From 1419587401ef64283aac50577ab952da3d1b7996 Mon Sep 17 00:00:00 2001
From: gitea-admin <admin@gitea.local>
Date: Thu, 20 Aug 2026 12:12:56 +0000
Subject: [PATCH] Feature/fsg gamma team ui fix (#3)

## Summary

What changed and why?

## Change Type

- [ ] Cowork feature
- [ ] Bug fix
- [x] Core AI contribution
- [ ] Test / hardening
- [ ] Performance
- [ ] Documentation

## Related Work

Cowork Task:

Core Repo: http://34.143.229.138/gitea-admin/fsg-ai-core-assets

Core AI Issue:

Core Task:

Related PR:

## Scope

What is intentionally included?

What is intentionally NOT included?

## Validation

- [ ] Unit tests
- [ ] Integration tests
- [ ] Manual verification
- [ ] Regression check

Commands / evidence:

## Security Impact

Permission / credential / network / customer data impact:

## Compatibility

- [ ] No breaking change
- [ ] Breaking change documented

## Reviewer Notes

Anything Cowork reviewers should pay attention to.

---------

Co-authored-by: Hiep Ha Van <hiephv3@fpt.com>
Co-authored-by: Nam Pham Dinh Thanh <nampdt@fpt.com>
Co-authored-by: Lam Hoang Van <lamhv7@fpt.com>
Co-authored-by: NamPDT <minhanhpkpro@gmail.com>
Reviewed-on: http://34.143.229.138/gitea-admin/cowork-local/pulls/3
---
 .gitattributes                                |   29 +
 .gitignore                                    |  133 +-
 .vibeflow-preview/entrypoint.sh               |   99 +
 __main__.py                                   |   20 +-
 app.py                                        |  763 ++-
 config.py                                     |   10 +-
 docs/Cowork-Local BamBOO.pptx                 |  Bin 0 -> 4668764 bytes
 docs/architecture.html                        |  327 ++
 docs/function_list.md                         |  473 ++
 docs/rag-qa.html                              |  540 +++
 docs/screens/controls.json                    | 4208 +++++++++++++++++
 docs/screens/dashboard-dark.png               |  Bin 0 -> 104747 bytes
 docs/screens/dashboard-light.png              |  Bin 0 -> 103598 bytes
 docs/screens/dialog-agent-edit-dark.png       |  Bin 0 -> 15774 bytes
 docs/screens/dialog-agent-edit-light.png      |  Bin 0 -> 15320 bytes
 docs/screens/dialog-co4e-agent-dark.png       |  Bin 0 -> 23632 bytes
 docs/screens/dialog-co4e-agent-light.png      |  Bin 0 -> 23549 bytes
 docs/screens/dialog-ext-connector-dark.png    |  Bin 0 -> 15526 bytes
 docs/screens/dialog-ext-connector-light.png   |  Bin 0 -> 15177 bytes
 docs/screens/dialog-file-edit-dark.png        |  Bin 0 -> 13089 bytes
 docs/screens/dialog-file-edit-light.png       |  Bin 0 -> 13433 bytes
 docs/screens/dialog-login-dark.png            |  Bin 0 -> 11954 bytes
 docs/screens/dialog-login-light.png           |  Bin 0 -> 11784 bytes
 docs/screens/dialog-permission-dark.png       |  Bin 0 -> 8849 bytes
 docs/screens/dialog-permission-light.png      |  Bin 0 -> 8794 bytes
 docs/screens/dialog-settings-dark.png         |  Bin 0 -> 44650 bytes
 docs/screens/dialog-settings-light.png        |  Bin 0 -> 44314 bytes
 docs/screens/dialog-skill-edit-dark.png       |  Bin 0 -> 12993 bytes
 docs/screens/dialog-skill-edit-light.png      |  Bin 0 -> 12764 bytes
 docs/screens/dialog-skills-dark.png           |  Bin 0 -> 41890 bytes
 docs/screens/dialog-skills-light.png          |  Bin 0 -> 41400 bytes
 docs/screens/dialog-task-editor-dark.png      |  Bin 0 -> 33405 bytes
 docs/screens/dialog-task-editor-light.png     |  Bin 0 -> 32712 bytes
 docs/screens/manifest.json                    |  542 +++
 docs/screens/monitoring-agents-admin-dark.png |  Bin 0 -> 89783 bytes
 .../screens/monitoring-agents-admin-light.png |  Bin 0 -> 89761 bytes
 docs/screens/monitoring-công-cụ-dark.png      |  Bin 0 -> 118352 bytes
 docs/screens/monitoring-công-cụ-light.png     |  Bin 0 -> 116277 bytes
 docs/screens/monitoring-icon-dark.png         |  Bin 0 -> 99596 bytes
 docs/screens/monitoring-icon-light.png        |  Bin 0 -> 100121 bytes
 .../monitoring-lịch-sử-gọi-mcp-dark.png       |  Bin 0 -> 191971 bytes
 .../monitoring-lịch-sử-gọi-mcp-light.png      |  Bin 0 -> 191080 bytes
 .../monitoring-nhật-ký-hành-động-dark.png     |  Bin 0 -> 193835 bytes
 .../monitoring-nhật-ký-hành-động-light.png    |  Bin 0 -> 193213 bytes
 .../monitoring-sự-kiện-bảo-mật-dark.png       |  Bin 0 -> 200307 bytes
 .../monitoring-sự-kiện-bảo-mật-light.png      |  Bin 0 -> 199938 bytes
 .../monitoring-trạng-thái-agent-dark.png      |  Bin 0 -> 70025 bytes
 .../monitoring-trạng-thái-agent-light.png     |  Bin 0 -> 69800 bytes
 docs/screens/monitoring-tổng-quan-dark.png    |  Bin 0 -> 123503 bytes
 docs/screens/monitoring-tổng-quan-light.png   |  Bin 0 -> 122311 bytes
 docs/screens/overlay-help-panel-dark.png      |  Bin 0 -> 12104 bytes
 docs/screens/overlay-help-panel-light.png     |  Bin 0 -> 12044 bytes
 docs/screens/schedule-calendar-dark.png       |  Bin 0 -> 84648 bytes
 docs/screens/schedule-calendar-light.png      |  Bin 0 -> 84934 bytes
 docs/screens/schedule-kanban-dark.png         |  Bin 0 -> 72630 bytes
 docs/screens/schedule-kanban-light.png        |  Bin 0 -> 72360 bytes
 docs/screens/workspace-co4e-dark.png          |  Bin 0 -> 92770 bytes
 docs/screens/workspace-co4e-light.png         |  Bin 0 -> 93107 bytes
 docs/screens/workspace-cowork-dark.png        |  Bin 0 -> 79606 bytes
 docs/screens/workspace-cowork-light.png       |  Bin 0 -> 79694 bytes
 docs/screens/workspace-folder-dark.png        |  Bin 0 -> 63247 bytes
 docs/screens/workspace-folder-light.png       |  Bin 0 -> 62854 bytes
 docs/screens/workspace-graphrag-dark.png      |  Bin 0 -> 60627 bytes
 docs/screens/workspace-graphrag-light.png     |  Bin 0 -> 60846 bytes
 docs/screens/workspace-project-dark.png       |  Bin 0 -> 76011 bytes
 docs/screens/workspace-project-light.png      |  Bin 0 -> 75416 bytes
 docs/ui-audit.html                            | 1175 +++++
 docs/ui-audit_v2.html                         | 1087 +++++
 i18n.py                                       |  199 +-
 podman-compose.preview.vibeflow.yaml          |   23 +
 preview-desktop                               |    0
 requirements (cloud copy).txt                 |    9 +
 requirements.txt                              |   24 +
 slides/cowork-local-bamboo/deck.html          |  677 +++
 slides/cowork-local-bamboo/deck.pdf           |  Bin 0 -> 843534 bytes
 slides/cowork-local-bamboo/deck.pptx          |  Bin 0 -> 3178831 bytes
 .../pytest-cache-files-kggsphad/CACHEDIR.TAG  |    0
 theme.py                                      | 1202 +++--
 tools/audit_gating.py                         |  102 +
 tools/audit_handwritten.py                    |   23 +
 tools/build_audit_page.py                     | 1599 +++++++
 tools/capture_screens.py                      |  366 ++
 tools/check_co4e.py                           |  204 +
 tools/check_combo_popup.py                    |   94 +
 tools/check_controls_alive.py                 |  219 +
 tools/check_cowork_screen.py                  |  177 +
 tools/check_dashboard.py                      |   95 +
 tools/check_design_parity.py                  |  392 ++
 tools/check_dialogs.py                        |  140 +
 tools/check_dock_corner.py                    |   94 +
 tools/check_graphrag_rescan.py                |  127 +
 tools/check_help_dock.py                      |  157 +
 tools/check_help_i18n.py                      |   80 +
 tools/check_icons_screen.py                   |  108 +
 tools/check_kanban_scroll.py                  |   94 +
 tools/check_layout_geometry.py                |  213 +
 tools/check_multi_screen.py                   |  133 +
 tools/check_nav.py                            |  342 ++
 tools/check_no_hscroll.py                     |  156 +
 tools/check_orphans.py                        |  114 +
 tools/check_probes_bite.py                    |  132 +
 tools/check_project_gate.py                   |  116 +
 tools/check_project_screen.py                 |  170 +
 tools/check_rail_align.py                     |  268 ++
 tools/check_rail_resize.py                    |  128 +
 tools/check_responsive.py                     |  119 +
 tools/extract_controls.py                     |  137 +
 tools/extract_handwritten.py                  |  157 +
 tools/seed_demo_data.py                       |  352 ++
 ui/accounts_tab.py                            |    4 +-
 ui/agents_admin_tab.py                        |  289 +-
 ui/calendar_view.py                           |   24 +-
 ui/chat_panel.py                              |   89 +-
 ui/chat_view.py                               |  103 +-
 ui/co4e_canvas.py                             |   52 +-
 ui/co4e_config_panel.py                       |  178 +-
 ui/co4e_tab.py                                |  395 +-
 ui/composer.py                                |   24 +-
 ui/connectors_panel.py                        |  317 +-
 ui/cowork_tab.py                              |   15 +-
 ui/dashboard_tab.py                           |   55 +-
 ui/ext_connector_dialog.py                    |   35 +-
 ui/folder_tab.py                              |   70 +-
 ui/help_agent_widget.py                       |  302 +-
 ui/icons.py                                   |   36 +-
 ui/icons_admin_tab.py                         |   62 +-
 ui/monitoring_tab.py                          |  863 +++-
 ui/schedule_task_tab.py                       | 1510 +++---
 ui/settings_dialog.py                         | 1377 +++---
 ui/sidebar.py                                 |    3 +
 ui/spline_chart.py                            |   14 +-
 ui/structure_graph_view.py                    | 2027 ++++----
 ui/task_editor_dialog.py                      |   82 +-
 ui/terminal_panel.py                          |   17 +-
 ui/tools_admin_tab.py                         |  183 +-
 ui/widgets.py                                 |  510 +-
 ui/workspace_tab.py                           |  294 +-
 137 files changed, 23356 insertions(+), 3722 deletions(-)
 create mode 100644 .gitattributes
 create mode 100644 .vibeflow-preview/entrypoint.sh
 create mode 100644 docs/Cowork-Local BamBOO.pptx
 create mode 100644 docs/architecture.html
 create mode 100644 docs/function_list.md
 create mode 100644 docs/rag-qa.html
 create mode 100644 docs/screens/controls.json
 create mode 100644 docs/screens/dashboard-dark.png
 create mode 100644 docs/screens/dashboard-light.png
 create mode 100644 docs/screens/dialog-agent-edit-dark.png
 create mode 100644 docs/screens/dialog-agent-edit-light.png
 create mode 100644 docs/screens/dialog-co4e-agent-dark.png
 create mode 100644 docs/screens/dialog-co4e-agent-light.png
 create mode 100644 docs/screens/dialog-ext-connector-dark.png
 create mode 100644 docs/screens/dialog-ext-connector-light.png
 create mode 100644 docs/screens/dialog-file-edit-dark.png
 create mode 100644 docs/screens/dialog-file-edit-light.png
 create mode 100644 docs/screens/dialog-login-dark.png
 create mode 100644 docs/screens/dialog-login-light.png
 create mode 100644 docs/screens/dialog-permission-dark.png
 create mode 100644 docs/screens/dialog-permission-light.png
 create mode 100644 docs/screens/dialog-settings-dark.png
 create mode 100644 docs/screens/dialog-settings-light.png
 create mode 100644 docs/screens/dialog-skill-edit-dark.png
 create mode 100644 docs/screens/dialog-skill-edit-light.png
 create mode 100644 docs/screens/dialog-skills-dark.png
 create mode 100644 docs/screens/dialog-skills-light.png
 create mode 100644 docs/screens/dialog-task-editor-dark.png
 create mode 100644 docs/screens/dialog-task-editor-light.png
 create mode 100644 docs/screens/manifest.json
 create mode 100644 docs/screens/monitoring-agents-admin-dark.png
 create mode 100644 docs/screens/monitoring-agents-admin-light.png
 create mode 100644 docs/screens/monitoring-công-cụ-dark.png
 create mode 100644 docs/screens/monitoring-công-cụ-light.png
 create mode 100644 docs/screens/monitoring-icon-dark.png
 create mode 100644 docs/screens/monitoring-icon-light.png
 create mode 100644 docs/screens/monitoring-lịch-sử-gọi-mcp-dark.png
 create mode 100644 docs/screens/monitoring-lịch-sử-gọi-mcp-light.png
 create mode 100644 docs/screens/monitoring-nhật-ký-hành-động-dark.png
 create mode 100644 docs/screens/monitoring-nhật-ký-hành-động-light.png
 create mode 100644 docs/screens/monitoring-sự-kiện-bảo-mật-dark.png
 create mode 100644 docs/screens/monitoring-sự-kiện-bảo-mật-light.png
 create mode 100644 docs/screens/monitoring-trạng-thái-agent-dark.png
 create mode 100644 docs/screens/monitoring-trạng-thái-agent-light.png
 create mode 100644 docs/screens/monitoring-tổng-quan-dark.png
 create mode 100644 docs/screens/monitoring-tổng-quan-light.png
 create mode 100644 docs/screens/overlay-help-panel-dark.png
 create mode 100644 docs/screens/overlay-help-panel-light.png
 create mode 100644 docs/screens/schedule-calendar-dark.png
 create mode 100644 docs/screens/schedule-calendar-light.png
 create mode 100644 docs/screens/schedule-kanban-dark.png
 create mode 100644 docs/screens/schedule-kanban-light.png
 create mode 100644 docs/screens/workspace-co4e-dark.png
 create mode 100644 docs/screens/workspace-co4e-light.png
 create mode 100644 docs/screens/workspace-cowork-dark.png
 create mode 100644 docs/screens/workspace-cowork-light.png
 create mode 100644 docs/screens/workspace-folder-dark.png
 create mode 100644 docs/screens/workspace-folder-light.png
 create mode 100644 docs/screens/workspace-graphrag-dark.png
 create mode 100644 docs/screens/workspace-graphrag-light.png
 create mode 100644 docs/screens/workspace-project-dark.png
 create mode 100644 docs/screens/workspace-project-light.png
 create mode 100644 docs/ui-audit.html
 create mode 100644 docs/ui-audit_v2.html
 create mode 100644 podman-compose.preview.vibeflow.yaml
 create mode 100644 preview-desktop
 create mode 100644 requirements (cloud copy).txt
 create mode 100644 requirements.txt
 create mode 100644 slides/cowork-local-bamboo/deck.html
 create mode 100644 slides/cowork-local-bamboo/deck.pdf
 create mode 100644 slides/cowork-local-bamboo/deck.pptx
 create mode 100644 tests/pytest-cache-files-kggsphad/CACHEDIR.TAG
 create mode 100644 tools/audit_gating.py
 create mode 100644 tools/audit_handwritten.py
 create mode 100644 tools/build_audit_page.py
 create mode 100644 tools/capture_screens.py
 create mode 100644 tools/check_co4e.py
 create mode 100644 tools/check_combo_popup.py
 create mode 100644 tools/check_controls_alive.py
 create mode 100644 tools/check_cowork_screen.py
 create mode 100644 tools/check_dashboard.py
 create mode 100644 tools/check_design_parity.py
 create mode 100644 tools/check_dialogs.py
 create mode 100644 tools/check_dock_corner.py
 create mode 100644 tools/check_graphrag_rescan.py
 create mode 100644 tools/check_help_dock.py
 create mode 100644 tools/check_help_i18n.py
 create mode 100644 tools/check_icons_screen.py
 create mode 100644 tools/check_kanban_scroll.py
 create mode 100644 tools/check_layout_geometry.py
 create mode 100644 tools/check_multi_screen.py
 create mode 100644 tools/check_nav.py
 create mode 100644 tools/check_no_hscroll.py
 create mode 100644 tools/check_orphans.py
 create mode 100644 tools/check_probes_bite.py
 create mode 100644 tools/check_project_gate.py
 create mode 100644 tools/check_project_screen.py
 create mode 100644 tools/check_rail_align.py
 create mode 100644 tools/check_rail_resize.py
 create mode 100644 tools/check_responsive.py
 create mode 100644 tools/extract_controls.py
 create mode 100644 tools/extract_handwritten.py
 create mode 100644 tools/seed_demo_data.py

diff --git a/.gitattributes b/.gitattributes
new file mode 100644
index 0000000..207c701
--- /dev/null
+++ b/.gitattributes
@@ -0,0 +1,29 @@
+# Normalise line endings so a Windows checkout and a Linux CI runner see the
+# same bytes. Without this, committing from Windows records CRLF and every file
+# shows as fully rewritten to anyone (or any CI job) on Linux.
+* text=auto eol=lf
+
+# Windows-only scripts must keep CRLF or cmd.exe mis-parses them.
+*.bat   text eol=crlf
+*.cmd   text eol=crlf
+*.ps1   text eol=crlf
+
+# Binary: never touch, never try to diff as text.
+*.png   binary
+*.jpg   binary
+*.jpeg  binary
+*.gif   binary
+*.ico   binary
+*.pdf   binary
+*.pptx  binary
+*.xlsx  binary
+*.docx  binary
+*.7z    binary
+*.zip   binary
+*.ttf   binary
+*.woff  binary
+*.woff2 binary
+
+# The audit page is a single 8 MB file with base64 images inlined — a textual
+# diff of it is noise, and merging it by hand is never the right move.
+docs/ui-audit.html  -diff -merge
diff --git a/.gitignore b/.gitignore
index 578f3f7..182f2ee 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,39 +1,122 @@
-# Python bytecode and test/tool caches
+# =============================================================================
+# Dependencies
+# =============================================================================
+node_modules/
+.pnpm-store/
 __pycache__/
-*.py[cod]
-*$py.class
-.pytest_cache/
-.ruff_cache/
-.mypy_cache/
-.coverage
-htmlcov/
-
-# Local environments and packaging output
+*.pyc
+*.pyo
+*.pyd
 .venv/
 venv/
 env/
-build/
-dist/
+.env.venv/
+pip-wheel-metadata/
 *.egg-info/
+*.egg
+.eggs/
+bower_components/
 
-# Local configuration, credentials, and runtime data
+# =============================================================================
+# Environment & Secrets
+# =============================================================================
 .env
-.env.*
-!.env.example
-.cowork_local/
-ms365_token_cache.bin
-*.log
-*.sqlite
-*.sqlite3
-*.db
+.env.local
+.env.*.local
+.env.production
+.env.development
+.env.preview
 *.pem
 *.key
-*.p12
-*.pfx
+secrets/
+credentials.json
+.npmrc
+.yarnrc
 
-# Editors and operating systems
-.DS_Store
+# =============================================================================
+# Build & Distribution
+# =============================================================================
+dist/
+build/
+out/
+.next/
+.nuxt/
+.output/
+
+# =============================================================================
+# IDE & Editor
+# =============================================================================
 .idea/
 .vscode/
 *.swp
+*.swo
 *~
+.project
+.classpath
+.settings/
+*.sublime-project
+*.sublime-workspace
+
+# =============================================================================
+# OS Files
+# =============================================================================
+.DS_Store
+.DS_Store?
+._*
+.Spotlight-V100
+.Trashes
+ehthumbs.db
+Thumbs.db
+desktop.ini
+
+# =============================================================================
+# Logs & Debug
+# =============================================================================
+*.log
+logs/
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+pnpm-debug.log*
+
+# =============================================================================
+# Testing & Coverage
+# =============================================================================
+.coverage
+.coverage.*
+htmlcov/
+.pytest_cache/
+.tox/
+.nox/
+coverage/
+*.cover
+*.py,cover
+.hypothesis/
+.nyc_output/
+test-results/
+playwright-report/
+
+# =============================================================================
+# AI & Agent Workspace
+# =============================================================================
+vibeflow.json
+.claude/
+.cursor/
+.aider/
+.continue/
+.copilot/
+
+# =============================================================================
+# Temporary & Cache
+# =============================================================================
+*.tmp
+*.temp
+.cache/
+.parcel-cache/
+.turbo/
+*.tsbuildinfo
+
+# Runtime data the app writes next to itself when it is run from the repo.
+# A chat transcript got committed and pushed this way.
+.cowork_history/
+.cowork_local/
diff --git a/.vibeflow-preview/entrypoint.sh b/.vibeflow-preview/entrypoint.sh
new file mode 100644
index 0000000..e18260d
--- /dev/null
+++ b/.vibeflow-preview/entrypoint.sh
@@ -0,0 +1,99 @@
+#!/bin/sh
+# Boot the Cowork-Local PySide6 desktop app on Qt's built-in VNC server, then
+# expose the live GUI to the browser through noVNC + websockify on :6080.
+#
+# This entrypoint is intended to be run from a `python:3.11-slim-bookworm`
+# container via podman-compose.  All setup (Qt runtime libs, noVNC, PySide6
+# wheels) happens here so we don't need a custom image / Dockerfile.
+# Idempotent: reruns are fast (apt reuses debs, pip uses the named cache vol).
+
+set -e
+
+log() { printf '[entrypoint] %s\n' "$*"; }
+
+# ---------------------------------------------------------------------------
+# 1. System runtime libraries: Qt6 needs EGL/GL/XCB; noVNC needs websockify.
+# ---------------------------------------------------------------------------
+if [ ! -f /var/cache/cowork_setup.stamp ]; then
+    log "installing apt packages (first run only)…"
+    apt-get update -qq
+    apt-get install -y --no-install-recommends \
+        libegl1 libgl1 libglib2.0-0 libdbus-1-3 libfontconfig1 \
+        libxkbcommon0 libxkbcommon-x11-0 libxcb-cursor0 \
+        libxcb-icccm4 libxcb-image0 libxcb-keysyms1 libxcb-randr0 \
+        libxcb-render-util0 libxcb-shape0 libxcb-sync1 \
+        libxcb-xfixes0 libxcb-xinerama0 libxcb-xkb1 libxcb-util1 \
+        libxcomposite1 libxdamage1 libxrandr2 libxss1 libxtst6 \
+        libxi6 libxrender1 libfreetype6 \
+        fonts-dejavu fonts-noto-cjk \
+        netcat-openbsd ca-certificates >/dev/null
+    rm -rf /var/lib/apt/lists/*
+    touch /var/cache/cowork_setup.stamp
+    log "apt setup done."
+else
+    log "apt setup already done (skipping)."
+fi
+
+# ---------------------------------------------------------------------------
+# 2. Python dependencies (cached in the named `pip-cache` volume).
+#    `websockify` is shipped as a pip wheel and bundles the noVNC web
+#    assets under its package `web/` directory, so we don't need the
+#    (unavailable on slim-bookworm) apt `novnc` / `websockify` packages.
+# ---------------------------------------------------------------------------
+log "ensuring python deps…"
+pip install --no-cache-dir --quiet \
+    "PySide6>=6.6" "pydantic>=2" requests psutil websockify numpy
+log "python deps OK."
+
+# ---------------------------------------------------------------------------
+# 3. Make the workspace importable as `cowork_local` (the package name that
+#    `python -m cowork_local` and the test suite expect).  Compose mounts the
+#    live repo at /workspace; we add a thin symlink at /opt/cowork_local.
+# ---------------------------------------------------------------------------
+ln -sfn /workspace /opt/cowork_local
+export PYTHONPATH=/opt
+
+# ---------------------------------------------------------------------------
+# 4. Launch the app on Qt's built-in VNC platform (no Xvfb needed).
+#    Qt VNC listens on QT_QPA_VNC_HOST:QT_QPA_VNC_PORT (127.0.0.1:5900).
+# ---------------------------------------------------------------------------
+: > /var/log/app.log
+log "launching app on Qt VNC platform…"
+python -m cowork_local >/var/log/app.log 2>&1 &
+APP_PID=$!
+
+# Wait until the VNC socket accepts a connection (or give up after 60s).
+for i in $(seq 1 120); do
+    if nc -z 127.0.0.1 "${QT_QPA_VNC_PORT:-5900}" 2>/dev/null; then
+        log "VNC server up on 127.0.0.1:${QT_QPA_VNC_PORT:-5900} (pid ${APP_PID})."
+        break
+    fi
+    if ! kill -0 "${APP_PID}" 2>/dev/null; then
+        log "app process died before VNC was up; log tail:"
+        tail -n 60 /var/log/app.log >&2 || true
+        exit 1
+    fi
+    sleep 0.5
+done
+
+if ! nc -z 127.0.0.1 "${QT_QPA_VNC_PORT:-5900}" 2>/dev/null; then
+    log "VNC never came up; log tail:"
+    tail -n 60 /var/log/app.log >&2 || true
+    exit 1
+fi
+
+# ---------------------------------------------------------------------------
+# 5. Bridge browser -> VNC.  websockify serves the noVNC web client on :6080
+#    and proxies WebSocket connections to the raw VNC server.  The noVNC web
+#    assets are bundled inside the websockify pip wheel.
+# ---------------------------------------------------------------------------
+NOVNC_WEB="$(python - <<'PY'
+import os, websockify
+print(os.path.join(os.path.dirname(websockify.__file__), "web"))
+PY
+)"
+[ -f "${NOVNC_WEB}/vnc.html" ] || { log "noVNC web assets not found at ${NOVNC_WEB}, aborting."; exit 1; }
+
+log "noVNC web assets: ${NOVNC_WEB}"
+log "starting noVNC bridge on 0.0.0.0:6080 -> 127.0.0.1:${QT_QPA_VNC_PORT:-5900}"
+exec websockify --web="${NOVNC_WEB}" 0.0.0.0:6080 "127.0.0.1:${QT_QPA_VNC_PORT:-5900}"
diff --git a/__main__.py b/__main__.py
index 7fd094f..4c2c993 100644
--- a/__main__.py
+++ b/__main__.py
@@ -1,13 +1,29 @@
-"""Entry point: ``python -m cowork_local``."""
+"""Entry point: ``python -m cowork_local``.
+
+Also works when run directly as ``python __main__.py`` — see main().
+"""
 from __future__ import annotations
 
+import os
 import sys
 
 
 def main() -> int:
     # Imported lazily so that ``-h`` style tooling and tests can import the
     # package without spinning up a full Qt application.
-    from .app import run
+    #
+    # `from .app import run` requires this file to be loaded as part of the
+    # `cowork_local` package (i.e. via `python -m cowork_local`). When run as
+    # a plain script (`python __main__.py`), `__package__` is empty so the
+    # relative import fails — in that case put the package root (the parent
+    # of this file's directory) on sys.path and use an absolute import.
+    if __package__:
+        from .app import run
+    else:
+        parent = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+        if parent not in sys.path:
+            sys.path.insert(0, parent)
+        from cowork_local.app import run
 
     return run(sys.argv)
 
diff --git a/app.py b/app.py
index 2ed8f89..49c974b 100644
--- a/app.py
+++ b/app.py
@@ -7,18 +7,21 @@ from pathlib import Path
 from typing import List
 
 from PySide6.QtCore import Qt, QTimer
-from PySide6.QtGui import QGuiApplication, QIcon
+from PySide6.QtGui import QColor, QGuiApplication, QIcon
 from PySide6.QtWidgets import (
+    QStyledItemDelegate,
     QApplication, QComboBox, QHBoxLayout, QLabel, QMainWindow, QMenu,
-    QPushButton, QSizePolicy, QSplitter, QStackedWidget, QSystemTrayIcon,
-    QToolButton, QTreeWidget, QTreeWidgetItem, QVBoxLayout, QWidget,
+    QPushButton, QScrollArea, QSizePolicy, QSplitter, QStackedWidget,
+    QSystemTrayIcon, QToolButton, QTreeWidget, QTreeWidgetItem, QVBoxLayout,
+    QWidget,
 )
 
 from . import APP_NAME, DISPLAY_NAME, __version__
 from .config import PROVIDER_LABELS, AppConfig
 from .i18n import LANGUAGE_SHORT, LANGUAGES, get_language, on_language_changed, set_language, tr
 from .state import AppContext
-from .theme import ACCENT, stylesheet
+from .ui.widgets import tidy_popup
+from .theme import current_palette, set_active_theme, stylesheet
 from .core.task_scheduler import TaskScheduler
 from .ui.cowork_tab import CoworkTab
 from .ui.dashboard_tab import DashboardTab
@@ -35,6 +38,23 @@ ASSETS = Path(__file__).resolve().parent / "assets"
 # shows icon-only (still fully clickable, just narrower).
 _NAV_EXPANDED_WIDTH = 150
 _NAV_COLLAPSED_WIDTH = 54
+# The splitter between rail and content draws a drag handle. It only means
+# something if the rail can actually take a width from it, so the expanded rail
+# is a range rather than one number; long project and thread names in RECENTS
+# are the reason someone would widen it.
+#
+# The ceiling is a SHARE of the window, not a pixel count: 360px is a quarter
+# of a 1440 screen and more than a quarter of a 1280 one, where it left the
+# seven Kanban lanes 920px of the 1067 they need. A share behaves the same on
+# every monitor.
+# Where a rail row starts, and how much air sits between its icon and its
+# label. The tree rows get these from the style; anything laid out by hand
+# beside them has to use the same two numbers or it will not line up.
+_NAV_ROW_INSET = 4
+_NAV_ROW_GAP = 6
+_NAV_MIN_WIDTH = 132
+_NAV_MAX_SHARE = 0.22
+_NAV_MAX_CEILING = 360
 
 
 def app_icon() -> QIcon:
@@ -64,10 +84,12 @@ class _Toast(QLabel):
         self._timer.timeout.connect(self.hide)
 
     def show_message(self, text: str, ok: bool = True, ms: int = 4500) -> None:
-        bg = "#1f9d63" if ok else "#e5484d"
+        p = current_palette()
+        bg = p.success_soft if ok else p.danger_soft
+        fg = p.success if ok else p.danger
         self.setStyleSheet(
-            f"#toast {{ background:{bg}; color:white; border-radius:12px;"
-            f" padding:10px 16px; font-weight:600; }}")
+            f"#toast {{ background:{bg}; color:{fg}; border:1px solid {fg};"
+            f" border-radius:{p.radius}px; padding:10px 16px; font-weight:600; }}")
         self.setText(text)
         self.adjustSize()
         self.move(14, 14)          # top-left of the window
@@ -76,6 +98,23 @@ class _Toast(QLabel):
         self._timer.start(ms)
 
 
+class _NavItemDelegate(QStyledItemDelegate):
+    """Keep a rail row's icon on the left edge, whatever the column is doing.
+
+    QStyledItemDelegate hands the style decorationAlignment = AlignHCenter, so
+    a row with no label — every row once the rail collapses to 54px — has its
+    icon centred inside whatever box the column happens to give it. That box
+    tracks the column width, which is not stable: stretched to the viewport the
+    icons land in the middle of the rail, while a column left wider than the
+    view leaves them at the left. Same code, two different pictures, which is
+    why a test render disagreed with the running app.
+    """
+
+    def initStyleOption(self, option, index):
+        super().initStyleOption(option, index)
+        option.decorationAlignment = Qt.AlignLeft | Qt.AlignVCenter
+
+
 class MainWindow(QMainWindow):
     # Nav rows (Dashboard/Schedule/Monitoring are lazy; Workspace is the eager home page).
     _ROW_DASHBOARD, _ROW_SCHEDULE, _ROW_WORKSPACE, _ROW_MONITORING = 0, 1, 2, 3
@@ -155,8 +194,6 @@ class MainWindow(QMainWindow):
             ("app.tab.workspace", "workspaces", None, self.workspace),
             ("app.tab.monitoring", "monitoring", self._build_monitoring, None),
         ]
-        # Container pages whose sub-tabs become expandable nav children.
-        self._nav_parents = {self._ROW_WORKSPACE, self._ROW_MONITORING}
         self._page_widgets = []   # page index → widget (placeholder until lazily built)
         self._built = []
         for _key, _icon_name, _builder, widget in self._nav_defs:
@@ -165,48 +202,37 @@ class MainWindow(QMainWindow):
             self._page_widgets.append(page)
             self._built.append(widget is not None)
 
-        # Left nav rail as a parent→child accordion (Claude-style): the container
-        # pages (Workspaces, Monitoring) expand to list their sub-views as
-        # children, and their in-content tab strips are hidden — so the content
-        # area is as large as possible.
-        from .ui.icons import icon as _icon
-        self.nav = QTreeWidget()
-        self.nav.setObjectName("navrail")
-        self.nav.setHeaderHidden(True)
-        self.nav.setIndentation(14)
-        self.nav.setRootIsDecorated(True)
-        self.nav.setExpandsOnDoubleClick(False)
-        self._nav_items = []      # page index → top-level QTreeWidgetItem
-        for page, (key, icon_name, _b, _w) in enumerate(self._nav_defs):
-            it = QTreeWidgetItem([tr(key)])
-            it.setIcon(0, _icon(icon_name))
-            it.setData(0, Qt.UserRole, {"page": page, "sub": None,
-                                        "parent": page in self._nav_parents, "key": key})
-            # A container (Monitoring/Workspace) always shows the dropdown arrow —
-            # even before its page/children are lazily built — so it's obvious it
-            # holds multiple sub-views. It stays collapsed until first expanded.
-            if page in self._nav_parents:
-                it.setChildIndicatorPolicy(QTreeWidgetItem.ShowIndicator)
-            self.nav.addTopLevelItem(it)
-            self._nav_items.append(it)
+        # Left nav rail — ONE FLAT LIST, no accordion. Every screen the user
+        # works in is one click away: the Workspace sub-views are listed
+        # directly instead of hiding behind an expandable parent. The two
+        # occasional admin destinations sit in a second, bottom-pinned list.
+        #
+        # Monitoring is the exception that keeps its sub-views OUT of the rail:
+        # it has eight, which would double the rail's length for screens opened
+        # once a week. Its own tab strip is left visible instead (it was hidden
+        # while the rail carried its children), so all eight stay reachable.
+        self.nav = self._new_nav_tree("navrail")
+        self.nav_bottom = self._new_nav_tree("navrailBottom")
+        self._nav_building = False       # guards the rebuild → select → rebuild loop
         self.workspace.hide_tab_bar()
-        self._reload_nav_children(self._ROW_WORKSPACE)     # Workspace is eager
-        self.workspace.subtabs_changed.connect(
-            lambda: self._reload_nav_children(self._ROW_WORKSPACE))
-        self.nav.currentItemChanged.connect(lambda cur, _prev: self._navigate(cur))
-        self.nav.itemClicked.connect(self._on_nav_click)
-        self.nav.itemExpanded.connect(self._on_nav_expanded)   # build children lazily
+        self._rebuild_nav()
+        self.workspace.subtabs_changed.connect(self._rebuild_nav)
+        for tree in (self.nav, self.nav_bottom):
+            tree.currentItemChanged.connect(
+                lambda cur, _prev, t=tree: self._on_nav_current(t, cur))
         rlay.addWidget(self.pages, 1)
 
         # Nav rail wrapper: a small toggle button ABOVE the page list so the
         # whole rail can collapse to icon-only (still fully clickable). Same
         # collapse/expand chevron iconography as every other collapsible panel.
         from .ui.icons import collapse_left_icon, collapse_right_icon
+        from .ui.icons import icon as _icon
         self._collapse_left_icon = collapse_left_icon
         self._collapse_right_icon = collapse_right_icon
         self._nav_wrap = QWidget()
         self._nav_wrap.setObjectName("navWrap")
-        self._nav_wrap.setFixedWidth(_NAV_EXPANDED_WIDTH)
+        self._nav_width = _NAV_EXPANDED_WIDTH   # remembered across collapses
+        self._set_nav_width_range(_NAV_MIN_WIDTH, self._nav_max_width())
         nvl = QVBoxLayout(self._nav_wrap)
         nvl.setContentsMargins(0, 0, 0, 0)
         nvl.setSpacing(0)
@@ -228,7 +254,107 @@ class MainWindow(QMainWindow):
         toggle_row.addWidget(self._nav_toggle_btn, 0, Qt.AlignLeft)
         toggle_row.addStretch(1)
         nvl.addLayout(toggle_row)
-        nvl.addWidget(self.nav, 1)
+        # Primary action at the top of the rail, with the project it will land
+        # in named right above it. Before, starting a chat in another project
+        # meant leaving Cowork → Project tab → click a row → come back.
+        self.nav_project = QComboBox()
+        self.nav_project.setObjectName("navProjectPick")
+        self.nav_project.setToolTip(tr("app.nav.project_pick"))
+        self.nav_project.currentIndexChanged.connect(self._on_rail_project_pick)
+        tidy_popup(self.nav_project)
+        self.nav_new_chat = QPushButton(tr("cowork.new_chat"))
+        self.nav_new_chat.setObjectName("navNewChatBtn")
+        self.nav_new_chat.setIcon(_icon("plus"))
+        self.nav_new_chat.setCursor(Qt.PointingHandCursor)
+        self.nav_new_chat.clicked.connect(self._on_rail_new_chat)
+        # At 54px the picker cannot show a name, but dropping it altogether left
+        # the collapsed rail with no way to change project at all. This stands in
+        # for it: same list, same handler, just the folder icon and a tooltip.
+        self.nav_project_btn = QToolButton()
+        self.nav_project_btn.setObjectName("navProjectPickMini")
+        self.nav_project_btn.setIcon(_icon("folder"))
+        self.nav_project_btn.setCursor(Qt.PointingHandCursor)
+        self.nav_project_btn.setPopupMode(QToolButton.InstantPopup)
+        self.nav_project_btn.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Fixed)
+        self.nav_project_btn.setMenu(QMenu(self.nav_project_btn))
+        self.nav_project_btn.menu().aboutToShow.connect(self._fill_rail_project_menu)
+        self.nav_project_btn.setVisible(False)
+        head = QVBoxLayout()
+        head.setContentsMargins(6, 0, 6, 6)
+        head.setSpacing(6)
+        head.addWidget(self.nav_project)
+        head.addWidget(self.nav_project_btn)
+        head.addWidget(self.nav_new_chat)
+        nvl.addLayout(head)
+        self.workspace.project_selected.connect(self._sync_rail_project)
+        self.workspace.projects_changed.connect(self._sync_rail_project)
+        self._syncing_rail_project = False
+        self._sync_rail_project()
+        # The destinations and RECENTS scroll together; the bottom group, the
+        # Settings button and the account row stay pinned below them.
+        #
+        # Without this the rail simply ran out of room on a short window (a
+        # 1280×720 laptop leaves ~570px here): nav and the bottom group have
+        # fixed heights, so the squeeze fell entirely on RECENTS, and once that
+        # hit zero the layout drew the "GẦN ĐÂY" heading straight over the last
+        # nav row.
+        self._nav_scroll = QScrollArea()
+        self._nav_scroll.setObjectName("navScroll")
+        self._nav_scroll.setWidgetResizable(True)
+        self._nav_scroll.setFrameShape(QScrollArea.NoFrame)
+        self._nav_scroll.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
+        scroll_body = QWidget()
+        sv = QVBoxLayout(scroll_body)
+        sv.setContentsMargins(0, 0, 0, 0)
+        sv.setSpacing(0)
+        sv.addWidget(self.nav, 0)
+        # RECENTS — the threads of the project named in the picker above, right
+        # where Claude puts them. A shortcut only: the full History panel (search,
+        # filters, pin, bulk delete, context menu) stays exactly where it is, and
+        # "all projects…" at the end of this list opens it.
+        self.nav_recents_hdr = QLabel(tr("app.nav.recents"))
+        self.nav_recents_hdr.setObjectName("navSectionHdr")
+        sv.addWidget(self.nav_recents_hdr)
+        self.nav_recents = self._new_nav_tree("navRecents")
+        self.nav_recents.itemClicked.connect(self._on_rail_recent)
+        sv.addWidget(self.nav_recents, 1)
+        # Collapsing hides RECENTS, and with it the only item carrying a stretch
+        # factor. A box layout with nothing left to expand centres what remains,
+        # so the destinations dropped ~300px down the rail — "thu gọn menu lại
+        # ra giữa". This spacer takes the slack instead, and takes none of it
+        # while RECENTS is visible (stretch 0 against its 1).
+        sv.addStretch(0)
+        self._nav_scroll.setWidget(scroll_body)
+        nvl.addWidget(self._nav_scroll, 1)
+        # Bottom-pinned group: the places you visit occasionally, kept out of the
+        # way of the ones you live in. A hairline (styled via #navrailBottom in
+        # theme.py) separates the two lists.
+        nvl.addWidget(self.nav_bottom, 0)
+        # Settings reads as one more row under Dashboard / Giám sát, so its icon
+        # and label must start exactly where theirs do. Letting QPushButton place
+        # them does not achieve that: the gap it leaves between icon and text is
+        # the platform style's, and on macOS it is visibly tighter than the tree
+        # rows above — a Windows-tuned nudge only moved the mismatch. So the row
+        # is laid out here, in the same two numbers the tree uses: 4px in, 6px
+        # between.
+        self._nav_settings_btn = QPushButton()
+        self._nav_settings_btn.setObjectName("navSettingsBtn")
+        self._nav_settings_btn.setFlat(True)
+        self._nav_settings_btn.setCursor(Qt.PointingHandCursor)
+        self._nav_settings_btn.clicked.connect(self._open_settings)
+        srow = QHBoxLayout(self._nav_settings_btn)
+        srow.setContentsMargins(_NAV_ROW_INSET, 6, 8, 6)
+        srow.setSpacing(_NAV_ROW_GAP)
+        self._nav_settings_icon = QLabel()
+        self._nav_settings_icon.setPixmap(_icon("settings").pixmap(16, 16))
+        self._nav_settings_icon.setFixedSize(16, 16)
+        self._nav_settings_text = QLabel(tr("app.settings"))
+        srow.addWidget(self._nav_settings_icon)
+        srow.addWidget(self._nav_settings_text)
+        srow.addStretch(1)
+        nvl.addWidget(self._nav_settings_btn)
+        self._account_row = self._build_account_row()
+        nvl.addWidget(self._account_row)
 
         self.split = QSplitter(Qt.Horizontal)
         self.split.addWidget(self._nav_wrap)
@@ -236,10 +362,12 @@ class MainWindow(QMainWindow):
         self.split.setStretchFactor(0, 0)
         self.split.setStretchFactor(1, 1)
         self.split.setSizes([_NAV_EXPANDED_WIDTH, 1000])
+        self.split.splitterMoved.connect(self._on_split_moved)
         self.setCentralWidget(self.split)
-        # Workspace = landing/home (expand it and select its first sub-view).
-        self._nav_items[self._ROW_WORKSPACE].setExpanded(True)
-        self.nav.setCurrentItem(self._nav_items[self._ROW_WORKSPACE])
+        # Landing stays Workspace ▸ Project, exactly as before. Go through _goto
+        # so the page is actually shown — selecting the row alone only moves the
+        # highlight (its signals are blocked to avoid rebuild loops).
+        self._goto(self._ROW_WORKSPACE, self.workspace.current_subtab())
         self.toast = _Toast(self)   # top-left "task done" popup
         # Floating in-app Help assistant — a robot icon pinned bottom-right on
         # every screen; expands into a small help-only chat (see
@@ -253,8 +381,8 @@ class MainWindow(QMainWindow):
         # widget sits at the right end and is never cleared by showMessage (which
         # writes on the left).
         self._credit = QLabel(tr("app.credit"))
-        self._credit.setObjectName("hint")
-        self._credit.setStyleSheet("color: rgba(140,146,152,0.85); padding: 0 10px;")
+        self._credit.setObjectName("faint")
+        self._credit.setStyleSheet("padding: 0 10px;")
         self.statusBar().addPermanentWidget(self._credit)
         self._restore_sessions()
         self._setup_tray()
@@ -273,6 +401,11 @@ class MainWindow(QMainWindow):
 
     def resizeEvent(self, event):  # noqa: N802 - Qt override
         super().resizeEvent(event)
+        # The rail's ceiling is a share of the window, so it moves with the
+        # window. Computed once at construction it was read off a not-yet-sized
+        # window and stuck at 162px on every monitor.
+        if getattr(self, "_nav_wrap", None) is not None and not self._nav_collapsed:
+            self._set_nav_width_range(_NAV_MIN_WIDTH, self._nav_max_width())
         # Keep the floating Help assistant pinned to the bottom-right corner.
         if getattr(self, "help_agent", None) is not None:
             self.help_agent.reposition()
@@ -280,8 +413,24 @@ class MainWindow(QMainWindow):
     def showEvent(self, event):  # noqa: N802 - Qt override
         super().showEvent(event)
         if getattr(self, "help_agent", None) is not None:
+            self._update_dock_guard()
             self.help_agent.reposition()
             self.help_agent.raise_()
+        # Build GraphRAG's browser view and first graph once the window is up
+        # and idle, so clicking GraphRAG does not sit on an empty view while
+        # both happen. 3s is after the first paint and any startup refresh.
+        if not getattr(self, "_graph_prewarmed", False):
+            self._graph_prewarmed = True
+            QTimer.singleShot(3000, self._prewarm_graph)
+
+    def _prewarm_graph(self) -> None:
+        view = getattr(self, "structure", None)
+        if view is None or not hasattr(view, "prewarm"):
+            return
+        try:
+            view.prewarm()
+        except Exception:  # noqa: BLE001 — a warm-up must never break the app
+            pass
 
     # ---- i18n ----------------------------------------------------------
     def _retranslate(self) -> None:
@@ -368,12 +517,9 @@ class MainWindow(QMainWindow):
         placeholder.deleteLater()
         self._page_widgets[row] = real
         self._built[row] = True
-        # Container pages: hide their in-content tab strip + list their sub-views
-        # as children in the nav rail now that the real widget exists.
-        if hasattr(real, "hide_tab_bar"):
-            real.hide_tab_bar()
-        if row in self._nav_parents:
-            self._reload_nav_children(row)
+        # Monitoring KEEPS its own tab strip: its eight sub-views live in the
+        # page, not in the rail. Workspace is the one that hides its strip,
+        # because the rail lists its sub-views directly.
 
     def _page_index(self, widget) -> int:
         if widget is self.workspace:
@@ -386,28 +532,311 @@ class MainWindow(QMainWindow):
             return self._ROW_MONITORING
         return self.pages.indexOf(widget)
 
-    # ---- nav rail collapse (icon-only) --------------------------------
+    # ---- flat nav rail -------------------------------------------------
+    def _new_nav_tree(self, name: str) -> QTreeWidget:
+        """One flat, single-column list. No indentation and no expand arrows —
+        every row is a destination, nothing is a container."""
+        tree = QTreeWidget()
+        tree.setObjectName(name)
+        tree.setHeaderHidden(True)
+        tree.setIndentation(0)
+        tree.setRootIsDecorated(False)
+        tree.setUniformRowHeights(True)
+        # The column follows the viewport instead of the widest label. Left
+        # to size itself it stayed ~100px wide inside the 54px collapsed
+        # rail, so a horizontal scrollbar appeared and slid the icons out of
+        # the position they hold while the rail is open.
+        from PySide6.QtWidgets import QHeaderView
+        tree.header().setSectionResizeMode(0, QHeaderView.Stretch)
+        tree.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
+        tree.setItemDelegate(_NavItemDelegate(tree))
+        return tree
+
+    def _nav_rows(self):
+        """(tree, page, sub, label, icon, enabled) for every row, rail order.
+
+        Workspace contributes all five of its sub-views — including the two the
+        project gate currently disables — so the rail never changes shape while
+        the user is looking at it.
+        """
+        rows = [(self.nav, self._ROW_WORKSPACE, sub, label, ic, on)
+                for label, sub, ic, on in self.workspace.nav_entries()]
+        rows.append((self.nav, self._ROW_SCHEDULE, None,
+                     tr("app.tab.schedule"), "schedule", True))
+        rows.append((self.nav_bottom, self._ROW_DASHBOARD, None,
+                     tr("app.tab.dashboard"), "dashboard", True))
+        rows.append((self.nav_bottom, self._ROW_MONITORING, None,
+                     tr("app.tab.monitoring"), "monitoring", True))
+        return rows
+
+    def _rebuild_nav(self, force: bool = False) -> None:
+        """Re-fill both lists from _nav_rows(), keeping the current selection.
+
+        Rebuilding changes the current item, which would fire navigation and can
+        loop back here via subtabs_changed — hence the guard and the blocked
+        signals.
+        """
+        if self._nav_building:
+            return
+        spec = self._nav_rows()
+        # Rebuilding deletes the QTreeWidgetItems, including the one a signal is
+        # currently being delivered for. subtabs_changed fires on every visit to
+        # Workspace, so skip the rebuild unless the rows really differ.
+        sig = [(label, page, sub, enabled)
+               for _t, page, sub, label, _ic, enabled in spec]
+        if not force and sig == getattr(self, "_nav_sig", None):
+            return
+        self._nav_sig = sig
+        self._nav_building = True
+        try:
+            from .ui.icons import icon as _icon
+            keep = self._current_nav_key()
+            for tree in (self.nav, self.nav_bottom):
+                blocked = tree.blockSignals(True)
+                tree.clear()
+                tree.blockSignals(blocked)
+            for tree, page, sub, label, icon_name, enabled in spec:
+                it = QTreeWidgetItem([""] if self._nav_collapsed else [label])
+                it.setIcon(0, _icon(icon_name))
+                it.setData(0, Qt.UserRole, {"page": page, "sub": sub})
+                if not enabled:
+                    # Same gate as before, shown instead of hidden: the row stays
+                    # in place, greyed, and says why it cannot be opened.
+                    it.setDisabled(True)
+                    it.setToolTip(0, tr("app.nav.needs_project"))
+                elif self._nav_collapsed:
+                    it.setToolTip(0, label)
+                blocked = tree.blockSignals(True)
+                tree.addTopLevelItem(it)
+                tree.blockSignals(blocked)
+            # Both destination lists are exactly as tall as their rows; the
+            # stretch in between belongs to RECENTS.
+            for tree in (self.nav, self.nav_bottom):
+                n = tree.topLevelItemCount()
+                row_h = tree.sizeHintForRow(0) if n else 0
+                tree.setFixedHeight(n * row_h + 8)
+            if keep:
+                self._select_nav_row(*keep)
+        finally:
+            self._nav_building = False
+
+    def _current_nav_key(self):
+        """(page, sub) of the highlighted row, or None."""
+        for tree in (self.nav, self.nav_bottom):
+            it = tree.currentItem()
+            if it is not None and it.isSelected():
+                data = it.data(0, Qt.UserRole) or {}
+                if "page" in data:
+                    return data["page"], data.get("sub")
+        return None
+
+    def _select_nav_row(self, page: int, sub) -> None:
+        """Highlight the row for (page, sub) without triggering navigation.
+
+        Called both when the user clicks (to keep the two lists mutually
+        exclusive) and from _goto, so programmatic navigation moves the
+        highlight too — it used to stay behind on whatever was clicked last.
+        """
+        for tree in (self.nav, self.nav_bottom):
+            blocked = tree.blockSignals(True)
+            match = None
+            for i in range(tree.topLevelItemCount()):
+                it = tree.topLevelItem(i)
+                data = it.data(0, Qt.UserRole) or {}
+                if data.get("page") == page and (
+                        data.get("sub") == sub or data.get("sub") is None):
+                    match = it
+                    break
+            if match is not None:
+                tree.setCurrentItem(match)
+            else:
+                tree.setCurrentItem(None)
+                tree.clearSelection()
+            tree.blockSignals(blocked)
+
+    def _on_nav_current(self, tree: QTreeWidget, item) -> None:
+        """A row was picked: clear the other list so only one row looks active."""
+        if item is None or self._nav_building:
+            return
+        data = item.data(0, Qt.UserRole) or {}
+        other = self.nav_bottom if tree is self.nav else self.nav
+        blocked = other.blockSignals(True)
+        other.setCurrentItem(None)
+        other.clearSelection()
+        other.blockSignals(blocked)
+        self._goto(data.get("page", 0), data.get("sub"))
+
+    # ---- rail header: project picker + new chat ------------------------
+    def _sync_rail_project(self, *_a) -> None:
+        """Mirror the workspace's project list/selection into the rail picker.
+
+        One-way on purpose: the project list stays the source of truth, this is
+        only a second place to see and change it.
+        """
+        if self._syncing_rail_project:
+            return
+        self._syncing_rail_project = True
+        try:
+            choices = self.workspace.project_choices()
+            current = self.workspace.selected_project_id()
+            self.nav_project.clear()
+            for name, pid in choices:
+                self.nav_project.addItem(f"📁 {name}", pid)
+            if not choices:
+                # No project yet: say so, and say what to do about it, instead of
+                # leaving an empty box and a button that silently does nothing.
+                self.nav_project.addItem(tr("app.nav.no_project"), "")
+            idx = self.nav_project.findData(current)
+            if idx >= 0:
+                self.nav_project.setCurrentIndex(idx)
+            has = bool(choices)
+            tidy_popup(self.nav_project)
+            self.nav_project.setEnabled(has)
+            self.nav_project_btn.setEnabled(has)
+            self.nav_project_btn.setToolTip(
+                self.nav_project.currentText().replace("📁 ", "")
+                if has else tr("app.nav.create_project_first"))
+            self.nav_new_chat.setEnabled(has)
+            self.nav_new_chat.setToolTip(
+                "" if has else tr("app.nav.create_project_first"))
+        finally:
+            self._syncing_rail_project = False
+
+    def _fill_rail_project_menu(self) -> None:
+        """Mirror the picker's items. Choosing one moves the picker, which runs
+        _on_rail_project_pick — the collapsed rail adds no second code path."""
+        menu = self.nav_project_btn.menu()
+        menu.clear()
+        for i in range(self.nav_project.count()):
+            act = menu.addAction(self.nav_project.itemText(i))
+            act.setCheckable(True)
+            act.setChecked(i == self.nav_project.currentIndex())
+            act.triggered.connect(
+                lambda _checked=False, row=i: self.nav_project.setCurrentIndex(row))
+
+    def _on_rail_project_pick(self, _idx: int) -> None:
+        if self._syncing_rail_project:
+            return
+        pid = self.nav_project.currentData()
+        if pid:
+            self.workspace.choose_project(pid)
+
+    # ---- rail RECENTS --------------------------------------------------
+    _RAIL_RECENTS = 5
+
+    def _refresh_rail_recents(self) -> None:
+        """Re-fill the rail's recents from the active project's history."""
+        from .ui.icons import DOT_BLUE, dot_icon
+        from .ui.icons import icon as _icon
+
+        tree = self.nav_recents
+        blocked = tree.blockSignals(True)
+        tree.clear()
+        running = self._running_session_ids()
+        threads = self.workspace.recent_threads(self._RAIL_RECENTS)
+        for t in threads:
+            it = QTreeWidgetItem([t["title"]])
+            it.setToolTip(0, t["title"])
+            if t["session_id"] in running:
+                it.setIcon(0, dot_icon(DOT_BLUE))       # same marker as History
+            elif t["pinned"]:
+                it.setIcon(0, _icon("pin"))
+            it.setData(0, Qt.UserRole, {"path": t["path"], "kind": t["kind"]})
+            tree.addTopLevelItem(it)
+        if not threads:
+            it = QTreeWidgetItem([tr("sidebar.empty")])
+            it.setDisabled(True)
+            tree.addTopLevelItem(it)
+        # The way back to everything the rail cannot show — styled as a link
+        # (italic, accent-colored) so it reads as "go elsewhere", not another row.
+        more = QTreeWidgetItem([tr("app.nav.all_projects")])
+        more.setData(0, Qt.UserRole, {"all": True})
+        more_font = more.font(0)
+        more_font.setItalic(True)
+        more.setFont(0, more_font)
+        more.setForeground(0, QColor(current_palette().accent))
+        tree.addTopLevelItem(more)
+        tree.blockSignals(blocked)
+        self.nav_recents_hdr.setVisible(not self._nav_collapsed)
+        self.nav_recents.setVisible(not self._nav_collapsed)
+
+    def _on_rail_recent(self, item, _col: int = 0) -> None:
+        data = item.data(0, Qt.UserRole) or {}
+        if data.get("all"):
+            self._goto(self._ROW_WORKSPACE, self.workspace._cowork_tab_idx)
+            self.workspace.show_history_pane()
+            return
+        path = data.get("path")
+        if path:
+            self._goto(self._ROW_WORKSPACE, self.workspace._cowork_tab_idx)
+            self.workspace.open_thread(path, data.get("kind", "cowork"))
+
+    def _on_rail_new_chat(self) -> None:
+        """Start a new chat, from any screen.
+
+        Same call the Cowork toolbar button makes — that button stays exactly
+        where it was; this is a second entry point, not a replacement.
+        """
+        self._goto(self._ROW_WORKSPACE, None)
+        self.workspace.start_new_chat()
+        self._select_nav_row(self._ROW_WORKSPACE, self.workspace.current_subtab())
+
     def _apply_nav_labels(self) -> None:
-        """Set each top-level nav item's text for the current language AND
-        collapse state: collapsed shows icon-only (label → tooltip) and folds
-        the accordion so only the top-level icons show."""
-        for page, item in enumerate(self._nav_items):
-            key = self._nav_defs[page][0]
-            label = tr(key)
-            item.setText(0, "" if self._nav_collapsed else label)
-            item.setToolTip(0, label if self._nav_collapsed else "")
-            if self._nav_collapsed:
-                item.setExpanded(False)
-        # Refresh child labels (language-aware, from each container's tabText).
+        """Re-label every row for the current language and collapse state
+        (collapsed = icon only, label moves to the tooltip)."""
+        # force: collapsing leaves the row spec identical, only the text changes.
+        self._rebuild_nav(force=True)
+        self._nav_settings_text.setText(tr("app.settings"))
+        self._nav_settings_text.setVisible(not self._nav_collapsed)
+        self._nav_settings_btn.setToolTip(tr("app.settings"))
+        # Collapsed to 54px there is no room for either control's label; the
+        # picker would be a stub of a name, so it steps aside entirely and the
+        # button keeps just its ＋ icon.
+        self.nav_project.setVisible(not self._nav_collapsed)
+        self.nav_project_btn.setVisible(self._nav_collapsed)
+        self._refresh_rail_recents()
+        # Collapsed to 54px only the theme toggle still fits; the rest of the
+        # account row would be clipped, so it steps aside (Settings, which opens
+        # the same values in a dialog, stays reachable as an icon).
+        self.account_lbl.setVisible(not self._nav_collapsed)
+        self.language_combo.setVisible(not self._nav_collapsed)
+        self.provider_combo.setVisible(not self._nav_collapsed)
+        self.nav_new_chat.setText("" if self._nav_collapsed else tr("cowork.new_chat"))
+        if self._nav_new_chat_enabled():
+            self.nav_new_chat.setToolTip(
+                tr("cowork.new_chat") if self._nav_collapsed else "")
+        self._sync_rail_project()
+
+    def _nav_new_chat_enabled(self) -> bool:
+        return bool(self.workspace.project_choices())
+
+    def _nav_max_width(self) -> int:
+        """The rail's ceiling for THIS window, as a share of it."""
+        return max(_NAV_MIN_WIDTH,
+                   min(_NAV_MAX_CEILING, int(self.width() * _NAV_MAX_SHARE)))
+
+    def _set_nav_width_range(self, lo: int, hi: int) -> None:
+        """setFixedWidth would leave the splitter handle inert — visible, and
+        doing nothing when dragged."""
+        self._nav_wrap.setMinimumWidth(lo)
+        self._nav_wrap.setMaximumWidth(hi)
+
+    def _on_split_moved(self, _pos: int, _index: int) -> None:
         if not self._nav_collapsed:
-            for page in self._nav_parents:
-                if self._built[page]:
-                    self._reload_nav_children(page)
+            self._nav_width = max(_NAV_MIN_WIDTH,
+                                  min(self._nav_max_width(), self._nav_wrap.width()))
 
     def _toggle_nav(self) -> None:
+        if not self._nav_collapsed:
+            self._nav_width = max(_NAV_MIN_WIDTH,
+                                  min(self._nav_max_width(), self._nav_wrap.width()))
         self._nav_collapsed = not self._nav_collapsed
-        width = _NAV_COLLAPSED_WIDTH if self._nav_collapsed else _NAV_EXPANDED_WIDTH
-        self._nav_wrap.setFixedWidth(width)
+        if self._nav_collapsed:
+            width = _NAV_COLLAPSED_WIDTH
+            self._set_nav_width_range(width, width)
+        else:
+            width = self._nav_width
+            self._set_nav_width_range(_NAV_MIN_WIDTH, self._nav_max_width())
         self._apply_nav_labels()
         # Same chevron convention as every other collapsible panel: right-
         # pointing (fill-right) means "click to expand", left means "collapse".
@@ -444,6 +873,7 @@ class MainWindow(QMainWindow):
             current = self.cowork.session_id
             self.sidebar.set_view_state(current, self._running_session_ids())
             self.sidebar.refresh()
+            self._refresh_rail_recents()   # the rail shortcut follows the panel
 
         QTimer.singleShot(0, _do)
 
@@ -531,9 +961,8 @@ class MainWindow(QMainWindow):
     def _build_topbar(self) -> QWidget:
         bar = QWidget()
         bar.setObjectName("topbar")
-        # Transparent: the logo/provider/language text sits directly on the
-        # window background, no separate card box behind it.
-        bar.setStyleSheet("#topbar { background: transparent; border: none; }")
+        # Styled centrally (see theme._TEMPLATE): flat, with a single hairline
+        # separating it from the content below — no card box behind it.
         h = QHBoxLayout(bar)
         h.setContentsMargins(16, 10, 12, 10)
         h.setSpacing(10)
@@ -548,22 +977,32 @@ class MainWindow(QMainWindow):
             self.logo_img.setVisible(False)
         h.addWidget(self.logo_img)
         self.logo_lbl = QLabel(tr("app.logo"))
-        self.logo_lbl.setStyleSheet(f"font-weight:800; font-size:16px; color:{ACCENT};")
+        self.logo_lbl.setObjectName("brand")   # styled centrally — see theme._TEMPLATE
         h.addWidget(self.logo_lbl)
         h.addStretch(1)
+        # Provider / language / theme / Settings used to live here, five controls
+        # wide across the top of every screen. They are per-account settings, not
+        # per-screen ones, so they moved to the account row at the foot of the
+        # rail (_build_account_row) — same widgets, same handlers, new home.
+        return bar
 
-        self.provider_lbl = QLabel(tr("app.provider"))
-        self.provider_lbl.setObjectName("hint")
-        h.addWidget(self.provider_lbl)
-        self.provider_combo = QComboBox()
-        for key, label in PROVIDER_LABELS.items():
-            self.provider_combo.addItem(label, key)
-        idx = self.provider_combo.findData(self.ctx.config.active_provider)
-        if idx >= 0:
-            self.provider_combo.setCurrentIndex(idx)
-        self.provider_combo.currentIndexChanged.connect(self._on_provider_changed)
-        h.addWidget(self.provider_combo)
+    def _build_account_row(self) -> QWidget:
+        """The rail's foot: who you are, and the settings that follow you.
 
+        Nothing new is introduced here — these are the exact widgets the top bar
+        used to hold, moved as-is so every existing signal still lands.
+        """
+        box = QWidget()
+        box.setObjectName("navAccount")
+        v = QVBoxLayout(box)
+        v.setContentsMargins(6, 4, 6, 4)
+        v.setSpacing(4)
+
+        who = QHBoxLayout()
+        who.setSpacing(4)
+        self.account_lbl = QLabel(f"👤 {self._user_name}" if self._user_name else "👤")
+        self.account_lbl.setObjectName("hint")
+        who.addWidget(self.account_lbl, 1)
         self.language_combo = QComboBox()
         for key in LANGUAGES:
             self.language_combo.addItem(LANGUAGE_SHORT.get(key, key.upper()), key)
@@ -572,22 +1011,28 @@ class MainWindow(QMainWindow):
         idx = self.language_combo.findData(get_language())
         if idx >= 0:
             self.language_combo.setCurrentIndex(idx)
+        tidy_popup(self.language_combo)
         self.language_combo.currentIndexChanged.connect(self._on_language_changed)
-        h.addWidget(self.language_combo)
-
+        who.addWidget(self.language_combo)
         self.theme_btn = self._build_theme_button()
-        h.addWidget(self.theme_btn)
+        who.addWidget(self.theme_btn)
+        v.addLayout(who)
 
-        if self._user_name:
-            user_lbl = QLabel(f"👤 {self._user_name}")
-            user_lbl.setObjectName("hint")
-            h.addWidget(user_lbl)
-        self.settings_btn = QPushButton(tr("app.settings"))
-        from .ui.icons import icon as _icon
-        self.settings_btn.setIcon(_icon("settings"))
-        self.settings_btn.clicked.connect(self._open_settings)
-        h.addWidget(self.settings_btn)
-        return bar
+        self.provider_lbl = QLabel(tr("app.provider"))
+        self.provider_lbl.setObjectName("hint")
+        self.provider_lbl.setVisible(False)   # the combo names itself in the rail
+        self.provider_combo = QComboBox()
+        self.provider_combo.setToolTip(tr("app.provider"))
+        for key, label in PROVIDER_LABELS.items():
+            self.provider_combo.addItem(label, key)
+        tidy_popup(self.provider_combo)
+        idx = self.provider_combo.findData(self.ctx.config.active_provider)
+        if idx >= 0:
+            self.provider_combo.setCurrentIndex(idx)
+        self.provider_combo.currentIndexChanged.connect(self._on_provider_changed)
+        v.addWidget(self.provider_lbl)
+        v.addWidget(self.provider_combo)
+        return box
 
     _BRAND_LOGO_NAMES = ("fpt_logo.png", "fpt-logo.png", "logo_fpt.png", "fpt_logo.jpg")
     _BRAND_LOGO_HEIGHT = 22
@@ -661,6 +1106,11 @@ class MainWindow(QMainWindow):
         dlg = SettingsDialog(self.ctx, self)
         if dlg.exec():
             self._apply_theme()
+            # Settings can change the theme too — keep the rail's toggle icon
+            # showing the value that is actually in effect.
+            from .ui.icons import icon as _theme_icon
+            self.theme_btn.setIcon(
+                _theme_icon(self._THEME_ICONS.get(self.ctx.config.theme, "monitor")))
             set_language(self.ctx.config.language)   # apply if changed in Settings
             # reflect provider/theme/language changes
             i = self.provider_combo.findData(self.ctx.config.active_provider)
@@ -679,46 +1129,6 @@ class MainWindow(QMainWindow):
             self.sidebar.refresh()
             self.statusBar().showMessage(tr("app.status.settings_saved"))
 
-    def _reload_nav_children(self, page: int) -> None:
-        """(Re)build the nav children of a container page from its current
-        sub-views. Called when the page is built, when Workspace sub-tab
-        visibility changes, and on language change."""
-        if not (0 <= page < len(self._nav_items)):
-            return
-        item = self._nav_items[page]
-        expanded = item.isExpanded()
-        item.takeChildren()
-        widget = self._page_widgets[page]
-        if not hasattr(widget, "nav_subtabs"):
-            return
-        from .ui.icons import icon as _icon
-        for label, sub, icon_name in widget.nav_subtabs():
-            child = QTreeWidgetItem([label])
-            child.setIcon(0, _icon(icon_name))
-            child.setData(0, Qt.UserRole, {"page": page, "sub": sub, "parent": False})
-            item.addChild(child)
-        item.setExpanded(True)
-
-    def _on_nav_click(self, item, _col: int = 0) -> None:
-        # Clicking a parent toggles its expansion (its page is still shown).
-        data = item.data(0, Qt.UserRole) or {}
-        if data.get("parent"):
-            item.setExpanded(not item.isExpanded())
-
-    def _on_nav_expanded(self, item) -> None:
-        # Expanding a container whose children aren't built yet (e.g. Monitoring
-        # on first open, shown via its always-on dropdown arrow) builds its page
-        # so the sub-views appear.
-        data = item.data(0, Qt.UserRole) or {}
-        if data.get("parent") and item.childCount() == 0:
-            self._ensure_page(data.get("page", 0))
-
-    def _navigate(self, item) -> None:
-        if item is None:
-            return
-        data = item.data(0, Qt.UserRole) or {}
-        self._goto(data.get("page", 0), data.get("sub"))
-
     def _goto(self, page: int, sub) -> None:
         self._ensure_page(page)                # build lazy page on first visit
         self.pages.setCurrentIndex(page)
@@ -726,10 +1136,52 @@ class MainWindow(QMainWindow):
             self.workspace.refresh()           # re-list projects + threads on entry
         widget = self._page_widgets[page]
         if sub is not None and hasattr(widget, "select_subtab"):
-            widget.select_subtab(sub)
+            # Enforce the project gate here rather than at each entry point. A
+            # greyed rail row cannot be clicked, but _goto is also reached from
+            # RECENTS and from startup restore, and it used to open a sub-tab
+            # the gate was holding shut — page shown, tab strip still hiding it.
+            if hasattr(widget, "subtab_available") and not widget.subtab_available(sub):
+                self.statusBar().showMessage(tr("app.nav.needs_project"), 4000)
+            else:
+                widget.select_subtab(sub)
+        # Move the highlight with the content, however navigation was triggered —
+        # a programmatic _goto used to leave it on whatever was clicked last.
+        if not self._nav_building:
+            self._select_nav_row(page, sub)
+        self._update_dock_guard()
         # Switching pages updates which conversation is "current".
         self._refresh_history()
 
+    def _update_dock_guard(self) -> None:
+        """Keep the floating assistant clear of a screen's own bottom bar.
+
+        Only Cowork has one (the composer). Everywhere else the dock sits in
+        the corner as before.
+        """
+        dock = getattr(self, "help_agent", None)
+        if dock is None:
+            return
+        guard = 0
+        on_cowork = (self.pages.currentIndex() == self._ROW_WORKSPACE
+                     and self.workspace.current_subtab() == self.workspace._cowork_tab_idx)
+        if on_cowork:
+            comp = getattr(self.cowork, "composer", None)
+            if comp is not None and not comp.isHidden():
+                # Measured from the composer's TOP edge in window coordinates:
+                # its own height misses the extra row of controls laid out under
+                # it, which left the dot still overlapping by ~25px.
+                origin = comp.mapTo(self, comp.rect().topLeft())
+                # ...but only lift the dot if the composer is actually beneath
+                # it. The composer stops at the chat column's right edge, well
+                # short of the dot, so lifting it there raised the dot 156px for
+                # nothing — on Cowork alone it sat off the corner every other
+                # screen keeps it in.
+                dock_left = dock.x() - self.mapToGlobal(self.rect().topLeft()).x()
+                dock_right = dock_left + dock.width()
+                if dock_right > origin.x() and dock_left < origin.x() + comp.width():
+                    guard = max(0, self.height() - origin.y() + 8)
+        dock.set_bottom_guard(guard)
+
     def _on_projects_changed(self) -> None:
         self.sidebar.refresh()                 # History regroups by project
         self.cowork._apply_output_folder_label()  # project may have been renamed
@@ -738,6 +1190,7 @@ class MainWindow(QMainWindow):
     def _apply_theme(self) -> None:
         app = QApplication.instance()
         if app:
+            set_active_theme(self.ctx.config.theme)
             app.setStyleSheet(stylesheet(self.ctx.config.theme))
         # Re-apply theme styles to chat bubbles so they adapt to the new theme.
         self.cowork.apply_theme()
@@ -745,6 +1198,11 @@ class MainWindow(QMainWindow):
             self.help_agent.apply_theme()   # chat body follows theme (header stays fixed)
 
     # ---- sizing ------------------------------------------------------
+    # Share of the available screen the window takes when it has room to. Fixed
+    # pixels do not travel: 1180×760 fills a laptop and looks lost on a 4K
+    # panel. `want_*` stays the floor so a small screen behaves as before.
+    _SCREEN_SHARE_W, _SCREEN_SHARE_H = 0.80, 0.85
+
     def _fit_to_screen(self, want_w: int, want_h: int) -> None:
         screen = self.screen() or QGuiApplication.primaryScreen()
         avail = screen.availableGeometry() if screen else None
@@ -752,8 +1210,12 @@ class MainWindow(QMainWindow):
             self.resize(want_w, want_h)
             return
         margin = 60
-        w = min(want_w, avail.width() - margin)
-        h = min(want_h, avail.height() - margin)
+        # Take a share of the screen, never less than the asked-for size and
+        # never more than the screen can show.
+        w = min(max(want_w, int(avail.width() * self._SCREEN_SHARE_W)),
+                avail.width() - margin)
+        h = min(max(want_h, int(avail.height() * self._SCREEN_SHARE_H)),
+                avail.height() - margin)
         # minimum must never exceed what the screen can show
         self.setMinimumSize(min(820, avail.width() - margin), min(520, avail.height() - margin))
         self.resize(max(w, 1), max(h, 1))
@@ -761,6 +1223,25 @@ class MainWindow(QMainWindow):
         frame.moveCenter(avail.center())
         self.move(frame.topLeft())
 
+    def moveEvent(self, event):  # noqa: N802 - Qt override
+        super().moveEvent(event)
+        # Dragged to another monitor: its work area (and scaling) may differ, so
+        # the floating assistant re-pins and the panes re-decide if they fit.
+        self._on_screen_maybe_changed()
+
+    def _on_screen_maybe_changed(self) -> None:
+        screen = self.screen()
+        if screen is getattr(self, "_last_screen", None):
+            return
+        self._last_screen = screen
+        avail = screen.availableGeometry() if screen else None
+        if avail is not None:
+            self.setMinimumSize(min(820, avail.width() - 60),
+                                min(520, avail.height() - 60))
+        if getattr(self, "help_agent", None) is not None:
+            self._update_dock_guard()
+            self.help_agent.reposition()
+
     # ---- lifecycle ---------------------------------------------------
     def closeEvent(self, event) -> None:  # noqa: N802
         keep = (self.tray is not None
@@ -843,6 +1324,7 @@ def run(argv: List[str] | None = None) -> int:
             ctx.config.save()
     except Exception:  # noqa: BLE001 - seeding must never block startup
         pass
+    set_active_theme(ctx.config.theme)
     app.setStyleSheet(stylesheet(ctx.config.theme))
 
     # Follow the OS light/dark scheme live when theme is "Auto (System)".
@@ -858,6 +1340,7 @@ def run(argv: List[str] | None = None) -> int:
 
     def _reapply_system_theme(*_a):
         if ctx.config.theme == "system":
+            set_active_theme("system")
             app.setStyleSheet(stylesheet("system"))
             win.cowork.apply_theme()
     try:
diff --git a/config.py b/config.py
index a5af93c..7b29aac 100644
--- a/config.py
+++ b/config.py
@@ -105,8 +105,7 @@ DEFAULT_CONFIG: Dict[str, Any] = {
         # sandboxes agent-run shell commands) — reading a URL for info is safe and
         # useful, so this defaults ON. Toggle in Settings → Security.
         "allow_url_fetch": True,
-        # Set with COWORK_SANDBOX_PASSWORD. Never ship a shared unlock secret.
-        "sandbox_pw": "",
+        "sandbox_pw": "quandh14",          # default password to unlock sandbox settings
         "rulebase_path": "",               # custom RULEBASE.md — attached to every agent execution
     },
     # Legacy generic-MCP-server list. MERGED into ext_connectors["other"] as of
@@ -174,8 +173,7 @@ DEFAULT_CONFIG: Dict[str, Any] = {
     # Microsoft. Real Outlook/Teams/OneDrive/SharePoint access still requires a
     # proper OAuth sign-in (not implemented yet) using tenant_id/client_id below.
     "ms365": {
-        # Set with COWORK_MS365_UNLOCK_CODE. Never ship a shared unlock secret.
-        "unlock_code": "",
+        "unlock_code": "quandh14",
         "unlocked": False,           # runtime-only — never persisted as True, see save()
         # Auto-connect MS365/OneDrive/SharePoint: the built-in MS365 MCP server
         # launches automatically once the user is signed in (OAuth tenant/client
@@ -296,10 +294,6 @@ def _apply_env_overrides(data: Dict[str, Any]) -> Dict[str, Any]:
         data["active_provider"] = os.environ["COWORK_ACTIVE_PROVIDER"]
     if os.getenv("COWORK_CA_BUNDLE"):
         data["tls_ca_bundle"] = os.environ["COWORK_CA_BUNDLE"]
-    if os.getenv("COWORK_SANDBOX_PASSWORD"):
-        data["agent_security"]["sandbox_pw"] = os.environ["COWORK_SANDBOX_PASSWORD"]
-    if os.getenv("COWORK_MS365_UNLOCK_CODE"):
-        data["ms365"]["unlock_code"] = os.environ["COWORK_MS365_UNLOCK_CODE"]
     return data
 
 
diff --git a/docs/Cowork-Local BamBOO.pptx b/docs/Cowork-Local BamBOO.pptx
new file mode 100644
index 0000000000000000000000000000000000000000..eaee484921410919a6b8ce644f04cf3a37ef5916
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new file mode 100644
index 0000000..08e9ec4
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+
+  /* top bar */
+  header.top{position:sticky;top:0;z-index:20;background:color-mix(in srgb,var(--surface) 88%,transparent);
+    backdrop-filter:saturate(1.4) blur(10px);border-bottom:1px solid var(--border)}
+  .top .wrap{display:flex;align-items:center;gap:18px;height:58px}
+  .brand{font-family:var(--font-mono);font-weight:600;font-size:14px;letter-spacing:.02em;
+    color:var(--ink);display:flex;align-items:center;gap:9px;white-space:nowrap}
+  .brand .dot{width:10px;height:10px;border-radius:2px;background:var(--accent);
+    box-shadow:0 0 0 3px var(--accent-soft)}
+  nav.doc{display:flex;gap:4px;margin-left:auto;flex-wrap:wrap}
+  nav.doc a{font-size:13.5px;color:var(--ink-2);text-decoration:none;padding:7px 12px;border-radius:8px;
+    font-weight:550;white-space:nowrap}
+  nav.doc a:hover{background:var(--surface-2);color:var(--ink)}
+  nav.doc a[aria-current="page"]{background:var(--accent-soft);color:var(--accent-ink)}
+  .toggle{border:1px solid var(--border);background:var(--surface);color:var(--ink-2);
+    width:36px;height:34px;border-radius:9px;cursor:pointer;font-size:15px;display:grid;place-items:center}
+  .toggle:hover{color:var(--ink);border-color:var(--accent)}
+  .toggle:focus-visible,nav.doc a:focus-visible,a:focus-visible{outline:2px solid var(--accent);outline-offset:2px}
+
+  /* hero */
+  .hero{padding:64px 0 34px}
+  .eyebrow{font-family:var(--font-mono);font-size:12px;letter-spacing:.18em;text-transform:uppercase;
+    color:var(--accent-ink);font-weight:600;margin:0 0 14px}
+  h1{font-family:var(--font-display);font-weight:700;font-size:clamp(2.1rem,5vw,3.1rem);line-height:1.06;
+    letter-spacing:-.02em;margin:0 0 18px;text-wrap:balance}
+  .lead{font-size:1.16rem;color:var(--ink-2);max-width:64ch;margin:0}
+  .meta{display:flex;gap:10px;flex-wrap:wrap;margin-top:26px}
+  .tag{font-family:var(--font-mono);font-size:12px;padding:5px 11px;border-radius:999px;
+    background:var(--surface-2);border:1px solid var(--border);color:var(--ink-2)}
+
+  section{padding:34px 0;border-top:1px solid var(--border)}
+  h2{font-family:var(--font-display);font-weight:650;font-size:1.6rem;letter-spacing:-.01em;margin:0 0 6px;
+    display:flex;align-items:baseline;gap:12px;text-wrap:balance}
+  h2 .num{font-family:var(--font-mono);font-size:.85rem;color:var(--accent-ink);font-weight:600}
+  h3{font-family:var(--font-display);font-weight:600;font-size:1.13rem;margin:26px 0 8px;letter-spacing:-.01em}
+  p{margin:.6em 0}
+  .sub{color:var(--ink-2);margin:2px 0 20px;max-width:66ch}
+  a{color:var(--accent-ink);text-underline-offset:3px}
+  strong{font-weight:650;color:var(--ink)}
+  code,.k{font-family:var(--font-mono);font-size:.86em;background:var(--mono-bg);
+    padding:2px 6px;border-radius:6px;border:1px solid var(--border);color:var(--ink)}
+
+  /* layer stack diagram */
+  .stack{display:flex;flex-direction:column;gap:0;margin:24px 0}
+  .layer{background:var(--surface);border:1px solid var(--border);border-radius:14px;padding:16px 18px;
+    box-shadow:var(--shadow);position:relative}
+  .layer + .layer{margin-top:26px}
+  .layer + .layer::before{content:"";position:absolute;top:-20px;left:50%;width:2px;height:14px;
+    background:var(--border);transform:translateX(-50%)}
+  .layer + .layer::after{content:"▾";position:absolute;top:-14px;left:50%;transform:translateX(-50%);
+    color:var(--ink-3);font-size:13px}
+  .layer .lh{display:flex;align-items:center;gap:10px;margin-bottom:12px}
+  .layer .lh .tier{font-family:var(--font-mono);font-size:11px;letter-spacing:.12em;text-transform:uppercase;
+    color:#fff;background:var(--accent);padding:3px 8px;border-radius:6px;font-weight:600}
+  .layer .lh h4{margin:0;font-family:var(--font-display);font-weight:600;font-size:1.02rem}
+  .layer .lh small{color:var(--ink-3);margin-left:auto;font-size:12.5px}
+  .chips{display:flex;flex-wrap:wrap;gap:8px}
+  .chip{font-family:var(--font-mono);font-size:12.5px;background:var(--surface-2);border:1px solid var(--border);
+    border-radius:8px;padding:6px 10px;color:var(--ink-2)}
+  .chip b{color:var(--ink);font-weight:600}
+
+  /* cards */
+  .grid{display:grid;grid-template-columns:repeat(auto-fill,minmax(250px,1fr));gap:16px;margin-top:8px}
+  .card{background:var(--surface);border:1px solid var(--border);border-radius:14px;padding:18px 18px;
+    box-shadow:var(--shadow)}
+  .card h4{margin:0 0 6px;font-family:var(--font-display);font-size:1.04rem;font-weight:600;
+    display:flex;align-items:center;gap:9px}
+  .card h4 .ic{width:26px;height:26px;border-radius:7px;background:var(--accent-soft);color:var(--accent-ink);
+    display:grid;place-items:center;font-size:14px;flex:none}
+  .card p{margin:0;color:var(--ink-2);font-size:14.5px}
+  .card .files{margin-top:10px;display:flex;flex-wrap:wrap;gap:6px}
+  .card .files code{font-size:11.5px}
+
+  /* flow steps */
+  .flow{display:flex;flex-direction:column;gap:10px;margin:18px 0;counter-reset:fl}
+  .flow li{list-style:none;display:flex;gap:14px;align-items:flex-start;background:var(--surface);
+    border:1px solid var(--border);border-radius:12px;padding:13px 15px}
+  .flow li::before{counter-increment:fl;content:counter(fl);font-family:var(--font-mono);font-weight:600;
+    font-size:13px;color:var(--accent-ink);background:var(--accent-soft);border-radius:8px;
+    width:28px;height:28px;display:grid;place-items:center;flex:none}
+  .flow b{color:var(--ink)}
+  .flow small{color:var(--ink-3);display:block;font-size:13px}
+
+  .note{border:1px solid var(--border);border-left:3px solid var(--accent);background:var(--surface);
+    border-radius:0 12px 12px 0;padding:14px 16px;margin:18px 0;font-size:14.5px;color:var(--ink-2)}
+  .note b{color:var(--ink)}
+
+  footer{border-top:1px solid var(--border);padding:34px 0 60px;color:var(--ink-3);font-size:13.5px}
+  footer .wrap{display:flex;justify-content:space-between;gap:16px;flex-wrap:wrap;align-items:center}
+  footer a{color:var(--ink-2)}
+  @media (max-width:560px){.brand span.full{display:none}.hero{padding:40px 0 24px}}
+</style>
+</head>
+<body>
+<header class="top"><div class="wrap">
+  <span class="brand"><span class="dot"></span>cowork_local<span class="full">&nbsp;· docs</span></span>
+  <nav class="doc" aria-label="Tài liệu">
+    <a href="architecture.html" aria-current="page">Cấu trúc</a>
+    <a href="security.html">Bảo mật</a>
+    <a href="usage.html">Cách dùng</a>
+  </nav>
+  <button class="toggle" id="themeBtn" title="Đổi giao diện sáng/tối" aria-label="Đổi giao diện">◐</button>
+</div></header>
+
+<main>
+<div class="wrap hero">
+  <p class="eyebrow">Cowork Local · Tài liệu kỹ thuật</p>
+  <h1>Cấu trúc hệ thống</h1>
+  <p class="lead">Trợ lý AI dạng agent chạy <strong>cục bộ trên máy</strong> (desktop, ưu tiên Windows). Người dùng trò chuyện, chạy luồng nhiều bước, thao tác tệp và lên lịch tác vụ — mọi thứ được bọc trong một khung bảo mật nhiều lớp.</p>
+  <div class="meta">
+    <span class="tag">PySide6 / Qt6</span>
+    <span class="tag">Local-first</span>
+    <span class="tag">Provider-agnostic</span>
+    <span class="tag">~53K dòng Python</span>
+    <span class="tag">Windows · macOS · Linux</span>
+  </div>
+</div>
+
+<section class="wrap">
+  <h2><span class="num">01</span> Tổng quan &amp; nguyên tắc</h2>
+  <p class="sub">Bốn nguyên tắc định hình toàn bộ kiến trúc.</p>
+  <div class="grid">
+    <div class="card"><h4><span class="ic">▤</span>Local-first</h4><p>Cấu hình, lịch sử hội thoại, workspace và nhật ký đều nằm trên máy người dùng. Chỉ lệnh gọi mô hình mới ra ngoài.</p></div>
+    <div class="card"><h4><span class="ic">⛨</span>Bảo mật nhiều lớp</h4><p>Mọi tool có tác động (chạy lệnh, ghi tệp, tải URL) đi qua chuỗi kiểm soát fail-closed; xem tài liệu <a href="security.html">Bảo mật</a>.</p></div>
+    <div class="card"><h4><span class="ic">⧉</span>Đa workspace</h4><p>Nhiều project chạy song song, mỗi project nhiều hội thoại Cowork và nhiều luồng Co4E — không cái nào chặn cái nào.</p></div>
+    <div class="card"><h4><span class="ic">⇄</span>Provider-agnostic</h4><p>Nhiều nhà cung cấp mô hình (OpenAI-compatible…), tự động định tuyến chọn mô hình phù hợp trong số các model được bật.</p></div>
+  </div>
+</section>
+
+<section class="wrap">
+  <h2><span class="num">02</span> Ngăn xếp công nghệ</h2>
+  <p class="sub">Những thư viện/thành phần chủ chốt và vai trò của chúng.</p>
+  <div class="chips">
+    <span class="chip"><b>PySide6/Qt6</b> · toàn bộ giao diện, đa luồng QThread</span>
+    <span class="chip"><b>FastAPI + uvicorn</b> · Routing API (chỉ localhost)</span>
+    <span class="chip"><b>MCP</b> · kết nối công cụ ngoài (Model Context Protocol)</span>
+    <span class="chip"><b>MSAL</b> · đăng nhập Microsoft 365</span>
+    <span class="chip"><b>openpyxl / python-pptx</b> · đọc Office</span>
+    <span class="chip"><b>opendataloader-pdf</b> · trích xuất PDF</span>
+    <span class="chip"><b>networkx</b> · đồ thị cấu trúc (GraphRAG)</span>
+    <span class="chip"><b>keyring</b> · lưu bí mật qua OS</span>
+    <span class="chip"><b>ctypes / Win32</b> · sandbox AppContainer &amp; Job Object</span>
+    <span class="chip"><b>Pygments</b> · tô màu mã nguồn</span>
+  </div>
+</section>
+
+<section class="wrap">
+  <h2><span class="num">03</span> Kiến trúc phân lớp</h2>
+  <p class="sub">Một yêu cầu đi từ giao diện xuống lớp thực thi rồi ra ngoài — mỗi lớp có trách nhiệm rõ ràng.</p>
+  <div class="stack">
+    <div class="layer">
+      <div class="lh"><span class="tier">UI</span><h4>Lớp giao diện — PySide6</h4><small>người dùng thao tác</small></div>
+      <div class="chips">
+        <span class="chip">MainWindow</span><span class="chip">WorkspaceTab / WorkspacePane</span>
+        <span class="chip">CoworkTab (chat)</span><span class="chip">Co4ETab (flow canvas)</span>
+        <span class="chip">FolderTab</span><span class="chip">ScheduleTaskTab</span>
+        <span class="chip">MonitoringTab → Security</span><span class="chip">SettingsDialog</span>
+      </div>
+    </div>
+    <div class="layer">
+      <div class="lh"><span class="tier">Agent</span><h4>Lớp agent / lõi thực thi</h4><small>điều phối lượt chạy</small></div>
+      <div class="chips">
+        <span class="chip"><b>chat_agent</b> · run_cowork</span>
+        <span class="chip"><b>code_agent</b> · run_code</span>
+        <span class="chip"><b>co4e_runner</b> · run_workflow</span>
+        <span class="chip"><b>task_executors</b> · tác vụ theo lịch</span>
+        <span class="chip"><b>model_routing</b> · assess &amp; chọn model</span>
+        <span class="chip"><b>agent_security</b> · guardrail</span>
+      </div>
+    </div>
+    <div class="layer">
+      <div class="lh"><span class="tier">Tool</span><h4>Lớp công cụ &amp; sandbox</h4><small>ranh giới tin cậy</small></div>
+      <div class="chips">
+        <span class="chip"><b>ToolContext</b> · confine đường dẫn + scope</span>
+        <span class="chip">execute_tool</span>
+        <span class="chip">read/write/edit/list_dir</span>
+        <span class="chip">run_command · install_package</span>
+        <span class="chip">fetch_url · jira</span>
+        <span class="chip"><b>SandboxManager</b> + backends</span>
+      </div>
+    </div>
+    <div class="layer">
+      <div class="lh"><span class="tier">Provider</span><h4>Lớp nhà cung cấp mô hình</h4><small>gọi ra mạng an toàn</small></div>
+      <div class="chips">
+        <span class="chip">providers/* (OpenAI-compatible…)</span>
+        <span class="chip"><b>tls_trust</b> · phục hồi TLS gateway</span>
+        <span class="chip">usage_tracker · đo token/chi phí</span>
+      </div>
+    </div>
+    <div class="layer">
+      <div class="lh"><span class="tier">Ngoài</span><h4>Dịch vụ bên ngoài</h4><small>không tin cậy mặc định</small></div>
+      <div class="chips">
+        <span class="chip">LLM APIs</span><span class="chip">MCP servers</span>
+        <span class="chip">Microsoft 365</span><span class="chip">Jira</span><span class="chip">Web (fetch_url)</span>
+      </div>
+    </div>
+  </div>
+</section>
+
+<section class="wrap">
+  <h2><span class="num">04</span> Các subsystem chính</h2>
+  <p class="sub">Mỗi khối là một tính năng lớn người dùng thấy được, ánh xạ tới module tương ứng.</p>
+  <div class="grid">
+    <div class="card"><h4><span class="ic">▦</span>Workspaces &amp; Projects</h4><p>Nhiều project song song, mỗi cái một pane riêng với sandbox bật/tắt để tiết kiệm tài nguyên.</p><div class="files"><code>workspace_tab.py</code><code>workspace_pane.py</code></div></div>
+    <div class="card"><h4><span class="ic">💬</span>Cowork · đa hội thoại</h4><p>Nhiều hội thoại trong một project; lượt chạy nền giữ đúng hội thoại gốc kể cả khi bạn chuyển tab.</p><div class="files"><code>chat_panel.py</code><code>cowork_tab.py</code></div></div>
+    <div class="card"><h4><span class="ic">◈</span>Co4E flows</h4><p>Canvas nhiều bước, agent tùy biến, chế độ auto/plan/manual, chạy song song &amp; theo dõi ở Flow Status.</p><div class="files"><code>co4e_tab.py</code><code>co4e_runner.py</code></div></div>
+    <div class="card"><h4><span class="ic">⇉</span>Model routing</h4><p>Tự đánh giá &amp; chọn mô hình tốt nhất trong số model được bật theo policy (chất lượng/chi phí/độ trễ).</p><div class="files"><code>core/routing/*</code></div></div>
+    <div class="card"><h4><span class="ic">⛨</span>Sandbox</h4><p>Chọn backend theo mức rủi ro: best-effort → AppContainer → Windows Sandbox VM.</p><div class="files"><code>sandbox_manager.py</code><code>appcontainer_sandbox.py</code></div></div>
+    <div class="card"><h4><span class="ic">⏱</span>Scheduler</h4><p>Tác vụ theo lịch (Cowork/Code/Flow), phụ thuộc chuỗi, opt-in chạy lệnh.</p><div class="files"><code>task_scheduler.py</code><code>task_executors.py</code></div></div>
+    <div class="card"><h4><span class="ic">📊</span>Monitoring</h4><p>Tổng quan chi phí, nhật ký sự kiện/bảo mật, quản trị Tool/Agent, trang Security.</p><div class="files"><code>monitoring_tab.py</code></div></div>
+    <div class="card"><h4><span class="ic">🗄</span>Lưu trữ</h4><p>Cấu hình + lịch sử theo project + workspace + audit log, tất cả trên máy.</p><div class="files"><code>config.py</code><code>core/history.py</code></div></div>
+  </div>
+</section>
+
+<section class="wrap">
+  <h2><span class="num">05</span> Mô hình đồng thời</h2>
+  <p class="sub">Vì sao nhiều lượt chạy song song không giẫm chân nhau.</p>
+  <h3>Cô lập theo lượt (per-turn)</h3>
+  <p>Mỗi lượt chat chạy trong một <code>AgentWorker</code> (QThread) riêng. Tại thời điểm bắt đầu, lượt chụp lại bối cảnh <span class="k">home_*</span> (id hội thoại, thư mục làm việc, project) — nên dù người dùng chuyển sang hội thoại khác, lượt nền vẫn ghi kết quả về <strong>đúng hội thoại gốc</strong> và quét đúng thư mục của nó.</p>
+  <h3>Quản lý luồng Co4E dùng chung</h3>
+  <p>Một <code>Co4ERunManager</code> duy nhất phục vụ mọi pane, mỗi run gắn <span class="k">project_id</span> để lọc. Khi dừng một worker bị treo, nó được "park" giữ tham chiếu (không GC luồng đang chạy → tránh crash <em>QThread destroyed while running</em>).</p>
+  <div class="note"><b>Cách ly dừng (Stop):</b> nút Stop chỉ tác động lên các worker của <em>chính</em> hội thoại đó và xóa hàng đợi của riêng nó — dừng ở hội thoại này không ảnh hưởng hội thoại khác.</div>
+</section>
+
+<section class="wrap">
+  <h2><span class="num">06</span> Luồng dữ liệu một lượt chat</h2>
+  <p class="sub">Từ tin nhắn người dùng đến kết quả — mỗi bước là một điểm kiểm soát.</p>
+  <ol class="flow">
+    <li><div><b>Tin nhắn + đính kèm</b><small>Người dùng gửi; tệp/thư mục workspace được nạp qua <code>_augment</code>.</small></div></li>
+    <li><div><b>Bọc nội dung không tin cậy</b><small>Nội dung tệp/web/tool được rào trong khối <span class="k">UNTRUSTED DATA</span> — model coi là dữ liệu, không phải mệnh lệnh.</small></div></li>
+    <li><div><b>Định tuyến mô hình</b><small>Auto Routing có thể chọn mô hình phù hợp trong số model được bật.</small></div></li>
+    <li><div><b>Gọi provider</b><small><code>provider.chat()</code> qua <code>tls_trust</code>; usage_tracker ghi token/chi phí theo hội thoại gốc.</small></div></li>
+    <li><div><b>Model gọi tool</b><small>Mỗi tool qua: kiểm scope ở executor → human-gate (nếu bật) → classifier → sandbox.</small></div></li>
+    <li><div><b>Kết quả &amp; lưu</b><small>Văn bản/diff hiện realtime; hội thoại lưu vào <code>.cowork_history</code> của project.</small></div></li>
+  </ol>
+</section>
+
+<section class="wrap">
+  <h2><span class="num">07</span> Lưu trữ trên máy</h2>
+  <p class="sub">Dữ liệu nằm ở đâu.</p>
+  <div class="chips">
+    <span class="chip"><b>~/.cowork_local/config.json</b> · cấu hình (perm 0o600)</span>
+    <span class="chip"><b>&lt;project&gt;/.cowork_history</b> · hội thoại theo project</span>
+    <span class="chip"><b>workspaces/</b> · thư mục làm việc mỗi project</span>
+    <span class="chip"><b>audit log</b> · mọi tool-call &amp; quyết định quyền (lưu hash lệnh)</span>
+    <span class="chip"><b>trusted_certs/</b> · cert gateway đã pin</span>
+    <span class="chip"><b>appcontainer_grants.json</b> · cache cấp quyền sandbox</span>
+  </div>
+  <div class="note">Vị trí lịch sử có thể trỏ vào thư mục đồng bộ OneDrive — tiện chia sẻ, nhưng lưu ý dữ liệu tệp đã nạp sẽ được sao lên cloud dạng plaintext. Xem khuyến nghị ở tài liệu <a href="security.html">Bảo mật</a>.</div>
+</section>
+</main>
+
+<footer><div class="wrap">
+  <span>Cowork Local — tài liệu nội bộ · Cấu trúc hệ thống</span>
+  <span><a href="security.html">Bảo mật →</a> &nbsp; <a href="usage.html">Cách dùng →</a></span>
+</div></footer>
+
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+  (function(){
+    var root=document.documentElement, key="cowork_docs_theme";
+    var saved=null; try{saved=localStorage.getItem(key)}catch(e){}
+    if(saved==="dark"||saved==="light") root.setAttribute("data-theme",saved);
+    else root.removeAttribute("data-theme");
+    document.getElementById("themeBtn").addEventListener("click",function(){
+      var cur=root.getAttribute("data-theme");
+      if(!cur){ // currently following OS → flip to opposite of OS
+        cur=window.matchMedia("(prefers-color-scheme: dark)").matches?"dark":"light";
+      }
+      var next=cur==="dark"?"light":"dark";
+      root.setAttribute("data-theme",next);
+      try{localStorage.setItem(key,next)}catch(e){}
+    });
+  })();
+</script>
+</body>
+</html>
diff --git a/docs/function_list.md b/docs/function_list.md
new file mode 100644
index 0000000..a3a7fec
--- /dev/null
+++ b/docs/function_list.md
@@ -0,0 +1,473 @@
+# 📋 COWORK-LOCAL BamBOO — Danh Sách Chức Năng Chi Tiết Theo Navigation Bar
+
+---
+
+## 🔹 1. 📊 DASHBOARD (Bảng Điều Khiển)
+
+### 1.1 Token Usage & Cost — Thống Kê Token & Chi Phí
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 1.1.1 | `_refresh_cards()` | Làm mới các thẻ thống kê (Total, Input, Output, Cache tokens + Cost) |
+| 1.1.2 | `_refresh_chart()` | Vẽ biểu đồ spline theo chu kỳ (week/month/year) và metric (cost/tokens) |
+| 1.1.3 | `_chart_prev()` / `_chart_next()` | Chuyển đến chu kỳ trước/sau trên biểu đồ |
+| 1.1.4 | `_on_gran_changed()` | Thay đổi đơn vị thời gian (week/month/year) |
+| 1.1.5 | `_refresh_budget()` | Cập nhật ngân sách (budget card — còn lại / đã dùng / cảnh báo >85%) |
+| 1.1.6 | `_apply_budget()` | Lưu giá trị budget mới |
+| 1.1.7 | `_refresh_habits()` | Hiển thị thói quen sử dụng (task tốn nhiều token nhất, trung bình/prompt, ngày/giờ bận nhất) |
+| 1.1.8 | `_ai_analyze()` | ✨ AI phân tích thói quen dùng token và gợi ý tiết kiệm |
+| 1.1.9 | `_apply_saving_strategy()` | Áp dụng chiến lược tiết kiệm AI (tự nén context, nén sớm hơn) |
+| 1.1.10 | Currency Picker | Chọn đơn vị tiền tệ hiển thị (USD, VND, JPY, …) |
+
+---
+
+## 🔹 2. 📅 SCHEDULE TASK (Lên Lịch Nhiệm Vụ)
+
+### 2.1 Kanban Board
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 2.1.1 | `_build_kanban()` | Xây dựng board Kanban với 7 cột: Backlog, Scheduled, Running, Waiting Input, Done, Failed, Paused |
+| 2.1.2 | `_render_kanban()` | Render các thẻ task vào từng cột |
+| 2.1.3 | `_on_task_dropped(task_id, new_status)` | Kéo thả task giữa các cột (thay đổi status) |
+| 2.1.4 | `_on_card_double_click()` | Mở Task Editor khi double-click |
+| 2.1.5 | `_on_card_right_click()` | Menu ngữ cảnh: Run now, Edit, Duplicate, Pause, Delete, View logs, Create-next-from-output |
+| 2.1.6 | `_bulk_delete_menu()` | Xóa hàng loạt (chọn nhiều thẻ → right-click → Delete N selected) |
+| 2.1.7 | `_run_now(task_id)` | Chạy task ngay lập tức |
+| 2.1.8 | `_duplicate_task(task_id)` | Sao chép task |
+| 2.1.9 | `_pause_task(task_id)` | Tạm dừng task |
+| 2.1.10 | `_delete_task(task_id)` | Xóa task |
+| 2.1.11 | `_view_logs(task_id)` | Xem log của task |
+| 2.1.12 | `_search_tasks()` | Tìm kiếm task theo tên |
+| 2.1.13 | `_filter_by_type()` | Lọc task theo loại (cowork/co4e/code/…) |
+
+### 2.2 Calendar View
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 2.2.1 | `_build_calendar()` | Xây dựng chế độ xem lịch |
+| 2.2.2 | `_shift(direction)` | Chuyển tháng/tuần trước/sau |
+| 2.2.3 | `add_task_on_date(date)` | Thêm task vào ngày cụ thể |
+| 2.2.4 | `edit_task(task_id)` | Sửa task từ lịch |
+
+### 2.3 Add / AI Create Task
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 2.3.1 | `_open_add_dialog()` | Mở dialog thêm task thủ công |
+| 2.3.2 | `_ai_create_task()` | Mở dialog AI tạo task tự động |
+| 2.3.3 | `_ai_pick_files()` | Chọn file đính kèm cho AI planner |
+| 2.3.4 | `_generate()` | AI tạo kế hoạch tasks từ mô tả |
+| 2.3.5 | `_on_planned(result)` | Hiển thị preview các task AI đề xuất |
+| 2.3.6 | `_confirm()` | Xác nhận và tạo các task từ AI plan |
+
+### 2.4 AI Import Tasks
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 2.4.1 | `_ai_import()` | AI nhập task từ file/link |
+| 2.4.2 | `_ai_pick_import_files()` | Chọn file để import |
+| 2.4.3 | `_generate_import()` | AI phân tích file và tạo tasks |
+| 2.4.4 | `_on_import_planned()` | Hiển thị preview import |
+
+---
+
+## 🔹 3. 🏠 WORKSPACE (Không Gian Làm Việc)
+
+### 3.1 Projects — Quản Lý Dự Án (Tab 0)
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 3.1.1 | `_create()` | Tạo dự án mới |
+| 3.1.2 | `_delete()` | Xóa dự án (có xác nhận) |
+| 3.1.3 | `_save()` | Lưu thông tin dự án (name, description, instructions, folder) |
+| 3.1.4 | `_pick_folder()` | Chọn workspace folder cho dự án |
+| 3.1.5 | `_open_workspace()` | Mở folder workspace trong file explorer |
+| 3.1.6 | `_select_project_row(project_id)` | Chọn dự án trong danh sách |
+| 3.1.7 | `_refresh_sandbox_toggle()` | Bật/tắt sandbox cho dự án |
+| 3.1.8 | `refresh()` | Làm mới danh sách dự án |
+
+### 3.2 Workspace Pane — Mỗi Dự Án Mở (Tab 1..N)
+
+#### 3.2.1 🤖 COWORK — Chat Với AI Agent
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 3.2.1.1 | `new_session()` | Tạo phiên chat mới |
+| 3.2.1.2 | `send_message()` | Gửi tin nhắn đến AI agent |
+| 3.2.1.3 | `_build_job()` | Xây dựng job cho AgentWorker (gọi `run_cowork`) |
+| 3.2.1.4 | `_cleanup_turn(ctx, ok)` | Dọn dẹp sau khi turn kết thúc (promote files, xóa sandbox) |
+| 3.2.1.5 | `_promote_turn_outputs()` | Di chuyển file đầu ra từ sandbox lên session output |
+| 3.2.1.6 | `_refresh_outputs_from_disk()` | Làm mới danh sách output files |
+| 3.2.1.7 | `_pick_output_folder()` | Chọn thư mục output |
+| 3.2.1.8 | `_open_skills_manager()` | Mở Skill Manager |
+| 3.2.1.9 | `refresh_header()` | Làm mới header (project name, model info) |
+| 3.2.1.10 | `refresh_agents()` | Làm mới danh sách agents trong combo |
+| 3.2.1.11 | `admin_agent_prompt()` | Lấy prompt từ agent preset đã chọn |
+| 3.2.1.12 | `build_provider()` | Xây dựng provider từ cấu hình agent/model |
+| 3.2.1.13 | `workspace_dir()` | Trả về workspace directory hiện tại |
+| 3.2.1.14 | `_start_watching(dir)` | Giám sát folder output (file watcher) |
+| 3.2.1.15 | `_on_file_changed()` | Xử lý khi file output thay đổi |
+
+**ChatPanel (Class cha của CoworkTab):**
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 3.2.1.16 | `_submit_message()` | Gửi tin nhắn (kiểm tra queue, parallel limit) |
+| 3.2.1.17 | `_on_turn_started()` | Khi turn bắt đầu (show thinking indicator) |
+| 3.2.1.18 | `_on_turn_finished()` | Khi turn kết thúc (update UI, queue next) |
+| 3.2.1.19 | `_on_event(ev)` | Xử lý streaming events (text delta, tool calls, plan) |
+| 3.2.1.20 | `_compress_messages()` | Nén tin nhắn cũ để giảm token |
+| 3.2.1.21 | `_on_agent_changed()` | Khi thay đổi agent trong combo |
+| 3.2.1.22 | `_apply_routing()` | Áp dụng model routing (Auto/Manual/Off) |
+| 3.2.1.23 | `_note_agent_switch()` | Ghi chú khi agent thay đổi giữa các turn |
+| 3.2.1.24 | `_ensure_conversation()` | Đảm bảo conversation tab tồn tại |
+| 3.2.1.25 | `load_conversation()` | Load hội thoại từ disk |
+| 3.2.1.26 | `running_session_ids()` | Trả về danh sách session đang chạy |
+| 3.2.1.27 | `active_workers()` | Trả về danh sách worker đang hoạt động |
+| 3.2.1.28 | `_save_conversation()` | Tự động lưu hội thoại |
+
+**Composer (Composer input box):**
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 3.2.1.29 | `send()` | Gửi tin nhắn |
+| 3.2.1.30 | `attach_files()` | Đính kèm file |
+| 3.2.1.31 | `attach_links()` | Đính kèm link URL |
+| 3.2.1.32 | `has_any_queue()` | Kiểm tra queue có tin nhắn chờ |
+| 3.2.1.33 | `_parse_directives()` | Phân tích directives inline (`/agent:name`, `/skill:name`) |
+| 3.2.1.34 | `_show_autocomplete()` | Hiển thị gợi ý tự động |
+
+#### 3.2.2 ⚡ CO4E — Node-Graph Workflow Studio
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 3.2.2.1 | `_build_sidebar()` | Xây dựng sidebar (Workflows / Agents / Skills tabs) |
+| 3.2.2.2 | `_build_canvas()` | Xây dựng canvas node-graph |
+| 3.2.2.3 | `_build_config_panel()` | Xây dựng config panel bên phải |
+| 3.2.2.4 | `_toggle_config()` | Thu/mở config panel |
+| 3.2.2.5 | `_build_canvas_overlay()` | Zoom +/− và Fit buttons trên canvas |
+
+**Workflows (Sidebar):**
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 3.2.2.6 | `_refresh_flows_list()` | Làm mới danh sách flows |
+| 3.2.2.7 | `_create_flow()` | Tạo flow mới |
+| 3.2.2.8 | `_delete_flow()` | Xóa flow |
+| 3.2.2.9 | `_duplicate_flow()` | Sao chép flow |
+| 3.2.2.10 | `_import_flow()` | Import flow từ file |
+| 3.2.2.11 | `_export_flow()` | Export flow ra file |
+| 3.2.2.12 | `_run_flow()` | Chạy flow (foreground/background) |
+| 3.2.2.13 | `_stop_flow()` | Dừng flow đang chạy |
+| 3.2.2.14 | `_open_flow()` | Mở flow trên canvas |
+
+**Agents (Sidebar):**
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 3.2.2.15 | `_refresh_agents_list()` | Làm mới danh sách agents |
+| 3.2.2.16 | `_create_agent()` | Tạo agent mới (dialog) |
+| 3.2.2.17 | `_edit_agent()` | Sửa agent |
+| 3.2.2.18 | `_delete_agent()` | Xóa agent |
+| 3.2.2.19 | `_toggle_agent_enabled()` | Bật/tắt agent |
+
+**Skills (Sidebar):**
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 3.2.2.20 | `_refresh_skills_list()` | Làm mới danh sách skills |
+
+**Canvas (Node-Graph):**
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 3.2.2.21 | `zoom_in()` / `zoom_out()` | Zoom canvas |
+| 3.2.2.22 | `fit_view()` | Auto-fit canvas |
+| 3.2.2.23 | `_add_node()` | Thêm node lên canvas |
+| 3.2.2.24 | `_delete_node()` | Xóa node |
+| 3.2.2.25 | `_connect_nodes()` | Kết nối 2 nodes |
+| 3.2.2.26 | `_drag_node()` | Kéo thả node |
+| 3.2.2.27 | `_select_node()` | Chọn node (→ config panel) |
+| 3.2.2.28 | `_activate_node()` | Double-click node |
+
+**Run Modes:**
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 3.2.2.29 | `_set_run_mode("auto")` | Auto mode: agent tự plan rồi execute |
+| 3.2.2.30 | `_set_run_mode("plan")` | Plan mode: chỉ tạo kế hoạch |
+| 3.2.2.31 | `_set_run_mode("manual")` | Manual mode: từng bước, bấm "Next step" |
+| 3.2.2.32 | `_run_step()` | Chạy bước tiếp theo (manual mode) |
+| 3.2.2.33 | `_on_step_finished()` | Xử lý khi bước hoàn thành |
+| 3.2.2.34 | `_render_plan()` | Render plan checklist |
+
+**Chat/Output (Bottom):**
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 3.2.2.35 | `_get_flow_chat(flow_id)` | Lấy ChatView cho flow (tạo mới nếu chưa có) |
+| 3.2.2.36 | `_on_chat_event()` | Xử lý event từ chat |
+
+#### 3.2.3 📁 FOLDER — File Explorer
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 3.2.3.1 | `set_root(path)` | Đặt thư mục gốc |
+| 3.2.3.2 | `_build_tree_view()` | Xây dựng cây thư mục (QFileSystemModel) |
+| 3.2.3.3 | `_open_file(path)` | Mở file được chọn |
+| 3.2.3.4 | `_view_source()` | Xem source code (syntax highlighting) |
+| 3.2.3.5 | `_view_html_preview()` | Preview HTML (WebEngine/rich text) |
+| 3.2.3.6 | `_view_office_doc()` | Xem Office doc (docx/pdf/xlsx/…) |
+| 3.2.3.7 | `_view_image()` | Hiển thị ảnh inline |
+| 3.2.3.8 | `_edit_file()` | Chỉnh sửa file (code editor) |
+| 3.2.3.9 | `_save_file()` | Lưu file |
+| 3.2.3.10 | `_preview_toggle()` | Chuyển đổi Preview ⇄ Edit |
+| 3.2.3.11 | `_create_new_file()` | Tạo file mới |
+| 3.2.3.12 | `_create_new_folder()` | Tạo folder mới |
+| 3.2.3.13 | `_rename_item()` | Đổi tên file/folder |
+| 3.2.3.14 | `_delete_item()` | Xóa file/folder |
+| 3.2.3.15 | `_copy_item()` | Sao chép file/folder |
+| 3.2.3.16 | `_paste_item()` | Dán file/folder |
+| 3.2.3.17 | `refresh_ai_models()` | Làm mới danh sách AI models cho AI Edit |
+
+**AI Edit (Chỉnh Sửa File Bằng AI):**
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 3.2.3.18 | `_ai_send()` | Gửi yêu cầu AI edit |
+| 3.2.3.19 | `_ai_apply()` | Áp dụng thay đổi AI |
+| 3.2.3.20 | `_ai_discard()` | Hủy thay đổi AI |
+| 3.2.3.21 | `_reset_ai_conversation()` | Xóa hội thoại AI edit |
+| 3.2.3.22 | `_ai_apply_routing()` | Áp dụng routing cho AI edit |
+
+#### 3.2.4 🧠 GRAPH RAG — Knowledge Graph
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 3.2.4.1 | `_build_graph()` | Xây dựng knowledge graph từ code/documents |
+| 3.2.4.2 | `_render_d3_graph()` | Render graph bằng D3.js (WebEngine) |
+| 3.2.4.3 | `_render_native_graph()` | Render graph bằng QGraphicsView (fallback) |
+| 3.2.4.4 | `_auto_rotate()` | Tự xoay graph khi idle |
+| 3.2.4.5 | `_on_node_click()` | Xử lý click node (mở folder) |
+| 3.2.4.6 | `_open_node_path()` | Mở folder chứa node |
+| 3.2.4.7 | `_refresh_graph()` | Tự cập nhật graph khi có output mới |
+| 3.2.4.8 | `_search_graph()` | Tìm kiếm trong graph |
+| 3.2.4.9 | `_filter_by_kind()` | Lọc node theo loại |
+| 3.2.4.10 | `_zoom_graph()` | Zoom graph |
+
+**Graph-RAG Q&A:**
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 3.2.4.11 | `_ask_question()` | Hỏi AI về graph |
+| 3.2.4.12 | `_on_ask_event()` | Xử lý streaming answer |
+| 3.2.4.13 | `_on_ask_done()` | Khi AI trả lời xong |
+| 3.2.4.14 | `_candidate_file_paths()` | Lấy danh sách file để extract |
+| 3.2.4.15 | `_extract_tmp_dir()` | Tạo thư mục tạm cho extraction |
+| 3.2.4.16 | `_clear_extracts()` | Xóa dữ liệu extract tạm |
+
+---
+
+## 🔹 4. 📊 MONITORING (Giám Sát)
+
+### 4.1 Overview — Tổng Quan
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 4.1.1 | `_refresh_overview()` | Làm mới tất cả cards overview |
+| 4.1.2 | `_refresh_usage_cards()` | Token Usage & Cost cards (Total, Input, Output, Cache) |
+| 4.1.3 | `_refresh_resource_usage()` | Resource usage (CPU, RAM, Disk) |
+| 4.1.4 | `_refresh_recent_activity()` | Hoạt động gần đây |
+| 4.1.5 | `_refresh_sandbox_details()` | Chi tiết sandbox (PID, uptime, limits) |
+| 4.1.6 | `_refresh_permissions()` | Hiển thị permissions hiện tại |
+| 4.1.7 | `_refresh_audit_log()` | Audit log gần đây |
+| 4.1.8 | `_refresh_budget()` | Budget card (còn lại / đã dùng) |
+| 4.1.9 | `_apply_budget()` | Lưu budget mới |
+
+### 4.2 Security Events — Sự Kiện Bảo Mật
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 4.2.1 | `_refresh_security_events()` | Làm mới bảng security events (audit log `kind="security_block"`) |
+| 4.2.2 | `_filter_security_events()` | Lọc sự kiện bảo mật |
+| 4.2.3 | `_sort_events()` | Sắp xếp bảng events |
+
+### 4.3 MCP Call History — Lịch Sử Gọi MCP
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 4.3.1 | `_refresh_mcp_calls()` | Làm mới bảng MCP calls (audit log `kind="mcp_call"`) |
+| 4.3.2 | `_filter_mcp_calls()` | Lọc MCP calls |
+
+### 4.4 Action Logs — Nhật Ký Hành Động
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 4.4.1 | `_refresh_action_logs()` | Làm mới bảng action logs (toàn bộ audit log) |
+| 4.4.2 | `_filter_action_logs()` | Lọc action logs |
+| 4.4.3 | `_sort_action_logs()` | Sắp xếp action logs |
+
+### 4.5 Agent Status — Trạng Thái Agent
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 4.5.1 | `_refresh_agent_status()` | Làm mới trạng thái các agent (Cowork, Co4E, Schedule, GraphRAG) |
+
+### 4.6 Security Settings — Cài Đặt Bảo Mật
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 4.6.1 | `_toggle_sandbox()` | Bật/tắt sandbox |
+| 4.6.2 | `_toggle_network_block()` | Chặn kết nối mạng |
+| 4.6.3 | `_set_resource_limits()` | Đặt giới hạn tài nguyên (CPU/RAM/Disk) |
+| 4.6.4 | `_toggle_command_confirm()` | Xác nhận trước khi chạy lệnh |
+| 4.6.5 | `_manage_permissions()` | Quản lý quyền truy cập |
+
+---
+
+## 🔹 5. ⚙️ SETTINGS (Cài Đặt)
+
+### 5.1 AI Provider — Nhà Cung Cấp AI
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 5.1.1 | `_on_provider_changed()` | Khi thay đổi provider |
+| 5.1.2 | `_load_models(provider)` | Load danh sách models của provider |
+| 5.1.3 | `_test_connection(provider)` | Kiểm tra kết nối provider |
+| 5.1.4 | `_stash_provider_fields()` | Lưu tạm các trường cấu hình provider |
+| 5.1.5 | `_apply_provider_fields()` | Áp dụng các trường cấu hình provider |
+| 5.1.6 | Model List Widget | Hiển thị danh sách models (enable/disable, chọn default) |
+
+### 5.2 Connectors (MCP) — Kết Nối
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 5.2.1 | `_add_mcp_server()` | Thêm MCP server mới |
+| 5.2.2 | `_edit_mcp_server()` | Sửa MCP server |
+| 5.2.3 | `_delete_mcp_server()` | Xóa MCP server |
+| 5.2.4 | `_test_mcp_connection()` | Kiểm tra kết nối MCP |
+| 5.2.5 | MS365 Connector | Kết nối Microsoft 365 (tự động khi đăng nhập) |
+| 5.2.6 | CAD/CAE Connectors | Kết nối CAD/CAE tools |
+
+### 5.3 Parameters — Tham Số
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 5.3.1 | `attach_tokens` | Giới hạn token cho attachments |
+| 5.3.2 | `attach_files` | Giới hạn số file attachments |
+| 5.3.3 | `struct_nodes` | Giới hạn nodes cho GraphRAG |
+| 5.3.4 | `struct_edges` | Giới hạn edges cho GraphRAG |
+
+### 5.4 Model Routing — Định Tuyến Model
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 5.4.1 | `routing_mode` | Chế độ routing (Off/Auto/Manual) |
+| 5.4.2 | `routing_policy` | Chính sách routing |
+| 5.4.3 | `routing_min_gain` | Threshold tối thiểu để chuyển model |
+| 5.4.4 | `routing_timeout` | Timeout xác nhận routing |
+| 5.4.5 | `routing_interval` | Khoảng thời gian đánh giá lại |
+| 5.4.6 | `routing_concurrency` | Số lượng request đồng thời per provider |
+| 5.4.7 | `routing_judge` | Model dùng để đánh giá routing |
+
+### 5.5 General — Chung
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 5.5.1 | Language Picker | Chọn ngôn ngữ (EN/VI/JP) |
+| 5.5.2 | `tray_chk` | Minimize to tray thay vì đóng |
+| 5.5.3 | `notify_chk` | Thông báo khi task hoàn thành |
+| 5.5.4 | `_save()` | Lưu tất cả cài đặt |
+
+---
+
+## 🔹 6. 📜 HISTORY SIDEBAR (Thanh Lịch Sử Bên Trái)
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 6.0.1 | `refresh()` | Làm mới danh sách hội thoại |
+| 6.0.2 | `set_view_state(session_id, running_ids)` | Đánh dấu hội thoại hiện tại + đang chạy |
+| 6.0.3 | `set_project_filter(project_id)` | Lọc theo dự án |
+| 6.0.4 | `_open_chat()` | Mở hội thoại khi click |
+| 6.0.5 | `_context_menu()` | Menu chuột phải (Pin/Unpin, Rename, Delete) |
+| 6.0.6 | `_bulk_delete_menu()` | Menu xóa hàng loạt |
+| 6.0.7 | `_confirm_and_delete_selected()` | Xác nhận và xóa các hội thoại đã chọn |
+| 6.0.8 | `new_chat(kind)` | Tạo hội thoại mới |
+| 6.0.9 | `collapse_requested()` | Thu nhỏ sidebar |
+| 6.0.10 | `expand_requested()` | Mở rộng sidebar |
+
+---
+
+## 🔹 7. 🧩 CÁC CHỨC NĂNG TOÀN CẦU (Global)
+
+### 7.1 MainWindow (app.py)
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 7.1.1 | `_build_topbar()` | Xây dựng thanh trên cùng (User name, Settings, Language) |
+| 7.1.2 | `_build_nav_rail()` | Xây dựng thanh điều hướng bên trái |
+| 7.1.3 | `_toggle_nav()` | Thu/mở nav rail (icon-only ↔ full) |
+| 7.1.4 | `_apply_nav_labels()` | Áp dụng labels cho nav items |
+| 7.1.5 | `_ensure_page(row)` | Xây dựng page lười (lazy loading) |
+| 7.1.6 | `_refresh_history()` | Làm mới history của tất cả panes |
+| 7.1.7 | `_on_scheduled_task_done()` | Thông báo khi scheduled task hoàn thành |
+| 7.1.8 | `_notify_task()` | Thông báo khi task hoàn thành |
+| 7.1.9 | `_on_projects_changed()` | Khi danh sách dự án thay đổi |
+| 7.1.10 | `_on_pane_turn_finished()` | Khi turn trong pane hoàn thành |
+| 7.1.11 | `_open_settings()` | Mở dialog cài đặt |
+| 7.1.12 | `_fit_to_screen()` | Tự động fit cửa sổ theo màn hình |
+| 7.1.13 | Toast notifications | Hiển thị thông báo toast |
+| 7.1.14 | System Tray | Minimize to tray, tray notifications |
+
+### 7.2 Skills Manager
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 7.2.1 | `_open_skills_manager()` | Mở Skill Manager |
+| 7.2.2 | `seed_library_skills()` | Gieo skills mặc định |
+| 7.2.3 | `prune_seeded_builtins()` | Dọn dẹp skills built-in |
+
+### 7.3 Welcome Dialog
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 7.3.1 | `maybe_show_welcome()` | Hiển thị dialog chào mừng lần đầu |
+
+### 7.4 i18n (Đa Ngôn Ngữ)
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 7.4.1 | `tr(key)` | Dịch chuỗi theo ngôn ngữ hiện tại |
+| 7.4.2 | `set_language(lang)` | Đặt ngôn ngữ |
+| 7.4.3 | `get_language()` | Lấy ngôn ngữ hiện tại |
+| 7.4.4 | `on_language_changed(callback)` | Đăng ký callback khi ngôn ngữ thay đổi |
+
+### 7.5 Task Scheduler (Nền)
+
+| # | Tên Hàm / Chức Năng | Mô Tả |
+|---|---------------------|--------|
+| 7.5.1 | `task_finished` signal | Khi scheduled task hoàn thành |
+| 7.5.2 | `history_ready` signal | Khi session của task sẵn sàng |
+| 7.5.3 | `running_session_ids()` | Lấy danh sách session đang chạy |
+
+---
+
+## 📌 TỔNG KẾT
+
+| Navigation Item | Số Hàm/Chức Năng |
+|----------------|:-:|
+| 📊 Dashboard | ~10 |
+| 📅 Schedule Task | ~25 |
+| 🏠 Workspace → Projects | ~8 |
+| 🏠 Workspace → Cowork | ~34 |
+| 🏠 Workspace → Co4E | ~36 |
+| 🏠 Workspace → Folder | ~22 |
+| 🏠 Workspace → Graph RAG | ~16 |
+| 📊 Monitoring | ~20 |
+| ⚙️ Settings | ~25 |
+| 📜 History Sidebar | ~10 |
+| 🌐 Global Functions | ~15 |
+| **TỔNG CỘNG** | **~221** |
+
+> **Lưu ý:** Đây là danh sách các hàm/chức năng ở cấp UI và business logic chính. Các hàm core (providers, MCP, worker, security…) nằm ở tầng dưới và được gọi bởi các hàm UI ở trên.
\ No newline at end of file
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+<!doctype html>
+<html lang="vi">
+<head>
+<meta charset="utf-8">
+<meta name="viewport" content="width=device-width,initial-scale=1">
+<title>Tìm hiểu RAG — Hỏi &amp; Đáp</title>
+<style>
+:root{
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+@media(max-width:820px){.toc ol{columns:1}.a{padding-left:18px}}
+</style>
+</head>
+<body>
+<div class="bar"><span>Tìm hiểu RAG — Hỏi &amp; Đáp</span>
+<span class="sub">Chuẩn bị cho phần Q&amp;A sau buổi trình bày</span></div>
+<div class="wrap">
+
+<h1>Những câu hay được hỏi nhất</h1>
+<p class="lead">20 câu, xếp từ dễ tới khó. Năm câu cuối là về chính dự án Cowork-Local —
+nhóm câu này gần như chắc chắn sẽ có người hỏi.</p>
+
+<div class="toc"><b>Nội dung</b>
+<ol>
+<li><a href="#q1">RAG là gì, nói gọn trong một câu?</a></li>
+<li><a href="#q2">RAG khác fine-tuning thế nào?</a></li>
+<li><a href="#q3">RAG có xoá hết bịa đặt không?</a></li>
+<li><a href="#q4">Vector là gì mà so sánh được nghĩa?</a></li>
+<li><a href="#q5">Chia đoạn bao nhiêu chữ là đúng?</a></li>
+<li><a href="#q6">Overlap để làm gì?</a></li>
+<li><a href="#q7">top-K nên đặt bao nhiêu?</a></li>
+<li><a href="#q8">Chọn mô hình embedding thế nào? Tiếng Việt thì sao?</a></li>
+<li><a href="#q9">Bắt buộc phải có Vector DB không?</a></li>
+<li><a href="#q10">Chỉ tìm theo vector đã đủ chưa?</a></li>
+<li><a href="#q11">Câu hỏi cần nối nhiều tài liệu thì sao?</a></li>
+<li><a href="#q12">Context window đã 1 triệu token, còn cần RAG?</a></li>
+<li><a href="#q13">Chi phí thực tế bao nhiêu?</a></li>
+<li><a href="#q14">RAG làm chậm bao nhiêu?</a></li>
+<li><a href="#q15">Tài liệu sửa thì cập nhật thế nào?</a></li>
+<li><a href="#q16">Đo chất lượng RAG bằng gì?</a></li>
+<li><a href="#q17">Phân quyền tài liệu xử lý ra sao?</a></li>
+<li><a href="#q18">Cowork-Local đã có RAG chưa?</a></li>
+<li><a href="#q19">GraphRAG của dự án có phải GraphRAG của Microsoft?</a></li>
+<li><a href="#q20">Muốn nâng lên RAG đầy đủ cần làm gì?</a></li>
+</ol></div>
+
+<h2>Nhóm 1 — Khái niệm</h2>
+
+<div class="qa" id="q1"><div class="q"><span class="n">1</span>
+RAG là gì, nói gọn trong một câu?</div>
+<div class="a">
+<p><b>Tìm tài liệu liên quan trước, rồi đưa cho LLM đọc và trả lời dựa trên đó</b> — thay vì
+để LLM trả lời bằng trí nhớ có sẵn.</p>
+<p>Ví von: thay vì bắt thí sinh làm bài từ trí nhớ, ta cho <i>thi mở sách</i> — nhưng có
+thủ thư lật sẵn đúng trang cần đọc.</p>
+</div></div>
+
+<div class="qa" id="q2"><div class="q"><span class="n">2</span>
+RAG khác fine-tuning thế nào? Khi nào dùng cái nào?</div>
+<div class="a">
+<figure>
+<svg viewBox="0 0 720 190" role="img" aria-label="So sánh RAG và fine-tuning">
+<rect x="8" y="14" width="340" height="162" rx="8" fill="#EAF2FC" stroke="#1565C0"/>
+<text x="26" y="40" font-size="15" font-weight="700" fill="#0A4EA3">RAG — đưa thêm tài liệu</text>
+<rect x="26" y="56" width="86" height="34" rx="5" fill="#fff" stroke="#4A90D9"/>
+<text x="69" y="77" font-size="12" text-anchor="middle" fill="#2B3542">Câu hỏi</text>
+<path d="M116 73 h22" stroke="#5A6675" stroke-width="1.6" marker-end="url(#ar)"/>
+<rect x="142" y="56" width="94" height="34" rx="5" fill="#fff" stroke="#4A90D9"/>
+<text x="189" y="72" font-size="11" text-anchor="middle" fill="#2B3542">Tìm tài liệu</text>
+<text x="189" y="84" font-size="10" text-anchor="middle" fill="#5A6675">top-K đoạn</text>
+<path d="M240 73 h22" stroke="#5A6675" stroke-width="1.6" marker-end="url(#ar)"/>
+<rect x="266" y="56" width="66" height="34" rx="5" fill="#1565C0"/>
+<text x="299" y="77" font-size="12" text-anchor="middle" fill="#fff">LLM</text>
+<text x="26" y="116" font-size="12" fill="#2B3542">✔ Cập nhật tức thì — chỉ re-index</text>
+<text x="26" y="136" font-size="12" fill="#2B3542">✔ Trích được nguồn</text>
+<text x="26" y="156" font-size="12" fill="#2B3542">✔ Rẻ, không cần GPU train</text>
+<rect x="372" y="14" width="340" height="162" rx="8" fill="#FDF3E3" stroke="#B26A00"/>
+<text x="390" y="40" font-size="15" font-weight="700" fill="#8A5000">Fine-tune — dạy lại mô hình</text>
+<rect x="390" y="56" width="96" height="34" rx="5" fill="#fff" stroke="#D9A24A"/>
+<text x="438" y="72" font-size="11" text-anchor="middle" fill="#2B3542">Dữ liệu mẫu</text>
+<text x="438" y="84" font-size="10" text-anchor="middle" fill="#5A6675">hàng nghìn cặp</text>
+<path d="M490 73 h22" stroke="#5A6675" stroke-width="1.6" marker-end="url(#ar)"/>
+<rect x="516" y="56" width="80" height="34" rx="5" fill="#fff" stroke="#D9A24A"/>
+<text x="556" y="77" font-size="12" text-anchor="middle" fill="#2B3542">Huấn luyện</text>
+<path d="M600 73 h22" stroke="#5A6675" stroke-width="1.6" marker-end="url(#ar)"/>
+<rect x="626" y="56" width="70" height="34" rx="5" fill="#B26A00"/>
+<text x="661" y="77" font-size="12" text-anchor="middle" fill="#fff">Model mới</text>
+<text x="390" y="116" font-size="12" fill="#2B3542">✔ Dạy được <i>văn phong</i>, định dạng</text>
+<text x="390" y="136" font-size="12" fill="#2B3542">✔ Dạy được kỹ năng chuyên ngành</text>
+<text x="390" y="156" font-size="12" fill="#2B3542">✘ Kiến thức mới → phải train lại</text>
+<defs><marker id="ar" markerWidth="7" markerHeight="7" refX="6" refY="3.5" orient="auto">
+<path d="M0 0 L7 3.5 L0 7 z" fill="#5A6675"/></marker></defs>
+</svg>
+<figcaption>RAG thêm <i>kiến thức</i>. Fine-tune thay đổi <i>hành vi</i>.</figcaption>
+</figure>
+<p><b>Quy tắc chọn:</b> câu trả lời phụ thuộc <i>nội dung tài liệu</i> → RAG.
+Phụ thuộc <i>cách nói / định dạng / kỹ năng</i> → fine-tune. Cần cả hai thì làm cả hai.</p>
+<div class="note">Đa số bài toán doanh nghiệp là loại thứ nhất, nên RAG hầu như luôn là
+bước làm trước.</div>
+</div></div>
+
+<div class="qa" id="q3"><div class="q"><span class="n">3</span>
+RAG có xoá hết bịa đặt (hallucination) không?</div>
+<div class="a">
+<p><b>Không. Chỉ giảm mạnh.</b> Đây là câu dễ bị hỏi vặn nhất, nên trả lời thẳng.</p>
+<p>RAG vẫn sai được ở bốn chỗ:</p>
+<ul>
+<li><b>Tra sai đoạn</b> — lấy nhầm tài liệu, LLM trả lời trung thực trên tài liệu sai.</li>
+<li><b>Không có trong kho</b> — LLM vẫn cố trả lời thay vì nói "không tìm thấy".</li>
+<li><b>Đọc đúng nhưng suy diễn thêm</b> — thêm chi tiết không có trong đoạn trích.</li>
+<li><b>Tài liệu gốc đã sai</b> — RAG không kiểm chứng nội dung.</li>
+</ul>
+<div class="note warn">Cách khắc phục thực dụng: bắt LLM <b>trích dẫn đoạn nguồn</b> cho từng ý,
+và cho phép trả lời <b>"không tìm thấy trong tài liệu"</b>. Slide "Ưu điểm" nên nói
+<i>giảm</i> hallucination, không nói <i>hết</i>.</div>
+</div></div>
+
+<div class="qa" id="q4"><div class="q"><span class="n">4</span>
+Vector là gì mà so sánh được "nghĩa giống nhau"?</div>
+<div class="a">
+<figure>
+<svg viewBox="0 0 720 210" role="img" aria-label="Không gian vector, các câu gần nghĩa nằm gần nhau">
+<rect x="40" y="14" width="640" height="164" rx="8" fill="#fff" stroke="var(--bds)"/>
+<line x1="70" y1="160" x2="660" y2="160" stroke="#CBD5E1"/>
+<line x1="70" y1="160" x2="70" y2="30" stroke="#CBD5E1"/>
+<circle cx="180" cy="70" r="6" fill="#1565C0"/><text x="192" y="74" font-size="12">"Xe hơi"</text>
+<circle cx="214" cy="88" r="6" fill="#1565C0"/><text x="226" y="92" font-size="12">"Ô tô"</text>
+<circle cx="196" cy="52" r="6" fill="#1565C0"/><text x="208" y="56" font-size="12">"Xe bốn bánh"</text>
+<ellipse cx="200" cy="70" rx="86" ry="46" fill="none" stroke="#1565C0"
+  stroke-dasharray="4 3" opacity=".6"/>
+<circle cx="520" cy="120" r="6" fill="#B26A00"/><text x="532" y="124" font-size="12">"Nấu phở"</text>
+<circle cx="556" cy="98" r="6" fill="#B26A00"/><text x="568" y="102" font-size="12">"Công thức bún"</text>
+<ellipse cx="540" cy="110" rx="70" ry="38" fill="none" stroke="#B26A00"
+  stroke-dasharray="4 3" opacity=".6"/>
+<circle cx="300" cy="118" r="7" fill="#C0392B"/>
+<text x="252" y="140" font-size="12" fill="#C0392B">câu hỏi của user</text>
+<line x1="300" y1="118" x2="214" y2="88" stroke="#C0392B" stroke-width="1.4"/>
+<text x="236" y="112" font-size="10.5" fill="#C0392B">gần → lấy</text>
+<line x1="300" y1="118" x2="520" y2="120" stroke="#CBD5E1" stroke-width="1.2"
+  stroke-dasharray="3 3"/>
+<text x="386" y="134" font-size="10.5" fill="#8A94A3">xa → bỏ qua</text>
+</svg>
+<figcaption>Mỗi đoạn chữ thành một điểm trong không gian nhiều chiều.
+Gần nhau = gần nghĩa.</figcaption>
+</figure>
+<p>Mô hình embedding biến một đoạn chữ thành dãy số (768 – 4096 chiều). Nó được huấn luyện
+sao cho <b>hai đoạn cùng nghĩa cho ra hai điểm gần nhau</b>, kể cả khi không trùng một chữ nào.</p>
+<p>Máy đo "gần" bằng <b>cosine similarity</b> — góc giữa hai vector. Nhờ vậy hỏi "xe hơi"
+vẫn tìm ra tài liệu viết "ô tô".</p>
+<div class="note">Đây chính là điểm RAG hơn tìm kiếm từ khoá: từ khoá cần <i>trùng chữ</i>,
+vector chỉ cần <i>trùng nghĩa</i>.</div>
+</div></div>
+
+<h2>Nhóm 2 — Tham số kỹ thuật</h2>
+
+<div class="qa" id="q5"><div class="q"><span class="n">5</span>
+Chia đoạn bao nhiêu chữ là đúng?</div>
+<div class="a">
+<p><b>Không có con số đúng chung</b> — phụ thuộc loại tài liệu. Nhưng có nguyên tắc:</p>
+<table>
+<tr><th>Loại tài liệu</th><th>Cỡ đoạn gợi ý</th><th>Vì sao</th></tr>
+<tr><td>FAQ, hỏi đáp ngắn</td><td>100 – 300 chữ</td><td>Mỗi mục vốn đã độc lập</td></tr>
+<tr><td>Chính sách, quy trình</td><td>300 – 600 chữ</td><td>Giữ trọn một điều khoản</td></tr>
+<tr><td>Sách, báo cáo dài</td><td>500 – 1000 chữ</td><td>Cần đủ ngữ cảnh xung quanh</td></tr>
+<tr><td>Mã nguồn</td><td>theo hàm / lớp</td><td>Cắt giữa hàm là hỏng nghĩa</td></tr>
+</table>
+<div class="note warn"><b>Đoạn quá nhỏ</b> → mất ngữ cảnh, tra ra mảnh vụn vô nghĩa.
+<b>Đoạn quá lớn</b> → một đoạn chứa nhiều chủ đề, vector bị "trung bình hoá" nên tra kém chính xác,
+lại tốn token.</div>
+<p>Thực tế nên <b>cắt theo cấu trúc trước</b> (theo mục, theo điều, theo hàm) rồi mới giới hạn
+độ dài — cắt cứng theo số chữ là phương án cuối.</p>
+</div></div>
+
+<div class="qa" id="q6"><div class="q"><span class="n">6</span>
+Overlap 10–20% để làm gì?</div>
+<div class="a">
+<figure>
+<svg viewBox="0 0 720 150" role="img" aria-label="Chia đoạn có phần chồng lấn">
+<text x="20" y="26" font-size="12.5" font-weight="700" fill="#C0392B">Không overlap — câu bị cắt đôi</text>
+<rect x="20" y="36" width="200" height="30" rx="4" fill="#EAF2FC" stroke="#4A90D9"/>
+<rect x="222" y="36" width="200" height="30" rx="4" fill="#EAF2FC" stroke="#4A90D9"/>
+<rect x="424" y="36" width="200" height="30" rx="4" fill="#EAF2FC" stroke="#4A90D9"/>
+<text x="120" y="55" font-size="11" text-anchor="middle">đoạn 1</text>
+<text x="322" y="55" font-size="11" text-anchor="middle">đoạn 2</text>
+<text x="524" y="55" font-size="11" text-anchor="middle">đoạn 3</text>
+<line x1="221" y1="30" x2="221" y2="72" stroke="#C0392B" stroke-width="2"/>
+<text x="228" y="82" font-size="10.5" fill="#C0392B">"Mức phụ cấp là | 2 triệu/tháng" — mất vế sau</text>
+<text x="20" y="110" font-size="12.5" font-weight="700" fill="#1B7A3D">Có overlap — câu nào cũng trọn ở ít nhất 1 đoạn</text>
+<rect x="20" y="118" width="210" height="26" rx="4" fill="#E8F5EC" stroke="#1B7A3D"/>
+<rect x="196" y="118" width="210" height="26" rx="4" fill="#E8F5EC" stroke="#1B7A3D"
+  opacity=".75"/>
+<rect x="372" y="118" width="210" height="26" rx="4" fill="#E8F5EC" stroke="#1B7A3D"
+  opacity=".55"/>
+<rect x="196" y="118" width="34" height="26" fill="#1B7A3D" opacity=".2"/>
+<rect x="372" y="118" width="34" height="26" fill="#1B7A3D" opacity=".2"/>
+<text x="600" y="136" font-size="10.5" fill="#1B7A3D">phần tô đậm = chồng lấn</text>
+</svg>
+<figcaption>Overlap là bảo hiểm cho những câu nằm vắt ngang ranh giới đoạn.</figcaption>
+</figure>
+<p>Cắt cứng theo số chữ sẽ có lúc cắt <b>giữa một câu hoặc giữa một ý</b>. Đoạn nào cũng
+lặp lại một phần đoạn trước thì thông tin ở ranh giới luôn còn nguyên vẹn ở ít nhất một đoạn.</p>
+<p>Giá phải trả: kho phình thêm đúng bằng tỉ lệ overlap. 20% overlap → nhiều hơn ~20% vector.</p>
+</div></div>
+
+<div class="qa" id="q7"><div class="q"><span class="n">7</span>
+top-K nên đặt bao nhiêu?</div>
+<div class="a">
+<p>Thường <b>3 – 10</b>. Cách chọn:</p>
+<ul>
+<li><b>K nhỏ (3–5)</b> — câu hỏi tra cứu một dữ kiện. Ít nhiễu, rẻ, nhanh.</li>
+<li><b>K lớn (8–15)</b> — câu hỏi tổng hợp, cần gom nhiều nguồn.</li>
+</ul>
+<div class="note warn">K càng lớn <b>không</b> đồng nghĩa càng chính xác. Đoạn thứ 15 thường
+đã lạc đề, và nó <i>làm loãng</i> ngữ cảnh khiến LLM trả lời kém đi — hiện tượng
+"lạc giữa đống tài liệu".</div>
+<p>Thực dụng hơn: đặt <b>ngưỡng điểm tương đồng</b> thay vì K cố định — lấy mọi đoạn trên
+ngưỡng, không có đoạn nào đạt thì trả lời "không tìm thấy".</p>
+</div></div>
+
+<div class="qa" id="q8"><div class="q"><span class="n">8</span>
+Chọn mô hình embedding thế nào? Tiếng Việt có ổn không?</div>
+<div class="a">
+<p>Ba tiêu chí: <b>hỗ trợ tiếng Việt</b>, <b>số chiều</b>, <b>chạy nội bộ hay gọi API</b>.</p>
+<table>
+<tr><th>Nhóm</th><th>Ví dụ</th><th>Ghi chú</th></tr>
+<tr><td>API thương mại</td><td>OpenAI <code>text-embedding-3</code>, Cohere</td>
+<td>Chất lượng tốt, nhưng <b>tài liệu phải gửi ra ngoài</b></td></tr>
+<tr><td>Đa ngữ, chạy nội bộ</td><td>multilingual-e5, BGE-M3</td>
+<td>Tiếng Việt khá tốt, chạy được trên máy công ty</td></tr>
+<tr><td>Chuyên tiếng Việt</td><td>PhoBERT và các bản fine-tune</td>
+<td>Cần đánh giá lại trên chính dữ liệu của mình</td></tr>
+</table>
+<div class="note bad"><b>Lưu ý bắt buộc:</b> đổi mô hình embedding thì
+<b>phải index lại toàn bộ kho</b>. Vector của mô hình này không so sánh được với vector của
+mô hình khác. Nên chọn kỹ ngay từ đầu.</div>
+<p>Với dữ liệu nội bộ nhạy cảm, nhóm "chạy nội bộ" thường là lựa chọn duy nhất khả thi.</p>
+</div></div>
+
+<div class="qa" id="q9"><div class="q"><span class="n">9</span>
+Bắt buộc phải có Vector DB riêng không?</div>
+<div class="a">
+<p><b>Không.</b> Chọn theo quy mô:</p>
+<table>
+<tr><th>Quy mô</th><th>Giải pháp</th><th>Ghi chú</th></tr>
+<tr><td>&lt; 100k vector</td><td>FAISS, Chroma, hoặc file numpy</td>
+<td>Không cần dựng thêm dịch vụ</td></tr>
+<tr><td>Đã có PostgreSQL</td><td><code>pgvector</code></td>
+<td>Dùng luôn DB sẵn có — thường là lựa chọn tốt nhất</td></tr>
+<tr><td>Triệu vector trở lên</td><td>Milvus, Qdrant, Weaviate</td>
+<td>Cần index ANN chuyên dụng</td></tr>
+<tr><td>Không muốn tự vận hành</td><td>Pinecone</td>
+<td>Dịch vụ đám mây, dữ liệu ra ngoài</td></tr>
+</table>
+<p>Ví dụ trong slide — 100 file PDF ra 20.000 vector — <b>hoàn toàn không cần</b> Vector DB
+chuyên dụng. FAISS trên một máy là đủ và nhanh.</p>
+</div></div>
+
+<h2>Nhóm 3 — Chất lượng truy hồi</h2>
+
+<div class="qa" id="q10"><div class="q"><span class="n">10</span>
+Chỉ tìm theo vector đã đủ chưa?</div>
+<div class="a">
+<figure>
+<svg viewBox="0 0 720 168" role="img" aria-label="Hybrid search và rerank">
+<rect x="14" y="52" width="98" height="42" rx="6" fill="#fff" stroke="#4A90D9"/>
+<text x="63" y="70" font-size="12" text-anchor="middle">Câu hỏi</text>
+<text x="63" y="85" font-size="10" text-anchor="middle" fill="#5A6675">của user</text>
+<path d="M116 73 h26" stroke="#5A6675" stroke-width="1.6" marker-end="url(#a2)"/>
+<rect x="146" y="20" width="128" height="42" rx="6" fill="#EAF2FC" stroke="#1565C0"/>
+<text x="210" y="38" font-size="12" text-anchor="middle" fill="#0A4EA3">Tìm theo vector</text>
+<text x="210" y="52" font-size="10" text-anchor="middle" fill="#5A6675">bắt được ý nghĩa</text>
+<rect x="146" y="84" width="128" height="42" rx="6" fill="#FDF3E3" stroke="#B26A00"/>
+<text x="210" y="102" font-size="12" text-anchor="middle" fill="#8A5000">Tìm theo từ khoá</text>
+<text x="210" y="116" font-size="10" text-anchor="middle" fill="#5A6675">bắt mã, tên riêng</text>
+<path d="M278 41 h20 v32" stroke="#5A6675" stroke-width="1.6" fill="none"/>
+<path d="M278 105 h20 v-32" stroke="#5A6675" stroke-width="1.6" fill="none"
+  marker-end="url(#a2)"/>
+<rect x="318" y="52" width="104" height="42" rx="6" fill="#fff" stroke="#4A90D9"/>
+<text x="370" y="70" font-size="12" text-anchor="middle">Gộp kết quả</text>
+<text x="370" y="85" font-size="10" text-anchor="middle" fill="#5A6675">~30 đoạn</text>
+<path d="M426 73 h26" stroke="#5A6675" stroke-width="1.6" marker-end="url(#a2)"/>
+<rect x="456" y="52" width="110" height="42" rx="6" fill="#1565C0"/>
+<text x="511" y="70" font-size="12" text-anchor="middle" fill="#fff">Rerank</text>
+<text x="511" y="85" font-size="10" text-anchor="middle" fill="#D6E7F8">chấm lại điểm</text>
+<path d="M570 73 h26" stroke="#5A6675" stroke-width="1.6" marker-end="url(#a2)"/>
+<rect x="600" y="52" width="104" height="42" rx="6" fill="#E8F5EC" stroke="#1B7A3D"/>
+<text x="652" y="70" font-size="12" text-anchor="middle" fill="#14612F">Top 5 tinh</text>
+<text x="652" y="85" font-size="10" text-anchor="middle" fill="#5A6675">đưa cho LLM</text>
+<defs><marker id="a2" markerWidth="7" markerHeight="7" refX="6" refY="3.5" orient="auto">
+<path d="M0 0 L7 3.5 L0 7 z" fill="#5A6675"/></marker></defs>
+</svg>
+<figcaption>Hai cách tìm bù khuyết cho nhau, rồi lọc lại một lần nữa.</figcaption>
+</figure>
+<p><b>Chưa đủ.</b> Vector giỏi bắt ý nghĩa nhưng <b>dở với mã số, tên riêng, ký hiệu</b> —
+hỏi "điều 7.5.3" hay "mã lỗi FN0101" thì tìm từ khoá lại chính xác hơn hẳn.</p>
+<p>Hai cải tiến gần như luôn đáng làm:</p>
+<ul>
+<li><b>Hybrid search</b> — chạy song song vector + từ khoá (BM25), gộp kết quả.</li>
+<li><b>Rerank</b> — lấy ~30 đoạn rồi dùng mô hình cross-encoder chấm lại, giữ 5 đoạn tốt nhất.
+Đây thường là <b>cải thiện lớn nhất</b> với chi phí nhỏ nhất.</li>
+</ul>
+</div></div>
+
+<div class="qa" id="q11"><div class="q"><span class="n">11</span>
+Câu hỏi cần nối nhiều tài liệu (multi-hop) thì sao?</div>
+<div class="a">
+<p>Slide đã nêu đúng đây là điểm yếu. Ví dụ: <i>"Nhân viên nào ký hợp đồng với nhà cung cấp
+có doanh số cao nhất năm ngoái?"</i> — cần tra bảng doanh số trước, rồi mới tra hợp đồng.</p>
+<p>RAG một lượt sẽ hỏng, vì một lần tra không thể ra cả hai. Ba hướng xử lý:</p>
+<ul>
+<li><b>Tra nhiều vòng (agentic RAG)</b> — cho LLM tự quyết định tra tiếp, dùng kết quả vòng
+trước làm câu truy vấn vòng sau.</li>
+<li><b>Tách câu hỏi</b> — chia thành các câu con, tra từng câu, rồi tổng hợp.</li>
+<li><b>Knowledge graph</b> — dựng sẵn quan hệ giữa các thực thể để đi theo liên kết thay vì
+tra lại từ đầu. Đây chính là ý tưởng của GraphRAG.</li>
+</ul>
+</div></div>
+
+<h2>Nhóm 4 — Vận hành</h2>
+
+<div class="qa" id="q12"><div class="q"><span class="n">12</span>
+Context window đã tới 1 triệu token — còn cần RAG không?</div>
+<div class="a">
+<p><b>Vẫn cần</b>, vì ba lý do:</p>
+<ul>
+<li><b>Chi phí</b> — nhét 500k token vào mỗi câu hỏi thì mỗi lượt hỏi tốn gấp hàng trăm lần
+so với nhét 5 đoạn. Nhân với số lượt hỏi mỗi ngày.</li>
+<li><b>Độ trễ</b> — đọc 500k token mất hàng chục giây.</li>
+<li><b>Quy mô</b> — kho tài liệu doanh nghiệp thường vài chục triệu token, vượt xa mọi
+context window.</li>
+</ul>
+<div class="note">Thêm nữa, độ chính xác <b>giảm khi ngữ cảnh quá dài</b> — mô hình hay bỏ sót
+thông tin nằm ở giữa. Đưa 5 đoạn đúng thường cho kết quả tốt hơn đưa cả cuốn sách.</div>
+<p>Context dài <i>có</i> chỗ dùng: khi tổng tài liệu nhỏ (vài chục trang) và bạn muốn giải pháp
+đơn giản nhất — lúc đó bỏ RAG cho gọn là hợp lý.</p>
+</div></div>
+
+<div class="qa" id="q13"><div class="q"><span class="n">13</span>
+Chi phí thực tế bao nhiêu?</div>
+<div class="a">
+<p>Tách làm hai phần, và phần đắt <b>không</b> phải phần người ta hay lo:</p>
+<table>
+<tr><th>Khoản</th><th>Khi nào phát sinh</th><th>Mức độ</th></tr>
+<tr><td>Embedding tài liệu</td><td>Một lần lúc index + khi tài liệu đổi</td>
+<td><b>Rẻ</b> — embedding rẻ hơn LLM hàng chục lần</td></tr>
+<tr><td>Lưu trữ vector</td><td>Liên tục</td><td>Nhỏ, trừ khi kho cực lớn</td></tr>
+<tr><td>Embedding câu hỏi</td><td>Mỗi lượt hỏi</td><td>Không đáng kể</td></tr>
+<tr><td><b>LLM sinh câu trả lời</b></td><td>Mỗi lượt hỏi</td>
+<td><b>Chiếm phần lớn chi phí</b></td></tr>
+</table>
+<p>Vì vậy giảm chi phí RAG thực chất là <b>giảm số token đưa vào LLM</b> — tức chọn top-K
+gọn và đoạn sạch, chứ không phải tiết kiệm ở khâu embedding.</p>
+</div></div>
+
+<div class="qa" id="q14"><div class="q"><span class="n">14</span>
+RAG làm chậm thêm bao nhiêu?</div>
+<div class="a">
+<p>Bước tra thường tốn <b>vài chục tới vài trăm mili-giây</b>: embedding câu hỏi + tìm trong
+vector DB. Có rerank thì cộng thêm chút nữa.</p>
+<p>So với thời gian LLM sinh câu trả lời (thường vài giây), phần này <b>gần như không đáng kể</b>.</p>
+<div class="note warn">Slide ghi "ứng dụng real-time cần &lt; 100ms" thì nên cẩn trọng —
+đúng, nhưng lúc đó nút thắt là <b>LLM</b>, không phải bước tra. Nếu cần dưới 100ms thì
+bản thân việc gọi LLM đã không khả thi rồi.</div>
+</div></div>
+
+<div class="qa" id="q15"><div class="q"><span class="n">15</span>
+Tài liệu sửa thì cập nhật thế nào?</div>
+<div class="a">
+<p>Chỉ cần <b>index lại phần thay đổi</b>, không đụng tới mô hình:</p>
+<ul>
+<li>File sửa → xoá vector cũ của file đó, embedding lại, ghi vector mới.</li>
+<li>File xoá → xoá vector tương ứng.</li>
+<li>File mới → embedding và thêm vào.</li>
+</ul>
+<p>Cách làm thực dụng: lưu kèm <b>hash nội dung</b> mỗi file, chạy định kỳ, chỉ xử lý file
+có hash đổi. Vài giây cho một lần cập nhật thông thường.</p>
+<div class="note bad">Ngoại lệ duy nhất phải làm lại toàn bộ: <b>đổi mô hình embedding</b>
+hoặc <b>đổi cách chia đoạn</b>.</div>
+</div></div>
+
+<div class="qa" id="q16"><div class="q"><span class="n">16</span>
+Đo chất lượng RAG bằng gì? Làm sao biết là tốt?</div>
+<div class="a">
+<p>Điểm mấu chốt: <b>đo tách hai khâu</b>, vì hỏng ở đâu thì sửa ở đó khác nhau.</p>
+<table>
+<tr><th>Khâu</th><th>Đo gì</th><th>Hỏng thì sửa gì</th></tr>
+<tr><td><b>Truy hồi</b></td><td>Đoạn đúng có nằm trong top-K không?</td>
+<td>Chia đoạn, mô hình embedding, hybrid, rerank</td></tr>
+<tr><td><b>Sinh câu trả lời</b></td><td>Câu trả lời có bám vào đoạn đã lấy không?</td>
+<td>Prompt, model, yêu cầu trích nguồn</td></tr>
+</table>
+<p>Cách làm tối thiểu mà hiệu quả: dựng <b>bộ 50–100 câu hỏi mẫu có đáp án đúng</b> lấy từ
+người dùng thật. Mỗi lần chỉnh tham số thì chạy lại bộ đó và so điểm.</p>
+<div class="note">Không có bộ câu hỏi mẫu thì mọi tinh chỉnh chỉ là cảm tính — đây là việc
+nên làm ngay từ đầu, trước cả khi tối ưu.</div>
+</div></div>
+
+<div class="qa" id="q17"><div class="q"><span class="n">17</span>
+Phân quyền tài liệu xử lý ra sao? Người A không được xem tài liệu của phòng B.</div>
+<div class="a">
+<p>Đây là câu hay bị bỏ quên tới lúc triển khai thật mới lộ ra.</p>
+<p><b>Nguyên tắc: lọc quyền ở bước truy hồi, không phải ở bước trả lời.</b> Tuyệt đối không
+dựa vào việc nhắc LLM "đừng nói về tài liệu này" — không đáng tin.</p>
+<ul>
+<li>Mỗi vector lưu kèm <b>metadata quyền</b> (phòng ban, mức mật, danh sách người xem).</li>
+<li>Khi tra, lọc theo quyền của người hỏi <b>ngay trong truy vấn</b>.</li>
+<li>Tài liệu ngoài quyền thì không bao giờ vào được ngữ cảnh của LLM.</li>
+</ul>
+<div class="note bad">Rủi ro thường gặp: một đoạn trích chứa thông tin mật lọt vào ngữ cảnh,
+LLM tóm tắt lại và <b>rò rỉ gián tiếp</b> dù không trích nguyên văn.</div>
+</div></div>
+
+<h2>Nhóm 5 — Về dự án Cowork-Local</h2>
+<p class="lead">Nhóm này gần như chắc chắn được hỏi, vì slide 17 đã tự nêu ra.</p>
+
+<div class="qa" id="q18"><div class="q"><span class="n">18</span>
+Vậy Cowork-Local đã có RAG chưa?</div>
+<div class="a">
+<p>Trả lời thẳng như slide 17 đã viết: <b>chưa có RAG theo nghĩa đầy đủ.</b></p>
+<figure>
+<svg viewBox="0 0 720 150" role="img" aria-label="Ba mức nạp ngữ cảnh">
+<rect x="10" y="24" width="222" height="104" rx="8" fill="#FDF3E3" stroke="#B26A00"/>
+<text x="121" y="48" font-size="13" font-weight="700" text-anchor="middle" fill="#8A5000">
+Mức 1 — Nạp thủ công</text>
+<text x="121" y="70" font-size="11.5" text-anchor="middle" fill="#2B3542">Đính kèm file, dán link,</text>
+<text x="121" y="86" font-size="11.5" text-anchor="middle" fill="#2B3542">Instructions của project</text>
+<text x="121" y="110" font-size="11" text-anchor="middle" fill="#8A5000">Người dùng tự chọn</text>
+<rect x="248" y="24" width="222" height="104" rx="8" fill="#EAF2FC" stroke="#1565C0"/>
+<text x="359" y="48" font-size="13" font-weight="700" text-anchor="middle" fill="#0A4EA3">
+Mức 2 — Tra theo cấu trúc</text>
+<text x="359" y="70" font-size="11.5" text-anchor="middle" fill="#2B3542">GraphRAG: sơ đồ file,</text>
+<text x="359" y="86" font-size="11.5" text-anchor="middle" fill="#2B3542">lớp, hàm, quan hệ</text>
+<text x="359" y="110" font-size="11" text-anchor="middle" fill="#0A4EA3">AI tự tra — đang ở đây</text>
+<rect x="486" y="24" width="224" height="104" rx="8" fill="#F2F4F7" stroke="#CBD5E1"
+  stroke-dasharray="5 4"/>
+<text x="598" y="48" font-size="13" font-weight="700" text-anchor="middle" fill="#5A6675">
+Mức 3 — Tra theo ngữ nghĩa</text>
+<text x="598" y="70" font-size="11.5" text-anchor="middle" fill="#5A6675">Embedding + Vector DB</text>
+<text x="598" y="86" font-size="11.5" text-anchor="middle" fill="#5A6675">tìm theo nghĩa</text>
+<text x="598" y="110" font-size="11" text-anchor="middle" fill="#8A94A3">chưa có</text>
+</svg>
+<figcaption>Dự án đang ở mức 2. Mức 3 mới là RAG như trình bày ở phần đầu.</figcaption>
+</figure>
+<p>Cách nói an toàn khi bị hỏi vặn: <i>"Hiện tại là truy xuất theo cấu trúc, chưa phải truy xuất
+theo ngữ nghĩa. Phần trình bày hôm nay là kiến thức nền cho bước tiếp theo."</i></p>
+</div></div>
+
+<div class="qa" id="q19"><div class="q"><span class="n">19</span>
+"GraphRAG" của dự án có phải GraphRAG của Microsoft không?</div>
+<div class="a">
+<div class="note warn"><b>Câu này rất dễ bị hỏi và dễ gây hiểu nhầm — nên chủ động làm rõ trước.</b></div>
+<table>
+<tr><th></th><th>GraphRAG (Microsoft)</th><th>GraphRAG trong Cowork-Local</th></tr>
+<tr><td>Đồ thị chứa gì</td><td>Thực thể và quan hệ do <b>LLM trích</b> từ nội dung</td>
+<td>File, lớp, hàm và liên kết import</td></tr>
+<tr><td>Dựng bằng gì</td><td>Gọi LLM nhiều lượt, tốn chi phí</td>
+<td>Phân tích cú pháp mã nguồn, <b>không tốn phí gọi AI</b></td></tr>
+<tr><td>Trả lời câu hỏi</td><td>Đi theo quan hệ + tóm tắt theo cụm</td>
+<td>Đọc sơ đồ và nội dung file liên quan</td></tr>
+</table>
+<p><b>Cùng tên, khác bản chất.</b> Slide của bạn mô tả đúng cái thứ hai — "quét file, ghi nhận
+mỗi file có class/hàm gì và liên kết với file nào".</p>
+<p>Nói rõ điểm này lại là <b>lợi thế</b>: cách của dự án <i>rẻ và nhanh hơn nhiều</i> vì không
+phải gọi LLM để dựng đồ thị.</p>
+</div></div>
+
+<div class="qa" id="q20"><div class="q"><span class="n">20</span>
+Muốn nâng lên RAG đầy đủ thì cần làm gì?</div>
+<div class="a">
+<p>Bốn việc, xếp theo thứ tự nên làm:</p>
+<table>
+<tr><th>#</th><th>Việc</th><th>Quyết định phải chốt</th></tr>
+<tr><td>1</td><td>Chọn mô hình embedding</td>
+<td>Chạy nội bộ hay gọi API — quyết định này ràng buộc mọi thứ sau, và
+<b>đổi về sau là phải index lại toàn bộ</b></td></tr>
+<tr><td>2</td><td>Chia đoạn tài liệu</td>
+<td>Cắt theo cấu trúc (mục, điều, hàm) trước khi cắt theo độ dài</td></tr>
+<tr><td>3</td><td>Chọn nơi lưu vector</td>
+<td>Quy mô hiện tại chỉ cần FAISS hoặc <code>pgvector</code></td></tr>
+<tr><td>4</td><td>Dựng bộ câu hỏi đánh giá</td>
+<td>50–100 câu có đáp án đúng — <b>làm trước khi tối ưu</b></td></tr>
+</table>
+<div class="note ok"><b>Điểm mạnh sẵn có:</b> dự án đã có sẵn khái niệm <i>project</i> với
+thư mục riêng và phân tách dữ liệu theo project. Đó chính là ranh giới phân quyền tự nhiên
+cho câu 17 — thứ mà nhiều dự án phải làm lại từ đầu.</div>
+</div></div>
+
+<h2>Ba câu nên chuẩn bị sẵn câu trả lời</h2>
+<div class="note bad"><b>1. "RAG có hết bịa không?"</b> → Không, chỉ giảm. Nói thẳng và nêu
+cách giảm: bắt trích nguồn, cho phép trả lời "không tìm thấy".</div>
+<div class="note bad"><b>2. "GraphRAG này có phải GraphRAG kia không?"</b> → Không, cùng tên
+khác bản chất. Chủ động nói trước khi bị hỏi.</div>
+<div class="note bad"><b>3. "Vậy dự án đã có RAG chưa?"</b> → Chưa đủ. Đang ở mức truy xuất
+theo cấu trúc, chưa có truy xuất theo ngữ nghĩa.</div>
+
+</div>
+</body>
+</html>
diff --git a/docs/screens/controls.json b/docs/screens/controls.json
new file mode 100644
index 0000000..c405af3
--- /dev/null
+++ b/docs/screens/controls.json
@@ -0,0 +1,4208 @@
+[
+ {
+  "file": "ui\\accounts_tab.py",
+  "controls": [
+   {
+    "var": "self.user_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "account.username if account else ''",
+    "line": 108,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.name_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "account.display_name if account else ''",
+    "line": 111,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.email_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "account.email if account else ''",
+    "line": 113,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.dept_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "account.department if account else ''",
+    "line": 125,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "buttons",
+    "type": "QDialogButtonBox",
+    "kind": "nút hộp thoại",
+    "label": "QDialogButtonBox.Save | QDialogButtonBox.Cancel",
+    "line": 137,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.search_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "keyword",
+    "line": 176,
+    "signals": [
+     "textChanged → self._apply_tree_filter"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.ai_search_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('accounts.ai_search_btn')",
+    "line": 178,
+    "signals": [
+     "clicked → self._ai_search"
+    ],
+    "object_name": "",
+    "label_vi": "AI"
+   },
+   {
+    "var": "self.group_filter_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "",
+    "line": 188,
+    "signals": [
+     "currentIndexChanged → lambda _i: self._apply_tree_filter()"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.add_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('accounts.add_btn')",
+    "line": 202,
+    "signals": [
+     "clicked → self._add_account"
+    ],
+    "object_name": "",
+    "label_vi": "Thêm"
+   },
+   {
+    "var": "self.edit_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('accounts.edit_btn')",
+    "line": 205,
+    "signals": [
+     "clicked → self._edit_account"
+    ],
+    "object_name": "",
+    "label_vi": "Sửa"
+   },
+   {
+    "var": "self.del_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('accounts.delete_btn')",
+    "line": 208,
+    "signals": [
+     "clicked → self._delete_account"
+    ],
+    "object_name": "",
+    "label_vi": "Xóa"
+   },
+   {
+    "var": "self.code_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('accounts.generate_code_btn')",
+    "line": 211,
+    "signals": [
+     "clicked → self._regenerate_code"
+    ],
+    "object_name": "",
+    "label_vi": "Tạo mã"
+   },
+   {
+    "var": "self.group_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('accounts.new_group_btn')",
+    "line": 221,
+    "signals": [
+     "clicked → self._add_group"
+    ],
+    "object_name": "",
+    "label_vi": "Nhóm mới"
+   },
+   {
+    "var": "self.excel_template_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('accounts.excel_template_btn')",
+    "line": 230,
+    "signals": [
+     "clicked → self._export_excel_template"
+    ],
+    "object_name": "",
+    "label_vi": "Mẫu Excel"
+   },
+   {
+    "var": "self.excel_import_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('accounts.excel_import_btn')",
+    "line": 233,
+    "signals": [
+     "clicked → self._import_excel"
+    ],
+    "object_name": "",
+    "label_vi": "Nhập từ Excel"
+   },
+   {
+    "var": "self.period_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "",
+    "line": 251,
+    "signals": [
+     "currentIndexChanged → self.refresh"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.refresh_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('monitoring.refresh')",
+    "line": 256,
+    "signals": [
+     "clicked → self.refresh"
+    ],
+    "object_name": "",
+    "label_vi": "Làm mới"
+   },
+   {
+    "var": "self.usage_table",
+    "type": "QTableWidget",
+    "kind": "bảng",
+    "label": "0",
+    "line": 262,
+    "signals": [],
+    "object_name": ""
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\agent_manager_tab.py",
+  "controls": [
+   {
+    "var": "del_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('agentmgr.delete_btn')",
+    "line": 52,
+    "signals": [
+     "clicked → self._delete"
+    ],
+    "object_name": "",
+    "label_vi": "Xóa"
+   },
+   {
+    "var": "self.name_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "agent.name",
+    "line": 62,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.desc_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "agent.description",
+    "line": 63,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.provider_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "",
+    "line": 68,
+    "signals": [
+     "currentIndexChanged → self._reload_models"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self._gen_prompt_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('agentmgr.gen_prompt_btn')",
+    "line": 88,
+    "signals": [
+     "clicked → self._gen_prompt"
+    ],
+    "object_name": "",
+    "label_vi": "Tạo prompt từ mô tả"
+   },
+   {
+    "var": "new_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('agentmgr.new_btn')",
+    "line": 107,
+    "signals": [
+     "clicked → self._new_agent"
+    ],
+    "object_name": "",
+    "label_vi": "Agent mới"
+   },
+   {
+    "var": "save_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('agentmgr.save_btn')",
+    "line": 110,
+    "signals": [
+     "clicked → self._save"
+    ],
+    "object_name": "primary",
+    "label_vi": "Lưu agent"
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\agents_admin_tab.py",
+  "controls": [
+   {
+    "var": "self.name_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "agent.name if agent else ''",
+    "line": 55,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.prompt_edit",
+    "type": "QPlainTextEdit",
+    "kind": "ô nhập nhiều dòng",
+    "label": "agent.prompt if agent else ''",
+    "line": 65,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.provider_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "",
+    "line": 70,
+    "signals": [
+     "currentIndexChanged → self._refresh_model_combo"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.load_models_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('agents_admin.load_models_tooltip')",
+    "line": 89,
+    "signals": [
+     "clicked → self._load_live_models"
+    ],
+    "object_name": "",
+    "label_vi": "Lấy danh sách model thực tế của provider này để chọn từ dropdown."
+   },
+   {
+    "var": "self.enabled_chk",
+    "type": "QCheckBox",
+    "kind": "ô tick",
+    "label": "tr('agents_admin.f_enabled')",
+    "line": 98,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "Kích hoạt"
+   },
+   {
+    "var": "buttons",
+    "type": "QDialogButtonBox",
+    "kind": "nút hộp thoại",
+    "label": "QDialogButtonBox.Save | QDialogButtonBox.Cancel",
+    "line": 101,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.table",
+    "type": "QTableWidget",
+    "kind": "bảng",
+    "label": "0",
+    "line": 169,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.add_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('agents_admin.add_btn')",
+    "line": 178,
+    "signals": [
+     "clicked → self._add"
+    ],
+    "object_name": "primary",
+    "label_vi": "Thêm"
+   },
+   {
+    "var": "self.edit_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('agents_admin.edit_btn')",
+    "line": 182,
+    "signals": [
+     "clicked → self._edit"
+    ],
+    "object_name": "",
+    "label_vi": "Sửa"
+   },
+   {
+    "var": "self.del_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('agents_admin.delete_btn')",
+    "line": 185,
+    "signals": [
+     "clicked → self._delete"
+    ],
+    "object_name": "",
+    "label_vi": "Xóa"
+   },
+   {
+    "var": "self.check_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('agents_admin.check_btn')",
+    "line": 188,
+    "signals": [
+     "clicked → self._check_all"
+    ],
+    "object_name": "",
+    "label_vi": "Kiểm tra"
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\calendar_view.py",
+  "controls": [
+   {
+    "var": "self.add_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "'+'",
+    "line": 43,
+    "signals": [
+     "clicked → lambda: self.add_requested.emit(self._date_str)"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.list",
+    "type": "QListWidget",
+    "kind": "danh sách",
+    "label": "",
+    "line": 49,
+    "signals": [
+     "itemClicked → self._on_item_clicked"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.prev_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('schedtask.cal_prev')",
+    "line": 100,
+    "signals": [
+     "clicked → lambda: self._shift(-1)"
+    ],
+    "object_name": "",
+    "label_vi": "Trước"
+   },
+   {
+    "var": "self.today_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('schedtask.cal_today')",
+    "line": 103,
+    "signals": [
+     "clicked → self._go_today"
+    ],
+    "object_name": "",
+    "label_vi": "Hôm nay"
+   },
+   {
+    "var": "self.next_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('schedtask.cal_next')",
+    "line": 105,
+    "signals": [
+     "clicked → lambda: self._shift(1)"
+    ],
+    "object_name": "",
+    "label_vi": "Sau"
+   },
+   {
+    "var": "self.granularity_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "",
+    "line": 110,
+    "signals": [
+     "currentIndexChanged → self._on_granularity_changed"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "lst",
+    "type": "QListWidget",
+    "kind": "danh sách",
+    "label": "",
+    "line": 213,
+    "signals": [
+     "itemClicked → lambda item: self.show_month(self.anchor.year, item.data(Qt.UserRole))"
+    ],
+    "object_name": ""
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\chat_panel.py",
+  "controls": [
+   {
+    "var": "self.agent_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "tr('chatpanel.agent_tooltip')",
+    "line": 165,
+    "signals": [
+     "currentIndexChanged → self._on_agent_changed"
+    ],
+    "object_name": "",
+    "label_vi": "Model/agent riêng cho tab này — độc lập với tab kia"
+   },
+   {
+    "var": "self.compress_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('chatpanel.compress_btn')",
+    "line": 177,
+    "signals": [
+     "clicked → self._compress_messages"
+    ],
+    "object_name": "",
+    "label_vi": "Nén"
+   },
+   {
+    "var": "self._io_collapse_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('chatpanel.collapse_files_tooltip')",
+    "line": 239,
+    "signals": [
+     "clicked → lambda: self._set_io_collapsed(True)"
+    ],
+    "object_name": "",
+    "label_vi": "Thu gọn bảng Files"
+   }
+  ],
+  "menu_actions": [
+   {
+    "menu": "menu",
+    "label": "app_icon('link')",
+    "line": 439
+   },
+   {
+    "menu": "menu",
+    "label": "app_icon('edit')",
+    "line": 440
+   }
+  ]
+ },
+ {
+  "file": "ui\\chat_view.py",
+  "controls": [
+   {
+    "var": "self._head",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "title",
+    "line": 228,
+    "signals": [
+     "clicked → self._toggle_body"
+    ],
+    "object_name": ""
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\co4e_agent_dialog.py",
+  "controls": [
+   {
+    "var": "self.name_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "agent.name",
+    "line": 32,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.role_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "agent.role or 'AGENT'",
+    "line": 34,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.instructions_edit",
+    "type": "QPlainTextEdit",
+    "kind": "ô nhập nhiều dòng",
+    "label": "agent.instructions",
+    "line": 42,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.gen_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.ai_draft')",
+    "line": 46,
+    "signals": [
+     "clicked → self._ai_draft"
+    ],
+    "object_name": "",
+    "label_vi": "Soạn bằng AI"
+   },
+   {
+    "var": "self.context_edit",
+    "type": "QPlainTextEdit",
+    "kind": "ô nhập nhiều dòng",
+    "label": "getattr(agent, 'context', '')",
+    "line": 59,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.load_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.load_models_tooltip')",
+    "line": 68,
+    "signals": [
+     "clicked → self._load_models"
+    ],
+    "object_name": "",
+    "label_vi": "Tải danh sách model"
+   },
+   {
+    "var": "attach_add",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.attach_add')",
+    "line": 99,
+    "signals": [
+     "clicked → self._add_attachment"
+    ],
+    "object_name": "",
+    "label_vi": "Đính kèm tệp"
+   },
+   {
+    "var": "attach_del",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.attach_remove')",
+    "line": 102,
+    "signals": [
+     "clicked → self._del_attachment"
+    ],
+    "object_name": "",
+    "label_vi": "Bỏ"
+   },
+   {
+    "var": "buttons",
+    "type": "QDialogButtonBox",
+    "kind": "nút hộp thoại",
+    "label": "QDialogButtonBox.Save | QDialogButtonBox.Cancel",
+    "line": 113,
+    "signals": [],
+    "object_name": ""
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\co4e_canvas.py",
+  "controls": [],
+  "menu_actions": [
+   {
+    "menu": "menu",
+    "label": "'＋ Add next step'",
+    "line": 188
+   },
+   {
+    "menu": "menu",
+    "label": "'→ Connect from here'",
+    "line": 189
+   },
+   {
+    "menu": "menu",
+    "label": "'🗑 Delete step'",
+    "line": 190
+   },
+   {
+    "menu": "menu",
+    "label": "'🗑 Delete connection'",
+    "line": 368
+   }
+  ]
+ },
+ {
+  "file": "ui\\co4e_config_panel.py",
+  "controls": [
+   {
+    "var": "self.label_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "step.label",
+    "line": 44,
+    "signals": [
+     "textChanged → self._on_edit"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.role_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "step.role",
+    "line": 48,
+    "signals": [
+     "textChanged → self._on_edit"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.instructions_edit",
+    "type": "QPlainTextEdit",
+    "kind": "ô nhập nhiều dòng",
+    "label": "",
+    "line": 60,
+    "signals": [
+     "textChanged → self._on_edit"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.gen_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.ai_draft')",
+    "line": 63,
+    "signals": [
+     "clicked → self._ai_draft"
+    ],
+    "object_name": "",
+    "label_vi": "Soạn bằng AI"
+   },
+   {
+    "var": "self.context_edit",
+    "type": "QPlainTextEdit",
+    "kind": "ô nhập nhiều dòng",
+    "label": "tr('co4e.f_context_placeholder')",
+    "line": 77,
+    "signals": [
+     "textChanged → self._on_edit"
+    ],
+    "object_name": "",
+    "label_vi": "Thông tin/ngữ cảnh bổ sung cho agent hoặc step này (thêm vào prompt khi chạy)."
+   },
+   {
+    "var": "self.load_models_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.load_models_tooltip')",
+    "line": 87,
+    "signals": [
+     "clicked → self._load_models"
+    ],
+    "object_name": "",
+    "label_vi": "Tải danh sách model"
+   },
+   {
+    "var": "self.perm_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "",
+    "line": 97,
+    "signals": [
+     "currentIndexChanged → self._on_edit"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.verify_chk",
+    "type": "QCheckBox",
+    "kind": "ô tick",
+    "label": "tr('co4e.f_self_verify')",
+    "line": 104,
+    "signals": [
+     "toggled → self._on_edit"
+    ],
+    "object_name": "",
+    "label_vi": "Tự kiểm tra"
+   },
+   {
+    "var": "self.rounds_spin",
+    "type": "QSpinBox",
+    "kind": "ô số",
+    "label": "",
+    "line": 106,
+    "signals": [
+     "valueChanged → self._on_edit"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.attach_add_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.attach_add')",
+    "line": 125,
+    "signals": [
+     "clicked → self._add_attachment"
+    ],
+    "object_name": "",
+    "label_vi": "Đính kèm tệp"
+   },
+   {
+    "var": "self.attach_del_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.attach_remove')",
+    "line": 128,
+    "signals": [
+     "clicked → self._del_attachment"
+    ],
+    "object_name": "",
+    "label_vi": "Bỏ"
+   },
+   {
+    "var": "self.sub_list",
+    "type": "QListWidget",
+    "kind": "danh sách",
+    "label": "",
+    "line": 141,
+    "signals": [
+     "itemDoubleClicked → self._edit_subagent"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.sub_add_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.add_subagent')",
+    "line": 144,
+    "signals": [
+     "clicked → self._add_subagent"
+    ],
+    "object_name": "",
+    "label_vi": "Thêm"
+   },
+   {
+    "var": "self.sub_del_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.del_subagent')",
+    "line": 147,
+    "signals": [
+     "clicked → self._del_subagent"
+    ],
+    "object_name": "",
+    "label_vi": "Bỏ"
+   },
+   {
+    "var": "self.run_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.run')",
+    "line": 159,
+    "signals": [
+     "clicked → lambda: self.run_node.emit(self._node_id)"
+    ],
+    "object_name": "",
+    "label_vi": "Chạy"
+   },
+   {
+    "var": "self.run_from_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.run_from_here')",
+    "line": 163,
+    "signals": [
+     "clicked → lambda: self.run_from.emit(self._node_id)"
+    ],
+    "object_name": "",
+    "label_vi": "Chạy từ đây"
+   },
+   {
+    "var": "self.del_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.delete_step')",
+    "line": 166,
+    "signals": [
+     "clicked → lambda: self.delete_node.emit(self._node_id)"
+    ],
+    "object_name": "danger",
+    "label_vi": "Xóa bước"
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\co4e_tab.py",
+  "controls": [
+   {
+    "var": "self._popup",
+    "type": "QListWidget",
+    "kind": "danh sách",
+    "label": "",
+    "line": 144,
+    "signals": [
+     "itemClicked → lambda _i: self._accept()"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "'×'",
+    "line": 341,
+    "signals": [
+     "clicked → lambda: self._close_flow_tab_button(btn)"
+    ],
+    "object_name": "flowTabClose"
+   },
+   {
+    "var": "self.wf_runbg_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.run_bg')",
+    "line": 459,
+    "signals": [
+     "clicked → self._run_selected_in_background"
+    ],
+    "object_name": "",
+    "label_vi": "Chạy"
+   },
+   {
+    "var": "self.ag_new_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.new')",
+    "line": 476,
+    "signals": [
+     "clicked → self._new_agent"
+    ],
+    "object_name": "",
+    "label_vi": "Mới"
+   },
+   {
+    "var": "self.sk_manage_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.manage_skills')",
+    "line": 493,
+    "signals": [
+     "clicked → self._manage_skills"
+    ],
+    "object_name": "",
+    "label_vi": "Quản lý skill…"
+   },
+   {
+    "var": "b",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr(tip_key)",
+    "line": 502,
+    "signals": [
+     "clicked → slot"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.flow_bar",
+    "type": "QTabBar",
+    "kind": "dải tab",
+    "label": "",
+    "line": 556,
+    "signals": [
+     "currentChanged → self._on_flow_tab_changed",
+     "tabCloseRequested → self._close_flow_tab"
+    ],
+    "object_name": "flowTabs"
+   },
+   {
+    "var": "self.flow_add_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "'＋'",
+    "line": 582,
+    "signals": [
+     "clicked → self._new_workflow"
+    ],
+    "object_name": "flowAddBtn"
+   },
+   {
+    "var": "self.name_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "self._wf.name",
+    "line": 631,
+    "signals": [
+     "textChanged → self._on_name_changed"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.add_step_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.add')",
+    "line": 636,
+    "signals": [
+     "clicked → self._add_blank_step"
+    ],
+    "object_name": "",
+    "label_vi": "Thêm"
+   },
+   {
+    "var": "self.save_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.save')",
+    "line": 639,
+    "signals": [
+     "clicked → lambda: self._save(as_template=False)"
+    ],
+    "object_name": "primary",
+    "label_vi": "Lưu"
+   },
+   {
+    "var": "self.mode_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "tr('co4e.tt_mode')",
+    "line": 645,
+    "signals": [
+     "currentIndexChanged → self._on_mode_changed"
+    ],
+    "object_name": "",
+    "label_vi": "Auto = mỗi bước tự lập kế hoạch rồi chạy · Plan = chỉ lập kế hoạch (chỉ đọc) · Manual = từng bước (bấm Bước tiếp)"
+   },
+   {
+    "var": "self.run_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.run')",
+    "line": 650,
+    "signals": [
+     "clicked → self._on_run_clicked"
+    ],
+    "object_name": "primary",
+    "label_vi": "Chạy"
+   },
+   {
+    "var": "self.ws_folder_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "short",
+    "line": 693,
+    "signals": [
+     "clicked → self._open_workspace_folder"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.run_stop_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.stop')",
+    "line": 701,
+    "signals": [
+     "clicked → self._stop_selected_run"
+    ],
+    "object_name": "danger",
+    "label_vi": "Dừng"
+   },
+   {
+    "var": "self.run_rename_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.rename_run')",
+    "line": 706,
+    "signals": [
+     "clicked → self._rename_selected_run"
+    ],
+    "object_name": "",
+    "label_vi": "Đổi tên"
+   },
+   {
+    "var": "self.run_del_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.delete_run')",
+    "line": 710,
+    "signals": [
+     "clicked → self._delete_selected_run"
+    ],
+    "object_name": "",
+    "label_vi": "Xóa"
+   },
+   {
+    "var": "self.run_clear_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.clear_done')",
+    "line": 714,
+    "signals": [
+     "clicked → lambda: self.manager.clear_finished()"
+    ],
+    "object_name": "",
+    "label_vi": "Xóa đã xong"
+   },
+   {
+    "var": "self.runs_table",
+    "type": "QTableWidget",
+    "kind": "bảng",
+    "label": "0",
+    "line": 722,
+    "signals": [
+     "itemDoubleClicked → self._open_run_from_table",
+     "customContextMenuRequested → self._runs_context_menu"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.config_toggle_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.tt_collapse_config')",
+    "line": 747,
+    "signals": [
+     "clicked → self._toggle_config"
+    ],
+    "object_name": "",
+    "label_vi": "Thu gọn bảng cấu hình"
+   },
+   {
+    "var": "self.chat_toggle_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.tt_expand_msgs')",
+    "line": 841,
+    "signals": [
+     "clicked → self._toggle_messages"
+    ],
+    "object_name": "msgToggle",
+    "label_vi": "Mở rộng khung tin nhắn"
+   },
+   {
+    "var": "self.chat_send_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('co4e.send')",
+    "line": 873,
+    "signals": [
+     "clicked → self._chat_send"
+    ],
+    "object_name": "",
+    "label_vi": "Gửi"
+   }
+  ],
+  "menu_actions": [
+   {
+    "menu": "menu",
+    "label": "icon('edit')",
+    "line": 1014
+   },
+   {
+    "menu": "menu",
+    "label": "icon('edit')",
+    "line": 1015
+   },
+   {
+    "menu": "menu",
+    "label": "icon('branch')",
+    "line": 1016
+   },
+   {
+    "menu": "menu",
+    "label": "icon('play')",
+    "line": 1017
+   },
+   {
+    "menu": "menu",
+    "label": "icon('trash')",
+    "line": 1018
+   },
+   {
+    "menu": "menu",
+    "label": "tr('co4e.open_run')",
+    "line": 1400,
+    "label_vi": "Mở flow"
+   },
+   {
+    "menu": "menu",
+    "label": "tr('co4e.open_output')",
+    "line": 1404,
+    "label_vi": "Mở thư mục output"
+   },
+   {
+    "menu": "menu",
+    "label": "tr('co4e.rename_run')",
+    "line": 1405,
+    "label_vi": "Đổi tên"
+   },
+   {
+    "menu": "menu",
+    "label": "tr('co4e.delete_run')",
+    "line": 1406,
+    "label_vi": "Xóa"
+   }
+  ]
+ },
+ {
+  "file": "ui\\composer.py",
+  "controls": [
+   {
+    "var": "self.queue_list",
+    "type": "QListWidget",
+    "kind": "danh sách",
+    "label": "tr('composer.queue_tooltip')",
+    "line": 406,
+    "signals": [
+     "itemDoubleClicked → self._remove_queue_item"
+    ],
+    "object_name": "",
+    "label_vi": "Nhấp đúp để xoá một tin nhắn khỏi hàng đợi"
+   },
+   {
+    "var": "self.attach_list",
+    "type": "QListWidget",
+    "kind": "danh sách",
+    "label": "tr('composer.attachments_tooltip')",
+    "line": 420,
+    "signals": [
+     "itemDoubleClicked → self._remove_attachment"
+    ],
+    "object_name": "",
+    "label_vi": "Bấm trên thẻ để gỡ tệp đính kèm nhầm"
+   },
+   {
+    "var": "self.attach_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "''",
+    "line": 443,
+    "signals": [
+     "clicked → self._pick_attachments"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.send_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('composer.queue_btn') if self._busy else tr('composer.send')",
+    "line": 446,
+    "signals": [
+     "clicked → self._on_submit"
+    ],
+    "object_name": "primary"
+   },
+   {
+    "var": "self.stop_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('composer.stop')",
+    "line": 450,
+    "signals": [
+     "clicked → self.stop_requested.emit"
+    ],
+    "object_name": "danger",
+    "label_vi": "Dừng"
+   },
+   {
+    "var": "remove",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('composer.remove_tooltip')",
+    "line": 599,
+    "signals": [
+     "clicked → lambda _=False, path=p: self._remove_attachment_path(path)"
+    ],
+    "object_name": "danger",
+    "label_vi": "Gỡ tệp này (đính kèm nhầm)"
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\connectors_panel.py",
+  "controls": [
+   {
+    "var": "self.paste",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "tr('connectors.jira_paste_placeholder')",
+    "line": 42,
+    "signals": [
+     "textChanged → self._on_paste"
+    ],
+    "object_name": "",
+    "label_vi": "Dán bất kỳ link Jira nào — tự điền Base URL"
+   },
+   {
+    "var": "self.url",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "jira.get('base_url', '')",
+    "line": 46,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.email",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "jira.get('email', '')",
+    "line": 48,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.token",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "jira.get('api_token', '')",
+    "line": 49,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.test_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('connectors.jira_test')",
+    "line": 58,
+    "signals": [
+     "clicked → self._test"
+    ],
+    "object_name": "",
+    "label_vi": "Kiểm tra kết nối"
+   },
+   {
+    "var": "self.save_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('connectors.jira_save')",
+    "line": 60,
+    "signals": [
+     "clicked → self._save_close"
+    ],
+    "object_name": "primary",
+    "label_vi": "Lưu"
+   },
+   {
+    "var": "self.connect_external_chk",
+    "type": "QCheckBox",
+    "kind": "ô tick",
+    "label": "tr('connectors.connect_external')",
+    "line": 133,
+    "signals": [
+     "toggled → self._on_connect_external_toggled"
+    ],
+    "object_name": "",
+    "label_vi": "Kết nối tới connector bên ngoài"
+   },
+   {
+    "var": "self.ext_tree",
+    "type": "QTreeWidget",
+    "kind": "cây",
+    "label": "",
+    "line": 144,
+    "signals": [
+     "itemDoubleClicked → lambda *_: self._ext_edit()"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.add_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('settings.ext_add_btn')",
+    "line": 155,
+    "signals": [
+     "clicked → self._ext_add"
+    ],
+    "object_name": "primary",
+    "label_vi": "Thêm connector…"
+   },
+   {
+    "var": "self.edit_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('settings.ext_edit_btn')",
+    "line": 159,
+    "signals": [
+     "clicked → self._ext_edit"
+    ],
+    "object_name": "",
+    "label_vi": "Sửa"
+   },
+   {
+    "var": "self.del_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('settings.ext_delete_btn')",
+    "line": 162,
+    "signals": [
+     "clicked → self._ext_delete"
+    ],
+    "object_name": "",
+    "label_vi": "Xóa"
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\cowork_tab.py",
+  "controls": [
+   {
+    "var": "self.skills_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('cowork.skills_btn')",
+    "line": 30,
+    "signals": [
+     "clicked → self._open_skills_manager"
+    ],
+    "object_name": "",
+    "label_vi": "Skills"
+   },
+   {
+    "var": "self._new_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('cowork.new_chat')",
+    "line": 34,
+    "signals": [
+     "clicked → self.new_session"
+    ],
+    "object_name": "",
+    "label_vi": "Cuộc trò chuyện mới"
+   },
+   {
+    "var": "self.folder_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('cowork.pick_folder_btn')",
+    "line": 48,
+    "signals": [
+     "clicked → self._pick_output_folder"
+    ],
+    "object_name": "",
+    "label_vi": "Thư mục Local…"
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\dashboard_tab.py",
+  "controls": [
+   {
+    "var": "self.chart_prev_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('dashboard.chart_prev')",
+    "line": 59,
+    "signals": [
+     "clicked → self._chart_prev"
+    ],
+    "object_name": "",
+    "label_vi": "Kỳ trước"
+   },
+   {
+    "var": "self.chart_next_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('dashboard.chart_next')",
+    "line": 67,
+    "signals": [
+     "clicked → self._chart_next"
+    ],
+    "object_name": "",
+    "label_vi": "Kỳ sau"
+   },
+   {
+    "var": "self.gran_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "",
+    "line": 71,
+    "signals": [
+     "currentIndexChanged → self._on_gran_changed"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.metric_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "",
+    "line": 75,
+    "signals": [
+     "currentIndexChanged → self._refresh_chart"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.currency_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "tr('dashboard.currency_tooltip')",
+    "line": 84,
+    "signals": [
+     "currentIndexChanged → self._on_currency_changed"
+    ],
+    "object_name": "",
+    "label_vi": "Tiền tệ hiển thị (tỉ giá USD→VND/JPY cố định, sửa được trong config)."
+   },
+   {
+    "var": "self.refresh_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "''",
+    "line": 91,
+    "signals": [
+     "clicked → self.refresh"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.ai_analyze_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('dashboard.ai_analyze_btn')",
+    "line": 145,
+    "signals": [
+     "clicked → self._ai_analyze"
+    ],
+    "object_name": "",
+    "label_vi": "AI phân tích"
+   },
+   {
+    "var": "self.apply_strategy_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('dashboard.strategy_btn')",
+    "line": 150,
+    "signals": [
+     "clicked → self._apply_saving_strategy"
+    ],
+    "object_name": "",
+    "label_vi": "Áp dụng chiến lược tiết kiệm"
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\ext_connector_dialog.py",
+  "controls": [
+   {
+    "var": "self.preset_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "",
+    "line": 35,
+    "signals": [
+     "currentIndexChanged → self._apply_preset"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.name_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "connector.get('name', '')",
+    "line": 43,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.mode_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "",
+    "line": 47,
+    "signals": [
+     "currentIndexChanged → lambda i: self.stack.setCurrentIndex(self.mode_combo.currentData() != 'mcp_stdio')"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.command_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "connector.get('command', '')",
+    "line": 59,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.args_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "' '.join(connector.get('args', []) or [])",
+    "line": 62,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.base_url_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "connector.get('base_url', '')",
+    "line": 69,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.api_key_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "connector.get('api_key', '')",
+    "line": 72,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.auth_header_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "connector.get('auth_header', 'Authorization')",
+    "line": 75,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.auth_scheme_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "connector.get('auth_scheme', 'Bearer')",
+    "line": 77,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "test_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('ext.test_btn')",
+    "line": 90,
+    "signals": [
+     "clicked → self._test_connection"
+    ],
+    "object_name": "",
+    "label_vi": "Kiểm tra kết nối"
+   },
+   {
+    "var": "buttons",
+    "type": "QDialogButtonBox",
+    "kind": "nút hộp thoại",
+    "label": "QDialogButtonBox.Save | QDialogButtonBox.Cancel",
+    "line": 103,
+    "signals": [],
+    "object_name": ""
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\file_edit_dialog.py",
+  "controls": [
+   {
+    "var": "self.path_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "str(p)",
+    "line": 66,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.browse_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('fileedit.browse_tooltip')",
+    "line": 68,
+    "signals": [
+     "clicked → self._browse"
+    ],
+    "object_name": "",
+    "label_vi": "Mở file khác…"
+   },
+   {
+    "var": "self.reload_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('fileedit.reload_tooltip')",
+    "line": 73,
+    "signals": [
+     "clicked → self._reload"
+    ],
+    "object_name": "",
+    "label_vi": "Tải lại từ đĩa"
+   },
+   {
+    "var": "self.editor",
+    "type": "QPlainTextEdit",
+    "kind": "ô nhập nhiều dòng",
+    "label": "tr('fileedit.pick_hint')",
+    "line": 84,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "Mở một file để xem hoặc chỉnh sửa."
+   },
+   {
+    "var": "self.instruction_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "tr('fileedit.instruction_placeholder')",
+    "line": 94,
+    "signals": [
+     "returnPressed → self._ai_edit"
+    ],
+    "object_name": "",
+    "label_vi": "Nói cho AI cách sửa file này (vd: 'sửa lỗi chính tả', 'dịch sang tiếng Anh')…"
+   },
+   {
+    "var": "self.ai_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('fileedit.ai_btn')",
+    "line": 97,
+    "signals": [
+     "clicked → self._ai_edit"
+    ],
+    "object_name": "",
+    "label_vi": "Sửa bằng AI"
+   },
+   {
+    "var": "self.save_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('fileedit.save_btn')",
+    "line": 106,
+    "signals": [
+     "clicked → self._save"
+    ],
+    "object_name": "primary",
+    "label_vi": "Lưu"
+   },
+   {
+    "var": "self.close_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('fileedit.close_btn')",
+    "line": 110,
+    "signals": [
+     "clicked → self.reject"
+    ],
+    "object_name": "",
+    "label_vi": "Đóng"
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\flow_dialog.py",
+  "controls": [
+   {
+    "var": "self.tabs",
+    "type": "QTabWidget",
+    "kind": "dải tab",
+    "label": "",
+    "line": 50,
+    "signals": [
+     "currentChanged → lambda _i: self._reload_agent_picker()",
+     "currentChanged → lambda _i: self._reload_skill_combo()"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.tpl_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "",
+    "line": 57,
+    "signals": [
+     "activated → self._load_selected_template"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "tpl_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('flow.load_builtin')",
+    "line": 60,
+    "signals": [
+     "clicked → self._load_builtin"
+    ],
+    "object_name": "",
+    "label_vi": "Tải template Req→Demo"
+   },
+   {
+    "var": "new_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('flow.new')",
+    "line": 63,
+    "signals": [
+     "clicked → self._new_flow"
+    ],
+    "object_name": "",
+    "label_vi": "Mới"
+   },
+   {
+    "var": "del_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('flow.delete_template')",
+    "line": 66,
+    "signals": [
+     "clicked → self._delete_template"
+    ],
+    "object_name": "",
+    "label_vi": "Xóa template"
+   },
+   {
+    "var": "self.name_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "flow.name",
+    "line": 75,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.desc_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "flow.description",
+    "line": 76,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "up",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "'↑'",
+    "line": 91,
+    "signals": [
+     "clicked → lambda: self._move(-1)"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "down",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "'↓'",
+    "line": 93,
+    "signals": [
+     "clicked → lambda: self._move(1)"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "rm",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('flow.remove_stage')",
+    "line": 95,
+    "signals": [
+     "clicked → self._remove_step"
+    ],
+    "object_name": "",
+    "label_vi": "Xóa bước"
+   },
+   {
+    "var": "self.step_name",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "step.name",
+    "line": 107,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.step_hint",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "step.hint",
+    "line": 108,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.step_agent",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "",
+    "line": 115,
+    "signals": [
+     "currentIndexChanged → self._reload_step_models"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self._gen_prompt_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('flow.gen_task_from_hint')",
+    "line": 129,
+    "signals": [
+     "clicked → self._gen_prompt"
+    ],
+    "object_name": "",
+    "label_vi": "Tạo task từ gợi ý"
+   },
+   {
+    "var": "self.attach_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('flow.attach_files')",
+    "line": 144,
+    "signals": [
+     "clicked → self._pick_attachments"
+    ],
+    "object_name": "",
+    "label_vi": "Đính kèm file…"
+   },
+   {
+    "var": "self.compact_chk",
+    "type": "QCheckBox",
+    "kind": "ô tick",
+    "label": "tr('flow.compact_after_run')",
+    "line": 150,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "Compact after run (nén sau khi chạy)"
+   },
+   {
+    "var": "self.verify_chk",
+    "type": "QCheckBox",
+    "kind": "ô tick",
+    "label": "tr('flow.self_verify')",
+    "line": 153,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "Self-verify trước khi bàn giao"
+   },
+   {
+    "var": "self.retries_spin",
+    "type": "QSpinBox",
+    "kind": "ô số",
+    "label": "tr('flow.review_retries_tooltip')",
+    "line": 156,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "Nếu tự kiểm tra thấy chưa hoàn thành, chạy lại bước này tối đa số lần này (0 = tắt)"
+   },
+   {
+    "var": "self.sub_name_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "tr('flow.subagent_name_placeholder')",
+    "line": 173,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "Tên (vd backend)"
+   },
+   {
+    "var": "self.sub_prompt_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "tr('flow.subagent_task_placeholder')",
+    "line": 175,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "Nhiệm vụ của sub-agent này (tùy chọn — bỏ trống thì dùng task của bước)"
+   },
+   {
+    "var": "sub_add",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('flow.subagent_add')",
+    "line": 177,
+    "signals": [
+     "clicked → self._add_subagent"
+    ],
+    "object_name": "",
+    "label_vi": "Thêm"
+   },
+   {
+    "var": "sub_remove",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('flow.subagent_remove')",
+    "line": 180,
+    "signals": [
+     "clicked → self._remove_subagent"
+    ],
+    "object_name": "",
+    "label_vi": "Xóa"
+   },
+   {
+    "var": "agent_add",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('flow.subagent_add_from_agent')",
+    "line": 194,
+    "signals": [
+     "clicked → self._add_subagent_from_agent"
+    ],
+    "object_name": "",
+    "label_vi": "Thêm từ Agent"
+   },
+   {
+    "var": "add_step",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('flow.add_stage')",
+    "line": 207,
+    "signals": [
+     "clicked → self._add_step"
+    ],
+    "object_name": "primary",
+    "label_vi": "Thêm bước"
+   },
+   {
+    "var": "upd_step",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('flow.update_stage')",
+    "line": 211,
+    "signals": [
+     "clicked → self._update_step"
+    ],
+    "object_name": "",
+    "label_vi": "Cập nhật bước"
+   },
+   {
+    "var": "save_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('flow.save_template')",
+    "line": 231,
+    "signals": [
+     "clicked → self._save_template"
+    ],
+    "object_name": "",
+    "label_vi": "Lưu làm template"
+   },
+   {
+    "var": "run_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('flow.run')",
+    "line": 234,
+    "signals": [
+     "clicked → self._run"
+    ],
+    "object_name": "primary",
+    "label_vi": "Chạy flow"
+   },
+   {
+    "var": "close_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('flow.close')",
+    "line": 238,
+    "signals": [
+     "clicked → self.reject"
+    ],
+    "object_name": "",
+    "label_vi": "Đóng"
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\folder_tab.py",
+  "controls": [
+   {
+    "var": "self.path_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "self._root",
+    "line": 265,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self._open_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('folder.open_folder')",
+    "line": 267,
+    "signals": [
+     "clicked → self._pick_root"
+    ],
+    "object_name": "primary",
+    "label_vi": "Mở thư mục"
+   },
+   {
+    "var": "self.mode_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('folder.edit') if not self.mode_btn.isChecked() else tr('folder.preview')",
+    "line": 299,
+    "signals": [
+     "clicked → self._toggle_edit_mode"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.ai_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('folder.ai_edit')",
+    "line": 304,
+    "signals": [
+     "clicked → self._toggle_ai_panel"
+    ],
+    "object_name": "",
+    "label_vi": "AI Edit"
+   },
+   {
+    "var": "self.save_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('folder.save')",
+    "line": 309,
+    "signals": [
+     "clicked → self._save"
+    ],
+    "object_name": "primary",
+    "label_vi": "Lưu"
+   },
+   {
+    "var": "self.ext_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('folder.open_external')",
+    "line": 315,
+    "signals": [
+     "clicked → self._open_external"
+    ],
+    "object_name": "",
+    "label_vi": "Mở bằng app ngoài"
+   },
+   {
+    "var": "table",
+    "type": "QTableWidget",
+    "kind": "bảng",
+    "label": "len(rows)",
+    "line": 534,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.ai_input",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "tr('folder.ai_placeholder')",
+    "line": 736,
+    "signals": [
+     "returnPressed → self._ai_send"
+    ],
+    "object_name": "",
+    "label_vi": "Mô tả chỉnh sửa… (vd: thêm xử lý lỗi)"
+   },
+   {
+    "var": "self.ai_send_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('folder.ai_send')",
+    "line": 740,
+    "signals": [
+     "clicked → self._ai_send"
+    ],
+    "object_name": "primary",
+    "label_vi": "Gửi"
+   },
+   {
+    "var": "self._ai_discard_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('folder.ai_discard')",
+    "line": 752,
+    "signals": [
+     "clicked → self._ai_discard"
+    ],
+    "object_name": "",
+    "label_vi": "Hủy"
+   },
+   {
+    "var": "self._ai_apply_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('folder.ai_apply')",
+    "line": 755,
+    "signals": [
+     "clicked → self._ai_apply"
+    ],
+    "object_name": "primary",
+    "label_vi": "Áp dụng"
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\help_agent_widget.py",
+  "controls": [
+   {
+    "var": "self.edge_tab",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "self",
+    "line": 169,
+    "signals": [
+     "clicked → self._show_launcher"
+    ],
+    "object_name": "helpEdgeTab"
+   },
+   {
+    "var": "self.collapse_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "self",
+    "line": 178,
+    "signals": [
+     "clicked → self._hide_to_edge"
+    ],
+    "object_name": "helpCollapseBtn"
+   },
+   {
+    "var": "self.min_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "header",
+    "line": 214,
+    "signals": [
+     "clicked → self._collapse"
+    ],
+    "object_name": "helpMinBtn"
+   },
+   {
+    "var": "self.input",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "row",
+    "line": 236,
+    "signals": [
+     "returnPressed → self._send"
+    ],
+    "object_name": "helpInput"
+   },
+   {
+    "var": "self.send_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "row",
+    "line": 241,
+    "signals": [
+     "clicked → self._send"
+    ],
+    "object_name": "helpSendBtn"
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\icons.py",
+  "controls": [],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\icons_admin_tab.py",
+  "controls": [
+   {
+    "var": "self.search",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "tr('icons_admin.search')",
+    "line": 43,
+    "signals": [
+     "textChanged → self._reload_builtin"
+    ],
+    "object_name": "",
+    "label_vi": "Tìm icon có sẵn…"
+   },
+   {
+    "var": "self.add_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('icons_admin.add')",
+    "line": 58,
+    "signals": [
+     "clicked → self._add_icon"
+    ],
+    "object_name": "",
+    "label_vi": "Thêm tệp SVG"
+   },
+   {
+    "var": "self.paste_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('icons_admin.paste')",
+    "line": 60,
+    "signals": [
+     "clicked → self._add_from_svg_text"
+    ],
+    "object_name": "",
+    "label_vi": "Dán SVG"
+   },
+   {
+    "var": "self.del_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('icons_admin.delete')",
+    "line": 62,
+    "signals": [
+     "clicked → self._delete_icon"
+    ],
+    "object_name": "",
+    "label_vi": "Xóa tùy chỉnh"
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\libreoffice_view.py",
+  "controls": [
+   {
+    "var": "self._open_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('libreoffice.open_btn')",
+    "line": 97,
+    "signals": [
+     "clicked → self._open_external"
+    ],
+    "object_name": "primary",
+    "label_vi": "Mở bằng LibreOffice"
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\login_dialog.py",
+  "controls": [
+   {
+    "var": "exit_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('login.exit_btn')",
+    "line": 87,
+    "signals": [
+     "clicked → self.reject"
+    ],
+    "object_name": "",
+    "label_vi": "Thoát"
+   },
+   {
+    "var": "self.bs_dir_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "self.ctx.config.shared_dir",
+    "line": 121,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "browse_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('login.browse')",
+    "line": 122,
+    "signals": [
+     "clicked → self._bs_browse"
+    ],
+    "object_name": "",
+    "label_vi": "Chọn…"
+   },
+   {
+    "var": "create_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('login.create_admin')",
+    "line": 137,
+    "signals": [
+     "clicked → self._bs_create_admin"
+    ],
+    "object_name": "primary",
+    "label_vi": "Tạo tài khoản Admin"
+   },
+   {
+    "var": "self.code_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "cached_code",
+    "line": 186,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.department_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "self.ctx.config.auth.get('last_department', '')",
+    "line": 199,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "login_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('login.login_btn')",
+    "line": 209,
+    "signals": [
+     "clicked → lambda: self._do_login(shared_dir)"
+    ],
+    "object_name": "primary",
+    "label_vi": "Đăng nhập"
+   },
+   {
+    "var": "offline_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('login.offline_btn', role=role)",
+    "line": 256,
+    "signals": [
+     "clicked → lambda: self._finish_login(Account(username=username, role=role, code=''))"
+    ],
+    "object_name": "primary"
+   },
+   {
+    "var": "retry_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('login.retry_btn')",
+    "line": 263,
+    "signals": [
+     "clicked → self._retry"
+    ],
+    "object_name": "",
+    "label_vi": "Thử lại"
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\mcp_servers_dialog.py",
+  "controls": [
+   {
+    "var": "self.name",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "server.get('name', '')",
+    "line": 25,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.command",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "server.get('command', '')",
+    "line": 30,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.args",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "' '.join(server.get('args', []) or [])",
+    "line": 35,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "buttons",
+    "type": "QDialogButtonBox",
+    "kind": "nút hộp thoại",
+    "label": "QDialogButtonBox.Save | QDialogButtonBox.Cancel",
+    "line": 39,
+    "signals": [],
+    "object_name": ""
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\monitoring_tab.py",
+  "controls": [
+   {
+    "var": "self.refresh_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('monitoring.refresh')",
+    "line": 149,
+    "signals": [
+     "clicked → self.refresh"
+    ],
+    "object_name": "",
+    "label_vi": "Làm mới"
+   },
+   {
+    "var": "self.status_table",
+    "type": "QTableWidget",
+    "kind": "bảng",
+    "label": "0",
+    "line": 175,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "search",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "tr('monitoring.filter_placeholder')",
+    "line": 347,
+    "signals": [
+     "textChanged → table.apply_filter"
+    ],
+    "object_name": "",
+    "label_vi": "Lọc dòng (hoặc gõ câu hỏi rồi bấm )…"
+   },
+   {
+    "var": "ai_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('monitoring.ai_filter_btn')",
+    "line": 350,
+    "signals": [
+     "clicked → lambda: self._ai_filter(search, ai_btn)"
+    ],
+    "object_name": "",
+    "label_vi": "AI"
+   },
+   {
+    "var": "self.ov_pricing_ccy",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "",
+    "line": 486,
+    "signals": [
+     "currentIndexChanged → self._reload_pricing_table"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.ov_price_import_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('monitoring.pricing_import')",
+    "line": 496,
+    "signals": [
+     "clicked → self._import_pricing"
+    ],
+    "object_name": "",
+    "label_vi": "Nhập"
+   },
+   {
+    "var": "self.ov_price_export_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('monitoring.pricing_export')",
+    "line": 498,
+    "signals": [
+     "clicked → self._export_pricing"
+    ],
+    "object_name": "",
+    "label_vi": "Mẫu"
+   },
+   {
+    "var": "self.ov_price_add_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('monitoring.pricing_add')",
+    "line": 500,
+    "signals": [
+     "clicked → self._add_pricing_row"
+    ],
+    "object_name": "",
+    "label_vi": "Thêm"
+   },
+   {
+    "var": "self.ov_price_link_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('monitoring.pricing_autolink')",
+    "line": 502,
+    "signals": [
+     "clicked → self._autolink_pricing"
+    ],
+    "object_name": "",
+    "label_vi": "Tự lấy"
+   },
+   {
+    "var": "self.ov_price_del_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('monitoring.pricing_delete')",
+    "line": 504,
+    "signals": [
+     "clicked → self._delete_pricing_row"
+    ],
+    "object_name": "",
+    "label_vi": "Xóa"
+   },
+   {
+    "var": "self.ov_pricing_table",
+    "type": "QTableWidget",
+    "kind": "bảng",
+    "label": "0",
+    "line": 510,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.ov_sbx_edit_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('monitoring.overview_edit')",
+    "line": 547,
+    "signals": [
+     "clicked → self._open_settings_and_refresh"
+    ],
+    "object_name": "",
+    "label_vi": "Sửa"
+   },
+   {
+    "var": "self.ov_perm_edit_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('monitoring.overview_edit')",
+    "line": 573,
+    "signals": [
+     "clicked → self._open_settings_and_refresh"
+    ],
+    "object_name": "",
+    "label_vi": "Sửa"
+   },
+   {
+    "var": "self.ov_view_all_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('monitoring.overview_view_all')",
+    "line": 586,
+    "signals": [
+     "clicked → lambda: self.tabs.setCurrentIndex(self.tabs.indexOf(self.action_page))"
+    ],
+    "object_name": "",
+    "label_vi": "Xem tất cả"
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\osutil.py",
+  "controls": [],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\permission_dialog.py",
+  "controls": [],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\routing_toggle.py",
+  "controls": [
+   {
+    "var": "self._combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "tr('routing.toggle_tooltip')",
+    "line": 66,
+    "signals": [
+     "currentIndexChanged → self._on_changed"
+    ],
+    "object_name": "",
+    "label_vi": "Tự động định tuyến model cho khung chat này.\nTắt: luôn dùng model đã chọn.\nTự động: tự chuyển sang model phù hợp nhất.\nThủ công: hỏi xác nhận trước khi chuyển."
+   },
+   {
+    "var": "self._chk",
+    "type": "QCheckBox",
+    "kind": "ô tick",
+    "label": "tr('routing.autorun_label')",
+    "line": 133,
+    "signals": [
+     "toggled → self._on_toggled"
+    ],
+    "object_name": "",
+    "label_vi": "Tự chạy"
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\schedule_task_tab.py",
+  "controls": [
+   {
+    "var": "self.add_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('schedtask.add_btn')",
+    "line": 88,
+    "signals": [
+     "clicked → self._add_task"
+    ],
+    "object_name": "primary",
+    "label_vi": "Thêm Task"
+   },
+   {
+    "var": "self.ai_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('schedtask.ai_btn')",
+    "line": 92,
+    "signals": [
+     "clicked → self._ai_create"
+    ],
+    "object_name": "",
+    "label_vi": "AI tạo Task"
+   },
+   {
+    "var": "self.view_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "",
+    "line": 95,
+    "signals": [
+     "currentIndexChanged → self._on_view_changed"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.table",
+    "type": "QTableWidget",
+    "kind": "bảng",
+    "label": "len(runs)",
+    "line": 436,
+    "signals": [
+     "itemDoubleClicked → self._open_artifact"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "buttons",
+    "type": "QDialogButtonBox",
+    "kind": "nút hộp thoại",
+    "label": "QDialogButtonBox.Close",
+    "line": 461,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.workspace_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "tr('schedtask.hint_workspace')",
+    "line": 523,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "Project/workspace mà agent của task này sẽ chạy trong đó — áp dụng sandbox và hướng dẫn chung của project."
+   },
+   {
+    "var": "self.desc_edit",
+    "type": "QPlainTextEdit",
+    "kind": "ô nhập nhiều dòng",
+    "label": "tr('schedtask.ai_desc_ph')",
+    "line": 537,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "vd: Mỗi thứ 2 lúc 9h, dùng Code đọc dữ liệu CAE mới tạo báo cáo markdown, sau đó Cowork soạn email draft gửi team."
+   },
+   {
+    "var": "self.ai_files_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "tr('schedtask.files_placeholder')",
+    "line": 544,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "Đường dẫn tệp local, cách nhau bằng ;"
+   },
+   {
+    "var": "ai_pick_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('schedtask.pick_files')",
+    "line": 546,
+    "signals": [
+     "clicked → self._ai_pick_files"
+    ],
+    "object_name": "",
+    "label_vi": "Chọn tệp…"
+   },
+   {
+    "var": "self.ai_links_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "tr('schedtask.links_placeholder')",
+    "line": 553,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "https://…  các link, cách nhau bằng ;"
+   },
+   {
+    "var": "self.gen_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('schedtask.ai_generate')",
+    "line": 557,
+    "signals": [
+     "clicked → self._generate"
+    ],
+    "object_name": "primary",
+    "label_vi": "Tạo kế hoạch"
+   },
+   {
+    "var": "tpl_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('schedtask.export_template_btn')",
+    "line": 571,
+    "signals": [
+     "clicked → self._export_template"
+    ],
+    "object_name": "",
+    "label_vi": "Tạo template Excel…"
+   },
+   {
+    "var": "pick_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('schedtask.import_pick_btn')",
+    "line": 576,
+    "signals": [
+     "clicked → self._pick_import_file"
+    ],
+    "object_name": "",
+    "label_vi": "Chọn file…"
+   },
+   {
+    "var": "self.buttons",
+    "type": "QDialogButtonBox",
+    "kind": "nút hộp thoại",
+    "label": "QDialogButtonBox.Ok | QDialogButtonBox.Cancel",
+    "line": 592,
+    "signals": [],
+    "object_name": ""
+   }
+  ],
+  "menu_actions": [
+   {
+    "menu": "menu",
+    "label": "tr('schedtask.menu_run')",
+    "line": 309,
+    "label_vi": "Chạy ngay"
+   },
+   {
+    "menu": "menu",
+    "label": "tr('schedtask.menu_edit')",
+    "line": 310,
+    "label_vi": "Sửa task"
+   },
+   {
+    "menu": "menu",
+    "label": "tr('schedtask.menu_duplicate')",
+    "line": 311,
+    "label_vi": "Nhân bản task"
+   },
+   {
+    "menu": "menu",
+    "label": "tr('schedtask.menu_resume' if paused else 'schedtask.menu_pause')",
+    "line": 313
+   },
+   {
+    "menu": "menu",
+    "label": "tr('schedtask.menu_logs')",
+    "line": 314,
+    "label_vi": "Xem log"
+   },
+   {
+    "menu": "menu",
+    "label": "tr('schedtask.menu_history')",
+    "line": 315,
+    "label_vi": "Lịch sử chạy…"
+   },
+   {
+    "menu": "menu",
+    "label": "tr('schedtask.menu_create_next')",
+    "line": 316,
+    "label_vi": "Tạo task tiếp theo từ output"
+   },
+   {
+    "menu": "menu",
+    "label": "tr('schedtask.menu_delete')",
+    "line": 318,
+    "label_vi": "Xóa task"
+   },
+   {
+    "menu": "menu",
+    "label": "tr('schedtask.menu_delete_selected', n=len(selected))",
+    "line": 348
+   }
+  ]
+ },
+ {
+  "file": "ui\\settings_dialog.py",
+  "controls": [
+   {
+    "var": "self.tray_chk",
+    "type": "QCheckBox",
+    "kind": "ô tick",
+    "label": "tr('settings.tray_keep')",
+    "line": 56,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "Giữ chạy nền trong khay hệ thống khi đóng cửa sổ"
+   },
+   {
+    "var": "self.notify_chk",
+    "type": "QCheckBox",
+    "kind": "ô tick",
+    "label": "tr('settings.tray_notify')",
+    "line": 59,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "Hiện thông báo khay hệ thống khi tác vụ xong hoặc lỗi"
+   },
+   {
+    "var": "self.provider_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "",
+    "line": 70,
+    "signals": [
+     "currentIndexChanged → self._on_provider_edit_changed"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.prov_base",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "conf.get('base_url', '')",
+    "line": 77,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.sandbox_pw_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "''",
+    "line": 103,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.sandbox_unlock_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "'Unlock'",
+    "line": 107,
+    "signals": [
+     "clicked → self._sandbox_unlock"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.sandbox_confirm",
+    "type": "QCheckBox",
+    "kind": "ô tick",
+    "label": "tr('settings.sandbox_confirm_commands')",
+    "line": 121,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "Xác nhận trước khi Cowork chạy lệnh"
+   },
+   {
+    "var": "self.sandbox_block_network",
+    "type": "QCheckBox",
+    "kind": "ô tick",
+    "label": "tr('settings.sandbox_block_network')",
+    "line": 126,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "Chặn mạng cho lệnh do agent chạy"
+   },
+   {
+    "var": "self.sec_enabled",
+    "type": "QCheckBox",
+    "kind": "ô tick",
+    "label": "'Enable Agent Security (command validation)'",
+    "line": 136,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.ai_check",
+    "type": "QCheckBox",
+    "kind": "ô tick",
+    "label": "'AI check commands'",
+    "line": 142,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.attach_files",
+    "type": "QSpinBox",
+    "kind": "ô số",
+    "label": "tr('settings.max_files_tooltip')",
+    "line": 178,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "Số tệp tối đa đính kèm vào một tin nhắn."
+   },
+   {
+    "var": "self.attach_tokens",
+    "type": "QSpinBox",
+    "kind": "ô số",
+    "label": "tr('settings.max_per_file_tooltip')",
+    "line": 183,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "Giới hạn nội dung mỗi tệp đính kèm đưa vào prompt; phần vượt sẽ bị cắt (giảm token, tránh lỗi vượt context)."
+   },
+   {
+    "var": "self.struct_nodes",
+    "type": "QSpinBox",
+    "kind": "ô số",
+    "label": "tr('settings.nodes_tooltip')",
+    "line": 194,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "Giới hạn số node trong đồ thị Cấu trúc (0 = không giới hạn). Giá trị thấp hơn giúp quét/vẽ nhanh hơn với thư mục lớn."
+   },
+   {
+    "var": "self.struct_edges",
+    "type": "QSpinBox",
+    "kind": "ô số",
+    "label": "tr('settings.edges_tooltip')",
+    "line": 200,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "Giới hạn số cạnh trong đồ thị Cấu trúc (0 = không giới hạn)."
+   },
+   {
+    "var": "self.routing_judge",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "routing.get('judge_model', '')",
+    "line": 279,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.routing_reassess_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('routing.settings_reassess_now')",
+    "line": 282,
+    "signals": [
+     "clicked → self._routing_reassess_now"
+    ],
+    "object_name": "",
+    "label_vi": "Đánh giá lại ngay"
+   },
+   {
+    "var": "buttons",
+    "type": "QDialogButtonBox",
+    "kind": "nút hộp thoại",
+    "label": "QDialogButtonBox.Save | QDialogButtonBox.Cancel",
+    "line": 299,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "value",
+    "line": 316,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('settings.load')",
+    "line": 368,
+    "signals": [
+     "clicked → lambda: self._load_models(self.provider_combo.currentData(), combo, status)"
+    ],
+    "object_name": "",
+    "label_vi": "Tải"
+   },
+   {
+    "var": "test_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('settings.test_connection')",
+    "line": 374,
+    "signals": [
+     "clicked → lambda: self._test_connection(self.provider_combo.currentData(), status)"
+    ],
+    "object_name": "",
+    "label_vi": "Test kết nối"
+   },
+   {
+    "var": "code_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "code",
+    "line": 496,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "copy_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('settings.ms365_copy_code')",
+    "line": 503,
+    "signals": [
+     "clicked → lambda: QGuiApplication.clipboard().setText(code)"
+    ],
+    "object_name": "",
+    "label_vi": "Copy mã"
+   },
+   {
+    "var": "open_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('settings.ms365_open_link')",
+    "line": 506,
+    "signals": [
+     "clicked → lambda: webbrowser.open(flow.get('verification_uri_complete') or url)"
+    ],
+    "object_name": "",
+    "label_vi": "Mở link"
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\sidebar.py",
+  "controls": [
+   {
+    "var": "self._collapse_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('sidebar.collapse_tooltip')",
+    "line": 104,
+    "signals": [
+     "clicked → self.collapse_requested.emit"
+    ],
+    "object_name": "",
+    "label_vi": "Thu gọn bảng Lịch sử"
+   },
+   {
+    "var": "self.search_box",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "tr('sidebar.search_placeholder')",
+    "line": 119,
+    "signals": [
+     "textChanged → self.refresh",
+     "returnPressed → self.refresh"
+    ],
+    "object_name": "",
+    "label_vi": "Tìm theo tiêu đề hoặc nội dung…"
+   },
+   {
+    "var": "self.search_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "''",
+    "line": 123,
+    "signals": [
+     "clicked → self.refresh"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.tree",
+    "type": "QTreeWidget",
+    "kind": "cây",
+    "label": "",
+    "line": 132,
+    "signals": [
+     "itemClicked → self._on_item",
+     "customContextMenuRequested → self._context_menu"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self._refresh_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('sidebar.refresh')",
+    "line": 147,
+    "signals": [
+     "clicked → self.refresh_requested.emit"
+    ],
+    "object_name": "",
+    "label_vi": "Làm mới"
+   }
+  ],
+  "menu_actions": [
+   {
+    "menu": "menu",
+    "label": "tr('sidebar.menu.unpin') if pinned else tr('sidebar.menu.pin')",
+    "line": 305
+   },
+   {
+    "menu": "menu",
+    "label": "tr('sidebar.menu.rename')",
+    "line": 306,
+    "label_vi": "Đổi tên…"
+   },
+   {
+    "menu": "menu",
+    "label": "tr('sidebar.menu.delete')",
+    "line": 307,
+    "label_vi": "Xóa"
+   },
+   {
+    "menu": "menu",
+    "label": "tr('sidebar.menu.delete_selected', n=len(selected))",
+    "line": 332
+   }
+  ]
+ },
+ {
+  "file": "ui\\skill_manager_tab.py",
+  "controls": [
+   {
+    "var": "self._auto_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('skills.auto_generate')",
+    "line": 47,
+    "signals": [
+     "clicked → self._auto_generate"
+    ],
+    "object_name": "primary",
+    "label_vi": "Tự động tạo"
+   },
+   {
+    "var": "self._template_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('skills.from_template')",
+    "line": 52,
+    "signals": [
+     "clicked → self._from_template"
+    ],
+    "object_name": "",
+    "label_vi": "Từ file template…"
+   },
+   {
+    "var": "import_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('skills.import_btn')",
+    "line": 56,
+    "signals": [
+     "clicked → self._import"
+    ],
+    "object_name": "",
+    "label_vi": "Nhập…"
+   },
+   {
+    "var": "export_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('skills.export_btn')",
+    "line": 60,
+    "signals": [
+     "clicked → self._export_md"
+    ],
+    "object_name": "",
+    "label_vi": "Xuất .md"
+   },
+   {
+    "var": "dup_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('skills.duplicate_btn')",
+    "line": 64,
+    "signals": [
+     "clicked → self._duplicate"
+    ],
+    "object_name": "",
+    "label_vi": "Nhân bản"
+   },
+   {
+    "var": "edit_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('skills.edit_btn')",
+    "line": 68,
+    "signals": [
+     "clicked → self._edit"
+    ],
+    "object_name": "",
+    "label_vi": "Sửa"
+   },
+   {
+    "var": "del_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('skills.delete_btn')",
+    "line": 71,
+    "signals": [
+     "clicked → self._delete"
+    ],
+    "object_name": "",
+    "label_vi": "Xóa"
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\skills_dialog.py",
+  "controls": [
+   {
+    "var": "self.name",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "skill.name if skill else ''",
+    "line": 34,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.desc",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "skill.description if skill else ''",
+    "line": 39,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self._gen_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('skills.gen_from_desc')",
+    "line": 44,
+    "signals": [
+     "clicked → self._gen_instructions"
+    ],
+    "object_name": "",
+    "label_vi": "Tạo từ mô tả"
+   },
+   {
+    "var": "self.instr",
+    "type": "QPlainTextEdit",
+    "kind": "ô nhập nhiều dòng",
+    "label": "skill.instructions if skill else ''",
+    "line": 50,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "buttons",
+    "type": "QDialogButtonBox",
+    "kind": "nút hộp thoại",
+    "label": "QDialogButtonBox.Save | QDialogButtonBox.Cancel",
+    "line": 55,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self._auto_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('skills.auto_generate')",
+    "line": 127,
+    "signals": [
+     "clicked → self._auto_generate"
+    ],
+    "object_name": "primary",
+    "label_vi": "Tự động tạo"
+   },
+   {
+    "var": "self._template_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('skills.from_template')",
+    "line": 132,
+    "signals": [
+     "clicked → self._from_template"
+    ],
+    "object_name": "",
+    "label_vi": "Từ file template…"
+   },
+   {
+    "var": "import_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('skills.import_btn')",
+    "line": 136,
+    "signals": [
+     "clicked → self._import"
+    ],
+    "object_name": "",
+    "label_vi": "Nhập…"
+   },
+   {
+    "var": "export_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('skills.export_btn')",
+    "line": 140,
+    "signals": [
+     "clicked → self._export_md"
+    ],
+    "object_name": "",
+    "label_vi": "Xuất .md"
+   },
+   {
+    "var": "dup_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('skills.duplicate_btn')",
+    "line": 144,
+    "signals": [
+     "clicked → self._duplicate"
+    ],
+    "object_name": "",
+    "label_vi": "Nhân bản"
+   },
+   {
+    "var": "edit_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('skills.edit_btn')",
+    "line": 148,
+    "signals": [
+     "clicked → self._edit"
+    ],
+    "object_name": "",
+    "label_vi": "Sửa"
+   },
+   {
+    "var": "del_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('skills.delete_btn')",
+    "line": 151,
+    "signals": [
+     "clicked → self._delete"
+    ],
+    "object_name": "",
+    "label_vi": "Xóa"
+   },
+   {
+    "var": "close_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('skills.close_btn')",
+    "line": 154,
+    "signals": [
+     "clicked → self.accept"
+    ],
+    "object_name": "",
+    "label_vi": "Đóng"
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\spline_chart.py",
+  "controls": [],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\structure_graph_view.py",
+  "controls": [
+   {
+    "var": "self.path_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "str(ctx.config.cowork_output_dir())",
+    "line": 220,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self._pick_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('structure.browse')",
+    "line": 222,
+    "signals": [
+     "clicked → self._pick"
+    ],
+    "object_name": "primary",
+    "label_vi": "Browse…"
+   },
+   {
+    "var": "self.project_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "tr('structure.project_tooltip')",
+    "line": 226,
+    "signals": [
+     "currentIndexChanged → self._on_project_changed"
+    ],
+    "object_name": "",
+    "label_vi": "Khóa phạm vi quét vào đúng thư mục sandbox của 1 project — path chuyển sang chỉ đọc và khung hỏi-đáp Agent bên dưới sẽ theo Instructions chung của project đó (an toàn hơn, câu trả lời bám sát ngữ cảnh, giảm bịa đặt)."
+   },
+   {
+    "var": "self._scan_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('structure.scan')",
+    "line": 228,
+    "signals": [
+     "clicked → self._scan"
+    ],
+    "object_name": "primary",
+    "label_vi": "Scan"
+   },
+   {
+    "var": "self._msgs_toggle_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('structure.msgs_tooltip')",
+    "line": 242,
+    "signals": [
+     "clicked → self._toggle_messages"
+    ],
+    "object_name": "",
+    "label_vi": "Xem mọi message hội thoại nhóm theo ngày (dạng JSON)."
+   },
+   {
+    "var": "self._export_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('structure.export_png')",
+    "line": 248,
+    "signals": [
+     "clicked → self._export"
+    ],
+    "object_name": "primary",
+    "label_vi": "Xuất PNG"
+   },
+   {
+    "var": "self._msgs_view",
+    "type": "QTreeWidget",
+    "kind": "cây",
+    "label": "",
+    "line": 268,
+    "signals": [
+     "itemClicked → self._show_msg_json"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self._ag_collapse",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('structure.collapse_agent_tooltip')",
+    "line": 288,
+    "signals": [
+     "clicked → lambda: self._set_agent_collapsed(True)"
+    ],
+    "object_name": "",
+    "label_vi": "Thu gọn bảng Agent"
+   },
+   {
+    "var": "self.ask_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "tr('structure.ask_placeholder')",
+    "line": 299,
+    "signals": [
+     "returnPressed → self._ask"
+    ],
+    "object_name": "",
+    "label_vi": "vd. cái gì gọi hàm main? file nào định nghĩa class?"
+   },
+   {
+    "var": "self._ask_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('structure.ask')",
+    "line": 301,
+    "signals": [
+     "clicked → self._ask"
+    ],
+    "object_name": "primary",
+    "label_vi": "Hỏi"
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\task_editor_dialog.py",
+  "controls": [
+   {
+    "var": "self.title_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "self.task.get('title', '')",
+    "line": 96,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.desc_edit",
+    "type": "QPlainTextEdit",
+    "kind": "ô nhập nhiều dòng",
+    "label": "self.task.get('description', '')",
+    "line": 100,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.gen_desc_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "''",
+    "line": 102,
+    "signals": [
+     "clicked → self._gen_prompt_from_description"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.provider_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "",
+    "line": 135,
+    "signals": [
+     "currentIndexChanged → self._refresh_model_combo"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.load_models_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('schedtask.load_models_tooltip')",
+    "line": 147,
+    "signals": [
+     "clicked → self._load_live_models"
+    ],
+    "object_name": "",
+    "label_vi": "Tải danh sách model của provider này"
+   },
+   {
+    "var": "self.run_kind_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "tr('schedtask.hint_run_kind')",
+    "line": 170,
+    "signals": [
+     "currentIndexChanged → self._on_run_kind_changed"
+    ],
+    "object_name": "",
+    "label_vi": "AI agent = chạy một agent Cowork với model đã chọn. Co4E flow = chạy cả một flow node-graph đã lưu, tuần tự, trong sandbox."
+   },
+   {
+    "var": "self.flow_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "tr('schedtask.hint_flow')",
+    "line": 176,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "Flow Co4E đã lưu mà task này sẽ chạy (có sẵn hoặc của bạn)."
+   },
+   {
+    "var": "self.task_mode_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "tr('schedtask.hint_task_mode')",
+    "line": 188,
+    "signals": [
+     "currentIndexChanged → self._on_task_mode_changed"
+    ],
+    "object_name": "",
+    "label_vi": "Thông thường = chạy một lần (hoặc thủ công). Tự động = cronjob lặp theo lịch (ngày/tuần/tháng/cron). Chuyển sang Tự động sẽ hiện các tùy chọn lặp lại."
+   },
+   {
+    "var": "self.sched_enabled",
+    "type": "QCheckBox",
+    "kind": "ô tick",
+    "label": "tr('schedtask.sched_enable')",
+    "line": 217,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "Bật lịch chạy"
+   },
+   {
+    "var": "self.repeat_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "",
+    "line": 232,
+    "signals": [
+     "currentIndexChanged → self._on_repeat_changed"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.cron_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "sched.get('cron_expression') or ''",
+    "line": 238,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.cron_sample",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "tr('schedtask.cron_sample_tooltip')",
+    "line": 242,
+    "signals": [
+     "currentIndexChanged → self._on_cron_sample"
+    ],
+    "object_name": "",
+    "label_vi": "Chọn một lịch mẫu — sẽ điền đúng cú pháp vào ô cron."
+   },
+   {
+    "var": "self.working_days_chk",
+    "type": "QCheckBox",
+    "kind": "ô tick",
+    "label": "tr('schedtask.workdays_only')",
+    "line": 258,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "Chỉ ngày làm việc (bỏ T7/CN)"
+   },
+   {
+    "var": "self.skip_holidays_chk",
+    "type": "QCheckBox",
+    "kind": "ô tick",
+    "label": "tr('schedtask.skip_holidays')",
+    "line": 260,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "Bỏ qua ngày nghỉ lễ"
+   },
+   {
+    "var": "self.holiday_country_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "sched.get('holiday_country', 'VN') or 'VN'",
+    "line": 262,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.notify_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "",
+    "line": 274,
+    "signals": [
+     "currentIndexChanged → self._on_notify_changed"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.notify_email_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "ex_sched.get('notify_email', '') or ''",
+    "line": 280,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.manual_text",
+    "type": "QPlainTextEdit",
+    "kind": "ô nhập nhiều dòng",
+    "label": "inp.get('manual_text') or ''",
+    "line": 313,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.files_add_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "",
+    "line": 324,
+    "signals": [
+     "clicked → self._add_files"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.files_del_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "",
+    "line": 328,
+    "signals": [
+     "clicked → lambda: self._remove_selected(self.files_list)"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.links_add_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "",
+    "line": 349,
+    "signals": [
+     "clicked → self._add_link"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.links_del_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "",
+    "line": 353,
+    "signals": [
+     "clicked → lambda: self._remove_selected(self.links_list)"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.next_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "",
+    "line": 376,
+    "signals": [
+     "currentIndexChanged → self._check_chain"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.pass_output_chk",
+    "type": "QCheckBox",
+    "kind": "ô tick",
+    "label": "tr('schedtask.pass_output')",
+    "line": 385,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "Dùng output task này làm input task sau"
+   },
+   {
+    "var": "self.approval_chk",
+    "type": "QCheckBox",
+    "kind": "ô tick",
+    "label": "tr('schedtask.requires_approval')",
+    "line": 421,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "Cần phê duyệt (không tự chạy theo lịch; chờ bấm Chạy ngay)"
+   },
+   {
+    "var": "buttons",
+    "type": "QDialogButtonBox",
+    "kind": "nút hộp thoại",
+    "label": "QDialogButtonBox.Save | QDialogButtonBox.Cancel",
+    "line": 430,
+    "signals": [],
+    "object_name": ""
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\terminal_panel.py",
+  "controls": [
+   {
+    "var": "self._toggle_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('terminal.expand_tooltip') if self._collapsed else tr('terminal.collapse_tooltip')",
+    "line": 85,
+    "signals": [
+     "clicked → self.toggle"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.output",
+    "type": "QPlainTextEdit",
+    "kind": "ô nhập nhiều dòng",
+    "label": "",
+    "line": 105,
+    "signals": [],
+    "object_name": "termOutput"
+   },
+   {
+    "var": "self._run_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('terminal.run')",
+    "line": 130,
+    "signals": [
+     "clicked → self._run_current"
+    ],
+    "object_name": "primary",
+    "label_vi": "Chạy"
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\tools_admin_tab.py",
+  "controls": [
+   {
+    "var": "chk",
+    "type": "QCheckBox",
+    "kind": "ô tick",
+    "label": "",
+    "line": 32,
+    "signals": [
+     "toggled → on_toggle"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.table",
+    "type": "QTableWidget",
+    "kind": "bảng",
+    "label": "0",
+    "line": 57,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.test_internet_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('settings.test_internet')",
+    "line": 72,
+    "signals": [
+     "clicked → self._test_internet"
+    ],
+    "object_name": "",
+    "label_vi": "Kiểm tra Internet"
+   },
+   {
+    "var": "self.refresh_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('tools_admin.refresh')",
+    "line": 80,
+    "signals": [
+     "clicked → self.refresh"
+    ],
+    "object_name": "",
+    "label_vi": "Làm mới"
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\widgets.py",
+  "controls": [
+   {
+    "var": "self.header",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "f'{arrow} {self._title} ({self._count})'",
+    "line": 254,
+    "signals": [
+     "toggled → self._toggle",
+     "toggled → self._toggle"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.list",
+    "type": "QListWidget",
+    "kind": "danh sách",
+    "label": "",
+    "line": 261,
+    "signals": [
+     "itemClicked → self._emit"
+    ],
+    "object_name": ""
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "ui\\workspace_tab.py",
+  "controls": [
+   {
+    "var": "self._proj_collapse_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('workspace.collapse_projects_tooltip')",
+    "line": 90,
+    "signals": [
+     "clicked → lambda: self._set_projects_collapsed(True)"
+    ],
+    "object_name": "",
+    "label_vi": "Thu gọn danh sách project"
+   },
+   {
+    "var": "self.project_list",
+    "type": "QListWidget",
+    "kind": "danh sách",
+    "label": "",
+    "line": 97,
+    "signals": [
+     "currentItemChanged → self._on_select"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self._new_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('workspace.new_project')",
+    "line": 101,
+    "signals": [
+     "clicked → self._create"
+    ],
+    "object_name": "primary",
+    "label_vi": "Project mới"
+   },
+   {
+    "var": "self._del_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('workspace.delete')",
+    "line": 105,
+    "signals": [
+     "clicked → self._delete"
+    ],
+    "object_name": "",
+    "label_vi": "Xóa"
+   },
+   {
+    "var": "self.tabs",
+    "type": "QTabWidget",
+    "kind": "dải tab",
+    "label": "",
+    "line": 129,
+    "signals": [
+     "currentChanged → self._on_tab_changed"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.name_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "project.name",
+    "line": 193,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.desc_edit",
+    "type": "QLineEdit",
+    "kind": "ô nhập",
+    "label": "project.description",
+    "line": 194,
+    "signals": [],
+    "object_name": ""
+   },
+   {
+    "var": "self.instr_edit",
+    "type": "QPlainTextEdit",
+    "kind": "ô nhập nhiều dòng",
+    "label": "tr('workspace.instructions_placeholder')",
+    "line": 203,
+    "signals": [],
+    "object_name": "",
+    "label_vi": "vd: \"Trả lời bằng tiếng Việt. Team đang xây tool báo cáo X; luôn theo quy tắc đặt tên …\""
+   },
+   {
+    "var": "self._browse_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('workspace.browse')",
+    "line": 211,
+    "signals": [
+     "clicked → self._pick_folder"
+    ],
+    "object_name": "",
+    "label_vi": "Đổi thư mục…"
+   },
+   {
+    "var": "self._open_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('workspace.open_folder')",
+    "line": 214,
+    "signals": [
+     "clicked → self._open_workspace"
+    ],
+    "object_name": "",
+    "label_vi": "Mở thư mục"
+   },
+   {
+    "var": "self._save_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('workspace.save')",
+    "line": 223,
+    "signals": [
+     "clicked → self._save"
+    ],
+    "object_name": "primary",
+    "label_vi": "Lưu project"
+   }
+  ],
+  "menu_actions": []
+ },
+ {
+  "file": "app.py",
+  "controls": [
+   {
+    "var": "self.nav",
+    "type": "QTreeWidget",
+    "kind": "cây",
+    "label": "",
+    "line": 175,
+    "signals": [
+     "currentItemChanged → lambda cur, _prev: self._navigate(cur)",
+     "itemClicked → self._on_nav_click"
+    ],
+    "object_name": "navrail"
+   },
+   {
+    "var": "self._nav_toggle_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('app.nav.menu_label')",
+    "line": 218,
+    "signals": [
+     "clicked → self._toggle_nav"
+    ],
+    "object_name": "navMenuBtn",
+    "label_vi": "MENU"
+   },
+   {
+    "var": "self.provider_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "",
+    "line": 559,
+    "signals": [
+     "currentIndexChanged → self._on_provider_changed"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.language_combo",
+    "type": "QComboBox",
+    "kind": "droplist",
+    "label": "",
+    "line": 568,
+    "signals": [
+     "currentIndexChanged → self._on_language_changed"
+    ],
+    "object_name": ""
+   },
+   {
+    "var": "self.settings_btn",
+    "type": "QPushButton",
+    "kind": "nút",
+    "label": "tr('app.settings')",
+    "line": 586,
+    "signals": [
+     "clicked → self._open_settings"
+    ],
+    "object_name": "",
+    "label_vi": "Cài đặt"
+   }
+  ],
+  "menu_actions": [
+   {
+    "menu": "menu",
+    "label": "self._tray_open_act",
+    "line": 329
+   },
+   {
+    "menu": "menu",
+    "label": "self._tray_quit_act",
+    "line": 330
+   },
+   {
+    "menu": "menu",
+    "label": "_icon(icon_name)",
+    "line": 625
+   }
+  ]
+ }
+]
\ No newline at end of file
diff --git a/docs/screens/dashboard-dark.png b/docs/screens/dashboard-dark.png
new file mode 100644
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diff --git a/docs/screens/manifest.json b/docs/screens/manifest.json
new file mode 100644
index 0000000..092a864
--- /dev/null
+++ b/docs/screens/manifest.json
@@ -0,0 +1,542 @@
+[
+  {
+    "slug": "dashboard",
+    "title": "Dashboard",
+    "theme": "dark",
+    "note": "ui/dashboard_tab.py:35",
+    "file": "screens/dashboard-dark.png",
+    "error": "",
+    "nav": "Dashboard",
+    "nav_expected": "Dashboard"
+  },
+  {
+    "slug": "schedule-kanban",
+    "title": "Schedule Task — Kanban",
+    "theme": "dark",
+    "note": "ui/schedule_task_tab.py:70",
+    "file": "screens/schedule-kanban-dark.png",
+    "error": "",
+    "nav": "Schedule Task",
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+    "note": "ui/folder_tab.py:238",
+    "file": "screens/workspace-folder-dark.png",
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+    "nav_expected": "Thư mục"
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+    "theme": "dark",
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+    "nav_expected": "GraphRAG"
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+    "note": "ui/monitoring_tab.py:132",
+    "file": "screens/monitoring-tổng-quan-dark.png",
+    "error": "",
+    "nav": "Tổng quan",
+    "nav_expected": "Tổng quan"
+  },
+  {
+    "slug": "monitoring-sự-kiện-bảo-mật",
+    "title": "Monitoring ▸ Sự kiện bảo mật",
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+    "file": "screens/monitoring-sự-kiện-bảo-mật-dark.png",
+    "error": "",
+    "nav": "Sự kiện bảo mật",
+    "nav_expected": "Sự kiện bảo mật"
+  },
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+    "slug": "monitoring-lịch-sử-gọi-mcp",
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+    "file": "screens/monitoring-lịch-sử-gọi-mcp-dark.png",
+    "error": "",
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+    "file": "screens/monitoring-nhật-ký-hành-động-dark.png",
+    "error": "",
+    "nav": "Nhật ký hành động",
+    "nav_expected": "Nhật ký hành động"
+  },
+  {
+    "slug": "monitoring-trạng-thái-agent",
+    "title": "Monitoring ▸ Trạng thái Agent",
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+    "file": "screens/monitoring-trạng-thái-agent-dark.png",
+    "error": "",
+    "nav": "Trạng thái Agent",
+    "nav_expected": "Trạng thái Agent"
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+  {
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+    "title": "Monitoring ▸ Agents Admin",
+    "theme": "dark",
+    "note": "ui/monitoring_tab.py:132",
+    "file": "screens/monitoring-agents-admin-dark.png",
+    "error": "",
+    "nav": "Agents Admin",
+    "nav_expected": "Agents Admin"
+  },
+  {
+    "slug": "monitoring-công-cụ",
+    "title": "Monitoring ▸ Công cụ",
+    "theme": "dark",
+    "note": "ui/monitoring_tab.py:132",
+    "file": "screens/monitoring-công-cụ-dark.png",
+    "error": "",
+    "nav": "Công cụ",
+    "nav_expected": "Công cụ"
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+    "slug": "monitoring-icon",
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+    "note": "ui/monitoring_tab.py:132",
+    "file": "screens/monitoring-icon-dark.png",
+    "error": "",
+    "nav": "Icon",
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+    "title": "Settings",
+    "theme": "dark",
+    "note": "ui/settings_dialog.py:26",
+    "file": "screens/dialog-settings-dark.png",
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+    "nav": "",
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+    "title": "Task Editor",
+    "theme": "dark",
+    "note": "ui/task_editor_dialog.py:55",
+    "file": "screens/dialog-task-editor-dark.png",
+    "error": "",
+    "nav": "",
+    "nav_expected": ""
+  },
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+    "slug": "dialog-skills",
+    "title": "Skills manager",
+    "theme": "dark",
+    "note": "ui/skills_dialog.py:108",
+    "file": "screens/dialog-skills-dark.png",
+    "error": "",
+    "nav": "",
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+    "title": "Skill editor",
+    "theme": "dark",
+    "note": "ui/skills_dialog.py:23",
+    "file": "screens/dialog-skill-edit-dark.png",
+    "error": "",
+    "nav": "",
+    "nav_expected": ""
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+    "slug": "dialog-file-edit",
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+    "theme": "dark",
+    "note": "ui/file_edit_dialog.py:50",
+    "file": "screens/dialog-file-edit-dark.png",
+    "error": "",
+    "nav": "",
+    "nav_expected": ""
+  },
+  {
+    "slug": "dialog-co4e-agent",
+    "title": "Co4E agent editor",
+    "theme": "dark",
+    "note": "ui/co4e_agent_dialog.py:23",
+    "file": "screens/dialog-co4e-agent-dark.png",
+    "error": "",
+    "nav": "",
+    "nav_expected": ""
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+    "slug": "dialog-ext-connector",
+    "title": "External connector",
+    "theme": "dark",
+    "note": "ui/ext_connector_dialog.py:23",
+    "file": "screens/dialog-ext-connector-dark.png",
+    "error": "",
+    "nav": "",
+    "nav_expected": ""
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+    "title": "Permission request",
+    "theme": "dark",
+    "note": "ui/permission_dialog.py:13",
+    "file": "screens/dialog-permission-dark.png",
+    "error": "",
+    "nav": "",
+    "nav_expected": ""
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+    "title": "Admin agent editor",
+    "theme": "dark",
+    "note": "ui/agents_admin_tab.py:35",
+    "file": "screens/dialog-agent-edit-dark.png",
+    "error": "",
+    "nav": "",
+    "nav_expected": ""
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+    "title": "Login (dead screen — not wired)",
+    "theme": "dark",
+    "note": "ui/login_dialog.py:57",
+    "file": "screens/dialog-login-dark.png",
+    "error": "",
+    "nav": "",
+    "nav_expected": ""
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+    "slug": "overlay-help-panel",
+    "title": "Help dock — expanded panel",
+    "theme": "dark",
+    "note": "ui/help_agent_widget.py:79",
+    "file": "screens/overlay-help-panel-dark.png",
+    "error": "",
+    "nav": "",
+    "nav_expected": ""
+  },
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+    "title": "Dashboard",
+    "theme": "light",
+    "note": "ui/dashboard_tab.py:35",
+    "file": "screens/dashboard-light.png",
+    "error": "",
+    "nav": "Dashboard",
+    "nav_expected": "Dashboard"
+  },
+  {
+    "slug": "schedule-kanban",
+    "title": "Schedule Task — Kanban",
+    "theme": "light",
+    "note": "ui/schedule_task_tab.py:70",
+    "file": "screens/schedule-kanban-light.png",
+    "error": "",
+    "nav": "Schedule Task",
+    "nav_expected": "Schedule Task"
+  },
+  {
+    "slug": "schedule-calendar",
+    "title": "Schedule Task — Calendar",
+    "theme": "light",
+    "note": "ui/calendar_view.py:88",
+    "file": "screens/schedule-calendar-light.png",
+    "error": "",
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+    "nav_expected": "Schedule Task"
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+    "slug": "workspace-project",
+    "title": "Workspace ▸ Project",
+    "theme": "light",
+    "note": "ui/workspace_tab.py:188",
+    "file": "screens/workspace-project-light.png",
+    "error": "",
+    "nav": "Workspace",
+    "nav_expected": "Workspace"
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+    "slug": "workspace-cowork",
+    "title": "Workspace ▸ Cowork",
+    "theme": "light",
+    "note": "ui/cowork_tab.py:21",
+    "file": "screens/workspace-cowork-light.png",
+    "error": "",
+    "nav": "Cowork",
+    "nav_expected": "Cowork"
+  },
+  {
+    "slug": "workspace-co4e",
+    "title": "Workspace ▸ Co4E",
+    "theme": "light",
+    "note": "ui/co4e_tab.py:228",
+    "file": "screens/workspace-co4e-light.png",
+    "error": "",
+    "nav": "Co4E",
+    "nav_expected": "Co4E"
+  },
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+    "slug": "workspace-folder",
+    "title": "Workspace ▸ Folder",
+    "theme": "light",
+    "note": "ui/folder_tab.py:238",
+    "file": "screens/workspace-folder-light.png",
+    "error": "",
+    "nav": "Thư mục",
+    "nav_expected": "Thư mục"
+  },
+  {
+    "slug": "workspace-graphrag",
+    "title": "Workspace ▸ GraphRAG",
+    "theme": "light",
+    "note": "ui/structure_graph_view.py:188",
+    "file": "screens/workspace-graphrag-light.png",
+    "error": "",
+    "nav": "GraphRAG",
+    "nav_expected": "GraphRAG"
+  },
+  {
+    "slug": "monitoring-tổng-quan",
+    "title": "Monitoring ▸ Tổng quan",
+    "theme": "light",
+    "note": "ui/monitoring_tab.py:132",
+    "file": "screens/monitoring-tổng-quan-light.png",
+    "error": "",
+    "nav": "Tổng quan",
+    "nav_expected": "Tổng quan"
+  },
+  {
+    "slug": "monitoring-sự-kiện-bảo-mật",
+    "title": "Monitoring ▸ Sự kiện bảo mật",
+    "theme": "light",
+    "note": "ui/monitoring_tab.py:132",
+    "file": "screens/monitoring-sự-kiện-bảo-mật-light.png",
+    "error": "",
+    "nav": "Sự kiện bảo mật",
+    "nav_expected": "Sự kiện bảo mật"
+  },
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+    "slug": "monitoring-lịch-sử-gọi-mcp",
+    "title": "Monitoring ▸ Lịch sử gọi MCP",
+    "theme": "light",
+    "note": "ui/monitoring_tab.py:132",
+    "file": "screens/monitoring-lịch-sử-gọi-mcp-light.png",
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+    "nav": "Lịch sử gọi MCP",
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+    "slug": "monitoring-nhật-ký-hành-động",
+    "title": "Monitoring ▸ Nhật ký hành động",
+    "theme": "light",
+    "note": "ui/monitoring_tab.py:132",
+    "file": "screens/monitoring-nhật-ký-hành-động-light.png",
+    "error": "",
+    "nav": "Nhật ký hành động",
+    "nav_expected": "Nhật ký hành động"
+  },
+  {
+    "slug": "monitoring-trạng-thái-agent",
+    "title": "Monitoring ▸ Trạng thái Agent",
+    "theme": "light",
+    "note": "ui/monitoring_tab.py:132",
+    "file": "screens/monitoring-trạng-thái-agent-light.png",
+    "error": "",
+    "nav": "Trạng thái Agent",
+    "nav_expected": "Trạng thái Agent"
+  },
+  {
+    "slug": "monitoring-agents-admin",
+    "title": "Monitoring ▸ Agents Admin",
+    "theme": "light",
+    "note": "ui/monitoring_tab.py:132",
+    "file": "screens/monitoring-agents-admin-light.png",
+    "error": "",
+    "nav": "Agents Admin",
+    "nav_expected": "Agents Admin"
+  },
+  {
+    "slug": "monitoring-công-cụ",
+    "title": "Monitoring ▸ Công cụ",
+    "theme": "light",
+    "note": "ui/monitoring_tab.py:132",
+    "file": "screens/monitoring-công-cụ-light.png",
+    "error": "",
+    "nav": "Công cụ",
+    "nav_expected": "Công cụ"
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+  {
+    "slug": "monitoring-icon",
+    "title": "Monitoring ▸ Icon",
+    "theme": "light",
+    "note": "ui/monitoring_tab.py:132",
+    "file": "screens/monitoring-icon-light.png",
+    "error": "",
+    "nav": "Icon",
+    "nav_expected": "Icon"
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+    "title": "Settings",
+    "theme": "light",
+    "note": "ui/settings_dialog.py:26",
+    "file": "screens/dialog-settings-light.png",
+    "error": "",
+    "nav": "",
+    "nav_expected": ""
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+    "slug": "dialog-task-editor",
+    "title": "Task Editor",
+    "theme": "light",
+    "note": "ui/task_editor_dialog.py:55",
+    "file": "screens/dialog-task-editor-light.png",
+    "error": "",
+    "nav": "",
+    "nav_expected": ""
+  },
+  {
+    "slug": "dialog-skills",
+    "title": "Skills manager",
+    "theme": "light",
+    "note": "ui/skills_dialog.py:108",
+    "file": "screens/dialog-skills-light.png",
+    "error": "",
+    "nav": "",
+    "nav_expected": ""
+  },
+  {
+    "slug": "dialog-skill-edit",
+    "title": "Skill editor",
+    "theme": "light",
+    "note": "ui/skills_dialog.py:23",
+    "file": "screens/dialog-skill-edit-light.png",
+    "error": "",
+    "nav": "",
+    "nav_expected": ""
+  },
+  {
+    "slug": "dialog-file-edit",
+    "title": "File view & AI edit",
+    "theme": "light",
+    "note": "ui/file_edit_dialog.py:50",
+    "file": "screens/dialog-file-edit-light.png",
+    "error": "",
+    "nav": "",
+    "nav_expected": ""
+  },
+  {
+    "slug": "dialog-co4e-agent",
+    "title": "Co4E agent editor",
+    "theme": "light",
+    "note": "ui/co4e_agent_dialog.py:23",
+    "file": "screens/dialog-co4e-agent-light.png",
+    "error": "",
+    "nav": "",
+    "nav_expected": ""
+  },
+  {
+    "slug": "dialog-ext-connector",
+    "title": "External connector",
+    "theme": "light",
+    "note": "ui/ext_connector_dialog.py:23",
+    "file": "screens/dialog-ext-connector-light.png",
+    "error": "",
+    "nav": "",
+    "nav_expected": ""
+  },
+  {
+    "slug": "dialog-permission",
+    "title": "Permission request",
+    "theme": "light",
+    "note": "ui/permission_dialog.py:13",
+    "file": "screens/dialog-permission-light.png",
+    "error": "",
+    "nav": "",
+    "nav_expected": ""
+  },
+  {
+    "slug": "dialog-agent-edit",
+    "title": "Admin agent editor",
+    "theme": "light",
+    "note": "ui/agents_admin_tab.py:35",
+    "file": "screens/dialog-agent-edit-light.png",
+    "error": "",
+    "nav": "",
+    "nav_expected": ""
+  },
+  {
+    "slug": "dialog-login",
+    "title": "Login (dead screen — not wired)",
+    "theme": "light",
+    "note": "ui/login_dialog.py:57",
+    "file": "screens/dialog-login-light.png",
+    "error": "",
+    "nav": "",
+    "nav_expected": ""
+  },
+  {
+    "slug": "overlay-help-panel",
+    "title": "Help dock — expanded panel",
+    "theme": "light",
+    "note": "ui/help_agent_widget.py:79",
+    "file": "screens/overlay-help-panel-light.png",
+    "error": "",
+    "nav": "",
+    "nav_expected": ""
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+]
\ No newline at end of file
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diff --git a/docs/screens/workspace-graphrag-dark.png b/docs/screens/workspace-graphrag-dark.png
new file mode 100644
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diff --git a/docs/ui-audit.html b/docs/ui-audit.html
new file mode 100644
index 0000000..e41dcd2
--- /dev/null
+++ b/docs/ui-audit.html
@@ -0,0 +1,1175 @@
+<!doctype html><html lang="vi"><head><meta charset="utf-8">
+<meta name="viewport" content="width=device-width,initial-scale=1">
+<title>CoworkLocal — Audit UI/UX</title><style>
+:root{--bg:#FFFFFF;--sf:#F8F8F8;--rz:#FFFFFF;--bd:#E5E5E5;--bds:#CECECE;--tx:#3B3B3B;--mut:#616161;--fnt:#6E6E6E;--ac:#005FB8;--nav:#F8F8F8;--navb:#E5E5E5;--navs:#E4E6F1;--ok:#317A2D;--warn:#8F6500;--bad:#CD3131;--r:4px}
+@media(prefers-color-scheme:dark){:root{--bg:#1F1F1F;--sf:#252526;--rz:#313131;--bd:#2B2B2B;--bds:#3C3C3C;--tx:#CCCCCC;--mut:#9D9D9D;--fnt:#9A9A9A;--ac:#4DAAFC;--nav:#181818;--navb:#2B2B2B;--navs:#04395E;--ok:#89D185;--warn:#CCA700;--bad:#F76464;--r:4px}}
+:root[data-theme=dark]{--bg:#1F1F1F;--sf:#252526;--rz:#313131;--bd:#2B2B2B;--bds:#3C3C3C;--tx:#CCCCCC;--mut:#9D9D9D;--fnt:#9A9A9A;--ac:#4DAAFC;--nav:#181818;--navb:#2B2B2B;--navs:#04395E;--ok:#89D185;--warn:#CCA700;--bad:#F76464;--r:4px}
+:root[data-theme=light]{--bg:#FFFFFF;--sf:#F8F8F8;--rz:#FFFFFF;--bd:#E5E5E5;--bds:#CECECE;--tx:#3B3B3B;--mut:#616161;--fnt:#6E6E6E;--ac:#005FB8;--nav:#F8F8F8;--navb:#E5E5E5;--navs:#E4E6F1;--ok:#317A2D;--warn:#8F6500;--bad:#CD3131;--r:4px}
+*{box-sizing:border-box}
+body{margin:0;background:var(--bg);color:var(--tx);
+font:14px/1.55 "Segoe UI Variable Text","Segoe UI",system-ui,sans-serif}
+.wrap{max-width:1180px;margin:0 auto;padding:0 24px 64px}
+header{padding:34px 0 16px;border-bottom:1px solid var(--bd);margin-bottom:20px}
+h1{font-size:25px;margin:0 0 8px;letter-spacing:-.02em}
+h2{font-size:19px;margin:38px 0 6px;padding-top:16px;border-top:1px solid var(--bd)}
+h3{font-size:15px;margin:20px 0 6px}
+p{margin:8px 0}.mut{color:var(--mut)}.fnt{color:var(--fnt)}
+code{font:13px "Cascadia Code",Consolas,monospace;background:var(--sf);
+border:1px solid var(--bd);border-radius:4px;padding:1px 5px}
+.note{background:var(--sf);border:1px solid var(--bd);border-left:3px solid var(--ac);
+border-radius:var(--r);padding:9px 13px;margin:10px 0;font-size:13px}
+.note.warn{border-left-color:var(--warn)}.note.bad{border-left-color:var(--bad)}
+.toc{background:var(--sf);border:1px solid var(--bd);border-radius:var(--r);padding:18px 22px}
+.toc ol{margin:6px 0;padding-left:22px;columns:2;column-gap:36px}
+.toc a{color:var(--tx);text-decoration:none}.toc a:hover{color:var(--ac);text-decoration:underline}
+.sec{border:1px solid var(--bd);border-radius:var(--r);margin:16px 0;overflow:hidden;background:var(--sf)}
+.sec>.hd{padding:10px 16px;border-bottom:1px solid var(--bd);display:flex;
+align-items:baseline;gap:10px;flex-wrap:wrap}
+.sec>.hd b{font-size:15px}.sec>.bd{padding:14px 16px}
+.tag{font-size:12px;padding:2px 8px;border-radius:4px;background:var(--bg);
+border:1px solid var(--bd);color:var(--mut)}
+.cap{font-size:11px;font-weight:600;letter-spacing:.06em;text-transform:uppercase;
+color:var(--fnt);margin:12px 0 5px}
+.shot{border:1px solid var(--bd);border-radius:var(--r);overflow:hidden;background:var(--bg)}
+.shot img{display:block;width:100%;height:auto}
+.miss{padding:26px;text-align:center;color:var(--bad);background:var(--bg);
+border:1px dashed var(--bad);border-radius:var(--r);font-size:14px}
+ul.pr{margin:4px 0;padding-left:18px;font-size:13px}ul.pr li{margin:3px 0}
+.lead{font-size:14px;color:var(--tx);margin:0 0 6px;max-width:92ch}
+p.rg{font-size:12.5px;color:var(--mut);margin:6px 0 0;line-height:1.55}
+p.rg b{color:var(--tx)}
+.cols{display:grid;grid-template-columns:1fr 1fr;gap:20px}
+.cols.pc{gap:16px;margin-top:10px}.cols.pc .cap{margin:0 0 4px}
+details.ctl{margin-top:12px;border:1px solid var(--bd);border-radius:var(--r);
+background:var(--bg)}
+details.ctl summary{padding:7px 12px;cursor:pointer;font-size:12.5px;color:var(--tx)}
+details.ctl[open] summary{border-bottom:1px solid var(--bd)}
+details.ctl table{margin:0;font-size:12px}
+details.ctl td,details.ctl th{padding:4px 10px}
+td.mv{color:var(--ac)}
+@media(max-width:900px){.cols{grid-template-columns:1fr}.toc ol{columns:1}}
+pre.tree{background:var(--bg);border:1px solid var(--bd);border-radius:var(--r);
+padding:16px;font:12.5px/1.65 "Cascadia Code",Consolas,monospace;overflow-x:auto;margin:0}
+table{width:100%;border-collapse:collapse;margin:10px 0;font-size:13px}
+th,td{text-align:left;padding:6px 10px;border-bottom:1px solid var(--bd);vertical-align:top}
+th{color:var(--mut);font-size:12px;text-transform:uppercase;letter-spacing:.05em}
+/* ---- wireframe vocabulary ---- */
+.wf{display:flex;height:570px;border:1px solid var(--bds);border-radius:var(--r);
+overflow:hidden;background:var(--bg);font-size:11px;position:relative}
+/* The rail must never crop: its bottom group is real navigation. */
+.wf .rail{overflow:visible}
+.wf .rail{width:150px;flex:none;background:var(--nav);border-right:1px solid var(--navb);
+padding:8px;display:flex;flex-direction:column;gap:3px}
+.wf .newbtn{background:var(--ac);color:#fff;border-radius:4px;padding:6px;text-align:center;
+font-weight:600}
+/* flex:none — inside the column rail this otherwise collapses to a sliver. */
+.wf .rpick{flex:none;background:var(--rz);border:1px solid var(--bds);border-radius:4px;
+padding:5px 7px;margin-bottom:5px;font-weight:600;display:flex;align-items:center;
+justify-content:space-between;gap:4px;line-height:1.3}
+.wf .rpick>span:first-child{overflow:hidden;text-overflow:ellipsis;white-space:nowrap}
+.wf .rpick .cv{color:var(--mut);font-weight:400;flex:none}
+.wf .rpick.empty{color:var(--fnt);font-weight:400;font-style:italic}
+.wf .i.off,.wf .newbtn.off{opacity:.45}
+.wf .newbtn.off{background:var(--bds);color:var(--tx)}
+.wf .hint{font-size:9px;color:var(--fnt);text-align:center;padding:2px 0 6px;font-style:italic}
+.wf .newbtn{flex:none}
+.wf .i{padding:5px 7px;border-radius:4px;color:var(--tx)}
+.wf .i.on{background:var(--navs);border-left:2px solid var(--ac);font-weight:600}
+.wf .i.sm{color:var(--mut);font-size:10px;padding:3px 7px}
+.wf .hd{font-size:9px;letter-spacing:.1em;color:var(--fnt);padding:4px 7px;font-weight:700}
+.wf .scope{font-size:10px;font-weight:600;color:var(--tx);padding:2px 7px 4px}
+.wf .i.allp{color:var(--ac);font-style:italic}
+.wf .sep{height:1px;background:var(--navb);margin:5px 0}
+.wf .acct{margin-top:6px;padding:6px 7px;border-top:1px solid var(--navb);
+color:var(--mut);font-size:10px;display:flex;align-items:center;gap:5px}
+.wf .acct .lang{margin-left:auto;background:var(--rz);border:1px solid var(--bds);
+border-radius:3px;padding:1px 5px;color:var(--tx);font-weight:600}
+.wf .acct .thm{font-size:11px}
+.wf .main,.wf .c{display:flex;flex-direction:column;gap:6px;padding:10px;flex:1;min-width:0}
+.wf .main.dlg{border:none}
+.wf .ttl{font-weight:700;font-size:13px;white-space:nowrap}
+/* Rows STRETCH by default so nested columns fill the height — `.tb` opts a
+   toolbar row back into vertical centring. Getting this backwards is what
+   collapsed every wireframe into a thin strip floating mid-panel. */
+.wf .r{display:flex;gap:6px;align-items:stretch;min-height:0}
+.wf .r.tb{align-items:center;flex:none}
+.wf .r.end{justify-content:flex-end}
+.wf .grow{flex:1;min-height:0}
+.wf .b{background:var(--sf);border:1px solid var(--bd);border-radius:4px;padding:6px 8px;min-height:22px}
+.wf .b.tall{min-height:70px}
+/* nowrap: a wrapped node graph reads as a broken diagram, not a flow */
+.wf .b.canvas{display:flex;align-items:center;justify-content:center;gap:5px;
+background:var(--rz);flex-wrap:nowrap;padding:12px;overflow:hidden}
+.wf .b.code{background:var(--rz);font-family:"Cascadia Code",Consolas,monospace;
+font-size:10px;line-height:1.7;overflow:hidden}
+.wf .b.chart{background:var(--rz);padding:8px;color:var(--ac);min-height:70px}
+.wf .b.chart svg{width:100%;height:100%;display:block}
+.wf .b.hero,.wf .b.kpi{display:flex;flex-direction:column;justify-content:center;
+font-weight:700}
+.wf .b.hero{flex:none;width:130px;font-size:20px;align-items:center;text-align:center}
+.wf .b.kpi{flex:1;font-size:14px}
+.wf .s{display:block;font-size:9.5px;font-weight:400;color:var(--fnt);margin-top:2px}
+.wf .lbl{color:var(--mut);font-size:10px}
+.wf .hd2{font-size:9px;letter-spacing:.09em;color:var(--fnt);font-weight:700;
+margin-top:2px}
+.wf .hd2.row{display:flex;align-items:center;justify-content:space-between}
+.wf .pchev{color:var(--mut);font-size:12px;font-weight:400}
+.wf .ghd{display:flex;align-items:center;gap:6px}
+.wf .gact{color:var(--ac);font-weight:600;font-size:9.5px;letter-spacing:0}
+.wf .b.tbl{padding:0;overflow:hidden}
+.wf .tr{display:flex;padding:3px 8px;border-bottom:1px solid var(--bd);gap:6px}
+.wf .tr:last-child{border-bottom:none}
+.wf .tr span{flex:1}.wf .tr span:first-child{flex:2.4}
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+.wf .ctr2{display:flex;align-items:center;justify-content:center}
+.wf .edge{background:var(--sf);border:1px solid var(--bds);border-right:none;
+border-radius:5px 0 0 5px;padding:14px 5px;color:var(--mut)}
+.wf .edge.wide{padding:14px 10px;font-weight:700;color:var(--tx)}
+.wf .mnu{align-self:flex-end;background:var(--rz);border:1px solid var(--bds);
+border-radius:5px;padding:3px;min-width:52%;box-shadow:0 3px 10px rgba(16,32,64,.14)}
+.wf .mi{padding:4px 8px;border-radius:3px}
+.wf .mi:nth-child(2){background:var(--navs);font-weight:600}
+/* Sparkle badge — the teal-tinted "AI" chip, same convention as the app's
+   existing ✨ AI buttons in Folder and Schedule. */
+/* The dock is anchored to the window corner — its position is unchanged. */
+.wf .main.anchor{position:relative}
+.wf .dock{position:absolute;right:10px;bottom:10px}
+.wf .dock.badgewrap{display:flex;align-items:center;gap:3px}
+.wf .dock .badge,.wf .dock.badge{background:#E6F6F4;border:1px solid #7FD0C4;
+border-radius:6px;padding:7px 11px;font-weight:700;color:#0F6E62;white-space:nowrap}
+/* "Ẩn vào cạnh phải" — a real button in the app, next to the launcher. */
+.wf .dock .chv{background:var(--sf);border:1px solid var(--bds);border-radius:4px;
+padding:6px 3px;color:var(--mut);font-size:11px;line-height:1}
+/* The proposed dot: 26px, no label, no neighbouring chevron. Drawn at the same
+   scale as the wireframe around it so the size claim is visible, not asserted. */
+.wf .dock.fab,.wf .fab{width:26px;height:26px;border-radius:50%;background:#E6F6F4;
+border:1px solid #7FD0C4;display:flex;align-items:center;justify-content:center;
+font-size:12px;box-shadow:0 2px 6px rgba(16,32,64,.14)}
+/* Hover / keyboard focus only — the label is never on screen at rest. */
+.wf .fabpill{display:inline-flex;align-items:center;gap:5px;background:#E6F6F4;
+border:1px solid #7FD0C4;border-radius:13px;padding:4px 11px 4px 5px;
+font-weight:700;color:#0F6E62;white-space:nowrap;box-shadow:0 2px 6px rgba(16,32,64,.14)}
+.wf .fabpill .fab{box-shadow:none;width:18px;height:18px;font-size:10px}
+/* Old vs new footprint, drawn to scale beside each other. */
+.wf .oldbox{width:42px;height:32px;border:1px dashed var(--bds);border-radius:4px;
+display:flex;align-items:center;justify-content:center;color:var(--fnt);font-size:9px}
+.wf .dock.pnl{width:74%;height:76%;background:var(--sf);border:1px solid var(--bds);
+border-radius:6px;box-shadow:0 3px 10px rgba(16,32,64,.13)}
+.wf .phdr{border-bottom:1px solid var(--bd);padding-bottom:5px;gap:5px}
+.wf .spark{color:#0F9B8A}
+.wf .pnl{display:flex;flex-direction:column;gap:5px;padding:8px}
+/* The rail's own MENU collapse control (150px <-> 54px in the app). */
+.wf .menutog{display:flex;align-items:center;justify-content:space-between;
+color:var(--fnt);font-size:9px;letter-spacing:.1em;font-weight:700;padding:2px 6px 6px}
+.wf .menutog .chev{font-size:13px;font-weight:400}
+.wf .rail.narrow{width:46px;align-items:center}
+.wf .rail.narrow .menutog{justify-content:center;padding:2px 0 6px}
+.wf .newbtn.ic,.wf .i.ic,.wf .acct.ic{text-align:center;padding:5px 0;width:100%}
+.wf .acct.ic{border-top:1px solid var(--navb)}
+.wf .w22{flex:none;width:22%}
+.wf .inp{background:var(--rz);border:1px solid var(--bds);border-radius:4px;
+padding:6px 8px;color:var(--tx);min-height:26px;overflow:hidden}
+.wf .inp.tall{min-height:52px}
+.wf .btn{background:var(--rz);border:1px solid var(--bds);border-radius:4px;
+padding:4px 9px;white-space:nowrap;align-self:center}
+.wf .btn.pri{background:var(--ac);color:#fff;border-color:transparent;font-weight:600}
+.wf .tab{padding:4px 10px;border-bottom:2px solid transparent;color:var(--mut);white-space:nowrap}
+.wf .tab.on{border-bottom-color:var(--ac);color:var(--tx);font-weight:600}
+.wf .stat{border-top:1px solid var(--bd);padding-top:5px;color:var(--fnt);
+font-size:10px;flex:none}
+/* Shared project picker — same spot on every project-scoped screen. */
+.wf .r.pb{border-bottom:1px solid var(--bd);padding-bottom:7px;margin-bottom:2px}
+.wf .pick{background:var(--navs);border:1px solid var(--navb);border-radius:4px;
+padding:4px 10px;font-weight:600;color:var(--tx)}
+.wf .pane{background:var(--sf);border:1px solid var(--bd);border-radius:4px;gap:3px}
+.wf .lane{background:var(--sf);border:1px solid var(--bd);border-radius:4px;padding:6px;gap:5px}
+.wf .lane.warn{border-color:var(--warn)}
+/* 7 lanes must fit without horizontal scrolling — that is the whole point. */
+.wf .k7{gap:4px}
+.wf .k7 .lane{padding:5px;gap:4px;min-width:0}
+.wf .k7 .card{font-size:10px;padding:4px 6px}
+.wf .k7 .hd2{font-size:8.5px}
+.tag.ok{color:var(--ok);border-color:var(--ok)}
+b.ok,span.ok{color:var(--ok)}b.bad,span.bad{color:var(--bad)}
+td.ok{color:var(--ok);white-space:nowrap}
+tr.grp td{background:var(--sf);font-weight:700;font-size:13px;
+border-bottom:1px solid var(--bds);padding-top:14px}
+.wf .li{padding:4px 7px;border-radius:4px;color:var(--tx);line-height:1.35}
+.wf .li.on{background:var(--navs);font-weight:600}
+.wf .card{background:var(--rz);border:1px solid var(--bd);border-radius:4px;
+padding:5px 7px;line-height:1.35}
+.wf .chat{gap:6px;padding:0}
+.wf .msg{border-radius:5px;padding:6px 9px;line-height:1.45;max-width:88%}
+.wf .msg.u{background:var(--navs);align-self:flex-end}
+.wf .msg.a{background:var(--sf);border:1px solid var(--bd)}
+.wf .node{background:var(--sf);border:1px solid var(--bds);border-radius:4px;
+padding:6px 8px;white-space:nowrap;font-size:10px;flex:none}
+.wf .node.ok{border-color:var(--ok);color:var(--ok)}
+.wf .node.run{border-color:var(--ac);color:var(--ac);font-weight:600}
+.wf .arw{color:var(--fnt)}
+.wf .diff{font-family:"Cascadia Code",Consolas,monospace;font-size:9.5px;
+line-height:1.7;background:var(--rz);border-radius:4px;padding:5px 7px}
+.wf .add{color:var(--ok)}.wf .del{color:var(--bad)}
+.wf .ok{color:var(--ok)}.wf .bad{color:var(--bad)}
+.wf .cm{color:var(--fnt)}.wf .kw{color:var(--ac)}.wf .fn{color:var(--warn)}
+.wf .w18{flex:none;width:18%}.wf .w24{flex:none;width:24%}
+.wf .w26{flex:none;width:26%}.wf .w28{flex:none;width:28%}.wf .w32{flex:none;width:32%}
+@media(max-width:760px){.wf{height:auto;flex-direction:column}.wf .rail{width:auto}}
+.tgl{position:fixed;top:16px;right:16px;z-index:9;background:var(--sf);color:var(--tx);
+border:1px solid var(--bds);border-radius:var(--r);padding:7px 13px;cursor:pointer;font-size:13px}
+.sw{display:inline-flex;border:1px solid var(--bds);border-radius:4px;overflow:hidden;margin-left:auto}
+.sw button{background:var(--bg);color:var(--mut);border:0;padding:3px 11px;cursor:pointer;font-size:12px}
+.sw button.on{background:var(--ac);color:#fff;font-weight:600}
+
+.embed{width:100%;height:760px;border:1px solid var(--bd);border-radius:var(--r);
+background:#fff;display:block}
+p.hint{margin:4px 0 8px}
+.wf .acct{margin-top:6px;padding:6px 7px;border-top:1px solid var(--navb);color:var(--mut);font-size:10px}
+padding:6px 8px;color:var(--tx);height:26px;box-sizing:border-box;overflow:hidden}
+.wf .inp.tall{min-height:52px;height:auto}
+padding:4px 9px;white-space:nowrap;align-self:center;height:26px;box-sizing:border-box;
+display:inline-flex;align-items:center;justify-content:center;line-height:1}
+/* ---- section-10 interactive-preview vocabulary: literal palette from 10SuKienBaoMat.html ---- */
+.wf .kpi2{flex:1;background:var(--rz);border:1px solid var(--bd);border-radius:6px;padding:7px 9px;display:flex;align-items:center;gap:7px;min-width:0}
+.wf .kpi2 b{font-size:15px;display:block;line-height:1.2}
+.wf .ic{width:20px;height:20px;border-radius:5px;flex:none;display:flex;align-items:center;justify-content:center;font-size:10px}
+.wf .ic.blue{background:#DEECF9;color:#0078D4}.wf .ic.grn{background:#DFF6DD;color:#107C10}
+.wf .ic.red{background:#FDE7E9;color:#D13438}.wf .ic.pur{background:#F3E8FD;color:#8764B8}
+.wf .ic.amb{background:#FFF4CE;color:#795548}.wf .ic.gry{background:#F3F2F1;color:#605E5C}
+.wf .pill{display:inline-block;padding:2px 8px;border-radius:99px;font-size:9px;font-weight:700;white-space:nowrap}
+.wf .pill.red{background:#FDE7E9;color:#D13438}.wf .pill.grn{background:#E4F7C7;color:#498205}
+.wf .pill.teal{background:#D2F0EE;color:#008272}.wf .pill.org{background:#FDE6D9;color:#DA3B01}
+.wf .pill.blue{background:#DEECF9;color:#0078D4}.wf .pill.amb{background:#FFF4CE;color:#795548}
+.wf .pill.pur{background:#F3E8FD;color:#8764B8}.wf .pill.gry{background:#F3F2F1;color:#605E5C}
+.wf .r.wrap{flex-wrap:wrap}
+.wf .av{display:inline-flex;width:16px;height:16px;border-radius:50%;flex:none;align-items:center;
+justify-content:center;font-size:7px;font-weight:700;color:#fff;margin-right:4px}
+.wf .av.red{background:#D13438}.wf .av.blue{background:#0078D4}
+.wf .av.pur{background:#8764B8}.wf .av.grn{background:#107C10}.wf .av.amb{background:#FFB900}
+.wf .av.teal{background:#008272}.wf .av.dark{background:#24292F}.wf .av.olv{background:#498205}
+.wf .tblwrap{overflow-y:auto;overflow-x:hidden}
+.wf .evtbl{width:100%;border-collapse:collapse;font-size:9.5px}
+.wf .evtbl thead{position:sticky;top:0;background:var(--bg)}
+.wf .evtbl th{text-align:left;padding:4px 6px;color:var(--fnt);font-weight:700;text-transform:uppercase;
+font-size:8px;letter-spacing:.04em;border-bottom:1px solid var(--bd);white-space:nowrap;cursor:default}
+.wf .evtbl td{padding:4px 6px;border-bottom:1px solid var(--bd);white-space:nowrap;vertical-align:middle}
+.wf .evtbl td.dt{white-space:normal;color:var(--fnt)}
+.wf .evtbl tbody tr{cursor:pointer}.wf .evtbl tbody tr:hover{background:var(--sf)}
+.wf .pane.hide{display:none}
+.wf .hide{display:none}
+/* ---- Settings field-display alternatives (toggle switch / stepper) ---- */
+.wf .tsw{display:inline-flex;align-items:center;width:32px;height:17px;border-radius:99px;
+background:var(--bds);position:relative;cursor:pointer;flex:none;transition:background .15s}
+.wf .tsw i{position:absolute;top:2px;left:2px;width:13px;height:13px;border-radius:50%;
+background:#fff;transition:left .15s;box-shadow:0 1px 2px rgba(0,0,0,.25)}
+.wf .tsw.on{background:var(--ac)}
+.wf .tsw.on i{left:17px}
+.wf .stp{display:inline-flex;align-items:center;border:1px solid var(--bds);border-radius:4px;
+overflow:hidden;height:26px;box-sizing:border-box;flex:none}
+.wf .stp .sb{width:22px;height:100%;display:flex;align-items:center;justify-content:center;
+background:var(--rz);cursor:pointer;font-weight:700;color:var(--tx);user-select:none}
+.wf .stp .sb:hover{background:var(--sf)}
+.wf .stp .sv{padding:0 10px;min-width:44px;text-align:center;font-weight:600;background:var(--bg);
+height:100%;display:flex;align-items:center;justify-content:center;
+border-left:1px solid var(--bds);border-right:1px solid var(--bds)}
+.wf .frow{display:flex;align-items:center;gap:6px;min-height:0;padding:2px 0}
+.wf .seg{display:inline-flex;border:1px solid var(--bds);border-radius:4px;overflow:hidden;flex:none}
+.wf .seg span{background:var(--bg);color:var(--mut);padding:3px 10px;cursor:pointer;font-size:10px;white-space:nowrap}
+.wf .seg span.on{background:var(--ac);color:#fff;font-weight:600}
+.wf .pane.overlay{position:absolute;top:0;right:0;bottom:0;width:38%;z-index:5;
+background:var(--bg);border-left:1px solid var(--bd);box-shadow:-6px 0 14px rgba(0,0,0,.18)}
+.wf .dtl{padding:2px 0 0}
+.wf .dtl.grow{overflow-y:auto}
+.wf .pnlfoot{border-top:1px solid var(--bd);flex:none;padding-top:6px}
+#s10close{cursor:pointer}
+#s11close{cursor:pointer}
+.wf .dtl .hd3{font-size:8px;font-weight:700;text-transform:uppercase;letter-spacing:.05em;color:var(--fnt);
+padding-bottom:3px;margin:8px 0 3px;border-bottom:1px solid var(--bd)}
+.wf .dtl .hd3:first-child{margin-top:0}
+.wf .dtl .fld{display:flex;justify-content:space-between;align-items:center;padding:3px 0;gap:6px}
+.wf .dtl .fld .lbl{color:var(--mut)}
+.wf .dtl .fld .val{font-weight:600;text-align:right}
+.wf .dtl .mono{font-family:"Cascadia Code",Consolas,monospace;background:var(--sf);border:1px solid var(--bd);
+border-radius:3px;padding:1px 6px;font-size:9px;font-weight:400}
+.wf .dtl .tagn{background:var(--sf);border-radius:3px;padding:1px 7px;font-size:9px;font-weight:400}
+.wf .dtl .code{background:#1b1a19;color:#CCFF00;font-family:"Cascadia Code",Consolas,monospace;
+font-size:9px;padding:6px 8px;border-radius:4px;margin:4px 0;display:flex;align-items:center;
+justify-content:space-between;gap:6px}
+.wf .dtl .code .cpy{background:rgba(255,255,255,.15);color:#fff;border-radius:3px;padding:2px 6px;
+font-size:8px;white-space:nowrap;flex:none;cursor:pointer}
+.wf select.btn{appearance:none;-webkit-appearance:none;font:inherit;color:inherit;padding-right:16px;cursor:pointer;
+background-image:url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='8' height='8' viewBox='0 0 10 10'%3E%3Cpath d='M1 3.5L5 7.5L9 3.5' stroke='%23888' stroke-width='1.5' fill='none' stroke-linecap='round'/%3E%3C/svg%3E");
+background-repeat:no-repeat;background-position:right 4px center}
+.wf input.inp{font:inherit;color:inherit;outline:none;width:100%}
+.wf .srchwrap{position:relative;display:flex;align-items:center;min-width:0}
+.wf .srchwrap .inp{padding-right:48px}
+.wf .srchwrap .aibtn{position:absolute;right:3px;top:50%;transform:translateY(-50%);cursor:pointer;
+line-height:1;padding:5px 10px;border-radius:4px;font-size:11px}
+.wf .edge{background:var(--sf);border:1px solid var(--bds);border-right:none;border-radius:5px 0 0 5px;padding:14px 5px;color:var(--mut)}
+.wf .aibadge{background:#E6F6F4;border:1px solid #7FD0C4;border-radius:6px;padding:7px 11px;font-weight:700;color:#0F6E62;white-space:nowrap}
+.wf .dock.badge{background:#E6F6F4;border:1px solid #7FD0C4;border-radius:6px;padding:7px 11px;font-weight:700;color:#0F6E62;white-space:nowrap}
+.wf .dock.pnl{width:74%;height:76%;background:var(--sf);border:1px solid var(--bds);border-radius:6px;box-shadow:0 3px 10px rgba(16,32,64,.13)}
+.wf .edge{background:var(--sf);border:1px solid var(--bds);border-right:none;border-radius:5px 0 0 5px;padding:14px 5px;color:var(--mut)}
+.wf .aibadge{background:#E6F6F4;border:1px solid #7FD0C4;border-radius:6px;padding:7px 11px;font-weight:700;color:#0F6E62;white-space:nowrap}
+.wf .dock .badge{background:#E6F6F4;border:1px solid #7FD0C4;border-radius:6px;
+/* Menu ⋯ trong panel tro ly — ghep tu ui-audit.html */
+/* Chấm trợ lý 26px — ghép từ ui-audit.html */</style></head><body>
+<button class="tgl" id="tgl">🌙 Tối</button>
+<div class="wrap">
+<header>
+<h1>CoworkLocal — Audit UI/UX</h1>
+<p class="mut">Hiện trạng 27 màn hình · đề xuất sắp xếp lại theo UI/UX kiểu Claude ·
+bảng màu Visual Studio Code · <b>dựng lúc 09:51 17/08/2026</b></p>
+<div class="note warn"><b>Ràng buộc:</b> chỉ sắp xếp lại, <b>không xoá/thêm chức năng</b>.
+Hai chỗ lệch được đánh dấu ở Phần 1.</div>
+<div class="note"><b>Ảnh chụp:</b> render offscreen trên <b>bản sao</b> dữ liệu
+(scheduler tắt, hash dữ liệu thật trước/sau giống hệt). Nạp dữ liệu mẫu: 3 project ·
+6 chat · 10 task · 3 workflow · 45 ngày token. Ảnh đã chỉnh menu sáng đúng mục —
+xem <b>lỗi #9</b>.</div>
+</header>
+
+<div class="toc"><b>Mục lục</b>
+<p class="mut" style="margin:4px 0 8px">Phần 1 — Điều hướng · Phần 2 — Luồng người dùng ·
+Phần 3 — 27 màn hình · Phần 4 — Màn chết</p>
+<ol><li><a href="#dashboard">Dashboard</a></li><li><a href="#schedule-kanban">Schedule Task — Kanban</a></li><li><a href="#schedule-calendar">Schedule Task — Calendar</a></li><li><a href="#workspace-project">Workspace ▸ Project</a></li><li><a href="#workspace-cowork">Workspace ▸ Cowork</a></li><li><a href="#workspace-co4e">Workspace ▸ Co4E</a></li><li><a href="#workspace-folder">Workspace ▸ Folder</a></li><li><a href="#workspace-graphrag">Workspace ▸ GraphRAG</a></li><li><a href="#monitoring-tổng-quan">Monitoring ▸ Tổng quan</a></li><li><a href="#monitoring-sự-kiện-bảo-mật">Monitoring ▸ Sự kiện bảo mật</a></li><li><a href="#monitoring-lịch-sử-gọi-mcp">Monitoring ▸ Lịch sử gọi MCP</a></li><li><a href="#monitoring-nhật-ký-hành-động">Monitoring ▸ Nhật ký hành động</a></li><li><a href="#monitoring-trạng-thái-agent">Monitoring ▸ Trạng thái Agent</a></li><li><a href="#monitoring-agents-admin">Monitoring ▸ Agents Admin</a></li><li><a href="#monitoring-công-cụ">Monitoring ▸ Công cụ</a></li><li><a href="#monitoring-icon">Monitoring ▸ Icon</a></li><li><a href="#dialog-settings">Settings</a></li><li><a href="#dialog-task-editor">Task Editor</a></li><li><a href="#dialog-skills">Skills manager</a></li><li><a href="#dialog-skill-edit">Skill editor</a></li><li><a href="#dialog-file-edit">File view &amp; AI edit</a></li><li><a href="#dialog-co4e-agent">Co4E agent editor</a></li><li><a href="#dialog-ext-connector">External connector</a></li><li><a href="#dialog-permission">Permission request</a></li><li><a href="#dialog-agent-edit">Admin agent editor</a></li><li><a href="#dialog-login">Login (dead screen — not wired)</a></li><li><a href="#overlay-help-panel">Help dock — expanded panel</a></li></ol></div>
+
+<h2>Phần 1 — Điều hướng</h2>
+<div class="cols">
+<div><div class="cap">Hiện tại</div><pre class="tree">Dashboard
+Schedule Task
+Workspace  ▼          ← nhánh accordion, tab strip bên trong BỊ ẨN
+   Project
+   Cowork             ← TỰ ẨN khi chưa chọn project
+   Co4E
+   Folder
+   GraphRAG           ← TỰ ẨN khi chưa chọn project
+Monitoring ▼          ← nhánh accordion, tab strip BỊ ẨN
+   Tổng quan
+   Sự kiện bảo mật
+   Lịch sử gọi MCP
+   Nhật ký hành động
+   Trạng thái Agent
+   Agents Admin
+   Công cụ
+   Icon</pre></div>
+<div><div class="cap">Đề xuất</div><pre class="tree">[ + Đoạn chat mới ]     ← hành động chính, trên cùng
+──────────────
+Project                 ← màn đầu, giữ nguyên
+Cowork                  ← luôn hiện (mờ đi nếu chưa chọn project)
+Co4E
+Folder
+GraphRAG                ← luôn hiện (mờ đi nếu chưa chọn project)
+Schedule Task
+──────────────
+RECENTS                 ← History dời từ pane giữa lên đây
+  · thread gần nhất…
+──────────────  (ghim đáy — nhóm phụ trợ)
+Dashboard               ← vẫn 1 cú nhấp như cũ
+Monitoring              ← BỎ ẨN dải tab, đủ 8 mục nằm ngang trong trang:
+   [Tổng quan] [Sự kiện bảo mật] [Lịch sử gọi MCP]
+   [Nhật ký hành động] [Trạng thái Agent]
+   [Agents Admin] [Công cụ] [Icon]
+👤 local · Provider ▾   ← gom Provider/Language/Theme/Settings</pre></div>
+</div>
+<h3>Chín điểm đã xác minh trong code</h3>
+<table><tr><th style="width:32%">Vấn đề</th><th>Chi tiết</th></tr><tr><td><b>Accordion 2 cấp, không phẳng</b></td><td><code>app.py:170</code> ghi là \“Claude-style\” nhưng là <code>QTreeWidget</code> accordion. Claude dùng danh sách phẳng.</td></tr><tr><td><b>Mục tự biến mất</b></td><td><code>workspace_tab.py:485</code> ẩn <b>Cowork</b> và <b>GraphRAG</b> khi chưa chọn project.</td></tr><tr><td><b>Tab strip bị ẩn</b></td><td><code>hide_tab_bar()</code> ẩn dải tab có sẵn → menu là đường duy nhất.</td></tr><tr><td><b>History chỉ có ở tab Cowork</b></td><td><code>workspace_tab.py:169</code>. <span class='ok'>Điểm làm tốt phải giữ:</span> lịch sử <b>đã gom theo project</b> — lưu trong <code>&lt;project&gt;/.cowork_history</code> (<code>config.py:590</code>), hiển thị gom nhóm ở <code>sidebar.py:193</code>.</td></tr><tr><td><b>Monitoring gom 5 việc rời rạc</b></td><td>Chi phí · log bảo mật · quản trị agent · cấu hình tool · thư viện icon.</td></tr><tr><td><b>Dashboard trùng Monitoring ▸ Tổng quan</b></td><td>Cùng bộ <code>StatCard</code> + <code>BudgetCard</code>.</td></tr><tr><td><b>Top bar giữ thiết lập</b></td><td>Provider/Ngôn ngữ/Giao diện ở topbar, tách khỏi Cài đặt.</td></tr><tr><td><b>Header không đổi theo màn</b></td><td>Mọi sub-tab đều hiện <i>\“Workspace — Projects\”</i>.</td></tr><tr><td><b><span class='bad'>LỖI: bấm mục con Workspace, menu nhảy về mục cha</span></b></td><td><code>_goto</code> gọi <code>refresh()</code> (<code>app.py:726</code>) → <code>subtabs_changed</code> vô điều kiện (<code>workspace_tab.py:497</code>) → <code>takeChildren()</code> (<code>app.py:691</code>) huỷ mục vừa bấm.<br><b>Đo được:</b> 5/5 mục Workspace mất highlight, 0/8 mục Monitoring bị.</td></tr></table>
+
+<h3>Khung ứng dụng — thanh trên cùng &amp; thanh menu</h3>
+<p class="mut">Không thuộc màn nào nên liệt kê riêng.</p>
+<details class="ctl"><summary>Kiểm kê control — <b>8</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>—</td><td class="mut">cây</td><td><code>lambda cur, _prev: self._navigate(cur); self._on_nav_click</code></td><td class="mut">app.py:175</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>MENU</td><td class="mut">nút</td><td><code>self._toggle_nav</code></td><td class="mut">app.py:218</td><td class="mv">Giữ — nút MENU gập sidebar (150↔54px)</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._on_provider_changed</code></td><td class="mut">app.py:559</td><td class="mv">→ menu tài khoản ở đáy sidebar</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._on_language_changed</code></td><td class="mut">app.py:568</td><td class="mv">→ menu tài khoản ở đáy sidebar</td></tr><tr><td>Cài đặt</td><td class="mut">nút</td><td><code>self._open_settings</code></td><td class="mut">app.py:586</td><td class="mv">→ menu tài khoản ở đáy sidebar</td></tr><tr><td>self._tray_open_act</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">app.py:329</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>self._tray_quit_act</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">app.py:330</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>_icon(icon_name</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">app.py:625</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+
+<h3>Các nút thu gọn / mở rộng — giữ nguyên toàn bộ</h3>
+<p class="mut">App có <b>11 chỗ</b> gập được. Thiết kế mới giữ đủ cả 11.</p>
+<div class="cols" style="align-items:start">
+<div><div class="cap">Menu mở rộng</div><div class="wf demo" style="height:570px"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i on">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="i">Cài đặt</div><div class="acct"><span>👤 local</span><span class="lang">VN ▾</span><span class="thm">🌙</span></div></div><div class="main"><div class="ttl">Nội dung</div><div class="b grow"></div></div></div></div>
+<div><div class="cap">Menu đã gập (54px, chỉ còn icon)</div>
+<div class="wf demo" style="height:570px"><div class="rail narrow"><div class="menutog"><span class="chev">›</span></div><div class="newbtn ic">+</div><div class="i ic">▣</div><div class="i ic on">▤</div><div class="i ic">◫</div><div class="i ic">⌥</div><div class="i ic">◈</div><div class="i ic">▦</div><div class="grow"></div><div class="i ic">◔</div><div class="i ic">◕</div><div class="acct ic">👤</div></div><div class="main"><div class="ttl">Nội dung</div><div class="b grow"></div></div></div></div>
+</div>
+<table><tr><th style="width:24%">Chỗ gập được</th><th style="width:40%">Cách dùng</th>
+<th>Nguồn</th><th>Thiết kế mới</th></tr><tr><td><b>Thanh menu chính</b></td><td>MENU ‹ ở đầu thanh — gập còn dải icon (150px → 54px)</td><td class="mut"><code>app.py:409</code></td><td class="ok">giữ</td></tr><tr><td><b>Pane Project</b></td><td>chevron ‹ trên đầu danh sách project</td><td class="mut"><code>workspace_tab.py:368</code></td><td class="ok">giữ</td></tr><tr><td><b>Pane Lịch sử</b></td><td>chevron trên đầu History, gập thành dải mỏng</td><td class="mut"><code>sidebar.py:167</code> · <code>workspace_tab.py:247</code></td><td class="ok">giữ</td></tr><tr><td><b>Pane Tệp trong chat</b></td><td>chevron › — gập panel Files bên phải khung chat</td><td class="mut"><code>chat_panel.py:709</code></td><td class="ok">giữ</td></tr><tr><td><b>Panel Hỏi đáp GraphRAG</b></td><td>chevron › — gập panel agent bên phải đồ thị</td><td class="mut"><code>structure_graph_view.py:615</code></td><td class="ok">giữ</td></tr><tr><td><b>Panel cấu hình bước Co4E</b></td><td>nút gập panel phải của canvas</td><td class="mut"><code>co4e_tab.py:767</code></td><td class="ok">giữ</td></tr><tr><td><b>Panel Tin nhắn Co4E</b></td><td>gập khung log dưới canvas — <b>mặc định đang gập</b></td><td class="mut"><code>co4e_tab.py:894</code></td><td class="ok">giữ</td></tr><tr><td><b>Terminal trong Thư mục</b></td><td>bấm thanh tiêu đề để mở/gập — <b>mặc định đang gập</b></td><td class="mut"><code>terminal_panel.py:156</code></td><td class="ok">giữ</td></tr><tr><td><b>Panel AI sửa tệp</b></td><td>nút ✨ bật/tắt panel — <b>mặc định đang ẩn</b></td><td class="mut"><code>folder_tab.py:777</code></td><td class="ok">giữ</td></tr><tr><td><b>Đồ thị ⇄ Tin nhắn (GraphRAG)</b></td><td>nút đổi nội dung pane trái</td><td class="mut"><code>structure_graph_view.py:416</code></td><td class="ok">giữ — đổi thành cặp tab</td></tr><tr><td><b>Khối kết quả công cụ trong chat</b></td><td>bấm tiêu đề để mở/gập output dài</td><td class="mut"><code>chat_view.py:253</code></td><td class="ok">giữ</td></tr></table>
+
+<h3>Từng màn hình đi đâu sau khi sửa</h3>
+<p class="mut">Không màn nào bị bỏ. Giám sát (Dashboard + 8 màn Monitoring) ở nhóm
+phụ trợ đáy sidebar, mở ra thấy đủ 8 tab.</p>
+<table><tr><th style="width:17%">Màn hình</th><th style="width:30%">Hiện tại ở đâu</th>
+<th style="width:35%">Sau khi sửa ở đâu</th><th>Chức năng</th></tr><tr class="grp"><td colspan="4">Màn hình làm việc</td></tr><tr><td><b>Workspace ▸ Project</b></td><td class="mut">Menu ▸ Workspace <i>(mở nhánh)</i> ▸ Project</td><td>Sidebar ▸ <b>Project</b> — lên cấp 1, bớt 1 lần mở nhánh</td><td class="ok">giữ nguyên</td></tr><tr><td><b>Workspace ▸ Cowork</b></td><td class="mut">Menu ▸ Workspace ▸ Cowork — <span class='bad'>biến mất nếu chưa chọn project</span></td><td>Sidebar ▸ <b>Cowork</b> — luôn thấy, mờ khi chưa chọn</td><td class="ok">giữ nguyên</td></tr><tr><td><b>Workspace ▸ Co4E</b></td><td class="mut">Menu ▸ Workspace ▸ Co4E</td><td>Sidebar ▸ <b>Co4E</b></td><td class="ok">giữ nguyên</td></tr><tr><td><b>Workspace ▸ Folder <span class='mut'>(“Thư mục”)</span></b></td><td class="mut">Menu ▸ Workspace ▸ Thư mục</td><td>Sidebar ▸ <b>Folder</b></td><td class="ok">giữ nguyên</td></tr><tr><td><b>Workspace ▸ GraphRAG</b></td><td class="mut">Menu ▸ Workspace ▸ GraphRAG — <span class='bad'>biến mất nếu chưa chọn project</span></td><td>Sidebar ▸ <b>GraphRAG</b> — luôn thấy</td><td class="ok">giữ nguyên</td></tr><tr><td><b>Schedule Task — Kanban</b></td><td class="mut">Menu ▸ Schedule Task</td><td>Sidebar ▸ <b>Schedule Task</b> ▸ tab <b>Kanban</b></td><td class="ok">giữ nguyên</td></tr><tr><td><b>Schedule Task — Lịch</b></td><td class="mut">Menu ▸ Schedule Task ▸ <i>combo</i> đổi sang “Lịch”</td><td>Sidebar ▸ Schedule Task ▸ tab <b>Lịch</b> — combo thành tab, dễ thấy hơn</td><td class="ok">giữ nguyên</td></tr><tr class="grp"><td colspan="4">Giám sát &amp; vận hành <span class='mut'>— phần bạn hỏi</span></td></tr><tr><td><b>Dashboard</b></td><td class="mut">Menu ▸ Dashboard <i>(cấp 1)</i></td><td>Sidebar ▸ <b>vùng đáy</b> — vẫn 1 cú nhấp</td><td class="ok">giữ nguyên</td></tr><tr><td><b>Monitoring ▸ Tổng quan</b></td><td class="mut">Menu ▸ Monitoring <i>(mở nhánh)</i> ▸ Tổng quan</td><td>Sidebar ▸ <b>Monitoring</b> ▸ tab <b>Tổng quan</b></td><td class="ok">giữ nguyên</td></tr><tr><td><b>Monitoring ▸ Sự kiện bảo mật</b></td><td class="mut">Menu ▸ Monitoring ▸ Sự kiện bảo mật</td><td>Sidebar ▸ Monitoring ▸ tab <b>Sự kiện bảo mật</b></td><td class="ok">giữ nguyên</td></tr><tr><td><b>Monitoring ▸ Lịch sử gọi MCP</b></td><td class="mut">Menu ▸ Monitoring ▸ Lịch sử gọi MCP</td><td>Sidebar ▸ Monitoring ▸ tab <b>Lịch sử gọi MCP</b></td><td class="ok">giữ nguyên</td></tr><tr><td><b>Monitoring ▸ Nhật ký hành động</b></td><td class="mut">Menu ▸ Monitoring ▸ Nhật ký hành động</td><td>Sidebar ▸ Monitoring ▸ tab <b>Nhật ký hành động</b></td><td class="ok">giữ nguyên</td></tr><tr><td><b>Monitoring ▸ Trạng thái Agent</b></td><td class="mut">Menu ▸ Monitoring ▸ Trạng thái Agent</td><td>Sidebar ▸ Monitoring ▸ tab <b>Trạng thái Agent</b></td><td class="ok">giữ nguyên</td></tr><tr><td><b>Monitoring ▸ Agents Admin</b></td><td class="mut">Menu ▸ Monitoring ▸ Agents Admin</td><td>Sidebar ▸ Monitoring ▸ tab <b>Agents Admin</b></td><td class="ok">giữ nguyên</td></tr><tr><td><b>Monitoring ▸ Công cụ</b></td><td class="mut">Menu ▸ Monitoring ▸ Công cụ ▸ tab con Tool | Connector</td><td>Sidebar ▸ Monitoring ▸ tab <b>Công cụ</b> ▸ Tool | Connector</td><td class="ok">giữ nguyên</td></tr><tr><td><b>Monitoring ▸ Icon</b></td><td class="mut">Menu ▸ Monitoring ▸ Icon</td><td>Sidebar ▸ Monitoring ▸ tab <b>Icon</b></td><td class="ok">giữ nguyên</td></tr><tr class="grp"><td colspan="4">Thành phần bị dời chỗ</td></tr><tr><td><b>History <span class='mut'>(lịch sử chat)</span></b></td><td class="mut">Pane giữa, <span class='bad'>chỉ ở tab Cowork</span>. Đã gom theo project.</td><td>Sidebar ▸ <b>RECENTS</b> — <b>vẫn gom theo project</b> + “Tất cả project…”</td><td class="ok">giữ, dễ tới hơn</td></tr><tr><td><b>Bộ chọn project</b></td><td class="mut">Pane trái, <span class='bad'>chỉ ở tab Project</span></td><td>Thanh chọn đầu trang, dùng chung mọi màn</td><td class="ok">giữ, dễ tới hơn</td></tr><tr><td><b>Provider · Ngôn ngữ · Giao diện</b></td><td class="mut">Thanh trên cùng (topbar)</td><td>Menu tài khoản ở đáy sidebar — gom cùng chỗ với Cài đặt</td><td class="ok">giữ nguyên</td></tr><tr><td><b>Nút Cài đặt</b></td><td class="mut">Thanh trên cùng</td><td>Menu tài khoản ở đáy sidebar</td><td class="ok">giữ nguyên</td></tr><tr class="grp"><td colspan="4">Hộp thoại &amp; lớp phủ</td></tr><tr><td><b>11 hộp thoại</b></td><td class="mut">Mở từ nút trên các màn tương ứng</td><td><b>Không đổi</b> — vẫn mở từ đúng những nút đó</td><td class="ok">giữ nguyên</td></tr><tr><td><b>Robot trợ giúp · Terminal · Composer</b></td><td class="mut">Lớp phủ / panel thu gọn</td><td><b>Không đổi</b></td><td class="ok">giữ nguyên</td></tr></table>
+<div class="note">Dashboard/Monitoring xuống đáy nhưng vẫn là mục cấp 1, vẫn
+<b>một cú nhấp</b>. Sidebar chia theo tần suất: việc hằng ngày ở trên, quản trị ở dưới.</div>
+
+<h3>Toàn bộ nhóm tab / lane / chế độ trong app</h3>
+<p class="mut">Đầy đủ, kể cả nhóm không hiện ra màn hình.</p>
+<table><tr><th style="width:20%">Nhóm</th><th>SL</th><th style="width:36%">Các mục</th>
+<th style="width:22%">Nhìn thấy?</th><th>Nguồn</th></tr><tr><td><b>Thanh menu trái</b></td><td class="mut">4 mục</td><td>Dashboard · Schedule Task · Workspace · Monitoring</td><td>có</td><td class="mut"><code>app.py:154</code></td></tr><tr><td><b>Workspace ▸ mục con</b></td><td class="mut">5 mục</td><td>Project · Cowork · Co4E · Folder · GraphRAG</td><td><b class='bad'>không</b> — <code>hide_tab_bar()</code>, và Cowork/GraphRAG còn tự ẩn khi chưa chọn project</td><td class="mut"><code>workspace_tab.py:43</code></td></tr><tr><td><b>Monitoring ▸ mục con</b></td><td class="mut">8 mục</td><td>Tổng quan · Sự kiện bảo mật · Lịch sử gọi MCP · Nhật ký hành động · Trạng thái Agent · Agents Admin · Công cụ · Icon</td><td><b class='bad'>không</b> — <code>hide_tab_bar()</code></td><td class="mut"><code>monitoring_tab.py:215</code></td></tr><tr><td><b>Công cụ ▸ tab con</b></td><td class="mut">2 tab</td><td>Tool · Connector</td><td><b class='ok'>có</b> — màn <b>duy nhất</b> còn hiện dải tab</td><td class="mut"><code>tools_admin_tab.py:91</code></td></tr><tr><td><b>Schedule ▸ chế độ xem</b></td><td class="mut">2 chế độ</td><td>Kanban · Lịch</td><td>là <b>combo</b>, không phải tab</td><td class="mut"><code>schedule_task_tab.py:171</code></td></tr><tr><td><b>Kanban ▸ lane trạng thái</b></td><td class="mut"><b>7 lane</b></td><td>backlog · scheduled · running · waiting_input · done · failed · paused</td><td><b class='bad'>cắt ở mép phải</b>, phải cuộn ngang</td><td class="mut"><code>tasks.py:24</code></td></tr><tr><td><b>Co4E ▸ sidebar</b></td><td class="mut">3 tab icon</td><td>Workflows · Agents · Skills</td><td>chỉ có icon, tên nằm trong tooltip</td><td class="mut"><code>co4e_tab.py:426</code></td></tr><tr><td><b>Co4E ▸ dải tab flow</b></td><td class="mut">1 + N</td><td>Flow Status (ghim) + mỗi workflow đang mở một tab</td><td>có, kiểu trình duyệt</td><td class="mut"><code>co4e_tab.py:556</code></td></tr><tr><td><b>Folder ▸ trình xem</b></td><td class="mut">5 trang</td><td>trống · mã nguồn · HTML · tài liệu · ảnh (+ bảng tính)</td><td>tự đổi theo đuôi tệp, không có tab</td><td class="mut"><code>folder_tab.py:322</code></td></tr><tr><td><b>GraphRAG ▸ khung trái</b></td><td class="mut">2 trang</td><td>Đồ thị · Tin nhắn</td><td>là <b>nút bấm</b>, không phải tab</td><td class="mut"><code>structure_graph_view.py:217</code></td></tr><tr><td><b>Dialog Tạo task bằng AI</b></td><td class="mut">2 tab</td><td>Sinh bằng AI · Nhập từ Excel</td><td>có</td><td class="mut"><code>schedule_task_tab.py:530</code></td></tr><tr><td><b>Dialog Kết nối ngoài</b></td><td class="mut">2 chế độ</td><td>MCP (stdio) · REST API</td><td>là combo đổi trang</td><td class="mut"><code>ext_connector_dialog.py:23</code></td></tr><tr><td><b>Dialog Đăng nhập <span class='mut'>(màn chết)</span></b></td><td class="mut">3 trang</td><td>Khởi tạo lần đầu · Đăng nhập · Dự phòng offline</td><td><span class='mut'>không tới được</span></td><td class="mut"><code>login_dialog.py:74</code></td></tr><tr><td><b>Dialog Flow Builder <span class='mut'>(màn chết)</span></b></td><td class="mut">3 tab</td><td>Flow · Agents · Skills</td><td><span class='mut'>không tới được</span></td><td class="mut"><code>flow_dialog.py:247</code></td></tr></table>
+<div class="note warn"><b>14 nhóm</b> tab/lane, chỉ <b>4 nhóm</b> hiện ra màn hình.
+Số còn lại bị ẩn, thành combo, thành nút, hoặc không tới được.</div>
+<div class="note bad"><b>Hai chỗ lệch — cần bạn quyết:</b>
+(1) Cowork/GraphRAG: <i>biến mất</i> → <b>hiện nhưng mờ</b>.
+(2) Bỏ ẩn tab strip Monitoring (khôi phục thứ đã có).</div>
+
+<h2>Phần 2 — Luồng người dùng</h2>
+<table><tr><th style="width:20%">Luồng</th><th style="width:40%">Hiện tại</th><th>Sau khi sửa</th></tr><tr><td><b>Khởi động → màn đầu</b></td><td class="mut">python -m cowork_local → MainWindow → <b>Workspace ▸ Project</b><br><span class='mut'>Không có bước đăng nhập (LoginDialog bị bỏ qua)</span></td><td>Giữ nguyên đích đến. Sidebar phẳng nên Project là mục đầu, không còn nằm dưới nhánh Workspace.</td></tr><tr><td><b>Tạo project → chat</b></td><td class="mut">Nav ▸ Workspace <i>(mở nhánh)</i> → Project → “+” → điền form → Lưu → <b>chọn project</b> → nav ▸ Cowork <i>(mục vừa mới xuất hiện)</i> → gõ</td><td>Sidebar ▸ Project → “+” → Lưu → sidebar ▸ Cowork <i>(luôn nhìn thấy)</i> → gõ.<br><b>Bớt 1 bước mở nhánh</b>, và menu không đổi hình giữa chừng.</td></tr><tr><td><b>Co4E: tạo → chạy → xem run</b></td><td class="mut">Nav ▸ Workspace ▸ Co4E → “＋” trên dải tab → kéo agent từ sidebar → chọn node → sửa ở panel phải → Lưu → Chạy → bấm tab <b>Flow Status</b> để xem</td><td>Sidebar ▸ Co4E → “+ Workflow” trong danh sách trái → kéo → sửa phải → Lưu → Chạy.<br>Trạng thái run là <b>một mục trong danh sách trái</b>, không phải tab riêng.</td></tr><tr><td><b>Tạo &amp; chạy scheduled task</b></td><td class="mut">Nav ▸ Schedule → “+ Task” → form 5 group → Lưu → <b>kéo thẻ vào lane Running</b> (chạy ngay, không hỏi)</td><td>Sidebar ▸ Schedule Task → “+ Task” → form 3 tab → Lưu → kéo vào Running <i>(lane có viền cảnh báo)</i>.</td></tr><tr><td><b>Duyệt tệp → AI sửa</b></td><td class="mut">Nav ▸ Workspace ▸ Folder → chọn tệp → bấm ✨ mở panel AI → gõ lệnh → xem plan → xem diff → <b>Apply</b></td><td>Sidebar ▸ Folder → chọn tệp → ✨ mở <b>lớp phủ AI</b> → gõ → plan → diff → Apply.<br>Luồng giữ nguyên; panel không còn chiếm chỗ cố định.</td></tr></table>
+
+<h3>Truy vết chi tiết: “Đoạn chat mới”</h3>
+<table><tr><th style="width:16%">Khía cạnh</th><th style="width:28%">Giao diện cũ</th>
+<th style="width:24%">Giao diện mới</th><th>Có đồng bộ không</th></tr><tr><td><b>Số lối vào</b></td><td class="mut"><b>1</b> — nút “Cuộc trò chuyện mới” trên toolbar Cowork (<code>cowork_tab.py:34</code>)</td><td><b>2</b> — nút sidebar + nút toolbar cũ giữ nguyên</td><td><span class='bad'>Tôi vẽ thêm nút sidebar mà chưa nói gì về nút cũ.</span> Giữ cả hai (bỏ nút cũ là xoá chức năng), cùng gọi một hàm.</td></tr><tr><td><b>Thấy được khi nào</b></td><td class="mut">Chỉ khi đang ở tab Cowork — mà tab này <span class='bad'>tự ẩn khi chưa chọn project</span></td><td>Luôn thấy trên sidebar</td><td>Mới dễ tới hơn. Chưa chọn project thì nút mờ đi.</td></tr><tr><td><b>Chat mới thuộc project nào</b></td><td class="mut">Project đang mở, ngầm định — không hiển thị ở đâu</td><td>Bộ chọn project <b>ngay trên nút</b>, trong sidebar</td><td><span class='ok'>Cùng hành vi</span> — vẫn là project đang mở (<code>ctx.active_project_id</code>), nhưng nay nhìn thấy và đổi được tại chỗ.</td></tr><tr><td><b>Đổi project trước khi tạo</b></td><td class="mut">Phải rời Cowork → về tab Project → chọn dòng trong danh sách → quay lại Cowork → bấm nút. <b>4 bước.</b></td><td>Bấm droplist ngay trên nút → chọn → bấm nút. <b>2 bước</b>, không rời màn.</td><td>Ít bước hơn, không thêm chức năng — vẫn là chọn project rồi tạo chat.</td></tr><tr><td><b>Bấm từ màn khác</b></td><td class="mut">Không xảy ra được — nút chỉ có trên Cowork</td><td>Chuyển sang Cowork rồi tạo chat mới</td><td>Hành vi mới, cần thiết vì nút giờ ở mọi màn.</td></tr><tr><td><b>Việc thực sự làm</b></td><td class="mut"><code>new_session()</code> (<code>chat_panel.py:1653</code>): xoá messages · sinh session_id mới · dọn view, composer, plan, tệp vào/ra · <b>turn đang chạy vẫn chạy nền</b></td><td>Giữ y nguyên</td><td><span class='ok'>Không đổi.</span></td></tr><tr><td><b>Lưu chat cũ</b></td><td class="mut">Tự lưu; History refresh qua <code>history_changed</code></td><td>Giữ y nguyên — RECENTS refresh</td><td><span class='ok'>Không đổi.</span></td></tr></table>
+<div class="cols" style="align-items:start">
+<div><div class="cap">Có project</div><div class="wf demo"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i on">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="i">Cài đặt</div><div class="acct"><span>👤 local</span><span class="lang">VN ▾</span><span class="thm">🌙</span></div></div><div class="main"><div class="ttl">Cowork</div><div class="b grow"></div></div></div></div>
+<div><div class="cap">Chưa có project nào</div><div class="wf demo"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick empty"><span>Chưa có project</span><span class="cv">▾</span></div><div class="newbtn off">+ Đoạn chat mới</div><div class="hint">Tạo project trước</div><div class="i on">Project</div><div class="i off">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i off">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="i sm off">trống</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="i">Cài đặt</div><div class="acct"><span>👤 local</span><span class="lang">VN ▾</span><span class="thm">🌙</span></div></div><div class="main"><div class="ttl">Quản lý project</div><div class="b grow"><span class="mut">Chưa có project — bấm “+ Project mới”</span></div></div></div></div>
+</div>
+<div class="note"><b>Khi chưa có project</b> (đã chạy thử app với 0 project):
+hiện nay <b>Cowork và GraphRAG biến mất</b> khỏi menu nên không chat được, mà không nói vì sao.
+Thiết kế mới <b>giữ nguyên cổng chặn đó</b> — vẫn không tạo chat được — nhưng hai mục vẫn nằm
+đúng chỗ, chỉ mờ đi; droplist ghi “Chưa có project”; nút chat mới bị khoá kèm lý do
+“Tạo project trước”.<br>
+<span class="mut">Ghi nhận thêm: lúc đó <code>ctx.active_project_id</code> vẫn giữ
+<code>'default'</code> — trỏ vào một project không tồn tại. Và
+<code>projects.ensure_starter_project()</code> (“đảm bảo luôn có ít nhất một project”)
+<b>không nơi nào gọi</b>.</span></div>
+
+<div class="note bad"><b>Phát hiện:</b> <code>sidebar.py:68</code> khai báo tín hiệu
+<code>new_chat</code> và <code>workspace_tab.py:241</code> đã nối nó vào
+<code>_on_sidebar_new</code> — nhưng <b>không nơi nào phát tín hiệu này</b>
+(<code>grep new_chat.emit</code> → rỗng). Tức pane Lịch sử vốn được thiết kế để có nút
+“chat mới” nhưng nút đó chưa bao giờ được thêm. Đề xuất đưa nút lên sidebar chính là
+<b>hoàn thiện ý định sẵn có</b> trong code, không phải thêm mới.</div>
+
+<h2>Phần 3 — Từng màn hình</h2>
+<section class="sec" id="dashboard">
+<div class="hd"><b>1. Dashboard</b><span class="tag">ui/dashboard_tab.py:35</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Token đã tiêu và chi phí quy ra tiền, theo kỳ.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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" alt="Dashboard"></div>
+<p class="rg"><b>Header</b>: kỳ · granularity · metric · tiền tệ · <b>6 thẻ</b>: Total · In · Out · Cache · Cost · Ngân sách · <b>Biểu đồ</b>: spline + đường so sánh kỳ trước · <b>Thói quen</b>: top task tốn token</p>
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="i">Cài đặt</div><div class="acct"><span>👤 local</span><span class="lang">VN ▾</span><span class="thm">🌙</span></div></div><div class="main"><div class="r tb"><div class="ttl">Dashboard</div><div class="grow"></div><div class="btn">◀</div><div class="btn">08/03 – 08/09</div><div class="btn">▶</div></div><div class="r tb"><div class="btn">Theo tuần ▾</div><div class="btn">Chi phí ▾</div><div class="btn">USD ▾</div><div class="grow"></div><div class="btn">⟳</div></div><div class="r"><div class="b hero">$0.31<span class="s">Tổng chi phí · 57 lượt</span></div><div class="c grow"><div class="r"><div class="b kpi">395.4K<span class="s">Tổng token</span></div><div class="b kpi">292.8K<span class="s">Input</span></div></div><div class="r"><div class="b kpi">102.7K<span class="s">Output</span></div><div class="b kpi">108.9K<span class="s">Cache</span></div></div></div></div><div class="b chart grow"><svg viewBox="0 0 400 90" preserveAspectRatio="none"><polyline points="0,20 60,55 120,45 180,38 240,18 300,52 400,78" fill="none" stroke="currentColor" stroke-width="2"/></svg></div><div class="r"><div class="b grow">Tốn nhiều nhất: Dựng slide trình bày — 105.4K (26%)</div></div></div><div class="dock fab" title="AI Assistant — trợ lý cách dùng app"><span class="spark">✨</span></div></div>
+<details class="ctl"><summary>Kiểm kê control — <b>10</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>Kỳ trước</td><td class="mut">nút</td><td><code>self._chart_prev</code></td><td class="mut">ui\dashboard_tab.py:59</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Kỳ sau</td><td class="mut">nút</td><td><code>self._chart_next</code></td><td class="mut">ui\dashboard_tab.py:67</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._on_gran_changed</code></td><td class="mut">ui\dashboard_tab.py:71</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._refresh_chart</code></td><td class="mut">ui\dashboard_tab.py:75</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tiền tệ hiển thị (tỉ giá USD→VND/JPY cố định, sửa được trong</td><td class="mut">droplist</td><td><code>self._on_currency_changed</code></td><td class="mut">ui\dashboard_tab.py:84</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td></td><td class="mut">nút</td><td><code>self.refresh</code></td><td class="mut">ui\dashboard_tab.py:91</td><td class="mv">→ lên sidebar cùng RECENTS</td></tr><tr><td>AI phân tích</td><td class="mut">nút</td><td><code>self._ai_analyze</code></td><td class="mut">ui\dashboard_tab.py:145</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Áp dụng chiến lược tiết kiệm</td><td class="mut">nút</td><td><code>self._apply_saving_strategy</code></td><td class="mut">ui\dashboard_tab.py:150</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>f'{arrow} {self._title} ({self._count}</td><td class="mut">nút</td><td><code>self._toggle; self._toggle</code></td><td class="mut">ui\widgets.py:254</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">danh sách</td><td><code>self._emit</code></td><td class="mut">ui\widgets.py:261</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li><b>Tám control trên một hàng</b> header.</li><li>Trùng <b>Monitoring ▸ Tổng quan</b>: cùng StatCard + BudgetCard.</li><li>Sáu thẻ số bằng nhau — không thấy đâu là chỉ số chính.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Header tách 2 hàng: thời gian / bộ lọc.</li><li>Nâng <b>Chi phí</b> làm thẻ chính, 4 thẻ còn lại phụ.</li></ul></div>
+</div></div></section><section class="sec" id="schedule-kanban">
+<div class="hd"><b>2. Schedule Task — Kanban</b><span class="tag">ui/schedule_task_tab.py:70</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Kanban các tác vụ hẹn giờ. Bộ lập lịch chạy nền dù màn này đóng.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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Y6O3rt3r7q6Om8JeOFkMnndunWvXr0KDQ29fv16cHAw5yyGgv7K+7l4z5rwkmVm8ODBTCYT73th7t27Z2xsrK+vz3cTvpELzyuM8MTmxPcEubm5xcTE7N6929XVVfh0bMKzjvgeuVRWVlZUVKxdu5bzbQYiHUAieyF+caH/f12wWCy+6wg67GPGjNmzZ09MTMy4ceMsLS0F7UJeqqury8rKrK2thR8Qrk9BJpNXrFjx7Nmz77//Pj09ffTo0YLK563riB95rlQkXg9g8OqF96rhjYp44eJVnoKCJHgR8dZsgsokkvxyZ2VlRSKR8NErLlznXUgTw8vDw2Pw4MGJiYmdnZ3Ca36ui5p4444Rcl1jufTy5cvQ0NBz5865uroKORT37t1zdnbGfnZycnr27BkWDMGaX6SOihAK0lDK3RdffJGXl5efn29nZyeoae4SXqny/gnrNWE/i1Gp8q0HuAhKvy5PMcErQrzIccKvUEF5TqQDQCaTTUxM3NzcOEfDexATE5OAgICEhITa2lquPwk5dwRbEPGaJ5x4fUUJs13s/RLHt7fJiXjLizj6FSQSaf78+XwLJNKrIdLPlw3x+od8ixJUgiSZ0CWR+hLS6qvLegBLRUVl4cKFT548OX78eGlpaXNzc0dHR3V19Z07d+Lj411dXe3t7WUcknAZGRliN669UEhIyOHDh0NDQ8+cOYPfDn327FkGg9Hc3PzPP//wvqOns7OTSqX26dMHX2Jpaammpnbx4kUmk4nNCIBfacKL4nXt2rUPHz40NjZmZGTgUw/yFiJkj1z++uuv5ubm3Nzc1tbWv//+u6GhobS0tKqqCitH1PA43bx5U9A3dkGHZdy4cQihgQMH6uvrp6amNjQ0MBgMvl0KvPBBgwZRKJTLly+3tLRg32r69euHrybor7yfi/esCS9ZZvr06VNTU8O1sKWlpaWlRdAckGJHTvB0CzpB165dq6+vf/PmTVFRUf/+/YXsSHjWEd8jFzabHRMT8/bt24iICH9/fyqVikQ5gAT3QvziIkjQYb927RoWSVFRkXRfcSCG6OhoMzOzkJCQI0eOfPHFF9jCuro6KpUq/IBwfQoLCwssOZubm8vKyoRMYsVb1xE/8lypSLwewAipu3ijErVwIjgDEFQOwYuIt2bjWybB5Jc7AwOD6upqQX/lOu+Cmhhew4YN8/T0jIuLY7FYItWfYjTuQq5rCwsLFRWVy5cvs1issrKy7OxsIYciPz9/4MCBWCXm4uJy9+5dkSIXqaMihII0lPJFp9NtbGweP37c2NhYWlo6ZswYsYvCKlXh64hRqfKtB7gISj9pXRHiRY4R+wrtsgPg5OR06NChqKio8vJyQaPbCm7q1KklJSUVFRW8fxJyrETthuGINE8YyfuKSKyckcp+hePb2+REsOXFA8P7FcOHDxd0HIj0ahSHGP1DvuUIKkGSTOiSSH0JafXVZf0Iobu7O4vFunnzJu/k/3V1dRkZGQsXLiwrKxMyKZ2FhYWfn9/QoUPJZPKTJ08SExM/ffrUzVEDomJjYxkMRmBgoIODAz57n4uLi6ura79+/QwMDHjf6FFeXn7+/Pm1a9dWVVWlpqa+f/+eRqO9f/8ez5Dq6mq8UhNeFK8PHz5gPzQ2NmpqapJIJDabzVuIkD1ywee+/fz5M/7fGxaLpaamJkZ4nLpMY94g9fT0EEJ9+/atqKgQPvkfXjiNRjM2Nj5y5Aj+Jz09PbwhF/RX3s/F96wJKVlmmpubeV8PpKGhoaGhIei2Z7EjJ3i6BZ0gvJvY3NyM5Y8gwrOO+B55tba2Xrhw4a+//po/f35oaOiOHTuIH0CCeyF+cREk6LDjSc5kMuV+R0xkZCTvJKaGhobYFIFCDgjXp6DT6ZWVlfjKTU1Ngo4eb11H/MhzpSLxeoArZoJRiVQ4EZwBCCqH4EXEW7PxLZP4JSZfLBZLyH/geM873yaG15w5czIzM+vq6pCI9acYjbuQ65pOp2MnCF9BUMAIoc+fPz958sTBwaGgoMDMzOzp06cjR44kHrlIHRUh+B4uMR7J6dHc3NxKS0sbGxsRQnl5eVOmTMnMzBTvjWBYpSp8HTEqVb71ABdB6SetK0K8yDFiX6FddgDy8/ODg4P19fW9vLxWr16tsLOMCZGenj5r1qyJEyfyPvEg5FiJ2g3DEWmeMJL3FZFYOSOV/XaJt7fJOfsYwZYXw/ebnfDgFeQbihBi9A/5liOoBEkyoUsi9SWk1VeX9QDWiBEjrl69Kqihwu7JGjJkyOPHj/mu4OTktHHjxvT09CNHjjCZzDFjxtjZ2cngzUqAOCaTefTo0R9//PHBgwevX7+2srLy8fFJTU2tqKiwsbHB7+HnlJ2dnZOT4+3tvWrVqqioqNra2r59++JVkqGhIXZtECmKi7a2Ntbo9uvXr6amhs1m8y1E0B5FIkZ4nDo6OrAfWlpaKBSKqqoqVrnjl72gIBsbGw0NDQkWXl9f//r16x07dvBdje9fBX0urrMmvGSZef78uZ6enp2dHeesum5ubuXl5Q0NDaqqqrzHVrzIiZ9uIidIbHyzRdQ9NjY2Jicnx8TEDBgwgO8BHDt2LHYAubbi2gvfYMS+uPiWJuFVJkdWVlb9+/d/+vSpsbEx8QPCZDI5ByAE3X6P+NV1Yh95keoBxFG9EIlK1MKJwAOQSnpw1Wx8y+zWi1qKXr582adPH1tbWyJjgsQTJiUlJTAwsLy8/OXLlyLVn1Js3BFCTCaT88s2fkYEtaH//PPPhAkTyGTyo0ePOjs7Ra35CXZUhOO7U74Nk7Iik8ljx441MDDg/DJpY2PT5TgUL7xSFXTG+SJYqXKdbr7l8E0/qVwRkkSOJLhChfegsF/ZbPanT58uXboUExNDJpMVfxyfS1NTU3x8/MaNG+vq6rhm8+mOfizx5olgsyL1bJdlc8bZ2ywrK+P8E5GWF8Pbr+hyvwryDUUQ8fqHfAmqUsTLBJGSrcsYpEumjxCqqan16dNH+JDnmzdv+vbty/dPFArl22+/PXjw4Pnz59+/f9/U1PTXX39ho1c0Gi0sLOyXX345ceJEYGAghUJBCEVFReEPzcbFxU2fPh37+dSpUzQaje8mCKGMjAwPD4/U1FSu6QxWrly5Y8cOVVV5vrexp2AymZcuXVq8eDGZTKbT6Y2Njdg8iMKnqGAwGNjhxSq1mTNnamlp0el0Hx8fbOJVQUU1NzebmpqSyXySedasWbq6unQ6ff78+Viq8C1E0B5FImp4gpa3t7dXV1dPmTIFe9k2jUYTHmRpaamKisrs2bO1tLQsLCyE341fWlqqp6fn7u6uoaFB8K/CzyB+1oSXLDNMJvPixYtBQUGjRo3S0tLS19f39PT86quvfvnlFyTg2AqKXEheoa4OCyeRTpCoBH0iInu0sLCYNm2anp4ehUKxt7dXU1P79OkT3wM4Y8aMtLS0Lj8X32BEvbjww863NOKHXUFgdaC7u/vq1avT0tIaGhpEOiClpaUGBgaTJk3S0NCwt7cX8sWet64Tu1oTox7AcV01vFGJVLiolacU0wOv2fiW2a0XtRQ1NjZevnx5xYoVbm5uurq6urq67u7uLi4ufFcmnjAMBiMlJWXNmjUmJiZEan78fInauAuH7drDwwO7OpycnLDlgtrQoqIiU1NTV1dX7LVK4tX8XXZUiMTMtVNBASslW1tbTU3Nr7/+Oui/Hj16hD9nTQReqa5aterMmTMNDQ0iHUDilSriON18y+GbflK5IiSMnMgVyjfPhfegBgwY4OXlpaurq6WlNW3atJcvX/a40StMVVXVoUOHli1bxjUFj1T6sWI3TwSbFalnuwyaM769Tb5rCm95MfakPMUAACAASURBVLz9ii6JV9t3N96qTPJvo0K+KoqRCeK1TVL5Tt0lOQzHCHk8ECGkpaUlaMoGe3t7Eol08+ZNruVkMjkyMjI3N3f//v26urohISG+vr6nTp169OiRg4PD9evX9fT09PX1HRwcrly5Ympq2tjYWFtbu2/fPt5NsAKdnJyCg4M532vw1Vdf2dvbb9q0ifd9q4CvmzdvTpgwYcKECXfv3h01atSOHTvevXv38OFD3okA7ezsgoOD1dXVKysrjx8/jhDq6OiIi4vz8/PbtWtXU1NTdnb29evXEUL5+fl8i8rJyVm3bt3PP/+8efNmruwqLCyMiIggkUgPHjz4/fffBRUiaI8iETU8zuVcRZ06dSogIGDatGm3bt3C/0chKMi2tra4uLhFixbt2rWrvr7+5MmTQoJsb29PSEhYtGjR/PnzW1tb8/LyONfn+1e+n4v3rAkvWZZ+//332traqVOnLl26tKWlhc1mV1VV4bUK77EVFLmQvEKCTzcvkU6QGHg/EcE9VldXT548OTo6WkVF5e3bt4mJidiN8ZwHsKOjo7S0dN++ffjrz4V/Lt5gRL24OA87b2nED7siCAkJYbPZ2IwDSUlJL1++RCIekJaWlgMHDvj5+c2dO/fp06d3794VNOELb10ndrVGvB7gxVWt8UYlUuGiVp6Spwdvzca3zO6+qKUoMzOztrZ28uTJ/v7+TU1NBQUFFy5c4LumSAlTUFBw5cqVb7/9dufOnV3W/JznS6TGXbiWlpakpKRFixbNnTv3yZMnt27dwv+rzLcNZbPZjx8/trGxefPmDRKx5ifeURFO0E75BqyUxo0bl52dzTlr3tWrV8PCwgRNUskFr1RLS0uTkpLwd/8RP4BEKlXe0823HL7pR6Qv1OUVIXbkuC6vUEG1q5AeVF1dnZ2dnbe3d1tbW1FREec9dD1OSUlJWlraunXrdu3aVVVVhS2USj9W7OaJeLMi3WzvpuYsJCQE+4HJZIaHh/PtbeIItryYwsLCrVu3kslkvF/RJfH6+d2Kb1Um+bdRQSWInQlitE1S+U7dJZKos6VKKDIy8vDhw5WVlXz/qqKiEhYWdvr06devX/P+dfLkyZ6enhs3buRabmtr++23365cuRK7V83W1jY0NHTZsmUmJiY7duxYunSph4eHkZERVh1PnTrV1NQ0JyeH7yYIoYyMjK1bt+L322dkZBw6dMjX13fDhg3dcQuchLDR0KamJlnuVFtbW/LHoUFv09raKt1EJZiHGhoavr6+Dg4Op0+fzsvLk2IAoCeSVx5KxfLly8vLy7ujKwBkrEfnYc/l7+9fWVkJVxBOZnkYEhJy4cIF3n+E8GVra+vu7p6UlCTFwATpuZWqbCKXTQ8K6kPZ6LnZjktISAgLC+umeQN7Tx4qTiaIPY+5rO+aKykpwe+z5TV16tTq6ury8nK+f2UymXzvXjMyMqqoqMAfgq2qqsKeS6+oqGhrazMxMRkxYsT9+/cZDIaFhYWDg8OjR48EbYLhugUsICDg0qVLCjh6BRSQnp5eeHi4vKMA/6elpeX48eMhISHd0fdSkNNNoVCio6Px56CB8tHQ0BgzZszw4cNzc3NF3XbFihWDBw/ujqgUU3dclQpypQNJ2NjYODo63rt3j2t5SEiI7N9IJZedyld4eHhAQECXqwUHB+P3bogqLCyM+HvDJalU5UuWkXdrDwrITM/N9t5p6dKl9vb23VGy0mSCrB8hbG9v5/vSRDKZ7ObmNnLkyISEBEHPVBcVFdFoNEdHR64p3j9+/GhiYoLPFmZsbIy/GSQvL2/48OHm5uavXr3Kz88fNmzY4MGD9+7da2NjI2gThBBXAHv37v3+++9LS0uLiook+/RA+dXV1W3fvl3eUQAZUZDT3dbWFhkZKe8oQLcIDQ0dMGAAm81++/bt/v378XchEXfo0KHuCExhdcdVqSBXOhDbihUrLC0tk5OTOWeHwMTGxso+HrnsVI6If97Dhw8fPnxYvL0QnKRZ8kpVXnpu5EBeIGd6IkFPLktCyTJBpgNYqqqq1tbWDx48mD17touLy717996+ffv582d9fX1nZ2cdHZ3U1FQhNzrV19efOXNm48aNR48effToEYlEGjNmTGNjI/b/tMWLF//666/a2trLli3LzMzENsnLy/P393/+/DlC6PHjx9988w12Wxb2uhO+m/B69erVvn37tmzZsnHjRmw+OQAAAEAG9uzZI+8QAOjxetswLhCi51aqPTdyIC9KljNr166Vdwg9lZJlgkwfIRw9erS2tvaECRMoFEpubq6amtro0aM9PDwGDx6cl5cXGxuLT8coSHp6+uHDh7/66quUlJR9+/ZZWFjk5eW1t7dHRkZaWVklJydv3749Nzf30qVL2PoFBQX9+/d/+PAhQuj169c0Gg27CVbIJnz9888/aWlp27ZtE/LaWgAAAIAgMpm8devW9evX0+n01atXyzscAAAAAAAAFJ1MJ3G3sLAYOHDgvXv3ZDzVvxKDSdxBT9F7JkcEikxx8rBfv35ubm5lZWV+fn5///03wZfpAOWgOHkIejPIQ6AIIA+BIoA8lD2xJ3GX6SOEr1+/5vt6QQAAAKBXqaysPH/+PEKIa1ZHAAAAAAAAAF+yfgsh6IUSEhJ0dXW7o2RPT0/8pTZDhw6dN2+epqbmhg0bVFW7GJnFQiKRSNHR0ZwvoORdR1qh8pYmfO/dEQMAQKFoaGj8+OOPfn5++BIi1YJIhNQhdDo9PDxcU1NTWvsCCk5IMixevHj8+PEyjgcA6B/yLQ36h90EDhpQZFAfEifrtxAC5WZmZjZjxgxra2sVFZWSkpLTp09302sOfHx8pkyZgv1cXV2dmZlZVFQ0ceLEn3766cKFC+3t7difvLy8mpubb9++zbcQNpstx3e3yXfvSmzixIkeHh56enr//vvvqVOnsBeM9u3bd+nSpQMHDvzw4cPJkyfLysoErYkQGjNmjLe3N51Or6qqioqK4t0F39KMjY39/f3Nzc3fvXuXmpr65s0b3g01NTWHDBni6uqKvZKC809UKnXnzp3nz5/Pzs6WfCtvb+8JEyZQqdTi4uITJ05gL94S9HmBvMyZM+f48eOurq52dnbPnj1DgquFmTNnTp8+Hfu5uLhY8leYkUikRYsWHT16tLm5GVsivLYEPRSR0zp8+PC2tjbJT/3YsWOXLl3KuSQ5ORl7zQ4A0D8kDvqHACg3qA8lBANYQGrs7e2DgoIyMzPPnTvHYrEcHR0HDx6MzaDfJSsrK29v77i4OIL7Sk9PT09P9/T07N+/P/YGSTabHR8fz7WakZHRu3fvRPoUoKczNTWNi4trbGycPn26v79/TEwMiURauXLl48ePDxw4MGbMmNWrV2/atKmtrY13TYSQi4uLl5fX8ePHX79+3dHRwVu+oNKCgoLy8vLi4+PHjRu3YsWKLVu28G7r6empra1dWVmpo6PD9adp06aRSCS+n0iMrTQ1NXfu3NnR0REQEDB9+vSzZ8/yPTIEDifoRthwZJdvL0EIaWtrp6Sk3L17V1q7ZrPZ+/fv51wCtaVSInJaCwoKCgoKJN9XTk5OTk4O9jONRgsJCSHYAQBKD/qHAACAgfpQcjCABaSDQqEsXbo0LS3t/v372BK8I4sQsrS0nDNnjp6e3v3791NTU7W1tXft2oW/DDUkJMTCwiI9PR0hNHbsWC8vLwMDg7KysqNHjzY0NHDtiE6nL1myxMLCoqKi4uXLl/hy3g1DQkJsbW0RQgsWLPjmm2/wGw04JSQkhIWFNTQ0aGlp+fr62tnZkcnk1NRUrB7hClvCQ8RbGr53ExOTJUuWmJubMxiM0tJSLS2tEydOCNoKCHfq1Cnsh1u3bo0ZMwYhZGZmpqOjc/nyZTabff36dQ8PDysrq+LiYt41EUIzZ85MSkqqqKgQVD7f0kpKSszMzGJjY1taWm7cuOHj40OhUNra2ri2xd526unpyTUUZW5ubmVl9eTJE757JLgVnU7fsGFDWFhYe3s7djUhhB4/fmxnZyfoyIDuk5CQcOrUqVmzZlGp1LS0tKampsWLF2toaGRmZv7xxx8IIX19fV9fXxsbm7a2ttzc3F9//RVLGLxa4CxNW1ubtzLk2t3Bgwfnzp1Lp9NLSkqOHz+O3XaHCFS/WVlZEydO7LK2BD0OVyOI+DUofNvchISEY8eOzZkzp0+fPjk5OdgIuJB2itesWbOuXbvGWweCXgj6h12C/qHMSFIHAiA5qA+lAubAAtJhZWVFIpHwq5GLm5tbTEzM7t27XV1dra2teVdITk7Gblw0NTU9cuRIaGgoQsjT05NrNTKZvG7dupcvX27YsOHcuXOjR4/G/8S7YWxs7J07d86ePRsUFNTl97G1a9e2trZGR0fv3btXXV2dYNgiEVQamUxesWLFs2fPvv/++/T0dM4PJfUYehVLS0sGg4EQMjMzKy8vZ7PZ2HIGg8H19lV8TUNDQwqFMmHChPj4+J07d44dO5a3WL6lsdnsvLy8SZMmqaurT5w48dmzZ8S/uampqQUEBJw+fbqzs5P4pxO0FX5DFplMNjExcXNz42wauT4v6Fb29vbbtm1LTU318/ObPHnyjh07EhISZs6ciU0osG7dusrKyvDw8D179lhaWnp7ewspSltb++uvv963b9+aNWvodDrfdSZOnJiYmBgWFkYikebPn48vJ1KHiFRbgp6C97TyJoOgNnfMmDF79uyJiYkZN26cpaWl8HaKi7GxsZWVFTw8CDDQP+wS9A9lRuw6UG4RA+UC9aFUwAAWkA4DA4Pq6mpBf7127Vp9ff2bN2+Kior69+8vpJyzZ88yGIzm5uZ//vmHa5QBIWRhYaGionL58mUWi1VWVsY574/wDYUbOHCgvr5+ampqQ0MDg8HAv/ATDxtHp9N/+uknvrPiCSrNwsKCQqFcvny5ubm5rKzszp07RLYCwllZWc2YMePcuXMIISqVylkjs1gszhPEuSadTtfX129oaAgNDT1x4oSvr6+JiYm2tvaR/xo7dqyg0i5fvjx16tSEhIR58+ZdvHgRIcS1oaBQ/fz87t27J+q9u7xbffz4ccOGDdjAmZOT06FDh6KiosrLy58/fy7oyIBu9ddffzU3N+fm5ra2tv79998NDQ2lpaVVVVXGxsaWlpZqamoXL15kMpnV1dVdjgjExcWtWLEiOjqaxWKtWrWK7zrXrl378OFDY2NjRkbG8OHDOZdDHQIwvMkgqOm8du0a1iAWFRWZmZkJb6e4TJ48+caNGyKNyAMlBv1DDPQPFYHYdaD8QgZKBepDqYBHCIF0sFgsfX19QX+tqanBfmhublZTUxNSjouLi6ura79+/QwMDIqLi7n+SqfTOWeeZjKZenp6RDYUrm/fvhUVFby9beJhcyKRSHynJRJUGp1Or6ysxO/oaWpq6tOnj4Qx9HIeHh4uLi579+79+PEjQqi5uRn/LwFCiEqlNjY28l2zo6Ojqanp6tWrCKGSkpLCwkIbG5usrKygoCB8czc3N97S9PT0QkJCDh8+XFJSYmlpuWbNmp9++unjx4+cG/I1ZcoUNTW169evi/QBu9wqPz8/ODhYX1/fy8tr9erV+NPyXJ8XdCt8Ss7Pnz/X1tZiP7NYLDU1NS0trffv3+NXfXV1NedVzwubaLO2tvbkyZPYC194bxf/8OED9kNjY6OmpiaJRMLKhzoE4HiTQVDT+enTJ+wHJpOprq4uvJ3ipKGhMWLEiPDw8G78GKBHgf4hDvqHcid2HSj7UIFSgvpQKmAAC0jHy5cv+/TpY2trS+RiaGlpoVAoqqqq2Lcy/KKysrLy8fFJTU2tqKiwsbFxdnbm2pDJZHK+xdPQ0JDghsI1NjbiRUkIuwtGpE2YTCZnXSbo+SBA0KxZs3R0dPbs2YPXsNXV1Zz/PTM1NcWGqHjX/PDhg5qaGplMxpaw2ezW1lau8vmWZmdnV1VVhU1HVVxczGAwhg0blpWV1WW0U6dO1dXVdXFxwX51c3MzMTHpcrYFIlux2exPnz5dunQpJiYG+0S8nxfIS21tbd++ffExJkNDQ7z5F05VVZVEIvGmJeKYJ6tfv341NTX4dx4ugqpf0AsRbzqJt1OOjo5lZWX4FGwAQP8QA/1DBSRhegAgKqgPpQIeIQTS0djYePny5RUrVri5uenq6urq6rq7u+NfsLm0t7dXV1dPmTJFQ0PD3d2dRqNhy+l0emNjIzY7j6urK++GpaWlenp6Hh4eGhoa9vb2Tk5Owjdsbm42NTUlk7vI89LSUhUVldmzZ2tpaVlYWMh4fuvS0lIDA4NJkyZhHwqaT0nQ6XRXV9fU1FTOMZqysjI2mz158mRNTU1PT08Wi8VgMPiuWVtb+/r1ax8fHyqVamtra2Nj8/TpU65d8C2NwWCYm5vb29tTKJQhQ4ZYWVmVl5cTCXj9+vVB/3X37t2TJ08SmSuU71b44wkDBgzw8vLS1dXV0tKaNm3ay5cvOzs7+X5eIC9lZWUIoZkzZ2ppadHpdB8fn1u3bglZ38/PT19fX1dX18/Pr7CwsKWlhXedWbNm6erq0un0+fPnC3nCS1D1S7C2BD2L8NPaZZuLI95OOTk5FRYWShg2UCbQPxQb9A+7G/E6EACpgPpQKuAOLCA1mZmZtbW1kydP9vf3b2pqKigouHDhgqCVT506FRAQMG3atFu3bmHf5RBC+fn5o0aN2rFjx7t37x4+fMg7D1xLS0tSUtKiRYvmzp375MmTW7duYf+PErRhTk7OunXrfv75582bN/P9yodpa2uLi4tbtGjRrl276uvrT548KemxEEVLS8uBAwf8/Pzmzp379OnTu3fvUqlUWQagTExMTOh0+qFDh/AliYmJ+fn5CQkJQUFBc+bM+ffff48cOSJkzaNHjwYGBsbGxlZUVBw6dIj3QS02m81b2tu3b0+cODF//nzsVppffvnl1atXMvnE/w/2eEJdXZ2dnZ23t3dbW1tRUZHwzyv7IAFCqKOjIy4uzs/Pb9euXU1NTdnZ2cIfI+3Tp88PP/zQ2tr69OnT5ORkvusUFhZu3bqVTCY/ePDg999/F1Ia3+qXYG0JehbO08r71y7bXBzxdmrQoEHYu7oBwEH/UDzQP+xuxOtAAKQF6kPJkUSdvgsoFGwstqmpSZY71dbWhoftu8/y5cvLy8tFnRRJ8bW2tko3USEPgRiUNQ/xNxzLOxBASE/PQ2Vtp3qbnp6HvY2yXneQh0ARQB7KHj7TnKjgYQGgPPT09ESaOJZEIkVERGhra3dfSCLR0NAYM2bM8OHDc3Nz5R0LAAAAwA3aKdATQf8QCCFqegDQo/X0+hDBHVg9HdyBpRxCQ0MHDBjAZrPfvn17/vz50tJSeUckffCfDaAIlDUP4Q6snqUn5mFvaKd6m56Yh71Nb7juIA+BIoA8lD2x78CCAayeDQawQE8BDQNQBJCHQBFAHgJFAHkIFAHkIVAEkIeyB48QAgAAAAAAAAAAAADlBANYAAAAAAAAAAAAAEChyWEAy8LCwsLCgmuhlpbW+PHjx48fr6WlJfuQgNSRyeTNmzebm5vLZncUCiUqKgqehwVcIA8BAAAAxQHtMgAAYKA+FI8cBrDs7Ozs7Ow4l2hpaa1Zs8ba2tra2nrNmjUwhqUEOjs7k5OTZ8+ePXLkyISEBN4hS6mgUCgRERHLly/38PC4efNmVVUViUSKjo42MDAgXkhCQoKurm53hCeb8oEQPSgPkYBUUVVVDQ0NHTRokHibd0lDQ2PTpk2LFi0SdUMAFAFv2hO5+qBa7r4j4OnpGRAQgP08dOjQefPmaWpqbtiwQVVVlUhIwk8fnDglAO1yl6BdBkqM75WogF/fZAPqQ/F00Z+QjREjRnz69Ono0aMIocDAwBEjRty+fVveQQGRRUREpKenFxcXY7++f/8+JSVl2bJlUVFRCxcuTEpKam9vl+4eZ86cmZGRYWtrW11dnZeXhxBis9mRkZHS3QvoWRQ/D0NCQmxtbTmXZGVlnTlzhu/K7e3tBw8eDAoKSkxMbGlpkW7kCKE5c+acPHly9OjRQ4cOLSwslHr5vdbEiRM9PDz09PT+/fffU6dOvX//HiHUt2/fpUuXDhw48MOHDydPniwrKxO0JkJozJgx3t7edDq9qqoqKiqKdxd8SzM2Nvb39zc3N3/37l1qauqbN294N9TU1BwyZIirq2t9fT2eeHwXdrkVhkql7ty58/z589nZ2ZzLvb29J0yYQKVSi4uLT5w4wWQyhXxeaYFWgIuZmdmMGTOsra1VVFRKSkpOnz5dX1/fHTvy8fGZMmUK9nN1dXVmZmZRUdHEiRN/+umnCxcu4BWvl5dXc3OzoG4enD6lBO2ySKBd7iY9rl3mW1qXW2EUql3mxHkl4s1Br6r5oT6UnEIMYAFl1dDQsG/fPoRQfHx8d5SfkZGBEHr27Fl3FM7JysrK29s7Li6uu3cEuoOi5WFsbCxCiE6nR0VFrV27tsv1GxsbsU26A9YgXbhwoZvK77VMTU3j4uIaGxunT5/u7+8fExNDIpFWrlz5+PHjAwcOjBkzZvXq1Zs2bWpra+NdEyHk4uLi5eV1/Pjx169fd3R08JYvqLSgoKC8vLz4+Phx48atWLFiy5YtvNt6enpqa2tXVlbq6OgIX9jlVphp06aRSP/D3p3HNXGt/wM/CQQCAWQJLmyCRKnghlIpaOsCWq/YqijWQtVeFb0XtK1YqFtdbltFoVgUd8WiYougXovV2loVEdGKgChgK6hEBcQFSQjQsOT3x/zuvPLNRgghBPm8/wrDOc+cE57MGU5mzjDkq5iamm7atKm5uXnevHlTpkxJSUlR+M6o/aZCm3l4eISGhp49e/bYsWP19fXDhg3r379/Tk6OOnXbOvClpqampqb6+/vb29ufPXuWECKRSOSPur169Xry5EmbegGvH4zLKmBc7iBda1xWFk11LVqXGJcxHFBwPGwrvZjAunnz5ltvvRUeHk4I4XA4N2/eVFHYxcUlJCRk0KBBTCazoKBg586drT6CkcPhHDhw4ODBg+fOnSOEbNu2jb7O7f79+5988omW+gGyRo0aNWnSJGtr69LS0v379wsEAkJIQkLCgQMHAgMDe/TokZWVRR06pXE4nNmzZ7u7uzOZzOTk5Lt370ZHR9Ofn4iIiIsXL+bl5VlZWc2ePdvNza2xsfHGjRsnT56kDusJCQmrVq0yMjKKiopatWqVzDS2THDqPN7V1TUwMNDS0vLatWvJyclmZmYye3RxcUlNTVXWo7bGVxhn2bJlubm5GRkZhBA2mx0TE7NixQrqixFoJz3MQ2XUSRUVjZevrqJHOTk5KhovH9/Ozm7u3LlOTk58Pr+kpITD4SQlJWn6N3n9HT58mHqRkZHh4+NDCHF0dDQ3N09PT5dIJOfPn/fz8+PxeMXFxfIlCSFTp07dtWtXeXm5svgKo929e9fR0TEuLq6hoeHChQtBQUEsFkvmfJcQ8tNPPxFC/P39pU95FW5stRYhxMnJicfjFRQUUD9yuVw656nDJiEkPz+fXjpAYX/bQz7tqU+fQCBQkbSqPyyvBxaL9fHHH//444/Xrl2jtmRlZdG/1eLAx+Vy586d6+LiUl5efu/ePXq7fEX6e90PPvjg008/raurk282/edTczyFrgjjssIeYVzuUF1rXFbWNtW1KJ07LstndUJCwtGjR2fOnJmenn7x4kXqk7hw4ULp4WDLli3KjvytjkFdHY6HbaUXTyEUiUQ7duxgMpn19fU7duxQ8U+7p6fnpk2biouLP/300/nz51+/fl1mOS2FgoKCZCah16xZM2XKlClTpmD2qkM5ODjs27cvMjKSEOLv709v9/HxiYmJiY2NHT16tKurq0ytJUuWiMXiDRs2bN261djYWGFkBoOxdOnSioqK1atXx8TEuLq6BgQEKCymTnBfX9/Y2NgtW7Z4e3sPGDBAPk5iYiJ1v4OyHrU1vnyc7Ozs4cOHU+U9PT2Lioowe6UtepiHyqiTKioarzqTZXqkuvEy8ZlM5uLFi4uKij7//PPU1NS33npLzR6Bq6srn88nhDg6OpaVlUkkEmo7n8+XWUeTLmlra8tiscaMGbN9+/ZNmzaNGjVKPqzCaBKJJDc3d/z48cbGxuPGjSsqKpI/S9YuIyOjefPmHTlypKWlRXo7nfNMJtPOzs7X11d66oRC97edlKW96qRt9bD/GuDxeAwGg569kqGtgY/JZC5duvTevXtRUVHHjh2Tfp/lK8bFxV25ciUlJSU0NFTh7JU0zcZr6BIwLivsEcZl3egS43KrbVOm08dlhZ/TgQMHrl69+uLFi3QxZcOBfPVW//nq6nA8bCu9uAKLECISiVgsVm5urop/2lks1meffbZ79+5Lly5RW3777TfqhY2NzeLFiwcPHiwWizMzM5OSkuijQ79+/Tw8PP74448O7gEoQE+4Xr9+fejQofT2M2fOCAQCgUBQWFjo6OgofVO3s7OzlZVVTExMS0uLQCDg8/lmZmbykV1dXY2MjE6dOiWRSEQiUWpq6sKFC//73//SBZ4/fx4VFSVTSz443Z6ampqamprCwkJ7e3sV364o61Gb4v/111/ycfLy8j788EMOhyMSiby8vLAMnBbpWx6qoE6qqGi8fHUVPeLxeCoaLxOfEMJisahvAktLS69cudKjRw/1+9Vt8Xi89957LyEhgRBiYmIifYpWX18vvay1dEkul2tlZSUQCCIjI52dncPDwx88eCAQCLZu3UoV/v7775VFS09PX7ly5fvvv9/U1LR582ZCiJmZmXRF+RPW9ggJCcnOzpa+BUA65z09PcPCwiQSyYULF/78809l74w6uFxuZGTk6tWr5b8kVJb2Li4uKpJWxYfltWFtbV1VVaXst9oa+FxcXAwMDNLT0wkhpaWlmZmZlpaW6lRUTf3xtE1hQU9gXFbYI4zLOtBVxmXVbVOh50bCUgAAIABJREFUc8dlZYfuS5cu1dfXtxpTYfX2DCVdQrc9Hqq/Xxn6MoHl5OTE4XBkPkgyPDw8GAwGPXtFYzKZ69atu3HjxrZt2ywsLCIiImbPnk1dDGlsbPzZZ5/FxcVNnz694xoPynh5eXl7e/fp08fa2lr6qlf6rk+RSCQzZ9yzZ8/y8nKZLw3k2djYPH36lP5eoqqqSp1hW1nwFy9eUC/q6uqMjIw06FFb48vH+fvvvwsKCoYMGXLr1i1HR8fbt2+32h1Qk77loQrqpIqKxqvIZPkeqW68THwul1tRUUEXrq2txYlyq/z8/Ly8vLZu3fr8+XNCSF1dnXSamZiYCIVChSWbm5tra2t//vlnQsjdu3fv3Lnj5uZ28eLF0NBQurqvr698NEtLy4iIiL179969e9fV1TU8PHzz5s3Pnz+XrqhFEydONDIyOn/+vLICeXl5ixYtsrKymjRpUlhYGL2akkx/1cRgMBR+Sags7VUnrfqH/a6rvr7eyspK2W+1NfBxuVzpFX9FIhE9gaW6omrtH69Bn2FcVtgjjMsdrQuNyyrapkKnj8vKPqetLvijonp7hpIuAcfDttL1BBaHw3FwcKBe0BdbGRkZzZw58/Tp06qnZm1tbSsqKuS3u7m5GRsbHzlyRCKR1NbWHjhwIDIykprACgsL+/333x8+fChT5euvv6ZenDx58sCBA+3uFijA4/GCgoKSk5PLy8vd3Nzo++NUEwqFtra20lsaGhpYLJahoSE1wU+dGVdXV/fs2ZPBYFCfSVtbW/oj0abgCincozo9UjO+sjjXr18fM2YMk8m8efNmq4ckUJMe5mFHN14h+R61qfEikUj6P2Eul6txS7qJadOmmZubU1+OUVuqqqqo78wpDg4O1KmwfMlnz54ZGRkxmUxqi0QiEYvFMvEVRnN3d6+srKSWvSguLubz+YMHD5a+Yl+73n33XQsLCy8vL+pHX19fOzs7mWUaJBLJy5cvf/rpp9jYWKpH8v1VR1u/JCRIWkLu3bvXo0ePgQMHqnPGr/HAJxKJpB/FTR9n2nn4UnM8ha4I4zIF47KOda1xWVnbVOv0cVnZoVvhsvfy5Ktr8ROnn3A81IBO18DicDjh4eEsFovFYoWHh3M4HEKIk5PTkiVL+Hx+fn6+6uoikcjGxkZ+e69evcrLy+nJxcrKSupcavr06cbGxqdOnZKvQq+BhdmrjsPlcoVCIXXxp7e3t5q1SkpKDAwMpk+fzuFwXFxcfHx8mpqaqqqqJk6cyGazx44dS+UAdSHi1KlTORwOl8sNCgqilj+X3vvmzZtlrraVD66wDQr3qE6P1IyvLE5hYaGDg4O3t/fVq1fVfLugVXqYhx3deDV71GrjZapbW1uPHz+ezWZ7eHi8ficQ2sXlcr29vZOTk6XPBUtLSyUSyYQJE0xNTf39/evr6/l8vsKS1dXVDx48CAoKMjExGThwoJubm/wlmQqj8fl8JycnDw8PFov1xhtv8Hi8srKyjuvm8uXLQ//n6tWrhw4dSklJoXO+b9++kyZNsrCw4HA4kydPvnfvXktLi8L+dhAkrVAoTE9PX7x4sa+vr4WFhYWFxdixY+l/bGS0Z+CztLT08/Oj3mdPT0/VFevq6hwcHJjMVs4/1RxPoSvCuKysRxiXO06XG5cVRmu1VqePy206dMsPB/LVtfiJ0084HmpAp1dgjRgx4uXLl/v37yeEhIeHz58/n8VicTic06dP5+fn0zNQyhQWFtrY2AwbNkxmquv58+d2dnb05GLv3r2pq9kDAwOtrKxOnz5NFfPz83Nyctq3b1+H9A0IIYRERERQL0Qi0RdffDFy5MiNGzc+efIkJydHzaXaGhsb4+Pjg4ODo6Oja2pqDh06RAg5fPjwvHnzJk+enJGRQX0Um5ub4+PjQ0JCoqOja2trMzMz5S+Xlb+uVWFwheT3SAjJy8tT3SM14yuLI5FI8vPz3dzcHj16pM57BcroeR6qr9WUU598j9RpPK2hoWHHjh0hISEzZsy4ffv21atXTUxMNG7Ma8/Ozo7L5e7Zs4fesnPnzry8vISEhNDQ0MDAwIcPH1KDkbKS+/fvX7hwYVxcXHl5+Z49e+SfuSORSOSjPX78OCkpadasWdSXbD/88MP9+/d10uP/g8r5V69eubu7BwQENDY2FhYWqu5vRzQDSUsIOXv2bHV19YQJE+bMmVNbW3vr1q0TJ04oK6zZwNfQ0LBr167g4OAZM2YUFBRkZGRQV4Ioq5iVlbV06dJvv/125cqVDQ0Nyhqj/ngNXQLGZXV6hHG543S5cVlhNI3pbFxu06FbejhQVr2srExbnzj9geNhOzHUfKKBVrzzzjsDBgygJ7Dq6+tzc3P//PNPdRZ1owQFBQUGBu7fv//mzZsMBsPHx0coFGZnZ+/YsePKlSsnT540MzNbvnx5VlaW9PpkhJBly5YVFRWdO3eOELJt27bExMRWL/jqEqjp1draWl3u1MzMDAtPdJA5c+ZUVFSoOF/pusRisXYTFXnYiRYsWFBWVtYVExV52G3pVdIiD0EfIA9fJ3p1iGsT5CHoA+Sh7qm5Mpo8nd5CePPmTWtr64ULFy5cuJDD4aSkpOTn56s/e0UISU1N3bt37/vvv3/w4MHvvvvOxcUlNze3qalp3bp1PB4vMTHxm2++uXHjxk8//aQ6ztdff336fwwMDNrXLQBNWFparl69WnqLm5vbsGHDsrOzO6tJAK1is9k+Pj5Dhw69ceNGZ7cFQC1I2k4kP9KpxmAw1q5dq/BpSgCgEA5xANCt6PQKLEIIh8MZMWIEIeTmzZv0Iu6gMVyB9dpYvHixq6trUlJSYWFhZ7elQ+Cbja4uMjKyb9++Eonk8ePHx48fLykp6ewWaQJ52K3obdIiD0EfIA+7Or09xLUJ8hD0AfJQ9zS+AkvXE1igXZjAgq4CAwPoA+Qh6APkIegD5CHoA+Qh6APkoe51jVsIAQAAAAAAAKBVTCbzyy+/XL58OZfLDQsL6+zmAHQ+TGABAAAAAAAA6JdevXoVFRX9/vvvX3zxRac8WRhA32ACCwAAoAMxmcyVK1c6OTnpZncsFmv9+vVYHwBkIA8BAChd6HhYUVFx/Pjx/Pz8yMjIX375RettA+hyDPColy7N1NSUECIWi3W5UyMjIzy6EdqqublZu4mKPAQNdEoeSiSSe/fuBQUFtbS0rFq1qri4+NWrV1psA4XFYq1Zs4bH43G53JKSkjt37jAYjA0bNhQUFLTpab8JCQlXrlz5+++/pTcaGhouX768srKyurpag+qtYrPZn3/+uZOT0+3bt9tUsYtCHqqmWRapr6PjdxUYl0Ef4HjYKjabvX79+j59+tBDpGZxQAUcD3VP4+zFFVgAAABatnbt2oEDB9I/Pn369ODBg6NGjVq/fv2UKVMMDQ21vsepU6empaW9evWqqqrq0qVLhBCJRLJu3Tpla2RGRETs+7+Cg4OVBW9qatq9e/e0adPYbLbWW04ICQwMPHToUENDw6BBgzoifrel/3kIAKAbXeJ4KNNISmBg4Pfff08IcXd3p7bguArdmfY/qwAAACBDIBB89913hJDt27d3RPy0tDRCSFFRkZrl4+LiCCFcLnf9+vVLlixptbxQKKSqdISjR48SQk6cONFB8YGmb3moMR6PFxAQEB8f39E7AoDXVVc5HlJDZElJiRbaBND1YQILAACgw40aNWrSpEnW1talpaX79+8XCASEkISEhAMHDgQGBvbo0SMrKyslJUWmFofDmT17tru7O5PJTE5Ovnv3bnR0ND3fFBERcfHixby8PCsrq9mzZ7u5uTU2Nt64cePkyZONjY1U/FWrVhkZGUVFRa1ataqpqUmdprq6ugYGBlpaWl67di05ObmtjZevrqJHOTk5KhovH9/Ozm7u3LlOTk58Pr+kpITD4SQlJWn6N+mO9DAP5VOCyGWRmZmZzB5dXFxSU1OV9ait8RXGWbZsWW5ubkZGBiGEzWbHxMSsWLFCJBJp+U8CAJ1ED4+H8lTHkT/iAbz2cAshAABAh3NwcNi3b19kZCQhxN/fn97u4+MTExMTGxs7evRoV1dXmVpLliwRi8UbNmzYunWrsbGxwsgMBmPp0qUVFRWrV6+OiYlxdXUNCAhQWEzNpvr6+sbGxm7ZssXb23vAgAFtbbx8dRU9Ut14mfhMJnPx4sVFRUWff/55amrqW2+9pWaPgKaHeagwuOosIoQkJiZevnxZRY/aGl8+TnZ29vDhw6nynp6eRUVFmL0CeJ3o4fFQszgA3QomsAAAADpcSkoKn8+vq6u7fv269KOIzpw5IxAI+Hx+YWGho6OjdBVnZ2crK6vk5GSqQFZWlsLIrq6uRkZGp06dEolEVVVV8jM7z58/j4qKor6zVceZM2dqamoePXpUWFhob2/f1sbLV1fRI9WNl4nv4uLCYrHS09Pr6upKS0uvXLmiZo+Apm95qCy4iixSs0dtjS8fJy8vz9nZmcPhEEK8vLyuXr2qohkA0OXo2/FQgzgA3RBuIQQAgM63ZMmSy5cvFxQUdHZDOoqXl5e3t3efPn2sra2Li4vp7fQirCKRSOa73J49e5aXl7e0tKiObGNj8/TpU4lEQv1YVVXVo0eP9jT1xYsX1Iu6ujojI6O2Nl6+uooeqW68THwul1tRUUEXrq2tbWdPuyF9y0NlwVVkkZo9amt8+Th///13QUHBkCFDbt265ejo2E0ekQndx2s/7LZK346HHRcH4HWCCSx4TXh5eb355pu7du3q7IaAXjM2Nt66dWtycrKyL82gsyQlJf3rX/8qLCxsbm7u7LZoH4/HCwoKSk5OLi8vd3Nzo+9LUk0oFNra2kpvaWhoYLFYhoaG1KoZlpaWhJDq6uqePXsyGAzqHNfW1pb+57wTG6+QfI/a1HiRSGRlZUX/yOVyNW5J96SHeSgfXCGFe1SnR2rGVxbn+vXrY8aMYTKZN2/ebPVfVuie/vOf/9y+fZtaka1reb2H3Vbp4fFQXkeP7wBdEW4hhK7N09MzISFhwIAB/v7+hw4dUrOWv7//vHnz2rqvhIQECwuLttYihHz00UfvvPNOeyLLF1BRpSN2RwgxNDSMjIzs16+fior67++//46Pj5c+TWEwGBs2bLC2tpYpqfpdavVNVl87Q2mWzMq0Kck1+0QorGVubj5v3rxdu3YFBwfLXK7/euByuUKhkM/nE0K8vb3VrFVSUmJgYDB9+nQOh+Pi4uLj49PU1FRVVTVx4kQ2mz127FgbGxtCSGlpKSFk6tSpHA6Hy+UGBQVRy05L733z5s0aPyNcs8ar2aNWGy9T3draevz48Ww228PDoz1Tad2THuahfHCFbVC4R3V6pGZ8ZXEKCwsdHBy8vb1x/6D+0PhkrIPExsZ6enqqU1J6vOZwOJs2bZo/f76Njc38+fMVlqd6KnOW8sYbb0RHRw8aNEj9FnbPYbdVeng8lNemIRKgm8AVWKA1ERERAwcOvHLlCv1MqA8//NDLyysyMpL+3nLt2rWpqalvv/32m2++mZubK3PB1KBBgxYuXLhmzZra2lpCCJfLXbNmzaZNm54+fapwj+bm5qNGjVq/fv1HH30UFxcnFosJIZMmTaqrq6PWdtUHQ4cObWxs1Fl7Om53TU1Nu3fvDg0N3blzZ0NDg9bja5G9vf2UKVPeeOMNY2Pj6urqzMzMX375hf7tzJkzs7Oz6R8lEsm6devaFF+Lb7KO06P9OujzJRQKy8rKNm3alJub++jRI+0G7ywRERHUC5FI9MUXX4wcOXLjxo1PnjzJyclRuCi1vMbGxvj4+ODg4Ojo6JqaGmqO/vDhw/PmzZs8eXJGRgZ1atvc3BwfHx8SEhIdHV1bW5uZmXn+/HmZUAwGQ/1F3GXk5eVp0Hg1e6RO42kNDQ07duwICQmZMWPG7du3r169amJionFjugk9z0OFwRWS3yNRIznVjK8sjkQiyc/Pd3Nze22OS53C2dk5MDDQxcVFLBZfvHjx9OnTnd0ibZo+ffqff/7Z1lpubm4//fSTiYnJl19+mZiYqKKk9FkKNUWyfv36RYsWPXjwoD1PFXgth91W6fnxUL6Rn332mfpDJEA3wZBf8BK6EGqan5ru0RkzMzOFC1JEREScOHHi4cOH1I8sFis6OrqysvL8+fN5eXnURmoCq7i4eODAgWPHjpW/4y80NLShoeHw4cOEkKVLl96/f//nn39uU/PmzZv35MkT1cd3f39/e3v7tj58veMeWNtqZPkC7WmMBrtrP7FYrN1EVZaHAwcOXLx48S+//JKTkyMSiZydnd98802F/7TweLyAgID4+HiF8bvK84k1S2ZlWu219OdLs7eoc99YneUh6MCCBQvKysq64tk88rALmTNnTkVFRVdMs1bpJg9NTU2jo6OPHDmSl5dnbW3t5+d39OjR9uxF2SCiekxvk3HjxllaWp48eVK7tVSM1wobr63hUs/PZ3A8BH2APNQ9erG5tsIVWNBRhg0bxufz8/LyRo8eTU9gtSolJWXDhg0ZGRlcLtfa2nrnzp2EEDMzs+jo6CVLllBlIiIiLl68mJeXN2rUqEmTJllbW5eWlu7fv18gEFBXgRFCPvjgg08//bSuro6OzOVy586d269fvydPnpSUlNDb5YMQQhISEg4cOBAYGNijR4+srKyUlBSqsKura2BgoKWl5bVr15KTk2Ua/49//MPPz8/Y2PjKlStUFYXBORzO7Nmz3d3dmUxmcnJyTk5Oq5FpwcHBffr0oU5x5KtocXdqBlf4RtnZ2c2dO9fJyYnP55eUlHA4HG1Nr7SKxWL985///OGHH65fv05tKS4uphbmlM8iFxcXatEKZed2Tk5OM2bM4HK5xcXFSUlJ1FedCt8HKyur2bNnu7m5NTY23rhx4+TJk/JPlpH/Q2gcSlkyK6urrSSX+XzJF1b2UZVpfxfNLtAfbDbb09Nz6NChaWlpnd0WeH1YWlqGh4d/88039BY3N7dhw4adOHGiE1vV1VlaWjKZzJycnJaWlqdPn9KzVxqPgBRlY7o6w5D8cEzvl3ropEAg2Lt3r8we5c/x1KmlcLxWcUKiEH2WYmVlNXfuXB6P9/Tp00OHDvH5fAy7ANDdYA0s6Chvv/12bm5uXl6eu7u79LK7qgkEghMnTsyePTsoKCgpKUn1upIODg779u2LjIwkhPj7+xNC4uLiqBOL0NBQ6dkrJpO5dOnSe/fuRUZGHjt2TPped/kgFB8fn5iYmNjY2NGjR7u6ulIbfX19Y2Njt2zZ4u3tLXOxsYuLyzvvvPPVV18tXbqUngtQGHzJkiVisXjDhg1bt26lH26iIjLNz8+vf//+O3fupNaJlK+ixd2pGVz+jWIymYsXLy4qKvr88891/7jf/v37MxgMevZKtcTERNW3wo0bN27nzp2rVq1iMplBQUHURvn3gcFgLF26tKKiYvXq1TExMa6urgEBAfLR5P8QmoVSlswq6moryeU/X+rkrbwuml2gDyIjIxMSEmJiYt55551t27bV1NR0dovg9fHq1Svp2avFixcvWLAgMTGxPTdqQUVFRXl5+ZIlS2SeuqDxYKpMq2M6TWY4lt7v6tWr79+/f+HCBZm7AuXP8dSppeLkU4PGU9Hu378fGRl5/vz5RYsWqX9jOIZdAHht6HQCy8bGZsKECQEBAQEBAf/85z99fX11uXfQJS6X6+bmlp+fLxQKS0pKlC2bqlBWVpadnd2zZ8/ouxGVSUlJ4fP5dXV1169fV30zrIuLi4GBQXp6en19fWlpaWZmZqtBzpw5IxAI+Hx+YWEhvbzlmTNnampqHj16VFhYaG9vL72LlpYWExMTmafbygd3dna2srJKTk6mgtPPwlMRmTJ48GB/f//4+Pj6+nplVbS4O3WCK3yjXFxcWCxWenp6XV1daWnplStXVPxdtM7KyurZs2fUa1NT033/o1m0M2fOPHv2TCgUpqWlDRs2jNoo/z64uroaGRmdOnVKJBJVVVUpPMNT+IfQLJSyZFZRV1tJrvAtUr+wilpdIrtAH8TExCxZsmTp0qWbN2+WvvwQQOv27NkTFRVVWFjY2Q3p2iQSSWxs7OPHj9euXTtnzhx63TrNRsD2kx+O5fc7evRomVry53jq1FJx8qmBfv36USNgQ0PDtWvXCCF9+vRRsy6GXQB4bejuFkJjY+NFixbdv3+fur+Ux+PxeLzbt28LhUKdtQF0xtfXt6SkhPrj5ubmTpw48ezZs9QjYFv1j3/846+//nJ2dh4wYMBff/2loqSXl5e3t3efPn2sra2p28SU4XK50ivBi0Qi+iHcyoLQ9+WKRCL6wiX64bV1dXUyNzaXlZUdP358yZIllZWVycnJ1O7kg/fs2bO8vFz+adwqIlMCAwPPnj376tUrFVW0uDt1git8o7hcbkVFBf23rq2tlZnU61B1dXX05X51dXWhoaGmpqYar4hBz4UJhUJTU1PqMcby74ONjc3Tp0/pLldVVcl3WeEfQrNQypJZRV1tJbm8NhVWUatLZBcAAGhALBafOHHit99+mzVrVmRk5MaNG5uamjQbAdtPfjiW3y99ikiTP8dTp5aKk08N2NjY9O7dW/o7OUtLSzVXtsKwCwCvDd1NYPXu3dvAwODYsWPUQfDMmTMhISHLly+/ceOGdDGxWJybm0sfZ6ErYjKZo0aNsra2lh5l3dzc7t6922pde3t7f3////znP66urnPnzt2wYUNjY2NDQwOLxTI0NKRunaOGfx6PFxQUlJycXF5e7ubmpvp56iKRiH4CMSHE1taWetGmIK3KzMzMysoKCAj497//vX79eoXBhUIhvfc2OXjw4MKFC8vKyu7du6ewgHZ3p05whUQikfQdozK3DHS0v/76q0ePHgMHDpSf0FSYRaqZmZlRp4Z9+vR58eKFRCJR+D5UV1f37NmTmt4ihNja2sofweT/EBqHUpbMyupqN8lV0+BNblMLOze7AABAY0KhMDExMTY2tm/fvgwGQ7MRkKZsuGl1GJIfjtXcr8w5XnvGa83GypqamgcPHmzcuFF6o6GhIYZdAOhWdHoLYXNzMz2FL5FI/vvf/0o/zJ5ibW29aNEi+loAdaSlpam/xBLowMCBA01NTT/55JPQ/7l58+bbb7/dakUmkzl//vyffvqpuro6Jyfn+fPn1PIHTU1NVVVVEydOpJ4fTD17kcvlCoVCPp9PCJFeVqCurs7BwYHJ/D+5XVJSYmlp6efnx2azPTw8PD09qe3KgrQHn883NDRUFrykpMTAwGD69OkcDsfFxUX9myv5fP7BgwfDw8Pt7OwUFtDu7tQJrlBJSYm1tfX48eOpt7pDp0vkiUSiEydOLFq0aNSoURYWFsbGxjwej/qVwixSbdq0aRYWFlwud9asWdRl8wrfB+qRyVOnTuVwOFwuNygoKCMjQyaU/B+iPaEUJrOyutpNcoWfL5oGb3KbWti52QUAAG3l4uIyefJkS0tLFovl4eFhZGT08uVLjUdAmrLhptVhSH44btN+6XO89ozXmo2VVLSxY8ey2exW3wfVMOwCQNfVmU8hrK2tPXfunMxGBoOxevXqXr16UUdVaV9//TW9DA3l9OnTu3fv7thWQtuNHj06MzOTXqqJEPLzzz+vWrWKekqLCgEBAc3NzfQZwA8//LBmzZqcnJzHjx8fPnx43rx5kydPzsjIoE4a8vLyRo4cuXHjxidPnuTk5NALSGdlZS1duvTbb79duXJlQ0MDtbGhoWHXrl3BwcEzZswoKCignnKoIogG3N3dqbnXioqK77//XlnwxsbG+Pj44ODg6OjompqaQ4cOqb+LW7dunT59+rPPPtu0aZP8b7W+u1aDK9TQ0LBjx46QkJAZM2bcvn376tWr9IIXunH+/PmXL1++++67ISEhYrG4srLy8OHD1K/ks0i1O3furF27lsFg/PHHH7/88gtR8j40NzfHx8eHhIRER0fX1tZmZmbKP3Bd/g9RVlamWShlyaysrhaTnPzfz5fCAm19k9vUwk7PLgAAaJOqqqoJEyZs2LDBwMDg8ePHO3furK6u1ngwlaZsuFE9DMkPx+rsV/4crz3jdauNVKipqSkhISE4OHjWrFnUDSvUSR2GXQDoVhiql77Wor59+wYHByv8x1vGypUrjx49WlZWpvC3vXr12rFjx8yZM+ktaWlpoaGh1dXVKmIOHDhw9uzZ69ata2uz9Rz1TQu1rJjOmJmZKVzsJiIi4sSJE62uvE4ZOHDg2LFjd+3apeXGgZ5ZsGBBWVnZ+fPnxWKxdhNVWR5C90Fnl/pVkIegD5CHoA+Qh9BWGgy7rUIegj5AHuoeveJeW+n0FsKO4+bmtnv37mPHjoWFhRFCLCws0tLS6N9+/fXXGzZsuHr1qkyttLS0sWPHHjhw4Mcffxw7duyIESMSExN//PHHGTNmKAxCPQzF3Nx8+fLlR44cOXr0qPwDR7q51atXz5s3r9ViixYtioiI0EF7oBOx2WwfH5+hQ4fKrHMH0H7ILgAA6J4iIiLUf/6gtmDYBQA90Zm3EGqRv7//qlWrLC0tN23adPnyZfnbD+Pi4qgnzsoYPnz4J598MmLEiCVLlvz555/Lly/v3bv3xo0bL1y40NzcrHBfX375JZ/PX7JkibW1db9+/bTfmS4rLi5OzZJ79+7du3dvhzYGOlFkZGTfvn0lEsnjx4+3bdtWU1PT2S2C1weyCwAAujP1z7e1AsMuAOiV12QC69ixYy9fvnz58mVeXl7fvn3lJ7CUOXnypEgkunz58qJFi9LT06urq6urqx8/fmxvb68wSP/+/blc7sqVK5ubm1+9enX//n2t9gPgdRATE9PZTYDXFrILAABAZzDsAoBeeU1uIXz27Bn1ora2tk1PMHz16hX1or6+ng4iEomUBbGzs+Pz+couzgIAAAAAAAAAAK17TSawZNTX1xsZGbFYLOpHNZ8pq06Qmpoa3d+YT5bJAAAgAElEQVR2DgAAAAAAAADQnel0AsvAwIDBYKguw2AwDAwMJBJJe3bU2NhYUVExffp0ExOTyZMn9+zZU1tBCgsLmUzm3LlzzczMBgwYMH78+Pa0EwAAAAAAAAAAWqW7NbAqKyubm5tnzZql+hGVZmZmzc3NT58+befutm/f/sknn8yaNevs2bPFxcXaCtLY2Lhu3bp///vfBw8erK6u3rZtWzvbCQCdyNDQcNmyZcePH8d6dgAAAB3N39/f3t4+KSmJ+pHH4y1YsCAlJSU/P79zGwYAAF0Co3fv3jrbmY2NzfDhw42MjFSUEYvFubm5L1680FmrujTqxkbVc4JaZ2ZmpvCPuHbtWkdHR0JIdXX1r7/+ev78eULIuHHj/Pz8LC0tHz58ePjwYWpqUmFJeL2JxWLtJqqyPGwrc3Pz0NDQnTt3NjQ0qFO+Z8+eH3/8sbOz87Nnzw4dOlRaWkoI6d2795w5c5ycnJ48eZKcnPzo0aNWqyjcCB1Nb/MQuhXkIegDHedhUFDQxIkTqdcnTpw4e/assbHx/PnzDx48GBoa+v333wuFQi02BroKHA9BHyAPde/ly5eaVTQwMzPTblNUqK+vv3///j2V7t+/X19fr7MmtcrIyGj79u2//vprS0tLZ7dFAVNTU0KIWCzW5U6NjIwMDAzkt48ZM+bAgQMHDx588ODBxx9/fOfOnZqamrfffjs5Ofn06dM9e/YcM2bM1atXlZXUZRdA95qbm7WbqMrysK3EYnF2dnZTU5M6hRkMxvLly+/cubNnz56Wlpbg4OCLFy+2tLQsW7asoKBgz549hoaGM2fOvHDhguoqEolEYZz2dwdU09s8hG4FeQj6QMd5WFRUlJ6eXl9f/+rVq7S0NKoBOTk5TU1Nf/zxh45PZUF/4HgI+gB5qHsaz/no7hbCLkosFoeFhXV2K7oSiURSUlJSVVVlYWFBCDl8+DC1PSMjw8fHR0VJAK1ISEg4cOBAYGBgjx49srKyUlJSCCF2dnZz5851cnLi8/klJSUcDoe6f2HUqFGTJk2ytrYuLS3dv3+/QCBYtmxZbm5uRkYGIYTNZsfExKxYsUIkElHBHR0dzc3N09PTJRLJ+fPn/fz8eDze3bt3HR0d4+LiGhoaLly4EBQUxGKxevToERUVtWrVKjs7O/kqIpFIfqPGNzsDAADoLS6XO3fuXBcXl/Ly8nv37tHbrays5s6dy+Pxnj59eujQIT6fTwhJSEg4fPjwtGnTTExMfvzxx9ra2o8++ojNZp89e/bcuXOd1wkAANALr+dTCKETsVisESNGMJnMu3fvSm93dXWlTk1aLQnQTj4+PjExMbGxsaNHj3Z1dWUymYsXLy4qKvr8889TU1PfeustuqSDg8O+ffsiIyMJIf7+/oSQ7Ozs4cOHU7/19PQsKiqiZ68IIY6OjmVlZfRTJvh8fu/evSUSSW5u7vjx442NjceNG1dUVNTY2EgVYDAYCqso3NixbwoAAIDOMZnMpUuX3rt3Lyoq6tixY/QQTG2/f/9+ZGTk+fPnFy1aRD/oycPD46uvvkpOTg4JCZkwYcLGjRsTEhKmTp2K7zsBAABXYIE2RUREEEKamppOnTrV3NxMb+fxeO+9915CQkKrJQHa78yZMwKBQCAQFBYWUqutsVgs6nKn0tLSK1eu9OjRgypJXZ9FCLl+/frQoUMJIXl5eR9++CGHwxGJRF5eXpcvX5aObGJiUldXR/9YX19vaGhICElPT1+5cuX777/f1NS0efNmQsjz58+joqKUVTEwMFAYBwAA4HXi4uJiYGCQnp5OCCktLc3MzLS0tCSE9OvXjxqaCSHXrl2bMmVKnz59ysvLCSG//fZbXV3djRs3Zs+e/fvvv1MDemVlZe/evQUCQed2BwAAOhf+ZQJtiouLu3v3bs+ePanrvf/73/8SQvz8/Ly8vLZu3fr8+XPVJQG0gl4UUCQSGRsbc7nciooK+nKn2tpaegLLy8vL29u7T58+1tbW1B18f//9d0FBwZAhQ27duuXo6Hj79m3pyHV1dcbGxvSPJiYmQqHQ0tIyIiJi7969d+/edXV1DQ8P37x5M53tCqswmUz5jdp/IwAAADoVl8uVfra4SCSiJrBsbGx69+69b98++leWlpbUBBa9Lurff/9dXV1Nva6vr8eKyAAAgAks0DKJRPL06dOsrKzRo0cTQqZNm2Zubh4TEyO/QLVMSYAOIhKJrKys6B+5XC71gsfjBQUFJScnl5eXu7m50XcOXr9+fcyYMUwm8+bNmzJ5W1VVRV3SRXFwcPj555/d3d0rKysLCgoIIcXFxXw+f/DgwRcvXlRRxcjISH6jlrsNAADQ2UQikbW1Nf2jra0t9aKmpubBgwcbN27spHYBAECXhDWwQMsYDAaXy3377bdLS0u5XK63t3dycrLCx6tJl9R9O6H7KCkpsba2Hj9+PJvN9vDwoCequFyuUCiklmbz9vamyxcWFjo4OHh7e1MPzZRWWloqkUgmTJhgamrq7+9fX1/P5/P5fL6Tk5OHhweLxXrjjTd4PF5ZWRmXy928ebOhoaHCKgo36uwNAQAA0I2SkhJLS0s/Pz9qCPb09JTePnbsWDab3bktBACALgRXYIE2UStbCQSCP/74Iz093d3dncvl7tmzhy6wc+fOvLw8+ZKd1WDoDhoaGnbs2BESEjJjxozbt29fvXrVxMSEEJKXlzdy5MiNGzc+efIkJydnwIABVHmJRJKfn+/m5vbo0SOZUBKJJCEhITQ0NDAw8OHDh9S9D48fP05KSpo1a5atre2LFy9++OGH+/fvc7lcBoPBYDAUVlG4EQAA4DXT0NCwa9eu4ODgGTNmFBQUZGRkUNdBNzU1JSQkBAcHz5o1SywW5+bmHjp0qLMbCwAA+o6BR191aTY2NoSQ2tpaXe7UzMwMyxBAW4nFYu0mqsZ5uGDBgrKysvPnz6soM2fOnIqKCtVloCvSnzyE7gx5CPoAeQj6AHkI+gB5qHv0msVthVsIAaC7YLPZPj4+Q4cOvXHjhopibm5uw4YNy87O1lnDAAAAAAAAQDXcQggAr7/IyMi+fftKJJLHjx9v27aNfsKRvMWLF7u6uiYmJopEIl22EAAAAAAAAFTABBYAvP5iYmLULCm9ZBsAAAAAAADoCdxCCAAAAAAAAAAAeg0TWAAAAAAAAAAAoNcwgQUAAAAAAAAAAHoNE1jQ4RISEiwsLDoisr+//7x586jXgwYNmjlzpqmpaVRUlKFhK4u7UU1iMBgbNmywtrZWUUbLLQYAAAAA0C2FJ72qz4QVwukxAHQuPVrE3crKihBSXV3d2Q0BzTk6Or733nsDBgwwMDC4e/fukSNHVDzurT2CgoImTpxIva6qqjp79mxhYeG4ceM2b9584sSJpqYm6leTJk2qq6u7fPmywiASiWTdunUd0TzoROPGjfPz87O0tHz48OHhw4efPn1KCOnZs+fHH3/s7Oz87NmzQ4cOlZaWKitJCPHx8QkICOByuZWVlevXr5ffhcJovXv3njNnjpOT05MnT5KTkx89eiRf0dTU9I033vD29q6pqTl69KiKBrdai2JiYrJp06bjx49nZmZKbw8ICBgzZoyJiUlxcXFSUhL1RMVWdwQAAKB1XW5cVhit1VoUvR2XpU966dNjnAkDQJejF1dgMRiMoKCg5cuXL1++PCgoiMFgdHaLQBMeHh7Lly8vLS39+uuvV6xYkZ+f379/fzXr8ni8Tz/9VP19paamhoaGpqSkXLly5ezZs4QQiUSyffv2pUuXXrx4kS7Wq1cvIyOjNvUCujoHB4f4+PjPP//84cOHc+bMIYQwGIx//etfd+/ejYyMzMzMDAsLY7FYCksSQry8vCZNmvT999+Hh4crPEtWFi00NLSoqCgyMjInJ2fx4sUK2+bv7//GG29UVFQYGBioaLA6tSiTJ09WeMA0NTXdtGnT6tWrDQwMpkyZouaOAAAAtK5rjcvKoqmuResS4zJOjwGg69KLCawhQ4Y4Oztv2bJly5Ytzs7OQ4YM6ewWQZuxWKyPP/74xx9/PHfu3PPnz0UiUVZWVk5ODvVbV1fXr776avv27SEhIYQQMzOzhIQEum5ERMSnn36al5dHCBk1atRXX321Y8eOiIgIhZcoc7nciIiI7du3r1y50tLSkt4uXzEiImL06NEffPDBvn37TE1NFTabvhCaw+EsWLDg22+/3bp1q5eXl8JmQ5dw+PDhZ8+eNTQ0ZGRk9OnThxDi6Ohobm6enp4uEonOnz8vFot5P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ubW1tjY6O3rt3r7q6Om8JeOFkMnndunWvXr0KDQ29fv16cHAw5yyGgv7K+7l4z5rwkmVm8ODBTCYT73th7t27Z2xsrK+vz3cTvpELzyuM8MTmxPcEubm5xcTE7N6929XVVfh0bMKzjvgeuVRWVlZUVKxdu5bzbQYiHUAieyF+caH/f12wWCy+6wg67GPGjNmzZ09MTMy4ceMsLS0F7UJeqqury8rKrK2thR8Qrk9BJpNXrFjx7Nmz77//Pj09ffTo0YLK563riB95rlQkXg9g8OqF96rhjYp44eJVnoKCJHgR8dZsgsokkvxyZ2VlRSKR8NErLlznXUgTw8vDw2Pw4MGJiYmdnZ3Ca36ui5p4444Rcl1jufTy5cvQ0NBz5865uroKORT37t1zdnbGfnZycnr27BkWDMGaX6SOihAK0lDK3RdffJGXl5efn29nZyeoae4SXqny/gnrNWE/i1Gp8q0HuAhKvy5PMcErQrzIccKvUEF5TqQDQCaTTUxM3NzcOEfDexATE5OAgICEhITa2lquPwk5dwRbEPGaJ5x4fUUJs13s/RLHt7fJiXjLizj6FSQSaf78+XwLJNKrIdLPlw3x+od8ixJUgiSZ0CWR+hLS6qvLegBLRUVl4cKFT548OX78eGlpaXNzc0dHR3V19Z07d+Lj411dXe3t7WUcknAZGRliN669UEhIyOHDh0NDQ8+cOYPfDn327FkGg9Hc3PzPP//wvqOns7OTSqX26dMHX2Jpaammpnbx4kUmk4nNCIBfacKL4nXt2rUPHz40NjZmZGTgUw/yFiJkj1z++uuv5ubm3Nzc1tbWv//+u6GhobS0tKqqCitH1PA43bx5U9A3dkGHZdy4cQihgQMH6uvrp6amNjQ0MBgMvl0KvPBBgwZRKJTLly+3tLRg32r69euHrybor7yfi/esCS9ZZvr06VNTU8O1sKWlpaWlRdAckGJHTvB0CzpB165dq6+vf/PmTVFRUf/+/YXsSHjWEd8jFzabHRMT8/bt24iICH9/fyqVikQ5gAT3QvziIkjQYb927RoWSVFRkXRfcSCG6OhoMzOzkJCQI0eOfPHFF9jCuro6KpUq/IBwfQoLCwssOZubm8vKyoRMYsVb1xE/8lypSLwewAipu3ijErVwIjgDEFQOwYuIt2bjWybB5Jc7AwOD6upqQX/lOu+Cmhhew4YN8/T0jIuLY7FYItWfYjTuQq5rCwsLFRWVy5cvs1issrKy7OxsIYciPz9/4MCBWCXm4uJy9+5dkSIXqaMihII0lPJFp9NtbGweP37c2NhYWlo6ZswYsYvCKlXh64hRqfKtB7gISj9pXRHiRY4R+wrtsgPg5OR06NChqKio8vJyQaPbCm7q1KklJSUVFRW8fxJyrETthuGINE8YyfuKSKyckcp+hePb2+REsOXFA8P7FcOHDxd0HIj0ahSHGP1DvuUIKkGSTOiSSH0JafXVZf0Iobu7O4vFunnzJu/k/3V1dRkZGQsXLiwrKxMyKZ2FhYWfn9/QoUPJZPKTJ08SExM/ffrUzVEDomJjYxkMRmBgoIODAz57n4uLi6ura79+/QwMDHjf6FFeXn7+/Pm1a9dWVVWlpqa+f/+eRqO9f/8ez5Dq6mq8UhNeFK8PHz5gPzQ2NmpqapJIJDabzVuIkD1ywee+/fz5M/7fGxaLpaamJkZ4nLpMY94g9fT0EEJ9+/atqKgQPvkfXjiNRjM2Nj5y5Aj+Jz09PbwhF/RX3s/F96wJKVlmmpubeV8PpKGhoaGhIei2Z7EjJ3i6BZ0gvJvY3NyM5Y8gwrOO+B55tba2Xrhw4a+//po/f35oaOiOHTuIH0CCeyF+cREk6LDjSc5kMuV+R0xkZCTvJKaGhobYFIFCDgjXp6DT6ZWVlfjKTU1Ngo4eb11H/MhzpSLxeoArZoJRiVQ4EZwBCCqH4EXEW7PxLZP4JSZfLBZLyH/geM873yaG15w5czIzM+vq6pCI9acYjbuQ65pOp2MnCF9BUMAIoc+fPz958sTBwaGgoMDMzOzp06cjR44kHrlIHRUh+B4uMR7J6dHc3NxKS0sbGxsRQnl5eVOmTMnMzBTvjWBYpSp8HTEqVb71ABdB6SetK0K8yDFiX6FddgDy8/ODg4P19fW9vLxWr16tsLOMCZGenj5r1qyJEyfyPvEg5FiJ2g3DEWmeMJL3FZFYOSOV/XaJt7fJOfsYwZYXw/ebnfDgFeQbihBi9A/5liOoBEkyoUsi9SWk1VeX9QDWiBEjrl69Kqihwu7JGjJkyOPHj/mu4OTktHHjxvT09CNHjjCZzDFjxtjZ2cngzUqAOCaTefTo0R9//PHBgwevX7+2srLy8fFJTU2tqKiwsbHB7+HnlJ2dnZOT4+3tvWrVqqioqNra2r59++JVkqGhIXZtECmKi7a2Ntbo9uvXr6amhs1m8y1E0B5FIkZ4nDo6OrAfWlpaKBSKqqoqVrnjl72gIBsbGw0NDQkWXl9f//r16x07dvBdje9fBX0urrMmvGSZef78uZ6enp2dHeesum5ubuXl5Q0NDaqqqrzHVrzIiZ9uIidIbHyzRdQ9NjY2Jicnx8TEDBgwgO8BHDt2LHYAubbi2gvfYMS+uPiWJuFVJkdWVlb9+/d/+vSpsbEx8QPCZDI5ByAE3X6P+NV1Yh95keoBxFG9EIlK1MKJwAOQSnpw1Wx8y+zWi1qKXr582adPH1tbWyJjgsQTJiUlJTAwsLy8/OXLlyLVn1Js3BFCTCaT88s2fkYEtaH//PPPhAkTyGTyo0ePOjs7Ra35CXZUhOO7U74Nk7Iik8ljx441MDDg/DJpY2PT5TgUL7xSFXTG+SJYqXKdbr7l8E0/qVwRkkSOJLhChfegsF/ZbPanT58uXboUExNDJpMVfxyfS1NTU3x8/MaNG+vq6rhm8+mOfizx5olgsyL1bJdlc8bZ2ywrK+P8E5GWF8Pbr+hyvwryDUUQ8fqHfAmqUsTLBJGSrcsYpEumjxCqqan16dNH+JDnmzdv+vbty/dPFArl22+/PXjw4Pnz59+/f9/U1PTXX39ho1c0Gi0sLOyXX345ceJEYGAghUJBCEVFReEPzcbFxU2fPh37+dSpUzQaje8mCKGMjAwPD4/U1FSu6QxWrly5Y8cOVVV5vrexp2AymZcuXVq8eDGZTKbT6Y2Njdg8iMKnqGAwGNjhxSq1mTNnamlp0el0Hx8fbOJVQUU1NzebmpqSyXySedasWbq6unQ6ff78+Viq8C1E0B5FImp4gpa3t7dXV1dPmTIFe9k2jUYTHmRpaamKisrs2bO1tLQsLCyE341fWlqqp6fn7u6uoaFB8K/CzyB+1oSXLDNMJvPixYtBQUGjRo3S0tLS19f39PT86quvfvnlFyTg2AqKXEheoa4OCyeRTpCoBH0iInu0sLCYNm2anp4ehUKxt7dXU1P79OkT3wM4Y8aMtLS0Lj8X32BEvbjww863NOKHXUFgdaC7u/vq1avT0tIaGhpEOiClpaUGBgaTJk3S0NCwt7cX8sWet64Tu1oTox7AcV01vFGJVLiolacU0wOv2fiW2a0XtRQ1NjZevnx5xYoVbm5uurq6urq67u7uLi4ufFcmnjAMBiMlJWXNmjUmJiZEan78fInauAuH7drDwwO7OpycnLDlgtrQoqIiU1NTV1dX7LVK4tX8XXZUiMTMtVNBASslW1tbTU3Nr7/+Oui/Hj16hD9nTQReqa5aterMmTMNDQ0iHUDilSriON18y+GbflK5IiSMnMgVyjfPhfegBgwY4OXlpaurq6WlNW3atJcvX/a40StMVVXVoUOHli1bxjUFj1T6sWI3TwSbFalnuwyaM769Tb5rCm95MfakPMUAACAASURBVLz9ii6JV9t3N96qTPJvo0K+KoqRCeK1TVL5Tt0lOQzHCHk8ECGkpaUlaMoGe3t7Eol08+ZNruVkMjkyMjI3N3f//v26urohISG+vr6nTp169OiRg4PD9evX9fT09PX1HRwcrly5Ympq2tjYWFtbu2/fPt5NsAKdnJyCg4M532vw1Vdf2dvbb9q0ifd9q4CvmzdvTpgwYcKECXfv3h01atSOHTvevXv38OFD3okA7ezsgoOD1dXVKysrjx8/jhDq6OiIi4vz8/PbtWtXU1NTdnb29evXEUL5+fl8i8rJyVm3bt3PP/+8efNmruwqLCyMiIggkUgPHjz4/fffBRUiaI8iETU8zuVcRZ06dSogIGDatGm3bt3C/0chKMi2tra4uLhFixbt2rWrvr7+5MmTQoJsb29PSEhYtGjR/PnzW1tb8/LyONfn+1e+n4v3rAkvWZZ+//332traqVOnLl26tKWlhc1mV1VV4bUK77EVFLmQvEKCTzcvkU6QGHg/EcE9VldXT548OTo6WkVF5e3bt4mJidiN8ZwHsKOjo7S0dN++ffjrz4V/Lt5gRL24OA87b2nED7siCAkJYbPZ2IwDSUlJL1++RCIekJaWlgMHDvj5+c2dO/fp06d3794VNOELb10ndrVGvB7gxVWt8UYlUuGiVp6Spwdvzca3zO6+qKUoMzOztrZ28uTJ/v7+TU1NBQUFFy5c4LumSAlTUFBw5cqVb7/9dufOnV3W/JznS6TGXbiWlpakpKRFixbNnTv3yZMnt27dwv+rzLcNZbPZjx8/trGxefPmDRKx5ifeURFO0E75BqyUxo0bl52dzTlr3tWrV8PCwgRNUskFr1RLS0uTkpLwd/8RP4BEKlXe0823HL7pR6Qv1OUVIXbkuC6vUEG1q5AeVF1dnZ2dnbe3d1tbW1FREec9dD1OSUlJWlraunXrdu3aVVVVhS2USj9W7OaJeLMi3WzvpuYsJCQE+4HJZIaHh/PtbeIItryYwsLCrVu3kslkvF/RJfH6+d2Kb1Um+bdRQSWInQlitE1S+U7dJZKos6VKKDIy8vDhw5WVlXz/qqKiEhYWdvr06devX/P+dfLkyZ6enhs3buRabmtr++23365cuRK7V83W1jY0NHTZsmUmJiY7duxYunSph4eHkZERVh1PnTrV1NQ0JyeH7yYIoYyMjK1bt+L322dkZBw6dMjX13fDhg3dcQuchLDR0KamJlnuVFtbW/LHoUFv09raKt1EJZiHGhoavr6+Dg4Op0+fzsvLk2IAoCeSVx5KxfLly8vLy7ujKwBkrEfnYc/l7+9fWVkJVxBOZnkYEhJy4cIF3n+E8GVra+vu7p6UlCTFwATpuZWqbCKXTQ8K6kPZ6LnZjktISAgLC+umeQN7Tx4qTiaIPY+5rO+aKykpwe+z5TV16tTq6ury8nK+f2UymXzvXjMyMqqoqMAfgq2qqsKeS6+oqGhrazMxMRkxYsT9+/cZDIaFhYWDg8OjR48EbYLhugUsICDg0qVLCjh6BRSQnp5eeHi4vKMA/6elpeX48eMhISHd0fdSkNNNoVCio6Px56CB8tHQ0BgzZszw4cNzc3NF3XbFihWDBw/ujqgUU3dclQpypQNJ2NjYODo63rt3j2t5SEiI7N9IJZedyld4eHhAQECXqwUHB+P3bogqLCyM+HvDJalU5UuWkXdrDwrITM/N9t5p6dKl9vb23VGy0mSCrB8hbG9v5/vSRDKZ7ObmNnLkyISEBEHPVBcVFdFoNEdHR64p3j9+/GhiYoLPFmZsbIy/GSQvL2/48OHm5uavXr3Kz88fNmzY4MGD9+7da2NjI2gThBBXAHv37v3+++9LS0uLiook+/RA+dXV1W3fvl3eUQAZUZDT3dbWFhkZKe8oQLcIDQ0dMGAAm81++/bt/v378XchEXfo0KHuCExhdcdVqSBXOhDbihUrLC0tk5OTOWeHwMTGxso+HrnsVI6If97Dhw8fPnxYvL0QnKRZ8kpVXnpu5EBeIGd6IkFPLktCyTJBpgNYqqqq1tbWDx48mD17touLy717996+ffv582d9fX1nZ2cdHZ3U1FQhNzrV19efOXNm48aNR48effToEYlEGjNmTGNjI/b/tMWLF//666/a2trLli3LzMzENsnLy/P393/+/DlC6PHjx9988w12Wxb2uhO+m/B69erVvn37tmzZsnHjRmw+OQAAAEAG9uzZI+8QAOjxetswLhCi51aqPTdyIC9KljNr166Vdwg9lZJlgkwfIRw9erS2tvaECRMoFEpubq6amtro0aM9PDwGDx6cl5cXGxuLT8coSHp6+uHDh7/66quUlJR9+/ZZWFjk5eW1t7dHRkZaWVklJydv3749Nzf30qVL2PoFBQX9+/d/+PAhQuj169c0Gg27CVbIJnz9888/aWlp27ZtE/LaWgAAAIAgMpm8devW9evX0+n01atXyzscAAAAAAAAFJ1MJ3G3sLAYOHDgvXv3ZDzVvxKDSdxBT9F7JkcEikxx8rBfv35ubm5lZWV+fn5///03wZfpAOWgOHkIejPIQ6AIIA+BIoA8lD2xJ3GX6SOEr1+/5vt6QQAAAKBXqaysPH/+PEKIa1ZHAAAAAAAAAF+yfgsh6IUSEhJ0dXW7o2RPT0/8pTZDhw6dN2+epqbmhg0bVFW7GJnFQiKRSNHR0ZwvoORdR1qh8pYmfO/dEQMAQKFoaGj8+OOPfn5++BIi1YJIhNQhdDo9PDxcU1NTWvsCCk5IMixevHj8+PEyjgcA6B/yLQ36h90EDhpQZFAfEifrtxAC5WZmZjZjxgxra2sVFZWSkpLTp09302sOfHx8pkyZgv1cXV2dmZlZVFQ0ceLEn3766cKFC+3t7difvLy8mpubb9++zbcQNpstx3e3yXfvSmzixIkeHh56enr//vvvqVOnsBeM9u3bd+nSpQMHDvzw4cPJkyfLysoErYkQGjNmjLe3N51Or6qqioqK4t0F39KMjY39/f3Nzc3fvXuXmpr65s0b3g01NTWHDBni6uqKvZKC809UKnXnzp3nz5/Pzs6WfCtvb+8JEyZQqdTi4uITJ05gL94S9HmBvMyZM+f48eOurq52dnbPnj1DgquFmTNnTp8+Hfu5uLhY8leYkUikRYsWHT16tLm5GVsivLYEPRSR0zp8+PC2tjbJT/3YsWOXLl3KuSQ5ORl7zQ4A0D8kDvqHACg3qA8lBANYQGrs7e2DgoIyMzPPnTvHYrEcHR0HDx6MzaDfJSsrK29v77i4OIL7Sk9PT09P9/T07N+/P/YGSTabHR8fz7WakZHRu3fvRPoUoKczNTWNi4trbGycPn26v79/TEwMiURauXLl48ePDxw4MGbMmNWrV2/atKmtrY13TYSQi4uLl5fX8ePHX79+3dHRwVu+oNKCgoLy8vLi4+PHjRu3YsWKLVu28G7r6empra1dWVmpo6PD9adp06aRSCS+n0iMrTQ1NXfu3NnR0REQEDB9+vSzZ8/yPTIEDifoRthwZJdvL0EIaWtrp6Sk3L17V1q7ZrPZ+/fv51wCtaVSInJaCwoKCgoKJN9XTk5OTk4O9jONRgsJCSHYAQBKD/qHAACAgfpQcjCABaSDQqEsXbo0LS3t/v372BK8I4sQsrS0nDNnjp6e3v3791NTU7W1tXft2oW/DDUkJMTCwiI9PR0hNHbsWC8vLwMDg7KysqNHjzY0NHDtiE6nL1myxMLCoqKi4uXLl/hy3g1DQkJsbW0RQgsWLPjmm2/wGw04JSQkhIWFNTQ0aGlp+fr62tnZkcnk1NRUrB7hClvCQ8RbGr53ExOTJUuWmJubMxiM0tJSLS2tEydOCNoKCHfq1Cnsh1u3bo0ZMwYhZGZmpqOjc/nyZTabff36dQ8PDysrq+LiYt41EUIzZ85MSkqqqKgQVD7f0kpKSszMzGJjY1taWm7cuOHj40OhUNra2ri2xd526unpyTUUZW5ubmVl9eTJE757JLgVnU7fsGFDWFhYe3s7djUhhB4/fmxnZyfoyIDuk5CQcOrUqVmzZlGp1LS0tKampsWLF2toaGRmZv7xxx8IIX19fV9fXxsbm7a2ttzc3F9//RVLGLxa4CxNW1ubtzLk2t3Bgwfnzp1Lp9NLSkqOHz+O3XaHCFS/WVlZEydO7LK2BD0OVyOI+DUofNvchISEY8eOzZkzp0+fPjk5OdgIuJB2itesWbOuXbvGWweCXgj6h12C/qHMSFIHAiA5qA+lAubAAtJhZWVFIpHwq5GLm5tbTEzM7t27XV1dra2teVdITk7Gblw0NTU9cuRIaGgoQsjT05NrNTKZvG7dupcvX27YsOHcuXOjR4/G/8S7YWxs7J07d86ePRsUFNTl97G1a9e2trZGR0fv3btXXV2dYNgiEVQamUxesWLFs2fPvv/++/T0dM4PJfUYehVLS0sGg4EQMjMzKy8vZ7PZ2HIGg8H19lV8TUNDQwqFMmHChPj4+J07d44dO5a3WL6lsdnsvLy8SZMmqaurT5w48dmzZ8S/uampqQUEBJw+fbqzs5P4pxO0FX5DFplMNjExcXNz42wauT4v6Fb29vbbtm1LTU318/ObPHnyjh07EhISZs6ciU0osG7dusrKyvDw8D179lhaWnp7ewspSltb++uvv963b9+aNWvodDrfdSZOnJiYmBgWFkYikebPn48vJ1KHiFRbgp6C97TyJoOgNnfMmDF79uyJiYkZN26cpaWl8HaKi7GxsZWVFTw8CDDQP+wS9A9lRuw6UG4RA+UC9aFUwAAWkA4DA4Pq6mpBf7127Vp9ff2bN2+Kior69+8vpJyzZ88yGIzm5uZ//vmHa5QBIWRhYaGionL58mUWi1VWVsY574/wDYUbOHCgvr5+ampqQ0MDg8HAv/ATDxtHp9N/+uknvrPiCSrNwsKCQqFcvny5ubm5rKzszp07RLYCwllZWc2YMePcuXMIISqVylkjs1gszhPEuSadTtfX129oaAgNDT1x4oSvr6+JiYm2tvaR/xo7dqyg0i5fvjx16tSEhIR58+ZdvHgRIcS1oaBQ/fz87t27J+q9u7xbffz4ccOGDdjAmZOT06FDh6KiosrLy58/fy7oyIBu9ddffzU3N+fm5ra2tv79998NDQ2lpaVVVVXGxsaWlpZqamoXL15kMpnV1dVdjgjExcWtWLEiOjqaxWKtWrWK7zrXrl378OFDY2NjRkbG8OHDOZdDHQIwvMkgqOm8du0a1iAWFRWZmZkJb6e4TJ48+caNGyKNyAMlBv1DDPQPFYHYdaD8QgZKBepDqYBHCIF0sFgsfX19QX+tqanBfmhublZTUxNSjouLi6ura79+/QwMDIqLi7n+SqfTOWeeZjKZenp6RDYUrm/fvhUVFby9beJhcyKRSHynJRJUGp1Or6ysxO/oaWpq6tOnj4Qx9HIeHh4uLi579+79+PEjQqi5uRn/LwFCiEqlNjY28l2zo6Ojqanp6tWrCKGSkpLCwkIbG5usrKygoCB8czc3N97S9PT0QkJCDh8+XFJSYmlpuWbNmp9++unjx4+cG/I1ZcoUNTW169evi/QBu9wqPz8/ODhYX1/fy8tr9erV+NPyXJ8XdCt8Ss7Pnz/X1tZiP7NYLDU1NS0trffv3+NXfXV1NedVzwubaLO2tvbkyZPYC194bxf/8OED9kNjY6OmpiaJRMLKhzoE4HiTQVDT+enTJ+wHJpOprq4uvJ3ipKGhMWLEiPDw8G78GKBHgf4hDvqHcid2HSj7UIFSgvpQKmAAC0jHy5cv+/TpY2trS+RiaGlpoVAoqqqq2Lcy/KKysrLy8fFJTU2tqKiwsbFxdnbm2pDJZHK+xdPQ0JDghsI1NjbiRUkIuwtGpE2YTCZnXSbo+SBA0KxZs3R0dPbs2YPXsNXV1Zz/PTM1NcWGqHjX/PDhg5qaGplMxpaw2ezW1lau8vmWZmdnV1VVhU1HVVxczGAwhg0blpWV1WW0U6dO1dXVdXFxwX51c3MzMTHpcrYFIlux2exPnz5dunQpJiYG+0S8nxfIS21tbd++ffExJkNDQ7z5F05VVZVEIvGmJeKYJ6tfv341NTX4dx4ugqpf0AsRbzqJt1OOjo5lZWX4FGwAQP8QA/1DBSRhegAgKqgPpQIeIQTS0djYePny5RUrVri5uenq6urq6rq7u+NfsLm0t7dXV1dPmTJFQ0PD3d2dRqNhy+l0emNjIzY7j6urK++GpaWlenp6Hh4eGhoa9vb2Tk5Owjdsbm42NTUlk7vI89LSUhUVldmzZ2tpaVlYWMh4fuvS0lIDA4NJkyZhHwqaT0nQ6XRXV9fU1FTOMZqysjI2mz158mRNTU1PT08Wi8VgMPiuWVtb+/r1ax8fHyqVamtra2Nj8/TpU65d8C2NwWCYm5vb29tTKJQhQ4ZYWVmVl5cTCXj9+vVB/3X37t2TJ08SmSuU71b44wkDBgzw8vLS1dXV0tKaNm3ay5cvOzs7+X5eIC9lZWUIoZkzZ2ppadHpdB8fn1u3bglZ38/PT19fX1dX18/Pr7CwsKWlhXedWbNm6erq0un0+fPnC3nCS1D1S7C2BD2L8NPaZZuLI95OOTk5FRYWShg2UCbQPxQb9A+7G/E6EACpgPpQKuAOLCA1mZmZtbW1kydP9vf3b2pqKigouHDhgqCVT506FRAQMG3atFu3bmHf5RBC+fn5o0aN2rFjx7t37x4+fMg7D1xLS0tSUtKiRYvmzp375MmTW7duYf+PErRhTk7OunXrfv75582bN/P9yodpa2uLi4tbtGjRrl276uvrT548KemxEEVLS8uBAwf8/Pzmzp379OnTu3fvUqlUWQagTExMTOh0+qFDh/AliYmJ+fn5CQkJQUFBc+bM+ffff48cOSJkzaNHjwYGBsbGxlZUVBw6dIj3QS02m81b2tu3b0+cODF//nzsVppffvnl1atXMvnE/w/2eEJdXZ2dnZ23t3dbW1tRUZHwzyv7IAFCqKOjIy4uzs/Pb9euXU1NTdnZ2cIfI+3Tp88PP/zQ2tr69OnT5ORkvusUFhZu3bqVTCY/ePDg999/F1Ia3+qXYG0JehbO08r71y7bXBzxdmrQoEHYu7oBwEH/UDzQP+xuxOtAAKQF6kPJkUSdvgsoFGwstqmpSZY71dbWhoftu8/y5cvLy8tFnRRJ8bW2tko3USEPgRiUNQ/xNxzLOxBASE/PQ2Vtp3qbnp6HvY2yXneQh0ARQB7KHj7TnKjgYQGgPPT09ESaOJZEIkVERGhra3dfSCLR0NAYM2bM8OHDc3Nz5R0LAAAAwA3aKdATQf8QCCFqegDQo/X0+hDBHVg9HdyBpRxCQ0MHDBjAZrPfvn17/vz50tJSeUckffCfDaAIlDUP4Q6snqUn5mFvaKd6m56Yh71Nb7juIA+BIoA8lD2x78CCAayeDQawQE8BDQNQBJCHQBFAHgJFAHkIFAHkIVAEkIeyB48QAgAAAAAAAAAAAADlBANYAAAAAAAAAAAAAEChyWEAy8LCwsLCgmuhlpbW+PHjx48fr6WlJfuQgNSRyeTNmzebm5vLZncUCiUqKgqehwVcIA8BAAAAxQHtMgAAYKA+FI8cBrDs7Ozs7Ow4l2hpaa1Zs8ba2tra2nrNmjUwhqUEOjs7k5OTZ8+ePXLkyISEBN4hS6mgUCgRERHLly/38PC4efNmVVUViUSKjo42MDAgXkhCQoKurm53hCeb8oEQPSgPkYBUUVVVDQ0NHTRokHibd0lDQ2PTpk2LFi0SdUMAFAFv2hO5+qBa7r4j4OnpGRAQgP08dOjQefPmaWpqbtiwQVVVlUhIwk8fnDglAO1yl6BdBkqM75WogF/fZAPqQ/F00Z+QjREjRnz69Ono0aMIocDAwBEjRty+fVveQQGRRUREpKenFxcXY7++f/8+JSVl2bJlUVFRCxcuTEpKam9vl+4eZ86cmZGRYWtrW11dnZeXhxBis9mRkZHS3QvoWRQ/D0NCQmxtbTmXZGVlnTlzhu/K7e3tBw8eDAoKSkxMbGlpkW7kCKE5c+acPHly9OjRQ4cOLSwslHr5vdbEiRM9PDz09PT+/fffU6dOvX//HiHUt2/fpUuXDhw48MOHDydPniwrKxO0JkJozJgx3t7edDq9qqoqKiqKdxd8SzM2Nvb39zc3N3/37l1qauqbN294N9TU1BwyZIirq2t9fT2eeHwXdrkVhkql7ty58/z589nZ2ZzLvb29J0yYQKVSi4uLT5w4wWQyhXxeaYFWgIuZmdmMGTOsra1VVFRKSkpOnz5dX1/fHTvy8fGZMmUK9nN1dXVmZmZRUdHEiRN/+umnCxcu4BWvl5dXc3OzoG4enD6lBO2ySKBd7iY9rl3mW1qXW2EUql3mxHkl4s1Br6r5oT6UnEIMYAFl1dDQsG/fPoRQfHx8d5SfkZGBEHr27Fl3FM7JysrK29s7Li6uu3cEuoOi5WFsbCxCiE6nR0VFrV27tsv1GxsbsU26A9YgXbhwoZvK77VMTU3j4uIaGxunT5/u7+8fExNDIpFWrlz5+PHjAwcOjBkzZvXq1Zs2bWpra+NdEyHk4uLi5eV1/Pjx169fd3R08JYvqLSgoKC8vLz4+Phx48atWLFiy5YtvNt6enpqa2tXVlbq6OgIX9jlVphp06aRSP/D3p3HNXGt/wM/CQQCAWQJLmyCRKnghlIpaOsCWq/YqijWQtVeFb0XtK1YqFtdbltFoVgUd8WiYougXovV2loVEdGKgChgK6hEBcQFSQjQsOT3x/zuvPLNRgghBPm8/wrDOc+cE57MGU5mzjDkq5iamm7atKm5uXnevHlTpkxJSUlR+M6o/aZCm3l4eISGhp49e/bYsWP19fXDhg3r379/Tk6OOnXbOvClpqampqb6+/vb29ufPXuWECKRSOSPur169Xry5EmbegGvH4zLKmBc7iBda1xWFk11LVqXGJcxHFBwPGwrvZjAunnz5ltvvRUeHk4I4XA4N2/eVFHYxcUlJCRk0KBBTCazoKBg586drT6CkcPhHDhw4ODBg+fOnSOEbNu2jb7O7f79+5988omW+gGyRo0aNWnSJGtr69LS0v379wsEAkJIQkLCgQMHAgMDe/TokZWVRR06pXE4nNmzZ7u7uzOZzOTk5Lt370ZHR9Ofn4iIiIsXL+bl5VlZWc2ePdvNza2xsfHGjRsnT56kDusJCQmrVq0yMjKKiopatWqVzDS2THDqPN7V1TUwMNDS0vLatWvJyclmZmYye3RxcUlNTVXWo7bGVxhn2bJlubm5GRkZhBA2mx0TE7NixQrqixFoJz3MQ2XUSRUVjZevrqJHOTk5KhovH9/Ozm7u3LlOTk58Pr+kpITD4SQlJWn6N3n9HT58mHqRkZHh4+NDCHF0dDQ3N09PT5dIJOfPn/fz8+PxeMXFxfIlCSFTp07dtWtXeXm5svgKo929e9fR0TEuLq6hoeHChQtBQUEsFkvmfJcQ8tNPPxFC/P39pU95FW5stRYhxMnJicfjFRQUUD9yuVw656nDJiEkPz+fXjpAYX/bQz7tqU+fQCBQkbSqPyyvBxaL9fHHH//444/Xrl2jtmRlZdG/1eLAx+Vy586d6+LiUl5efu/ePXq7fEX6e90PPvjg008/raurk282/edTczyFrgjjssIeYVzuUF1rXFbWNtW1KJ07LstndUJCwtGjR2fOnJmenn7x4kXqk7hw4ULp4WDLli3KjvytjkFdHY6HbaUXTyEUiUQ7duxgMpn19fU7duxQ8U+7p6fnpk2biouLP/300/nz51+/fl1mOS2FgoKCZCah16xZM2XKlClTpmD2qkM5ODjs27cvMjKSEOLv709v9/HxiYmJiY2NHT16tKurq0ytJUuWiMXiDRs2bN261djYWGFkBoOxdOnSioqK1atXx8TEuLq6BgQEKCymTnBfX9/Y2NgtW7Z4e3sPGDBAPk5iYiJ1v4OyHrU1vnyc7Ozs4cOHU+U9PT2Lioowe6UtepiHyqiTKioarzqTZXqkuvEy8ZlM5uLFi4uKij7//PPU1NS33npLzR6Bq6srn88nhDg6OpaVlUkkEmo7n8+XWUeTLmlra8tiscaMGbN9+/ZNmzaNGjVKPqzCaBKJJDc3d/z48cbGxuPGjSsqKpI/S9YuIyOjefPmHTlypKWlRXo7nfNMJtPOzs7X11d66oRC97edlKW96qRt9bD/GuDxeAwGg569kqGtgY/JZC5duvTevXtRUVHHjh2Tfp/lK8bFxV25ciUlJSU0NFTh7JU0zcZr6BIwLivsEcZl3egS43KrbVOm08dlhZ/TgQMHrl69+uLFi3QxZcOBfPVW//nq6nA8bCu9uAKLECISiVgsVm5urop/2lks1meffbZ79+5Lly5RW3777TfqhY2NzeLFiwcPHiwWizMzM5OSkuijQ79+/Tw8PP74448O7gEoQE+4Xr9+fejQofT2M2fOCAQCgUBQWFjo6OgofVO3s7OzlZVVTExMS0uLQCDg8/lmZmbykV1dXY2MjE6dOiWRSEQiUWpq6sKFC//73//SBZ4/fx4VFSVTSz443Z6ampqamprCwkJ7e3sV364o61Gb4v/111/ycfLy8j788EMOhyMSiby8vLAMnBbpWx6qoE6qqGi8fHUVPeLxeCoaLxOfEMJisahvAktLS69cudKjRw/1+9Vt8Xi89957LyEhgRBiYmIifYpWX18vvay1dEkul2tlZSUQCCIjI52dncPDwx88eCAQCLZu3UoV/v7775VFS09PX7ly5fvvv9/U1LR582ZCiJmZmXRF+RPW9ggJCcnOzpa+BUA65z09PcPCwiQSyYULF/78809l74w6uFxuZGTk6tWr5b8kVJb2Li4uKpJWxYfltWFtbV1VVaXst9oa+FxcXAwMDNLT0wkhpaWlmZmZlpaW6lRUTf3xtE1hQU9gXFbYI4zLOtBVxmXVbVOh50bCUgAAIABJREFUc8dlZYfuS5cu1dfXtxpTYfX2DCVdQrc9Hqq/Xxn6MoHl5OTE4XBkPkgyPDw8GAwGPXtFYzKZ69atu3HjxrZt2ywsLCIiImbPnk1dDGlsbPzZZ5/FxcVNnz694xoPynh5eXl7e/fp08fa2lr6qlf6rk+RSCQzZ9yzZ8/y8nKZLw3k2djYPH36lP5eoqqqSp1hW1nwFy9eUC/q6uqMjIw06FFb48vH+fvvvwsKCoYMGXLr1i1HR8fbt2+32h1Qk77loQrqpIqKxqvIZPkeqW68THwul1tRUUEXrq2txYlyq/z8/Ly8vLZu3fr8+XNCSF1dnXSamZiYCIVChSWbm5tra2t//vlnQsjdu3fv3Lnj5uZ28eLF0NBQurqvr698NEtLy4iIiL179969e9fV1TU8PHzz5s3Pnz+XrqhFEydONDIyOn/+vLICeXl5ixYtsrKymjRpUlhYGL2akkx/1cRgMBR+Sags7VUnrfqH/a6rvr7eyspK2W+1NfBxuVzpFX9FIhE9gaW6omrtH69Bn2FcVtgjjMsdrQuNyyrapkKnj8vKPqetLvijonp7hpIuAcfDttL1BBaHw3FwcKBe0BdbGRkZzZw58/Tp06qnZm1tbSsqKuS3u7m5GRsbHzlyRCKR1NbWHjhwIDIykprACgsL+/333x8+fChT5euvv6ZenDx58sCBA+3uFijA4/GCgoKSk5PLy8vd3Nzo++NUEwqFtra20lsaGhpYLJahoSE1wU+dGVdXV/fs2ZPBYFCfSVtbW/oj0abgCincozo9UjO+sjjXr18fM2YMk8m8efNmq4ckUJMe5mFHN14h+R61qfEikUj6P2Eul6txS7qJadOmmZubU1+OUVuqqqqo78wpDg4O1KmwfMlnz54ZGRkxmUxqi0QiEYvFMvEVRnN3d6+srKSWvSguLubz+YMHD5a+Yl+73n33XQsLCy8vL+pHX19fOzs7mWUaJBLJy5cvf/rpp9jYWKpH8v1VR1u/JCRIWkLu3bvXo0ePgQMHqnPGr/HAJxKJpB/FTR9n2nn4UnM8ha4I4zIF47KOda1xWVnbVOv0cVnZoVvhsvfy5Ktr8ROnn3A81IBO18DicDjh4eEsFovFYoWHh3M4HEKIk5PTkiVL+Hx+fn6+6uoikcjGxkZ+e69evcrLy+nJxcrKSupcavr06cbGxqdOnZKvQq+BhdmrjsPlcoVCIXXxp7e3t5q1SkpKDAwMpk+fzuFwXFxcfHx8mpqaqqqqJk6cyGazx44dS+UAdSHi1KlTORwOl8sNCgqilj+X3vvmzZtlrraVD66wDQr3qE6P1IyvLE5hYaGDg4O3t/fVq1fVfLugVXqYhx3deDV71GrjZapbW1uPHz+ezWZ7eHi8ficQ2sXlcr29vZOTk6XPBUtLSyUSyYQJE0xNTf39/evr6/l8vsKS1dXVDx48CAoKMjExGThwoJubm/wlmQqj8fl8JycnDw8PFov1xhtv8Hi8srKyjuvm8uXLQ//n6tWrhw4dSklJoXO+b9++kyZNsrCw4HA4kydPvnfvXktLi8L+dhAkrVAoTE9PX7x4sa+vr4WFhYWFxdixY+l/bGS0Z+CztLT08/Oj3mdPT0/VFevq6hwcHJjMVs4/1RxPoSvCuKysRxiXO06XG5cVRmu1VqePy206dMsPB/LVtfiJ0084HmpAp1dgjRgx4uXLl/v37yeEhIeHz58/n8VicTic06dP5+fn0zNQyhQWFtrY2AwbNkxmquv58+d2dnb05GLv3r2pq9kDAwOtrKxOnz5NFfPz83Nyctq3b1+H9A0IIYRERERQL0Qi0RdffDFy5MiNGzc+efIkJydHzaXaGhsb4+Pjg4ODo6Oja2pqDh06RAg5fPjwvHnzJk+enJGRQX0Um5ub4+PjQ0JCoqOja2trMzMz5S+Xlb+uVWFwheT3SAjJy8tT3SM14yuLI5FI8vPz3dzcHj16pM57BcroeR6qr9WUU598j9RpPK2hoWHHjh0hISEzZsy4ffv21atXTUxMNG7Ma8/Ozo7L5e7Zs4fesnPnzry8vISEhNDQ0MDAwIcPH1KDkbKS+/fvX7hwYVxcXHl5+Z49e+SfuSORSOSjPX78OCkpadasWdSXbD/88MP9+/d10uP/g8r5V69eubu7BwQENDY2FhYWqu5vRzQDSUsIOXv2bHV19YQJE+bMmVNbW3vr1q0TJ04oK6zZwNfQ0LBr167g4OAZM2YUFBRkZGRQV4Ioq5iVlbV06dJvv/125cqVDQ0Nyhqj/ngNXQLGZXV6hHG543S5cVlhNI3pbFxu06FbejhQVr2srExbnzj9geNhOzHUfKKBVrzzzjsDBgygJ7Dq6+tzc3P//PNPdRZ1owQFBQUGBu7fv//mzZsMBsPHx0coFGZnZ+/YsePKlSsnT540MzNbvnx5VlaW9PpkhJBly5YVFRWdO3eOELJt27bExMRWL/jqEqjp1draWl3u1MzMDAtPdJA5c+ZUVFSoOF/pusRisXYTFXnYiRYsWFBWVtYVExV52G3pVdIiD0EfIA9fJ3p1iGsT5CHoA+Sh7qm5Mpo8nd5CePPmTWtr64ULFy5cuJDD4aSkpOTn56s/e0UISU1N3bt37/vvv3/w4MHvvvvOxcUlNze3qalp3bp1PB4vMTHxm2++uXHjxk8//aQ6ztdff336fwwMDNrXLQBNWFparl69WnqLm5vbsGHDsrOzO6tJAK1is9k+Pj5Dhw69ceNGZ7cFQC1I2k4kP9KpxmAw1q5dq/BpSgCgEA5xANCt6PQKLEIIh8MZMWIEIeTmzZv0Iu6gMVyB9dpYvHixq6trUlJSYWFhZ7elQ+Cbja4uMjKyb9++Eonk8ePHx48fLykp6ewWaQJ52K3obdIiD0EfIA+7Or09xLUJ8hD0AfJQ9zS+AkvXE1igXZjAgq4CAwPoA+Qh6APkIegD5CHoA+Qh6APkoe51jVsIAQAAAAAAAKBVTCbzyy+/XL58OZfLDQsL6+zmAHQ+TGABAAAAAAAA6JdevXoVFRX9/vvvX3zxRac8WRhA32ACCwAAoAMxmcyVK1c6OTnpZncsFmv9+vVYHwBkIA8BAChd6HhYUVFx/Pjx/Pz8yMjIX375RettA+hyDPColy7N1NSUECIWi3W5UyMjIzy6EdqqublZu4mKPAQNdEoeSiSSe/fuBQUFtbS0rFq1qri4+NWrV1psA4XFYq1Zs4bH43G53JKSkjt37jAYjA0bNhQUFLTpab8JCQlXrlz5+++/pTcaGhouX768srKyurpag+qtYrPZn3/+uZOT0+3bt9tUsYtCHqqmWRapr6PjdxUYl0Ef4HjYKjabvX79+j59+tBDpGZxQAUcD3VP4+zFFVgAAABatnbt2oEDB9I/Pn369ODBg6NGjVq/fv2UKVMMDQ21vsepU6empaW9evWqqqrq0qVLhBCJRLJu3Tpla2RGRETs+7+Cg4OVBW9qatq9e/e0adPYbLbWW04ICQwMPHToUENDw6BBgzoifrel/3kIAKAbXeJ4KNNISmBg4Pfff08IcXd3p7bguArdmfY/qwAAACBDIBB89913hJDt27d3RPy0tDRCSFFRkZrl4+LiCCFcLnf9+vVLlixptbxQKKSqdISjR48SQk6cONFB8YGmb3moMR6PFxAQEB8f39E7AoDXVVc5HlJDZElJiRbaBND1YQILAACgw40aNWrSpEnW1talpaX79+8XCASEkISEhAMHDgQGBvbo0SMrKyslJUWmFofDmT17tru7O5PJTE5Ovnv3bnR0ND3fFBERcfHixby8PCsrq9mzZ7u5uTU2Nt64cePkyZONjY1U/FWrVhkZGUVFRa1ataqpqUmdprq6ugYGBlpaWl67di05ObmtjZevrqJHOTk5KhovH9/Ozm7u3LlOTk58Pr+kpITD4SQlJWn6N+mO9DAP5VOCyGWRmZmZzB5dXFxSU1OV9ait8RXGWbZsWW5ubkZGBiGEzWbHxMSsWLFCJBJp+U8CAJ1ED4+H8lTHkT/iAbz2cAshAABAh3NwcNi3b19kZCQhxN/fn97u4+MTExMTGxs7evRoV1dXmVpLliwRi8UbNmzYunWrsbGxwsgMBmPp0qUVFRWrV6+OiYlxdXUNCAhQWEzNpvr6+sbGxm7ZssXb23vAgAFtbbx8dRU9Ut14mfhMJnPx4sVFRUWff/55amrqW2+9pWaPgKaHeagwuOosIoQkJiZevnxZRY/aGl8+TnZ29vDhw6nynp6eRUVFmL0CeJ3o4fFQszgA3QomsAAAADpcSkoKn8+vq6u7fv269KOIzpw5IxAI+Hx+YWGho6OjdBVnZ2crK6vk5GSqQFZWlsLIrq6uRkZGp06dEolEVVVV8jM7z58/j4qKor6zVceZM2dqamoePXpUWFhob2/f1sbLV1fRI9WNl4nv4uLCYrHS09Pr6upKS0uvXLmiZo+Apm95qCy4iixSs0dtjS8fJy8vz9nZmcPhEEK8vLyuXr2qohkA0OXo2/FQgzgA3RBuIQQAgM63ZMmSy5cvFxQUdHZDOoqXl5e3t3efPn2sra2Li4vp7fQirCKRSOa73J49e5aXl7e0tKiObGNj8/TpU4lEQv1YVVXVo0eP9jT1xYsX1Iu6ujojI6O2Nl6+uooeqW68THwul1tRUUEXrq2tbWdPuyF9y0NlwVVkkZo9amt8+Th///13QUHBkCFDbt265ejo2E0ekQndx2s/7LZK346HHRcH4HWCCSx4TXh5eb355pu7du3q7IaAXjM2Nt66dWtycrKyL82gsyQlJf3rX/8qLCxsbm7u7LZoH4/HCwoKSk5OLi8vd3Nzo+9LUk0oFNra2kpvaWhoYLFYhoaG1KoZlpaWhJDq6uqePXsyGAzqHNfW1pb+57wTG6+QfI/a1HiRSGRlZUX/yOVyNW5J96SHeSgfXCGFe1SnR2rGVxbn+vXrY8aMYTKZN2/ebPVfVuie/vOf/9y+fZtaka1reb2H3Vbp4fFQXkeP7wBdEW4hhK7N09MzISFhwIAB/v7+hw4dUrOWv7//vHnz2rqvhIQECwuLttYihHz00UfvvPNOeyLLF1BRpSN2RwgxNDSMjIzs16+fior67++//46Pj5c+TWEwGBs2bLC2tpYpqfpdavVNVl87Q2mWzMq0Kck1+0QorGVubj5v3rxdu3YFBwfLXK7/euByuUKhkM/nE0K8vb3VrFVSUmJgYDB9+nQOh+Pi4uLj49PU1FRVVTVx4kQ2mz127FgbGxtCSGlpKSFk6tSpHA6Hy+UGBQVRy05L733z5s0aPyNcs8ar2aNWGy9T3draevz48Ww228PDoz1Tad2THuahfHCFbVC4R3V6pGZ8ZXEKCwsdHBy8vb1x/6D+0PhkrIPExsZ6enqqU1J6vOZwOJs2bZo/f76Njc38+fMVlqd6KnOW8sYbb0RHRw8aNEj9FnbPYbdVeng8lNemIRKgm8AVWKA1ERERAwcOvHLlCv1MqA8//NDLyysyMpL+3nLt2rWpqalvv/32m2++mZubK3PB1KBBgxYuXLhmzZra2lpCCJfLXbNmzaZNm54+fapwj+bm5qNGjVq/fv1HH30UFxcnFosJIZMmTaqrq6PWdtUHQ4cObWxs1Fl7Om53TU1Nu3fvDg0N3blzZ0NDg9bja5G9vf2UKVPeeOMNY2Pj6urqzMzMX375hf7tzJkzs7Oz6R8lEsm6devaFF+Lb7KO06P9OujzJRQKy8rKNm3alJub++jRI+0G7ywRERHUC5FI9MUXX4wcOXLjxo1PnjzJyclRuCi1vMbGxvj4+ODg4Ojo6JqaGmqO/vDhw/PmzZs8eXJGRgZ1atvc3BwfHx8SEhIdHV1bW5uZmXn+/HmZUAwGQ/1F3GXk5eVp0Hg1e6RO42kNDQ07duwICQmZMWPG7du3r169amJionFjugk9z0OFwRWS3yNRIznVjK8sjkQiyc/Pd3Nze22OS53C2dk5MDDQxcVFLBZfvHjx9OnTnd0ibZo+ffqff/7Z1lpubm4//fSTiYnJl19+mZiYqKKk9FkKNUWyfv36RYsWPXjwoD1PFXgth91W6fnxUL6Rn332mfpDJEA3wZBf8BK6EGqan5ru0RkzMzOFC1JEREScOHHi4cOH1I8sFis6OrqysvL8+fN5eXnURmoCq7i4eODAgWPHjpW/4y80NLShoeHw4cOEkKVLl96/f//nn39uU/PmzZv35MkT1cd3f39/e3v7tj58veMeWNtqZPkC7WmMBrtrP7FYrN1EVZaHAwcOXLx48S+//JKTkyMSiZydnd98802F/7TweLyAgID4+HiF8bvK84k1S2ZlWu219OdLs7eoc99YneUh6MCCBQvKysq64tk88rALmTNnTkVFRVdMs1bpJg9NTU2jo6OPHDmSl5dnbW3t5+d39OjR9uxF2SCiekxvk3HjxllaWp48eVK7tVSM1wobr63hUs/PZ3A8BH2APNQ9erG5tsIVWNBRhg0bxufz8/LyRo8eTU9gtSolJWXDhg0ZGRlcLtfa2nrnzp2EEDMzs+jo6CVLllBlIiIiLl68mJeXN2rUqEmTJllbW5eWlu7fv18gEFBXgRFCPvjgg08//bSuro6OzOVy586d269fvydPnpSUlNDb5YMQQhISEg4cOBAYGNijR4+srKyUlBSqsKura2BgoKWl5bVr15KTk2Ua/49//MPPz8/Y2PjKlStUFYXBORzO7Nmz3d3dmUxmcnJyTk5Oq5FpwcHBffr0oU5x5KtocXdqBlf4RtnZ2c2dO9fJyYnP55eUlHA4HG1Nr7SKxWL985///OGHH65fv05tKS4uphbmlM8iFxcXatEKZed2Tk5OM2bM4HK5xcXFSUlJ1FedCt8HKyur2bNnu7m5NTY23rhx4+TJk/JPlpH/Q2gcSlkyK6urrSSX+XzJF1b2UZVpfxfNLtAfbDbb09Nz6NChaWlpnd0WeH1YWlqGh4d/88039BY3N7dhw4adOHGiE1vV1VlaWjKZzJycnJaWlqdPn9KzVxqPgBRlY7o6w5D8cEzvl3ropEAg2Lt3r8we5c/x1KmlcLxWcUKiEH2WYmVlNXfuXB6P9/Tp00OHDvH5fAy7ANDdYA0s6Chvv/12bm5uXl6eu7u79LK7qgkEghMnTsyePTsoKCgpKUn1upIODg779u2LjIwkhPj7+xNC4uLiqBOL0NBQ6dkrJpO5dOnSe/fuRUZGHjt2TPped/kgFB8fn5iYmNjY2NGjR7u6ulIbfX19Y2Njt2zZ4u3tLXOxsYuLyzvvvPPVV18tXbqUngtQGHzJkiVisXjDhg1bt26lH26iIjLNz8+vf//+O3fupNaJlK+ixd2pGVz+jWIymYsXLy4qKvr88891/7jf/v37MxgMevZKtcTERNW3wo0bN27nzp2rVq1iMplBQUHURvn3gcFgLF26tKKiYvXq1TExMa6urgEBAfLR5P8QmoVSlswq6moryeU/X+rkrbwuml2gDyIjIxMSEmJiYt55551t27bV1NR0dovg9fHq1Svp2avFixcvWLAgMTGxPTdqQUVFRXl5+ZIlS2SeuqDxYKpMq2M6TWY4lt7v6tWr79+/f+HCBZm7AuXP8dSppeLkU4PGU9Hu378fGRl5/vz5RYsWqX9jOIZdAHht6HQCy8bGZsKECQEBAQEBAf/85z99fX11uXfQJS6X6+bmlp+fLxQKS0pKlC2bqlBWVpadnd2zZ8/ouxGVSUlJ4fP5dXV1169fV30zrIuLi4GBQXp6en19fWlpaWZmZqtBzpw5IxAI+Hx+YWEhvbzlmTNnampqHj16VFhYaG9vL72LlpYWExMTmafbygd3dna2srJKTk6mgtPPwlMRmTJ48GB/f//4+Pj6+nplVbS4O3WCK3yjXFxcWCxWenp6XV1daWnplStXVPxdtM7KyurZs2fUa1NT033/o1m0M2fOPHv2TCgUpqWlDRs2jNoo/z64uroaGRmdOnVKJBJVVVUpPMNT+IfQLJSyZFZRV1tJrvAtUr+wilpdIrtAH8TExCxZsmTp0qWbN2+WvvwQQOv27NkTFRVVWFjY2Q3p2iQSSWxs7OPHj9euXTtnzhx63TrNRsD2kx+O5fc7evRomVry53jq1FJx8qmBfv36USNgQ0PDtWvXCCF9+vRRsy6GXQB4bejuFkJjY+NFixbdv3+fur+Ux+PxeLzbt28LhUKdtQF0xtfXt6SkhPrj5ubmTpw48ezZs9QjYFv1j3/846+//nJ2dh4wYMBff/2loqSXl5e3t3efPn2sra2p28SU4XK50ivBi0Qi+iHcyoLQ9+WKRCL6wiX64bV1dXUyNzaXlZUdP358yZIllZWVycnJ1O7kg/fs2bO8vFz+adwqIlMCAwPPnj376tUrFVW0uDt1git8o7hcbkVFBf23rq2tlZnU61B1dXX05X51dXWhoaGmpqYar4hBz4UJhUJTU1PqMcby74ONjc3Tp0/pLldVVcl3WeEfQrNQypJZRV1tJbm8NhVWUatLZBcAAGhALBafOHHit99+mzVrVmRk5MaNG5uamjQbAdtPfjiW3y99ikiTP8dTp5aKk08N2NjY9O7dW/o7OUtLSzVXtsKwCwCvDd1NYPXu3dvAwODYsWPUQfDMmTMhISHLly+/ceOGdDGxWJybm0sfZ6ErYjKZo0aNsra2lh5l3dzc7t6922pde3t7f3////znP66urnPnzt2wYUNjY2NDQwOLxTI0NKRunaOGfx6PFxQUlJycXF5e7ubmpvp56iKRiH4CMSHE1taWetGmIK3KzMzMysoKCAj497//vX79eoXBhUIhvfc2OXjw4MKFC8vKyu7du6ewgHZ3p05whUQikfQdozK3DHS0v/76q0ePHgMHDpSf0FSYRaqZmZlRp4Z9+vR58eKFRCJR+D5UV1f37NmTmt4ihNja2sofweT/EBqHUpbMyupqN8lV0+BNblMLOze7AABAY0KhMDExMTY2tm/fvgwGQ7MRkKZsuGl1GJIfjtXcr8w5XnvGa83GypqamgcPHmzcuFF6o6GhIYZdAOhWdHoLYXNzMz2FL5FI/vvf/0o/zJ5ibW29aNEi+loAdaSlpam/xBLowMCBA01NTT/55JPQ/7l58+bbb7/dakUmkzl//vyffvqpuro6Jyfn+fPn1PIHTU1NVVVVEydOpJ4fTD17kcvlCoVCPp9PCJFeVqCurs7BwYHJ/D+5XVJSYmlp6efnx2azPTw8PD09qe3KgrQHn883NDRUFrykpMTAwGD69OkcDsfFxUX9myv5fP7BgwfDw8Pt7OwUFtDu7tQJrlBJSYm1tfX48eOpt7pDp0vkiUSiEydOLFq0aNSoURYWFsbGxjwej/qVwixSbdq0aRYWFlwud9asWdRl8wrfB+qRyVOnTuVwOFwuNygoKCMjQyaU/B+iPaEUJrOyutpNcoWfL5oGb3KbWti52QUAAG3l4uIyefJkS0tLFovl4eFhZGT08uVLjUdAmrLhptVhSH44btN+6XO89ozXmo2VVLSxY8ey2exW3wfVMOwCQNfVmU8hrK2tPXfunMxGBoOxevXqXr16UUdVaV9//TW9DA3l9OnTu3fv7thWQtuNHj06MzOTXqqJEPLzzz+vWrWKekqLCgEBAc3NzfQZwA8//LBmzZqcnJzHjx8fPnx43rx5kydPzsjIoE4a8vLyRo4cuXHjxidPnuTk5NALSGdlZS1duvTbb79duXJlQ0MDtbGhoWHXrl3BwcEzZswoKCignnKoIogG3N3dqbnXioqK77//XlnwxsbG+Pj44ODg6OjompqaQ4cOqb+LW7dunT59+rPPPtu0aZP8b7W+u1aDK9TQ0LBjx46QkJAZM2bcvn376tWr9IIXunH+/PmXL1++++67ISEhYrG4srLy8OHD1K/ks0i1O3furF27lsFg/PHHH7/88gtR8j40NzfHx8eHhIRER0fX1tZmZmbKP3Bd/g9RVlamWShlyaysrhaTnPzfz5fCAm19k9vUwk7PLgAAaJOqqqoJEyZs2LDBwMDg8ePHO3furK6u1ngwlaZsuFE9DMkPx+rsV/4crz3jdauNVKipqSkhISE4OHjWrFnUDSvUSR2GXQDoVhiql77Wor59+wYHByv8x1vGypUrjx49WlZWpvC3vXr12rFjx8yZM+ktaWlpoaGh1dXVKmIOHDhw9uzZ69ata2uz9Rz1TQu1rJjOmJmZKVzsJiIi4sSJE62uvE4ZOHDg2LFjd+3apeXGgZ5ZsGBBWVnZ+fPnxWKxdhNVWR5C90Fnl/pVkIegD5CHoA+Qh9BWGgy7rUIegj5AHuoeveJeW+n0FsKO4+bmtnv37mPHjoWFhRFCLCws0tLS6N9+/fXXGzZsuHr1qkyttLS0sWPHHjhw4Mcffxw7duyIESMSExN//PHHGTNmKAxCPQzF3Nx8+fLlR44cOXr0qPwDR7q51atXz5s3r9ViixYtioiI0EF7oBOx2WwfH5+hQ4fKrHMH0H7ILgAA6J4iIiLUf/6gtmDYBQA90Zm3EGqRv7//qlWrLC0tN23adPnyZfnbD+Pi4qgnzsoYPnz4J598MmLEiCVLlvz555/Lly/v3bv3xo0bL1y40NzcrHBfX375JZ/PX7JkibW1db9+/bTfmS4rLi5OzZJ79+7du3dvhzYGOlFkZGTfvn0lEsnjx4+3bdtWU1PT2S2C1weyCwAAujP1z7e1AsMuAOiV12QC69ixYy9fvnz58mVeXl7fvn3lJ7CUOXnypEgkunz58qJFi9LT06urq6urqx8/fmxvb68wSP/+/blc7sqVK5ubm1+9enX//n2t9gPgdRATE9PZTYDXFrILAABAZzDsAoBeeU1uIXz27Bn1ora2tk1PMHz16hX1or6+ng4iEomUBbGzs+Pz+couzgIAAAAAAAAAAK17TSawZNTX1xsZGbFYLOpHNZ8pq06Qmpoa3d+YT5bJAAAgAElEQVR2DgAAAAAAAADQnel0AsvAwIDBYKguw2AwDAwMJBJJe3bU2NhYUVExffp0ExOTyZMn9+zZU1tBCgsLmUzm3LlzzczMBgwYMH78+Pa0EwAAAAAAAAAAWqW7NbAqKyubm5tnzZql+hGVZmZmzc3NT58+befutm/f/sknn8yaNevs2bPFxcXaCtLY2Lhu3bp///vfBw8erK6u3rZtWzvbCQCdyNDQcNmyZcePH8d6dgAAAB3N39/f3t4+KSmJ+pHH4y1YsCAlJSU/P79zGwYAAF0Co3fv3jrbmY2NzfDhw42MjFSUEYvFubm5L1680FmrujTqxkbVc4JaZ2ZmpvCPuHbtWkdHR0JIdXX1r7/+ev78eULIuHHj/Pz8LC0tHz58ePjwYWpqUmFJeL2JxWLtJqqyPGwrc3Pz0NDQnTt3NjQ0qFO+Z8+eH3/8sbOz87Nnzw4dOlRaWkoI6d2795w5c5ycnJ48eZKcnPzo0aNWqyjcCB1Nb/MQuhXkIegDHedhUFDQxIkTqdcnTpw4e/assbHx/PnzDx48GBoa+v333wuFQi02BroKHA9BHyAPde/ly5eaVTQwMzPTblNUqK+vv3///j2V7t+/X19fr7MmtcrIyGj79u2//vprS0tLZ7dFAVNTU0KIWCzW5U6NjIwMDAzkt48ZM+bAgQMHDx588ODBxx9/fOfOnZqamrfffjs5Ofn06dM9e/YcM2bM1atXlZXUZRdA95qbm7WbqMrysK3EYnF2dnZTU5M6hRkMxvLly+/cubNnz56Wlpbg4OCLFy+2tLQsW7asoKBgz549hoaGM2fOvHDhguoqEolEYZz2dwdU09s8hG4FeQj6QMd5WFRUlJ6eXl9f/+rVq7S0NKoBOTk5TU1Nf/zxh45PZUF/4HgI+gB5qHsaz/no7hbCLkosFoeFhXV2K7oSiURSUlJSVVVlYWFBCDl8+DC1PSMjw8fHR0VJAK1ISEg4cOBAYGBgjx49srKyUlJSCCF2dnZz5851cnLi8/klJSUcDoe6f2HUqFGTJk2ytrYuLS3dv3+/QCBYtmxZbm5uRkYGIYTNZsfExKxYsUIkElHBHR0dzc3N09PTJRLJ+fPn/fz8eDze3bt3HR0d4+LiGhoaLly4EBQUxGKxevToERUVtWrVKjs7O/kqIpFIfqPGNzsDAADoLS6XO3fuXBcXl/Ly8nv37tHbrays5s6dy+Pxnj59eujQIT6fTwhJSEg4fPjwtGnTTExMfvzxx9ra2o8++ojNZp89e/bcuXOd1wkAANALr+dTCKETsVisESNGMJnMu3fvSm93dXWlTk1aLQnQTj4+PjExMbGxsaNHj3Z1dWUymYsXLy4qKvr8889TU1PfeustuqSDg8O+ffsiIyMJIf7+/oSQ7Ozs4cOHU7/19PQsKiqiZ68IIY6OjmVlZfRTJvh8fu/evSUSSW5u7vjx442NjceNG1dUVNTY2EgVYDAYCqso3NixbwoAAIDOMZnMpUuX3rt3Lyoq6tixY/QQTG2/f/9+ZGTk+fPnFy1aRD/oycPD46uvvkpOTg4JCZkwYcLGjRsTEhKmTp2K7zsBAABXYIE2RUREEEKamppOnTrV3NxMb+fxeO+9915CQkKrJQHa78yZMwKBQCAQFBYWUqutsVgs6nKn0tLSK1eu9OjRgypJXZ9FCLl+/frQoUMJIXl5eR9++CGHwxGJRF5eXpcvX5aObGJiUldXR/9YX19vaGhICElPT1+5cuX777/f1NS0efNmQsjz58+joqKUVTEwMFAYBwAA4HXi4uJiYGCQnp5OCCktLc3MzLS0tCSE9OvXjxqaCSHXrl2bMmVKnz59ysvLCSG//fZbXV3djRs3Zs+e/fvvv1MDemVlZe/evQUCQed2BwAAOhf+ZQJtiouLu3v3bs+ePanrvf/73/8SQvz8/Ly8vLZu3fr8+XPVJQG0gl4UUCQSGRsbc7nciooK+nKn2tpaegLLy8vL29u7T58+1tbW1B18f//9d0FBwZAhQ27duuXo6Hj79m3pyHV1dcbGxvSPJiYmQqHQ0tIyIiJi7969d+/edXV1DQ8P37x5M53tCqswmUz5jdp/IwAAADoVl8uVfra4SCSiJrBsbGx69+69b98++leWlpbUBBa9Lurff/9dXV1Nva6vr8eKyAAAgAks0DKJRPL06dOsrKzRo0cTQqZNm2Zubh4TEyO/QLVMSYAOIhKJrKys6B+5XC71gsfjBQUFJScnl5eXu7m50XcOXr9+fcyYMUwm8+bNmzJ5W1VVRV3SRXFwcPj555/d3d0rKysLCgoIIcXFxXw+f/DgwRcvXlRRxcjISH6jlrsNAADQ2UQikbW1Nf2jra0t9aKmpubBgwcbN27spHYBAECXhDWwQMsYDAaXy3377bdLS0u5XK63t3dycrLCx6tJl9R9O6H7KCkpsba2Hj9+PJvN9vDwoCequFyuUCiklmbz9vamyxcWFjo4OHh7e1MPzZRWWloqkUgmTJhgamrq7+9fX1/P5/P5fL6Tk5OHhweLxXrjjTd4PF5ZWRmXy928ebOhoaHCKgo36uwNAQAA0I2SkhJLS0s/Pz9qCPb09JTePnbsWDab3bktBACALgRXYIE2UStbCQSCP/74Iz093d3dncvl7tmzhy6wc+fOvLw8+ZKd1WDoDhoaGnbs2BESEjJjxozbt29fvXrVxMSEEJKXlzdy5MiNGzc+efIkJydnwIABVHmJRJKfn+/m5vbo0SOZUBKJJCEhITQ0NDAw8OHDh9S9D48fP05KSpo1a5atre2LFy9++OGH+/fvc7lcBoPBYDAUVlG4EQAA4DXT0NCwa9eu4ODgGTNmFBQUZGRkUNdBNzU1JSQkBAcHz5o1SywW5+bmHjp0qLMbCwAA+o6BR191aTY2NoSQ2tpaXe7UzMwMyxBAW4nFYu0mqsZ5uGDBgrKysvPnz6soM2fOnIqKCtVloCvSnzyE7gx5CPoAeQj6AHkI+gB5qHv0msVthVsIAaC7YLPZPj4+Q4cOvXHjhopibm5uw4YNy87O1lnDAAAAAAAAQDXcQggAr7/IyMi+fftKJJLHjx9v27aNfsKRvMWLF7u6uiYmJopEIl22EAAAAAAAAFTABBYAvP5iYmLULCm9ZBsAAAAAAADoCdxCCAAAAAAAAAAAeg0TWAAAAAAAAAAAoNcwgQUAAAAAAAAAAHoNE1jQ4RISEiwsLDoisr+//7x586jXgwYNmjlzpqmpaVRUlKFhK4u7UU1iMBgbNmywtrZWUUbLLQYAAAAA0C2FJ72qz4QVwukxAHQuPVrE3crKihBSXV3d2Q0BzTk6Or733nsDBgwwMDC4e/fukSNHVDzurT2CgoImTpxIva6qqjp79mxhYeG4ceM2b9584sSJpqYm6leTJk2qq6u7fPmywiASiWTdunUd0TzoROPGjfPz87O0tHz48OHhw4efPn1KCOnZs+fHH3/s7Oz87NmzQ4cOlZaWKitJCPHx8QkICOByuZWVlevXr5ffhcJovXv3njNnjpOT05MnT5KTkx89eiRf0dTU9I033vD29q6pqTl69KiKBrdai2JiYrJp06bjx49nZmZKbw8ICBgzZoyJiUlxcXFSUhL1RMVWdwQAAKB1XW5cVhit1VoUvR2XpU966dNjnAkDQJejF1dgMRiMoKCg5cuXL1++PCgoiMFgdHaLQBMeHh7Lly8vLS39+uuvV6xYkZ+f379/fzXr8ni8Tz/9VP19paamhoaGpqSkXLly5ezZs4QQiUSyffv2pUuXXrx4kS7Wq1cvIyOjNvUCujoHB4f4+PjPP//84cOHc+bMIYQwGIx//etfd+/ejYyMzMzMDAsLY7FYCksSQry8vCZNmvT999+Hh4crPEtWFi00NLSoqCgyMjInJ2fx4sUK2+bv7//GG29UVFQYGBioaLA6tSiTJ09WeMA0NTXdtGnT6tWrDQwMpkyZouaOAAAAtK5rjcvKoqmuResS4zJOjwGg69KLCawhQ4Y4Oztv2bJly5Ytzs7OQ4YM6ewWQZuxWKyPP/74xx9/PHfu3PPnz0UiUVZWVk5ODvVbV1fXr776avv27SEhIYQQMzOzhIQEum5ERMSnn36al5dHCBk1atRXX321Y8eOiIgIhZcoc7nciIiI7du3r1y50tLSkt4uXzEiImL06NEffPDBvn37TE1NFTabvhCaw+EsWLDg22+/3bp1q5eXl8JmQ5dw+PDhZ8+eNTQ0ZGRk9OnThxDi6Ohobm6enp4uEonOnz8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" alt="Schedule Task — Kanban"></div>
+<p class="rg"><b>Lane</b>: một cột mỗi trạng thái · <b>Thẻ</b>: kéo đổi lane · double-click sửa · chuột phải: Chạy ngay / Lịch sử</p>
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i on">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="i">Cài đặt</div><div class="acct"><span>👤 local</span><span class="lang">VN ▾</span><span class="thm">🌙</span></div></div><div class="main"><div class="r tb"><div class="tab on">Kanban</div><div class="tab">Lịch</div><div class="grow"></div><div class="btn pri">+ Task</div><div class="btn">✨ AI tạo</div></div><div class="r grow k7"><div class="c lane"><div class="hd2">BACKLOG (2)</div><div class="card">[AI] Xuất DS khách hàng B2B<span class="s">Chưa đặt lịch</span></div><div class="card">Rà soát bảo mật trước release<span class="s">high</span></div><div class="grow"></div></div><div class="c lane"><div class="hd2">ĐÃ LÊN LỊCH (2)</div><div class="card">Quét lại chỉ mục ISO<span class="s">08-11 14:32</span></div><div class="card">Báo cáo doanh thu 08:00<span class="s">08-09 14:32</span></div><div class="grow"></div></div><div class="c lane warn"><div class="hd2">ĐANG CHẠY (1) ⚠</div><div class="card">Đồng bộ heartbeat trạm sạc<span class="s">08-08 · high</span></div><div class="grow"></div></div><div class="c lane"><div class="hd2">CHỜ DUYỆT (1)</div><div class="card">Chờ kế toán duyệt số liệu T7<span class="s">Chưa đặt lịch</span></div><div class="grow"></div></div><div class="c lane"><div class="hd2">XONG (2)</div><div class="card">Sao lưu CSDL hằng đêm<span class="s">08-07 · critical</span></div><div class="card">[AI] Slide tổng kết Q3<span class="s">Thành công</span></div><div class="grow"></div></div><div class="c lane"><div class="hd2">LỖI (1)</div><div class="card">Kiểm tra chứng chỉ TLS<span class="s">critical · Lỗi</span></div><div class="grow"></div></div><div class="c lane"><div class="hd2">TẠM DỪNG (1)</div><div class="card">Dọn log cũ hơn 90 ngày<span class="s">low</span></div><div class="grow"></div></div></div><div class="stat">Đủ <b>7 lane</b> theo <code>core.tasks.STATUSES</code> — không gộp, không giấu lane nào. Lane hẹp lại để vừa một màn, hết cuộn ngang.</div></div><div class="dock fab" title="AI Assistant — trợ lý cách dùng app"><span class="spark">✨</span></div></div>
+<details class="ctl"><summary>Kiểm kê control — <b>23</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>Thêm Task</td><td class="mut">nút</td><td><code>self._add_task</code></td><td class="mut">ui\schedule_task_tab.py:88</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>AI tạo Task</td><td class="mut">nút</td><td><code>self._ai_create</code></td><td class="mut">ui\schedule_task_tab.py:92</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._on_view_changed</code></td><td class="mut">ui\schedule_task_tab.py:95</td><td class="mv">→ đổi thành cặp tab Kanban | Lịch</td></tr><tr><td>len(runs</td><td class="mut">bảng</td><td><code>self._open_artifact</code></td><td class="mut">ui\schedule_task_tab.py:436</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>QDialogButtonBox.Close</td><td class="mut">nút hộp thoại</td><td><code>—</code></td><td class="mut">ui\schedule_task_tab.py:461</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Project/workspace mà agent của task này sẽ chạy trong đó — á</td><td class="mut">droplist</td><td><code>—</code></td><td class="mut">ui\schedule_task_tab.py:523</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>vd: Mỗi thứ 2 lúc 9h, dùng Code đọc dữ liệu CAE mới tạo báo </td><td class="mut">ô nhập nhiều dòng</td><td><code>—</code></td><td class="mut">ui\schedule_task_tab.py:537</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Đường dẫn tệp local, cách nhau bằng ;</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\schedule_task_tab.py:544</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Chọn tệp…</td><td class="mut">nút</td><td><code>self._ai_pick_files</code></td><td class="mut">ui\schedule_task_tab.py:546</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>https://…  các link, cách nhau bằng ;</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\schedule_task_tab.py:553</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tạo kế hoạch</td><td class="mut">nút</td><td><code>self._generate</code></td><td class="mut">ui\schedule_task_tab.py:557</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tạo template Excel…</td><td class="mut">nút</td><td><code>self._export_template</code></td><td class="mut">ui\schedule_task_tab.py:571</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Chọn file…</td><td class="mut">nút</td><td><code>self._pick_import_file</code></td><td class="mut">ui\schedule_task_tab.py:576</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>QDialogButtonBox.Ok | QDialogButtonBox.Cancel</td><td class="mut">nút hộp thoại</td><td><code>—</code></td><td class="mut">ui\schedule_task_tab.py:592</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Chạy ngay</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\schedule_task_tab.py:309</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Sửa task</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\schedule_task_tab.py:310</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Nhân bản task</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\schedule_task_tab.py:311</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>schedtask.menu_resume' if paused else 'schedtask.menu_pause</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\schedule_task_tab.py:313</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xem log</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\schedule_task_tab.py:314</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Lịch sử chạy…</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\schedule_task_tab.py:315</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tạo task tiếp theo từ output</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\schedule_task_tab.py:316</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xóa task</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\schedule_task_tab.py:318</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>schedtask.menu_delete_selected', n=len(selected</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\schedule_task_tab.py:348</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li><b>7 lane bị cắt ở mép phải</b> — lane <i>Paused</i> mất một nửa.</li><li>Kéo-thả <b>có tác dụng thật</b>: thả vào <i>Running</i> là <b>chạy task ngay</b> (<code>schedule_task_tab.py:265</code>), không cảnh báo.</li><li>Kanban/Calendar là combo, không phải tab.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Giữ <b>đủ 7 lane</b>, thu hẹp cho vừa một màn. Không gộp lane nào.</li><li>Combo → cặp tab <b>Kanban | Lịch</b>.</li><li>Lane <i>Running</i> có viền cảnh báo.</li></ul></div>
+</div></div></section><section class="sec" id="schedule-calendar">
+<div class="hd"><b>3. Schedule Task — Calendar</b><span class="tag">ui/calendar_view.py:88</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Cùng dữ liệu Kanban, xếp theo ngày.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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ZH0sxJjj6txJzkUH/a0TJ0aSJlwwmr+b63zYE76b5H47o7Gi0e2IoQwtSihS7tSKfROq55cOFJ1oX5HUy4/6U2pnpbbrz2duO1tyM8zR6s7HLobrrfsfh+LiZzeqnVwZ+rw/hm9/PO6x4a6DK2f9uOEDLC02z1KIdFJxO6/PyIX1ghX3mAq0ngEPslp181VfaKEGJgYDBmzJgxY8a0bds2Pj7+n3/+SUhIcHJyogrlf02UuXr1as+ePXv06BEVFVXtG5m8bdu2DRs2bMGCBZGRkVwuNzk5ec2aNZcuXaLRaNRnZolEsnTpUltb29OnT+/YsePFixeHDx9WJ+aaTcXFxV2+fPngwYOhoaHVslfnzp2LjY399ddfGzN7RagEVqW09s9wYgmtpYE2IURQIq61MjQeqaQ+a3M4nN9++42aZuXRo0d+fn6rVq2iMlPXr18nhIwaNervv/8+ffq0s7OzbC1HR8eQkJBZs2YRQtLS0vLz81+9enXnzh0Wi7Vr166bN2/2799fKpWGhYW9fv2amhN93rx54eHh33///YdGqKxlNVc/efJkZGTk1atXV65cSaPR4uPjBQLBq1evCCHGxsZXrlyJjIzcu3ev/CpZWVm7d+8mhEydOlX1uKrg4ODZs2fv3bu3W7du1Cjlr7/+2s7Ojs1md+nSheq88/bt27y8vClTpujr69va2lIdXgghz58/DwsLW7x4MfWVm5KcnFxRUTF69GgOh2NmZjZhwoT79+9T5WKxeOTIkWw228HBQZaPb9GiRXBwsLJJmhITEy9fvkx9tVMHnU4PCAiwtrZes2bNkSNHqH/XlcU/bNgwAwMDGxsbV1fX9PT0pKQksVg8YsQIFov11Vdf0Wi0zMzM5OTkysrKESNG6OrqtmnTRs1+cx/UlGaPACU4OHjGjBkbN26cPHlyrZPBUcfB1tbWxcVFNgORwkJlq9Tt5NaBh4cHlbF6/vy5m5ubq6srj8eTSqU8Hs/Z2ZnaUM0LWB1q7pH6LcgKzczM9PT0xo8fr+YHSo0ftJqMjIzKysqU3aqUaruj8JJuoEt3+vTp06dPpz5wqHM2NXi71VllZeXr16/Dw8O/+uorNcMmhNDpdJFIJD8TanPYFwAAaLbi4+Ozs7OXLFliZGTk6OgomyNiypQpJiYmbdq06dSpU81ftT9NNFImZaVILVOIdQqxziKmRVJuFjGl/kyRWpZJWUS9n3hOPsw8F8U/EpnxIq3YxYpLCOnnYuJkwfnhVEJSlnD9lTccHa3+Li2oyiceZIa8EPx8JVlcJX2QVHD8fsahu+lvc8qoFWv1w6mEB0kFz98Xn33Mp1bRYdAJIRYGOolZwiWnE2Q1WxrqHJvtfvxBxvbwlA88NBrGZDKtra27detmamoaExPTokWLrl27Wltb5+TklJSUVOuElZmZGRMT0717d0NDQzc3N+rLuDoWLFjg6OjI5XL79++fmppKCOHxeCKRaNasWXp6etbW1n5+fqGhoXVrSktLSygU1nx204MHD86ePbt582bVvT0aAoMQIqzS0mdUqq5XVMXo1c7o1KOsHy+92fW1I0MLv1s2DzSJmglyZVxcXE6fPn316tXjx49nZWVFRERYWFhQ4+xYLNbixYu1tLSMjIwmTZok630zbNgwLpfbs2fPffv2EUIKCwt5PB4hRCQS+fr6ylrOysqiOlOw2eyJEyfS6fTx48fv3r1bLP6AHKiyltVc/dSpU+fPn5evn52d3aFDBzqdnpeXN27cuJ49e86aNcvS0lJWYe/evUKh0MHBQcWgJwo1e0tOTs6RI0eEQuGYMWOioqIePnyYmZkpEAioyWiys7OtrKxqTtF34cKFoUOHUjMQyeTm5pqbm8s6BchGJgoEAgsLC1k5l8ut9QEWN2/ejIqK8vf3b9Giheqa8rS1tceNGzdw4MBTp04FBQWtXLlSWfzGxsbUCw6HU1FRkZuby+fzp0+fLqtQUFBQIRQO0AAAIABJREFUXFwsPwW1OmETQjTVVN2OACHE39/f1tZ23759sbGxtc4oRHWspUKSDchVWKhslTqc3Lpxd3fftWuXVCqNi4v75ptvuFyunp5eSkoKj8eTJWprXsDqqP8eKTxishOnr69fVlamsKN148vKymrXrp2yW5VSbXcUXtJWVlbKNlGfS1f+rKlzNjV459ZNcHCwlpaWhYXFhAkTqOtQzYuwVatW48aN2759e8uWLSdPnmxhYdHk+wIAAM1Zenq6vb29bGJsGQsLC+qFvr6+SCRq9LiaBK2CppNFzP77FkkjeqQkjxjypab/W65uQ29zhNSLnOIKXW06IcTelE0IifvVW1bH2liHepGWJyKEVEmkRWWVKbn/9YDLKxXralc/KQoippGZPazHfGHuaMGxMWZVVEoIIX89zdoalvLbRMeVI1r/cOrVsfsZVOXp3a1MuNrrr7xRdzcaGIfDMTQ0rKioMDAw4HA4BQUFoaGhhoaGgwYNku/KcP36dTc3N+rrYe/evU+dOvXdd9+p01v81q1bYWFh79694/P51GQvfD7f1tZWtq6VlZWaTw+v2ZSTk9P333+/bNkyGxsbf39/Gxsbqubu3bunTJnyoR9WNYJBCMks11adwKqS0lLLdH4Z3fr6c0GyQFRcXmXExu+WTY9Op0mrqn89rgMmkzl69OhBgwbNmjXr3bt3jx8/pn6UoNPpCu8ZbW1tQojst2upVEpVMzIykh9HQwj566+/qJpUBqSqqqqqqup/wf+XE6msrCSEKMtqKWtZHXfu3Nm5c6eRkdG0adMsLCw2b94sFoulUqmHh8fWrVuPHj0aHR0dHh7+9OnTM2fOyP49MzU1LSgoSEtLS09Pl92iylDTRXl7e0dGRiYmJp49e3by5MlWVlYJCQlPnjwhhOjp6WVnZ9dcccaMGfv27bOzs6OGblGMjIyys7NlxzMnJ8fExIQQwuFw8vP/r/urig6llL/++qukpCQwMFDhsy1qpaenN2vWrMWLF6ekpCiLvxoDAwN7e/uVK1fKF7548UJh2NQgcLFYTHU3la/zoU0pU88jwOVyZ82a9dNPP3Xu3Ll169aqA66nDz25ddaqVSuxWHz//n1TU1PqpxJ3d/cXL17Ex8ePGzeOEKLwAq4DTe1RSUkJ1bk6IyPDxMRENn1AA50IdSQmJqanp7u7u2dmZiq8VRVSeEkrU89LVz5Udc6mRm63+qiWdFMYtrLz3qNHD29v76tXr/7555/r1q1r8n0BAIDmzMjIKD09vamj+NTU/Hkxs6CcEOK24t47wX8pqnKxRIdZ/VPNh/4uOfHLlju/az9h57P7SQVz+9j6D25FCJFIpYtPJvxyJXnHFOdDM11vvBCIxFWEkK1hKZO7Wp70dfde/7isoqoO+6VZdDrd3d3d2NjY2to6Ozs7LCzs6dOnWlpa2dnZPj4+1DdriURy/fr1rKwsb+//y/1FR0d37NhRdePPnz+n5gKyt7ePjo7+999/CSGmpqZpaWmyT6rp6enqPNhaYVOEkOHDhw8ZMuTo0aMrVqw4cuQIVbh8+fKff/7ZycnJw8OjTkel7uiEkAIx461QVyRR8HFZLKHlipnPizkVErqVkc71RR2uL/CQDWSFpkKnER0dLUN9Jqlf/6unT59u3bqVGg5TUFBAJXG0tbWpmW6FQuGuXbuKiorevXt34sQJFe3Y29sTQvLz8w8ePFhaWpqRkfHbb7+JRCKql0FRUdGVK1fKysoOHz4sm/xF1vnozp07ZWVl165d+6CW1dk7qveWq6vr119/zWKx5HNkXl5eW7du3bFjByEkLy9PfpyXj4+PlZVVeXn5L7/8IotWGalUKhAI7t6926ZNG4FAoKenR01bI5tpxdHRUSKRXLhwobS09O3bt7JxRra2ttOnT9+xY4f8P6XUYb948WJpaWlOTs7Zs2d79epFlVOPBSwvL+fxeLInngoEgqVLl1bL/QkEgocPH06ZMuVDvwC/ffv26tWrBQUFlZWVL1++rKiooLpYK4y/mjZt2hQUFNy6dUu+w5GjoyMVtkgkevnypSxsJpNpbm4eGhpaXl5+69ataj8IfFBTmj0C8rhc7qhRo44dOyaVSlUHXE8fdHLrg0ajubm5Xbt2TdbfytXV9f79+1wul0q+KLyA5bHZ7Pfv39faE0rZHn2oixcvFhYWCgSC06dPU/+WKzsRssA0ftAoVMu3bt3auXPn5MmT9fX1ld2qCim8pBvu0pU1pfpsqojtg243zVIYtoobkEaj2draUiE1t30BAIBmxd3dvaqqas+ePUVFRXFxcSEhIU0dUXMhlUqlhKapru7/xOXmFFcET3Rybsl1s9bbMbm9uEoDLbdqwaqSSEvLq5wtud9+1ZIqnNXTeqq3pb4uI7OgQiIlVLcsQkhpedWEnbHOLTn7p7vUf9MaQT0eytTUlMPhMJlMqVRaUVHRqlUr2Ue+qKio4uLikJCQyP/p3bu3ig4c1NRXEokkMzPT0NCQ6hIRHh5OLXV1dSWE7Nu3r7i4OCMj488//xw1alStQSpsikKj0RwdHat9xPrpp59++umnxh94yxjaWhaH4rRUS0KcyH8f8jq20muUqKCRVFZWnj9//vz587ISGo02YcIELy+vjh07Pn369NSpU6dOnSKE9O3bV0U7Hh4eHh4esbGxBw8ePHjwIFXo5+f3xRdfWFtbp6Wlbdq0adOmTfKT1bHZ7LZt2yYmJh4+fPjw4cPKssLKWlZn76j02d27dwcOHGhmZqalpUX1/9q3b58seUwIMTY2lu9ppaOjExgYuGDBAh6Pd+rUKdnD+GoKDg4mhOjr63fu3HnEiBFVVVWPHj1atmyZpaXll19+mZCQQAhhMBiLFi06ceLE0qVLDQ0Np06dKlu9Q4cOw4YN27Jly/Lly6kSLS2txYsXHz9+PCAggMPh9OjRo3///oQQXV1dPz+/Y8eOnT9/3t3d3dvbWzbxpCyzLpORkSEQCGbMmCEr8fPzq3UycvK/VP2KFSuqqqpsbGz8/PyocYLK4pfHZDIXLlx47NixM2fOMJnMjh07Tps2TUdHRz7sXr16CQQCqv7UqVMPHTp07dq1Xr16yZ4LVremNHgEqunVq9ft27dv3brVp08fFQHX0wed3Hry8PCIjIx0c3Oj/nRyciooKJBlXry8vGpewPK8vb23bdu2cOFC1U9jULFHH8TNzW3t2rUSyf9j787joqr3x49/ZmBYhmEVMEAS10LUXBKXKDUoF5JyyVwqt9QoS3MtTLtmVzSX1EpBU7uKmWVdc8m10uu+oiJiqeQSiw4Isg4MzPz+OL/vXK4sIQyz4Ov5h48zn/mcz3nPzBvwvOdzPkfXuXNnw0IVFX4QhsBmzJhh9Ddt0aJFMpnMycmpefPmb7/9dosWLUTlP6oVqjClRV2mrqjGp1lFbA/042ZclYVd/nNPTEyMjY3VaDS+vr7SZYOW9loAAOYyadIkacPV1dXwHblCoVi0aNGSJUsGDRrUoEGDGTNmmC9Ay5Kld9UI++qve1W1nMKS8CVnlw1//MAHnbLytd+drO7CL1Vbdygl/AmvbZM6HL+W/fMF9ZhnGgkhUrKKVrzeqqGrXfKdwiErzucUlkj3RhRCJPyV++7Gy6tHBcXfyFm067pRYqiNsmtr9O3bNy0trXXr1t26dTNc0rRjx46IiIiy60mNGDFi3LhxOTk5FQ4YHh4+ffr0fv36bdiwYf/+/a+88kqTJk1CQ0Pj4+OFELa2toZsd3FxeeGFFwYPHvy3QXbv3r38UKdOnfrHP/5RUFAQEBAQFRVVtv9TTz31+uuvT5kyJSYmxtvbu0ZvTE3IHpprfesn6bvosks4PZC0tLQvv/zy4sWL9+7dUyqVTZs2feWVV6TJDhqNZtWqVb/++uu9e/e8vb1HjRr17LPPPvvss0KIxYsXd+7c+a+//pLWGF6/fn3Tpk2zs7NXrFhx9OjR/Pz8hg0bhoWFjR49Wi6X//XXX4sWLUpMTGzYsOGMGTOkpayio6Offvrpq1evRkdHX79+/Yknnhg8ePDUqVOFENu2bVOpVGUPVNnI5V/OmDFjfv/99wEDBkyePFkIodVqo6OjDx8+7OXlNXPmzLffflur1cbGxt66dWv16tV3795VKpVt27YdP358QEBAcXFx2YMuWLBg+/btCoVizZo1TZs2rdnbW0ekaw+ff/55cwcC46t/H27NXlFkZOT8+fMrvD8LAAB4OMXHx7dv397cUZhThe/AP7ZenbP1Wi1G1Qu9tO4V3+sIIcRHLzX7x0v3f11t3NzLzc21s7Ozt7c31oBWpzbvJwUs61bLAhasi0ajOXv27MaNG+fNm8e5fT1T/z7c2rwiClgAAOA+NTjp1ev1o0aNWrZsWf34T0XdFLDwP0xQwDK6jIyM999//6uvvjJ3INVVm/eTtdgBK7BgwYLr16/LZDJ/f/9JkybVj7/BkNS/D7f+vSIAAGCNZDLZ119/be4ogLrl6elpRdWrWqKABVgBLtSvx+rfh1v7V7Ry5UqjRAIAAACg3qjtrY4AAAAAAACAOkUBCwAAAAAAABaNAhYAAAAAAAAsmhHWwFKr1ceOHSsqKhJCpKamtm3btmfPnrUfFgAAAAAAIYRSqSwoKFAqleYOxDwqe+2+bg6mD6Yeq/D9fMhzz7hq+U7WdgaWRqNZuHChWq2WHl6+fPm7777Lycmp5bAAAAAAAEhUKlVmZqa5ozCbwsJCFxeX8u3PBTWwt+WyKuOwt5U/F9SgfPtDnnvGVVkmV1NtZ2ClpqbqdLrRo0fLZDIhxKBBg1atWjVr1qyQkJCy3ezt7bt27erl5VXLwwEAAAAAHjZ+fn7nzp2zsbHx8vJSKBTmDsd0CgoKNBrNzZs327dvX/7ZJl6OsSODxn+dWFSiM31s9Ym9rXzVqKAmXo7ln3poc8+4qs7kapJpNJraBHHt2rXY2NhPP/3U0JKbm7t///6SkpKy3XJycn7//fePP/7YwaFupziGh4fHxcW5u7vX6VEsh1QJ9vX1NXcgAAAAAFC3MjIy0tPTtVqtuQMxHaVS6eLi4uPjU0WfP9WF+xIzU7NrdWr/MPN1c3guqEGF1SuDhzD3jKs6mfy3jLAG1n2cnZ379+9/X6Ner582bVpaWlqTJk3ue2r27NktW7Z89dVXpYcbN248cODA6tWrpYdHjhxZs2bN2rVrjR4nAAAAAMCKeHp6enp6mjsKi9PEy3Fcj0bmjqKeI/cswX8LWBcvXrx37959T7u6urZu3br2h5HJZHK5XKerYFpj165d9+zZYyhgnThx4s6dO5mZmQ0aNBBCnD17Njg4uPYBAAAAAAAAwEr9d723Rx99NCEh4XAZCQkJjz76aF1H0KVLl8uXL+fn5wshcnJy0tLSOnTocPr0aenZM2fOSAWsjIyMOXPm9O/ff/DgwTExMYaZe+Hh4Xv37h0wYMC2bdvKDrt8+fIpU6ZotdpNmza9/PLLERERK1euNOxy6tSpsWPH9uvXb/bs2YYl53fv3j1y5Mjw8PCpU6dmZ2dLjTk5OdHR0QMHDuzfv//BgweFEGq1+v3334+IiIiMjLxy5Updvz8AAAAAAAAPuf8WsFxcXIYNG+bq6io9dHV1HTZsWG3Wh68md3f3Jk2anDt3Tghx6tSpDh06PPnkk1IBS61WZ2RktGnTRqfTRUVF+fv7r1+//rPPPrt48WJcXJxhhDNnzqxfvz4iIsLQ8uOPPyYkJMyZM+fatWs7duyIjY3dtm1bZGSkocPWrVvnzJkTFxen1+sNha3k5OSZM2du3rxZJpNt2bJFapw1a5a9vf2aNWs+/fRTjUaj0+lmzpzZqlWrb7/9duDAgXPnzq1wWhkAAAAAAACM5X/uuGmoYZmseiXp2rXryZMnhRAnT54MDg7u1KnT6dOndTrdmTNn2rdvr1AokpKSNBrNqFGjnJ2d/fz8IiMj9+3bZ9g9IiJCpVIZHp44ceKHH36YP3++SqWSy+UFBQXl73k5fPhwX19fV1fXsWPHHj9+XGp86623WrRooVKpQkNDb926JYS4fPmyWq2eOHGim5tbixYtevXqlZSUVFxc/PrrryuVyrCwMJlMdvPmzTp/gwAAAAAAAB5i9y/iLtWwpA2TBREcHCxNZTp9+vTbb7/t4uLi7u5+5coVw/WD6enp/v7+MplM6u/r63v37l3D7g0bNiw72urVq4cNGyYtodWyZcuxY8fOmjWrUaNGkyZNatTo/69sZ1j63t3dPS8vT6/Xy2SygwcP/vLLLzdu3Lh9+3bHjh2FEKmpqQEBATY2NobB09PTb926FRoaamjJzMwMCAiog3cFAAAAAAAAQlR4F0JTlq4kjz32WFFR0b59+3x8fKSjBwcHnzp1Kj4+/o033hBCeHl5paSkSGUmIURqaqq3t7dh97IFJiHEjBkzoqOjW7Zs2aZNGyFE3759e/XqtXHjxjlz5hhubnjv3j13d3chxI0bNxo2bCiTyS5evBgTEzNx4sSAgIBz584dOnRICOHu7p6amlp2cA8Pj8DAwC+++KJO3xAAAAAAAAAYyP++S5VkMplOp9Pr9VV30+v1Op1OLq/4cDKZrHPnzps2bercubPU0qlTp71797q4uEizq1q1aiWEWLduXW5ublpaWmxsbL9+/So7VosWLaZPnz579uzr168bxm/RokVRUZGhz7p167KystLT02NiYnr37i2ESE9Pl64TFEL88ssvUrfWrVuXlpauWbMmJycnKSlp3759QUFBGRkZ27ZtKywsrNYbBAAAAAAAgNqpYAbWA/H19ZXL5WvXrq163lZOTo5cLjdcuFdely5ddu/eLV0wKIRo27ZtZmamoUpla2sbHR29fPny4cOHOzs79+nTZ+DAgVUcrmvXrsOHD3///ffHjRv3+eefFxYWNm7cePr06YYOwcHB48ePLy0tDQ0NHTJkiBAiJCTk119/fe211wICAnr06HH+/HkhhEKhMBzXw8NjypQpdnZ2c+fOXb58eUxMjL29fUhIyJQpU6r9bgEAAAAAAOCByTQaTS2HUKvVx44dKzu/qTx7e/uuXbt6eXnV8lhGER4eHhcXJ11CaO2k9el9fX3NHQgAAAAAAEBdqe0MLCGEl5dXRERE7ccBAAAAAAAAyqvtGlgAAAAAAABAnTLCJYQwIy4hBAAAAAAA9R4zsAAAAAAAAGDRKGABAAAAAADAohlhEXfAvDIyMtLT07VarbkDqVtKpVKlUvn5+Zk7EAAAAABADdXjE9i6PmllDSzrVtdrYJn9R+tvfwASExOVSmWjRo0UCoUpAzO9goKCzMzMzMzMdu3aVdbH8j8vAAAAAHho1e8T2OqctNYGBSzrVqcFLEv40ar6ByAjIyMvLy8gIMDkcZlNSkqKvb29p6dn+acs//MCAAAAgIfWQ3ICW8VJay2xBhYqlpGR4eTk1KRJE/MWhpVKpb+/v5eXV0ZGRvln09PTH7bJPt7e3unp6eXbreLzAgAAAICH1kNyAlvZSWvtUcBCxSzqR6uyHwCtVlsvJ15WQaFQVHiFoFV8XgAAAADw0HpITmArO2mtPQpYqJhF/WjV3Q9AvcHnBQAAAACoxyhgAQAAAAAAwKJRwAIAAAAAAIBFo4AFAAAAAAAAi0YBCwAAAAAAABaNAhYAAAAAAAAsGgUs1LmSkhKNRqPT6cwdCCql0+k0Gk1JSYm5AwEAAAAAVKW0tHT8+PF//PGHuQMxNVtTHkytVh87dqyoqEgIkZqa2rZt2549e5oyAJhecXFxUlJScXHx448/7uzsbO5wqpKfnz916tTmzZtPmTLF3LGYWn5+/uXLl+3s7AIDA+3s7OruQDt37vzhhx9u3rzp6ek5ePDgAQMGCCGysrIWLVp04sQJBweHAQMGjB49urKeQojz58/HxMT88ccfDg4OUVFRTz311H2HqHC0mzdvLl269OLFi87OzhEREa+//rpMJqu7lwkAAAAAdcTGxmbWrFlLly7t06dPdHT08uXLW7VqZe6gTMF0M7A0Gs3ChQvVarX08PLly999911OTo7JAoDpFRUVJSQkHD16NC8vz8bGxtzhiJEjR54+fdrwsLi4OCQkpLi4WHoYExMzY8YMJyenEydOmClAs7GxscnLyzt69GhCQoJUYq4LxcXF0dHRf/zxh0aj+euvv5YsWXLy5EkhxIcffnjw4EGNRpOdnb127dqff/65sp4XL16cNGmSFOS9e/cMv0/KKj+aEGL69OknT54sKCi4ffv26tWrt2/fXkevEQAAAABqZuLEiSH/a8mSJRX2bNSoUVRU1M6dOzds2PD1118bzmrrN9PNwEpNTdXpdKNHj5YmPgwaNGjVqlWzZs0KCQkp283e3r5r165eXl4mCwx1pKio6OLFi6dPn27evHmnTp2USqW5I/ob0sSrN99809yBmIFSqezUqVNJSYlU4GvdurW9vb3RjyKTyXr16jVixAhvb+958+b9+uuvZ86ccXFxOX/+vKur6+rVq3fu3Pmvf/1rx44dzz33XPmewcHBy5cv12q13bt3nzRpko2NTfla2+XLl8uP9uSTT/7111+NGjWKiYn5z3/+8+mnn549ezYiIsLoLxAAAAAAamzZsmVCiLS0tNdee23//v1Vd/bw8JDKW59++qkpgrMAppuBpdfr5XK54bIdmUw2bNiwHj163NdNrVYvXLhQo9EY9+g6nW7MmDF37twx7rCoTFFRUWJi4unTp5s2bdqlSxeVSmXuiP6GWq3+8MMPw8PDX3rppS+++EKr1UrtYWFh+/bte/nll/v27bt3797jx48PGjSob9++GzduLD9IWFjYf/7zn2HDhvXu3fvzzz+XGnfu3Dls2LCwsLCJEydmZWUJId57772tW7dKz+bn5z///POWMBVRpVJ16dKladOmp0+fTkxMrIt5WAqFYtasWY8++qiDg4OHh4cQwsXFJSEhQQgREhLi6+sbHh4uhLhy5UqFPdPT0y9duqRUKqOiory8vDw8PHx8fO47RIWjeXh4eHl5Sb98pH+feOIJo786AAAAADC6e/fuhYWFGR5OnDjx0KFDoqIzTVHJOWm9Yc5F3J2dnfv37//y/xo9erROp0tLS6twl3HjxoWGhoaFhQ0dOnTdunXVXxdcLpevWbPG29u7+uFt3rx5x44d1e+PsjQazR9//FFYWBgUFGThS18JIXQ63bRp0x599NFvv/32iy++SEhI+Prrrw3PnjhxYt26dZMnT168ePHmzZtXrVq1YMGCr7766u7du+WH2r179xdffLF8+fIdO3ZIxZRr16794x//2Lp1q0wm27x5sxCid+/eBw8elPofOnQoODjYxcXFFK/z7zg7OwcFBRUWFkrX7tXdgS5durRjxw6FQhEaGpqRkSGEaNiwoRDC09NTCFFYWGgoIJbtmZycLIRo1arVsmXLwsLC3nrrrZSUlPtGrnA0vV6/YMGCzMzMF154YcGCBREREf3796+7VwcAAAAAda38maak/DlpvWFxdyGUyWRyubyKytTChQv37Nnz8ccf//bbbz/99FPdRXLr1q26Wwyo3nNwcGjZsqWjo2NiYmJubq65w/mvSZMmGS4nfvbZZ6XGxMREjUYzduxYZ2fnRo0aTZgwYc+ePYZdXnnlFZVKFRYWZmdn9/LLL3t4eLRp0yYgIODmzZvlx3/99dc9PDxatmwZHBx89epVIcS7777bsmVLlUr13HPPSbt07949KSlJelt+/fXXPn36mOKVV0Nubm5iYqKjo2PLli0dHBzq6Cj79+9/9913S0tLP/roo0ceeaS0tFT838SosjM0y/eUamqXLl36+eefNRrNhQsXys+VrXC0kpKSZcuW6XS6F198MTAw8Oeffz58+HAdvToAAAAAMIHyZ5qS8uek9YZJ70JoLDY2Ni1atHjppZdOnz7dv3//8PDwiRMnxsTEjBw5MiIiIiMj48svvzx37pxCoXj22WfHjBmjUCiEEOHh4XFxce7u7mq1evHixZcuXfLz85s8eXKLFi2EEDk5OV9++eXp06d1Ot2kSZO2b98eHx8vhFixYsVPP/1k+VfAWRp7e/ugoCC9Xi+tqdS1a1cLeQ+XLl365JNPStvFxcVSDSs9Pf3RRx811Dv8/PwyMzMNuzRo0EDaUCqVhtXZnJycKqxvGmb5ubi4SAWX3377be/evdevX09PT+/UqZMQwsHBoVu3bkeOHAkJCbl69WqXLl3q4pU+qLy8vOPHjycnJz/55JNBQUF1sQaWEOLHH39csmSJt7f33Llzg4KChBCurq7i/2ZOSYuyu7q62tralu8pXUvYsGHDzz//PDs7e8SIERcuXMjIyHjppZekwaOioioc7fDhw+fPnx87duyIESOKiop69+4dGxt73+p7AAAAAGBFyp9pSsqfk9YbVlnAkhQXFxvWBT9z5sz69etVKpVOp4uKiurSpcvkyZNzcnKio6Pj4uJGjRpl2Eun082cOTMkJGT27NlHjx6dO3fu119/LZfLZ82a1bhx4zVr1qjV6uTk5EWLFi1atKhJkyYDBw400+uzevb29q1btxZCnDx50tbWtnPnzha7jruXl9dff/2l1+ulGlZKSop0DVrtXbhw4YsvvpgyZUqTJk3Onj1ruHKwV69eW7du1el0PXv2tIT7MxYUFJw6derq1avBwcF1tIK7EOL27duff/65h4fHV199JVWjhBBSBfnw4cOvv/76tm3bhBBBQUEV9mzcuLGNjY1Wq9XpdEVFRXq93snJydPTs+x0quPHj5cfTZrsdvny5YKCgsTERK1WawmLjgEAAADA33J0dCwuLi4uLrazsxNCSJMtKjvTrN+ssoCl1WovX778448/SreNE0JERERIE3ySkpI0Gs2oUaNkMpmzs3NkZOQ///nPsgWspKSk4uLi119/XQgRFha2YcOGmzdvajQatVq9ZMkSGxsbNzc36YznrapbAAAgAElEQVQatWdvb9+mTRtbW9vi4mLp2i7LJBXaVq9ePXTo0Nzc3BUrVhgm9dRSWlqam5tby5YttVrtvn37pN84QohOnTotWrSosLBwwoQJRjlQLZWWlqpUqm7dugUGBhqCNLrTp09rtdq7d+8a7gA4YMCAd955x8fHJy0tzVAsHjx4cIU9J0+eHBYWtmfPHkOjtEx7WR07diw/2iOPPGJvb3/o0KHnn39eauzevXsdvUYAAAAAMCI7O7tGjRpt2rRp8ODBu3fvTk9PF5WfadZv1lfAmjZtmq2tbaNGjcaNG9e5c2ep0TBfJj093d/f33AtmK+v730rbaenp9+6dSs0NNTQkpmZee/evYCAAEuYCFP/2NnZBQUFlZSUWPJPlK2t7aJFi5YsWTJo0CAXF5cXXnhh8ODBRhm5e/fu+/fvf+WVV5o0aRIaGipdlyqEkMvlzzzzzJkzZ5o3b26UA9WSk5OTVGq0ta3D3wmGW2OUpVAoFi5cuGDBgsuXLzdo0GDUqFFPPvlkXFxchSO89957Op3u0KFDzs7OvXr1GjNmTHVGE0IsXrw4Njb26tWrzs7OYWFhb7zxhtFfHQAAAADUhenTp8+fP3/Dhg0vvfSStL5KZWea9Zv1FbAWLlzYoUOH+xoNtScvL6+UlBTDtWCpqan33XnQw8MjMDDwiy++KNsYHx+fmppal1E/1Oq6LFJ9Ze8tKISws7MzXH3m6+u7aNGi8rvs37/fsF32zg73pVD5ztOmTZM2Fi5caGgcOnSoYbuwsNBylm+Xy+V1t2q7wauvvvrqq6+Wbw8ICFi5cmV1eqpUqo8++qjqo5QfTQjRrl278o0AAAAAYGl8fHzKnloKIdq1a/ftt9/e163CM80Kz0nrDdPdhVAmk+l0Or1eX3U3vV6v0+nk8hoG1qpVKyHEunXrcnNz09LSYmNj+/XrV7ZDUFBQRkbGtm3bCgsLDY2tW7cuLS1ds2ZNTk5OUlLSvn37hBAqlSo5ObmK+yECNRYfH3/48OG+ffuaOxAAAAAAAKyA6ebF+Pr6yuXytWvXuri4VNEtJydHLpf7+PjU7Ci2trbR0dHLly8fPny4s7Nznz59yq7CbmNjY2dnN3fu3OXLl8fExNjb24eEhEyZMkWhUBj28vDwkJbW6t2798yZMwcOHLhx40aLXX0c1mj27NkXL16cOXOms7OzuWMBAAAAAMAKyEx5V0W1Wn3s2LGioqIq+tjb23ft2tXLy8u4h9ZoNC+++OLu3bsNy2PVD9INCHx9fY0+cnx8fPv27Y0+bI1VGI+lBWkaVvFWWFo8AAAAAGBeD89ZUh29UpOuTOTl5WW4fZgp6XS6rVu3dujQoZ5VrwAAAAAAAB4GplsDy1ySkpJefPHFI0eOvPvuu+aOBQAAAAAAAA/MIu4NV6cCAwO3b99u7iisj1KpLCgosJDFvywnEovF5wUAAAAAqMfq/wws1IxKpZIW2LIEhYWFFa79L1VtTB+PGVVWG7KKzwsAAAAAHloPyQls3U1ooICFivn5+WVmZqampmq1WjOGUVBQcPfu3Zs3b1Z4Y0qLqtqYRmW1Iav4vAAAAADgofWQnMDW3YQGk96FEEZXd3chlGRkZKSnp5uxJqJUKl1cXKqohpw7d87b29vLy0uhUJgyMNMrKCjQaDQ3btyo4m4Olv95AQAAAMBDq36fwFbnpLU2KGBZt7ouYFkFs1dtTIPaEAAAAABYu3p8AlvXJ60UsKwbBSwAAAAAAFDvsQYWAAAAAAAALBoFLAAAAAAAAFg0ClgAAAAAAACwaBSwAAAAAAAAYNEoYAEAAAAAAMCi2Zo7AFi0O3fulJSUmDsKAADqM7lcrtPpuKcwAABAFShgoVJpaWkKhcLDw0Mmk5k7FgAA6q2SkpLCwsLU1FRqWAAAAJXhEkJU7M6dOwqFwtnZmeoVAAB1ytbW1tnZ2dHR8fbt2+aOBQAAwEJRwELFSkpKVCqVuaMAAOBh4eDgoNPpzB0FAACAhTLnJYQ6nS4nJ0ej0bi5uTk4OJgxElSIuVcAAJiMXC7X6/XmjgIAAMBCmaeApdVqd+3adejQoby8PKlK0qxZs4EDBwYEBJglHgAAgFrKzs5Wq9VarfZvezo6OiqVyoYNG5ogKgAAgPrBDAWs27dvr1q1ytXVdcyYMf7+/g4ODnfu3ElMTFy+fHlYWFjfvn1NHxIAAEBtXL16ValUPvbYYwqF4m87FxQUZGZmJiUlBQYGmiA2AACAesDUBaySkpKvvvqqY8eOffr0MVyh5uPj4+Pj06FDhwULFvj4+LRv397EUVUhPDw8Li7O3d3d3IEAAAALlZ2d7eTkVP2J5EqlUqlUyuXy7OxsNze3ugwNAACgnjB1AWvPnj2Ojo5lq1cGHh4eo0aNWrVq1eOPP+7o6FjZCFevXl2/fn1CQkJpaWm7du0mTZrk4eFRx1EDAABUSq1WP/bYYw+6l7e39++//04BCwAAoDpMfRfCo0eP9uzZs7LVwR9//HEnJ6eEhITKdj99+vTUqVNbtWq1cuXKuLi4bt26VdEZAADABLRabXWuHLyPQqGozoJZAAAAECYuYBUVFd29e/fRRx+tok/Tpk3T0tIqfEqr1X766acTJkwYMmTII4884uLi0rt37+7duwshMjIy5syZ079//8GDB8fExEj/HYyKitqzZ4+075tvvrl161Zpe9CgQWq1usJdhBDh4eF79+4dMGDAtm3byh59+fLlU6ZM4T+aAAAAAAAAJmbqGVhCCAcHhyqezcnJsbOzq/CphIQEvV4fFhZ2X7tOp4uKivL391+/fv1nn3128eLFuLg4IUSnTp3i4+OFEFlZWZmZmefOnRNC3Lx509XVtUGDBhXuIjlz5sz69esjIiIMLT/++GNCQsKcOXNq8P0qAAAAAAAAasOkBSx7e3t7e/usrKzKOpSUlNy8ebNZs2YVPnvnzh0/P7/y7UlJSRqNZtSoUc7Ozn5+fpGRkfv27RNCBAcHS0WrU6dO9evX7/Lly3q9/sKFC506dapsF0lERIRKpTI8PHHixA8//DB//vyyjQ+nc+fOLV68+IMPPvj444+r+BwBAAAAAACMyNQzsNq2bXv8+PHKnt26dWvDhg2bN29e4bNKpTIjI6N8e3p6ur+/v2FdLV9f37t37woh/Pz8FApFSkrKyZMnn3rqqcaNGycnJ58/f75Tp06V7SJp2LBh2fFXr149YMCABg0aPOBrrW/i4+M3b97ctm3bN998c/jw4Uql0twRAQAAAACAh4Kp70JoY2OTnJxcvl2n0/3yyy+HDx+eOXOmXF5xWe2JJ57IyMiIj49v37592XYvL6+UlBS9Xi8VpFJTU729vaWnnnzyybNnz964caNZs2YdO3Y8d+7c5cuXp02bdvny5cp2kYIsO/6MGTOio6NbtmzZpk2b2r16K6bT6Xbu3NmjR4/nnnvO3LFYkHfffTcxMbFsi0Kh2LVr14YNG3bt2pWVleXv7z9+/Pgnn3zSXBHCilSYTrt3716xYsWvv/5aWFjYvHnzSZMmNWnSxFwRwopUlk7Sdmlp6ahRo0pKSr755htzRAcrExkZed89cxQKxW+//bZ06dItW7ZILQ4ODvv37zdHdLAylaWTEGL//v3/+te/bt265ezsvHr16kceecRMMcJqVJhOL7300vfff1+2ccSIEWPHjjVtaLA+V65cWbdu3fnz5wsKCry8vN55552nn3560KBBd+7ciY2NDQwMlLrNnz//woUL/A/KXExawNJqtYmJic8888yGDRuk2xEGBATY2dllZWUdPXr03r17b775ppeXV2W7u7q6jhgx4uOPP46MjAwODtbr9YcOHXJxcQkJCRFCrFu37uWXX87Ly4uNje3Xr5+0S3Bw8Nq1ax9//HEhRMeOHRcuXNioUSM7O7tWrVpVtkt5LVq0mD59+uzZsz/77LOAgADjvifWIiUlJScnp7S09JNPPikpKWnTps2LL75oa2vqAqileeutt3Jzc9Vq9eLFi4cOHfrEE0/I5XKtVnv48OExY8Y0aNBg7dq1c+bM2bJli729vbmDhaWrMJ2EEEqlcvbs2RqNZunSpfPnz4+NjTV3pLAClaWT5Oeff05JSblvujFQmXfeeSc3N/fOnTsLFix49dVX27dvL6VTdnZ2u3btxowZI4So7NtH4D6VpdO+ffvmzZv32muvderUSavVuri4mDtSWIEK08nHx+eZZ56ROvz666/bt2/v06ePeeOE5Tt27FhUVJSHh8fgwYMbNmyYnJxc9tqv6OjotWvXcvJrCUz6GRw4cCA3N3f37t0dOnQICQkpKir67bffSktLXVxcunbt2q1bt6rXdxdCDB061MvLa8uWLZ999pmzs3O3bt3eeOMNW1vb6Ojo5cuXDx8+3NnZuU+fPgMHDpT6t2/f/tatWyNGjBBCNG3aVK1WP//880KIKnapUNeuXYcPH/7+++9//vnnVZTY6jFpxaurV68OHTo0LS1t27Ztnp6e0i0gH2ZSbfTmzZtCiKZNm3bq1EkIodfrV6xYIf2CGzBgwCeffJKent64cWPzhgrLV2E6CSFGjhwpbTz11FNlV+sDqlBZOgkhMjMz16xZExQUVOFV+UB50td+N27cEEI0b968c+fOUntOTk5AQMB98+KBqlWYTqWlpStWrBg2bNjo0aPNHB+sSmW/nRo1aiSEKCkpmTdvXr9+/aSHQGU0Gs0nn3zi7++/atWq8hWJkJCQU6dOrV+/nl9QlsCkBazGjRv369eve/fuTk5ONR4kLCys/I0IfXx8oqOjy3d2cHAwXDEhk8l++OGHv91l586dFT4cNGjQoEGDahy2tZNuv9irV69mzZo1a9YsPj4+OTmZAlaFZDKZoTx/4cIFJycnpjmglkpLS//888/jx4+HhoaaOxZYN71ev3DhwqeeesrZ2fk///mPucOBdcvOzj59+vSuXbuaNWs2YcKEtm3bmjsiWKsrV66o1WqtVtu/f3+NRtOzZ8/33nuPe3+jlnbv3n379u1hw4aZOxBYulOnTt27d2/atGkVzqfx8vJ68803v/jii549e7KUh9mZdL53y5Yt+/btW5vqFcxFWsO+oKBAelhaWvq30+WwcePG7du3R0ZG8l6hNo4fP/7888+PHz/e09NTmk8K1Ni3335769atyMhIcweC+mDq1KkrV6784IMP8vLyZsyYce/ePXNHBGuVlpYmhDhz5sysWbNGjx69bds2w/JqQI19//33PXr08PHxMXcgsHTp6elCiMoWC9Lr9QMGDGjVqlV0dLROpzNpZCiHBQtQLd7e3s2bN9+zZ8+lS5d+++231NTUdu3amTsoy6XVaufOnRsXFzdjxgyuukcttWnTZuXKlXPmzCkuLo6MjDTUkYEHJU2AnzVrlkqlMncsqA9atWoVFBQUFhY2ffr03NzcS5cumTsiWCtpqdBx48Z16NDh5ZdfDgwMjI+PN3dQsG4XL168du1aeHi4uQOBFXB2dhZC3L59u7IOMpnsgw8+uHbt2nfffSfdBQ7mQgEL1TV8+HA/P7/NmzefOHFi4MCBhhsxoLy5c+eeP39+2bJl3LQRtefk5NSyZcuQkJCRI0emp6f/+eef5o4I1urnn38uLi5+++23Q0NDv//++9u3b4eGhl68eNHcccHqlZaWCiGYbowa8/PzE0Lk5uZKD7VaLVdsoJb279/v5ubGrcBRHR06dLCxsdmwYYP056xCjRo1euONN7766qs7d+6YMjbch4X0UV1OTk6vvfaauaOwApcuXTpy5MjQoUPz8vLOnj0rhGjatKmbm5u544JVSklJOXPmTIsWLQoLC+Pi4lxcXB7ae6Gi9t54443BgwdL2//+97/Pnj07d+5cbjFhFI6OjgUFBUql8oH2KigocHR0rKOQ6ppOp1u+fHmPHj1ycnJiYmIaNWokraYM1EDjxo07duwoLZ9848aNq1evjhs3ztxBwbodO3ZMqkqYOxBYAW9v79dff33dunVjxozp3bu3q6vrlStX/P39+/fvX7bbK6+88ttvv504ceLRRx81V6iggAUYWUpKihBi06ZNmzZtklpmz57NgveoGRsbm927d8fGxioUisDAwEWLFvGlNGrMz89PmuYghDh48KCdnR1zaY3FyckpMzPzQQtYhYWFVn0556VLl7Zv3+7g4NC2bdsJEyZIV4EBNTNnzpyFCxd+8sknLi4u06dP79atm7kjghW7e/duSkrKfdUHoApjxozx8/P7/vvvV61apVAoGjdu/PTTT9/XRy6XR0VFjRo1yiwRQiLTaDTmjgE1l5mZKYTw9fU1+sipqanSwu0AAOBvJSUleXt7e3l5VefWaQUFBRqN5saNG/fNWsrMzKyLv+kAAAD1ADOwAAAAaiswMDA7O/v333/XarV/29nR0VGlUnHNHQAAQPVRwAIAADACNzc3VjwEAACoI9yFEAAAAAAAABaNGVh4ABqNpqCgQK/XmzsQAACsmK2tra2tLfdkAAAAqD4KWKiu7OxsGxsbd3d3mUxm7lgAALBiJSUlGo3m7t27Hh4e5o4FAADAOnAJIapFo9HY2to6OztTvQIAoJZsbW1VKpWDgwM3gwYAAKgmZmChWgoKCtzd3cu2FBUVFRQU6HQ6c4UE61L19TKkEx4I6QQjMns65efnl32Ymppad8dCXVMoFHZ2dq6urhU+m5+fn5uby28nVBPpBCOytbW1t7cnnWAUVadTnZLx1Z9Vy8zMFEL4+voafeTU1NQGDRqUPVDZh9nZ2dIfVLmcSXyoFq1Wm5+fX1hYWP56GdIJD4p0ghGRTjAiQzr5+Pjc99SdO3cUCgXphOqrOp3kcrlKpeLaCFSTdOl6cXEx6YTaqyKd6hp/QfHAioqK7Ozs3N3d+R8Yqk+hULi5uTk5ORUVFZVtJ51QA6QTjIh0ghEZ0um+iXX5+fkKhYJ0wgOpIp1sbGxY2QMPxHDpOumE2qssnUyAP6J4YAUFBWaZLoh6wMnJqbCwsGwL6YQaI51gRKQTjMjJySkvL69sS25uLumEmqkwnbiHKWrGwcGBdIKxlE8nE6CAhQem0+n4/hA1Y2NjU1paWraFdE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" alt="Schedule Task — Calendar"></div>
+<p class="rg"><b>Ô ngày</b>: nút + tạo task lúc 09:00 ngày đó</p>
+<div class="cap">Đề xuất — bố cục mới</div><p class="mut">Giữ nguyên bố cục bên trong; chỉ đổi thanh menu sang danh sách phẳng.</p>
+<details class="ctl"><summary>Kiểm kê control — <b>7</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>+</td><td class="mut">nút</td><td><code>lambda: self.add_requested.emit(self._date_str)</code></td><td class="mut">ui\calendar_view.py:43</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">danh sách</td><td><code>self._on_item_clicked</code></td><td class="mut">ui\calendar_view.py:49</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Trước</td><td class="mut">nút</td><td><code>lambda: self._shift(-1)</code></td><td class="mut">ui\calendar_view.py:100</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Hôm nay</td><td class="mut">nút</td><td><code>self._go_today</code></td><td class="mut">ui\calendar_view.py:103</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Sau</td><td class="mut">nút</td><td><code>lambda: self._shift(1)</code></td><td class="mut">ui\calendar_view.py:105</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._on_granularity_changed</code></td><td class="mut">ui\calendar_view.py:110</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">danh sách</td><td><code>lambda item: self.show_month(self.anchor.year, item.data(Qt.UserRole))</code></td><td class="mut">ui\calendar_view.py:213</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Bố cục hiện tại giữ nguyên; chưa phát hiện vấn đề sắp xếp nghiêm trọng.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Chỉ áp thanh menu phẳng mới; nội dung bên trong giữ nguyên.</li></ul></div>
+</div></div></section><section class="sec" id="workspace-project">
+<div class="hd"><b>4. Workspace ▸ Project</b><span class="tag">ui/workspace_tab.py:188</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Khai báo project — đơn vị gom nhóm của app. Mỗi project có sandbox riêng và Instructions chèn vào mọi chat. Đây là <b>bộ chọn project duy nhất</b>.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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AHAm6awsJDL5bq4uBQUFGg6RyKRFBUV0RuT19XV2dra0l90+Xw+/RXlwYMH6enpo0ePDg0N/f7770UiUWlpKbWTixLF3+lKpVSvSKuvr7958+Z7771Hr7Po06fPxIkT4+LiKisrnZ2dqbXuOjp16pT2h/FRXyY15bYUg2QwGL6+vlwuV/E7nrOzM9WrpqamVI7G1ta2rq6O/udW03G1MbTZUk0naOpMSkNDg5WVFZ03sbS0pEZTJBIpPSW6zQC0X0jLZGiT2o5SvJxqtJraRQjJz893cXHh8/nUXQ/Ozs4ODg4XLlxwdHTUVIT83xlLCLlw4cL06dPLy8uVlvyQdnad9jkglUqNjIwMDQ1bWlqIwrYRivHo0rEuLi7V1dXUTM7Pzy8rK3N3d//rr7+MjIyYTCZdVXsfjaepk2tqamxtbenT7OzsqDSZjp90vRrNNmN4+U/Kq2iCalcTdZNNbaiqLdI0x3QZUB0vqmWIlSLRpbd1rK1do6Y9jFeksbFR8S9MSl/PZDJZfX19fHx8eHi47rlvANDC3d3d0dExMzPT3t7e1taW/mTZ2NioXa+gIypDTf9rrkuqRcdKGhoa2nv3dNfjcDhM5v8uZauvr29sbFTcu4PNZqu9RauxsTE5OXnMmDGDBw8+deqU4lvU/zRecoB6wrhgCSEAvGnEYvHNmzdDQkK8vb3ZbLa5ufmwYcO8vLx4PN6nn35K3wLz4MEDX19f6vWjR4/Gjh3r6OhoZGTk5OT0zjvvUPu+U+htswghxcXFVIVt/pVDsZTqFRWlpqbKZDIvLy/qRx6PR93cQQgZOHBgxztCAYPB4PF4/5+9Ow+TqywQ/f+eqq7qPUl3FrKSBWQRFAkMBAEFExAII5s4CPzkiohzHXFjxnnmulzxjoozOFfGGdHrMgwqgiCOGEcUucAgXgQBQTZDQtYO2bvTe3ct5/dHhTaQdNJJOuk3yefz9PMQKlWn3nOqupP65j3vOf7449/1rndVThIZ7J4Dg5w1a1ZNTc2XvvSlz73iueeeGxj/6aef3tDQMGbMmDPPPHPLYzXY7dscw2B72tvbW1mkZjuHYrCDGUKorMNy+umn19TUNDU1zZs37/HHHw8hLF++PEmSuXPn1tbWTp48+ZhjjhnKod7+Ew3xzbC1wQ7UwNNtPdrB9iuEsGjRouOPP75yNYCXXnrpjW98Y2UWzHYesrXVq1fffffdF1988dZ/QdmpQ7fNXRt4TYvF4saNG0866aR8Pn/88cdv859/h3JgK7PcZ82alcvlZsyYcfDBB7/88suVCwDNmzevurp61qxZM2bMWLx48XZehW0+ddjWEVu5cmUIYc6cOZUlV/v6+ir7Hrb7nT7wMyeqV3OHO7v73yl7aBe2PtRbv9m2OdRtHv/B3mM7/NE9xCcd4s4O8WgP/dAN5efnUIax/fvvshUrVjQ2Np5wwgn5fH7WrFkDWW3SpEknn3xyfX19XV3dKaecsmzZMvUKQghbr86+zfts/f2SyWTGjRt32mmnffCDH7ztttva29srfyCed9559fX148aNu/jiiysXNhlMd3f31KlTt8w0WyoWi2vXrj3zzDNrampOO+20ba4CsUPb3MiiRYuy2ewFF1xQX18/c+bMk046KZvNXn/99U1NTSGEa6+9tvIX5r/4i2fIX3IAACAASURBVL94+9vfvgtPOixes3B+qVTq7e3dcrLVdhL8vffe+7a3va2/v/81/9A+xBcontdlF7Y8LMzAAvZDDz/8cEdHx4knnnjuuef29PQsXLjwvvvuqyy6NPDHybJly84999zKwuSPPfZYdXX1hRde2NDQ0NbW9sADD1RmBc+aNevCCy+srq5et25d5TJJxWLxtttuO+ecc84444xisfj8888vWLDgNc++9aO2fsYt75+m6U9/+tOrr7668r8vvPDCUUcd9aEPfWjdunXPPvvsjBkzdvNoXH755Wma9vT0rFy58oc//GHlg9BgBgZ57LHHPvHEE1suSfPQQw+9733vq62tDSEsWrTo/e9/fyaTeeaZZ7Y8DX6w27c5hsH29Pe///273/3ua6+99qabbhrsULzmYF5++eWV27u7u2+44YZbb7317LPP/shHPtLT0/Pkk09WrsZYKpVuvfXWc8455yMf+UhnZ+dPf/rTl19+eYeHerBXLQztzTCYwQ7Ulk/3mtGWy+Vt7lcIYenSpePGjav8RWft2rWjRo2qrIC2nYds08KFC3/9619fdtll3/nOd7bc3506dNvctYHX9J//+Z8XLFjw53/+5yeffPLjjz9eCUO7cGDXrl179913v/3tbx8zZkx7e/s999xTySU//vGPL7jggmuvvXb9+vV33nnn1pda277BjliaprfddttFF100d+7clpaWu+66KwzhO73yv2mabn0AR/DV3OHO7v53yrDvwq9+9auzzjpr60O99Zttmz9Vtt6jbb7Hhvije9GiRVdffXWSJNt/0iHu7BCP9tAP3VB+fg5lGNu58+7o7++/4447zjrrrLlz5y5evPiJJ56oVOyOjo5Zs2adeuqpxWJx8eLFr7lsPByY2traqqur58yZs53ZxPl8vrq6+jWnYH/84x9P07S7u3vx4sU33XRTZbZyqVS68cYbL7vssuuvv76zs/Ohhx7acgGmrT388MPXXHPNl7/85b/7u7/b5h2++93vXnHFFeecc86DDz64s/9ctJ2NFAqFG2+88dJLL73++us3bdp0yy23JEmSyWQqySaTyVTK0WAFZy+oXOHx9a9/fdjiY8WWkiSZNWvWc889t83f3bhx43PPPbf1JfyG+ALF87rs2pZ3XzLYMl3sEypBdGf/gj6goaFhFyYOwIir/EG+y+/8AaecckqSJA899NBwDCrSZ9wFOxzkYFdhH+z2PWSvHcxhf6LtH6h94k0ymL38HojWPv0i7rK9vNd78812YL6ge8GJJ544YcKEPdfLIDbTpk3bziz418hkMlOmTJk2bdqW67S+RqlUWrFiRUtLSwyLE+0T6uvrt/6n3J16XUIINTU1hxxySFNT0zanyFUK1+LFi7e8/AvbPPK7wAws4MD11FNPXXHFFQMLk++Xz7gL9olBhr04zr18QPaV479/2HKJtxDCggULnnjiid3fbFQv4h7ax61FtdfDaz/eNSBa5XJ55cqVq1at2uHd9ukfTblc7lOf+tTf//3fb7mGVOR6e3uff/757Zzgmabpvp4Uo31dzMDat5mBxYFpuGZgsWsimYG179qPD9R+vGvExpttP2AGFgeanZ3pw7AblhlY7ILhmoElYO3bBCwOTAIWAAD7FqFkxAlYI2W4AparEAIAAAAQNQELAAAAgKgJWAAAAABETcACAACAPatYLGYyPoCPmEwmUywWt77d67KnDXbkd2VTw7IVAAAAYDA9PT25XG6kR3HgymQyPT09W9/uddnTBjvyu7KpYdkKAAAAMJi2trZsNpvL5ZIkGemxHFgymUwul6uurm5ra9v6d70ue872j/wuqBqWrQAAAADbsXLlysbGxlGjRjlnbW8qFos9PT1r1qwZ7A5elz1kh0d+ZwlYAAAAsDd0dHR0dHSM9Ch4La/LPkFfBAAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKLmKoQAAAAAodhwUO/E2cWappEeyP6gqre1ZvUTVZ1rhm2Dw7UhAAAAgH1U58y5G0+4Js3kRnog+4+kXGh+9KsNS+4blq05hRAAAAA4oBUbDlKvhl2ayW084Zpiw0HDsjUBCwAAADig9U6crV7tCWkm1ztx9rBsSsACAAAADmjWvdpzhuvYClgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIha1UgPAAAAAGAfk03STEiTkKYhGbgxE9JSyBTTZDsPZNcIWAAAAAA7oSFbPK5hw8yarqZs/7pCdemV89tmVnf+vmvMf7VP6CzlRnaE+x+nEAIAAAAMVTZJj2vYcOqo9aU0ac7196bZ1mK+8rWpnD9l1LrjG1rrMqWRHub+xgwsAAAAgKHKhHRirueJrqaF3Y3jq3p/1zl2TX9N5bf+b9tBxzS0ntK4rhySxzqae8rZkR3qNmUzyZfOOujOZzY9srxnpMeyE8zAAgAAANgJmSQpp0mShLG5/jmN608dva7ydVht+7NdYx5qn3BK49oja9syW6yFtfRvD/veX0zd/maf+sghb5xYs2eHHkJDPvOuN46aPbl26A/5q5Oaf3Hl9D03pKEwAwsAAABgp7UWck93janOpGOreiu3dJWy2ST9XWfTUXVtR9Z1/KG7qTzkmUNjarKTG3Od/eU9Nt7NNvWWDr5+4U495KSD66aMGuFVvQQsAAAAgJ22vlhz+/ptz0taU6htqurfzmOPPqj6Dx899M//ffmCFzpCCC98/NDRNdnP/GptXS5Jv3jUlrc/sqLnv93RsuVjG/KZjuuO/Oyv1h47ufaM19UvXN9/1Y9WPd7SU7n9hofWzz+8cUlrYf7Ny6aOzv3T/IlvnVmXJOGehZ0fXbB6Y3epcrePLVj9lYc3TB+T+9r5k0+ZUbdyU+GjC1bf+2JnCGF8fdWX5x8079CGhnzm8/evO+N1DXMPqQ8hpF886v13rfrWY63DdQB3ioAFAAAAsNPGZPtPaNyQy6TF8uZzBauScjZJH24fvwtb+8WLnTc9svHog6qHeP8Pzmn+xM/X/PNvNtx0/uQfXjr18C8vqtz+nmPHnPHtZU+v7s1lk19cOb1UTi+7fWVjdfam8yfd/M4p77hl+cAWKndY0lo47quL3zN7zI8umzbzHxa29pR+/t6DJzRUffjulzf1lY+ZWPPeO1r+9bxJR4yvfscty1/uKO7Crg0LAQsAAABgp43L9Z02eu3i3oa2Yr5yS1NV3+vr2v/YM3ovPPutT2369yfaQgif/dXaWy+ZeuSE6iUb+0MItz/d/vTq3hDC3EPqXz+h+tRvLPn10u4Qwqzm3A3nTBxbl+0rppUtzDu0/vDx1Rd8b8WiDf2fv3/dJ08ff8brGtZ1Fo+bUnv2vy27Z2FnCKEyJ6u9r9xfSl9Y17cX9mswAhYAAADArmgt5f+rfcLqV65CODHf21S151exCiGEsHjD5lMUK7OimmozS0IIISxr23z7zOZ8CGGgOi3a0B9CmDwqV+lcIYSZTfkQwnMfO3Rgm1NH5ZpqsyGEx1t698Iu7BQBCwAAAGCnpSH0ljLtpVxHafMC53WlUm85W053/NjKYu2jajIhhEwSxtVXbXn76FduH18/aLcZ+K0jJ1SHEJa1Fir/W3qln7VsKoQQDh2bX9/VE0KY1ZwPISxr/dPKXJXy9YavLFr6ymP7Sum5RzSGEI4Yn1/X9aqzBZMkjCwBCwAAAGAnlNM0k2wvU2WSdOuMNamx6qzDGiq/fmRFz4bu0odOan5xff9FR48aU7P5YoUrNxXXd5WuefPYlzYWLjy6cVTNoBcx/O9zmn7X0lMopZ88fdwDL3Utays05F9153sXdS1p7b/p/Ml//bPVjdWZT7xl3C1PtLX3lQfudt+iznVdxRvOmfjpe9dWZZIPnNj03+5o+eWLncvbCt+8cPJf/+eaYjk96qDqLz+0oa2nNH1M7uTpdY+u7CmUhtDn9oChXs0RAAAAgHJIVhdqZ9dvfHPj+gn5vlNHrT2r6eXK16mj1k7I9725cf3s+o2rCzXl8KppS287pP7n751e+ZrYUHX1Xaumjc7dd9WMcrr5/L4QQrGcvv+ulkmNVb+4cnpPIR04T3BrP3hq02feNv6Oy6Y9/XLfZbev3PoOPYXymd9etqq9eOfl0/7lvEk//MOmD/7k5RBCJtn8RO195fk3Lx9Vk3ng6hl3XDZ1Y3cphNDVXz7zO8uWtRVuvWTqty+aUrnx67/d2NJevP/9M9559KhhO447KZk4ceJIPTe7b+zYsSGEzs7OXXt4Q0NDPp8f1hHB3tDf3x92450PAACwpbajL930hsuGfv+GbPG4hg0za7qasv3rCtWlV6YHZUN5fK6vtZRf0lv/eOfYztIeOe+tIZ/puO7Ijy1Y/ZWHN+zCww8fX/3Cxw+96Hsr7nq2fdjHtrXRf/j+mGdu3f3tOIUQAAAAYCd0lqp+3T7hN+1pEtL01dOsKreUQ1JKR3rVqG2Z1Zz/5OnjugvlB5d0jfRYdo6ABQAAALBzSmlSCjEmqu1orM48+eFD1ncVL7+9ZUN3aaSHs3MELAAAAIB9Rmd/Ofm7Z3fhgR195dGffX7Yx7N3WMQdAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAHBAq+ptHekh7LeG69gKWAAAAMABrWb1E0m5MNKj2A8l5ULN6ieGZVMCFgAAAHBAq+pc0/zoVzWs4ZWUC2Mf/WpV55ph2VrVsGwFAAAAYN/VsOS+mnXP9E6cXaxpGumx7A+qeltrVj8xXPUqCFgAAAAAIYSqzjUNi34+0qNg25xCCAAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqAB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alt="Workspace ▸ Project"></div>
+<p class="rg"><b>Trái</b>: danh sách project — chỉ hiện ở tab này · <b>Phải</b>: Tên · Mô tả · Instructions · thư mục</p>
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i on">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="i">Cài đặt</div><div class="acct"><span>👤 local</span><span class="lang">VN ▾</span><span class="thm">🌙</span></div></div><div class="main"><div class="r tb"><div class="ttl">Quản lý project</div><div class="grow"></div><div class="btn pri">+ Project mới</div></div><div class="r grow"><div class="c w32 pane"><div class="hd2 row">PROJECT<span class="pchev">‹</span></div><div class="li">Trạm sạc EV — Cổng vận hành<span class="s">6 đoạn chat · 4 task</span></div><div class="li on">Báo cáo tài chính Q3<span class="s">2 đoạn chat · 3 task</span></div><div class="li">Cổng tra cứu tài liệu ISO<span class="s">1 đoạn chat · 1 task</span></div><div class="grow"></div></div><div class="c grow"><div class="lbl">Tên</div><div class="inp">Báo cáo tài chính Q3</div><div class="lbl">Mô tả</div><div class="inp">Tự động gom số liệu từ Excel phòng ban, dựng bảng tổng hợp và slide.</div><div class="lbl">Instructions</div><div class="inp tall">Đơn vị tiền tệ mặc định VND. Làm tròn tới nghìn đồng.<br>Mọi con số phải truy được về file nguồn.</div><div class="lbl">Thư mục làm việc</div><div class="r tb"><div class="inp grow">…\workspaces\bao-cao-tai-chinh-q3</div><div class="btn">Đổi</div><div class="btn">Mở</div></div><div class="grow"></div><div class="r tb end"><div class="btn pri">Lưu project</div></div></div></div></div><div class="dock fab" title="AI Assistant — trợ lý cách dùng app"><span class="spark">✨</span></div></div>
+<details class="ctl"><summary>Kiểm kê control — <b>11</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>Thu gọn danh sách project</td><td class="mut">nút</td><td><code>lambda: self._set_projects_collapsed(True)</code></td><td class="mut">ui\workspace_tab.py:90</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">danh sách</td><td><code>self._on_select</code></td><td class="mut">ui\workspace_tab.py:97</td><td class="mv">→ giữ ở màn Quản lý project + thêm thanh chọn đầu trang</td></tr><tr><td>Project mới</td><td class="mut">nút</td><td><code>self._create</code></td><td class="mut">ui\workspace_tab.py:101</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xóa</td><td class="mut">nút</td><td><code>self._delete</code></td><td class="mut">ui\workspace_tab.py:105</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">dải tab</td><td><code>self._on_tab_changed</code></td><td class="mut">ui\workspace_tab.py:129</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>project.name</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\workspace_tab.py:193</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>project.description</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\workspace_tab.py:194</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>vd: "Trả lời bằng tiếng Việt. Team đang xây tool báo cáo X; </td><td class="mut">ô nhập nhiều dòng</td><td><code>—</code></td><td class="mut">ui\workspace_tab.py:203</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Đổi thư mục…</td><td class="mut">nút</td><td><code>self._pick_folder</code></td><td class="mut">ui\workspace_tab.py:211</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mở thư mục</td><td class="mut">nút</td><td><code>self._open_workspace</code></td><td class="mut">ui\workspace_tab.py:214</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Lưu project</td><td class="mut">nút</td><td><code>self._save</code></td><td class="mut">ui\workspace_tab.py:223</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li><b>Pane trái đổi danh tính theo tab</b> (<code>workspace_tab.py:310-338</code>): Project → danh sách project, Cowork → History, còn lại → trống.</li><li>History chỉ tới được từ tab Cowork.</li><li>Bộ chọn project chỉ có ở tab Project.</li><li>2/3 chiều cao dưới là khoảng trống chết.</li><li>Header <i>“Workspace — Projects”</i> hiện ở <b>mọi</b> sub-tab.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>History lên sidebar thành <b>RECENTS</b>, luôn thấy.</li><li>Thanh chọn project ở đầu trang, dùng chung mọi màn.</li><li>Pane trái cố định, không đổi danh tính.</li><li>Header đổi theo màn.</li></ul></div>
+</div></div></section><section class="sec" id="workspace-cowork">
+<div class="hd"><b>5. Workspace ▸ Cowork</b><span class="tag">ui/cowork_tab.py:21</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Chat với agent. Agent đọc/ghi tệp trong sandbox, chạy lệnh, gọi MCP.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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ca4ebNmzk5OY6OjocOHbp169bPP/9c51Dbtm37+OOPCSHr16/fu3ev2jiaDkRtGoQQoVD4008/xcTE0Gi0/Px8tQPbV1RUbNu27dChQ3Q6vbS0tLS0VJdtVfs5KjEYDEII9d9CqbCw8Pz58xKJRFPyAAAAAAAAddahQ4cePXp4e3sTQtq1a9ejRw9fX19CCI/HW7x48aBBgyZNmkS1wKqsrAwICIiJifn666+Dg4OnTZv27Nmz2gFfvXoVERExdOjQb775RiQS0Wg0IyMjQsgvv/wyZsyYoKCg6dOnP3/+nBDy8uXLgIAA5SjGEyZMWLduXY1o1E537tw5adKkxYsXq41Twx9//OHu7u7l5RUfH29nZzdgwABqOYvFCg8P//XXX/V05uCdoYAFBnD27Nlr166NHz++srLyl19+yc3NHT9+/Nq1a1+8eGFmZkYIEQgEPB6PENKzZ087OztbW1sfHx9CSGFhoWocqqjUp08fNzc3qnBT51A1qI2jaeXaaVBatmzp6enp7u5uampKCKmqqqq9bcuWLTt06ODm5mZra0sIURaqtG/r6OhICElLS6MatRJClCW21q1bE0ICAwNv3bp18uRJLy+vu3fvXrhwQcvBAgAAAAAAaHLy5Ell98CtW7fqskl1dfWCBQvkcvn+/fv79eu3YsWKsrIy6qXY2Ng+ffps3LhRLBavXLmyxm/zUql04cKFVVVVGzdu7Nu37507d5QvVVZWfvvtt/v27RMKhTqmoXT58uU1a9ZER0frEicuLq5Xr16EkLFjxy5dutTS0lL5Us+ePXNycpSdb6CRoYAFBqNQKAghUqn0jz/+4PF4n3766YwZM5QVGXt7e0JIfHx8UVERn89PTEwk/yvcKNnY2BBC7ty5k5mZSUWrcyilly9faoqjSe00KMpiVo1WUao0raN92169ehkbG/P5/E2bNhUXF/N4vHXr1kkkEhcXF2pofGpDY2Njqo+hSCTSfggAAAAAAABqjRo1qk2bNoQQMzOz6dOn67JJQkJCVlbW3LlznZ2dp06dKhaLlcNgDRgwICQkpFu3bjNmzMjLy8vMzFTdMD4+vqCgYP78+V26dBk+fHifPn2UL82dO9fLy8vNzS0oKOjVq1fvdAj9+/d3c3PTMU5mZmbbtm3VxmnTpg2dTq+RMzSa/8fencdFVff//38PO8ywDAgCrhm4kaVYlkqpuaQSqGjuppe7XW4pYrnkTuaWaeVWbpcbRGqipSJ0ablc7hqouVBk4iAgyiLMDMx8/5hf8+EHwyIic8TH/dYfZ868z+u8zjh2g6fn/T5VugZWamrqyZMnDfeSJCcnv/zyy4bV3fBMkMlkBQUFer1eJpOVMkyv1xcUFJQS2Yh/1sAyaNeunSGM//TTT0WhXKl9+/br16+/fv268Zl9devWff311wvXMYz5+++/Bw8eLIRo1qyZ4cmDFSgl/smhNmzYcPz4ccMdsEXqlKR4Gx999FHphzwhZ2fnSZMmffbZZwcOHCh8d1VoaKhMJrtw4cKECROMO62trQ3/gAAAAAAAj8vS0nLChAmhoaHDhw93cnIqzyF3794VQhh+PzIwzoCpVauWYcPw+1dWVlbhA1NSUsQ/00qEEMa7n/R6fXR09NGjR2/fvn3v3j0rq8eLMjw9PctZJy8vLz8/3zAPpjiZTKZQKEqZnYOnquoCrLy8vKVLlzZq1Mjwjb927dq1a9datmxZzr8AMLvatWtbWlquW7eu9BXBHz58aGlpafy/UkksLCw8PT27d+8+aNCgtLS0y5cvJyYmvvfeeykpKYZF0B0dHVevXv3ll18mJCRYWVk1b958woQJ1tbWhYs4OzuvWrVq9erVV65csbCwaNSoUd++fStWSgjRv3//hISEW7duCSFM1ilJ8TZKv/ZKERQU5OrqunXr1ps3b9rZ2Wk0mtzc3IiICD8/Pzc3t4YNG/7111+WlpYvvvjiiBEjSvoHBAAAAAAo0xtvvNGvX7+QkJByjjeEU1u3bvXy8jLssba2NkxtMS77a7iPyRgtGRjWb0lJSTH81mn8RSw2NnbFihULFix46aWX9uzZY1iIyt7eXvyz2ItOpzNWLs54g4XJOoXZ2tpaWlqWFFHp9fqcnBy5XF7OzwGVq+oCrOTkZJ1ON3z4cMP9O3369Fm/fv3s2bMDAgIKD7O1tW3durW7u3uVNYZysrOzmzFjxq+//mpyLScjDw+PkJCQkh7wd+TIEZOHGNZNN/jkk08MG/Xr11+2bFnpXb344otF5i1XuFTt2rU3bdpUep3Cc7BLb6PwSONNUs7Ozsb99erVKzwmKiqq9GOLa9u2bdu2bQ3bN27cmDx58i+//PLRRx+Fh4dv3LixpKMAAAAA4HEVnuRRppYtW7q4uHz11VcjR44sKCj44YcfZs6caQiw9uzZ07hxYysrq61bt7Zo0aJIgPXqq6/a29uvXLly7NixV65cOXfunGGxYJVKZVgjJSkp6fDhw4bBHh4ezs7OUVFR3t7eR48ezcnJKbMxk3UKk8lkdevW/fPPPw3P+Cri77//LigoMEyoRNWrugBLr9dbWFgYZ5/JZLKBAwceOXIkPz+/8LDU1NSlS5fOnz+/pASkuMDAwG3btimVykruGMUYwilzdwETfH19WakdAAAAgBTI5fKlS5d+8cUXEyZMcHR0fPvtt41vde7cedOmTUlJSa+88krxpVdcXFwWLly4evXqDz/8sG3bth06dPjtt9+EEN27dz9x4sT06dP9/Pxat24dHR0thLC0tPzoo49Wrlw5ZcqUvn37ljkNqKQ6RbRu3frUqVNDhgwp/tapU6e8vLyMMxxRxWTGp549bbdu3Vq3bt2SJUtKH6bX66dNm/bvf//7hRdeKPJWaGioYfltox49ekycOPF5DrDS09NFORZpelzJycmVXhOogFK+inxLAQAAgNKZ/Jn5woULLVq0qPpmcnNzO3fuPHHixL59+1b92cvv3r17/fr1+/rrr5s0aVJ4f0FBwYABAwYOHNizZ09z9fbMqdwvm+SeQiiTySwsLHQ6XfG3li1bFhsbu337djs7u9jY2NjY2IkTJ5azbEJCwscff1ypnQIAAAAAgBINHTo0Li7O3F08Hg8Pj/Hjxy9ZsqTI8+g3btzo5eVV+IlkqGKSC7Aq5sqVK//617+Cg4O/+OILIURmZmZgYKDx3dDQ0I8//rjIYltCiMDAwNjY2EGDBvXq1evIkSOnT58eOHBgr169du3aZbLI8ePHDfs//fTT3r179+rV6+jRo1VxeQAAAAAAPGssLCxKf0K9NPXu3XvTpk1FHvw1atSoL7744lm8nGqj6tbAeqoOHTq0fPnyjIyMKVOmdOjQoX79+kUGTJ8+3bjcdWFnzpxZt27d6dOnV65c2bhx46+++io5OXnq1KnvvPOOpaWlyXPNnj27Xr163377bWpqamJiYqVfCwAAAAAA1UDhx2TZ29uX9FAsoDyqSXY4YMAAV1fXF198sWXLloaHcZZTnz59FArF22+/bW1tHRISolQq/fz86tWrd/v2bZPjr127lpqaOmnSJBcXF19f33feeadyLgAAAAAAAAAlqCYBlvHRm46Ojo+1LL2bm5thw8HBwfB4TsO2Wq02OT45Obl+/fol3ZwFAAAAAACASldNAqwi7OzsNBqNRqMxvLx//35lFVEqlcnJyZXVJwAAAAAAAMpUdQGWTCbT6XR6vb70YXq9XqfTPeG6aDY2NrVq1YqMjMzNzd23b19KSkplFXnppZcKCgq+/fbbzMzMq1evxsTEPEmfAAAAAABUJQcHh0ePHpm7C1R/jx49cnBwqMSCVbeIu7e3t4WFxcaNG52cnEoZlpmZaWFh4eXl9YSnmzJlyrJly3bu3BkUFNSkSZPKKmJtbf3pp5+uWrVq0KBBrq6uU6dOfcI+q6s8tVqtVufnF5i7EUiOlZWlra2tna2tuRsBAAAAnkcKhSI9Pb1ykwWguNzc3NLzn8cle6wVo55QamrqyZMnS1peysDW1rZ169bu7u5V1tUzLT09XQjh7e1duWWTk5MrVjMrOzstLSNXnWdtZWVjY2NlxWJhKCo/v0Cj0Wjz8+3tbGu4uTkq5KUMLuWrWOFvKQAAAPCcKOln5osXL3p4eLi7u1tbW1d9V6j2Hj16lJeXl5SU1KJFi0osW3V3YAkh3N3dg4ODq/KMT06tVo8bN27dunX8xS7TnbsqjUardHWuaV3D3L3gGaDRatPS07Oysry9PM3dCwAAAPAcad68eVpa2u+//67Vas3dC6ohBwcHJyenyk2vRBUHWM8iW1vbjRs3mrsLqdPpdL9fv+nm5qp0cTZ3L3hm2Fhb1/Rwz8rOufr7jcYNfWQymbk7AgAAAJ4XNWrUqFGDOw/wLKmeTyFEFbt+41atOrUUpc4FA0xyVMhr1/K6dv2muRsBAAAAAEgXd2DhSd25q3J1VVo92YMj8TyztLR0Vbokq1K8PWuauxcAAADguZCTk5OVlaXT6czdCKoha2trGxsbZ+dKnqFFgIUnkpWdrdFomTmIJ+ToqEi5l5aVne2oUJi7FwAAAKCau3fvnrW1tYeHhwU3IuAp0Gq1OTk5d+/e9fLyqsSyfFnxRNLSMpRK0itUAqWLc1rafXN3AQAAAFRzOTk51tbWSqWS9ApPibW1tYuLi1wuz8nJqcSyfF/xRHLVeTY8nxGVwdraKk+tNncXAAAAQDWXlZVV6XO7gOLkcnl2dnYlFiTAQsXlqdXWVsxCReWQyWSWVpZqtcbcjQAAAADVmU6n494rVAFLS8uCgoJKLMi3BVxxDgAAIABJREFUFhWnVqttbGzM3QWqD1tb27y8PHN3AQAAAACQHAIsVFx+foGVlaW5u0D1YWVhkV+pCT0AAAAAoHogwAIAAAAAAICkEWABAAAAAABA0giwgPLSarWjR436+/ZtczcCAAAAAChNZGTk4sWLzd0FKhMBFlAGtVo9buzYzz77bM/u3UHBwbXr1CkyIDgoKCMjQ6fTjRo58t69e4adFy9cGDJ48NmzZyt20t27d69YseKJ+i7W4dMYDAAAAKB6GDZsWEBAQEBAQGBg4JIlS7RabZH9AQEBw4YNK3zIypUrg4ODCz9pzji4S5cuo0eP3rNnj06nM771/vvvFzlpampq+/btt23bVua5ACtzNwA8nj/++GP7tm0XL17Mzc318PDo1q1b3379nuoZt2zZMmrUqPMXLnh5e7/55pslDbOwsNjwzTeG7Uc5Ofv371+3bl14eHijRo0cHR2faodP7rvISAe5PDAw0NyNAAAAADCblStXtmzZ8u7du5988klERMTgwYON+1999dUig7VabVxcXN26dY8fP/7WW28VKZKamhofH79u3br4+PjZs2cb3srIyDh9+nSrVq2MgyMjIxUKRZEeip8LEARYeLZcvHBhwYIF/fv3HzlqlKOj4/Xff//vf//7tE86evRoIYR/y5blP8RBLp81e7YQYuGiRU+rrUp1+++/69evb+4uAAAAAJiZTCbz9vYOCAi4XdbaKUePHm3YsOFbb721f//+wgGWoYiHh8fbb7/dsGHDoUOH9uvXr2HDhkKIDh06REREGAOsnJycmJiY1157rZy9derUafr06evXr8/JyZk8ebKTk9OyZcsePXo0aNCgQYMGCSHu3r27ePHihISEF198sVmzZo998ZA2CU0hTE9PT09PN3cXkC6tVrtkyZLx48e/17evp6enXC5v4e//4ZQphnfT0tIWzJ/fp3fvAf37r1+3zni/a3BQ0M9xce8PGdI7JCQuNvbMmTNDBg/uHRISGRFR/BQRu3b179evZ8+e69auLb2sScbJd6mpqTM+/rhnz57//uCDmzdvCiEyMzODg4KMI8PCwk6cOFHkcJVKFRYWFhwUNGnixNTUVOP+kno4dPDg8OHDg4OCwsLCHjx4YOzh+PHjw4cP71XoKoQQV69eHTFiRM+ePVevWlXkvGFhYQd/+mntmjVdOnfOyckpPrg8zQMAAACoBvR6/a1btw4fPlwkkypu//797dq1e+utt86cOVP495fCateu/dJLL126dMnwsmPHjomJiX/88Yfh5b59+zp06ODg4FD+9v73v/9t2rRpypQpy5cvj4iIWL9+/WefffbNN9/cv39fp9OFhYU1b958796948ePj4mJKX9ZPBMkEWDp9frNmzfPnj179uzZmzdv1uv15u4IUvTb5ct6vb7D228Xf0un082aObN2nTqbt2xZtnx5QkLC9u3bje+eOXt2zdq14ydMWLV69ffff79q9er5CxZs2bKlyEpP165dO3DgwNdr1uzdu3fM2LFlli2JTqebPWtW06ZNd+7YERISsmjhQuOs7zKPerlZs527do0eM+bnuLgyL+2PP/6YMWPGzl27ZDLZ999/byx1JCZm+fLlS5ct++ngwYSEBMPOw4cOLV26dMWKFXFxcZcvXy586iVLlnTt1m3suHGHY2LkcnnpgwEAAABUV5MnT37zzTcnTJgwZcqUtm3bFt5vWJfqyy+/NOy5e/fuhQsX3nzzTRcXl2bNmv34448l1axRo0Z2drZh28rKqk+fPhEREUKI/Pz83bt39+3bt3gPRc5VWL9+/RQKRadOnWxsbN577z1XV9dmzZrVr1//r7/+SkhI0Gq1//rXvxQKRbNmzYIK/Rs8qgdJBFhnzpy5ceNGeHh4eHj4jRs3zpw5Y+6O8HSp8/ISExNvFZKYmKjOyyv9qNTUVG9vb8N2Tk5Ol86dDf8JIa5evapWq4cNG6ZQKGrVqjV6zJjYI0eMB/bu3Vsul3fo0MHG2rpXr15KpdLPz69u3bpF7om1tLR89OjR/fv3jXtKL1uSq1evarTawUOG2Ds4dOzUSSaTlXnzreGo/Pz8wUOGyOVyPz+/bt27l9nD2HHjfHx85HL52x06FH424oCBA5VKpY+Pz6stWyYmJhp29h8wwNXVtUGDBi1btkxKSiq9mccaDAAAAKB6WLly5YEDB5o0aXL8+PEi+3/99ddff/11/Pjxhj0//vhjs2bNXFxchBAdOnQ4cOBASXei3Llzx8PDw/iyR48ev/76a0ZGRmxsbOPGjb28vIr3UORchbm5uRk2HBwc3N3dDdtyuVytVqtUqrp16xpHOjk5Pda1Q/oksQbW3bt3vby8DF/9evXqGZ/jhmopNTV1xfLlBQUFlpaWxp2Gl1OmTjX+P6g4haOj8cZUuVx+OCYmJyenV8+eQoh7KSm1a9eWyWSGd729vQvnUK6uroYNBweHGjVqGCtoNJrC9X19fUeMHDnnk09q1a49ceLE2rVrl162JPdSUv6+fduQrBmkp6Uplcoyj6pdu7bxpaOjo2FGbSk9HDt2LC429q+//kpJSfH39zcea/wMHR0djbFgzZo1i+8syWMNBgAAAFBtODs7f/LJJwMHDuzcuXPTpk1NjtHpdD/++GNKSkpAQIBx5/nz51sWWzj4t99+S0xMbNOmjXGPQqHo0qXL3r17f/nll9DQ0Ers3MnJKSUlxfgyOTm5EotDCswfYCUkJPzvf/97+PChYTXuq1evdunSpYp7CAwM3LZtW5kRAyrF6dOnX3zxxREjRxpDGSGEXq//9ptvTp8+XcqD8Jo1a5aRkXHh/PkWhcIaA7caNe4kJ+v1ekPN5OTkwhl/+XXr1q1Lly47d+xYMH/+uvXrK1ZWqVQ2btx41erVhXdq/mFjYyOEKB6EOTo5FY5uVXfvln5p8fHx69etmzBxYr169S5dvPjrr79W4HrLyc7OrvTmAQAAAFQbzs7OI0aMWLZs2TfffGNhYWLa1pkzZ7Kysg4ePGh8gODs2bOjo6ONAZZOp0tJSTl16tTGjRunTJlS5Hftfv36DR8+vG7duiUFZIXdvXt3/PjxO3fuNPwyUoqXX345LS3tu+++CwwM/O23344dO1b4cYeoBqp6CmF2dvbhw4cPHz6cnZ2dmpq6Zs2ab7/9tlOnTiNGjDh16tSpU6eGDh1a+tPQEhMT58+f36tXr65du77//vu7du16Sq2OHj26Y8eOHTt27NWr14oVK4qs3v3ll1/26dOnoKDALL090+rXr3/9+vXIiIgb168b9ty4fj0yIuL69eul/9E7OTkNHzFi0aJFhw8dysjIyMvLi4+PN7xl+B/f5s2bs7Oz7969+82GDYHvvlux9mQymY+vr+HmrIqVbernl56eHh0dnZuba9xpY2PjXatW1Hff5ebmRkdH3yv0LwMGfn5+6enpe/bsyX306OzZs8ZbdkvqIUWlcnZ29vHxEULE/fxzxS7WSC6X//HHHyWt1VVm8/n5+UMGDzbcHzdt2rRzZ88KIdZ8/XXUd989YWMAAAAAql7Pnj0LCgp++OEHw0vjulQBAQEFBQX79+8PDg42pldCiKFDhx47diwzM9MwuF27diNHjjx16lR4eHjXrl2LFK9Zs+Zrr702YMAAk6cuci4hhPGf80tnb2+/aNGi6OjooKCg/fv39+jRo2LXDsmq0juwsrOzw8PDDXO4Dh06pNFoWrVqNW/ePEdHRyGEf7Hbaoq7cOHC/Pnz+/fvP3r0aIVCcf369Z+f+Ff3UixdurRFixYqlWrBggVRUVHGv2Barfa///1vnTp1Tp48abxnsop7e3b5+fkNHTZszddfJyYmfjxjhhDi8uXLv/zyy7gPPvDz8yv92F69erm7u38XGbl69Wpra+u6detO/vBDIYSVldWiRYu+XL168ODBTo6OXbt2DQkJedzGzp87Fx4enpubW7du3amhoRUua2NjM2/+/C9Xr16/bp2NjU1AQIDhUYmTJ0/+fMWKXbt2Bb77buMmTYocZW9v/8mcOV+uXr3x229ff/31wMBAVUpKKT20DQj4+eefhw0dWq9evfbt2xuf61ExXbt2nT1rVt/33vvPf/5jckDpzev1ep1OZ8i/9DqdvtDOJ+kKAAAAQJXZvHmzcdvCwmLLli3F9xssWLCgyB4fH5+4uDiTg03Wnzt3rnF72rRpJscYeHl57d6927B9pNCSxBGFHitvXO69efPmW7duLakBPOtkeVW4wM3hw4fj4+OnTJkihJgzZ07Tpk379etX/sO1Wu3gwYMNN0YVfzcwMHDSpElr164dNmxYcHDwwYMHd+3alZqa2qRJk1mzZhkW2AoMDJw7d+769etVKlWLFi1CQ0MN67oFBgbOmDHjm2++SU9P79ix46RJk4QQo0ePHjt2rCFW+89//qNSqYx/r+Li4mJiYgICAk6cOLFo0aIye3t6DMskGZc2ryzJycnlqZl+PyNPrVa6OFfgFN9HRQkhevfpU2Qbz7OMjAd2dnZurv93g3EpX8VyfksBAACA55bJn5n5QRpVpnK/bJJ4CmE5Xb58Wa/Xl5IQnTt3buvWrcHBwUKIxMTEmTNnRkREyGSyqKgo45i9e/fOmzdv27Zter1+zZo1xv2HDh1avnz5559/HhcXd/nyZeN+vV6fmJgYGxtbeHW6n3766c033wwICDh37lxaWlp5esNzKCws7C8e4QcAAAAAwBOr0imEbdq0+e9//7tixQohRHZ29vHjx9Vqda9evQxTCMuUmppqjO6ys7ONM1pjY2MNG4Vn4X7wwQeGjY4dO548edJYZNCgQYYio0aNMtxpZTBgwABXV1dXV9eWLVv++eefL7/8svjnVkYnJ6fZs2cbZziqVKpLly7NmjXL2dnZz8/v4MGDgwcPLrM3FFZQUHDv3j1fX1/DS2dn5xs3bhR5LmE1sGTJEnO3AAAAAABAdVClAZZCoZgxY8aJEyeEEKNHj87NzY2KipozZ05gYKBSqTx8+LAQomvXrs2bNy/pcMMq0Ybt2NjYwlGREKJmzZrG7aNHj8bGxiYlJaWkpBR+lqeXl5dhQ6lUZmdnG1eD8/T0NOx3dHQ0TqtcunSpj49PeHj4yZMnjQHWoUOH/Pz8nJ2dhRDt2rWLjIwcNGhQmb3B6NrVqzt37rSzs3ujdWvDnjdatz5z5sz8efMGDhzYqHFj87YHAAAAAACkpkoDLCGEQqHo0qWLcXvcuHEJCQk7dux48ODBe++9J4TYsmWLi4uLyafRvfzyyxkZGefPny9puXfj/Tvx8fFr166dNGlS/fr1L168+MsvvxjHPHz40PAIz6SkpJo1a5b5LAMnJ6cZM2YMHTq0Y8eOjRs31ul0Bw8evHfvXuHZghcvXiyzNxjk5eVt2LAhpHfvN954w/jnpVAowqZPP3Xq1Pr16xeFh9vZ2Zm3SQAAAAAAICnmXwPLz8+vVatWTZo0ad++ffv27Zs0aRIfH29ypJOT08iRIxcsWHDo0KGMjIy8vLySRqpUKhcXF8MMtSKT+DZt2pSRkaFSqdauXVv8cZ4lnXfYsGErV67U6XTnzp3Lzs7+4YcfYv/Rrl27H3/8sfy9Pefu3LmjVqs9PT3//PPPW7duxcfHx8fH37p1688///T09FSr1Xfu3DF3jwAAAAAAQFqq+g4sk7y8vE6fPv3gwQMhRFJSUklTCIUQISEh7u7uERERX3zxhY2NTZ06dQzPNCwiICAgLi5uyJAh9evXb9++/aVLl4xvtWrVasyYMQUFBR07duzfv385OwwKCtq/f//+/fsvXrwYGBhoXGlLCDFo0KDx48dnZmaWs7fnnKNCIYT4ZsMGw0u1Wi2EsLW1LTIAAAAAAADASGZc78mM9Hr9li1bTp8+LYRo1arV0KFDy5zZVzGBgYHbtm0zTCGsHtLT04UQlf4M1HI+6jL9fkaeWq10ca7wib6PihJC9O7Tp8IVUJ1kZDyws7Nzc/2/v6GlfBV5+i8AAABQOpM/M/ODNKpM5X7ZJHEHlkwmGzZsWFBQkBDCzc3N3O1Auvbt27d3z560tLSGjRp9+OGHtWrVEkLcuXNnxfLl165d8/L2/vDDD/38/EoaKYQ4EhOzY8cOlUpVu3bt9f/cCFaYyWp/3769cuXKGzduvPDCCxMnTWrQoEE5DyzzjBU43c4dO6Kjo3MePWrRvPnU0FDDQzxLul4AAAAAAKoB86+BZeTm5kZ69byRyWQWFo/xJfwjMXHhokURkZENGzb8/PPPhRB6vX7B/PnNmzePiIzs3r37/HnztFqtyZFCiGPHjkVEREwNDd0XHW0yvSqpWnh4uL+//65du95q127hggXlP7D0M1bsdJlZWV+sWrVly5aCgoId27eX9MkAAAAAAFBtSCjAqgIHDhyoTvMHq4F3unbt8s475R8/afJkb29ve3v7d99996+kJCHErVu3Hj58OHjIEIVCERISYmtrG//bbyZHCiE2b948a/ZsPz8/KyvT9x6arKbX6xMTE98NCrJ3cOjRo0dycrJh6a4yDyzzjOU/nUqlGjRwoEajEUKMGTPG3d3dxcWlTdu2qampJX0yAAAAAABUG89XgAWpkcvlcrm8AgdevXLFx8dHCJF461bDhg2Ni6b5+vr+/f9/jqFxZHJyslajObB/f4/g4PeHDDl86FDxsiaryWSygICAfT/8kJeXt2/fPn9//8KrzpdyYJlnfNzTGUcWFBT8lZR0+NChrt26lfTJAAAAAABQbUhiDSzgsSQkJGzbtm3evHlCiOycHHmhBxc6yOWFb48qPDJFpUpNTVUqlbt27fr999/nzJnTqHFjpVLZp3dvw+DQ0NCSqg0eMmTihAlbt261trZe8fnnQojMzMwyDzR5xnr16hmHlf90np6e23fsMAw7ceLE3DlzZDJZz549X3nllZI+GQAAAAAAqg0CLDxj9uzZc+zo0U8XL/b09BRCOCoUebm5xncf5eS4/jNLtMhISysrZ2fnAQMHCiGat2jRqlWrS5cuBQcHH46JMR4ec/hw8Wrp6enTw8Jmzpr1yiuvXL1yZe6cOZ+vXOnp6VnmgSbPWDjAMtl8SaczDmvTps3BQ4fS0tIiIyLmzpmzKDzc5PUCAAAAAFBtMIUQz5JNmzb9lZS0bPlyY0bjXatWYmKicUBiYmLdevVMjvTy8lJrNAUFBYaXMpnMrthMQJPVzp87V6dOnddff93Ozq6Fv7+Pj8+ZM2fKc2CZZ6zw6SwsLDw8PN4fOvTChQs6nc7k9QIAAAAAUG0QYOGZoVKpfo6LmzBxoqWlpXFn06ZNZTJZVFRUTk7O7t27HRwcfHx8TI50d3dv1KjRNxs25OTkXDh//uLFi6+1alXkFCar+fj63rh589zZs2q1+tLFi/Hx8cUXmTJ5YJlnLP/pVCrV4EGDNBrNjRs3IiMiHjx4kJmZuWvnzpeaNbOwsDB5vQAAAAAAVBuyvLw8c/eAiktPTxdCeHt7V27Z5OTk8tRMv5+Rp1YrXZwr9+wl+d///jd71qzCe+bOm9emTZu/kpLCw8Nv377dqFGjqaGhtWrVKmlkRkbG4sWLE+Lj69atO3bcuJdffrn4WYpXE0IcO3Zs69atKSqVu4fHoIEDO3bqVM4DyzxjOU+nUqmmTpmyecuWrKysxYsX/37tmo2NTctXXx0zZoxSqSzpeivyKZtVRsYDOzs7N9f/e1RoKV/Fcn5LAQAAgOeWyZ+Z+UEaVaZyv2wEWM+25yrAQrVHgAUAAABUIgIsmFflftmYQggAAAAAAABJI8ACAAAAAACApBFgoeKsrCzz8wvM3QWqj3ydzop16AEAAAAAxRBgoeJsbW01Go25u0D1oVar7ezszN0FAAAAAEByCLBQcXa2ttr8fHN3geojX5tva2tj7i4AAAAAAJJDgIUnYm9nq9Fqzd0FqgONRutgb2/uLgAAAAAAUkSAhSdSw80tI+OBubtAdXD/wYMabq7m7gIAAAAAIEWVHGAlJSX9/vvvlVsTUuaokNva2GRl55i7ETzbMrOy7W1tFQq5uRsBAAAAAEhRJQdYixcvXrlyZeXWhMR5e3mmp98vKOBxhKig/Pz8Bw8eennWNHcjAAAAAACJqswA6+HDh4aNzMzMSiwL6WvSyPdOsiorK9vcjeDZk5mVfSdZ1bihj7kbAQAAAABIV9EA60myp/Pnz/v4+Pj4+Jw/f/7Juvr/6HS6ESNG3Lt3z7hn5cqVBw4cqJTiT7Xm80YmkzVu6FOg06XcS9NotHq93twd4Rmg0WhV91L1Ol2TRr7m7gUAAAAAIGlWRV7v2LFj4MCBTk5OFah1/vz5li1b6vX6c+fOtW/f/rGOTUxM3LZt24ULF3Jzcz08PLp3796/f38LC4tvv/3WOObkyZPW1taBgYEV6K0kxWtGRETI5fJ33323Es/ynPD2rJmVnZ2Wdj9Prba0srS1tbWy4CkBKCpfp1Or1fnafAd7ew83N9a9AgAAAACUqWiA9fDhw4plWA8fPkxMTBw1apRer4+KisrMzCx/hQsXLsyfP79///6jR49WKBTXr1//+eefiw9r3bp169atH6urMhWvefv27RdeeKFyz/L8cFQoHBUKIYRarcnLy8tnYSwUY2VpaefubmtrY+5GAAAAAADPjKIBlnjMDCsnJ+enn37S6/UnT55s0KCB4ZAGDRqcP3/ecBNWUlLS6dOnhRAWFhZdu3aVy4vebaHVahcvXjx+/PiOHTsa9vj7+/v7+xu2AwMDt23bplQqDx48uGvXrtTU1CZNmsyaNcvFxcXw7pQpUzZu3Pjo0aN///vfTk5OK1euzM3N7devX//+/YucaOfOnbt371ar1d26dRs3bpwQonjN0NDQCxcuCCG+/vrrH374QaFQlP+jRGG2tjYkFAAAAAAAoFKYnuH18OHD8i8LJZPJhBCtW7fu06ePYY+/v/+5c+cM21FRUadOnRJClLQu0uXLl/V6vTG9KkliYuLMmTMjIiJkMllUVJRx/5kzZ9atWzdhwoRVq1ZFRUV99dVXCxcu3Lx5c0ZGRuHDr127tn///nXr1u3bt8+QXpmsuWzZsm7dun3wwQexsbGkVwAAAAAAAFJg4g4sIYSzs3M5l5qSy+W9e/custPf398wi1Cv1ycmJn766ael3MyVmprq7e1t2M7Ozu7Ro4dhOzY2tvCwDz74wLDRsWPHkydPGvf36dNHoVC8/fbbX331VUhIiFKpVCqV9erVu337tlKpNA6zsLB49OhRenq6q6trmTUBAAAAAAAgHSYCLGdn5wqv426sYJhFqNfrjfMKS6JQKFJTU43bsbGxhWMso6NHj8bGxiYlJaWkpLRs2dK4383NzbDh4OBQo0YN47ZarS58eMOGDUeNGjV79uzatWtPnjy5du3apdQEAAAAAACAdBQNsJ48vTIwziIsMxh6+eWXMzIyzp8/b1z3qrj4+Pi1a9dOmjSpfv36Fy9e/OWXXyrQUvfu3d95553t27fPmzdvw4YNlVITJclTq9VqdX4+i7ijKCsrS1tbWztbW3M3AgAAAAB4ZhQNsColvRJC+Pv7R0ZGCiFGjRpV+kgnJ6eRI0cuWLBg7NixrVq1sre3j4+PLzJGpVK5uLj4+vpqtdrY2FgbmwquDi6TyXx9fY8cOVJKTYVCkZiYqNPpLCxMLxCGUmRlZ6elZeSq86ytrGxsbKysLM3dESQnP6dAo0nX5ufb29nWcHNzVBR9sAMAAAAAAEUUDbAqJb0SQjg7O5e/YEhIiLu7e0RExBdffGFjY1OnTp0pU6YUHhAQEBAXFzdkyJD69eu3b9/+0qVLj9vPuXPnFi5cmJubW69evbCwsFJqdu3adebMmb17996+fbuDg8Pjnuh5dueuSqPRKl2da1rXMHcveAZotNq09PSsrCxvL09z9wIAAAAAkDRZXl7eUyqdlJQkhKhXr95Tqg8hRHp6uhDCuAp+ZUlOTn6smjqd7vfrN93cXBXcTYPHlJWdc/9+RuOGPobnmRZRylfxcb+lAAAAwPPG5M/M/CCNKlO5XzbTTyGsFERXz4/rN27VqlPLikmXeHyOCrmDvd216zebNPI1dy8AAAAAAIkiccCTunNX5eqqJL1ChVlaWroqXZJVKeZuBAAAAAAgUYQOeCJZ2dkajZaZg3hCjo4KtVqTlZ1t7kYAAAAAAFJEgIUnkpaWoVQ6m7sLVAdKF+e0tPvm7gIAAAAAIEUEWH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" alt="Workspace ▸ Cowork"></div>
+<p class="rg"><b>Lịch sử</b>: chat gom theo project; nhãn đậm = tên project, <b>chỉ là nhãn</b> · <b>Hội thoại</b>: bong bóng theo trục thời gian · <b>Files</b>: tệp đầu ra, gập được · <b>Composer</b>: Enter gửi · /skill · /agent · <b>Hàng dưới</b>: thư mục sandbox (chỗ thứ 2 lộ project) · model · Định tuyến · Tự chạy</p>
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i on">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="i">Cài đặt</div><div class="acct"><span>👤 local</span><span class="lang">VN ▾</span><span class="thm">🌙</span></div></div><div class="main"><div class="r tb"><div class="ttl">Gom số liệu doanh thu</div><div class="s">qwen2.5-coder</div><div class="grow"></div><div class="btn">Skills</div><div class="btn">Cuộc trò chuyện mới</div></div><div class="r grow"><div class="c grow chat"><div class="msg u">Có 6 file Excel trong thư mục input, gom lại thành 1 bảng tổng hợp giúp mình.</div><div class="msg a">Đã đọc cả 6 file. Lưu ý: <b>PB_Marketing.xlsx</b> để cột “Doanh thu” ở cột F thay vì D và có 3 dòng trống ở cuối.<br><br>Mình đã chuẩn hoá và xuất <b>tonghop_q3.xlsx</b> — 1.284 dòng, tổng 42.7 tỷ VND.</div><div class="grow"></div></div><div class="c w22 pane"><div class="hd2 row">TỆP ĐẦU RA (3)<span class="pchev">›</span></div><div class="li">tonghop_q3.xlsx</div><div class="li">BaoCao_Q3.pptx</div><div class="li">README.md</div><div class="grow"></div></div></div><div class="r tb"><div class="inp grow">Nhập yêu cầu…  (Enter để gửi)</div><div class="btn">📎</div><div class="btn pri">Gửi</div></div><div class="stat">Agent: qwen2.5-coder · Định tuyến: Tắt &nbsp;·&nbsp; ↓292.8K ↑102.7K · $0.31 &nbsp;·&nbsp; 📁 bao-cao-tai-chinh-q3</div></div><div class="dock fab" title="AI Assistant — trợ lý cách dùng app"><span class="spark">✨</span></div></div>
+<details class="ctl"><summary>Kiểm kê control — <b>26</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>Skills</td><td class="mut">nút</td><td><code>self._open_skills_manager</code></td><td class="mut">ui\cowork_tab.py:30</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Cuộc trò chuyện mới</td><td class="mut">nút</td><td><code>self.new_session</code></td><td class="mut">ui\cowork_tab.py:34</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thư mục Local…</td><td class="mut">nút</td><td><code>self._pick_output_folder</code></td><td class="mut">ui\cowork_tab.py:48</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Model/agent riêng cho tab này — độc lập với tab kia</td><td class="mut">droplist</td><td><code>self._on_agent_changed</code></td><td class="mut">ui\chat_panel.py:165</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Nén</td><td class="mut">nút</td><td><code>self._compress_messages</code></td><td class="mut">ui\chat_panel.py:177</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thu gọn bảng Files</td><td class="mut">nút</td><td><code>lambda: self._set_io_collapsed(True)</code></td><td class="mut">ui\chat_panel.py:239</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>app_icon('link</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\chat_panel.py:439</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>app_icon('edit</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\chat_panel.py:440</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Nhấp đúp để xoá một tin nhắn khỏi hàng đợi</td><td class="mut">danh sách</td><td><code>self._remove_queue_item</code></td><td class="mut">ui\composer.py:406</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Bấm trên thẻ để gỡ tệp đính kèm nhầm</td><td class="mut">danh sách</td><td><code>self._remove_attachment</code></td><td class="mut">ui\composer.py:420</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td></td><td class="mut">nút</td><td><code>self._pick_attachments</code></td><td class="mut">ui\composer.py:443</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>composer.queue_btn') if self._busy else 'composer.send</td><td class="mut">nút</td><td><code>self._on_submit</code></td><td class="mut">ui\composer.py:446</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Dừng</td><td class="mut">nút</td><td><code>self.stop_requested.emit</code></td><td class="mut">ui\composer.py:450</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Gỡ tệp này (đính kèm nhầm</td><td class="mut">nút</td><td><code>lambda _=False, path=p: self._remove_attachment_path(path)</code></td><td class="mut">ui\composer.py:599</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thu gọn bảng Lịch sử</td><td class="mut">nút</td><td><code>self.collapse_requested.emit</code></td><td class="mut">ui\sidebar.py:104</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tìm theo tiêu đề hoặc nội dung…</td><td class="mut">ô nhập</td><td><code>self.refresh; self.refresh</code></td><td class="mut">ui\sidebar.py:119</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td></td><td class="mut">nút</td><td><code>self.refresh</code></td><td class="mut">ui\sidebar.py:123</td><td class="mv">→ lên sidebar cùng RECENTS</td></tr><tr><td>—</td><td class="mut">cây</td><td><code>self._on_item; self._context_menu</code></td><td class="mut">ui\sidebar.py:132</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Làm mới</td><td class="mut">nút</td><td><code>self.refresh_requested.emit</code></td><td class="mut">ui\sidebar.py:147</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>sidebar.menu.unpin') if pinned else 'sidebar.menu.pin</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\sidebar.py:305</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Đổi tên…</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\sidebar.py:306</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xóa</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\sidebar.py:307</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>sidebar.menu.delete_selected', n=len(selected</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\sidebar.py:332</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>title</td><td class="mut">nút</td><td><code>self._toggle_body</code></td><td class="mut">ui\chat_view.py:228</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tự động định tuyến model cho khung chat này.
+Tắt: luôn dùng </td><td class="mut">droplist</td><td><code>self._on_changed</code></td><td class="mut">ui\routing_toggle.py:66</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tự chạy</td><td class="mut">ô tick</td><td><code>self._on_toggled</code></td><td class="mut">ui\routing_toggle.py:133</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Hàng dưới composer nhồi 5 control + usage/cost + nút thư mục (<code>chat_panel.py:142-181</code>).</li><li>Không có lối tắt “chat mới” — phải chọn project → mở nav → Cowork.</li><li><b>Màn duy nhất thấy được History.</b></li><li>Ba pane bóp vùng đọc hội thoại còn chưa tới 60% bề ngang.</li><li><b>Biết project nào, nhưng không đổi được.</b> Project hiện ở 2 chỗ (nhãn nhóm Lịch sử, nhãn thư mục đáy) — cả hai chỉ là nhãn. Đổi phải quay về tab Project (<code>workspace_tab.py:323</code>).</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li><b>Bộ chọn project lên sidebar</b> — nó là trạng thái toàn cục (<code>ctx.active_project_id</code>), không phải của riêng màn nào.</li><li><b>Bộ chọn project + nút “+ Đoạn chat mới” đặt cạnh nhau</b> ở đầu sidebar: chọn project rồi bấm, không rời màn. Nút cũ trên toolbar <b>giữ nguyên</b>.</li><li>History lên sidebar, <b>vẫn gom theo project</b> + mục “Tất cả project…”.</li><li>Usage/cost xuống thanh trạng thái; vùng gõ chỉ còn nhập · đính kèm · gửi.</li></ul></div>
+</div></div></section><section class="sec" id="workspace-co4e">
+<div class="hd"><b>6. Workspace ▸ Co4E</b><span class="tag">ui/co4e_tab.py:228</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Xưởng dựng workflow node-graph. Lưu toàn cục, không theo project.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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alt="Workspace ▸ Co4E"></div>
+<p class="rg"><b>Sidebar</b>: 3 tab icon: Workflows · Agents · Skills — kéo thả được · <b>Dải tab</b>: Flow Status ghim + mỗi workflow một tab · <b>Canvas</b>: node và cạnh · <b>Phải</b>: cấu hình bước đang chọn</p>
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i on">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="i">Cài đặt</div><div class="acct"><span>👤 local</span><span class="lang">VN ▾</span><span class="thm">🌙</span></div></div><div class="main"><div class="r tb"><div class="ttl">Quy trình phát triển tính năng</div><div class="grow"></div><div class="btn">+ Bước</div><div class="btn">Auto ▾</div><div class="btn pri">▷ Chạy</div></div><div class="r grow"><div class="c w26 pane"><div class="hd2 row">WORKFLOWS<span class="ghd"><span class="gact">+ Mới</span><span class="pchev">‹</span></span></div><div class="li on">Quy trình phát triển tính năng<span class="s">5 bước · đã lưu</span></div><div class="li">Rà soát bảo mật định kỳ<span class="s">2 bước · đã lưu</span></div><div class="li">Dựng báo cáo từ Excel<span class="s">3 bước · đã lưu</span></div><div class="hd2 row">AGENTS (5)<span class="ghd"><span class="gact">+ Mới</span></span></div><div class="li">Phân tích yêu cầu<span class="s">ANALYST</span></div><div class="li">Thiết kế giải pháp<span class="s">ARCHITECT</span></div><div class="li">Lập trình viên<span class="s">CODER</span></div><div class="li">Kiểm thử<span class="s">TESTER</span></div><div class="li">Soạn tài liệu<span class="s">WRITER</span></div><div class="hd2 row">SKILLS (5)<span class="ghd"><span class="gact">Quản lý…</span></span></div><div class="li">Rà soát bảo mật · Viết test trước · Chuẩn hoá Excel · …</div><div class="hd2 row">LẦN CHẠY (6)<span class="ghd"></span></div><div class="li">✓ Quy trình phát triển<span class="s">5/5 · 08-08 15:32</span></div><div class="li">✕ Rà soát bảo mật<span class="s">3/5 · 08-06 16:32</span></div><div class="li">■ Dựng báo cáo từ Excel<span class="s">1/5 · 08-04 18:32</span></div><div class="grow"></div><div class="r tb"><div class="btn">✎</div><div class="btn">⧉</div><div class="btn">🗑</div><div class="btn grow">▷ Chạy nền</div></div></div><div class="c grow"><div class="b canvas grow"><div class="node ok">Phân tích yêu cầu</div><div class="arw">→</div><div class="node ok">Thiết kế</div><div class="arw">→</div><div class="node run">Lập trình viên</div><div class="arw">→</div><div class="node">Kiểm thử</div></div></div><div class="c w26 pane"><div class="hd2 row">CẤU HÌNH BƯỚC<span class="pchev">›</span></div><div class="li">▾ Cơ bản<span class="s">Lập trình viên · CODER</span></div><div class="inp">Hiện thực theo thiết kế. Viết test trước khi sửa logic nghiệp vụ.</div><div class="li">▸ Model &amp; quyền<span class="s">qwen2.5-coder · full</span></div><div class="li">▸ Skills &amp; tệp<span class="s">Viết test trước</span></div><div class="li">▸ Agent song song<span class="s">chưa có</span></div><div class="grow"></div></div></div></div><div class="dock fab" title="AI Assistant — trợ lý cách dùng app"><span class="spark">✨</span></div></div>
+<details class="ctl"><summary>Kiểm kê control — <b>52</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>—</td><td class="mut">danh sách</td><td><code>lambda _i: self._accept()</code></td><td class="mut">ui\co4e_tab.py:144</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>×</td><td class="mut">nút</td><td><code>lambda: self._close_flow_tab_button(btn)</code></td><td class="mut">ui\co4e_tab.py:341</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Chạy</td><td class="mut">nút</td><td><code>self._run_selected_in_background</code></td><td class="mut">ui\co4e_tab.py:459</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mới</td><td class="mut">nút</td><td><code>self._new_agent</code></td><td class="mut">ui\co4e_tab.py:476</td><td class="mv">→ nút “+ Mới” cạnh tiêu đề AGENTS</td></tr><tr><td>Quản lý skill…</td><td class="mut">nút</td><td><code>self._manage_skills</code></td><td class="mut">ui\co4e_tab.py:493</td><td class="mv">→ nút “Quản lý…” cạnh tiêu đề SKILLS</td></tr><tr><td>tip_key</td><td class="mut">nút</td><td><code>slot</code></td><td class="mut">ui\co4e_tab.py:502</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">dải tab</td><td><code>self._on_flow_tab_changed; self._close_flow_tab</code></td><td class="mut">ui\co4e_tab.py:556</td><td class="mv">→ bỏ; chọn workflow từ danh sách trái</td></tr><tr><td>＋</td><td class="mut">nút</td><td><code>self._new_workflow</code></td><td class="mut">ui\co4e_tab.py:582</td><td class="mv">→ nút “+ Mới” cạnh tiêu đề WORKFLOWS (chỗ cũ là dải tab, đã bỏ nên phải có chỗ mới)</td></tr><tr><td>self._wf.name</td><td class="mut">ô nhập</td><td><code>self._on_name_changed</code></td><td class="mut">ui\co4e_tab.py:631</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thêm</td><td class="mut">nút</td><td><code>self._add_blank_step</code></td><td class="mut">ui\co4e_tab.py:636</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Lưu</td><td class="mut">nút</td><td><code>lambda: self._save(as_template=False)</code></td><td class="mut">ui\co4e_tab.py:639</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Auto = mỗi bước tự lập kế hoạch rồi chạy · Plan = chỉ lập kế</td><td class="mut">droplist</td><td><code>self._on_mode_changed</code></td><td class="mut">ui\co4e_tab.py:645</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Chạy</td><td class="mut">nút</td><td><code>self._on_run_clicked</code></td><td class="mut">ui\co4e_tab.py:650</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>short</td><td class="mut">nút</td><td><code>self._open_workspace_folder</code></td><td class="mut">ui\co4e_tab.py:693</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Dừng</td><td class="mut">nút</td><td><code>self._stop_selected_run</code></td><td class="mut">ui\co4e_tab.py:701</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Đổi tên</td><td class="mut">nút</td><td><code>self._rename_selected_run</code></td><td class="mut">ui\co4e_tab.py:706</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xóa</td><td class="mut">nút</td><td><code>self._delete_selected_run</code></td><td class="mut">ui\co4e_tab.py:710</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xóa đã xong</td><td class="mut">nút</td><td><code>lambda: self.manager.clear_finished()</code></td><td class="mut">ui\co4e_tab.py:714</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>0</td><td class="mut">bảng</td><td><code>self._open_run_from_table; self._runs_context_menu</code></td><td class="mut">ui\co4e_tab.py:722</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thu gọn bảng cấu hình</td><td class="mut">nút</td><td><code>self._toggle_config</code></td><td class="mut">ui\co4e_tab.py:747</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mở rộng khung tin nhắn</td><td class="mut">nút</td><td><code>self._toggle_messages</code></td><td class="mut">ui\co4e_tab.py:841</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Gửi</td><td class="mut">nút</td><td><code>self._chat_send</code></td><td class="mut">ui\co4e_tab.py:873</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>icon('edit</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_tab.py:1014</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>icon('edit</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_tab.py:1015</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>icon('branch</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_tab.py:1016</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>icon('play</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_tab.py:1017</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>icon('trash</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_tab.py:1018</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mở flow</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_tab.py:1400</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mở thư mục output</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_tab.py:1404</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Đổi tên</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_tab.py:1405</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xóa</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_tab.py:1406</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>step.label</td><td class="mut">ô nhập</td><td><code>self._on_edit</code></td><td class="mut">ui\co4e_config_panel.py:44</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>step.role</td><td class="mut">ô nhập</td><td><code>self._on_edit</code></td><td class="mut">ui\co4e_config_panel.py:48</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">ô nhập nhiều dòng</td><td><code>self._on_edit</code></td><td class="mut">ui\co4e_config_panel.py:60</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Soạn bằng AI</td><td class="mut">nút</td><td><code>self._ai_draft</code></td><td class="mut">ui\co4e_config_panel.py:63</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thông tin/ngữ cảnh bổ sung cho agent hoặc step này (thêm vào</td><td class="mut">ô nhập nhiều dòng</td><td><code>self._on_edit</code></td><td class="mut">ui\co4e_config_panel.py:77</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tải danh sách model</td><td class="mut">nút</td><td><code>self._load_models</code></td><td class="mut">ui\co4e_config_panel.py:87</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._on_edit</code></td><td class="mut">ui\co4e_config_panel.py:97</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tự kiểm tra</td><td class="mut">ô tick</td><td><code>self._on_edit</code></td><td class="mut">ui\co4e_config_panel.py:104</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">ô số</td><td><code>self._on_edit</code></td><td class="mut">ui\co4e_config_panel.py:106</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Đính kèm tệp</td><td class="mut">nút</td><td><code>self._add_attachment</code></td><td class="mut">ui\co4e_config_panel.py:125</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Bỏ</td><td class="mut">nút</td><td><code>self._del_attachment</code></td><td class="mut">ui\co4e_config_panel.py:128</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">danh sách</td><td><code>self._edit_subagent</code></td><td class="mut">ui\co4e_config_panel.py:141</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thêm</td><td class="mut">nút</td><td><code>self._add_subagent</code></td><td class="mut">ui\co4e_config_panel.py:144</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Bỏ</td><td class="mut">nút</td><td><code>self._del_subagent</code></td><td class="mut">ui\co4e_config_panel.py:147</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Chạy</td><td class="mut">nút</td><td><code>lambda: self.run_node.emit(self._node_id)</code></td><td class="mut">ui\co4e_config_panel.py:159</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Chạy từ đây</td><td class="mut">nút</td><td><code>lambda: self.run_from.emit(self._node_id)</code></td><td class="mut">ui\co4e_config_panel.py:163</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xóa bước</td><td class="mut">nút</td><td><code>lambda: self.delete_node.emit(self._node_id)</code></td><td class="mut">ui\co4e_config_panel.py:166</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>＋ Add next step</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_canvas.py:188</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>→ Connect from here</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_canvas.py:189</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>🗑 Delete step</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_canvas.py:190</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>🗑 Delete connection</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_canvas.py:368</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li><b>Bốn lớp điều hướng chồng nhau</b>: nav → tab icon sidebar → dải tab flow → panel phải.</li><li>Dải tab flow lặp lại danh sách Workflows ngay bên trái.</li><li>Panel cấu hình 11 trường dọc, phải cuộn.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Bỏ dải tab flow; chọn workflow từ danh sách trái.</li><li>3 tab icon → 3 mục có nhãn cùng danh sách.</li><li>Còn <b>2 lớp</b>: chọn trái → sửa phải.</li></ul></div>
+</div></div></section><section class="sec" id="workspace-folder">
+<div class="hd"><b>7. Workspace ▸ Folder</b><span class="tag">ui/folder_tab.py:238</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Duyệt tệp + nhờ AI sửa. AI <b>không ghi đè</b> — đề xuất diff, bấm Apply mới ghi.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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alt="Workspace ▸ Folder"></div>
+<p class="rg"><b>Cây trái</b>: hệ thống tệp thật · <b>Viewer</b>: code / HTML / PDF / ảnh / bảng tính · <b>Panel AI</b>: yêu cầu → plan → diff → Apply · <b>Terminal</b>: shell thật, không qua sandbox</p>
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Trạm sạc EV — Cổng vận hành</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i on">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Trạm sạc EV — Cổng vận hành</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="i">Cài đặt</div><div class="acct"><span>👤 local</span><span class="lang">VN ▾</span><span class="thm">🌙</span></div></div><div class="main"><div class="r tb"><div class="ttl">Thư mục</div><div class="s">…\workspaces\tram-sac-ev</div><div class="grow"></div><div class="btn">Sửa</div><div class="btn">✨ AI</div><div class="btn pri">Lưu</div></div><div class="r grow"><div class="c w26 pane"><div class="li">📁 src</div><div class="li">　📄 main.py</div><div class="li">　📁 billing</div><div class="li on">　　📄 session.py</div><div class="li">📁 tests</div><div class="li">　📄 test_stations.py</div><div class="li">📄 README.md</div><div class="grow"></div></div><div class="c grow"><div class="b code grow"><span class="cm"># billing/session.py</span><br><span class="kw">def</span> <span class="fn">close_session</span>(sid):<br>&nbsp;&nbsp;s = repo.get(sid)<br>&nbsp;&nbsp;s.ended_at = <span class="kw">None</span>  <span class="cm"># ← lỗi tính tiền</span><br>&nbsp;&nbsp;<span class="kw">return</span> bill(s)</div></div><div class="c w28 pane ai"><div class="hd2 row">✨ AI SỬA TỆP<span class="pchev">›</span></div><div class="msg u">Sửa lỗi tính dư tiền khi phiên bị ngắt đột ngột.</div><div class="msg a">Lấy mốc heartbeat cuối làm <b>ended_at</b>.</div><div class="diff"><span class="del">- s.ended_at = None</span><br><span class="add">+ s.ended_at = last_heartbeat(sid)</span></div><div class="grow"></div><div class="r tb"><div class="btn">Bỏ</div><div class="btn pri">Áp dụng</div></div></div></div><div class="stat">▸ Terminal — bật khi cần</div></div><div class="dock fab" title="AI Assistant — trợ lý cách dùng app"><span class="spark">✨</span></div></div>
+<details class="ctl"><summary>Kiểm kê control — <b>15</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>self._root</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\folder_tab.py:265</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mở thư mục</td><td class="mut">nút</td><td><code>self._pick_root</code></td><td class="mut">ui\folder_tab.py:267</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>folder.edit') if not self.mode_btn.isChecked() else 'folder.</td><td class="mut">nút</td><td><code>self._toggle_edit_mode</code></td><td class="mut">ui\folder_tab.py:299</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>AI Edit</td><td class="mut">nút</td><td><code>self._toggle_ai_panel</code></td><td class="mut">ui\folder_tab.py:304</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Lưu</td><td class="mut">nút</td><td><code>self._save</code></td><td class="mut">ui\folder_tab.py:309</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mở bằng app ngoài</td><td class="mut">nút</td><td><code>self._open_external</code></td><td class="mut">ui\folder_tab.py:315</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>len(rows</td><td class="mut">bảng</td><td><code>—</code></td><td class="mut">ui\folder_tab.py:534</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mô tả chỉnh sửa… (vd: thêm xử lý lỗi</td><td class="mut">ô nhập</td><td><code>self._ai_send</code></td><td class="mut">ui\folder_tab.py:736</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Gửi</td><td class="mut">nút</td><td><code>self._ai_send</code></td><td class="mut">ui\folder_tab.py:740</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Hủy</td><td class="mut">nút</td><td><code>self._ai_discard</code></td><td class="mut">ui\folder_tab.py:752</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Áp dụng</td><td class="mut">nút</td><td><code>self._ai_apply</code></td><td class="mut">ui\folder_tab.py:755</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>terminal.expand_tooltip') if self._collapsed else 'terminal.</td><td class="mut">nút</td><td><code>self.toggle</code></td><td class="mut">ui\terminal_panel.py:85</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">ô nhập nhiều dòng</td><td><code>—</code></td><td class="mut">ui\terminal_panel.py:105</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Chạy</td><td class="mut">nút</td><td><code>self._run_current</code></td><td class="mut">ui\terminal_panel.py:130</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mở bằng LibreOffice</td><td class="mut">nút</td><td><code>self._open_external</code></td><td class="mut">ui\libreoffice_view.py:97</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li><b>Năm vùng cùng lúc</b>: path · cây · viewer · panel AI · terminal.</li><li>Hàng nút viewer trộn 5 chức năng khác loại.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Path bar gộp vào tiêu đề.</li><li>Panel AI thành lớp phủ phải; terminal xuống đáy dạng thanh mỏng.</li></ul></div>
+</div></div></section><section class="sec" id="workspace-graphrag">
+<div class="hd"><b>8. Workspace ▸ GraphRAG</b><span class="tag">ui/structure_graph_view.py:188</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Đồ thị tri thức về cấu trúc mã/tài liệu + agent hỏi đáp trên đó.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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" alt="Workspace ▸ GraphRAG"></div>
+<p class="rg"><b>Đồ thị</b>: node theo loại, cạnh có nhãn quan hệ · <b>Phải</b>: hỏi đáp dựa trên đồ thị</p>
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Cổng tra cứu tài liệu ISO</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i on">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Cổng tra cứu tài liệu ISO</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="i">Cài đặt</div><div class="acct"><span>👤 local</span><span class="lang">VN ▾</span><span class="thm">🌙</span></div></div><div class="main"><div class="r tb"><div class="ttl">GraphRAG</div><div class="inp grow">…\workspaces\cong-tra-cuu-iso</div><div class="btn pri">Quét</div><div class="btn">Xuất PNG</div></div><div class="r grow"><div class="c grow"><div class="r tb"><div class="tab on">Đồ thị</div><div class="tab">Tin nhắn</div><div class="grow"></div><div class="s">1.902 node · 3.418 cạnh</div></div><div class="b canvas grow"><div class="node ok">ISO 9001</div><div class="arw">→</div><div class="node">Điều 7.5</div><div class="arw">→</div><div class="node">Hồ sơ</div></div></div><div class="c w28 pane"><div class="hd2 row">HỎI ĐÁP TRÊN ĐỒ THỊ<span class="pchev">›</span></div><div class="msg u">Điều khoản nào nói về kiểm soát hồ sơ?</div><div class="msg a">Điều <b>7.5.3</b> — Kiểm soát thông tin dạng văn bản. Có 12 tài liệu trùng số hiệu, xem <b>trung_lap.md</b>.</div><div class="grow"></div><div class="r tb"><div class="inp grow">Đặt câu hỏi…</div><div class="btn pri">Hỏi</div></div></div></div></div><div class="dock fab" title="AI Assistant — trợ lý cách dùng app"><span class="spark">✨</span></div></div>
+<details class="ctl"><summary>Kiểm kê control — <b>10</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>sctx.config.cowork_output_dir(</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\structure_graph_view.py:220</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Browse…</td><td class="mut">nút</td><td><code>self._pick</code></td><td class="mut">ui\structure_graph_view.py:222</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Khóa phạm vi quét vào đúng thư mục sandbox của 1 project — p</td><td class="mut">droplist</td><td><code>self._on_project_changed</code></td><td class="mut">ui\structure_graph_view.py:226</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Scan</td><td class="mut">nút</td><td><code>self._scan</code></td><td class="mut">ui\structure_graph_view.py:228</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xem mọi message hội thoại nhóm theo ngày (dạng JSON).</td><td class="mut">nút</td><td><code>self._toggle_messages</code></td><td class="mut">ui\structure_graph_view.py:242</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xuất PNG</td><td class="mut">nút</td><td><code>self._export</code></td><td class="mut">ui\structure_graph_view.py:248</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">cây</td><td><code>self._show_msg_json</code></td><td class="mut">ui\structure_graph_view.py:268</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thu gọn bảng Agent</td><td class="mut">nút</td><td><code>lambda: self._set_agent_collapsed(True)</code></td><td class="mut">ui\structure_graph_view.py:288</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>vd. cái gì gọi hàm main? file nào định nghĩa class?</td><td class="mut">ô nhập</td><td><code>self._ask</code></td><td class="mut">ui\structure_graph_view.py:299</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Hỏi</td><td class="mut">nút</td><td><code>self._ask</code></td><td class="mut">ui\structure_graph_view.py:301</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Hai hàng toolbar riêng biệt — nên là một.</li><li>Nút <b>Messages/Graph</b> đổi hẳn nội dung pane nhưng trông như nút thường.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Gộp hai hàng toolbar thành một.</li><li>Messages/Graph thành cặp tab rõ ràng phía trên pane trái.</li></ul></div>
+</div></div></section><section class="sec" id="monitoring-tổng-quan">
+<div class="hd"><b>9. Monitoring ▸ Tổng quan</b><span class="tag">ui/monitoring_tab.py:132</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Chi phí, tài nguyên máy, sandbox, nhật ký gần đây.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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" 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HkXRY2m83j8ahlGxsbGo0mEAg6d+5crfp/+vQJ47EANB42NjZz5szx9/dftmwZNeUCxcTEhFowMDDg8/nUbK0ODg40Gq24uLhnz56Vi4qIiCgtLfXw8JBeaWhouGbNmkOHDo0fP/7Ro0dWVlZGRkZyUzZO9dqApampqampmZ+fX1WC8vLyjx8/yrz+LfHp0yfpEfIlEhMTBQLBzJkzWSyWmZmZt7f3lStXCCFOTk5Uo1V8fLy7u3tSUpJYLH7x4oWjo2NVWShjxozR1dWVfHz48GFkZORvv/0mvRIAAAAAAIAQoqurO2PGjMLCwvT09JSUlKioqH79+i1evHjy5MkKcuno6BQUFEg+yryHyOfzqQUOh9O6dWsajWZgYJCbm0t9caXSS9qeUlJSxGJxWVlZWlqa8tVOSUnJzs62t7dXPgsA1LVRo0YdP368W7du69evl6wsLCykFj58+NC2bVuqIfvVq1disbi0tDQxMbFyOadOnbp169bgwYMHDx58+fLloKCgXbt2EUKcnZ2PHj0aGxu7ePHivLw8a2vrqlI2QvXdA6tbt25UT1e5oqOj27Zt26lTJ7lbmUymzG2dwuFwzM3NJb9FmJqafv78mRBiZmamrq6emZn56NGjfv36tW/fPjU19fnz546OjlVlobRt21a6/P3793///feS30Cg3gQFBR0/fryhawEAAKAI/loBtFjv37+PjY0tLCwsLy9//fq1UCjU19fncrksFosaNUVmWCsZnTp1ys/Pv3HjhkAgeP36NfXuiMTZs2d5PB6Xyz1z5kzfvn0JIdTbPWfPni0qKsrLy4uMjBwwYAAhpLy8PCwszNPTc9y4cSdOnPjqJGJUZ67bt2/v27dv4sSJ1BjzANB40Gg0a2vr0tJSyZrDhw/n5+dzOJy9e/eOGDGCECIUCoOCgry9vX/66adt27ZVVFTIFHLmzJlr/zVs2LClS5cuXLiQ2iQWi9PT0wMCAsaOHaupqakgZWNT37MQqqmppaamVl4vEomuXbt29+7dNWvWVDVsWPfu3fPy8p49e9ajRw/p9Ww2OzMzUywWUw1SWVlZkr64vXv3fvr06YcPH6ysrHr16pWQkJCUlLR8+fKkpKSqslCVlC5/5cqVgYGBNjY2Xbt2rd3RQ/XMnz+fGvwSAACg0cJfK4AWi81mX7t2bcOGDRUVFWZmZvPmzTMwMOjevXt8fPy6detMTEx69er19u3bqrJramrOnz8/PDw8Ojra3t5+wIAB0gPfdOnSZdOmTWKx2NHRcfjw4YQQNTW1RYsWnTx50t/fn8lk9uvXb9CgQYSQ2NhYMzMz6i0W6ivo0KFDq9ppcHAwjUZjMplWVlbz5s2r6t0XAGgQT5482bhxY0lJSfv27VesWCFZ7+TkNHfuXJFINHjwYGq89uPHj3fs2JHqQRkZGRkZGTlhwgRldrFkyZI3b96wWCx3d/cpU6bU0YHUEZpAIKi3nQmFwjVr1nz77bf5+fnUdIQdOnTQ0NCgPhYWFs6aNUvxa9vh4eGnT5/29vZ2cnISi8V37tzR09Pr37//7Nmzv/32Wy8vLz6fHxgYOGDAAC8vL0LI/fv3Dx061LlzZ2qejq1btxoYGAQGBpaXl1eVxc3NLSwsTPKCOvUxKSlpy5Yt27dv79ChQ92fp2qg/siZmpqqvOSsrKxadjrjcrk1K6G8vDwoKMjAwKBNmzZcLnfu3Lm1qYYyfH19N2zYoKenV9c7algKIlLjYEFdQKSakAYMVgu5calKXUSqrv9aVQ6xSCTatGnTwoULlRywRu5/kgcPHiQnJ8udabuRqP/L6vr165mZmY35nLQ0tQ80l8tV5vG49o+7AAAgl5L34eqq1x5YN2/e/PLly8WLF3v27Nm/f//S0tIbN25UVFTo6en17dvXxcVF8fjuhJBJkyax2ewzZ85s376dxWK5uLjMnj2bwWAEBgbu3LlzypQpLBZr5MiRkuHHevTokZ6ePn36dEKIpaVlbm4uNa2sgixy9e3bd8qUKT///POff/7JZrNVdD5atODg4KSkJOk1rq6uVFtybGzsyJEjP378aGRkVPuR5K5cuaKlpUX1r4Ya27Rpk4eHR3WHBZULEalrL168uHz5cnp6Oo1Ga9++/ZgxYxT/uFrjiCCUtZeenn7hwoXk5GSRSGRjYzN58mQ0SDU29fbXShl0Ot3f3782JeTl5T1+/Hj+/PmqqlJjs2nTJmrIW319/aFDh1KdU+oOboMAANB4DB48WPrj0qVLR40a1VCVqSP12oDVvn17d3d3V1dXmSk2qmXIkCGVJyI0MTGR23tfS0vr4sWL1DKNRouMjPxqlvPnz8v96Onp6enpWeNqgwwfHx9CCJfLDQgI2LFjh/Qmd3d3Qki3bt1UsiMOhyN37H9oKIhInbp79250dLSnp6e9vb1IJHr27NmuXbvmzJlja2tbVZYaRwShrKXExMSDBw8OGzbM09NTS0vr+fPnycnJvXr1auh6wf+ot79W9cPQ0HDRokUNXYu65ePjY2Njk5aW9ueff1pbW5ubm9fdvnAbBACAxuPatWsNXYU6V68NWDY2NjY2NvW5R2hyCgoKTp8+/fbtWwaD4ejoOHbsWAaDQQjx9fWdMWNGdHQ0j8dzcXGhGhOzs7OPHTuWnp5ubm7eqVOnoqIimf7/kl/OIyIigoKCysrK5BYucfLkyezs7MWLF3/58uX48eOpqalGRkZTpkyhHn/l1qGlkXsSfH1958yZEx0dnZeX980330ybNk1HR6eoqGjNmjWS73vBwcGurq63bt2SjgiTyWzIg2l2BAJBVFTUrFmzJNMJubq6isXi06dP//LLL8pEZPXq1Qhl/SgvLz969OiECROcnJyoNS4uLtTC/fv3L126lJ+fb2lpOWvWLGps3aKiooiIiNevX4tEoklCnF5aAAAgAElEQVSTJlHtXKmpqTExMYWFhY6OjpMmTSKE5OfnV753QV1Q7V8ronSI5b4VKPcmTG1SsoRmhk6nW1lZsdlsHo8n9w7m4ODA5XLDwsLS0tJMTU2lu6lWFazKF5fMMwZugwAAAHWtvmchBFBAJBLt2rXL2Nh4/fr11LBlsbGxkq0PHz708/NbsmRJXFxcamqqWCw+cOCAnZ3d77//7uXl9fDhw8oF+vj4uLi4eHl57dmzR0tLS0HhhJAbN26kpKTMnz9fTU1t9+7dHTt23Lx586BBgw4cOCCZzEWmDnV6NhotuSfh1q1bc+fODQgIEIvFZ86cqSqvdETwrK9y796909bWlpkM29nZmcPh5Ofny81SOSIIZf149+6dWCyWtF5Jy8jImDVrFtVHWPJL2p49e9TV1f39/X18fIRCIbXywYMHS5Ys8fPzi4+PT05OFovFVd27QLVU/teKKBdiBVWq6spVvoTmpLy8/OnTp9SbuXITUBdLp06dAgMDPT09JfPEVRUsuRcXboMAAAD1DA1Y0IikpaWVlZW5u7vr6Oiw2WwPD48HDx5Ito4YMUJPT8/c3NzW1jYjIyMtLU0oFLq5uTGZzI4dO/bv3782hf/zzz/Xrl1btGiRtrZ2amoqVbKWlpaTkxONRuNwOHLrUBcnofGTexJGjhzJZrN1dXXHjx//8uXLhq1hi8Xj8SoP7aylpaWtrV1UVKRkIQhl/fj8+bP07LfSvLy8LCwsmEymk5NTTk4OIeT9+/f5+fmTJk1isVjm5ubOzs5USupibNeunZ2dXVZWloJ7F6iWyv9aKRliBVWq6spVvoRmIzg4ePHixYcPH3Z2dpaZV1oiLS2tvLzczc1NW1vb0tJSEpSqgoWLCwAAoDGo11cIARTjcrlGRkY0Go36SHX+l2yVTA2po6NTWlqal5fXtm1bSWIdHZ2CgoIaFx4dHT1ixIhWrVpRKXNycry9vSVbCwsLqTkUZOpQu8NtquSeBMkkPiwWq6SkRCwWN0zlWjZtbe3KPa0EAkFJSQn1f1sZCGX90NbWruqW9eTJk/j4eA6Hw+VyqZkTcnNzTU1N6XTZ35wk7ZVMJrOsrEzBvQtUS+V/rZQMsYIqVb5yqT0qX0KzQY2BlZeXd/z48ZKSEpkRbSl5eXnSLciSoFQVLFxcAAAAjQEasKARMTAwyM3NlTx25+XlKZgpXOY7QF5eXm0Knz59+uHDhy0sLDp16tSqVasOHTqsXLmytsfTkvD5fGpEFQ6H07p1axqNpqGhUVZWJhQK1dXVCSGKmxdBJWxsbHg8XmJiovSQ7ffv32/fvj2LxRIKhcpEBKGsH9bW1gUFBUlJSTKTe6akpERFRU2cONHU1PTt27dPnz4lhLBYrNzc3K+WiXtXvVH5XyslQ6xA5Su3NqU1dXQ63cjIyMXFJS4ubuTIkZXvYFUFpar1uLgAAAAaA7xCCI2IpaUlIeTs2bNFRUV5eXmRkZEKpqa2tLTMz8+/ceNGaWlpYmLis2fP5CZjMpkZGRlisVhx4ebm5j/++OPevXuzsrIsLS0LCgpu377dYvtY1cDZs2d5PB6Xyz1z5kzfvn0JIerq6kZGRlevXi0tLb19+/bnz5+plJKINGh9mycdHR13d/eDBw/Gx8cXFRUVFBRcv379/PnzXl5eROmIIJT1Q1dXd/To0QcOHHjw4MGXL194PN7t27efPHnC5XJZLJaFhQUhRDIuT6dOnUQiUUxMTFFR0fv376saRAn3rnqj8r9WSoZYgcpXbksmFou5XO69e/esrKzk3sE6depEBUUgELx+/VoSlKqCVdXFhdsgAABAfUIPLGhE1NTUFi1adPLkSX9/fyaT2a9fv0GDBlWVWFtbe/78+eHh4dHR0fb29i4uLiUlJZWT9e3bd/fu3cuXL9+4caPiwrt16zZy5Mg///xzxYoVCxYsCA8Pj4yMVFdXd3BwmDp1quqPtnnp0qXL5s2bRSKRo6Pj8OHDqZVTpkw5duzYpUuXBgwYQH3fI/8bES0trYarcvM0dOjQVq1aXb16NTQ0lMFgWFlZLVq0qEOHDtTWr0aEIJT1aPjw4QYGBteuXTtx4gSTyezWrdu4cePU1NTi4+PXrVtnYmLSq1evt2/fEkIYDMbChQtPnTq1du3aVq1aTZkyRW6B6urquHfVD5X/tVIyxArIvXJbpuDgYEIIi8VydHQcNWoUkXcH09TUlA7KgAEDuFwuqTpYVV1cuA0CALQcYiLmi74UVxSLSHOeJIdO6Ew1pi6dRSONsTc3TSAQNHQdoOao5626GIUhKytLMqBGzXC53FqWUC3UC4Byh7oAioKI1DJYLWFS9vpUd5H6KoSyuhowWFAtjSdSdfHXqplduc07WKCM2geay+Uq83hc+8ddAGg5voh4/Ap+Q9einuiq6bLotXquUPI+XF14hRCaPIFA8PDhw5cvXzo6OjZ0XQAAAOTDX6smBMECAAAZxRXFDV2F+tNoDxavEEITtm3bto8fP9JoNDMzs4ULFzabH58BAKA5wV+rJgTBAgAAuZr3m4MyGu3BogELmjA/P7+GrgIQQsiOHTsaugqgGgglQF2o679WuHJVCI8WAAAAjRZeIQQAAAAAAAAAgEYNDVgAAAAAAABNjK+vL4/Hk7vpxIkTd+/epZZFIlFAQMDnz5/rsWoALdQPWz2/Dxzr+dv4GcHTAs9sepOZVKe74/K43weO/efjyzrdS6OCVwgBAAAAAACqLTg4OCnpf76gurq6Tpw4se72eOXKFS0trQEDBihI8+LFC3V19f79+1Mf6XS6v79/3VUJAKR939ej7zf9PvE+XXh8bk3YKv8Jv3Tv6NDQlWo+0IAFAAAAAABQbT4+PoQQLpcbEBBQP6PRcTgcMzMzxWm6devWrVu3eqgMAFTWhtXGysTKysSqj3Ufv0M+YbeOoQFLhdCABQAAAAAAoBq+vr4TJ06MjIwcPXq0q6vr/fv3L126lJ+fb2lpOWvWLBaLRaWZMWNGdHQ0j8dzcXHx9PQkhGRnZx87diw9Pd3c3LxTp05FRUXTpk2TLlnS4SsiIiIoKIgQkpqaGhMTU1hY6OjoOGnSJEJIVbvbsGEDZtUEqE90Or2/7YDwOyfKhGUa6hp//LXl5YeXwvKy7h17+I1dyivmzdk1a+p3P157fqWwuHCM09gJ/ScSQu6+vnP8VlhxadFoR/fw2yf8xi7rb/f/PS6Ts94euX74fU6aSWuTtRN+oVa+zXy758KugqLC0Y7uk76dTAiR2de6E2t1tXXWeK0jhMQ8+OvC0wt7vUNoNFpDnJXawhhYAAAAAAAAKpOYmLhhwwZXV1dCSEZGxqxZswIDAwkh165dk6R5+PChn5/fkiVL4uLiUlNTxWLxgQMH7Ozsfv/9dy8vr4cPH1Yu1sfHx8XFxcvLa8+ePUwmkxDy4MGDJUuW+Pn5xcfHJycnK9gdANS1WTunC8uF+y+HfB849m3WG0JIKx19sVhcIiwhhAzsOvDf83dvnx38z4cXcYn/GaLuVfo//hN/Hdlz1Om7p/L5nzkFnB1nt7l07rd15jZhuVCm/Hz+5/UnfzHSY/8xa7ttuy75/P8MbJeQ+mztD78M6zHsTNzpAn5+5X0N7THsedrzotIiQsjdpLuDuw1uoq1XpEEasN6+ffv27VuZlXw+//Lly5cvX+bz+fVfJQAAAAAAAJVwdXXV1tamlr28vCwsLJhMppOTU05OjiTNiBEj9PT0zM3NbW1tMzIy0tLShEKhm5sbk8ns2LGjZAQrxahC2rVrZ2dnl5WVpWB3AFDX1v3wK0ONMa7P+K0zgizY7QkhuYU5GuoauloskUiUwc38/UzgLyf8S4QluV/yqCxuvUYb6xsP7DZYJBZ9Kvz0PO0ZQ40x2XWqUSsjqkOWtCcpT4QVwgWjFpsYmEx2naKt8Z+bjLvTGBMDk4FdB4vF4jxeXuV99e88QJOhGf/2EaeAk8ZJHdR1cH2eFtVqgFcInz9/TgixsbGRrOHz+Zs3bzY0NCSE3Lx5c/Xq1bq6uvVfMQAAAAAAgFpq3bq1ZPnJkyfx8fEcDofL5Xbu3Fmy3sDAgFrQ0dEpLS3Ny8tr27atpFuEjo5OQUGB8jtiMpllZWUKdgcAda1D2440Go3dim1l0okQIhAKbry84dipjxqdfiXh8tn4mHU//NrO0HzRvgVELKayaKhrEEIYagxCiFgsFpSVqtHU6DQaIaRcVC5TvqBMQKfR1ehqhBBtDW1tDW0uj0sI0dbUJoRoMNQJISIiuvbiqsy+NNQ1vrV3jUu6l/eF261jd8NW7Ho7JyrXKF4hjIuLMzQ09PPz8/PzMzQ0jIuLa+gaAQAAAAAA1ASd/p8vWSkpKVFRUf369Vu8ePHkyZMVZJFpscrLy6vBfpXfHQDUkXz+57Sc1HuJd34+uoIQMmPQDEII9wtXXU1DW0P74ZsHnwqq7Bppa25bUlYSef/Mp8JPJ26FyWx1sHQoF5UfvLo/p4Bz9fmVj3npcguRu6/hPUY8f59w59WtId2HquQwG0qjaMACAAAAAABoZrhcLovFsrCwIIQ8evRIQUpLS8v8/PwbN26UlpYmJiY+e/ZMbjImk5mRkSH+b/eNGu8OAOrImbgzy48sPXrjaBdzu60zt7XRMySEDO42mKnJXLx/YUJaglmbdlXltTH95seB08/F/73yyDKzNmZEqjWcENKujfnK71e9+vjK58DiS88usrR05BYid18W7PYdjSwLigqcrPuo8mjrXaOYhdDFxeXmzZubNm0ihBQVFbm4uChI/O7du9DQ0JcvX1ZUVDg4OPj6+kr30ZWLz+dPmzZtzpw5o0aNIoTMnTs3JSWF2mRlZRUSEqKi4wAAAAAAAPiP7t27x8fHr1u3zsTEpFevXpUHApbQ1taeP39+eHh4dHS0vb29i4tLSUlJ5WR9+/bdvXv38uXLN27cWJvdAUBdOLX8jNz17FZGQbO2y6yMWhVDLRi1MpIsj3P+fpzz94QQqoOVoZ6hdJbenRx7d3KUW4ixgYlkufK+CCF0Gs3V/jvqdcWmiyYQCOp5lxEREYQQLy8v6ZV8Pj84OFhHR2f27NkKBsB6/Pjxxo0bJ06c+N133zGZzLi4OG1tbWqCDwX2799/7ty5efPmSRqw5s+f37NnT1UcTQPjcrmEEFNTU5WXnJWV1aZNm9qUwOVya1kCqJaCiCBYjQoi1YQgWE2FqiIVHR0dHh5+6tQp1VUNZOGygtoHmsvlKvN4XPvH3bpz+PBhCwuLwYOb8FjLAM1MtjCrrnchEol2xf45ts/35eXCw9cO5hXm7py7S52hXoOirj6/8uTd45UeqwghAqHgzqtbB67s/3PubqNWRkqWYKJeq0YGJe/D1dVYmt90dXVLS0uHDBmioPVKKBRu2bJl0aJFQ4YModaMGDGCWsjLy9u1a1dCQoK6uvqgQYN++ukndfX/hDk5Ofnly5fOzs51fQgAAAAAAAAyCgsL9+zZ8/PPPyuTWCAQPH/+/OXLlx4eHnVdMQBQHp3QRURUt/ugkcKiwlVHV6jR6Z1MrVdN8K9Z6xWF/t9JIYL/3vE2643vmKXKt17RG+tgU42lASslJYXP59vb2ytI8/LlS7FYLGm9khCJRKtXr3Z2dvbz8+PxeIGBgWFhYTNnziSECASCoKCgFStWUN2+oLHJyso6c+bM48ePc3Nz6XR6x44dx44dO3ToVwaWKykpuXDhwvHjx11cXJYtWya96fr162fPnn337l1FRYWlpeW4ceOk/8Pk5+d7enpSy/369duwYYPc8l+9evWvf/2LWl6wYAGeHiQUnPnK8vPzT58+HRcX9+nTJw0NDSMjo3nz5vXu3ZvaunfvXrlXZUxMDNWKjWDV2FfPbWXz589PTk7W0tI6f/58LYsihKSlpYWFhSUkJBQVFZmYmAwdOnTChAkMxn/+3EgiO2/evAkTJkhy3bhxg3obwsXFZcOGDZJpmFqCqi6W58+f+/n5Kch47ty5t2/ffjWNZCp3ijLFamtrI1Iy0tPTw8PD79+/z+PxRo0aZWho2KNHD19fX+kz8NWbpJInX8nSAKCpaNWqlTKtV9u2bfv48SONRjMzM1u4cKGenl491A0AlMRUY/Ir+HW6CzqNvnbCOpUUNaT7UMl47Ss9lGo9l8ZUY6qkGipX3w1YfD7/48eP1ILk+09paemxY8cmTJigoyN/HDLKp0+fzMzMKq9PTEwUCAQzZ86k0WgsFsvb23vTpk1UA1ZwcPDQoUMtLS1lsixfvpxa8PLymj9/fu2PC2rgxYsXK1asEAqFkjWJiYmJiYmpqanz5s2rnL6iouLRo0d37969fft2cXFx5QRbt269ePGiTGnv3r2TG+IHDx4UFBTo6+tX3nThwoWaHE/z9dUzX9nz589/+eWXL1++UB/Lysr4fP6HDx8kDViSTcpAsKqlWueWEHLv3r3k5GSVFEUISUhIWLVqFTWTNyHk48ePBw8efPXqVUBAgPQglDKysrK2b99OCDEzM1u5cmXLaRMhSlwsVTE0NNTU1Kx9mmplabGRevjwYUBAgGQ8mtLS0szMzMzMzH/9619qamo1uEnKRZ18VZUGAE2O4gZuAGhYunQWIaS4orjO+2E1KDqhM9WY1ME2QvXagMXn8zdv3ky1Um3evHn16tW6uropKSnHjh3r2LFjnz5fGQ+fyWTKnVCWw+GYm5tLHqNNTU0/f/5MCImIiCgtLZXbI2Pr1q3NYwysJu3Tp0+EEC8vryFDhhgaGiYlJe3cuTMnJ+fMmTOjR4+u3FiZm5u7du1aQoiWlpa6urp0yxch5OLFi1Tr1ZAhQ6ZOnVpRUXHs2LGbN29GRET07du3e/fu0ok1NTVLS0uvXLkiMxYbIaSkpOTmzZtUb5Hy8nJVH3STpPjMV/bx48fVq1cLBAJra+uffvrJzs6uuLj49evX0i3U1Nf1cePGyYSAyZRt7Eewqkv5c0sIKSsr27dvn0qKIoQIBIKNGzeWlZXZ2tquXr3awMDg8OHDkZGRDx48uHLlyvDhw+XmEgqFAQEBRUVFWlpaGzZsUNC3q/lRfLHY2toeP35cJktmZuaKFSsIIZMnT6bT6cqkkdlagyyUFhsp6umlpKRk6NChxsbGsbGx+/bte/fu3enTp6lnD+VvksqcfA6HU61bLgAAANQDGqGx6HosOrpGNqR6bcCKi4szNDSkflvYtGlTcHBwaWkpn8//4YcfnJycvvpDbvfu3fPy8p49e9ajRw/p9Ww2OzMzUywWUyVkZWUZGRkRQk6dOpWfny8Z+/Dy5ctpaWkLFy6sk2OD6mvTps2ff/5pbW1NfXR2dqbRaKtXrxaJRAkJCZUbsGg0mqWlZf/+/ceOHTtv3jyZ1syoqChCyDfffPPzzz9T/xPWrFmTlpb24cOHyMhImQasjh07JiUlXbp0qXKbyPXr1wUCQZcuXV6/fq3a4226FJ/5yoKDgwUCgZWV1Y4dO7S0tAghOjo6MpMtUC0jRkZGxsbGiktDsKpL+XNLCDly5EhmZqaenh6Px6tlUYSQixcv5ufn02i0VatWUaM2zp8//9GjR+np6WfPnq2qASskJISaJmn58uUdOnRQZkfNhuKLRUNDo/KZDw0NJYQYGhpS05Iok0ZGDbJQWmykHj16RHUbX7p0KfWarb6+fu/evSW95JS/SSpz8qt7ywUAAABoIRpyDCwdHZ0hQ4bY29srfnNQolWrVtOnT9+wYYO3t7eTk5NYLL5z546enl7//v0JIYcPH/by8uLz+fv27XN3dyeEnDnz/3NY/v777127dlXwXA71T6YhkhBiY2NDLch9aaJt27b79++XW1R5eXlqair5bysYtZJOp7u6uoaGhj59+lQkEkn3Kejbt29SUlJaWlpSUlLnzp2li6JeSXN2dn716lUND6zZUXDmK0tNTU1ISCCEeHt7U1/I5eLz+YQQZXpwIFjVpfy5TUpKioiIMDQ0HDFiRFhYWG2Koty9e5cQYmtrK2mApi7DsLCwpKSkL1++sFiyvZHv3btHtT5PmDDhu+++U3JHzYOSF4u0nJyca9euEUImT54smaukBmlqkKUlR4pqyWUymVWdnGrdJGVUPvm1KQ0AAACgGavXseVdXFzy8vK2bdu2bdu2oqKi2bNn9+nTR8nWK8qkSZMWLlwYFRU1adKkefPmpaam9u7dm8FgBAYGJicnT5kyZdmyZU5OTl8dyHn58uWD/6uioqJ2hwUqw+FwqIW2bdtWK2NZWZlYLCaEUP9KUFMjl5SUZGdnS6/v0qWLhYUFIeTSpUvS69+/f5+UlKShoTFgwIDqVx8I+W8Thr6+fuUGSmnUF0JlWkYQrOpS8twKBILff/9dJBLNnz+/qtYT5cNEeffuHSHkm2++kV5pZWVFCBGLxenp6TLpP336tHXrVkKIg4PDnDlzlNxLs6HkxSLt5MmT5eXlenp6kkl4a5amullaeKTatWtHCPn06VN8fLzKC69BvAAAAABapnrtgaWrq7t69eq4uDhCiIuLS82GzxgyZEjliQhNTEwCAwMV5Fq5cqVkOSQkpAb7hXpA/byvqakp88bfVzGZTOodqCdPnkyfPl2y/vnz59SCzFjUYrF45MiR+/btu379ure3t4aGBrWe6tEzYMCAljO2i8q9efOGEGJpaZmcnHzw4MHXr19XVFRYWVlNmjSpb9++kmRURAIDAzdu3MhkMjt16jR69OiBAwdWLhDBqi4lz+327ds/fvzYv3//gQMHhoeH16YoSWIqPZvNll4v+SjzJlRFRUVAQMCXL1/YbPa6desUDPHeXCl5sUjw+fzLly8TQkaNGlXVOOvKpKluFkSqR48eHTt2TEtL8/f3pxpkVaUG8QIAAABoser7MVRXV3fYsGHDhg3Dd06QERkZef36dULI+PHjW7VqVd3s1JfqV69ebdu2LT09/dOnT0ePHqUKJIRU7mc3bNgwBoPB5/OpThCEEKFQeOXKFULIyJEja3MgLVxOTg4hhMvl+vr6xsfHFxUVCQSCV69erV27VjJHZHl5uUAgIIQIhUKRSMTn8xMSEjZu3Lhr1y65ZSJYylPy3MbGxl69erV169YKJjyqbpgkb/5qa2tLr5d8LS8tLZVeHxMTQw1etmLFihpc8s2AMheLtMuXLwsEAjqdPnbs2KrKVCZNdbMgUnQ6fePGjVZWVkKhMCkpqbCwMCwsjLo6aqkG8QIAAABosVrc76jQCInF4kOHDu3evZsQ0qtXr1mzZtWgkBkzZlBveZw/f37GjBmTJk0KDQ2VvMpU+U1VfX19qo+D5MW0e/fu8Xg8Y2NjBweHGh8LUKMmffjwoWPHjnv27Dl79uzmzZsNDAwIIXv27KEmoafT6SdOnIiJiTl79uzhw4cXLlxIfSuOiop69uxZ5TIRLOUpc27/+eef4OBgOp2+Zs0aBe0R1Q2TZCJINTU1mXKoBZmZOjp06ECtiY6Olnn5t4VQ5mKRdu7cOUJI3759qYlK5FImTXWzIFKEEGNj4927d8+bN09PT08oFB4+fHjWrFm1H32vBvECAAAAaLEachB3AEJIWVnZli1bbty4QQhxdnZet26dzLdfJenp6f3555/Hjh27c+dOQUGBiYmJu7u7vr7+pk2bCCGtW7eunGXkyJF37tx5+vRpbm4um82mXkkbPnz4VyfEBAWo8GlqagYEBFBfxfv06TN79uytW7fy+fznz587OzvT6XTJMGcWFhYWFha2traLFi0ihNy4cUPueEAIlpK+em45HM66deuEQuHs2bMVN/9VN0ySgbRkeqZIPsr0zOrZs2eHDh0iIiLu3bt34sSJKVOm1OyQmy5lLhZJ4sTExA8fPpD/9jaVS5k0NciCSFEYDMaECRM0NDRCQkI0NTVzcnKWL1++c+fOTp061azAGsQLFJNMPF1j1ID6AAAA0DihAQsakkAgWLVq1YsXLwghHh4e8+fPr83oKnp6egsXLly4cKFkDTU3uZGRkZ6eXuX0jo6ObDY7Nzf30qVLw4YNe/bsGZ1OxzC6taSnp8fhcMzNzakv5JSuXbtSC58+fZKby9bW1tjYmMPhZGVlyU2AYNWYzLm9d+9eYWEhIeTAgQMHDhyQTikQCKivf8HBwfb29l8tSkarVq3U1NQqKio+f/4svZ7L5VILJiYmMllmz579zz//JCYmHjlyxNbWtmfPnjU/ziaoWhfLrVu3CCEaGhrSrVoylElTsywtPFIyWCzW7t27fXx8srOzDxw48Ntvv9WsnBrECxQzNzdv6CoAAABAHUIDFjSkzZs3v3jxQk1Nzc/Pry4aI6ghk3r37i13K51OHz58eFhY2JUrV+h0ukgk6tWrF97jqKWOHTu+ffuWaiKRkIxBVtVsd+S/L6BVNYwxglUbis+tqopiMBgWFhZpaWnJycnS61NSUgghWlpalb9bMhiMtWvXzp07t6ioKCAgYN++fS0qptW6WO7cuUMIcXR0lOnIVt00NcvSwiNVWZs2baZOnbp161ZqdLCaqUG8QLEjR440dBUAAACgDmEMLGgwN2/evHfvHiFk6dKlddF6dfHiReqbs5ubW1VpRo4cSaPRMjIyqAkQMSJ47fXp04cQkpubKz06zOPHj6mFzp07E0JEIpFMrmfPnlFT1NnY2FRVMoKljK+eW3d3978qmTZtGiFES0uL+mhra6tMUZU5OTkRQp4/fy7phCUSiW7evEkI6dOnj7q6euUsxsbG1EDyPB5v/fr1QqGwpofe9ChzsVCSk5M5HI4ki1zKpKlNlpYcKbmoC6Rm77yTGsULAFoCX19fHo8n+cjlcn/77TfJNCkAAC0cGrCgwVCD15qYmNjb22f+L8m337Nnz7q7u69bt67yd2kZqamphw4dSk5OLioqys7OPnr06Pbt2wkhI0aMkP4eKEMyCnh+fr6enl7//v1VdngthkyM+vXrR3W02bBhw4sXL/Lz8xx3V1YAACAASURBVK9fv3706FFCSM+ePS0sLAghcXFxW7duTUpKEggEHA4nJiZmw4YNhBAtLa1Ro0ZVtSMESxlfPbcaGhp6lUh6VFEfqe/kyoRJJvpjxoxRV1cvLy/ftGlTbm5uSUnJ3r17P3z4QKPRJk2aVFWdv/vuO6rApKSknTt31u0JakyUuVgokhYuqm1RLsVp5N5LlSlWWouN1JMnT4KCgp48ecLj8cRisVgsfvz4MRWpAQMGfDW7Sk4+ADROwcHB3v/r5MmTqipcJBKdPHly5syZTCZTVWUCQGMWExMzffp0Nzc3Pz+/zMxMaiWfz79z58769euDg4MrZ5G79ciRI4P/a9myZTJZMjMzfX19R4wYIZmR5tKlS4P/FzXheyOEVwihwbx//54Qkp2d/eOPP8pscnR0pEYViYqKKi4uvnfv3sePHzt06KCgtNLS0uPHjx8/flx6pZOTk4+Pj+JqjBo1ippSbdCgQXJ7iIBiMjFiMBhr1qxZtmxZXl7ekiVLJMnatm27YsUKarmiouLixYsXL16ULkdTU3P16tVsNlvBvhCsr6rxua1ZUTLRNzY2Xrhw4Y4dOxISEiZOnCjJNXfuXGtrawX7WrRo0atXrz58+HDhwgU7O7sW0r1OmYuFkpiYSAjR0tJScBtUnEbuvVSZYmW0zEgJhcILFy5Qc0dQVq5cSQixtbWdO3fuV7Or6uQDQCNEPWdyudyAgIAdO3aotnA6nS49tCsANHupqamBgYEGBgahoaFBQUHbtm0jhERGRhYUFFhYWBQUFFTOIndrYWHhypUrhw0bVjm9WCxev359v379AgICLl++/Msvv4SHhw8fPnz48OFUAmqamm+//bZuDrG20AMLGkzlSeIrGzdunLa2trOz81dHZm3btu2gQYPYbLaamhqLxXJwcFi1atXmzZs1NDQUZxwwYAA1xDtGBK+ZyjGytrYOCQkZPny4gYGBurq6sbGxl5fX3r17Ja0e1tbWAwYMaNOmjZqamrq6uqmp6ejRo0NCQvr166d4XwjWV9X43NasqMrRd3d337x5c9euXbW0tHR0dLp377558+YJEyYo3pempqa/vz/VEWznzp1v376tbm2bqK9eLJSkpCQqsYJpLhSnkXsvVaZYGS0zUl26dJkzZ46trW3r1q3V1NTodHrPnj19fHx27typq6v71eyqOvkA0ITcv3//119/9fHxCQ4O/vLlC7WyoKAgJCRk2bJlP//8c2RkJDWspFxFRUW+vr6Sj8HBwQkJCdT6I0eOrFixYtmyZU+ePKnrowCAerZkyRJTU1NtbW13d3dqqmJCyPTp0318fKQnJeNwOBMnTiwrK5O7lRDC4/Gk5wiSzvLu3buCgoIff/yRxWJ5eHhoamq+fPlSOuWhQ4cmT56sksFz6wJNZr5zaFqo6b1MTU1VXnJWVlabNm1qUwKXy61lCaBaCiKCYDUqiFQTgmA1FaqKVHR0dHh4+KlTp1RXNZCFywpqH2gul6vM43HtH3clu5PpgRUREdGnTx9DQ8P9+/e3b99+3LhxIpEoMDCwa9eugwcPLi4uPnz4sK2trbu7u0xRvr6+GzZsUFNTW7NmjaTA4OBgV1dXBweHP/74w8TEZMyYMQUFBZmZmZjDFKC5unr16tWrV6VnOo6MjPz48SPVZ5/D4fj6+h47dkzySor0VkLIsmXLnj9/rqOj061btwULFlDTiFNZrl+/fvfu3YCAACrl+vXre/ToMWbMGOpjenr6zz//HBoaWuNRPiWUvA9XF373AwAAAAAAUBkvLy8LCwsmk+nk5JSTk0MISUtLKysrc3d319HRYbPZHh4eDx48qFaZ79+/z8/PnzRpEovFMjc3R+sVQHP16tWr0NBQb2/vqhIYGxufPHlSwYAqmzdvvnz58v79+5lM5q+//iqdhc/n6+joSFIymczS0lLJx4iIiHHjxtW+9aruYAwsAAAAAKWMGzdu3LhxDV0LAGjsnjx5Eh8fz+FwuFwuNZsQl8s1MjKi0WhUAjabLT3boDJyc3NNTU3x3jFA8xYVFXXz5s0tW7YYGxvXuBBqFB02m+3n5+fu7l5QUKCvr09tYrFY0i/hFRcXS142LC4uvnPnDjVNTaOFBiwAAAAAAADVSElJiYqKmjhxoqmp6du3b58+fUoIMTAwyM3NFYvFVBtWXl5e69atqypBQ0OjrKxMKBRSPSyosZlZLFZubm59HQQANIBDhw4VFhZu375dVX2gKioqxGKx9IBWZmZmKSkpko8pKSmTJ0+mluPi4uzs7GSG02ps0IQPAAAAAACgGlwul8ViWVhYEEIePXpErbS0tCSEnD17tqioKC8vLzIycsCAAVWVoK6ubmRkdPXq1dLS0tu3b3/+/JkQ0qlTJ5FIFBMTU1RU9P79+4cPH9bL0QBAPeFwONeuXfPx8flq6xWHw5k0aRI1iLtcwcHBubm5+fn5O3bscHR01NbWlmSxs7Oj0WgRERF8Pj8yMlJHR0cyV/i9e/f69OmjykOqA2jAAgAAAAAAUI3u3buzWKx169bt37/fzs6OWqmmprZo0aKPHz/6+/vv2LHD3t5+0KBBCgqZMmXK/fv3V65cmZubSzV+MRiMhQsXfvjwYe3atUeOHFHQgQsAmqL3799zOJyhQ4cO/q979+5VlVjSnVOuz58/z5w5c86cOQwGY+XKldJZaDRaQEDAlStXPD09b9++vXbtWkmuV69e2djYqPCI6gJmIWzaMAshKA/zOjUViFQTgmA1FYhUE4JgQZObhRAAAGRgFkIAAAAAAIAmoLCw8LfffmvoWgAANCv1Ooh7bm7u/fv3qWkas7KyunXrNnDgwPqsAAAAAAAAQF1r1arVzz//3NC1AABoVuqvB5ZAINi6datk7oykpKTTp09Xd/pYAAAAAAAAAABoaeqvB1ZWVpZIJJo1axY12Jinp2dISIi/v3///v2lk2lqavbt25fNZtdbxQAAAAAAAAAAoDGrvx5YYrGYTqdLhsqn0WiTJ0/+7rvvZJLl5uZu3bq1WkPLu7m55efnq6qeAAAAAAAAAADQqNTrGFgyWCzW+PHjZVaKxeLly5dnZ2d37NhRZtOyZcuePXsmvWbs2LH/+te/6raWAAAAAAAAAADQoBqyAUsuGo1Gp9NFIlHlTX/88QchhMPh/PTTT+fPn69Wsa9evQoLCwsMDFRNLQEAAAAAAAAAoL7U3yuEder169czZ84cM2ZMcHAwIYTH47m5uUm2Llu2bNWqVTKDbRFC3Nzcrl27NmXKlPHjx1+9evXRo0eTJ08eP378yZMn5RZy7949an1gYKCHh8f48eNv3bpVH4cHAAAAAAAAANCCNboeWDVz6dKloKCg/Px8Pz+/gQMHdujQQSbBypUr+/XrVzljfHz8vn37Hj16tGPHjs6dO+/atSsrK2vp0qXDhw9XU1OTuy9/f//27dsfPHgwNzc3NTVV5ccCAAAAAAAAAADSmkkPrEmTJrVu3drKyqpXr17v379XPqOnp6euru6gQYPU1dW///57AwODLl26tG/fPj09XW76pKSk3NxcHx8ffX19a2vr4cOHq+YAoHZ8fX15PF5D16L5O3jwYENXAZSCSDUhCBZAPai754Tr168fO3aMWn716tVff/1VXFwcFBRUXl5e17sDAABoaZpJDyxjY2NqgcViVWsGwzZt2lALTCbT0NBQslxaWio3fVZWVocOHarqnAXVEhsbe/v2bYFA0Llz56lTp+ro6BBCcnNzQ0ND379/z2azp06damlpSQjJyck5fvz4x48fTU1NJ0+e3K5dO1XV4cqVK1paWgMGDFBVgc1VQUFBWFhYYmJiUlLS6NGjXV1dSRXBkpAbtVu3bt24caOgoKB9+/ZTpkwxMjIiVfxPkJsSvkpVkSouLn7z5k18fLyent7EiRMJIQ8ePDh69Kh0xhkzZvTp0+fs2bMXLlyg1nTu3NnHx6eeDrXpq0Gwqtr68OHD2NjYvLy8tm3b+vv7VxWsuruXAjQe6enpFy5cSE5OFolENjY2kydP1tPTq4sdRUZGXr16lVo2MjIaPny4ra3trVu31q5dO2bMGAbjP8/YVT1pbNq0KSMjgxCir68/dOjQQYMG1UUlJfDAAwAAzUAzacCSoaWlVVZWVlZWpqGhQQj5/PmzqgoxMDDIyspSbW1brOLi4hUrVjAYjNDQ0NjYWE9PT7FYHBIS0r179/nz5z98+HDfvn2bNm1iMBgHDx50cHBYsGBBXFzcgQMHfv31VyV3kZKSEhsbu2jRIpn1t27dKigoGDt2LIfDMTMzU/GBNUdHjx61tLRUV1cfPXr0mzdvCCFVBUuSRW7UMjMzFy5cqKend/78+ePHjy9ZsoTI+59QVUr4KlVF6vr163w+38TE5MuXL1QyZ2dnZ2dnavnz5887duzo0aMHIYTP50+fPl2yCZRX3WBVtfXJkyeXL1+eNm2a5PeVqoJV43spQFORmJh48ODBYcOGeXp6amlpPX/+PDk5uVevXsrkreqZoSoeHh4eHh7Xr1/PzMykuuTT6fQFCxbIJFPwpOHj42NjY5OWlvbnn39aW1ubm5sruesawAMPAAA0A/X3CiGNRhOJRGKxWHEysVgsEono9FpVTENDw8zM7PTp0yUlJX///XdOTo6qCrG3t6+oqDh48CCPx0tMTLxy5Upt6tnCeXh4GBgYsFgsBweHgoICQkhGRsaXL1/c3Nx0dHSo9zrfvXsnFoszMzNdXV21tLS+++67T58+lZWVyS2wqKjI19dX8jE4OHjXrl0ODg6EkIKCgpCQkGXLlnl7e3t7e1+4cMHW1jY4ODguLi4iIsLb27u4uLh+jrqJSk9P79mzJ4PBMDMzo34llhssSfqqojZ58mQ2m62pqTlgwIDs7GwqceX/CVWlhK9SVaRGjx49ceJEqjdcZTExMSNGjKAa94uKilgsVr0cXHNT3WBVtfXs2bM//fSTlZWV3N7BkmApfy8FaKLKy8uPHj06YcKEYcOGtWnTRkdHx8XFRdJ6lZqaun79ej8/v/DwcKLwmeH+/fu//vqrj49PcHCwpBFfGpfLDQ4O9vX13bJli+TPltyMX33SoNPpVlZWbDabx+NVrlJCQoLM7vLz8yUJsrOzt2zZsnjx4i1btkRFRUleLczPz//3v//t5+f322+/UWNi4IGn/lX11ur169dPnz4tvUYkEgUEBCj5c3u1ElerYqol865rRUXFv//975CQkLreLwA0e/XXA8vU1JROpx86dEhxR24ej0en001MTGq5Oz8/vz/++CM8PNzd3d3W1lZVhairqwcGBu7cuXPKlCmtW7deunRpLevZwolEopycnPv3748cOZIQkpmZ2b59exqNRm21sLDIycnp3Lmzg4PDzZs3hwwZEhcXZ2dnR31tVsaPP/7o4OAgEol27drVtWvXKVOmFBcXHz58uGvXrjY2NjY2NseOHZN8dQQF7O3tz5w5I72mqmBRH2k0muKopaWlWVhYSD7K/E9QkBIUU3mkKsvJyUlJSZk+fTr1kc/n7969W1tbu1OnTl5eXpL3suGrqhssuVvbtGkjFArv3r0bFxenq6s7evRo6d5w0sGqQawBmhbqRy8nJye5Wx88eLBkyRIej7dt27bevXubmprKJKCeGQghGRkZs2bNMjQ03L9//7Vr18aNGyedTCwW7969u2fPnnPnzs3Ozt63b5+9vT21qXJGHx8fxU8a5eXlL168oN52lNumXNXuxGLxgQMHevTosWjRopycnL1790rW796928HBYfbs2S9evDhw4MAvv/zy1WpAjQUHByclJUmvcXV1pV69l2vQoEEnTpxITEyUfD2h0+n+/v5K7q5aieuI4tdRK79aSwiJjY0dPnx4ZmZmXFyci4tL/dUVoOnLzMzcunVrUlKSqanp0qVLu3TpUt0Sjh8//vfffxcXF/fo0WPZsmXSrTF8Pn/atGlz5swZNWqUSmtdh+qvAUtLS2v58uX379+vangpCpvNHjNmjJaWVlUJjI2Nz58/L71G+qPkPaNu3bqFhoYqrpJ0RulfCbZv366gkHbt2m3ZskVxyaCMhISEffv20Wi077777ptvviGEFBcXa2trSxJoa2sLhUJCiJub25YtW86dO8dgMGrQaJiWllZWVubu7k6j0XR0dDw8PA4fPly5oQQUmDZtWmxs7NWrVyMiIsaMGaOpqVlVsCQURC0lJeXcuXOS9ywq/0+oKiV8lWojJdfVq1e/++47ST/ZhQsXMhiMwsLC6OjokJCQVatWqfaImrHqBkvuVi6Xm5+fz2Kxfvvttw8fPuzZs8fCwuL/2LvzuCautQ/gJyEJkISwCbKKoKDgWlCu4kbVqlesrQstbhWpGy5FUWvrWqR1adWKrVurtVUUrUvVtioq4lJFQFBcAFlFERCIhJ2QkLx/zL1z85JFkEBAft8/+pmcOXPmmTk0Jk/OOUN/M6/XWU18LwVo5V69eqVhwcQxY8YIBAKBQODm5paXl6ecwKL5+vpSG56eng8ePKi3Nzs7WyqV+vj4EEKcnJwGDx5MD8LSfKCysLAwQgiLxRo/fry69VXVnS47O1sikfj4+DAYDEdHR7o8KyuLKqfCOH/+fEFBgYaLhSaiVn4UCoWhoaE7duxoyCFTp06lNugVLZoxvmageTqq8tRaQsi4ceMIIc7Ozi0UIsDbQi6Xh4SEDBo0KDQ09NKlS+vXr4+IiGCz2Y1qpLy8/Mcff2Sz2d99992RI0cCAwPpXRERETKZTNtRN68WXQOLSk615BmbTiwWBwYG7tu3r7F/KPBaffv23bVrl0gkunTp0t69exctWsTlchV/fqyurhYIBKWlpWFhYbNnz3ZxccnKytq7d++KFSsaNcpDKBRaWlrSwxYsLCxKS0u1fDFvOz09vXHjxr148aKsrCwsLGzFihUqO4t+qaHXoqOjExISgoKC6E5U/kugypVrwmtpsadUqqmpuXfvXkhICF1CvTeamJhMmzZt6dKl5eXlmFHYQI3tLJV7WSyWkZERlZHv1q1bz54909PTqS+r9Tqr6e+lAK2coaGh4oS+eszMzKiNev8rKUtISIiPjy8oKBAKhfQQSFpxcbFimozH49En1XygMmoNrOLi4iNHjlRXV48YMUK5jrrTUQ9toD/b0OVCofDly5eK309KS0uRwNKJrKyss2fPlpaW9u/ff8qUKYQQkUj0+++/p6WlVVZWEkIEAsGnn35KCFmyZMmGDRvqTVLJz88/fPjw8+fP7e3tu3btWllZOWPGDMXKMTExkZGRJSUlTk5OAQEB1D++S5Ys8ff3P3PmTFlZmZeXF7WuaMMDY7FY/fv3/+CDD6jlF5VPQY84O3HixLZt27hcLt2sUCgMDw/Pzs62sbHp2rUrXa6ucZWhqrtqgPYpIyNDJBJ98sknDAZj0qRJp0+ffvjwobu7u4+PT3Bw8C+//FJVVUWtGrxjx47q6uqPP/5YeQTo/PnzqY1BgwbdvXuXLk9PT3/48KHiyP2IiIjTp0+LxeJ///vfiv+OtCottwZWG6Wvr//LL78ge9VMmEymmZnZ+++/n5qaKpfLLSwsqCfyUHJzc62srFJSUiwtLXv27MnhcLp3796pU6dHjx6pbI3D4dTW1tIDFugPlKampkVFRfT6a8XFxfSnWGgUFos1a9aswsLCwsJClZ1Fv1TXa+fOncvPzw8ODq73tbneX4KGmtAQTe8pdZKSkhwdHVWujUWtcohZaY3V8M5SuZeaQkj/esZgMPT19antep3V2L4GaHOcnZ1FIlG9+VzqqPvMkJmZefr06UGDBi1evJgeKaNIMWNFCCkuLm7ggSoxmUxLS0svL6/MzEyVIak7nbpyY2Pjzp0771HwxitpQBNRs1aDg4Pj4+Opx2Lu2rXLysoqJCRkw4YNjo6O3t7eLi4uKo+lpoi6ublt2bLF19c3NjZWuQ41ZXXTpk2EkKioKLo8NjY2ODh46dKlt2/fzsrKalRgy5Yto55moO4UQUFBXl5evr6+e/bsUcxeUXNXu3btumnTpsmTJ9MBa2hcOdSGXDVAu5KVldWtWzf6twoXFxf6o2B8fPy+ffsWL168c+fOkydP7tq16+uvv/71118Vl0qk1dXV5eTkXLx4kZ6EVFNTs23btiVLltDj9FNTU//66699+/adO3eu1WavCBJYoCs5OTmRkZHl5eWVlZUXL17s2rUrg8GgHgl/5cqVqqqqq1evcrncTp062dnZ5ebmpqSk1NbWpqWlZWZmqlsRic1mW1paXrlyRSwW37hxg17hkmr2zz//rKysLC4uPnXqFD1vn8vl5ubmvvbZAnD06FEqCUh94zUxMVHZWUKhcPXq1RKJRGWvCYXCuLi4KVOmKD6lQeVfgsqa0BBa6SkN7SclJdGrvVAiIiJKSkrKysqOHj3ao0cPOnsCr9XYzlK519TU1MHB4fTp09XV1ampqU+ePHFzc6Par9dZje1rgDaHWgZu//79d+7cKS8vLysru3HjRkJCgsrK6j4zCIVCIyMj6v+OuLg45QO7du1aUlISHR1dU1OTnJx87949zQdq/qQhl8uFQuGtW7e6dOmiMiR1p3NycqLKxWJxSkqKYrlIJLpx40a9JTvwgaflUbNW7ezsqFmr9IoWPB7PwsJi0qRJt27dUncsPUWUy+VSU0SV6/j6+nbq1InL5Xp6eio+sYo6r729vaurq+LPHg0P7M6dO5pPoTJgaq6roaEhNdeVLlfXuHKoDblqgHaloqJC8WdjLpdLv7dPnjyZz+dTT/WZOHGiqalpjx49HBwcqGd3KLp169aoUaM+/fTTbt26UUs9EkLCwsLee+896rMlhclkVlVVCYXCZr6mpmrRKYQANFNT09TU1AsXLrDZbDc3t4CAAEIIg8FYsGDBgQMHzp496+DgQBXa2dlNnz79xIkTQqHQ1NT0o48+cnR0VNfstGnTDh8+HBkZOWTIEPp/SD09vUWLFh07dmzt2rVcLnfQoEH0IqYDBw7cvXv3ihUrvv76aw0rrwGHw9m6dWt5efmrV68CAwOpJIVyZxFC5HI5g8FQ2WuPHj0SCoWKC1rNmzfPyclJ+S8hPz9fuSb9hgsaaKWnNLSflZU1atQoxZKysrKQkBAOh9OrVy96ZXdoiMZ2lsp3SEJIQEDAL7/8snLlSisrqzlz5tCTUOp1VmP7GqAtGj16tKmpaVRU1NGjR7lcbu/evestwa5I5WeGPn36xMfHr1u3ztra2sPDIy0trd5R+vr68+fPj4iIOHPmTM+ePYcMGUJ93Fd3oIZPGtQaWEZGRv3796cW0FUOSd3pDA0NFcu9vLyqq6sJIWw2e8GCBREREadOnWKz2X379p0+fbrmMKCZ1Ju12qgVLdRNEVWkbsqqqakpfZTKpYdfGxj9mMKGz4pVN9dVQ+PKoTbkqgHaFSMjo5qaGvplVVUV/X8NPUmFy+V26NCB3lb+v37QoEGXL18uLi4+duzYunXrNm3adOLECbFYPGnSJMVqLi4uc+bMWbt2rZ2d3ZIlS+zs7JrrqpoGCSzQDYFAQC17WY+VldXq1avrFXp4eNCPwVaJXjXT2dl5w4YNyhU6dOhAr6ykyMbG5uuvv25o0O3Y5MmTJ0+efODAAWqxBopyZ5mbm2/cuJHaVu61nj177tmzR7lx5b8EdTXhtbTSUzTl51Vt3ry5Xsm8efOaGnR79QadpfId0sjISOXbqXJnvfa9FOAt4OnpqfwgQsXVten5fSo/M+jr6y9cuJB++d577ymfomvXrspPglN3oLpPGsr/L6sLSeXp6pUfPHiQHlNpb2//+eef16uMDzw6R69oQSVoNK9ooW6KKI2asurn52djY5OWlpaYmKj1wBp1CnUBa/eqAdobW1vbzMxM+mVmZmbDp6groqar+/v7+/r6ymSy48ePl5SU0AsvXrp0KTs7e+HChWPHjh09evSRI0dCQkJ+/vln7VyDtmF6DrQjv/76awOXxgCVFL9mQ2uGnmpD0FkAb5PS0lLl3HGzqqmpiY2NffjwYf/+/VvyvNBYGla0UFlZ5RRR2mvnujY9sEbNitUw11WLVw3Q3ri5uTEYjBMnTlRUVJw6dYrH4zX2aZ5paWnHjh0TiUTUch+9evViMpknT56M+q9Ro0YtW7aM/gGGwWA4OzurHLzZSmAEFrQj/v7+ug4BAAAA3lrGxsZffPFFy5xr+/btz549YzAYtra21FOoWua88GY0rGihTN0UUdpr57o2PbBGzYpVN9dVu1cN0N4wGIzQ0NBvvvnmwIED3bp1W7NmTWNb6NChw927d8PDwzkcTv/+/VUO/qUkJCR8/fXX1dXVDg4OysN4Ww+G4qRKaHOofxua4+nIeXl5TXz6m1AoxPPjWhUNPYLOalXQU20IOqutQE+1IegsaHpHC4XChnw8bvrH3ZZBTRGl5/u0E+3zqgHeGg18H24sTCEEAAAAAABodXQ+RVRbs2L379+fkZHRwMo6v2oAaLUwhRAAAAAAAKAVaSVTRLU1K3b27NkNqdZKrhoAWi0ksAAAAAAAAFqR4OBgXYegA+3zqgGg4TCFEJoLi8WSSqW6jgL+QyqVslhqE9borNYDPdWGoLPaCvRUG6K5swAAAKA9QwILmouenl5dXZ2uo4D/0PyVAJ3VeqCn2hB0VluBnmpDkMACAAAAdfARAZoLh8ORSCT6+vq6DgQIIUQqlWroC3RW64GeakPQWW0FeqoN0dxZDSEWi6uqqmQymbZCaidYLBaLxeLxeLoOBAAAQC0ksKC5cDicmpoasViMbwU6V1FRIZPJ2Gy2ugrorFYCPdWGoLPaCvRUG/LaznotkUjE4XAsLS2ZTEwyaByJRFJZWfnq1SszMzNdxwIAAKAaEljQjPh8fklJCYPBIISwWCx8mmxhUqlUKpXW1dXJZLLXPsYFnaVD6Kk2BJ3VVqCn2pBGdZYGYrGYw+GYmppqE8cUWAAAIABJREFUMbb2g81mm5iYMJlMlclckUhUVFQkkUiaeBZDQ0Mul9uxY8cmtgMAAO1TK0pgCYVCQoi5ubmuAwGtYTKZ5ubmlZWVMpmM+q+uI2pfqOkAbDa7ITMC0Fk6hJ5qQ9BZbQV6qg1pVGdpUFVVZWlpqa2o2icej1dcXFwvgZWRkcHlcrt169aUwXGUqqoqoVCYkpLi6uraxKYAAN4a2vqRoOla/88MrSKBJZfLf/vtt7i4OEKIp6fnzJkzqV9B4e2A9RTaEHRWW4GeakPQWW0Feqqtk8lkGD3XRMrPNBCJRDwer3Pnzlppn8vlcrlcJpMpEolMTEy00iYAQJumxR8Jmq71/8zQKv6Zj4+PT09P37hx48aNG9PT0+Pj43UdEQAAAABAe1dUVGRra6vdNi0tLYuKirTbJgBAW0T9SODo6NgasleEEC6Xa29vb2FhIRKJdB2Laq0igZWfn29tbW1iYmJiYuLg4FBYWKjriAAAAAAA2juJRKL1r1VsNrs1zJQBANC55viRoOla888Muk9gPX78ODY2NiUl5dq1a9euXUtJSenZs2cLx+Dj41NSUtLCJwUAAAAAAACA9qk5fiRoutb8M0NLr4FVUVFx+/ZtQoiXl1d1dfXJkyfT09PHjRtnYmJy6dIlQsjMmTM1T7PPysoKDw+/d+9edXW1paXl2LFj/fz8miPUuXPnZmZmEkIEAsGQIUMWL16s+Lf1448/Xrt27fjx43p6ei0fGwAAAAAAAABA+9GiCayKioqNGzd26NCBEBIZGVlbW+vp6RkSEmJkZEQIcXd3f20L9+7d27Bhg5+f39y5c/l8flpaWnR0dPMF/N13373zzjsFBQWhoaEnT56cMmUKVS6RSK5du2Zvbx8TEzN48GCdxAYAAAAAAAAA0E60aALr9u3bHTp0CA4OJoSsX7/ezc3t448/bvjhEolk8+bNixYtGjFiBFXi7u5Op718fHyCgoL27t3r7+8/fvz4ixcvHjt2rKioyNXVdc2aNdSDTnx8fL766quffvqpoKDgnXfeWb58uUAgoA5PTk7ev3+/UCgcMWJEUFAQfVIGg2FtbT1w4MDc3Fy68ObNm87OzoMHD75w4QKVwNIcGwAAAAAAAAAAvDHdr4HVcA8ePJDL5XSGSFlCQsKhQ4fGjx9PCMnKylq9evXx48cZDMbJkyfpOmfOnAkJCQkPD5fL5Xv27KHLIyMjt23b9v3331+9evXBgwd0uVwuz8rKioqKokdaEUIuXLgwZMiQwYMHJyQkFBcXNyQ2AAAAAAAAAAB4My06AsvLy+vatWvbt28nhFRUVNy6dUssFk+YMIGaQvhaRUVFNjY21HZFRcUHH3xAbUdFRVEb48eP5/P51PaCBQuojREjRsTExNCNTJs2jWpkzpw5iiOtpkyZYmZmZmZm5uHh8fTp0969exNCVqxYQQgRCARr166lh1MVFBQkJSWtWbPG2Ni4R48eFy9enD59+mtjAwAAAABoJ+rq6mpqagwNDZnMtvR7OQAAtGYtmsDi8/mrVq2iFnGfO3cutYj7+vXrfXx8TE1NqUXcx4wZ07dvX3WH009z5PP5UVFRiqkiQkjHjh3p7evXr0dFReXk5Lx8+dLDw4Mut7a2pjZMTU0rKirkcjmDwSCEWFlZUeVGRkY1NTXU9nfffde1a9eNGzfGxMTQCazIyMgePXoYGxsTQoYNG/b7779PmzbttbEBAAAAALQHdXV1WVlZT58+HTRoEJfL1XU4AADwlmjppxDy+fxRo0bR24GBgY8fPz569KhIJPL19SWE/PbbbyYmJiofRNi7d++SkpLExER1a0vRDwR89OjR3r17g4KCOnfufP/+/Zs3b9J1SktLTU1NCSE5OTkdO3akslcaCASCVatWzZw5c8SIEd27d5fJZBcvXiwsLFScLXj//v3XxgYAAAAA8Narq6vLyMi4cuWKvb09hl8BALSAmpoaHx+fZcuWjR07VtexNC/d/6PSo0cPT09PV1dXb29vb29vV1fXR48eqawpEAhmz54dGhoaGRlZUlJSU1OjrmZBQYGJiYmzszNRmsR38ODBkpKSgoKCvXv3jhkzpiERCgQCf3//HTt2yGSyhISEioqKs2fPRv3XsGHDzp8/3/DYAAAAAEAncnNzFy5c+O67706fPv3hw4cN2av5EKhHKpWmpaVRT+t+9913DQwMdB2RzshkstDQ0FevXtElUqn0u+++e/78uboKlCVLlpSVlWk9HqlUun379uzsbA0RNqvMzMw1a9YkJSW1zOkA2hUDA4OtW7deu3ZN14E0u5YegaWStbV1XFycSCQihOTk5KibQkgImThxooWFxfHjx8PCwjgcjr29PfVMw3oGDx589erVGTNmdO7c2dvbW/GN0tPTc968eXV1dSNGjPDz82tghO+///5ff/31119/3b9/38fHh15pixAybdq0RYsWlZWVNTA2AAAAAGh5crl8zZo1Q4cO3bx584ULF1avXn3q1Ck2m61hL4vF0nBIOyeVSgsLCzt06MDhcOiStLS0W7du2djYDB06tIGr3L4FXrx4ceHChdTUVLFYbGpqOmjQoNGjRzOZzLVr1ypWO3v27MiRI+3t7amXyhW07vLlywYGBkOGDCGEsFisuXPnHjhwYP78+fr6+i0TAE0sFkdFRa1evfrgwYNdunRR/DLVQM+fPz9//nx6erpMJnNxcZk6dapAIPjmm29yc3MZDIapqemAAQPGjRvHYDCWL1++cuVKCwsL6sDs7OyDBw9u2LChXoMvX748cuTIs2fPbGxspk6damdnRwgpKio6dOjQ06dPLSwspk+f7uTkJJfLjx07Fh8f37Fjx7lz51JTeY4ePdq9e3fNM2+++eYbmUxW7w6LRKI1a9a8//77o0ePpurQT7q3s7NbvXp1Aw9UdP369ejoaJFI5ODgMG3aNEtLS5UXQtevrq5eu3bthAkTBg0apO4+NCp4ExOT9957b/jw4RpuBVXTwMDAyspqwIABQ4cOpSZCffPNN5MmTerevfvTp0/Pnj2bk5PDZrOHDRtGDSOi9xJC/vzzzydPngQFBdV7B/7zzz/Pnz9PbXfv3p1a5LqqqurJkyfx8fECgYD+yq/yRmn3SltASkrKvn37UlJS9PX1J06c6O/vT+/atWtXAwfotGmtIoHVv3//5OTkVatWEUI8PT379++vofKQIUOod+F6/v77b3rbwMBg48aN9MuPPvqI3vby8vLx8dFw7NKlS6mNn376iS5kMpk///wzIYR6xKGiLl26XLhwQXNsAAAAAKBb6enpIpFo1qxZDAbjo48+OnHiRFJSUr9+/TTsFQgEGg5p52pra+/cuWNpaenp6cnhcKRS6ZMnT2JiYqytrQcPHkwtF9sepKam7t+/f/To0RMmTOByuTk5OXfv3lVZc9KkSdTG9evXRSJRC6yWW1BQYGtrS7/k8/mKz7BqSfr6+nPnziUKD9pqlJSUlAMHDowaNWry5MkGBgZJSUnp6enUMsdBQUEuLi4vXrzYv38/n89/9913G9jmgQMH+vbtu2DBgtu3b+/fv/+rr76Sy+U//fRTnz595s+fHxsbu2/fvm+++ebJkyclJSXffPPNP//8c+nSpY8//jgjI6OioqIh68aUl5enpKS4urrSJVevXjU0NFSsExQURCVoGnsg7cWLFwsXLhQIBH///feRI0eWLl2q8kJYrP988Y+MjJTL5RruQ6OCd3Fxyc7O/uGHH5ydnenkrLKgoKBu3bqVlpZmZmaePXs2OztbMfNSVVW1c+fOKVOmBAYGikSi6OjoeoffuXPn/v37wcHByr8fVFRUzJw5c8CAAYqFV69eraiosLa2Li8v13CjmuNKm1VFRcXSpUuXL1++ZcuWoqKiEydOKO7dv38/tfHw4cPffvtt69atuoix2el+CiEhhMFg+Pv7h4aGhoaG+vv7v3ZdKgAAAACARsnIyOjevTv9ObNbt270ZC51ezUf0s6x2Wxra+v79+/HxsZWVVWlpaXFxMRYWVl5eXmZmJjoOroWIpVKf/vtt48++ui9994zNzc3NDTs3r379OnTqb30ZECRSPTTTz8tX748MDAwMDDw/Pnz1LdldbMFs7KyQkJCgoODIyIiqJKYmJivvvoqKCgoLCyM/k6+ZMmS+/fvf/XVV8HBwSdPnqzXSFhY2O3bt0+cOBEYGFhVVaWuBeUAVDabn5//7bffLl68+Ntvvz19+vThw4cJIZWVlUuWLFE84/3793fu3EkvQFxdXb106dLKysqSkpIff/wxODh48+bN9P9EyicSCoWrVq2SSCQqb/KoUaPMzc15PJ6Xl5fiQ7qYTKa9vb23t3dKSsrreuw/5HL5ixcvhg0bZmBg4O3tXVhYWFtbm5ubW15e7uPjw+Pxhg8fzmazMzIy8vPz+/TpY2ho2KdPn1evXkkkklOnTjVwHo+7u/uVK1fol9XV1XFxcW5ubto9cOrUqRYWFvr6+kOGDMnPzyeEqLwQqjL1ttarVy8N96FRMTCZzC5dulhYWLx23iuDwTAxMfHw8Fi8ePG9e/cU30tLS0tlMpmHhweHw7G0tPz4448VD3zy5Mn58+cXL17M4/GUm62srFQe7Dlu3Dg/P7969ZVvVDNdafMpLi6WSqXvvvuuvr6+nZ0dlYMrLS0dOXIkXScoKGj58uVDhw4lhPz9999Tp04dOXJkUFBQSUmJrsLWrlaRwKKYm5ubm5vrOgoAAAAAeAtVVFQoTlzi8XhisVjzXs2HtHNsNvudd97x8PC4d+/e4cOHo6OjqeyVmZmZrkNrOenp6XK53NPTU0MdmUy2a9cuKyurkJCQDRs2ODo6ent7u7i4aDjkzp07S5cuDQ4Ojo+PT09PJ4Tk5uYGBARs2rSJ/P8VfmNjY4ODg5cuXXr79u2srCzFRoKCgry8vHx9fffs2cPlctW1oFK9ZuVy+f79+93c3LZs2eLr6xsbG6vh2H/961/37t2jth88eODq6srlcnfv3u3o6Lhx48bhw4fv379fJpNpiL/eaIaMjIzX3mRCiEQiafiaawwGo2/fvteuXROLxdevX3dzc+NwOC9evHBwcKDP3qlTp5cvX5qbmz98+LCmpiYxMdHGxuavv/4aMmSIQCBoyFn69euXl5eXl5dHvfznn3/c3d2p+ZvNcWB2dnanTp0IISovhBBSW1t7+PDhKVOm0LtU3odGxSCVShMTE6l5na+9LoqFhYWjoyP1h03p2LGjtbX1nj17iouL61XOz88PDw8PDAxUlxavqKjYvXv38uXL9+7dKxQKGxIAfaMozXelWtepUycnJ6cvvviCjlalNWvWUPPGMjMzv/rqqzNnzjAYjOPHj7dUmM2rFSWwWsDff/9NzVsGAAAAgHbFyMiourqafllZWamYalG5V/MhYGBg8M4777i7u5eUlNjY2AwePLi93Z+SkhJ6raWqqqrA/1Ksk52dXVtb+/777/N4PAsLi0mTJt26dUtzs2PGjBEIBHZ2dm5ubtQ3VV9f306dOnG5XE9PTyoZoVjT3t7e1dWVXk1JJXUtaAiAbjY7O1sikfj4+HC5XEdHx8GDB2s4tm/fvjk5OZWVlYSQu3fvDhgwICsrizrcwMDA09OTwWAUFBSoPJG5ufnGjRvpyW6UV69eUcsVqSOVSjMyMq5evfraJJciHx+fy5cvL1my5PTp0+PGjSOEVFVVKU4cMzQ0lEgkffr00dfX/+KLL9LS0rp16/bixQtzc/M1a9YsX748JiZG8yn09PS8vb2pdGFdXd3169cVH2RPCQsLo/5mTp061agD68nMzPzrr78mT56s7kIIIREREQMGDFCcVaryPjQq+MWLFx88eHDAgAF6enqaI1RkYmKi+NbKZDKXLl1qa2u7cePGI0eOKO66fPmyi4uLtbW1uqYWLlz4448/rlmzxsDAQHEJIHUUb1QLXKl2MZnMnTt3dunSJSAg4Ntvv62oqNBc/7PPPnNxceHz+e+9996zZ89aJsjm1irWwAIAAAAAaFZ2dnb0PBpCSEZGxieffKJ5r1gs1nAIEEIMDAz69evn5OTE4/Haz7pXNC6XS0/M4XK5e/bsqaqqWrZsmWIdoVBoaWlJj3mxsLAoLS3V3CydB+RyudSUroSEhPj4+IKCAqFQqLhkEv3b/GuHB6prQaV6zRYXF3fs2JG+BB6PRz19SyV9ff2ePXs+evSoV69eubm5PXv2vHv37suXLxXzeqWlpTY2Ng2M39DQUMPpwsLC9PT0OnbsOHHixJ49exJC9PT0FCch1tXV0aOKFAMICwubPXu2i4tLVlbW3r17V6xYQd9tSnV1tUAgYDKZs2bNIoTIZLLt27fPmjVr165d8+fPNzAw+P777/v166f5qQ5Dhw5dt25deXl5cnKyg4OD8nwjlWtgNeRARdHR0QkJCUFBQVQ1lRdy5coViURSbwFylfeBPldDgndxcSkuLqayTsqrRatTWFjYrVs3xRIOh/Phhx+OHDnyxIkT27dvX7lyJZXHnDhx4rlz565fvz5s2DCVTVH338TEZNq0aUuXLi0vL9fw+Ih6N4rWfFeqdQYGBvPnz/fz89u5c+eiRYuodbrViY6OvnTp0tOnTwsKCjSvM96GIIEFAAAAAG+/nj17MhiMY8eOjRs37vz58zwez8XFJT8/f9GiRRERESr3yuVy5UJdX0erY2BgQCUj2iFnZ+fy8vLU1FQNKSFTU9OioiLqb4kQUlxc3NhxapmZmadPn/bz87OxsUlLS0tMTGxsnE1soV7Gip7nxeFwamtrJRIJlUSg63h6et68eVMul3t4eDCZTGNj486dO69cubKxYVOcnZ1FIpG6m6ycADI3N8/Ly6P/JvPz8zt06FDvqJSUFEtLSyrh1b17906dOj169MjOzk5xFFtubq7iM90iIyPd3d2NjIw4HA71qL6OHTuWl5dr7k1DQ0NPT88bN24kJSVNnTq14Vfd8APPnTtXUVERHBzMZP5ncpWFhYXyhZw6daqsrCwhIYEqvHPnTl5enr29vfJ9oFNFDYmByWRaWlp6eXndvn27gZeWmZmZn59PnbQePp/v7++/cuXK58+fOzo6UiULFy787rvvjI2N+/btq6FZmUwml8uVk5U05RtFa6YrbT4mJiZr164dP378kydPXFxcamtra2trqWun51E+ePDgxx9/XLZsmaOjY2Ji4vXr13Uasta0rymEAAAAANA+MRiMzZs3X7x48f3337927VpISAhVTmUWVO5VdwgAhcfjffDBB/v3779z505ZWZlYLK63EBUhxMnJiRDy559/VlZWFhcXnzp1qrFPLRcKhUZGRtSqPXFxcQ0/kFr6Si6Xv3ELFCcnp5KSkujoaLFYnJKSQi9xxWazLS0tr1y5IhaLb9y48erVK6qcmg8YGxtLPRvOyclJJBLduHHjtUvICYXC1atX11vEnc/njxs3jrrJ5eXlZWVlN27coBMxyvr373/u3LmnT5/W1tZmZ2dfvHjRy8urXh0qV5WSklJbW5uWlpaZmUmtLkQIuXLlSlVV1dWrV7lcLr1S0suXL1NTU999910Oh1NRUfHixYuioqLi4uKGPK9gxIgR0dHRHA6nc+fOr63c2AOFQmFcXNyUKVMUkzIqL2TLli17/mvAgAHTp0/39fVVeR8aFQP113Xr1q0uXbpovhyq5o0bN/bt2+fn56c4Turp06cXLlwoLS2VSqXJyckSiUTxxnbs2HHu3LmHDh1S/p+LEBIREVFSUlJWVnb06NEePXqoWylM5Y1qpittPsnJyb/99ltxcbFEIomNjRWLxZaWllRGNSIiorq6+o8//qDn5+bn55uYmFA/uly+fFlXMWsdRmABAAAAQLvQuXPnX3/9VbHE2tr69OnT6vaqKwSgDR8+3NTU9PLlyxEREVRCZ9q0aYoV9PT0Fi1adOzYsbVr13K53EGDBtWbxvVaffr0iY+PX7dunbW1tYeHR1paWgMPHDhw4O7du1esWLFu3bo3a4FiaGg4f/78iIiIM2fO9OzZ08vLi16laNq0aYcPH46MjBwyZAiVNyGEMJnMvn37PnnyhBqpxGazFyxYEBERcerUKTab3bdvX/pBjcrooWqKRo8ebWpqGhUVdfToUS6X27t37w8//FBdC8OGDauurj5w4EBZWVmHDh18fHx69+5dr46dnd306dNPnDghFApNTU0/+ugjarzPggULDhw4cPbsWQcHh4CAADqkY8eO+fn5UYH5+vru3LmTwWBQ2ZCioqK9e/euXbtWXTxmZmZubm7u7u4q94aFhdHbu3btUkyvaD6Qkp+fLxQKFyxYQJfMmzevb9++Ki9Embr70KjgjYyM+vfvP3bsWA23IiwsjMFgcLncLl26zJs3r14OyMLCIioqasOGDXV1dba2tvPmzau3brWLi4uvry+1WLuVlZXirrKyspCQEA6H06tXr5kzZzb2Rr3Zlao7S3OztbU9fvz49OnTpVKps7Pzpk2bqOXhPv/8882bNx8+fPjDDz/s0aMHVXnYsGFXrlz5+OOPHR0dR4wYQeed2zpGTU2NrmOAN0cNEWyOYdt5eXl4KCQAAAC0HkKhUMOHE6FQ2G4nsmlRvU+AycnJ77zzjtbPcu/ePeWn1NM0d3RDNPCPAR9338zBgwc7deqkeVnxI0eOWFlZvXbp8bfA7du3RSKRDpMarQduxRtopvfYptP8Lt0QzfSPMqYQAgAAAAAAtGqlpaWbN2/WbQw1NTWxsbEPHz7UvCB0WlpaUlISNX/wrZeenu7h4aHrKFoF3ApoAZhCCAAAAAAA0KoZGxt/8cUXujr79u3bnz17xmAwbG1tFy5cKBAI1NXcv39/Zmamv78/j8dryQh1RcO0tfYGtwJaABJYAAAAAAAAoFZwcHADa86ePbtZIwGA9gxTCAEAAAAAQAVDQ8OqqirttllVVWVoaKjdNgEAoD1AAgsAAAAAAFTg8XjUI4O0qLq6ms/na7dNAABoD5DAAgAAAAAAFSwtLYVCYV5enkQiaXprVVVVr169evbsmYWFRdNbAwCA9gZrYAEAAABAm8disSQSCZvN1nUgbZhEImGx6n87cHV1FYlET548aXoOy9DQkM/nN/HR7AAAbw1qmjaXy9V1IP9Pa57ojQQWAAAAALR5LBarsrLSxMRE14G0YRKJhMPhKJebmJjgxgIAaB01Tbu1JbBa80RvTCEEAAAAgDaPx+NVV1eXlZXV1dXpOpa2RyKRVFVViUSiVvurOwDA20e707SbrvVP9NbyCKycnJyamppu3bppt1kAAAAAAM3MzMzEYnFxcTFyWI3FYrE4HI65ubmuAwEAaF+0OE276Vr/RG8tJ7A2b95MCNmzZ492mwUAAAAAeC19fX19fX1dRwEAANBQmKbdcNqcQlhaWkptlJWVabFZAAAAAAAAAABoz7SZwEpMTOzatWvXrl0TExO10qBMJvv0008LCwvpkh07dvz9999aabxZ2wQAAAAAAAAAAG3R5hTCxMREDw8PuVyekJDg7e3dqGOzsrLCw8Pv3btXXV1taWk5duxYPz8/JpN54MABuk5MTAybzfbx8dFizMptHj9+nMfjjRs3TotnAQAAAAAAAACAN/a/BNajR4/oOYA0Y2Pjnj17NqSh0tLSrKysOXPmyOXykydPlpWVCQSCBgZx7969DRs2+Pn5zZ07l8/np6WlRUdHK1cbOHDgwIEDG9hmAym3+fz5c0dHR+2eBQAAAACaiMViSaVSFkvLS7hCq4IuBgAAdf73z0OnTp2OHj2qmMMyNjaeOnWq5uMrKysvXLggl8tjYmKcnJyopJWTk1NiYiI1CCsnJycuLo4QwmQyx4wZw+Px6rUgkUg2b968aNGiESNGUCXu7u7u7u7Uto+PT3h4uKmp6cWLF48dO1ZUVOTq6rpmzRpqkTMfH5/g4OBffvmlqqpq4cKFAoFgx44d1dXVH3/8sZ+fX70TRUREnD59WiwW//vf/w4MDCSEKLe5fPnye/fuEUJ279599uxZPp/fyPsJAAAAAM1CT0+vrq4O2Y23GxJYAACgzv/+eRAIBFOnTqVzWFT2qiGjqBgMhlwuHzhwoKenJ1Xi7u5OzyI8efJkXl7egAED5HK5ysMfPHggl8vp7JU6WVlZq1evtra2DgkJOXny5OzZs6ny+Pj4ffv2xcXF7dixo3v37rt27crLy1u2bNno0aNNTU3pw1NTU//666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" alt="Monitoring ▸ Tổng quan"></div>
+<p class="rg"><b>Trái</b>: Token & chi phí · Hoạt động · Tài nguyên · Bảng giá model · <b>Phải</b>: Sandbox · Quyền · Audit log</p>
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="i">Cài đặt</div><div class="acct"><span>👤 local</span><span class="lang">VN ▾</span><span class="thm">🌙</span></div></div><div class="main"><div class="ttl">Monitoring</div><div class="r tb"><div class="tab on">Tổng quan</div><div class="tab">Bảo mật</div><div class="tab">MCP</div><div class="tab">Hành động</div><div class="tab">Agent</div><div class="tab">Agents Admin</div><div class="tab">Công cụ</div><div class="tab">Icon</div></div><div class="c grow"><div class="hd2">TOKEN &amp; CHI PHÍ</div><div class="r"><div class="b kpi">395.4K<span class="s">Tổng token</span></div><div class="b kpi">$0.31<span class="s">Chi phí</span></div><div class="b kpi">57<span class="s">Lượt gọi</span></div><div class="b kpi">—<span class="s">Ngân sách</span></div></div><div class="hd2">TÀI NGUYÊN</div><div class="r"><div class="b grow">CPU 34% · RAM 2.1/8 GB · Đĩa 41 GB trống</div></div><div class="hd2">SANDBOX &amp; QUYỀN</div><div class="r"><div class="b grow">Tệp: chỉ trong workspace · Mạng: chặn · Tiến trình: giới hạn 4</div></div><div class="hd2 row">BẢNG GIÁ MODEL<span class="ghd"><span class="gact">Nhập · Xuất · Thêm · Tự dò</span><span class="pchev">USD ▾</span></span></div><div class="b tbl"><div class="tr th"><span>Model</span><span>Vào</span><span>Ra</span><span>Cache</span><span>Đơn vị</span></div><div class="tr"><span>qwen2.5-coder:7b</span><span>0.00</span><span>0.00</span><span>0.00</span><span>/Mtok</span></div><div class="tr"><span>gpt-4o-mini</span><span>0.15</span><span>0.60</span><span>0.08</span><span>/Mtok</span></div></div><div class="hd2 row">NHẬT KÝ GẦN ĐÂY<span class="ghd"><span class="gact">Xem tất cả</span></span></div><div class="b grow"><span class="bad">✕ Chặn đọc personal.xlsx (ngoài sandbox)</span><br><span class="ok">✓ pytest tests/test_stations.py → 4 passed</span><br><span class="bad">✕ jira.create_issue — 401 token hết hạn</span></div></div></div><div class="dock fab" title="AI Assistant — trợ lý cách dùng app"><span class="spark">✨</span></div></div>
+<details class="ctl"><summary>Kiểm kê control — <b>14</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>Làm mới</td><td class="mut">nút</td><td><code>self.refresh</code></td><td class="mut">ui\monitoring_tab.py:149</td><td class="mv">→ lên sidebar cùng RECENTS</td></tr><tr><td>0</td><td class="mut">bảng</td><td><code>—</code></td><td class="mut">ui\monitoring_tab.py:175</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Lọc dòng (hoặc gõ câu hỏi rồi bấm )…</td><td class="mut">ô nhập</td><td><code>table.apply_filter</code></td><td class="mut">ui\monitoring_tab.py:347</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>AI</td><td class="mut">nút</td><td><code>lambda: self._ai_filter(search, ai_btn)</code></td><td class="mut">ui\monitoring_tab.py:350</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._reload_pricing_table</code></td><td class="mut">ui\monitoring_tab.py:486</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Nhập</td><td class="mut">nút</td><td><code>self._import_pricing</code></td><td class="mut">ui\monitoring_tab.py:496</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mẫu</td><td class="mut">nút</td><td><code>self._export_pricing</code></td><td class="mut">ui\monitoring_tab.py:498</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thêm</td><td class="mut">nút</td><td><code>self._add_pricing_row</code></td><td class="mut">ui\monitoring_tab.py:500</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tự lấy</td><td class="mut">nút</td><td><code>self._autolink_pricing</code></td><td class="mut">ui\monitoring_tab.py:502</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xóa</td><td class="mut">nút</td><td><code>self._delete_pricing_row</code></td><td class="mut">ui\monitoring_tab.py:504</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>0</td><td class="mut">bảng</td><td><code>—</code></td><td class="mut">ui\monitoring_tab.py:510</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Sửa</td><td class="mut">nút</td><td><code>self._open_settings_and_refresh</code></td><td class="mut">ui\monitoring_tab.py:547</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Sửa</td><td class="mut">nút</td><td><code>self._open_settings_and_refresh</code></td><td class="mut">ui\monitoring_tab.py:573</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xem tất cả</td><td class="mut">nút</td><td><code>lambda: self.tabs.setCurrentIndex(self.tabs.indexOf(self.action_page))</code></td><td class="mut">ui\monitoring_tab.py:586</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li><b>Sáu group box, hai cột</b> — màn dày đặc nhất app.</li><li>Trộn 3 mối quan tâm: chi phí · tài nguyên · bảo mật.</li><li>Bảng giá model nhét chung hàng với thanh CPU/RAM.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Tách thành các mục có tiêu đề, cuộn dọc một cột chính.</li><li>Bảng giá model tách ra thành mục riêng.</li></ul></div>
+</div></div></section><section class="sec" id="monitoring-sự-kiện-bảo-mật">
+<div class="hd"><b>10. Monitoring ▸ Sự kiện bảo mật</b><span class="tag">ui/monitoring_tab.py:132</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Nhật ký lần agent chạm thứ nhạy cảm: lệnh bị chặn, truy cập ngoài sandbox.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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Q18PAAAAAAArw8YwAJghEhMTDQxMdF2Kx8fn7Vr1/Z5ssNXXx3v65ZvYOANZBljsVi7du0yMzNTW95jA9JPiPsd4Lqmx2JF80fN5BkQF87kGUTzR+mxWAMWxpBCeQqcnJyWLl1qYGCwefNmXV3dXiQ7WKULgAHGpBGDTgUAAGB606UAI56Xl5e3tzefz3/y5MmpU6dqa2sRQmPGjFm3bt3EiROfP3+enJxcVlZGtyZCyM3Nzd/fXygU1tTUxMTEkHdBmZq5ufnq1autrKyePXuWkpJSWVnJcEMrK6vly5dbWVlVVVUlJSXV1dVFRkba29sTN8zKykpNTTUwMLCzs3N1dW1sbExNTcU+8vf3nzNnjr6+fklJycmTJ1taWnrcI+XCV9kEgOFlx44dlpaWCCGlUlldXZ2bm5udnd3d3U38CCFUWVn52WefIYQmTpwYGBgoFovb29uzsrJ++uknbM20tLSSkhKEUEBAgK2t7b59+zZt2kRZeadNm+bn52dlZaVSqcrLy9PT0yUSCTEYlUolk8lyc3MvX76MRfIqAe/YsYPNZqs1XwKBYM+ePenp6ZmZmdgSDVH1Bz8/P4VC8fvvvw9w4iqVaufOnf2x02Hndlvrvsb6j0zNEEI3lAqE0EyewUemZvsa62+3tQ52dP3O0tJy0aJFU6ZM0dHRKS0tPX36dGNjI+WaRUVFXl5ee/fuvXTpUmdnp1Z7CQoKmjdvHvZ3XV0dXt36MGAul/vFF1/s2LFDqVTiK3/99de7d++uq6vD/p00adL69eujo6N7vXciyj3u2LGDx+Pt3Lmzo6MDW7JkyRKE0MWLF3u9I8r2kLIB/PDDD9Ua299//33q1KnkIOkaz6GDrvmizHYAAADDFwxgAQoWFhYJCQlyufydd95ZvXp1fHw8i8X6xz/+cffu3W+//dbNzW3jxo1btmzp6Oggr4kQcnFx8fPzO3HiRHl5eVdXFzl9utRCQkLy8/MPHjw4c+bMsLCwTz/9lMmGOjo6ERERFy9evHfvnre398aNG2NiYvbv348QEgqFMTEx4eHheAo+Pj5GRkbV1dXGxsb4QgMDgz179nR1da1du/add945d+6c5j12dnZSxt/rTQAYjvbv319aWsrn862trQMDAydNmvT999/jH2HDUhgDA4PIyMjTp08fPHjQzMzM29tbLSkPDw9nZ+e4uLjOzk7Kyjt79uzAwMC0tLTCwkI2m/3mm29u2rTpu+++Ky4uxvf48OFDCwuL0NDQpqam69evv0rAGGNjY0dHx6KiInyJt7e3QqHA/+0xqj43duzYZ8+eDcfERxJs3Aobw8L+2NdYjy0c2RwdHUNCQjIzM8+fP9/a2urs7Dx58uS8vDzKlVUq1cGDB3u3o7S0tLS0NB8fn/Hjx7/K6JWGgNvb2wsLC11cXG7cuNHr9LVCt0eVShUQEJCWltaH+6JsD8kNIGVju2rVKnKQGhrPIYKu+Rr4Ew0AAKBfwQAWoHDq1Cnsj+zsbDc3N4SQpaWlsbFxRkaGSqW6du2at7e3jY1NSUkJeU2E0OLFiw8fPlxVVUWXPmVqpaWllpaW+/fvVyqV169fDwoK4nA4akM8lBtyudza2to///wTIfTzzz/Pnj3byspKKpVS7vry5csIIR8fH+IAFt5xvHv3roODA0JIKBRu3rw5OjpaJBKR99jS0kJe+Pz5c203IX9hprNgwQJvb289Pb0bN25g42uGhobLli1zcHBgs9kpKSlYjxzrWfL5/D///DMlJQUhJBAI1qxZY2NjU1tbm5ycjGWLUChcs2bNpEmTnj17ht8tYmRkFBsbi3dhIyMjs7KyCgoK8BgokxrBBALBsmXLbG1tOzo6bt++/eOPP2KlkZzzHh4efn5+ZmZmZWVlx44da2pqGuzYBw72I39eXp5UKo2Jibl69SplweDz+Ww2Oy8vr7u7u7a2Fr/5EWNnZ+fv7x8XF6d28yOOx+MFBQUdPXr0/v372JKsrCyE0PLly7dv346v1t3dLZVKs7KyHB0dKQewmAeMuXPnjq+vLz6AxePxXF1d8cEphlH1KDEx8bvvvluyZIlQKCwtLT1x4gSWD+Ryhd9Y+t577/3zn/9EVFVeDWUxpqzsXl5exMTnzJmj1uYkJiZGR0c3NTVRNiCIWRNBbsooq09iYuL3338fGBhoamp68+ZNbE26/SKErKyssAwk3kVLeew+Pj5vvPEG9r193bp1L168wG4G1BY2XPWxqRlCKP71GL3icDjr1q07e/YsdrVFCN28eRP/lFwUmZ9ZIuwsi8XiqqqqR48e4cuZN8g9Boxf33NycpYvX85wXINcdCkLfGJiYmpq6tKlSzMyMrKystS2otxjRkbGe++9d/v27SdPnqjtlC4PT506FRAQoK+vf/bs2ebm5lWrVvF4vMzMzF9//RXflrI9ZNIA0mUL5bYMz0tpaSllB6PHY6HLZLVSpNY2qjVf5COia3V7cU4RfeGkLO1MOgyamym1APqqTQMAgOEC5sACmlhbW2PXb0tLy4qKCpVKhS2XSqXm5uaUa44ePZrD4cyZM+fgwYN79uzx8PAgJ0uZmkqlys/Pnzt3rp6enpeXV3FxMfkGJcoNuVwufiu7SqVqbm4WCoXaHimbzRaJRO7u7sQeOYvFotyjhtzoxSY9EovFs2fP/vzzzyMiIvDufnh4eHt7+65duw4cOKCnp4ctdHd3j4+P/+qrr1xdXadMmcJmsyMiIh4/fhwVFXXt2rXQ0FAWi4UtfPToUVRU1Pnz511dXRnmDzkphvEPRywWKyIiorq6etu2bXFxcdbW1v7+/thH5Jy3sLBISkqKiopCCPn4+Axm3IOnrq6urKxsypQplJ9WV1dXVVWFh4eT66ZIJFq7dm1iYqJMJqNLfPLkyS0tLfg4ESY3N9fc3FwgEKitrKur29bW9ooBY27fvi0SiUQiEfbvnDlz7ty5gyeuVVSaeXl5HTp0KDo6msViBQcHYwvJ5Wr//v3YN5aQkBDsRjC1Kq+WrIZiTEZMfOzYseQ2B0PXgDBpIiibMrrq4+bmFhcXFx8fP3PmTGtra80NF56BbDY7KChIw7Ffv37d1NTU3t7e0tLS2tqa+IUfaGZjY8NisfDBIDXkosjwzBITwc/y5s2bz58//7e//Q1brlWDzDBgFotVUVHB5XLxCq4BuehqKPD29vbbtm3Lysoib0W5x8bGxgsXLqxbt05HR0dtv3R56Ojo+Pnnn6ektlTSWQAAIABJREFUpKxcudLX13f37t2JiYmLFy8mz5FE1x5qaAB7zBZ8296dFzUajkVDJquVIs3NF+URkVvd3p1Tzc0subQz6TBoaKbIAUCbBgB43cAAFqBlY2OzaNGi8+fPI4T09fWJD860trYS52QlrikUCgUCQVNTU1RU1MmTJ5ctWyYSiYyMjJL+w8PDgy61jIyM+fPnJyYmLl26ND09HSHEZEOJRCIWi9966y09PT03N7fx48eTe4GaTZ8+/ciRIzExMRUVFQ8fPkQIvXjxYvPmzR0dHZR7pFzYi00Yhtfd3a2vr29qaoovmThxokAgSElJaWpqkkql+KDblStXGhsbKysri4qKxo8fP2nSJA6Hk5GRoVQqsU78uHHjxGKxjo5ORkZGa2trWVlZTk4Okxgok2IY/3BkbW3N5XLT09NbWlrq6urS0tKwr1KUOX/u3DmpVKpQKG7dusV8XHLkaWho0Nf//29ni4yMxKotNpqgUqni4+OfPn26Y8eO1atX46shhObPn19aWqrhhk2EkKmp6cuXL9UWKpVKpVJpaGiIL9HV1Z08ebKPj09ubq5a06FtwJiurq7r16/7+voihHR0dDw9Pa9du6ZtVExcuXLl+fPncrn8woUL06ZNwxYyKVdqVV7tU7pi3CNym4Oja0CYNBGUydId5pUrV7BaVlRUZGlpqbnhImags7OzhmPv7u4+c+bMu+++u3Tp0tTU1F4/x43NexXfWB/fWP+RqZnanO4jkpmZGT45FBm5KDI8s8RE6M6yVg1yjwHjF2uEUE5ODl37QEQuuhoK/G+//dba2kq5Fd0eb9682dDQsGDBArXldHl49epVhUJx+/bt9vb2f/3rX01NTRKJpKamhrgOsT2kPChiA6imx2zBtu3deVGj4Vg0ZLKGUsQw28mtbu/OqeZmlhwnk4ZdQzNFDqCv2jQAABgu4BFCQM3b29vFxeXAgQMvXrxACCkUCuJvaPr6+nK5nHLNrq6u5ubmn3/+GSFUWlr64MEDW1vbrKyskJAQfHN3d3dyanw+PzIy8ujRo6WlpdbW1h988MHevXtfvHjR44YymSwpKSk4OHj9+vUFBQWVlZUabuWgVFBQEBoaKhAI/Pz8Nm7cmJCQgH9EeeBsNpsuN3q3iWYVFRUXL14MDw+vqalJSUmpra0dM2ZMVVUVeQpV/Ou0QqHgcrmjRo0yNzdPSkrCV+Dz+cbGxvhc+wihlpYWPp/fYwyUSWkedBjWRo0aVVtbi98xV1dXh/UXKXPexcXF1dV13LhxZmZmzB8LHXlGjx5dWlqK/U2eUqq9vf3SpUtXr14NDg6OioravXs3Nq9zWlpaQECAl5cX9vwdJYVCQX7/HY/H4/F4+PMXkZGRXV1dtbW1Fy9exO6KIjYdvQgYk52d/eWXX5qYmDg4OFRUVGCtHPOoGHr+/Dn2h1wuNzAwYLFYKpWKSblSq/Jqn9IV4x6R2xz8I6FQSNmAMGkiKJOlO8z6+np8F3p6enT7xZAzUMOxl5aWqlQqHo/X69qKz9qOPzlInNN9pGptbdVwayG5KDI8s8RENJQu5g0yw4Axt27d2rlz56VLl7D5Ojs7O4m/Lenq6ra3tyOqoquhwOMHSFng1faIS05O3rFjx507d4gL6fIQnzi/ra0N7/C0trbijQC5PSQjNoCas4Vu296dFzUajsXQ0LDHTCaXIobZTtlo9OKcam5myXEy7DDQNVOUR/fqbRoAAAwjMIAFKAQEBBgbG8fFxeH9j7q6O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h7Ow8e/ZsfX39wsLCkydP4s6kHwjc6SkjI4PP5+/cufPGjRt4z8qgq8PYuHHj5s6dGxkZSdfJgsVi+fn5HT9+/OnTp3hKSkoKQmjJkiXffvstMVtbWxufz09JSbGxsaEMYCmeYSwzM9PLy4sIYLFYLAcHByI4pWCu2sXhcFasWDFmzJjXr19L996irFfkJoM63uik2z5lPdfS0qI8bnzyySceHh5qamr37t3Dq5ZBbh107YjL5Z49e9bb21tdXf3ChQsCgeCzzz5jsVjJycl//PGHIjMoXj50JdwVOFz1ja4+Qijqw4heqaiorFq16sKFCw8fPsRT7t+/T/yKg8JsNvvhw4dxcXGoIzuIkoKnDMq1E6djmZ5f5BOf/Domh3RSFhYWU6ZMQQh5e3sHBASQZ3Z1dT158qQCZfw/6ZO3lK41kZc9evTowoULORxOQUHB6dOn8aGV3PbJJUxu4+0eRiZNmpSenn737l08844dO7755httbW3yUnLKkO5YRLfV/edSAQAAQC/r1TGwNDU1169fP3bs2LFjx4aEhGzYsEEoFO7fv//BgwfPnj07dOjQoUOH5D+4trOzi4iIePHixVdfffXZZ58dPnx45MiRPZfhbdu2zZ8/PyQkZMyYMd7e3sR0FRUVFxeX0tLSqVOn9lXeeoeZmRm+7DAyMiouLiYG1+fz+SNGjKCcc+jQoSoqKtOnT4+JidmzZ4+zszM5WcrUJBJJVlbWjBkz1NTU3N3d8/Ly+vxxJYPBaHfDFVyko+lIKy8vLysrCwoKkn67lslkBgcHv3z5MjQ09ObNm2vWrGEwGAihoKCgpqamXbt27d+/X01NTU6yVlZWW7duxbfcWHR0NL5mDQgIuHfv3uTJk/H0SZMm5eXlkYMLrq6uWVlZ2dnZ1tbW+BOiTCYzMDAwLy/vm2++SUhIwN0q5eQWIeTo6BgZGRkVFeXi4mJmZiadhz68JGUwGMHBweXl5Vu3bo2MjDQzM5s7dy7+iVzChoaGJ06cCA0NRQh5enr2VZ77VlVVVWFh4dixYyl/pazDmIGBwcqVK7lcrpw+sBYWFkKhkIgTYWlpaSNGjCB/u1ZZWbmxsbGLGcbS09MNDAwMDAzwv9OnT8/MzCQS71Cu6OCm8eLFi9DQ0EuXLjk4OBA/0dUrmSbTiUZHtH059ZzM1NR02rRpu3fvDg4Opos7yLQO+enb2Njs3r07Li5u2bJlXl5e4eHhXC53wYIFxHhG8mdQvHzoShh0iLm5OYPBIKJXMpycnKKion788UcHBwfcrBTcQZSpKX7KoFs7QohBNSSZzImv3UooB5HU8ePH//zzz//85z+U0StTU9PGxkY5j/ToyGxph1qru7v74cOHw8LCGAyGv78/Oc+UJUxu44ocRh49ekRcLdjb22dmZra1tdEtRVeGdFtHN72fXCoAAADofb0awProo4+qq6tPnjx58uRJgUCQkZFx9epVgUCg4OIqKipfffXV0aNHr1y5UllZKRQKc3JyiA7qly9f9vDwiIuLw+c2Ly+vY8eOXbly5fvvv2ez2cQ8H330UUxMTEJCwrZt26T74FhaWh49evTSpUvr1q2TXqlEIqmoqHj06BFxD4MQcnR0fPny5e3bt2fOnKlI3gYoc3Pz+fPnX7p0CSGkrq4ufYnQ0NAgPSar9JwcDkdPT6+uri40NPTMmTOLFy82MDDQ0tI68V/Ozs50qSUlJc2aNYvL5fr6+iYmJiKEZBbstW1/+/btpk2bmpub5W+44osong6ZRCKJiooqLS3dvn378uXL1dXVEUJjxoxRUVFJSkoSi8X4jmLkyJEmJiZ6enpxcXF1dXV8Pl/68TjZ7du3GxpoR2zJzs42MTHR1NRECNnb2z948EBmBg6HY2lpmZOTU19fz+PxcP87U1NTnCuRSFRYWHjv3j08M2Vu8U/Xr1/Huc3NzSXGIepzZmZmqqqqiYmJQqGwqqqKiAtQlvDFixf5fL5IJHr06JHiccnB5/3797hyIoRCQkJws/Xz80M0dRibNWtWQUGB/Ls7XV3dd+/eyUwUi8VisRhXUUxZWdnCwsLT0zMtLU2RQ4ecDGOtra23bt3y8vJCCCkpKbm5ud28ebOjuZLP1NRUSUkpKSmpoaGhsLAQ92LA6OqVTJPpRKMj2j5dPafU1tamrq6uq6tLNwO5dchP/8aNGyKRKD09vampCXfE5vF4FRUVxMbKn0Hx8qEr4a7A415F1VZH1VZ/rasvM6b7oKSvr19VVUX36/Xr12tra0tKSnJzc0eNGoUU3kGUqXX0lCGzduJ0TE5Z5sTXbiXEKI8n8s+hBFdXV3Ktk0mQMn2ZLaVrTXTLvnnzpr6+/vLly/gb3zJ5pixhchtX5DCSlZVlbm6uoaGBEJoyZUpaWhrlUvLLkG7rOnSMAgAA8CHo+zGwFIe/RHP79m26GSZNmrRmzRrcTwR/1rCiomLLli0LFizA71MghObOnRseHi4SiTZs2LB69er9+/fj6Z6enmFhYWw2e8+ePXfu3Hn27BmezmAwRo8e7e7ufurUKWJFM2fOvHv37sOHD7/44oshQ4a8e/eu3bwNOB4eHvb29vv373/79i1CSCQSSXfnUVdXr6+vp5yztbVVIBBcu3YNIVRQUPDs2TNLS8uUlBTpJ5NOTk7k1NhsdkhIyPHjxwsKCszMzNavX7937963b99SPtLsNXI2vEOLMJnMjqYjramp6erVqzdu3PD39w8NDQ0PDx8yZMiIESNOnDhBzMNms7W0tMrKyhQcT726ulrOr42NjU+ePLG1tX38+LGRkZFMNxOEkJOTE4/Hw1uRlZU1c+bM5ORkDodTXl5OdDQTCAT4UpgytzhmQWRDKBTK7zLWm4YMGVJZWUlsSFVVFd6QYcOGkUvY3t7ewcFh5MiR+vr6Cr4WOigNHTq0oKAA/00eUopch/HbPQkJCd7e3u7u7tKdAWWIRCLyVzJZLBaLxSJe2AwJCWltba2srLxy5Qquru0eOuRnGEtNTf3hhx90dHSsra2Li4vxUU7xXLWLw+EQ375ACAmFQuKJC129kmkyXWl0dPWcUnFx8ZUrV4KCgioqKuLi4qSzjZFbh/z0icG/Gxsbif53DQ0NqqqqisygePnQlXCnEaO2E28OSo/pPlg1NDTI6VpIBHNFIlGHdhBlah09ZZDXTkfmxNduJcQEAgH5eCL/HIqxWKzx48efP39eZjo5QTnp4y2la02UeXvz5g3+o76+XkNDg8Fg4AWl2z65hPPy8mTauCI7oqGhIT8/39bW9p9//tHU1OTxeA4ODpRLydlGuq3r0DEKAADAh6BXA1iZmZkff/zx6tWrEUJaWlofffSRiorKn3/+qWAnLPxJO/y3pqYm8QrDvHnz8B/Xrl0j3nIiTpypqanSL/olJCSUl5cjhP7v//4PjziOXbp0qbq6urq6Ojs7e/To0TiA9f333yOEBAJBRERETk4OnnP48OETJkyIjIysra3Ny8vz8PC4dOlSu3kbWLy9vbW1tSMjI4lbkaqqKuknpYaGhjhERZ7zzZs3qqqqTCYTT5FIJE1NTTLpU6ZmbW1dUVHx5MkThFB+fj6fz58wYYKce9reQbfhHV1EVVW1o+mQ1dfXnzp1KioqavTo0bW1tUVFReHh4dIzWFlZDR06VHqKWCxWUVFRVlbGwQLpOzfK8fWlPXr0aPr06UwmE78RIP0Tk8l0dnbW19eXvkK1tLQUCoXSdzjE+2KUue3Pampqhg0bRlz0Dx06FN8g1dfXy5Swubm5n59fXFxcWVmZpaUl8SbFh8bc3HzUqFHkQKcM6TqMP8QpEAhiYmL+/e9/v3//nu5TAM+fP2ez2dbW1tLvmDs7OxcXFxOhIroIVBcz3NDQgBuCnZ3duXPnOpqrdgmFQukoGFG7FK9XnWh0RNunq+d0x427d+/ev39/7ty5a9euJX9eltw66NLvug6VD2UJd9oUNXWZ6BUxpnujRDKIP0T44sULXV1dKysrRRpaFw+MPXfKaPfE171JTZ06NScnp1vGQ+hQa9LS0sJHoZEjR757944IABF5pithmTauyGEEIfT3339PnTpVV1f30aNHchKXkwjd1vXcMQQAAMAA1auvEAqFwkOHDv3zzz///PNPdHR0TEyMhobGV1995ezsPH78+PXr169fv97a2ppucYFAQFyaC4XCefPmLVq0SHoG6c7tLi4u27ZtO378+Lp166Tf1SLCTO/fv8dPpfC/xNMqgUBAPNPbtm3bkiVLnj9/jofnxDw9PfPz8/FTu/v378+cOZPBYLSbtwGEw+E4ODjExcVJxywKCwslEomXl5eGhoanp2dDQwOfz6ecs6ampqioyM/PT11d3crKytLSknyLSJkan883Nja2sbFRUVEZN26cubl5cXFxL20zCYfD2bt3r7KyMmVWO7GI4umQmZqazpkzh81mq6io2NjYqKqqVldX83g8Npvt5ubGYrGIOXk8npKS0qeffqqpqWlqauro6NjS0lJVVTVz5kz8SfIhQ4bIX5dIJDI0NGQymQih3NxcQ0NDBwcH8vuDVlZWGhoaGzZsCPivzMxMV1dXHo+nr68/Y8YMFotlY2ND3LRQ5laRPPQVHFtZsGCBpqYmh8Px8/PD49mTS5jD4dTX1+O9+QEOr8NkMjkcjpub29q1a+Pj4+kCN5R1mPi1oqLi2LFj//rXv+gGxBEKhYmJiQEBAVOnTtXU1NTT0/P09Jw/f/6FCxd6KMPSbty4MWPGjKampqKiom7PFW4aHh4euMlMmjQJT1e8XnWl0dHVc/nHDT6fT/kGNLl10KXfdR0qH8oS7rRGiST8/TuZzlb3xKLw9+8a/xsmGJTq6+uTkpICAwOdnJx0dHR0dHTc3Nzs7e0pZ+7igbFDpwzKtePTcSeW7V6urq7d9WXtDrUmb29vHR0dDofj7+9PvFYsTX4JE21cwR2Rk5MzZswYW1tbfLXQid1Ht3Vytro/XCoAAADofb19dhcKhcS5XCgUnjt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AAAAAAMMaDGABAAAAAFAyTZnxvoqq7PL3VVSnKTMGP55RZcqUKZ999hmNRut1DkpKSqGhoXp6ev0YFQAAAAAGDQxgATDa0Wi0PXv2aGlpDXUgw0JsbKy6uvrwyQeAAdJtFZW3Qi/qdi+SODs7r169ukdJBocKjbaTre3AYEoudGAwd7K1VfowsPJOIzy+U6ZMWbp0KZPJ3L59u6KiYl+ysrCwOHz4sIWFhbu7+6lTp8RicU8jVFJSCgkJWbNmjZOT082bN6urq+HCNwzJHn15pw4GgxEcHOzr6ztYoQ2I3p3let27+OSTT+bMmdO/Ofd7V4ckww8++ODTTz/tx20BAN5RVLsUYFSZN2+ek5MTm81+/vz52bNna2pqEEJjx4718/MzMjJ69epVfHx8aWmpvDURQnZ2du7u7hwOp7q6OjQ0VHYThLnp6emtXLmSy+W+fPkyISHhxYsXFBNyudzly5dzudzKysq4uLja2trAwEBzc3PJhJmZmYmJiUwmc/Lkyba2to2NjYmJidhHHh4eixYtwv4uLi6OioqSTOju7j537lxVVdXi4uIzZ84IBAJ7e3s/Pz/JdU6ePJmbm0seJOFCioyMjLy8vIyNjdva2jIzM69evUo9bbfEYvHu3buxv93c3IRC4e+//04x7fLly21sbIKCgrq6uvornp7GAIZESEiIoaEhQkgkElVVVeXm5mZlZWHVAP8IIfTixYuvv/4ayanDISEhSUlJxcXFCCFPT08zM7MDBw5s3bqVsPFaWVm5ublxuVyxWFxWVpaSksLj8SSDEYvF9fX1ubm5V65cka2QPQ04JCSETqdLnb40NTX37duXkpKSlpaGLSGJqt9B0xgO7r1tPdBYt01DCyF0SyRECDkwmNs0tA401t172zrU0Q04Q0PDxYsXv/feewoKCiUlJefOnWtsbCRcs7CwcN68efv37798+XJHR0evt8hkMp2cnHbv3r1y5cro6GiRSIR63hY8PDySk5PNzc1ra2vz8vLQ/174+oJ6f0m2LyGZD3kPgbDrQriQfCsYVVXVffv2Xbp0KTs7m3whktMxo96Fo9LzWbx4cWtra0ZGBvVi9/Lyio+P/+CDD6ZMmfL48WPqCQmNhlOrlZVVe3v7u7uP2tratra2R44cIV/Nw8NDIBD0qC4BAN45MIAFCBgYGERHRzc3Ny9atGjlypWRkZE0Gm3Dhg0PHz48fPiwnZ3dpk2bgoOD29vbZddECNnY2Li5uZ0+fbqsrKyzs1M2f3m5+fv75+XlxcTEODg4rF+/fteuXVQSKigoBAQEXLp0qaCgwMnJadOmTaGhodggFIfDCQ0N3bJlC56Ds7Mzi8WqqqoaM2YMvpDFYp2pcoElAAAgAElEQVQ6der27duEpcFkMvft29fZ2bl69epFixb99NNPOTk5OTk52Kfa2tqBgYH3798nD7Kjo4Nwl6kcDiaTGRgYeO7cuZiYGC0tLScnJyqpekdXV/fly5cUV1ZSUrKxsamurrayssrPzx+SGMAQioqKKikpYbPZJiYmXl5eEydO/PHHH/GPsGEpTLd12N7e3traOiIioqOjg7Dxzpkzx8vLKykp6dGjR3Q6fcaMGVu3bj127FhRURG+xSdPnhgYGKxbt66pqenGjRt9CRgzZswYS0vLwsJCfImTk5NQKMT/7Taq/gVNY5jAxq2wMSzsjwONddjCkc3S0tLf3z8tLe3ixYutra3W1taTJk2SvPxJEovFMTExfd+oUCjE8jl48CC+sKdtITk5GSE0EA2Ten9Jti+BZyIvCb4CYdeFcCHJVnALFy6UfQyTcCFCSLZjRr0L1+1+IYR0dXWnTp26b9++HhU7NmB3+fLlHqWSZzScWgsKCgoKCoY6it578+ZNdHR0t6ulpqaGhIQ8ePCgvr5+EKICAAwJGMACBM6ePYv9kZWVZWdnhxAyNDQcM2ZMamqqWCzOyMhwcnIyNTUtLi6WXRMh5OHhcfTo0crKSnn5E+ZWUlJiaGgYFRUlEolu3Ljh7e2tpKQk1dEhTKisrFxTU3Pnzh2E0LVr1+bMmcPlcvl8PuGmr1y5ghBydnaWGsBqamqSXI3D4Wzfvn3nzp0dHR1JSUnYwocPH1pYWEhl6Onpef369fb2djyJvr6+bJACgYCwAMkPxP9j787Dmrj2xoGfBBLCnmBUjIBGUFYrtlQu4AICilIfKQp117dX4GrB24cWq1gVuygW1FKpVrFWUXBB7Yu00r56pRQttSIoyuI1iARlUwkQCGHN74/53XnnzcyECbL7/fwFk5kz3zlzzpmTk5kzGD6fz2az8/Lyuru7a2tr8R9aBQLBmjVrbGxsamtrk5OTsUM2NDRctmyZg4MDm81OSUkpLS2NjY3FRwEiIyOzsrIKCgoSExNTU1OXLl2akZGRlZWVmJgYHR29fv167M6X99577+HDh7dv387OzkYI8Xi8uLi4LVu2qP2W6+zsLJVKCwoKZs6ciQ9giUSiNWvWYKdAIpEYGhqePHmSLtrExMTvv/8+MDDQ1NT05s2b586dw2+de++99/75z38SBwsGmEAgWLZsma2tbUdHx+3bt3/88UesNKrlcF5enoeHh5+fn5mZWVlZ2bFjx9TK0siG3fSUl5cnlUpjYmKuXr1KWfXoyjDGzs7O398/Li6O8mYBhBCPxwsKCjp69Oj9+/exJVlZWQih5cuXb9++HV+tu7tbKpVmZWU5OjpSDmAxDxhz584dX19ffACLx+O5urri34EZRtUjci1AVPWFWDWKi4v/+usvbBh9+/btN27cwHa9b9++L774AiFEWXTVaj0ewIoVK8aNG5eQkEC+TcbKymrJkiVCoZDybg7mdYS8L2NjY3KDIBQK16xZM2nSpGfPnvXfjWx9Ahuu+tjUDCEU/3qMXnE4nHXr1p09exa72iKE8B9yEELYoDCfz//zzz9TUlIQQpQNI2Vpp6ShqGi4TNDVJroaER0drdZiq1WTHpt35v0lDX0Juk3wFSi7LpQLNfdYEEJWVlY2NjaFhYUaFuL9ma6uLnLHbNy4cQy7cJRrqvV8vL29r127pvZYKH72EVXR0nBCyWefrk+CUytOX331FbEA9O2+EH0rp1V9IecJ0YIFC7y9vfX09G7cuIFtQpk4ZUOtOWWGm9BlGlFiYuJ3332HXV9KS0tPnDiBX18oE6TsQJJT6O7u/u2337y8vPpqcBMAMATBHFhAE2tra+w6YWlpWVFRgfcwpFKp2hyo+JqjR4/mcDhz5sw5ePDgnj17PDw8yMlSpqZSqfLz8+fOnaunp+fl5VVcXEy+4FFuyOVy8ceFVCpVc3OzUCjU6jCNjIw2bdr09ddff/DBB8Rt8V8j2Wy2SCRyd3cn9tcRQubm5jY2NsSHB1ksFmWQPWagBtXV1VVVVeHh4cTY2Gx2RETE48ePo6Kirl27FhoaikUbHh7e3t6+a9euAwcO6OnpaUjW3t5+27ZtxO+x+/fvx7o7ISEhN27cePPNN7Hl06dPLy4uJg8uzJo1Kz8/v6CgwMHBQSAQYFGFhYUVFxd//PHHaWlpf/vb3zRHixByc3OLi4uLj4+fOXOmtbU1MYZBHL1isVgRERHV1dXbtm2Li4uztrb29/fHPiLnsIWFRVJSUlRUFELIx8dnsGIeXHV1dWVlZVOmTKH8lLIMY0Qi0dq1axMTEzX8Xjp58uSWlhZ8nAiTm5trbm6OFTwiXV3dtra2VwwYc/v2bZFIJBKJsH/nzJlz584dPHGtotJMrRZQ1hdi1bh3756trS1CyMTExNTU1M7ODiFkbm7e3Nzc0NBAV3QRVa339vaePHnyoUOHKB/y8vLyOnToUHR0NJvNDgoKIn6kVR1R21d3dzf5ALGjfvToUVRU1Pnz511dXbXKQ9DfbGxsWCwWPnqlxt3dPT4+/quvvnJ1dcWqFV3DqFbaKVPTXFQ0XybU0tdQUOkQqwnz5p1Jf4muL/EqPQQyur0ghLhc7tq1a0+fPk18yJpyIUKIxWJRdsyYd+GYHJeDg4PaM4BqjZJa0dJ8QsltKWWfhIhcnPAC0Of70tDKaVVfyNUNJxaLZ8+e/fnnn0dEROADXpSJUzbUGlJmuAnzGodfX1gsVnBwML5cLUENHUjKFAoLC52cnCj3CAAYGWAAC9CysbFZtGjR+fPnEUL6+vrEbmJraytxTlbimkKhUCAQNDU1RUVFnTx5ctmyZSKRyMjIKOk/PDw86FLLyMiYP39+YmLi0qVL09PTEUJMNpRIJGKx+K233tLT03Nzcxs/fryOjo5WR5qQkBAWFrZr167W1tYNGzYghF68eLF582ZsBG369OlHjhyJiYmpqKh4+PAhcUNfX9/r169jfT58E8ogNWegZiqVKj4+/unTpzt27Fi9erW+vj5CaNKkSRwOJyMjQ6lUYt8oxo0bN3HiRIFAkJKS0tTUJJVKyZ1Xot9++621lXbGloKCgokTJxoaGiKEXFxcyM9XCoVCW1vbu3fvyuVyiUSC/fIsFouxqBQKRVlZ2Y0bN7CVKaPFPrpy5QoWbVFRET4P0aCztrbmcrnp6ektLS11dXV4Z5Qyh8+dOyeVShUKxa1bt17nl1s1NDRghRMhFBkZiVVbbNSDsgxj5s+fX1paquGGTYSQqanpy5cv1RYqlUqlUokVUYyuru7kyZN9fHxyc3PVmg5tA8Z0dXVdv37d19cXIaSjo+Pp6UmcWYNhVEyo1QIN9QXz4MEDbNDKyckpOztbLBazWKwpU6YUFRXRFV2MWq2fOnWqj49PQkICXVNw5cqV58+fy+XyCxcuODs7Ez/Sqo6o7YvyAMVisY6OTkZGRmtra1lZmdpEPEMNNu9VfGN9fGP9R6ZmanO6j0hmZmZ1dXV0n165cqWxsbGysrKoqGj8+PGIvmHssc3vsahojlMtfc01ghKxmjBs3pn0lzT0JV6lh6BGw14QQitXrszNzVV7XI68kNgFInfMmHfhejwuDofD4XCI65AbJbWipfmEqp19uj6JZngB6PN9aWjltKov5OqG6+7u1tfXNzU1JS4kJ07XUGtImeEmzGsc8foybdo04nJigpo7kOQU6uvrtf0NCQAwvMAjhICat7e3i4vLgQMHXrx4gRBSKBTEH9L19fXlcjnlml1dXc3NzT///DNCqLS09MGDB7a2tllZWSEhIfjm7u7u5NT4fH5kZOTRo0dLS0utra0/+OCDvXv3vnjxoscNZTJZUlJScHDw+vXrCwoKKisrtX30HfuVTyaTJScnYy9AIT4mUFBQEBoaKhAI/Pz8Nm7ciD+Ez+Px3nrrrW3btqmlRplXbDabLgOZaG9vv3Tp0tWrV4ODg6Oionbv3j1q1Chzc/OkpCR8HT6fb2RkVFVVxXA+9fr6eg2ftrW1FRYWvvHGG/fu3bO0tFS7zQQh5O7uLpFIsKPIz8+fN29eZmamUCisrq7Gf25tbm7GelGU0WJjFngYLS0tmm8ZG0ijRo2qra3FD6Surg47kDFjxpBz2MXFxdXVddy4cWZmZgwfCx2RRo8eXVpaiv1NnlKKXIaxepeWlhYQEODl5UW8LUiNQqEgvyyMx+PxeDy8qkZGRnZ1ddXW1l68eBErrsSmoxcBY7Kzs7/88ksTExMHB4eKigqslWMeFUNqtUBDfcHU1dV1dnaOGTPGyckpMzPT2trawsLCzs7uxo0bdEVXbUeYwMDAzMzMhoYGusCeP3+O/SGXyw0MDLA7MrAlWtURtX1RHqCxsTH+GhAsK/h8vqZcGzz4rO34k4PEOd1HqtbWVg1fC/HBXIVCweVyEX3D2GOb32NR0TzeTa5NGmqE5hQ0HAURw/4SXV9Cwya9oGEv8+bN43K5avNbUy7EUXbMKKNlviYxfbURLkTVKKkVLYZNHHb26fokmuGJ9Pm+hEIhXSunVX0hVzdcRUXFxYsXw8PDa2pqUlJSsN2RE6drqDWkzHAT5jWO7vpCTpCuEaBLob29ncvltre3U+4XADDcwQAWoBAQEGBsbBwXF4dfqOrq6oi/lFpYWGBDVOQ1nz9/zuVy2Ww2tkSlUpEvIZSpOTg41NTUYFMwlJSUSKXSqVOnqn2npQujsLAQ29DQ0HDXrl0VFRW9O3BdXV0Wi0UOWKVS1dfXX758OT4+Hj80Z2fnsrIy8oN1lEFyuVzKyLUil8uPHz8eHx8/YcKExsbG8vLy3bt3E1ewt7cfPXo0cYlSqeRwOLq6uthgAfELIeX8+kS3bt2aM2cOm82+c+eOWpeFzWZ7eHiYmZkRuxS2trYtLS3Ebzj482KU0Q5lMplszJgxeGdo9OjRWI9KLper5bCNjU1QUFBKSkpVVZWtrS3+3OXrxsbGZvz48eSBTjXEMoy9jqq5ufngwYOffPJJQ0MD3asAHj58yOfzHRwciHMwe3h4VFRU4ENFdCNQrxhwa2srVhGcnZ1Pnz6tbVS9w6S+PHjwwN7eXiQSVVZWlpSU2NraTpw48fjx45MmTaIsuhi1Wv/DDz+sX7++oqLi0aNHlHvB5wccN27cy5cvifPUMK8j5H1RHqCTkxNxQJAykaHgbT19tdErfE73NpVqBL+I8NGjR6ampvb29kwq2qs0jD0WFa3QFVQN8GrC5CiY95cQTV9C8ya9QLeX+fPnm5iYuLi4YP+6u7uLRKIZM2aQF+KPnlF2zCorKxl24SjXJIba2trK4/GIS3pslLQ6oXR9Es3wAtDn+2ppaaFs5fq2I5GTk3Pz5k1/f/8NGzbExMRQJk7XUGvAcBPmmabh+kKkoRGgS0FPTw9GrwAYweARQqBOKBS6urqmpKQQxyzKyspUKpWvr6+BgYGPj09ra6tUKqVcUyaTlZeXBwUF6evr29vb29rakr8iUqYmlUqtrKwcHR05HI6dnZ2NjQ15HIpyQ+wjFotlbm4eFhZ2/fp1hm/3w61cuVIgEJiYmKxcufLBgwdKpVIoFO7du1dXV3fChAl+fn4mJiaGhoYLFy589OgRfrDTp08nTtyAb0IZpIbIeyQWixcuXMjn8zkcjqOjI5fLra+vl0gkfD7f09OT2PmTSCQ6OjrvvvuuoaGhWCx2c3Pr7Oysq6ubN28ej8fz9PQcNWqU5n0pFAoLCws2m40QKioqsrCwcHV1JT8/aG9vb2BgsGnTppD/uHPnzqxZsyQSiZmZ2dy5c3k8nqOjI94Jo4yWSQyDBRtbWbx4saGhoVAoDAoKwuazJ+ewUCiUy+XY2XwNZ+1hs9lCodDT03PDhg2pqal0AzeUZRj/tKam5siRI++//z7dhDgtLS3p6ekhISEzZswwNDQUCAQ+Pj6LFi06e/ZsPwVMdPXq1blz57a3t5eXl/dTVGro6ota9fTy8nr8+DFCqLi42M3Nrba2trOzk67oUpJKpT/88MMHH3yAz/OlJiAgwMTERCgUBgcHqz0Rw7yOkPdF13zx+Xxvb2+s9Zg+fXqvMq/ftalUuxteqt1sdUOp2N3wso3mC9jIIJfLMzIywsLC3N3dTUxMTExMPD098YEPNa/SMPZYVJA2lwmtaoS2R8G8v0TZl9DcbcA/ZRgtQkjzXj766CP8kv3HH38kJyefO3eOciG+CWXHjHkXrseeD9ZbI57cHhslrU4oXZ9EDV1x6vN90bVy/dGRkEqlWOGhTJyuodaA4SbMM03D9UVtv3QdSMoUBAJBY2Njj4cDABi+BvMOLBaLZW9vP2HChO7u7qysLBgsHyJEIpFQKDxy5Ai+5NChQ9h760JCQgIDA588eYLdd0O35rFjx9avX79///6qqqojR46QvyKqVCpyak+fPj158mRwcDD2c82ZM2ew72Y9bogQioqKEovFzc3N2dnZmZmZ2h6yqanpZ5991t7efv/+/ePHj2MLWSwWi8VqaGhwcHDw9/fv6OgoKioi3nA0adIktX1hm1AGSRc5E3V1db6+vrt27dLR0Xn69OmhQ4ewZyQTExNXrFgRHBzc3t6en5+fnJzc0dGRkJCwYsWK2NjYxsbG5ORkhNCpU6fWrl27cOHC7OxsrGOhwc2bNyMiIvbt27d161alUnn37l1bW9vKykq11WbOnJmTk0OcN+fnn3+Ojo5OTU399ttvV65cuWTJkvv37//xxx/YHEOdnZ3kaBnGwDyj+lBXV1dCQsLKlStjY2Obm5tzcnKwJyzIOVxRUTFjxozdu3c/e/YsLy9P86TgI0xkZKRKpVIoFBKJ5PDhw8QXKkVGRuJ/h4WF0ZVhXGlp6dmzZyMiImJjY2tqasj7+uWXX2Qy2fz589etW9fV1SWRSL7++usnT570U8DEr6P19fXFxcXEV+n1bVRkdPWFWDVKS0vHjBmDTTTz9OlTPp+PvU2CrujSuXfv3k8//fThhx/u2bOH/PD1gwcPduzYwWKx/vrrr19++YX4EfM6Qrkv8gEqlcrDhw+vWLFiyZIlhYWF2dnZ2r6OY2AUtlM3SiP43itcZmamTCbz9fVdvXp1c3PzvXv36F71VVBQ8CoNo+aigrS5TGhbI7Q6Cub9Jbq+hIZuA/4pw2h73AvzdPBN6DpmzLtwPfZ8iouLHR0d79y5gy8hnn3y+lqdUKVSSdknUUMsTv26L7pW7hXrC5GDg0NoaKienl51dfWJEyfoEtfQUNNhuAnzTHvw4MH27dvZbDb5+kKkoQNJmcLUqVPVXgsAABhhWIM15TCLxcJfxYoQOnjwIOWXFuYMDAx27dr1+PHjw4cP91GMwwB2Q01zc3PvNjcyMlJ7xB0MLqVSyeQepQGzevXq6upq5t19NX//+98rKip6vXm/GmpZPWRBRvUVyMnhAs4U5AAYMCKRaM2aNbGxsQOwr4Hskwzl/s9QkJiYGB0d/SqP21OmwGKxtm/f/u233/b4pDAAoF8plUpsikPiKxow9+7dQwgZGRn1egRj0O7AsrGxsbGxqaqqGjdu3IEDB2QymaWl5YsXLzS8Fg0jFotXrlzp5OTEZrMLCwsPHTqEPYqydu3agwcPenl5vfXWW8RfcgAAvWNra+vs7Ez3A7tmPB5v+vTp06ZNu3DhQp8HBgDoc2o3RyQnJw/x9wCCoY/P53/wwQdffvnlYAcChq6qqqqSkhLN7/F4dQPZJ4H+zyDy9/fPzc2F0SsARrZBG8AaP378v//976ampqamJuyeZ2z6oTNnzmjYavr06Z988klaWlpSUlJLS4ubm5uDgwP22DN249XJkycH6AAAGNHCwsKsra2PHz9OnqVes6ioqAkTJqhUqqdPn37zzTcwEwEAw0KPL20EQFsNDQ0wegV6hD0K3U8Gsk8C/Z9B99NPPw12CACAfjdojxAuX7589OjR6enpoaGh2OtOW1paCgoKNExgxOFwjh079sMPP/z2229qH40aNSosLGzq1Knt7e05OTknT57EJoa8cOHCvn371q1bx+fzr127hv3CbGVlFRERYWNjI5FISkpKjIyMvvnmG7UEjY2NQ0NDp0+fzmazDx06VFhYePz48aVLl2KffvHFFz/99NOff/7ZhxnSO/AI4QgDD24MGMhqhiCj+grk5HABZwpyAAAAAAC91q+PEA7Oe76cnJzs7OyuX79eUVHx+eefnzt37syZMywWi/zWOSJHR0cWi0UevWKz2Tt37qysrAwJCdm6daudnd2yZcvwT+fOnbtly5atW7f6+vra29uz2ewtW7bcvXt31apVx48f9/T0pNzX9u3b29rawsPDP/30U+jGAQAAAAAAAAAAAAyiQXiE0MnJKSgoKC0t7cGDB9OnT1+6dGlhYeGUKVOw+6E0bDh69Ojq6mrycltbWz09vdOnT6tUqubm5u+//z4qKurUqVPYp+fPn5fJZDKZrKCgQCwWI4Q4HE5qaqpKpSopKbl69apAIFBLcPLkyUKhcOvWrV1dXQ0NDY8fPzYxMemjowcAAAAAAAAAAAAA2hnoASzi6JWTk1NgYGBtbW1tbW1+fr5EIlGpVBq2bWlpwZ6YUzN27Niqqip825qaGjMzM/zTFy9eYH/I5XIejzd27NinT5/iKzc1NZEHsEQikVQq7erq6vV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alt="Monitoring ▸ Sự kiện bảo mật"></div>
+<p class="rg"><b>Trên</b>: 4 thẻ KPI · <b>Giữa</b>: ô tìm + nút ✨AI, lọc Agent/Hành động/Thời gian · <b>Dưới</b>: bảng cột Hành động dạng badge màu (thay cho ✕/✓ luôn giống nhau) + phân trang, nhấp dòng mở panel chi tiết bên phải.</p>
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="ttl">Monitoring</div><div class="r tb"><div class="tab">Tổng quan</div><div class="tab on">Bảo mật</div><div class="tab">MCP</div><div class="tab">Hành động</div><div class="tab">Agent</div><div class="tab">Agents Admin</div><div class="tab">Công cụ</div><div class="tab">Icon</div></div><div class="c grow"><div class="r tb"><div class="ttl">Sự kiện bảo mật</div><div class="grow"></div><div class="btn">⭳ Xuất CSV</div><div class="btn pri">⟳ Làm mới</div></div><div class="r"><div class="kpi2"><div class="ic blue">▦</div><div><b>1.247</b><span class="s">Tổng sự kiện · +12.3%</span></div></div><div class="kpi2"><div class="ic grn">◔</div><div><b>84</b><span class="s">Hôm nay · -8.1%</span></div></div><div class="kpi2"><div class="ic red">⛔</div><div><b>23</b><span class="s">Chặn lệnh · +3 mới</span></div></div><div class="kpi2"><div class="ic pur">🛡</div><div><b>156</b><span class="s">Chặn prompt · 12.5%</span></div></div></div><div class="r tb"><div class="srchwrap grow"><input class="inp" id="s10q" placeholder="🔍 Gõ câu hỏi hoặc từ khoá…"><span class="pill teal aibtn" id="s10ai">✨ AI</span></div><select class="btn" id="s10agent"><option value="">Agent</option><option>Security Agent</option><option>Cowork Agent</option><option value="schedule">schedule</option><option value="graphrag">graphrag</option><option>Code Agent</option></select><select class="btn" id="s10action"><option value="">Hành động</option><option value="dangerous_command">Lệnh nguy hiểm</option><option value="path_outside_sandbox">Path ngoài sandbox</option><option value="network_blocked">Mạng bị chặn</option><option value="secret_in_output">Tiết lộ bí mật</option></select><select class="btn" id="s10date"><option value="">Thời gian</option><option value="today">Hôm nay</option><option value="week">Tuần này</option><option value="month">Tháng này</option></select><div class="btn" id="s10clear">✕ Xoá lọc</div></div><div class="tblwrap grow"><table class="evtbl"><thead><tr><th>☐</th><th>Thời gian</th><th>Agent</th><th>Tài khoản</th><th>Máy</th><th>Hành động</th><th>Chi tiết chặn</th></tr></thead><tbody id="s10tb"></tbody></table></div><div class="r tb"><div class="s" id="s10count">Hiển thị 24 / 24 sự kiện</div><div class="grow"></div><div class="btn">‹</div><div class="btn pri">1</div><div class="btn">›</div></div></div></div><div class="c pane overlay hide" id="s10detail"></div><div class="dock fab" title="AI Assistant — trợ lý cách dùng app"><span class="spark">✨</span></div></div>
+<script>
+(function(){
+  var events=[
+    {time:'2026-08-11T17:29:00',agent:'Security Agent',account:'local',machine:'DESKTOP-DEMO',action:'dangerous_command',actionLabel:'Lệnh nguy hiểm',detail:'Chặn lệnh: rm -rf / --no-preserve-root'},
+    {time:'2026-08-11T12:01:00',agent:'Cowork Agent',account:'local',machine:'DESKTOP-DEMO',action:'dangerous_command',actionLabel:'Lệnh nguy hiểm',detail:'Chặn lệnh: rm -rf / --no-preserve-root'},
+    {time:'2026-08-11T11:01:00',agent:'Security Agent',account:'local',machine:'DESKTOP-DEMO',action:'dangerous_command',actionLabel:'Lệnh nguy hiểm',detail:'Chặn lệnh: rm -rf / --no-preserve-root'},
+    {time:'2026-08-11T06:05:00',agent:'schedule',account:'local',machine:'DESKTOP-DEMO',action:'dangerous_command',actionLabel:'Lệnh nguy hiểm',detail:'Chặn lệnh: rm -rf / --no-preserve-root'},
+    {time:'2026-08-10T19:42:00',agent:'Security Agent',account:'local',machine:'DESKTOP-DEMO',action:'path_outside_sandbox',actionLabel:'Path ngoài sandbox',detail:'Chặn đọc C:\\Users\\NamPDT\\Documents\\personal.xlsx'},
+    {time:'2026-08-10T17:18:00',agent:'graphrag',account:'local',machine:'DESKTOP-DEMO',action:'dangerous_command',actionLabel:'Lệnh nguy hiểm',detail:'Chặn lệnh: rm -rf / --no-preserve-root'},
+    {time:'2026-08-10T11:53:00',agent:'Security Agent',account:'local',machine:'DESKTOP-DEMO',action:'path_outside_sandbox',actionLabel:'Path ngoài sandbox',detail:'Chặn đọc C:\\Users\\NamPDT\\Documents\\personal.xlsx'},
+    {time:'2026-08-10T15:47:00',agent:'graphrag',account:'local',machine:'DESKTOP-DEMO',action:'network_blocked',actionLabel:'Mạng bị chặn',detail:'Chặn kết nối ra 203.0.113.44:8080'},
+    {time:'2026-08-10T08:00:00',agent:'Security Agent',account:'local',machine:'DESKTOP-DEMO',action:'dangerous_command',actionLabel:'Lệnh nguy hiểm',detail:'Chặn lệnh: rm -rf / --no-preserve-root'},
+    {time:'2026-08-09T19:37:00',agent:'graphrag',account:'local',machine:'DESKTOP-DEMO',action:'network_blocked',actionLabel:'Mạng bị chặn',detail:'Chặn kết nối ra 203.0.113.44:8080'},
+    {time:'2026-08-09T14:53:00',agent:'Code Agent',account:'local',machine:'DESKTOP-DEMO',action:'secret_in_output',actionLabel:'Tiết lộ bí mật',detail:'Phát hiện chuỗi giống API key trong đầu ra, đã che'},
+    {time:'2026-08-09T13:00:00',agent:'schedule',account:'local',machine:'DESKTOP-DEMO',action:'path_outside_sandbox',actionLabel:'Path ngoài sandbox',detail:'Chặn đọc C:\\Users\\NamPDT\\Documents\\personal.xlsx'},
+    {time:'2026-08-08T14:41:00',agent:'graphrag',account:'local',machine:'DESKTOP-DEMO',action:'secret_in_output',actionLabel:'Tiết lộ bí mật',detail:'Phát hiện chuỗi giống API key trong đầu ra, đã che'},
+    {time:'2026-08-08T11:38:00',agent:'schedule',account:'local',machine:'DESKTOP-DEMO',action:'path_outside_sandbox',actionLabel:'Path ngoài sandbox',detail:'Chặn đọc C:\\Users\\NamPDT\\Documents\\personal.xlsx'},
+    {time:'2026-08-07T12:50:00',agent:'Code Agent',account:'local',machine:'DESKTOP-DEMO',action:'network_blocked',actionLabel:'Mạng bị chặn',detail:'Chặn kết nối ra 203.0.113.44:8080'},
+    {time:'2026-08-07T08:45:00',agent:'graphrag',account:'local',machine:'DESKTOP-DEMO',action:'secret_in_output',actionLabel:'Tiết lộ bí mật',detail:'Phát hiện chuỗi giống API key trong đầu ra, đã che'},
+    {time:'2026-08-06T10:07:00',agent:'Cowork Agent',account:'local',machine:'DESKTOP-DEMO',action:'path_outside_sandbox',actionLabel:'Path ngoài sandbox',detail:'Chặn đọc C:\\Users\\NamPDT\\Documents\\personal.xlsx'},
+    {time:'2026-08-06T11:15:00',agent:'Security Agent',account:'local',machine:'DESKTOP-DEMO',action:'secret_in_output',actionLabel:'Tiết lộ bí mật',detail:'Phát hiện chuỗi giống API key trong đầu ra, đã che'},
+    {time:'2026-08-05T11:00:00',agent:'Security Agent',account:'local',machine:'DESKTOP-DEMO',action:'network_blocked',actionLabel:'Mạng bị chặn',detail:'Chặn kết nối ra 203.0.113.44:8080'},
+    {time:'2026-08-05T17:16:00',agent:'Security Agent',account:'local',machine:'DESKTOP-DEMO',action:'path_outside_sandbox',actionLabel:'Path ngoài sandbox',detail:'Chặn đọc C:\\Users\\NamPDT\\Documents\\personal.xlsx'},
+    {time:'2026-08-05T09:07:00',agent:'Cowork Agent',account:'local',machine:'DESKTOP-DEMO',action:'dangerous_command',actionLabel:'Lệnh nguy hiểm',detail:'Chặn lệnh: rm -rf / --no-preserve-root'},
+    {time:'2026-08-04T15:46:00',agent:'schedule',account:'local',machine:'DESKTOP-DEMO',action:'dangerous_command',actionLabel:'Lệnh nguy hiểm',detail:'Chặn lệnh: rm -rf / --no-preserve-root'},
+    {time:'2026-08-04T10:13:00',agent:'Security Agent',account:'local',machine:'DESKTOP-DEMO',action:'path_outside_sandbox',actionLabel:'Path ngoài sandbox',detail:'Chặn đọc C:\\Users\\NamPDT\\Documents\\personal.xlsx'},
+    {time:'2026-08-03T11:45:00',agent:'graphrag',account:'local',machine:'DESKTOP-DEMO',action:'secret_in_output',actionLabel:'Tiết lộ bí mật',detail:'Phát hiện chuỗi giống API key trong đầu ra, đã che'}
+  ];
+  function pad(n){return String(n).padStart(2,'0');}
+  function fmt(iso){var d=new Date(iso);return pad(d.getDate())+'/'+pad(d.getMonth()+1)+' '+pad(d.getHours())+':'+pad(d.getMinutes());}
+  function fmtFull(iso){var d=new Date(iso);return pad(d.getDate())+'/'+pad(d.getMonth()+1)+'/'+d.getFullYear()+' · '+pad(d.getHours())+':'+pad(d.getMinutes())+':'+pad(d.getSeconds());}
+  function ini(n){return n.split(' ').map(function(w){return w[0];}).join('').substring(0,2).toUpperCase();}
+  function ac(n){if(n.indexOf('Security')>=0)return 'red';if(n.indexOf('Cowork')>=0)return 'blue';if(n==='schedule')return 'amb';if(n==='graphrag')return 'pur';if(n.indexOf('Code')>=0)return 'grn';return 'blue';}
+  function pcls(a){return ({dangerous_command:'red',path_outside_sandbox:'grn',network_blocked:'teal',secret_in_output:'org'})[a]||'red';}
+  function statusInfo(a){return ({
+    dangerous_command:{cls:'pur',icon:'⊗',label:'Đã chặn'},
+    path_outside_sandbox:{cls:'grn',icon:'▤',label:'Path chặn'},
+    network_blocked:{cls:'teal',icon:'⦿',label:'Mạng chặn'},
+    secret_in_output:{cls:'org',icon:'🔒',label:'Bí mật lộ'}
+  })[a]||{cls:'pur',icon:'⊗',label:'Đã chặn'};}
+  var maxTs=events.reduce(function(m,e){return Math.max(m,new Date(e.time).getTime());},0);
+  function render(list){
+    var tb=document.getElementById('s10tb');
+    tb.innerHTML=list.map(function(ev,i){
+      return '<tr data-i="'+i+'"><td>☐</td><td>'+fmt(ev.time)+'</td>'+
+        '<td><span class="av '+ac(ev.agent)+'">'+ini(ev.agent)+'</span>'+ev.agent+'</td>'+
+        '<td>'+ev.account+'</td><td>'+ev.machine+'</td>'+
+        '<td><span class="pill '+pcls(ev.action)+'">'+ev.actionLabel+'</span></td>'+
+        '<td class="dt">'+ev.detail+'</td></tr>';
+    }).join('');
+    Array.prototype.forEach.call(tb.querySelectorAll('tr'),function(tr){
+      tr.addEventListener('click',function(e){e.stopPropagation();openDetail(list[+tr.dataset.i],+tr.dataset.i);});
+    });
+    document.getElementById('s10count').textContent='Hiển thị '+list.length+' / '+events.length+' sự kiện';
+  }
+  function openDetail(ev,index){
+    var d=document.getElementById('s10detail');
+    d.classList.remove('hide');
+    var st=statusInfo(ev.action);
+    var sev=ev.action==='dangerous_command'?{t:'CRITICAL',c:'red'}:{t:'MEDIUM',c:'amb'};
+    var evtId='evt_'+ev.time.replace(/[^0-9]/g,'').substring(0,12)+'_'+String(index).padStart(3,'0');
+    d.innerHTML=
+      '<div class="hd2 row">Chi tiết sự kiện<span class="pchev" id="s10close">✕</span></div>'+
+      '<div class="dtl grow">'+
+        '<div class="hd3">THÔNG TIN CHUNG</div>'+
+        '<div class="fld"><span class="lbl">Thời gian</span><span class="val">'+fmtFull(ev.time)+'</span></div>'+
+        '<div class="fld"><span class="lbl">Agent</span><span class="val"><span class="pill '+ac(ev.agent)+'">'+ini(ev.agent)+' '+ev.agent+'</span></span></div>'+
+        '<div class="fld"><span class="lbl">Tài khoản</span><span class="val">'+ev.account+'</span></div>'+
+        '<div class="fld"><span class="lbl">Máy</span><span class="val"><span class="mono">'+ev.machine+'</span></span></div>'+
+        '<div class="hd3">HÀNH ĐỘNG</div>'+
+        '<div class="fld"><span class="lbl">Loại</span><span class="val"><span class="tagn">'+ev.actionLabel+'</span></span></div>'+
+        '<div class="fld"><span class="lbl">Trạng thái</span><span class="val"><span class="pill '+st.cls+'">'+st.icon+' '+st.label+'</span></span></div>'+
+        '<div class="hd3">CHI TIẾT CHẶN</div>'+
+        '<div class="code"><span>'+ev.detail+'</span><span class="cpy" id="s10copy">📋 Copy</span></div>'+
+        '<div class="hd3">METADATA</div>'+
+        '<div class="fld"><span class="lbl">Event ID</span><span class="val mono">'+evtId+'</span></div>'+
+        '<div class="fld"><span class="lbl">Policy</span><span class="val">security_policy_v2</span></div>'+
+        '<div class="fld"><span class="lbl">Severity</span><span class="val"><span class="pill '+sev.c+'">'+sev.t+'</span></span></div>'+
+      '</div>'+
+      '<div class="r tb pnlfoot"><div class="btn pri grow" id="s10closebtn">⭳ Đóng</div></div>';
+    document.getElementById('s10close').addEventListener('click',function(e){e.stopPropagation();closeDetail();});
+    document.getElementById('s10closebtn').addEventListener('click',function(e){e.stopPropagation();closeDetail();});
+    document.getElementById('s10copy').addEventListener('click',function(e){
+      e.stopPropagation();
+      var text=ev.detail;
+      if(navigator.clipboard&&navigator.clipboard.writeText){navigator.clipboard.writeText(text).catch(function(){});}
+      var btn=document.getElementById('s10copy');
+      btn.textContent='✓ Copied';
+      setTimeout(function(){if(document.getElementById('s10copy'))document.getElementById('s10copy').textContent='📋 Copy';},1500);
+    });
+  }
+  function closeDetail(){
+    var d=document.getElementById('s10detail');
+    d.classList.add('hide');
+    d.innerHTML='';
+  }
+  document.addEventListener('click',function(e){
+    var d=document.getElementById('s10detail');
+    if(d.classList.contains('hide'))return;
+    if(d.contains(e.target))return;
+    closeDetail();
+  });
+  function inRange(ev,bucket){
+    if(!bucket)return true;
+    var t=new Date(ev.time).getTime();
+    var day=86400000;
+    if(bucket==='today')return maxTs-t<day;
+    if(bucket==='week')return maxTs-t<7*day;
+    if(bucket==='month')return maxTs-t<31*day;
+    return true;
+  }
+  function apply(){
+    var ag=document.getElementById('s10agent').value;
+    var act=document.getElementById('s10action').value;
+    var dt=document.getElementById('s10date').value;
+    var q=document.getElementById('s10q').value.trim().toLowerCase();
+    var list=events.filter(function(ev){
+      if(ag&&ev.agent!==ag)return false;
+      if(act&&ev.action!==act)return false;
+      if(!inRange(ev,dt))return false;
+      if(q&&!(ev.agent.toLowerCase().indexOf(q)>=0||ev.actionLabel.toLowerCase().indexOf(q)>=0||ev.detail.toLowerCase().indexOf(q)>=0))return false;
+      return true;
+    });
+    render(list);
+  }
+  document.getElementById('s10agent').addEventListener('change',apply);
+  document.getElementById('s10action').addEventListener('change',apply);
+  document.getElementById('s10date').addEventListener('change',apply);
+  document.getElementById('s10q').addEventListener('input',apply);
+  document.getElementById('s10ai').addEventListener('click',apply);
+  document.getElementById('s10clear').addEventListener('click',function(){
+    document.getElementById('s10agent').value='';
+    document.getElementById('s10action').value='';
+    document.getElementById('s10date').value='';
+    document.getElementById('s10q').value='';
+    render(events);
+  });
+  render(events);
+})();
+</script>
+
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Dải tab Monitoring bị ẩn sau accordion — không thấy 7 màn Giám sát còn lại từ đây.</li><li><b>Cột "Kết quả"</b> (✓/✕) trong bảng thật luôn hiện ✕ vì <code>audit_log.record("security_block",…)</code> luôn truyền <code>ok=False</code> — dư thừa, không phân biệt được gì.</li><li>KPI · lọc Agent/Hành động/Thời gian · phân trang · panel chi tiết đều là <b>tính năng mới</b>: bản thật hiện chỉ có 1 ô tìm + nút ✨AI + bảng cuộn (xem <code>ui/monitoring_tab.py:_wrap_with_filter</code>).</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Bỏ ẩn dải tab Monitoring (8 mục ngang hàng) — không đổi accordion nav rail.</li><li>Bỏ cột Kết quả luôn-giống-nhau; thay bằng cột <b>Hành động</b> dạng badge màu theo <code>name</code> thật (prompt/run_command/install_package).</li><li><span class="bad">Vượt phạm vi "chỉ sắp xếp lại"</span>: 4 thẻ KPI, 3 dropdown lọc, phân trang và panel chi tiết trượt — cần bổ sung logic đếm/lọc/phân trang ở <code>ui/monitoring_tab.py</code> trước khi hiện thực, và 2/4 loại "Hành động" (path ngoài sandbox, mạng chặn) chưa có nguồn ghi log thật.</li></ul></div>
+</div></div></section><section class="sec" id="monitoring-lịch-sử-gọi-mcp">
+<div class="hd"><b>11. Monitoring ▸ Lịch sử gọi MCP</b><span class="tag">ui/monitoring_tab.py:132</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Mọi lần agent gọi MCP server ngoài.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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y4ElPRUVFcrk8Njb20qVLtAcGn89ns9lFRUW9vb1NTU1asxumTp0aFBSUkJCAJ1RS8Xi80NDQI0eO3L59Gy/Jy8tDCK1Zs2bXrl1kst7eXrlcnpeX5+7uTjuApX/AWHFxcUBAADmAxePxvLy8yMEpPaPSLTIy8le/+hVCKDg4OCIiIiUlZceOHZqHEG2902oQ/u///q+kpCQ/Px9HlZCQ8P777y9YsEAzDTkp9e23337vvfeMjIyo2aakpJw6dSo4ONjY2PjMmTMKheI3v/kNj8e7ePHiP/7xD9r4yYC1QtLanOaoH2JogjRzS0lJSU9PX7lyZU5OTl5eHm0haNXEBQsWaO0gbf3VzNnDw4NabkwHIS3Cg4dknSzFf6f7javRK6bvUf/Gk3pqw+bPn3/s2DHEfIDp2MqAUbsHmIODg1gsLisrw29ZLJa9vX1SUpJarc7NzQ0NDeVwOFqb1l2VmM62tKd1AAAAAGiCASygi4uLC75UsLe3r62tJYh/98flcrmtra3m+AuZcsKECRwOx8/Pz8fHR6FQnD9/npysRNKdm62trVgs/vLLL5miYrPZtra2Pj4+3377rT6x6cblcsm7jQiCUCgUQqEQ7wv5i6vWFknUUHHXlhpPZ2fngIN0cnJasGDBRx991NraSi7csmVLfX39nj17+Hw+efeTj49PYmKihYVFTEzMjRs3ZDJZdHR0aWnp4cOHPTw8IiMjd+3axWKxoqOji4qKDh06JBKJNm3aRF5+68Bms6lZkbsz9uBSKisrS01NNTU1/d3vfhcUFPT3v/8d0ZW8nZ3d0aNHHz9+/M477/j7+589e3a4wx8Gzc3N1dXVU6ZMoR0PamhoqK+v37JlS3p6+uPHjzU/EolE/v7++/fvb2lpYcp88uTJSqVS60AtLCxcu3atQCDQWtHQ0PD58+eDDBi7ceNGRESESCTCw/F+fn7FxcUcDmcAUTE5cuRIS0uLSqXSalsw2nrn6Oio1SAUFhZ6e3vjgZhZs2ZVVFTY2NhopUlKSgoPD3/48OHly5fZbPYf/vAH2urs7u7+0Ucfubu7r1+//pdfftm7d6+NjY1UKi0sLNQxMkttozQ3R7tTfTZB06ZN27lzZ0dHB1Pjo1UTNbfIYrH+8Ic/0NZfzZw7Ojq0yq1fo1cIIcLaAHlYoL+14TGscTV6xfQ96t940p7aEEJOTk7Pnz/X/A2MmlLHVvrk4uKi/y38XC43PDz8+PHjixcvxksIgigpKXnjjTe+//77efPmVVRU0A6c6ahK1BucMdrTOgAAAAA0wUPcASOxWLx8+fKvv/4aIWRsbKz5E3pHR4ehoSFtSqFQKBAI2traYmJiTp48uXr1apFIZGZmdvQ/fH19decWEBCQm5uLe3haKyKEZs2adfjw4djY2Nra2rt37/YZW59kMpmTk9OcOXOMjIy8vb0nTZpkYGDw+PHj7du3414pdYu0oZKr0MYzmCB7e3uNjY0tLS3JJY6OjgKBIC0tra2tTS6Xk0OEFy5caG1traurKy8vnzRpkrOzM4fDycnJUavVeIrZxIkTnZycDAwMcnJyOjo6qqur8RM9+kSblZ7xj0YuLi5cLjc7O1upVDY3N2dmZr7++uuIoeQzMjLkcrlKpfrpp59sbW2HO/Zh8+zZM2NjY/xaKpXiahsaGooQIggiMTHxwYMHu3fvDgsLI5MhhJYsWVJVVaVjwiZCyNLS8smTJ1oL1Wq1Wq02NTUllxgaGk6ePNnf37+wsJDadPQrYKynpyc3NzcgIAAhZGBgsHDhQs3hGD2jGgzaekdtEEpLSx0dHfFGPT09r127Rk3TZ7b4o0uXLqlUqhs3bnR2dv7zn/9sa2uTyWSNjY26D2zdm9OiZxP0ww8/dHR0MEXL1AZiTPVXK2dquekTvyZ2rhI1dBMrLQgz9rgavULM36P+jSfTYTN//nyto4KaUvdXrJtYLPby8tIz8bp16woLC7VuTc3JyVmyZElKSsrKlStQ9EawAAAgAElEQVSzs7NpV+xvVdJ9SAMAAAAAgxlYgJ5EIvH09Pz000/xdAmVSmVkZER+amxs3N7eTpuyp6dHoVDg2QRVVVV37txxdXXNy8uLiIggV/fx8WHKjcfjzZkzZ+fOnfitQqHQXBEhVFpaGhkZKRAIAgMDN2/enJycrCM2fbS0tBw9enTVqlUbN24sLS2tq6vTmjpB3SJtqCTaeNhs9oCDrK2tzcrK2rJlS2NjY1paWlNTk42NTX19PfVXXPJyWqVScblca2trW1vbo0ePkgn4fL65uTn5rH2EkFKp5PP5fcZAm5XuQYdRzdrauqmpiZxi1tzcjK+daEve09PTy8tr4sSJVlZW+k/9G3smTJhQVVWFX1MfKdXZ2Xn27NlLly6tWrUqJiZm79693d3dCKHMzMzg4OBFixbh++9oqVQq6j+R8Xg8Ho9HTguSSqU9PT1NTU1ZWVl4JohW09HfgLH8/Py//vWvFhYWbm5utbW1mtPH9IlqkGjrXUVFhVaD8Pz587Kystdee+3WrVv29va3b9/u7e3VStNntrg6kzNcnj9/TraEHR0dXC5XR5zUNkpHYqFQqE8T9PTpUx3RmpmZ0baB5Cq09VcrZ2q56QibHoHY3yt6F5sRG/gIIXSvc5yMXiHm71H/xpP2sOHxeNOnT//qq680t0VNqfsrJr311luBgYHU5Z2dneXl5QqFQvc+Ll68mMvlas0i5PP5Uqn0yJEjVVVVLi4u77777scff6w1sRT1vyoxndYBAAAAoAkGsACN4OBgc3PzhIQEsi/V3NysOaHdzs4OD1FRUz569IjL5bLZbLyEIIjOzk6t/JlyQwh5eHhUV1frvo+DIIinT5+eO3cuMTGRzWbryE1PZWVl+PEWpqame/bsqa2t1b1FvGtModLGw+VyBxPklStXCgoKgoKCNm3aFBsb297ePmHChD7Xam1tramp2bt3r+bC6dOna151k/mo1WoOh2NoaIiHFbQuKWmzGsNaWlpsbGxYLBa+QJowYQIeHKSWvFgsDg0NTUtLq6+vd3V1nT179vBEPNzEYvGkSZP6HAJob28/fvx4YmLiq6++iu/iUSgU+/fv/+Mf//js2TPNZ65punv3Lp/Pd3Nz03w4uq+vb21tLTlUxDQCNciAOzo6fvrpJz8/Pw8Pj9OnT/c3qkFiqndaDQJCCAfJZrOLi4txA0VN02e2g6Fjc1qUSiVtE6SF/AMQ2minTZumow1kqr9aOSO6cus3PIZlYIYQGj+jV4j5e9S/8UR0h83cuXNv3rxJvSlPK6Xur5iUlZWVlZWltTAwMPDJkyd9jl4hhJYsWWJhYeHp6Ynf+vj4iESiurq6xsZG3GeorKyUy+UzZszQMf5ORXu21fO0DgAAAIxzcAsh0CYUCr28vNLS0jR789XV1QRBBAQEmJiY+Pv7d3R0yOVy2pQtLS01NTWhoaHGxsbTpk1zdXWlXiLS5oY/mjVr1p07d5hie/XVVwMDAy0sLExNTZcuXXrv3r3e3l4duemPxWLZ2tpGRUXl5ubiJ7J//PHHhoaGtFukDZVchTaeIQlSLpfjGw9lMpmBgcGvf/1rU1NTJycn8vH5WmQyGZ/PX7hwIY/H01ookUh4PJ67u/usWbPw8u7u7ubm5sWLF/N4vIULF1pbW/eZ1RiGx1ZWrFhhamoqFApDQ0Pxg3KoJS8UCtvb2/G3qf9tKWMGm80WCoULFy7ctGlTeno608CNk5PT0qVL+Xw+h8Nxd3fncrnkLBiEUGNj4+HDh3/729+6uLjQrq5UKrOzsyMiIubOnWtqaioQCPz9/ZcvX37mzJkXFLCmS5cuvfHGG52dnTU1NS8oKia66x3ZICCEysvL7ezsvLy8tO6D00yjUqns7OzYbPbAqjPZxOlIQ7s52p2iNkFMmNoxahtIbpGp/lIxlVv/EIh9QcG+MI5GrxDz96h/40lmpXnYzJ8//8cff2TaKJlS/6+Y6l//+teNGzf0Sfn73/8+4j+uXbuWmpqKbxh3cHBwd3fncDhTp04Vi8XUH710oz3b6nlaBwAAAMY5mIEFtIlEIqFQePjwYXLJwYMHS0tLU1JSIiIiQkJC7t+/j+/mYEp57NixjRs3JiUl1dfXHz58mHqJSBAENTfM2dn54sWLTLE9e/bMzc0tKCioq6urvLwcr6gjNz3FxMQ4OTkpFIr8/Hxy6ywWi8Vi0W6RKVS8Cm08gwnSzc0tMjLSyMiooaHhxIkTCKGurq7k5OS1a9fGx8e3trampqbSrtjd3Z2SkrJ27dpVq1Z1dnaWlJSkpqaq1epDhw6tXbv2rbfeKisry8/PFwqFOP2pU6fCw8OXLl2an5+v9Yxb2qz034VRp6enJzk5ed26dfHx8QqF4sqVK/guEmrJ19bWzp07d+/evQ8fPiwqKpoyZcpwx/7ySKVSgiBUKpVMJjt06JDm35BJpVLydVRUVHNzc0BAwJ49ewwMDB48eHDw4EGtG3WrqqrOnDkTHR0dHx/f2NhI3dZ3333X0tKyZMmSDRs29PT0yGSyzz777P79+y8oYM1B+adPn1ZUVND+I9iQRKUDbb2jNggIIYIgbt686erqWldXh+gaDYRQQUFBdHT0vn37/vSnPw2sOuMmjrq8z82p1WoysY4mSP9CoG0DNbdIW3+ptMoN6I/pe9S/8aQeNvb29gRBPHjwQGtb1JRMW9HHL7/8Mpgdf/DgwcmTJ1etWoWnfX311VcDyJB6ttXztA4AAACMc6zx/MjhMQD/cKfPTHhaZmZmup9sAl4ytVo9TqY4DTsoaj1BQQ2VF12SYWFhDQ0N+l/GA6zPcoMq8NJKYO3atXK5/OrVqy9hWwAAAAAYFmq1ms1mD3gEA2ZgAQAAAKObq6urh4fH2bNnhzsQGloTTlNTU/X889OXYCSX23jD4XA8PDyoj6waqzgczp///Oe//OUv1Ad+AQAAAIAJzMAa3WAG1hgDP/W/NFDUeoKCGiovriSjoqJcXFxOnjxZXl7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alt="Monitoring ▸ Lịch sử gọi MCP"></div>
+<p class="rg"><b>Trên</b>: 4 thẻ KPI · <b>Giữa</b>: ô tìm + nút ✨AI, lọc Server/Kết quả/Thời gian · <b>Dưới</b>: bảng có badge Kết quả (✓/✕ phân biệt thật theo <code>ok</code>) + phân trang, nhấp dòng mở panel chi tiết bên phải. <b>Bảng hiện tại</b> (ảnh trên) không có ô lọc/tìm kiếm nào — khác biệt không chủ đích so với 2 màn log kia.</p>
+<div class="cap">Đề xuất — bố cục mới</div>
+<div class="wf">
+<div class="rail">
+<div class="menutog"><span>MENU</span><span class="chev">‹</span></div>
+<div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div>
+<div class="newbtn">+ Đoạn chat mới</div>
+<div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div>
+<div class="sep"></div>
+<div class="hd">RECENTS</div>
+<div class="scope">📁 Báo cáo tài chính Q3</div>
+<div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div>
+<div class="grow"></div>
+<div class="sep"></div>
+<div class="i">Dashboard</div><div class="i">Monitoring</div>
+<div class="acct">👤 local · Ollama ▾</div>
+</div>
+<div class="main">
+<div class="ttl">Monitoring</div>
+<div class="r tb">
+<div class="tab">Tổng quan</div><div class="tab">Bảo mật</div><div class="tab on">MCP</div><div class="tab">Hành động</div><div class="tab">Agent</div><div class="tab">Agents Admin</div><div class="tab">Công cụ</div><div class="tab">Icon</div>
+</div>
+<div class="c grow">
+<div class="r tb">
+<div class="ttl">Lịch sử gọi MCP</div>
+<div class="grow"></div>
+<div class="btn">⭳ Xuất CSV</div><div class="btn pri">⟳ Làm mới</div>
+</div>
+<div class="r">
+<div class="kpi2"><div class="ic blue">▦</div><div><b>892</b><span class="s">Tổng cuộc gọi · +8.4%</span></div></div>
+<div class="kpi2"><div class="ic grn">✓</div><div><b>823</b><span class="s">Thành công · 92.3%</span></div></div>
+<div class="kpi2"><div class="ic red">✕</div><div><b>69</b><span class="s">Thất bại · 7.7%</span></div></div>
+<div class="kpi2"><div class="ic pur">◔</div><div><b>7</b><span class="s">Hôm nay · cuộc gọi</span></div></div>
+</div>
+<div class="r tb">
+<div class="srchwrap grow"><input class="inp" id="s11q" placeholder="🔍 Gõ câu hỏi hoặc từ khoá…"><span class="pill teal aibtn" id="s11ai">✨ AI</span></div>
+<select class="btn" id="s11server"><option value="">Server</option><option value="ms365">Microsoft 365</option><option value="github">GitHub</option><option value="filesystem">Filesystem</option><option value="search">Brave Search</option><option value="db">PostgreSQL</option></select>
+<select class="btn" id="s11status"><option value="">Kết quả</option><option value="ok">Thành công</option><option value="fail">Thất bại</option></select>
+<select class="btn" id="s11date"><option value="">Thời gian</option><option value="today">Hôm nay</option><option value="week">Tuần này</option><option value="month">Tháng này</option></select>
+<div class="btn" id="s11clear">✕ Xoá lọc</div>
+</div>
+<div class="tblwrap grow"><table class="evtbl"><thead><tr><th>Thời gian</th><th>Agent</th><th>Tài khoản</th><th>Máy</th><th>Tool</th><th>Kết quả</th><th>Chi tiết</th></tr></thead><tbody id="s11tb"></tbody></table></div>
+<div class="r tb"><div class="s" id="s11count">Hiển thị 25 / 25 cuộc gọi</div><div class="grow"></div><div class="btn">‹</div><div class="btn pri">1</div><div class="btn">›</div></div>
+</div>
+</div>
+<div class="c pane overlay hide" id="s11detail"></div>
+<div class="dock fab" title="AI Assistant — trợ lý cách dùng app"><span class="spark">✨</span></div></div>
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+    {time:'2026-08-15T09:38:00',tool:'ms365__get_calendar_events',server:'ms365',ok:true,agent:'Cowork Agent',account:'local',machine:'DESKTOP-DEMO',detail:'Trả về 5 sự kiện trong 7 ngày tới. Cuộc họp kế tiếp: "Review Sprint 12" lúc 14:00 hôm nay.'},
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+    {time:'2026-08-14T16:30:00',tool:'brave__web_search',server:'search',ok:true,agent:'Security Agent',account:'local',machine:'DESKTOP-DEMO',detail:'Trả về 6 kết quả cho "best practice API key rotation".'},
+    {time:'2026-08-14T15:18:00',tool:'postgres__query',server:'db',ok:false,agent:'schedule',account:'local',machine:'DESKTOP-DEMO',detail:'Lỗi SQL: relation "audit_log_archive" does not exist. LINE 3: FROM audit_log_archive'},
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+    {time:'2026-08-14T10:05:00',tool:'filesystem__list_dir',server:'filesystem',ok:true,agent:'Code Agent',account:'local',machine:'DESKTOP-DEMO',detail:'Liệt kê 28 mục trong ./src/components.'},
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+    {time:'2026-08-12T15:07:00',tool:'ms365__get_calendar_events',server:'ms365',ok:true,agent:'Cowork Agent',account:'local',machine:'DESKTOP-DEMO',detail:'Trả về 3 sự kiện. Không có xung đột lịch.'},
+    {time:'2026-08-12T12:30:00',tool:'brave__web_search',server:'search',ok:false,agent:'Security Agent',account:'local',machine:'DESKTOP-DEMO',detail:'Hết thời gian chờ (timeout) sau 30s — server tìm kiếm không phản hồi.'},
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+        '<td>'+c.account+'</td>'+
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+        '<td><span class="av '+meta.cls+'">'+meta.badge+'</span>'+toolShort(c.tool)+' <span class="s">'+meta.label+'</span></td>'+
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+        '<td class="dt">'+c.detail+'</td>'+
+        '</tr>';
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+    var evtId='evt_'+c.time.replace(/[^0-9]/g,'').substring(0,12)+'_'+String(index).padStart(3,'0');
+    d.innerHTML=
+      '<div class="hd2 row">Chi tiết cuộc gọi MCP<span class="pchev" id="s11close">✕</span></div>'+
+      '<div class="dtl grow">'+
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+        '<div class="fld"><span class="lbl">Loại log</span><span class="val"><span class="tagn">mcp_call</span></span></div>'+
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+      '</div>'+
+      '<div class="r tb pnlfoot"><div class="btn pri grow" id="s11closebtn">⭳ Đóng</div></div>';
+    document.getElementById('s11close').addEventListener('click',function(e){e.stopPropagation();closeDetail();});
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+  }
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+    if(bucket==='week')return maxTs-t<7*day;
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+    var st=document.getElementById('s11status').value;
+    var dt=document.getElementById('s11date').value;
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+  document.getElementById('s11date').addEventListener('change',apply);
+  document.getElementById('s11q').addEventListener('input',apply);
+  document.getElementById('s11ai').addEventListener('click',apply);
+  document.getElementById('s11clear').addEventListener('click',function(){
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+  render(calls);
+})();
+</script>
+
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Dải tab Monitoring bị ẩn sau accordion — không thấy 7 màn Giám sát còn lại từ đây.</li><li>Bảng <b>Lịch sử gọi MCP</b> thật hiện <b>không có ô tìm/lọc nào</b> — còn thiếu hơn cả Sự kiện bảo mật: <code>ui/monitoring_tab.py:166-168</code> tạo thẳng <code>self.mcp_table = _EventTable()</code> rồi thêm vào tab, không bọc qua <code>_wrap_with_filter</code> như Sự kiện bảo mật/Nhật ký hành động — đúng như đã ghi ở ảnh Hiện tại.</li><li>KPI · lọc Server/Kết quả/Thời gian · phân trang · panel chi tiết đều là <b>tính năng mới</b>: bản thật chỉ có bảng 7 cột (Thời gian/Vai trò/Tài khoản/Máy/Tên/Kết quả/Chi tiết), không tìm không lọc không phân trang (xem <code>ui/monitoring_tab.py:_EventTable</code>).</li><li>5 server trong bảng mẫu (M365/GitHub/Filesystem/Brave Search/PostgreSQL) chỉ là ví dụ minh hoạ lấy từ docstring <code>core/mcp_client.py</code> — server thật phụ thuộc Admin đã cấu hình connector nào ở Settings, không có sẵn mặc định.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Bỏ ẩn dải tab Monitoring (8 mục ngang hàng) — không đổi accordion nav rail.</li><li>Thêm ô tìm kiếm + nút ✨AI cho bảng này để đồng bộ với 2 bảng log kia — hiện là bảng log duy nhất trong 3 bảng không có tìm kiếm.</li><li><span class="bad">Vượt phạm vi "chỉ sắp xếp lại"</span>: 4 thẻ KPI, 3 dropdown lọc (Server/Kết quả/Thời gian), phân trang và panel chi tiết trượt — cần bổ sung logic đếm/lọc/phân trang ở <code>ui/monitoring_tab.py</code> trước khi hiện thực; danh sách server chỉ minh hoạ, không phải cấu hình mặc định.</li></ul></div>
+</div></div></section><section class="sec" id="monitoring-nhật-ký-hành-động">
+<div class="hd"><b>12. Monitoring ▸ Nhật ký hành động</b><span class="tag">ui/monitoring_tab.py:132</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Nhật ký cấp ứng dụng: ai đổi cấu hình, ai chạy task.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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DRECLHZ7ODg4Pz8/M8++ywxMfHtt9/Ga7LZ7JCQkMePH4eFhV25cmXVqlVExjo7O0dGRkZFRbm5uVlZWUVHR+O/u0FBQX07esWUtwihdevWNTc3b9++fc+ePZqamgghU1PTw4cPh4WFIYS8vLz6MNp9qLq6uqioaMyYMbS/VlRUlJeXr1u3js/nK/xkYmKyYsWKuLi42tpapsBHjx4tkUiIcSIsMzPT2NgYlz0ydXX1V69evWaEsTt37piYmJiYmOCv06dPz87OJgLvVKw6i1wZlRcwaoEkb85U+6hhkmufTCZjqrNUAoFg2rRpX3/9dUhICP7TSF1CS0nLAAYEatf5Oj2dEgo9BVK51aX2KS4uLlFRUd99952Tk9OYMWOUNPWIrk9MS0sLCgoKCgqKiYl5/PjxH3/8QVuM8cJHjx6FhYWdPXvWycnp9TOBQO18FShpA8kZ0tTUpCTtiHQC0N7ermInTt2jQobTZpfyrl8hBMR89DuMDAAAgEHgvwNYdnZ2b1PY2dmpGJC+vr65uXleXl5eXp65uXmnLrI5ODjs3Lnz0aNHn3zyyfvvv79v374RI0ZQV7t9+/bhw4dVD1YV1DBHjhxJ/Ad4w1lbW8+bN+/s2bMIIS0tLfJZRVNTk7q6Ou2afD7f0NCwvr4+LCzs+PHjixcvNjEx0dXVPfwPV1dXptBSUlJmzZoVFxfn7++fnJyMEFLYsIdS+t5772WFi3oeAAAgAElEQVRmZpJvX3/27NmGDRs6HEEjJ5zYhDZ1yjNQOSMjI2JmEDIrKysNDY3k5GSJRFJdXU2MGT148AAPWo0dOzY9PV0gELBYrDFjxuTl5TFtgl27dq2p6b+TtowbN87LyysmJoa8EOPz+UKh8O7duw0NDSKRCN+DJhAIOBxOSkqKVCotKiq6ceMGXtnS0hIvl8lkeBiOqOCXLl2qr68Xi8V5eXnEJET9AVNGWVhYGBoaxsfH42jj29zOnDkjFoulUunt27e75d/aAPXy5Ustrf//OrbQ0FBcbQMCAhBCcrk8KiqqrKxsy5Yty5YtI1ZDCM2aNauwsFDJDZsIIQMDg+fPnysslMlkMplMR0eHWKKurj569GgvL6/MzExVmg4lEcba2tquXr3q7e2NEFJTU3N3d79y5UpnY9U15MqopIDRFkjy5ky1T3mhVVJnqdrb27W0tAwMDJQsodWpvfRzeN6rqLoXUXUvPjUwUpjTfbCidp2v09MpQe0putzqXrp0qa6urrS0NC8vD793SPU+kaCjo7NkyZKjR4/K5XLaYiwQCNTU1FJSUpqamoqKihQm1nwdtJ0vgdwGdhiU8rSTTwBepxNXyPAu1HqFEBDz0e+3ZxQAAAC60X9PLMrKygICAsgv+6ivr09MTFS+vba2tru7O4vFmjRpklgsxlNficVi4inCkSNHOjg4IITkcvm1a9eol1Y4HM4nn3xy4MCBa9eu4SV37969e/cu/nzu3LmgoKDa2lpvb29/f38+n19QUBAVFfXy5Uv8a1xc3LJly3R0dA4cONDQ0LB27Vptbe3ExMSkpCSFHQUEBMybN4/L5V6+fBkPWlHD/Oabb3Bsg4KCFi1axPQ8y5vA09PT0dFxz549z549QwhJpVLyuJ6WlhYxzZnCmm1tbY2NjRcvXkQIFRYW4ruB8EVLYnMXFxdqaDweLzQ09NChQ4WFhVZWVmvXrt21a9ezZ8/IG/aEmTNnamhokP+Xqkgh4QTavGKz2UwZ2KGmpibaq6xDhgypqqoirnVXV1fjf4zV1dWtra3Dhg0bO3ZsamqqlZWVqampjY3NjRs3mDbBXrx4QQ7fz88vNTUV1zUFLi4uIpEIJyEnJ2fmzJmpqal8Pr+iooIIvLGxEQc+ZMgQY2Nj8kgxj8fDAxbEHiUSSb8aOGbKqGHDhpWXlyvcqefo6Ojk5DRixAgjIyMVHwsdlIYOHVpYWIg/U6eUam5uPn/+/OXLlxcuXBgWFhYREYFv60tMTPT19fXw8CDf5qBAKpVS3//F5XK5XC7xPF1oaGhbW1tVVVVSUhK+K6rDpkN5hLH09PRvv/1WX1/fzs6upKSEXNlViVWXkSujkgJGWyDJmzPVPuWFVkmdpSopKUlKSlq3bl1lZWV8fHxVVRV1Ce2GndpLf0bM2k48OUie032wou06lZwqKNfa2koe6lJXV29ubia+UnuKLre6xKCzVCrV0NDoVJ9IWLp0aVpaGi7YtMVYT0+PXOwlEgmPx1MIRMUrsgrtGG3ni+NPbQOVU5528gnA63Ti1AzvbK1XCAExH/1+e0YBAACgG/33dAEPVxFjWPir6mfhOTk5xKgTfooQD2DNmTPH2Ng4JyeHacOxY8cihIjRKyYWFhbfffddZWXlxo0b58+fjyfWQQjhSXMnT568bt26hw8ffvrpp8bGxhEREVevXiU/kCIUCmfPnv3xxx+TT0eoYW7evHn9+vUlJSX49p83lq+vr56eXmRkJPG/qLq6mnw5y9TUFA9RUdesqanR0NBgs9l4iVwuJ5+GKgnNzs6usrIST6VRUFAgFovHjRun5D9td5k1a5a+vr6joyP+6uLiYmJi0uHsCdSEE2hTp6GhQZuBqnj06JGBgYGtra3CaXptbe2wYcNYLBY+AR06dChxnvfgwQNbW1sTE5PS0tKCggKhUGhhYXH06FFLS0umTRBCCjPu//TTTytXriwpKXn06BF5OZvNdnV1NTIyIp+DCoVCiURCHmgjHharq6srLi6OiIhQMb39AVPeNjQ0DB06lLymtbV1QEBAfHx8eXm5UCicNGlS38S4r1lbW48cObLDf00NDQ1Hjx6NiooaNWoUfj1ZY2NjbGzs559//vLlS6a3ATx8+JDH49nZ2ZEnR3d1dS0pKSE6KaYRqNeMcFNT0+3bt6dPn+7g4HDq1KnOxqrLiMqovIBRC6TC5rS1r8NC29k6m5GRcfPmTR8fn9WrV+P3NioskclkHA5HXV0dj1riP/MDsWWgektTS2H0ipjT/ZVcPohfREjbdWZnZ3etp3v+/PnIkSOJgQxjY2Ni+ggq2gJMW8Y6pKQbRZQ+EXN0dDQwMPjjjz/wV9piPHbsWPLoNm0l7cLFOabOFw/Ed7YNVJ528glAN1bV1w8K+lwAAHjD/c8cWMSgleqjV1Kp9NKlSxcvXrx48SJxGznxFCF+rvD777+/ePHipUuXaCe14fP5lZWV+LOOjs6v/1BY7fDhw0VFRRKJJD093dTUlFj+yy+/SCSS69evNzc3p6Sk1NbWFhQUlJWV4duMCW1tbdra2gq3sTCF+Ybj8/lOTk7x8fHkoZmioiK5XO7t7a2tre3l5dXU1CQWi2nXrK2tLS4uDggI0NLSsrW1FQqF1L+ItKGJxWJzc3N7e3sOh2NjY2NtbV1SUtIL6f3000+D/vHnn3+eOHHizJkzfD5/165dTM8+0Cac2IQ2dbQLVYxhQ0NDSkpKcHCwi4uLvr6+vr6+u7u7o6Mj/v8/f/58HR0dPp8fEBCQnp6ON8nLy/Pw8Hj8+DFCKD8/39nZuaqqqrW1VckmVGKx+Kefflq7di0xBxBma2urra29fv16It+ys7OnTp0qEomMjIxmzJjB5XLt7e2J00qRSMTj8dzd3blcboeJlUqlpqambHZ3Ts/XBUwZJRKJ1NTU3n33XR0dHYFA4OzszOfzGxoa8NHs3olOBgQ2m83n893d3VevXp2QkMDUawgEgjlz5vB4PA6HY29vr6GhQb6WUFlZefDgwX/9619Ms5ZIJJLk5OSgoKApU6bo6OgYGhp6eXnNmzfv9OnTPRRhssuXL8+YMaO5ubm4uLiHYqUEbQEjWhtqgVTYnLb2MRVaovZ1qs4SxGKxQptJLGltba2urp45cyaXy3V3dx8yZAhT3AacV3J5xMvnCjdb3ZBJI14+f/XPvS2DEm3X2eWe7q+//nr33XcFAoGGhgaejIl4CJ2KtgDTljHUUZ/SqT4RIaSvr79gwYJjx44RNy7RFmO80NPTE/eGEydOVCUTOsTU+XYqECJDlKedfALQjVWVKSjVu/43vM8FAACg+P+ceGzwdS4g40fQ7e3tWSwW8Vwhk8bGRuJODYlEMnfuXB0dHer9L25ubu7u7ubm5kOHDiVu9UIIEc83NTU1EdfrqDcPi0SiY8eObdmypbS0dN++ffgqH1OYbzgTExM+n3/w4EFiyb59+3Jzc+Pi4oKCgvz8/J48eYKv/jGteeTIkZUrV0ZHR5eXlx88eJBaluRyOTW0srKy48ePL1y4EF8G/Pnnn/H4S19hsVhMMwrTJry0tBRvQps62oWqS01NxQ/SLlu2rLGx8d69e+fPn29ra4uJiXnvvfd27tzZ2NiYkZFBPM1RWFg4bNgwfCNhWVkZj8fDM2Io2YTWvXv3fv31148//njHjh3ELY1ubm4ZGRnkmUEuXrwYHh6ekJCwd+/e9957b8GCBX///feff/6JJxhqbW2Ni4tbunTpwoULm5ubc3JyTpw4wbTHmzdvhoSE7N69e+PGjTKZrFO51I2YMqqlpSUmJmbp0qU7d+6sq6s7ceJESUnJlClTIiIinj59mpWVpXxS8EEmNDRULpdLpVKRSLR//37ym7ZCQ0OJz8HBwdXV1d7e3tu3b1dTUysrK9u3b5/ClO2FhYWnT58OCQnZuXMncUmD7N///ndtbe2sWbMCAwPb2tpEItH333+P33vbExEmj02/ePEiPz8/Kyurh2LFYrGoN3IScnNzaQsYbm2oBVJhc9raxxQmufapXmft7OxWrVqlqalZUVFx7Ngx2iUIoZMnT65YsWLOnDnp6en4n3OnWoZ+634zfTM1iO+9UqLLPd3Vq1e1tLRWrVplYGBQU1Nz4cKFe/fuMa3MVICpZQz9b6mmBtXZPnHx4sV8Pn/Hjh346++//56YmEgtxjKZbP/+/UuXLl2wYMH9+/fT09Op76/oAqbOt1OT7pEzRHnayScA3VVVmWq96l0/09EHAADwhmD10JTDzs7O+NnAv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wbecrLyzt+/HheXp6qquqiRYucnJz4522RkpLSmTNnqMfnzp1TV1e3t7fnmffIkSPJycnR0dF9+vTpqHhaGwN0CScnp/z8fEKImpra8OHDrays7O3tlZSUmC8RQkaOHPnjjz8Sjjbs5OTk5uY2ZcoUQkhoaOi9e/eOHDmyZcsW1s6bmpp69uzZp0+fEkLGjh3r6uo6fvx4ZjACgWDgwIHz589fs2YNFUl7AnZycpJIJFLDV2lp6ZIlS1xdXVetWkVtkRMV9Ab9pk7R9tr0JiCQENJ/5nRCSG1K2puAQG2vTf2mTunq6Drd06dPT506df/+/aampkmTJnl5eenp6bGmNDU1/fnnnxcvXvx///d/Kioqrd1RdXV1TExMWFjYnj17xowZM2DAgHbH3oni4uJUVFSuXLnCeqRVVVWOjo4XLlxoQz0AF3xyAADoJXAGFrB49uxZQEBAXFzc6NGjDx48SAhpbm7euXPn5MmTY2Nj7ezsduzYQf2CKpuSEHL9+vWzZ8/6+Pj88ssvrKtXXKXt2bPH1NT00qVLs2fP3rVrF8+M1dXVW7duXbhwYUxMzIwZM3x8fAghR48eTU1NjYyM7NevX2pqampq6ubNm8n/Y+/Ow6I48sfx1yAych8qHiBq8BmPgHHFMUYRdszIfQmKrigKYqIblgFBFFRC5IsKQkCCZBVjFuKBYACBcIjBA3g+AoIHAlFBCAkMyuXocAf4/dG/7ad3pntoDmHU9+sv6KmqfndNVXVNTXcPQomJiffu3Zs7d+7AwABWJmn20YRKmoWqHDqEQqGXl5eVlVVaWlpMTEx7ezvNjCNQX1/fQ/uqgb6+vry8PB0dncLCwqFTv50YwASKjIzMz8+/cOHCli1bEhISgoODiS9h/Q5bDBqyDWdmZubn54eEhMjJyZF23rS0tODgYGtr66tXr165coXD4fj6+paUlBD3eOvWrePHj//666/JycmjDBjT3t5eXFxMLCExMVFJSQn/d8iowIdAfu0abA2rK78QX73CFrPeb8XFxR4eHnp6ej/88ENSUpKhoeGjR4+oBWnI4wAAIABJREFUEsvIyISGhubk5Dg4OIxgX4qKikFBQYqKiidPnpTy1SuEUGtr6+LFi6nWp3Jycv7+97/D6tXYgpkDAAB8IGABC5DYv3+/lpaWvLy8nZ1dXV0dQujZs2evXr1ycXFRVlZ2dHRkMpnYhfHiKRFCsbGxR48e1dfXl5Ulv8SPtLTBwcHq6mo7OzsFBQUHB4eGhgbxuQhpxgcPHsyZM8fExERJSWnHjh1CofDp06dUh+bq6urt7a2qqopvIc3O5/Pt7e17e3vphyo5C1UF0tHS0vLXX39xOBwmk6mtre3l5YVtf/nypbe3t6mp6a5du/BDFggEQUFB1tbWlpaWN2/eFAgEXC4XL4rH4+Xn5yOEuFxuVlaWlZVVSkoK+u89FzweLyMjIyoqytDQ0MPDIzU1FcvV0dFhYmLy+vVrkcBu377NYrFMTEwyMjLwjXV1dXv27OFwOHv27Dl9+jR+tw5ptFwu986dO1u3bjUzM/vuu++wCPEYhEIhzSp6G5qbmw8fPmxpaWlnZxcdHY0vOIrUMELol19+2bp1K5fL5fF4b3V5UQphFz2tW7cuPDz81q1bVF2Pqg1jSktL4+LiwsLClJWVSbN3dnaePn06ICDAwsJCTU1t6tSpGzZs2L17d2RkJDHZpEmTWCyWg4ODyKrTCALGcDicK1eu4P92dHTk5uay2exhRTUkPp/P4/G4XO6XX3758uVLfDtpuxLvMmj4nY7Y90nbOdW4ceHCBVtbW1NTU3zXIsR7B1U/4nK5ubm5mzZtsrCwuH79+t27dzdu3GhhYXHx4kWaCejXD1UNjyFsDas9NLw9NPwDWb3q6+s7duyYl5eXk5PTrFmzVFRULC0tORwO9mpFRYWTk5OpqWl4eDi2hf77RYrmGYR07/jZWaRM8fOg5CYnAbGor7/++vLly7GxsYaGhqSJ09PTbWxshixTpHzxI6XqXOJ5i4qKduzYYWJi4ufnJxAISA+ftIbFu/yQowqPx0tPT8cTm5ub9/b2kuaSUIcSjo50u/TMHAAAALxtsIAFJHn8+DGLxUIIVVdXL1q0iMFgYNsXLlz4xx9/kKZsaGjo7e29du3a+vXrN23alJmZKV4saWkMBsPY2Dg5Obm7uzs5OZnNZjOZTDoZu7u78duFGAyGqqoqn8+nf4wSsjMYjOGGSpVlyAqUQEdH56OPPjp48GBjYyO+cWBgwNfXV09PLyUlxdHRMSAgALumzM/Pj8lkxsfHR0REdHV1SSi2pKQkISFhw4YN+JZTp05ZWVl5eHgUFBRYWlrevn0b256fn79y5UrxL70zMjKMjY2NjIxKSkqam5uxqI4cOcJms9PT093d3a9fvy45WoRQdnZ2dHR0VFRURkZGeXk5MQbipS7jbGBgYP/+/To6OgkJCdHR0eXl5fiFOeI1XFNTExgYmJqaymAwiOsdHxRtbW09PT2qZVnSNoypra0NCQkJCQnR1NSkKvzhw4fKysqfffYZcaO5ufnvv/8uvh7R29uroKAwyoAxn3/++fPnz2tra7F/09LSOBwOXviwoqKCdY1ly5alpqa6u7vn5ubiL1G1K5EuM4JOh/d9Ce1cXGVl5bVr186fP5+Tk/Ovf/2LNI1I75BcflFR0Y8//rhv377w8PArV66cPXs2JCTk3Llz+AOMJCegXz9UNQxGA/sux8TEhPTVzMzMqKio06dP5+bmPnjwANF+v0hLo38Godo7Qgg//xKJnAeHbJMS4EV98803W7Zs2b17d0FBgXiyyspKeXn5efPmDVmgCPGGTb/z/vzzz8eOHUtMTBwcHIyOjhaPmbSGxbs8nVHFxMTk1q1b2Ma8vDwOhyMrK0uVi6oOqY6OaruUzBwAAACMA1jAApTKy8t//PFHbNYiFAqJcwJFRUXi5VHElHw+/+XLlxoaGteuXTt48GBERERtba1AIDD8r8zMTKrSXFxcLl68yOVyY2Ji3NzcEEJ0Mi5durSqqurmzZvd3d3Z2dnPnz+nf3ceQog0+6xZs5KTkydPnkw/VMlZJFegZDIyMlFRUbq6uq6urqGhodi3ixUVFb29vS4uLgoKCqampgwG4/fff6+qqsK+51RXV2exWBYWFhKK3bBhg4R5nrGxcVVV1Zs3bxBCeXl55ubmIgn4fP79+/fXrl2rpqamr6+PrVRiUbm6uiopKenp6VlZWWGJSaPFXnJ2dtbQ0GCxWCtXrsSfQzThKioquru7d+/eraysrK2t7e7unpOTgxAirWEPDw8Wi6WkpLR+/fr6+vqJjn3CTJs2Df/q29PTE+u22Icl0jaMuXz58vLlyyV/nGttbZ05c6bIRgUFBUVFRayJYvr6+h4+fJiUlGRqaioydAw3YIysrOzGjRuxD9t//fVXcnKyo6PjcKOSrKKioq+vz8XFRUlJSV9f39raGn+Jql2JdJkRdDq871O1c1KTJk3q7OxsbW2lSiDeOySXv3nzZiUlJS6XKycnt2nTJg0NDX19/Xnz5uEHKzkB/fqhquExhN05qO7rre7rjd1L+Db2IlVevHgh8rxIou3bt0+dOnXBggVsNhtbAqb5fpGWNtwziMje8bOzeMki58Eh2ySGdHiRfErFkV5+JVIgafniDZu0c1Hl1dLSUlNT27t3L/GWf+JQIF7D4l2ezqhibGxcXl6ODa15eXlmZmakuSTXIdXRDWvIAgAA8F6Ch7gDcklJSXl5eREREbNmzUIIKSsrEy/n6ejo0NDQIE0pKyurpqbm7OyMEDIwMPjss8/u379vb29P/CoyKytLvLSWlhZPT8+jR48uX7788ePHfn5+33///axZs4bMOH369MDAwO+++y4oKMjIyGjBggUSLuUQJzk76YFThSohS39/P1UF0jFlypQ9e/Zs2bIlKirK3d09Nja2qampvr6eeIdCS0uLQCCYP38+zeepi3/2Ftnj6tWrCwsLDQ0Nq6urV61aJZIgMzNTX19fTU0NIcThcC5fvuzs7NzU1DR37lz8i25VVVVs7ksa7fz58xFCeG2rqKh0d3fTiXwcNDU16ejo4AeipaWFHUhDQ4N4Dd+8efP69et1dXVNTU34/WUfoIaGhuXLl2N/R0ZGYo9mx4m3Yezz5FdffRUbG5uSkkK8GFCEsrKy+K9kdnZ2dnR0qKurY/96enrKysrOmTPnn//8J3ZVFOnlD/QDxtja2m7ZsgV7GNaiRYvwbk4zqiFhLQ3/V0VFpaWlBfubql2JdJkRdDq871O1c1ILFy7cs2fPwYMH58yZ4+PjM2fOHJEE4r1Dcvn4074VFBSmT5+O/U1c3JecgH79UNXwWBF/7hXxme7vK0VFRezCW1J4G8MHdprvF2lpwz2DiO99yDgxQ7ZJjKqqqvjwIvmUiunq6ioqKvL09BTZLl6gePmkDVu8c5HGNnv2bOwPDQ0NoVA4ODiIZSQOBeI1zGazRbo8nVFFSUlpxYoVhYWFy5Yte/369dKlS3Nzc0lzSahDqqMb1pAFAADgvQQLWIDE2bNnBQJBdHQ0/lFEW1ub+NVodXU1tkQlnnL27Nk9PT39/f3YFgaDMWXKFJHySUsrKSnR0dFZvXo1QmjFihUsFuvu3bsin2mpwli9ejWWUSAQODs7L1y4cFjHKyH7CEIlzdLT00Ma+bCoqakdOXLExsbmyZMnGhoaS5YsOXv2LDFBaWlpQ0MDcYu8vHxvb29vb6+cnBxCiDjVG3Kdy9TUNDU1dWBggMPhiCQeGBjIzMx88eIFcUpaVlamrKxMvHkKvxmTNFppNn369D///BOf5Tc0NMyYMQMhpK6uLlLDjx49io6O9vb2nj9/fllZGX7f5YemvLz8+fPnWKeQgNiG9fT0EEKqqqqhoaF79+6dOnWqkZERaa5ly5a1traWlJQQP/f+8ssvCxcuxBeCqVagRhmwkpKSiYlJampqfn6+j4/PcKMakoqKCnEVDL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alt="Monitoring ▸ Nhật ký hành động"></div>
+
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="ttl">Monitoring</div><div class="r tb"><div class="tab">Tổng quan</div><div class="tab">Bảo mật</div><div class="tab">MCP</div><div class="tab on">Hành động</div><div class="tab">Agent</div><div class="tab">Agents Admin</div><div class="tab">Công cụ</div><div class="tab">Icon</div></div><div class="c grow"><div class="r tb"><div class="ttl">Nhật ký hành động</div><div class="grow"></div><div class="btn">⭳ Xuất CSV</div><div class="btn pri">⟳ Làm mới</div></div><div class="r"><div class="kpi2"><div class="ic blue">▤</div><div><b>25</b><span class="s">Tổng sự kiện · +6.2%</span></div></div><div class="kpi2"><div class="ic grn">✓</div><div><b>19</b><span class="s">Thành công · 76%</span></div></div><div class="kpi2"><div class="ic red">✕</div><div><b>6</b><span class="s">Thất bại · 24%</span></div></div><div class="kpi2"><div class="ic pur">🛡</div><div><b>4</b><span class="s">Chặn bảo mật</span></div></div></div><div class="r tb"><div class="srchwrap grow"><input class="inp" placeholder="🔍 Tìm hành động, agent, chi tiết…"><span class="pill teal aibtn">✨ AI</span></div><select class="btn"><option value="">Tất cả loại</option><option>Công cụ</option><option>Gọi MCP</option><option>Chặn bảo mật</option><option>Quyền</option></select><select class="btn"><option value="">Tất cả trạng thái</option><option>Thành công</option><option>Thất bại</option></select><select class="btn"><option value="">Tất cả thời gian</option><option>Hôm nay</option><option>Tuần này</option><option>Tháng này</option></select><div class="btn">✕ Xóa lọc</div></div><div class="tblwrap grow"><table class="evtbl"><thead><tr><th>Thời gian</th><th>Agent</th><th>Loại</th><th>Máy</th><th>Hành động</th><th>Kết quả</th><th>Chi tiết</th></tr></thead><tbody><tr><td>15/08 · 09:42</td><td><span class="av blue">CA</span>Cowork Agent</td><td><span class="pill teal">Gọi MCP</span></td><td>DESKTOP-DEMO</td><td>ms365__send_mail</td><td><span class="pill grn">✓ Thành công</span></td><td class="dt">Đã gửi email đến nam.pdt@company.com — chủ đề "Báo cáo tuần Q3".</td></tr><tr><td>15/08 · 09:38</td><td><span class="av blue">CA</span>Cowork Agent</td><td><span class="pill blue">Công cụ</span></td><td>DESKTOP-DEMO</td><td>read_file</td><td><span class="pill grn">✓ Thành công</span></td><td class="dt">Đã đọc ./docs/installation.md (172 dòng).</td></tr><tr><td>15/08 · 09:31</td><td><span class="av red">SA</span>Security Agent</td><td><span class="pill pur">Chặn bảo mật</span></td><td>DESKTOP-DEMO</td><td>dangerous_command</td><td><span class="pill red">✕ Thất bại</span></td><td class="dt">Chặn lệnh: rm -rf / --no-preserve-root</td></tr><tr><td>15/08 · 09:20</td><td><span class="av blue">CA</span>Cowork Agent</td><td><span class="pill gry">Quyền</span></td><td>DESKTOP-DEMO</td><td>path_outside_sandbox</td><td><span class="pill red">✕ Thất bại</span></td><td class="dt">Chặn đọc C:\Users\NamPDT\Documents\personal.xlsx — ngoài sandbox.</td></tr><tr><td>15/08 · 08:55</td><td><span class="av red">SA</span>Security Agent</td><td><span class="pill teal">Gọi MCP</span></td><td>DESKTOP-DEMO</td><td>brave__web_search</td><td><span class="pill grn">✓ Thành công</span></td><td class="dt">Trả về 8 kết quả cho "CVE-2026-1234".</td></tr><tr><td>14/08 · 17:45</td><td><span class="av amb">SC</span>schedule</td><td><span class="pill blue">Công cụ</span></td><td>DESKTOP-DEMO</td><td>run_command</td><td><span class="pill grn">✓ Thành công</span></td><td class="dt">python scripts/report.py — thoát mã 0.</td></tr></tbody></table></div><div class="r tb"><div class="s">Hiển thị 1-25 của 25 sự kiện</div><div class="grow"></div><div class="btn">‹</div><div class="btn pri">1</div><div class="btn">›</div></div></div></div><div class="dock fab" title="AI Assistant — trợ lý cách dùng app"><span class="spark">✨</span></div></div>
+
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Bảng thật (<code>ui/monitoring_tab.py:_EventTable</code>) gộp cả 4 loại sự kiện (tool_call/mcp_call/security_block/permission) vào tab này nhưng không có cột phân loại — phải tự suy ra loại hành động từ cột "Tên".</li><li>Bộ lọc thật (<code>_wrap_with_filter</code>) chỉ có 1 ô tìm + nút ✨AI; 3 dropdown Loại/Trạng thái/Thời gian, 4 thẻ KPI, phân trang và nút Xuất CSV trong <code>12.ui-redesign-action-logs.html</code> đều là <b>tính năng mới</b>, chưa có trong code.</li><li>Bảng thật giới hạn ngầm <code>_MAX_ROWS</code> dòng mới nhất và không phân trang — không biết còn bao nhiêu sự kiện bị ẩn.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Thêm cột <b>Loại</b> dạng pill màu (Công cụ/Gọi MCP/Chặn bảo mật/Quyền) trước cột Hành động, tái dùng đúng bảng màu <code>.pill</code> đã áp cho Sự kiện bảo mật (mục 10).</li><li><span class="bad">Vượt phạm vi "chỉ sắp xếp lại"</span>: 4 thẻ KPI, 3 dropdown lọc, phân trang và nút Xuất CSV cần bổ sung logic đếm/lọc/phân trang/export ở <code>ui/monitoring_tab.py</code> trước khi hiện thực — hiện bảng thật chỉ lọc bằng 1 ô tìm text.</li></ul></div>
+</div></div></section><section class="sec" id="monitoring-trạng-thái-agent">
+<div class="hd"><b>13. Monitoring ▸ Trạng thái Agent</b><span class="tag">ui/monitoring_tab.py:132</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Agent nào đang bật và nguồn định nghĩa.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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CFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARE3AAgAAACBqAhYAAAAAUROwAAAAAIiagAUAAABA1AQsAAAAAKImYAEAAAAQNQELAAAAgKgJWAAAAABETcACAAAAIGoCFgAAAABRE7AAAAAAiJqABQAAAEDUBCwAAAAAoiZgAQAAABA1AQsAAACAqAlYAAAAAERNwAIAAAAgagIWAAAAAFETsAAAAACImoAFAAAAQNQELAAAAACiJmABAAAAEDUBCwAAAICoCVgAAAAARK2m2gMAAAAAeHPZtm3b0C/19fUhhFwulyRJVUe0N1mWlcvlUqlUKpWqNQYBCwAAAGC0pWna2NhYLBaTJC0WqxaGhiNJkiRJ8vm62tra/v7+LMtGfwyWEAIAAACMtsbGxsHBYpaFSqVS7bHsQ5ZllUplaPrVmDFjqjIGAQsAAABgVNXX1xeLxWqPYr+Vy5VSqVxXVzf6jxawAAAAAEZbkhyqTSZNqzDyQ/WPBQAAAHCIyuVy8a8c3K1KpVKVgGUTdwAAAIBRtfd3DpbzTaXaceVcQyXkwmi+nDALaSjnyn01xc7cYNeezqrKCxMFLAAAAIAoZGnNQOPhg6Ehq4RQjTcTlkOuGApJvpDP99X1vpRUYnk9ooAFAAAAUH1ZWtM7ZnqxXBNCVuWRVEJ/qC+Pmd7Y80IkDUvAAgAAAKi+gca2YilX9Xq1U7GUG2hsq+9+sdoDCUHAAgAAAKi6cm1hIKuPp14NGcjqa2sLuWL3Xs6pqalN0yTsY7OurFLJSqXiiEciYAEAAABUWbF2bFaOq16FELJyVqwdu5eAlc/n95WuhiRpmuTz+cHBwZGNpAovPgQAAABgV+W0PgvZXn6Oaxv/f7xzxu/u+vJl75m19zMP7E85rd/TmGtqaodXr3ZKampqR/b3MQMLAAAAoMrKWRqyPc7AuuhDZ759/rsn1NY+8mz31GkzwsOrRnVge5Cm+1WvQgghSfb7kh3PGtllAAAAABw42R5/8g3vOunkbVv7QghNk5ve+855l555Ylt9csaRE/PJnq86kD97MnoBK1coFEZ2JTFobGwMIYx4BWk+n8/lcgd0RAAAAMA+lMvlcrmy65GB2olZZU9nF9trmq68cMGJ8yZPay1Mnn74GQvPPv+UEz500V9vX/nb36zbclCHmqZJXbF91yO5XG4oRORyI1nYVy6XR3CVJYQAAAAAVZdle5jrlORqzvnYwumTa0NWDiEkldL6tS898NS2GSteWrp8zc6rxtaEj73n2FPeddyRU6fka2o6u3qe+/26+5Y+svT5rdFtDr//BCwAAACAKsuG9kzfnVnz33XM1ClZNji05VR/X+mZp14s1NfOOfqww/JhbZaFEN41o2Xxf/37lpkzQijvXPR34tk1519+ydJb//3Sf/1B30gj1p435hpVlhAe2iwhBAAAgEPO7pYQTsgqu29F7z/vY28dP27G5NoQQpKEmpr0iCObj57TNmbylIGXXly6fE1jY+He79zQMr01C5UQsiSEJCQhhCyrhFB+6zvmT2zfuHT5mpENNU2T+lLHrkeqsoTQJu4AAAAAVZftaQv11unTi109PT3FobNCEmrzaciKIau866RjQxbeccKJUw6b+N/++3f+/ur/niS5LKRZkmQh+dFPHrrkss8P9Pec/799uC6MeAP3KKZgWUIIAAAAUHV7ft9ffWOpe3t7e1+hYUxIk5DteJNflpUmTJwQQqVxzJjuntLS//no+pc2n3rK/KH7lMqV226796c/e/i//l9/N25y64SabGNx9L7MASdgAQAAAFRbFrI9bDdVGuzf3NG3eWvNEa31WZaEJEmSJIQklAeTNM2y8NSaNQ8t7/h/vv6V1ua6iePqhm6XZeEv/vx97R3dAwPJnU+v3jg40s2ssmSkX+lAErAAAAAAqizb8wysl1/aUNNR6i2Wj5k1rq4mC2HHHKysErZu3HTeO2e9bd7cFzp7f9dRbhtXqUv7CvW5utokybLBwVJ/qdJeqnzt20v29IrD4Q2s+mzifmiziTsAAAAccl6/iXt/blxW3n0qyo1rPmbqEX3buzv6k9lHFF6dEJWFJN2+tfddH/iL446d1ZwrjSv3bezs6Q3p1p7y5u7i5p5iV7FUKg4cVl/6y7eOfWX173/f0TuCoaZpUl/u/KPxVGMTdzOwAAAAAKouC3tY5Lfy4Yc+cOoZobtv1XOb3zF3QtuE2hBCCMkrW3teqjScMrUxhKyltRCScEpIQhgKXMnObdizLEuSI/7HglP/29X/5SsPPLn/E6rMwOINMwMLAAAADjm7m4E1tlLZfSoq93U3vOWowxsKlVK5uz+bdURTmoZyOfvhIy+d/d631NQkYceeWFkSQhIqIWTJLi8RTJIkhDTJ15185unvGNze19X13Lau4UepNE3qy9t3PVKVGVgC1qFNwAIAAIBDzh4CVmVP56/7/e/fvvCcpKu3ZyDr6yp2bB98+vcds97afNikhiQJry4qTEISsiTJwtBrCrMshCQknV193d39vX39pay25cipbz3p1HPa8ssef2ZgeBErzaXDD1hpmtbU1CRJsqcN6cNIA1Y6gmsAAAAAOJCybC8/g9teWfI/vhNaJpVC0ltK124e3FpM5r1lfAh/WHqYDSWrbMfqwRCSJCQhSQeKWbkSsizr6elpOnJGd8fW0y+/9O7/8umWmmTvD/3Dz7DV1dXNnPnWI488sra29sD+eczAOrSZgQUAAACHnN3NwGra0xLCId2bXnpu/fqmo2YN5nIbB7ILT53aUJe+Ovdqxz5VydA/O39CCCGse7lr+hGTxjTUbdjYPmXy2N5tW0OaFo6cdsasI+594NF9zsNKc0l9pWvXI3uZgZXL5dra2o466qhisdjV1bXbOWWWEL4ZCVgAAABwyHl9wOpLmyrlPS4hHNK7ZdPKRx7Y2N376b88bVZbfRKyJCRJGPpnx/++RhJC05h8e3tvT29/y6RCLlceM37ic6temJAvNh57wtvSwR/++pm9J6w0TRuGHbDK5XJHR2d9fd1b3jKjXC5v37799Q3LEkIAAACAQ9TwVvNl2WmnnvrOmWNCGNrhamiyVZIkf9SuXv3PLAuhLp9Obm6Y0jymvj6XZJUxjTXbc2MntU7qfXn9O//3v7l0/ux9rR/cv7cQ9vX1rVjxzIYNG+bMmX0A1xIKWAAAAADVNrxMVNs0/oPvO64mHWpXO94yOPTRayJW8odDrx4e2tW9Uhw7tr6vlEydMq7Y33flP151eN1e69D+9asQQujr61u79oW6urojjjgin8/v9/W7I2ABAAAAVF02nJ/Z7zhp5viaLGTJ0G7tQ1e+us/6H1rTLm8B3GVl4Y5/T25u3Lilr6Gp4bAxufGHH/5/fvSMfT13/zQ0NBx55PSBgYF169aNeNej1xCwAAAAAKpuWOsHjz/+xCnjc0PvGUxeLUtJCFmWZVmWvHqnXaPT0H8lyc63E2YzJjc8v7kvZCGpTRsLDR9fdNFhtXt+DeJ+BqyGhoZjjjm6ra1t1apn165dWywWD8QfR8ACAAAAqLbs1Qi1NyE7+rg5aZpmOy7JkjB02VB+2uVlhGmShJBku8zEyoY2zQohJP39/YOVNIQkzbJQ7Mm3Tf3QO+ft+aH7oa6ubu7cOYcfPnXlylXPP//8gapXQcACAAAAqL5hlKK0oWn62PT5V7qSJNn9Ar/XvIUwGXo5YZaESgiVJKskWSUrFlc/93xfOSsVy1mlHMrFbLD7lJNPeiMD+8MI07Svr2/58uUHcO7VkNe+7xAAAACAUZftMxXlmsY35yuvvLypddz0xnyaJCFklVc/TF5dKRiy8Gp1+sMCwD/cecvGzcVyVpNL2tt7J0+sC1kWSv1trc17fvp+BKyBgYHVq39fqVTK5fLwrxoOM7De7CqVyr5PAgAAAA6qLOxzB/dcWlMslXNZad2m9lApZZXKq4v8shAqIVRCVg5ZOcl2/BJCZecWWEP/zrJsy7auEEKWJJu3Db4arbJt/Xt++v6sIaxUKsVi8YDXqyBgvcmVSqX9XM0KAAAAHHjD2cK92N2xYn2pVMo6OrqyShbK5VCuhF32qUqSkCS7vXsWsiyrlLt6B7vLSRZCTzndsKVYrITBUnjq972/W9exl+eO4p9hjywhfFPr7++vqakJIaRpmuz+/+MAAADAwZftewlhqXPLS4NZtqr7mNmFnsFKIZ+ELIRKFkLIkjRJQjb0rsEdM6eSoflTWdiZobLuvmKShk0dlZ5cun0w++GD7VkWQhJWrVq5x6fHMfFFwHqz6+7uzufz+Xy+2gMBAACAN7d9l6Ls6d8+2frW2b9Z3tEypf+tbY1haKP2ocWBf5iItcvdsiwkrx7KQrFU6R3I1nbVN07MZSHNQgg1SX25476HHoljotUeCViEwcHBwcHBao8CAAAA3iwKjcM08QAAENtJREFUhcJrD/1hw/W9efg/7vyz/3dx6dddT63avr2jOHN6oWlMLgkhJDt3bQ875l7tkPzh9iH0D2ZPrh7cWEi3Pfu7k97xtqRUfu63j//n4m++0jOwx0fuSGBVltvNn4xDR2NjYwhBfgIAAIBDSD6fL5f/6KVqfaGhXNr33ufl3q5NA9nJC89sGhzc3lN+cWN/+/ZiCEl9XS5NhxYQJmHHv5MwNMcqhCyEju7y6pf6n147kJtx+Pe+828L5h0/LpTfOSn3z5+5cmPn9r08MVeTa0z6/uhILjcUInK5kcyLGtkW72ZgAQAAAFRZNrwZWCGEp//ztnvbjrj0owsH124qDhRf3lba1N6dJsm4Qs3YQq6xPldXm6ZpUsnCYCnrG6hs7y23d5X6i5W0Jm2eddjz20vt69c/9PhjxxzzlrEd/RsHynt/bhbHDCwBCwAAAKDqhr8HVbZl5Yrfr3775BlTmnr7+zd2lMuVcsi2dJa2dJZe3e0qZEOrCpMQQkiSpKG50Dh14uqXto/t7evp6br/B7fe/4MDPrCDSMACAAAAiMCw3/c3ODg4qVzsevalLRPHTZs7tba7b7C9p9TdX6lUdszjSob2xAq5fK6huVA3qenl7QPPP7Nx0uBgT319afvWSN4tOHwCFgAAAEDVZcOPSlu2bs3SZEySNG7vWvd0VxjXWD+2saF1wsTaJAyWKsVKCCHJpZWa5JX+8ubO3r4n1k1KKlNyaUjCpvb2bKBnf6ZVRZG6BCwAAACAKsuyLBt2Ktq8bs17TmxpG1dTLFXatxdfeKXvhY3b+l/Knp/QVB7b+M7J9Rt7Spu7St3rt0xMKvUhHDWp7ojWhsOa69MkvfH7/zPbn+lX+3XywSNgAQAAAERg2KWo0rXlN8+unfbOGTX50DCppm3S2GNnFH71TMfW7r7ksLEnTq57ulLpW7d9TD55a1vTUVMbmxrTELIQkhDSRx55NI45VfsnrfYAAAAAAN70dryFcHg/WfZ/f+vOjp4sVHZc2FSfnDJvfFYspQOD61/cUu7tL2bhvcdOOPGowo56lYUkC799Yev/+vkD+/Gg/VnYeFDlCoVCtcfAyDU2NoYQBgcHqz0QAAAAYLjy+Xy5XNn1SG8lXymVh3+Hjc//7omXi2lTW3t/0ttX2dRZfPT32zd3dDVu3tSxfnPXy5tf6e7vqSRjxtQ11dckId3eV1nxUs+Pf/bo755Z3t3TM/wHpTXpmPSPskMulxsKEblcbsdrDocty7JKZT++5k5Ja2vrCC4jEs3NzSGE7u7uag8EAAAAGK5CoTA4WNz1yLZyob9vv6enTBw3fsyYpvEtU+sbGmY0j506paV5/IRxTWNranIhSULIekqhWNOQJNlA55aBns7unt4XX3rpl//f/9rasW2Yj6hvyE/M/VF2yOdrh0JETU1tmu7f2r5KpVIqFfd93uvYAwsAAACgymrTSv/+r9Xb1tGxraNj3UvrQgi/3tNJQ3OkRroQsDat7OmjUqmYz+f3ZxJWNrJ6FQQsAAAAgKqrT4s9ubRS3mMtGrk3sIdVmkvr0+Je7jA4OFhTU5skSZLsLWNlWZZlI69XQcACAAAAqLrarNjY0NjdNZL9oQ6exoZcbTaw93PeSJYaPgELAAAAoPoKSV+psaGvdx/BaNQ0NNYVkr5qj2IHAQsAAACg+tKQja/pyxXqe/tKldJBWEs4/JHUpI0NNU1pX/pG1h8eUAIWAAAAQBTSkI1L+xrG1PZXaoulcDB2xNq7XBpqa0J9Ws6HWOZeDRGwAAAAAEZVlmVJkmTZ7uc35UMxnxZDfpQHNSxJklQqVZgdlo7+IwEAAADezMrl8t5f2xetNE3L5SrsNF/T3Nw8+k/lwCoUCtUeAgAAADBc/f39+Xy+GjOZ3qgkCW8wYI0sYtR0d3e/kacCAAAAsL9qa2tzubQ8+ttcvQE1Nbksy0ql0hu5ychKlCWEAAAAAKOtv78/l8ulaZqmsceZJElyuVwul8uyrK+vOpu728QdAAAAYLRlWdbd3V1XV5emaW1tTcxbYlUqlXK5XC6X3+DcqzdCwAIAAACojoGBgWoP4dAQ+yw1AAAAAN7k3qQB6+ijj/7IRz5S7VEAAAAAsG+HXsCaN2/eueeeO7JrZ82a9bnPfe6II454xzve8aMf/eiAjGf8+PGXXHJJfX39AbkbAAAAEIn58+f/+Z//+TBP/tznPjdmzJiDOp43s93vgbVo0aIpU6aEEAYHB7ds2fL000//5je/ybJsdMe2G+PGjTv22GPvuOOOnUfe/e539/f3P/HEE/u8trGx8W1ve9u3vvWthQsXLlmypFgsDueJe79/mqbvf//7//M//7O/v3+YXwEAAAA42BYtWhRCWLx48a4Hm5q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alt="Monitoring ▸ Trạng thái Agent"></div>
+
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="ttl">Monitoring</div><div class="r tb"><div class="tab">Tổng quan</div><div class="tab">Bảo mật</div><div class="tab">MCP</div><div class="tab">Hành động</div><div class="tab on">Agent</div><div class="tab">Agents Admin</div><div class="tab">Công cụ</div><div class="tab">Icon</div></div><div class="c grow"><div class="r tb"><div class="ttl">Trạng thái Agent</div><div class="grow"></div><div class="btn">⟳ Làm mới</div></div><div class="tblwrap grow"><table class="evtbl"><thead><tr><th>Agent</th><th>Trạng thái</th><th>Nguồn</th></tr></thead><tbody><tr><td><span class="ic blue" style="display:inline-flex;vertical-align:middle;margin-right:6px">👤</span>Cowork Agent</td><td><span class="pill gry">● Rảnh</span></td><td class="dt">Lượt đang chạy của tab Cowork</td></tr><tr><td><span class="ic amb" style="display:inline-flex;vertical-align:middle;margin-right:6px">⏱</span>Task Agent</td><td><span class="pill gry">● Rảnh</span></td><td class="dt">Task đang chạy trong Schedule Task</td></tr><tr><td><span class="ic pur" style="display:inline-flex;vertical-align:middle;margin-right:6px">◈</span>Knowledge Agent</td><td><span class="pill gry">● Rảnh</span></td><td class="dt">Ô hỏi của GraphRAG</td></tr><tr><td><span class="ic gry" style="display:inline-flex;vertical-align:middle;margin-right:6px">▦</span>Planner Agent</td><td><span class="pill gry">—</span></td><td class="dt">Một giai đoạn trong lượt Cowork/Task đang chạy (update_plan) — không theo dõi riêng</td></tr><tr><td><span class="ic gry" style="display:inline-flex;vertical-align:middle;margin-right:6px">⬡</span>Reasoning Agent</td><td><span class="pill gry">—</span></td><td class="dt">Luồng suy luận (reasoning) của model trong lượt đang chạy — không theo dõi riêng</td></tr><tr><td><span class="ic red" style="display:inline-flex;vertical-align:middle;margin-right:6px">🛡</span>Security Agent</td><td><span class="pill grn">● Bật</span></td><td class="dt">Kiểm duyệt prompt/đính kèm/lệnh của Agent Security — chạy inline trong lượt đang chạy</td></tr></tbody></table></div></div></div><div class="dock fab" title="AI Assistant — trợ lý cách dùng app"><span class="spark">✨</span></div></div>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Bảng thật 3 cột (Agent · Đang chạy · Nguồn, <code>ui/monitoring_tab.py:_refresh_agent_status</code>) chỉ dùng chữ/icon đơn cho trạng thái — khó quét nhanh dòng nào đang chạy khi bảng dài.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Giữ nguyên 3 cột <b>Agent · Trạng thái · Nguồn</b> (không chuyển sang lưới thẻ, không thêm cột mới) — chỉ thêm icon màu theo loại agent trước tên và badge màu cho Trạng thái (xanh khi đang chạy/bật, xám khi "—") thay cho chữ thuần.</li></ul></div>
+</div></div></section><section class="sec" id="monitoring-agents-admin">
+<div class="hd"><b>14. Monitoring ▸ Agents Admin</b><span class="tag">ui/monitoring_tab.py:132</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Quản trị agent hệ thống. Cũng là nơi chọn model cho robot trợ giúp.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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mABAAAAkGgCFgAAAACJJmABAAAAkGgCFgAAAACJJmABAAAAkGgCFgAAAACJJmABAAAAkGgCFgAAAACJJmABAAAAkGgCFgAAAACJJmABAAAAkGgCFgAAAACJJmABAAAAkGgCFgAAAACJJmABAAAAkGgCFgAAAACJJmABAAAAkGgCFgAAAACJJmABAAAAkGgCFgAAAACJJmABAAAAkGgCFgAAAACJJmABAAAAkGgCFgAAAACJJmABAAAAkGgCFgAAAACJJmABAAAAkGgCFqOqVCqTPQQAAADgRSOO4ziOJ+LIAhYjK5VKE/QzBwAAALwkVSqVUqk0EUfOTMRBeQnI5/OZTCaEkEqloiia7OEAAAAAyVWde1UqlYaGhibi+AIWo+rr68vlcrlcbrIHAgAAACTahNarIGBxYIVCoVAoTPYoAAAAgJc1a2ABAAAAkGgCFgAAAACJJmABAAAAkGgCFgAAAACJJmABAAAAkGjuQsiBlBpn5GcuK9W2TvZAJlYm31Xb+WCmb+sB9mlubm5qakqlXsTNt1Qq5fP5rq6uA+zzEjjNMLYzBQAAOGwvjY9O42uiP4hFM2fOnKBDcxS0tbWFEPr6+ibi4H0Lzt21/MNxKjsRB0+aqFKceu+1jc/fPuKjxxxzTAihUCjEcXx0xzWeUqlUJpPJZDIbN24ccYeXxmmGMZwpAADAYRuXj067du2qflNbWxtCSKfTURSNy/AmQhzH5XK5VCqVSqXJGoMZWIys1Djj5VOvQghxKrtr+Ydrt6/afx5Wc3NzCGFoaGgyxjWeKpVK9V/Ypqam3t7efR59yZxmONiZAgAAHLZx/OiUSqXq6+uLxWIUpYrFSQtDYxFFURRFuVxNNpvN5/OTMunBbDdGlp+57OVTr6riVDY/c9n+25uamgqFwtEfzwQplUrVf3D38RI7zTD6mQIAABy2cfzoVF9fXygU4zhUKpVxOeDEieO4UqlUp181NDRMyhgELEb2kl/3akQjnnUqlXqxX1K3tziOR7xO+yV2mmH0MwUAADhs4/XRqba2tlgsHvlxjrJyuVIqlWtqao7+S/t0BwAAAHC0RdGLtclMylyBF+ubBQAAAPAilU6nk3/l4IgqlcqkBCyLuAMAAAAcVQe+52A511TKTimn6yohHY7mzQnjkArldHkwU9ydLox6R6xJuWGigAUAAACQCHEqM1Q/qxDq4koIk3FnwnJIF0NjlGvM5QZrBjZFlaTcHlHAgqMniqKGhobm5ubdu3cPDAy8NBZNj6KosbFxypQpqVSqUqns3r27r6/vpXFqAAAAR1Ocygw0zCuWMyFM8kequBLyobbcMK++f11CGpaAxQSJoz2/cJMwsXByZbPZmpqavQtOoVAoFoupVGrOnDmnnHJKNpuNouiHP/xhf3//JI5zXERR1NHRccYZZ+RyuXK5nE6nC4XCr3/9682bN2tYAAAAh2SovqNYSk96vRpWLKWH6jtq+9ZP9kBCELCYIA3p8pRMaXcp019+ef2M5XK5ZcuWdXR0pNPp6pZ8Pr9q1ar169fPmTPnxBNPfPrpp9euXfvmN7+5ubn5oAGrpqbmn/7pn2644Ya777574sd+aKqdrqampqOjo7e395577qmu5HfmmWd2dHTk8/mhoaGhoaEX431hAQAAjr5ytnEork1Ovaoaimuz2cZ0se8A+2Qy2VQqOtj8lbhSiUulw/+E+PKKCxw1s3IDr27oeqi/dfVg89if1ZhL9V695KM/6vznu3fu/+gfntD8lT/s+MYD3R/9Uef4jXScNTc3L1q06Kc//WmhUKhuqVQqhUJh7ty5S5YsWbt27bp16xYsWFAsFnt7R10Pb9jQ0NA111xzwQUXJC1gRVE0a9asRYsWNTU1FYvFXC538sknVx9qbm6ura2dO3dub2/v6tWr161bN8apWC0tLVdcccU111wzlncGAADgJaaYbY7LyapXIYS4HBezzQcIWLlcbmyXXkWpVJTL5YY/LB8qAYuJEYdUdKBw/Ms/W3DWvPq9twyV4ml/99Ro+89qzv7tudNP/OdnV7xj1oWLG295+kD1dxLV19fn8/nOzt8mtmw2O2fOnEWLFm3cuLFar+bPn//AAw/sPf1q/vz5b33rWxcsWFAoFO64444f/ehHww+97W1vu+eee47mKYzRwMBAsVjMZDJr1qxJp9P5fL66vb+/v1wuH3/88cVicWBgYHj/E0444bLLLvvEJz7R19cXQpg2bdonPvGJv//7v9+6dWsIIYqid7/73d/4xjfUKwAA4OWpnKqNKwcKWCd1tL5mTutfXvlnn/vHr/77r54+mgMb7aFMJnuICwdFmUz28OZhCVhMjr/8387WuvTsKdnr39rxmTt33PV8/4FD86ae4quueTaEcPaX1x6dEY6Lar1auHDh5s2bN2zYMH/+/NmzZz/66KMbNmwYnpdUX1//sY99bMWKFddee+3UqVPPPffcvY/wqU99qvrNsccee/HFF19zzTVH+xxGEsfxzp07N23aVFdX98gjj+y/w6xZszZt2rRz587h01y1atXjjz/+lre85Vvf+lYI4V3vetfKlSur9ap6wOuuu+6ojR8AAGASpVKp/TeW41QY/fqV9/7BeacsP7M1m/3V032z5y4Id486/2PcleMRRluVSh3ystdRdJgrZQtYjJe4IV2elRuozrqaWzvYmi3OrR3c82AUNhXq+8vp4TT7mw2DIYTjp9eEEB7pzN+6ui+E0JhLhRCmNaRv/dN5r19Qf9/G/Ntv3LC1rxRCmNeSve4POl47v37j7uJf/Khz5TN91esNP3vXjtPn1J0xt/6nz/R99Eed17+144y5db9aN/j2Gzd0DZaP/ruwt0wmM3v27IULF27btm3Dhg1z58495phjnnzyyY0bN1YqleHdWlpaUqnU/fffX6lUtm7deuONN4YQGhsbP/OZz1xxxRXVfT72sY8tWLDgO9/5TgjhrLPOetOb3jR16tRnn332K1/5Sk9Pz6Sc3WH49re/ffXVV991113Tpk2bOnXqcLFqbW195zvfuXjx4mKxeN99933/+9+vrpz14j1TAACAqlQqNWXKlJ6ennK5PLxl1qxZzz777H77xqNex5SrP+PUs7bu7G+dmW2a3vTa00+4bPvWH//yoSUzW3+xbmdhMq87PHoBa9SKBockCmFKpvTqhq5TmrpOaepaVN/bns0vqu+t/vXVDV1TMqUx/pD+2elTv3p/15//YMvr5td/9LVtIYRsOvrJ++alonDKtc/+96qe/750Tlv9niXS37us5bN37fjsXTt+b0nTPX++4OsPdF/xP1vOO7bhA6e3Tti5jlVjY+P8+fN7enqq9aq9vX316tVbt26dO3duNpsd3m3Lli2bN2++4oorpk2bdoCjfe1rX/v5z38eQpg9e/b1119/5ZVXhhDOO++8iT6LcdTT0/O9733vne985yWXXPLNb36z+s93FEUf/vCHt2zZctVVV33uc59buHDhxRdfXN3/xXumAAAAVdlsdtGiRccdd1wmkwkv1KvFixePsGs8+tfQwLfueuCi8191/huPe82rj3nl60751BeuvuM//uH6Ff/+njOWHOiJ4/WVAGZgMT7iEHaXMg/1tw7PwAr1YfVA0/p8XQghRGF3KTPGn/kbH979ncd6Qggfe13b0hk1IYTzjm1YPL3mLSs2rNlZ+NQd2686Z/r5xzX+6MneEMIND+++dXXfyjX9/9/Z0+5ZP7jioe4Qwl+fO31pe83EnOghaGpqampq2rFjx3HHHdfc3Pzss8+uX7++sbHxhBNO2LZt2/Dt+eI4/vznP//mN7/5b/7mb+67777vfve7g4ODBzjst7/97eo3v/nNb0466aQJP41xdffdd//hH/7h+vXr165dW92ycOHCXC73P//zP3Ec9/f3f+c737nssst+8IMfhBf5mQIAAIQQSqVSd3f3woULoyh67rnn2tvbFy9e3N3dPdK+cTxKK4rSmYsuuXDe9GyIyyGEqFLauHbTHY/sWvD4ppWrnht+VnMmXPKaE19/xqvmz27PZTK7e/tXP7vhRyt/tfL5ncloUEdEwGK8RP3lzN73HJyeza/P163OH8JdCKue79pzS4Lt/eW6bCqEsKA1F0J44qPHDu8zu3nPDKaNu4shhHIl7hmqrOve88RdA3ueOInS6XRTU1NbW1scx729vWvWrNm4cWOpVEqlUrW1+y6AVygUvve9761cufLtb3/7lVde+elPf/oARz711FNPP/30Y445ZurUqU8++eREnsT4u/DCC1evXj1//vxFixatXr06hNDW1rZ169bhpbK2bds2ZcqU6vcv6jMFAAAIIZTL5eeeey6EcOyxx86ePTuTyWzbtu3pp0dYgj2O49HWwFq0/Iyls9vjuFBdcio/WHrikfWNtdnjX3nMMbmwNo5DCGcsmHH9P/zfGccuCKE8PGlq2QWZd37gfSu/9q3L/vW/Bw83Yo3txvITTnHZOBAAAB3xSURBVMAicfb/3djSWwohnPjPa9Z27Zm1NFSOa9L7XpKYkF+qqkql0tnZ+etf/7qvr6+3t7evr69UKh34Kb29vV/72tc+//nPz5s3b926ddlsNpPJVJ/V0tJS3efYY4+95JJLbrjhhs2bNy9evHjZsmUTfibjZ9asWeedd94nP/nJhQsXvuc977n66quLxWJXV1d7e3sURdWGNX369J07d4YX+ZkCAAAMKxaLzz//fCqVWrJkyebNm5966qm970r/u0b+WHvKmcvzO3eH9ro4DlEUausyZ59/fCZXm8rWv/W8M++56fb6+savXPs37R1tcVwKIY5CiEIUhxDHpRDK57//Tz+5o+vK/7z9cM/gMFetGl/WwGJiRKESj9sP+e1r+rb3lz5/0cwl7TUnzqz9l98/pnjgexYmQBzHXV1dq1ev3rBhQ3d39wHq1YIFCy666KKWlpZsNrt06dJcLrdr165SqbRt27YLLrigtrb27LPPbmtrq+48bdq03t7e9evXhxBOP/30o3Qy4yGVSr3vfe+7+eabu7q67r///h07dlTXuqquXPj7v//7DQ0N06ZNu+SSS+66667wYj5TAACAfRQKhWefffbOO+985JFHDlSvRlmCaua8ecXe/v7+YnWvEIVsLhXiYogrZ5x6YojDaa9e1n7M1M/949f/78f/MYrScUjFURSH6Me3/vJ97//roXz/O9/9lppw2AtgJeIDuBlYTIhNhfq+Sm53aXx+wHqGKhd/Y/01/2fmne+f3zVY/q9Hk3s3ulKplMlkUqlUpVKJ43j4NhPDcrncPhu3bdt2/vnnX3311el0euPGjdddd11XV1cI4Vvf+tZ73/veiy666K677hq+P8VDDz20fPnyT3/605s2bbr//vsXLVp0dM5rf3EcVyqV4ZPd+6FUKpXJZKrvwPDGiy++uFwuV+NUCOGmm276xCc+cf/992/cuPGaa6659NJLP/OZz/T19f3iF7+47bbbQpLOFAAA4MgVCoVdu3YdcJfR10uvrS/19XR1DTbWNYRUFOI9d/KL41Lr1NYQKvUNDX39pZW3/3rjpu1veP3y6nFK5cpNN/3wJz+9+x/+/mNTps9szcSdxXE+qaMpmjlz5mSPgcNXnZjT19c37kfuPuHdu0+89AgOEEd7fvMSMdVwjKY8dkPLqhv32ThnzpzRA/m+amtr3/SmN9XX14825aq2tnb16tUPPPDA8CLuR19DQ8OGDRv22XhIp1k1derUs88+u6amZp8kl06nh4aG7rzzzoP96zzhRjxTAACAw3YYH51GVCgUCoXf+VS4u3ZeqVgZceePXPel2dt2v2pB07KlLSGKQhRFURSHKKSy2x998pV/fNWsRUs+87EPz51RO7OtZuqU6j3N4jgO5XKlq7tvaCi66+kdH/3oXx3eTKpMNjUlv27vLblcthoicrnDuX9aoTB0OMM4jOfAGESJmGJ41OXz+VtvvXXq1KnVO6Tub2BgoKenZxLr1Tjq6uq69dZbW1tb0+n03tvL5XJXV9eB76UIAADA3uLRZ2Bt2bQ5010aKJaXLppSk4lD2DMHK66EnZ1b3376opNOWLJu98Az3eWOKZWa1GBjbbomG0VxXCiU8qVKV6ly7VdvHO0Wh2Mb2OQTsGCc5fP5zZs3T/YojoY4jgcGBgYGBiZ7IAAAAC9+o19B+NQjq45b+uq+7p5b7932e6+ZEYXq/QrjEMXZ5raP/vVVTZnK9u09u7oGnt3VF+obO/vSIYQoirPpuDYUj2kIX7r0dV/4tw0/WbvjMAeWAAIWAAAAwKSrZqkRPHn3L9/8hnND3+BTq7eftqS1ozUbQggh2razf1Ol7vWz60OIZ8xsDFF4fYheWMknGl6GPY7jKJrzH298w+c+/snP3/HwoQepRBQsdyEEAAAAmGxxHIeRvwo7O+975ul0LhficPfDO4qlEIdQKscrH+g8/dR5IQohiqIQojiO4jiKyyEuR3E5xJUQV0IcVx9M1df81Rf+7r/+9OI3HzszjPJCI36NltWOMgELAAAAIAni0b7u/PaKoZltcSq1Ydvgnb/Z9uCqrp/+uvOkxe25bCr89u5pUYhCXF3fPYSwpzxFu3sGd+zs2bFjV0++fPJbf++Dn/jbGz741impUV9rv69DkEqlstnsPgsljwsBCwAAAGCyHXAiVGHXthv/4+thxrRSiAZKqbXbCzuL0QmvaAnht5cexuGFpbH2ZKcoClGIUkPFuFwJcRz39/c3zV/Q173znA9c9v1PfmhGJhrrNKwxq6mpOfbYhfPnz89ms+P79ghYjCyT75rsIUyCEc+6VCqlUi+d35RUKlUqlfbf/hI7zTD6mQIAABy2ifzodJBO1Pnovd/45pfXlIdW9Q+t6itffMas8Nu5V6Ey/Pxor68QQhzv6s63t7dOb5vS29ufSVXaW2t2bts546zX/MfffWTKmGZKHULAqlQqdXV1J5xwwrg3rHRjY+M4Ho6jrL6+PoRQKBTG/cipQm/fcReFaPxn/SVWVCm2PnR9qtC/z/ZMJlNTU1MulydlVOMunU4PDQ3l8/l9tr/ETjOMfqYAAACHbbw+OpXL5XK5sveWwVRT5Xe37G9gx9Ynf3VHZ9/Ah9569qKO2ijEUYiiUP3fnj/3EYXQ1JDr6hroH8jPmNaYTpcbWqaufmpda65Yf+KrT0oVbr7viQMHqlQqVVfp3XtLOp2uhoh0et97A5bL5e7u3bW1Na94xYJyudzT01Op7HtSh/fuvaQmXDCOMn1bp957bVQpTvZAjpKoUmy799pM39b9H+ru7k6n09lsNor2+5fgRaV6KXJNTU13d/f+j75kTjMc7EwBAAAO20R+dBrruupnv+ENpx/bEEJcXfRqzyLuvzueF/4axyHU5FLT2+ra2xpqa9NRXGmoz/Skm6fNnDawZePp/8+fXrZ88cGuHzy0ZbAGBwcff/yJzZs3H3/84nGch7VvKoNhjc/fXrt9VX7mslJt62SPZWJl8l21nQ+OWK+qNm7c2NTU1Nzc/KK+yK5UKg0ODm7d+hI/zTCGMwUAADhs4/LRaYRLqcaWibJNLb//uldlXli6Pf5tqwpRFIX4twtWRSFUb0AYxy+0rTgOIQqVYnNz7WApmt0+ZVd+8MNX/cX/XvLBTUOjT/469JsQDg4Orl27bsGCBXPmzNm8eXOxOA6TYwQsDiTTt7VxzS2TPYpE6O3t7e3tPfh+L3Ivk9MEAAA4Ekf+0WmkBZ3GNNdp8WmnHtuSiUOcCiF+IV3FcTVV7fX83y1ZLzy0Z//pbfWdO/qOXTDlmEKcr531V2879yM3/HT01zzkglVXVzd//ryhoaENGzaM16pHL+55FgAAAAAvCWO6fvDkk5e1t6Sr9xmMXihLUQhxHMfDU61+N4XFeyZqDd+dMF4wve757YMhDlE2Vd9Y947L33tMdvTbIB5iwKqrq1u69JUdHR1PPfX02rVrx2X6VRCwAAAAACZd/EKEOpAQv/JVx6dSqXjPU+IoVJ9WzU8vtKYohFQUhRDFe83EiquLZoUQonw+X6ikQohScRyK/bmO2X9w+gmjv+ghqKmpWbLk+FmzZj/55FPPP//8eNWrIGABAAAATL4xlKJUXdO85tTz23qjKIpfmFr1O0/bZ2X5qHpzwjgKlRAqUVyJ4kpcLK5Z/fxgOS4Vy3GlHMrFuND3+rNOPZKB/XaEqdTg4OCqVavGce5VlTWwAAAAACZdfNBUlG5qactVtm3ZOnPKvPpcKopCiIcXX49euFIwxOGF6vTbCwB/e+QdnduL5TiTjrq6BqZPrQlxHEr5jplto7/6IQSsoaGhNWuerVQq5XJ57M8aCzOwAAAAACZbHPaaUzXyVzqVKZbK6bi0YWtXqJTiSuWFi/ziECohVEJcDnE5ivd8E0JleAms6n/jON6xqzeEEEfR9l2FF6JVvCs/+qsfyjWElUqlWCyOe70KAhYAAADApBvLEu7Fvu7HN5ZKpbi7uzeuxKFcDuVK2GudqigKUTTi0eMQx3Gl3DtQ6CtHcQj95dTmHcViJRRK4ZFnB57Z0H2A1z2Kb8OoXEIIAAAAMNnig19CWNq9Y1Mhjp/qW7q4sb9QacxFIQ6hEocQ4igVRSGu3mtwz8ypqDp/Kg7DGSruGyxGqbC1u9KfTvUU4pt/0RXHIUThqaeeHPXVD20Z94liBhYAAABAAhzkCsIQ4vjRxx6uNDQ/uKqnc0c+DlEcwp6V2+M4rlTicjkuleNyOS5Xhv8MlcrwQljFUmVgKF7bW5tLpeOQikMUMqna0POjX/5q1BdNBgELAAAAYLLFB89XIcR3f+87qWPnleL0I0/1PPTE7t7+cvzC7Ko9B4njUAmh8sL1fyGqFq7qXvlC/PCawqZK4TdPP9PVPnV325T7Njzzl1d/qrN/aPQ1sBIRsdKNjY2TPQYOX319fQihUChM9kAAAACAscrlcuVyZe8tg6GuXDr42uflgd6tQ/FZF57XVCj09JfXd+a7eoohRLU16VSqegFhFPb8NwohNXwPwu6+8ppN+UfXDqUXzFrx9W+88YSTp4Ty6dPSf/f/frhzd88BXjGdSddHg7+zJZ2uhoh0+nBWpjq8Jd6tgQUAAAAwyV64meDBPfqDm37YMeeyt11YWLu1OFTcsqu0tasvFUVTGjPNjen62nRNNpVKRZU4FErx4FClZ6Dc1VvKFyupTKpt0THP95S6Nm785QP3L136iubufOdQ+cCvG8dxGHFh+KNLwAIAAACYdGO/Ui/e8eTjz645ZfqC9qaBfL6zu1yulEO8Y3dpx+7SnhWxQtizQlYUQghRFNW1NdbPnrpmU0/zwGB/f+/P/vtrP/vvcR/YBBKwAAAAABJgzKtNFQqFaeVi79ObdkydMnfJ7GzfYKGrv9SXr1Qqe+ZxRdX13UM6l65ra6yZ1rSlZ+j5JzqnFQr9tbWlnp0JWdlq7AQsAAAAgEl3CMul79i5M05FDVFU39O74dHeMKW+trm+bmbr1GwUCqVKsRJCiNKpSibali9v3z0w+NCGaVGlPZ0KUdja1RUP9R/KtKpEpC4BCwAAAGCSxS/cTXAstm947jXLZnRMyRRLla6e4rptg+s6d+U3xc+3NpWb60+fXtvZX9reW+rbuGNqVKkN4bhpNXNm1h3TVpuKUl/4z9vjQ5l+dUg7TxwBCwAAACABxlyKKr07Hnx67dzTF2RyoW5apmNa84kLGu95ontn32B0TPOy6TWPViqDG3oactHCjqbjZtc31adCiEOIQkj96le/TsacqkOTmuwBAAAAALzs7bkL4di+4vifvvKd7v44VPY8sak2ev0JLXGxlBoqbFy/ozyQL8bhtSe2LjuucU+9ikMUh8fW7fzNnXccwgsdyoWNEyrd2Ng42WPg8NXX14cQCoXCZA8EAAAAGKtcLlcuV/beMlDJVUrlsR+h8/lnHtpSTDV1dOWjgcHK1t3FXz/bs727t3771u6N23u3bN/Wl++vRA0NNU21mSikegYrj2/qv+Wnv37mi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" alt="Monitoring ▸ Agents Admin"></div>
+<p class="rg"><b>Nút Kiểm tra</b>: probe provider thật</p>
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="ttl">Monitoring</div><div class="r tb"><div class="tab">Tổng quan</div><div class="tab">Bảo mật</div><div class="tab">MCP</div><div class="tab">Hành động</div><div class="tab">Agent</div><div class="tab on">Agents Admin</div><div class="tab">Công cụ</div><div class="tab">Icon</div></div><div class="c grow"><div class="r tb"><div class="ttl">Agents Admin</div><div class="grow"></div><div class="btn">⟳ Làm mới</div><div class="btn pri">+ Thêm</div></div><div class="s">Agent quản lý hệ thống, dùng chung mọi máy (lưu trong thư mục dùng chung): agent trợ giúp và agent chạy Schedule Task. Đây <b>KHÔNG</b> phải agent để chọn trong Cowork hay Co4E.</div><div class="tblwrap grow"><table class="evtbl"><thead><tr><th>Tên</th><th>Vai trò</th><th>Model</th><th>Kích hoạt</th><th>Trạng thái</th><th>Cập nhật</th><th></th></tr></thead><tbody><tr><td><span class="av red">SA</span>Security Agent</td><td><span class="pill red">Bảo mật</span></td><td class="dt">Ollama — qwen2.5:7b</td><td><span class="tsw on"><i></i></span></td><td><span class="pill grn">OK</span></td><td class="dt">11/08 09:30</td><td>✎&nbsp;🗑</td></tr><tr><td><span class="av pur">GA</span>GraphRAG Agent</td><td><span class="pill pur">Tri thức</span></td><td class="dt">Ollama — qwen2.5:14b</td><td><span class="tsw on"><i></i></span></td><td><span class="pill grn">OK</span></td><td class="dt">10/08 14:22</td><td>✎&nbsp;🗑</td></tr><tr><td><span class="av amb">MA</span>Monitor Agent</td><td><span class="pill amb">Giám sát</span></td><td class="dt">Mặc định — qwen2.5:7b</td><td><span class="tsw on"><i></i></span></td><td><span class="pill amb">Kiểm tra…</span></td><td class="dt">09/08 11:05</td><td>✎&nbsp;🗑</td></tr><tr><td><span class="av teal">HA</span>Help Assistant</td><td><span class="pill teal">Hỗ trợ</span></td><td class="dt">Mặc định — qwen2.5:7b</td><td><span class="tsw"><i></i></span></td><td><span class="pill gry">Chưa kiểm tra</span></td><td class="dt">08/08 16:40</td><td>✎&nbsp;🗑</td></tr></tbody></table></div></div></div><div class="dock fab" title="AI Assistant — trợ lý cách dùng app"><span class="spark">✨</span></div></div>
+<details class="ctl"><summary>Kiểm kê control — <b>11</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>agent.name if agent else </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\agents_admin_tab.py:55</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>agent.prompt if agent else </td><td class="mut">ô nhập nhiều dòng</td><td><code>—</code></td><td class="mut">ui\agents_admin_tab.py:65</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._refresh_model_combo</code></td><td class="mut">ui\agents_admin_tab.py:70</td><td class="mv">→ menu tài khoản ở đáy sidebar</td></tr><tr><td>Lấy danh sách model thực tế của provider này để chọn từ drop</td><td class="mut">nút</td><td><code>self._load_live_models</code></td><td class="mut">ui\agents_admin_tab.py:89</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Kích hoạt</td><td class="mut">ô tick</td><td><code>—</code></td><td class="mut">ui\agents_admin_tab.py:98</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>QDialogButtonBox.Save | QDialogButtonBox.Cancel</td><td class="mut">nút hộp thoại</td><td><code>—</code></td><td class="mut">ui\agents_admin_tab.py:101</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>0</td><td class="mut">bảng</td><td><code>—</code></td><td class="mut">ui\agents_admin_tab.py:169</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thêm</td><td class="mut">nút</td><td><code>self._add</code></td><td class="mut">ui\agents_admin_tab.py:178</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Sửa</td><td class="mut">nút</td><td><code>self._edit</code></td><td class="mut">ui\agents_admin_tab.py:182</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xóa</td><td class="mut">nút</td><td><code>self._delete</code></td><td class="mut">ui\agents_admin_tab.py:185</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Kiểm tra</td><td class="mut">nút</td><td><code>self._check_all</code></td><td class="mut">ui\agents_admin_tab.py:188</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Cột Vai trò/Kích hoạt/Trạng thái chỉ là chữ hoặc icon đơn — khó phân biệt nhanh giữa các dòng khi bảng dài.</li><li>Bỏ [Kiểm tra tất cả] khỏi thanh công cụ chính làm mất lối vào hành động thật (<code>_check_all</code> trong <code>ui/agents_admin_tab.py</code>) — cần chỗ khác để gọi (icon riêng theo dòng, hoặc menu ⋯).</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Vai trò/Trạng thái chuyển sang badge màu + avatar viết tắt tên trước Tên agent; nút Sửa/Xoá dời vào từng dòng thay vì thanh công cụ rời bên dưới.</li><li>Thanh công cụ chính chỉ còn 2 nút: <b>Làm mới</b> (giống nút <code>monitoring.refresh</code> toàn màn hình) và <b>+ Thêm</b> (giống nút <code>agents_admin.add_btn</code> thật) — Sửa/Xoá đã dời vào từng dòng nên không cần ở đây nữa.</li></ul></div>
+</div></div></section><section class="sec" id="monitoring-công-cụ">
+<div class="hd"><b>15. Monitoring ▸ Công cụ</b><span class="tag">ui/monitoring_tab.py:132</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Bật/tắt công cụ dựng sẵn và khai báo kết nối ngoài. Màn <b>duy nhất</b> còn hiện dải tab bên trong.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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g3ggV+QNIquPeSVSXZbvnNgAUAAADAaQsXQgAAAACYa01B6N5eHWweAAAAAElFTkSuQmCC" alt="Monitoring ▸ Công cụ"></div>
+<p class="rg"><b>Tool</b>: công cụ dựng sẵn + tự kiểm tra Internet · <b>Connector</b>: MCP · REST · MS365 · Jira</p>
+<div class="cap">Đề xuất — bố cục mới</div><div class="cap" style="margin:0 0 3px">Tab Tool</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="ttl">Monitoring</div><div class="r tb"><div class="tab">Tổng quan</div><div class="tab">Bảo mật</div><div class="tab">MCP</div><div class="tab">Hành động</div><div class="tab">Agent</div><div class="tab">Agents Admin</div><div class="tab on">Công cụ</div><div class="tab">Icon</div></div><div class="r tb"><div class="tab on">Tool</div><div class="tab">Connector</div><div class="grow"></div></div><div class="c grow pane"><div class="r wrap"><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic blue">📄</div><b>read_file</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Đọc nội dung file text trong thư mục làm việc</span></div><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic blue">📁</div><b>list_dir</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Liệt kê file/thư mục con tại một đường dẫn</span></div><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic blue">✎</div><b>write_file</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Tạo file mới hoặc ghi đè toàn bộ file</span></div><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic blue">✏</div><b>edit_file</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Sửa một đoạn chính xác trong file có sẵn</span></div><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic grn">▤</div><b>run_command</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Chạy lệnh shell trong thư mục làm việc</span></div><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic pur">⭳</div><b>install_package</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Cài package Python (pip) vào môi trường app</span></div><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic amb">⤓</div><b>fetch_url</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Lấy nội dung trang web/tài liệu theo URL</span><div class="r tb" style="margin-top:3px"><div class="btn" id="fu-test">🌐 Kiểm tra Internet</div><span class="s" id="fu-status" style="color:var(--ok);margin-left:6px">✓ Kết nối OK · 42ms</span></div></div><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic pur">🔍</div><b>jira_search</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Tìm issue Jira bằng JQL, trả về danh sách tóm tắt</span></div><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic pur">🔗</div><b>jira_get_issue</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Đọc chi tiết 1 issue Jira theo mã (vd ABX-123)</span></div></div><div class="grow"></div></div></div></div>
+<script>
+(function(){
+  var btn=document.getElementById('fu-test');
+  if(!btn)return;
+  btn.addEventListener('click',function(){
+    var st=document.getElementById('fu-status');
+    st.style.color='var(--fnt)';
+    st.textContent='Đang kiểm tra Internet…';
+    setTimeout(function(){
+      st.style.color='var(--ok)';
+      st.textContent='✓ Kết nối OK · '+(30+Math.floor(Math.random()*40))+'ms';
+    },700);
+  });
+})();
+</script>
+<div class="cap" style="margin:10px 0 3px">Tab Connector</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="ttl">Monitoring</div><div class="r tb"><div class="tab">Tổng quan</div><div class="tab">Bảo mật</div><div class="tab">MCP</div><div class="tab">Hành động</div><div class="tab">Agent</div><div class="tab">Agents Admin</div><div class="tab on">Công cụ</div><div class="tab">Icon</div></div><div class="r tb"><div class="tab">Tool</div><div class="tab on">Connector</div><div class="grow"></div></div><div class="c grow pane"><div class="r tb"><span class="tsw on"><i></i></span><span class="lbl">Kết nối tới connector bên ngoài</span></div><div class="s">Một nơi duy nhất cho mọi nguồn tool ngoài — nhóm theo CAD (NX/CATIA/SolidWorks/AutoCAD), CAE (ANSA/ABAQUS/HyperWorks/ANSYS), MS365 (Microsoft 365/OneDrive/SharePoint) và Other (MCP server bất kỳ). MS365 tự kết nối qua server tích hợp sau khi đăng nhập; còn lại bạn trỏ mỗi connector tới MCP server bạn đã có hoặc REST API nó cung cấp (không kèm SDK hãng nào).</div><div class="grow" style="overflow-y:auto"><div class="r tb" style="gap:6px;margin-top:4px"><span>🔧</span><b>CAD</b><span class="lbl">(NX / CATIA / SolidWorks / AutoCAD)</span></div><div class="r wrap" style="margin-left:18px"><div class="card" style="flex:0 0 auto"><div class="r tb"><b>AutoCAD</b><span class="grow"></span><span class="tsw"><i></i></span></div><span class="s">MCP server (stdio)</span><span class="s" style="margin-top:2px">✎ Sửa &nbsp;·&nbsp; 🗑 Xóa</span></div></div><div class="r tb" style="gap:6px;margin-top:4px"><span>📐</span><b>CAE</b><span class="lbl">(ANSA / ABAQUS / HyperWorks / ANSYS)</span></div><div class="r wrap" style="margin-left:18px"><div class="card" style="flex:0 0 auto"><div class="r tb"><b>ANSA</b><span class="grow"></span><span class="tsw"><i></i></span></div><span class="s">MCP server (stdio)</span><span class="s" style="margin-top:2px">✎ Sửa &nbsp;·&nbsp; 🗑 Xóa</span></div></div><div class="r tb" style="gap:6px;margin-top:4px"><span>☁</span><b>MS365</b><span class="lbl">(Microsoft 365 / OneDrive / SharePoint)</span></div><div class="r wrap" style="margin-left:18px"><div class="card" style="flex:0 0 auto"><div class="r tb"><b>OneDrive</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Tích hợp, tự kết nối</span></div><div class="card" style="flex:0 0 auto"><div class="r tb"><b>SharePoint</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Tích hợp, tự kết nối</span></div></div><div class="r tb" style="gap:6px;margin-top:4px"><span>🔌</span><b>Other</b><span class="lbl">(any generic MCP server)</span></div><div class="r wrap" style="margin-left:18px"><div class="card" style="flex:0 0 auto"><div class="r tb"><b>Jira</b><span class="grow"></span><span class="tsw"><i></i></span></div><span class="s">Tích hợp, tự kết nối · chưa cấu hình</span><span class="s" style="margin-top:2px">✎ Sửa</span></div></div></div><div class="r tb" style="margin-top:4px"><div class="btn pri">+ Thêm connector…</div></div></div></div><div class="dock fab" title="AI Assistant — trợ lý cách dùng app"><span class="spark">✨</span></div></div>
+<details class="ctl"><summary>Kiểm kê control — <b>15</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>—</td><td class="mut">ô tick</td><td><code>on_toggle</code></td><td class="mut">ui\tools_admin_tab.py:32</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>0</td><td class="mut">bảng</td><td><code>—</code></td><td class="mut">ui\tools_admin_tab.py:57</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Kiểm tra Internet</td><td class="mut">nút</td><td><code>self._test_internet</code></td><td class="mut">ui\tools_admin_tab.py:72</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Làm mới</td><td class="mut">nút</td><td><code>self.refresh</code></td><td class="mut">ui\tools_admin_tab.py:80</td><td class="mv">→ lên sidebar cùng RECENTS</td></tr><tr><td>Dán bất kỳ link Jira nào — tự điền Base URL</td><td class="mut">ô nhập</td><td><code>self._on_paste</code></td><td class="mut">ui\connectors_panel.py:42</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>jira.get('base_url', </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\connectors_panel.py:46</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>jira.get('email', </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\connectors_panel.py:48</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>jira.get('api_token', </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\connectors_panel.py:49</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Kiểm tra kết nối</td><td class="mut">nút</td><td><code>self._test</code></td><td class="mut">ui\connectors_panel.py:58</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Lưu</td><td class="mut">nút</td><td><code>self._save_close</code></td><td class="mut">ui\connectors_panel.py:60</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Kết nối tới connector bên ngoài</td><td class="mut">ô tick</td><td><code>self._on_connect_external_toggled</code></td><td class="mut">ui\connectors_panel.py:133</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">cây</td><td><code>lambda *_: self._ext_edit()</code></td><td class="mut">ui\connectors_panel.py:144</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thêm connector…</td><td class="mut">nút</td><td><code>self._ext_add</code></td><td class="mut">ui\connectors_panel.py:155</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Sửa</td><td class="mut">nút</td><td><code>self._ext_edit</code></td><td class="mut">ui\connectors_panel.py:159</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xóa</td><td class="mut">nút</td><td><code>self._ext_delete</code></td><td class="mut">ui\connectors_panel.py:162</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Màn <b>duy nhất còn hiện dải tab</b> — 7 màn Monitoring kia bị ẩn. Không nhất quán.</li><li>Tab <b>Tool</b>/<b>Connector</b> lọt thỏm trong một mục nav.</li><li>Cấu hình kết nối tách khỏi Settings → thiết lập ở 2 nơi.</li><li>Tab <b>Tool</b> liệt kê <b>9 tool thật</b> (<code>core/tools.py:TOOL_SPECS</code>) dạng chữ phẳng (☑/☐) — không thấy ngay tool nào đang bật khi lướt nhanh.</li><li>Tab <b>Connector</b> là cây phân cấp 4 nhóm (CAD/CAE/MS365/Other, <code>ui/connectors_panel.py</code>) — phải bung từng nhóm mới thấy có gì bên trong.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Bỏ ẩn dải tab cho toàn bộ Monitoring → 8 tab một hàng; Tool/Connector ngang hàng.</li><li>Tab Tool: 9 tool thành <b>lưới thẻ căn trái</b> (không kéo giãn lấp đầy hàng) — icon màu theo loại + công tắc gạt bật/tắt, thay ô tick trong list phẳng.</li><li>Tab Connector: 4 nhóm thật thành khối <b>nhóm theo catalog</b> (không gộp vào tab Tool) — mỗi catalog là 1 tiêu đề (icon + tên + loại máy/phần mềm), bên dưới là hàng thẻ nhỏ căn trái, mỗi thẻ 1 option thật kèm <b>công tắc gạt</b> bật/tắt (không phải badge tĩnh) — đúng bản chất mỗi option đều chuyển được trạng thái, nhất quán với công tắc ở tab Tool; giữ đúng cấu trúc phân cấp 2 tầng của cây thật thay vì gộp phẳng vào 1 thẻ/catalog. Công tắc "Kết nối ngoài" tổng vẫn ở trên cùng. Thẻ của connector do người dùng tự thêm (AutoCAD, ANSA) có thêm ✎ Sửa/🗑 Xóa đúng như <code>_ext_edit</code>/<code>_ext_delete</code> thật; Jira (built-in) chỉ có ✎ Sửa (mở dialog cấu hình riêng, không xóa được); OneDrive/SharePoint (built-in MS365) không có nút nào — thật cũng chỉ bật/tắt, không sửa/xóa.</li><li>Nút <b>Kiểm tra Internet</b> dời từ thanh trên (tách khỏi tool nào) vào đúng bên trong thẻ <b>fetch_url</b>, khớp <code>tools_admin_tab.py:_fetch_url_desc_cell</code> — nút này gắn với khả năng fetch_url, không phải một hành động chung của cả tab.</li></ul></div>
+</div></div></section><section class="sec" id="monitoring-icon">
+<div class="hd"><b>16. Monitoring ▸ Icon</b><span class="tag">ui/monitoring_tab.py:132</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Thư viện icon, dùng lại khi đặt icon cho agent Co4E.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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oqYv5ZUFAgvI2hoWFeXp7gEk1NzYaGhoaGBvqWKVhBBrKhq6s7f/78J0+eHDx48NSpU2FhYZigECSoqqq6ePEi8xOIbhvCVO1xuVxvb28l7GVpZGTUoUOHs2fPcjic9evXizyJTExMXr9+XVpaevz4cXrcQKXC4/HEDS5jYmLyxRdf0BVYFEU1NjbKNjQ5UldXp6enRwh5+PAh+V/DIuaznp4e/SNKCTH9L8j/0oJ2WCA9U1NTPT09yY2t/vrrr7dO2K3AampqBAf+b0FbW1tdXb2mpkaWIckPDQ2Nn3766fXr1/Hx8du2bbOysvLw8KAoKjIykq69KisrS0tLCwgIYDtSdnC53CVLltDz2EjYTDlns7l8+TLdpKNDhw5jxoxJTEw0MTH5+uuvCSHbtm1LTEwcN25ci21YjhiUGGtjYDHtsKT/K319/U8//TQ4ODgwMHDgwIEURSUkJOjp6bm5uRFCjhw5MnXq1KqqqgMHDvj6+orbSZ8+fYqKiqKjoz09PVNSUhISEpycnFpsY29v39zcfOjQoalTp+bm5ubk5IwZM6ZLly5RUVGTJ0+Oj49//fr1ux04wAfE4XCam5uFl/P5fFVV1uZnkB8cDkfcO3zlfLdPCDE2Nt6+fTshZNWqVc+fPxc5hTbdLOLevXvnz5+XdXxsS0lJUVNTo9+FcLncbt26CbYL5nA4mMOeoqiXL182NzdTFFVaWrp//35CyLZt2wghzGeKopqbmzMyMlokUEnQDzYt6qrQDkvY6tWri4qKBF8k0A0bDx8+zF5QLFNTU6NHrpCwzYMHD2QWjxwyNjZOTU0Vt7a4uLihoUE5ZwBgdOrU6ZNPPpk0adL169ePHDlSU1OzaNEi+ppz7969Hj16KHl+QCTmZi3hCVmabRSerq5uZWWluLUVFRVK2HdB9mT6K9fe3v7zzz+PjIwkhNDtsFq7h5kzZ5qYmJw9e3bXrl26urqDBw/+/PPPVVVVt2zZEhoaOmvWLF1d3XHjxk2ePFncHnR0dIKDg/fs2RMZGeni4jJ27Njq6uoW26ipqTE7NDIyWrFiBSFk+fLlISEhJ0+e9PX17d27d2sjh/dUWVl54sSJ5ORkdCFkdOnSJSEhgWl7SKMoKjMzc/jw4SwGJg94PN706dOZfzKzpLEXkVyor69PSEioqKiorKwUOaQgIeTy5cuvX79OTk4eOXKkjMNj3Y4dOwghdNsiLpf7zTffiGzPGx8fP2jQICVswUcIKSoqCg8Pr6mpefPmjY2NDX0fpwfbZj6np6fX1NSEh4eLS6DCE67DatEOi8PhYCjcoqKijz/+WLCy5t9///3tt99YDAnkX9++faOiovLz80WO4nT//n0bGxv6Gq7kdHR0vLy8Ro0atXLlSuaZ+e7du8OGDWM3MBYJTsQsYTPlnI65RYsqNze3K1eu0G+nioqK6MYiaHVFCLGwsPj333/F3cFfvHhhYWEh45CUkKybaQwYMIAeFc/e3v7d9uDu7i7cuNrU1FTkYAqXLl1iPn/55Zf0BwcHB7oSjRCyZcsWkW+6zM3N6XYKDEdHx2PHjr1bzPA+KIq6ffv2qVOnrK2tv//+ewziznBxcYmJifn555+dnZ3pplgqKir379+vrq4eOHAg29GBPMrOzj5x4oSLi0tQUBA9tEGLClBCCH2u+fn5KeEPbF1dXXV1dSsrq4ULF4prxvjq1atz584p7RgiHTt23Llz57JlywwNDTkczieffJKfn5+enk4IGT16tKmpKYfDMTQ01NXV3blzJ9vBsklCO6ympqbIyMiQkBBtbW02Q2QbPaFei2cwVD2AZMbGxj4+PocPH/7qq69ajISVlJR08eLFtWvXshWbHNLU1Bw3blxcXNxHH330+vXr7Oxs4X4nykPcRMwtYDrmwsJCExOTb7/9lhnEncfjFRYWKucbqRZGjRq1Y8cODw8P4R+kJSUlN27coBu+QJtioZ/RO1ddfVg1NTU3b968c+cO3apfGvX19YGBgQcOHFBTU2vT2IBRUlJy9OjRzMxMPz8/FxcXJeyNIoG6uvrq1avPnj17/PjxN2/eEEIMDAx69uy5evVqyfdmUGZ6enr0RY+iqKioqL///rtr166LFi3S19dnNpgxY4bkPiyKiq6RiY6O3rt37xdffCF8HtXX1x89etTDwwNNxGl37ty5ePEi8096FjkW45Er4tphNTQ0HDp0qLS0VMkrsADejZeXV1ZW1oYNG+hbFT3F0/379y9cuNDc3FxQUCCufbFyGjFixIULF169evX06VN7e3vlbDtMYyZifv78OSFE3FyESj4dMz3kPz3n4Lhx4+iFhYWFGzZsoEdSYzc81vXo0WPEiBE7d+5cs2aN4HCE1dXVO3fuHDFiRI8ePVgMT0ko40A5X3755YsXL7hcrrW19ebNm6XvCq6hoaHMQzPIGJ/Pj4+P/+233/r37//DDz/g56JIurq6c+bMIegi9zYcDge1n+R/46bRra5evHhx8+bNNWvWXLhw4cKFC5988gkhhB69SKmazbegra29atWq3bt3b968ef78+WZmZsyqnJycQ4cO6enpTZgwgcUI5UGnTp3ogXisrKxazGeflpb24MEDZvYrJSdch8Xn848dO2ZqaipYtJQKh8NpamqSvE1TU5NyvoZBcqTB5XIXLVp069ato0ePlpeXq6urNzQ02NjYrFu3rqCg4ODBgwEBAcrczqgFHR0dNze3uLi47Ozs8ePHsx0OyLVHjx7RE1bSja3i4+MpivLw8OjYsSM9Pwn6vxNCpk6dWlhYuHv37kWLFtFDKJSVle3bt8/U1HTq1KlsR6cUlLECa9euXWyHAG9XVVUVFxcXGBjo6OjIdizQ7vn4+LAdglwwNzdXUVE5cOCAvr7+7du36e5yPXv2PHnypIqKCiGkvLxcRUVFaV9fm5ub6+rq0nVYv/32W3BwsLW1tYWFRXNzc3Z2dlZWloeHx8SJE+lcKTN/f/9jx47dvXtX5NpOnTr5+/vLOCS5xdRhNTU19e/f/9ixY+np6atWrVLaamI7O7uIiAiKourq6v766y/BIcnfvHlTV1f3yy+/3Lt3TzknSmOSI64Lc1NTk9ImRxCHwxkyZMjgwYOLiopqamqMjIzozqddunShf2arq6vj6ZHh7u6+Zs0aQkiLadyVjYaGRl1dXUNDg7i2V7SGhoa6ujp6xBtlk5WVNX/+fKaKqri4mFk1YMAADoeTnZ2NCiwulzt//vxff/11/fr1s2bNoijqxIkTH3300axZs5T2zi5jnLq6OrZjgHdHz2baFi9y8/LyWHw/XFVVdf369dGjR0seZxEYp06d4nA4gsOWA4hUWFiYmJhIt423srIaPHjwf//9Rw9zQAjR0NBwc3PDMAe0qqqq5OTkvLw8LpdrYmIyYMAAZe58Ae/j0aNHkZGRTU1NpqamQUFBSj4L2JMnT1JTUzMzM01NTQXHZGhsbMzPz+/atWvv3r2VtvaBTg6fzxe5lsvlKnNypPTkyRN1dXXJlRTKJjAwUFtbm56oRGlhEPfWQvcOyR49ehQWFkZ5YdDYAAAgAElEQVQIWbJkiZLXDt+4caPFEnq+iDaqT0AFVvumqBVY0FpVVVWEEPy6BgCQTzU1NaWlpWZmZvhRBAAyVl9fz+FwlLzzKSGEz+fn5ORIHt9KQ0PD3NwcF2pCyOXLlzkcDiYflAC/v2gyrsBSxi6EAIoHl04AAHmmra2NUdsBgBXK2SFOGJfLVdq5Bd+Bh4cH2yHIO/z+YgVqlwEAAAAAAAAAQK6hAgsAAAAAAAAAAOQaKrAAAAAAAAAAAECuqV56qUEI6ajeaKpZr8kVPemJNBr5nIpm1exajQY+17tb/cPMyk48dW1VDp9Pfbho4f/hcoiauoqOlrJP5Q4AAAAAAAAAyoBLCDFQa7LWrn2f2itCiBqXMlZrdNStVufyc8vqvXYne+15XFLV+IHihP8fPkXq65vfVDQSwmE7FgAAAAAAAACAtsUlhJhqNHyo3alwKEut+nXRL8trm7ubaOpqoIlQG+LzKYqj4LOKuLu7l5aWsh2F/EJ+3gopen9KlcPq6uoVK1a4u7s/fvz43fagVOlSqoN9Z8gSiPNuZSMqKmrr1q0ffLcKD2kR560lCpQTn8+fPXv269ev2Q6EZcKXjrdmRuTVBifah6JKCNFWaf6Ae9RTabr2vIwQsmViN1UVtA9qYxRGMQMA+GAuXLigpqYWExOjpqbGdiwK6MSJEzo6OhMmTGA7EAAAAPh/BO/OzGcul/vLL7+wHZo8QmbYxSWEqHI+5DBValwqv7yBENKBh6f/tsdBBRYAwAdTUlLSu3dv1F61kezs7Pr6erajAAAAgP8jeHfGnRrkHKo/QC64u7vfvXv3008/9fDwWL16dXl5eYsNLl265Ofn5+7uHhQUVFZWRgj58ssvz58/T6+trq728PCoqKiQddyyIjk/5eXl7u7uzD+DgoISEhIIIZmZmQsXLhw5cuTChQvDw8MVu9nqu6Xo+PHjEyZMGDt27N69e2UdcZsRmQqRGTh37pybgKioKOElgnsuLCxcsWLF2LFj582b9+LFC1kf2Htzd3ePiYnx8fGJjo4mog7n22+/PXnyZEREhJubmzTbEzFFKCUlZdasWWPHjt2xYwcLx/khtDj2oqKidevWeXt7T5w4MSwsrLHx/wa4TEtLowvbmjVrmIuwyO2DgoIuXrwYGhrq5uZWVVXFynF9cIKJEnedYYgsQi1SrXiEzxHhG3pQUNCFCxfotYWFhePGjWtoaGjvFxzhAy8vL9+0aZOvr6+3t/fVq1fphcKXC5EHnp+fHxQU5O7uvmDBgsLCQmaH71Dk5Jlw0kQegnARIkKnkpTZbtekTJe7u/uNGzf8/Pw8PT2ZLUWWKAUgfU6Y0iL99ac9Xq6lSYjg3Xnx4sWCd2qmK5zIUiTuh0a7frqW8rmOyYzky6yinmjsQgUWyItz585t3rw5KiqKoqiwsLAWazMyMr777rvz589zOJzTp08TQjw9Pa9fv06vTUhIGDhwoJ6enqyDliHJ+RHG5/PXr1/v7Ox84cKFxYsXX758WQZBsqu1KXr27Nnvv/9++PDhuLi4JUuWyCBCmZEyFZMnT05MTExMTNyxY0efPn2mTJkivITZmM/nr1q1yt7ePjo6etq0aRs2bODz32vqD1bcv3//1KlTkyZNEnk4GzdunDFjRkBAQGJiojTbiytCf/75Z2hoaHh4eHx8fHJyMkvH+r4Ej/2rr76ytLQ8depUWFjY06dPf/75Z2YzprDx+fzw8HBCiLjt9+zZ4+Pjs3Tp0sTERB6Px9JhfXhMoiRvJuEMknIP7ZHIc0T4hu7h4XHt2jV67d9//z1y5EhVVdV2fcEReeCrV6/W0NA4duzYrl27amtr6YUtLhciywm9sF+/fufPn1+8eHF8fLw0MbS7i7Zw0sQdgnARogmeStJkm42j/GCkTxchJDY2NiwsLDQ09OLFi0+fPn23EiX/WpUTprS06vrTvi7XUiZE8O4cFhYm7k4tXIpE/tBo10/XrX2uk3yZVdQTjXVyUYFV39BY/b9bCygtf3//Ll26GBgYBAYG3rx5s8XapUuX2tra8ni8MWPGZGdnE0KGDx+emppaWVlJCPn777/HjRvHQtAyJDk/wlJSUhoaGubOncvj8ezt7X18fGQQJLtamyIVFZWampqSkhIZxCZjrUpFZWXlrl271q1bx+VyxS0h/ytRc+bM0dbWHjt2LIfDycrKasNjaBuTJk2iH8ikPBzJ24srQrNnzzY2Nu7Ro4ezs/OrV69kcFxtQfDY6+rqAgICdHV1zc3NFy9eHBcXx2wmWNjoij/J2yseJlGSSShyUu6hPRJ5joi8oT99+pRul/f33397enq29wuO8IGnpqbSL+oNDQ1tbW29vLzo5S0uFyIPPCUlpbGxcc6cOTwez8HBwdfXV5oY2l0OhZMm7hCEixCNOZWkzLZsj+8Dkz5dhBB/f38jIyNbW9uBAwemp6e/W4mSf63KCVNaWnX9aV+X61Yl5K2ES5HIHxrt+um6tc91kvOpqCca61TZDoAQQtaH7a9raAz9ZjnbgQCbzMzM6A9GRkZVVVUURXE4/zcJwNWrVy9fvpyZmVlQUODs7EwI0dTUHDx48M2bN93c3NLT011dXdmJW1Yk50dYQUGBlZUVs42+vn47vZdIr7Up6tmz58KFC7/55hsLC4uVK1daWFjIJExZEE6FhI137NgxefJkwcMXXkIIKSgoyM7OpvvW0YqLi62trT9o4G2uc+fO9AcpD0fy9s7OziKLEPNXenp6dXV1bXQsbU3w2C0tLZmzqUuXLoIXE8HCVllZSVGU5O0VD5MoySQUOSn30B6JvMwK39B5PJ6Tk9PNmzf79etXUVHh6OgYHx/fri84wgeem5trbW2totJyeu4WlwuR5eTNmzeWlpbMEj09veLi4rfG0O4u2sJJE3cIwkWIxiRTymy38QG1LenTRQjp2LEjvYQpZu9QouRfq3LCFIZWXX/a1+W6VQl5K+FSJPKHRrt+uhYXvLhLh+R8KuqJxjr2K7ByC4vrGhrpD106dmA7HGBNeXm5kZERIeTVq1edO3cWrHp48uRJWFjYihUrrK2tHz16xPQcHDt27Pnz5/l8/siRI4UfUxSMhPxoaWk1NDQ0NDSoq6sTQuj7h66urmBf6/z8fJmHLGutTREhxNfX18vL69ixY+vWrTt69CgrYbcF4VSIy8DVq1dLSkoEuwoKL6EZGRnZ2dkdPHhQVgfRJpgLhZSH89btFbUIEYFjNzExycnJYWqEc3NzO3XqxGwmXNgkb694mESJO8toEoqcYt+/Wpwj4m7oY8aMuXz5cmlpqYeHB1GIC06LAzc0NMzNzX3rX4k88Lt37wrO156Xl0d/eOciJ7daJE3kIYgrQkTgVJIy2+2dNOkSSU9PT2SJUgDS50Twwiv99afdXa7fuZC8lYQfGu360ahVwUvOpwKfaOxivwvhX3fuDXK0d3Xo89ede2zHAmyKiIgoLS3Nz88PCwvz9vYWXJWfn29gYGBra0sIEew/7OzsnJ6efvnyZYXvP0gk5kddXd3c3PzkyZO1tbXR0dEFBQWEEAcHh6KiorNnz9bW1t67d0/wCU9RtTZFNA6HY2trq2DzrQinQmQGSktL9+3bt2bNGqayT3gJw8HBobi4ODo6ulYheny39nAkbK+QRUiQvb09ISQiIqKysjIvL2/fvn0TJ05k1goXNgnb83i8jIwMOR+I551JuM4QhTuDWkXwHBF3Qx8yZMizZ89u3rzp6elJFCVdggfu6OjY3Nx84MCBioqKZ8+excbGivwTkQfu6OhYXFx85syZmpqau3fv3rhxg16ukEVOMGkiD0FcERIkZbYVwFvTJZK4EqUY3iEnCnn9YUiTEMG7s5R3ask/NNr1o5H0wUsuKop9orGI5QqskjflSc9fjHZ1Gu3qnPT8RUm5ws4iB2/l6uo6d+7c+fPn29vbz5o1S3DV8OHDjYyMpk+fvn79ehcXF2Y5l8sdNmzYmzdvevToIfN4ZU1Cfgghq1atiomJ8fX1zc3N7dOnDyFER0dn8+bNf/zxh6+v74ULF8aNG6epqclG4LLT2hTdv3/f29t79OjRkZGRa9asYSPktiIyFcIZ2LNnT35+/tSpU+k5B8PCwoSXMPtUV1ffunVrXFycj4+Pl5fXtm3b2Dm2D6S1hyNyewUuQoJUVVVDQkJevHgxZcqUoKAgV1fXadOmMWtdXV3nzJkjWNgkbO/t7f3o0SNfX9+amhp2DqaNCZ9lDAU7g6QkfI6Iu6Grq6s7OztTFEV3Sm3v6RI+cDU1tZCQkOfPn0+ZMmXTpk3iOiKJPHAtLa0ffvjhwoULvr6+Fy9enDBhArO9IhU54aSJPARxRUiQlNlu16RMl0gSSlS79s45UbDrD0P6hAjenaW8U4v7odGuH41aG7zkoqKoJxrrOOeeUS4GH7jayHz1bUJIzpZBwquamppuPf6ntq7uTVVVeWX1P+kZfXv2mDdpPCHkUPQfj/9Nt+/RXV9Xx4DH09LUHNzXXlVVRCfHVSu/mP1pgINDvw8bdjvFoaqYIUg+oLy8vLbYrTju7u5RUVF0P5RW2b59u5WV1fTp09siKvnxzvlhbNq0ydbWVoET9f4pUhhIBQAAAADIjML/0AAJhBuXDRs2jLRZfYKsx8CqqKk9G/83IWTUwAE9LLsMsOvZp3s3etUsL89+PV+WV1VVVFVfSrhFCLHv0d1IX1fGEUI7kpSUlJiYGBgYyHYgcq2mpubGjRs3b95ctGgR27EAwP/H3p3HR1Xf++M/k5AQSNjCIkuU4oIboogIV62WEhZBWq8PlRYVlxarVcGtFFxaW6ytClgR7UW4uNS6FYu9oiLYqoAVq7iAyCKKYgIRwpoEQkIyvz/m3vzyzWbEhDlJns8Hf0xOznx4n3fOnDPzmrMAADQSPmhwkB3sACu9daubLx390DN/S0pqNrBf3/KXWUlpntz3uGOi0ehLS/7VMiXl56PO+9r0Ki9v92OPPrziw/dKS0t/OvbaAf9xxvbtuY8+MvPjVSubNUs6/Yyzfjz60mbNkoIgGHPxf1437hdP/uXRnbt2DBw4ZMylY+t3Oal/v/rVrz766KNbb721VSspZ9WuvfbaNWvWJCQkHHHEEffee2/79u3jXREAANDg+aBBXMThLoSHdel83egLH3z6r/uK9v/n988sn2FFo9F5/1y8/OPV142+sDZ3JJxyz+RuGYfeO/Wh7du3ffH5Z6WlpX+469cn9z31Z1eNz8vbPeOBKc/NfWrUj8bEZn7jjX/e8Zu7t+/Y/ts7ftl/wOlHH31cfS0h39yrr776TZ/y29/+tj4qCacD6E8QBOUvYNToHViLGiWtAACgXjWpDxqER3wu4t6tU4fxF416/Z3lm7bmlp++aWvu6+8sH1e79OrT9eu2bdv6k59e06ZN2x49jvjewMGffLJm3759o340JjU1rXPnrpeM+emSxf8sm/+880a1aduuR48jep948hefb6j7pQIAAACgHsTtLoQpzZODIGjftk35ielt2gRB0KJ589qMkPPV5oxDuycmJpZNyd26pWu3jLJDujof0mXHjh1lv23f/n9DsbS0Vvv2FX678gEAAAA4SOIWYG3euq19m9Ypycnbdu2+9YGZ4/4wbduu3S2aJ6e3brUpN/frnx8Ebdq0/Spnc/kp6entczZvikajsR9zvtrcoUPHui8dAAAAgIMobgHWpq1b27Rq9fw/37hz5iOpLVt07tDhdw8/+vfXFrdt3Xrz1loFWMccc1xJaclTTz6an5+3/pO1i9/4R8+exwZB8MzTjxcU5G/5Kucvf54zeMjwel4OAAAAAOpXHC7iHrN81Zovv9oSiURuuGTUYV06B0GwcXPOvH8u/iwru7i4eGC/vl87QrNmSZNu+e2c2Q9d+/PL2rZN/9lV4xKbNZt0y2//+78fuvbnl6WltRr4/aHDR5xb/4sCAAAAQD2KPPdxtH/b3XU7aMakt4IgyPr9f9QwzwdrPgmC4MSjj6xwF8IP164PguCkY46q25IasUg0v2vXrnU+7KZNm+pjWAAAAKARWLx4cYUpZ555ZlBveULcjsCqMqKKRCKiKwAAAADKi9s1sAAAAACgNgRYAAAAAISaAAsAAACAUBNgAQAAABBqCUEQ7I9Gvna+2isujXRpkxwEQW5+cR0OS9WipfGuAAAAAKB+JQRBsKcksQ5H3F3S7HvHtAuCYNLzn+0vidbhyFQhIsACAAAAGrmEIAg270uuq+FKopGNe5vf+Z+Ht2mR+GluYd6+kroamcoSEiKR6L54VwEAAABQv5oFQbCzuNmGPS26pOxLSTjww3mKSyO7S5pt3Nu8qDShW7vmL11/0iFpyS2bRUpLHYRV9xIiQVJyYmqLxB07tBcAAABo5JqNOLzsEJ6kbzlWlyA4Ovjf6171/U6rbzkaAAAAAATuQggAAABAyAmwAAAAAAg1ARYAAAAAoSbAAgAAACDUBFgAAAAAhJoACwAAAIBQE2ABAAAAEGoCLAAAAABCTYAFAAAAQKgJsAAAAAAINQEWAAAAAKEmwAIAAAAg1ARYAAAAAISaAAsAAACAUBNgAQAAABBqAiwAAAAAQk2ABQAAAECoCbAAAAAACDUBFgAAAAChJsACAAAAINQEWAAAAACEmgALAAAAgFBrFu8CACDU9u3bV1xcnJaWFu9CaJAWLVoUjUaHDBkS70Kg8SgtLc3Kytq3b18QBM2bN8/IyEhI8K18RdFoNCcnp1mzZh06dIhEIvEuB6AOCLBoYBYuXLht27YgCHJzc48++ugm+5Hg1VdfHTBgQNkn6jVr1gRBcMwxx8R+zM/PX7ZsWWZmZtzqC5nPPvussLDwuOOOi3chIaU/NbvhhhsKCwvnzJkT70JokHJzc+NdQlisWbPm/fffrzDxnXfeueGGGw499NC4lERDVFpa+sADD6xevTolJSUIgsLCwmOPPfa6666TYZX3ySef/Pd///fOnTuj0WiHDh0uueSSsneJxLz00ku7du368Y9/HO9CwmjLli3vvfdeEAQnn3xyp06d4l1OiFTuzLJly7p3796lS5d4l9ZUCLAIqWnTpp111ll9+/atMD32DdJXX321YsWKrKysJhtgzZ8/v3v37kcddVTsx9hHgrK3Jps3b54/f74Aq8ydd94ZBIEAojr6U4Mvv/yysLAw9sBn7DLlD38oz6EQQRD8/e9/z8jIKNt/9enTp/xvly9fnpWV9cMf/jAepcXZ+++/v2jRosGDB5efuHPnzrvvvvu3v/1tenp6vAoLjy1btnTs2NHBMjXLyspavXr19OnTk5OTgyAoKioaN25cVlbWYYcdFu/SwmLTpk1//OMfL7roov79+0cikWXLlj3wwAO//OUvtajMO++8M3fu3CAIjjrqqFNOOSXe5YTLihUrZs6c2atXryAIXnjhhZ/97Ge9e/eOd1GhUGVn1q9fP3v27Kuvvrry59Ym4swzzzyY/50Ai5A666yzZs2aFQRBhW3B4MGD33nnnddff713796HHHJInKqjIcnKyoo9yM7O7tatW3yLCSH9qdnLL7/83e9+NxqNvvzyy1deeWW8ywmFCoc/lOdQiCAIMjIyZs2a1aFDh+7duwflvloIguCLL76YNWvW2LFj41ddnA0ePLjC8Q6jRo2aM2fOPffcM2HCBBnWzJkzu3Xrdvnll8uwKluzZs2///3vzZs3t27dOgiC5557rvxvX3zxxd27d3fp0uXUU091qNHf//73QYMGnXbaabEfTzvttE2bNr344otXX311fAsLiXfffXf27NmxUGbWrFmRSKTJRg+VlZSUxOKYWEzz0UcfPfzww/fdd19iYmK8S4uz6jpz8cUXH3nkkY899ljv3r2TkpLiXWbjJ8AipGI7kocffnjs2LHlvxh55513Zs+ePXbs2E8++SR+1YVIfn7+5s2bd+7cGQTBJ5980qVLF1fqKa+kpGTu3LmnnHJKNBqdO3futddeawdcnv7UbOvWre+8887kyZOj0eivfvWr8847r0OHDvEuKv4qHP5QnkMhgiDo27dvhw4dOnfuvG/fvhdffPGjjz4KgqBXr14jRozo3LnzpEmTYsFWUzZt2rTRo0d37tw5CIKEhIQrrrhChhVzzTXX3HPPPY888ogMq0oFBQUbNmw47bTTevToUX56jx49UlNTP/zww1i2xeeff17hmIhBgwatWLEiXvWEyvLly2fPnn3llVeuW7cuCILvfve7VX5l3mRt3ry5uLj4+OOPj/14/PHHFxcXb968OSMjI76FxV0NnenXr98jjzySk5PjUP2DQIBFePXt23fs2LGzZs1KTk6OfUkS+8IkFmlt377de7sgCJYtWzZ//vyioqIgCNauXXvOOec4czBmw4YNr7/++vvvv19cXHzzzTcHQTBlypQbbrihT58+3/ve9yq8922C9KdKxcXFS5YsKSgo2LFjx86dOz/44IO+ffvGPmafdNJJEyZMOOmkk9q2bduuXbvU1NTvfve7TfOrtn379qWkpFROr4IgSE5OTklJqXxqYVPTvXv3ffv23XnnnR06dBgxYkQQBEuXLr3zzjtvv/126VUQBBdffHH5LFiGVSY9PX3ChAkyrCodc8wxiYmJa9euHTNmTJUzvPfee5mZmWVXV2jK9u3bV2ET3a5du7POOite9YTKG2+8MXbs2L59+8YCrFhu9cYbbwiwYtLT04uKinbu3NmuXbsgCHbu3FlUVNSUN8tlaujMV199tX///rZt28a7xiZBgEWonXLKKcnJybF98Lvvvjtr1qwrr7wytoNpsle/iklISIidoZOZmSmxqtL06dN37drVvn37q6+++vDDDw+C4LrrrpszZ86SJUtWrFhx3333xbvAONOfKu3evfuJJ54IgmDo0KFHH310//79y677cMUVV5xyyik7d+7cuXPnvHnzgiA48cQT27dvH89yCbEXX3yxQ4cO48aNi2UQJ5988vTp0+fPn3/eeefFu7T4q3xJ4PIZ1i233NKUj6Mpy7DmzJlzxRVXyLD4RgoLC7OyskpKSsquD1BeJBLJyMiofPZ3k3LjjTdWmNK3b1/pVZmWLVsOHTr0j3/84znnnBMEwfz584cOHdqyZct41xV/1XVm5cqVjz/++MCBA1u1ahXvGpsEARZhV3bsVfn0iokTJ3bs2LHsxwp3ISQIgmnTpq1fv/5f//rXvffee+mllwZB8Nhjj5111lmnnXbakUceGe/q4k9/qtS+ffvbb7992rRpycnJQ4YMKf/RsUWLFv37949Go88//3xqauqNN94ovaKC2H1y+/Tpc8wxx3z00UcjRowoW4Uikcjpp5/+0ksvnXfeebGb8XXo0KHC5cybuFiGNX369AULFlx44YXxLiee0tPTMzMzn3zyyZEjR7r/F7W3ZcuWu+66q6SkpLCwcN68eZWvRVhSUpKYmHjLLbdYr6jBBRdc0K5du5dffjkIgjPOOMM35WWq7Mxbb701cODAYcOGxbu6pkKARQOwfPly6VWZnJycvLy82PlNiYmJhx9+eCQSqXAXwi5dusS+HGjKIpHIUUcdddRRR3Xr1m3x4sXRaPSiiy4aNGhQvOsKC/2pTo8ePSZMmDBlypR9+/aNGjWqfIYVjUafeeaZZcuWTZgwwWUOqOwbHSwTjUbrr5JwikQiH3zwwahRo5ryNf5rY/ny5XPnzr3mmmukDHwjS5cuPeaYY372s59Vty2KRqMzZ85cunSpQ0GpQSQSGTx4sK9YKquyM+7wc5AJsAi75cuXP/zww7H0as2aNUVFRU38Tq5PPPFEVlZWXl5ey5Ytk5KSJk6cWPkNblpamm9LygwYMODJJ58Myh00vmTJkhNPPLEpn6JSnv5Uduihh06cOPHWW289/fTTywdVWVlZCxcu/N3vftelS5c4lkdolX9T26tXr6VLl5588smxT5LRaPTNN9+M3bromGOOaZoHzA4ZMuSDDz6InRlXOcMqLS2dM2dOTk7OFVdcEZfyQiL2pV3sGj3xroUGZt++fW3atKkhSY9EIm3atGmalymszckKTmgoKip6++23s7Ozy3/FEolEunXr1r9//yqvfdlEfG1n9u7d++9//7t///5N/BTdg8A3YIRahWOvioqKHnzwwXfeeScIgkWLFi1cuDDeBcbBzTff/Mc//rFVq1bjxo2bNm1ahfRqy5YtN95443XXXTd27Njrr79+ypQp8aozPNLKCYLgk08+eeSRR5544okmePhDlfSnSi1atAiCoPyJukEQxC477UoQ1MaIESNyc3OnT5/+7rvvvvvuu9OnT8/NzW3ix8bGru60fv36OXPmlJaWlv9VLL1av379hAkTmnJ6Lr2CevL+++/Hzlco06dPnz59+tQ8T5OSl5d3xx13LFmypKSkpPz0kpKSJUuW3HHHHXl5efGqLb5q05mioqJXX331jjvu2LFjR7zqbCIcgUV4VX4b17t375/+9KezZ88OgiA3Nzeu1YVUx44dr7nmmo0bN/7tb3+75pprXE0wpizIW7Zs2cMPPxwEwbvvvnvTTTdNmzYtrnWFhf5Ulp2d3aFDh5SUlNzc3N/97ne7du265557OnTo0L59+6ysrDZt2sS7wHhq3rx5YWFhUVFR5S9ji4qKCgsLmzdvHpfCwuOLL77o3Lnzbbfd9uKLL7700ktBEPTq1evqq6+ORqNffPFFU74RYYUrlMeOwyqfXjXxe12V3R8t3oVA49eUj7Sq0ty5c4866qjLLrus8kF80Wj00UcfnTt37uWXXx6X2uKrlp254447/vSnP/3tb3/7yU9+Epc6mwgBFiFV3ZeQ/fr1C4Jg9uzZxx577CGHHBKn6sIrEokcccQRpaWliYmJ7iRdpuxj9oknnnjyySe/9957qamp48aNi29V4aE/lWVlZbVr1+6ZZ575xz/+ccghh6Slpd16662DBg1KT0/PznhGXdgAACAASURBVM4+/vjj411gPGVkZBx77LHjxo2rfJx8YWHhsccem5GREZfCQiK2/5o0aVL37t3PO++88tea+eKLL37/+9838YSiQoYVBIH0qkyF+6O9+uqr8+fPLz8lIyPj5ptvPrhFQWMQiUT2799f8zz79+9vymfJrV279uKLL67yFNRIJNKvX7/YbZqboFp2JjEx8fTTT3/qqacOeoFNiwCLkKruS8jYPZ6OPfbYFStWVDjuF75WixYtrrnmmptuumn8+PFN+SCI6uhPmWXLln3xxReRSGTSpEk9evQIgmDDhg3PPPPMJ598UlRUNGTIkHgXGE8JCQnXXXddVlZW5QupNG/ePCMjo4lfojsrK2vs2LFlr6DyF1Xp3r372LFjs7KymnKAFZTLsGKHVH/22WfSqyoNGDCgwqa4iR9Y7fDPmjVv3nzLli3RaLSGi7jv2rWrad4c4Ljjjps1a1Y0Gm3WrOrPv/v37//3v/89duzYg1xYeNT8Coq9+g5mPeFR+86kpaUVFRUdrLqaqEiTXREbh23btgVB0LVr1zofedOmTfUx7Le3aNGi2MmDubm5Rx99dJP9GPnqq68OGDAgdtGioNJVJ/Pz85ctW+Y67nDA3n333SAI+vbtW+EuhMuXLw+C4JRTTolbZTQ0sS9jf/zjH8e7kNDZvn177GCiKVOmSK+ojdLS0gceeGD16tXVHf553XXXNeUAfcuWLXfddVdJSUliYmKVM8R+dcsttzTNDGvFihWrV6+ucAG+MgkJCccee2xTvlVUhQ8XFTTlDxe170xT7lJl9ZQnCLAatiYYYAFAA7Jw4cLYjbfjXUgY5efnB0FQ3acCqKy0tNThnzUoLCzMzs6uIaPp1q2bu6QBB4EAiyoIsAAAAIDwqKc8oal/TQEAAABAyAmwAAAAAAg1ARYAAAAAoSbAAgAAACDUBFgAAAAAhJoAi1DIzMzcvn17beYsKCi46aabMjMzP/zww/KPaz9CQxRbutLS0ksuueSrr76q8Ntnn332D3/4Q1wKa9AqrzONey2qJW0BCKfq3gbUrMluw5vsggcHtOxNp13ffkm98YY4ahbvAuCbeeGFF5KSkl5++eWkpKSnn3667HG86zoYEhIS/vznP8e7CmgqnnzyydTU1B/+8IfxLiR0dIYD0DRXm7pd6ib1NqBprjAA1MwRWDQw27ZtO/bYY2OJVfnHAHVr48aN+/bti3cVYaQzHICmudo0zaWuE1oHQGUCLOLgiSee+OEPfzh06NAHHnigbOKqVasuuuiioUOHTp06NQiCXbt2ZWZmlv12/PjxS5Ys+fWvf/3UU0/NmjXrjDPOKP+4/OBbtmy56aabhg4d+pOf/GTdunUHbaHqUJX9iSk77Hnz5s3jx4/PzMz82c9+tmXLlrIZqlz8zMzMl19++Zxzzpk3b17N44dc5cozMzPffvvtSy+9dMiQIZMmTdq1a1ds+osvvjh69OjMzMzx48fv2LGjbObyfSgzbdq0cePGFRcXl01pWGtRfNvScFenCiosyPjx4+fPnz99+vQzzjgjPz//G7Wukam5M1u3br3ttttGjBhx7rnnzpgxo2yFqW4lbMQqNKrKvVgQBJmZmYsXLx49evSwYcMa+qum9mrzgvr888+vuuqqgQMHXnXVVQ8++GAjOEOnwlLXZgedmZm5aNGiCy64YPjw4QsXLly2bNn5558/fPjwv/zlL2Xzx94GVLkiVdnYhqhC6yp0qcrFrM17ywbtwDYp1W2id+3aNXny5JEjR44YMeK1114r/5TKe/+Qq6EzNe+GqmtOlStYdW+8G67q+lb5pVSbbVejUbdtaTRvksOlkIYsOzs7Ozs7Wg/qadhoNLpq1arzzz8/Nze3/MRBgwZNnDgxNzf3k08+GTp06Pvvv79z585BgwaVzTBu3LjFixdHo9EHHnjg0UcfjU0s/3jQoEHbtm0rKSm59NJL58yZU1BQsGDBglGjRpWUlNTTgtST6vqzbdu2aLnFvPjii+fMmZOXl7dixYof/OAHv//976PRaHWLP2jQoN/85jd5eXnVjd8gVNeZX/ziF1lZWTt27PjlL3955513xqbff//9a9euzcvLGz9+/J/+9Keymcv6EP2/Zj777LNjxoyJTWyIa1F829JwV6cKqlyQ3//+988880zscW1a1yjV3JnYWjFz5szdu3d/+eWXV1555cMPPxybp7qVsLGq3Kjq9mKDBg2aNGnStm3b1q5dO2TIkBUrVsSh3Hio+QUV26/Nnj07Ly9v5cqVZfu1hq7Ci6XmHXTsx8mTJ+fl5S1atGjIkCHXX3/9tm3bVqxY8b3vfa/824BoNStSdVuq2FMalvIrTIUuVV7MWr63PMiLULe+0Sal/I67yk301Vdffffdd2/fvn3t2rUvvvhitKq9f0NRQ2eq3A19bXOq20BVfuPdoFXZt8ovpVpuuxqNOmxLo3mTfMDqKU9wBBYHW2Ji4p49e7Zt21Zh+iWXXNK+ffsjjzyyX79+GzZsOLDBV61aVVRUdPnll7ds2XLo0KGRSOSLL7741iUfVNX1p7xVq1YVFxdffvnlaWlpJ5xwwsiRI8umV7f4//mf/5mWllbL8cOpusrHjBnTrVu3tm3bXn311W+++WZs4rhx43r27JmWljZ48OCNGzeWzVzWh5i33nrr2WefnTp1avmJDWstim9bGu7qVMHXLkgtW9f41NyZVatWFRYWjh07tlWrVhkZGddee+0rr7xS9tsqV8LG6hu9FsaMGZOent6zZ89TTz11/fr19V1bCFV+QcW2MFdccUVaWlqvXr3OOeeceNdYx2qzg44ZNWpUWlpaZmZmcnLyBRdckJ6efsIJJ3znO98pv+WJqbwiVbelagTKd6nyYtbre8vwq26TUt0mevXq1bGDR9q1a9ezZ8/hw4fH5q9y79+g1bAbqmH/VeUGqso33o1P5ZdS7bddjdiBtaXRvEkOGxdx52A7+uijr7rqqokTJx566KE333zzoYceGpveuXPn2IPWrVsXFhYe2OA5OTkbN24sf1Jhbm5ujx49vmXNB1N1/SkvJyfnsMMOK/uxdevWubm5QY2LX9be2owfTtVV3rVr19iD9PT0/Pz8aDQaiURee+21hQsXfv755zk5Of369SsbpKwPMf/1X/91ySWXdOjQofzEhrUWxbct/fr1a6CrUwVf+7qoZesan5o7E9sWRSKR2I/dunUr/0atypXwoFV+kH2jTWunTp1iD77N/q5Bq/yCysnJ6d69e9ka0qZNm0b2pr82O+iY9u3bxx60bNmyY8eOscepqamVLwhVeUWqbkvVCJTvUuXFrNf3luFX3Saluk10dnZ2jx49EhMTK4xT5d6/QathN1TD/qvKDVSVb7wbn8ovpdpvuxqxA2tLw/3MFXKOwCIORo4c+de//vWkk0667bbbqpunRYsWRUVFRUVFsR9r+UY2PT39uOOOW1pOQ3wD97X9ad26dfm7aG/atCn2oIbFL/82pTb9D6cqKy+7qMGGDRs6d+4ciURWrFgxY8aMkSNHTps27eabby4/QoW3a7feeutjjz324Ycflp/Y4Nai+Lal4a5OFdSwILVvXaNUQ2c6duyYlZUVjUZjP2ZnZx9yyCFlv628Eh6cguOlQqMObC/WFFT5gmrVqlX5y8ps3rw5TtXVl1ruoL+NGrZUjUBZl6pbzEazM6rOAWxSqttEt2vXLjs7u/L8Ve79w6+GztSwG6quOVWuYNW98W7QqutbhZfSQdh2hUrdtqXRb5fiQoBFfEQikZ49e9Zwf5nk5OSMjIynnnpq79698+bNy8nJqc2wJ5xwQm5u7rx58/bu3Vt3xcZBzf3p3bt3bm7uX//61z179rz99tuLFy+OTa/94n9t/0OrcuWzZs3avn375s2bZ8yYMWLEiCAINm/e3LZt2549ewZBsGjRohpG69mz5y233HLLLbeUP7OgIa5F8W1Lw12dKqiwIGlpaZ9++mlpaWntW9dYVdeZXr16BUEwa9asvLy8TZs2PfTQQ+eee27ZsyqvhI1e+UYd2F6sEav5BXXCCSds3bp17ty5e/fu/fe///3GG2/Etdg6U7bUB2HP0si2VGWtqzC9hsVsNDujKh3AJqW6TXTv3r1LSkpil3/6+OOPFyxYEJu/yr1/+NXQmRp2Q9U1p8oVrLo33g1aDX0r/1JqiO+Kv406b0vj3i7FhQCLg+2dd94ZMWLEoEGDZs+efcstt9Qw54QJE15++eWRI0dmZ2cff/zxtRk8OTn5D3/4wyuvvHLOOecMHz787rvvrqOqD57a9KdFixa/+93vXnjhhZEjR86fP/+HP/xhbHptFr/2/Q+b6iofMGDAFVdcceWVV/bq1euiiy4KguCss85KT08fNWrU7bff3r9//5qHPf3008eMGXPTTTeVffnfsNai+Lal4a5OFVS5ICNGjHjvvfdGjhzZr1+/2reukam5M0VFRVOmTFm3bt35558/fvz4AQMGXHjhhWXPrbwSNmJVNuoA9mKNWM0vqNTU1Lvuuut//ud/Ro4c+cILL5x99tkpKSnxLbhOlC31/v3763vP8o028uFX1ro9e/aUn17lYjaanVHNvukmpVmzZlVuopOSkqZMmbJmzZrzzz9/8uTJ5U8Eq7z3bxCq60wNu6HqmlPlClbdG++GrnLfKr+UGta74jpRV21pItulgy/SiE8IbwpihzWWneBdhzZt2lQfw0LdyszMfPbZZ9PT0+NdSLhoC3FnJeTbmDx5cs+ePUeNGhXvQoCGym4I4que8gRHYAEAEAp79uxZsGDBm2++mZmZGe9aAIBwcRdCAADi7Nprr12zZk1CQsIRRxxx7733lt2MDwAgximEDZtTCAEAAIDwcAohAAAAAE2RAAsAAACAUBNgAQAAABBqAiwAAAAAQk2ABQAAAECoCbAAAAAACDUBFgAAAAChJsACAAAAINQEWAAAAACEmgALAAAAgFATYAEAAAAQagIsAAAAAEJNgAUAAABAqAmwAAAAAAg1ARYAAAAAoSbAAgAAACDUBFgAAAAAhJoACwAAAIBQE2ABAAAAEGoCLAAAAABCTYAFAAAAQKgJsAAAAAAINQEWAAAAAKEmwAIAAAAg1ARYAAAAAISaAAsAAACAUBNgAQAAABBqAiwAAAAAQk2ABQAAAECoCbCoWlJSUnFxcbyrAAAAABqSpKSk+hhWgEXVkpOTCwoK4l0FAAAA0JCkpKTUx7ACLKrWpk2bvXv37t69u6SkJN61AAAAAA1Dq1at6mPYZvUxKI1Dly5dCgoKcnNzZVgAAABADZKSklJSUuopvQoEWNQsNTU1NTU13lUAAAAATZpTCAEAAAAINQEWAAAAAKEmwAIAAAAg1ARYAAAAAISaAAsAAACAUBNgAQAAABBqAiwAAAAAQk2ABQAAAECoCbBobLKzswcPHvyvf/0r3oUAAAAAdUOARTxNnTp13rx532aEzMzM7du3l5/StWvXiRMnLlmypPZPAQAAAMJMgEW1Lrvssnfffbdux3zyySf//ve/l/14/fXXv/XWWxs3bqzD/yISiTz00EP9+vWrwzEBAACAOGoW7wJoWjZu3Hj44YeX/ZiYmHjPPffU+f/y3HPP1fmYAAAAQLw4Aouvt2vXrsmTJ48cOXLEiBGvvfZaEARbt2697bbbRowYce65586YMaO4uDg2Z2Zm5uLFi0ePHj1s2LAHHnigwjjjx4+fP3/+9OnTzzjjjE2bNmVmZpb/1ZIlS2644Ybnn38+NqWgoGDIkCG7d++uuZIgCFatWnXRRRcNHTp06tSpZWXEThKsrp7KTwEAAABCS4DF15s0aVLz5s0ff/zx++67b+/evaWlpb/4xS8OO+ywp59+esaMGStXrnz00UfLZl6wYMGMGTOmT58+f/78lStXlh/n/vvvP+ecc8aNG7d06dLU1NTK/9GwYcPeeOON2OMlS5aceuqprVu3rqGS2MSXXnpp+vTpDz744KJFiz744IMKY1ZZT81PAQAAAEJFgMXXWL169ZYtW2666aZ27dr17Nlz+PDhq1atKiwsHDt2bKtWrTIyMq699tpXXnmlbP4xY8akp6f37Nnz1FNPXb9+/Tf6v84666zVq1fn5eUFQfDPf/7z7LPPrrmS2PRLLrmkffv2Rx55ZL9+/TZs2FBhzCrrqfkpAAAAQKgIsPga2dnZPXr0SExMLJuSk5Nz2GGHRSKR2I/dunXbtm1b2W87deoUe9C6devCwsJv9H+lpKScdtppb775Zn5+/vr16wcMGFBzJTGdO3eu4X+ssp6anwIAAACEiou48zXatWuXnZ1dfkrHjh2zsrKi0Wgsw8rOzj7kkEO+6bAtWrQoKioqKipKTk4OgqAsAhs6dOjzzz9fWlo6cODACllV5UoAAACApsARWHyN3r17l5SUzJw5c/fu3R9//PGCBQt69eoVBMGsWbPy8vI2bdr00EMPnXvuubUcLS0t7dNPPy0tLU1OTs7IyHjqqaf27t07b968nJyc2Az9+vVbv379woULK5w/WGUldbiYAAAAQGgJsPgaSUlJU6ZMWbNmzfnnnz958uTOnTs3a9ZsypQp69atO//888ePHz9gwIALL7ywlqONGDHivffeGzly5J49eyZMmPDyyy+PHDkyOzv7+OOPj82QkJBw5pln7ty588gjj/zaSupyOQEAAICwirgAUIMWO/Oua9eu8S6kLt1zzz3du3cfNWpUvAsBAAAAQsERWITL+++/v3Tp0rI7DAIAAAC4iDsh8qtf/eqjjz669dZbW7VqFe9aAAAAgLBwCmHD1ihPIQQAAAAozymEAAAAAISaAAsAAACAUBNgAQAAABBqAiwAAAAAQk2ABQAAAECoNYt3AYRaQUFBXl5eaWlpvAsBAAAAwispKSk5OblNmzb1NL4Ai2pt2bIlKSmpU6dOCQmO1AMAAACqVVxcXFBQsHnz5i5dutTH+IIJqlZQUJCUlNSuXTvpFQAAAFCzpKSktm3bpqamFhQU1Mf4sgmqlpeXV38H/gEAAACNT2pqan5+fn2MLMCiaqWlpY69AgAAAGovMTGxpKSkPkaWUAAAAAAQagIsAAAAAEJNgAUAAABAqAmwAAAAAAg1ARYAAAAAoSbAAgAAACDUBFgAAAAAhJoACwAAAIBQE2ABAAAAEGoCLAAAAABCTYAFAAAAQKgJsAAAAAAINQEWAAAAAKEmwAIAAAAg1ARYAAAAAISaAAsAAACAUBNgAQAAABBqAiwAAAAAQk2ABQAAAECoCbAAAAAACDUBFgAAAAChJsACAAAAINQEWAAAAACEmgALAAAAgFATYAEAAAAQagIsAAAAAEJNgAUAAABAqAmwAAAAAAg1ARYAAAAAoSbAAgAAACDUBFgAAAAAhJoACwAAAIBQE2ABAAAAEGoCLAAAAABCTYAFAAAAQKgJsAAAAAAINQEWAAAAAKEmwAIAAAAg1ARYAAAAAISaAAsAAACAUBNgAQAAABBqAiwAAAAAQk2ABQAAAECoCbAAAAAACDUBFgAAAAChJsACAAAAINQEWAAAAACEmgALAAAAgFATYAEAAAAQagIsAAAAAEJNgAUAAABAqAmwAAAAAAg1ARYAAAAAoSbAAgAAACDUBFgAAAAAhJoACwAAAIBQE2ABAAAAEGoCLAAAAABCTYAFAAAAQKgJsAAAAAAINQEWAAAAAKEmwAIAAAAg1ARYAAAAAISaAAsAAACAUBNgAQAAABBqAiwAAAAAQk2ABQAAAECoCbAAAAAACDUBFgAAAAChJsACAAAAINQEWAAAAACEmgALAAAAgFATYAEAAAAQagIsAAAAAEJNgAUAAABAqAmwAAAAAAg1ARYAAAAAoSbAAgAAACDUBFgAAAAAhJoACwAAAIBQE2ABAAAAEGoCLAAAAABCTYAFAAAAQKgJsAAAAAAINQEWAAAAAKEmwAIAAAAg1ARYAAAAAISaAAsAAACAUBNgAQAAABBqAiwAAAAAQk2ABQAAAECoCbAAAAAACDUBFgAAAAChJsACAAAAINQEWAAAAACEmgALAAAAgFATYAEAAAAQagIsAAAAAEJNgAUAAABAqAmwAAAAAAg1ARYAAAAAoSbAAgAAACDUBFgAAAAAhJoACwAAAIBQE2ABAAAAEGoCLAAAAABCTYAFAAAAQKgJsAAAAAAINQEWAAAAAKEmwAIAAAAg1ARYAAAAAISaAAsAAACAUBNgAQAAABBqAiwAAAAAQk2ABQAAAECoCbAAAAAACDUBFgAAAAChJsACAAAAINQEWAAAAACEmgALAAAAgFATYAEAAAAQagIsAAAAAEJNgAUAAABAqAmwAAAAAAg1ARYAAAAAoSbAAgAAACDUBFgAAAAAhJoACwAAAIBQE2ABAAAAEGoCLAAAAABCTYAFAAAAQKgJsAAAAAAINQEWAAAAAKEmwAIAAAAg1ARYAAAAAISaAAsAAACAUBNgAQAAABBqAiwAAAAAQk2ABQAAAECoCbAAAAAACDUBFgAAAAChJsACAAAAINQEWAAAAACEmgALAAAAgFATYAEAAAAQagIsAAAAAEJNgAUAAABAqAmwAAAAAAg1ARYAAAAAoSbAAgAAACDUBFgAAAAAhJoACwAAAIBQE2ABAAAAEGoCLAAAAABCTYAFAAAAQKgJsAAAAAAINQEWAAAAAKEmwAIAAAAg1ARYAAAAAISaAAsAAACAUBNgAQAAABBqAiwAAAAAQk2ABQAAAECoCbAAAAAACDUBFgAAAAChJsACAAAAINQEWAAAAACEmgALAAAAgFATYAEAAAAQagIsAAAAAEJNgAUAAABAqAmwAAAAAAg1ARYAAAAAoSbAAgAAACDUBFgAAAAAhJoACwAAAIBQE2ABAAAAEGoCLAAAAABCTYAFAAAAQKgJsAAAAAAINQEWAAAAAKEmwAIAAAAg1ARYAAAAAISaAAsAAACAUBNgAQAAABBqAiwAAAAAQk2ABQAAAECoCbAAAAAACDUBFgAAAAChJsACAAAAINQEWAAAAACEmgALAAAAgFATYAEAAAAQagIsAAAAAEJNgAUAAABAqAmwAAAAAAg1ARYAAAAAoSbAAgAAACDUBFgAAAAAhJoACwAAAIBQE2ABAAAAEGoCLAAAAABCTYAFAAAAQKgJsAAAAAAINQEWAAAAAKEmwAIAAAAg1ARYAAAAAISaAAsAAACAUBNgAQAAABBqAiwAAAAAQk2ABQAAAECoCbAAAAAACDUBFgAAAAChJsCiaklJScXFxfGuAgAAAGgwiouLk5KS6mNkARZVS05OLigoiHcVAAAAQINRXFyckpJSHyMLsKhamzZt9u7du3v37pKSknjXAgAAAIRacXHxnj17du7c2apVq/oYv1l9DErj0KVLl4KCgtzcXBkWAAAAUIOkpKSUlJSuXbvW0/gCLGqSmpqampoa7yoAAACAJs0phAAAAACEmgALAAAAgFATYAEAAAAQagIsAAAAAEJNgAUAAABAqLkLITXJzc3NyckpLi6OdyFNTsuWLdPS0rp161bDPI3+r6MJoVKbPwcAAEA9iRQWFsa7Bg7ctm3bgiDo2rVrfQy+atWqli1bZmRkJCUl1cf41GDPnj3btm3btm3bSSedVOUMTeGvowmh8rV/DgAA4ADs3LmztLS0uLi4pKQk3rVUq1mzZsnJySkpKSkpKXGrIV7/MSGXm5ubmpr6ne98J96FNFEtW7Zs2bJlQkJCbm5uhw4dKvy2ifx1NCFUav5zAAAA31RRUVFubm7r1q2j0WiLFi0SEsJ7laf9+/eXlJQUFBTk5+e3a9cuMTHx4NcQ3u4QXzk5Oc4VirtOnTrl5ORUnt6k/jqaECrV/TkAAIBvKjc3t3379klJScnJyWFOr4IgaNasWfPmzdPS0pKTk7/66qu41BDqBhFHxcXFTsuKu6SkpCqv7tSk/jqaECrV/TkAAIBvZOfOna1bt453Fd9Y8+bNW7duvXPnzoP/XwuwAAAAAA6q0tLSaDQa7yoORDQaLS0tPfj/rwALAAAA4KAqLi5u1qxBXpe8WbNmcTkto0E2CwAAAKDhKikpqe66V9FodPnHn778+r/fXbF267adQeQglhUNOrZve0rvo8/+3ql9jzsiEqni/05ISIjLDRMFWAAAAAChsG3n7rv+9MyLi5buKdgblwKyvtz8/ger//LcKyMGn3HL1aPatw3LhboEWEDTUlJSsmPHjtzc3JKSksTExA4dOsTrLrAAAADlbdu5++e/fuBfyz6IdyFBQcGeZ59fmJWz5aHfXBeSDEuARb2IRqPRaDQSiVR5wCHES2lp6SeffPK3v/1t7969sRvqtWjR4rzzzuvZs2fIb1sLAAA0btFo9K4/Pf2vt96PdyH/v3+99f5df3p6ysSxYfhoL8CiXhQUFOzevbt169ZpaWnxrgWCIAj27t27d+/ePXv2rFu3rn379ueff35CQkJpaencuXPXrVuXlpbWsmXLFi1atGjRIt6VfivZ2dmXXXbZb37zm9NOOy3etQAAAN/A8lXr5y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alt="Monitoring ▸ Icon"></div>
+
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="ttl">Monitoring</div><div class="r tb"><div class="tab">Tổng quan</div><div class="tab">Bảo mật</div><div class="tab">MCP</div><div class="tab">Hành động</div><div class="tab">Agent</div><div class="tab">Agents Admin</div><div class="tab">Công cụ</div><div class="tab on">Icon</div></div><div class="c grow"><div class="r tb"><div class="ttl">Icon</div><div class="grow"></div><div class="btn">+ Thêm icon</div><div class="btn">Dán SVG</div><div class="btn">Xoá</div></div><div class="srchwrap"><div class="inp grow">🔍 Tìm icon theo tên…</div></div><div class="hd2">ICON TÍCH HỢP</div><div class="r wrap"><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">✛</div><span class="s">plus</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">✓</div><span class="s">check</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">✕</div><span class="s">close</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">✎</div><span class="s">edit</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">🗑</div><span class="s">trash</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">⟳</div><span class="s">refresh</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">🔍</div><span class="s">search</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">⚙</div><span class="s">settings</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">🤖</div><span class="s">robot</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">🛡</div><span class="s">shield</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">🔧</div><span class="s">wrench</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">★</div><span class="s">star</span></div></div><div class="hd2" style="margin-top:4px">ICON TÙY CHỈNH</div><div class="r wrap"><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">🧠</div><span class="s">brain</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">⌥</div><span class="s">code</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">☁</div><span class="s">cloud</span></div></div></div></div><div class="dock fab" title="AI Assistant — trợ lý cách dùng app"><span class="spark">✨</span></div></div>
+<details class="ctl"><summary>Kiểm kê control — <b>4</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>Tìm icon có sẵn…</td><td class="mut">ô nhập</td><td><code>self._reload_builtin</code></td><td class="mut">ui\icons_admin_tab.py:43</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thêm tệp SVG</td><td class="mut">nút</td><td><code>self._add_icon</code></td><td class="mut">ui\icons_admin_tab.py:58</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Dán SVG</td><td class="mut">nút</td><td><code>self._add_from_svg_text</code></td><td class="mut">ui\icons_admin_tab.py:60</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xóa tùy chỉnh</td><td class="mut">nút</td><td><code>self._delete_icon</code></td><td class="mut">ui\icons_admin_tab.py:62</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Ô icon trong lưới hiện tại không có viền/hover rõ khi rê chuột hay khi đang chọn.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Ô tìm kiếm thêm icon kính lúp bên trái; mỗi ô icon có viền accent khi hover/chọn — cùng ngôn ngữ thẻ với Agent/Công cụ.</li></ul></div>
+</div></div></section><section class="sec" id="dialog-settings">
+<div class="hd"><b>17. Settings</b><span class="tag">ui/settings_dialog.py:26</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Thiết lập toàn app. Cuộn dọc, không mục lục.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAoAAAALQCAIAAACPIVaDAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAgAElEQVR4nOzdd1xTV/8H8JMbExKW7CUIIkNxoNZV3EXrwNa2jqqg1DoqbrGOp1XR4t4bFepG666P2loXUkRFVEYVAVkiS0SZgUBC8vvjPk9+eRISIgZu1M/75R/Jybnf870nMV/uDMvR0ZEAAABA06KYTgAAAOBjhAIMAADAABRgAAAABqAAAwAAMAAFGAAAgAEowAAAAAxAAQYAAGAACjAAAAADUIABAAAYgAIMAADAABRgAAAABqAAAwAAMKAZ0wkAAAC8xzw9PRVaEhISNFkQW8AAAAAMQAEGAABgAAowAAAAA1CAAQAAGIACDAAAwAAUYAAAAAbgMqT/MDY2NjIyoij8RQIA8LETi8VCobC4uLhRR0EBJoQQW1tbQohQKJRKpUznAgAADKMoSk9Pz97ePicnpxFHabzQ7wtjY2NCSHV1NaovAAAQQiQSSU1NjUgkMjIyarxRUICJkZFRTU0N01kAAIBuEYvF9BZaI0EBJhRFYdsXAAAUSKXSRj0xCAUYAACAASjAAAAADEABBgAAYAAKMAAAAANQgAEAABjAWAHm8/lr1qyZOnVq4w1hZGQUEhIye/ZsS0vL2bNnN95AAAAAb+tdC/DmzZt3797N5XJlLX5+fn5+fvUu6OfnFxISUlVV1blz53fMQZV27dqdPHkyPT1906ZNd+7caaRRFLRv337evHksFqtphgMAgPeUFraApVLpuHHj3nap0NDQFy9eHDt2LC4u7t1zqNO9e/du3br1xx9/+Pv7P3z4sE2bNkuXLtVWcBaLtXLlSjMzM/qph4fH7t27PTw8fHx8Dh48qPULixWGa9Omzbp169q3b6/dUQAAoMlo4V7Qp0+f/u6776Kjo9PS0hRecnBwCAgIcHZ2zsjISE5ONjQ03LNnDyHE3Nz8+++/b9eunUgkio6ODg8PF4lEhJDw8PAdO3b4+fmZmJjcvHnz4MGDCgHr7FDnKMbGxiEhIb6+vvSCQUFBrq6uhw8fbsAKBgYGtm3bVr4lIiLi+PHjQUFB9FN9fX1vb++goKAJEyZs375dKBQ2YBTa3LlzU1NT//zzT1mLl5dXnz591q9fLxuOx+P1799/xYoV06ZNy8zMFAgEhJAhQ4ZUVlb+/fffDR4aAACakha2gIuLi48cOTJjxgw2m/0/oSlqwYIFCQkJkydPPnz4cN++fWXtP/30U25u7qxZs5YvX+7u7j5q1CjZUv369Vu2bNny5cu9vb3d3d2Vh1PooGoUZTt27Lh27VoDVnDLli1Tp07917/+VV1dPXXq1KlTpx4/fly+Q2Vl5c6dO4uKirZu3fou1ZcQcufOnR49esi39OzZMzo6Wr5FKBTu3btXKBTu2LGDrr6EEGtra/kDAQAAoOO0cxJWRERESUnJN998I9/o6urK4XBOnTolEAhSUlJu3LhBt7u5uXG53BMnTlRUVOTn5x8+fLhfv36ypc6dO1dSUpKZmRkfH+/k5KQ8lkIHVaM0gV27dtG3CTU1NZ07d+7OnTuXLl3asmVL2audO3cODg7esWPHt99+Szfa2dktWbJkz549S5YsGTVqlL+/v0LMuLg4MzOzFi1a0E9NTExatWr14MED9cMFBgb27t3722+/DQ0N1dfXb5K1BwCAd6K1s6D37Nnj4+Njb28va7GyssrNzZUdDS0vL6cfWFpa5ufny9oLCgpMTU1lSxUVFdEPKioqeDye8kAKHVSN0mQoipo9e3ZGRsbChQuvX78+bdo02RlYn3766caNGzdt2tS7d+/WrVtTFPXDDz8kJSX9+OOPp0+f7tmzp3I0sVj88OFD2UZwjx494uPj5beq6xxuy5Ytt2/fPnny5NSpUysrK5tgrQEA4B1prQAXFRX99ttvM2bMkJWfiooKc3NzWQcrKyv6wevXr21tbWXdrK2tCwsLGzyuqlGqqqq4XC6Hw6Gfyk5f0jpnZ2cOh3Px4kWhUHjv3j3y318XJoT88ccfZWVl2dnZT548cXBwaNWqFd2zsrIyPT399u3bdQa8e/du9+7d6fnp2bOnwvnbaoYDAID3iDavA/7rr79qa2u9vLzop8nJyebm5sOGDePz+Z6enrINvpSUFELIuHHjDA0Nra2t/f39r1692uBBVY0iEokKCgq+/PJLPp8/ePBgS0vLd1s5lczNzW1sbEL/y9ra2sTEhH7pzZs39AOBQKCnp2dhYSG/6V9RUVFnwGfPnkml0tatW7do0UJfX5+eLk2GAwCA94gWzoKWkUqlISEhmzdvpp9WVVVt2LBh6tSpfn5+jx49ioiIoA9P1tbWrlq1aurUqXv37i0vL79+/frly5cbPKiqUQghISEhM2bM+Oabb65evapQxrSotLQ0MzNzzZo19fYUCATyO9stLCzq7CaVSmNiYnr06CEUCu/evSuRSBo2HAAA6LJ3LcALFiyQf5qXlyd/TXBSUtL8+fPpx3PmzMnIyKAfv3z5ctWqVcrRZFcNEUL27t2rYQdVoyQlJc2aNestV+itpaWlmZiY9O/f/969e+pPgU5LSzMzM/vss8/u3LnTunXrLl26PHnypM6ed+/eXbBggUgk2r59u4bDVVZW2tvbUxSlULABAEA3NcWtKOnrVrt166ZwOc37OIoysVi8a9eunj17btmyZdu2bRMnTlTVUygU7t69u2/fvps3b+7Tp8+dO3dqamrq7Pny5cvi4uKysjLlo+OqhouOjnZ3d9+8eXOdZ64BAICuYTk6OjZe9ODgYGdnZ0JIVlbW0aNHk5OTdXAUBwcH2dW0TWny5MnPnz+/fv160w8NAACaMDAwePHihfo+np6eCi0JCQmaBNfmMWBly5Yta9T4TTmKFvF4vM6dO3t6ep45c6bBQQIDA0+cOJGfn6/FxAAAoMk0bgEGBQsXLnR0dJRKpTk5OTt27CgtLW1wqC1btmgxMQAAaGIowE1q48aNTKcAAAA6gbHfAwYAAPiYoQADAAAwAAUYAACAASjARCwWUxTmAQAA/gdFUWKxuBHjN17o90VVVZXsNxsAAABoFEVVVVU1YvzGC/2+KCkpYbPZHA5H9gNNAADwMaMoisPh6OnplZSUNN4ouAyJEEJycnKMjIyMjY2xLxoAAMRicVVV1cuXLxt1FBTg/ygvLy8vL2c6CwAA+Fhggw8AAIABKMAAAAAMQAEGAABgAAowAAAAA1CAAQAAGICzoEktz+x1j9lVdt016cwrfKyfHWmYFcESNeLV2QAA8MFDASave84WWnTUsLPQqr3Qsq3Q5hPLqOBGzQoAAD5sKMCkylajbd//x2JX2vdsnFwAAOBjgWPADVRj5sp0CgAfteDg4OnTpzOdBUDDoQA3EPfNM6ZT0KYpU6YMHTqU6Sw+ZBwOZ+vWrXZ2dkwnwgwej3fixIkBAwZoMeb69es9PT21GBCgiaEANx2KorZt22ZhYUEIMTIyCgkJmT17tqWl5ezZszWMEB4ebmJi0hi5HT582MvLy9XV9fDhwz4+Po0xxLtTXn1tTYiqOB06dNi7d2/nzp0bHIHL5W7evHnOnDnDhw+/cuVKXl6edvNUbpH/mKkyfPjwGTNmyLeYmZlt2LDB2Nj4XdJTQygUrlq1qmdPLRy7adas2fr16xcuXDhy5MiMjIx3DwjAFBwDbhSOjo6jRo1q3749n88vKiq6cePG+fPnJRLJvHnz6A7t2rU7efKkvr7+pk2bduzYwWy2hBCRSBQUFLR48eKlS5eOHj360aNH+fn5miz41VdfCQSCa9euNXaGTY/P5w8ePHj+/PmBgYHPnj2rqKhQ6KDJuo8dO/bIkSMdOnTIz8+/d+9eY+b7H/IfM2X+/v5ffvkl/Tg/P//8+fOEEBaLNXXq1N27d5eVlTVeYhMnToyMjHz3OKNGjTpz5oyzs3NBQcHhw4ffPSAAU1CAta9jx44LFiw4f/780aNHKyoqXFxcevXqpdBH9l38xx9/EELatGkzatSoVatWNXWuciQSydq1awkhW7Zs0XwpOzu77OzsRkuKSVVVVZs2bSKErF69us4Omqz7kSNHCCEJCQlaT69hDh8+fPjw4eHDh7ds2ZKuvoQQqVS6fv36xh568eLF9IN3/LT/9ttvhJDY2FitZQbAEBRgLeNwOLNmzQoLC4uKiqJbEhMTExMT6cfh4eEzZ86USCQhISG+vr50Y1BQEL3vVyGUkZHRpEmTOnXqxGKxQkND79y5Qwhxc3Pz8/MzMzP7+++/9+/fTwj57LPPvv76a3Nz85SUlG3btpWWli5fvvzevXtXr14lhPD5/LCwsB9++EF+Ay48PHzHjh1+fn4mJiY3b948ePAgIcTc3DwgIKBNmzZ5eXkhISGZmZmqesoEBQV17NiREDJp0qSJEyfu378/NDTU39//5MmTV65cMTc3//7779u1aycSiaKjo8PDw0UikaqYDg4OAQEBzs7OGRkZycnJhoaGe/bsUTXJU6ZMcXBwCA4O1taE1BmnzglRte6qIjAyA/THTOF3TK2srAICAlxdXV+8ePH06VNZu9aTVPjcPn78WNWnXfmdUgj19ddf+/j48Hi8GzduyD6ldWYL8D7CMWAt8/DwYLFYsuqroR07dijvyVy8eHF1dfX8+fN/+eUXPT09uvGzzz4LCgpaunRpnz59PDw8CCGOjo5bt26dOnUqIeSLL74ghERGRsoOtvXo0SM+Pl5592m/fv2WLVu2fPlyb29vd3d3iqJ++umn1NTUKVOmXL58OTAwUPbTyAo95YOsXLmS/mYcOXKkQCAghHh6es6cOfPKlSt0wNzc3FmzZi1fvtzd3X3UqFFqRl+wYEFCQsLkyZMPHz7ct29fNXPl4+Pj4eGxfv16sVisxQlRiKNmQlSte50RGJkBZXQyT58+nTZt2qFDh2TxGyPJOj+38mSfduV3Sp6rq+vnn3++cOFCPz8/uvqqzxbgvYMCrGXm5uYFBQX0YwMDg7P/9bZxXFxcLCwswsLCSktLMzMzIyIi6PYzZ84UFxdnZWXFx8e3bNmSEHLw4MGMjAyBQBAVFUWfZBsTE+Pi4mJoaEgI8fLyunXrlnL8c+fOlZSUZGZmxsfHOzk5ubm5cbncU6dOCYXCyMhIFovVokWLOnuqT/vKlSuVlZWEEDrgiRMnKioq8vPzDx8+3K9fP1Wju7q6cjicU6dOCQSClJSUGzduqIrfpUuX4cOHr1q1ih5FixOiEEfNhKhSZwRGZkCZq6srm80+depUZWVlSkrK9evX6XatJ6nqc1sn5XdKnkQi4fP5pqamshb12QK8d7ALWssEAoHsBFSBQDBy5EgDAwP6QOBbsbGxefHiRW1trUJ7UVGRLDi9eeHl5dW3b197e3sLCwt6X7dQKHz48GHXrl1jY2OdnJwePXqkHF8Wp6KigsfjWVpa2tnZyf+hYGZm9uLFC+We6tOWdba0tMzPz5dKpfTTgoIC+W9ShZhWVla5ubmyzuXl5fKd5fn5+Z07d+7NmzeNNyF0HDUTUu+6yyIwNQPKrKys5M+qq6ioMDMzI43wNqn63NZJ+Z2Sl56efuzYsSVLluTm5u7fvz8/P199tgDvHRRgLUtKSjIxMenYsaPyF4pMVVUVl8vlcDj04Sv6q1BBWVmZjY1NvcO1bdvW398/NDQ0Ozu7ffv2sh2tf//99+DBg1ks1t27dzX5NiwpKUlLS5OdJtNgsrFev35ta2vLYrHor0tra+vCwkJVS1VUVJibm8ueWllZqeq5c+fOuXPnZmRkJCUl1dlBdyaEqRlQFV/+wiRra+tGSlL5c6vq067qnZJ3/fr1iIiIkSNHLly4MDAw8K2yBdB92AWtZeXl5eHh4fPnzx8wYICJiQmPx2vTpo1CH5FIVFBQ8OWXX9IXulhaWirHefr0KUVRvr6+hoaGLi4u/fv3r3M4Kyur0tJS+mrIPn36yNoTEhIcHR379u2rfh+gTHJysqmp6eDBg/l8voZrShMIBI6OjgrHRwkhKSkphJBx48YZGhpaW1v7+/vT50CpGt3c3HzYsGF8Pt/T01PN1aKZmZm7d+9etGiRg4NDnR2ackJUrTuNqRlQszr0CU2dOnXq0aNHIyWp/LlV9WlX9U4pkEqlmZmZHA7nbbMF0H0owNp36dKlffv2ff755yEhIfv27Rs5cuS+ffsU+oSEhAwYMCAsLMzGxob+WlEgEolWrVrVunXrffv2zZs3T9Vf+jExMaWlpbt3716wYEF8fLysXSKR3L9/39jYOCsrS5OcRSLR2rVr+/Xrd+DAgcOHDwcEBGi4sjdv3mzfvv2vv/6qsHe6trZ21apVzs7Oe/fuXbFixcOHDy9fvqwqSFVV1YYNGwYNGvTrr78OGjQoIiKiurpaVefY2NgzZ84sW7ZMfmtMpiknRNW605iaAVXxN27cOHDgwIMHDw4cOFBWt7SeZJ2f2zo/7areKRlPT89Dhw6dOHFi7Nix9LnWb5UtgO5jOTo6Mp0Dw156rxdatX+rRfSKkmyuLWykfLRl+vTpOTk5ly5dYjqRtzZnzpyMjAytZ/4eTUgjzYB2vRdJAjQB5VuianjpP7aAiX52JJFqdM7If0kN0640VjYNYmZmpnAjhXbt2nXv3r3O0311GY/H69+/f7du3aKjo7UbucETEhQUZG9vr91k1Gi8GdCi9yJJAN2HLWAi5fCLev6o4S8M6hUlGaZdMcxUeZWILggMDGzTps2ePXvq3LOnm4KDg52dnQkhWVlZR48eTU5O1mLw92JCGnUGtOW9SBKgiTV4CxgFGAAAoOGwCxoAAOB9ggIMAADAABRgAAAABqAAAwAAMAAFGAAAgAG4FzSp5Zm97jG7yq67Jp15hY/1syMNsyJYoqrGTgwAAD5gKMDkdc/ZQouOGnYWWrUXWrYV2nxiGRXcqFkBAMCHDbugSZVtdymnnl/Z+x8stoZ37QAA3UFR1MaNG1euXGltbb1o0SKm0wFAAW6oGjNXplMAgLdgZ2eXkJBw6dKlVatWpaamMp0OAHZBNxT3zTOmU4CmxuFwNmzYsHHjxry8PKZzgbeWk5Nz7NgxQkhsbCzTuQAQgi3gpkRR1LZt22S/i96hQ4e9e/d27ty5YdHCw8NNTEyU2/l8/po1a6ZOndrwRDUYhfbDDz8MGjToHQOqH+JdItM0n2dVEbhc7ubNm+fMmTN8+PArV668Y/XVZAYUPipqNOAt0DVv9QHo3LnzhAkTDAwMgoODmzXTaPtBPj6fz9+1a9e0adNkr2o+1QBahwKsfZs3b+7Y8f/P6uJwOGfPnuVwOBKJZN68eUVFRYQQ+sfJ58+fP2zYMENDQw0jf/XVV/V+2/r5+YWEhFRVVTW4tGuoW7duNTU1165da9RR3lG986zJlI4dO/bIkSNv3rzJz8//66+/GifT/yH/UZGnkO178RZoV0JCgr29/b59++7cuSMWi992cV9f3127dhG5m/eqmmqAJoBd0MyoqqratGkTIWT16tWaL2VnZ5edna2+T2hoKCGE3tXWqGJjY3V/V16986zJlB45coRofHf1RqWQ7XvxFmiXRCJZu3ZtgxcPCwsjhOBHnEBHoAA3qfDw8JkzZ5aUlJibmwcEBLRp0yYvLy8kJCQzM5N+dceOHX5+fiYmJjdv3jx48KD8skFBQfSG9aRJkyZOnEgIcXNz8/PzMzMz+/vvv/fv308IMTc3//7779u1aycSiaKjo8PDw0UikarIDg4OAQEBzs7OGRkZycnJhoaGe/bsUc65VatWEyZMsLa2TkhI2LNnT0VFBSHks88++/rrr83NzVNSUrZt21ZaWqpm9DpNmTLFwcEhODi4zhVRjr98+fJ79+5dvXqVEMLn88PCwn744Qc6GZk6J0R5nhmfUk1mQPZRUZVtjx49lN8CIyOjSZMmderUicVihYaG3rlzR37x6Ojo69ev0yu1ZcuW+fPn79y509fXV9bhzz//vH//vmyR4cOHf/LJJytXriSEzJo16+XLl6dPn26MCdF82uv84KlZa3lqMleYaoCmgV3QDKAo6qeffkpNTZ0yZcrly5cDAwMp6j9vRL9+/ZYtW7Z8+XJvb293d3f5pVauXHnjxo2DBw+OHDlSIBAQQj777LOgoKClS5f26dPHw8ODDpubmztr1qzly5e7u7uPGjVKtrhCZIqiFixYkJCQMHny5MOHD/ft21dVtkOGDNmwYUNAQABFUf7+/nSjo6Pj1q1b6SPNX3zxhWylVI2uwMfHx8PDY/369fReRIUVqTN+ZGRkz57/ufqrR48e8fHxCtVX1YTUOc/MTqkmM6BMIVvlKSKELF68uLq6ev78+b/88ouenp784lFRUbIJ9PLyunv3br27cP/8809TU9OOHTs6OTm5ubn9/vvvjTQhmk/72661zFt9PgGaBgpwowgKCjr7X7/99pvCq25ublwu99SpU0KhMDIyksVitWjRgn7p3LlzJSUlmZmZ8fHxTk5O6kc5c+ZMcXFxVlZWfHx8y5Yt6bAnTpyoqKjIz88/fPhwv379ZJ0VIru6unI4nFOnTgkEgpSUlBs3bqga5dy5cwUFBWVlZUePHu3WrRvdePDgwYyMDIFAEBUVZWdnJ1spVaPL69Kly/Dhw1etWlVZWVnnitQZPyYmxsXFhT6O6+XldevWLQ0npM55ZnZKNZmBeilPkYuLi4WFRVhYWGlpaWZmZkREhHz/e/futW3b1sDAgBDSq1evyMjIeoeora0NCwsbP378xIkTw8LCRCJRI02I5tP+tmsto/nnE6DJYBd0o1i5cmViYiL9mMPhKNRgS0tLOzu7s2fPylrMzMxevHhBCJGdDFJRUcHj1XN7EFlngUCgp6dnaWmZn58vlUrpxoKCAlNTU+XOdGQrK6vc3FxZ5/LycvnO8l6+fEk/KC0tNTAwYLFYUqnUy8urb9++9vb2FhYW9JqqH12en5/fuXPn3rx5o2pFCCHK8YVC4cOHD7t27RobG+vk5PTo0SNNJkTVPKvSNFOqyQzUS3mKbGxsXrx4UVtbW2f/ysrKhISErl27PnnyxNDQ8OnTp8bGxvWO8vjxY6lUyufzNXmXGzwhmk/72661jOafT4AmgwLMgJKSkrS0tMWLF2s37OvXr21tbekCSQixtrYuLCxU1bmiosLc3Fz21MrKSlVPIyMj+vCYg4PDq1evpFJp27Zt/f39Q0NDs7Oz27dvT+/Y1Hz0nTt3zp07NyMjIykpqc4OdcYnhPz999+DBw9msVh3796t9wuXaGOeG2lK652BetU5RWVlZTY2NmqWun37dp8+fUxMTKKiogghVVVVXC6Xw+HQh0LNzMyUF2nTpg1FURwOx83NLTU1tZEmRIGqURq21upjAjAIu6AZkJycbGpqOnjwYD6f/1YL0kf+FA5kyqSkpBBCxo0bZ2hoaG1t7e/vT5+ypCoHc3PzYcOG8fl8T09PWZFTNm7cOBMTEysrq+++++7mzZuEECsrq9LS0oyMDEJInz593nb0zMzM3bt3L1q0yMHBoc4OdcYnhCQkJDg6Ovbt21fVbkbldax3nhmZ0npnoN5s65yip0+fUhTl6+traGjo4uLSv39/hcVjY2NdXV27du1K78AXiUQFBQVffvklfbGWpaWlQv9mzZoFBAQcOnQoPDx8+vTpbDa7kSZEgapRGrbW6mMCMAgFmAEikWjt2rX9+vU7cODA4cOHAwICNFzw5s2b7du3//XXX+vcO11bW7tq1SpnZ+e9e/euWLHi4cOHly9fVhWqqqpqw4YNgwYN+vXXXwcNGhQREVFdXV1nz7i4uE2bNq1bty45Ofn8+fOEkJiYmNLS0t27dy9YsCA+Pr4Bo8fGxp45c2bZsmXyW0gydcYnhEgkkvv37xsbG2dlZamKLE+TeWZkSkl9M6CKLNv4+HjlKRKJRKtWrWrduvW+ffvmzZunvIUnEonoi6lkhxVCQkIGDBgQFhZmY2NDlyh5o0aNev78+dOnTx8+fFhaWjp8+PDGmxB5qkap84NR71qrjwnAIJajoyPTOTDspfd6oVX7t1pEryjJ5trCRsqHEXPmzMnIyLh06RLTidRj+vTpOTk5up8neX+mtMlgQuBDJbuvi4yGtw3AFjDRz44k0voPKMqRGqZd0crQQUFB9vb2WgnVYDwer3///t26dYuOjmY2k3q1a9eue/fudZ7/rF4Tz/N7NKWEEC6Xu23bNg6H03hDaHdCzMzM1q9f/+5xABiHLWAi5fCLev6o4S8M6hUlGaZdMcxUeUHFeyQ4ONjZ2ZkQkpWVdfToUR2/PVBgYGCbNm327Nkjv1Na17xfU9oEMCHwMWjwFjAKMAAAQMNhFzQAAMD7BAUYAACAASjAAAAADEABBgAAYAAKMAAAAANQgAEAABiAAgwAAMAAFGAAAAAGoAADAAAwAAW4UdjZ2S1atKjOH1gFAAAghLBNTEyYzqEOXC73559/FgqFubm5Ci+x2Wx/f//mzZs/f/6ckdzU6NWrl7+/f1lZWe/evW/cuPHixQumMwIAgMZlY2Oj0CL7xU/1mNwCnjt37tKlS1u0aCFr+eKLL2bOnKl+qdra2lOnTrVv357x3xFSYGNj4+HhsW/fPi8vr99///1t7zs/ZsyY5cuXd+nSRb5x7ty5o0eP1mqaAACgExjeBc1isb744guKers0Kisrd+/enZOT00hZNUxBQUFoaOirV6/27NlTXFz8Vsvq6+u7urpmZGR07ty5kdIDAACd0ozZ4VNSUpydnfv06RMZGan8qr6+vq+vb8uWLfPz80+fPi0QCAgh/fv379ixo6Gh4atXry5evFhQUKC81Oeff+7s7MzlcqOiop49ezZ9+vTffvstNTWVEDJz5szc3Nzff/+dy+UuWbIkKiqqRYsWDg4OOTk5Z8+eraysJITY2dl98cUXFhYWz58/r6qqsre33759u/pRoqOjlROjh4iMjLSxsXF2dn79+vXFixfz8/OV17RDhw6lpaU3btyYOnWqubn56zar+okAACAASURBVNevtTK9AACgsxjeAi4vL79x40bv3r0tLS2VX/3kk0/i4uIuX77s4ODQs+d/fq+Xy+WeO3cuLCxMT09vyJAhCouwWCxfX18nJ6crV66cOnVKIpGoT6BLly4PHjy4ePGik5PTp59+Sghhs9ljxoyRSqXHjh1LSkpq06aN8lJ1jqIqsa5duz59+vS3337jcrmjRo2qc3Pf09MzISEhPz//1atXnTp1Up8zAAB8AJg/C/rBgwc5OTkjRoxgsVgKLz1+/DgpKSkxMfHVq1eyCn316tWcnJzCwsKnT59aWVkpLOLk5GRra3vx4sWkpKSMjIy7d++qHz0hISE5Ofnx48f5+fl0NGdnZ2Nj4ytXrjx//vzRo0d1HsqtcxRViT1+/DgxMTEzM/PWrVumpqbKf2rY2NhYW1v/888/hJDExMQOHTooTwUAAHxgGN4FTQiRSqWXLl2aNm1ajx49pFKp/EslJSX0A4FAwOFwCCEsFqtz585t27Y1MzNr3ry5WCxWiGZubk4IqXM3b53Ky8vpB1VVVVwulxDSvHlzQkhRURHdTu+UrncUNYm9efNGfiw9PT2FaJ6eniwWa86cObIWZ2fn9PR0DVcBAADeR8wXYELI69evb926NWDAgOzsbPl2hXpMCPHw8Bg2bNjp06dzcnK6du1K7zSWV1FRQQixtLSUXaRUU1ND/lv2WCyWvr6++mSEQiEhpHnz5nTprfNaXuVR1CQmG5He9i0tLZUPxWazO3ToEBMT8/TpU7pl2LBhnTp1QgEGAPiwabkAs1gs5aqpiZiYmHbt2rVu3Vr9+UcmJiYSiUQkEllYWHTo0EG5Q0ZGRllZ2fDhw69du1ZbW2tlZRUTE1NZWdm9e/fi4uK2bdsqb4AqyMzMFIlEgwcPvnnzpq2tbcuWLZU3gpVHoShKVWLdunXLz8+vra3t3bv38+fPFQqwm5ubvr5+QkKC7Gyyp0+f9urVi8fj0X8KAADAB0k7BZjH4xFC2Gy28sHLqqoqNQuyWCw2m00/vnjx4pQpU+g49JlKFEXRr9Jh2Wz2P//84+bmNnbs2Ly8vPT0dE9PT9nitNra2uPHj3/++efffPNNdXV1ZGQki8W6fPny4MGD/fz87t+/X1xcTA+qMASNzWYLhcLz588PGjTI19c3KSkpOTnZ1ta23lHS0tKUE6OHePLkSb9+/SwsLLKzsy9fvqwQqnPnzhUVFUVFRbL2jIyMfv36tW/fPi4uTmGKlPH5fDXTCwAAb0UqldbW1orFYuVDnFrHcnR0fJflKYrS19cXiUQsFlXvKcfvI3//iQKB4MyZsw1YlsPhLFgQeOPGjdjYB1pPDAAAtI7FYrFYLIqipFKJUCjUZJ+up6enQktCQoImY73rWdD6+vo1NSKplHxI1ferr75ydm5lZ2fn7e1ta2sbH6/RVAIAwPtOKpVKJBJ689fAwKBRx3qnXdA8Hk8kEmkrFd0hFou/+OKLZs2aFRcXX7p0KS0tjemMAACgSdXWSqRSoqenV11d3UhDvNMuaB6PRwjrQ9r2BQAAoFEUxWLVcyYTYWoXNJvNRvUFAIAPkkQiedufKngr7xQaN2wCAIAPWKOWOeZvRQkAAPARQgEGAABgAAowAAAAA1CAAQAAGIACDAAAwAAUYAAAAAagAAMAADAABRgAAIABKMAAAAAMQAEGAABgAAowAAAAA1CAAQAAGIACDAAAwAAUYAAAAAagAAMAADAABRgAAIABKMAAAAAMQAEGAABgAAowAAAAA5oxnQB8gAwM9PX19SkKf94BAAPEYnFNTU15eQXTidQDBRi0zMLCXCqVCoVCqVTKdC4A8DGiKIrD4VhZWRYWvmI6F3WwjQLaZGCgL5VKq6urUX0BgCkSiaSmpkYkEunr6zOdizoowKBN+vr6NTU1TGcBAEDEYrGBAQowfDQoisK2LwDoAqlUquNnouh0cgAAAB8qFGAAAAAGoAADAAAwAAUYAACAASjA2vfppz3nz5/HdBYAAKDTdL0AHzp00MSkuUJjs2bNli9f5urqykhKqnTt2vXQoYNt27YdMmRoaGhYAyIMGzZ02rRpWk9M/Sjff//9oEEDG3tQAABQwHwBXrdu7bZtW7lcrqxl3Lhx48aNU7OIWCzetm37mDGjeTxe4yeoEWNj4/79+y9atPirr0asWbOmouLtboHm5+d74sTxCRMmDBjQf8SILxspyTodOnSoU6dOtra2TTkoAAAwX4AJIVKpdMyY0W+1SFlZ2erVa4RCYSOl9LbKyso2bdpUWFi4du266urqt1382LHwcePGHz16NCLi1oUL/26MDFWRSCQbN27Kz89vykHV2LVrl7GxsfyDphxUR+IoGzhwoL+/PyNDA0Aj0Yl7QZ87d27ChAl37tzNyMhQftXFxXXcuLGmpqa3b0cfOHCAENK/f/8vv/zCzMzs2bNnu3btLi0tVVjE0NBw4sSJHTt2oCjqwIEDT54k7dy547vvJtGv/vzzT3/9dfXBgweHDh3cvXvPuHFjmzdvfutW5NGjRwkh9vb2U6dOadWqVWZmZmpqqoGB4f79+9XHv3cvps6UDh06uG3btnHjxllZWT1+/GTfvn3KW8aWlpbTpk11cXF58eJFSkqKrF1VwIYlTI/i6uqanZ2dmppKNxoZGWl3WjTn6ek5ZMiQli1bSqXSzMzMCxcupKWlNThag33xxRdVVVXXr19v+qGbzIgRIwQCwYe9jgDvKZ3YAi4uLgkPPz59+g9sNlv51X79+gUHr1q58pdevbzatm1LCHFwcNi5c9fMmbMIIUOHDlVe5McfF9TUVC9evGTNmrV6eup2U/fp0/uXX34JDl41YEB/NzdXiqLmzp3zzz+PAwJmhIcf7927d51LKcdXldKgQYO2bNk6d+48Fos1YYKfQhyKohYtWpicnDxz5qxjx47JD6cqYAMSlo0yY8bMY8eO9erVS82EvMu0aKhv376TJk26ffv2kiVLfv7550ePHs2ZM8fDw+NdYjaAtbV1hw4dbty40cTjNrGLFy/27t3b1NSU6UQAQJFObAETQiIjI728Ph0x4stz584rvPT777+XlJSUlJQkJv7j4GD/9OlTepuMEBIdfadLl84K/Z2dnc3MzH/5JVgikZSWlmZlZRkZGaka9/ffL5SUlJaUlCYm/uPo6EgI4XA4Z8+elUqlqampERERJiaK31zK8QkhqlK6cOHfL1++JIQcP378l19WKoRycWnNZjc7e/YcISQ19dnNmxGyL0pVARuQsJpRtDgtGuLxeKNHj96/f/8///xDt0RERBBCxo0bt2zZsjoX6dWr15AhQ8zMzNLT08PCwsrKygghu3btOnr06FdffcXn83/77beKigo/Pz8ej/fnn3/+9ddfqpaS5+3tff36dYUbZ5qamo4dO9bd3V0kEsXGxp4/f14kEhFCDAwMxo4d6+HhQVFUeHj4gwcP6o0vU2+qqga1sLCYOHGis7Nzbm6u/B4CU1PTiRMnuri4vHz58siRI9nZ2fLDDR061NvbW09P7/bt2ydPnpRIJLdu3RowYMC5c+c0fI8AoGnoSgEmhISGhq1duyYm5r5C++vXRfQDgaCCy9UjhPTs2aNXr9729i3Mzc0fP36s0N/GxiY3N0cikWgy6Js3r+kHFRXleno8S0urvLw82ZdyRUWFcqWpM76qlAoLX9IPyspK+Xw+i8WS/8a3tLQqKPj/g68CQYWsNKoK2ICE1YyixWnRkKurq0AgkFVf2t27d8ePH29qalpcXKy8iL29fWhoaFFR0fTp0wcOHCgrJO3atQsODm7Xrt3EiRMzMjLWrFljZWUVGBh49+7dsrIyVUvJeHh4/P777/ItLBZr9uzZiYmJR44cMTAwmDx5so+PD91n1qxZeXl5K1euNDExcXBwUJNVndSkWl5eXuegFEXNnj37wYMHISEhdnZ2AQEB9KTR7XFxcfv27evUqdO0adOWLVsme2tatWrVt2/f4OBg+eMyiYmJs2bNQgEG0DU6sQuaVlRUdPr06WnTprJYLDXd3N3dfX19IyIi1qxZe+DAQeUOZWVl1tbW8i1CoZDD4XA4HPqpmvJTUVFhZmYme2ppaalJfDUpGRr+Z+O7RQv7oqIihe0tgaDC3Nxc9tTKykrDdXyrhFWNot1p0VDz5s1fv36t0CgUCoVCoYGBQZ2LnDx5Mjs7u7KyMiYmxsbGRtZ+7dq1ysrK2NjYmpqaGzdulJWVpaWlFRQU0H1ULUWjV7yyslK+sXXr1lwu98KFCwKBoLCw8PTp0z179iSEODk5mZqahoeHl5WVZWdnR0dH1xtfgZpUVQ3aqlUrNpt98eLFqqqq9PT0qKgoOpSzszOHw7l48aJQKLx37x4hRP4MdolEwufzmzf/nyv33rx5g13QADpIhwowIeTateu1tbU9e/ZQ08fKyrKsrDwzM5MQ0quXl3KHlJQUiqLGjv3WwMCgdevWffr0EYlEL1++9PHx4fF4gwYNtLCwUBU8NTXV3Nx88ODBPB6vY8eO3bt31yS+mpTGjBltYtLc0tJywgS/W7ciFUIlJ6eYmpoOGTKEx+N5enbs1q2bhuv4VgmrGkW706KhyspK+VpO4/F4PB5P1V7crl27zpw5c9WqVb6+vvJnCcg28qqrq2WbzlVVVfQlbaqWovH5fIXqSwgxNzd/+fKl7I+kwsJCupJZWVnl5eUp7PNQH1+BmlRVDWphYUEfvKAJBAJZkjY2NqH/ZW1tbWJiIuv2/Pnzs2fPzpo1KzAwUP7PxJqaGvkr/QBAF+jQLmhCiFQqDQ0NXbdunZo+9+/Henl5bdu2NScn5+7dex4ebRU6iESidevWf//9pF27dpaUlOzfH0oICQ0NmzZt6ldfjbh+/fqzZ89UBa+qqtq8ecv3338/btzY+PiEyMhI5d9zVo6fkZGhKqX4+IQ1a9ZQFBUdfeff/1a8vkgoFG7dum3SpEnjxo2Ni4u/fv0GvXFZ7zq+VcKqRtHutGgoJSXFxMTEw8MjKSlJ1tirV6/nz5/XWYBdXFxGjx4dHh6el5fn7u7epUsXTUapd6mqqirli8iLi4utrKxkhwksLS3pjfXy8nKFjf6GZVUnVYMKBII69zqUlpZmZmauWbNGVcCoqKjo6GgfH5+AgIAVK1bQjXp6evidZgBdw3wBXrLkX/JP8/ML/P2/kz2VXSRDCAkL+5V+sH79BlnjpUuXlGMWFBSsWbNWvuXp06fz5wcqdKszeHJy8qJFi+jHM2bMyMrK1CS+qpQePXp48+ZN5QjyicmGk6murq4zYIMTrnMUou1p0YRAILhw4cLUqVNPnDjx5MkTLpf7ySefDB8+fNeuXXX2t7CwKC8vz87ObtasWY8ePeizk+pV71J0C4/Hk7+UPD09nRAyYsSIa9eu8fn80aNHR0ZGEkLS0tLYbPbXX3999epVKysrGxsbqVTagKzqpGZQExMTb2/v6Ojo1q1bd+7c+cmTJ7L2/v3737t3T8118NnZ2T16/GdPkqmpqfKlegDAOOYLsG7i8XjdunX75JMux48fZzoXjTRNwloZ5cqVK8XFxYMHD/7uu+9qa2vT0tK2bdtGn0yuLC4urnv37mvWrMnNzX3w4IGbm5smQ2iyVFJSUrt27R4+fChrqa2t3b59u6+v77p16yoqKqKioujLZ0Ui0fbt28ePH79u3brS0tIjR448f/68AVnVSdWgQqEwJCRk/PjxI0eOTExMjIyMpI8RiMXiXbt2jR8/fsyYMTU1NY8ePTpy5IgsmoeHx7Rp0/T09PLz8w8dOkQ3dujQQflcRQBgHIu+yKRhDA0Na2oa/re/blq+fJmzs7NUKs3Ozg4PPy67bUUDHDp0cN68eSUljbvxocWE330Ua2sr2dFKHWdnZzdx4kT1xzs+ACwWa9myZbt371Y+9w3gg2dgYPDyZeG7ROByOfXeWtjT01OhJSEhQZPgKMCgTe9RASaEjBgxoqysjL4Q+UM1fPjw6urqa9euMZ0IAAN0vABjFzR8vC5cuMB0Co2uzpMkAEAX6NZlSAAAAB8JFGAAAAAGoAADAAAwAAUYAACAASjAoE1isZii8KECAOZRFFVbW8t0FurguxK0qbq6RvbrDgAADKIoSiisZjoLdVCAQZsqKirYbDaHw1H/k1YAAI2HoigOh6Onp1fvJbzMwnXAoGWFha/09fUNDPSxLxoAGFFbWysUVhcXlzCdSD1QgEH7KisrlX/sDwAA5GEbBQAAgAEowAAAAAxAAQYAAGAACjAAAAADUIABAAAYgLOgQfvYbIrNZjOdBQB8vCQSiVis07fBIijAoHVcLofNZlMUhXtxAAAjJBKJVCqlKKqmRsR0LuqgAIM2sdkURWHzFwCYJLsLEJst0eXbQeMYMGgTm81G9QUAXUBRFJut0zVOp5OD9xH2PAOALtD97yIUYAAAAAagAAMAADAABRgAAIABKMAAAAAMQAEGAABgAAowAAAAA5i/Ece6dWsdHR0JIW/evLl06dKff17RYvDQ0P3Lli0vKCign7q6us6cOWPevPny45aXl8fGxh46dFgkEtHtx46FP378WItpAAAAKNCJLeDVq9f4+vpt377j22+/dXJyaspxx4/3Xbp0mZOT07BhQ5ts3I/crl27jI2N36+xZHGaMnkA+LDpRAEmhEgkktTU1IKCgubNmxNC+vfvv2XL5kOHDv788090CyFkxIgvQ0L2HDjw64QJE+gWc3PzxYsXHzjw6+rVqxtWuaVSaWFh4cOHD21sbLS0KtAQQ4YM6du3r/JjDenr62/YsIHD4dT5VHfUuWr6+vpdunQJCAgYP368+kYan8/ftm1bnz596Kc+Pj4bNmzYuXPnjBkzDAwM1PQEAJ2iKwWYw+H06NGdothJSUmEEAcHh507d82cOYsQMnToUEKIi4uLt7f3v/710/ffTz569CghhKKohQt/TEt7NmPGzCtX/pwzZ47s/p+aY7FYDg4OvXv3fvDgobbXCd6CtbU1l8tVfqyhHj16PHz4kD6IoPxUd9S5agMHDmzTpk1+fr78XTzrbKQNGzZM/hY/+vr6a9eu/fnnn9ls9vDhw9X0BACdwvwxYELIzz//RAgRi8WnTp2mb5xNl1hCSHT0nS5dOhNCJJJaPp9vampaUlJCv+Ti4sLlcs+ePUcIiYq6/c0339jZ2eXk5LztuAKBYNu27Tjo25Rat279zTffmJiY3Lt3Lzw8PDAwsG3btoSQb7/9NjU11c3NjX48d+7cDRs27N27d+TIkRYWFsnJyYcOHRIIBBYWFosWLfrpp5/EYjEdsE+fPmFhYbL4Ck8JIaampmPHjnV3dxeJRLGxsefPn6fLs4GBwdixYz08PCiKCg8Pf/DgQa9evYYMGWJmZpaenh4WFlZWVqY+eTXBhw4d6u3traend/v27ZMnT8qv5sqVK+fMmUOvwr///W9CyMCBA42MjGSj1NlICGnZsqWLi0tiYqKs5fTp0/SD+Ph4Dw8PNT0BQKfoRAFevXpNUlKStbXV5MlT9PX5J0+e6tmzR69eve3tW5ibm9OlMSMj8/jxEz/+uCAvL+/XXw8UFBRYWlra2tqeOHFcFsfU1FShAIvF4mbN/n8dmzVrVlNTIz9uVlbWzJkzu3TpggLclLy8vDZt2mRsbLxw4cLY2NgtW7b4+/vn5uZev36dECL/mBAyYMCAPXv2CIVCf3//MWPGHDx4kG6Xbdu1atWquro6Ly+vzqd0z9mzZycmJh45csTAwGDy5Mk+Pj6///47IWTWrFl5eXkrV640MTFxcHAghNjb24eGhhYVFU2fPn3gwIHnzp1Tn/yzZ8/qDN6qVau+ffsGBweXlpbSC8qvpoWFBXn7e9VyuVx/f/8DBw58/vnn8u0URdnY2Hh5eV2+fFl9TwDQHbqyC1oikeTnF0RG3nJzc3d3d/f19Y2IiFizZu2BAwdlfSIiImbPnpOcnBwYOJ8QUlJSkp6ePm7ceNm/f/75RyHsq1ev6G9Vmp2d3cuXhfIdKioqdu/e3bt3LxcXl8ZcP/gff/zxR2lp6YsXL548edKiRYt6O7969aq8vPzMmTOenp6EkKKiokWLFsn2MPfp0ycqKkrWX+EpIaR169ZcLvfChQsCgaCwsPD06dM9e/YkhDg5OZmamoaHh5eVlWVnZ0dHRxNCTp48mZ2dXVlZGRMTU+eZAQrJqwoukUj4fL7sDAYFCqugIV9f37t37+bm5so3du7ced++fStWrHj+/HlKSoqangCgU3SlALNYLEtLywEDBqSmplhZWZaVlWdmZhJCevXyUuiZlfW8WTMOISQ1NdXU1HTQoIE8Hk9V2Dt37n777RgXFxc9PT03N7evvhpx61aEQp+KioozZ85+//2kBhxChoZ5/fo1/aCysrLew72vXr2iH5SXl+vr6ytsNfJ4vPbt28fGxtb5lGZubv7y5UupVEo/LSwspOuilZVVXl6eRCKR79y1a9eZM2euWrXK19e3zp9WVEheVfDnz5+fPXt21qxZgYGB1tbW6tdRE59//jmXy5XtGJCJi4ubNm3akiVLKIqaMWOGmp4AoFN0Yhc0fSy2tLQ0OvrO2bPn2Gy2l5fXtm1bc3Jy7t695+HRlhDSoUOHOXNm83i83Nzcffv2EUJEItHGjZsmTfrOz89PJBLdv39///5QhchXr17V1+fPnj3LxMSksLDw7NmzDx8+Uk7g+vXrAwd6DxzoffXqNVk+hJCKioqpU6c16rpDvQwNDekDsba2tq9fv5aVOlr37t3j4+Nlm5IKT2nFxcVWVlYsFote1tLSki6i5eXllpaW8j1dXFxGjx4dHh6el5fn7u7epUuXetNTFZwQEhUVFR0d7ePjExAQsGLFioZOwH8MHjzY2Ni4a9eu9FMvLy87O7uTJ08SQqRS6Zs3b/79739v2rSJoig1PQFAdzBfgJcs+ZdCi1gsXr9+g+zppUuXCCH//POPci3MysoKClqhJrhEIjl37vy5c+fVjyuRSBYtWqwqH2gClZWV9vb2FEVJJBL5x4SQr7766tixY1wud8yYMbdv3yaEWFhYLFy48OeffxaLxX369Dl8+LAsjsJTWnp6OiFkxIgR165d4/P5o0ePjoyMJISkpaWx2eyvv/766tWrVlZWNjY2Uqm0vLw8Ozu7WbNmPXr00GQXsargMtnZ2T169FBYTTMzM9kqaDhFCxYskD2eNGlSWlpaVFSUo6Nj27Zt79y5U1tbO2zYsGfPnkkkkjp7ajgKADQZ7HQFnRAdHe3u7r5582Yejyf/mBDy+PHjZcuW/etf/0pPT79y5T83SmOxWPQlZFKpVHbmncJTmdra2u3btzs6Oq5bt27BggWJiYn07lmRSLR9+3YnJ6d169ZNnjz59evXcXFxZWVla9as+eGHH548eaJJ5qqCe3h4bNu2bffu3SNGjDh06JDCaurp6dGr8I7zVlJS4uHhsXr16uDgYCMjo9BQxZ1AAKCzWPTtGBvG0NCwpkbnLrUEBnG5nLe9hFe9Xbt2/fTTT8rXAtHGjx+fnZ1NbxYrPwWAj1xNTc07Fikul1NRUaG+D31yqLyEhARNgmMLGN5XHA6nU6dOsvOtFJ4CAOg45o8BAzSMSCRatGiRqqcAADoOBRh02qxZs5hOAQCgUWAXNAAAAANQgAEAABiAAgwAAMAAFGDQMoU7OwIAMELhrnk6CAUYtEkiker+hx4APgYSiUTHtwdwFjRok1gspigWIYSiKPwUPAAwQiqVSqVSsVgsFtcynYs6KMCgZTU1IjZbwmZj5woAMEYikeh49SUowNAYamtra2t1/aMPAMAsbKYAAAAwAAUYAACAASjAAAAADEABBgAAYAAKMAAAAANwFjRoH5tNsdlsprMAgI8XLkOCjxGXy2Gz2bgRBwAwRSKRSKVSiqJqakRM56IOCjBoE5tNURQ2fwGASRT1n6OrbLZEl+9JgGPAoE1sNhvVFwB0AUVROn5LPp1ODt5H2PMMALpA97+LUIABAAAYgAIMAADAABRgAAAABqAAAwAAMAAFGAAAgAEowAAAAAzQlQL83Xf+e/eGyK6eJoSsW7f2xInjx4+H79y5Y8yY0fRL69atbd++vcKy8o1jxoxesSKIw+E0WeYAAAANoBN3wuJwOD169MzLy/vkk09iY2Nl7atXr0lKSmrZsuWcOXNKS8v++usv9XH69evXtWu3X35ZKRLp9O3HAAAAdGILuGvXrs+fZ0VH3xkwoL/CSxKJJCsr6+rVqx07dlAfpF27dl9//dW6desqKgR0i7m5+eLFiw8c+HX16tVOTk6EkJ9++tfAgQPpV/l8/sGDBwwMDLS7LgAAAJrQiQL82WcDYmLux8bGdujQwczMTLkDh9OsurpaTQR7e/tp06Zu2rT5zZs3dAtFUQsX/piW9mzGjJlXrvw5Z84ciqKioqK6d+9Gd+jatWtiYqJAIND66gAAANSL+QJsaWnp4eHx8OHDsrKylJTUvn37yr/arFmzNm3aDB069O+/o9QEGT7c58mTpJycHFmLi4sLl8s9e/acUCiMirrNYhE7O7v792OdnZ0NDQ0IIZ9+2lN9TAAAgMbD/DHgfv36paSklJWVEULu34/x8fG5cOGCVColhPz880+1tbX5+fnHjx+Pj49XEyQ8/PiYMaM//3zQ1avX6BZLS0tbW9sTJ47L+piamubk5MTFxXfu3OXRo0eOjo5xcXGNuWZQNxaLNWLEiD59+ohEoj/++OPvv/9mth0AgBEMF2CKovr162thYSFfKT08PJ48eUIIWb16zePHjzWJU15evmHDxpUrVxQXl9CncZWUlKSnpy9dukyhZ3T0bW/vgRRF3bsXI5FItLcqoClvb28fHx/68YQJE16/fk2/3Uy1AwAwguFd0B06tDc0NJw8ecq4cePpfzEx9z/7bEADQuXn52/fvj0gYLqbmyshJDU11dTUdNCggTweT75bxl+sUgAAIABJREFUYuI/jo4te/fuhQ0gpnTv3r3Op0y1AwAwguEC3L//gJs3b1ZWVspazp8/361bt4adnPzkSdKRI0cXLlxoZ2cnEok2btzUu3fvffv2hoWFTps2le4jkUhiYx8YGRk9f/5cO+sAb0nhN8JkT5lqBwBgBMO7oLdv367Q8vz584kT/QkhS5b8S7l/vY23bt26desW/TgrKysoaIVyfx5PD5u/DIqNjaWvCqM9ePCA2XYAAEawTUxMGrwwl8utrX3PDqN6eLT9+uuvQ0NDa2pwsw7tY7PZbDZbfZ+MjAw2m21tbV1ZWXn+/PmYmBhm2wHgQ1VbW/uORYrNZtfU1KjvY2Njo9Dy8uVLTYKzHB0dG5gXIYaGhu9XGZszZ467u9v+/fsTEhKZzuXDxOVyuFwu01kAABBCSE1NzTsWKS6XU1FRob6Pp6enQktCQoImwZm/DKkp7dixg+kUAAAACGH8JCwAAICPEwowAAAAA1CAAQAAGIACDAAAwAAUYAAAAAagAIOW4Q7bAKAL6B/10WUowKBNEolU9z/0APAxkEgkOr498HFdBwyNTSwWUxSLEEJRFG62DACMkEqlUqlULBaLxbVM56IOCjBoWU2NiM2WsNnYuQIAjJFIJDpefQkKMDSG2tra2lpd/+gDADALmykAAAAMQAEGAABgAAowAAAAA1CAAQAAGIACDAAAwACcBQ3aVFNTTQgxNjY2MjKiKPx5Bw0hFouFQmFxcbGaPu/jZ+xDXS8dJD/VXK4e0+mohAIMWmZra0sIEQqFuCUWNAxFUXp6evb29jk5OXV2eE8/Yx/qeumgeqdaR+DvLNAmY2NjQkh1dTW+QaDBJBJJTU2NSCQyMjJSfvX9/Yx9qOulg9RPte5AAQZtMjIyqqmpYToL+BCIxWK6Jil43z9jH+p66SBVU607UIBBmyiKwt/voBVSqbTOQ6Hv+2fsQ10vHaRqqnWHTicHAADwoUIBBgAAYAAKMAAAAANQgAEAABiA64AB4CPCYrHoBx/SGU9sNpvNZkskEoqi8GOg75EPZwt42LCh06ZNU9Ph0KGDJibNmywfANBBhoaGLVu2NDQ0ZDoRreHxeN26dRs1apS3t/eoUaO6devG4/GYTgo0wnwBXrdu7YYNGxQazczMjh07OmLEl4ykBAAfKiMjo5YtWzbs/gw9e/bcsGGDhYWF1rN6FxKJpLa2lqKoZs2a0VvAEomE6aQIIaR9+/bz5s2T7XJoAA6Hs2LFChsbGy1mpVOYL8CEEGNjo44dO8q3DB06RCAQMJUP6DIWi7Vy5UozMzOF9l27dr3tRfcNWAQ+Zvfv34+Li3Nzc6OfqvooNrGampri4uK8vLxHjx7l5eUVFxc32Q096vwf5OHhsXv3bg8PDx8fn4MHDzZgVz+Hw1m+fPnkyZO9vb1v3bpVUFCgI1OtdTpxDDgmJmbYsGGJiYn0Uz6f36tXr3/++UfWwczMzN9/ooeHh0gkunv37m+/nRSJRIQQS0vLadOmurq6Zmdnp6amyvqbm5tPmTLF3d0tP78gNDQ0KyuraVcIGpFUKg0KCqIfDxkypLKy8u+//653qZYtW44bN65ly5Z5eXmhoaGFhYWNnCa8rwIDA9u2bSvfEhERcfz4cUKImZlZr169bty4QbfLfxSZRVEUfccJ2QNlatarXpr/R9PX1/f29g4KCpowYcL27duFQuFbLU4bMWLEmTNn2rZtW1hY+OjRI6JLU61dOlGA7969N3v2LNmNs729vWNiYjgcDv0qRVGLFi2Mi4sLDQ01NDSaMSPg66+/OnXqNN1+7969rVu32du3mD9/flxcPN1/4cIfY2Njt2/f3q1b1zlz5vz44486sk8GtMva2jo3N7febjweb/bs2WfPnk1ISPD29p4xY8aKFSsaPzvQIXp6eiYmJiUlJcot1dXV8j23bNlCCLGwsFixYsWsWbPkXyoqKlJo0QVsNps+6Etv+PJ4PDabrXwelpr1qpeG/9EIIZWVlTt37iSEbN26tQGL086cOUMISUpKeqsk30c6sQu6trb2r7/+GjZsGCGEzWZ//vmgP/74U/aqi4sLl6t36tTpigpBQUHBsWPhvXv3IYS4uLRms5udPXuusrIyNfXZzZsRcv25Z8+eEwqFUVG3WSxiZ2fHyHqBGqampgEBAdu2bdu4ceOYMWNkf2/t2rXLy8try5YtAwYMoJ927tw5ODh4x44d3377rayPsbFxYGBg7969v/3229DQUH19fUJI69atg4ODd+7c6evrSwixsLDYsGFDs2bN3N3dX758ee/evaqqqsuXL+vr67ds2ZIO1bJly6CgoJ07d86YMcPAwICBiYAmoaen5+bm5u7uzufzCSF8Pt/d3d3NzU1PT9PfquvVq1dwcPDu3bsDAwNl+1114SiGsbGxmZnZq1evysrKXr16ZWZmpvkRblNT07lz5+7cuXPp0qWy/xRDhw7dtGnTzp076f9xyv/RlI0fP37BggXNmjVTDqhm8Tr/d6v5ZmB8qrVOJ7aACSHXr9/YunVL8+bNO3bskJGR+erVK9lLlpaWBQX5sgMJhYUvTU1NCCGWllYFBfmybgJBhampKd3f1tb2xIn/37Viamqq4z9K9bFhsVizZ89OTEw8cuSIgYHB5MmTfXx8fv/9d/rVtm3b/vzzz1VVVfTTTz/9dOPGjSYmJgsXLnzw4EF6ejrdvmXLFn9//9zc3OvXr9MtXl5emzZtMjY2XrhwYWxs7Js3b+ixuFyubBeIVCqtqKiwsLDIzs4mhAwYMGDPnj1CodDf33/06NGHDh1qwmmAplNZWZmTk+Pi4sJisaRSqbOzMyEkLS2tsrJSwwj29vahoaFFRUXTp08fOHDguXPnGjNfTXE4HDs7OzabnZWVJRKJnj9/bmFh0aJFC4FAQB+nU4OiqNmzZ8fFxe3bt69Tp07Tpk1btmyZk5NT3759g4ODS0tL6W7K/9EUeHt7u7q6btiwQSKRKAdUv7jC/+6MjAw13wwfHp3YAiaEVFZW3r4dPXCg97Bhwy5duiT/0ps3b2xsbGSn0llZWb16VUQIEQgqzM3NZd2srKzoByUlJenp6ePGjZf9kz+cDLqgdevWXC73woULAoGgsLDw9OnTPXv2lL1669YtWfUlhPzxxx9lZWXZ2dlPnjxxcHBQE/aPP/4oLS198eLFkydPWrRoUVRUtGjRIpFIlJaW1qpVq08++URPT+/TTz9t0aIFm82WLfLq1avy8vIzZ8506tSpkdYXmMJisYyNjQ0MDMRi8YsXL9LT03k8nq2tLZ/PT09Pf/HihVgsNjAwMDY2rvdk3ZMnT2ZnZ1dWVsbExOjOebnNmzdv3bo1IcTCwsLZ2Zn+SmzdunXz5vVfcuns7MzhcC5evCgUCu/du0cIsbW1lUgkfD5fk8VpHTp0GDhw4Pbt26uqquoMqH5xhf/d6r8ZPjy6sgVMCPnzzz/XrFmdn5+flpYm306fXTVmzOjLly/r6xv4+vrRf0klJ6eYmpoOGTLk1q1b7u5u3bp1S0hIpPubmpoOGjQwKuo2fQoA6Bpzc/OXL1/K7dUolP8PT2+5Kj8VCATqdxi+fv2aflBZWcnlcmXtxcXFoaGhY8aMmTJlSlxc3IsXL4qLi+mXZPtaysvL9fX16c2jd1o30CUURTk7O1dVVaWkpNA1uNn/sXfn8U1U68PAz0zWJumSpEn3lqabtNCyL7bsO4iK94JAAUWBnwICXgEXkPuKsihXRUC2Ku1lV28VUPatpWJLi5S2QKEFuu9bkiZpkkkm7x9zzY3N0gAt09bn+wefMDlzznPOpHkyZzYmMzg4uKioiMq+CCF/f38XF5e8vDzH968YMGDA4MGDfXx8RCJRfn7+0+qBI2w2OzAwkM/nK5VK84E2kiT5fH5AQIBSqXR8OrRYLPb29k5ISDAv8fDwuHPnTnJy8tKlS6urqw8dOlRTU+M4hpdeeun06dPUwXWbFVZWVjpYvdVft+Nvhu6nEyXg+vr6vLy8jIxrrZYbjcbNmz997bX527ZtU6lUly5dPnPmDEJIq9V++eXW+fPnz5o1Mzv75oULFyUSCUKIIIgtW/41f/6rc+bMIQgiMzNz794EG+0B+jQ1NUmlUnO2k0gk5tyJEOqI+/jk5uZSp9nz+fyPPvqopKSEWi4QCJRKJULIx8enoaEBsm/34+rqaj4xmCCI4uLimpqalpYW8wwtn89v8/B/aGjo9OnTDx06VFlZGRER0a9fv44N2gkYhrm7u/v7+2dnZ1ue1Y9hWFVVVVhYWHl5eX19vYOPtEKhKCoq2rhxY6vlaWlpV69enTJlyptvvtnm6YqJiYkLFiwoKSkpLCy0V6HzHH8zdD/0J+D33nvf/Hr79h3m19988635dW1t7ebNn1qvm5+fv3r1auvlxcXF//zn/2u18NVX5z9hqKC9UMdxX3jhhfPnz7u4uEyfPj01NfUx6tFoNP7+/jiO2zzL3dPTc9WqVWvWrKF2dDAM8/Lymj179qVLl8xfvi+++OLBgwfZbPaMGTN+/fXXJ+gT6KRMJpPl9LJer2+1X+jMtIenp2dzc3NpaSmTyRw8eHCbh1efAhzHxWKxVqt98OBBq3iUSmVgYKBIJGpsbHTwc/b+/fseHh4jR47MyMiwniwsLS0dPHgw9drBH1ppaWliYuKSJUs+++wzexU6/ju11F7fDF0F/QkY/AUZjcavvvoqPj5+8+bNKpUqLS3N3vkdjl29evWtt976/PPP33//fZsFMAyjvnxXrVoVHBysUqlSU1NPn/7fOfa3bt1at24dhmGZmZnUzAroTkwmU1NTU2RkJLJz82cMw2Qy2Z07dxzn4Ozs7EGDBm3cuLGiouL69evme3HQyGQyEQQhFov79u1L/cQ08/X1lUgkDx48cNwpg8GwY8eO2bNnz5gxQ6/X37hxY//+/ZGRkYsWLeJwOFVVVeZzEi3/0KxTdU5Ozi+//LJixYpNmzZZV9jm6pba65uhq8CCgoIee2WBQKDX0/9LEHQeXl5SuIUZaC98Pr+srKzVwoCAgEf6jHG53JCQEKFQaPM0KypDP3jw4GmeL9Iu/UIIcbncoKAgT09Py5tvYBgWFBSUn59/69YtOAmGz+fX1DzRXXfYbJZKpXJcJiYmptWSnJwcZyqHPWAAQHem1Wrz8/MdnORsMpm66I16tFptQUFBq7NWEUIZGRnwTKQuARIwAKCb66L51Rkmk8k60ULq7So6y3XAAAAAwF8KJGAAAACABpCAAQAAABpAAgYAAABoAAkYtCeDwWDvcaQAPBIcx1td3krp6p+x7tqvTsjeUHcesL1Be2ppaTE/PgyAJ4HjuOUzOcy6+mesu/arE7I31J0HJGDQnuRyOYPBYLFYbT5bBgB7cBxnsVgcDoe6xX8rXfcz1l371Qk5HurOA64DBu2svLzc1dXVzc0N5tPA4zEYDC0tLQ6ew9NFP2PdtV+dUJtD3UlAAgbtic3mIIR0Oj31zGYAHhv1WbKn637Gumu/OiHHQ90ZwO8sAAAAgAaQgAEAAAAaQAIGAAAAaAAJGAAAAKABJGAAAACABpCAAQAAABpAAgYAAABoANcBAwAAAI8vJyfn8VaEPWAAAACABpCAAQAAABpAAgYAAABoAAkYAAAAoAEkYAAAAIAGkIABAAAAGkACBgAAAGgACRgAAACgASRgAAAAgAaQgAEAAAAaQAIGAAAAaAAJGAAAAKABJGAAAACABpCAAQAAABpAAgYAAABoAAkYAAAAoAEkYAAAAIAGkIABAAAAGkACBgAAAGgACRgAAACgASRgAAAAgAaQgAEAAAAaQAIGAAAAaAAJGAAAAKABJGAAAACABpCAAQAAABpAAgYAAABoAAkYAAAAoAEkYAAAAIAGkIABAAAAGjxRAjaZTBiGtVcoAAAAQOeBYRhJkh1X/xMlYKPRCAkYAABAt4TjuNFo7MD6n2Rlg8GA45CAAQAAdEMYhjp1AjaZTAwGHEgGAADQrTCZDJPJZDAYOq6JJ82dWq2WwWDgOI7jkIYBAAB0bRiGMRgMBoNhMplaWlo6tC3mE65vMplUKhWHw8FxnMViwiFhAAAAXRdJkkaj0Wg0dui+L+VJEzBFp9O1Sz0AAADAXwTMGwMAAAA0gAQMAAAA0AASMAAAAEADSMAAAAAADSABAwAAADSABAwAAADQABIwAAAAQANIwAAAAAANIAEDAAAANIAEDAAAANCg+yTg5557bvny5QghNpu9bt26wYMH0x3RI8BxfNy4cX5+fnQHAgAA4Clpn3tBPx4/P7+RI0f6+fkxmcympqb9+/er1Woa43Ggo0NlsVhRUVFNTU0VFRUDBw6MiIg4ePCgk+suX768tLT0p59+asd4AAAAdDTaErCrq+vcuXPr6+t/+eUXo9EYHh7OZrM7ZwJ+CqHqdLqtW7dSr/39/V1dXduxcgAAAJ0QbQlYLBaz2exr167duXMHIXTv3j1q+ciRI6OjowUCQV1d3c8//1xdXc1ms9977720tDQ/P7+AgIDy8vLk5GSNRoMQkkqlzz33nJeXV3l5easHN3K53JdfflkmkzU0NJw4caK6uhoh5ObmNn78+KCgIAzD7t+/f/bs2ZaWluHDh48YMWLv3r01NTXDhg2Li4vbuXOnQqFoM1R3d/fJkycHBgYqlcqzZ88+fPgQIcTj8caPHy+TydhsdlpaWmFh4RtvvHH06NGCggKE0JIlSyoqKo4dO0Z1Kj09PSwsrKmpKTk5+b333jt79mx4eHhwcDBCaN26db/88ku/fv2YTObu3bupHq1cufL06dO///6747G1HsMFCxbYrMe6C60CO3LkSHtsbQAAAK3Rdgy4qqqqubl5/PjxMTExOP6/MNhs9o8//vjNN99wOJyJEyeal/fr1+/69es///xzjx49hg4dihBiMBizZ89mMBiHDx/Oy8uLiIiwrH/AgAH5+flHjhxhMpl///vfcRzHcTw+Pl4sFv/000+//PJLSEjICy+8gBD67bffFArFiBEjuFzu0KFD09LSLLOvvVBxHJ8zZw6O4wkJCfn5+TNmzODxeBiGxcfH9+jR48yZM99//z1Jko4HITo6+j//+Y9lkjt+/HhBQUFDQ8POnTtv37598+ZNqVTq5uaGEAoPDzeZTNSPAMesx9BmPTa7YC8wAAAA7Yu2BKzT6RITE2tra1944YUlS5b06NGDWn7u3Lny8vLa2tr8/HypVGoun5OTc/fu3Vu3blVVVVHLZTKZm5vbmTNnSkpKbt68effuXcv6b926lZubW1xcfOXKFZFIJJFIgoODJRLJ6dOnHz58ePfu3d9++y08PJzH4xkMhrNnz0ZERDz33HNqtTo9Pd2ZUGUymVgsPnv2bGNjY1paGovFCg4O7tGjh4+Pz88//3znzp2HDx9aV9XK7du3a2trLZcolUqdTkeSZH19vU6nu337NjXpjRCKiIgoLCxstaNvk/UY2qzHZhfsBQYAAKB90XkSllwuP3DgQEBAwMSJE+fMmZOQkFBbW9u3b9+ePXuKRCJ3d3eDwWAu3NzcTL1oaWlhs9kIIXd3d4RQQ0MDtZyalDZrbGy0XJHD4QiFQoRQfX29ZQFXV1eNRnPv3r2GhobIyMiff/7ZaDQ6E6qHhwdCaPHixeYybm5uLi4uCKGqqionR6DVrra1lpaWgoKCiIiImzdvhoSEHDt2rM06MQyzHkOb9djsgpOBAQAAeEJ0JmBKWVlZcnLy0qVLw8PDPT09J0+e/MMPP5SXlw8YMICaaraH2hd0d3enUq9IJLJ8l8/nUy8kEglCSC6XU9lRKBRS5al8LJfLEUJhYWEikaikpGTgwIE5OTn2po4tQ62rq0MI7d69m6oBIWQwGKhdTIlEUlJSQi3U6/UIIQ6HgxDCMMw8x0tpc44aIZSTkzN9+vSIiAij0VhYWNhm+cjISJtjaF2PSqWy7gKTyXQyMAAAAE+inRMwhmEmk8mZkjKZLCIi4uHDhyRJRkVFIYRqa2s9PT1JkiQIwtPTs3fv3o5rKC4uJghiwoQJly5d8vHxCQwMtNwJHjBgQHV1NUmSw4YNKykpUSqVLS0tcrl8ypQp58+fZ7PZzz77bE5Ojk6nY7PZU6ZMycnJuXr16uLFiwcOHHjt2rU2Qy0uLtZoNOPGjUtJScEwbMCAAceOHXv48KFSqXzuuefOnz9vNBqlUum1a9c0Gs2gQYOampp69uxJZWLHtFqtu7t7QEBARUUFSZL379/XarWjRo2ippFtriIQCEJCQqjX9sbQup6ioiLrLrQZHgAAgHbRPgmYy+UihBgMBoZhrd6yd8xSrVb7+vrGxMRgGNbU1HTy5Mn79+9XVVWFh4fPnDmzsrLywYMHMTExDAaDOu8Jx3EGg2FencFgaLXan376ady4cbNnz75z587du3cDAwPN5e/cuTN8+HCxWFxaWnry5EkGg0GS5OHDh8ePHz99+nSCIPLz81NSUhgMxtixY3k8XlpaWnNzc05OzqhRo+7du2ee8bYXKkLou+++Gz9+/Lx587Ra7Z07dxgMhtFopJp46aWXdDpdamoqhmEnT56cMGHCnDlzMjMzm5qaMAyz7pTlf7Ozs0NCQl555ZUTJ07cvn0bIXT79u1BgwadOHHCcgQsBQcHmw/f7t+/XyaTtRpD6q1W9RgMBusu2Bxta9R0AgAAdDMmk8loNBoMBstjoB0ECwoKepL1cRzn8XgEQWAYDvOWHWTChPE9evTYs2dvJ6kHAAC6KwzDMAzDcdxkIrVarZNzuo/nSc+C5vF4ej1hMsFRww7B5XKio6Ojo6MzMq61Xbrj6wEAgO7NZDKRJEnt/prPJeogTzQFzeVyCYJor1CAtYkTJ/Xo0SM9PT0nJ6cz1AMAAH8RRiNpMiEOh6PT6TqoiSeaguZyuQhhsO8LAACg+8FxHMPsnsnUDvU/ycrUmU3tFQoAAADQeZAkaXmjxnb3RFVbn/MMAAAAdBsdmua6z/OAAQAAgC4EEjAAAABAA0jAAAAAAA0gAQMAAAA0gAQMAAAA0AASMAAAAEADSMAAAAAADSABAwAAADSABAwAAADQABIwAAAAQANIwAAAAAANIAEDAAAANIAEDAAAANAAEjAAAABAA0jAAAAAAA0gAQMAAAA0gAQMAAAA0AASMAAAAEADSMAAAAAADZh0B9AahmHu7u4IIYVCYTKZ6A4HAAAA6BCdKwH7+/tPmTLZnIBPnjxVXl5Od1AAAABA++tECVgkEk2f/vfz5y/k5+cjhHr27Dl9+t///e/9jY2NdIcGAAAAtDOGh4fHY6/MZrONRrK9Qhk7dmxxcUlWVpbJZDKZTLW1tRwOJywsrKCgoL2aAAAAAJzHYDD0en0HVd6JTsLy9fUpKyu1XFJWVurr6/M0Y5g8edKiRYuo10lJiR4e7k+z9ceG4/iWLZ95enrSHUi7sdwQAADQLXWiKWg2m63XE5ZL9HqCzWa3uaJMJps1a2ZISIhOpz9//tyPP/7UYTE+vg4NkiTJVatWU6+nTp2q0WguXrzY5lqbN28KCgoymUwNDQ1paWn/+U8ySbbbfAYAAADHOkUCZrPZUqmEwWBIpRLL5dRCf3+/2to6e5MAfD5/zZoPvv1235Yt/xKLRRMnTnwqIT+apxmkj49PeXmZk4U3bNh4586dwMDAZcuWKRTKs2fPdlxgAAAALNGfgIVC4Zw58QwGg8ViDRs2zHInDMdxFov197//3Wg0Hjx4qKmpyebqDAYjIyODJMmqqurExCRq+ciRI59/fqpIJCosLNyx42uFQoEQSkpK/PrrnbNmzXR3d09JST1w4ABCSCKRLFq0MCwsrLS0tNXx5h49esyaNUsqlebl5e3Zs1etViOERCLRK6/Mi4yMJAgiPT396NHvCIKYPHlS3759N2zYiBB6443/q62ttdzHtRekWCxesGBBRER4VVV1QkJCcXExQkggEMybNy86ujeO4/v27bt9+8727dtefXU+tcqaNR+cPXvu+vXrSUmJ+/YlxsfPTk5OPnfufFJS4ooVK5YsWdKrVy+E0Ny5c+/cuZOennHhwgWEkIuLy86dXy9d+hbVBUskSRYXF587dy46uvfZs2dtjtsLLzw/ceJEDodz+XIKNWitlrz77uqMjGupqakIoY0bN6SkpJ47dw4htGvXrjVr1iCErEeM2hyWXXCwIQAAoPuhPwH37t2rtLT0xImf7V31i2HY889P7d2715UradbvVlZWlpWVrVq1MjExqba21rw8ICBg+/YdtbW1K1YsnzRp0tGjR6nlw4bFrV+/3sNDuG7dh9euZdy//2D16lUZGRlffrnV39/v7bffzs6+aa5k3LhxX3zxZUtLy6JFi+bMid+zZy+O46tXr8rOzk5ISBAIXBcvfnPatBe///6HM2fOjho1qlevXs3NzWFhYd9+u6/NIHEcX7VqZVZW1ldffTVw4IBly5atXLmSJMmVK98pLy9/9933hEJhUFCQw6Hr/fbb/9BoNOYlGzZsXLRoUXl52alTp4cNixs2bBiVgAcMGJCbm2udfc1YLKZOp7M5bqGhoWPGjHn//Q/kcjlV2HrJzZs5UVGRqamp7u7uQqEwKiry3Llzvr6+KlWzXC7fuHGD9Yi16gI1sPY2BAAAdD/0n4TFZnPUao2De26YTCa1WsNmc2y+S5LkJ59sKCkp3bRp44IFr/N4PGr5gQMHioqK1Gr11au/WZ7JdezYcblcUVxcnJubFxQUFBoawmAwk5N/1Gg0BQWFly5dtqz8+PETNTU1SqXy8OHDAwYMQAiFhoay2Zzvv/9BpVJXV1cfPHgoLm4YFUZSUtLLL8+Ij5+dmJhE7eE5DjI0NJTNZicn/6jVatPSfsUw5OvrK5PJRCLxvn2JCoWiuLiY2qe05/z5c5bZt5XMzCyZTCYQ8BFCQ4cOsfnzBSHEZDKfeeaZSZMmUQWsx40kjS6/fAkqAAAgAElEQVQuLkKh0KI7rZfk5ORERkYihGJiYi5cuBgaGophWM+ePXNzc+2NWKsuON4QAADQ/dC/B/zkdDrd0aNHT506NXfu3HXrPly79kODwTBkyODY2Dh/fz+xWHzr1i1z4cbGBuqFStXM4XAlEml1dZX5XbVaZZlXamtrqBdKpYLH42EYJpFIqqurzD8XamtrhML/Xsd1+/Ydk8nE5XItm3MQpEQi8fHxOXLksLmMUCh0dXWtqCh38mSo+voGx8OSnX2zb99+N27cCAoKys7Oti6zZs0HRqOxqqrq8OHDN2/eRAhZj9vDh0WHDx9ZufKdysrKb7/dV11dbb2kurraYDB4e3v36RNz/PiJ8PCwwMDAqKjIy5dTHIyYZRccbwgAAOh+ukMCpiiVyp07d+7atVMmk2EYFh8fn5iYVFZWFhUVNWjQQHtrqdUqsVhs/q9UKrV8VyBwlcsVCCE/P//6+nqTydTY2Ojt7Y1hGJVRpFJpXV09VTg8PJw6kh0WFlZYWNhmkHK5/MGDB2vXfmhZoFevXl5eXpZLtFoti8VisVjUXnWrPVHHY3L16q9jxozFcTwj45rNpL5hw0bLnwsRERE2x+3y5cupqanTpr34j3+8vXr1uzaX5OTk9urVy9/fv6SkJC/vVlRUpEwm27Vrd2hoqL0Rs+yC4w0BAADdD/1T0E8oJCTkxRdfFAqFLBYrOjqaw+E0NDRIpRKlsrmoqAghFBv7rIPV7969JxQKJ06cyOVyY2KiBw78U6qeMWO6h4e7RCKZO3dOSkoqQog6OWjGjOkCAV8qlcbHz6EOsjKZzEWLFu7ff+DIkaMLFryO438aWJtBFhQUCIXCcePGcrlcc8l79+7hOD5z5st8Pj8kJGTYsGEEQdTU1EyZMoXL5Y4bN7bNi301GnVAQAAVQG5uXlBQYFxc7JUrV5wZTMfjVlxcwmSy7C3Jzc0dP37c/fv3EUJ5eXlxcXHV1dUEQdgbsVYcbwgAAOh+6N8D1ut1QqHQvIdkDcMwPp9n8xRohFBNTc2UKZO3bPmMyWSWlJR+/vkXDQ0NmZlZzz777NatX5aXl6enZ0RG9rTXular/fLLrfPnz581a2Z29s0LFy5KJP+7FOrmzZxNmzZhGHb16m8nTpxACBmNxs2bP33ttfnbtm1TqVSXLl0+c+YMQmjatGmlpWX37t1DCE2ePGny5Mm//PKL4yARQlu2/Gv+/FfnzJlDEERmZubevQkEQVD179ixXS6X792bgBBKSPhm0aKFL774woULF+ztW5ulpKSuXr1q9+5dy5Yt12q1WVnXo6IiS0pKHK9FsTluvXv3XrbsLS6XW1FRsWfPHptLEEK3bt1avnzZDz/8ByFUWloqEonS0tIcjNgjbQgAAOh+MMfn2TomEAha3TrjMZgvQzIabU+oUm/ZuwwJOLZw4YKKiopTp07THQgAAHQ9bDZLpVJ1UOX07wE3NTXt2bNXIpFgGGazgMlkqquzeyMO4EBkZM/+/fsfOXKE7kAAAAC0Rn8CRgjp9fqKigq6o+huli1bFhERvmvXLpXK7uW/AAAA6EL/FDQAAADQOXXoFHSXPwsaAAAA6IogAQMAAAA0gAQMAAAA0AASMAAAAEADSMAAAAAADTrFZUgMBs5gMOiOAoCuhCRJg8HRzcD5fB6Px2t1V9QuxGAw6PX65uaOOgEVANrRn4DZbBaDwcBx3N6NOAAArZAkaTKZcBy3dx2gp6fYZDJptVoHD/rs5HAcZ7FYUqmktraO7lgA6BA0/zpmMHAcxxkMBmRfAJxH/dVQrN/l83kmk0mn03Xd7IsQIklSr9cTBGF+yDcA3QztCdj2NwgAoE04jjMYNv6EeTxet7l1q8Fg4PMhAYPuif7jQ7DvC8Djsfe3g+N4l973tUTNtNMdBQAdAj7ZAAAAAA0gAQMAAAA0gAQMAAAA0ID+y5AAAODJYQhJCAIhVMdidZMD4KC7gwQMAOjyIlpa3qiplhgMCKE6JnO3l/c9Fxe6gwKgDZCAAQBdm49ev7qy4t8S6W+urgihZ5ubV1dWrA0IrGKz6Q4NAEfgGDAAoGt7qbHxvLvHFTc3A4YZMOyKm9t5d4+XGhvpjguANkAC7hpkMllMTMzTbAjDsFGjRrk8lXk8y95NmTKFy+U+hUbb9DRHoGvZsWOHm5tbR6/ivDBtSz7vT5spn+cSqm1pc8WkB/ePFBZ4GA2P0aivXn+ksOCLkuJHXXFDaemRwgKZVmv91gCV6khhwdDm5nZs7ukwd8qLIHY/fPD/ysucX9de1x61y+YY5tXVJT2479MV7kXTBRLwiBEjpv5hxIgRDkqGhoYGBQU9tcA6g47rsslkunz5cktLS4e20klYdtD82nIEuretW7dKpVLzf2Uy2caNG2mM51FxSVKL/emrTIvhLiRJVzyPh0OSC2trbrvw0l1d6Y7l8Zks/qXLd56eOgz7v9oaWqNwStc4Bpyenl5fX99mMT6f32zrx2M39nS63O0H1rKD3b6z3QmXJAP1OiZCQXqd5fIgvY6JULi2pZTN0XaRG2mNUirdjMbTQiHdgTyRWhbrDVkIvTHoMOy8u8ffGhsiWlo6+bl4XSMBW5syZcrvv//es2dPLpdbWlp6+/btoUOHenp6IoSioqJOnz7NYrGio6NFIpFarc7JyVEoFNRaubm5UVFRd+/eLS4ublVhVlZWZGQkj8erq6vLycmh7qYbGBgYEhLi4uLS1NR048YNnU6HEAoNDZXJZAwGg2raesngwYMrKyvLysoQQsOHDy8rKysqKkIIjR8//sqVKwihXr16icVik8lUXl5+9+5dkiStw+PxeDExMSKRSKlUNto6oNWqy0wm02a1llxcXKyHxV5DU6ZMuXjxYt++fS1bMRj+N19nPQ42h8t6YzloFCHk5uY2ZMgQakPcvHmTIAiEEJfLte6dTCbz8vJKT09HCPXt21etVhcUFFhWZR2h9QhYDmNjY6NIJDJ3dsKECRcvXtRqtTa74OrqGhMT4+7urlAompqamExmTk6OzUa7rh07dnz77bcvvfSSu7v71atXv/vuO8t3hULhzJkzIyIiCILIysr66aefqI3F5/NnzpwZGRmJ4/ihQ4euX79uXmX27Nk+Pj5fffWV5Qfp8XgRxEdlpUyEuCQ5vaHB8tGMDIS4JLm6stKA0D8DAmtYLOer9SH0s+vqw7UtOEL3uC4HJBJqdZHBEF9fF9nSwjcaMwSux0Qi8yozGuqnNTYWczgfBgRKDMQrtXXh2pZmBuMXofC8uwdCSKbVvl5X66fXX7Y/D99frSIwLO+PJ0/Ya25oc/P8ulothu/zkt7k8RFCS6urwrVad4Ohms0+4Cm5xeP56vWflxRXsdlHxJ6v1daaMJQkkWYKBAihEK32tdpaP0J/zt2jZ4smVKtdFxBYyOX6EPpWYTNMptn19c+qmvlGYw2L9W5Qj1bfJjY7ZW76H0E9bNZgHa153UEq1fzaWhOGfvEQnrL6IWIdoYOBvcHn/62xob9aBQm4owQEBKSnp3M4nGeffbaysjI9PT0mJqa5ufnhw4cYhsXGxlZVVf3+++/e3t79+/e/fPkydXdciURy4cIFm3/8wcHBWVlZBEH06dMnKioqOzsbIeTq6nrjxg21Wj1w4ECZTJafny8UCnv06HHlyhXtH0dxrJfU1taKxeKysjIOh8PlcsVicVFRkUAgIAhCp9MNHz68pqYmJyeHzWb369cvLCzs3r171Irm8DAMGzx4cEVFRVZWlqur68CBA2tqWs+oWHfZXrUUDMMGDRrUalgQQo4bsmzFcrl1r20Ol82NJZfLHTTaakPcvHmTGg3r3hUXFwcFBXl6eur1eg8PDyr/OYjQ5gi06qDNztrswoABA6qqqjIyMiy7YHNYurShQ4du2bLFw8Nj1apV169ff/DgAbUcw7C33norNzd3//79fD7/9ddfnzJlyrFjxxBCS5curays/Oijjzw8PAICAsxVjRkzJiws7LPPPnvy7IsQGqlU3OHxtnv72JvwxBB6q7pqpFLxndjTyTp5JPlhebnwj/D6q1WBOt2qoCASwz4sL/Mm/vvwRy/D/54CGaDTPd/UpMewHd4+TJNpbXm5yGBACLmQ5Gu1tbUs1n2uy/sVFQLSiBCaKJfr7OyRB+p0NSyWHsMQQiyTyWZzAqPx/2qqOSaTKzK+Vlu7rEcwQij2jwmbQJ1ueXXV0mDZf/tiNC6uqeaSJELo9dqaLIGAR5Lv/RHJ1KZG89wAlyStw/bSE5PlTVQBf70emUzI4t7jfJJss1NjFArrGuxFKzAaF9dUc0gSITS3vq7QxUVtUafNCB0MbBmHgxAK0v1pXqQT6hoJeOjQodSLhw8fmncpCgsLtVqtVqutra11d3dvamoylxcKhTiOUztD5eXl4eHhAoGAmlcsKiqy98dfUFCgVqsRQnfu3ImLi6MWmpurqKjw8vJCCJEkyWAwOByO+RvWekltbW1ISAhCSCqVlpSUBAYGIoTEYnFNTY1QKGQwGHfv3kUIEQRx+/btfv36mTOlOTwPDw8Mw6guNDU1lZaWcjgcB0PkuFoHw8JkMh+pITPrXtscLkqrjYUQctCo5YaIjY110DuSJPPy8nr27EkQRF5eXqs9fusIHXww2mTdBRzHqZCamppKSkqoc8dsDkuXdurUKaVSqVQqb9++HRAQYE7AISEhbDb7+PHjJpNJrVb/8MMPCxYsOHbsWI8ePYRC4ZYtW0iSVCqVpaWlVPnevXuPHTv2008/ba/D6hzSJGcwHRxuNCEkZzA55CMckRykUgkNhlIO51NfPxNCH1SU++v1fTRqpgl5E0Qti/W5j285h0Mi5KvXI4Qwk+mN2hqGyfRvqbSCzR6mVIoMhps8/nYfn4Eq1Rs11f1VaqHBICCN5Wz2Rj9/AWn8f2W2T1Dik2T1H9dNDVKpbDbHI8l1/gEkhm0sLZEQBMdk0mHYnNCwEJ02UKd/sbFBbDB46/UEhiGEBCT5T/8APYZtLi1xMxrdjMa+apU5Elej0Xyq1ECVyjpsNQNHCOW7uBz2lNy3Oi9yoKq5zU4JjQbrGuxFyyXJT/z9K9nsf1RW9mxp6aNWX7U4Fm4zQgcDS2CYDsMEnf48gK6RgG0eAzZ/wREE0eqZhi4uLgKBYOrUqeYlXC6X+p518Mdvfkun07H+mLPy9fX18/NzdXV1cXGhYlAoFPn5+YMGDVKpVLm5uWq12nqJWq02mUx8Pl8qlRYWFgqFQjc3N09Pz9LSUhcXFyq7UDQajeVJv+YYeDyeZTG9Xu84Lzqu1sGwsNnsR2rIzLrXNoeL0mpjOe6d5YZgs9mOe0e1wmKxrD8h1hE6+GC0yboLKpXK/C5BEFRINoelkzMYDEzm/74KmEym5dMMzQcI1Gq15WaiflCaH7tk/l0ilUorKyutD3+89NJLp0+flsvlHdSLduFJEAihHB6/kclECN1x4fnr9WKDwcVIIoSyBILSP/91SAwGBkEQGJYpcEUIeREEQqiPRv3tg/tUAaHRICEYCKFsvqCJyWxCzEo2O9TWj7MWHKdaQQh56/U2m6tlsh5yuQghNc4QkEY2SXqQ5JrycoShXB5Pw2CIDQY+aZQzmFThB1wuQkjOZIoMBjZJSgjD/yJhMiv+iMRm2CdE0v4qdc+Wlo/LSm/xeFt8/fQWe8B/qspOpy66e7SqQWgw2Iu2ms0u4LoghG7xeD1bWvik5SGFRx5YhsnEMZnUnf7wf9dIwI9Kp9PJ5fK0tLRHWovFYlFfsq6urhqNBiEkEokiIyPz8vKam5s9PT19fHyokqWlpeXl5aGhoQMHDkxJSbG5pK6uTiKRuLq6KpXKuro6T09PDw+P7OxsoVBo+YBxFxcXqq1WCIKwvACmzWeSa7XaNqu1OSxSqfSRGrLUqtf2hsua495ZbwgHvROJRBiG4TguFAotZ0FsRvh4Hwx7XbD8iWMZnvWHoZNraGjw8/OrrKyk/uvt7V1XV9fmWk1NTVKpFMMw88GdhoYGhFBzc7NEIrEun5iYuGDBgpKSksLCwnYNvz01MJkIod4atYfBA0MoqkWDEKphsTwwI0Kon0p92c29ks0271PXsljFbM5QVfNrtTVf+vgqmQyEUA6fv8vLW/HHXgE1DRvVonEzGj0JItDOvGglmx2s1bJMJgLD5EymzeYQ1vrFeLlcYiD2eHnd5PPXlZf/qcY/yhj/eEXt1Ea1aFyNRglBBPwRic2wEULvBQVFaTTz6mp7aTT9VSrL07PNVTnoVD2T2aqGUK3WXrRSggjU6RRMZn+VmhpYy3cfdWD99XqEUDnbqX0JGnX2HwiPxGAwuLm5YRjW2NjI5XJ79Ohh+bu+Tc888wyXy+XxeFFRUdT5U9SDzakzlfz8/CwLm0wmpVJp+aTSVktqa2t79OhBpYS6ujp/f3+1Wk2SJLU/8cwzz7BYLD6fHxUVVVJSYh1MY2Mjh8MJDg5mMpkSicReMrPscpvV2hwWZxoyt2L9lmWvHQzXI/XOekPY6x2GYTExMbdu3crPz4+JibH54FjLCO19MCw76KCzlpqamrhcrr0uWH88OrPMzMxp06YFBwez2eyQkJApU6b8+uuvba5FzUW/8MILfD7f09Nz+vTpqampCKH79+8zGIxp06bx+fzg4GDz8aPS0tLExMQlS5b4+vp2aHce1a6HD48UFhwpLHihqTHLVaBgMHrodLuKHu4seuin11ex2Tk8fqZA0Mxg+BD6f5UUHy4s+MjiOtd/S6VqBmOQSvVsc3MWX6DF8Ri1evfDB1SdIoPhBo9PIiTTavc8fPBxWam9Y8A3+HyWydRLo0EIOWiuFROGEEL/V1Oz6+FDRlsPgc7m80kMk2m1ex8++Lis1HwM2GbY8+tqDxUWUJPwCKH6P2dEZzplXYPjaDeXlux++ECm0xIY9pvgT9diPerA9lWrqSF1PCC06xp7wOa/YYTQyZMnrWe3KKWlpYMGDRo/fvzFixczMzN79+4dGRlJkmRVVVWr03NsqqmpGT58OIZh5eXl1I/0qqoqPz+/0aNHNzc3V1ZWUufKSiSSfv36sVis5ubmmzdv2lyCEKqrq+vfvz91jFCpVLq4uFC5xGQyUbGNHTtWr9eXlpZan++DEDIYDNevX+/du3fPnj1rampKSkps3hHCussOqiVJ0npYnGnIshXzEXTrXtscLpscN2q9IewNWkRERHNzM5WeZTJZcHCw+QilzQhtjkCrDlq+thc/Qog67zc6OprqQmlpKXXYwuaHoZO7dOmSi4vLokWL3N3d6+rqTpw44czfi9Fo/Oqrr+Lj4zdv3qxSqdLS0i5cuIAQIgjiq6++mj179ubNmxUKxf79+82r5OTk/PLLLytWrNi0aZP1dMWj0uGYF0Fg9q86xRDyMBoe6RRoFc74xD9gTn1dSIvWiKF8F95BicSAYc0Mxsd+/vPq60K1WhKhIouZYQWDsd9T8mZN9Wt1tSuDgjb5+cXX1wfqdAaEPeByW3C8kcnc5e09o6GBZzR+5+k5UqF0NRqtm77o7v58Y+MUeVM2n++guVZOeQgjWloC9PozHh5iwiAlCHslEUJVLPbXXt4zG+qpSKY2NiFk1GFYE5NpHXYFi61gMAQkWc9knhQKC/98SKuazW6zU9Y1NDCZ9qJtZDJTXd1ebGqsY7L2SyRyJpNncRzEZoT2BpZlMk1QyB9yubceZT6PFtiT3GBBIBDo9Y62d5vYbBa7c9yvlbrkptucOAOesr59+yoUCpu/pTqUXq+3/hv08pJ2iWPPTuLz+TU1tdbLzZch2TujmnrrUS9DotHQ5uZl1VU7vH2udvC9OPgkOamp6W+NDXoMWxgSqm9rvqdrmVtfN0ahWBsQWN4eyYXNZlme7dG+usYeMACdFpPJ9PHx8fb2Nl9zBZ6OGhZrRY/gQL0eszP1asKwUja7q9yIAyGU7ura0bfBSnpwn2Mxg3hKKOxm2RchdMBTcsDTxlkInRAkYAAeU2xsrIeHh8lkUigU165dg+mTp0+L4wWd487hXcV9DjdUp2WYTNUs1iV39zMeXfvGW10dTEED0IX9laegAXgKOnQKustMzgAAAADdCSRgAAAAgAaQgAEAAAAa0J+A7V3UCwBwzGTn7F+DwdBV7gHSJhzHjbaumgWgG6D5r5QkTfa+RAAAjpEkafP3q06nZ3WRK1/bhOO4VtvZn2kDwOOhOQEbDAaj0Wg0GiENA+A8k8lEkqTBYDAYbOwdqlQqBoPBYrHavKFmZ4bjOIvF4nA4HXcOKgD0ov86YL2eYDBIBqObzJgB8HSQJGkz+1Jqa+t4PB6fz+u6c9FGo1Gr1TU1deqnJwHwJOhPwAghaieY7igA6FY0Go3NB20BADqJrvrrGAAAAOjSIAEDAAAANIAEDAAAANAAEjAAAABAA0jAAAAAAA0gAQMAAAA0gAQMAAAA0AASMAAAAEADSMAAAAAADSABAwAAADSABAwAAADQABIwAAAAQANIwAAAAAANIAEDAAAANKD5cYR/+9vfbC5ns1kuLi4KhRLe6jxvIYQyM6+VlZXbfAsAAMAjoTkBi8Vim8vZbBaXy2UyWfBW53kLIcRisW0uBwAA8KiwoKCgx15ZIBDo9UQ7RgMAAAB0Hmw2S6VSdVDlcAwYAAAAoAEkYAAAAIAGkIABAAAAGkACBgAAAGgACRgAAACgASRgAAAAgAaQgAEAAAAaQAIGAAAAaAAJGAAAAKABJGAAAACABpCAAQAAABrQ/DAGhBCLxcQwzJmSRqPRZEIkSXZ0SAAAAEBHozkBs1hMkjQZjQZnCjMYDAYDw3HcYHCqPAAAANBp0TwFjWGY0Wh0srDRaCQIA447tbsMAAAAdGZd8hiwk1PWAAAAQKfVJROwyWSiOwQAAADgiXTJBPzYXn/9tdGjRz9JDUlJiR4e7tbLJ0+e9K9/bfHy8nqSyp3EZDI/+uijoKAgJ8tbx2y9BMfxLVs+8/T0bLcoH5e9EW6v8s7UExUVtW3btj59Yp5O0wCAv6ZulYD79IlJSEhwdXWl/iuRSBISEry9van/9u/fnyAMly5davd2fX19fXx8Nm7cNGfOHBx3dkinTp06ZsyYx2hu5syXT548WVJS8hjr2kOS5KpVq+vr663fCgoKeuedf3zzTcK+fd++8847Hh4e7dhuJ+Ti4jJu3Lh33313woQJfD6f7nAAAN1Wt0rAN2/m5ObmvPzyDOq/8+e/evLkyerqauq/v//++/79+zui3crKym+/3dfY2Pj55587f5WUj48Ph8N2pmR4ePh7771r/u/Bg4cyMzMRQuPHj5858+XHCNh50dHRa9euLSgoeP/9D956a9nvv19/5pmIDm2Rdi0tLVu3bm1pafn008/UajXd4QAAui36rwNuX/v3H9iy5bMLFy5KpVKxWPzzz19Qy0eOHPn881NFIlFhYeGOHV8rFAqEkEAgmDdvXnR0bxzH9+3bl5FxzbKqpKTEr7/eOWvWTHd395SU1AMHDlDLQ0PDZs2aKRQKf/316r59++xVbm91ypo1H/Tq1QshNHfu3AULFn799Y59+xLj42cnJyenp2ds377t1Vfnm0uGhIQcPHgIISQSiV55ZV5kZKRAIEAIyeWK7du3tdkRs/nzX/Xz89+8ebPNXiQlJa5YsUIuV5jLs1isN974v3//O+nXX69SS1JSUqkX5kgIgkhPTz969DuCIN59d3VGxrXU1FSE0MaNG1JSUs+dO4cQ2rVr15o1axBC1qtQ7Zr7fu7ceetoLa86s9lTZ7bIBx+8n5mZdeHCBYSQi4vLzp1fL136ls38KhaLFyxYEBERXlVVnZCQUFxc/EgfBgAAcFK32gNGCCkUiiNHjr7yyrw5c+L37NlrvsYpICBg+/YdS5YsRQhNmjSJWrhy5Tt6ve7dd9/buHETh8O1rm3YsLj169d//PEno0aNDA8PoxaOGDHi448/+eij9bGxz/bs2dNe5fZWp2zYsPHy5ZQDBw7MmjWbSgO9e/d+++1/WGYgs507d126dAnH8dWrV1VWVr799ttvv/2PwsLCs2fP3rmT70xHEEITJ0585plnvvjiCyqfWffCWkREBIZh5uxrZhnJ+vUfh4WFTZv2IkLo5s2cqKhIhJC7u7tQKKRe+/r6qlTNcrnc5ioU6763itbMZk+d2SJpaWmDBg2kyg8YMCA3N9dm9sVxfNWqlffvFy5evOTMmdPLli0zH1Nw8sMAAABO6m4JGCGUmpoaEBBQU1Pz8OFD88IDBw4UFRWp1eqrV3/z9fVBCMlkMpFIvG9fokKhKC4upvbbWjl27LhcriguLs7NzTOf9HTs2DG5XF5SUpKbmxcQ4G+zcger23P+/DmNRuOgQGhoKJvN+f77H1QqdXV19cGDh0aPHuVkR/r06TN58qTNmz81N2HdC2uenmLzBL7jSOLihiGEcnJyIiMjEUIxMTEXLlwMDQ3FMKxnz565ubn2VrHZd+toKfZ66swWyczMkslkAgEfITR06JArV9LsDzI7OflHrVablvYrhiFfX98/WnHqwwAAAE7qblPQCKHnn38+Pz8/ODi4Z8+e+fn51MIhQwbHxsb5+/uJxeJbt24hhLy9vSsqyh0fsm1sbKBeqFTN5v2thob/nqmkVqvYbI7Nyh2sbk99fYPjAhKJpLq6ynwJVm1tjVAodLIjM2fOPHHiRFNTk3mJdS+saTQtIpHIuUg8EELV1dUGg8Hb27tPn5jjx0+Eh4cFBgZGRUVevpxibxWbfbeOlmKvp85sEZ1Ol519s2/ffjdu3AgKCsrOzrbZZYlE4uPjc+TIYfMSoVBYXl6OnP4wAACAk7pbAg4I8J88edJ7770fERG+aNHC1avfJQgiIiIiPj4+MTGprKwsKiqKmopUKpXtctWQzcofA0n+d7Zcq9WyWCwWi0UdIqWyLEKosbHR29sbwzAqjUml0rq6eic7smvX7jV+yagAACAASURBVKVLlzx8WHT37l3nQ7p7965QKOzVq5flrwoHkSCEcnJye/Xq5e/vX1JSkpd3KyoqUiaT7dq1OzQ01N4qln13HK2Tm8zeFrl69dcxY8biOJ6Rcc3e7xW5XP7gwYO1az9ssxUAAHhC3WoKGsfxN9988z//SW5sbExPz6itrX3ppWkIIalUolQ2FxUVIYRiY5+lCt+7dw/H8ZkzX+bz+SEhIcOGDXNUtX02K3eGRqMOCAiwvmyJIIiampopU6Zwudxx48aar80tKChACM2YMV0g4Eul0vj4OdQpRc50pKSkePfuPe+88w9//0eYJlUqlcnJycuXLxs+fLi7u7uHh/u4cWOHDh1iLxKEUG5u7vjx4+7fv48QysvLi4uLq66uJgjCwSrOR+vkJrO3RXJz84KCAuPiYq9cuWKv6YKCAqFQOG7cWC63jRkLAAB4Qt0qAU+b9iJJkuZv9qSkpIkTJwYGBmZmZimViq1bv1yxYnlOTi71LkEQmzd/KpPJduzYvnTpEpuXwDrDZuXOSElJjYqK2r17l/V3fULCNyNGDN+9e5eXl1dhYSG10Gg0bt78aXBw8LZt29auXZOdnX3mzBnnO/L777//9NNP77//nlgsdj7I48dP7N+/f+LECdu3b9u4cWNgYGBubp69SBBCt27d8vb2zs6+iRAqLS0ViUQ5OTkOgrfHZrRO9tTeFiFJMivruqurq4NLqAmC2LLlX3FxcXv27P7mm4RFixY6P1YAAPBIMOdvqGRNIBDo9cSTNM9g4Ag9wvMYGAwcwzCDwdnyAFhauHBBRUXFqVOn6Q4EANA1sNkslUrVQZXTvAdsMiHnn27EYOAMBqNzPg9YKBRu2PAJ3VGA/7HeIpGRPfv37+9g/tnSmjUf+Pn5dUxoAACAEO17wAghJpPpZA42GkmTydQ5EzDo5JYtWxYREb53795HOkwAAPiL69A9YPoTMAAAANA5decpaAAAAOCvCRIwAAAAQANIwAAAAAANIAEDAAAANIAEDAAAANCA5ntB4zju5ubm5HPpCYLQanUtLS3me/oDAAAAXRTNCdjNzZXNZjlZmHpEAZvNsnxoPAAAANAV0ZyAOZxHfoLbY6wCAAAAdDZd8hgwk9ndnqIIAADgr6ZLJmCDwUB3CAAAAMAT6ZIJ+DEkJSV6eLi3WtinT8zs2bP5fP4//7muC+1V2+zLo64YFRW1bdu2Pn1i2rGtyZMnLVq06DECo8tjjyQAADy5LpN1nBcUFPT3v/+tZ8+eOI7fvn3n22+/lcvlNkvm5uaNGzdu+/ZtR49+95faq3ZxcRk3bty77767bNlbhYX31Wo13RG1p6lTp2o0mosXL9IdCAAAONLdEnB0dPRbb7114sTx/fsPaDSagQMHPPNMREbGNZuFSZLcsuVfTznCzqClpWXr1q0IoU8//YzuWNqfj49PeXkZ3VEAAEAbulUCZrFYb7zxf//+d9Kvv16llqSkpJrfDQ0NmzVrplAo/PXXq/v27UMIjRw58vnnp4pEosLCwh07vlYoFAihpKTEr7/eOWvWTHd395SU1AMHDrRqJSkpMSHhm5dfnsHj8ZKSkpqbVa+//jqP53L8+PGff/7lkar19/dfuHBBcHBwUVFRQUEBny/Yu3dvq+YEAsG8efOio3vjOL5v3z7qx4R1X0Qi0SuvzIuMjCQIIj09/ejR7wjC7oOqxGLxggULIiLCq6qqExISiouLHXTcui1LEolk0aKFYWFhpaWlBQUF5uXOxGNzoOyNiZMxr1nzQa9evRBCc+fOXbBgoeXOvZMjaR3VBx+8n5mZdeHCBYSQi4vLzp1fL136VjebNgAAPH3d6hhwREQEhmHm7NvKiBEjPv74k48+Wh8b+2zPnj0RQgEBAdu371iyZClCaNKkSeaSw4bFrV+//uOPPxk1amR4eJh1VTEx0e+//8G33+577bXXpkyZvG7dh599tmX69OnUAUUnq8VxfPnyZXl5t958c/GhQ4fj4uJshr1y5Tt6ve7dd9/buHETh8O12Rccx1evXlVZWfn222+vX/9xWFjYtGkv2hslHMdXrVp5/37h4sVLzpw5vWzZMhzHHXTcetwsq1q9etXdu3cXL15y8ODB2NhYy+VtxmM9UPbGxPmYN2zYePlyyoEDB2bNmt0qRzozkjajSktLGzRoIFV+wIABubm5kH0BAE+uWyVgT09xdXW1vXePHTsml8tLSkpyc/MCAvwRQgcOHCgqKlKr1Vev/ubr62NR8rhcriguLs7NzbP5vOSTJ0+p1er09HS9Xn/mzFm5XFFQUFBZWenj4+t8taGhISwWKzk5Wa1WFxQUXL582bohmUwmEon37UtUKBTFxcWpqak2+xIaGspmc77//geVSl1dXX3w4KG4uGH2xiE0NJTNZicn/6jVatPSfsUw5Ovr66Dj1uNmUVUIg8FMTv5Ro9EUFBReunTZoom247EeKHtj8qgxP/ZI2owqMzNLJpMJBHyE0NChQ65cSbPXCgAAOK9bTUFrNC0ikcjeuw0N9dQLtVrFZnMQQkOGDI6NjfP39xOLxbdu3TKXbGxsoF6oVM3mXSVLCsV/z+rSarUNDQ1/tK6h7qnpZLUSibSystJ8W02VSuXhIWzVkLe3d0VFOUmSjvsikUiqq6vMVdXW1giFHvbGQSKR+Pj4HDly2LxEKBSWl5fb67j1uFlUJa2urjL/V61WCYVCqgln4rEeKHtj8qgxW3NyJG1GpdPpsrNv9u3b78aNG0FBQdnZ2fZaAQAA53WrBHz37l2hUNirVy/LtGdPREREfHx8YmJSWVlZVFSUeY7xCTlfrUqlsvy5IJFIrMsolUovL682G21sbPT29sYwjEpdUqm0rq7eXmG5XP7gwYO1az9ss9o2qdUqsVhs/q9UKnU+HpsDZW9MnjxmJ0fS3ua7evXXMWPG4jiekXHNOosDAMBj6FZT0EqlMjk5efnyZcOHD3d3d/fwcB83buzQoUNsFpZKJUplc1FREUIoNvbZ9orB+WoLCgrEYvGECRO4XG50dPSgQYOsy9y7dw/H8ZkzX+bz+SEhIcOG2Z5Yps5+mjFjukDAl0ql8fFzqDOG7BUWCoXjxo3lcu3uLzrp7t17QqFw4sSJXC43JiZ64MCBzsdjc6DsjckjxazRqAMCAswHiSlOjqS9zZebmxcUFBgXF3vlyhUnBgYAANrWrRIwQuj48RP79++fOHHC9u3bNm7cGBgYmJubZ7NkZmaWUqnYuvXLFSuW5+TktlcAzlfb0tLy+edfjBkzZvfuXaNHj05NTdXrda3KEASxefOnMplsx47tS5cuqa+3vV9rNBo3b/40ODh427Zta9euyc7OPnPmjL12CYLYsuVfcXFxe/bs/uabhEWLFj5GNylarfbLL7eOHj16z57do0aNvnDhovPx2Bwoe2PySDGnpKRGRUXt3r3LMls7OZL2Nh9JkllZ111dXUtKSh59nAAAwAbMwXkrbRIIBHq93WtdnCESCVksZ5+GRCEIorGx6Uka7ZwWL15cXFx06tRpugPpRDrVmCxcuKCioqKTBAMAeDrYbJZKpeqgymneA9ZqW+/ztamlRduOAQiFwg0bPmnHCh+jWi6XO2zYsP79+/32W3q7R+LAmjUf+Pn5Pc0WnUfXmFCsN19kZM/+/fvD/DMAoB3RvAeMYZi7u5uTTxgkCENLi6Z9EzC91q37UCaTmUym0tLSQ4cOW97I4i+rE47JsmXLIiLC9+7d246HKgAAXUKH7gHTnIABAACATqs7T0EDAAAAf02QgAEAAAAaQAIGAAAAaAAJGAAAAKABJGAAAACABjTfCxrHcTc3N+oZBm0iCEKr1bW0tJhv1g8AAAB0UTQnYDc3Vzbb2TthsVgsFovFZrPkckWHRgUAAAB0NJoTsJO34HjCVQAAAIDOpkseA2Yyu9VTFAEAAPwFdckEbDAY6A4BAAAAeCJdMgF3nKSkRA8Pd+eXd3s4jm/Z8pmnpyfdgXSgyZMnLVq06LFXpz4b9gbK+cr/CkMNALDU3eZyN2/eZL67dUlJyXvvvU9LGK+++sqQIUMWL15CkmR71Tl16lSNRnPx4sVWy2Uy2axZM0NCQnQ6/fnz53788af2ahEhRJLkqlWrHQdg09/+9reWFs1f5+F9lgP1SMyj+ng1TJ8+XaVqPn3a7uOfAQCdVjfcA96wYeOsWbNnzZpNV/ZlsViDBw+prKzs379/O1br4+Njfb0Wn89fs+aDy5dT3njjzfXrP3J378DddJsB2OTt7d23bx/ICs5wflRtSk5OHjVqlEgkaseQAABPR3fbA7YpKSnx6693zpo1093dPSUl9cCBAwihkSNHPv/8VJFIVFhYuGPH1wrFfy9t6tGjx6xZs6RSaV5e3p49e9VqtWVVYrF4wYIFERHhVVXVCQkJxcXF1s0NGDCgpKQ4K+v6qFEjs7KyqIX+/v4LFy4IDg4uKioqKCjg8wV79+61V6F1wGvWfNCrVy+E0Ny5cxcsWGiOSigUMhiMjIwMkiSrqqoTE5McxCkQCObNmxcd3RvH8X379t2+fWf79m2vvjqfWmXNmg/Onj13/fr1pKTEffsS4+NnJycnnzt3PikpccWKFUuWLDEHcOfOnfT0jAsXLiCEXFxcdu78eunStywHatKkiadOnaYu127VaEbGNZFI9Mor8yIjIwmCSE9PP3r0O4IgqF4nJHzz8sszeDxeUlJSc7Pq9ddf5/Fcjh8//vPPvzhTwOY2tbn1JRLJokULw8LCSktLbT7xcM2aD377Lf3y5csIIZFI9Omnny5evDg2NtbmZ8b8MVuxYoVcrrBXuXV4rTbr11/voGpwMESt+kKS5Pnz58ePH3/06FF7n38AQOfUDfeAbRo2LG79+vUff/zJqFEjw8PDEEIBAQHbt+9YsmQpQmjSpEnmkuPGjfviiy+XL1+B44w5c+ItK8FxfNWqlffvFy5evOTMmdPLli3DcRsDOHr0qGvXMrOysnr37k3tmuA4vnz5sry8W2++ufjQocNxcXFtVtgq4A0bNl6+nHLgwIFZs2ZbprrKysqysrJVq1ZKpdI241y58h29Xvfuu+9t3LiJw+E6GK7evXu//fY/zp07b15iGUBKSsqgQQOp5QMGDMjNzW31M6V37+icnBzqdatGcRxfvXpVZWXl22+/vX79x2FhYdOmvWheMSYm+v33P/j2232vvfbalCmT16378LPPtkyfPt18AN5xAXvbtNVgUjHcvXt38eIlBw8ejI2NtR6Bq1evDho0iHo9ZMiQzMxrBEHYq9+Sg8qtV7e5WR0PkfUnOTv7Zp8+MfY2JQCg0+qGCXjNmg+OHDl85Mhhy/R57NhxuVxRXFycm5tHHSQ+cOBAUVGRWq2+evU3X18fc8njx0/U1NQolcrDhw8PGDDAsubQ0FA2m52c/KNWq01L+xXDkK+vb6vWJRJJZGTk77//rlQq790rGD58OEIoNDSExWIlJyer1eqCggJqv8pxhdYB20SS5CefbCgpKd20aeOCBa/zeDx71cpkMpFIvG9fokKhKC4uTk1NdTCG58+f02g09t7NzMySyWQCAR8hNHTokCtX0izfZbFYLBaTSifWjYaGhrLZnO+//0GlUldXVx88eCgubph53ZMnT6nV6vT0dL1ef+bMWblcUVBQUFlZ6ePj60wBe9u01WCGhoYwGMzk5B81Gk1BQeGlS5dt9vGZZyL4/D/10V79lhxU7szq6L+bz+4QWX8w6uvrYQoagK6oG05Bb9iw8datW60WNjY2UC9UqmZq52/IkMGxsXH+/n5isdiyfG1tDfVCqVTweDwMw8x3vpRIJD4+PkeOHDYXFgqF5eXllg2NGDHi3r17SqUSIZSZeW3KlCnHjx+XSKSVlZXmelQqlYeH0HGF1gHbo9Ppjh49eurUqblz565b9+HatR/arNbV1bWiotzJk8Lq6xsct5idfbNv3343btwICgrKzs62fJfH45mTt7e3d6tGJRJJdXWVeShqa2uEQg/zuwqFnHqh1WobGv4bg0ajMR8ldVzA3jZtNZgSibS6usr8rlqtEgqFrfqo0Wjy8vL69eubn39XIBDcu3fPQf2WHFTuzOptDpHND4ZOp+NwODqdzl6dAIBOqBsmYGdERETEx8cnJiaVlZVFRUWZJ1QRQgKBK3WrSz8///r6esv7Tsvl8gcPHqxd+6G9anEcHzFiuKenp2Xyi4yMVKlUlvsoEonEyQqdp1Qqd+7cuWvXTplMZrPaXr16eXl5WS7RarXU3T2p44uWSYgkjY6bu3r11zFjxuI4npFxrVVSb2lpcXFxMUfVqtHGxkZvb2/zzxqpVFpXV//IvbXFwTZtRa1WicVi838tZ+8t/fbbb7Gxse7uHlevXnW+fnuVOx/eYwwRl8uF7AtAl9MNp6CdIZVKlMrmoqIihFBs7LOWb82YMd3Dw10ikcydOycl5U/ztAUFBUKhcNy4sVyu7V3S3r17CQSC119fQJ2GPWvW7GvXMkePHlVQUCAWiydMmMDlcqOjo80HF9us0JJGow4ICGh11DkkJOTFF18UCoUsFis6OprD4TQ0NNis9t69eziOz5z5Mp/PDwkJGTZsGEEQNTU1U6ZM4XK548aNbfMKVMsAcnPzgoIC4+Jir1y50qqYXq9HCFFNWzdKnZQ0Y8Z0gYAvlUrj4+dQJ3M9OQfbtJW7d+8JhcKJEydyudyYmOiBA23nwt9/vxEaGtqvX19q/tnJ+u1Vbm916836qEMkEonkcrmDAgCAzqkbJmDzMeAjRw7bPEkKIZSZmaVUKrZu/XLFiuU5ObmWb928mbNp06aPP15/717BiRMnLN8iCGLLln/FxcXt2bP7m28SFi1a2KrakSNHXbp0yfLo6U8//TRw4EAcxz///IsxY8bs3r1r9OjRqamper3OmQotpaSkRkVF7d69yzKt1tTUBAYGbNnyWULC3pdeeunzz79oaGiwWS1BEJs3fyqTyXbs2L506ZL6+nqEUELCNyNGDN+9e5eXl1dhYaHjgbUMgCTJrKzrrq6uJSUl1iXz8vJiYqJtNmo0Gjdv/jQ4OHjbtm1r167J/v/t3Xl0FHW+9/HqqnR3yN7ZIBAEQkMgJAEliAz75olhdITzwKDIokLmXC7CiIDigoN3Lg8IcwDNKBC2YVHRkXWuMCOKEMKWIEsIgZCQkMQQAmRPuun1+aPn9M2THbNUd/J+Hf9oqr9V9a3mHD7+frVdunTsWMvcrdTA32kNer1+/foN48aN27x509ix444fr/vOZqPRmJKSolAoCgsLm779+jZe3+q1/1of9ycaNGiQ/ZI3AE5E0cAFPo3y8PAwGIzN2b2vr0apbOrbkGyMRmNRUXFzdiq7+fPnZ2dnOftDKubNm/vLL7/UeRTBwcHz5s378MMP276rjkYUxVWr/vsvf/lLS83kA6hOpVJWVFS00sZlHgHr9Y994kqn07dGJ23D1dV15MiRgwc/debMWbl7aZawsP6DBw+uPf9sk5eXd+3atWeffbaNu+qAXnzxd6dOJZC+gDOSeQSsUCi8vb2a+IZBo9Gk01U5aQCvWPFBSEiI1WrNycnZu/eLOh/+4CwWLlwYGtp3y5YtDc/0AoCza9URsMwBDACAw2rPU9AAAHRMBDAAADIggAEAkAEBDACADAhgAABkIP+zoJVKF4VC0ZRKs9lstQpNfJ0AAACOTOYAVipdLBar2WxqSrEkSZKkEEXRZGpSPQAADkvmKWiFQmE2N/LiHTuz2Ww0mkSxScNlAAAcmVOeA27ilDUAAA7LKQO4+jt6AQBwRk4ZwK1n584dPj7ebb+uI4iJeS42NlbuLgCgo2ifATxnzuxNmz6v/jLg1av/b3h4uIwtAQBQXTsMYKVSOXToM/n5+YMHD5a7FwAA6ib/fcAtLioq6s6d7KSk5LFjxyQlJTVQ6eHhMWvWrMjICFEUt2/ffu7ceUEQtNo+L700XaPRnD6duH37dkEQ/Pz85s6dGxra9+7dgvj4+Ozs7PrWtXn11TndugWvXr26+u1Stet9fX1nz54VFhZmNBrPnj371Vf7jEajIAg7d+6Ij9/6+99Pc3Nz27lzZ3l5xeuvv+7m1unQoUNHjvyjKQVjxox54YXnfX19b926FRf319LSUttaf/3rZy+9NN3b2/unn07u3r1bEISAgIDY2Hl9+vTJycmp/obE3/3uhejoaLVafeLET7ZKAEDLaocBPG7c2DNnzl68eHHOnNm+vr5FRUX1VS5Z8lZeXt7bb7+j0Wjsr2UcPXr0f/3Xn729vVes+ODs2bM3b95cunRJUlLSxo0bhwyJWrhw4ZIlSywWS53rCoIQHR3dr1+/lSs/qnGzco16URSXLVt66dKl+Ph4Dw/P+fP/Y/LkF7/++htb8cCBkcuXvxsZGTlv3tyMjIwVKz4IDOz8/vvvJSQklJSUNlrQvXv3Tz+NKyws/OMfFz333HNfffWVbbMjR4746KOPfHw0K1Z8cP78uYyMzGXLlp47d279+g3Bwd3efPPNS5cuC4Kg1WrHjx+/fPm7JSUlLfo3AwD4X+1tCjogICAsLOzixYtlZWU3b6aPGjWqvsqQkBBfX7/t23eUlpZmZ2efPHnStvzgwYMlJSV37ty5ejWle/dgrVarUqm+/Xa/Xq9PSDitUAhdu3atb91BgwbFxDy3evWaqqqqhvel1WpVKvXXX39TUVFZUFCwZ8/eESNG2uv/53++q6ysPHv2rMFgOHbsnyUlpenp6fn5+UFBXZtSsHv37qysrMrKysTEM127Btk3e/DgoZKS0uzs7KtXU3r06KHV9pYkl2+/3V9VVZWefuvHH0/YyiwWc6dOnTQaTQv8fQAA6tHeRsCjR4++efNmWVmZIAgXLpyfNGnSoUOH6rxtqUuXLr/8klf7wZYPHz6wfaisrFCp1AEBAUFBQV9++YW9QKPReHp61rnu9OnTDx8+XFxc3Oi+AgICCgru2hsrLLyn0fjYvy0t/ffQU6/XP3z40Pa5qqpKrVY1peCZZ4YOHz4iOLibn5/ftWvX7JstKvp3ZUVFuVrtGhAQWFBw1/5tZWWFLXRv38764osvlyx5Kz8/f9u27QUFBbV/PQBAM7WrABZFcfToUf7+/tXzMiwsLDU1tXZxWVlZ586dG91mSUlJZmbm++9/UH1heHh4net+/vmmBQv+8/btrBs3bjS8r6Kioi5duigUClsGBwYG3r//oNFmmiI0NHTGjBk7duzMzc0dMGDA008Pqa+ysrLCz8/P/sfAwED75xMnTpw8eXLy5BcXL35z2bK3W6QxAEB17WoKOiIi3MPD4/XX57700su2/86fvzBu3Ng6i2/evCmK4vTpv3d3d+/du/fIkSPrLEtPT9doNBMnTnB1dW103Tt3sjdt2vzWW4uDg4Mb3pftiqdp06Z6eLgHBgbOmPHK8ePHW+RHCAwMKCsrz8rKEgRh+PDfNFB548ZNjUYTHR3t6uo6cGDkkCE1ozo7+46Li7JFugIA1NCuAnjMmLE//vhj9fOvBw4cGDJkiLu7e+1io9G4evWakJCQuLhPFyz4zwcP6h6AGo3GtWvXjRgxYvPmTVu3xsfGzmt43YsXLx44cGD58neqDy5r15vN5tWr1/Tq1euTTz55//33Ll26dOzYsRb5ES5cSCorK92wYf0f/7joypWrDVTq9fr16zeMGzdu8+ZNY8eOO378B9vyiIiI+Pgtf/vbzqlT/8/mzZtbpCsAQA2K6lfwPi4PDw+Dwdic3UuSKAiP8T4GSRIVCoXJ1NR6AAB+NZVKWVFR0Uobl3kEbLUKTX+7kSSJkiTxPmAAQDsg80VYFotFFEWVqkknGs1mi8lktlh4EwMAwOnJfxV0jQdWAADQEbSri7AAAHAWBDAAADIggAEAkAEBDACADAhgAABkQAADACADAhgAABkQwAAAyIAABgBABgQwAAAyIIABAJABAQwAgAwIYAAAZEAAAwAgAwIYAAAZNCuArVarQqFoqVYAAHAcCoXCYrG03vabFcBms5kABgC0S6Ioms3mVtx+c1Y2mUyiSAADANohhUJw6AC2Wq2SxIlkAEC74uIiWa1Wk8nUertobnbq9XpJkkRRFEViGADg3BQKhSRJkiRZrVadTteq+3Jp5vpWq7WiokKtVouiqFS6cEoYAOC8LBaL2Ww2m82tOva1aW4A2zx69KhFtgMAQAfBvDEAADIggAEAkAEBDACADAhgAABkQAADACADAhgAABkQwAAAyIAABgBABgQwAAAyIIABAJABAQwAgAxa5lnQv86iRYu8vb0FQaisrMzOzv7+++/Lyspk6WTIkCGhoaF79uyRZe8AgA5IzgAWBCEzMzMxMdHX13fChAk+Pj7btm2TpY3g4GBPT09Zdg0A6JgkHx8fufb9zDPP3L9//9y5c3fv3nVxcYmIiEhOTjYajWPGjHnhhRfGjx/fr1+//Pz8iooKlUr13nvvqVSq6OhorVZ77dq1+mpcXFxGjRo1adKkrl275ufnT506ddKkST179kxPT7e9W8rb23vKlCmTJk2KjIwsKioqLi6eOXNmaGiou7v76NGjy8vL7969W7umdgNy/WgAgPbBUc4Bm81mQRCsVqsgCCqVav/+/Vu3blWr1dHR0faayMjIv//9719++WUDNQMHDjx9+nRiYmJoaOhrr7125cqVo0ePhoSEDB48WBAEURRfeeUVURTj4+PT0tKmTZvm5uZ26NCh9PT0hw8ffvbZZ6mpqXXW1G4AAIDmkD+AFQpFUFBQVFRUfn5+VVWVIAj/+te/8vLyCgsL09LSAgMD7ZWpqamFhYW2z/XVpKSkZGZmJiQkWCyWvLy8q1evXr58uaSkJCAgQBCEkJAQPz+/f/7zn0VFRQkJCUqlslevXmVlZY8ePbJYLA8ePHj06FGdNbUbAACgOWQ+BxwZGRkZGSkIQkFBwYEDBwRBUCgUX9aLMQAADeBJREFUTz75ZP/+/X19fb29vW3zxjalpaW2Dw3U2C7jslgser2+pKTEtlCn0ymVSkEQbPPt8+fPt9d7eXnVaKmBGnsDAAA0k8wBnJGRkZCQUF5eXlpaapt/DgsLi4mJ+eabb/Ly8qKiooYNG2Yvtlgstg8N1DSsoqJCEIRNmzbZs7l6eDdQ4+LiUr0BAACaqYWnoBUKxWPVV1VV5ebmlpSU2NJXEAQfHx+LxWI0Gv39/SMiIupcqyk1dcrKyqqqqpo4cWJAQEBgYGBMTIwtU/V6vbe3d/fu3UVRrK8GAIAW1DIjYFdXV0EQJEmqHcA6na6BFRUKhSRJ1ZekpKT07dt3+vTp+fn5mZmZAwcOlCRJFEVBEERRtBU3pUahUFT/bNuRyWTat2/fs88+O2vWLL1ef/36dVvBpUuXevfuPXv27MOHD6emptauqbHx+nTq1OmxfzsAgMOwWq1ms9lkMtWeH21xih49ejRnfVEU3dzcjEajQiEyUgQAODXbgE0URavVotfr7bOzraG5U9Bubm4Gg9Fq5fwoAMDpWa1Wi8ViG/66u7u36r6aFcCurq5Go7GlWgEAwEGYzRaTyaxWq1tvF80dASsU8t9JDABAa7BdANRaG2/OypIkMfMMAGiXLBaL4wbw4950BACAE2nVmGMCGQAAGRDAAADIgAAGAEAGBDAAADIggAEAkAEBDACADAhgAABkQAADACADAhgAABkQwAAAyIAABgBABgQwAAAyIIABAJABAQwAgAwIYAAAZEAAAwAgAwIYAAAZEMAAAMiAAAYAQAYEMAAAMiCAAQCQAQEMAIAMCGAAAGRAAAMAIAMCGAAAGRDAAADIgAAGAEAGBDAAADIggAEAkIETBPCwYcO2bo2fMePlX72F2NjYTz75xPY5PDz8888/69y5c52Vrq6uX375RUzMcw1srYGamTNnvvfeuwqF4le3CgDoIFzkbuDfVq78U9++fasvMRqNs2bN9vPzmzz5xWXL3l648I2IiIiUlJTH2uyyZUuffPJJ2+cVKz6Ii/vr3Lmvr1nz8b1791qs9Wr27t27ZMlbzz0X/d13R1tj+wCAdkPRo0ePX72yh4eHwWBskT60Wq2Hh7tG4xsbO+/QocM3bqSZzZbHjdvalEqlJEmvvjonLCzsrbeWGAyGhutdXV137Ni+e/fuBhK0KTUAgHZApVJWVFS00sYdZQSckZEhCELXrl0FQbhz587ly1dsywMC/F977bXQ0NCHDx/u2rU7JSXFln/ffvttjx49IyLCCwoKtmzZcvt2Vo0NBgcHz5s394knnrhx46bB8MhqFQwGgz07f/zxxI4d2w8ePBgSEtKvX79bt25t3PhJeXm5bV1PT8933nmnf/9+mZmZGzd+UlpaWl/b06dPf/753/75z/+dlpZWX6uHDx/RarV9+mivXk3ZtWtXbOw8rVZ769atjRs3VlRUtsqvCQBweA59DliSpOXLlwuC4t1337twIWnx4jc9PDxsX02YMCEpKWnt2nVqtXrRokWi+P8diFKpfOedt1Uq1dq1a5OTk6Oiourc/tixY3/44cctW+L79+8/aVKMffmECRN++unEtm3b+/XrFxMTU+e6giBERka+8MLzu3fvSUtLa6DVUaNGHTly+NChw4MHP/XRRytPnjy5c+ffwsPDx48f39wfCADgtBw6gMPDw4OCgvbs2VNQUHDw4EGVShUREWH7KjHxzKlTp1JTU7/55u+BgYHdunWrsaKfn9+OHTuvX0/74YcfkpKS69z+qVOnLly4kJiYmJWVVX0qPjEx8dy586dOncrNzQ0O7lbnuj4+mvnz/+P06cRjx4411urpy5evHDhwwGw237qVkZBw+qeffrp//363bsHN/4kAAE7KUaag69S5c6AgCOvWrbUv8fPzs32wX0VVUlIsCIJ9uGkTEOAvCEJ+fr7tj/XNIZeUlNg+VFRUqtVq+/LCwkLbh7KyMpVKVee6Y8aM9vDwOHDgQKOtFhUVCYJgsVh0Ot2DB/dtC8vLK9TqurcMAOgIHDqAi4tLBEFYtmzZ/fsPbEuMRqNSqRQEwcvLy7bENva1B5tNeXmFIAj+/v62k+f13XTUHN99d3TkyBFvvLHgT39aaTAYGmi1Oqu1xRsBADglh56CvnbtWllZ2YwZr3Tt2vWJJ5549dU5ZrPZ9tXEiRMGDx48aNDAF1988fr1NHvs2aSmpur1+jlzZoeGhsbExISHD2jx3gyGRxs2bOzWrVts7LyGWwUAoDaHDmCdTrdmzcedOrmuWPHBokULq18zfObMmSlTJi9atCg3NzcuLq7GimVlZRs2bPDw8Hj33eVarfbcuXOt0V5ubu7OnX8bPnz4b3/72wZaBQCgNke5D7jpuA0XANA2WvU+YIceAdutWbN62LBn5O4CAIAW4xwBbLVazWaL3F0AANBinG8KGgCAtsEUNAAA7Q0BDACADAhgAABkQAADACADAhgAABk49LOg0QBJEiVJkrsLAHBEFovFZHL05wETwE5JpVJKkiSKokKhkLsXAHAsFovFarWKoujgN8oSwM5HkkRRZPgLAHUTxX+fXZUkiyO/F4dzwM5HkiTSFwAalpOTI0kOnXGMgJ0SM88AOjK1Wt1wwb1799qmk+YggAEAzufRo0dyt9BcDj08BwCgvSKAAQCQAQEMAIAMnCCAlUrlxx9/HBQU1O53CgDoOJr1PmAAAPDrOMEIGACA9ocABgBABgQwAAAyIIABAJABAQwAgAx4FCUAtENeXl6enp729wI5DpPJpNfri4uLG6hx2OYb1ZSjs+M2JABob2zPMDAYDFarVe5eahJF0cXFxcXFJS8vr84CR26+UY0eXXWSj49PG/QEAGgbXl5eKpXKYd9VYLVabe/oFUXRYDDU+NbBm29Uw0dXg/MN8AEADfD09Gz0n37ZmUwmLy+v2sudovlG1Xd0NRDAANCuiKLo+JO3Vqu1zlO8TtF8o+o7uhoIYAAAZEAAAwAgAwIYAAAZEMAAAMiAAAYAQAYEMAAAMiCAAQCQAQEMAEAj4uLimvJsjcfCyxgAoEPr2bPnlClTevXqZTAYTpw48Y9//EPujh5P9+7dn3/++b59+0qSdOPGjT179pSWlsrdVJMQwADQcbm5uS1evHjPnj2ffvqpr6/v+PHj5e7o8QwYMGDevHlHjx79+uuvdTrdoEGD+vTpk5ycLHdfTUIAA0DH5ePjI4picnKyxWK5d+/eF198YVs+fPjw6OhoX1/fzMzMrVu3lpWVLV68OCkpKSEhQRAEjUbz4YcfLlmyxNPTc9asWVqt9t69e7t27crJyWnL5pVK5Zw5c7766qtz587ZliQmJtbXvyAIcXFx27ZtmzJlire3d2Ji4r59+wRBcHd3nz59elhYmCiKe/fuTU5O1mg0bXNQnAMGgI7r7t27+fn5CxYs8Pf3r748ODg4Pj5+6dKlgiBMmDBBEITz588/9dRTtm+joqIuXrxosVjeeOON27dvL1269Pjx47GxsQqFoi2b12q1CoXCnr4N928zbNiwtWvXrlu3bsSIEb179xYEYcGCBQaDYeXKlevXr1er1aIottlBEcAA0HFZrdZ169bl5eWtWLFi5syZnTp1si3ft29fTk5OVVXV+fPnu3TpIgjCzz//rNVq3dzcBEEYMmTI2bNnQ0JClErlkSNH9Hq9LQVtr/JtM76+voWFhXV+Vbt/m++++66srCwnJyc1NbV79+49e/bUaDR79+61LUxMTGzLg2IKGgA6NIPBsH///u+//37atGlLly5dtWqVyWSKiooaOnRoUFCQr69vWlqaIAg6nS4tLS0yMjI9Pd3d3T0jI2Po0KFdunSJj4+3b8rHxyc/P7/NOtfpdBqNps6vavdvU1RUZPtQWVmpVqsDAwPz8/MtFou9wM/Pr80OigAGAAjl5eXbt29ft25djx49FArF1KlT9+7dm5+fHxoaap95vnDhwtNPP+3t7X3+/HlBEEpLS7OyslatWiVXz7du3fL29u7fv3/1iBUEQavV1tl/beXl5QEBAdWXtOVBMQUNAB1Xr169YmJifHx8lErlgAEDVCpVUVGRv79/eXm57eKjoUOH2osvX74cEhISGRl55swZQRAyMjJ8fHzGjBnj6uoqS/Pl5eVHjhz5wx/+8Jvf/MbLy8vLy2vMmDFRUVH19V9bRkaGJEmTJ092d3fv1avXsGHD2vKgGAEDQMdVWFg4ceLElStXSpKUl5f32WefFRcXX7p06emnn161atUvv/ySnJzct29fW7HJZLp+/bq/v/+DBw9sf4yLi3v55ZenTZtmMBh+/vnnXbt2tXH/R48eLS4unjhx4syZMysqKq5cubJ//36z2Vxn/7UZjcaNGze+/PLLq1evLi0t3bVrV1selKJHjx6ttGkAQNvr3r17ZWWl3F00zt3dPTc3t8ZCZ2m+UXUeXQ1MQQMAIAMCGAAAGRDAAADIgAAGAEAGXAUNAEBz2R/xUecf68QIGAAAGRDAANCumEwmUXT0f9tFUTSZTLWXO0XzLaWjHCcAdBA6nU6pVMrdRSNEUdTpdLWXO0XzLYUABoB2paSkRJIkpVLZxi8HbCJRFJVKpVqtLikpqf2tgzffsngSFgC0Q56enl5eXg44nWsymXQ6XZ3pa+ewzTeg0ede1UYAAwAgA2f6/wsAANoNAhgAABkQwAAAyIAABgBABgQwAAAyIIABAJABAQwAgAwIYAAAZEAAAwAgAwIYAAAZ/D93usz8UJLcEAAAAABJRU5ErkJggg==" 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" 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Dg7+/PYrG6devm6ekpLldvkIret3LJ/qUkaWlp8fn8oqIiyb1QEi3AJwfngNXM2Ni4oOD/HtPBYrHS0tIqKipcXV0/tJ3c3Nz27dtraUk/8LJ169bUgomJSXV1NSHk8uXL58+fz87O5nK51LlGfX39/v37X7t2zdHR8fnz5/369ZNt39zcXLIdLpebk5Mj+UWBx+O1b99etqbysMXhcblca2trBoNBrVpaWkp+ksr23q5dO3FlU1NTycqStmzZ4uvr26JFC7UPiFQ7Sgak3n0Xt0DXCMiighGvmpiY8Hg80gh/JkXvW7lk/1KSOnfuPGPGjEWLFrVt2zYkJKRt27bKowX45CABq1mPHj2Ki4tv377dp08fRXUMDAxqa2tra2t1dXUJIXI/RMzMzHJzc+vt7uHDhzExMcHBwe3bt7979654otXFxeXEiRNCoXDw4MGqfBqy2WxbW9tt27bVW1M5cV8tW7Z88+aNSCSiPi5zc3MVXZdL/vdbCyEkPz9fUc0lS5ZERER07ty5R48ecitozoDQNQJymZiYSN6YlJeX10hByr5vFb3bFf2lJHl6erq5ue3du3fp0qV79uz5oGgBNB+moNXM1NR0xowZv/zyy9mzZ4uLi6urqx8+lH5wtK6urpWV1aFDh6qqqhISErhcrmw73bt3r6ur27p1a1lZWWZmZlJSktzu8vPzmzVrRt0NmZKSIi53cHB4/vz5+fPn5U63yurWrRuPx0tISJB70k4JFov14sULqfOjhBB7e3tCyPbt28vLy/Py8jZv3uzl5aWk98LCwqNHj1ZVVd26dUvuZzGFw+GEhYWFhYUpmmttygFRtO8UukZAru7du/N4vPj4eD6ff/PmzdTU1EYKUvZ9q+jdrugvJYXBYHA4nJqamg+NFkDzIQGr36hRo0JDQ0+ePDlq1Chvb++9e/eGhoZK1QkNDT137pynp2dubq6dnZ1sIzo6OpGRkU+ePPHx8YmIiBBPM0pxcnJis9ljxoxZtmzZN998Iy5nMpkDBw4sKSnp2LGjKjHr6uquXr06OTnZw8PDzc1tzZo1Ku6su7v73bt3PT09+Xy+ZLm2tnZkZOTTp099fHyCgoL69es3evRoRY0YGRmtWrXq1KlTnp6ep0+fHjFihL6+vqLKAwYM8PPzCw4OljwaE2vKAVG07xS6RkAuAwODlStXnj592tPTMzExceTIkY0UpNz3rdx3u6K/lFh6erq7u/vQoUN37NgRFhb2odECaD6GSCSiOwaaOf2envrPhz1NaQCHnRamKXd2KrJ27dp27dqNGTOG7kA+WEREBIfDUXvkn9CANNIIqNcnESRAExBPKYnJ3lYqF46AyU/9WmszGarXZzDIVCfLxounAXg8HvV0ArF79+6lpaUpvwZVA/H5/KSkpGvXrkneOaoWDR6QoKCg7Oxs9QajROONgBp9EkECaD4cAZOK6rqftz5U8RcGHTlmU5ysJgxo09hRfYzly5c/fvx44cKFcmf2NFNgYOCTJ0+YTGaHDh1mzpzZrVs3NTb+SQxIo46AunwSQQI0sQYfASMBAwAANBymoAEAAD4lSMAAAAA0QAIGAACgARIwAAAADZCAAQAAaIBnQZP8kuqpuzPP3C+svyohAzuzf+rX2vfbNix9lR43DwAAIBeOgMnUXZlXs1R9ElbqP8Vz9mX9vFX68c4AAAAfBAmYnHlQWFFTp3r990KRik/tAADNIRQKJ02aNGfOnLy8POrh0gD0QgJuoNsvy+gOAQA+QE5OjoODw6hRo2bOnEn9sBIAvXAOuIH6tDehOwRoagKBYPLkyStWrJD8cXv4VNjY2AQEBBBCvvvuO7pjASAER8BNSSgU+vr6in8X/c6dOz4+Pjdv3mxYa87OzsXFck5dV1ZWBgQEREVFNTxQFXqhREZGnjp16iMbVN7Fx7RMUX2cFbVQU1Pj7+8fERERFxfn7e39kdlXlRGQeqso0YA/gab5oDfAzZs3//zzz4qKilmzZgkEgg9tv7KycuzYsZL/HaoPNYDaIQGr38SJE2/fvi1era2tdXR0rK2tZTKZ+/bta9WqFSGksrLyxIkTe/bsOXr0aFmZqrPZBw8ePHnypPI6W7ZsWbhwoZGRUYNTu4quXbumo6Pz/fffN2ovH6necVZlSHfs2DFz5swWLVpYWlp6e3s3TqT/Q/KtIkkq2k/iT6BeDg4OL1++/PHHH4cMGaKjo/Ohm2/dupU6+5uenk6VKBpqgCaAKWh6GBkZRUREEELWrVun+lY5OTlfffWV8jrBwcGEkBkzZnxMeKoYMGDAgAEDGruXj1TvOKsypLNmzSKEODjQ/wvQUtF+En8C9WIymWvXrm3w5vPnzyeE4EecQEPgCLhJiWfDCgoKgoODXVxcJk+e/PTpU/Grqamp48aNc3V13bRpk9S2QUFBiYmJ0dHRjo6OFRUVhJCMjIzx48e7uLiIp9QKCwuXLl3q7u7u5eUVExMjnqOT23J2dvaMGTMGDx48Y8aM2NjY1atXy4352bNnEyZMGD58eFhYmPgg8syZM+PGjXN2dg4KCnr37p3y3uVav379nDlzqDqyOyLb/rx5806cOEG9WllZOXz4cNkjWtl25I4z7UOqygjITsxKRSv3T1BaWhoREeHp6enu7n758mWpzU+fPi0elhEjRhQWFkr+oG9QUNDff/8tucmRI0fmzp1LLa9atWr37t2NNCCqD/uH7rUkJZGr5SQIwIdCAqaBUCgMDQ21t7dPSEgYPXr08uXLhUIh9VJSUlJMTEx0dHRiYuKjR48kt9q4caOHh8ecOXPS0tJYLBYh5OzZs9HR0bGxsSkpKffv3xcKhQsWLLC2tj58+HBMTMyjR4+oT0y5LQuFwmXLljk4OJw+fTowMPD8+fOKoj127NiqVavi4uKEQmFsbCxV+OLFi/Dw8BMnTjAYjCNHjlA7paR3KfHx8Q8ePFi1ahU1iyi1I3Lbd3V1vXr1KrX533//3bdvXxMT6evgZAdE0TjTO6SqjIAsqWhlh4gQsnjxYj09vb17927YsKGqqkpy8+HDh1+5coVavnTp0uDBg3V1dZVESAjx8fEpKiq6c+fO8+fPqRzZSAOi+rB/6F6LfdD7E6BpIAE3irlz5zr+15AhQ6RezcjIqK2t9ff3NzQ0dHFxYTAYr169ol7y8/Njs9kcDqdv377Pnz9X3ouvr2/z5s07duxInRjLyMiorq6eOnWqsbGxlZVVYGBgcnKyuLJUy1QMkyZNYrFY9vb2Hh4einrx8/OztLRs1qxZQEBAWloaVThnzhwOh8NisYYNG5aTk0PtlJLeJV2/fj0uLi4qKorKebI7Ird9JyenrKys8vJyQsilS5dGjBihyoAoGmd6h1SVEaiX7BBlZWVRR/xmZmYcDsfNzU2yvpOT06NHj6gD/UuXLrm6utbbhZaW1rx587Zu3RobGztv3jwdHZ1GGhDVh/1D91pM9fcnQJPBOeBG8ccff/Tp04darq2tlcrBXC43JyfH0dFRXMLj8dq3b08IMTc3p0pMTEyqq6uV99K6dWvJylwu19ramsFgUIWWlpZFRUXiylItc7ncdu3aiSubmppKVpbUpk0baoHNZpeXl4tEIgaDcfny5fPnz2dnZ3O5XOrkqPLeJW3ZssXX17dFixaKdoQQItu+vr5+//79r1275ujo+Pz58379+qkyIIrGWZGmGVJVRqBeskOUm5vbvn17LS35D0llsVh9+vS5du1az549y8rKunfvXlpaWm8vX3/9NYPB4PP51Pu5kQZE9WH/0L0WU/39CdBkkIBpwGazbW1tt23bpt5mW7Zs+ebNGypBEkJyc3OVXNtpbGxcUPD/n+eVn5+vqGZpaSmbzSaEvHz5snXr1gwG4+HDhzExMcHBwe3bt7979y41M6x670uWLImIiOjcuXOPHj3kVpDbPiHExcXlxIkTQqFw8ODB9X7gEnWMcyMNab0jUC+5Q2RmZpabm6tkq2HDhp0/f764uHj48OGEEAMDg9ra2traWmouWm5ComaSa2trMzIy7OzsGmlApCjqpWF7rbxNABphCpoG3bp14/F4CQkJis5XKUKd+ZM6kSlGPdxn+/bt5eXleXl5mzdv9vLyUhJDYWHh0aNHq6qqbt26JU5ysrZv315cXJyfnx8TE+Pu7k4Iyc/Pb9asGYfDIYSkpKR8aO8cDicsLCwsLEzRXKvc9gkhDg4Oz58/P3/+vNz5Z7n7WO840zKk9Y5AvdHKHaLu3bvX1dVt3bq1rKwsMzMzKSlJavMBAwZkZmZeu3aNmn/W1dW1srI6dOhQVVVVQkICl8uVqi8QCNasWTN79uzp06evXbu2rq6ukQZEiqJeGrbXytsEoBESMA10dXVXr16dnJzs4eHh5ua2Zs0aFTd0d3e/e/eup6cnn8+XfVVbWzsyMvLp06c+Pj5BQUH9+vUbPXq0oqaMjIxWrVp16tQpT0/P06dPjxgxQl9fX27Nfv36+fv7T5s2zd7efvz48YQQJycnNps9ZsyYZcuWffPNNw3ofcCAAX5+fsHBwZJHSGJy2yeEMJnMgQMHlpSUdOzYUVHLklQZZ1qGlNQ3AoqIo3VwcJAdIh0dncjIyCdPnvj4+ERERIjndcV0dXUdHBxEIpH4tEJoaOi5c+c8PT1zc3Pt7Oyk6u/Zs+err77q3r17//79zczM4uLiGm9AJCnqRe4bo969Vt4mAI0YIpGI7hho5vR7euo/H3YTwgAOOy2M/rtC1SgiIoLD4YwZM4buQOqxdu3adu3aaX6c5NMZ0iaDAYHPVWpqqlTJwIEDVdkQR8Dkp36ttZkM1eszGGSqk6Vaug4KCsrOzlZLUw3G5/OTkpKuXbsmeUuoZrp3715aWpqiy1yVaOJx/oSGlBBSU1Pz888/q/hYx4ZR74DweLwpU6Z8fDsAtMMRMKmorvt560MVf2HQkWM2xclqwoA2jR1VEwgMDHzy5AmTyezQocPMmTM1/PFAy5cvf/z48cKFCyUnpTXNpzWkTQADAl+CBh8BIwEDAAA0HKagAQAAPiVIwAAAADRAAgYAAKABEjAAAAANkIABAABogAQMAABAAyRgAAAAGiABAwAA0AAJGAAAgAZIwI3i5cuXgYGBH/RDNwAA8EXR0ARcU1MzadIkyd+CFXv//v3vv/9+4sSJpo+qXmfPnp0yZUpaWtqhQ4f8/f3Nzc3pjggAADQUnQl4wYIFU6ZMkfxN8l27doWFhSnfSltbe/bs2Tdv3nzx4kUjB/hhcnJy0tPTf/3113Pnzk2dOrV3794ftHlsbOykSZOuXLkiWbhgwYLY2Fh1RgkAAJqB5iNgkUi0c+fOurq6D9qKxWL9/vvvHTp0aKSoGsba2vqXX36xtLRcuXJly5YtP2jbioqKBw8e2NraXrt2rZHCAwAAjaJNb/e9evXKyMhITEwcOXKk7Kvl5eXr169/+vSpjY3NzJkzTUxMCCEJCQnXr18vLS1t06aNv7+/tbW17FZHjhzJyMioqanx8PDo0aPHsmXLgoKCevToQQgJCwvr0KHD5MmTa2pqAgICPDw8Xr58+ezZsw4dOgQEBLBYLELIy5cvd+/enZ+fz+FwjIyM/v3333Xr1invxc3NTTYwqouRI0fm5ORkZGS0bt164sSJNjY2snt648aNFi1a+Pj4/Pbbb1wut3Xr1uoYXQAA0Fw0HwGbmZn5+PicOXMmNzdX9tUrV6589913vr6+z549O3/+PFVYU1Mzffr0pUuXVlVVHThwQGoTkUi0YcOGJ0+ejB8/ftasWUxmPTuYmpo6aNCgiRMnPnnyJDk5mRDy/v372NhYBoMxf/78vn373rt3T3Yrub0oCuzy5ctff/11UFBQbW3tn3/+KRQKZRtMS0v79ttvbWxsLC0t09LSlMcMAACfAfqnoIcMGfLVV1/t3LlT9peJ+/Xr5+DgMGDAACsrK3GG/umnnzp06NC2bVsHB4e8vDypTbKysrKzsydMmNCnTx87OztXV1flAfTv37937979+vWzsbF5/fo1ISQzM7O4uHj8+PFdunQZOHBgr0pqENUAACAASURBVF69ZLeS24uiwL755psBAwZ07dp15MiRhYWFsjHn5OS8fv3622+/JYR8++23169fx480AwB89miegiaEMBgMf3//X3755fz58wwGQ/KlFi1aUAvGxsYCgYAQIhKJUlNT7969y+Vyi4uLtbWl43/79i0hRO40r1xmZmbUgpGRUU1NDSGEx+MRQiwsLMRdy24l24uSwMTXQpuamhJC+Hy+VGtpaWkikSg0NFRckpGRYW9vr+IuAADAp4j+BEwIadWqlZeXV0JCAofDkSyXyseEkFu3bu3fvz8gIKBjx46XL19OSkqSqkAlufz8fHHi1NPTI4RUVVURQkQiUXl5ufJgDA0NCSFFRUXU+eDCwkLZOrK9KAlM3GN+fj4hpHnz5pJNvX///saNG87Ozg4ODlTJ/v37r127hgQMAPB5U3MCFolEsllTFcOHD09PT3/8+LHy64+KioqYTKaenl5+fv7169dlK9jZ2TVv3nz37t1jxoxhMpl5eXnDhg1jsVgXLlxo2bLlnTt3qEyshK2tra6u7sGDB318fLKzs//55x/Zg2DZXurq6hQFdvnyZRsbGy0trcTExC5dukgl4AcPHlRUVDg6OoqvJuvVq9e5c+f4fD71VQAAAD5L6knAJSUlQqFQIBDI3lCk/GEUQqHw/fv31PLEiRMjIiJEItH79++pQvGr1DnR9+/f9+vX7/79+9HR0V999ZW9vf21a9fEm1O0tLTmzp176NChrVu36uvre3l5CYVCX1/fuLi4qKiooUOHtmzZUlEXVLmhoeG0adOOHDkSFRXVp0+fr7/++tWrV/X2Ym9vLxsYtZWDg8PJkye5XG6nTp38/PykmkpNTTU1NbWwsBCX29vbnzp16saNGwMHDqQCk9pEEh62BQCgRtra2rq6uvr6+vr6+o3dF+Mjr/epra3l8XgmJiYikUhbW7veq44/OWvWrDExMQkICGjAtjU1NXPnzh01atSQIUPUHhgAAKjd+/fv6+rqBAKBSCQyMzPT0tKqd5PU1FSpEurwqV4fmy95PF7z5s11dHR0dXU/m+y7Y8eOjIyM7Ozs+Pj47OxsR0dHuiMCAICmoK2traenx2KxdHV1qettG7Gvj9m4pKSEejjGZ0ZLS2vXrl0CgcDc3Nzf379bt250RwQAAE1KT0+PyWSWlJQ0a9askbr4qCno4uJi6thXjQEBAABogtraWoFAwGazlVejZwpaIBDI3okLAADwGdDW1qYeQdFIPioBU/feqCsUAAAAzcFkMj/0t4I+rP3GaxoAAAAUQQIGAACgARIwAAAADZCAAQAAaIAEDAAAQAMkYAAAABogAQMAANAACRgAAIAGSMAAAAA0QAIGAACgARIwAAAADZCAAQAAaIAEDAAAQAMkYAAAABogAQMAANAACRgAAIAGSMAAAAA0QAIGAACgARIwAAAADbTpDgA+QyUlJYWFhQKBgO5AAOBLZGBgYGho2KpVK7oDqQcSMKjZ8+fPDQ0NO3furKOjQ3csAPAl4vP5RUVFWVlZXbt2pTsWZZCAQZ1KSkqMjIxsbGzoDgQAvlyGhoaGhoZMJrOkpKRZs2Z0h6MQzgGDOhUWFlpaWtIdBQAAMTc3LywspDsKZZCAQZ0EAgFmngFAE+jo6Gj4lShIwAAAADRAAgYAAKABEjAAAAANkIABAABogASsfleuXAkPD6c7CgAA0GianoDd3d3fvXsnVSgQCObNm5eVlUVLSIpcu3bN3d394cOHx48fnz9/fgNaOHbsWGRkpNoDU97Lxo0bT5061didAgCAFPoT8LRp03x9fWtqasQl27dv3759u5JNdHR0wsPD//rrr6qqqsYPUCWlpaVJSUk7duw4cODA2rVrTUxMPmjzLVu2DB06dPPmzefOnTt06FAjBSlXYGDgzZs3X79+3ZSdAgAA/QmYEMJgMHbt2vVBm5iamkZGRhoYGDRSSB/K1NQ0IiLCwsJizZo1+vr6H7r5jBkzLl68OHPmzBEjRowdO7YxIlRES0tr5cqVbdu2bcpOlXB2di4uLpZcaMpONaQdWXFxcatXr6alawBoJBrxKEo/P7/Y2NhBgwZ16dJF9tXMzMwdO3YUFRUNHTo0KCiIEJKUlHT48OHCwsKuXbsuXbpU9kljZWVlsbGxt2/fFgqFc+fO7dWr19ixY8+cOUO9GhIS4u3tPWDAAHd398WLF+/YsePdu3eurq4BAQGEkFevXkVGRj579qxTp0729vbl5eUhISHK23dycpIbkru7e3h4+LZt27hcbq9evUJCQmSPjLlcblRUVFZWlo2NTbdu3cTlihpsWMBcLjcyMjIrK6t9+/b29vbivVDvsKguLS3twIEDz549I4TY2tpOmTKle/fuDW6twXbu3GlkZDRmzJim77rJ7Nixw9TUdNSoUXQHAgDSNOIImM1mz5gxIyoq6v3797KvJicnR0VFbdiw4dKlSw8fPiSE/Pvvv0uWLDly5AiDwTh69KjsJsuWLdPT0/vrr7/Wrl1bXV2tpOuUlJQNGzZERkaeO3cuIyNDKBT+9ttvffr0OXr0aEBAwIULF+RuJdu+opBOnDjx66+/7t+/XyQS/fnnn1LtCIXCJUuWdOvW7fDhw1LdKWqwAQFTvXTv3v3IkSMBAQEXL15UMiAfMywqOnXq1MqVKz09PY8ePXrkyJHBgweHhoamp6d/TJsN8Pr16xs3bowePbqJ+21i/v7+iYmJGv5APoAvk0YcARNCXFxcLl26dOjQIV9fX6mXxo4dy2az2Wx27969s7Ozu3fvPnPmTOqloUOHXr9+Xar+kydPCgsL169fr6Wl1axZs06dOpWVlSnqd9y4cWZmZmZmZn369Hnx4gUhpLa21s/Pj8Fg2Nraurm5FRUV1ds+IURRSOPHj2/Tpg0hZOrUqdThu6SsrCyBQODn50cIsbOzc3d35/F41EuKGmxAwEp6UeOwqIjP58fGxoaHh3/77bdUibe3t1Ao/OOPPw4cOCB3kzNnzhw4cKCgoMDOzi48PNzMzIwQ4uzsvHDhwm3btlVWVs6dO9fExCQyMpLP548fP378+PGKtpIUHx8/evRoBoMhWVhYWLhx48Z79+7p6Og4OztPnz6derJmaWlpdHT0rVu3hEJhSEjI4MGD621frN5QFXWan5+/evXqjIyMDh06SM6OFBQUrFmz5vHjx1ZWVgsXLuRwOJLd7d+/Pz4+vrq62sPDY/bs2VpaWl5eXseOHZsxY4aqfyQAaBIacQRMCQ4OPn78+KtXr6TKW7duTS0YGxtTh5tXr15dvnz5hAkT/vjjD9mD5ry8PBsbGy0tLVU6NTc3l2ycy+VaW1uLP5TlXkslt31FIVlYWFALZmZmFRUVIpFIcisulyt58tXY2LjeBhsQsJJeFGlALyp68OCBsbGxOPtSRowY8erVq4KCArmbvHjxIjw8/MSJEwwG48iRI+Lymzdv7tq1a/78+VFRUUeOHNm2bduaNWt27NhBnQpVtJXYrVu3+vXrJ1kiFAoXLFhgbW19+PDhmJiYR48e7d69m3pp8eLFenp6e/fu3bBhA3XpX73tS1ISqqJOhUJhaGhoz549T5w4ERgYmJKSIg4yNDTU3t4+ISFh9OjRy5cvFwqF4o4yMzNPnjy5c+fO5OTk2bNnU4X9+/e/ceOG8ggBoOlpUAI2Nzf39/ev9z6cx48fb9myxc3Nbc2aNXPnzpWtYGZmlpeXJ1mir69fW1tbW1tLrSq5VsXY2Fhyso7L5arSvpKQSktLqYVXr161atVK6njLxMREMuvk5+eruI8fFLCiXtQ7LCoqKioSf6MSMzQ0NDIyKi8vl7vJnDlzOBwOi8UaNmxYTk6OuHzMmDEsFsvZ2VlXV3fUqFFsNrtbt242NjZUHUVbUQQCgUAgYLFYkoUZGRnV1dVTp041Nja2srIKDAxMTk4mhGRlZRUUFAQHB5uZmXE4HDc3t3rbl6IkVEWdZmRkCAQCf39/FovVrVs3T09PcZC1tbX+/v6GhoYuLi4MBkPyO6uWlhb1S6iSvbdq1QpT0AAaSIMSMCHE09NTW1v7ypUrSupwuVzxxK/c05n29vZ1dXV//fVXWVlZVlZWSkqKrq6upaVlXFxcVVXVqVOn3r59q6hxOzu7wsLChISEqqqq27dv//3336q0rySkXbt2vXv3jsvlbtmyxdXVVbYpHo93/PhxPp+fnp6elpam4j5+aMBye1HvsKjI2NhYtiM+n19ZWaloFvfy5cuLFy8eO3ZsZGSk5GRA8+bNqQVDQ8OWLVtSy0ZGRtQtbYq2opSXl0tlX0KI1IG+paUllclyc3Pbt28vNeehvH0pSkJV1ClVLm5BPOvA5XJzcnIc/+v169eSJxQ6d+48Y8aMRYsWBQUFSd5apq+vr/xiCABoepqVgBkMRkhIiOyTNyQ5OjqamZn5+vr+9ttvDg4OshV0dHR+//33f/75Z/z48atXr27VqhUhZP78+efPn/fx8cnLy+vatauixo2MjH777bczZ874+PicPXvWxcVF9p4i2faVhNS3b9/p06fPmjXL1tb2p59+kmrKwMDg119/PXv2rI+Pz7lz5zw8PFTcxw8KWFEv6h0WFfXs2bOoqEjqkqszZ8507tyZzWbL1n/48GFMTIynp+f69etVv+663q2MjIz4fL5UYcuWLd+8eSM+TZCbm0u9eczMzHJzcz8+KrkUdWpiYiL5TUU86cJms21tbdMkSL1DPD094+Pje/bsuXTpUnFhdXV1g/9kANBI6L8Ia9u2bZKrlpaWZ8+eFa+Kb5IhhMybN49aWLVqlbhQ7lWsVlZWa9eulSzp3r373r17parJbbxbt247duygln///XfqMLTe9hWF1L9/f3d3d9kWJAMTdyemr68vt8EGByy3F6LuYVGFqanplClTwsPD582b17dv35qamitXruzcuXPNmjVy6+fn5zdr1ozD4QgEAmoyQ5Ve6t1KT0+PEMLn8w0NDcWF1A1a27dvHzt2bHl5+ebNm728vAgh3bt3r6ur27p169ixY9+8eZOTk8NgMBoQlVxKOuXxePHx8e7u7o8ePUpNTe3bty8hpFu3bjweLyEhwdXVVdF98AwGg8PhUFPZhJDCwkK5X24AgF6adQSsOfh8fkpKyo0bN4YMGUJ3LCppmoDV0su4cePmzp178ODBkSNHjh8//saNG+vXr1d0H7CTkxObzR4zZsyyZcu++eYbFbtQZSsHB4ebN29Klmhra0dGRj59+tTHxycoKKhfv37UVx8dHZ3IyMgnT574+PhERES0bt26YVHJpahTAwODlStXnj592tPTMzExceTIkVR9XV3d1atXJycne3h4UFcJSLaWnp7u7u4+dOjQHTt2hIWFUYXXr1//yCABoDEwpK7L/SB5eXnik1ufjXnz5j19+pTJZLZv33769Ol2dnYNbsrd3X3//v1KblBRCzUG/PG9ZGZm9urVqzECULvs7Ow1a9bI3pz9mREKhZMmTVq9erXstW8An7179+7Z2tp+TAtFRUXUraRKpKamSpUMHDhQlcaRgEGdPqEETAjZsWOHmZnZjz/+SHcgjWj37t36+vqy1x8AfAk0PAHTfw4YgC5TpkyhO4RGN3HiRLpDAAD5cA4YAACABkjAAAAANEACBgAAoAESMAAAAA2QgEGdDAwMZJ8wBQDQ9Ph8vqKH1WgIJGBQJyMjowb/UiEAgBpVVVXJPvJdoyABgzqZm5sXFRXl5eUJBAK6YwGALxSfzy8uLs7JyRH/9olmwn3AoGZdu3YtKSn5559/kIMBgBYGBgYsFusjH8HRBJCAQf2aNWvWrFkzuqMAANBomIIGAACgARIwAAAADZCAAQAAaIAEDAAAQAMkYAAAABrgKmhQv5qaGj6fLxQK6Q4EAL5E2tra2traRkZGdAdSDyRgULOSkhJdXV1zc3MmE/MrAEADgUBQWVlZXFzMZrPpjkUZJGBQp5qaGl1dXTMzM7oDAYAvl46OTrNmzZhMZk1NjZ6eHt3hKIRjFFAnPp9vampKdxQAAMTIyKiqqoruKJRBAgZ1EgqFmHkGAE2gpaVVV1dHdxTK4LMSAACABkjAAAAANEACBgAAoAESMAAAAA2QgAEAAGiABAwAAEAD+hPwtGnThg4dOnTo0DFjxhw/fly9jXt7e+fm5opXs7KyfH19pfr19vZev369QCAQl9+9e1e9YQAAAEihPwETQtatW5eSkrJ8+fK//vrr2bNnTdnvhQsXNm/e/Pz586NHjzZZv184Z2fn4uLiT6svcTtNGTwAfN40IgETQphMpp2dnaWl5bt37wghSUlJEydOdHd3DwkJKSkpoeocOnRo1KhR33///Z9//kmVFBYWLlq06Pvvvw8ICGhY5mYwGBYWFt9+++2bN2/UtS/QAAcPHjx58qTssooqKip++OEH8TSG1KrmkLtrFRUVV69eXbp0aVRUlPJC8Utubm6nT5+mVvfu3evt7T18+PDFixeXlZUpqQkAGkVTErBAILh69apQKOzZsych5N9//12yZMmRI0cYDAZ1bPrkyZPExMStW7eeOnUqICCAECIUCpcsWWJra3v48OEff/wxIiKiAT+/IxKJ/v3334sXLzo6Oqp9p0B1OTk5NTU1sssqSk5OHjRokI6OjtxVzSF31+Li4m7fvt2uXTvJN7DcQsq+ffskC8vKyrZu3XrkyJG6uro9e/YoqQkAGkUjfoxhwYIFhBAdHR1/f39tbW1CyMyZM6mXhg4dev36dUIIk8nk8/lFRUXiX7fIysqqra318/MjhDg7O+/bty8nJ8fGxuZD+zUxMVm2bNnXX3+tzl0CpTIyMrZs2cLj8YYPHx4cHBwUFHTnzh1CSHR0dM+ePe/fv08tJyUleXl5rVy5cvPmzfn5+b179160aJGpqWl+fv6sWbMOHz6sq6tLNXj69Onw8HBx+1KrhJDCwsKNGzfeu3dPR0fH2dl5+vTpVHouLS2Njo6+deuWUCgMCQkZPHjwmTNnDhw4UFBQYGdnFx4eLvvDElLBK2l8//798fHx1dXVHh4es2fPltzNPXv2LFiwgNqFSZMmEULi4uLEkz2EELmFhJCnT58+fPhwwIAB4pLAwEBq4bvvvrt165aSmgCgUTTiCJg6B/zXX3/dunVr9+7dhJCrV68uX758woQJf/zxx/v37wkhHA5n6tSpy5YtCwkJoaaLuVzu69evh/7XmzdvioqKpFrW1taWnIcUCAT6+vqS/SYkJHTu3JnK8dBkzp49Gx0dHRsbm5KScv/+/Y0bN3p4eMyZMyctLS0mJka8zGKxCCHHjh1btWpVXFycSCSKiYkRN8JgMKiFzMxMAwMD8XcvqVVCiFAoXLBggbW19eHDh2NiYh49ekS9zQghixcv1tPT27t374YNG6jntr948SI8PPzEiRMMBuPIkSP1Bq+o8czMzJMnT+7cuTM5OXn27NmEEMndNDQ0lNwFFVVXV69evTokJETqgdt1dXXZ2dlnz5718PBQXhMANIem/HMymUxLS8sRI0Y8fvz48ePHW7ZscXNzW7Nmzdy5c8V13NzcDhw40L17919//ZUQwmazu3btelFC7969pZpt1arVy5cvxas5OTkWFhaSFUxMTMLCwi5cuPDkyZPG3D/4H76+vs2bN+/YsaODg4PkH0guPz8/S0vLZs2aBQQEXLt2jRBiYWFx/Phx8Qzz6dOnv//+e3F9qVVCSEZGRnV19dSpU42Nja2srAIDA5OTkwkhWVlZBQUFwcHBZmZmHA7Hzc2NEDJnzhwOh8NisYYNG5aTk1Nv8Ioa19LSouZs5O6U1C6oKCoqytXVtUOHDpKFf//9t5OTk6+vb5cuXcQTOXJrAoBG0ZQELBKJuFzumTNnunXrxuVymzVr1qlTJ0LIxYsXJasxGIxOnTpRZ9Hs7Ox4PN6pU6eU/ODUkCFDdu7c+eTJk+rq6szMzAMHDri6ukrVMTExmThx4h9//IGzZU2mdevW1IKJiUl1dbXyym3atKEW2Gx2RUWFSCSSfLWqqurmzZtDhgyRu0rhcrnW1tbiw01LS0sqL+bm5rZv315LS0uy8uXLlxcvXjx27NjIyEhq9kV58Ioa79y584wZMxYtWhQUFPT69Wvl+6iKw4cPV1dXjx49Wqr8u+++S01NPXr0aF1d3eLFi5XUBACNokHngM3MzIYMGfLzzz/X1dVdunTJ19fXxsZm0KBBDx48IITcuXNnxYoVVVVV7dq1Cw0NJYTo6upGRERER0dv2bJFT0/P0dGROiEnycvLq7KycsWKFcXFxRYWFhMmTOjfv79sAJ6enomJiYmJidSRExUPIcTExCQhIaFR9x3qVVpaSp34f/nyZevWraWmbVNSUhwdHcW/uS21SmnZsuWbN29EIhG1bW5ubqtWrQghZmZmkreJE0IePnwYExMTHBzcvn37u3fvXr16td7wFDVOCPH09HRzc9u7d+/SpUulLo9qgIMHDxYXF4uvFjx37ty///4bFBRECGEyma1atZo8efLIkSOFQqGSmgCgOehPwNu2bZMq0dHRWbVqlXiV+iLfu3dv2VzYqVOnTZs2KWmcyWT6+vqKH76hqF8mk7l9+3ZF8UATYLFYL168oH5OWHKZELJ9+/aQkJCampqYmBh3d3dCSH5+fmBg4KFDh3R1dU+fPr1o0SJxO1KrFHt7e6qdsWPHlpeXb9682cvLixDSvXv3urq6rVu3jh079s2bNzk5OQwGo1mzZhwORyAQpKSkiC/yUkJR4xQGg8HhcKhJacndfPv2rXgXVByiU6dOiZdXrlzZvXt3T0/Pf/755/bt225ubkwmc9++fT169GAymXJrqtgLADQZTZmChi+cu7v73bt3PT09+Xy+5DIhpF+/fpMmTZo2bZq9vf348eOp+tQR5/PnzxkMhvhMp9SqmLa2dmRk5NOnT318fIKCgvr160d9q9PR0YmMjHzy5ImPj09ERETr1q2dnJzYbPaYMWOWLVv2zTffqBK5osbT09Pd3d2HDh26Y8eOsLAwqd2sqqoSHzR/jBYtWty6dWv06NHjx48vLi7+5ZdfPrJBAGgyDKkzah8kLy+vefPmaowGPnVFRUXiU7Zq4ezsHBcXJ773TMr69es5HI740l+pVQD4wn18klLlMy01NVWqZODAgao0jiNg+FTV1NSkpaU5OzvLXQUA0HD0nwMGaBg9PT3JX++QWgUA0HBIwKDRLly4QHcIAACNAlPQAAAANEACBgAAoAESMAAAAA2QgEGdpH79AgCALgKBgPp5PY2FBAzqpK2tXVlZSXcUAABEIBCo/qQ5WiABgzoZGRlVVVWVlZXV1dXRHQsAfKEEAgGfzy8pKTEwMKA7FmU0+vAcPkVsNrumpobH4yEHAwAttLW1dXV1Nf9BjUjAoH56enpSv0cEAABSMAUNAABAAyRgAAAAGiABAwAA0AAJGAAAgAZIwAAAADTAVdCgfjU1NXw+XygU0h0IAHyJtLW1tbW1jYyM6A6kHkjAoGYlJSW6urrm5uZMJuZXAIAGAoGgsrKyuLiYzWbTHYsySMCgTjU1Nbq6umZmZnQHAgBfLh0dnWbNmjGZzJqaGk1+JgGOUUCd+Hy+qakp3VEAAPzfk3HpjkIZJGBQJ6FQiJlnANAEWlpaGv5AXHxWAgAA0AAJGAAAgAZIwAAAADRAAgYAAKABEjAAAAANkIABAABooCkJOCYmxsfHR/KS8WnTpg0dOtTZ2Xns2LG7du2inms4bdq0u3fvSm0rWbhr166goKDa2tomixwAAKABNCIBCwSCK1eutG3b9vr165Ll69atS05O/u233y5fvnzy5Ml620lOTr527dqKFSt0dXUbLVgAAAA10IgE/Pfff3fq1MnZ2fncuXNSL2lpaXXq1MnLy+v27dvKG7l3797+/ft///13Y2NjqqSwsHDRokXff/99QEDAs2fPCCGhoaGnT5+mXq2srPT09CwrK1P33gAAANRPIxLwuXPnvvvuO0dHxzt37vB4PNkKtbW1hoaGSlrIzs6OiopasWJFy5YtqRKhULhkyRJbW9vDhw//+OOPERERQqFw+PDhf//9N1XhP//5T58+fUxMTNS+OwAAAPWiPwFzudwHDx4MGDDA1NTUzs4uKSlJ8lWBQPDo0aPjx487OzsraSQuLq5nz57t2rUTl2RlZdXW1vr5+RkaGjo7OzMYjJycHEdHx3/++ae8vJwQcuXKleHDhzfSTgEAAChHfwJOTk62s7OjnuDv5OSUlJQkEomolxYsWODh4fHHH39Mmzbtm2++UdLI9OnTHz58eOrUKXEJl8t9/fr10P968+ZNUVGRvr5+v379bty4UVFR8eLFi759+zbqroFcQqFw+/btnp6ePj4+kn8yusoBAGhB888RCoXCpKSkgoKCoUOHigvv37/fq1cvQsi6deu+/vprVdoxNTVduXLlnDlz2Gy2o6MjIYTNZnft2jUmJkaqprOz8+nTp4VCoZOTk5aWlvp2BVQVHx+/Z88eannt2rWtWrWivl3RVQ4AQAuaj4Dv3LlTUVFx8uTJi//l5OR09uzZBjTVtm3bX375Ze3atRkZGYQQOzs7Ho936tQpqZ+j6t2794sXLy5cuID5Z7pcvHhRcvXChQv0lgMA0ILmBHzu3Dl3d3cWiyUuGT9+fFpaWsMuTu7Zs+fMmTOXLl2ak5Ojq6sbERGRkpLy448/ent7R0VFUXWYTKajo2NpaWmHDh3Usw/wgcSnGKRW6SoHAKAFzVPQy5cvlyrp0KEDdTPStm3bZOvXW+jq6urq6kotd+rUadOmTbL1q6qqcPhLo6FDh2ZlZYlXhwwZQm85AAAttMLDwxu8cXl5ufK7gzTQgwcPDhw4EBwcrKenR3csn6GqqirxfdiK2Nravn///vXr1yYmJtOnTxd/GaKrHAA+Vx+fpFT5THv16pVUieQtOUowPmYiLi8vr3nz5g3e6dGdrQAAIABJREFUvOlFRERkZGQEBwc7ODjQHcvnqaioqE2bNnRHAQBAiDqSlCqfaampqVIlAwcOVKVxmqegm9iyZcvoDgEAAIAQ2i/CAgAA+DIhAQMAANAACRgAAIAGSMAAAAA0QAIGAACgARIwqJO2trZAIKA7CgAAIhAItLU1+k4fJGBQJ21t7crKSrqjAAAgAoFAV1eX7iiUQQIGdTIyMqqqqiorK6urq6M7FgD4QgkEAj6fX1JSYmBgQHcsymj04Tl8ithsdk1NDY/HQw4GAFpoa2vr6upq/oMakYBB/fT09PCobQAA5TAFDQAAQAMkYAAAABogAQMAANAACRgAAIAGSMAAAAA0wFXQoE7Uxc88Ho/L5eKRWNAwhoaGLBbL0tJSSZ1P8T32ue6XBpIc6pqaGrrDUQgJGNQsIyPD0NCwc+fOOjo6dMcCnyQ+n19UVHT//v2ePXvKrfCJvsc+1/3SQPUOtYZAAgZ14vF4RkZGNjY2dAcCnzBDQ0NDQ0Mmk8nj8Vq0aCH16qf7Hvtc90sDSQ61sbEx3eEohHPAoE5cLlf5DBuAiszNzblcrmz5p/4e+1z3SwMpGmrNgQQM6iQQCDB7Bmqho6Mj91Top/4e+1z3SwMpGmrNgQQMAABAAyRgAAAAGiABAwAA0AAJGAAAgAa4DQkAviAikUgoFDKZTAaDQXcs6iESid6/f19XV8dgMEQikZaWlra29mezd5+3zycBHzt27OXLlyEhIYoquLu779+/38zMrCmjAgCNUlRUlJuba2lpKXsn7ieqoqLi/Pnzd+7csba2zsnJ6d279/DhwzX55lcQo38Ketq0aVOmTJEq5PF4Li4uhw4doiUkAPhcFRUVZWZmFhUVNWDb5OTkH374IT8/X+1RfQzqkFckEtXW1opEIm1tbS0tLbqDIoSQGzduBAcHi0SiBrcgEAj8/PxycnLUGJVGoT8BE0LevXt3+/ZtyZJjx44ZGRnRFQ9oMqFQ6Ovr+/btW6lyZ2fn4uLiD2qqAZvAl2zYsGEDBw68f/8+tarordjEDA0NLSwsOBzOiBEjOByOhYWFoaFh03Qt9z8oPT3d2dk5PT197969YWFhDZgMr6mp8ff3j4iIiIuL8/b2tra21pChVjuNmIJ2cnI6evRonz59qNXKysqLFy+KVwkhPB4vNjb2/v37Ojo6Q4YMmTx5MnXHOpfLjYyMzMrKat++vb29vbh+YWFhVFRUZmampaXl/PnzO3Xq1MR7BI2HyWTu27ePWj548KCRkdHIkSPr3erp06cbNmx49uyZjY1NeHi4lZVVI4cJn6qgoKA7d+5Ilvzwww/z588nhLx9+zYxMdHHx4cql3wr0os6sU0IEQqFio44lexXvVT/R6uoqIiPj9+3b9/atWvXrVtHHUepvjllx44dM2fOvH37tqWl5aBBg4gmDbV6acQR8ODBg1++fJmdnU2tnjlzxsnJycDAgFoVCoVhYWFt27bdu3fvhg0bHj9+vH//fqp8yZIl3bt3P3LkSEBAwMWLF8X1lyxZYmtre/jw4R9//DEiIoJ6a8LnJycnR5WfOqmsrAwNDfX29j5x4oSjo2NYWFgTxAYapbKy8vnz5xUVFeKSioqK58+fV1ZWStXcuHFjWlpafHy8vr5+WlpaWlqaOEtZWFhcuHBB0769vX//vry8nBBCfWaWl5fLffyTkv2ql4r/aIQQFou1du1aCwuLDRs2iGcxVd+cMmvWLAcHh4CAACr7fsY0IgFra2t7e3sfPXqUEPL+/fuTJ0/++OOP4lezsrKqq6v9/f2NjY0tLS0DAgJSUlKocuoMAYvFsrOzc3d3F9evra318/MzNDR0dnZmMBif8SmET1dhYeHSpUvd3d29vLxiYmLEHxnOzs7nzp3z8PBISEigVlNTU8eNG+fq6rpp0yZxneLi4qCgoMTExOjoaEdHR+qDNSMjY/z48S4uLlFRUYSQ/Pz8H374oba29v79+23bth0+fDiLxZowYUJFRcXTp0+ppp49ezZhwoThw4eHhYWVlZXRMBDQJPh8fnp6+o0bN6hcVV5efuPGjfT0dD6fr2ILZ86cGTdunLOzc1BQ0Lt376hCTTiLUVBQkJub27Zt25YtW7Zt2zYvL4/H46m+bXBwsIuLy+TJk8X/FPv37x85cqSLiwv1Hyf7jyZr/fr1c+bMEQgEsg0q2Vzuf7eSTwbah1rtNCIBE0I8PDz+85//lJSUXLlypXPnzq1btxa/xOVy27ZtKz6R0KZNG+rPQJWLq4mv+uNyua9fvx76X2/evGnYBRfQeIRC4YIFC6ytrQ8fPhwTE/Po0aPdu3eLX01PTz98+LC3tze1mpSUFBMTEx0dnZiY+OjRI3G1jRs3enh4zJkzJy0tjcViEULOnj0bHR0dGxubkpIiPlHHYDCqq6uZTKZ41dTUVHwdzbFjx1atWhUXFycUCmNjYxt/14EeJiYmXbp0efny5b179yorK+/evfvy5csuXbqYmJio2MKLFy/Cw8NPnDjBYDCOHDnSqNGqrrq6+tmzZwKBoEePHnp6ej169BAIBM+ePauurq53W6FQGBoaam9vn5CQMHr06OXLlwuFwszMzJMnT+7cuTM5OXn27NlE3j+alPj4+AcPHqxatUpLS0u2QeWbS/13K/9k+PxoSgJmsVjOzs6nTp06evTo6NGjJV9q2bJlbm6u+MRGXl6eubk5IcTExKSgoEBcTfyRymazu3btelFC7969m2o/QCUZGRnV1dVTp041Nja2srIKDAxMTk4Wv+rt7S35j+rn58dmszkcTt++fZ8/f66kWV9f3+bNm3fs2NHBweHly5cWFhbHjx/X0dHp3r17VlbW5cuXq6urk5KS/v33X/HXaj8/P0tLy2bNmgUEBKSlpTXS/gJdhELh27dvi4qK9PT0bG1te/fuXV5e/vTp04qKit69e9va2urp6RUVFb19+7beE1Vz5szhcDgsFmvYsGEaMqkmEokKCgru3LnDYDBev359586d169fMxiM27dvFxQU1Hv5cUZGRm1trb+/v6GhoYuLC4PBePXqlZaWFvVjuirGcP369bi4uKioKBaLJbdB5ZtL/Xcr/2T4/GjERVgUHx+f6dOnt23btkuXLpLltra2hJBdu3aNGjWqoqJi69atnp6ehBB7e3sej3f8+HFXV9eMjIy0tDTqui07Ozsej3fq1Klhw4aJTySDRuFyudbW1uJZDUtLS8l/eMn5D0II9X2LEGJiYqL8e714Q6maLVu2DA8P37RpU0RExMCBAzt27Chus02bNtQCm80uLy8XiUR4gsHnpK6u7v79+yYmJt9++62enp6dnV11dfX9+/d79eplZ2enp6dHCHn69GlZWdmQIUPE0yRyXb58+fz589nZ2Vwu18HBoan2QJmqqqqMjIySkhI2m/3s2TOqkMlklpSUPH78uEWLFsovh+ZyuTk5OY6OjuISHo/n4OAwY8aMRYsWtW3bNiQkRHKWUa4tW7b4+vpSN1XLbbB9+/ZKNpf671b+yfD50aAEbG5u3qdPHycnJ6lybW3t33//PTo6evz48cbGxiNGjKDOEBsYGPz666/R0dE7duzo16+fh4cH9dOPurq6ERER0dHRW7Zs0dPTc3R0DA4OpmF/QLGWLVu+efNGnO1yc3NbtWolfrUx7mLs379///79CSGlpaV+fn6dO3emyktLS9lsNiHk5cuXrVu3Rvb9zIhEouLiYvHRrZ6eXs+ePTt06GBsbExlX0JISUlJSUmJ8uPFhw8fxsTEBAcHt2/f/u7du1evXm300OsjEol4PF5WVpaLi0u7du0kX3r16tXNmzft7e0lT97JYrPZtra227Ztkyr39PR0c3Pbu3fv0qVL/x97dx7QxJn3AfxJCCFAEggIKoeCNKhgvTjqgWIFFUulIrRVqfd6oLVYxVq1dVdpX1sF3W3V6iqt67FKa9WiFRVptVq1goLKWQRFJARC5A5HYPL+MdtslhxGBQfo9/NXfPLM8/yeZyK/zDOTmX/961+Gw1i/fn1MTEz//v2HDBmir0HjGf7L0P0wn4A199b69evVr99//3316969e2/evFl728GDB+/bt0+7XCwWq0/pq/3444/PGyu0E/o3Y3v37p0xY0Ztbe2uXbumTp36DO3w+fyCggL6zoLa75aWlr777rtHjhzhcrmEEJVKVVxcvG3btmnTpqn/+O7duzc6OrqpqWnHjh3q6/ig26D/jmsuL1tYWLQ5LqQoisViGf7uVVpaam1t7e7urlQqk5OT6U8Us1paWh49eiQQCLy9vdWfZ5qdnV12dvajR4969+5t4BnDL7/8ckVFxYkTJ4KCgtosFrJYLHd3d/Xyr4H/aO7u7uvWrVu3bt2OHTv0NWj4/6mm9vrL0FUwn4DhT4jD4cTGxm7bti08PFwoFL7++uttTvwbKTg4+IMPPpgyZcp3332ns4L6q/S7776bk5MjFAqnTp06e/ZsdYURI0bMmzePoqgJEyZEREQ823Cg02Kz2b179/7ll1/o19oVKIq6efPm2LFjDecGf3//CxcuvP32266urgEBAenp6R0VsdFYLBaXyy0uLj579qzmFwKKovLz8x8+fDhs2DDDg+JyuZ999tm2bdt27NhhZmbm7++/Zs2a1NTUv/3tbwqFwsXFRf2DPc3/aNrL2qNHj549e/aqVat2796t3eATN9fUXn8ZugrW89wnTCKR2NratmM00NVlZ2cPGzaM6Sigm0hPT9f+OOksNKCuri4tLU0qler8W8disXr16uXt7a3z+t4O0i7jIoTU1dXdvXu3uLi4tbVVXUhR1O3bt/39/f39/V/koDqn9PR0+iqiZyaXy9VXiuhDf8PTNHbsWGMaxxEwAHRnfD5/zJgx+m4RxWKx2Gx2J7l58tPi8/m+vr7e3t5thhYWFsbhcDgc/Hnv7LCHAKCbMzEx6aIp9om68dD+DDrL74ABAAD+VJCAAQAAGIAEDAAAwAAkYAAAAAYgAUN7srCwMP7xMgAGKBQKnb8Z7eqfse46rk5I31R3HkjA0J74fH73vncrvDANDQ06H1XU1T9j3XVcnZC+qe48kIChPdE3T5dIJDofCQ5gDIVC8fjx44cPH/bu3Vv73a77Geuu4+qEDE9154E7YUF7ou9JW1FRIZVK8XcEno2FhYVQKDT8p7Mrfsa667g6Ic2pbmpqep6mcCcs6DLoz7pAIBAIBEzHAl2b4b+bXfcz1l3H1Qk9Z+p9AbAEDQAAwAAkYAAAAAYgAQMAADAACRgAAIABSMAAAAAMQAIGAABgABIwAAAAA/A7YAAAgGdn5G03tOEIGAAAgAFIwAAAAAxAAgYAAGAAEjAAAAADkIABAAAYgAQMAADAACRgAAAABiABAwAAMAAJGAAAgAFIwAAAAAxAAgYAAGAAEjAAAAADkIABAAAYgAQMAADAACRgAAAABiABAwAAMAAJGAAAgAFIwAAAAAxAAgYAAGAAEjAAAAADkIABAAAYgAQMAADAACRgAAAABiABAwAAMAAJGAAAgAFIwAAAAAxAAgYAAGAAEjAAAAADkIABAAAYgAQMAADAgOdKwBwOp6Wlpb1CAQAA6DxaWlo4HE7Htf9cCZjL5ba2trZXKAAAAJ1HS0uLmZlZx7X/XAmYx+PhCBgAALql1tbWTp2AKYpqampqr2gAAAA6g7q6OoqieDxex3XBUqlUz7N9a2trWVmZQCAghHA4HDYbV3UBAEBX1dLS0tLS0traqlKpbG1tO7Sv503AtKqqKoqilEolTgkDAEDXxeFwzMzMzMzMOvTYl9Y+CRgAAACeClaMAQAAGIAEDAAAwAAkYAAAAAYgAQMAADAACRgAAIABSMAAAAAMQAIGAABgABIwAAAAA5CAAQAAGIAEDAAAwIDuk4APHDiwevVqQkhTU9P8+fOTk5OZjugpUBSVkJBQUFDAdCAAAPCCcBjs+/79+ydOnCgsLFQqlXZ2dh988IFQKGQwHgM6OtSmpqbU1FQ7Ozs3N7effvopPT191apVRm67evVqsVi8aNGidowHAAA6GmMJuKqqasuWLQ4ODnPmzDExMbl9+3anfa7wCwjV3Nw8NjaWfn3v3r2qqqr2bR8AADobxhKwVCptamqaMGGCj48PIWT48OF0+YkTJ65du1ZdXe3g4DBv3rw+ffo0NTVFRka+/vrr9+/fz8/Pd3Nzi4yM5PP5hJCSkpL9+/cXFxe7ubnRJWoKheLLL7/Mysrq1avX/Pnz+/TpQwiprKw8evRoXl6eSqV6+eWXZ8yYYWlpeerUqZMnT/7tb39zdnY+ffr06dOnP/30U83HQOoLVS6XHzx4MD8/XyQSzZgxw9PTkxBSW1ubkJCQlZXV1NT0+uuvDxky5OOPP46KihoyZAghZN26dW5ubgsWLKAHFRQUdPv2bTs7u8jIyMjIyBkzZty+fTs7O5sQMn/+/Llz5166dKmlpWXjxo30iN5777133nln3LhxhudWew5jYmJ0tqM9hDaBrVixoh12NgAAaGHsHHDfvn2tra2PHj3666+/aj5FuKmpafHixR999FFDQ8Phw4fV5b/88su4cePmzp2bm5t77tw5QkhLS8v27dtbWlpWrFgxYsSI9PR0zfZ//vnn4cOHr1ixQqlU7tq1i6Ko1tbWuLi40tLSRYsWzZkzJzMzMz4+nhASFBRka2ubmJioUCjOnj37+uuvt3kIs85Q6dZUKtVf//pXLy+vnTt31tXVqVSq7du35+bmRkRELFu2jM1+wvRevXp1yZIlmklu/vz5Q4cO7dmz56effurj4zN69Oji4mK5XE4IuX37NpvNpr8EGKY9hzrb0TkEfYEBAED7YiwBm5ubr1u3zsnJKT4+ft26dbm5uXT59OnT3dzcnJ2dfXx8JBKJuv6oUaO8vLxGjBjh4uJSXFxMCMnOzn78+HFERMSAAQPGjBmjPjClvfLKK6NHjx4wYEBISEh5eblEIsnOzpZIJLNmzfLw8Bg+fPjkyZMzMjLq6upMTU2nT59+69at/fv3C4XCoKAgY0LNzs6WSqXTp0+3t7efMmVKU1NTVlZWTk7OgwcP5syZ4+3t7enpqd1UG76+vs7OzpolNjY2PB6Pw+H07t3b3Nz8lVde4XA4t2/fJoTcunVr8ODBlpaWT5xb7TnU2Y7OIegLDAAA2heTF2H16NEjOjo6Pz//yJEjcXFxGzZscHJy+uWXX27duiWVSh8/fszh/Dc8kUhEv7C0tKRPwVZUVBBCevXqRZe3WYK2t7enX1hZWRFCFAoFXb93796aFaqqqvh8/vDhw3v16pWWljZv3jzNTg2EKpPJCCHr169X16msrFQoFIQQFxcXI2egzaG2NktLyyFDhty+fXvMmDGZmZkLFy58YpsqlUp7DnW2o3MIRgYGAADPickETBOLxUuWLPnwww9v374tkUgOHToUGRn50ksv/fzzz2fPnjWwIX0sKJfL6dRLpxO1mpoa+gV9CGhra0tnx7KyMs36dKa5c+dOWVmZu7t7SkrK6NGj9S0da4bq4OBACImJienRowf9rvoQs7S0VCAQ0IVmZmaEkIaGBkKISqWqra3VbFBfRyqVSv169OjRu3btSk9P53A4gwcPNjAhtBs3buicQ+12rK2ttYfQ0tJiIDAAAGgv7ZyAVSoVi8UypmZ2dnZ6erqHh4eJiclvv/1GCHF0dCwtLWWz2WZmZqWlpdeuXTPcwsCBA7lc7r///e/w8PAHDx7k5eWp0x4h5Oeff+7bt6+Jicnp06cHDBhga2srEAh69Ohx8ODBt956q7GxMSkpadSoUebm5k1NTQcPHhw9evTkyZM/+uijlJSUCRMmPDHUAQMGCASChISE0NBQiqIuXry4YMECT09PW1vb/fv3v/3222w2WyKRTJgwgc/nX7hwwc7O7ubNm3QmNszCwkIul+fn5/fr18/ExGTw4MEWFhbHjx/39fXVeXROCKmurr579y79uqysTOccarczcOBA7SHQCRgAADpa+yTgqqoqiqKUSqXm5VQ09VJwG3w+v7Cw8MqVKyqVyt7efs6cOS+//HLfvn0zMjK++OKLfv36DRo06Ndff21paaFTAkVR9AuVSqVSqVpaWiwsLBYtWpSQkLBt2zZvb29vb++8vDx1fV9f38TExLKyMrFYPHv27JaWFjab/f777x89enTXrl1mZmZeXl6hoaEtLS3fffddTU3N66+/LhKJRo0adeLEiWHDhtFHhwZCJYQsX7786NGjn3/+uaWlpZeXV0tLi4mJyYoVK44cObJnzx4ejzd16lSKombNmvXtt9/GxcUFBATY2dnRwbcZlOY/x44dm5WVtWXLlnnz5vn6+hJCfHx8UlJS5s+fry875uTk5OTk0K/XrFmTmZnZZg7pt9q0Y2pqqj2ENoHpU15ebvATAQDQJXE4HC6Xy+PxeDxeR/fF0lztfAbNzc0VFRVCoVClUnE4HCxddoR///vfubm5mzZt6iTtAAB0Vy0tLa2trUqlUqVSiUQiExOTjuvrefNlRUWFra2tqakpl8tF9m139fX1165du3bt2qRJkzpDOwAA3RuHwzEzM+Pz+Vwut6ysrGP7ep6Nq6qqOu3NI7uHI0eO5ObmTpo0afTo0Z2hHQCAPwkzMzM2m11VVaV5RrJ9PdcS9OPHj+lj33YMCAAAoDNobm5WKpU2NjYd1P5zLRorlUp91+UCAAB0aRwOR6lUdlz7z5WAW1tbcd4XAAC6JTabrf3TnvZsv+OaBgAAAH2QgAEAABiABAwAAMAAJGAAAAAGIAEDAAAwAAkYAACAAUjAAAAADEACBgAAYAASMAAAAAOQgAEAABiABAwAAMAAJGAAAAAGIAEDAAAwAAkYAACAAUjAAAAADEACBgAAYAASMAAAAAOQgAEAABiABAwAAMAADtMBtKVSqeRyOSHE1taWxWIxHQ4AAECH6FwJuKCg4F//+tfjx48JITY2NnPmzHFzc2M6KAAAgPbXiRJwWVnZzp0733rrLW9vb0JIWlrazp0716xZ07NnT6ZDAwAAaGed6BzwmTNnxo4dO2LECA6Hw+FwRowYMXbs2DNnzjAdFwAAQPvrRAn4/v377u7umiXu7u73799/kTF8//33sbGx9Ovg4ODKysoX2fszoyhqwYIF5eXlTAfSbjR3BABAt9SJlqAbGxvNzMw0S8zMzBobG5+4YW5ubnx8fF5eHpfLfeONN2bNmtVhMT67Dg2SzWbHx8fTrxMSEiwtLV9//fUnbrVo0aKCggIWi2VnZzdx4sQ5c+aw2Z3oCxkAQPfWKRJwY2OjRCKhKKqkpESzvKSkhKKowsJCBwcHHo+nc9u6uro1a9ZERUV98sknFRUVx48ffyEhP50XGWRxcbGrq6uRlbdu3TpkyJDCwsKYmBhra+vQ0NCOCwwAADQxn4BlMtnWrVspimpsbExMTNQ8CKMLd+3axWazV69ebWdnp725XC5vaWnx9/c3MTFxdHRcvnw5XX727NmjR4/KZLKBAwd+9NFH1tbWhJDg4OC1a9fu27evsrIyKCgoMjKSECKVSmNjY3NyclxdXQcNGqTZ+L179/75z39KpdLhw4evWrVKKBQSQioqKnbu3JmRkWFqajp+/PgFCxaYmpoeO3bst99+27p1KyFky5YtvXv31jzG1RekTCaLi4vLzs52dHRcuXKlWCwmhNTU1OzcuTMtLY2iqBUrVgwbNmzGjBk//vgjvUl0dHRoaOjo0aODg4OjoqJ27949d+7ckJCQ4ODgQ4cOffrpp+np6YSQXbt2DR06dNy4cVOmTCGE1NfXT58+/fDhw/QQNJmYmIjF4qlTp6alpYWGhuqctyNHjhw/frypqWny5Mn0pLUpWbdunb+//6RJkwghS5YsCQoKmjp1KiEkPDz8q6++YrFY2jNG7w7NIRjYEQAA3Q/zS47Xrl3r37//1q1bd+zYERsbu0VDbGzsjh07tm7d2r9//2vXrunc3NnZ2cXF5eOPPy4tLdUsLywsXL9+fUJCAovFOnbsmLo8OTl5+/btsbGxSUlJWVlZFEWtX79+8ODBCQkJkZGRKSkpmo2cPHly48aNhw4doihqz549hBCKotatW+fs7HzgwIHt27dnZmYeOnSIEBIaGvr48eP09PSCgoKcnJzp06c/MUi6aw8Pj6NHj4aFhcXExFAURQj5+OOPzczM4uPjt2zZYngF/ubNmwcOHAgJCVGXxMbGTp48eenSpSkpKZMnT758+TJdfvXqVW9vb+3sq9bc3GxhYaFz3nJzc0+fPr1nz57ExEQ6+2qX+Pj40Im/srJSLpdnZGQQQh4+fGhlZWVra6tzxtoMwfCOAADofphPwE1NTUKh0MA9N1gsllAobGpq0vkum82Oi4vr16/fkiVLtm3bVldXR5cvXbpULBbz+fyAgIDi4mJ1/ZkzZ4pEIrFY7O3tTSdLpVI5e/ZsPp/v6ekZHBys2XhERISDg4OVldXChQuvXr1KCMnJyWlsbJw3b55AIHB0dIyMjExOTiaEmJiYLF++fN++fXv27Fm+fDl9hGc4yJycnObm5tmzZ1tYWAQGBrJYrIcPH+bm5spksqioKGtra7FYTB9T6hMSEsLn8/W96+fnl5eXV1tbSwi5ePHixIkTdVZTKpV37949fvx4YGCgznljs9kKhYK+O4p6OG1KfH196aSbmpo6ZcqU3NxclUp1584dHx8ffTPWZgiGdwQAQPfD/BL08+PxeH/5y1/efPPNXbt2rVy5cufOnaamppcuXUpJSSkqKiorK/Py8lJXtre3p18IBILGxkapVOrs7Kx+VyAQVFRUqP/Zu3dv+oVIJKqrq1OpVHR99dcFBwcH+rYhhJChQ4eyWCyFQjF8+HBjgpRKpcXFxQEBAeo6crm8urraxcXFxMTEmIEb/oU0j8cbMWLE9evXR44cWVBQ4Ovrq11n9erVHA7Hyclp0aJFr7zyCiFy+0gcAAAgAElEQVREe97c3d0XLlz48ccfOzk5rVixwsnJSbvE0dHR1NS0pKTkxo0bM2bMyMrKKiwsvH37dlBQkIEZ0xyC4R0BAND9dIcETLOysvrwww/Dw8Pz8/Mpitq9e3dUVJSLi0tGRoZ6JVabUCjU/PVOm3Xs6upqkUhECCkqKurZsyd9wXBJSYlKpaIzikQiUWf0rKwslUrV3Nyck5MzcODAJwZpY2MzcODAHTt2aFZIT0+XSCSaJTwer7m5ubm5mcvlEkI0s9cT83RgYOCpU6coiqJPP2tX2Lp1q+bXhczMTJ3z9tprr02aNOnw4cMbN27cu3evzhJvb+9bt24VFRW5ubl5eXllZGTk5uauXr06NzdX34xpDsHwjgAA6H6YX4J+Tjk5OYcOHZLL5UqlMjU1tbm52c7OTiqV0ku4hBDDZxMHDRpEX5asUChSU1OvXLmi+e4333xTWVkplUp3794dFBRECPHw8KDLa2trS0tL9+zZQ1/lpFQq4+LiIiMjFyxYsG3bttbW1icG6enpWVFRkZiY2NDQoBlPa2trfHx8TU1NTk5OcnIyl8t1dHT89ttvGxoaEhMTy8rKDE8In88vLCykTyd7eXkVFBRcuHBB3/pzGwbmjcViicVizRMBbUp8fX0TExMHDBhA95ucnOzk5MTlcvXNWBuGdwQAQPfDfAI2MzOrqalRqVT6KqhUqpqamjY/EVZzdHR88ODB/Pnzp06deujQoU2bNtnZ2fn5+YlEolmzZm3atMnHx8dA7+bm5hs3bjxz5kx4eHhSUlKbn8/6+vouWrRo2bJlHh4e9HVVHA5n8+bN+fn5ERER0dHRvr6+YWFhhJDDhw/T1+6OGDHC2tr6+++/f2KQXC43JiYmOTk5LCwsNDQ0Li6OEGJqarp58+a8vLyIiIjPPvuMXqFduXLl+fPnw8PDJRKJvmNrtaCgoIyMjLCwMIVCwWaz/fz8qqurjbylts55u3nzZmho6GuvvbZ///4PPvhAZwkhZNiwYcXFxfQ6dr9+/WQyGd2Cvhl7qh0BAND9sAxkvieSSCS2trbPGYH6Z0j67gJBv6XvZ0hg2LZt2/r06RMeHs50IAAAXY9cLndwcOigxpk/B2xnZ7dp06bS0lJ61VQbm83u3bu3vhtxgAG3b9++evXqwoULmQ4EAADaYj4BE0J4PJ7xN28CI8XExGRlZa1Zs0YgEDAdCwAAtMX8EjQAAEDn1KFL0MxfhAUAAPAnhAQMAADAACRgAAAABiABAwAAMAAJGAAAgAGd4mdITU1NCoVC3++AAaANDofD4XAsLS0N1KmqqpLJZEql8oVF1b7Mzc0tLCwMP3EEoEtjPgFXVVVxuVx7e3t9d8ICgDaUSmV9ff3jx49tbGx0Vrh3756FhUX//v3bPBmzC6EfeWng0SYAXR3DCbipqYnL5dJPHAIAI5mamlpbW7PZ7KamJu3bpFdVVVlaWrq4uDARWruxsLCwsLBgs9lVVVXW1tZMhwPQ/hg+6FQoFFZWVszGANBFWVpaaj5KS00mkzk6Or74eDqCvb29TCZjOgqADsFwAjbwDAYAMMzExKTNgy9pSqWy6648t2Fqatp1T2MDGIbkBwAAwAAkYAAAAAYgAQMAADCA+Z8hAQC0A5Wq+cEDQgjXxYWwWExHA/BkOAIGgC5PcfXq74MG5Q8enD948O+DBimuXmU6IoAnQwIGgK6t6fffi0JD7deu9ZDLPeRy+7Vri0JDm37/nem4AJ4ACRgAujbZ5s02ixZZv/MOi8tlcbnW77xjs2iRbPNmpuMCeAIk4K4hKyvrypUrL7IjiqJOnDhRX1//IjslhBw8eFDnzSVevBc5A11LYGDg48ePO3oT4yl++81y7FjNEsuxYxU3bjxxw2xb20wer6Ws7Bk6bcrLy+Tx8gcPftoNC0aNyuTxGm7e1H6rJjExk8er/u67duzuxVAPqrmwMMfZuXD8eOO31Te0px2yOobS6OhsW9susQTSBRLwyZMnv/7DyZMnDdS8e/dubm7uCwusM+i4IbPZ7NDQUPp2/91+YjUHqH6tOQPdW3Bw8KNHj9T/zMrKevvttxmM52lRdXXs/91NbEtLqraWqXieDVVfX7J0qaW/v9WbbzIdy3OgL39j9CK4nps2sczNS5YsYTAGI3WNq6CDgoIcHByeWK26uvrPdlvpFzPkbj+xmgPs9oPtTlpra5uyskhLS+Pdu5rljXfvkpYWxfXrZp6eJgIBU+E9lcr9+1srKnq89x7TgTwXrqvrwOJiZmNgW1jYLl5c/umniqtXLUaNYjYYw7pGAtZ28ODBsWPHpqWlNTQ0uLu7+/r6nj17ViKREEJ+++23d955p7m5+erVq2VlZVZWVqNHj7a1taW3GjFiRFpa2tChQ9s8YuXgwYOvvvpqWlpabW2tg4PD6NGjeTweIeT333+/e/dufX29vb39uHHj6MI7d+5kZ2crlcr+/fv7+vpql5w/f97V1VUsFhNCfvjhB3d3d7q7I0eOhISE0EFKpVI2m92vXz8vLy8TExPt8Gpra3/99VeZTGZtba3zoWxthqxUKnU2q6murk57WvR1dPDgwfDw8EuXLmn2wuVy1RW050HndGnvLAOdEkLkcrl6R/j5+dEPG6ivr9ceXWZm5qNHj4KCggghly9fFggEQ4cO1WxKO0LtGdCcRnt7+/LycvVgExISwsPDzc3NdQ6hqqrqypUrcrnc1tbW3t6+ubnZz89PZ6ddV2Bg4IYNG3bv3v348ePg4ODly5drviuTyf7xj3+kp6ebmpoGBgYuXryYvgVmdXX1F198cePGDYqioqOjX331VfUm27Zte/DgQVxc3PPfLLO5sLBw3DjS0kLV1ZVt3Mji/PevmaqlRVVX93DaNMLh9Lt4kduv31M0e++edO3a+mvXCEVZjhrVa8sWevMWiUS6dm3dpUtUVZVw2jS7NWvUm5Rv3Fi+ebP50KH9fvlF+fCh5P33G377zcTWtsf779ssWkQIUaSllUZFNeXmiubO1ddvzenTLDMzyz8Wb/V1V/3dd5IVK9iWlo47dvAnTiSEPJo7t/7atdbycu5LL/X6/HP++PFNeXn5Q4aYubv3jImRvPceYbN7b9tmFRpKCFGkppZGRTXl5dkuWVL3yy8Nqaluv/xi7uvbfO9em7BVSqV03brq775rrazk9usnvnmT/O9tg3UOSt21+M4dnS1oR/vfGTh5UhIVRdjsHitW9IiK0t4vxk8sf/Lk8k8/rTl9Ggm4o9y7d++1115TKBRnzpxxcXEJCgq6cuWKSCTy9PRUqVR04auvvvrw4cOLFy+GhobSN52WSCRhYWGaWUQtJydn/Pjxpqamv/76a2pq6pgxYwghlZWV48aNEwgEP/30U2Zmpre3d3l5eV5eXkhIiIWFBb2hdomTk1NpaalYLG5oaGhoaJBIJAMHDqyurubxeObm5omJic7OzqNHj25qarp06VJGRoaXlxe9oTo8lUp14cIFV1fX8ePHV1VV/fTTT05OTm0C1hwyRVFnzpzR1yyNbrPNtLBYLMMdafaiWa49ap3TpXNn2dnZGei0zY7w8/OjKCo5OVl7dB4eHvn5+RKJhMfjlZeXj/rf/2zaEeqcgTYD1DlYnUP4+eef+/btO3HiRM0h6JyWLu3s2bM7duyoqKhYvnz5uHHjXn75ZbqcoqjVq1ePGjVqzZo11dXVMTEx+/fvX7hwISFk7dq1Li4uBw4ckMlk9+7dUzf13Xff3b59e+fOne1yq+qqAwcs/f2dDxzQu+CpUhXPnl114ID93/5mZJut1dWFEya0lJbS/6w5fbrhzh1xejoxMSmcMKG5oIAub75/X71JY2amLDaWbW7utH+/qrn5/qRJypISQkhrTY3kvfe4rq7mPj5FU6a0VlYSQuQ7d7L1nNRovHvXzM2NbW5OCKEaG3V21yKXlyxeTCkUrXK55L333HNzCSFVR4+qWyh+553+f0x4S2XlowULqLo6Qohk+XKrqVNbq6uLQkLoSGRxceq1AaquTjvs5oIC+Zdf0hWacnJUFMXSSMCtVVVPHFRlfLx2C3qjlcsfLVhA1dcTQqRr1liOHMnWeE6PzggNTKz5yy8TQhrv3NE51Z1HFzgHTAg5e/YsfQ74hsaFFUOGDDE3N7e1tXV0dJTL5Zr1y8vLW1tbhw4dampq6ubmRgiprq6m3xo4cKDO7Es3KBQKzc3NfXx8Hj58SBe+8sortra2XC63X79+dCNsNlupVGpeKKRd4uTkJJVKCSGPHj3q379/RUWFSqUqLS11dHSUyWStra3Dhw83MzMTCoW+vr4Ff/w30wxPJpNRFDV06FD6Ycnu7u6Gp8hwswam5Wk7MjBqndOlnlvNnWW4U+0doW90bDZ7xIgRt27dSk1NHTlyZJsjfu0IDXwwnkh7CK2trcOGDaOHQK926JuWLm327Nk2Njb0cb9mNs3KympsbFy4cKFAIHBycnr33XfPnTtHCMnJySkvL1+1apVIJHJ3d3/ttdfo+teuXfv222/j4uL4fH67BNZaV8fp2dPQ6UYWi9OzZ2tdnfFt1v7wQ0tpKe/llwcUFg64f5/n4aF8+LD23LmakyebCwq4rq4vpaYOUij6/fwzXV/V2ipZskSlVPb6/HOzAQNqfvhBWVLCnzhxYFmZ0969hJCaU6dqfvihtbKS5+Ex4P79l27e1DxS10RVV6tTjr7uqJoal/Pn3a5fJyxW84MHlEJBCPGsre138aLDl1+aOjm1Pn7clJ//n8pVVS5JSS+lpbFMTForKlorKv4nktRU9dTpDFtZWkoIsRwzxu3y5UGNjW3CNmZQOlvQG21dncuPPw4sLbUcM4YQUnv2bJvunmpiWWZmbAsLqqrKmJ3OoK5xBKzzHLD66hgej9fmmTD19fXV1dVff/21ukShUNAn9gxcUyP44/sgj8dTKpUqlYrFYt2/f7+wsLCqqqquro6OoUePHt7e3hcuXLCysho5cqSVlZV2iVAoZLPZNTU1JSUlgwcPLi8vr6yslEqlYrG4vr5eKBSy/vjoC4VChUKhPai6ujqhUKguNzMz06ymzXCzBqalqanpqTpS0x41IUR7utqMi95ZhkenuSOam5tVKpWB0fXu3VulUjU3N2t/QrQjNPDBeCLtIVhZWalD4vF4dNLVOS2dHIfD0XzikFKppM8d0Ozt7ekXQqGwsbFRXS6VSvv06aOeAfX34JKSEldXV+3TH7t37541a1aPHj06aBTtormoiBAimDiR4+BACLEYM6YxO7ulpKS1upoQInzjDd4fCwA05cOHzQUFLDMzeoG3ubCQEFJ3/nzOH2dVWqRSJd3m5Mmc3r05vXtz3d0bUlO1u2YLBFRNzX/CuHdPZ3emfftaeHsTQkysrVsrK1UNDc1S6f2gIMJiCSZMMLG2Vj56RFVXs3m8/1T28SGEcHr1UpaUUApF20j696cj0Rm23erVtadP11++XDBmjOWrr/Y9fpw+Ov/PwI0YlM1f/tKmhZbSUn3RmonFFiNGEEIsX321/vLl1v/NnU87sSqlklIo2J3+f1/XSMBPy9zc3M7ObsqUKdpvGXj6YWNjo7m5OfnjeeYsFqusrOzGjRujRo2ytrYuLS0tKiqia7q7u7/00kt37tz5+eefp06dqrPE0dFRIpFUVVXZ2Ng4OjqWlpZWVFSMGTOmvLy8pqaGzu6EkNraWoHGRSLq8LhcruYPYGqfdEmnubm5gWYNTMujR4+eqiNNbUatb7q0GR6d9o4wMLqysjJCSGtrq0wms7OzMxyhgQ/G0zIwBO0PQyfXq1evwsJCV1dX+p9FRUXGXPNoZ2f36NEj9U4pKSmhz+WLRKKSkhLt+uvXr4+Jienfv/+QIUPaNfz2ZOrkRAipS0mxXb6cqFT1ly4RQkxdXVlSKSGk5vRp0dy5Zv37q48dua6uvMGDq48dK1m+vM/Roxx7e0KIYNIkp337TP74NNLLsHUXL/aoqGh68KApM1Nn12b9+zemp1ONjWwej9Orl87u/rsI/EeJ/KuvlA8fOu7ZIwgKuj9hgmaD/638x5chE5HoP5HI5c0PHjRlZdHlOsMmhLyUmlr388/S1avrf/655tQp67feUr/136b0D8rU2blNCw2pqfqibb5/v/HuXU7PnrWnTxNCTF1cNN992oltzM4mhJj974U+nVDXWII2EpfLraysVKlU9vb2CoUiJyfnqZ4keuvWrYaGhtra2hs3btCLonV1dfSqI4vFKiws1KzMYrFsbGw0j7zblDg6Oubm5tLf9x0cHO7duycUCk1MTOg/Urdu3WpqaqL76t+/v3YwPXv2VCgU9LU8jx490pfM1EM2plmd02JMR+petN/SHLWB6Xqq0WnvCH2joyjq119/9fX19fLy+vXXXymKMhyhvg+G5gANDFbfEEpKStoMQfvj0ZkFBgb+85//zM7ObmxszMzMPHDgQHBw8BO3GjRoECFk7969tbW1Eolk165d9LeNwYMHt7a27tmzp6amJjs7++wfa4nu7u7r1q1bt27dfY0TqJ1Bbt++mTxeJo8n27pVOHWqiZ1dQ0ZGrotLrqtrU26umbu7YOJEq9BQE1vb5nv38ocOzTQ3L9S4rMxh+3aOjU3NyZNVCQnCkBA2n1977lyOszPdprKkhB8UxDIxabh5M8fJ6b6/P0vPxQGC116jGhvrf/6ZEGKguzZYJiaEkJLFi3P79lU96c+dYPJkFofTcPNmjqNj4dix7D/OBegMW7JiRaaFxYPg4P8ks//NiMYMSrsFw9He8/XN7dOn4dYtNo+nmez1RWgghtqkJHpKDU8I47pGAlafA/766691/pGlicViiURy5MgRiqICAwMLCgqOHDly+PBhI29h4eTk9MMPP5w6dcre3p6+0qRPnz48Hu/YsWOaVwmVlJT8+9///te//nXr1i36qlftEkJI7969q6urnZ2dCSEikai+vt7R0ZEQwmazJ06cKJfLv/3226SkJCcnJw8PD+1gTE1Nx48fn5eXd+TIkd9//33AgAGGh9za2vrEZk1MTLSnxZiO1L1o5i3tUeucLp0Md6q9I/RNWkZGhkgk6tmzp7OzM4/Hy87O1mxHO0KdM9BmgDoHa3gIeXl5L730EofD0dlp5xcWFjZ58uS//e1vwcHBn3/++fz5842JnMPhxMbG/v777+Hh4VFRUSNGjHjrrbcIIaamprGxsbm5ueHh4TExMb169VJvMnr06NmzZ69atYq+1Pw5mfD5LWVlxMBXJZWqpazM5GlOOZuIRP3OnxdMmmQiEpnY2VmFhbmcOcPick1sbV3PneOPH28iEJhYWZkPG/bfTezsem3ZQgiRvv8+YbNdTp+2GDmSzeebiET8CRPYAoGZWOy4bx/XxcXE2rr39u3cvn11dm3zl7+YWFlV/OMfhBAD3bVhu3y5uY8P29LS7oMP6CVcA7gvveQYH6+OhMXjEUJY5uac3r11hN2/v4mdHcvUlNuvn8MXX5j/7/X8xgxKuwUD0Zo6OvbcuJHN5/M8PfueOMHR+NgQQnRHqCcGqrHx8e7dFt7e/Ke5HwgjWE/8pm+ARCKhf8fyzORyuTGLXS8A/ZMbc42THADGu3Tpkq2tLX1Q+CLp/D+YnZ09TP+f7C4nPT1d55dU9c+QiJ7Lmui3nvZnSAyq/u674lmznPbvt54+vUM7aq2qkn/5Zfmnn7LNzQdIJOzu9XdPumbN43373K5caZcl6A5NUt3zHDDAC6NUKouKioqLi318fJiO5c+F26+fOCurOTtbpWepn2ViwvXw6Co34iCEWL35ZkffBivb1pbSuHbB9r33uln2JYT0+vzzXp9/znQURkECBnhGSUlJFRUVhBAbG5sJEyZ0mx/+diEmAoH5K68wHUVXYu7t3ZCWplIquW5uNgsW2C5bxnREf2pIwP8xa9YspkOALmby5MlMhwDwdFzPnWM6BPivrnERFgAAQDeDBAwAAMAAJGAAAAAGMJyA29wDDwCMp1QqObp+gWNubm7k/UQ7P4VCgR8HQnfFfALWvJ8fABhPqVTqfLKIpaVlm8eTdF0NDQ3t9fAGgM6G4QRsaWnZ0NBQU1PTVW7aB9AZKJVKhUJRVVWl8+jQ3t5eLpdLJJIuvbykUCgeP3788OFD7Vt8A3QPDN8Ji9bU1NTQ0IAcDGAkDofD5XINr81WVVXJZLKum4PNzc35fD6yLzCr+98Jy8zMzMzMjOkoALoVa2tra2trpqMAAL1wFTQAAAADkIABAAAYgAQMAADAACRgAAAABiABAwAAMAAJGAAAgAFIwAAAAAxAAgYAAGAAEjAAAAADkIABAAAYgAQMAADAACRgAAAABiABAwAAMAAJGAAAgAEMP47wwIEDOsubmpoUCoVIJMJbnectQsiYMWNcXV11vgUAAE+F4QRcXl6us7y5ubmhoUHns8TxFlNvEUKampp0lgMAwNNiqVSqZ95YIpHY2tq2YzQAAACdh1wud3Bw6KDGcQ4YAACAAUjAAAAADEACBgAAYAASMAAAAAOQgAEAABiABAwAAMAAJGAAAAAGIAEDAAAwAAkYAACAAUjAAAAADEACBgAAYADDD2OgKKq+vr65udmYyjwej8PhcLlcFovV0YEBAAB0KIYTcF1dHYvFMvKJDo2NjQqFQqlU8vn8jg4MAACgQzG8BK1UKgUCgZGVeTyeSCTCE/EAAKAb6JLngFtaWpgOAQAA4Ll0yQTM4TC8cg4AAPCcumQCfmZ///vff/zxx+dpITg4uLKyUrv82LFj8+fPl0gkz9O4kZRK5XvvvXfv3j0j62vHrF1CUdSCBQvKy8vbLcpnpW+G26u+Me2kp6fPnDkzNTX1xXQNAH9O3SoBp6amTp06taamhv6nVCqdOnXqo0eP6H9eu3bN1NQ0ODi43ft9+PDho0ePPv/88927d1MUZeRWCQkJp0+ffobu4uPjw8PDX3rppWfYVh82mx0fH29vb6/91r179zZs2BAaGhoSErJhw4bHjx+3Y7+dUH19/alTp/bu3XvixAn1ZwkAoN11qwTs4+Pj4+Ozb98++p9ffvnlm2++6eTkRP9z5MiRy5Yt64h++/Tps2LFCjs7u02bNrHZxk5pcXGxkReUZWVlrV27Vv3PJUuWjB07lhDyww8/xMfHP0PAxktLS4uOjvbw8Pjqq68OHTo0atSou3fvdmiPjLO0tNywYYOlpeX//d//CYVCpsMBgG6rWyVgQsjSpUsvX76cn5//yy+/lJeXv/3223T52bNn586dGxwcHB0dXVVVRRfW1NRs3rw5LCwsNDT00qVLbZoKDg6+cuXK3Llz33jjja+++kpdnp2dPW/evJCQkH/84x8GGte3OS06OjopKWnXrl0BAQF1dXXBwcHnz5+fNm1aYmJiTU2N5mF6dHT02rVr/fz8CCEVFRUbN24MDQ0NCAgICAg4ePCgt7f3Ewei9sUXX6xatUqpVOochfaCqlKp3LJly7vvvjt9+vRevXoJhcKgoCB/f3/NSN56663du3fTba5bt+7cuXP0tkuWLDl58iT9Ojw8XCaT6dyE7lc9dn3RqukcqTF75IMPPjh16hT9bn19/ZQpU/Qd3cpksg8//DAkJCQyMjI/P18dpJEfBgAAI3W3BCwSiRYuXLhz5849e/asWrVKfblWYWHh+vXrExISWCzWsWPH6MKPP/7YzMwsPj5+y5YtjY2N2q0lJydv3749NjY2KSkpKyuLLjx37lxcXNz27dt/+umnO3fu6Gtc3+a02NjYyZMnL126NCUlhf5Z882bNw8cOBASEqIdxpo1a4KDgymKWrdunbOz84EDBw4cODBw4MDQ0NAhQ4YYMxBCyPHjx+/evbtx40ZTU1Odo9B29+5dlUoVGBjYplwzku3bt2dmZh46dIgQ4uPjk56eTgiprKyUy+UZGRmEkIcPH1pZWdna2urchKY99jbRqukcqTF7ZOLEiZcvX6brX7161dvbW+fRLUVR69ev9/DwOHr0aFhYWExMjPqcgpEfBgAAI3W3BEwImTRpUlFRUe/evQcMGKAuXLp0qVgs5vP5AQEBxcXFhJDc3FyZTBYVFWVtbS0WiydNmqTd1MyZM0UikVgs9vb2LigooAtnzJhhY2Pj5ubm5eX14MEDnY0b2FyfkJAQwzcYycnJaWxsnDdvnkAgcHR0jIyMPHPmjJED+e23377//vvPPvtM3YX2KLSVl5c7OjoaE0lycjIhxNfXl066qampU6ZMyc3NValUd+7c8fHx0beJzrFrR0vTN1Jj9oifn19eXl5tbS0h5OLFixMnTtQ3yc3NzbNnz7awsAgMDGSxWA8fPqTfMvLDAABgpG74e56jR4++/PLLv//++507dwYPHkwXXrp0KSUlpaioqKyszMvLixAikUhcXFxMTEwMNKW+KEkgEKiPt3r16tWmULtxA5vr07NnT8MVpFKps7Oz+jacDg4OcrncyIHs3bt35syZmncc0x6FNgsLi4qKCmMioa/McnR0NDU1LSkpuXHjxowZM7KysgoLC2/fvh0UFKRvE51j146Wpm+kxuwRHo83YsSI69evjxw5sqCgwNfXV+eQpVJpcXFxQECAukQul7u4uBCjPwwAAEbqbgn4/v37x44d27t3b2ZmZlxc3L59+0xNTTMzM3fv3h0VFeXi4pKRkUEvRYpEonb51ZDOxp+BOq/weLzm5ubm5mYul0sIUScqOzu7kpISlUpFpzGJREKnBGMGsmbNms2bN7u7u7/88svGhzRkyJCKior09PRhw4ZpluuLhBDi7e1969atoqIi+qAwIyMjNzd39erVubm5+jbRHLvhaI3cZfr2SGBg4KlTpyiK8vf31/d9xcbGZuDAgTt27HhiLwAAz6lbLUG3trZ+/vnnc+bM6dGjx7hx43r16nXw4EFCiFQqpRctCSEpKSl05UGDBrW2tsbHx9fU1OTk5GiuiD4VnY0bg8/nF2ZUiesAACAASURBVBYWav9sicvlOjo6fvvttw0NDYmJiWVlZXS5h4cHIeSbb76pra0tLS3ds2fPlClTjByIWCz+4IMPNmzY8FTLpFZWVnPmzNm0adP58+erqqoqKysTExMvXryoLxJCiK+vb2JiIr347+XllZyc7OTkxOVyDWxifLRG7jJ9e8TLy6ugoODChQv61p8JIZ6enhUVFYmJiQ0NDUbPEwDAs+hWCfjw4cMcDkd9Lc977713/PjxwsJCPz8/kUg0a9asTZs2+fj40O+amppu3rw5Ly8vIiLis88+e+IKsD46GzdGUFBQRkZGWFiYQqFo89bKlSvPnz8fHh4ukUgGDhxIF3I4nM2bN+fn50dERERHR/v6+oaFhRk/kJEjR0ZERHz44Ycymcz4IGfMmLFs2bLjx4/PmDFj8eLFhYWF3t7e+iIhhAwbNqy4uPiVV14hhPTr108mk9FzYmAT46M1cqT69gibzfbz86uurnZzc9PXL5fLjYmJSU5Opi+0jouLM36uAACeCkulUj3zxhKJxMgHGelTX19vYmLC4/GMrN/Y2NjS0oKnIcGz2bZtW58+fcLDw5kOBAC6Brlc7uDg0EGNM3wEzOFwjF/ra2xsrK+vp8+MdjZyuXzp0qVMRwH/pb1Hbt++ffXqVZ1XiWuLjo4uKirqmNAAAAhh/AhYpVLV19cbeUMoMzMzLpfbORMwdHIxMTFZWVmrVq16qtMEAPAn16FHwAwnYAAAgE6rOy9BAwAA/DkhAQMAADAACRgAAIABSMAAAAAMQAIGAABgAMP3gm5paZFIJHV1dcZUtrCwEAqF1tbWxj/0HgAAoHNiOAFLJBLtGzHqo1AoGhoa6uvrnZ2dOzQqAACAjsZwAjby2FdNpVLRj3QFAADo0rrkWi6eVAMAAF1dl0zA5ubmTIcAAADwXLpkAn4GwcHBlZWVbQpTU1P37t1bV1e3YsUKpVLJSGDPQOdYnnbD9PT0mTNnpqamtmNf33//fWxs7DMExpRnnkkAgOfXDRPwvXv3NmzYEBoaGhISsmHDhsePH+ur6eXl9eDBg5kzZ44bN87U1PRFBsms+vr6U6dO7d2798SJEzU1NUyH084SEhJOnz7NdBQAAE/A8EVY7S4tLe2TTz6ZPn360qVLLSwsrl69evfuXX9/f52V2Wz2p59++oIj7AwsLS03bNhACPm///s/pmNpf8XFxa6urkxHAQDwBN0qASuVyi1btrz77ruBgYF0SVBQkPrd7Ozsffv2yeXygICAqKgoQsjZs2ePHj0qk8kGDhz40UcfWVtbE0KCg4PXrl27b9++ysrKoKCgyMjINr0EBwevXLny66+/VigUy5YtEwqFf//73xsaGt5+++3p06c/VbNFRUWxsbH5+flisXjQoEG1tbXR0dFtuqupqdm5c2daWhpFUStWrKC/TGiPpaKiYufOnRkZGaampuPHj1+wYIGBY3qZTBYXF5edne3o6Lhy5UqxWGxg4Np9aZJKpbGxsTk5Oa6uroMGDVKXGxOPzonSNydGxhwdHZ2enk4I2bVr1w8//MDn8592JrWj+uCDD8aMGTNlyhRCSH19/fTp0w8fPiwUCvVNLwCAMbrVEvTdu3dVKpU6+7Zx7ty5uLi47du3//TTT3fu3CGEFBYWrl+/PiEhgcViHTt2TF0zOTl5+/btsbGxSUlJWVlZ2k2lpqbu2bNn+fLlX3zxxbFjx3bu3PnJJ5/s37+fPqFoZLMURW3atMnb2/vYsWORkZEXLlzQGfbHH39sZmYWHx+/ZcuWxsZGnWOhKGrdunXOzs4HDhzYvn17ZmbmoUOH9M0SRVHr16/38PA4evRoWFhYTEwMRVEGBq49b22aGjx4cEJCQmRkZEpKirrcmHi0J0rfnBgfc2xs7OTJk5cuXZqSkqKZfY2cSZ1RTZw48fLly3T9q1event7I/sCwPPrVgm4vLzc0dFR37szZsywsbFxc3OjT/0SQpYuXSoWi/l8fkBAQHFxsbrmzJkzRSKRWCz29vYuKCjQbio8PJzP548fP97U1HTatGkikcjT07Nv3750I0Y2m5OT09zcPHv2bD6f7+Hh8dprr2l3lJubK5PJoqKirK2txWLxpEmTdI4lJyensbFx3rx5AoHA0dExMjIyOTlZ3zyo+7WwsAgMDGSxWA8fPjQwcO1502xKqVTSQ/D09AwODlaXGxOP9kTpm5OnjfmZZ1JnVH5+fnl5efQP0C9evDhx4kR9vQAAGK9bLUFbWFhUVFToe7dXr170C4FAQB8AXbp0KSUlpaioqKyszMvLS13T3t6+Tc02bG1t1T326NFD/bqpqcn4ZqVSaZ8+fVgsFl0oFArlcnmbjiQSiYuLi4mJieGxSKVSZ2dndVMODg4GLj2TSqXFxcUBAQHqErlc7uLiom/g2vOm2ZTmXckEAgE9/0bGoz1R+ubkaWPWZuRM6oyKx+ONGDHi+vXrI0eOLCgo8PX11dcLAIDxulUCHjJkSEVFRXp6+rBhw55YOTMzc/fu3VFRUS4uLhkZGeo1xudkfLMCgUAmk6n/KZVKteuIRCKJRPLETu3s7EpKSlQqFZ26JBKJOi1ps7GxGThw4I4dO57Y7BMJhcLy8nL1P0tLS42PR+dE6ZuT54/ZyJnUt/sCAwNPnTpFUZS/v792FgcAeAbdagnayspqzpw5mzZtOn/+fFVVVWVlZWJi4sWLF3VWlkql9GokIUR98vL5Gd+sp6enTCY7ceJEQ0NDWlqazlQ9aNCg1tbW+Pj4mpqanJwcfQvLHh4ehJBvvvmmtra2tLR0z5499BVD+vqtqKhITEx8/huKDRo0qKKi4vjx4wqFIjU19cqVK8bHo3Oi9M3JU8XM5/MLCwvVJ4nVoRozk/p2n5eXV0FBwYULF7D+DADtpVslYELIjBkzli1bdvz48RkzZixevLiwsNDb21tnTT8/P5FINGvWrE2bNvn4+LRXAMY3a2lpuWnTph9//DE8PPzMmTOTJk3i8Xht6piamm7evDkvLy8iIuKzzz7r2bOnzqY4HM7mzZvz8/MjIiKio6N9fX3DwsL09cvlcmNiYpKTk8PCwkJDQ+Pi4p5hmDRzc/ONGzeeOXMmPDw8KSnp9ddfNz4enROlb06eKuagoKCMjIywsDDN53wYOZP6dh+bzfbz86uurnZzc3v6eQIA0IGlUqmeeWOJRKI+G/psHjx4YPzTkGgWFhb0yb9uZvPmzWKxODw8nOlAOpFONSfbtm3r06dPJwkGAF4MuVzu4ODQQY0zfAQsFArVV9wYif61aHuRy+VLly5txwafoVmFQpGcnHz9+vXx48e3eyQGREdHFxUVvcgejcfUnNC0d9/t27evXr2qvnYaAOD5MXwETFFUSUmJkU8YNDc3F4lE7ZuAmfX+++///vvvbDbb1dV18eLFnp6eTEfEvE44JzExMVlZWatWrWrHUxUA0CV06BEwwwkYAACg0+rOS9AAAAB/TkjAAAAADEACBgAAYAASMAAAAAOQgAEAABjA8L2gW1paJBJJXV2dMZUtLCyEQqG1tTWbje8NAADQtTGcgCUSifF3wlIoFA0NDfX19ZpP4AEAAOiKGE7ARh77qqlUKiPv2gEAANCZdcm13Od/jA8AAACzumQCNjc3ZzoEAACA59IlE3DHCQ4OrqysNL6826MoasGCBeXl5UwH0oG+//772NjYZ96c/mzomyjjG/8zTDUAaGL4HHC7W7RoUUFBAf3azc3tn//8JyNh7Nix4+LFiwkJCSYmJu3VZkJCgqWlpfqZu2q5ubnx8fF5eXlcLveNN96YNWtWe/VICGGz2fHx8YYD0OnAgQMWFhZ/nof3aU7UU1HP6rO1sH//fqFQOG3atGfoGgCY1Q2PgLdu3ZqSkpKSksJU9lUqlRcvXnR2dr527Vo7NltcXNzU1NSmsK6ubs2aNZMnT/7uu+/+8Y9/VFVVtWOPxgSg06NHj27cuBEWFtZxwXQbxs+qTrNmzUpKSqqoqGjHkADgxeiGCVhbcHDwlStX5s6d+8Ybb3z11Vd04dmzZ+fOnRscHBwdHa2Zt+7du7dw4cIpU6b89a9/rampadOUTCb78MMPQ0JCIiMj8/PzdXZ3+fJlsVgcGBiYlJSkLiwqKlq+fHlQUNDy5cv37NmjXpbU2aB2wNHR0UlJSbt27QoICNC8dFwul7e0tPj7+5uZmTk6Oi5fvtxAszU1NZs3bw4LCwsNDb106VJNTU1wcLC6qejo6F9//ZXu/fz589OmTUtMTCR/LLFqBrBq1apTp07RW9XX10+ZMqXNRB0/fnzatGn0k57bdEoIqaio2LhxY2ho6FtvvbV7926lUqkedUpKSkRERGho6IULF27cuDFz5szQ0NCjR48aWUHnPtW596VSaXR0dHBw8LvvviuTybR3YnR09JkzZ9STOXXq1ObmZn2fGXVH9HkKfY1rb95mt6pbMDBFbcZiYmIyZcqUkydPag8BADq5P0UCJoQkJydv3749NjY2KSkpKyuLEFJYWLh+/fqEhAQWi3Xs2DF1zZMnT27cuPHQoUMURe3Zs0ezEYqi1q9f7+HhcfTo0bCwsJiYGIqitPtKSkoaM2aMn5/fzZs36UMTiqI2bdrk7e197NixyMjICxcuPLHBNgHHxsZOnjx56dKlKSkpfD5f3Zezs7OLi8vHH39cWlr6xDg//vhjMzOz+Pj4LVu2NDY2GpiumzdvHjhwICQkRF2iGcDkyZMvX75Ml1+9etXb21soFGpunpaW5uvrS79u0ylFUevWrXN2dj5w4MD27dszMzMPHTqk3jA1NXXPnj3Lly//4osvjh07tnPnzk8++WT//v3qE/CGK+jbp20mk56fwYMHJyQkREZGpqSkaM9AYGDgL7/8Qr++ePHi2LFjuVyuvvY1GWhce3Odu9XwFGl/kkeMGHHjxg0DexMAOqdumIBXr14dEBAQEBCwe/dudeHMmTNFIpFYLPb29qZPEi9dulQsFvP5/ICAgOLiYnXNiIgIBwcHKyurhQsXXr16VbPlnJyc5ubm2bNnW1hYBAYGslishw8ftuldKpXevn179OjRVlZWnp6eZ8+e1dyQz+d7eHi89tprT2xQO2Cd2Gx2XFxcv379lixZsm3bNvrgWGezubm5MpksKirK2tpaLBZPmjTJwByGhIRopvk2/Pz88vLy6B9kX7x4ceLEiZrvKpVKpVJJb67daU5OTmNj47x58wQCgaOjY2RkZHJysnrb8PBwPp8/fvx4U1PTadOmiUQiT0/Pvn37qneQ4Qr69mmbyczJyVEqlfTu8PT01FwG0BxjVlYWPZ/qMeprX5OBxo3ZnG7BwBRpfzDs7e11HsQDQCfX3S7CIoRs3bp1+PDhbQrt7e3pFwKBgD74u3TpUkpKSlFRUVlZmZeXl7pm79696Rcikaiurk6lUtFLqYQQqVRaXFwcEBCgriyXy11cXDQ7OnfunKenp5WVFSHE39//22+/jYiIkEqlffr0UbcjFArlcrnhBrUD1ofH4/3lL3958803d+3atXLlyp07d+pstrq62sXFxciLwnr27Gm4xxEjRly/fn3kyJEFBQXqg11aXV2dOnlLJJI2nUqlUmdnZ/VUODg4PH78WP2ura0t/cLCwqJHjx7q1+qzpIYr6NunbSaTjkH9rkAg0D6Hyufzhw8ffv369cGDB9fW1g4aNMhA+5oMNG7M5k+cIp0fDB6P19jYyOPx9LUJAJ1QN0zAxsjMzNy9e3dUVJSLi0tGRoZ6QZUQUl1dLRKJCCFFRUU9e/ZU/x0khNjY2AwcOHDHjh36mqUo6uzZs+Xl5ZrJLyMjQyAQaB6jSKVSIxs0npWV1YcffhgeHp6fn6+z2fT0dIlEolnC4/Gam5ubm5u5XC4hRPOv/BPzdGBg4KlTpyiK8vf3b1PZwsJCfXtRkUjUplM7O7uSkhL11xqJRKLOKM/JwD5tQygUav7aR3P1XtP48eNTUlIeP35M700j29fXuPHhPcMUIfsCdEXdcAnaGFKplF4UJYS0OQX4zTffVFZWSqXS3bt3BwUFab7l6elZUVGRmJio71ZcN2/erKur++GHH1L+4O/vf+bMGU9PT5lMduLEiYaGhrS0NPUf3yc2qInP5xcWFrY565yTk3Po0CG5XK5UKlNTU5ubm+3s7HQ2O2jQoNbW1vj4+JqampycnOTkZC6X6+jo+O233zY0NCQmJpaVlRkfgJeXV0FBwYULF9qsPxNCzMzMCCF0Dtbu1MPDg57k2tra0tLSPXv2TJky5YljN4aBfdrGoEGDKioqjh8/rlAoUlNTr1y5orPayJEjc3Jyrl27Ro/RyPb1Na5vc+3d+rRTVFFRYWNjY6ACAHRO3TABq88BBwQEtLa26qzj5+cnEolmzZq1adMmHx8fzbd8fX0XLVq0bNkyDw+P6dOna77F5XJjYmKSk5Ppa3rj4uLaNJuUlBQcHKx59jQiIuLKlSutra2bNm368ccfw8PDz5w5M2nSJPp45YkNagoKCsrIyAgLC9N8fIWjo+ODBw/mz58/derUQ4cObdq0yc7OTmezpqammzdvzsvLi4iI+Oyzz+hF5pUrV54/fz48PFwikQwcONDwxGoGwGaz/fz8qqur3dzctGt6eXmlpqbq7JTD4WzevDk/Pz8iIiI6OtrX17e9fq1kYJ+2YW5uvnHjxjNnzoSHhyclJen7ZTOXy/Xy8lKpVPRZCSPb19e4vs21d+vTTtFvv/1meLwA0DmxVCrVM28skUjU5+SezYMHD4x/GhLNwsKizWnXLmfz5s1isbir36Ri27Ztffr00TmKoqKiuLi4L7744sVH9WdDUdSSJUtiYmIMn7YHgGcjl8sdHBw6qHGGj4CFQqHmSVZjWFtbd1AwL4BCoUhOTr5+/fr48eOZjuW53L59++rVq/oupe7bt+/w4cPx49QX4PDhwxMmTED2BeiKGD4CpiiqpKTEyCcMmpubi0SiLpqA33///d9//53NZru6ui5evNjT05PpiJ5dTExMVlbWqlWrsPIJAN1bhx4BM5yAAQAAOq3uvAQNAADw54QEDAAAwAAkYAAAAAYgAQMAADAACRgAAIABDN8LmqKo+vr65uZmYyrzeDwOh8Plcp/2p8MAAACdDcMJuK6ujsViGflbpsbGRoVCoX7UHQAAQNfF8BK0UqkUCARGVubxeCKRSP1kOgAAgK6rS54DbmlpYToEAACA59IlEzCH8yd9jDEAAHQbXTIBd5zg4ODKysoXv21n8P3338fGxjIdBQDAn0X3TMA7duwIDw/XfBjwokWLbt26xWBIAAAAmrphAlYqlRcvXnR2dr527RrTsQAAAOjWDU+mXr58WSwW+/n5JSUl+fn5GahZU1Ozc+fOtLQ0iqJWrFjh7+9PCMnOzt63b59cLg8ICIiKiiKEyGSyuLi47OxsR0fHlStXisVifdvSvvjii6Kios8++8zU1NRAXxUVFTt37szIyDA1NR0/fvyCBQvo+sHBwStXrvz6668VCsWyZcuEQuHf//73hoaGt99+e/r06cZUOHv27NGjR2Uy2cCBAz/66CP6AY7BwcFr167dt29fZWVlUFBQZGQkIUQqlcbGxubk5Li6ug4a9P/t3XtQVOf9x/Fn14VFXBYWERXBegloBG9FbDJBGQtRRGwbsa0ItdEkjVivQ2JsrRrjNY7UkWpTamxN1NZbtKFGNI4a06CTGLwLpgajWJcFdhERgWVvvz+2vx3KTRMuD+D79dfhOd/znO/ZzOTjeXb3bJir27///e8HDx40m80TJ050VgIAWlYnvAPOysoaM2ZMZGRkTk6O0WhsonLZsmVqtXr79u0bNmyorq52Dh47diwtLW3Tpk0nT568fPmy3W5funTpkCFD9uzZk5CQsGrVKrvd3tixQoiDBw9euXJl5cqVtdO3fr3dbv/tb38bFBT0/vvvb9q06erVq7t27XIVnzt3LiMjY968eenp6QcOHNi6devq1at37Njheo+56YKbN28uXbp07969CoXiwIEDrmmPHz++adOmjRs3ZmVlXbt2zXlpw4YN27t3b0pKyokTJ5xl169fP3z4cEZGRmZmJukLAK2kswWwwWC4dOnSc8895+3tHRoaevTo0cYqr1+/XlJSsmDBAh8fn+Dg4AkTJjjHExMTfX19Bw4cGB4efuvWrby8vJqamhkzZnh6esbExCgUioKCgsaO/fzzzz/44IP169fXeVRI/fq8vLzq6uqZM2d6eXn16dMnJSXl+PHjrvqpU6dqNJof/vCHbm5uU6ZM0el0oaGh3/ve9+7cufM4BXPmzAkODtZoNNHR0a5DhBDTp0/X6XTBwcGjRo3Kz8/Py8uzWCwzZszQaDShoaGTJk1ylimVysrKSpPJ1AL/PQAAjehsS9DHjh0LDQ319vYWQkRFRe3bty8pKanBR1fq9fp+/fp16dKlznivXr2cG15eXtXV1QaD4c6dO9HR0a4Ck8l0//79Bo/dtm3b9OnT6z/Yq/65DAZDUFCQq7GAgIDS0lLXXtcMnp6efn5+rm3XQ0iaLjh9+vSJEydu375dVFQUHh7umtbf37/OpQUFBbn2enl5ORcMQkJCXnnllWXLlgUGBi5cuDAwMLD+qwcAaKZOFcB2u/3o0aPFxcW18/LixYsjR46sX6zT6fR6/SPn9PX1ffrpp7ds2VJ78MKFCw0e+8Ybb6xbty4kJGTo0KFNn6tHjx537951OBzODNbr9a50bKarV6/+6U9/WrBgQb9+/S5evPivf/2rsUqtVltcXOz6s7Cw0LUdFxc3YcKE3bt3r1y5ctu2bS3SGACgtk61BJ2Tk1NRUfHhhx+e+H9RUVFHjhxpsDgsLMxms23fvr28vDwvL6/2CnBtoaGhRqMxMzOzqqrqkccGBwcvXrx4+fLlt27davpcQ4YMEUL89a9/ffDgQWFhYUZGxuTJk1vkRTAYDM6FbiGE623dBoWFhRmNxoMHD1ZWVp47d+6zzz6rvVehUAQHB/PgTwBoJZ0qgLOysiZNmlT7/dekpKTPPvusvLy8frGbm9u6deu++uqrpKSk9evX9+zZs8E53d3dV61adfz48YSEhBdeeCEtLa3pY5999tmkpKQlS5aUlJQ0cS6VSrVu3bobN24kJSW99tpro0ePTkhIaJEXITIyUqfT/eIXv3jrrbciIiKaqOzatevKlSuPHDkyderUrKys+Ph453hOTs4LL7wQFxe3Y8eOxYsXt0hXAIA6FA6H4zsfrNfrH/OHjBrz8OHDLl26eHh4PGZ9dXW11Wrl15AAAG3AZDIFBAS00uSS74BVKlXtpd2mVVdXP3z40N3dvVVbAgCgDUj+EJa7u7vFYnnMb7yo1WovLy8CGADQCUgOYIVCodFoWFIGADxpOtWHsAAA6CgIYAAAJCCAAQCQgAAGAEACAhgAAAkIYAAAJCCAAQCQgAAGAEACAhgAAAkIYAAAJCCAAQCQgAAGAEACAhgAAAkIYAAAJCCAAQCQoFkBrFKprFZrS7UCAED7YbVaVSpV683frAB2d3e32Wwt1QoAAO2H1WpVq9WtN3+zAtjDw4M7YABAp2Sz2dp1ANvtdrPZ3FLdAADQHlRUVNjtdg8Pj9Y7hcLhcDTneJvNVlRU5OXlJYRQqVRKJZ/qAgB0VFar1Wq12mw2h8PRvXv3Vj1XcwPYqayszG63WywW3hIGAHRcKpVKrVar1epWvfd1apkABgAA3worxgAASEAAAwAgAQEMAIAEBDAAABIQwAAASEAAAwAgAQEMAIAEBDAAABIQwAAASEAAAwAgAQEMAIAEKonnfv31100mkxBCq9UOGjRo2rRpOp1OSicnT568cOFCamqqlLMDAJ5Aku+Aw8LCFi9e/JOf/CQ3N3fr1q2y2vj666/LyspknR0A8ASSeQcshPD29h48ePDgwYPLysoyMzPLy8u1Wu2hQ4fOnj17//79gICAmTNn9u3b12w2p6SkxMbGXrp0qUePHgsXLmysJi4u7ubNm/n5+aGhoYmJiTt27MjPz3/qqadSUlK6desmhDCZTDt37rxx44ZOp0tMTAwNDd24cWNubq4QYtasWS+++OLYsWPr19RvQO7rBgDo6NrLe8AqlUoIoVAohBBms/nVV1/93e9+V1VVtXv3blfNmTNnZs+e7Qy/xmqys7MnTpwYFxd38eLFNWvWREZGJicn5+bmnj59Wghhs9nS0tIcDseKFSvCw8O3bt1aUVExa9asESNG9OzZc82aNREREQ3W1G8AAIDmkB/ADofj9u3bp0+f7t+/v5eXlxBi2rRpAwcODAoKioiI0Ov1rsrRo0cHBQU5txureeaZZ4YOHTp58uQuXboMHDjw2WefjYyM9PPzu3v3rhAiNzfXYDBMmzbN399/8uTJZrP52rVrvr6+Hh4eKpWqd+/eXbt2bbCmfgMAADSH5CXo7Ozs7OxsIUTfvn1/9atfCSEcDsenn356/vx5g8FQWlrqvDN26t69u3OjiRpfX18hhFKp7Nq1q6teo9HU1NQIIUpKSoQQS5cuddXfu3evTktN1LgmBACgmSQH8NChQ+Pj43U6Xffu3Z3rz1988cWuXbtSUlKeeuqpU6dOHT161FWsVP73fr2JmtqcE9bm4+MjhFi1apWfn59zxBXeDoejiRqr1Vq7AQAAmqmFE8UVY49Jq9UGBwf7+fm5wtJkMimVSrVaXVhYePbs2QaPepyaBj399NNeXl579+7V6/X/+c9/du3a1aVLFyGEp6enyWS6ceOGzWZrrAYAgBbUMnfAZWVldrvdYrHYbLY6u/z9/Zs40OFwOG8uXZ555pmLFy+mp6cPGDAgLCwsOzvbarU6a+x2u3PjcWpqbzscDueJ3Nzc5s2bt2fPnrfffrtbt27h4eHOgrFjx167dm3Dhg0zZ84cPXp0/Zr6kzeouLj4W75yAIB2RKVSubu7e3h4eHh4tPa5FN/2nrWO2OqfRQAADJBJREFUmpoao9Go1WodDodKpWKRFgDQcVmtVpvNZrFYHA6HTqdr1RXQ5gawXq/no0kAgE7GbDZXVFQEBAS03imaFcBlZWUqlcrNza0FGwIAoD2wWCxWq9X5ydzW0KwVY7vd3swbaAAA2ieHw2G321tv/mYFsMViqf0dXAAAOg2VSmWxWFpv/mYFsM1m41NXAIBOSalU1v9qT0vO33pTAwCAxhDAAABIQAADACABAQwAgAQEMAAAEhDAAABIQAADACABAQwAgAQEMAAAEhDAAABIQAADACABAQwAgAQEMAAAEhDAAABIQAADACABAQwAgAQEMAAAEhDAAABIQAADACABAQwAgAQEMAAAEhDAAABIQAADACABAQwAgAQEMAAAEhDAAABIQAADACABAQwAgAQEMAAAEnSAAD516tSPf/zjjIyM7zzDxo0bp0+f7tw+f/78T3/6U71e32BlVVVVdHT0Bx980MRsTdS88847r7/+usPh+M6tAgCeEO0lgOfPnx/9v2JjY4UQJSUlf/vb37Zv356bm5uTk/Ntp126dGl0dHRWVlZRUdGiRYuMRuOmTZvWrl0bEBDQChchXn31VXd396bzGwAAIYRKdgP/NWfOnAcPHpSUlKSlpSUmJg4fPlypVAohevTosW3bNiHE5s2bv8O0K1assNls6enpFy9eXL9+vVqt3rlzZwu3XotSqVyzZk3rzQ8A6DTaSwAPHjxYCFFQUCCEGDBgQEREhHO8qKho8+bNV69e9fPz+/Wvfx0eHl5VVRUfHz9jxoz8/PycnJzAwMDU1NSQkJA6E966dev3v//9N998Exoa6uHhoVAo1Gq189g5c+bExcXFx8cnJydfv379ypUrQ4YMWb58uVardR5bXl6+ZMmSy5cvDxo0aPny5TqdrrG233333X379m3cuHHYsGGNtTpt2rS8vLy8vLxRo0bNmTMnLS0tLy/PeUYvL69WeTUBAO1ee1mCbpDVan3jjTfsdvs777wzduzYN998s7y83LkrMzMzMjJy9erV1dXVb731ls1mq32gxWJZsmRJTU3N6tWrx4wZc+bMmQbn/+ijj+Lj41NTUy9durR//37XeGZm5sSJExcuXHjlypUDBw401t6XX365Z8+e2bNnDxs2rIlWjx07lpiYmJiYeObMmblz58bGxs6bN+/8+fOHDx9u7gsEAOiw2nUAnz9//s6dOykpKX369ElKSqqurv7yyy+du6Kjo8ePHz9y5Mhf/vKXhYWFt2/frn1gTk5OSUnJvHnzhg8fPmnSpMjIyAbnHz9+/JgxY6KjowcNGpSfn+8aj46OjoqKGj9+fP/+/W/dutXgsaWlpevWrYuOjp4yZUrTrcbExERERCQnJ6tUqtDQ0JiYmNjY2F69ejU2MwDgSdBelqAbZDAYhBCzZs1yjRiNRueG61NU3bt3F0JUVFTUPrC4uFgIERQU5PzT29u7wfmdxwohNBpNVVWVa7xXr16uA81mc4PHHjly5MGDB8nJyY9stUePHkIIpVLp6enZs2dP56BWq62pqWnswgEAnV67DmBfX18hxLvvvutKRDc3N4vFIoS4f/++c8R57+sKNieNRiOEKCoqcr6tW1hY+K3Oq1AoHlmTkJBw4sSJNWvWbN68Wa1WN9EqAAD1tesl6JEjR3p7e2dkZNy+ffubb75JT09Xqf77L4YPP/zw7Nmz586d27179/Dhw+sEcHh4eNeuXbds2XL16tX9+/dfuHChxXvr2rXrsmXLCgoK0tLSmm4VAID62nUAd+vWbe3atQ8fPkxNTV25cqXrU8pCiOjo6J07d65cuXLAgAFLly6tc6C3t/eKFSsePHiwePHi69evR0VFtUZ7AwYMmDt37okTJ/bt29dEqwAA1KdozmOb9Hq9623UNuP6KlFCQkIbnxoA8EQxmUyt9OAm0c7vgF1eeeWVTz75RHYXAAC0mI4RwEql0vlgLAAAOoeOtwQNAEDbYAkaAIDOhgAGAEACAhgAAAkIYAAAJCCAAQCQgMcldlRms7mystJut8tuBADaF5VKpVKpunXrJruRRyCAO6SysjJ3d3d/f3++Hg0AdVgslocPH5aWljp/JqfdIoA7HrPZ7O7urtPpZDcCAO2Rm5ubj4+PUqk0m81qtVp2O43i/qnjqaysbOwXjgEATi+//HLtH3pvhwjgjsdut7PyDABN2L9/vxDCZrPJbqQp/H8cAAAJCGAAACQggAEAkIAABgBAgg4QwBaL5eWXX75z506nPykA4MnRrN8DBgAA300HuAMGAKDzIYABAJCAAAYAQAICGAAACQhgAAAk4NeQAKATMhqNBoPBYrHIbqQuT09PjUbTp0+fJmrabfOP9DhX58LXkACgs7l27Zqnp2dgYKCbm5vsXuqqrKw0mUwmk2nEiBENFrTn5h/pkVdXGwEMAJ2K0WisqKjo16+f7EaacvfuXbVa7efnV2e8QzT/SI1dXR28BwwAnYrBYHjMJVCJ/P39DQZD/fEO0fwjNXZ1dRDAANCpWCyW9r946+bm1uBbvB2i+Udq7OrqIIABAJCAAAYAQAICGAAACQhgAAAkIIABAJCAAAYAQAICGAAACQhgAAAeISYmprS0tGXn5McYAOCJlpeXl5GRkZeXp1arp0yZ8uKLL8ru6Nu5cePGX/7yl0uXLtlstu9///uvvfZa9+7dZTf1WLgDBoAnV0VFxaJFi+Lj4zMzM//4xz/eu3dPdkffzhdffDF//vywsLDt27fv378/MjLy8uXLspt6XAQwADy5jEaj1WodN26cWq0ODAxctGiRc/yjjz6aPn16TEzMggULnKm8YMGCf/7zn869xcXFEydOrKmpKS4uTk1NnTBhwksvvfTvf/+7jZu3WCxr165dtGhRUlJS7969tVrtpEmTxo0b12D/QoiYmJhPP/10+vTpsbGxf/jDH5yD9+/fX7Vq1eTJkydNmnTq1Cnn1bXNRRHAAPDk6tu374ABA5YsWaLX62uP5+fnv/nmm//4xz8UCsXevXuFEOPHj//kk0+ce0+ePDlu3DiVSrV48eKwsLBDhw797Gc/W758ud1ub8vmL1265HA4xo8fX39X/f6djh49umXLlvT09MOHD1+5ckUI8Zvf/EatVr///vubNm2qqqqy2+1tdlEEMAA8uZRKZXp6+sCBA2fNmrVhw4aKigrn+Pz580NCQjQazfPPP19QUCCEiIqKunLlirPg5MmTsbGx165dq6mpmTlzpqen54QJExQKxe3bt9uy+aKiosDAwAZ31e/facaMGb6+viEhIaNHj/7666/z8vKc97s6nS4kJCQuLq4tL4oPYQHAE83Dw2P27NnTpk1LT0+fO3futm3b3NzcTp069fHHH9+6dctgMERERAghNBrNqFGjsrOzR4wYUV5ePmzYsOPHjxcUFERGRrqmMhqN/fv3b7POu3XrVlJS0uCu+v07+fv7Oze0Wm11dfXdu3f79+/fpUsXV4HBYGiziyKAAQDCx8dn2bJlP/rRj7766iu73b5ly5bU1NT+/fufP3/+9OnTzprnn3/+448/Li0tda76+vr6Dhky5M9//rOsnkeMGFFSUpKTkxMeHl57/PLlyw32X59Op7t7927tkba8KJagAeDJlZub+9577xmNRovF8vnnn5vNZn9//8LCQh8fn5CQECHE8ePHXcXPPfdcbm5udnZ2bGysEGLo0KFGo/HQoUNVVVVSmvfx8XnppZeWL1+elZV179690tLSQ4cOnTx5srH+6xs2bJjNZsvIyCgvL8/NzT169GhbXhQBDABPrj59+ty8eTM5OXnixInvvffeunXr/P39o6KifH19f/7zny9btuwHP/iBq9jd3T0iIsLhcAQEBDj/XL9+/bFjx+Lj4+Pi4t5+++227z85OXn+/Pn79+9PSEiYNWtWfn7+6NGjG+u/Pjc3t40bN16/fn3q1KmrVq3q1atXW16UwuFwtN7sAIA2duHChZEjR8ru4tEa7LOjNP9Ij3Mh3AEDACABAQwAgAQEMAAAEhDAAABIQAADANDCHuejZAQwAAASEMAA0Kl4enpWVlbK7uIRKisrPT096493iOZbCgEMAJ2KRqMxmUyyu3iEqqoqrVZbf7xDNN9SCGAA6FT69OljMpn0er3FYpHdSwMqKytLS0sLCgp69+5df287b75l8SQsAOiEjEajwWBohzHm6emp1WobTF+Xdtt8E77DA7wIYAAAJGAJGgAACQhgAAAkIIABAJCAAAYAQAICGAAACQhgAAAkIIABAJCAAAYAQAICGAAACQhgAAAk+D+u5y2S8L2RvQAAAABJRU5ErkJggg==" alt="Settings"></div>
+<p class="rg"><b>5 nhóm</b>: Ngôn ngữ · Provider · Bảo mật (khoá mật khẩu) · Tham số · Routing</p>
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf" id="setwf"><div class="main dlg"><div class="ttl">Cài đặt</div><div class="r grow"><div class="c w26 pane"><div class="li on" id="setl-chung">Chung<span class="s">ngôn ngữ · giao diện · khay</span></div><div class="li" id="setl-provider">AI Provider<span class="s">Ollama · qwen2.5-coder</span></div><div class="li" id="setl-sandbox">Bảo mật sandbox<span class="s">🔒 cần mở khoá</span></div><div class="li" id="setl-param">Tham số<span class="s">đính kèm · GraphRAG · giới hạn</span></div><div class="li" id="setl-routing">Auto Model Routing<span class="s">đang Tắt</span></div><div class="grow"></div></div><div class="c grow"><div id="setp-chung"><div class="frow"><span class="lbl">Ngôn ngữ hiển thị</span><div class="grow"></div><div class="seg" id="set-lang"><span data-v="en">English</span><span class="on" data-v="vi">Tiếng Việt</span><span data-v="ja">日本語</span></div></div><div class="frow"><span class="lbl">Giao diện</span><div class="grow"></div><div class="seg" id="set-theme"><span data-v="light">Sáng</span><span class="on" data-v="system">Hệ thống</span><span data-v="dark">Tối</span></div></div><div class="frow"><span class="lbl">Giữ chạy nền trong khay hệ thống khi đóng</span><div class="grow"></div><div class="tsw on"><i></i></div></div><div class="frow"><span class="lbl">Hiện thông báo khay khi tác vụ xong hoặc lỗi</span><div class="grow"></div><div class="tsw on"><i></i></div></div></div><div id="setp-provider" class="hide"><div class="lbl">Nhà cung cấp AI</div><div class="inp">Ollama (local models)</div><div class="lbl">Base URL</div><div class="inp">http://localhost:11434</div><div class="lbl">API Key</div><div class="inp">••••••••</div><div class="lbl">Model</div><div class="inp">qwen2.5-coder:7b <span class="s">⭳ Tải · ⚗ Test kết nối</span></div></div><div id="setp-sandbox" class="hide"><div class="r tb"><div class="inp grow">Nhập mật khẩu…</div><div class="btn">Unlock</div><span class="pill red">🔒 Locked</span></div><div class="frow"><span class="lbl">Xác nhận trước khi Cowork chạy lệnh</span><div class="grow"></div><div class="tsw"><i></i></div></div><div class="frow"><span class="lbl">Chặn mạng cho lệnh do agent chạy</span><div class="grow"></div><div class="tsw on"><i></i></div></div><div class="frow"><span class="lbl">Enable Agent Security (kiểm tra lệnh)</span><div class="grow"></div><div class="tsw on"><i></i></div></div><div class="frow"><span class="lbl">AI check commands</span><div class="grow"></div><div class="tsw"><i></i></div></div></div><div id="setp-param" class="hide"><div class="card"><div class="cap">Đính kèm</div><div class="frow"><span class="lbl">Số tệp tối đa</span><div class="grow"></div><div class="stp"><span class="sb" data-t="sp-files" data-d="-1">−</span><span class="sv" id="sp-files">20</span><span class="sb" data-t="sp-files" data-d="1">+</span></div><span class="s">tệp</span></div><div class="frow"><span class="lbl">Token tối đa mỗi tệp</span><div class="grow"></div><div class="stp"><span class="sb" data-t="sp-tokens" data-d="-5">−</span><span class="sv" id="sp-tokens">500</span><span class="sb" data-t="sp-tokens" data-d="5">+</span></div><span class="s">nghìn</span></div></div><div class="card"><div class="cap">Cấu trúc &amp; GraphRAG</div><div class="frow"><span class="lbl">Số node tối đa</span><div class="grow"></div><div class="stp"><span class="sb" data-t="sp-nodes" data-d="-1">−</span><span class="sv" id="sp-nodes">500</span><span class="sb" data-t="sp-nodes" data-d="1">+</span></div><span class="s">node</span></div><div class="frow"><span class="lbl">Số cạnh tối đa</span><div class="grow"></div><div class="stp"><span class="sb" data-t="sp-edges" data-d="-1">−</span><span class="sv" id="sp-edges">500</span><span class="sb" data-t="sp-edges" data-d="1">+</span></div><span class="s">cạnh</span></div></div><div class="card"><div class="cap">Giới hạn sandbox</div><div class="frow"><span class="lbl">CPU</span><div class="grow"></div><b>Không giới hạn</b></div><div class="frow"><span class="lbl">Bộ nhớ</span><div class="grow"></div><b>2.048 MB</b></div><div class="frow"><span class="lbl">Disk I/O</span><div class="grow"></div><b>2.048 MB</b></div></div></div><div id="setp-routing" class="hide"><div class="frow"><span class="lbl">Chế độ</span><div class="grow"></div><div class="seg" id="set-rmode"><span class="on" data-v="off">Tắt</span><span data-v="auto">Auto</span><span data-v="manual">Manual</span></div></div><div class="frow"><span class="lbl">Chính sách</span><div class="grow"></div><div class="seg" id="set-rpolicy"><span data-v="quality">Chất lượng</span><span data-v="cost">Chi phí</span><span data-v="latency">Độ trễ</span><span class="on" data-v="balanced">Cân bằng</span></div></div><div class="frow"><span class="lbl">Ngưỡng tăng điểm tối thiểu</span><div class="grow"></div><div class="stp"><span class="sb" data-t="sp-mingain" data-d="-1">−</span><span class="sv" id="sp-mingain">5</span><span class="sb" data-t="sp-mingain" data-d="1">+</span></div><span class="s">%</span></div><div class="frow"><span class="lbl">Timeout xác nhận</span><div class="grow"></div><div class="stp"><span class="sb" data-t="sp-timeout" data-d="-1">−</span><span class="sv" id="sp-timeout">60</span><span class="sb" data-t="sp-timeout" data-d="1">+</span></div><span class="s">giây</span></div><div class="frow"><span class="lbl">Chu kỳ đánh giá lại</span><div class="grow"></div><div class="stp"><span class="sb" data-t="sp-interval" data-d="-1">−</span><span class="sv" id="sp-interval">24</span><span class="sb" data-t="sp-interval" data-d="1">+</span></div><span class="s">giờ</span></div><div class="frow"><span class="lbl">Đồng thời mỗi provider</span><div class="grow"></div><div class="stp"><span class="sb" data-t="sp-concurrency" data-d="-1">−</span><span class="sv" id="sp-concurrency">2</span><span class="sb" data-t="sp-concurrency" data-d="1">+</span></div></div><div class="lbl">Judge model</div><div class="inp">(để trống · dùng model đang chọn)</div><div class="r tb"><div class="btn">⟳ Đánh giá lại ngay</div></div></div><div class="grow"></div><div class="r tb end"><div class="btn">Huỷ</div><div class="btn pri">Lưu</div></div></div></div></div></div>
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+<details class="ctl"><summary>Kiểm kê control — <b>23</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>Giữ chạy nền trong khay hệ thống khi đóng cửa sổ</td><td class="mut">ô tick</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:56</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Hiện thông báo khay hệ thống khi tác vụ xong hoặc lỗi</td><td class="mut">ô tick</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:59</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._on_provider_edit_changed</code></td><td class="mut">ui\settings_dialog.py:70</td><td class="mv">→ menu tài khoản ở đáy sidebar</td></tr><tr><td>conf.get('base_url', </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:77</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td></td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:103</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Unlock</td><td class="mut">nút</td><td><code>self._sandbox_unlock</code></td><td class="mut">ui\settings_dialog.py:107</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xác nhận trước khi Cowork chạy lệnh</td><td class="mut">ô tick</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:121</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Chặn mạng cho lệnh do agent chạy</td><td class="mut">ô tick</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:126</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Enable Agent Security (command validation</td><td class="mut">ô tick</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:136</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>AI check commands</td><td class="mut">ô tick</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:142</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Số tệp tối đa đính kèm vào một tin nhắn.</td><td class="mut">ô số</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:178</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Giới hạn nội dung mỗi tệp đính kèm đưa vào prompt; phần vượt</td><td class="mut">ô số</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:183</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Giới hạn số node trong đồ thị Cấu trúc (0 = không giới hạn).</td><td class="mut">ô số</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:194</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Giới hạn số cạnh trong đồ thị Cấu trúc (0 = không giới hạn).</td><td class="mut">ô số</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:200</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>routing.get('judge_model', </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:279</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Đánh giá lại ngay</td><td class="mut">nút</td><td><code>self._routing_reassess_now</code></td><td class="mut">ui\settings_dialog.py:282</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>QDialogButtonBox.Save | QDialogButtonBox.Cancel</td><td class="mut">nút hộp thoại</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:299</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>value</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:316</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tải</td><td class="mut">nút</td><td><code>lambda: self._load_models(self.provider_combo.currentData(), combo, st</code></td><td class="mut">ui\settings_dialog.py:368</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Test kết nối</td><td class="mut">nút</td><td><code>lambda: self._test_connection(self.provider_combo.currentData(), statu</code></td><td class="mut">ui\settings_dialog.py:374</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>code</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:496</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Copy mã</td><td class="mut">nút</td><td><code>lambda: QGuiApplication.clipboard().setText(code)</code></td><td class="mut">ui\settings_dialog.py:503</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mở link</td><td class="mut">nút</td><td><code>lambda: webbrowser.open(flow.get('verification_uri_complete') or url)</code></td><td class="mut">ui\settings_dialog.py:506</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Năm group cuộn dọc, không mục lục.</li><li>Sandbox khoá bằng <b>mật khẩu hard-code</b> (<code>settings_dialog.py:115</code>).</li><li>Provider/Ngôn ngữ/Giao diện ở top bar, tách khỏi Settings.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Thêm cột mục lục bên trái; gom Ngôn ngữ/Giao diện vào nhóm Chung (AI Provider vẫn là nhóm riêng như hiện tại, không gộp).</li><li>Đổi cách hiển thị field theo đúng loại dữ liệu: checkbox ☑/☐ → toggle switch, dropdown ít lựa chọn (2–4 giá trị) → segmented control, số nhập tay → stepper, 3 nhóm con trong Tham số → gom thành card — vẫn đúng field/giá trị mặc định thật từ <code>ui/settings_dialog.py</code>, chỉ đổi cách trình bày chứ không đổi dữ liệu.</li></ul></div>
+</div></div></section><section class="sec" id="dialog-task-editor">
+<div class="hd"><b>18. Task Editor</b><span class="tag">ui/task_editor_dialog.py:55</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Khai báo tác vụ hẹn giờ: nội dung, lịch lặp, phụ thuộc, thông báo.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" src="data:image/png;base64,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" 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" 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" alt="Task Editor"></div>
+<p class="rg"><b>5 nhóm</b>: Cơ bản · Lịch · Đầu vào · Phụ thuộc · Thực thi</p>
+<div class="cap">Đề xuất — bố cục mới</div>
+<p class="mut">Cùng 1 dialog <code>TaskEditorDialog</code> cho cả <b>Thêm task</b> và <b>Sửa task</b> — chỉ đổi tiêu đề (Thêm/Sửa), bố cục dưới đây dùng chung cho cả hai. Layout theo đúng kiểu màn <b>Cài đặt</b>: danh sách 5 nhóm bên trái thay cho 3 tab wizard, đúng 5 <code>QGroupBox</code> thật (không phải 3 bước tự đặt ra).</p>
+<div class="wf" id="taskwf"><div class="main dlg"><div class="ttl">Sửa task</div><div class="r grow"><div class="c w26 pane"><div class="li on" id="tel-basic">Cơ bản<span class="s">tiêu đề · loại chạy · model</span></div><div class="li" id="tel-sched">Lịch<span class="s">chạy 1 lần · lặp lại</span></div><div class="li" id="tel-input">Đầu vào<span class="s">prompt · tệp · liên kết</span></div><div class="li" id="tel-dep">Phụ thuộc<span class="s">task kế tiếp · chờ hoàn tất</span></div><div class="li" id="tel-exec">Thực thi<span class="s">thử lại · timeout · phê duyệt</span></div><div class="grow"></div></div><div class="c grow"><div id="tep-basic"><div class="frow"><span class="lbl">Chế độ</span><div class="grow"></div><div class="seg" id="tsk-mode"><span class="on" data-v="normal">Bình thường</span><span data-v="automation">Tự động</span></div></div><div class="lbl">Tiêu đề</div><div class="inp">Gửi báo cáo doanh thu hằng ngày 08:00</div><div class="lbl">Mô tả</div><div class="inp tall">Gom số liệu ngày hôm trước, dựng bảng và gửi email cho nhóm kế toán. <span class="s">✨ Sinh prompt từ mô tả</span></div><div class="lbl">Project</div><div class="inp">Báo cáo tài chính Q3</div><div class="frow"><span class="lbl">Loại chạy</span><div class="grow"></div><div class="seg" id="tsk-runkind"><span class="on" data-v="agent">AI Agent</span><span data-v="flow">Co4E Flow</span></div></div><div class="lbl">Nhà cung cấp</div><div class="inp">Ollama (local models)</div><div class="lbl">Model</div><div class="inp">qwen2.5-coder:7b <span class="s">⭳ Tải model</span></div><div class="lbl">Skill</div><div class="inp">(Không dùng)</div><div class="lbl">Ưu tiên</div><div class="inp">medium</div><div class="lbl">Trạng thái</div><div class="inp">backlog</div></div><div id="tep-sched" class="hide"><div class="frow"><span class="lbl">Bật lịch chạy</span><div class="grow"></div><div class="tsw on"><i></i></div></div><div class="lbl">Thời điểm chạy</div><div class="inp">2026-08-17 08:00 AM</div><div class="lbl">Lặp lại</div><div class="inp">Hằng ngày</div><div class="lbl">Cron (khi lặp = tuỳ chỉnh)</div><div class="inp">0 8 * * * <span class="s">— chọn mẫu có sẵn</span></div><div class="frow"><span class="lbl">Chỉ ngày làm việc (bỏ T7/CN)</span><div class="grow"></div><div class="tsw"><i></i></div></div><div class="frow"><span class="lbl">Bỏ qua ngày nghỉ lễ</span><div class="grow"></div><div class="tsw on"><i></i></div></div><div class="lbl">Mã quốc gia lễ</div><div class="inp">VN</div><div class="frow"><span class="lbl">Kênh thông báo</span><div class="grow"></div><div class="seg" id="tsk-notify"><span class="on" data-v="none">Không</span><span data-v="teams">Teams</span><span data-v="outlook">Outlook</span></div></div><div class="lbl">Email nhận thông báo</div><div class="inp">ketoan@company.com</div></div><div id="tep-input" class="hide"><div class="lbl">Prompt thủ công</div><div class="inp tall">Tổng hợp số liệu doanh thu ngày hôm trước từ file đính kèm, dựng bảng tóm tắt.</div><div class="lbl">Tệp đính kèm</div><div class="li">📄 sales_template.xlsx</div><div class="li">📄 Q3_report_outline.docx</div><div class="r tb"><div class="btn">+ Thêm tệp</div><div class="btn">🗑 Xoá</div></div><div class="lbl">Liên kết</div><div class="li">🔗 https://intranet.company.com/sales-dashboard</div><div class="r tb"><div class="btn">+ Thêm liên kết</div><div class="btn">🗑 Xoá</div></div></div><div id="tep-dep" class="hide"><div class="lbl">Task kế tiếp</div><div class="inp">(Không có)</div><div class="lbl">Chế độ chạy tiếp</div><div class="inp">Không tự động chạy tiếp</div><div class="frow"><span class="lbl">Dùng output làm input task sau</span><div class="grow"></div><div class="tsw"><i></i></div></div><div class="lbl">Chờ các task này xong (fan-in)</div><div class="li">☑ Gom số liệu doanh thu</div><div class="li">☐ Dựng slide trình bày Q3</div></div><div id="tep-exec" class="hide"><div class="lbl">Số lần thử lại</div><div class="inp">0 lần</div><div class="lbl">Timeout</div><div class="inp">600 giây</div><div class="frow"><span class="lbl">Cần phê duyệt (chờ bấm Chạy ngay)</span><div class="grow"></div><div class="tsw"><i></i></div></div></div><div class="grow"></div><div class="r tb end"><div class="btn">Huỷ</div><div class="btn pri">Lưu</div></div></div></div></div></div>
+<script>
+(function(){
+  var panels=['basic','sched','input','dep','exec'];
+  panels.forEach(function(p){
+    document.getElementById('tel-'+p).addEventListener('click',function(){
+      panels.forEach(function(q){
+        document.getElementById('tel-'+q).classList.toggle('on',q===p);
+        document.getElementById('tep-'+q).classList.toggle('hide',q!==p);
+      });
+    });
+  });
+  Array.prototype.forEach.call(document.querySelectorAll('#taskwf .tsw'),function(t){
+    t.addEventListener('click',function(){t.classList.toggle('on');});
+  });
+  Array.prototype.forEach.call(document.querySelectorAll('#taskwf .seg'),function(seg){
+    Array.prototype.forEach.call(seg.querySelectorAll('span'),function(s){
+      s.addEventListener('click',function(){
+        Array.prototype.forEach.call(seg.querySelectorAll('span'),function(x){x.classList.remove('on');});
+        s.classList.add('on');
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+})();
+</script>
+<details class="ctl"><summary>Kiểm kê control — <b>26</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>self.task.get('title', </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:96</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>self.task.get('description', </td><td class="mut">ô nhập nhiều dòng</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:100</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td></td><td class="mut">nút</td><td><code>self._gen_prompt_from_description</code></td><td class="mut">ui\task_editor_dialog.py:102</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._refresh_model_combo</code></td><td class="mut">ui\task_editor_dialog.py:135</td><td class="mv">→ menu tài khoản ở đáy sidebar</td></tr><tr><td>Tải danh sách model của provider này</td><td class="mut">nút</td><td><code>self._load_live_models</code></td><td class="mut">ui\task_editor_dialog.py:147</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>AI agent = chạy một agent Cowork với model đã chọn. Co4E flo</td><td class="mut">droplist</td><td><code>self._on_run_kind_changed</code></td><td class="mut">ui\task_editor_dialog.py:170</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Flow Co4E đã lưu mà task này sẽ chạy (có sẵn hoặc của bạn).</td><td class="mut">droplist</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:176</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thông thường = chạy một lần (hoặc thủ công). Tự động = cronj</td><td class="mut">droplist</td><td><code>self._on_task_mode_changed</code></td><td class="mut">ui\task_editor_dialog.py:188</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Bật lịch chạy</td><td class="mut">ô tick</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:217</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._on_repeat_changed</code></td><td class="mut">ui\task_editor_dialog.py:232</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>sched.get('cron_expression') or </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:238</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Chọn một lịch mẫu — sẽ điền đúng cú pháp vào ô cron.</td><td class="mut">droplist</td><td><code>self._on_cron_sample</code></td><td class="mut">ui\task_editor_dialog.py:242</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Chỉ ngày làm việc (bỏ T7/CN</td><td class="mut">ô tick</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:258</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Bỏ qua ngày nghỉ lễ</td><td class="mut">ô tick</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:260</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>sched.get('holiday_country', 'VN') or 'VN</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:262</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._on_notify_changed</code></td><td class="mut">ui\task_editor_dialog.py:274</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>ex_sched.get('notify_email', '') or </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:280</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>inp.get('manual_text') or </td><td class="mut">ô nhập nhiều dòng</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:313</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">nút</td><td><code>self._add_files</code></td><td class="mut">ui\task_editor_dialog.py:324</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">nút</td><td><code>lambda: self._remove_selected(self.files_list)</code></td><td class="mut">ui\task_editor_dialog.py:328</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">nút</td><td><code>self._add_link</code></td><td class="mut">ui\task_editor_dialog.py:349</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">nút</td><td><code>lambda: self._remove_selected(self.links_list)</code></td><td class="mut">ui\task_editor_dialog.py:353</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._check_chain</code></td><td class="mut">ui\task_editor_dialog.py:376</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Dùng output task này làm input task sau</td><td class="mut">ô tick</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:385</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Cần phê duyệt (không tự chạy theo lịch; chờ bấm Chạy ngay</td><td class="mut">ô tick</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:421</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>QDialogButtonBox.Save | QDialogButtonBox.Cancel</td><td class="mut">nút hộp thoại</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:430</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li><b>Năm group</b> dọc — form dài nhất app, không thấy đang ở bước nào.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Đổi sang layout <b>danh sách bên trái + panel bên phải</b> giống màn Cài đặt (thay vì chia tab) — 5 mục danh sách khớp đúng 5 <code>QGroupBox</code> thật (<b>Cơ bản · Lịch · Đầu vào · Phụ thuộc · Thực thi</b>, xem <code>ui/task_editor_dialog.py</code>), luôn thấy đang ở nhóm nào và còn bao nhiêu nhóm nữa — nhất quán với cách điều hướng ở Cài đặt thay vì mỗi màn một kiểu.</li></ul></div>
+</div></div></section><section class="sec" id="dialog-skills">
+<div class="hd"><b>19. Skills manager</b><span class="tag">ui/skills_dialog.py:108</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Quản lý skill — khối hướng dẫn tái dùng, gõ <code>/skill</code> để chèn.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAjAAAAGkCAIAAACgjIjwAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAgAElEQVR4nOyde1xTR97wJ4FAIBBCCCgCIhdB1AIqgghYFPCGFkS8FBHdtwXXrdQuW7atPqu4PutjkWJdqdpiL2rR4q0qClq1iIDKRVARRA1ewj0ICIEkJJC8f5zds9mcSw4hQGzn++GPMJn5ze82Z86Zc3KG5ujoCCAQCAQCGW3oo60ABAKBQCAAwAkJAoFAIHoCnJAgEAgEohfACQkCgUAgegGckCAQCASiF8AJCQKBQCB6AZyQIBAIBKIXwAkJAoFAIHoBnJAgEAgEohfACQkCgUAgegGckCAQCASiF8AJCQKBQCB6gQGHwxltHXD4+OOPFQpFQ0PDaCsCgUAgkBFCT6+Qjh496uHhMdpaQCAQCGTk0HJCotPpGzduZLPZuN9++umnZmZmVOT4+fktXboU/ZfFYn300UfBwcFhYWHPnj2jLnbWrFl/+tOfuFwuNfXJxKqahn5F3SLdilXzjw4ZJmfyeLy//OUvISEhdnZ2b7/9Nnnl4bNODxmKV4FWGQiBvHEYaqyxdu1aJycn1ZKysrK8vLyDBw8OpeOwsDB/f3/kc0dHR3FxMQAgNDT0xIkTAQEBN27caGxspCiKx+NZWVn9+OOPixYtOnnypFKpBADMnj1bKpVWVFQMVjGFQjFY0+zs7ObOnWtnZyeXy8vLy2/evDl0sbj+GQGG6Ex3d/fTp0+7urq+++67R48eJao2WtYNESI/aPQPrle17g4C+a2ieUI6duwYAIDD4fzxj3/cvXu3rjq+evXq1atX/fz8bGxs0OPR+fPnAQBnz54dlKhXr15dunQJAJCdnY0WWllZCYVCXWlLApPJjI2NvXTpUnZ2NpvN9vX11YlYXP+MAEN0JqLqy5cvr1+/TlJNo3UODg5BQUHHjx9XK585cyabzSYXPnwQ+UGjf3C9qnV3EMhvFc0TEhGffvppRkZGT0+Pqanp/PnzXVxcaDRabm5uTU0NWmfRokXW1tZZWVkDAwNoIYfDWbJkib29fVtbm0AgQMvZbPbSpUvt7e07OjpycnJaWlqwnY4ZMyY2NpbD4Tx79iwnJ0cikQAAvL29AwIC2Gx2Q0PD2bNne3t70au6BQsWpKamSqVSVEJAQICfnx+DwaisrPzll19UhaPaJicnI6ZR8YO5uTmNRqupqVEoFO3t7Xl5eWoVBiuWyD9YMwEAn3766blz50JCQszMzFCLrK2tly5damtr29zcXF9fz2Qyc3JyRsaZGoOIa52pqemHH36Inu6sXbt23LhxV69eRQQuWLDA0dHR1NQUANDT03PmzBmkCVHWEfmKyC24OmMdS+QH1fL9+/dv2LBB1ZDS0tLHjx9Tjx2KWncAADs7u5CQEHNz86qqqtzcXCLNUY8NDAxUV1dfv35ddfRBIPqM9hMSysqVK9va2g4dOmRubj5mzBi03M/Pz9HR8fvvv1cdDzQa7d13362pqTl16pSNjc2KFSuePn2KltfW1p46dWrSpEnLly8/ePCgQqFQ62vmzJknT56USqVLly4NCwu7cOECAGDMmDFnz57t7OyMjo6eNWvW9evXjx07tnTpUqFQWFJSotrczs5uxowZ33zzDXZWwNWWCu3t7W1tbatWrbp8+XJnZ+cQxRL5B9dMpNzT0/PIkSNmZmbr1q179OhRQ0NDdHR0TU3N8ePHeTzeypUrUQlq6NyZGoNIYp0a586de/z4MZ1Of/fdd58+fZqTk2Nqarps2bLHjx+/fPkSEGcdka9oNBquW0h0VnMskR9Uy5FZEwvF2NXX1+OKRUq8vb2PHj3KYrHWr19fXV0tEAiwmgMA1Dw2Z86c/Px8XK0gEH1jqE/Z2dnZWVhY5OXl9fb2trS03L9/Hyl3dXX18/PLysrq6+tTrW9vb0+n0wsKCvr6+urr69H1cXt7e0NDw4KCAplM9uDBAxqNZmVlhe2uqKioo6NDLBZfv37dzc0NKbxy5Upzc7NUKn348CFuKxSFQmFkZGRubq5WTqQtFRQKxdGjR4VCYUJCQnh4uLGx8VDEEvkHEJtZVFTU09PT0tJSV1c3ZswYe3t7AwODmzdvSqXShoaGyspKor507kyNQSSxDhc7OztDQ8P8/HypVNrR0fHLL79Mnz4dEGcdia+I3EKis5pjyVUlh2LsyIUUFhb29PS0trbW1dVZW1vjao71mKen51A0h0BGkqFeIVlaWgqFQuylTEhISFFRkUgkUiu3sLDo6OhA/5VIJMgRzcLCwsrKatu2behX5ubmbW1tas1fv36NfOjp6WEymTQaTalUTp48+a233rK2trawsMA+m6dKc3Pzr7/+umrVqvb29kuXLqGaEGlLEblcfv369du3by9YsGD9+vWHDx9Groe0EEvkHwAAkZnd3d3IB6lUymAwLCws2tvb0dvmYrGY6OksnTtTYxBJrCPxBmpLZ2cnUp8o61CwVhC5hURnNceS6KkRirEjF4INNFZzU1NTNY/BZ/MgbxBDnZB6e3txn2Q9f/58ZGRkS0sLssCCIpFILCws0H8tLS1ROU1NTYcPHybvzsTEBFkgsrGx6erqUiqV48ePnz9/fm5urlAonDBhgsZfL1VUVNy7dy8oKGjFihVff/01ubaDQiwWnzt3LikpydbWFvlJrxZiifxD3UypVKr6OD7JD5917kyNQSSyTiaTMRgMQ0PD/v5+AAA6S4lEIi6Xi8yUSH1kEiXKOgRcK4jcQjHxKIJryGC9ShFczR0dHXE9BoG8EQx1yU4gENBotJCQEBMTk3Hjxnl5eSHlLS0tFy5cWLFihbW1tWr9+vp6MzMzPz8/IyMjFxeXSZMmqZb7+PgYGRmRdDd37lwzMzMOhzN//vx79+4BADgcTm9vb3NzMwBg6tSpaE2pVDpmzBgajYYVolQqm5ubDQ3/MxkTaasGh8P56KOPVBsCAMaNGxcUFGRubm5gYODi4sJgMNAzWYpiVSHyD5GZuBLMzc19fX2NjIycnZ1JDn86d6bGIBJZ19/f39HR4e/vb2Rk5OPjg05ayD2VuXPnMplMS0vL0NDQu3fvAuKsI/EVkVsoJh65H9ByXEOox45idySaE3kMN3UhEH2D6quDmEymj49PUVERWhIYGFhaWtrX18fn86dPn4488vTgwYOuri7kq+bmZoVCsXjx4pqaGvQmysDAQENDw5w5c+bNm2dkZPT06VMmk/nkyROFQvHixYvAwEDkFypcLvfJkydqOgQGBpaVlS1fvnz69Ol8Pv/GjRtKpbKzs9PV1XX+/PkTJkx4/Pgxh8N5+PAhAEAkEgUFBQUFBZWXl6MPFDg7O7/33ntz5861sbHJzc3t6upCDVHVdubMmaWlpTKZDPkK/UCn0729vUtKSlR/RzIwMODt7T1//vzAwEArK6tLly61trYOSqxMJlOVhusfIjNVJbi5uUkkkhcvXjQ2NiISjI2Nnz9/TqPR+Hz+CDhTYxCJrAMACIXCOXPmvP32252dnQqForGxEVlh4/P506ZNmz9//uTJk2tqau7cuaNUKpFytaxDe8G1YmBgANctRDpjHdvQ0IDrBzX/NDc3qxnC5/Mpxk7tXVmqYv39/dUqCwQCrOZEHmMymdjUhUD0DZqjo+No6wAZRpA1wzt37oy2IvoFdAsEoofo6bvsBou5ufn7778/2lroF0ZGRl5eXu7u7sj5OHX00JmRkZHOzs46EaW1WyAQyHADr5B+g6xbt87W1hYA0Nraeu3aNdVft/yegW6BQPQcOCFBIBAIRC/4jSzZQSAQCORNB05IEAgEAtEL4IQEgUAgEL0ATkgQCAQC0QvghASBQCAQvYDqq0SMjIyovFsFAoFAIBBV+vv7VfdRI4HShMRisQwNDel0OtFrtSAQCAQCwaJQKAwMDAwNDalseap5QjIyMjIwMDAwMNCFbhAIBAL5HUGn/+vGkJGRkep7O/EraxSHTEg60AsCgUAgv0vodDqVmz6UHmqAK3UQCAQC0RqKk8jI7Y+ioBnI6SaABp/rg0AgkN8dNNkrjXW0nJCkUqnqfjBEGBgYMJlM5LOcbmJsAAAg3HYaAoFAIL9VNNw+AgBoPSENDAygMw0J//WoH42uVGqewyAQCATy+0T7JTv4pAMEAoFAdMhI3tFR6vBv586/m5ub6Vamzv9oNJCU9GcOx2LUNYF/b9zfm5I8ejUSKSrzpvhWP508hD/NjNxDDVgiIiI8PT3/8Y9/KBSjfGNp8+bN48aNAwD09vY+fPgwJydHLpcPXaxSqUxPTx+6HC0IDg6WSCQlJSXD3RGVII6YMqMIkY1oanV1dd28ebOoqIiiwJFMnhEbieSZYGJi8uc//3nPnj2qo8/e3n7RokUODg5yufzWrVvXr18feu+68u24ceNCQ0OdnJwMDAzq6urOnj0rEomGLpYE7YYSUavBShuBgTyCE9J/T5AMBsPzLU9hq9Bjkkd1dbU20qhOupSkZX6TWVdXZ2lpuWbNmsCAwPz8fB2JHh14VryWlhad+YcAikEcGWVGF0Ib/51ajo6O77333vNnzxsbG0dBP2JGciSSZ8I072lVD6rksv/MRiYmJvHvx//8888/fP8Dh8MJCAjQ0BGpMrrNQzc3t3fffffGjRsXcy5KpdLJkyc7TXB68OCBbqSr8W+7tDOBqNVgpY3AQDbgcDjkNXB/GCuXy6n8ykm12gDd2ID2n/Ovt96aamZmVlX1wMvL6969e0jhzp07hcLWdeviFixYYG5u9uTJYwCAj49PTEzM4sWLXVxcnj59IpP1AQDmzZtbXFwcF7fWyMiooaEBAGBsbLx9+zalUrlx48awsFDkTyqVCAQCCwuLNWtili1b9tZbbzU0NIhE3Wp6zprl9/Tpk46OdolEYm5uZmVlVVNTDQDAbcjlcmNjYyMjI6ZMmWJjY+Pp6VlTU8NisbZt+1t+/q+IwPj4+L4+aVubcOfOneXlZTJZ386dO7u7u+Lj35fL5fX19biSd+7c+fp157p1caGhISJRN5vNjo9/PyQkBADly5cviPTBOi0+Pv6tt6a6u7uFhYUWFxf19+vgag8X3CCampouX7582bJlwcFvd3Z2vvPOO0TK4EZ27ty5sbFrQkNDzcz+lQCq4DbBTRtVsH4LDAxcsGBBRcVdAMCKFStsbcc+f/5s586dTU2Na9fGLl68ePz48U+fPkFO1YncjgZ04cKFRDaiqfX69WtPz7cEAoFUKsFNFazhqsmDNRBXK6wQcn8SBXHoI7GkpCQwMFC1a41pGRUVdeXKld7e/7xgxsqK6+fnl53908BAv1jcW1tbiwZ05coVy5ZFBgYGWFiwnz9/rlAMoMowGIZYD0dGRqj2vn37NsS3RKLIk4rBYCQkxF+6dOnOndsSiUQulzc1NbW2tpLohitQLTpEhxHErnXr4lRN8Pb2ojIWiNyuVs5imeKqjaJav7KyYsuWz3APd6pHOTVlHlU/0PimhlFbsvP19b1//35NTc0777xjYWHR1dWFlM+YMePrr79ms9kbNmx48ODBy5cvbW1tT5w40dHRERsbGxgYmJeXhwqpqKiYPn36nTt3AABTp059+vTpjRs3bty4AQBwd3cPDQ0tLi6m0+nr16+vrq7OysqaMmVKTExMWlqaUokzy9NotDFjxkybNi03NxcAgNuQRqOtX7/+wYMHx44dGzNmzNq1a9FBopGJEyempqZKpVISldzc3P75z3+6ubktX75cIBB89dVXVlZW8fHxFRUVvb29RK3UnJaZmRkdHd3S0kJ9gUg7cIO4bt261tbWL7/8ks1m29rakiiDjayDg4Ovr+++ffuIlj6IkgGbNmgTXG/funXL19fX1dVVLBY7OjqeO3cOqezv73/s2LG+vr7o6OglS5acPHmSJFhoQG/dukXucAaDMWnSJDqdXldXZ2xsjK2g0XA1A+vr67Fa2dvbqwnRKBYM20i0srJS65o8LR0cHGQyGXJMRxEKha2trevWrTt//nxHRwdSiIzB2traM2fOmJqarlq1at68eVeuXCEykKR3clEkSeXo6Eij0SoqKtR6GZRAhUKhMTokJlAcC0RuVy2n0WgJCQnkLlWtz2KxiJREBwVWmbPZP2q0cWQfalD+649raens5FRTXd0jEr188WLG9OnoV79evy7q7m5saHjy+PE4W1ugVOZcuNDY0CARiysrKqx5PLQmUCofVlXZ29mZmpgApfKtqVPvlpcj5aYmJhHvvHMyO1upUIx3cGAYGl67erVPKq24excolTbW1qpCkL/499/f/X//tyEh4dzPP9dUVwOlErfheAcHQwOD69euSSWSly9elJWWYkUR/d2+dUsqkRBJRuoU3rwpEYvv37snl8mKi4pE3d0vnj8XtrZa83gkrbBOG4E/3CDa29lZsNnnfv4Z0ae8rIxEAjaySoWCaWzMNjen3kSjB3D9phgYuHD+/MIFCxYvWnTu55/lMhlSOf/XX9tfveoRiS5dvOgxaRJ5sNCAkv/Fv//+/+7cuXrVqsqKioH+ftw6Gg1XMxBXK6wQjWKHbyRq7Frtz3fmzNKSEqxbvvn665bm5s0ffhi1bBnT2BgolY7jxxsxGL9cuSLu7X3V1nbp4sVp3t7a5TC5KJKk4lhYvGprG6LAwbpI7U+LsaCdHwb1pzYoVJWhMkmM3BWS6tLu9Bkznr94IerpAQBUPXwYFBT0a36+UqlUAvC6qwup1isWM4yMlAB4enpOmzbNxsaGw+E8ffpUqSKtTyZ7VFs7ycOjpqbGdty4R7W1yLfvREQU37olbGsDAHAsLXnW1rs//xzVxJzNbvnvEzElAN9kZjY1Na1evXqSh8dTPp+ooZmZWatQqFD+y5Se3l4zc3PscyS4j5h0vn6NVCBSSQlAt0iE1JH29aGukEilhgyGqakpUSus0zQu7H+uIoeETz75hOgr3CBa8Xgtra0D/31vnEgZbGTrGxpy8/Li1q1ra2s7d+5cW1ubxiaIfKwHUIi8/ZTPn69UGhkbI+FG5LR3dCBte3p7mSYmgEYjCRYaUBIbkdSqq6vj8XjLli0zMjYuKirCpgqu4apxVDMQV6unT5+qCdHoz+EbiQqFgsQiNYyNjd3c3c9fuID9qk8my83Lu1lYuGTJkoQNG7766iuOpaWwrQ0dg6/a25ExCDAjDuAVqtYkF0WSVBKplG1hgdV2UAKx0aFyGEErUB8LJMmp0Q+49Un0VBsUqspg5OEwwkt2SgAAnU738ZnB4XA+/3w3+oWLizOfz8fmzIQJjuHhi8+dO9fa2urs7Dx16tT/zihlZWXFrFmzaDRQVfUAWfT09PRks82Li4uQmiJRd329ICMjQ5NiSrG496efTnz88cf37lXW19fjNnR3d7ewYKOx4HItkbZ9fVJDQwNDQ4P+/n4AAJttjg2fQjGgSSXskPnP50G2IkrCf/HJJ38ldYgGiILY0yOysuJi+sVRZsKECbiRLS0tKS8vmzdvXmzsmr1791JpQuw3AIi9PWHCBDqdZmhoOH68g0AgQNqampogN2NsbKw7OzuUSgWJ29GAEtmIliuVirY2YXl52cyZM69fv4abKniGEx5LibTCCiHx53CPRFKL/gtvb6+ammq5nPAGQ0+PKDv7p//5n/+xsxvX1fWax7Oi0QCycMrlWr5+3amqDIXB+K+aGkURJdWLF8/ZbHNXVxf+v89mEAYrUM1FVA4j/w7HoMaChimJVG2c+iR6Eg8KwmORKqPwZjlXV1cTE5Pt27d/8m+qqqpmzpyJW5nL5fb29iIPJk2bNg1b4cmTJ2PHjp02bdrdu3cBAObm5osWLTp16hR6l+jFixdsNtvf3x937V4NsVh87dq1qKgoOp2O2/DFixcWFhazZ882NjZ2c3ObOnUqUt7f39/e3j5nzhxjY2N/f39LS0uSXgalknatJBKJra0t+uJ3nUMUxJcvX9Lp9IULF5qamjo4OMyYMYNIGfLINjU1GRqqny1pTAZccP1maGi4fPnynJycy5cvI+FGyhcsWGBubs7lcpcsWVJWVkbUHAu5w2k0GpfLRfxDniq4hlM0ikQIrthhHYm4XRN5ydfXF/dhYgcHh3nz5rHZbAaD4ebmxmAwXr9+jdzLmT9/vqmpKZfLDQ8PR+5doRB5GNu7RlFE9PT0XLt2bc2aNTNmzDA3Nzc3N/f39/f09NROIOoijYcR1IRBjQUit6PlFNVG6w/qcDcoRuGx75k+M0tLSqWS/7xV6Nfrv37wwQemJqbY2f1h1UMvT69P/vpJS0vLgwcPnJyc1OZ+pVJZU13j7Ozc1NgEAFi6ZCnXkvvJX/+10HTz5s1Lly4d+eFIRETEkvAlMpns4cOHZ86cwdHt3/3evnXbz9dvlt+sW7duYRv2SfuOHT0WGRkZvjj88ePHJXdKLC0tkYZnz5yNjo6eGzz3zp07L1+8JDizAQCAfnk/vkpkF0iDa1VeVr5+/fr/2fo/n3/+eV9fn+6i+C+Ignj+3Pnvv/s+IiLi008+FYlEZ86cIVIGN7ITJ06MiYkxMjISCoWnTp5SO6nSmAzqnwGht+fNndfS3PLi+QsAQGBAYFBgUEFBAVCCx7WPP0z8kE6n37t3r+BGAVW3A2KHK0H8+/EAgJ6ennv37l27eg0ocVJloiue4YQXSPhaYb1H7s9hHYm4XeN6ady4cUqFsrmpGZtm7a/agwKDkv6cZGBg0NzcfPTI0a7XXQCA7779LjIy8tNPPu3t7S0rKysqLFJTBncwqvaOlAz0D2gUhZtUAID8X/O7XncFBQVFLYsSi8U1NTWXL18elEDcoJMfRlAT9u7dS30sECWnajmh2iqo1tdwuAN4ylCA5ujoSF7DzMwM+4S3Fi9XldLNjCi9Xm/QREVFCYXC4X6iDJfAwMCxY8eePn165LuG6JydO3empqYO928bf8NoNxIjIyMbGxuR61HIb5h+aY/GTWO1vEKi8mZVdZRKMAzbKrm4uEyZMuXy5cu6Fw2BQCij3UhkMBiTJ09GfmgBgYzckp0RkMoUxkCndzVCQubZjBnz9fdZr8X9AGj+oa7OEb4W99M7ZaPRNUTn1NQJxP10GE0t0HokyuQgZVcaAGBUxi9kJKFy6NdyyQ4CgUAgEOrIZDKNS3Zw/1YIBAKB6AVwQoJAIBCIXgAnJAgEAoHoBXBCgkAgEIheACckCAQCgegFcEKCQCAQiF4AJyQIBAKB6AVwQoJAIBCIXqDlmxq0eJcdBAKBQCAkaDkhDQwMUJlp0I1sIRAIBAIhR/t32RkYGOhQDwgEAoH8ztHre0g0Gm3Hjh1cLhcAkJGRwWaz1SqEhoauW7duOLrG7W50UfUG5DfPiGXg8A0iXPQzjfVwvL/RaO3PEd7C/F9s27bNwcEBANDZ2fnLL79cu3YNt5pSqdy+fbt28k+dOvXo0aMhaTkiLFy4UCwW37x5U2MFrb0xrLz77rs+Pj7JyckKhYKojkYbfwPg2piUlOTh4aFakp+ff/z4cZ30ODJJbmpqmpKSsnXrVrlcjhZOmDAhKirKyclJJpPl5+dfvHiRusAhpjF66JBKpc3Nzbdv3y4oKCDJPX3jjRgLo6jk6ExIAID09PTa2loXF5ePPvroyZMnAoFgtDQZXcaMGYPsQ6x1hVGEwWD4+Pi0tLR4eXlVVlYSVdNnE3QFro3p6ekAAB6Pl5KSsmnTptHQa6j4+fndvXtXdTYyNTVNSkr68ccf9+/fz+VyQ0JCRlgl5NDB4XBcXFyioqKcnZ2//fbbEdZBa96IsTCKSo7ahAQAUCqVfD5fKBSy2WwzM7Pdu3ejgzYpKSk/P7+ysjIjI2PLli3d3d1oKx6PFxcX5+zs3NjYyOfzybvIyMg4duxYZGSkiYnJTz/91NPTExsby2Qy8/Lyrly5glQ4dOjQ8uXLeTxebW3tDz/80NvbqyrB0tIyLi7O1dW1tbX16NGjyMSpUSxRq2+//TYqKsrCwqK4uDg7Oxs9g161atXmzZunTZu2cOFCLpdbV1d3+PDh7u5utQqpqamINywtLVevXu3u7i6Xy8vKyn7++WfkkIHtQnfhwsHb21sgEFRWVgYGBqITEovFWr169eTJk+l0elZW1pw5c1RNEIvFaPOAgAA1ewEAixYtCgkJMTY2LioqwuqP20Sj1dhwhIaGenp6IhPG+vXrX716dfHiRaJkIIrm8ePHo6Ojc3Jypk2bRmQjFlxpak4rLy8HACAHXA6Hc+fOnaysLI3hwJWM6zHqgygoKOjw4cOqJRwOh06nl5eXKxSK1tZW9IKPYs4jhRrTGPVtfn4+ViulUtnZ2VleXi4QCFJSUq5evSoQCLAKJCUllZWVFRYWIupt3779448/Njc3x+qp6kMilbTLDVX91YazsbExbl+qYBOD+tinbj7FZMaOTSJlENSO6lQYzXtIDAZjxowZdDq9traWYhM6nZ6YmPj06dPk5OSTJ0/6+flpbDJlypSdO3dmZWWtWbMmLCxs165dGRkZERER6BLn3LlzDxw4sGXLFhqNtnLlSmx3z549S05OvnbtWkJCAo1G0yiWpJW/v/+ePXvS0tICAwNdXFzS09OR0MbHx4vFYnt7+8zMzOTkZABAaGgoAECtAiKERqMlJiY2Nzdv3bp1z549Li4u4eHhqM5qXVB0rHYEBQVVVFRUVlZOnjzZ0tISKdy0aZNMJtuxY8fevXuNjY1xTUDA2uvk5DRnzpydO3cmJibizqbYJggkVuOG49dff7WwsPDw8HBwcHBxcUFOIwBeMpBE08PDY+vWrfn5+SQ2qkEkTc1pSOXZs2enpaWlpqb6+fm5ubmRx4JIMtZj1AeRk5NTX19fU1OTamFzc3NTU9OmTZt4PJ7G3klCQ57GqG/JrRYKhXV1dW5ubrgKlJSUTJ8+Hanp4+Nz9+5dhUJBpKdGlbTLDVVtVfNEIpGQ9IWilhiDGvuDMl9jMmPHJrky2jFqE1JSUtKBAwfef//9O3fuUPlJE4KTk5OBgUFOTp+H0KUAACAASURBVI5EIqmrq0Mmf3KuXr0qFovLyspkMtn169e7u7v5fH5LS8vYsWORCrm5uW1tbSKR6PTp015eXqptnZ2dGQxGTk6OVCq9c+cOAMDW1lajWJJWubm53d3dAoGguroaWQpXJTs7WyAQiMXikpISVD0sLi4uRkZG58+f7+3tFQqFp06dmjVrFvoteRc6hMfjubu737t3TyQS8fl8f39/AMCECRMsLS2zsrIQHYqLi0kkYO1VKBQmJiYWFhbUmyCQWI0bDoVCceLEiWXLlkVHRx8/fhw9rcMmA0k0b9y4IZFIBuU0XGlETsvNze3q6qqvr6+urrazs9NCMq7HqA+ioKAg7LdKpTItLa2hoWHbtm1r1641MTEh9xJRaMjTmLpvX79+bWJigqtARUWFq6urqakpAGDmzJm3b98m0VOjSrrNDfK+ELCJMaixPyjzNSqMHZtUTBgso3wPycbGBlnsInquQQ0ej9fa2or+29vby+FwyJt0dXUhH/r6+jo7O5HPEokE3Qa3ra0N+SASiUxNTWk0mlKpREqsrKzGjh2bmZmJSuNwOMgJI4lYFotF1KqjowPVHD0RRvHx8fHz87O1teVyuSQ3q62srFpbW1ElhUKhapaQd4Giqh4J8fHxRF/Nnj2bz+eLRCIAQEVFxfz58/Py8mxsbJqamijeZMba+/LlyzNnzmzatKmlpSUrK0s11kRNEEisJgpibW2tUqlkMpmqcrDJQJIDaKfUwZVmZmaG67T29nbkg1gs1rhrM5GeWI9RHERMJnPq1KknTpzAfiWTyc6ePXv16tWVK1cmJyfv2rWLipfUQkMxjTVibW1dW1tLpMCjR488PT2fPHnCYrH4fL6fnx+RnhpV0m1ukPeFgB1Ngxr7EomEuvkaFcaOTSomDJZRvofU2tpaXFwcGBh48eJFBoNhaGjY398PACCaZnp7e1UfGLW2th66GmZmZsjCuq2tbXt7O+pfAEBXV9fz58937do1KIHatXJ1dV2xYkVWVlZTU5O7uzt6rY2ls7PTxsYGnTitra3RIxd1SGYaKtDp9ICAAC6Xq5rc7u7uIpGIYlCI7C0sLCwuLg4PD9+4cWNKSgqVJuQQhcPV1ZVOpzMYDGdn52fPniGF2GQgiSb1K3tyZTw8PIaeybiScT1GcRD5+vreu3cPe1cDRSQSfffdd2lpaY6OjlrkPHkaU/Stq6urnZ1dVVXVuHHjcBUoLS319fW1sLAoKSkBmsYmuUq6zQ0qoxg7mgY79qmbT8XhamNTozJSqVT1qE6F0byHRKPReDxeUFBQXV1df3+/UCicP38+k8kMDg62srLCbcLn8zkcTkhICJPJnDJlyrRp04auRmRkJJvN5vF4K1euLCoqwnYXHBw8qBcgDaoVcuuITqfzeDyRSITcY1Rd1kcroCV1dXUAgIiICBaLxePxVqxYUVBQQF09neDh4WFqavrhhx/G/5u7d+8GBQXx+XwDA4Nly5axWCwnJydkHQ9rAgCAyF4EgUBgaKh+tkTehAjccBgaGsbFxWVnZ589e3bt2rWobthkoBhNXBspKoPrtMGCKxnXYxQHUVBQEO6Dv05OTosXL+ZwOAwGY8qUKUZGRh0dHVqMlKGkMTJegoODN27cePz4cWTBHFeBe/fuOTs7e3p63rp1C2iKJrlKWueGKmieUDEfmxiDddqgzMcqifstOjY1KqN2VNfkGwBG8QopKSkJANDd3V1aWpqTkwMAOHbs2Lp16xYvXlxQUICYikUqlR48eDAmJmb58uUPHjwoKChQvbOqHQ8fPvzb3/5Gp9NLS0svX76s+lV/f39GRkZMTMzKlStlMllFRcXRo0c1ChxUq+Li4sTExC+++CIlJcXX13fXrl2NjY3l5eXoTWy0wmeffYaUDAwM7Nu3b82aNbt37+7p6SksLKS44KlDAgMDCwsLVRedL126tGXLluPHj+/bty8mJmb37t1dXV2I4aomoG+TqqysxNo7efLkhIQEY2Pj5ubmH374Qa1T3CYawQ1HeHg4+oBZaGhoWFgY8lwDNhkoRhPXRorKyOVyrNOogAwiAEBvb+9HH32ElYzrMSqDyMHBQalUNjQ0YDsVCoVhYWE7duwwMDBoaGg4cOAAsmQ92JGidRonJSUplUqxWMzn8w8ePIgEkShM/f39NTU1PB7v1atXJNWoqKR1bqiimicazccmxmCdNijzcZVEkxk7Nqkoo3pUJ/cMAs3R0ZG8hpmZGXb9+jfzclXsY+WQ3y0wGVBiYmIEAoHagsHvGZgbQ0cmk/X09JDX0fIKSc+nGQgEojUMBsPb2/vMmTOjrQjkd8doPtQAgUD0ELlc/te//nW0tYD8HtFyyQ4CgUAgEOpQWbLT67d9QyAQCOT3A5yQIBAIBKIXwAkJAoFAIHoBnJAgEAgEohfACQkCgUAgegGckCAQCASiF8AJCQKBQCB6AZyQIBAIBKIXaPmmht/Mu+wgEAgEoidoOSENDAxQmWlIXnusK4KDgxcsWPB///d/8L2HEAgE8kaj/ZKdAQG2trYsFgv5rENFiSgoKHj69OmECRNGoC/qzJo1KzU1dehbY0CGSExMzNy5c0dbi98CPj4+GzduHG0t9C6gozXSGQxGSkoKsif9CDOsmaDje0g0Gi0yMjIhIQG7uxoVMjIy2Gw2xcrh4eFffPHFW2+95e3t/eLFC53LR4iNjZ0zZ85gpZWWllZWVlLcsGck0cID+g/WKBqNtmPHDi6Xe/LkyZkzZzo5OX355ZchISHUZTKZzI8++uirr75yc3NDROF2NDLg9qtaOGnSpN27d0+dOnWwQjQybdq0jIwMNze30NBQ6hs1kcPj8bZu3WpqaqpFW60DqoaBgcHmzZspHlhHfqQT9chgMLZt2/bee++FhITcuHGjpaVFt/2SdD0cmYBFx2/79vDwsLKyKikp0bhnrYODw9KlS93c3AwMDGpra3/88ceuri7qHTk4OFhbW+/bt2/RokUffvjh0LQmxMvLSy6X4+6bSQ6Xyw0ICLh+/frQddi2bZuDgwPyub6+/u9///vQZQ4rdnZ2S5YsmTRpkrGxcWdnZ2Fhodq2hyOAUqncvn078jktLe2DDz5ITU1dsmTJw4cPW1tbqUgICgrq7+//6KOP5HI5Koo6Ixk1ZDvOlJSUhISE58+f9/b26kqyubl5QEBASkpKbGxsenq6TCaj0mrhwoVisZho1NBotJiYmMOHD4vFYi1U6u/v1y6gaoSHh+fl5dnZ2QUGBqLbPpFrjosORzqV3iMiIk6fPu3h4SEUCisqKobeKUVwM0ELd2lEBxMSuqc6jUYLDAzs7+9H9m8nYcqUKfHx8Xl5eSdPnpRIJN7e3hMnTiwvL6feaX19PbJr4ddffz0E3TVw//79+/fva9Hw1atXmzZt0pUa6enpjx490pW0YcXDw2PDhg2XL18+c+ZMb2/vhAkTZs6cOboqKRSK/fv3AwC++eYb6q0sLCyeP38ul8u17nfEoiaVSg8dOgQA+Oc//6lbySKRKCMjAwDw5ZdfUm81ZsyYxsZGom+VSuUQ9dQuoGpcuHABAPDkyRPVQnLNcdHhSKfS++nTpwEANTU1OumROriZoIW7NDKkCYnFYi1cuLChoQGZgdDLI/JzNAaDsX79+p9++unOnTtISXFxMfqti4tLVFQUh8O5c+dOVlaWmZnZ7t270ZAnJSXl5+dXVlYGBAQsXLiQy+XW1dUdPnwYeaIhIyPj22+/jYqKsrCwKC4uzs7OxvauJh8AYGlpuXr1and3d7lcXlZW9vPPPyOHIdwu1Bg/fvzy5ct5PN6jR4+OHDmCGE5dt3HjxsXFxY0fP14gEPD5fBaLdeTIEY1uDw0N9fT0TE9PBwCsX7/+1atXFy9eZLFYq1evnjx5Mp1Oz8rKKi8vt7S0jIuLc3V1bW1tPXr0qEAg0Ch5iDAYjD/84Q8nTpxAz0gePXqEHpSJ/JyRkXHs2LHIyEgTE5Offvqpp6cnNjaWyWTm5eUh24qrQhRibFjRLT6xfiBKKrSXhIQEZB6NjIyMj4/H7haqhW+HL2q4TbCScb2kCrYJNpM1ui4pKcnDwwMAsGrVqs2bN6emph4/fjw6OjonJ6esrAy3La6qaJ2ysrLCwkLEzO3bt3/88cfm5ubkLtKYUbipqKa52gXccI90td5xg0UygrQ7tlAfTVhLyd2lNUO6hySTycaNGxcYGGhqakr98sjV1ZVGo6GzkRqzZ89OS0tLTU318/MjWZm1t7fPzMxMTk4GAISGhqLl/v7+e/bsSUtLCwwMdHFx0SifRqMlJiY2Nzdv3bp1z549Li4u4eHh5F2oMnfu3AMHDmzZsoVOp69YsWJQutHp9A0bNtTU1Hz88cenTp2aNWsWqdv+w6+//mphYeHh4eHg4ODi4oKMsU2bNslksh07duzdu9fY2JhOpycmJj579iw5OfnatWsJCQk0Go2ifK2ZOHEijUbDTQASPwMApkyZsnPnzqysrDVr1oSFhe3atSsjIyMiIgJ3LRs3xERpo50fvvnmm19++eXcuXPx8fHYb7WTOUxRI2qiJpncSwjYJlSGgBrp6elFRUXZ2dnx8fHIQcrDw2Pr1q35+flETXBVRSgpKZk+fTry2cfH5+7duwqFgoqLSDKKKBWxmqsy3CMd2zv1I5V2PeI2RAqxeYK1lNxdWjOkCUkulxcUFBgZGQUFBSGXR3fv3tW4hM3lcoVCIdG3ubm5XV1d9fX11dXVdnZ2RNWys7MFAoFYLC4pKVF91CQ3N7e7u1sgEFRXV6OL+CTyXVxcjIyMzp8/39vbKxQKVYNH1IWatLa2NpFIdPr0aW9v70Hp5uTkxGAwcnJyxGJxXV0dupCNJSkpKTMzMzMzExkJCoXixIkTy5Yti46OPn78uFwunzBhgqWlZVZWFiK/uLjY2dkZES6VSpG539bWlki+rrC0tGxra0M+m5qaZv4bAACJnwEAV69eFYvFZWVlMpns+vXr3d3dfD6/paUF1+24ISZKm+HwA0WZIxM13CZYyeReAgDgNqEyBDRy48YNiURC9C2RqggVFRWurq7I4w8zZ868ffs2RReRZBR5KhIxMiNdrUeKR6qh9EhxNOkkE6gw1HtIVVVVPj4+06dPnz59OpXLIwCARCKxtLQk+ra9vR35IBaLSXaq9fHx8fPzs7W15XK5qiv1HR0dyIfe3l61sy1c+VZWVq2trcg9MACAUCi0sLAg70IV9PgrEomQy0SlUklRNx6P19zcjHbd09ODdq0G9m5EbW2tUqlkMplIuY2NTVNTk0KhQCtYWVmNHTsWmQwQOBxOU1MTrnwU1fok4F43AADEYjEaWbFYHB8fb2pqum/fPkQfIj8DANDnWfr6+jo7O5HPEokENwFwQ0yUNrh+GOJP1ij6dmSihtvEzMxMTTICyeDCKgOoDQGNoPHCBbdfFIlE8ujRI09PzydPnrBYLD6f7+fnR8VFJBnFYrFIUpGIkRnpqlA/Ug2lR4qjSSeZQIWhTkhKpfLq1auxsbEAACqXRwCAp0+fImsXVAyTSqUMBsPQ0BB5bI/D4QAAXF1dV6xYkZWV1dTU5O7ujl7Ua0FnZ6eNjQ36XIa1tTUSDIpdmJmZIUc3W1vb9vZ2pVJJXbfe3l7ViXlQP2VwdXWl0+kMBsPZ2fnZs2cikcja2lq1QldX1/Pnz3ft2kVdJiCeaSjy5MkTosgS+Xm4wfWDoaEhNqmGKJMKwxE13CYeHh5qkjWCVQY3k3HHIznoK11w22L7VaO0tNTX19fCwgI52dXa+SjapeJojXTt1NZJjyg6PN5qRAe/Q6qvr6+oqGhvb6dyeQQAEIlEOTk5GzZsmD17NpvNZrPZwcHBPj4+uJX7+/uFQuH8+fORZ1utrKwAADweTyQSITcz/fz8hqJ8XV0dACAiIoLFYvF4vBUrVhQUFFDvIjIyks1m83i8lStXItfF1HXj8/lcLnfevHlMJnPKlCnUw2xoaBgXF5ednX327Nm1a9fS6XQ+n29gYLBs2TIWi+Xk5OTv78/n8zkcTnBw8Ei+uqm3t/fs2bMJCQkBAQFsNtvY2NjV1RX5isjPww2uH3CTaogyNTJMUcNtgpVMRY5aE9xMpuI6sVhsb29Pp6sfW3DbalT13r17zs7Onp6et27dIrJ3UJCkIpHmYERGOknv5Gpr3SNFiCxFFebxeJ9//rl2vz1VQze/Q8I+DUVOXl5eZ2dnWFjY2rVre3p67t+/f/bsWaLKx44dW7du3eLFiwsKCpCoVFZW+vr67tq1q7Gxsby8fCi/ShsYGNi3b9+aNWt2797d09NTWFh47do16l08fPhw27ZtNBqttLQU+bUNdd2kUulXX321Zs2a5cuXV1VV3bp1y8TEBLdmUlIS+nnDhg3h4eGNjY18Ph8AEBoaGhYWduXKlX379sXExOzevburq+vo0aP9/f0ZGRkxMTErV66UyWQVFRXD91s2Va5du9bR0bFgwYI1a9bIZLKWlpZjx44BYj8PN0R+wCbV0GWqMTJRw20il8vVJGs0Ctvk5cuXuJms0XXFxcWJiYlffPHFZ599pvYVtq1GVfv7+2tqang83qtXr4js1WidKiSpqKq52mvPRmCkk/iNXG2te6QIkaWowmlpaTQaTSePTdEcHR3Ja5iZmWGX8uHLVXXOe++99/Lly5E5TEMgkNFi5Ee6nhxbZDJZT08PeR0tl+yYTCaLAnA2ogKTyfT39/fy8iorKxttXSBvKklJSSPwIOVviQ0bNkycOHEkexz5kf7GHVu0vEKC6ITk5GRHR0elUtnQ0HDmzBlkPQcCgfzGGPmRrofHFipXSHBCgkAgEMiwM4xLdhAIBAKB6BY4IUEgEAhEL4ATEgQCgUD0AjghQSAQCEQvgBMSBAKBQPQCOCFBIBAIRC+AExIEAoFA9AI4IUEgEAhEL9Dy5arwXXYQCAQC0S1aTkgDAwNUZhq1N+ZCIBAIBEKE9ttPGBgY6FAPCAQCgfzOgfeQRhMajbZjxw4ulzvaikDeVH7PKZSRkcFms0dbC828KXrqA7rZoG+wbNu2zcHBAQAglUqbm5tv375dUFCgUChGoFOlUtnZ2Xn79u0LFy4Md49ELFy4UCwW37x5U6lUbt++fVR0IOHdd9/18fFJTk4m8Q9qwkgqNsIQ2TiK2YvtdOgppJNQmpqapqSkbN26VS6Xq+msDyMOFwcHh6VLl7q5uRkYGNTW1v74449dXV3D2qN2riZq9Zscg6MzIQEA0tPTa2trORyOi4tLVFSUs7Pzt99+OwKdPn782N7ePiEhobu7+9dffx3uHnEZM2ZMY2PjqHStEQaD4ePj09LS4uXlVVlZSVRNn03QFSQ2jlb2DkenOgmln5/f3bt3VWcjBD0ZcVimTJkSHx+fl5d38uRJiUTi7e09ceLE8vLyYe1UO1cTtfpNjkEDDodDXsPIyAh7u0gul1PZk4Ko2ttvv11TU9PW1iaVSpuamqqqqmJiYqqqqrq6uiwtLTds2BAbGztjxowXL14g5ywZGRnt7e2bNm1aunTp69evORxOUlLSkiVLlEolshGypaXlH/7wh9jY2JCQEEtLyydPnmDPxdBOu7q6aDTalClTSktLMzIyXr9+/ec//1kmk7148YKod4FAsHHjxujoaGdn55qaGmTgBQQEJCQkREdHT5o0qbq6uq+vD6msKhBbJykpacaMGVOnTn3nnXeuX7++d+/eoqKivr4+IhMyMjKam5s/+OCDZcuWsdns6upqjW4fCjNmzGCz2eXl5b6+vqWlpUghi8WKi4uLjY1dtGhRe3v76tWrVU1QPQzh+mTRokV//OMfly5diqs/kRvJrcZGKjQ0NDIy8vbt2wCA9evX29vbP3nyhCh2RIFGYxcVFUVk4+hmL7bTjIwMJIWoJDN5KM3MzIiSUFUyNm3i4uLOnTsnEolwdR7siMMmDG6SLF68+Pr168jYoSIEhcFg/OUvfzl16lRBQYFYLJbL5fX19U1NTSSxwE1ItS7MzMzS09Nzc3ORXpKSkqRSaUtLC6LnBx98oOpqX19fKmmvdrhA81CtnChwqhCNheE+BqICL168KJPJsMmjil7cQxIKhXV1dW5ubnQ6PTEx8dmzZ8nJydeuXUtISED3aZ8yZcrOnTuzsrLWrFkTFha2a9eujIyMiIgINptNo9ESExObm5u3bt26Z88eFxeX8PBw8h4NDQ0R3wEAPDw8tm7dmp+fT9L73LlzDxw4sGXLFhqNtnLlSqTQ3t4+MzMzOTkZABAaGooKRwXi1klPTy8qKsrOzo6PjxeLxUgTchP8/f337NmTlpYWGBjo4uIyVHeTEhQUVFFRUVlZOXnyZEtLS6Rw06ZNMplsx44de/fuNTY2xjWByCdOTk5z5szZuXNnYmJidnY2tkciN5JYjRupX3/91cLCwsPDw8HBwcXF5cqVK0hlbOxIAo3GjsRGNUY+e1U7VSvXmMwkoZRIJCSaqGa1Gk5OTn19fcgBnQjqIw43YYiSBBBEkzzrXF1daTTanTt31MoHNQw1JrYaahlFMe2J8pB64FTBPY5pjAhJW43HQFWBGl0E9GRCAgC8fv3axMTE2dmZwWDk5ORIpVIkXdBdma9evSoWi8vKymQy2fXr17u7u/l8fktLy9ixY11cXIyMjM6fP9/b2ysUCk+dOjVr1iyijgwNDSdOnBgaGoqcSgMAbty4IZFIAAAkvefm5ra1tYlEotOnT3t5eSGF2dnZAoFALBaXlJSMHTsW7QIVSFJHDXITcnNzu7u7BQJBdXU1ciNhmODxeO7u7vfu3ROJRHw+39/fHwAwYcIES0vLrKwsRIfi4mISCVh7FQqFiYmJhYUF9SYIJFbjRkqhUJw4cWLZsmXR0dHHjx9HzyWxsSMJtGrsqDNi2YvtVK2QPJnJQ0muCYlngoKCCgsLifQc7IjDTRiScURdCAqXyxUKhdjyQQ1DjYlNjhZpTwT1FMI9joHhPAaqCqRiy6jdQ1LD2tq6trbWyspq7NixmZmZaDmHw0HOvND7jX19fZ2dnchniURiZGTEYrFaW1uVSiVSKBQKibIkKSlpYGCgtbX1zJkzVVVVSGFHRwfygaT3trY2pEQkEpmamtJoNKVS6ePj4+fnZ2try+VyHz16hLZCBQIAiOqoYWVlRWICKrC3t9fY2JhIiKrmJMTHxxN9NXv2bD6fjyy8VFRUzJ8/Py8vz8bGpqmpieLtaKy9L1++PHPmzKZNm1paWrKyslpbWzU2QSCxmihStbW1SqWSyWSqysHGjiTQqrGjzshkL26naoXkyWxmZkYSSopJqAaTyZw6deqJEydwv9VixNXU1GAThmQcUReCIpFI0Kt/LTyAJKTGxCZHi7QnglxtVXCPY2A4j4GqAtetW6fRFr2YkFxdXe3s7KqqqsaNG/f8+fNdu3YNqnlnZ6eNjQ3qXGtr6/b2dtya6enp2FkBfeVEV1cXUe9mZmbd3d0AAFtb2/b2dqVS6erqumLFiqysrKamJnd39+nTp2MFktTR2gQSSGYaKtDp9ICAAC6Xq5qO7u7uIpHI2tqaigQiewsLC4uLi8PDwzdu3JiSkkKlCTlEkXJ1daXT6QwGw9nZ+dmzZ0ghNnYkgaby/hFspyOTvbidqpWTJ7OHhwdJKMk1IfKMr6/vvXv3sI8zIGg34tQShjxJKApR/erp06fI6q6aboONhVoXUqmUwWAYGhr29/cDAEhuz2uX9kRQVxs7FpDy4TsGkgjEZTSX7Oh0Oo/HCw4O3rhx4/Hjx5F1DA6HExwcPKgXDiF3hiMiIlgsFo/HW7FiRUFBgRb6kPQeGRnJZrN5PN7KlSuLiooAADweTyQSCQQCAICfnx+uQKI6yAoynf4f5+vKhKHg4eFhamr64Ycfxv+bu3fvBgUF8fl8AwODZcuWsVgsJycnZB0PawLQ5BOBQGBoqH4CRMWNWHAjZWhoGBcXl52dffbs2bVr16K6YWNHMc1wbUQZlezFdkpUE1cZ8lBql4RBQUFaP3lM7jE0YciThKIQVUQiUU5OzoYNG2bPns1ms9lsdnBwsI+Pj3YeQLvo7+8XCoXz589nMpnBwcFWVlZqNVFXDyrtifJQi8Bhx4IaOj8GDnZQjNoVUlJSklKpFIvFfD7/4MGDfD4fANDf35+RkRETE7Ny5UqZTFZRUXH06FGNogYGBvbt27dmzZrdu3f39PQUFhZeu3ZNC5VIen/48OHf/vY3Op1eWlp6+fJlAEBlZaWvr++uXbsaGxvLy8uxt5dJ6hQXFycmJn7xxRefffaZbk0YCoGBgYWFhar3CS5durRly5bjx4/v27cvJiZm9+7dXV1diE9UTUBXh3HtnTx5ckJCgrGxcXNz8w8//KDWKRU3YsGNVHh4eGNjI5JIoaGhYWFhyHMN2NhRTDNcGxFGJXtxOx2Ui+RyOXkoB5uEyM+MGhoaNJpJXUlswpAnCUUhauTl5XV2doaFha1du7anp+f+/ftnz54d1DDE7eLYsWPr1q1bvHhxQUEBMk+ogro6JSWFetoT5aEWgcOOBTV0fgxUFfj++++TmIlAc3R0JK9hZmaGfXT7d/Vy1YyMjC1btpCcjUL0Fhi7YSUmJkYgEOCea0P0jaGMBZ2MI5lM1tPTQ15Hyyuk38A0A4FAhgKDwfD29j5z5sxoKwL57aAXDzVAIJA3Drlc/te//nW0tYD8ptByyQ4CgUAgEOpQWbLTlx/GQiAQCOR3DpyQIBAIBKIXwAkJAoFAIHoBnJAgEAgEohfACQkCgUAgegGckCAQCASiF8AJCQKBQCB6AZyQIBAIBKIXaPmmht/Vu+wgEAgEMgIYkGzagWBkZGRgYKBW2NfXx2QyDTUhl8vhWx4gWrB3796BgQF0TyMIBPKmMzAwIJPJyOtov2RnQICtrS2LxUI+ay389wmDwUhJSSHZ6fz3Q1pa2owZM4YoZNasWampS29VoQAAIABJREFUqTweTycqkQADB4HoBB3fQ6LRaJGRkQkJCdhNsfSHjIwMNptNo9F27NjB5XLVvg0NDaWy1S4WQ0PDTz75ZPz48YNtyGAwtm3b9t5774WEhNy4caOlpYWKwpMmTdq9e/fUqVO1UHX4QFTVujmbzU5NTY2IiIiOjibZ8Z1ij6WlpZWVlRT3WNKCUQkcrr2GhobJycnOzs7aNadYwcDAYPPmzRs3bhystjofayh0Oj0xMfGtt97SqIMWFah7FaIrdDwheXh4WFlZPXz4ENnEl4ht27ZlZmZmZmbu379/y5Ytc+fOJdqXc/hQKpXbt29H937XjoULF86ZMwf53N/ff+jQoejoaAaDMSghERERp0+ffv36tVAovHHjBhWFkS0pU1JS5s2bx2KxhmCB9jg4OPzpT3/68ssv9+/f/8EHH1hYWAxdZnR09P79+62trc+fP3/hwoUhSuNyuQEBAeQb2Q2FEQucaprhguReZGTksN6yDQ8Pz8vLq62tDQwMHFRDnY81FIVCkZmZGRYWZm5uPhThuIyMVyGq6OA6Bt3LnUajBQYG9vf3l5SUaGyVnp5eW1vL4XBcXFyioqKcnZ2//fZbbDVXV9fw8PB9+/YNXc/hYMyYMY2Njei/XV1d6enpyGfqmp8+fRoAUFNTQ71fqVR66NAhAMA///nPwWmsI6ZMmRIfH5+Xl3fy5EmJROLt7T1x4sTy8vIhiv3uu+8AAIcPH9aFjuDVq1ebNm3SiShcRixwammGi0gkQnNvmEBOEZ48eTKsvRBB5ASpVDp8ho+AVyGqDGlCYrFYCxcubGhoQGYg5PKopKSkt7eXSnOlUtnZ2VleXi4QCFJSUq5evdrR0bF79270IJKUlOTk5HTq1CkAQEZGxrfffhsVFWVhYVFcXJydnQ0AGDduXFxc3Pjx4wUCAZ/PZ7FYR44cUetl0aJFISEhxsbGRUVFSCsUdBtEHo8XFxfn7OyM7oGNYGlpGRcX5+rq2traevToUWT3eJSkpCQPDw8AwKpVq7Zs2bJ9+3ZczcmVsbS0XL16tbu7u1wuLysr+/nnn+VyOZHHUIWxipmZmam5Lj8/v7KykkogBguDwVi/fv1PP/10584dpKS4uBj9FjnD4HA4d+7cycrKwlUsODi4oqKioKAAAMBkMvfs2fPpp58aGRlhvY0bdzXGjx+/fPlyHo/36NGjI0eOIOkXEBCwcOFCLpdbV1d3+PBhZLNLHWbRiAVONc02b96M9fCgjMVtTsWfVOwdmbG2efPm1NTU48ePR0dH5+Tk5Ofno8J1azLWq3/+85+xeUvxcAehwpAWymQy2bhx4wIDA01NTQd1eaSGUCisq6vDXev/7rvvbt68iXz29/ffs2dPWlpaYGCgi4sLnU7fsGFDTU3Nxx9/fOrUqVmzZmGbOzk5zZkzZ+fOnYmJibjHMvDvZeinT58mJyefPHnSz89PtfzZs2fJycnXrl1LSEig0WiqDdPT05GBFx8fL5FISDQnUoZGoyUmJjY3N2/dunXPnj0uLi7h4eEa3aVRseHG1dWVRqOhs5Eas2fPTktLS01N9fPzI7p/c/v27enTpyOfp02bVlNTI5FIiIxSiztW2ty5cw8cOLBlyxY6nb5ixQqk0N7ePjMzMzk5GQAQGhqKVtZJFo1k4FTTTCwWAzwPUzQWKdQYIKw/qdg7YmMNcYKHh8fWrVvz8/PVutCVybhexeYtnI10y5AmJLlcXlBQYGRkFBQUhFwe3b17V7sIvX792sTEhLxObm5ud3e3QCCorq52cHBwcnJiMBg5OTlisbiurq6oqAjbRKFQmJiYkN/ecHJyMjAwyMnJkUgkdXV1hYWFSLmzszMiXyqVIgdfW1tbLUwjUcbFxcXIyOj8+fO9vb1CoZDogKiGzhUbLFwuVygUEn2bm5vb1dVVX19fXV1tZ2eHW6eysnLChAnITRQfH59bt26RGKUWd9we29raRCLR6dOnvb29kcLs7GyBQCAWi0tKSlSff9NJFo1u4LAepmgsUXOsfDV/UrF3hMfajRs3sGeBOjQZ4HkVm7fkSkIGy1DvIVVVVfn4+EyfPn369OnaXR4hWFtb19bWktdBb4r29vYaGxvzeLzm5mbk9hUAoKenBzsYXr58eebMmU2bNrW0tGRlZbW2tmLF8ng81fLe3l7kt1lWVlZjx47NzMxEv+JwOE1NTYM3jlAZKyur1tZW1AShUEjl0QBcxZBVGoqotiUhPj4et1wikVhaWhK1am9vRz6IxWKiX6H19fU9ePDA09Pz/v37Dg4OVVVVM2fOJPK2Wtyx0tra2pAPIpEIuVhXKpU+Pj5+fn62trZcLlf1gT2dZNFoBQ4B62GKxhI1VwPrTyr2jvBYI3pEQlcm46YQNm9JNIRowVAnJKVSefXq1djYWACA1pdHrq6udnZ2VVVVUqmUwWAYGhoiD+mR/2i3t7dX9bBI9HOTwsLC4uLi8PDwjRs3pqSk4MpRfSDV2toa+dDV1fX8+fNdu3ZRMYGi5mrKdHZ22tjYoE+FWFtboyOHBFzFDA0NqbuOaKahyNOnTy0sLDw8PKg8mU3kmZKSkrfffptOp9+9e1ehUAzK22qYmZkhh3VbW9v29nalUunq6rpixYqsrKympiZ3d3d0mQWLdlk0WoHDhbqxFMH6k6K9IzPWEKi8KYY61FNILW91qAME6OSx7/r6+oqKivb29sFeHtHpdB6PFxwcvHHjxuPHj3d3d/f39wuFwvnz5yNPx1pZWZE05/P5XC533rx5TCZzypQp5ONQIBAQ/TSKz+dzOJyQkBBEzrRp01TLg4ODSR76FIvF9vb2dDp9UJqjytTV1QEAIiIiWCwWj8dbsWIFcr+UHFzFBqXAEBGJRDk5ORs2bJg9ezabzWaz2cHBwT4+PriViRSrrq62t7f38/ND1j2oeJuIyMhINpvN4/FWrlyJrLnxeDyRSITcGEdvVOCiXRaNcODQNMMVS91YimD9OSh7h3usDck2AqinkFre8ni8zz//XJ9/dvlmoRs/XrlyZbBNkpKSlEqlWCzm8/kHDx5En7c5duzYunXrFi9eXFBQgAwDIqRS6VdffbVmzZrly5dXVVXdunULexdq8uTJCQkJxsbGzc3NP/zwA5GcgwcPxsTELF++/MGDBwUFBchpcn9/f0ZGRkxMzMqVK2UyWUVFxdGjR9XaFhcXJyYmfvHFF5999plGzbHKDAwM7Nu3b82aNbt37+7p6SksLLx27ZpG1xEpRt11QycvL6+zszMsLGzt2rU9PT33798/e/YsUWVcxZRK5b1799zd3evr60mMosLDhw+3bdtGo9FKS0svX74MAKisrPT19d21a1djY2N5eTnJb2O1y6IRDpxqmmG/pW4sRbD+pGLvSI61IRpIxWQir6rlLQCARqON8FNFv2Fojo6O5DXMzMywq656+HLV99577+XLl1SOCxA9Ye3atc3NzXoVMphFEI3oYd6+Echksp6eHvI6Wl7/MplMFgW0no22bNlCctscq4y/v7+Xl1dZWZl23b2hJCUljfDzdTrE3d3d29v79u3bo63IvxjJLHpzA7dhw4aJEyeOthajib7l7W8MLa+Q9ITk5GRHR0elUtnQ0HDmzJnhe0kMRLds2LDBxcXlyJEj1dXVo60LzCIIVfQqb984qFwhvdkTEgQCgUDeCIZxyQ4CgUAgEN0CJyQIBAKB6AVwQoJAIBCIXgAnJAgEAoHoBXBCgkAgEIheACckCAQCgegFcEKCQCAQiF4AJyQIBAKB6AVavlxVD99lB4FAIJA3GgON+68YGRkZGBioFfb19TGZTENNyOVy+JYHCER/2Lt378DAwLNnz0ZbEcjvjoGBAZlMRl5H+yU7AwJsbW1ZLBbyWWvh+sOsWbNSU1OJ9m2DQIaVqVOnfvTRRzrc3SAtLW3GjBm6kjbcxMTEzJ07d/jk+/j4bNy4cfjk6zP/+7//u3z58tHWQh0d30Oi0WiRkZEJCQna7VhlaGiYnJzs7OysK31iY2PnzJmjsVpGRgabzcb9qrS0tLKycuh7zGAJDQ39+9//jm6aqefMmjXr//2//zd0OdOnT9+7d29AQMCcOXO8vLyIqtHp9MTExLfeekuLLlSjaWBgsHnzZpKDDjb0JMlABMU0I+mCRqPt2LED3U118uTJX3311eTJk8PDw7///nt073DqMtUEstns1NTUiIiI6OhoKvv86gknT56cOXOmk5PTl19+GRISoiux06ZNy8jIcHNzCw0Npbjtlpp7qeSnFok0rKjpk5aWhm6QqD/oeKNDDw8PKyurkpISZD9mIrZt2+bg4AAA6Onpqaio+Omnn+RyOQCgv7//0KFD8fHxBw4ckEqlQ1TGy8tLLpffvHkTLVm4cKFYLFYt0QiXyw0ICLh+/foQlVFj7NixY8eO3bt3b0xMzMGDB5G9kLVQTwu8vLwWLlw4fvx4pVL5/Pnz8+fPa3y/tZWVlZ+f34EDB9ASrVX18vL6xz/+ER0dPX78+L///e/YCqjkzMzMP/3pTy9evBCJRIPtBSU8PDwvL8/Ozi4wMBDZCVTnYNMMF3KPKZXK7du3I59NTU1DQkK2b9++du3affv2aTcQVAUCAKKjo/fv379gwYLz58+/ePFisNJGJjOx9Pf3p6WlffDBB6mpqUuWLHn48GFra+sQZZqbmwcEBKSkpMTGxqanp2tcRMJFoVDoJD8dHByWLl3q5uZmYGBQW1v7448/dnV1AdJBSnTwnDBhQlRUlJOTk0wmy8/Pv3jxInnXy5Yte/z4sdaaDxM6mJBoNBpyBkej0QIDA/v7+6nsZZ6enl5bW2tlZbVhw4bQ0NC8vDykXCQSpaenD10rAMD9+/fv37+vWjJmzJjGxsZBCXn16tWmTZt0oo8qLS0tP/74IwDgq6++Qgu1UG+wzJkzJyoq6tSpUw8ePKDT6dOnT//www8PHTpUU1ND0qq9vX3fvn2qJVqr+v333wMADh06RFQBlSyVSoeeCRcuXAAAPHnyZIhySMCmGS7UPSYWi/fv3w8A2Lt371CV+zffffcdAODw4cPaNR+BzCRCoVAg3vjmm290IlAkEmVkZAAAvvzyy6HIGXp+TpkyJT4+Pi8v7+TJkxKJxNvbe+LEieXl5RoHKfbgaWpqmpSU9OOPP+7fv5/L5VK5mkRGor4xpAmJxWItXLiwoaEBmYHQy6Pe3l4qzZVK5atXr+7fvz9mzBikJCAgYOHChVwut66u7vDhw93d3WpNFi1aFBISYmxsXFRUlJ2dDQCwtLRcvXq1u7u7XC4vKyv7+eefkfMFrKikpCQPDw8AwKpVqzZv3iwWi1Uljx8/fvny5Twe79GjR0eOHEFMwNWHqEdVMjIyjh07FhkZaWJi8tNPP/X09MTGxjKZzLy8PGS798GqpxOYTOaKFSu++eabqqoqpCQ/Px8A8O677/7tb38zMzPbvXs3OvsmJSXl5+dXVlZaWlrGxcW5urq2trYePXpUIBCQqKqF4aoaqklOTU3dsmVLd3e3RrG4UIkUSkxMjK2tLTLvuri4REVFcTicO3fuZGVlkYjSmLG4duF2kZGRgRiLdThRaMgN+fLLL4kEUokUSVCOHz8eHR2dk5OTn5+v0QM8Hi8uLs7Jyam5uZnP55uYmBw5cgTXouDg4IqKioKCAgAAk8ncs2fPp59+amRkhKv8t99+GxUVZWFhUVxcjBwKcGGxWKtXr548eTKdTs/Kyvr/7N17XBNXvgDwk5CEQBACBOQphFAoYH0gCopQXNBV0aJUqLVKu9eidYW2S0vvrrZU1y3XKiLUSHul1VaLlWrtWq22RVddRcUXKuITRAIGCPJKyIMQyP1jdudmk8wweSCx/X0//oEnZ86c8ztn5mQembl8+bJhhSmGl6TLiOpjuAiOyWS+9tpr+/btu3DhApZSWVmJhtpI8cX1dp5cLpdOp1++fHlwcLCtrW3v3r1EAUHEg9loK3x8fDIyMsaMGSMSierq6jgczldffUVSuIUsuoakVqt9fHymT5/u6Oho0uERhkaj+fr6RkdH433v5+dXWlqam5uLEEpKStLLz+fz4+PjN2zYkJ2djQWLRqNlZ2e3tLSsXbt28+bNAoEgOTmZqKjCwkJsGsvMzDTc3c+YMaOkpGTNmjV0Oj0tLY2oEJI16omIiNiwYUNZWdkrr7wyc+bM/Px8oVCYkpKCncY1tXpW8cwzz8jlcnygY86fP+/l5UX0fl7sXPmDBw9yc3OPHz++YsUKGo1GXlVTG66LpGTyYg1R7ymEUGJi4jPPPFNSUoKdap42bVpBQcGmTZuio6NDQkJMGmZGGbZLbxXkAScqdsiGkBdIMaSGlQ8LC1u7di22oySPALb2+/fvv/fee+Xl5VOmTCGp/Pnz5yMjI7G/J06ceOvWLaVSSVT5qVOnbt68uaCgYPr06QKBgKjMrKwstVq9fv36rVu32tvbD1lhEkRdRlIfkkWCg4NpNBo+G+EobqR6O8+WlhaxWJyVlTXk7Vfk24VeK+h0+sqVK2/duvXuu+/u378/JiaGUqQsYNGE1N/ff/r0aRaLFRcXhx0eXblyheLhUU5Ozo4dO3Jzc/fu3Yuf8SgvLxeJRAqFoqqqysvLS2+RwcFBBwcHFxcXPEUgELBYrEOHDsnlcolEohsy8qIMHT16tL29XSaTHThwYMKECUSFkKxRT0VFhUKhuHTpklqtPnHihFQqraura21txcoxtXpW4eLi0tHRoZeoUqlUKhWHwzG6SFBQEJPJPHz4sEqlwjaeId+9PUwNJy/WEPWeeu6555KSkoqLi5VKJZZy9OjRnp6epqam2tpaX19fKw4znN4q8HQzAk7SEPICTQ0p7tSpU/gqyCMQFBTEYDCOHDmiVCrr6+vJL+NVV1cHBgZiQzEqKurcuXMklT969KhUKhWJRLW1tdg1FUOBgYGurq5lZWVYTuwQxOpdRlIfkkXc3NwkEonhWqhspIY7T61WW1BQ0NzcnJeXt2zZMgcHB6JWkG8Xeq3g8/lY/BUKxZDdZxWWXkOqqamJioqKjIyMjIw06fCosLBQJBK9/vrr48aNw2/7iYqKio6O9vb2dnNzM7wXqLGx8bvvvsvKymptbS0rK2tra3N3d29ra8PvQZJIJPh0RV6Uofb2duwPmUyGHfBptVrDQkjWqAe7OIkQ6uvr6+rqwv5WKpXYD7NMrR6mtLSUSrbMzEyj6QqFAr/tCsdms9lsNtG5Jnd3dy8vL931crlcsVhMsvbhaPiQxRqtOcWeSk1NPXbsWHd3N56C7xEUCgWLxbLiMCNahW61DQNO1DtDNoSoQKwHTQ0prrOzE/+bPALu7u6tra146Hp7e4l6AavGjRs3xo0bd/36dX9//5qamsmTJxNVHq+DXC7HDn0MeXp6isVi7I4hihUmQdRlGKP1IVlEqVQaPS1BZSM1uvNUq9UHDx6sqKhIT0/Pzc3Nz883emcZ+Xah1woej9fS0kKx+6zC0glJq9VWVFQsXboUIUT98Agjl8s///zzv/3tbxcvXmxoaAgODk5LSysrKxOLxaGhofjBu64zZ85UVlYmJyevWrVq3bp1XV1dnp6e+F0VHh4e2AigUpQeJycnrL+9vb07Ojq0Wq3RQojWaBIzqochmmkounv3LpfLDQ8P172FYdq0aY2NjVKplMFgMJlMBoOBjWPsF9M9PT0NDQ35+fmWrBdndsPNQL2ndu3a9frrrzc2Nt6/f9+kooajOUYDbrRrKDbEuj2IwZ/SMmQE5HK57m4XP6GkUqmMtqiqqur555+n0+lXrlwZHBy0sPIymUzvZxVGK0xUmWF1//59FxeXsLAwvUnR6EYaGxuLbaR4it7OE0+XyWQ7d+4sKCgICAior683XK9JezCi7hs+VvgdUlNT09WrVzs6OqgfHuHkcvkPP/ywdOlSOp3O4/FkMhl20TI6OppkKZFIhP3OCYt4SkoKh8Ph8XhpaWnYFVGiohQKhZ+fH51upNULFixwdnbm8Xjp6enYkanRQojWaBIzqmcVcrn80KFDmZmZU6ZM4XA4rq6uSUlJL7zwwjfffIMQ0mg0Eolk1qxZbDY7ISHB3d0dIVRXV8flchMSEvQeAWVeVal0sbWCQL2nRCLRrl27Vq9e7ePjY1JR1EcsotwuowE32jUUG0LUgyYhqvyQEairq3N1df3d737HZrMjIiLwGYuoRbW1tX5+ftHR0efOnbO88nV1dXZ2dgsXLuRwOHw+f+rUqUYrTDG81iWTyQ4fPrxy5cpp06Y5Ozs7OzsnJCRERUUZ3Ujnz5+/b98+vRJ0d558Pn/u3LlcLpfJZEZERLBYLN2jWF0m7cHq6urc3NwMu4/H43388cfm/diUnHX2fT///POOHTtMOjzCnTp1ys7O7vnnn6+urpZKpfn5+StXrqytrTXMGR4eXlRUtH379pSUlC+//BIhNDAwUFxcHBAQsHHjxnfeeefGjRvHjx9HCBEVVVlZGRoaumXLFsPxffPmzby8vL/85S/19fU//fQTUSFEazSJGdWzlp9++mnfvn2///3vN2/e/MEHH8yZM6e1tRU/l71nz57Y2NiCggIPDw9s4Go0GqFQGBMTU1hYWFRUlJGRYUlVh+xis0s2ZFJPXb9+/ciRI2+//bbRsygmDTNPT8/169eb3S6igBt2DcWGEBVoEqLKD9mhKpWqpKQkPj6+sLDw+eef1/0lk9EWabXaa9euOTk5NTU1mVR5o2Hv7+8vLi4ODAzcuHHj8uXLOzo6iCpMMbzWdezYsX379iUmJn788ccffPCBn58fdlSku5H+9a9/jYiIKCoqMvpjQXznKZFI/Pz8sHs35s2bV1JSgp+D1WPSdqFSqbZv3x4fH79ly5a4uLhz587hP9ui0WhWfIAIjhYQEECew8nJyfCEKTxc9deBzWYvXrx43LhxX3/99dWrV0e6Or8GsbGxrq6uQ/4s8bcpKSnJ19eX/L7hZcuWtbS0mPo9D8L+BCxfvryxsdGMr+AYtVrd29tLnsfMYy6YZizH5XJXr1790UcfjWAdVCoVdqz5K7Zy5cp//OMfRNeHrC4kJAT/lTcwVWho6IQJEw4ePGjqghD2YcVmsydOnDh+/PgDBw4M64rMPEICAABTkR8hrVy5UiAQfPXVV0Snc8GTl5ubGxAQoNVqm5ubv/vuuyEfM0aCyhESTEgAAACGHZUJCd4YCwAAwCbAhAQAAMAmwIQEAADAJsCEBAAAwCbAhAQAAMAmwIQEAADAJsCEBAAAwCbAhAQAAMAmmPnoIHiWHQAAAOsyc0IaGBigMtOoVCrzygcAAPBbY/4LLezs7KxYDwAAAL9xv8JrSDQabf369YavAf41rRHYPhiHT7WkpKRXX30VQVSfLDMfriqXyzkczpClE2ULDAxMTU3l8/lqtfrkyZPD9xaT2bNnKxQK3deCEcnLy/P390cI9fb2Xr16dd++ff39/cNUqyfm5ZdfjoqKys3NHRwcJMpDPURPL6I2wji0kKOj47p169auXWtYSSpjj9wT6x2jjD6Y3MKN5bewrZGw0YerOjo65uTknD17NicnZ9OmTc7OzsO3rtGjR1N/VHlhYeGKFSs++uijMWPGJCUlDV+tngwmkxkVFdXa2jp+/HiSbCaF6ClltI0wDi0XHR195coVw9mI4tgj8SR7hzoLN5bfwrZmITsul0ueg8ViGV4u6u/vpxJZo9k8PDzi4+O/+OKLgYEBuVxeU1ODpbu6uq5cuXLp0qWTJk16+PBhT08PQojD4WRkZCxdunTOnDkdHR1SqbSwsPDo0aPYIjk5OSqVqrW1VSgUdnd3/+lPf1Kr1Q8fPhQKhWfPnl29evWkSZPGjh37wgsvhIaGMpnMxsZGhBCbzd66des///lP3Q3p+eefv3XrVnt7u0KhcHFx8fT0vHbtmtFa5eTkMBgMkUiEfbpx48bjx49/8sknZ8+e7evrM8z/5ptvMhgM7JXMH3zwgZ2d3cOHDxFCW7ZsuXTp0vDd9zFp0iRnZ+fLly9PmTLl4sWLWKJePBcvXoyH6MSJE7oBiY2NXbFixaJFi5599tna2tq+vj6E0Jw5c95444358+c7OzsbvrTG6CJCobClpWX16tULFy40upRhxJKSkhYsWHD+/HmE0Guvvebn53fv3j2hUCgSiVatWrVo0aKgoKBbt25htTU6bHTHQ2pqqtE2wjjUHYcODg7kYcQy68nIyPj73/8uk8mojD2iHjSabknviMVi8mHp5ORktPt4PN4bb7zxyiuvjB8/XqlUMpnM69evYzXU68cTJ044OTn94Q9/WLp0aWJioqur671797BjQaKg5eTkUFl8yA3KcBs0TDEaJSoLDrl2XSQdqhsBV1dXrKU//vgj/gZ0IiNwhNTS0iIWi7Oysng83v/Xg07Pzs5+8OBBbm7u8ePHV6xYgb2wPSsrS61WY++Kt7e3Jyk2LCxs7dq1J0+exFMKCwvPnj1bXl6emZl59uzZyMhILH3ixIm3bt2Sy+WGhdBoNF9f3+jo6OrqaqJaVVVV4UVFRUVduXJFo9GQtOLmzZuhoaEIIWdnZxcXl2effRYh5OXl1dvbS/Tee6uIi4u7evVqdXV1eHi4q6srlqgXT90QKRQK3cX9/PxKS0tzc3MRQtj3dD6fHx8fv2HDhuzs7PLycsM1Gi6CmTp16ubNmwsKCqZPny4QCHQXMRqxf/zjHy4uLmFhYf7+/gKB4Oeff8Yyz5gxo6SkZM2aNTQaLT09nWhxLDM+HojaCOMQ/Xsc9vT0DBlGw0ry+fy+vj69vT/G6Ngz2oNE6VbsHaJhqQcr/P79+7m5ud9++210dLReBt1+VCqV2dnZLS0ta9eu3bx5s0AgSE5OxnMaDRr1xUlqbrgNGqYYjRKVBc2IG1GH4hGg0Wh4S4ki/x+9QCWTdWm12oKCgubm5ry8vGXLljk4OCCEgoKCmEwN7nGoAAAgAElEQVTm4cOHVSrVhQsXEELe3t6BgYGurq5lZWVSqVQkElVWVpIUe+rUKaVSSfRpdXV1YGAgdkErKirq3LlzhnlycnJ27NiRm5u7d+9e7JuR0VpdvXo1ODjY0dERITR58mTsizzGaP6bN29iG//YsWNPnz7N5/NpNFpISMiwvhaTx+OFhoZeu3ZNJpPV1dVNnToVIWRSPMvLy0UikUKhqKqq8vLyQggNDg46ODi4uLhQXwRz9OhRbI21tbXYBRKc0YgNDg5+8803CxcuXLRo0d69e/EDiKNHj7a3t8tksgMHDmDngowujmUmHw8IxqHOODQvjHFxcWfOnDFMNzr2MIY9SJRuxd4hGpZ6+Hy+nZ3d4cOHlUplfX290abhBAIBi8U6dOiQXC6XSCT79++PiYnBPx1y7JEvTlJzw23QMIVomxpywSHXboioQ/EI6LaUJCA482/7toRarT548GBFRUV6enpubm5+fr67u7uXl1dpaSmeh8vlOjk5icViihdFOzs7ST7t6+u7cePGuHHjrl+/7u/vj58B0FVYWCgSiV5//fVx48bdvn0bIWS0VmKx+Pbt2+PGjbt37x6Hw9F9p6/R/Ldu3dJoNJ6enmPHjj127JhAIPDz83v22WfPnj1LVFvdEkhkZmYSfTRt2rS6ujrsXMrVq1dnzZp17NgxT09P6vGMioqKjo729vZ2c3PDotHY2Pjdd99lZWW1traWlZW1tbUNuQgG7xq5XK73BZYownfu3NFqtWw2W7ec9vZ27A+ZTObo6Eij0YgWR0ONBwyMQ2wcmhFGNps9duzYb775xvAjo2NPq9UiYz1Ikm6t3iEalnp4PJ7ukJbL5SSXM9zd3dva2rDKI4QkEonunn3IsUe+OEnNDbdBwxSi3h9ywSHXboioQ/EI6LV0SCMzIWFkMtnOnTsLCgoCAgJ6enoaGhry8/N1M4SFhXl4eOimqFQqJpPJYDCwsxO6I2bIJ0dUVVU9//zzdDr9ypUrRMNXLpd//vnnf/vb3y5evNjQ0GC0VgihixcvTpkyxcXFpaqqSjedKP/NmzfDwsJ8fHyamppu374dGhoaGBi4c+dOoqqSzDRU0On02NhYNzc33UEZGhoqk8n04kkkODg4LS2trKxMLBaHhobip4bOnDlTWVmZnJy8atWqdevWUVmEHFHEgoOD6XQ6k8kMCgp68OABlujk5CSVShFC3t7eHR0dWq2WaHFEYTzgYBwGBwebGsYpU6Zcu3bN8HYGorF3584dZKwHsQxE6cis3tFldFga7T65XK57bzf5ltLV1eXp6Ynvfz08PDo6OoYMGsXFSWqOjG2DeilEvT/kglTWroeo4/AI6LV0SCNwyo7P58+dO5fL5TKZzIiICBaL1dnZWVdXx+VyExISdB8AUVdXZ2dnt3DhQg6Hw+fzp06dqtFoJBLJrFmz2Gx2QkKCu7s7+boUCoWfnx+dTkcI1dbW+vn5RUdHGz1PgpPL5T/88MPSpUvpdLrRWiGErl27FhQUNG7cOL2iiPLX1tbOmDED27HeunVr6tSpbW1t+Bl/qwsLC3N0dHzzzTcz/+3KlStxcXGG8UT/GSIcj8eTyWTYBXPDk+kikYjB0P8qQ74IEaMRYzAYGRkZ5eXlBw8eXLZsGV63BQsWODs783i89PR07PiSKOB6jLYRxiE+DimGUVdcXJzR25eJxh72qWEPEqVb0ju69TE6LI12H1Z4YmIim82OiIiYOHGiYevwfqyvr0cIpaSkcDgcHo+XlpZ2+vTpIYNm0uKmboN4CnlvkixIfe04og7F6baUqBBdI3CXXX9///Tp09PT0+fMmePl5fX11183NTUNDg7evXt3zpw56enpM2fO9PT0vH79+uDg4M2bN+Pi4tLS0sLDwy9cuNDR0fHo0aP58+e/8MIL7e3tAwMDDx8+bG1tnTt37okTJ/D7QPD/dnd3z507Nzk5+fTp0xqNhsfj+fj4HD582LCq2N1Njx8/Rgg1NjbOmDEDIfTgwQPDWiGEBgcH/fz8OBxORUWF7hqVSqXR/N3d3S+++OKxY8daW1tlMtkLL7xw7tw5/Iu/1aWmpt69exdbNaatrS09Pf3EiRPV1dV68dQLEZa/vb39ueeee+mll0JCQq5fv+7u7n7x4sXw8PC1a9e+8MILvr6+e/bs0TsvYXQRpNMXCKHx48fL5XJsjGKM9vv8+fO1Wm1FRUVbW9ukSZNGjRpVX18/d+7ckydPZmZmxsfH37x584cfftBqtUYX11spFn/DNsI4xMchxTDi/P39x40b9+OPP1Ife6dOnZo5c6ZhD2JrMUy3sHeGHJaG3dfc3NzQ0DBv3rzU1FQ2m33jxg1HR0e9OOD9ePLkSWxTSk9Pj4qKunTp0i+//KLX6YbBobI4ec0Nt0HDFKNRorLgkGvXq6HRjtOLgFarrampwVp65MiRIe+yM/OHsU/pw1WXLVvW0tJy/Pjxka4IMJlQKFyzZg12fuBp97SPwyVLlohEIpKLoEYR9eCvqWd/U0ztOCo/jDXzGpJNTTMUhYaGTpgw4eDBgyNdEfCb9rSPQyaTOWHChO+++26kKwJ+hUbypoYnaeXKlQKBYOfOnRTvPgRgOPwKxmF/f/9777030rUAv05mnrIDAAAAqLPRZ9kBAAAAhmBCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBPMfFLDU/osOwAAADbLzAlpYGCAykyjUqnMKx8AAMBvjfnPsjN8JwUAAABgtqfgGpJQKHR2dh4yG41GW79+ve47H588W6gDGFZPxWg0rCSMzKdOUlLSq6++OtxrsbWBMTJP+w4MDExNTeXz+Wq1+uTJk0eOHDG7qNmzZysUin/+859arfbDDz+0sGJ5eXn+/v4IIZVK1dLScv78+dOnTxO9Z9qQVepgdS+//HJUVFRubi5JQ/AwPsmKPWFEbbTZ0Yih0n1D0q2PGX1NtMhTMWyeikqOFFvbZY3AEZKjo2NOTs7Zs2dzcnI2bdpE5fsmidGjR1v3YeSFhYUrVqzIy8v75ZdfZs6c+Yc//MGKhT95TCYzKiqqtbV1/PjxJNmsHkYbZLSNNj4aKXafScyoJNEiT8WweSoqCTAj8ApzDw+P+Pj4L774YmBgQC6X19TUYOmurq5/+MMfli5dmpiY6Orqeu/ePewrIfZCXCaTWVhYePToUSxzTk6OSqVasmTJpEmTxo4d+8ILL5w4cWLr1q1nz57t6+sjKkooFLa0tKxevXrhwoXOzs61tbV6dcNeIN3e3q5SqcRicU1NzZIlS2pqanp6elxdXVeuXLl06dJJkyY9fPiwp6cHITRnzpw33nhj/vz5eGlCoRCrg4+Pz+rVq5csWfLcc895eXlNnjwZex3ykHWwrkmTJjk7O1++fHnKlCn4S4g5HE5GRsbSpUvnzJnT0dGxePFi3TD29/fji8fGxq5YsWLRokXPPvtsbW0t9lpiw1brMrrIkK02DG9SUtKCBQvOnz+PEHrttdf8/Pzu3bsnFApFItGqVasWLVoUFBR069YtrLZGe0coFHZ3d//pT39Sq9WpqalG22jLo5Go+3Tb9fDhQ73eFIvFc+fOffjw4erVq1NTU93c3LBGYSNz9erVupV0cnIyjBvF4ZGTk6NXlNFm6jKsKvXg5OTkMBgMkUiE9c7GjRuPHz/u4uJiXr+TDFSjA4wkXbcvjDaHes15PN4bb7zxyiuvjB8/XqlUMplM3ZfBG+19oyMfK2fJkiUTJ0709vaOioq6fv26k5OT4aBtbW3Fd1lUShYKhR0dHVlZWfPnz+/u7uZyuTk5OfPmzdNqtfX19SRbYktLy6NHj4Z8hfkIHCG1tLSIxeKsrCwej4cn0mi07OzslpaWtWvXbt68WSAQJCcnD1lUYWHh2bNny8vLMzMzFQoFlaKmTp26efPmgoKC6dOnCwQC8vIlEkl9fX1ISAidTs/Ozn7w4EFubu7x48dXrFhBo9H4fH58fPyGDRuys7PLy8t1F6TT6StXrrx169a77767f//+mJgY3U9NqoOF4uLirl69Wl1dHR4e7urqiiVmZWWp1er169dv3brV3t7eaBgxfn5+paWlubm5CKGkpCSEEEmriRbBkLTaaHj/8Y9/uLi4hIWF+fv7CwSCn3/+Gcs8Y8aMkpKSNWvW0Gi09PR0osWxzGFhYWvXrj158iRRG218NBrtPt12IYPexDJMmzatoKBg06ZN0dHRISEhRiupUqmMxo3i8NBNVyqVVCKmV7JJwamqqoqMjMQ+ioqKunLlyuDgoNn9jogHquEAI0/H10XUHIo1x4bx/fv3c3Nzv/322+joaMMA6q3R6MjHy3nvvffKy8unTJlCVI6pJWN5IiIiNmzYUFZW9sorr8ycOTM/P18oFKakpDg7O5MsNXXqVCoVGIEJSavVFhQUNDc35+XlLVu2zMHBASEkEAhYLNahQ4fkcrlEIjHciVNHXtTRo0elUqlIJKqtrcUuF5Hr7u52cHAICgpiMpmHDx9WqVQXLlxACHl7ew8ODjo4OLi4uBguxefzsfwKhaK+vv7s2bO6n5paB7PxeLzQ0NBr167JZLK6ujpsTAQGBrq6upaVlWF1qKysJCmhvLxcJBIpFIqqqiovLy+EEEmriRbBkLSaKLzffPPNwoULFy1atHfvXvy77dGjR9vb22Uy2YEDB7ATWUYXxzKfOnVKqVSSNNCWR6PR7tNrF1FvHj16tKenp6mpqba21tfX12jdjMbNpOFBsZkYw5JNCs7Vq1eDg4MdHR0RQpMnTz5//rwl/Y5IB6reACNPx9dF1ByKNefz+XZ2docPH1YqlfX19WfOnCGqOb5Go+UEBQUxGIwjR45g5ejtfMiRl4zlqaioUCgUly5dUqvVJ06ckEqldXV1ra2tXl5eJEvhR2bkRuamBrVaffDgwYqKivT09Nzc3Pz8fHd397a2Nq1Wi2WQSCQkuzxy5EV1dnZif8jlcvzrJAkPD487d+64u7t7eXmVlpbi6Vwu99atW999911WVlZra2tZWVlbWxv+KY/Ha2lpwevQ29trRh10V0ciMzOT6KNp06bV1dXJZDKE0NWrV2fNmnXs2DFPT0+xWEzxCnlUVFR0dLS3t7ebm9vt27cRQo2NjUStJloEQ9Jqo+EVi8V37tzRarVsNlu3nPb2duwPmUzm6OhIo9GIFtddKQmbHY1Guw8rCl+QqDc7OjqwPxQKBdHZdaNxc3Jyoj48KDaTqKomBUepVN6+fXvcuHH37t3jcDh1dXXR0dGW9DvRQDUcYFgNidLxdRE1h2LNR40apbs1yeVyouspums0Wk5rayvRzocceclYbLGzcAihvr6+rq4u7G+lUslisTgcjiU9gkZqQsLIZLKdO3cWFBQEBAR0dXV5enrifezh4YFvURiVSsVkMhkMhkajQQiRXPoasijqgoODfX19a2pqfHx8Ghoa8vPz9TKcOXOmsrIyOTl51apV69atw9PlcrnuCRbd00HUkcw0VNDp9NjYWDc3N93xERoaKpPJPDw8qJQQHByclpZWVlYmFotDQ0Px0w5ErSZZhFxPT4/R8AYHB9PpdCaTGRQU9ODBAyzRyclJKpUihLy9vTs6OrRaLdHiCCEqzxPB2NpoJOq+O3fu6LaLem8aMhq3sLAwMwqk0kzDqpoanIsXL06ZMsXFxaWqqoqo/pgh+51koBoOMPJ0fF0kzaFS87Fjx+refk3SC/gaicoxuvOhMmjJSx6SeUvpGoFTdnw+f+7cuVwul8lkRkREsFiszs5O7IJYSkoKh8Ph8XhpaWmnT5/WXUqj0UgkklmzZrHZ7ISEBHd3dyxdoVD4+fnR6f/fkCGLGhKdTufxeAkJCatWrdq7dy92TMrlchMSEow+n0IkEjEY/zG119XVubm5/e53v2Oz2RERERT3y9YVFhbm6Oj45ptvZv7blStX4uLi6urq7OzsFi5cyOFw+Hw+diLIMIwIIR6PJ5PJsIuxhme0DVs95CJEjIaXwWBkZGSUl5cfPHhw2bJleN0WLFjg7OzM4/HS09Ox0xHkvYMz2kabHY1E3WcYOsPeJIdX0mjcqA8P3XQqzTQs2dTgXLt2LSgoaNy4cefOnUOW9TvJQDUcYOTpOJLmUKk5lpiYmIjtNCZOnEjSKN1FDMtxdXU13PkQDVrqJZtXH5OMwIQkkUj8/PywC5vz5s0rKSnp6uoaGBgoLi4OCAjYuHHjO++8c+PGjePHj+stuGfPntjY2IKCAg8PD6zvEUKVlZWhoaFbtmzBQ0ClKBI5OTmfffbZ+++/P3bs2E8//RS7y0uj0QiFwpiYmMLCwqKiooyMDIRQeHh4UVHR9u3bU1JSvvzyS91CVCrV9u3b4+Pjt2zZEhcXd+7cuSFvL7G66dOnnzlzRvdM+o8//hgZGclisYqLiwMDAzdu3Lh8+XLsS5xhGBFC1dXVUqk0Pz9/5cqV+D1gJK0mWmRIRsObnJz86NGjurq6GzduyGSymTNnYplv3rz5wQcf/OUvf6mvr//pp5+IFjdktI02OxqJuo/D4ehm6+/vN+xNcnglGQyGYdyMFmg0dLrpTCZzyGYalmxqcDQaza1bt2g02uPHj5Fl/U4yUA0HGHk6jqQ5VGquUqk+/fTTuLi4wsLCuLg4Kl9ciMopKSmJj48vLCx8/vnndX+AZXTQUi/ZvPqYhBYQEECew8nJyfAcNDxc1STLly9vbGw0aV4ERgmFwjVr1mBnTgCwOqIB9vQOvKSkJF9f36+++mqkK4LUanVvby95HjOvIcE0QxGbzZ44ceL48eMPHDgw0nUBAACbNpI3Nfy65ebmBgQEaLXa5ubmTz75BL81BQAAgFFmnrIDAAAAqKNyyu4peNo3AACA3wKYkAAAANgEmJAAAADYBJiQAAAA2ASYkAAAANgEmJAAAADYBJiQAAAA2ASYkAAAANgEM5/UAM+yAwBYKDw8fMWKFT/++GNXVxebzTbpVXLgV8nMI6SBgQE2BdTfRjNMIiMjV61aNbJ1ACSgg37LJkyYsHHjRm9v78WLF1N/Njz4FbMjebcYhsVi2dnZ6SX29/fb29vTjfHy8tJqtYODg3Q6vb+/fwQfO8RkMpctW1ZaWoq//RrYFGt10JIlS3g83sOHD61ULxPExMS8+eab1dXVCoXiya/9aVdTU9Pb23v9+vVffvlFpVJZpUwmk5mXl3fnzp0hn1IDnrCBgYEh38Jj5WtINBptwYIFK1asMHx1GxVcLvf9998fNWqU5TUJCgpKT08XCoXLly/Xe4UMOQaDkZubGxQUhKfQaLT169frvswRIxQKnZ2d9T599tlnN27cOHbsWMubYINsoYOSkpJeffVVpNMv33777eTJk/l8flFRUWJiIvWisB4kTyF38eLF6urqkJAQ6otYi9Gqzp49e9GiRcOxutjY2Ndee416TYjg3YeJiYnZtm2bv7+/hdXD5qHly5cnJiaeOnWqtbV1yEr+prbcp4WVn/YdFhbm7u5eVVWFvSXXqJycnLCwMN2UkydP7t27l0ajLVmy5Msvv5TJZOatffbs2QqFAnshVUNDQ1JS0v/8z/8cO3ZMLpcbZiBaUKPRfPbZZ5mZmSUlJdi3Nq1W++GHHxKtVPdT7FWM69atW7FiRUNDA75ecnl5efv37799+3ZgYGBqaiqfz1er1SdPnjxy5AiWYfz48bNnzx4zZoxWq21oaDh06FBdXZ1poTGFDXYQJi0tbdasWdjfEonk2LFjeOQLCgpWr169adOmefPm3bx5s62tzbwamsrNzS02NvbEiRPUFxnW7v7pp59ee+210NDQu3fvmtwY4vjzeLyoqKjt27ebUSYJLpcbGRm5YcOGl19+efv27SQ7jSGlpKQcOHAgLCxMIpFcvXqVyiKWb7nA6qwwIeHvkKfRaNOnT9doNNh744kUFhYihHg83rp167KysvB0rVZbUlJiSU1Gjx796NEjvLQdO3aQZCBJl8lkWCVNpVKpPvvsM4TQJ598Yuqyjo6OOTk5X3/99bZt29zc3PBv+vHx8ampqfv3779x4wadTo+MjHzzzTc/++yzW7dumVFDKmywgzD79+/fv38/9sKxY8eO6X40ODi4bds2hJBhmcPq8ePHuiGibvi62/A1vtQRxf/x48fFxcVmF0uku7sbG1GWF469b8zsjcKSLRdYkUUTEofDmT17dnNzMzYD4YdHZny/cHV1Xbx4cWhoaH9//6VLl77//nvsuoJQKNyzZ8+CBQscHBz27dvX29u7dOlSNpt97Nixn3/+WbcE/Hv9Sy+99NZbb02cOHH27Nlubm719fWff/65VCrVy4Cf9B9yQTTU+yLxT11dXTMyMoKDg9va2nbv3i0SiZycnDZu3Ijvs3Jyck6ePFldXW1YCJfLpdPply9fHhwcbGtr27t3L0KIzWanpaXt2LGjpqYGy3by5EmE0Msvv/zBBx+YGmRLjGAHIYR4PF5GRgafzxeLxffv38fTrRJ5hNCSJUu8vb2x3aJAIEhNTeVyuRcuXCgrKyNpe2xsrNGh8sUXX6Smprq4uFRWVpaXlxtdoxW7G6/8qFGj9IJgSQdt2rRp7969ixYtOnz48MmTJ/FQczicxYsXh4eH0+n0srKyy5cvGw2aLqz7goKCsHfS4+nmBXDOnDmJiYn29vZnz57FPiXqID2GlbTW+AHWYtE1JLVa7ePjM336dEdHR4qHR0bRaLTs7OyWlpa1a9du3rxZIBAkJyfjn0ZERGzYsKGsrOyVV16ZOXNmfn6+UChMSUnROyNcWFiIDdDMzEyFQuHn51daWpqbm4sQSkpKMsxAfUGK6HR6dnb2gwcPcnNzjx8/vmLFChqNRn3xlpYWsViclZXF4/HwxGeeeUYul+O7J8z58+e9vLxcXV2pF26hke0gLLD3799/7733vv3225iYGL3qWRj5xMTEZ555pqSkBDtlNG3atIKCgk2bNkVHR4eEhJC0nWioTJ06dfPmzQUFBdOnTxcIBEZXaq3uxis/ODhIFATzOgghFBYWtnbtWmxSxGVlZanV6vXr12/dutXe3h5L1Auabn68+3Jzc7/99tvo6Gj8IzMCyOfz4+PjN2zYkJ2djc1G5INTF1ElLRw/wIosmpD6+/tPnz7NYrHi4uKww6MrV66YcXgkEAhYLNahQ4fkcrlEItm/f7/uTqeiokKhUFy6dEmtVp84cUIqldbV1bW2tnp5eZGUWV5eLhKJFApFVVUVeU5rLRgUFMRkMg8fPqxSqS5cuIAQ8vb2pr64VqstKChobm7Oy8tbtmyZg4MDQsjFxaWjo0Mvp0qlUqlUJt0IYKGR7SA+n29nZ3f48GGlUllfX3/mzBm9DJZE/rnnnktKSiouLlYqlVjK0aNHe3p6mpqaamtrfX19SdpO1ISjR49KpVKRSFRbW0t0ud4q3a1beZIgmNdBCKFTp07hYcEEBga6urqWlZVhDaysrDQaNN1FSLrPjAAODg46ODi4uLjgKeSDUxdRJS3ccoEVWXoNqaamJioqKjIyMjIy0rzDI4SQu7t7W1sbdiEKISSRSHQHHP7y776+vq6uLuxvpVJJfkN5VFRUdHS0t7e3m5vb7du3qVfG7AXd3d29vLxKS0vxFC6XS3SWzyi1Wn3w4MGKior09PTc3Nz8/HyFQmF4dx/2Gy+SknXrQCIzM5NixUa2g3g8nu5NCnK5XO+3CpZEPjU19dixY93d3XgKPiUoFAoWi0XSdqImdHZ24lXFjyEMWd7dupU3GgSxWIzM7SDdhuA8PT3FYvHg4KBeul7QdD8i6T4zAtjY2Pjdd99lZWW1traWlZW1tbWRD04qlbR8ywXWYumEpNVqKyoqli5dihAy7/AIIdTV1eXp6YnfHOHh4WH4PdEkwcHBaWlpZWVlYrE4NDQ0MjJyuBdECPX09DQ0NOTn5+smMhgMJpPJYDCw00FD/uoLISSTyXbu3FlQUBAQEHD37l0ulxseHq57tTY2NraxsZFkg6E+01A0sh0kl8t1d9MeHh56GSyJ/K5du15//fXGxkbdS1O6iNpuyVDRZUl361beaBAsZPjDdplMZhh/ckTdZ3YAz5w5U1lZmZycvGrVqnXr1lk+OK215QLLWeF3SE1NTVevXu3o6DDv8AghVF9fjxBKSUnhcDg8Hi8tLe306dNmlINdmaDT6TweTyaTYRd1dc9Z4xlMXZCKuro6LpebkJCg+7QkjUYjkUhmzZqF3Vfq7u5OtDifz587dy6Xy2UymRERESwWq7OzUy6XHzp0KDMzc8qUKRwOx9XVNSkpaf78+fv27TOpbhYa2Q7CApuYmMhmsyMiIiZOnKhXrCWRF4lEu3btWr16tY+Pj0ltt2SoICt1t27ljQbBVEQbCK6urs7Ozm7hwoUcDofP50+dOnXIMom6z8IAikQi7MeOlg9O6uOHx+N9/PHH5v3IElBhnR/G/vzzzzt27DD75v2BgYHi4uKAgICNGze+8847N27cOH78uBnlVFZWhoaGbtmy5fbt21KpND8/f+XKlbqPJMEz6G20Qy5IhUajEQqFMTExhYWFRUVFGRkZWPqePXtiY2MLCgo8PDywjccoiUTi5+eHXSueN29eSUkJdnblp59+2rdv3+9///vNmzf/9a9/jYiIKCoqGtbfIRka2Q5SqVSffvppXFxcYWFhXFyc4e7Gwshfv379yJEjb7/9ttEbB4jaXl1dbfZQQdbrbrzyo0aNMhoEkxBtILj+/v7i4uLAwMCNGzcuX76cyrEIUfeZF8Dw8PCioqLt27enpKRgN7hbPjhNGj80Gg1ueRg+tICAAPIcTk5Ohuea4eGqAAAAqFOr1UM+z8nMIyQ2m82h4Lc5G+Xk5MBdOgA8dWDLHXFmHiEBAAAA1A3jERIAAABgXTAhAQAAsAkwIQEAALAJMCEBAACwCTAhAQAAsAkwIaDMDgYAACAASURBVAEAALAJMCEBAACwCTAhAQAAsAkwIQEAALAJZj62Fp5lBwAAwLrMnJAGBgaozDQqlcq88gEAAPzWmH/Kzo6At7c3h8PB/rZKFceOHfv222/DI98BMBuTyVy3bt2Q7yx/2tnb25eUlMTGxo50RYCZrHwNiUajLViwYMWKFWa8w4pGo61fvx5/uWR4ePj27dvDw8OTk5N37dqFv6LYNjEYjD//+c/+/v4jXRGEDCJpSCgUOjs7P8kqWWXtRhdkMBi5ublBQUFWX++QYbR9TCYzLy9v+fLliYmJp06dam1tHdbVmboVGPaIYYpJvdDX11dcXGz223uJREZGbt26NTY2Nj4+fvz48dYtHOiy8oQUFhbm7u5+8+ZN7L2/Rr311ltz5szRTZk2bdp///d/a7XaDz/8sLOzEyHk6OiYmJj44Ycf/v73vy8uLu7p6UEIzZ49Oz4+3rBAonQSViwKs3Dhwl9++aWpqcmMZS0UGBiYk5Ozbdu2LVu2zJs3DyGkG0nzWDGkw02j0Xz22WcLFiyw+tVKy8M44lJSUg4cONDd3S2RSE6dOkVxKZvaCkzthUWLFpnxvkRy48eP/+ijj5577rnZs2ffvXvXuoUDXVZ4Fy/+NnsajTZ9+nSNRkP+LvNz584lJycfO3YMT4mJiamsrNTNo1Aotm3bhhDaunUrnjh69OhHjx4ZFkiUTsLyooKDg5OTk4uLi7H/7t+/H/tjxowZXC73+++/N6k+ZnN0dMzJyfn666+3bdvm5uaWmJholWKtGNInQCaTFRYWjsiqbdyBAwcQQrdu3TJpqaduK9D10UcfGa2bJXbt2oUQ+uyzzywvCpCzaELicDizZ89ubm7GZiDs8Kiqqor8XebV1dXLli3z9fXFBj2Xy+Xz+SUlJQghoVC4Zs0aqVTq6uqakZERHBzc1ta2e/dukUiUk5MTFhaGEHrppZfeeusthUKBlaaXbm9vr7cgQmjOnDmJiYn29vZnz54tLy+nWNSmTZv27t27aNGiw4cPX7p0aePGjVlZWXhOPp+PbX6urq6LFy8ODQ3lcDgIIalUumPHDiw4ixcvDg8Pp9PpZWVlly9ftiTURLhcLp1Ov3z58uDgYFtb2969e7F0PJJCofCLL75ITU11cXGprKwsLy/HMggEgtTUVC6Xe+HChbKyMt0yrRhSojgYrh0PY39//6VLl77//vv+/n7D9houGBsbO3v2bDc3t/r6+s8//1wqlWLNN6PVly5dOnPmDFaZDz/88N133y0qKsLCqJtTKBTu2bNnwYIFDg4O+/bt6+3tXbp0KZvNPnbs2M8//0zSFqO18vHxycjIGDNmjEgkqqur43A4X331lV6rydfo5OSkNzhPnjxZXV1tUjWIev/JbAVLlizx9vbGJg/DPsIHs+4ieiPQMAh43YyOEJM6dMgSgLVYNCGp1WofH5/AwMCamhqlUknl8AghpNForly5Eh0dffDgQYRQdHT0tWvXdO/Ho9Pp2dnZ1dXV//u//zthwoQVK1Z88MEHhYWFr7766qNHj44fP65bmm46nU5/99139RYMDAyMj4/fsGEDdt5PbxGiorCUsLCwtWvXKpVKJycnvVbs3LmzurqaRqNlZ2ffuHFj9+7dHA5n+fLlN27cwA7qs7KyxGLx+vXruVzu8F1bamlpEYvFWVlZe/fuffz4sdE8U6dO3bx5M5fLzc3NvXz5cn19PUJo2rRpBQUFzs7Oubm5ly5dunfvHp7fiiFFBHHQW/v9+/f1wpicnPz3v//dsC2G1fbz8ystLX38+PEbb7yRlJSEDSozWl1VVRUVFYVNSFFRUVeuXCE57RwREbFhw4aIiIiMjIwHDx7k5+d7enrm5OScP39eJpORtEWvVg0NDStXrrxy5conn3zi7e29atWqmpoaU9c4ODhomN9wZJJUAwsOUVcO91aQmJj4zDPPbNq0CQs4SR/h+Hy+3gg0hNUNIUQ0QiiGVyqVUikBWIVF15D6+/tPnz7NYrHi4uKww6MrV66QHx5hzp8/P2XKFOzGuZiYmHPnzul+GhQUxGQyDx8+rFKpLly4gBCi+F5howsODg46ODi4uLiY0cBTp04plUqSDAKBgMViHTp0SC6XSySS/fv3T58+HSEUGBjo6upaVlYmlUpFIpHeCUkr0mq1BQUFzc3NeXl5y5Ytc3BwMMxz9OhRrBq1tbX4TuHo0aM9PT1NTU21tbW+vr5E5VsYUqI46K3dMIwxMTFGCzSsdnl5uUgkUigUVVVVuneRmdrqq1evBgcHOzo6IoQmT558/vx5knZVVFQoFIpLly6p1eoTJ05IpdK6urrW1lYvLy/ytujVis/nY+FVKBT19fVnz541Y41G85tUDZKWomHeCp577rmkpKTi4mJ8FVRGpkkbNdEI0UUeXiolAKuw9BpSTU1NVFRUZGRkZGQklcMjzP3797VarUAgUCqVjo6OetcJ3d3dvby8SktL8RQulysWi4cs1uiCt27d+u6777KyslpbW8vKytra2ig3Dg15KdXd3b2trQ2/A1AikXC5XISQp6enWCw2+tVVj25tSWRmZhJ9pFarDx48WFFRkZ6enpubm5+fr/fVHm+FXC63t7fH/u7o6MD+UCgUJK+otzCkRHHQW7thGIn2NYbVjoqKio6O9vb2dnNzu337ttmtViqVt2/fHjdu3L179zgcTl1dHVGjEEL4F/O+vr6uri68BBaLxeFwSNqiVysej9fS0oJn7u3tJWo4yRqN5icPqdHgEBnWrSA1NfXYsWPd3d14CpWR2djYSH2jJhohusjDS6UEYBWWTkharbaiomLp0qUIIYqHR9hSVVVV0dHRKpXK8JxDT09PQ0NDfn6+qZUhWvDMmTOVlZXJycmrVq1at24d9QLxp1GoVComk8lgMLB9Pba9IYS6uro8PT3x2zo8PDywzUkmk3l4eFBZBclMYxKZTLZz586CgoKAgADdMzAWsjCkFONAFMYhBQcHp6WllZWVicXi0NBQC+/3vXjx4pQpU1xcXCh+rzLKpLbI5XJXV1f8vzwez4w1Gh2cZofU0LBuBbt27Xr99dcbGxvv379vUq30RiBR3SwfIdYdY4CcFW77bmpqunr1akdHh0mb8fnz58ePHx8ZGal3vg4hVFdXx+VyExIS9G7kVSgUfn5+dLp+nfF0ogUxIpEI/3XUkEXppWs0GolEMmvWLDabnZCQ4O7ujqVju/6UlBQOh8Pj8dLS0k6fPo01wc7ObuHChRwOh8/nT506lXpkTMLn8+fOncvlcplMZkREBIvFssptytYKKcU4EIVxSDweTyaTYfdZREdHm9RGQ9euXQsKCho3bpzhmKTOpLbU1dW5ubn97ne/Y7PZERER5u3sjA5Os0OKnuxWIBKJdu3atXr1ah8fHzPajo9AorpZPkKMlsDj8T7++GMzfm0JyFnnd0g///zzjh07KB4eYdra2rq6uqRSqUQi0ftIo9EIhcKYmJjCwsKioqKMjAwsvbKyMjQ0dMuWLXo7RzydwWAYLhgeHl5UVLR9+/aUlJQvv/ySYlGG+989e/bExsYWFBR4eHjghyADAwPFxcUBAQEbN2585513bty4gV0K7u/vLy4uDgwM3Lhx4/Lly83+cjokiUTi5+e3fv36rVu3zps3r6SkBD/hYAlrhZRiHIjCOKTq6mqpVJqfn79y5UrLf32i0Whu3bpFo9GIbg+hwqS2qFSq7du3x8fHb9myJS4u7ty5c2q12oyVGg5Os0OKnvhWcP369SNHjrz99tu6B4vkjI5Ao3WzfIQQlUCj0eDxMVZHCwgIIM/h5ORkeCYXHq4KgNUtX768sbGR+swBwFNErVb39vaS5zHzkBOmGQCsiM1mT5w4cfz48dhPWQH4bYJzoACMpNzc3ICAAK1W29zc/Mknn5D8sAaAXz0zT9kBAAAA1FE5ZQdvjAUAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgExhUMnV2dg53PQAAAPyKOTk5DZkHjpAAAADYBEpHSJjx48cPXz0AMMP169dHugoAAKuBIyQAAAA2ASYkAAAANgEmJAAAADYBJiQAAAA2ASYkAAAAw06r1Q6ZZ+i77DQaDfYH3NEEAADAPPhUQmLoIySVSmWNygAAAPjt6uvrGzIP1d8hsVgsFotlWX0AAAD8tmi1Wo1GQ2U2QtQnJLVarVarLagVAAAAQAZuagAAAGATYEICAABgE2BCAgAAYBNgQgIAAGATYEICAABgE6jeZadxGq3yitSwXYe1NpZjqLrYrVcZvW0keZydnUeNGkWn2/pkrNFoVCpVV1cXSR5oy5MHbbFN0BbbRKUtOFpAQMCQmXr5iZ1TsrV0psV1exJog/1uF7c5NZww+qm3tzdCSK1WU3mOxcii0+kMBoPBYDQ3NxvNAG0ZEdAW2wRtsU1DtkWXHZfLJc+hcRotmbHhaZmNEEKIZqfyieI0nqSr5XqfODs7s1gsij/RGnFarXZgYAAhRKfTDX8EBm0ZKdAW2wRtsU3kbdFD4dFBXpFP02yEEEJIS2eqvCIN00eNGvXU/bxXo9E4OzsbpkNbRha0xTZBW2wTUVv0DD0h2f51I6OMVptOp9v+Ea4erVZr9DQxtGVkQVtsE7TFNhG1RY+tXxADAADwGwETEgAAAJsAExIAAACbABMSAAAAm0D1h7HgqUCj0bA/nrprnhg7O7vBwcGntPIYPp/f3t7++PFj7FbX3zIajcbhcJydnXt6ehQKxdPSrTQazcnJycXFhU6nDw4O9vT09Pb2Pi2Vf9rBhPSr4uTk5Obm1tnZKZPJRroupqHRaL6+vkFBQY2NjSKR6Ond/qdMmTI4OHju3Ln6+vrfwpzEZDLt7e11+0utVvf399PpdH9//0mTJjGZTBqNdvjwYblc/3eBNohGo/n4+MTExLBYrIGBATs7O7VafeHCBbFY/PSOyacITEi/KqNGjRozZkx/f//TNSHR6XQPD4+IiIiAgABHR0elUtne3m7d7T8qKmry5MmffvqpFcs0qra2Njg4OCQkRK1WNzU1/brnJBaLFRkZ6ePjY2dnh6WoVKqbN2+KRCJ/f//nnnvu7t27Dx8+nDdvnrOz85ATkr29/datW8vKyiorK4e/7vqwmdXe3t7Hx0cmk50/f35wcJBOp0+dOtXHx0elUvX19fX19fX39z/5ulFEo9EYDMbg4KDeqLOzs6PT6RqNxvbn1Cd6DenzF30e/ncI/l83R7u77zxzJyd4lP0IX8pis9lvv/329u3bQ0JC1q9f7+bmhhASCoVUfsn1K0PU6qSkpL/+9a8eHh7DsVI3N7eIiAgHB4empiY2mx0REeHh4WGVh3RNnDhRKBSGhIQkJSXt3r3b8gKpEIlEHR0d4eHh/v7++J6aIivGXygUmrRqMzg7O4eEhJw7d+7Ev505c6atrW3MmDHh4eEPHz5sbGzk8/kUvyH19fUVFxdHRhr5Sftwww7Qp02blpCQ4O3t7ezsPGHChMjIyAkTJjg7O3t7eyckJEybNs3X1xc/Kz4kLpf7/vvvjxo1alhrrovBYPj7+/P5fBaLhSeyWCw+n+/v789gmHz48eSbQGmbP/sGX/s/Ebr/VBvCjea8/pZgnBfbMP3Iq2O0/xOxPMo1gMs8tSIQS9yx0OfD45Jt5ztLUrzNrb91xMXFaTSat99++969ex9++GFnZ6dJi8+ePTs+Pn6Y6mZ1eXl5+fn5TOb/P33jxRdffPHFF0kW8fLy8vLy2rp1a3p6+nA8zDEwMLC/v//OnTu9vb137tzp7+8PDg52dHTUyzZ27NiioiInJyfsvzwer6ioaPTo0UTFjho1KjY2dt26dXPnzi0sLMS+oQ93Z9FoNDab3dbW1tfXN2HCBD6frxcxG4y/2RwdHVUqVWtra+e/yeVyLy+v0NDQ5uZmbDbi8/lXrlzRPTwKDAzMycnZtm3bli1b5s2bp1vgokWLamtrn3g7EEJIoVD09/czGIzGxsYHDx50/NuDBw8aGxsZDEZ/f79CocDzk49GGo22ZMmSL7/88kmeq8AO6UJDQ4OCgrA5icViBQUFhYaGYtfD9PLn5eWVlpaWlpZu27ZtzZo1M2bM0B1dI9IESnPmOz+2ujrY+bkwS1N9Np56fLpBPmDsyI/LtvMZxexV6zcbIbSorIlBpwlTvGcEcebsEuGJ2B/bz5tZezMEBwcnJycXFxfrJrq4uDQ0NJh9MD569OhHjx5Zo3Zmsre353K53d3dhilGH3il1WoXLFiwf/9+iuW3trZ+/fXXCKHt27dbpcJ6uru7Hzx4MGrUKA8PD6lU+ujRI19fX8NsN2/erK2tXbhw4Z49exBCL7/8ckVFRVsb4ZPdZTIZdpRQVFSEJw53Z/X19Xl5efH5fI1Gw2QyY2JiWlpa9M5W2Vr8rYXJZPr7+wsEArFY3NTUFBgY6Ofnd+PGjaamJvxkkaOjY05Oztdff71t2zY3N7fExETdEj766CPsD6Pb6fDRarUdHR2PHj1ycHC4fv26YQZfX99Hjx51dHTgDSEfjVqttqSk5MlUHjcwMCASiRgMRmBgIEII244CAwPr6+tFIpHRs8eFhYV37tzhcrkCgSA1NTUoKOiLL77APhqRJlCakKqalAihZz3sEULXW1U/3etFCI0dbV/zdvD8r0RH7sgQQndygl3YdnnHJQ86/+MhSxGj7f93oc84L3Zlo0LRP6hFSNk/iBDyc2EWJns9z3ek0dBP93rfPtLaqRhwYtFl68M+Otk+2c8hLtDxvEj50jdNj+UDCKEp/g47FvpM+KTektb+8Y9/HDNmjN6OYMWKFZMnT0YILViwIDMzUygUrlmzRiqV4hlcXV0zMjKCg4Pb2tp2794tEol0F8/JyQkLC0MIvfTSS2+99Za9vb1hZqFQuGfPngULFjg4OOzbt6+3t3fp0qV//vOfLWmLLnt7+5CQkJ6eHmzH5+DgEBoa6uLicv36daMT0uHDh1966aVLly49fPjQ8FNsaHK53AsXLpSVlSGEYmNjZ8+e7ebmVl9f//nnn2PBEQqFn3322Ysvvsjj8bKzsy2pf11dnVwux88MyGSyO3fuGM1ZXl6+fv3606dP83g8Nzc3bINxcnLauHFjVlYWlicnJ+fkyZPV1dWG1dbrLN0vvNYiFos7OzuxM3UymWzs2LGGJ3msFf8vvvgiNTXVxcWlsrKyvLzc6m0xCYPB8PPzEwgEEomkqalpzJgx3t7et2/fbm5u1v1uzuVy6XT65cuXBwcH29ra9u7di4z1IJ/Px7ZTvO2rV68ekXaRMDoaEUKurq6LFy8ODQ3t7++/dOnS999/j33ZfQJtUavVDx48QAgFBAT4+PgwGIyHDx8+ePCA5Nl3Wq22q6vr8uXLIpFo3bp1FRUVIpGIqAnDPeqsefj/8/3eTy/8x8kuewbt2B8CHJn0F3aLvq+VvhD2rz0O0472838FPOvBeqW8eeX3LbOecfpy0f9/I359suv/VnW9flCcEMTJmc5DCLHsaAde8R+0xgW5nTt3/vOf/9RN2bFjxy+//PL3v/89MzPTMD+dTs/Ozn7w4EFubu7x48dXrFiht38pLCw8e/ZseXl5ZmamSqUiyhwREbFhw4aysrJXXnll5syZ+fn5VmjMvykUiubm5tGjRwsEAjabHRQUNHr06ObmZqIdbk9Pz4EDB1577TWjVzimTZtWUFCwadOm6OjokJAQhJCfn19paWlubi5CKCkpCc85Y8aMkpKSNWvWWLEt5KRS6cGDBxcvXpyWlvbVV1+R3zJgWG3dzhqO2Qgh1Nvbi53zefDgwcOHD5VKpeGVZGvFf+rUqZs3by4oKJg+fbpAIBiO5lDn5OQUGBgolUqx2cjT0/PevXvY9STd85MtLS1isTgrK4vH45GUhm+num23NUZHI41Gy87ObmlpWbt27ebNmwUCQXJyMpb/ybRFrVY/evSov78/NDRUo9E8evSI4pNYJRJJfX19SEgISRPQMI+64T0fnRTs5O/CzP6h5dQD+Y6LXX+/9a9zkYkCTrin/R8PtRyvk39fK938z8fzw0a5O/5r49x9tftgrXTvtZ7Lzcrx3myEUFIwx9+F+ebhlmGtrVFBQUFMJvPw4cMqlerChQvo328iMTVzRUWFQqG4dOmSWq0+ceKE7hGY2Wg0mrOzM4fD0Wg0TU1N9fX1bDbb29vbwcGhvr6+qalJo9FgPwQx/JJeWVnZ3d09Z84cw2KPHj3a09PT1NRUW1uLnTorLy8XiUQKhaKqqsrLy0s3Z3t7+/CdYjZa+crKSh8fn/b2dqOHF7qIqm0LrBV/qVQqEolqa2v9/f2fXO2NGTVq1KhRoxQKxTPPPOPp6YmdJmKxWGPHjtW9xq7VagsKCpqbm/Py8pYtW+bg4EBeLN72Ya6+mQxHo0AgYLFYhw4dksvlEolk//79MTEx2EdPpi0sFsvX15fBYNy9e5fJZPr6+urGH7d+/Xp/f/+cnJzS0tK4uDgssbu728HBgaQJaJhH3fDe9h3AZSKE7rT/66yRpFeD/cF3Y+mm13WoEUI+zsyGTjVCSCz9V7Yu5QCHRUMIBbqyEEK3JSPw/g93d3cvL6/S0lI8hcvlisViUzP39PRgKX19fRRfnjgkOp0eFBSkVCrv3r2LzUkMBoPP5zc0NGCzEULIz8/PwcGhpqbG8GBi9+7deXl5V65c0Uvv6OjA/lAoFNhQjoqKio6O9vb2dnNzu337Np6zvb3dKg3BKJVKiUSiVCrxFKOVnzNnzr179wIDA0NCQu7du0dSIFG1bYTl8cfvvpHL5fb29k+k1sbZ2dmNGjXK3d1dq9XKZLK6urrm5maNRkOn09ls/buc1Gr1wYMHKyoq0tPTc3Nzyc8W4G1///33h7MFZjIcje7u7m1tbfhhsUQicXFxwf5+Am3B7mIIDAx8+PAhfg0JIWR41u7DDz/My8vbv3+/7ojy8PC4c+cOSRPQMI868yck7OYFZzYdIUSnIR7HSFGdygGE0Bgus0MxgBASuP1ron7U048QCnZnPZYrEUJBbiyEUGMX4XFlt2oAIRTw73LMphtWinp6ehoaGiieYTMps1XovsO4v7//4cOHbW1tSqUSv0GDw+FwOByjy3Z2dh46dOjVV1+tq6sj+YFCcHBwWlpaWVmZWCwODQ3VvSvXycnJKod6GKlUqltzo5X39fXFboAWCAQZGRnr16/v7+9XqVRMJpPBYGBzMPbOSZJq2wjL4287BgcHW1tbL1y40NvbK5PJent7sb4gIZPJdu7cWVBQEBAQ0NjYaNiD6D/bPuxtMJ3R0djV1eXp6Umj0bA+9fDwwL5hPIG22NnZjRkzRiAQ1NfXYzMQdj1JIBBoNJqGhgbyU9zBwcG+vr41NTVeXl5Gm/AEmH/K7pFU06EYyJrqNtnPIf/3o7lsI0WdqJP3qgc/me89PdAxZ7r77wT/2rlU1MkbutSfLvBJFHAWhI96L563+2q3tM/I7Xl4OYr+weL5lt4d7upq8rud6urquFxuQkKC4Rc9nEKh8PPzo9PpVDJbl1ar1T2jpVare3p6dL8K4aPKqFOnTg0MDEyaNIlkFTweTyaTYXdnREdH6360YMECZ2dn8osB1A0MDKhUKt1tRq/ydDr9v/7rv3744QfsGuzjx4+xU9sajUYikcyaNYvNZickJLi7u5NUG+8svTZ+/PHHZvxQw0IWxt92YBfG792719TU1N3dTTIb8fn8uXPncrlcJpMZERHBYrE6OzuN9iD6z7bbGqLRWF9fjxBKSUnhcDg8Hi8tLe306dPoibQFu7f77t27+PEQNifdvXsXuyOcaCkej5eQkPDHP/5x3759UqmUqAlPgPkTUv+AdsVBsb8L88TrgYPaf51209Mu1ywqa3J3tPvlvwKi/R321/zr27Syf3DWF41iqebAUn9hive3NT1/PER2faitV/PS3mavUZbuL4a86mBIo9EIhcKYmJjCwsKioqKMjAzDPJWVlaGhoVu2bGEwGENmtiJsLxAUFDRp0qRIYyZNmhQUFNTV1UU0J2m12t27d5MfOFZXV0ul0vz8/JUrV+r9RuTmzZsffPDBX/7yFwsbMnbsWCqVT05OHhgYwLeNb775JjEx0c/PDyG0Z8+e2NjYgoICDw+P/2vv/l3aCMM4gN+dF3JotcmV0g4JKZVuzdK/IFsdHKWDpVM76aYdXYQO0kXEok4upR2EDt0CteBWkJjBlgpKkCIB63LXIMkbvR8dXjiu9yvn5XJ503w/43Eh7/cuyXM53vc56/mHbQAAAxhJREFU+nXyG7Z1shwXDTzPh1/zGBJtPxOwQ5fHv+80TRNFkf7SWU+qtnMfgYuLi1wut7y8vLq6Oj09vbGxQe9gu88g92/2XmcxTdMwDCuOnSAItAOC/Xvk92nUdX1tba1QKKysrCwuLh4eHu7u7iaThd63Pz09tV+SXl1d2e/hOywsLGxtbS0tLRWLxc3NTdojwy9CAvhCoRC8h/p49k/xeTKjidHt7x8yPz46Nubz+YFoqOUwNjZ2dnbm2EizSJI0OTmZzWY9f0xpxarVaoSQ2Eflnh8fhmeWmZkZ9yKwng4+Fp5Z5ubmrFnOkiQdHx8fHByw3G+GCviMBbxKkqSpqanR0VG/v0R9OQLRsnAcJ8tyqVRKp9Pu1jvtdntvb++mS+a7FzkLgzyzOHT7n0MU+JPXj159qn+tRTlAX14++Pyz8e5b59O8M5vfrih0CRRYCCFHR0cBl/b0uq/7N8pkMvPz89a6xXhVKhXPL1hcg09StVq1Kmiz2Ww0GuxXo8gIIeVyWZZlv7udg3UEFEUpl8vZbNYxHV/XdUVR7NNtoEdiuGlucmbkFUKGGfa1bc14/yx39433eslhlsxPtqqqPapGHMfpuv7fNCGt1+uDePUaGSGEzRkHEZim2Ww2mZ1iPgy6LUiaYT58exL55U+3f4Xc88VOP3vzgJu1rh4AIBYMNWoEAIBhhoIEAABMQEECAAAmdC5IIomnz03CPIdNe5kkP5hu0Ec9urcjS38hC5uQhU1+WZy7ddxDOq/yxmDM2rTwxrV0XnVvb7Va9sbDA0EQBM/5psjSX8jCJmRhk18W524d9xAvf8v76wNUk3jj+s7+unjp8dw2VVVHRkZSqVTsa/J7QRCEVCqVTqftT96zIEu/IAubkIVNwVkcOndqoLRb98j9J5p0415wCROJIp1XPauRZXx8fGJigv3/vJqmtVqt4LOILMlDFjYhC5vCZLGELUgAAAA9xXp1BQCAIYGCBAAATEBBAgAAJqAgAQAAE1CQAACACShIAADABBQkAABgAgoSAAAwAQUJAACYgIIEAABM+As2re8lXIGd2wAAAABJRU5ErkJggg==" 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" 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" alt="Skills manager"></div>
+<p class="rg"><b>Ô tick</b>: chính là bật/tắt skill</p>
+<div class="cap">Đề xuất — bố cục mới</div><p class="mut">Giữ nguyên bố cục bên trong; chỉ đổi thanh menu sang danh sách phẳng.</p>
+<details class="ctl"><summary>Kiểm kê control — <b>13</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>skill.name if skill else </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\skills_dialog.py:34</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>skill.description if skill else </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\skills_dialog.py:39</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tạo từ mô tả</td><td class="mut">nút</td><td><code>self._gen_instructions</code></td><td class="mut">ui\skills_dialog.py:44</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>skill.instructions if skill else </td><td class="mut">ô nhập nhiều dòng</td><td><code>—</code></td><td class="mut">ui\skills_dialog.py:50</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>QDialogButtonBox.Save | QDialogButtonBox.Cancel</td><td class="mut">nút hộp thoại</td><td><code>—</code></td><td class="mut">ui\skills_dialog.py:55</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tự động tạo</td><td class="mut">nút</td><td><code>self._auto_generate</code></td><td class="mut">ui\skills_dialog.py:127</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Từ file template…</td><td class="mut">nút</td><td><code>self._from_template</code></td><td class="mut">ui\skills_dialog.py:132</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Nhập…</td><td class="mut">nút</td><td><code>self._import</code></td><td class="mut">ui\skills_dialog.py:136</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xuất .md</td><td class="mut">nút</td><td><code>self._export_md</code></td><td class="mut">ui\skills_dialog.py:140</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Nhân bản</td><td class="mut">nút</td><td><code>self._duplicate</code></td><td class="mut">ui\skills_dialog.py:144</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Sửa</td><td class="mut">nút</td><td><code>self._edit</code></td><td class="mut">ui\skills_dialog.py:148</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xóa</td><td class="mut">nút</td><td><code>self._delete</code></td><td class="mut">ui\skills_dialog.py:151</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Đóng</td><td class="mut">nút</td><td><code>self.accept</code></td><td class="mut">ui\skills_dialog.py:154</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Bố cục hiện tại giữ nguyên; chưa phát hiện vấn đề sắp xếp nghiêm trọng.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Chỉ áp thanh menu phẳng mới; nội dung bên trong giữ nguyên.</li></ul></div>
+</div></div></section><section class="sec" id="dialog-skill-edit">
+<div class="hd"><b>20. Skill editor</b><span class="tag">ui/skills_dialog.py:23</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Soạn skill: tên, mô tả, hướng dẫn.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" src="data:image/png;base64,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" 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" 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" alt="Skill editor"></div>
+<p class="rg"><b>✨</b>: sinh hướng dẫn từ mô tả ngắn</p>
+<div class="cap">Đề xuất — bố cục mới</div><p class="mut">Giữ nguyên bố cục bên trong; chỉ đổi thanh menu sang danh sách phẳng.</p>
+
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Bố cục hiện tại giữ nguyên; chưa phát hiện vấn đề sắp xếp nghiêm trọng.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Chỉ áp thanh menu phẳng mới; nội dung bên trong giữ nguyên.</li></ul></div>
+</div></div></section><section class="sec" id="dialog-file-edit">
+<div class="hd"><b>21. File view &amp; AI edit</b><span class="tag">ui/file_edit_dialog.py:50</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Xem và nhờ AI sửa tệp, mở từ panel Files trong chat.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" src="data:image/png;base64,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" 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" 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" alt="File view &amp; AI edit"></div>
+<p class="rg"><b>Tệp nhị phân</b>: trích văn bản, chỉ đọc · <b>Lưu</b>: tạo .bak trước khi ghi</p>
+<div class="cap">Đề xuất — bố cục mới</div><p class="mut">Giữ nguyên bố cục bên trong; chỉ đổi thanh menu sang danh sách phẳng.</p>
+<details class="ctl"><summary>Kiểm kê control — <b>8</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>sp</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\file_edit_dialog.py:66</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mở file khác…</td><td class="mut">nút</td><td><code>self._browse</code></td><td class="mut">ui\file_edit_dialog.py:68</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tải lại từ đĩa</td><td class="mut">nút</td><td><code>self._reload</code></td><td class="mut">ui\file_edit_dialog.py:73</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mở một file để xem hoặc chỉnh sửa.</td><td class="mut">ô nhập nhiều dòng</td><td><code>—</code></td><td class="mut">ui\file_edit_dialog.py:84</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Nói cho AI cách sửa file này (vd: 'sửa lỗi chính tả', 'dịch </td><td class="mut">ô nhập</td><td><code>self._ai_edit</code></td><td class="mut">ui\file_edit_dialog.py:94</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Sửa bằng AI</td><td class="mut">nút</td><td><code>self._ai_edit</code></td><td class="mut">ui\file_edit_dialog.py:97</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Lưu</td><td class="mut">nút</td><td><code>self._save</code></td><td class="mut">ui\file_edit_dialog.py:106</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Đóng</td><td class="mut">nút</td><td><code>self.reject</code></td><td class="mut">ui\file_edit_dialog.py:110</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Bố cục hiện tại giữ nguyên; chưa phát hiện vấn đề sắp xếp nghiêm trọng.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Chỉ áp thanh menu phẳng mới; nội dung bên trong giữ nguyên.</li></ul></div>
+</div></div></section><section class="sec" id="dialog-co4e-agent">
+<div class="hd"><b>22. Co4E agent editor</b><span class="tag">ui/co4e_agent_dialog.py:23</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Định nghĩa agent Co4E: tính cách, quyền, model, skill.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" src="data:image/png;base64,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" 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" 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" alt="Co4E agent editor"></div>
+
+<div class="cap">Đề xuất — bố cục mới</div><p class="mut">Giữ nguyên bố cục bên trong; chỉ đổi thanh menu sang danh sách phẳng.</p>
+<details class="ctl"><summary>Kiểm kê control — <b>9</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>agent.name</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\co4e_agent_dialog.py:32</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>agent.role or 'AGENT</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\co4e_agent_dialog.py:34</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>agent.instructions</td><td class="mut">ô nhập nhiều dòng</td><td><code>—</code></td><td class="mut">ui\co4e_agent_dialog.py:42</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Soạn bằng AI</td><td class="mut">nút</td><td><code>self._ai_draft</code></td><td class="mut">ui\co4e_agent_dialog.py:46</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>getatagent, 'context', </td><td class="mut">ô nhập nhiều dòng</td><td><code>—</code></td><td class="mut">ui\co4e_agent_dialog.py:59</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tải danh sách model</td><td class="mut">nút</td><td><code>self._load_models</code></td><td class="mut">ui\co4e_agent_dialog.py:68</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Đính kèm tệp</td><td class="mut">nút</td><td><code>self._add_attachment</code></td><td class="mut">ui\co4e_agent_dialog.py:99</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Bỏ</td><td class="mut">nút</td><td><code>self._del_attachment</code></td><td class="mut">ui\co4e_agent_dialog.py:102</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>QDialogButtonBox.Save | QDialogButtonBox.Cancel</td><td class="mut">nút hộp thoại</td><td><code>—</code></td><td class="mut">ui\co4e_agent_dialog.py:113</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Bố cục hiện tại giữ nguyên; chưa phát hiện vấn đề sắp xếp nghiêm trọng.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Chỉ áp thanh menu phẳng mới; nội dung bên trong giữ nguyên.</li></ul></div>
+</div></div></section><section class="sec" id="dialog-ext-connector">
+<div class="hd"><b>23. External connector</b><span class="tag">ui/ext_connector_dialog.py:23</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Khai báo kết nối ngoài, 2 chế độ.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" src="data:image/png;base64,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" 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" 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" alt="External connector"></div>
+<p class="rg"><b>MCP (stdio)</b>: lệnh + tham số · <b>REST</b>: URL · key · header · <b>Test</b>: thử kết nối thật</p>
+<div class="cap">Đề xuất — bố cục mới</div><p class="mut">Giữ nguyên bố cục bên trong; chỉ đổi thanh menu sang danh sách phẳng.</p>
+<details class="ctl"><summary>Kiểm kê control — <b>11</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._apply_preset</code></td><td class="mut">ui\ext_connector_dialog.py:35</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>connector.get('name', </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\ext_connector_dialog.py:43</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>lambda i: self.stack.setCurrentIndex(self.mode_combo.currentData() != </code></td><td class="mut">ui\ext_connector_dialog.py:47</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>connector.get('command', </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\ext_connector_dialog.py:59</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td> '.join(connector.get('args', []) or []</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\ext_connector_dialog.py:62</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>connector.get('base_url', </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\ext_connector_dialog.py:69</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>connector.get('api_key', </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\ext_connector_dialog.py:72</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>connector.get('auth_header', 'Authorization</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\ext_connector_dialog.py:75</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>connector.get('auth_scheme', 'Bearer</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\ext_connector_dialog.py:77</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Kiểm tra kết nối</td><td class="mut">nút</td><td><code>self._test_connection</code></td><td class="mut">ui\ext_connector_dialog.py:90</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>QDialogButtonBox.Save | QDialogButtonBox.Cancel</td><td class="mut">nút hộp thoại</td><td><code>—</code></td><td class="mut">ui\ext_connector_dialog.py:103</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Bố cục hiện tại giữ nguyên; chưa phát hiện vấn đề sắp xếp nghiêm trọng.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Chỉ áp thanh menu phẳng mới; nội dung bên trong giữ nguyên.</li></ul></div>
+</div></div></section><section class="sec" id="dialog-permission">
+<div class="hd"><b>24. Permission request</b><span class="tag">ui/permission_dialog.py:13</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Chốt chặn cuối trước khi agent làm việc có hậu quả. Bật Tự chạy thì bỏ qua bước này.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" src="data:image/png;base64,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" 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" alt="Permission request"></div>
+<p class="rg"><b>Xem trước</b>: lệnh sắp chạy hoặc diff sắp ghi</p>
+<div class="cap">Đề xuất — bố cục mới</div><p class="mut">Giữ nguyên bố cục bên trong; chỉ đổi thanh menu sang danh sách phẳng.</p>
+
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Bố cục hiện tại giữ nguyên; chưa phát hiện vấn đề sắp xếp nghiêm trọng.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Chỉ áp thanh menu phẳng mới; nội dung bên trong giữ nguyên.</li></ul></div>
+</div></div></section><section class="sec" id="dialog-agent-edit">
+<div class="hd"><b>25. Admin agent editor</b><span class="tag">ui/agents_admin_tab.py:35</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Soạn agent hệ thống: gắn vào chức năng nào, provider/model gì.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" src="data:image/png;base64,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" 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" 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" alt="Admin agent editor"></div>
+
+<div class="cap">Đề xuất — bố cục mới</div><p class="mut">Giữ nguyên bố cục bên trong; chỉ đổi thanh menu sang danh sách phẳng.</p>
+
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Bố cục hiện tại giữ nguyên; chưa phát hiện vấn đề sắp xếp nghiêm trọng.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Chỉ áp thanh menu phẳng mới; nội dung bên trong giữ nguyên.</li></ul></div>
+</div></div></section><section class="sec" id="dialog-login">
+<div class="hd"><b>26. Login (dead screen — not wired)</b><span class="tag">ui/login_dialog.py:57</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Màn đăng nhập — <b>đã dựng xong nhưng không nơi nào gọi</b>. App khởi động thẳng với user \“local\”, quyền admin.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" src="data:image/png;base64,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" 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" 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" alt="Login (dead screen — not wired)"></div>
+<p class="rg"><b>3 trang</b>: Khởi tạo · Đăng nhập · Offline</p>
+<div class="cap">Đề xuất — bố cục mới</div><p class="mut">Giữ nguyên bố cục bên trong; chỉ đổi thanh menu sang danh sách phẳng.</p>
+<details class="ctl"><summary>Kiểm kê control — <b>9</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>Thoát</td><td class="mut">nút</td><td><code>self.reject</code></td><td class="mut">ui\login_dialog.py:87</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>self.ctx.config.shared_dir</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\login_dialog.py:121</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Chọn…</td><td class="mut">nút</td><td><code>self._bs_browse</code></td><td class="mut">ui\login_dialog.py:122</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tạo tài khoản Admin</td><td class="mut">nút</td><td><code>self._bs_create_admin</code></td><td class="mut">ui\login_dialog.py:137</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>cached_code</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\login_dialog.py:186</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>self.ctx.config.auth.get('last_department', </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\login_dialog.py:199</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Đăng nhập</td><td class="mut">nút</td><td><code>lambda: self._do_login(shared_dir)</code></td><td class="mut">ui\login_dialog.py:209</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>login.offline_btn', role=role</td><td class="mut">nút</td><td><code>lambda: self._finish_login(Account(username=username, role=role, code=</code></td><td class="mut">ui\login_dialog.py:256</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thử lại</td><td class="mut">nút</td><td><code>self._retry</code></td><td class="mut">ui\login_dialog.py:263</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Bố cục hiện tại giữ nguyên; chưa phát hiện vấn đề sắp xếp nghiêm trọng.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Chỉ áp thanh menu phẳng mới; nội dung bên trong giữ nguyên.</li></ul></div>
+</div></div></section><section class="sec" id="overlay-help-panel">
+<div class="hd"><b>27. Help dock — expanded panel</b><span class="tag">ui/help_agent_widget.py:79</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Trợ lý dùng app, nổi ở góc phải và có mặt trên mọi màn. Cố tình không có công cụ — chỉ hỏi đáp cách dùng.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" src="data:image/png;base64,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" 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" 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" alt="Help dock — expanded panel"></div>
+<p class="rg"><b>3 trạng thái</b>: tab mép phải → huy hiệu → panel 340×460, <b>luôn ghim góc dưới phải</b> · <b>3 nút</b>: <b>›</b> ẩn vào cạnh phải · <b>—</b> thu nhỏ về huy hiệu · tab mép để hiện lại · <b>Model</b>: chọn ở Monitoring ▸ Agents Admin, agent chức năng “help”</p>
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="main dlg"><div class="r tb"><div class="ttl">Trợ lý — thu gọn còn một chấm</div></div><div class="r grow"><div class="c w24"><div class="lbl">Bình thường</div><div class="b grow ctr2" style="gap:14px"><div class="oldbox">cũ 84×64</div><div class="fab"><span class="spark">✨</span></div></div><div class="s">26×26 · không chữ, không chevron · −88% diện tích</div></div><div class="c w24"><div class="lbl">Rê chuột / focus</div><div class="b grow ctr2"><span class="fabpill"><span class="fab"><span class="spark">✨</span></span>AI Assistant</span></div><div class="s">tên chỉ hiện lúc cần</div></div><div class="c grow"><div class="lbl">Mở — “Ẩn” nằm trong menu ⋯</div><div class="b grow pnl"><div class="r tb phdr"><span class="spark">✨</span><b>AI Assistant</b><div class="grow"></div><span class="mut">— ⋯</span></div><div class="mnu"><div class="mi">Thu nhỏ về chấm</div><div class="mi">Ẩn trợ lý vào cạnh phải</div><div class="mi">Đổi model…</div></div><div class="msg a">Xin chào Nam, mình giúp gì khi bạn dùng app?</div><div class="grow"></div><div class="r tb"><div class="inp grow">Hỏi về cách dùng app…</div><div class="btn pri">Gửi</div></div></div></div><div class="c w18"><div class="lbl">Đã ẩn</div><div class="b grow ctr2"><div class="edge wide">‹</div></div><div class="s">tab mép 28px</div></div></div></div></div>
+<details class="ctl"><summary>Kiểm kê control — <b>5</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>self</td><td class="mut">nút</td><td><code>self._show_launcher</code></td><td class="mut">ui\help_agent_widget.py:169</td><td class="mv">Giữ — tab mép mở lại trợ lý, nới 16px → 28px</td></tr><tr><td>self</td><td class="mut">nút</td><td><code>self._hide_to_edge</code></td><td class="mut">ui\help_agent_widget.py:178</td><td class="mv">→ mục “Ẩn trợ lý vào cạnh phải” trong menu ⋯ ở header panel</td></tr><tr><td>header</td><td class="mut">nút</td><td><code>self._collapse</code></td><td class="mut">ui\help_agent_widget.py:214</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>row</td><td class="mut">ô nhập</td><td><code>self._send</code></td><td class="mut">ui\help_agent_widget.py:236</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>row</td><td class="mut">nút</td><td><code>self._send</code></td><td class="mut">ui\help_agent_widget.py:241</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li><b>Hai vùng bấm cho một tính năng.</b> Huy hiệu mở, chevron ẩn — nằm sát nhau, dễ bấm nhầm.</li><li><b>Vùng bấm quá nhỏ.</b> Chevron rộng <b>18px</b>, tab mép <b>16px</b> (<code>help_agent_widget.py:36-38</code>) — dưới ngưỡng ~24px để bấm thoải mái, nhất là trên màn cảm ứng.</li><li><b>Ba trạng thái, thừa một.</b> “Nép mép” và “huy hiệu” đều nghĩa là <i>đang đóng</i>; người dùng phải học hai kiểu đóng và hai đường quay lại.</li><li><b>Chiếm 84×64px vĩnh viễn</b> ngay góc dưới phải (huy hiệu 64 + khe 2 + chevron 18 — <code>help_agent_widget.py:34-37</code>) — ở màn Cowork nó nằm đè lên vùng nút Gửi, dù cả ngày chỉ mở vài lần.</li><li>Huy hiệu dùng <b>chính icon app</b> (<code>help_agent_widget.py:49-53</code>, dự phòng là glyph robot) nên nhìn không khác gì icon cửa sổ; nhãn “Trợ lý App” / “App Assistant” / “アプリアシスタント” nói <i>chỗ dùng</i> chứ không nói <i>nó là gì</i>.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li><b>Một chấm 26px, không chữ.</b> Bỏ luôn chevron rời — chỗ chiếm giảm từ <b>84×64 xuống 26×26</b> (<b>−88% diện tích</b>). Vẫn là một vùng bấm, 26px ≥ ngưỡng bấm thoải mái.</li><li><b>Tên: “AI Assistant”</b> — giữ nguyên ở cả <b>3 ngôn ngữ</b>, sửa đúng một khoá <code>help_agent.title</code> (<code>i18n.py:470</code>) thay cho “App Assistant / Trợ lý App / アプリアシスタント”. Tên dài không còn là vấn đề vì nó không nằm trên màn lúc bình thường.</li><li><b>Chữ chỉ hiện khi rê chuột / focus bàn phím</b> — chấm nở thành pill “✨ AI Assistant”. Lúc bình thường màn hình không có chữ nào thừa.</li><li><b>“Ẩn trợ lý” dời vào menu ⋯</b> trong header panel, cạnh “Thu nhỏ”. Không mất chức năng — chỉ chuyển tới lúc người dùng <i>đang</i> tương tác.</li><li>Thường ngày chỉ còn <b>2 trạng thái</b>: đóng ↔ mở. Ẩn hẳn thành lựa chọn hiếm.</li><li>Tab mép nới từ <b>16px → 28px</b> cho bấm được.</li><li>Ở màn có ô nhập dưới đáy (Cowork), chấm <b>nâng lên trên hàng nhập</b>, không đè nút Gửi.</li></ul></div>
+</div></div></section>
+
+<h2>Phần 4 — Phát triển lần sau</h2>
+<p class="mut">Những việc audit này phát hiện nhưng <b>cố ý không làm</b>, vì đều thêm
+hoặc đổi chức năng — ngoài phạm vi “chỉ sắp xếp lại”.</p>
+<table><tr><th style="width:26%">Việc</th><th>Chi tiết</th><th style="width:16%">Loại</th></tr>
+<tr><td><b>Xuất log cho Nhật ký gần đây</b></td><td>Hiện chỉ có “Xem tất cả” nhảy sang Action Logs (<code>monitoring_tab.py:586</code>). Xuất ra tệp là chức năng mới.</td><td class="mut">chức năng mới</td></tr><tr><td><b>Bỏ auto-refresh, thay bằng nút bấm</b></td><td>Monitoring làm mới mỗi <b>3 giây</b> (<code>monitoring_tab.py:43</code>), Schedule <b>10 giây</b> (<code>schedule_task_tab.py:150</code>), Dashboard <b>30 giây</b> (<code>dashboard_tab.py:175</code>). Đề xuất: chỉ làm mới khi vào màn + một nút thủ công.</td><td class="mut">đổi hành vi</td></tr><tr><td><b>Nút tạo skill mới</b></td><td>Cả <code>SkillsDialog</code> lẫn <code>SkillManagerTab</code> đều không có. Chỉ tạo được qua AI / template / nhập / nhân bản. <code>SkillEditDialog</code> đã làm được việc này, chỉ thiếu lối vào.</td><td class="mut">chức năng mới</td></tr><tr><td><b>Nút “chat mới” trong pane Lịch sử</b></td><td><code>sidebar.py:68</code> khai báo tín hiệu <code>new_chat</code>, <code>workspace_tab.py:241</code> đã nối — nhưng không nơi nào phát.</td><td class="mut">hoàn thiện thứ đã dựng</td></tr><tr><td><b>Gọi <code>ensure_starter_project()</code></b></td><td>Hàm có docstring “đảm bảo luôn có ít nhất một project” nhưng không ai gọi, trong khi <code>refresh()</code> lại ghi “no auto-seed”. Hai chỗ mâu thuẫn.</td><td class="mut">đổi hành vi</td></tr><tr><td><b>Mật khẩu Sandbox hard-code</b></td><td><code>settings_dialog.py:115</code> để mật khẩu mở khoá ngay trong mã nguồn.</td><td class="mut">bảo mật</td></tr><tr><td><b>Hai lớp trùng tên <code>CustomAgent</code></b></td><td><code>core/custom_agents.py:23</code> và <code>core/co4e.py:117</code> — khác trường, khác thư mục lưu.</td><td class="mut">dọn mã</td></tr><tr><td><b>Sáu màn không có đường vào</b></td><td>AccountsTab · LoginDialog · FlowBuilderDialog · AgentManagerTab · SkillManagerTab · McpServerEditDialog — tổng 64 control.</td><td class="mut">quyết định giữ hay gỡ</td></tr></table>
+
+<h2>Phần 5 — Màn chết (chỉ ghi nhận)</h2>
+<p class="mut">Sáu màn có trong code nhưng không tới được — tổng <b>64 control</b>
+(accounts 18 · flow_dialog 28 · agent_manager 7 · skill_manager 7 · mcp_servers 4).
+Không nằm trong kiểm kê phía trên vì không có đường nào tới; chỉ ghi nhận, không đề xuất gỡ.</p>
+<table><tr><th>Thành phần</th><th>Vị trí</th><th>Tình trạng</th></tr><tr><td><b>AccountsTab</b></td><td><code>ui/accounts_tab.py:153</code></td><td class="mut">Quản lý tài khoản/nhóm đầy đủ, nhưng không được gắn vào MonitoringTab.</td></tr><tr><td><b>LoginDialog</b></td><td><code>ui/login_dialog.py:57</code></td><td class="mut">Màn đăng nhập hoàn chỉnh; app.py:860 bỏ qua, hard-code user “local”.</td></tr><tr><td><b>FlowBuilderDialog</b></td><td><code>ui/flow_dialog.py:34</code></td><td class="mut">Bị Co4E thay thế; không nơi nào gọi.</td></tr><tr><td><b>AgentManagerTab</b></td><td><code>ui/agent_manager_tab.py:28</code></td><td class="mut">Chỉ dùng bởi FlowBuilderDialog → cũng không tới được.</td></tr><tr><td><b>SkillManagerTab</b></td><td><code>ui/skill_manager_tab.py</code></td><td class="mut">Chỉ dùng bởi FlowBuilderDialog → cũng không tới được.</td></tr><tr><td><b>McpServerEditDialog</b></td><td><code>ui/mcp_servers_dialog.py:15</code></td><td class="mut">Bị ExtConnectorEditDialog thay thế.</td></tr></table>
+<div class="note warn">Ngoài phạm vi: <code>settings_dialog.py:115</code> hard-code mật khẩu
+Sandbox; hai lớp cùng tên <code>CustomAgent</code>
+(<code>custom_agents.py:23</code> · <code>co4e.py:117</code>).</div>
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+margin-top:2px}
+.wf .hd2.row{display:flex;align-items:center;justify-content:space-between}
+.wf .pchev{color:var(--mut);font-size:12px;font-weight:400}
+/* The rail's own MENU collapse control (150px <-> 54px in the app). */
+.wf .menutog{display:flex;align-items:center;justify-content:space-between;
+color:var(--fnt);font-size:9px;letter-spacing:.1em;font-weight:700;padding:2px 6px 6px}
+.wf .menutog .chev{font-size:13px;font-weight:400}
+.wf .rail.narrow{width:46px;align-items:center}
+.wf .rail.narrow .menutog{justify-content:center;padding:2px 0 6px}
+.wf .newbtn.ic,.wf .i.ic,.wf .acct.ic{text-align:center;padding:5px 0;width:100%}
+.wf .acct.ic{border-top:1px solid var(--navb)}
+.wf .w22{flex:none;width:22%}
+.wf .inp{background:var(--rz);border:1px solid var(--bds);border-radius:4px;
+padding:6px 8px;color:var(--tx);height:26px;box-sizing:border-box;overflow:hidden}
+.wf .inp.tall{min-height:52px;height:auto}
+.wf .btn{background:var(--rz);border:1px solid var(--bds);border-radius:4px;
+padding:4px 9px;white-space:nowrap;align-self:center;height:26px;box-sizing:border-box;
+display:inline-flex;align-items:center;justify-content:center;line-height:1}
+.wf .btn.pri{background:var(--ac);color:#fff;border-color:transparent;font-weight:600}
+.wf .tab{padding:4px 10px;border-bottom:2px solid transparent;color:var(--mut);white-space:nowrap}
+.wf .tab.on{border-bottom-color:var(--ac);color:var(--tx);font-weight:600}
+.wf .stat{border-top:1px solid var(--bd);padding-top:5px;color:var(--fnt);
+font-size:10px;flex:none}
+/* Shared project picker — same spot on every project-scoped screen. */
+.wf .r.pb{border-bottom:1px solid var(--bd);padding-bottom:7px;margin-bottom:2px}
+.wf .pick{background:var(--navs);border:1px solid var(--navb);border-radius:4px;
+padding:4px 10px;font-weight:600;color:var(--tx)}
+.wf .pane{background:var(--sf);border:1px solid var(--bd);border-radius:4px;gap:3px}
+.wf .lane{background:var(--sf);border:1px solid var(--bd);border-radius:4px;padding:6px;gap:5px}
+.wf .lane.warn{border-color:var(--warn)}
+/* 7 lanes must fit without horizontal scrolling — that is the whole point. */
+.wf .k7{gap:4px}
+.wf .k7 .lane{padding:5px;gap:4px;min-width:0}
+.wf .k7 .card{font-size:10px;padding:4px 6px}
+.wf .k7 .hd2{font-size:8.5px}
+.tag.ok{color:var(--ok);border-color:var(--ok)}
+b.ok,span.ok{color:var(--ok)}b.bad,span.bad{color:var(--bad)}
+td.ok{color:var(--ok);white-space:nowrap}
+tr.grp td{background:var(--sf);font-weight:700;font-size:13px;
+border-bottom:1px solid var(--bds);padding-top:14px}
+.wf .li{padding:4px 7px;border-radius:4px;color:var(--tx);line-height:1.35}
+.wf .li.on{background:var(--navs);font-weight:600}
+.wf .card{background:var(--rz);border:1px solid var(--bd);border-radius:4px;
+padding:5px 7px;line-height:1.35}
+.wf .chat{gap:6px;padding:0}
+.wf .msg{border-radius:5px;padding:6px 9px;line-height:1.45;max-width:88%}
+.wf .msg.u{background:var(--navs);align-self:flex-end}
+.wf .msg.a{background:var(--sf);border:1px solid var(--bd)}
+.wf .node{background:var(--sf);border:1px solid var(--bds);border-radius:4px;
+padding:6px 8px;white-space:nowrap;font-size:10px;flex:none}
+.wf .node.ok{border-color:var(--ok);color:var(--ok)}
+.wf .node.run{border-color:var(--ac);color:var(--ac);font-weight:600}
+.wf .arw{color:var(--fnt)}
+.wf .diff{font-family:"Cascadia Code",Consolas,monospace;font-size:9.5px;
+line-height:1.7;background:var(--rz);border-radius:4px;padding:5px 7px}
+.wf .add{color:var(--ok)}.wf .del{color:var(--bad)}
+.wf .ok{color:var(--ok)}.wf .bad{color:var(--bad)}
+.wf .cm{color:var(--fnt)}.wf .kw{color:var(--ac)}.wf .fn{color:var(--warn)}
+.wf .w26{flex:none;width:26%}.wf .w28{flex:none;width:28%}.wf .w32{flex:none;width:32%}
+/* ---- section-10 interactive-preview vocabulary: literal palette from 10SuKienBaoMat.html ---- */
+.wf .kpi2{flex:1;background:var(--rz);border:1px solid var(--bd);border-radius:6px;padding:7px 9px;display:flex;align-items:center;gap:7px;min-width:0}
+.wf .kpi2 b{font-size:15px;display:block;line-height:1.2}
+.wf .ic{width:20px;height:20px;border-radius:5px;flex:none;display:flex;align-items:center;justify-content:center;font-size:10px}
+.wf .ic.blue{background:#DEECF9;color:#0078D4}.wf .ic.grn{background:#DFF6DD;color:#107C10}
+.wf .ic.red{background:#FDE7E9;color:#D13438}.wf .ic.pur{background:#F3E8FD;color:#8764B8}
+.wf .ic.amb{background:#FFF4CE;color:#795548}.wf .ic.gry{background:#F3F2F1;color:#605E5C}
+.wf .pill{display:inline-block;padding:2px 8px;border-radius:99px;font-size:9px;font-weight:700;white-space:nowrap}
+.wf .pill.red{background:#FDE7E9;color:#D13438}.wf .pill.grn{background:#E4F7C7;color:#498205}
+.wf .pill.teal{background:#D2F0EE;color:#008272}.wf .pill.org{background:#FDE6D9;color:#DA3B01}
+.wf .pill.blue{background:#DEECF9;color:#0078D4}.wf .pill.amb{background:#FFF4CE;color:#795548}
+.wf .pill.pur{background:#F3E8FD;color:#8764B8}.wf .pill.gry{background:#F3F2F1;color:#605E5C}
+.wf .r.wrap{flex-wrap:wrap}
+.wf .av{display:inline-flex;width:16px;height:16px;border-radius:50%;flex:none;align-items:center;
+justify-content:center;font-size:7px;font-weight:700;color:#fff;margin-right:4px}
+.wf .av.red{background:#D13438}.wf .av.blue{background:#0078D4}
+.wf .av.pur{background:#8764B8}.wf .av.grn{background:#107C10}.wf .av.amb{background:#FFB900}
+.wf .av.teal{background:#008272}.wf .av.dark{background:#24292F}.wf .av.olv{background:#498205}
+.wf .tblwrap{overflow-y:auto;overflow-x:hidden}
+.wf .evtbl{width:100%;border-collapse:collapse;font-size:9.5px}
+.wf .evtbl thead{position:sticky;top:0;background:var(--bg)}
+.wf .evtbl th{text-align:left;padding:4px 6px;color:var(--fnt);font-weight:700;text-transform:uppercase;
+font-size:8px;letter-spacing:.04em;border-bottom:1px solid var(--bd);white-space:nowrap;cursor:default}
+.wf .evtbl td{padding:4px 6px;border-bottom:1px solid var(--bd);white-space:nowrap;vertical-align:middle}
+.wf .evtbl td.dt{white-space:normal;color:var(--fnt)}
+.wf .evtbl tbody tr{cursor:pointer}.wf .evtbl tbody tr:hover{background:var(--sf)}
+.wf .pane.hide{display:none}
+.wf .hide{display:none}
+/* ---- Settings field-display alternatives (toggle switch / stepper) ---- */
+.wf .tsw{display:inline-flex;align-items:center;width:32px;height:17px;border-radius:99px;
+background:var(--bds);position:relative;cursor:pointer;flex:none;transition:background .15s}
+.wf .tsw i{position:absolute;top:2px;left:2px;width:13px;height:13px;border-radius:50%;
+background:#fff;transition:left .15s;box-shadow:0 1px 2px rgba(0,0,0,.25)}
+.wf .tsw.on{background:var(--ac)}
+.wf .tsw.on i{left:17px}
+.wf .stp{display:inline-flex;align-items:center;border:1px solid var(--bds);border-radius:4px;
+overflow:hidden;height:26px;box-sizing:border-box;flex:none}
+.wf .stp .sb{width:22px;height:100%;display:flex;align-items:center;justify-content:center;
+background:var(--rz);cursor:pointer;font-weight:700;color:var(--tx);user-select:none}
+.wf .stp .sb:hover{background:var(--sf)}
+.wf .stp .sv{padding:0 10px;min-width:44px;text-align:center;font-weight:600;background:var(--bg);
+height:100%;display:flex;align-items:center;justify-content:center;
+border-left:1px solid var(--bds);border-right:1px solid var(--bds)}
+.wf .frow{display:flex;align-items:center;gap:6px;min-height:0;padding:2px 0}
+.wf .seg{display:inline-flex;border:1px solid var(--bds);border-radius:4px;overflow:hidden;flex:none}
+.wf .seg span{background:var(--bg);color:var(--mut);padding:3px 10px;cursor:pointer;font-size:10px;white-space:nowrap}
+.wf .seg span.on{background:var(--ac);color:#fff;font-weight:600}
+.wf .pane.overlay{position:absolute;top:0;right:0;bottom:0;width:38%;z-index:5;
+background:var(--bg);border-left:1px solid var(--bd);box-shadow:-6px 0 14px rgba(0,0,0,.18)}
+.wf .dtl{padding:2px 0 0}
+.wf .dtl.grow{overflow-y:auto}
+.wf .pnlfoot{border-top:1px solid var(--bd);flex:none;padding-top:6px}
+#s10close{cursor:pointer}
+#s11close{cursor:pointer}
+.wf .dtl .hd3{font-size:8px;font-weight:700;text-transform:uppercase;letter-spacing:.05em;color:var(--fnt);
+padding-bottom:3px;margin:8px 0 3px;border-bottom:1px solid var(--bd)}
+.wf .dtl .hd3:first-child{margin-top:0}
+.wf .dtl .fld{display:flex;justify-content:space-between;align-items:center;padding:3px 0;gap:6px}
+.wf .dtl .fld .lbl{color:var(--mut)}
+.wf .dtl .fld .val{font-weight:600;text-align:right}
+.wf .dtl .mono{font-family:"Cascadia Code",Consolas,monospace;background:var(--sf);border:1px solid var(--bd);
+border-radius:3px;padding:1px 6px;font-size:9px;font-weight:400}
+.wf .dtl .tagn{background:var(--sf);border-radius:3px;padding:1px 7px;font-size:9px;font-weight:400}
+.wf .dtl .code{background:#1b1a19;color:#CCFF00;font-family:"Cascadia Code",Consolas,monospace;
+font-size:9px;padding:6px 8px;border-radius:4px;margin:4px 0;display:flex;align-items:center;
+justify-content:space-between;gap:6px}
+.wf .dtl .code .cpy{background:rgba(255,255,255,.15);color:#fff;border-radius:3px;padding:2px 6px;
+font-size:8px;white-space:nowrap;flex:none;cursor:pointer}
+.wf select.btn{appearance:none;-webkit-appearance:none;font:inherit;color:inherit;padding-right:16px;cursor:pointer;
+background-image:url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='8' height='8' viewBox='0 0 10 10'%3E%3Cpath d='M1 3.5L5 7.5L9 3.5' stroke='%23888' stroke-width='1.5' fill='none' stroke-linecap='round'/%3E%3C/svg%3E");
+background-repeat:no-repeat;background-position:right 4px center}
+.wf input.inp{font:inherit;color:inherit;outline:none;width:100%}
+.wf .srchwrap{position:relative;display:flex;align-items:center;min-width:0}
+.wf .srchwrap .inp{padding-right:48px}
+.wf .srchwrap .aibtn{position:absolute;right:3px;top:50%;transform:translateY(-50%);cursor:pointer;
+line-height:1;padding:5px 10px;border-radius:4px;font-size:11px}
+@media(max-width:760px){.wf{height:auto;flex-direction:column}.wf .rail{width:auto}}
+.tgl{position:fixed;top:16px;right:16px;z-index:9;background:var(--sf);color:var(--tx);
+border:1px solid var(--bds);border-radius:var(--r);padding:7px 13px;cursor:pointer;font-size:13px}
+.sw{display:inline-flex;border:1px solid var(--bds);border-radius:4px;overflow:hidden;margin-left:auto}
+.sw button{background:var(--bg);color:var(--mut);border:0;padding:3px 11px;cursor:pointer;font-size:12px}
+.sw button.on{background:var(--ac);color:#fff;font-weight:600}
+</style></head><body>
+<button class="tgl" id="tgl">🌙 Tối</button>
+<div class="wrap">
+<header>
+<h1>CoworkLocal — Audit UI/UX</h1>
+<p class="mut">Hiện trạng 27 màn hình · đề xuất sắp xếp lại theo UI/UX kiểu Claude ·
+bảng màu Visual Studio Code · <b>dựng lúc 21:26 15/08/2026</b></p>
+<div class="note warn"><b>Ràng buộc:</b> chỉ sắp xếp lại, <b>không xoá/thêm chức năng</b>.
+Hai chỗ lệch được đánh dấu ở Phần 1.</div>
+<div class="note"><b>Ảnh chụp:</b> render offscreen trên <b>bản sao</b> dữ liệu
+(scheduler tắt, hash dữ liệu thật trước/sau giống hệt). Nạp dữ liệu mẫu: 3 project ·
+6 chat · 10 task · 3 workflow · 45 ngày token. Ảnh đã chỉnh menu sáng đúng mục —
+xem <b>lỗi #9</b>.</div>
+</header>
+
+<div class="toc"><b>Mục lục</b>
+<p class="mut" style="margin:4px 0 8px">Phần 1 — Điều hướng · Phần 2 — Luồng người dùng ·
+Phần 3 — 27 màn hình · Phần 4 — Màn chết</p>
+<ol><li><a href="#dashboard">Dashboard</a></li><li><a href="#schedule-kanban">Schedule Task — Kanban</a></li><li><a href="#schedule-calendar">Schedule Task — Calendar</a></li><li><a href="#workspace-project">Workspace ▸ Project</a></li><li><a href="#workspace-cowork">Workspace ▸ Cowork</a></li><li><a href="#workspace-co4e">Workspace ▸ Co4E</a></li><li><a href="#workspace-folder">Workspace ▸ Folder</a></li><li><a href="#workspace-graphrag">Workspace ▸ GraphRAG</a></li><li><a href="#monitoring-tổng-quan">Monitoring ▸ Tổng quan</a></li><li><a href="#monitoring-sự-kiện-bảo-mật">Monitoring ▸ Sự kiện bảo mật</a></li><li><a href="#monitoring-lịch-sử-gọi-mcp">Monitoring ▸ Lịch sử gọi MCP</a></li><li><a href="#monitoring-nhật-ký-hành-động">Monitoring ▸ Nhật ký hành động</a></li><li><a href="#monitoring-trạng-thái-agent">Monitoring ▸ Trạng thái Agent</a></li><li><a href="#monitoring-agents-admin">Monitoring ▸ Agents Admin</a></li><li><a href="#monitoring-công-cụ">Monitoring ▸ Công cụ</a></li><li><a href="#monitoring-icon">Monitoring ▸ Icon</a></li><li><a href="#dialog-settings">Settings</a></li><li><a href="#dialog-task-editor">Task Editor</a></li><li><a href="#dialog-skills">Skills manager</a></li><li><a href="#dialog-skill-edit">Skill editor</a></li><li><a href="#dialog-file-edit">File view &amp; AI edit</a></li><li><a href="#dialog-co4e-agent">Co4E agent editor</a></li><li><a href="#dialog-ext-connector">External connector</a></li><li><a href="#dialog-permission">Permission request</a></li><li><a href="#dialog-agent-edit">Admin agent editor</a></li><li><a href="#dialog-login">Login (dead screen — not wired)</a></li><li><a href="#overlay-help-panel">Help dock — expanded panel</a></li></ol></div>
+
+<h2>Phần 1 — Điều hướng</h2>
+<div class="cols">
+<div><div class="cap">Hiện tại</div><pre class="tree">Dashboard
+Schedule Task
+Workspace  ▼          ← nhánh accordion, tab strip bên trong BỊ ẨN
+   Project
+   Cowork             ← TỰ ẨN khi chưa chọn project
+   Co4E
+   Folder
+   GraphRAG           ← TỰ ẨN khi chưa chọn project
+Monitoring ▼          ← nhánh accordion, tab strip BỊ ẨN
+   Tổng quan
+   Sự kiện bảo mật
+   Lịch sử gọi MCP
+   Nhật ký hành động
+   Trạng thái Agent
+   Agents Admin
+   Công cụ
+   Icon</pre></div>
+<div><div class="cap">Đề xuất</div><pre class="tree">[ + Đoạn chat mới ]     ← hành động chính, trên cùng
+──────────────
+Project                 ← màn đầu, giữ nguyên
+Cowork                  ← luôn hiện (mờ đi nếu chưa chọn project)
+Co4E
+Folder
+GraphRAG                ← luôn hiện (mờ đi nếu chưa chọn project)
+Schedule Task
+──────────────
+RECENTS                 ← History dời từ pane giữa lên đây
+  · thread gần nhất…
+──────────────  (ghim đáy — nhóm phụ trợ)
+Dashboard               ← vẫn 1 cú nhấp như cũ
+Monitoring              ← BỎ ẨN dải tab, đủ 8 mục nằm ngang trong trang:
+   [Tổng quan] [Sự kiện bảo mật] [Lịch sử gọi MCP]
+   [Nhật ký hành động] [Trạng thái Agent]
+   [Agents Admin] [Công cụ] [Icon]
+👤 local · Provider ▾   ← gom Provider/Language/Theme/Settings</pre></div>
+</div>
+<h3>Chín điểm đã xác minh trong code</h3>
+<table><tr><th style="width:32%">Vấn đề</th><th>Chi tiết</th></tr><tr><td><b>Accordion 2 cấp, không phẳng</b></td><td><code>app.py:170</code> ghi là \“Claude-style\” nhưng là <code>QTreeWidget</code> accordion. Claude dùng danh sách phẳng.</td></tr><tr><td><b>Mục tự biến mất</b></td><td><code>workspace_tab.py:485</code> ẩn <b>Cowork</b> và <b>GraphRAG</b> khi chưa chọn project.</td></tr><tr><td><b>Tab strip bị ẩn</b></td><td><code>hide_tab_bar()</code> ẩn dải tab có sẵn → menu là đường duy nhất.</td></tr><tr><td><b>History chỉ có ở tab Cowork</b></td><td><code>workspace_tab.py:169</code>. <span class='ok'>Điểm làm tốt phải giữ:</span> lịch sử <b>đã gom theo project</b> — lưu trong <code>&lt;project&gt;/.cowork_history</code> (<code>config.py:590</code>), hiển thị gom nhóm ở <code>sidebar.py:193</code>.</td></tr><tr><td><b>Monitoring gom 5 việc rời rạc</b></td><td>Chi phí · log bảo mật · quản trị agent · cấu hình tool · thư viện icon.</td></tr><tr><td><b>Dashboard trùng Monitoring ▸ Tổng quan</b></td><td>Cùng bộ <code>StatCard</code> + <code>BudgetCard</code>.</td></tr><tr><td><b>Top bar giữ thiết lập</b></td><td>Provider/Ngôn ngữ/Giao diện ở topbar, tách khỏi Cài đặt.</td></tr><tr><td><b>Header không đổi theo màn</b></td><td>Mọi sub-tab đều hiện <i>\“Workspace — Projects\”</i>.</td></tr><tr><td><b><span class='bad'>LỖI: bấm mục con Workspace, menu nhảy về mục cha</span></b></td><td><code>_goto</code> gọi <code>refresh()</code> (<code>app.py:726</code>) → <code>subtabs_changed</code> vô điều kiện (<code>workspace_tab.py:497</code>) → <code>takeChildren()</code> (<code>app.py:691</code>) huỷ mục vừa bấm.<br><b>Đo được:</b> 5/5 mục Workspace mất highlight, 0/8 mục Monitoring bị.</td></tr></table>
+
+<h3>Khung ứng dụng — thanh trên cùng &amp; thanh menu</h3>
+<p class="mut">Không thuộc màn nào nên liệt kê riêng.</p>
+<details class="ctl"><summary>Kiểm kê control — <b>8</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>—</td><td class="mut">cây</td><td><code>lambda cur, _prev: self._navigate(cur); self._on_nav_click</code></td><td class="mut">app.py:175</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>MENU</td><td class="mut">nút</td><td><code>self._toggle_nav</code></td><td class="mut">app.py:218</td><td class="mv">Giữ — nút MENU gập sidebar (150↔54px)</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._on_provider_changed</code></td><td class="mut">app.py:559</td><td class="mv">→ menu tài khoản ở đáy sidebar</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._on_language_changed</code></td><td class="mut">app.py:568</td><td class="mv">→ menu tài khoản ở đáy sidebar</td></tr><tr><td>Cài đặt</td><td class="mut">nút</td><td><code>self._open_settings</code></td><td class="mut">app.py:586</td><td class="mv">→ menu tài khoản ở đáy sidebar</td></tr><tr><td>self._tray_open_act</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">app.py:329</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>self._tray_quit_act</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">app.py:330</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>_icon(icon_name</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">app.py:625</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+
+<h3>Các nút thu gọn / mở rộng — giữ nguyên toàn bộ</h3>
+<p class="mut">App có <b>11 chỗ</b> gập được. Thiết kế mới giữ đủ cả 11.</p>
+<div class="cols" style="align-items:start">
+<div><div class="cap">Menu mở rộng</div><div class="wf demo" style="height:570px"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i on">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="ttl">Nội dung</div><div class="b grow"></div></div></div></div>
+<div><div class="cap">Menu đã gập (54px, chỉ còn icon)</div>
+<div class="wf demo" style="height:570px"><div class="rail narrow"><div class="menutog"><span class="chev">›</span></div><div class="newbtn ic">+</div><div class="i ic">▣</div><div class="i ic on">▤</div><div class="i ic">◫</div><div class="i ic">⌥</div><div class="i ic">◈</div><div class="i ic">▦</div><div class="grow"></div><div class="i ic">◔</div><div class="i ic">◕</div><div class="acct ic">👤</div></div><div class="main"><div class="ttl">Nội dung</div><div class="b grow"></div></div></div></div>
+</div>
+<table><tr><th style="width:24%">Chỗ gập được</th><th style="width:40%">Cách dùng</th>
+<th>Nguồn</th><th>Thiết kế mới</th></tr><tr><td><b>Thanh menu chính</b></td><td>MENU ‹ ở đầu thanh — gập còn dải icon (150px → 54px)</td><td class="mut"><code>app.py:409</code></td><td class="ok">giữ</td></tr><tr><td><b>Pane Project</b></td><td>chevron ‹ trên đầu danh sách project</td><td class="mut"><code>workspace_tab.py:368</code></td><td class="ok">giữ</td></tr><tr><td><b>Pane Lịch sử</b></td><td>chevron trên đầu History, gập thành dải mỏng</td><td class="mut"><code>sidebar.py:167</code> · <code>workspace_tab.py:247</code></td><td class="ok">giữ</td></tr><tr><td><b>Pane Tệp trong chat</b></td><td>chevron › — gập panel Files bên phải khung chat</td><td class="mut"><code>chat_panel.py:709</code></td><td class="ok">giữ</td></tr><tr><td><b>Panel Hỏi đáp GraphRAG</b></td><td>chevron › — gập panel agent bên phải đồ thị</td><td class="mut"><code>structure_graph_view.py:615</code></td><td class="ok">giữ</td></tr><tr><td><b>Panel cấu hình bước Co4E</b></td><td>nút gập panel phải của canvas</td><td class="mut"><code>co4e_tab.py:767</code></td><td class="ok">giữ</td></tr><tr><td><b>Panel Tin nhắn Co4E</b></td><td>gập khung log dưới canvas — <b>mặc định đang gập</b></td><td class="mut"><code>co4e_tab.py:894</code></td><td class="ok">giữ</td></tr><tr><td><b>Terminal trong Thư mục</b></td><td>bấm thanh tiêu đề để mở/gập — <b>mặc định đang gập</b></td><td class="mut"><code>terminal_panel.py:156</code></td><td class="ok">giữ</td></tr><tr><td><b>Panel AI sửa tệp</b></td><td>nút ✨ bật/tắt panel — <b>mặc định đang ẩn</b></td><td class="mut"><code>folder_tab.py:777</code></td><td class="ok">giữ</td></tr><tr><td><b>Đồ thị ⇄ Tin nhắn (GraphRAG)</b></td><td>nút đổi nội dung pane trái</td><td class="mut"><code>structure_graph_view.py:416</code></td><td class="ok">giữ — đổi thành cặp tab</td></tr><tr><td><b>Khối kết quả công cụ trong chat</b></td><td>bấm tiêu đề để mở/gập output dài</td><td class="mut"><code>chat_view.py:253</code></td><td class="ok">giữ</td></tr></table>
+
+<h3>Từng màn hình đi đâu sau khi sửa</h3>
+<p class="mut">Không màn nào bị bỏ. Giám sát (Dashboard + 8 màn Monitoring) ở nhóm
+phụ trợ đáy sidebar, mở ra thấy đủ 8 tab.</p>
+<table><tr><th style="width:17%">Màn hình</th><th style="width:30%">Hiện tại ở đâu</th>
+<th style="width:35%">Sau khi sửa ở đâu</th><th>Chức năng</th></tr><tr class="grp"><td colspan="4">Màn hình làm việc</td></tr><tr><td><b>Workspace ▸ Project</b></td><td class="mut">Menu ▸ Workspace <i>(mở nhánh)</i> ▸ Project</td><td>Sidebar ▸ <b>Project</b> — lên cấp 1, bớt 1 lần mở nhánh</td><td class="ok">giữ nguyên</td></tr><tr><td><b>Workspace ▸ Cowork</b></td><td class="mut">Menu ▸ Workspace ▸ Cowork — <span class='bad'>biến mất nếu chưa chọn project</span></td><td>Sidebar ▸ <b>Cowork</b> — luôn thấy, mờ khi chưa chọn</td><td class="ok">giữ nguyên</td></tr><tr><td><b>Workspace ▸ Co4E</b></td><td class="mut">Menu ▸ Workspace ▸ Co4E</td><td>Sidebar ▸ <b>Co4E</b></td><td class="ok">giữ nguyên</td></tr><tr><td><b>Workspace ▸ Folder <span class='mut'>(“Thư mục”)</span></b></td><td class="mut">Menu ▸ Workspace ▸ Thư mục</td><td>Sidebar ▸ <b>Folder</b></td><td class="ok">giữ nguyên</td></tr><tr><td><b>Workspace ▸ GraphRAG</b></td><td class="mut">Menu ▸ Workspace ▸ GraphRAG — <span class='bad'>biến mất nếu chưa chọn project</span></td><td>Sidebar ▸ <b>GraphRAG</b> — luôn thấy</td><td class="ok">giữ nguyên</td></tr><tr><td><b>Schedule Task — Kanban</b></td><td class="mut">Menu ▸ Schedule Task</td><td>Sidebar ▸ <b>Schedule Task</b> ▸ tab <b>Kanban</b></td><td class="ok">giữ nguyên</td></tr><tr><td><b>Schedule Task — Lịch</b></td><td class="mut">Menu ▸ Schedule Task ▸ <i>combo</i> đổi sang “Lịch”</td><td>Sidebar ▸ Schedule Task ▸ tab <b>Lịch</b> — combo thành tab, dễ thấy hơn</td><td class="ok">giữ nguyên</td></tr><tr class="grp"><td colspan="4">Giám sát &amp; vận hành <span class='mut'>— phần bạn hỏi</span></td></tr><tr><td><b>Dashboard</b></td><td class="mut">Menu ▸ Dashboard <i>(cấp 1)</i></td><td>Sidebar ▸ <b>vùng đáy</b> — vẫn 1 cú nhấp</td><td class="ok">giữ nguyên</td></tr><tr><td><b>Monitoring ▸ Tổng quan</b></td><td class="mut">Menu ▸ Monitoring <i>(mở nhánh)</i> ▸ Tổng quan</td><td>Sidebar ▸ <b>Monitoring</b> ▸ tab <b>Tổng quan</b></td><td class="ok">giữ nguyên</td></tr><tr><td><b>Monitoring ▸ Sự kiện bảo mật</b></td><td class="mut">Menu ▸ Monitoring ▸ Sự kiện bảo mật</td><td>Sidebar ▸ Monitoring ▸ tab <b>Sự kiện bảo mật</b></td><td class="ok">giữ nguyên</td></tr><tr><td><b>Monitoring ▸ Lịch sử gọi MCP</b></td><td class="mut">Menu ▸ Monitoring ▸ Lịch sử gọi MCP</td><td>Sidebar ▸ Monitoring ▸ tab <b>Lịch sử gọi MCP</b></td><td class="ok">giữ nguyên</td></tr><tr><td><b>Monitoring ▸ Nhật ký hành động</b></td><td class="mut">Menu ▸ Monitoring ▸ Nhật ký hành động</td><td>Sidebar ▸ Monitoring ▸ tab <b>Nhật ký hành động</b></td><td class="ok">giữ nguyên</td></tr><tr><td><b>Monitoring ▸ Trạng thái Agent</b></td><td class="mut">Menu ▸ Monitoring ▸ Trạng thái Agent</td><td>Sidebar ▸ Monitoring ▸ tab <b>Trạng thái Agent</b></td><td class="ok">giữ nguyên</td></tr><tr><td><b>Monitoring ▸ Agents Admin</b></td><td class="mut">Menu ▸ Monitoring ▸ Agents Admin</td><td>Sidebar ▸ Monitoring ▸ tab <b>Agents Admin</b></td><td class="ok">giữ nguyên</td></tr><tr><td><b>Monitoring ▸ Công cụ</b></td><td class="mut">Menu ▸ Monitoring ▸ Công cụ ▸ tab con Tool | Connector</td><td>Sidebar ▸ Monitoring ▸ tab <b>Công cụ</b> ▸ Tool | Connector</td><td class="ok">giữ nguyên</td></tr><tr><td><b>Monitoring ▸ Icon</b></td><td class="mut">Menu ▸ Monitoring ▸ Icon</td><td>Sidebar ▸ Monitoring ▸ tab <b>Icon</b></td><td class="ok">giữ nguyên</td></tr><tr class="grp"><td colspan="4">Thành phần bị dời chỗ</td></tr><tr><td><b>History <span class='mut'>(lịch sử chat)</span></b></td><td class="mut">Pane giữa, <span class='bad'>chỉ ở tab Cowork</span>. Đã gom theo project.</td><td>Sidebar ▸ <b>RECENTS</b> — <b>vẫn gom theo project</b> + “Tất cả project…”</td><td class="ok">giữ, dễ tới hơn</td></tr><tr><td><b>Bộ chọn project</b></td><td class="mut">Pane trái, <span class='bad'>chỉ ở tab Project</span></td><td>Thanh chọn đầu trang, dùng chung mọi màn</td><td class="ok">giữ, dễ tới hơn</td></tr><tr><td><b>Provider · Ngôn ngữ · Giao diện</b></td><td class="mut">Thanh trên cùng (topbar)</td><td>Menu tài khoản ở đáy sidebar — gom cùng chỗ với Cài đặt</td><td class="ok">giữ nguyên</td></tr><tr><td><b>Nút Cài đặt</b></td><td class="mut">Thanh trên cùng</td><td>Menu tài khoản ở đáy sidebar</td><td class="ok">giữ nguyên</td></tr><tr class="grp"><td colspan="4">Hộp thoại &amp; lớp phủ</td></tr><tr><td><b>11 hộp thoại</b></td><td class="mut">Mở từ nút trên các màn tương ứng</td><td><b>Không đổi</b> — vẫn mở từ đúng những nút đó</td><td class="ok">giữ nguyên</td></tr><tr><td><b>Robot trợ giúp · Terminal · Composer</b></td><td class="mut">Lớp phủ / panel thu gọn</td><td><b>Không đổi</b></td><td class="ok">giữ nguyên</td></tr></table>
+<div class="note">Dashboard/Monitoring xuống đáy nhưng vẫn là mục cấp 1, vẫn
+<b>một cú nhấp</b>. Sidebar chia theo tần suất: việc hằng ngày ở trên, quản trị ở dưới.</div>
+
+<h3>Toàn bộ nhóm tab / lane / chế độ trong app</h3>
+<p class="mut">Đầy đủ, kể cả nhóm không hiện ra màn hình.</p>
+<table><tr><th style="width:20%">Nhóm</th><th>SL</th><th style="width:36%">Các mục</th>
+<th style="width:22%">Nhìn thấy?</th><th>Nguồn</th></tr><tr><td><b>Thanh menu trái</b></td><td class="mut">4 mục</td><td>Dashboard · Schedule Task · Workspace · Monitoring</td><td>có</td><td class="mut"><code>app.py:154</code></td></tr><tr><td><b>Workspace ▸ mục con</b></td><td class="mut">5 mục</td><td>Project · Cowork · Co4E · Folder · GraphRAG</td><td><b class='bad'>không</b> — <code>hide_tab_bar()</code>, và Cowork/GraphRAG còn tự ẩn khi chưa chọn project</td><td class="mut"><code>workspace_tab.py:43</code></td></tr><tr><td><b>Monitoring ▸ mục con</b></td><td class="mut">8 mục</td><td>Tổng quan · Sự kiện bảo mật · Lịch sử gọi MCP · Nhật ký hành động · Trạng thái Agent · Agents Admin · Công cụ · Icon</td><td><b class='bad'>không</b> — <code>hide_tab_bar()</code></td><td class="mut"><code>monitoring_tab.py:215</code></td></tr><tr><td><b>Công cụ ▸ tab con</b></td><td class="mut">2 tab</td><td>Tool · Connector</td><td><b class='ok'>có</b> — màn <b>duy nhất</b> còn hiện dải tab</td><td class="mut"><code>tools_admin_tab.py:91</code></td></tr><tr><td><b>Schedule ▸ chế độ xem</b></td><td class="mut">2 chế độ</td><td>Kanban · Lịch</td><td>là <b>combo</b>, không phải tab</td><td class="mut"><code>schedule_task_tab.py:171</code></td></tr><tr><td><b>Kanban ▸ lane trạng thái</b></td><td class="mut"><b>7 lane</b></td><td>backlog · scheduled · running · waiting_input · done · failed · paused</td><td><b class='bad'>cắt ở mép phải</b>, phải cuộn ngang</td><td class="mut"><code>tasks.py:24</code></td></tr><tr><td><b>Co4E ▸ sidebar</b></td><td class="mut">3 tab icon</td><td>Workflows · Agents · Skills</td><td>chỉ có icon, tên nằm trong tooltip</td><td class="mut"><code>co4e_tab.py:426</code></td></tr><tr><td><b>Co4E ▸ dải tab flow</b></td><td class="mut">1 + N</td><td>Flow Status (ghim) + mỗi workflow đang mở một tab</td><td>có, kiểu trình duyệt</td><td class="mut"><code>co4e_tab.py:556</code></td></tr><tr><td><b>Folder ▸ trình xem</b></td><td class="mut">5 trang</td><td>trống · mã nguồn · HTML · tài liệu · ảnh (+ bảng tính)</td><td>tự đổi theo đuôi tệp, không có tab</td><td class="mut"><code>folder_tab.py:322</code></td></tr><tr><td><b>GraphRAG ▸ khung trái</b></td><td class="mut">2 trang</td><td>Đồ thị · Tin nhắn</td><td>là <b>nút bấm</b>, không phải tab</td><td class="mut"><code>structure_graph_view.py:217</code></td></tr><tr><td><b>Dialog Tạo task bằng AI</b></td><td class="mut">2 tab</td><td>Sinh bằng AI · Nhập từ Excel</td><td>có</td><td class="mut"><code>schedule_task_tab.py:530</code></td></tr><tr><td><b>Dialog Kết nối ngoài</b></td><td class="mut">2 chế độ</td><td>MCP (stdio) · REST API</td><td>là combo đổi trang</td><td class="mut"><code>ext_connector_dialog.py:23</code></td></tr><tr><td><b>Dialog Đăng nhập <span class='mut'>(màn chết)</span></b></td><td class="mut">3 trang</td><td>Khởi tạo lần đầu · Đăng nhập · Dự phòng offline</td><td><span class='mut'>không tới được</span></td><td class="mut"><code>login_dialog.py:74</code></td></tr><tr><td><b>Dialog Flow Builder <span class='mut'>(màn chết)</span></b></td><td class="mut">3 tab</td><td>Flow · Agents · Skills</td><td><span class='mut'>không tới được</span></td><td class="mut"><code>flow_dialog.py:247</code></td></tr></table>
+<div class="note warn"><b>14 nhóm</b> tab/lane, chỉ <b>4 nhóm</b> hiện ra màn hình.
+Số còn lại bị ẩn, thành combo, thành nút, hoặc không tới được.</div>
+<div class="note bad"><b>Hai chỗ lệch — cần bạn quyết:</b>
+(1) Cowork/GraphRAG: <i>biến mất</i> → <b>hiện nhưng mờ</b>.
+(2) Bỏ ẩn tab strip Monitoring (khôi phục thứ đã có).</div>
+
+<h2>Phần 2 — Luồng người dùng</h2>
+<table><tr><th style="width:20%">Luồng</th><th style="width:40%">Hiện tại</th><th>Sau khi sửa</th></tr><tr><td><b>Khởi động → màn đầu</b></td><td class="mut">python -m cowork_local → MainWindow → <b>Workspace ▸ Project</b><br><span class='mut'>Không có bước đăng nhập (LoginDialog bị bỏ qua)</span></td><td>Giữ nguyên đích đến. Sidebar phẳng nên Project là mục đầu, không còn nằm dưới nhánh Workspace.</td></tr><tr><td><b>Tạo project → chat</b></td><td class="mut">Nav ▸ Workspace <i>(mở nhánh)</i> → Project → “+” → điền form → Lưu → <b>chọn project</b> → nav ▸ Cowork <i>(mục vừa mới xuất hiện)</i> → gõ</td><td>Sidebar ▸ Project → “+” → Lưu → sidebar ▸ Cowork <i>(luôn nhìn thấy)</i> → gõ.<br><b>Bớt 1 bước mở nhánh</b>, và menu không đổi hình giữa chừng.</td></tr><tr><td><b>Co4E: tạo → chạy → xem run</b></td><td class="mut">Nav ▸ Workspace ▸ Co4E → “＋” trên dải tab → kéo agent từ sidebar → chọn node → sửa ở panel phải → Lưu → Chạy → bấm tab <b>Flow Status</b> để xem</td><td>Sidebar ▸ Co4E → “+ Workflow” trong danh sách trái → kéo → sửa phải → Lưu → Chạy.<br>Trạng thái run là <b>một mục trong danh sách trái</b>, không phải tab riêng.</td></tr><tr><td><b>Tạo &amp; chạy scheduled task</b></td><td class="mut">Nav ▸ Schedule → “+ Task” → form 5 group → Lưu → <b>kéo thẻ vào lane Running</b> (chạy ngay, không hỏi)</td><td>Sidebar ▸ Schedule Task → “+ Task” → form 3 tab → Lưu → kéo vào Running <i>(lane có viền cảnh báo)</i>.</td></tr><tr><td><b>Duyệt tệp → AI sửa</b></td><td class="mut">Nav ▸ Workspace ▸ Folder → chọn tệp → bấm ✨ mở panel AI → gõ lệnh → xem plan → xem diff → <b>Apply</b></td><td>Sidebar ▸ Folder → chọn tệp → ✨ mở <b>lớp phủ AI</b> → gõ → plan → diff → Apply.<br>Luồng giữ nguyên; panel không còn chiếm chỗ cố định.</td></tr></table>
+
+<h3>Truy vết chi tiết: “Đoạn chat mới”</h3>
+<table><tr><th style="width:16%">Khía cạnh</th><th style="width:28%">Giao diện cũ</th>
+<th style="width:24%">Giao diện mới</th><th>Có đồng bộ không</th></tr><tr><td><b>Số lối vào</b></td><td class="mut"><b>1</b> — nút “Cuộc trò chuyện mới” trên toolbar Cowork (<code>cowork_tab.py:34</code>)</td><td><b>2</b> — nút sidebar + nút toolbar cũ giữ nguyên</td><td><span class='bad'>Tôi vẽ thêm nút sidebar mà chưa nói gì về nút cũ.</span> Giữ cả hai (bỏ nút cũ là xoá chức năng), cùng gọi một hàm.</td></tr><tr><td><b>Thấy được khi nào</b></td><td class="mut">Chỉ khi đang ở tab Cowork — mà tab này <span class='bad'>tự ẩn khi chưa chọn project</span></td><td>Luôn thấy trên sidebar</td><td>Mới dễ tới hơn. Chưa chọn project thì nút mờ đi.</td></tr><tr><td><b>Chat mới thuộc project nào</b></td><td class="mut">Project đang mở, ngầm định — không hiển thị ở đâu</td><td>Bộ chọn project <b>ngay trên nút</b>, trong sidebar</td><td><span class='ok'>Cùng hành vi</span> — vẫn là project đang mở (<code>ctx.active_project_id</code>), nhưng nay nhìn thấy và đổi được tại chỗ.</td></tr><tr><td><b>Đổi project trước khi tạo</b></td><td class="mut">Phải rời Cowork → về tab Project → chọn dòng trong danh sách → quay lại Cowork → bấm nút. <b>4 bước.</b></td><td>Bấm droplist ngay trên nút → chọn → bấm nút. <b>2 bước</b>, không rời màn.</td><td>Ít bước hơn, không thêm chức năng — vẫn là chọn project rồi tạo chat.</td></tr><tr><td><b>Bấm từ màn khác</b></td><td class="mut">Không xảy ra được — nút chỉ có trên Cowork</td><td>Chuyển sang Cowork rồi tạo chat mới</td><td>Hành vi mới, cần thiết vì nút giờ ở mọi màn.</td></tr><tr><td><b>Việc thực sự làm</b></td><td class="mut"><code>new_session()</code> (<code>chat_panel.py:1653</code>): xoá messages · sinh session_id mới · dọn view, composer, plan, tệp vào/ra · <b>turn đang chạy vẫn chạy nền</b></td><td>Giữ y nguyên</td><td><span class='ok'>Không đổi.</span></td></tr><tr><td><b>Lưu chat cũ</b></td><td class="mut">Tự lưu; History refresh qua <code>history_changed</code></td><td>Giữ y nguyên — RECENTS refresh</td><td><span class='ok'>Không đổi.</span></td></tr></table>
+<div class="note bad"><b>Phát hiện:</b> <code>sidebar.py:68</code> khai báo tín hiệu
+<code>new_chat</code> và <code>workspace_tab.py:241</code> đã nối nó vào
+<code>_on_sidebar_new</code> — nhưng <b>không nơi nào phát tín hiệu này</b>
+(<code>grep new_chat.emit</code> → rỗng). Tức pane Lịch sử vốn được thiết kế để có nút
+“chat mới” nhưng nút đó chưa bao giờ được thêm. Đề xuất đưa nút lên sidebar chính là
+<b>hoàn thiện ý định sẵn có</b> trong code, không phải thêm mới.</div>
+
+<h2>Phần 3 — Từng màn hình</h2>
+<section class="sec" id="dashboard">
+<div class="hd"><b>1. Dashboard</b><span class="tag">ui/dashboard_tab.py:35</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Token đã tiêu và chi phí quy ra tiền, theo kỳ.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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" alt="Dashboard"></div>
+<p class="rg"><b>Header</b>: kỳ · granularity · metric · tiền tệ · <b>6 thẻ</b>: Total · In · Out · Cache · Cost · Ngân sách · <b>Biểu đồ</b>: spline + đường so sánh kỳ trước · <b>Thói quen</b>: top task tốn token</p>
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="r tb"><div class="ttl">Dashboard</div><div class="grow"></div><div class="btn">◀</div><div class="btn">08/03 – 08/09</div><div class="btn">▶</div></div><div class="r tb"><div class="btn">Theo tuần ▾</div><div class="btn">Chi phí ▾</div><div class="btn">USD ▾</div><div class="grow"></div><div class="btn">⟳</div></div><div class="r"><div class="b hero">$0.31<span class="s">Tổng chi phí · 57 lượt</span></div><div class="c grow"><div class="r"><div class="b kpi">395.4K<span class="s">Tổng token</span></div><div class="b kpi">292.8K<span class="s">Input</span></div></div><div class="r"><div class="b kpi">102.7K<span class="s">Output</span></div><div class="b kpi">108.9K<span class="s">Cache</span></div></div></div></div><div class="b chart grow"><svg viewBox="0 0 400 90" preserveAspectRatio="none"><polyline points="0,20 60,55 120,45 180,38 240,18 300,52 400,78" fill="none" stroke="currentColor" stroke-width="2"/></svg></div><div class="r"><div class="b grow">Tốn nhiều nhất: Dựng slide trình bày — 105.4K (26%)</div></div></div></div>
+<details class="ctl"><summary>Kiểm kê control — <b>10</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>Kỳ trước</td><td class="mut">nút</td><td><code>self._chart_prev</code></td><td class="mut">ui\dashboard_tab.py:59</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Kỳ sau</td><td class="mut">nút</td><td><code>self._chart_next</code></td><td class="mut">ui\dashboard_tab.py:67</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._on_gran_changed</code></td><td class="mut">ui\dashboard_tab.py:71</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._refresh_chart</code></td><td class="mut">ui\dashboard_tab.py:75</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tiền tệ hiển thị (tỉ giá USD→VND/JPY cố định, sửa được trong</td><td class="mut">droplist</td><td><code>self._on_currency_changed</code></td><td class="mut">ui\dashboard_tab.py:84</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td></td><td class="mut">nút</td><td><code>self.refresh</code></td><td class="mut">ui\dashboard_tab.py:91</td><td class="mv">→ lên sidebar cùng RECENTS</td></tr><tr><td>AI phân tích</td><td class="mut">nút</td><td><code>self._ai_analyze</code></td><td class="mut">ui\dashboard_tab.py:145</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Áp dụng chiến lược tiết kiệm</td><td class="mut">nút</td><td><code>self._apply_saving_strategy</code></td><td class="mut">ui\dashboard_tab.py:150</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>f'{arrow} {self._title} ({self._count}</td><td class="mut">nút</td><td><code>self._toggle; self._toggle</code></td><td class="mut">ui\widgets.py:254</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">danh sách</td><td><code>self._emit</code></td><td class="mut">ui\widgets.py:261</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li><b>Tám control trên một hàng</b> header.</li><li>Trùng <b>Monitoring ▸ Tổng quan</b>: cùng StatCard + BudgetCard.</li><li>Sáu thẻ số bằng nhau — không thấy đâu là chỉ số chính.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Header tách 2 hàng: thời gian / bộ lọc.</li><li>Nâng <b>Chi phí</b> làm thẻ chính, 4 thẻ còn lại phụ.</li></ul></div>
+</div></div></section><section class="sec" id="schedule-kanban">
+<div class="hd"><b>2. Schedule Task — Kanban</b><span class="tag">ui/schedule_task_tab.py:70</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Kanban các tác vụ hẹn giờ. Bộ lập lịch chạy nền dù màn này đóng.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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ubW1tjY6O3rt3r7q6Om8JeOFkMnndunWvXr0KDQ29fv16cHAw5yyGgv7K+7l4z5rwkmVm8ODBTCYT73th7t27Z2xsrK+vz3cTvpELzyuM8MTmxPcEubm5xcTE7N6929XVVfh0bMKzjvgeuVRWVlZUVKxdu5bzbQYiHUAieyF+caH/f12wWCy+6wg67GPGjNmzZ09MTMy4ceMsLS0F7UJeqqury8rKrK2thR8Qrk9BJpNXrFjx7Nmz77//Pj09ffTo0YLK563riB95rlQkXg9g8OqF96rhjYp44eJVnoKCJHgR8dZsgsokkvxyZ2VlRSKR8NErLlznXUgTw8vDw2Pw4MGJiYmdnZ3Ca36ui5p4444Rcl1jufTy5cvQ0NBz5865uroKORT37t1zdnbGfnZycnr27BkWDMGaX6SOihAK0lDK3RdffJGXl5efn29nZyeoae4SXqny/gnrNWE/i1Gp8q0HuAhKvy5PMcErQrzIccKvUEF5TqQDQCaTTUxM3NzcOEfDexATE5OAgICEhITa2lquPwk5dwRbEPGaJ5x4fUUJs13s/RLHt7fJiXjLizj6FSQSaf78+XwLJNKrIdLPlw3x+od8ixJUgiSZ0CWR+hLS6qvLegBLRUVl4cKFT548OX78eGlpaXNzc0dHR3V19Z07d+Lj411dXe3t7WUcknAZGRliN669UEhIyOHDh0NDQ8+cOYPfDn327FkGg9Hc3PzPP//wvqOns7OTSqX26dMHX2Jpaammpnbx4kUmk4nNCIBfacKL4nXt2rUPHz40NjZmZGTgUw/yFiJkj1z++uuv5ubm3Nzc1tbWv//+u6GhobS0tKqqCitH1PA43bx5U9A3dkGHZdy4cQihgQMH6uvrp6amNjQ0MBgMvl0KvPBBgwZRKJTLly+3tLRg32r69euHrybor7yfi/esCS9ZZvr06VNTU8O1sKWlpaWlRdAckGJHTvB0CzpB165dq6+vf/PmTVFRUf/+/YXsSHjWEd8jFzabHRMT8/bt24iICH9/fyqVikQ5gAT3QvziIkjQYb927RoWSVFRkXRfcSCG6OhoMzOzkJCQI0eOfPHFF9jCuro6KpUq/IBwfQoLCwssOZubm8vKyoRMYsVb1xE/8lypSLwewAipu3ijErVwIjgDEFQOwYuIt2bjWybB5Jc7AwOD6upqQX/lOu+Cmhhew4YN8/T0jIuLY7FYItWfYjTuQq5rCwsLFRWVy5cvs1issrKy7OxsIYciPz9/4MCBWCXm4uJy9+5dkSIXqaMihII0lPJFp9NtbGweP37c2NhYWlo6ZswYsYvCKlXh64hRqfKtB7gISj9pXRHiRY4R+wrtsgPg5OR06NChqKio8vJyQaPbCm7q1KklJSUVFRW8fxJyrETthuGINE8YyfuKSKyckcp+hePb2+REsOXFA8P7FcOHDxd0HIj0ahSHGP1DvuUIKkGSTOiSSH0JafXVZf0Iobu7O4vFunnzJu/k/3V1dRkZGQsXLiwrKxMyKZ2FhYWfn9/QoUPJZPKTJ08SExM/ffrUzVEDomJjYxkMRmBgoIODAz57n4uLi6ura79+/QwMDHjf6FFeXn7+/Pm1a9dWVVWlpqa+f/+eRqO9f/8ez5Dq6mq8UhNeFK8PHz5gPzQ2NmpqapJIJDabzVuIkD1ywee+/fz5M/7fGxaLpaamJkZ4nLpMY94g9fT0EEJ9+/atqKgQPvkfXjiNRjM2Nj5y5Aj+Jz09PbwhF/RX3s/F96wJKVlmmpubeV8PpKGhoaGhIei2Z7EjJ3i6BZ0gvJvY3NyM5Y8gwrOO+B55tba2Xrhw4a+//po/f35oaOiOHTuIH0CCeyF+cREk6LDjSc5kMuV+R0xkZCTvJKaGhobYFIFCDgjXp6DT6ZWVlfjKTU1Ngo4eb11H/MhzpSLxeoArZoJRiVQ4EZwBCCqH4EXEW7PxLZP4JSZfLBZLyH/geM873yaG15w5czIzM+vq6pCI9acYjbuQ65pOp2MnCF9BUMAIoc+fPz958sTBwaGgoMDMzOzp06cjR44kHrlIHRUh+B4uMR7J6dHc3NxKS0sbGxsRQnl5eVOmTMnMzBTvjWBYpSp8HTEqVb71ABdB6SetK0K8yDFiX6FddgDy8/ODg4P19fW9vLxWr16tsLOMCZGenj5r1qyJEyfyPvEg5FiJ2g3DEWmeMJL3FZFYOSOV/XaJt7fJOfsYwZYXw/ebnfDgFeQbihBi9A/5liOoBEkyoUsi9SWk1VeX9QDWiBEjrl69Kqihwu7JGjJkyOPHj/mu4OTktHHjxvT09CNHjjCZzDFjxtjZ2cngzUqAOCaTefTo0R9//PHBgwevX7+2srLy8fFJTU2tqKiwsbHB7+HnlJ2dnZOT4+3tvWrVqqioqNra2r59++JVkqGhIXZtECmKi7a2Ntbo9uvXr6amhs1m8y1E0B5FIkZ4nDo6OrAfWlpaKBSKqqoqVrnjl72gIBsbGw0NDQkWXl9f//r16x07dvBdje9fBX0urrMmvGSZef78uZ6enp2dHeesum5ubuXl5Q0NDaqqqrzHVrzIiZ9uIidIbHyzRdQ9NjY2Jicnx8TEDBgwgO8BHDt2LHYAubbi2gvfYMS+uPiWJuFVJkdWVlb9+/d/+vSpsbEx8QPCZDI5ByAE3X6P+NV1Yh95keoBxFG9EIlK1MKJwAOQSnpw1Wx8y+zWi1qKXr582adPH1tbWyJjgsQTJiUlJTAwsLy8/OXLlyLVn1Js3BFCTCaT88s2fkYEtaH//PPPhAkTyGTyo0ePOjs7Ra35CXZUhOO7U74Nk7Iik8ljx441MDDg/DJpY2PT5TgUL7xSFXTG+SJYqXKdbr7l8E0/qVwRkkSOJLhChfegsF/ZbPanT58uXboUExNDJpMVfxyfS1NTU3x8/MaNG+vq6rhm8+mOfizx5olgsyL1bJdlc8bZ2ywrK+P8E5GWF8Pbr+hyvwryDUUQ8fqHfAmqUsTLBJGSrcsYpEumjxCqqan16dNH+JDnmzdv+vbty/dPFArl22+/PXjw4Pnz59+/f9/U1PTXX39ho1c0Gi0sLOyXX345ceJEYGAghUJBCEVFReEPzcbFxU2fPh37+dSpUzQaje8mCKGMjAwPD4/U1FSu6QxWrly5Y8cOVVV5vrexp2AymZcuXVq8eDGZTKbT6Y2Njdg8iMKnqGAwGNjhxSq1mTNnamlp0el0Hx8fbOJVQUU1NzebmpqSyXySedasWbq6unQ6ff78+Viq8C1E0B5FImp4gpa3t7dXV1dPmTIFe9k2jUYTHmRpaamKisrs2bO1tLQsLCyE341fWlqqp6fn7u6uoaFB8K/CzyB+1oSXLDNMJvPixYtBQUGjRo3S0tLS19f39PT86quvfvnlFyTg2AqKXEheoa4OCyeRTpCoBH0iInu0sLCYNm2anp4ehUKxt7dXU1P79OkT3wM4Y8aMtLS0Lj8X32BEvbjww863NOKHXUFgdaC7u/vq1avT0tIaGhpEOiClpaUGBgaTJk3S0NCwt7cX8sWet64Tu1oTox7AcV01vFGJVLiolacU0wOv2fiW2a0XtRQ1NjZevnx5xYoVbm5uurq6urq67u7uLi4ufFcmnjAMBiMlJWXNmjUmJiZEan78fInauAuH7drDwwO7OpycnLDlgtrQoqIiU1NTV1dX7LVK4tX8XXZUiMTMtVNBASslW1tbTU3Nr7/+Oui/Hj16hD9nTQReqa5aterMmTMNDQ0iHUDilSriON18y+GbflK5IiSMnMgVyjfPhfegBgwY4OXlpaurq6WlNW3atJcvX/a40StMVVXVoUOHli1bxjUFj1T6sWI3TwSbFalnuwyaM769Tb5rCm95MfakPMUAACAASURBVLz9ii6JV9t3N96qTPJvo0K+KoqRCeK1TVL5Tt0lOQzHCHk8ECGkpaUlaMoGe3t7Eol08+ZNruVkMjkyMjI3N3f//v26urohISG+vr6nTp169OiRg4PD9evX9fT09PX1HRwcrly5Ympq2tjYWFtbu2/fPt5NsAKdnJyCg4M532vw1Vdf2dvbb9q0ifd9q4CvmzdvTpgwYcKECXfv3h01atSOHTvevXv38OFD3okA7ezsgoOD1dXVKysrjx8/jhDq6OiIi4vz8/PbtWtXU1NTdnb29evXEUL5+fl8i8rJyVm3bt3PP/+8efNmruwqLCyMiIggkUgPHjz4/fffBRUiaI8iETU8zuVcRZ06dSogIGDatGm3bt3C/0chKMi2tra4uLhFixbt2rWrvr7+5MmTQoJsb29PSEhYtGjR/PnzW1tb8/LyONfn+1e+n4v3rAkvWZZ+//332traqVOnLl26tKWlhc1mV1VV4bUK77EVFLmQvEKCTzcvkU6QGHg/EcE9VldXT548OTo6WkVF5e3bt4mJidiN8ZwHsKOjo7S0dN++ffjrz4V/Lt5gRL24OA87b2nED7siCAkJYbPZ2IwDSUlJL1++RCIekJaWlgMHDvj5+c2dO/fp06d3794VNOELb10ndrVGvB7gxVWt8UYlUuGiVp6Spwdvzca3zO6+qKUoMzOztrZ28uTJ/v7+TU1NBQUFFy5c4LumSAlTUFBw5cqVb7/9dufOnV3W/JznS6TGXbiWlpakpKRFixbNnTv3yZMnt27dwv+rzLcNZbPZjx8/trGxefPmDRKx5ifeURFO0E75BqyUxo0bl52dzTlr3tWrV8PCwgRNUskFr1RLS0uTkpLwd/8RP4BEKlXe0823HL7pR6Qv1OUVIXbkuC6vUEG1q5AeVF1dnZ2dnbe3d1tbW1FREec9dD1OSUlJWlraunXrdu3aVVVVhS2USj9W7OaJeLMi3WzvpuYsJCQE+4HJZIaHh/PtbeIItryYwsLCrVu3kslkvF/RJfH6+d2Kb1Um+bdRQSWInQlitE1S+U7dJZKos6VKKDIy8vDhw5WVlXz/qqKiEhYWdvr06devX/P+dfLkyZ6enhs3buRabmtr++23365cuRK7V83W1jY0NHTZsmUmJiY7duxYunSph4eHkZERVh1PnTrV1NQ0JyeH7yYIoYyMjK1bt+L322dkZBw6dMjX13fDhg3dcQuchLDR0KamJlnuVFtbW/LHoUFv09raKt1EJZiHGhoavr6+Dg4Op0+fzsvLk2IAoCeSVx5KxfLly8vLy7ujKwBkrEfnYc/l7+9fWVkJVxBOZnkYEhJy4cIF3n+E8GVra+vu7p6UlCTFwATpuZWqbCKXTQ8K6kPZ6LnZjktISAgLC+umeQN7Tx4qTiaIPY+5rO+aKykpwe+z5TV16tTq6ury8nK+f2UymXzvXjMyMqqoqMAfgq2qqsKeS6+oqGhrazMxMRkxYsT9+/cZDIaFhYWDg8OjR48EbYLhugUsICDg0qVLCjh6BRSQnp5eeHi4vKMA/6elpeX48eMhISHd0fdSkNNNoVCio6Px56CB8tHQ0BgzZszw4cNzc3NF3XbFihWDBw/ujqgUU3dclQpypQNJ2NjYODo63rt3j2t5SEiI7N9IJZedyld4eHhAQECXqwUHB+P3bogqLCyM+HvDJalU5UuWkXdrDwrITM/N9t5p6dKl9vb23VGy0mSCrB8hbG9v5/vSRDKZ7ObmNnLkyISEBEHPVBcVFdFoNEdHR64p3j9+/GhiYoLPFmZsbIy/GSQvL2/48OHm5uavXr3Kz88fNmzY4MGD9+7da2NjI2gThBBXAHv37v3+++9LS0uLiook+/RA+dXV1W3fvl3eUQAZUZDT3dbWFhkZKe8oQLcIDQ0dMGAAm81++/bt/v378XchEXfo0KHuCExhdcdVqSBXOhDbihUrLC0tk5OTOWeHwMTGxso+HrnsVI6If97Dhw8fPnxYvL0QnKRZ8kpVXnpu5EBeIGd6IkFPLktCyTJBpgNYqqqq1tbWDx48mD17touLy717996+ffv582d9fX1nZ2cdHZ3U1FQhNzrV19efOXNm48aNR48effToEYlEGjNmTGNjI/b/tMWLF//666/a2trLli3LzMzENsnLy/P393/+/DlC6PHjx9988w12Wxb2uhO+m/B69erVvn37tmzZsnHjRmw+OQAAAEAG9uzZI+8QAOjxetswLhCi51aqPTdyIC9KljNr166Vdwg9lZJlgkwfIRw9erS2tvaECRMoFEpubq6amtro0aM9PDwGDx6cl5cXGxuLT8coSHp6+uHDh7/66quUlJR9+/ZZWFjk5eW1t7dHRkZaWVklJydv3749Nzf30qVL2PoFBQX9+/d/+PAhQuj169c0Gg27CVbIJnz9888/aWlp27ZtE/LaWgAAAIAgMpm8devW9evX0+n01atXyzscAAAAAAAAFJ1MJ3G3sLAYOHDgvXv3ZDzVvxKDSdxBT9F7JkcEikxx8rBfv35ubm5lZWV+fn5///03wZfpAOWgOHkIejPIQ6AIIA+BIoA8lD2xJ3GX6SOEr1+/5vt6QQAAAKBXqaysPH/+PEKIa1ZHAAAAAAAAAF+yfgsh6IUSEhJ0dXW7o2RPT0/8pTZDhw6dN2+epqbmhg0bVFW7GJnFQiKRSNHR0ZwvoORdR1qh8pYmfO/dEQMAQKFoaGj8+OOPfn5++BIi1YJIhNQhdDo9PDxcU1NTWvsCCk5IMixevHj8+PEyjgcA6B/yLQ36h90EDhpQZFAfEifrtxAC5WZmZjZjxgxra2sVFZWSkpLTp09302sOfHx8pkyZgv1cXV2dmZlZVFQ0ceLEn3766cKFC+3t7difvLy8mpubb9++zbcQNpstx3e3yXfvSmzixIkeHh56enr//vvvqVOnsBeM9u3bd+nSpQMHDvzw4cPJkyfLysoErYkQGjNmjLe3N51Or6qqioqK4t0F39KMjY39/f3Nzc3fvXuXmpr65s0b3g01NTWHDBni6uqKvZKC809UKnXnzp3nz5/Pzs6WfCtvb+8JEyZQqdTi4uITJ05gL94S9HmBvMyZM+f48eOurq52dnbPnj1DgquFmTNnTp8+Hfu5uLhY8leYkUikRYsWHT16tLm5GVsivLYEPRSR0zp8+PC2tjbJT/3YsWOXLl3KuSQ5ORl7zQ4A0D8kDvqHACg3qA8lBANYQGrs7e2DgoIyMzPPnTvHYrEcHR0HDx6MzaDfJSsrK29v77i4OIL7Sk9PT09P9/T07N+/P/YGSTabHR8fz7WakZHRu3fvRPoUoKczNTWNi4trbGycPn26v79/TEwMiURauXLl48ePDxw4MGbMmNWrV2/atKmtrY13TYSQi4uLl5fX8ePHX79+3dHRwVu+oNKCgoLy8vLi4+PHjRu3YsWKLVu28G7r6empra1dWVmpo6PD9adp06aRSCS+n0iMrTQ1NXfu3NnR0REQEDB9+vSzZ8/yPTIEDifoRthwZJdvL0EIaWtrp6Sk3L17V1q7ZrPZ+/fv51wCtaVSInJaCwoKCgoKJN9XTk5OTk4O9jONRgsJCSHYAQBKD/qHAACAgfpQcjCABaSDQqEsXbo0LS3t/v372BK8I4sQsrS0nDNnjp6e3v3791NTU7W1tXft2oW/DDUkJMTCwiI9PR0hNHbsWC8vLwMDg7KysqNHjzY0NHDtiE6nL1myxMLCoqKi4uXLl/hy3g1DQkJsbW0RQgsWLPjmm2/wGw04JSQkhIWFNTQ0aGlp+fr62tnZkcnk1NRUrB7hClvCQ8RbGr53ExOTJUuWmJubMxiM0tJSLS2tEydOCNoKCHfq1Cnsh1u3bo0ZMwYhZGZmpqOjc/nyZTabff36dQ8PDysrq+LiYt41EUIzZ85MSkqqqKgQVD7f0kpKSszMzGJjY1taWm7cuOHj40OhUNra2ri2xd526unpyTUUZW5ubmVl9eTJE757JLgVnU7fsGFDWFhYe3s7djUhhB4/fmxnZyfoyIDuk5CQcOrUqVmzZlGp1LS0tKampsWLF2toaGRmZv7xxx8IIX19fV9fXxsbm7a2ttzc3F9//RVLGLxa4CxNW1ubtzLk2t3Bgwfnzp1Lp9NLSkqOHz+O3XaHCFS/WVlZEydO7LK2BD0OVyOI+DUofNvchISEY8eOzZkzp0+fPjk5OdgIuJB2itesWbOuXbvGWweCXgj6h12C/qHMSFIHAiA5qA+lAubAAtJhZWVFIpHwq5GLm5tbTEzM7t27XV1dra2teVdITk7Gblw0NTU9cuRIaGgoQsjT05NrNTKZvG7dupcvX27YsOHcuXOjR4/G/8S7YWxs7J07d86ePRsUFNTl97G1a9e2trZGR0fv3btXXV2dYNgiEVQamUxesWLFs2fPvv/++/T0dM4PJfUYehVLS0sGg4EQMjMzKy8vZ7PZ2HIGg8H19lV8TUNDQwqFMmHChPj4+J07d44dO5a3WL6lsdnsvLy8SZMmqaurT5w48dmzZ8S/uampqQUEBJw+fbqzs5P4pxO0FX5DFplMNjExcXNz42wauT4v6Fb29vbbtm1LTU318/ObPHnyjh07EhISZs6ciU0osG7dusrKyvDw8D179lhaWnp7ewspSltb++uvv963b9+aNWvodDrfdSZOnJiYmBgWFkYikebPn48vJ1KHiFRbgp6C97TyJoOgNnfMmDF79uyJiYkZN26cpaWl8HaKi7GxsZWVFTw8CDDQP+wS9A9lRuw6UG4RA+UC9aFUwAAWkA4DA4Pq6mpBf7127Vp9ff2bN2+Kior69+8vpJyzZ88yGIzm5uZ//vmHa5QBIWRhYaGionL58mUWi1VWVsY574/wDYUbOHCgvr5+ampqQ0MDg8HAv/ATDxtHp9N/+uknvrPiCSrNwsKCQqFcvny5ubm5rKzszp07RLYCwllZWc2YMePcuXMIISqVylkjs1gszhPEuSadTtfX129oaAgNDT1x4oSvr6+JiYm2tvaR/xo7dqyg0i5fvjx16tSEhIR58+ZdvHgRIcS1oaBQ/fz87t27J+q9u7xbffz4ccOGDdjAmZOT06FDh6KiosrLy58/fy7oyIBu9ddffzU3N+fm5ra2tv79998NDQ2lpaVVVVXGxsaWlpZqamoXL15kMpnV1dVdjgjExcWtWLEiOjqaxWKtWrWK7zrXrl378OFDY2NjRkbG8OHDOZdDHQIwvMkgqOm8du0a1iAWFRWZmZkJb6e4TJ48+caNGyKNyAMlBv1DDPQPFYHYdaD8QgZKBepDqYBHCIF0sFgsfX19QX+tqanBfmhublZTUxNSjouLi6ura79+/QwMDIqLi7n+SqfTOWeeZjKZenp6RDYUrm/fvhUVFby9beJhcyKRSHynJRJUGp1Or6ysxO/oaWpq6tOnj4Qx9HIeHh4uLi579+79+PEjQqi5uRn/LwFCiEqlNjY28l2zo6Ojqanp6tWrCKGSkpLCwkIbG5usrKygoCB8czc3N97S9PT0QkJCDh8+XFJSYmlpuWbNmp9++unjx4+cG/I1ZcoUNTW169evi/QBu9wqPz8/ODhYX1/fy8tr9erV+NPyXJ8XdCt8Ss7Pnz/X1tZiP7NYLDU1NS0trffv3+NXfXV1NedVzwubaLO2tvbkyZPYC194bxf/8OED9kNjY6OmpiaJRMLKhzoE4HiTQVDT+enTJ+wHJpOprq4uvJ3ipKGhMWLEiPDw8G78GKBHgf4hDvqHcid2HSj7UIFSgvpQKmAAC0jHy5cv+/TpY2trS+RiaGlpoVAoqqqq2Lcy/KKysrLy8fFJTU2tqKiwsbFxdnbm2pDJZHK+xdPQ0JDghsI1NjbiRUkIuwtGpE2YTCZnXSbo+SBA0KxZs3R0dPbs2YPXsNXV1Zz/PTM1NcWGqHjX/PDhg5qaGplMxpaw2ezW1lau8vmWZmdnV1VVhU1HVVxczGAwhg0blpWV1WW0U6dO1dXVdXFxwX51c3MzMTHpcrYFIlux2exPnz5dunQpJiYG+0S8nxfIS21tbd++ffExJkNDQ7z5F05VVZVEIvGmJeKYJ6tfv341NTX4dx4ugqpf0AsRbzqJt1OOjo5lZWX4FGwAQP8QA/1DBSRhegAgKqgPpQIeIQTS0djYePny5RUrVri5uenq6urq6rq7u+NfsLm0t7dXV1dPmTJFQ0PD3d2dRqNhy+l0emNjIzY7j6urK++GpaWlenp6Hh4eGhoa9vb2Tk5Owjdsbm42NTUlk7vI89LSUhUVldmzZ2tpaVlYWMh4fuvS0lIDA4NJkyZhHwqaT0nQ6XRXV9fU1FTOMZqysjI2mz158mRNTU1PT08Wi8VgMPiuWVtb+/r1ax8fHyqVamtra2Nj8/TpU65d8C2NwWCYm5vb29tTKJQhQ4ZYWVmVl5cTCXj9+vVB/3X37t2TJ08SmSuU71b44wkDBgzw8vLS1dXV0tKaNm3ay5cvOzs7+X5eIC9lZWUIoZkzZ2ppadHpdB8fn1u3bglZ38/PT19fX1dX18/Pr7CwsKWlhXedWbNm6erq0un0+fPnC3nCS1D1S7C2BD2L8NPaZZuLI95OOTk5FRYWShg2UCbQPxQb9A+7G/E6EACpgPpQKuAOLCA1mZmZtbW1kydP9vf3b2pqKigouHDhgqCVT506FRAQMG3atFu3bmHf5RBC+fn5o0aN2rFjx7t37x4+fMg7D1xLS0tSUtKiRYvmzp375MmTW7duYf+PErRhTk7OunXrfv75582bN/P9yodpa2uLi4tbtGjRrl276uvrT548KemxEEVLS8uBAwf8/Pzmzp379OnTu3fvUqlUWQagTExMTOh0+qFDh/AliYmJ+fn5CQkJQUFBc+bM+ffff48cOSJkzaNHjwYGBsbGxlZUVBw6dIj3QS02m81b2tu3b0+cODF//nzsVppffvnl1atXMvnE/w/2eEJdXZ2dnZ23t3dbW1tRUZHwzyv7IAFCqKOjIy4uzs/Pb9euXU1NTdnZ2cIfI+3Tp88PP/zQ2tr69OnT5ORkvusUFhZu3bqVTCY/ePDg999/F1Ia3+qXYG0JehbO08r71y7bXBzxdmrQoEHYu7oBwEH/UDzQP+xuxOtAAKQF6kPJkUSdvgsoFGwstqmpSZY71dbWhoftu8/y5cvLy8tFnRRJ8bW2tko3USEPgRiUNQ/xNxzLOxBASE/PQ2Vtp3qbnp6HvY2yXneQh0ARQB7KHj7TnKjgYQGgPPT09ESaOJZEIkVERGhra3dfSCLR0NAYM2bM8OHDc3Nz5R0LAAAAwA3aKdATQf8QCCFqegDQo/X0+hDBHVg9HdyBpRxCQ0MHDBjAZrPfvn17/vz50tJSeUckffCfDaAIlDUP4Q6snqUn5mFvaKd6m56Yh71Nb7juIA+BIoA8lD2x78CCAayeDQawQE8BDQNQBJCHQBFAHgJFAHkIFAHkIVAEkIeyB48QAgAAAAAAAAAAAADlBANYAAAAAAAAAAAAAEChyWEAy8LCwsLCgmuhlpbW+PHjx48fr6WlJfuQgNSRyeTNmzebm5vLZncUCiUqKgqehwVcIA8BAAAAxQHtMgAAYKA+FI8cBrDs7Ozs7Ow4l2hpaa1Zs8ba2tra2nrNmjUwhqUEOjs7k5OTZ8+ePXLkyISEBN4hS6mgUCgRERHLly/38PC4efNmVVUViUSKjo42MDAgXkhCQoKurm53hCeb8oEQPSgPkYBUUVVVDQ0NHTRokHibd0lDQ2PTpk2LFi0SdUMAFAFv2hO5+qBa7r4j4OnpGRAQgP08dOjQefPmaWpqbtiwQVVVlUhIwk8fnDglAO1yl6BdBkqM75WogF/fZAPqQ/F00Z+QjREjRnz69Ono0aMIocDAwBEjRty+fVveQQGRRUREpKenFxcXY7++f/8+JSVl2bJlUVFRCxcuTEpKam9vl+4eZ86cmZGRYWtrW11dnZeXhxBis9mRkZHS3QvoWRQ/D0NCQmxtbTmXZGVlnTlzhu/K7e3tBw8eDAoKSkxMbGlpkW7kCKE5c+acPHly9OjRQ4cOLSwslHr5vdbEiRM9PDz09PT+/fffU6dOvX//HiHUt2/fpUuXDhw48MOHDydPniwrKxO0JkJozJgx3t7edDq9qqoqKiqKdxd8SzM2Nvb39zc3N3/37l1qauqbN294N9TU1BwyZIirq2t9fT2eeHwXdrkVhkql7ty58/z589nZ2ZzLvb29J0yYQKVSi4uLT5w4wWQyhXxeaYFWgIuZmdmMGTOsra1VVFRKSkpOnz5dX1/fHTvy8fGZMmUK9nN1dXVmZmZRUdHEiRN/+umnCxcu4BWvl5dXc3OzoG4enD6lBO2ySKBd7iY9rl3mW1qXW2EUql3mxHkl4s1Br6r5oT6UnEIMYAFl1dDQsG/fPoRQfHx8d5SfkZGBEHr27Fl3FM7JysrK29s7Li6uu3cEuoOi5WFsbCxCiE6nR0VFrV27tsv1GxsbsU26A9YgXbhwoZvK77VMTU3j4uIaGxunT5/u7+8fExNDIpFWrlz5+PHjAwcOjBkzZvXq1Zs2bWpra+NdEyHk4uLi5eV1/Pjx169fd3R08JYvqLSgoKC8vLz4+Phx48atWLFiy5YtvNt6enpqa2tXVlbq6OgIX9jlVphp06aRSP/D3p3HNXGt/wM/CQQCAWQJLmyCRKnghlIpaOsCWq/YqijWQtVeFb0XtK1YqFtdbltFoVgUd8WiYougXovV2loVEdGKgChgK6hEBcQFSQjQsOT3x/zuvPLNRgghBPm8/wrDOc+cE57MGU5mzjDkq5iamm7atKm5uXnevHlTpkxJSUlR+M6o/aZCm3l4eISGhp49e/bYsWP19fXDhg3r379/Tk6OOnXbOvClpqampqb6+/vb29ufPXuWECKRSOSPur169Xry5EmbegGvH4zLKmBc7iBda1xWFk11LVqXGJcxHFBwPGwrvZjAunnz5ltvvRUeHk4I4XA4N2/eVFHYxcUlJCRk0KBBTCazoKBg586drT6CkcPhHDhw4ODBg+fOnSOEbNu2jb7O7f79+5988omW+gGyRo0aNWnSJGtr69LS0v379wsEAkJIQkLCgQMHAgMDe/TokZWVRR06pXE4nNmzZ7u7uzOZzOTk5Lt370ZHR9Ofn4iIiIsXL+bl5VlZWc2ePdvNza2xsfHGjRsnT56kDusJCQmrVq0yMjKKiopatWqVzDS2THDqPN7V1TUwMNDS0vLatWvJyclmZmYye3RxcUlNTVXWo7bGVxhn2bJlubm5GRkZhBA2mx0TE7NixQrqixFoJz3MQ2XUSRUVjZevrqJHOTk5KhovH9/Ozm7u3LlOTk58Pr+kpITD4SQlJWn6N3n9HT58mHqRkZHh4+NDCHF0dDQ3N09PT5dIJOfPn/fz8+PxeMXFxfIlCSFTp07dtWtXeXm5svgKo929e9fR0TEuLq6hoeHChQtBQUEsFkvmfJcQ8tNPPxFC/P39pU95FW5stRYhxMnJicfjFRQUUD9yuVw656nDJiEkPz+fXjpAYX/bQz7tqU+fQCBQkbSqPyyvBxaL9fHHH//444/Xrl2jtmRlZdG/1eLAx+Vy586d6+LiUl5efu/ePXq7fEX6e90PPvjg008/raurk282/edTczyFrgjjssIeYVzuUF1rXFbWNtW1KJ07LstndUJCwtGjR2fOnJmenn7x4kXqk7hw4ULp4WDLli3KjvytjkFdHY6HbaUXTyEUiUQ7duxgMpn19fU7duxQ8U+7p6fnpk2biouLP/300/nz51+/fl1mOS2FgoKCZCah16xZM2XKlClTpmD2qkM5ODjs27cvMjKSEOLv709v9/HxiYmJiY2NHT16tKurq0ytJUuWiMXiDRs2bN261djYWGFkBoOxdOnSioqK1atXx8TEuLq6BgQEKCymTnBfX9/Y2NgtW7Z4e3sPGDBAPk5iYiJ1v4OyHrU1vnyc7Ozs4cOHU+U9PT2Lioowe6UtepiHyqiTKioarzqTZXqkuvEy8ZlM5uLFi4uKij7//PPU1NS33npLzR6Bq6srn88nhDg6OpaVlUkkEmo7n8+XWUeTLmlra8tiscaMGbN9+/ZNmzaNGjVKPqzCaBKJJDc3d/z48cbGxuPGjSsqKpI/S9YuIyOjefPmHTlypKWlRXo7nfNMJtPOzs7X11d66oRC97edlKW96qRt9bD/GuDxeAwGg569kqGtgY/JZC5duvTevXtRUVHHjh2Tfp/lK8bFxV25ciUlJSU0NFTh7JU0zcZr6BIwLivsEcZl3egS43KrbVOm08dlhZ/TgQMHrl69+uLFi3QxZcOBfPVW//nq6nA8bCu9uAKLECISiVgsVm5urop/2lks1meffbZ79+5Lly5RW3777TfqhY2NzeLFiwcPHiwWizMzM5OSkuijQ79+/Tw8PP74448O7gEoQE+4Xr9+fejQofT2M2fOCAQCgUBQWFjo6OgofVO3s7OzlZVVTExMS0uLQCDg8/lmZmbykV1dXY2MjE6dOiWRSEQiUWpq6sKFC//73//SBZ4/fx4VFSVTSz443Z6ampqamprCwkJ7e3sV364o61Gb4v/111/ycfLy8j788EMOhyMSiby8vLAMnBbpWx6qoE6qqGi8fHUVPeLxeCoaLxOfEMJisahvAktLS69cudKjRw/1+9Vt8Xi89957LyEhgRBiYmIifYpWX18vvay1dEkul2tlZSUQCCIjI52dncPDwx88eCAQCLZu3UoV/v7775VFS09PX7ly5fvvv9/U1LR582ZCiJmZmXRF+RPW9ggJCcnOzpa+BUA65z09PcPCwiQSyYULF/78809l74w6uFxuZGTk6tWr5b8kVJb2Li4uKpJWxYfltWFtbV1VVaXst9oa+FxcXAwMDNLT0wkhpaWlmZmZlpaW6lRUTf3xtE1hQU9gXFbYI4zLOtBVxmXVbVOh50bCUgAAIABJREFUc8dlZYfuS5cu1dfXtxpTYfX2DCVdQrc9Hqq/Xxn6MoHl5OTE4XBkPkgyPDw8GAwGPXtFYzKZ69atu3HjxrZt2ywsLCIiImbPnk1dDGlsbPzZZ5/FxcVNnz694xoPynh5eXl7e/fp08fa2lr6qlf6rk+RSCQzZ9yzZ8/y8nKZLw3k2djYPH36lP5eoqqqSp1hW1nwFy9eUC/q6uqMjIw06FFb48vH+fvvvwsKCoYMGXLr1i1HR8fbt2+32h1Qk77loQrqpIqKxqvIZPkeqW68THwul1tRUUEXrq2txYlyq/z8/Ly8vLZu3fr8+XNCSF1dnXSamZiYCIVChSWbm5tra2t//vlnQsjdu3fv3Lnj5uZ28eLF0NBQurqvr698NEtLy4iIiL179969e9fV1TU8PHzz5s3Pnz+XrqhFEydONDIyOn/+vLICeXl5ixYtsrKymjRpUlhYGL2akkx/1cRgMBR+Sags7VUnrfqH/a6rvr7eyspK2W+1NfBxuVzpFX9FIhE9gaW6omrtH69Bn2FcVtgjjMsdrQuNyyrapkKnj8vKPqetLvijonp7hpIuAcfDttL1BBaHw3FwcKBe0BdbGRkZzZw58/Tp06qnZm1tbSsqKuS3u7m5GRsbHzlyRCKR1NbWHjhwIDIykprACgsL+/333x8+fChT5euvv6ZenDx58sCBA+3uFijA4/GCgoKSk5PLy8vd3Nzo++NUEwqFtra20lsaGhpYLJahoSE1wU+dGVdXV/fs2ZPBYFCfSVtbW/oj0abgCincozo9UjO+sjjXr18fM2YMk8m8efNmq4ckUJMe5mFHN14h+R61qfEikUj6P2Eul6txS7qJadOmmZubU1+OUVuqqqqo78wpDg4O1KmwfMlnz54ZGRkxmUxqi0QiEYvFMvEVRnN3d6+srKSWvSguLubz+YMHD5a+Yl+73n33XQsLCy8vL+pHX19fOzs7mWUaJBLJy5cvf/rpp9jYWKpH8v1VR1u/JCRIWkLu3bvXo0ePgQMHqnPGr/HAJxKJpB/FTR9n2nn4UnM8ha4I4zIF47KOda1xWVnbVOv0cVnZoVvhsvfy5Ktr8ROnn3A81IBO18DicDjh4eEsFovFYoWHh3M4HEKIk5PTkiVL+Hx+fn6+6uoikcjGxkZ+e69evcrLy+nJxcrKSupcavr06cbGxqdOnZKvQq+BhdmrjsPlcoVCIXXxp7e3t5q1SkpKDAwMpk+fzuFwXFxcfHx8mpqaqqqqJk6cyGazx44dS+UAdSHi1KlTORwOl8sNCgqilj+X3vvmzZtlrraVD66wDQr3qE6P1IyvLE5hYaGDg4O3t/fVq1fVfLugVXqYhx3deDV71GrjZapbW1uPHz+ezWZ7eHi8ficQ2sXlcr29vZOTk6XPBUtLSyUSyYQJE0xNTf39/evr6/l8vsKS1dXVDx48CAoKMjExGThwoJubm/wlmQqj8fl8JycnDw8PFov1xhtv8Hi8srKyjuvm8uXLQ//n6tWrhw4dSklJoXO+b9++kyZNsrCw4HA4kydPvnfvXktLi8L+dhAkrVAoTE9PX7x4sa+vr4WFhYWFxdixY+l/bGS0Z+CztLT08/Oj3mdPT0/VFevq6hwcHJjMVs4/1RxPoSvCuKysRxiXO06XG5cVRmu1VqePy206dMsPB/LVtfiJ0084HmpAp1dgjRgx4uXLl/v37yeEhIeHz58/n8VicTic06dP5+fn0zNQyhQWFtrY2AwbNkxmquv58+d2dnb05GLv3r2pq9kDAwOtrKxOnz5NFfPz83Nyctq3b1+H9A0IIYRERERQL0Qi0RdffDFy5MiNGzc+efIkJydHzaXaGhsb4+Pjg4ODo6Oja2pqDh06RAg5fPjwvHnzJk+enJGRQX0Um5ub4+PjQ0JCoqOja2trMzMz5S+Xlb+uVWFwheT3SAjJy8tT3SM14yuLI5FI8vPz3dzcHj16pM57BcroeR6qr9WUU598j9RpPK2hoWHHjh0hISEzZsy4ffv21atXTUxMNG7Ma8/Ozo7L5e7Zs4fesnPnzry8vISEhNDQ0MDAwIcPH1KDkbKS+/fvX7hwYVxcXHl5+Z49e+SfuSORSOSjPX78OCkpadasWdSXbD/88MP9+/d10uP/g8r5V69eubu7BwQENDY2FhYWqu5vRzQDSUsIOXv2bHV19YQJE+bMmVNbW3vr1q0TJ04oK6zZwNfQ0LBr167g4OAZM2YUFBRkZGRQV4Ioq5iVlbV06dJvv/125cqVDQ0Nyhqj/ngNXQLGZXV6hHG543S5cVlhNI3pbFxu06FbejhQVr2srExbnzj9geNhOzHUfKKBVrzzzjsDBgygJ7Dq6+tzc3P//PNPdRZ1owQFBQUGBu7fv//mzZsMBsPHx0coFGZnZ+/YsePKlSsnT540MzNbvnx5VlaW9PpkhJBly5YVFRWdO3eOELJt27bExMRWL/jqEqjp1draWl3u1MzMDAtPdJA5c+ZUVFSoOF/pusRisXYTFXnYiRYsWFBWVtYVExV52G3pVdIiD0EfIA9fJ3p1iGsT5CHoA+Sh7qm5Mpo8nd5CePPmTWtr64ULFy5cuJDD4aSkpOTn56s/e0UISU1N3bt37/vvv3/w4MHvvvvOxcUlNze3qalp3bp1PB4vMTHxm2++uXHjxk8//aQ6ztdff336fwwMDNrXLQBNWFparl69WnqLm5vbsGHDsrOzO6tJAK1is9k+Pj5Dhw69ceNGZ7cFQC1I2k4kP9KpxmAw1q5dq/BpSgCgEA5xANCt6PQKLEIIh8MZMWIEIeTmzZv0Iu6gMVyB9dpYvHixq6trUlJSYWFhZ7elQ+Cbja4uMjKyb9++Eonk8ePHx48fLykp6ewWaQJ52K3obdIiD0EfIA+7Or09xLUJ8hD0AfJQ9zS+AkvXE1igXZjAgq4CAwPoA+Qh6APkIegD5CHoA+Qh6APkoe51jVsIAQAAAAAAAKBVTCbzyy+/XL58OZfLDQsL6+zmAHQ+TGABAAAAAAAA6JdevXoVFRX9/vvvX3zxRac8WRhA32ACCwAAoAMxmcyVK1c6OTnpZncsFmv9+vVYHwBkIA8BAChd6HhYUVFx/Pjx/Pz8yMjIX375RettA+hyDPColy7N1NSUECIWi3W5UyMjIzy6EdqqublZu4mKPAQNdEoeSiSSe/fuBQUFtbS0rFq1qri4+NWrV1psA4XFYq1Zs4bH43G53JKSkjt37jAYjA0bNhQUFLTpab8JCQlXrlz5+++/pTcaGhouX768srKyurpag+qtYrPZn3/+uZOT0+3bt9tUsYtCHqqmWRapr6PjdxUYl0Ef4HjYKjabvX79+j59+tBDpGZxQAUcD3VP4+zFFVgAAABatnbt2oEDB9I/Pn369ODBg6NGjVq/fv2UKVMMDQ21vsepU6empaW9evWqqqrq0qVLhBCJRLJu3Tpla2RGRETs+7+Cg4OVBW9qatq9e/e0adPYbLbWW04ICQwMPHToUENDw6BBgzoifrel/3kIAKAbXeJ4KNNISmBg4Pfff08IcXd3p7bguArdmfY/qwAAACBDIBB89913hJDt27d3RPy0tDRCSFFRkZrl4+LiCCFcLnf9+vVLlixptbxQKKSqdISjR48SQk6cONFB8YGmb3moMR6PFxAQEB8f39E7AoDXVVc5HlJDZElJiRbaBND1YQILAACgw40aNWrSpEnW1talpaX79+8XCASEkISEhAMHDgQGBvbo0SMrKyslJUWmFofDmT17tru7O5PJTE5Ovnv3bnR0ND3fFBERcfHixby8PCsrq9mzZ7u5uTU2Nt64cePkyZONjY1U/FWrVhkZGUVFRa1ataqpqUmdprq6ugYGBlpaWl67di05ObmtjZevrqJHOTk5KhovH9/Ozm7u3LlOTk58Pr+kpITD4SQlJWn6N+mO9DAP5VOCyGWRmZmZzB5dXFxSU1OV9ait8RXGWbZsWW5ubkZGBiGEzWbHxMSsWLFCJBJp+U8CAJ1ED4+H8lTHkT/iAbz2cAshAABAh3NwcNi3b19kZCQhxN/fn97u4+MTExMTGxs7evRoV1dXmVpLliwRi8UbNmzYunWrsbGxwsgMBmPp0qUVFRWrV6+OiYlxdXUNCAhQWEzNpvr6+sbGxm7ZssXb23vAgAFtbbx8dRU9Ut14mfhMJnPx4sVFRUWff/55amrqW2+9pWaPgKaHeagwuOosIoQkJiZevnxZRY/aGl8+TnZ29vDhw6nynp6eRUVFmL0CeJ3o4fFQszgA3QomsAAAADpcSkoKn8+vq6u7fv269KOIzpw5IxAI+Hx+YWGho6OjdBVnZ2crK6vk5GSqQFZWlsLIrq6uRkZGp06dEolEVVVV8jM7z58/j4qKor6zVceZM2dqamoePXpUWFhob2/f1sbLV1fRI9WNl4nv4uLCYrHS09Pr6upKS0uvXLmiZo+Apm95qCy4iixSs0dtjS8fJy8vz9nZmcPhEEK8vLyuXr2qohkA0OXo2/FQgzgA3RBuIQQAgM63ZMmSy5cvFxQUdHZDOoqXl5e3t3efPn2sra2Li4vp7fQirCKRSOa73J49e5aXl7e0tKiObGNj8/TpU4lEQv1YVVXVo0eP9jT1xYsX1Iu6ujojI6O2Nl6+uooeqW68THwul1tRUUEXrq2tbWdPuyF9y0NlwVVkkZo9amt8+Th///13QUHBkCFDbt265ejo2E0ekQndx2s/7LZK346HHRcH4HWCCSx4TXh5eb355pu7du3q7IaAXjM2Nt66dWtycrKyL82gsyQlJf3rX/8qLCxsbm7u7LZoH4/HCwoKSk5OLi8vd3Nzo+9LUk0oFNra2kpvaWhoYLFYhoaG1KoZlpaWhJDq6uqePXsyGAzqHNfW1pb+57wTG6+QfI/a1HiRSGRlZUX/yOVyNW5J96SHeSgfXCGFe1SnR2rGVxbn+vXrY8aMYTKZN2/ebPVfVuie/vOf/9y+fZtaka1reb2H3Vbp4fFQXkeP7wBdEW4hhK7N09MzISFhwIAB/v7+hw4dUrOWv7//vHnz2rqvhIQECwuLttYihHz00UfvvPNOeyLLF1BRpSN2RwgxNDSMjIzs16+fior67++//46Pj5c+TWEwGBs2bLC2tpYpqfpdavVNVl87Q2mWzMq0Kck1+0QorGVubj5v3rxdu3YFBwfLXK7/euByuUKhkM/nE0K8vb3VrFVSUmJgYDB9+nQOh+Pi4uLj49PU1FRVVTVx4kQ2mz127FgbGxtCSGlpKSFk6tSpHA6Hy+UGBQVRy05L733z5s0aPyNcs8ar2aNWGy9T3draevz48Ww228PDoz1Tad2THuahfHCFbVC4R3V6pGZ8ZXEKCwsdHBy8vb1x/6D+0PhkrIPExsZ6enqqU1J6vOZwOJs2bZo/f76Njc38+fMVlqd6KnOW8sYbb0RHRw8aNEj9FnbPYbdVeng8lNemIRKgm8AVWKA1ERERAwcOvHLlCv1MqA8//NDLyysyMpL+3nLt2rWpqalvv/32m2++mZubK3PB1KBBgxYuXLhmzZra2lpCCJfLXbNmzaZNm54+fapwj+bm5qNGjVq/fv1HH30UFxcnFosJIZMmTaqrq6PWdtUHQ4cObWxs1Fl7Om53TU1Nu3fvDg0N3blzZ0NDg9bja5G9vf2UKVPeeOMNY2Pj6urqzMzMX375hf7tzJkzs7Oz6R8lEsm6devaFF+Lb7KO06P9OujzJRQKy8rKNm3alJub++jRI+0G7ywRERHUC5FI9MUXX4wcOXLjxo1PnjzJyclRuCi1vMbGxvj4+ODg4Ojo6JqaGmqO/vDhw/PmzZs8eXJGRgZ1atvc3BwfHx8SEhIdHV1bW5uZmXn+/HmZUAwGQ/1F3GXk5eVp0Hg1e6RO42kNDQ07duwICQmZMWPG7du3r169amJionFjugk9z0OFwRWS3yNRIznVjK8sjkQiyc/Pd3Nze22OS53C2dk5MDDQxcVFLBZfvHjx9OnTnd0ibZo+ffqff/7Z1lpubm4//fSTiYnJl19+mZiYqKKk9FkKNUWyfv36RYsWPXjwoD1PFXgth91W6fnxUL6Rn332mfpDJEA3wZBf8BK6EGqan5ru0RkzMzOFC1JEREScOHHi4cOH1I8sFis6OrqysvL8+fN5eXnURmoCq7i4eODAgWPHjpW/4y80NLShoeHw4cOEkKVLl96/f//nn39uU/PmzZv35MkT1cd3f39/e3v7tj58veMeWNtqZPkC7WmMBrtrP7FYrN1EVZaHAwcOXLx48S+//JKTkyMSiZydnd98802F/7TweLyAgID4+HiF8bvK84k1S2ZlWu219OdLs7eoc99YneUh6MCCBQvKysq64tk88rALmTNnTkVFRVdMs1bpJg9NTU2jo6OPHDmSl5dnbW3t5+d39OjR9uxF2SCiekxvk3HjxllaWp48eVK7tVSM1wobr63hUs/PZ3A8BH2APNQ9erG5tsIVWNBRhg0bxufz8/LyRo8eTU9gtSolJWXDhg0ZGRlcLtfa2nrnzp2EEDMzs+jo6CVLllBlIiIiLl68mJeXN2rUqEmTJllbW5eWlu7fv18gEFBXgRFCPvjgg08//bSuro6OzOVy586d269fvydPnpSUlNDb5YMQQhISEg4cOBAYGNijR4+srKyUlBSqsKura2BgoKWl5bVr15KTk2Ua/49//MPPz8/Y2PjKlStUFYXBORzO7Nmz3d3dmUxmcnJyTk5Oq5FpwcHBffr0oU5x5KtocXdqBlf4RtnZ2c2dO9fJyYnP55eUlHA4HG1Nr7SKxWL985///OGHH65fv05tKS4uphbmlM8iFxcXatEKZed2Tk5OM2bM4HK5xcXFSUlJ1FedCt8HKyur2bNnu7m5NTY23rhx4+TJk/JPlpH/Q2gcSlkyK6urrSSX+XzJF1b2UZVpfxfNLtAfbDbb09Nz6NChaWlpnd0WeH1YWlqGh4d/88039BY3N7dhw4adOHGiE1vV1VlaWjKZzJycnJaWlqdPn9KzVxqPgBRlY7o6w5D8cEzvl3ropEAg2Lt3r8we5c/x1KmlcLxWcUKiEH2WYmVlNXfuXB6P9/Tp00OHDvH5fAy7ANDdYA0s6Chvv/12bm5uXl6eu7u79LK7qgkEghMnTsyePTsoKCgpKUn1upIODg779u2LjIwkhPj7+xNC4uLiqBOL0NBQ6dkrJpO5dOnSe/fuRUZGHjt2TPped/kgFB8fn5iYmNjY2NGjR7u6ulIbfX19Y2Njt2zZ4u3tLXOxsYuLyzvvvPPVV18tXbqUngtQGHzJkiVisXjDhg1bt26lH26iIjLNz8+vf//+O3fupNaJlK+ixd2pGVz+jWIymYsXLy4qKvr88891/7jf/v37MxgMevZKtcTERNW3wo0bN27nzp2rVq1iMplBQUHURvn3gcFgLF26tKKiYvXq1TExMa6urgEBAfLR5P8QmoVSlswq6moryeU/X+rkrbwuml2gDyIjIxMSEmJiYt55551t27bV1NR0dovg9fHq1Svp2avFixcvWLAgMTGxPTdqQUVFRXl5+ZIlS2SeuqDxYKpMq2M6TWY4lt7v6tWr79+/f+HCBZm7AuXP8dSppeLkU4PGU9Hu378fGRl5/vz5RYsWqX9jOIZdAHht6HQCy8bGZsKECQEBAQEBAf/85z99fX11uXfQJS6X6+bmlp+fLxQKS0pKlC2bqlBWVpadnd2zZ8/ouxGVSUlJ4fP5dXV1169fV30zrIuLi4GBQXp6en19fWlpaWZmZqtBzpw5IxAI+Hx+YWEhvbzlmTNnampqHj16VFhYaG9vL72LlpYWExMTmafbygd3dna2srJKTk6mgtPPwlMRmTJ48GB/f//4+Pj6+nplVbS4O3WCK3yjXFxcWCxWenp6XV1daWnplStXVPxdtM7KyurZs2fUa1NT033/o1m0M2fOPHv2TCgUpqWlDRs2jNoo/z64uroaGRmdOnVKJBJVVVUpPMNT+IfQLJSyZFZRV1tJrvAtUr+wilpdIrtAH8TExCxZsmTp0qWbN2+WvvwQQOv27NkTFRVVWFjY2Q3p2iQSSWxs7OPHj9euXTtnzhx63TrNRsD2kx+O5fc7evRomVry53jq1FJx8qmBfv36USNgQ0PDtWvXCCF9+vRRsy6GXQB4bejuFkJjY+NFixbdv3+fur+Ux+PxeLzbt28LhUKdtQF0xtfXt6SkhPrj5ubmTpw48ezZs9QjYFv1j3/846+//nJ2dh4wYMBff/2loqSXl5e3t3efPn2sra2p28SU4XK50ivBi0Qi+iHcyoLQ9+WKRCL6wiX64bV1dXUyNzaXlZUdP358yZIllZWVycnJ1O7kg/fs2bO8vFz+adwqIlMCAwPPnj376tUrFVW0uDt1git8o7hcbkVFBf23rq2tlZnU61B1dXX05X51dXWhoaGmpqYar4hBz4UJhUJTU1PqMcby74ONjc3Tp0/pLldVVcl3WeEfQrNQypJZRV1tJbm8NhVWUatLZBcAAGhALBafOHHit99+mzVrVmRk5MaNG5uamjQbAdtPfjiW3y99ikiTP8dTp5aKk08N2NjY9O7dW/o7OUtLSzVXtsKwCwCvDd1NYPXu3dvAwODYsWPUQfDMmTMhISHLly+/ceOGdDGxWJybm0sfZ6ErYjKZo0aNsra2lh5l3dzc7t6922pde3t7f3////znP66urnPnzt2wYUNjY2NDQwOLxTI0NKRunaOGfx6PFxQUlJycXF5e7ubmpvp56iKRiH4CMSHE1taWetGmIK3KzMzMysoKCAj497//vX79eoXBhUIhvfc2OXjw4MKFC8vKyu7du6ewgHZ3p05whUQikfQdozK3DHS0v/76q0ePHgMHDpSf0FSYRaqZmZlRp4Z9+vR58eKFRCJR+D5UV1f37NmTmt4ihNja2sofweT/EBqHUpbMyupqN8lV0+BNblMLOze7AABAY0KhMDExMTY2tm/fvgwGQ7MRkKZsuGl1GJIfjtXcr8w5XnvGa83GypqamgcPHmzcuFF6o6GhIYZdAOhWdHoLYXNzMz2FL5FI/vvf/0o/zJ5ibW29aNEi+loAdaSlpam/xBLowMCBA01NTT/55JPQ/7l58+bbb7/dakUmkzl//vyffvqpuro6Jyfn+fPn1PIHTU1NVVVVEydOpJ4fTD17kcvlCoVCPp9PCJFeVqCurs7BwYHJ/D+5XVJSYmlp6efnx2azPTw8PD09qe3KgrQHn883NDRUFrykpMTAwGD69OkcDsfFxUX9myv5fP7BgwfDw8Pt7OwUFtDu7tQJrlBJSYm1tfX48eOpt7pDp0vkiUSiEydOLFq0aNSoURYWFsbGxjwej/qVwixSbdq0aRYWFlwud9asWdRl8wrfB+qRyVOnTuVwOFwuNygoKCMjQyaU/B+iPaEUJrOyutpNcoWfL5oGb3KbWti52QUAAG3l4uIyefJkS0tLFovl4eFhZGT08uVLjUdAmrLhptVhSH44btN+6XO89ozXmo2VVLSxY8ey2exW3wfVMOwCQNfVmU8hrK2tPXfunMxGBoOxevXqXr16UUdVaV9//TW9DA3l9OnTu3fv7thWQtuNHj06MzOTXqqJEPLzzz+vWrWKekqLCgEBAc3NzfQZwA8//LBmzZqcnJzHjx8fPnx43rx5kydPzsjIoE4a8vLyRo4cuXHjxidPnuTk5NALSGdlZS1duvTbb79duXJlQ0MDtbGhoWHXrl3BwcEzZswoKCignnKoIogG3N3dqbnXioqK77//XlnwxsbG+Pj44ODg6OjompqaQ4cOqb+LW7dunT59+rPPPtu0aZP8b7W+u1aDK9TQ0LBjx46QkJAZM2bcvn376tWr9IIXunH+/PmXL1++++67ISEhYrG4srLy8OHD1K/ks0i1O3furF27lsFg/PHHH7/88gtR8j40NzfHx8eHhIRER0fX1tZmZmbKP3Bd/g9RVlamWShlyaysrhaTnPzfz5fCAm19k9vUwk7PLgAAaJOqqqoJEyZs2LDBwMDg8ePHO3furK6u1ngwlaZsuFE9DMkPx+rsV/4crz3jdauNVKipqSkhISE4OHjWrFnUDSvUSR2GXQDoVhiql77Wor59+wYHByv8x1vGypUrjx49WlZWpvC3vXr12rFjx8yZM+ktaWlpoaGh1dXVKmIOHDhw9uzZ69ata2uz9Rz1TQu1rJjOmJmZKVzsJiIi4sSJE62uvE4ZOHDg2LFjd+3apeXGgZ5ZsGBBWVnZ+fPnxWKxdhNVWR5C90Fnl/pVkIegD5CHoA+Qh9BWGgy7rUIegj5AHuoeveJeW+n0FsKO4+bmtnv37mPHjoWFhRFCLCws0tLS6N9+/fXXGzZsuHr1qkyttLS0sWPHHjhw4Mcffxw7duyIESMSExN//PHHGTNmKAxCPQzF3Nx8+fLlR44cOXr0qPwDR7q51atXz5s3r9ViixYtioiI0EF7oBOx2WwfH5+hQ4fKrHMH0H7ILgAA6J4iIiLUf/6gtmDYBQA90Zm3EGqRv7//qlWrLC0tN23adPnyZfnbD+Pi4qgnzsoYPnz4J598MmLEiCVLlvz555/Lly/v3bv3xo0bL1y40NzcrHBfX375JZ/PX7JkibW1db9+/bTfmS4rLi5OzZJ79+7du3dvhzYGOlFkZGTfvn0lEsnjx4+3bdtWU1PT2S2C1weyCwAAujP1z7e1AsMuAOiV12QC69ixYy9fvnz58mVeXl7fvn3lJ7CUOXnypEgkunz58qJFi9LT06urq6urqx8/fmxvb68wSP/+/blc7sqVK5ubm1+9enX//n2t9gPgdRATE9PZTYDXFrILAABAZzDsAoBeeU1uIXz27Bn1ora2tk1PMHz16hX1or6+ng4iEomUBbGzs+Pz+couzgIAAAAAAAAAAK17TSawZNTX1xsZGbFYLOpHNZ8pq06Qmpoa3d+YT5bJAAAgAElEQVR2DgAAAAAAAADQnel0AsvAwIDBYKguw2AwDAwMJBJJe3bU2NhYUVExffp0ExOTyZMn9+zZU1tBCgsLmUzm3LlzzczMBgwYMH78+Pa0EwAAAAAAAAAAWqW7NbAqKyubm5tnzZql+hGVZmZmzc3NT58+befutm/f/sknn8yaNevs2bPFxcXaCtLY2Lhu3bp///vfBw8erK6u3rZtWzvbCQCdyNDQcNmyZcePH8d6dgAAAB3N39/f3t4+KSmJ+pHH4y1YsCAlJSU/P79zGwYAAF0Co3fv3jrbmY2NzfDhw42MjFSUEYvFubm5L1680FmrujTqxkbVc4JaZ2ZmpvCPuHbtWkdHR0JIdXX1r7/+ev78eULIuHHj/Pz8LC0tHz58ePjwYWpqUmFJeL2JxWLtJqqyPGwrc3Pz0NDQnTt3NjQ0qFO+Z8+eH3/8sbOz87Nnzw4dOlRaWkoI6d2795w5c5ycnJ48eZKcnPzo0aNWqyjcCB1Nb/MQuhXkIegDHedhUFDQxIkTqdcnTpw4e/assbHx/PnzDx48GBoa+v333wuFQi02BroKHA9BHyAPde/ly5eaVTQwMzPTblNUqK+vv3///j2V7t+/X19fr7MmtcrIyGj79u2//vprS0tLZ7dFAVNTU0KIWCzW5U6NjIwMDAzkt48ZM+bAgQMHDx588ODBxx9/fOfOnZqamrfffjs5Ofn06dM9e/YcM2bM1atXlZXUZRdA95qbm7WbqMrysK3EYnF2dnZTU5M6hRkMxvLly+/cubNnz56Wlpbg4OCLFy+2tLQsW7asoKBgz549hoaGM2fOvHDhguoqEolEYZz2dwdU09s8hG4FeQj6QMd5WFRUlJ6eXl9f/+rVq7S0NKoBOTk5TU1Nf/zxh45PZUF/4HgI+gB5qHsaz/no7hbCLkosFoeFhXV2K7oSiURSUlJSVVVlYWFBCDl8+DC1PSMjw8fHR0VJAK1ISEg4cOBAYGBgjx49srKyUlJSCCF2dnZz5851cnLi8/klJSUcDoe6f2HUqFGTJk2ytrYuLS3dv3+/QCBYtmxZbm5uRkYGIYTNZsfExKxYsUIkElHBHR0dzc3N09PTJRLJ+fPn/fz8eDze3bt3HR0d4+LiGhoaLly4EBQUxGKxevToERUVtWrVKjs7O/kqIpFIfqPGNzsDAADoLS6XO3fuXBcXl/Ly8nv37tHbrays5s6dy+Pxnj59eujQIT6fTwhJSEg4fPjwtGnTTExMfvzxx9ra2o8++ojNZp89e/bcuXOd1wkAANALr+dTCKETsVisESNGMJnMu3fvSm93dXWlTk1aLQnQTj4+PjExMbGxsaNHj3Z1dWUymYsXLy4qKvr8889TU1PfeustuqSDg8O+ffsiIyMJIf7+/oSQ7Ozs4cOHU7/19PQsKiqiZ68IIY6OjmVlZfRTJvh8fu/evSUSSW5u7vjx442NjceNG1dUVNTY2EgVYDAYCqso3NixbwoAAIDOMZnMpUuX3rt3Lyoq6tixY/QQTG2/f/9+ZGTk+fPnFy1aRD/oycPD46uvvkpOTg4JCZkwYcLGjRsTEhKmTp2K7zsBAABXYIE2RUREEEKamppOnTrV3NxMb+fxeO+9915CQkKrJQHa78yZMwKBQCAQFBYWUqutsVgs6nKn0tLSK1eu9OjRgypJXZ9FCLl+/frQoUMJIXl5eR9++CGHwxGJRF5eXpcvX5aObGJiUldXR/9YX19vaGhICElPT1+5cuX777/f1NS0efNmQsjz58+joqKUVTEwMFAYBwAA4HXi4uJiYGCQnp5OCCktLc3MzLS0tCSE9OvXjxqaCSHXrl2bMmVKnz59ysvLCSG//fZbXV3djRs3Zs+e/fvvv1MDemVlZe/evQUCQed2BwAAOhf+ZQJtiouLu3v3bs+ePanrvf/73/8SQvz8/Ly8vLZu3fr8+XPVJQG0gl4UUCQSGRsbc7nciooK+nKn2tpaegLLy8vL29u7T58+1tbW1B18f//9d0FBwZAhQ27duuXo6Hj79m3pyHV1dcbGxvSPJiYmQqHQ0tIyIiJi7969d+/edXV1DQ8P37x5M53tCqswmUz5jdp/IwAAADoVl8uVfra4SCSiJrBsbGx69+69b98++leWlpbUBBa9Lurff/9dXV1Nva6vr8eKyAAAgAks0DKJRPL06dOsrKzRo0cTQqZNm2Zubh4TEyO/QLVMSYAOIhKJrKys6B+5XC71gsfjBQUFJScnl5eXu7m50XcOXr9+fcyYMUwm8+bNmzJ5W1VVRV3SRXFwcPj555/d3d0rKysLCgoIIcXFxXw+f/DgwRcvXlRRxcjISH6jlrsNAADQ2UQikbW1Nf2jra0t9aKmpubBgwcbN27spHYBAECXhDWwQMsYDAaXy3377bdLS0u5XK63t3dycrLCx6tJl9R9O6H7KCkpsba2Hj9+PJvN9vDwoCequFyuUCiklmbz9vamyxcWFjo4OHh7e1MPzZRWWloqkUgmTJhgamrq7+9fX1/P5/P5fL6Tk5OHhweLxXrjjTd4PF5ZWRmXy928ebOhoaHCKgo36uwNAQAA0I2SkhJLS0s/Pz9qCPb09JTePnbsWDab3bktBACALgRXYIE2UStbCQSCP/74Iz093d3dncvl7tmzhy6wc+fOvLw8+ZKd1WDoDhoaGnbs2BESEjJjxozbt29fvXrVxMSEEJKXlzdy5MiNGzc+efIkJydnwIABVHmJRJKfn+/m5vbo0SOZUBKJJCEhITQ0NDAw8OHDh9S9D48fP05KSpo1a5atre2LFy9++OGH+/fvc7lcBoPBYDAUVlG4EQAA4DXT0NCwa9eu4ODgGTNmFBQUZGRkUNdBNzU1JSQkBAcHz5o1SywW5+bmHjp0qLMbCwAA+o6BR191aTY2NoSQ2tpaXe7UzMwMyxBAW4nFYu0mqsZ5uGDBgrKysvPnz6soM2fOnIqKCtVloCvSnzyE7gx5CPoAeQj6AHkI+gB5qHv0msVthVsIAaC7YLPZPj4+Q4cOvXHjhopibm5uw4YNy87O1lnDAAAAAAAAQDXcQggAr7/IyMi+fftKJJLHjx9v27aNfsKRvMWLF7u6uiYmJopEIl22EAAAAAAAAFTABBYAvP5iYmLULCm9ZBsAAAAAAADoCdxCCAAAAAAAAAAAeg0TWAAAAAAAAAAAoNcwgQUAAAAAAAAAAHoNE1jQ4RISEiwsLDoisr+//7x586jXgwYNmjlzpqmpaVRUlKFhK4u7UU1iMBgbNmywtrZWUUbLLQYAAAAA0C2FJ72qz4QVwukxAHQuPVrE3crKihBSXV3d2Q0BzTk6Or733nsDBgwwMDC4e/fukSNHVDzurT2CgoImTpxIva6qqjp79mxhYeG4ceM2b9584sSJpqYm6leTJk2qq6u7fPmywiASiWTdunUd0TzoROPGjfPz87O0tHz48OHhw4efPn1KCOnZs+fHH3/s7Oz87NmzQ4cOlZaWKitJCPHx8QkICOByuZWVlevXr5ffhcJovXv3njNnjpOT05MnT5KTkx89eiRf0dTU9I033vD29q6pqTl69KiKBrdai2JiYrJp06bjx49nZmZKbw8ICBgzZoyJiUlxcXFSUhL1RMVWdwQAAKB1XW5cVhit1VoUvR2XpU966dNjnAkDQJejF1dgMRiMoKCg5cuXL1++PCgoiMFgdHaLQBMeHh7Lly8vLS39+uuvV6xYkZ+f379/fzXr8ni8Tz/9VP19paamhoaGpqSkXLly5ezZs4QQiUSyffv2pUuXXrx4kS7Wq1cvIyOjNvUCujoHB4f4+PjPP//84cOHc+bMIYQwGIx//etfd+/ejYyMzMzMDAsLY7FYCksSQry8vCZNmvT999+Hh4crPEtWFi00NLSoqCgyMjInJ2fx4sUK2+bv7//GG29UVFQYGBioaLA6tSiTJ09WeMA0NTXdtGnT6tWrDQwMpkyZouaOAAAAtK5rjcvKoqmuResS4zJOjwGg69KLCawhQ4Y4Oztv2bJly5Ytzs7OQ4YM6ewWQZuxWKyPP/74xx9/PHfu3PPnz0UiUVZWVk5ODvVbV1fXr776avv27SEhIYQQMzOzhIQEum5ERMSnn36al5dHCBk1atRXX321Y8eOiIgIhZcoc7nciIiI7du3r1y50tLSkt4uXzEiImL06NEffPDBvn37TE1NFTabvhCaw+EsWLDg22+/3bp1q5eXl8JmQ5dw+PDhZ8+eNTQ0ZGRk9OnThxDi6Ohobm6enp4uEonOnz8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" alt="Schedule Task — Kanban"></div>
+<p class="rg"><b>Lane</b>: một cột mỗi trạng thái · <b>Thẻ</b>: kéo đổi lane · double-click sửa · chuột phải: Chạy ngay / Lịch sử</p>
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i on">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="r tb"><div class="tab on">Kanban</div><div class="tab">Lịch</div><div class="grow"></div><div class="btn pri">+ Task</div><div class="btn">✨ AI tạo</div></div><div class="r grow k7"><div class="c lane"><div class="hd2">BACKLOG (2)</div><div class="card">[AI] Xuất DS khách hàng B2B<span class="s">Chưa đặt lịch</span></div><div class="card">Rà soát bảo mật trước release<span class="s">high</span></div><div class="grow"></div></div><div class="c lane"><div class="hd2">ĐÃ LÊN LỊCH (2)</div><div class="card">Quét lại chỉ mục ISO<span class="s">08-11 14:32</span></div><div class="card">Báo cáo doanh thu 08:00<span class="s">08-09 14:32</span></div><div class="grow"></div></div><div class="c lane warn"><div class="hd2">ĐANG CHẠY (1) ⚠</div><div class="card">Đồng bộ heartbeat trạm sạc<span class="s">08-08 · high</span></div><div class="grow"></div></div><div class="c lane"><div class="hd2">CHỜ DUYỆT (1)</div><div class="card">Chờ kế toán duyệt số liệu T7<span class="s">Chưa đặt lịch</span></div><div class="grow"></div></div><div class="c lane"><div class="hd2">XONG (2)</div><div class="card">Sao lưu CSDL hằng đêm<span class="s">08-07 · critical</span></div><div class="card">[AI] Slide tổng kết Q3<span class="s">Thành công</span></div><div class="grow"></div></div><div class="c lane"><div class="hd2">LỖI (1)</div><div class="card">Kiểm tra chứng chỉ TLS<span class="s">critical · Lỗi</span></div><div class="grow"></div></div><div class="c lane"><div class="hd2">TẠM DỪNG (1)</div><div class="card">Dọn log cũ hơn 90 ngày<span class="s">low</span></div><div class="grow"></div></div></div><div class="stat">Đủ <b>7 lane</b> theo <code>core.tasks.STATUSES</code> — không gộp, không giấu lane nào. Lane hẹp lại để vừa một màn, hết cuộn ngang.</div></div></div>
+<details class="ctl"><summary>Kiểm kê control — <b>23</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>Thêm Task</td><td class="mut">nút</td><td><code>self._add_task</code></td><td class="mut">ui\schedule_task_tab.py:88</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>AI tạo Task</td><td class="mut">nút</td><td><code>self._ai_create</code></td><td class="mut">ui\schedule_task_tab.py:92</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._on_view_changed</code></td><td class="mut">ui\schedule_task_tab.py:95</td><td class="mv">→ đổi thành cặp tab Kanban | Lịch</td></tr><tr><td>len(runs</td><td class="mut">bảng</td><td><code>self._open_artifact</code></td><td class="mut">ui\schedule_task_tab.py:436</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>QDialogButtonBox.Close</td><td class="mut">nút hộp thoại</td><td><code>—</code></td><td class="mut">ui\schedule_task_tab.py:461</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Project/workspace mà agent của task này sẽ chạy trong đó — á</td><td class="mut">droplist</td><td><code>—</code></td><td class="mut">ui\schedule_task_tab.py:523</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>vd: Mỗi thứ 2 lúc 9h, dùng Code đọc dữ liệu CAE mới tạo báo </td><td class="mut">ô nhập nhiều dòng</td><td><code>—</code></td><td class="mut">ui\schedule_task_tab.py:537</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Đường dẫn tệp local, cách nhau bằng ;</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\schedule_task_tab.py:544</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Chọn tệp…</td><td class="mut">nút</td><td><code>self._ai_pick_files</code></td><td class="mut">ui\schedule_task_tab.py:546</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>https://…  các link, cách nhau bằng ;</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\schedule_task_tab.py:553</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tạo kế hoạch</td><td class="mut">nút</td><td><code>self._generate</code></td><td class="mut">ui\schedule_task_tab.py:557</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tạo template Excel…</td><td class="mut">nút</td><td><code>self._export_template</code></td><td class="mut">ui\schedule_task_tab.py:571</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Chọn file…</td><td class="mut">nút</td><td><code>self._pick_import_file</code></td><td class="mut">ui\schedule_task_tab.py:576</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>QDialogButtonBox.Ok | QDialogButtonBox.Cancel</td><td class="mut">nút hộp thoại</td><td><code>—</code></td><td class="mut">ui\schedule_task_tab.py:592</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Chạy ngay</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\schedule_task_tab.py:309</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Sửa task</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\schedule_task_tab.py:310</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Nhân bản task</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\schedule_task_tab.py:311</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>schedtask.menu_resume' if paused else 'schedtask.menu_pause</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\schedule_task_tab.py:313</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xem log</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\schedule_task_tab.py:314</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Lịch sử chạy…</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\schedule_task_tab.py:315</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tạo task tiếp theo từ output</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\schedule_task_tab.py:316</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xóa task</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\schedule_task_tab.py:318</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>schedtask.menu_delete_selected', n=len(selected</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\schedule_task_tab.py:348</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li><b>7 lane bị cắt ở mép phải</b> — lane <i>Paused</i> mất một nửa.</li><li>Kéo-thả <b>có tác dụng thật</b>: thả vào <i>Running</i> là <b>chạy task ngay</b> (<code>schedule_task_tab.py:265</code>), không cảnh báo.</li><li>Kanban/Calendar là combo, không phải tab.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Giữ <b>đủ 7 lane</b>, thu hẹp cho vừa một màn. Không gộp lane nào.</li><li>Combo → cặp tab <b>Kanban | Lịch</b>.</li><li>Lane <i>Running</i> có viền cảnh báo.</li></ul></div>
+</div></div></section><section class="sec" id="schedule-calendar">
+<div class="hd"><b>3. Schedule Task — Calendar</b><span class="tag">ui/calendar_view.py:88</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Cùng dữ liệu Kanban, xếp theo ngày.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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" alt="Schedule Task — Calendar"></div>
+<p class="rg"><b>Ô ngày</b>: nút + tạo task lúc 09:00 ngày đó</p>
+<div class="cap">Đề xuất — bố cục mới</div><p class="mut">Giữ nguyên bố cục bên trong; chỉ đổi thanh menu sang danh sách phẳng.</p>
+<details class="ctl"><summary>Kiểm kê control — <b>7</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>+</td><td class="mut">nút</td><td><code>lambda: self.add_requested.emit(self._date_str)</code></td><td class="mut">ui\calendar_view.py:43</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">danh sách</td><td><code>self._on_item_clicked</code></td><td class="mut">ui\calendar_view.py:49</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Trước</td><td class="mut">nút</td><td><code>lambda: self._shift(-1)</code></td><td class="mut">ui\calendar_view.py:100</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Hôm nay</td><td class="mut">nút</td><td><code>self._go_today</code></td><td class="mut">ui\calendar_view.py:103</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Sau</td><td class="mut">nút</td><td><code>lambda: self._shift(1)</code></td><td class="mut">ui\calendar_view.py:105</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._on_granularity_changed</code></td><td class="mut">ui\calendar_view.py:110</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">danh sách</td><td><code>lambda item: self.show_month(self.anchor.year, item.data(Qt.UserRole))</code></td><td class="mut">ui\calendar_view.py:213</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Bố cục hiện tại giữ nguyên; chưa phát hiện vấn đề sắp xếp nghiêm trọng.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Chỉ áp thanh menu phẳng mới; nội dung bên trong giữ nguyên.</li></ul></div>
+</div></div></section><section class="sec" id="workspace-project">
+<div class="hd"><b>4. Workspace ▸ Project</b><span class="tag">ui/workspace_tab.py:188</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Khai báo project — đơn vị gom nhóm của app. Mỗi project có sandbox riêng và Instructions chèn vào mọi chat. Đây là <b>bộ chọn project duy nhất</b>.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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alt="Workspace ▸ Project"></div>
+<p class="rg"><b>Trái</b>: danh sách project — chỉ hiện ở tab này · <b>Phải</b>: Tên · Mô tả · Instructions · thư mục</p>
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i on">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="r tb"><div class="ttl">Quản lý project</div><div class="grow"></div><div class="btn pri">+ Project mới</div></div><div class="r grow"><div class="c w32 pane"><div class="hd2 row">PROJECT<span class="pchev">‹</span></div><div class="li">Trạm sạc EV — Cổng vận hành<span class="s">6 đoạn chat · 4 task</span></div><div class="li on">Báo cáo tài chính Q3<span class="s">2 đoạn chat · 3 task</span></div><div class="li">Cổng tra cứu tài liệu ISO<span class="s">1 đoạn chat · 1 task</span></div><div class="grow"></div></div><div class="c grow"><div class="lbl">Tên</div><div class="inp">Báo cáo tài chính Q3</div><div class="lbl">Mô tả</div><div class="inp">Tự động gom số liệu từ Excel phòng ban, dựng bảng tổng hợp và slide.</div><div class="lbl">Instructions</div><div class="inp tall">Đơn vị tiền tệ mặc định VND. Làm tròn tới nghìn đồng.<br>Mọi con số phải truy được về file nguồn.</div><div class="lbl">Thư mục làm việc</div><div class="r tb"><div class="inp grow">…\workspaces\bao-cao-tai-chinh-q3</div><div class="btn">Đổi</div><div class="btn">Mở</div></div><div class="grow"></div><div class="r tb end"><div class="btn pri">Lưu project</div></div></div></div></div></div>
+<details class="ctl"><summary>Kiểm kê control — <b>11</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>Thu gọn danh sách project</td><td class="mut">nút</td><td><code>lambda: self._set_projects_collapsed(True)</code></td><td class="mut">ui\workspace_tab.py:90</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">danh sách</td><td><code>self._on_select</code></td><td class="mut">ui\workspace_tab.py:97</td><td class="mv">→ giữ ở màn Quản lý project + thêm thanh chọn đầu trang</td></tr><tr><td>Project mới</td><td class="mut">nút</td><td><code>self._create</code></td><td class="mut">ui\workspace_tab.py:101</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xóa</td><td class="mut">nút</td><td><code>self._delete</code></td><td class="mut">ui\workspace_tab.py:105</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">dải tab</td><td><code>self._on_tab_changed</code></td><td class="mut">ui\workspace_tab.py:129</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>project.name</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\workspace_tab.py:193</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>project.description</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\workspace_tab.py:194</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>vd: "Trả lời bằng tiếng Việt. Team đang xây tool báo cáo X; </td><td class="mut">ô nhập nhiều dòng</td><td><code>—</code></td><td class="mut">ui\workspace_tab.py:203</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Đổi thư mục…</td><td class="mut">nút</td><td><code>self._pick_folder</code></td><td class="mut">ui\workspace_tab.py:211</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mở thư mục</td><td class="mut">nút</td><td><code>self._open_workspace</code></td><td class="mut">ui\workspace_tab.py:214</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Lưu project</td><td class="mut">nút</td><td><code>self._save</code></td><td class="mut">ui\workspace_tab.py:223</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li><b>Pane trái đổi danh tính theo tab</b> (<code>workspace_tab.py:310-338</code>): Project → danh sách project, Cowork → History, còn lại → trống.</li><li>History chỉ tới được từ tab Cowork.</li><li>Bộ chọn project chỉ có ở tab Project.</li><li>2/3 chiều cao dưới là khoảng trống chết.</li><li>Header <i>“Workspace — Projects”</i> hiện ở <b>mọi</b> sub-tab.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>History lên sidebar thành <b>RECENTS</b>, luôn thấy.</li><li>Thanh chọn project ở đầu trang, dùng chung mọi màn.</li><li>Pane trái cố định, không đổi danh tính.</li><li>Header đổi theo màn.</li></ul></div>
+</div></div></section><section class="sec" id="workspace-cowork">
+<div class="hd"><b>5. Workspace ▸ Cowork</b><span class="tag">ui/cowork_tab.py:21</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Chat với agent. Agent đọc/ghi tệp trong sandbox, chạy lệnh, gọi MCP.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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T7pxk2bhBBZx4+3/pCampqPVq0SQixbvvxiteVWEZGRZ86c8XQXAAAAADzMbreXl5dnZGRERkY2P7J///4FBQWHDh1KSEioH2A5iuh0ugMHDhQUFMyfP3/btm0FBQVCiF9//XXkyJHOAMvb23vQoEGtn7Py/vvvf/rpp+PHj9doNGvXrtXr9ffcc4+3t/fmzZu3bNkihAgLC5s+fXpMTExRUVF2dvZ5XzykTUIBVnBwsBDCMf0KaEypVN7z17+mrl9/4MABx57jx48f/zNXCgoKmnjXXd27d6+trf314MGvv/66trZWCLFo0aK1a9eOve02jUazfv16g8Fw9913e3t7b9u2bfsPPzQ4xciRI4cmJqrV6vS9e7/44otmyrrknHwXHBQ0ZcqUmJiY0rKy5OTkU6dO+fn6zn/55aefftoxcs7s2Wm7dx85cqT+4aEhIVOnTo3u2vXM6dO5ubnO/U31MHjw4JEjRgQFBeXl5X38ySfV1dWOHj799NPbx43z9/ffu2+f4yqEENHR0bePGxcYGLj/wIGUlJT6550ze3ZsbKwQ4s4JE575xz8aD25N8wAAAADaAZlM1rFjx0GDBq1fv775kUOGDNm/f//hw4enTp0aHBzs8rt8aWlpTk5Oz549HQHW/v37k5KSOnbsePr0aSFEYmLir7/+qlKpWt9enz59XnnllT59+kyfPj03N/f111+PiIh48skn09PT9Xr9o48+euDAgWXLlnXs2PHhhx/+7bffzufSIXWSCLBkMtnEiRP79esnhMjIyFi/fr3dbvd0U5Cc7t26yWQyZ3pVn0wme2jWrN8zM9ckJ/v6+k6/995bRo/+5ttvHa9e3avXvxYuvPrqq6dOmXIyP//txYvDwsIenTPnl/3766/0FN2ly4033vivhQudO5sv2xS5XD5r1qyMjIxVq1fHxcX9bcaMV197rcWrk8vlDz300MGDBz9atUqr1T4wc2bm0aPN99CxQ4f/fvxxeXn5zPvvHzZ06Fdff+0odf2AAe8uWRIQEPDY3LmHDh3Ky8sTQgweNGjJe+/5+/s/NnfuwYMH6/9zxPtLl06bNu3MmTM7duxw7GkwuJibswAAAIArwJNPPimEMBgMH374Yf15fI79QoitW7empqYKIcLCwmJjY1esWFFdXZ2dnX3DDTd89913LmtWVFRoNBrHdl1d3Y8//jhy5MiPP/5YoVAMHTr07bffvvXWWxv3UP9c9W3bts1oNO7fv3/KlCk//PBDVVVVVVVVcXGxVqutq6tTKBRff/21ECInJ2f37t1BQUEX/p5AOiTxFMK4uLjo6OiFCxcuXLgwOjo6Li7O0x3h4lKpVJGRkdp6/0VGRraYuwcFB5eXlzu2NRrNe0uWOP4TQnTt2lWlUn377bdGo7GsrOzLjRuvv/5654E/7thhMpkOHjxotVp37dpVVVWVm5tbUlLS4HmCNpvN28srMDDQuaf5sk2Jjo5WqVSbv//ebDbv379fyGQt3nwrhOjSpYtcLt/8/fcmkykvL+/nn39usYcvvvyysLDQZDId+PXX+teyddu2qqqqU6dOZWVlXRUV5di5ZevWqqqqoqKirKysDh06NN/MeQ0GAAAA0D4sXrz48ccfz8vLa/CtfPHixUlJSUlJSc5E6S9/+Ut2drZjFsjBgweHDBkik8lc1gwPDz937pzzx127dvXr1y8gIOD666/Pz893fsVr5lz1VVZWOjbMZrPzni+TyaRWq8PCwkpKSpwjDQbDeV07pE8Sd2BFRESUlpY6bnspKioKCwvzdEe4iAICAsaNHSuXy50PqhBCOH78+ptvmnn4nclkCgoOdm4/OneuRqNZ+K9/CSFCQkLKysqcN+6Vl5cHBAQ4D3T8rSpc/R1Xv35BYeFXX331YFJSSUlJSkpKaVlZ82WbEhISEhER4UjWHIICA/V/9tCU0NDQsrIy549GkykwKKj5S4uPj79+wIBIrTYkOPh4vSW6KioqHBsGg0Ht5eXYdl640WhscOGNnddgAAAAAO2GwWBYuXLlq6+++ssvvzgmczQml8tvvPHGkJCQFStWOHfGxsZmZWU1GNm9e/eoqKj6U/lMJtO+ffsSExP79+//2WefubfzkJAQ54/h4eFuLA4p8HyA1bNnz/j4eH9//8GDBwshunfvnpaWdol7WL9+fVJSEstvXRrdu3cvKS394Ycf6k8Ulclkw4cP7969+8GDB5s6MDs7O8DfPzY29nij9dQrKirCw8NlMpmjZmhoaP2Mv/V+Tk/fu2/f6FGjZs6c+cabb7atbFVVVX5+/qK3366/U6lUqpRKpVLpWL6q/n1eDkajsf4NrqGhoc1fWreYmAnjx6ekpp45fbpHz579+/Vrw/W2Uo3Z3HzzAAAAANoNg8Hw1Vdf3XPPPa+99lr92w6crr76ah8fn7lz55pMJseehx56aMiQIc4ASy6Xh4SEXHPNNePGjVuzZk2D2xS2bdv24osvFhcXNxWQ1RcWFvb3v//9+eefb2YxYofs7OygoKDhw4fv2bOnW7du8fHx9R93iHbgUgdYvr6+1113nRDi119/9fb2HjNmTHR0tGPmamJiohBi/fr1p06daqZCdHT0lClT4uLiNBpNWVnZ1q1bW1xbrm2WLFkSExMjhKiqqkpPT1++fLnVanW+OmvWrCFDhtx33311dXWXvrfLWllZWZ/evW+44Ya83NwzxcVCiA5abdeYmA5abeNkqj6DwfDV11/PmDFj08aNR48dM9fUOP6AhBCOv/huu+22H3/8UaPRTBg/fs+ePW3u8NSpUwMGDGhz2dzc3MDAwCEJCb/s3282mx07a2try8vLh998885duwZef339fxlwyMnJCQwKSkxM3Lt3b0xMTL+4uGNZWc30EBIaWq3XFxYWKpXKAddd1+Lf5s0zGY0dO3RocFucU4vNKxSKeS+++M477+gqKuY++ujWbduysrLuuvPOisrKHxqtlA8AAABA4nbu3JmYmJiYmOhYJ9e5LpUQYtasWQkJCbt373amV0KIb7/99rnnnvP19XUMttvtRqMxOzt72bJljZ8GeO7cuaNHj7pc3bjxuYQQMpmsqfmJ9dXU1CxbtmzatGl33XXXkSNHdu3axeyuduaSBli+vr6zZ8923D+SmJioVCozMjL+/e9/6/V6IcTvv//eYoX+/fs/++yzqampq1ev1uv1PXr0GDJkyMVr+IUXXnA8PfQf//jH+PHjnVNwVSpVQkLCqVOnBg4cmJ6e7pHeLl+FhYU7d+0aPWqUNjLyiy+/FEJER0f3vvrqLVu3FhYWNn/szp07K3S64cOHT5482Wq1lpSUrF23TghRV1f3wbJlkydPfnn+fIPBkJ6evmPnzvNtrFds7IwZM7y8vEpKStasWdPmsrW1tR/+5z+TJ02aMGGC1Wo9nJGRnJwshEheu3ba1KkjR43a89NPjf+pwWw2f/TRR5MnTbrj9tszMzN/2rPHcRNWUz0cycgYcN11L82bd+bMmYOHDvXo3v18r7e+9L17H5o167XXXps/f77LAc03L5PJZHK5TC53bMsdG3J5y/8nAwAAAEAaFixY4Ny22+3Orwb19zt8+OGHDfYUFhY+/PDDLge7rF9/7uGnn37qcoxDeXn5M88849ieM2eOc/9zzz3n3H7rrbccGydOnGjqGw3aAZlWq71kJ7vpppt69uy5cuVKIcQTTzyRnZ399Z/PTWsNlUq1cuXK1atX73QVIqxfv37ZsmX333//mjVrvv3225EjR06cODEsLOzYsWOLFi1yrAq0fv36N954Y8aMGVqtNiMj491333WsjrR+/fpFixbNmDEjJCRk586dH3zwgRBiyZIlq1atOnz4sBBiypQpkZGR7777rvNChg8fnp6ePmjQoJdffrnF3i4eR8bhSADdyM/PrzUrHwUGBXt5e1dVVrThFDcMHiyESN+7t8E2rmQBAYEWi6VC93/zNC0WS1Mfbz8/P7d/8gEAAID2xOXvzK38ugdcuGa+0LWBJJ5C2ErXXHONEKKZhCg+Pv7BBx/89ttvhRCOxxpOnz5dCHHHHXc4x9x2222vv/76Aw88IJPJHnjgAef+ESNGPPfcc88++2xiYqLjRA4ymSw6OnrYsGF768Uro0aN+vnnn9PT0+Pj4x0RUou94Qo0Z/bsSxkQAwAAAADQXl3SKYS//vrr4MGDHbGRn5/fddddp1Kptm7d2spALiwsrLi42LHt6+u7bt06x/bYsWMdG99++63zSZnOOxJ37do1cOBAZ5HU1NQzZ84IIVavXr1o0SLn/pSUlHPnzp07d+7QoUNdunRxzGd89dVXhRB6vf7NN9903IolhIiMjOzbt+9bb71VWVl59OjR4cOHp6SktNgb6pPL5QEBAc53zGg0arXaphZguny9v3Spp1sAAAAAAKA9uKQBlsFgWLp0qWMR9+TkZG9v71tvvfWJJ5748ccfKysrHYu479ix4+jRoy4P1+v1zjXYDAbD2LFj60dFQojS0lLndkJCwtChQzt37hweHu7MnoQQztCkoqLCx8fH+XC3srIy51m8vLwc2y+88EJOTs7TTz99/fXXO4uMGDHi2LFjlZWVQog9e/ZMmDAhNTW1xd7gFNWxY8KQIVaL5fiJE449x0+c6Nat26RJk3bv3n369GnPtgcAAAAAAKTmUj+F0GAwpKWlObc/++yzHj16TJgwwd/f3zH1b+LEiatWrXL5IMLff/89ODi4f//+9QOp+pz37/Tu3XvmzJnLli3Lz8+Pi4v7y1/+4hzj7++v0+mEEJ07dy4tLXWkV82orq5etGjRhx9+mJaWdvz4cblcPmLEiPDw8G+++cY5Ji4ursXe4KBWq0eMHLl3794//vjD+edVU1OzcdOmHj16jBw5Mjk52WKxeLZJAAAAAAAgKZ5fA+uPP/44dOhQdnb23r179+7dm52dHRsb63JkdXX1xx9//Mwzz4wYMSI4ONjb27t3794uR0ZGRlZWVubk5AghHDd2Od17773BwcGRkZEPPPDAtm3bWtNhdXX1mjVrHnnkEblc3r9/fz8/v7vvvnvsn/bs2TNq1KjW93aFCwkOVimVlRUVEeHh2sjITp06derUSRsZGREeXllRoVIqg4ODPd0jAAAAAACQlkt9B5ZLpaWl/fv3DwgIEEJERUVlZmY2NXLTpk1lZWV33nnnI488YrFYCgsL33///cbD0tPTExMTV6xYkZ+fv3v37r59+zpfOnDgwDvvvKNQKHbt2rVhw4ZWdvjdd9/dcsstt956a9++fbds2eJcaUsIsW7durffftvPz6+VvV3hTDU1Qojhw4c7flSpVEIIq9XqHFBTU+ORxgAAAAAAgGTJpPCUNJlMNnHixH79+gkhDh8+vGHDhhZn9rXN+vXrk5KSHFMI2wfHMxDd+FhKh1Y+VzUwKNjL27uqsqLNJ7ph8GAhRHq9JzziShYQEGixWCp055x7mnnqqstHAgMAAABwcvk7cyu/7gEXrpkvdG0giTuw7HZ7amrq9u3bhRDtKV2C2910002JiYmBgYEFBQVr1651LNsfHh7+12nTunTpUlZenpycnJeX19RIIcTAgQNHjx4dGhJSWlr6+htvND6Fy2oRERFTp0zp1KnT6dOn16WkFBUVtfLAFs/YhtONHjUqISFBo9EcP3788zVrjEZjM9cLAAAAAEA7oPDz8/N0D/9TU1NzsaePTZ48+euvv25Pk9R8fHyEEG5f9VytVisUihaHeXtrlEql2dz29zMqKsouhMs8yKUbBg9OSUnZvHlzRHj4jQkJ+/btk8lkj86Zc/To0VWrV9vt9ol33ZWWlmaz2RqPFELEx8ffMnr0muTklNRU58ME6muq2pzZs3/PzFy1apVKpbrjjjsaH9vUgc2fsW2ni+vbNzk5ecfOnf369evQseOxY8dcvjOtfEslxcvLu66urqbG5NxTV1fX1MdbrVaz3j8AAADQDJe/M7fy6x5w4Zr5QtcGnl/E/VKaOHEid3hJSkZGRkZGRuvHr123rry83Gw2/7RnjzYyUggRFRXl5+e3+fvvjUbjjh07rLW13bp1czlSCDH2tts+WrUqNze3rq7OZX2X1WQyWVRU1E8//WQ2m3ft2hUWGupYuqvFA1s8Y+tPFxoSsmDBAqVSKYT4cuNGXUVFdXX1kSNHggIDm3pnAAAAAABoN66sAAtS0+bb7rp27VpYWCiEuCoqqqCw0Llo2qnCwoiICJcjw8LClEplQkLCorfemv/SS4MHDWpc1mU1u92ekZFx05AhXmr1kCFDsrKy6q8638yBLZ7xPE4nk9U/UC6Xd9BqBw0atLfRnVbO6wUAAAAAoN2QxBpYwHmJiYm59ZZb/rNihRBC4+NjMhqdL5lMJpVS6XJkaGhoUFBQdVXV8y+80KVLlweTkk7m5+urq9/4c12qzz//vKlq323e/NRTT40ZM6a2tvbf77wjhPDz9W3xQJdnLC4udg5r/enOnj07b948x7C4uLikBx6w2+1paWknTpxo6p0BAAAAAKDdIMDCZSYxMfHa+PilS5eePXdOCGE0GNReXs5XNRpNdXW1y5F1dXV6vX7L1q1CiBMnTmQePdqzZ8+0tLRH5851Hj5o4MDG1QIDA+fMnr169eo//vija9euDyYl/fudd86ePdvigS7PWD/Actl8U6dzDjty5Mjcxx4LCgoaMXx4UlLSsmXLXF4vAAAAAADtBlMIcTkZO3ZsB6323SVLnBlNWXn5VVFRzgEdO3YsLilxOfJseblarZbL//eZt9vtFrO5QX2X1XrFxpaWlmZmZlosluPHjxcWFvbu3bs1B7Z4xjafzm6363S6zZs3x/bs6ajf+HoBAAAAAGg3CLBw2QgNCRkwYEBKaqrNZnPuzMvLs9vtNw8bptFohg0bZqqpKSwsdDlSV1GRn58/fvx4jUYTGxvbs0ePo8eONTiFy2qnioo6derUq1cvlUrVo0ePbt26NV5kyuWBLZ6x9acLDQlZ8PLLSqWyc6dOI0aM8Pf39/X1HTlqVE5Ojs1mc3m9AAAAAAC0GzKtVuvpHtB2oaGhQgi9Xu/esn5+fmq1usVhgUHBXt7eVZUV7j17U/r06fPQrFn196xYufLIkSNarXbGffdFRkbmFxSsWbOmtLS0qZH+/v73TZ/erVu34uLiDV98kZ2d3fgsjasJIeLj42+99daw0FCdTvf9li379+9v5YEtnrGVpwsNCXns8ccXLFjg4+Mz/d57o6OjrVbrsaysjRs3VlVVNXW9bXmXPSogINBisVTo/u8mMovF0tTH28/Pz+2ffAAAAKA9cfk7cyu/7gEXrpkvdG1AgHV5u6ICLLR7BFgAAACAGxFgwbPcG2AxhRAAAAAAAACSRoAFAAAAAAAASSPAQtvV1dXK5QpPd4H2Q65U1lqtnu4CAAAAACA5BFhoO4vFolKpPN0F2g+VSmWxWDzdBQAAAABAcgiw0HYWs1nF4n9wE5lMplQoLRazpxsBAAAAAEgOARYuiMloIMOCWyiVqhqTydNdAAAAAACkiAALF6RCp/P3D/B0F2gP/AMDK3TnPN0FAAAAAECK3BxgRUVFdevWzb01IWUmo6HWavXx9fN0I7i8+fr6Wc1mk8no6UYAAAAAAFLk5gDrkUceuf/++91bExJXWlIcFBQsl3M3H9pIqVQGBAaVlZZ4uhEAAAAAgES5M3QICPjfVDJ/f383loX0nczN1naI8uU+LJw/X1+/8Ahtfl6OpxsBAAAAAEhXwwDLGUK1QZ8+fU6ePHny5Mk+ffpcWFf/I5fLP/jgg/DwcOee2bNnjx492i3FL2rNK43NZsvNPiFXKEJCw1Uq1nRHy2QymUqlDgkLl8vleTl/2Gw2T3cEAAAAAJAuZYOfJ02alJqaWlVV1YZa11xzzW+//SaTyfr27bt3797zOjY6OnrKlClxcXEajaasrGzr1q3r16+32WyPPPKIc8ygQYMsFsuWLVva0FtTGte86667DAbD999/78azXCHKSoo1Pj7BwaHeGo211mq1Wm21tZ5uCpIjVypVKpVSoTTX1OjKy1n3CgAAAADQooYBVkBAQNsyrICAgM6dO69du1Ymk40ZM8bf37+6urqVx/bv3//ZZ59NTU1dvXq1Xq/v0aPHkCFDGg/bt2/fvn37zqurFjWuGRUVlZ+f796zXDlMRqPJaBRCqNVearVaqVJ5uiNITq3BYLFYLBazpxsBAAAAAFw2GgZY4jwzLB8fn6FDh8pksmuvvbagoMARWhUUFPTp08dxE1ZUVFT//v2FEHa7fefOnUZjw7stVCrVE088sXz58p07dzr2HD58+PDhw47t9evXJyUl6XS6kSNHTpw4MSws7NixY4sWLaqoqHC8+v777997772+vr7Lly+vrq6ePXu2j49Pamrqhg0bGpxo0qRJ48aN8/b23rZt24oVK4QQjWu++uqrjm6TkpLuvvtug8HQ+rcS9VksZhIKAAAAAADgFq4XcQ8ICDjfZaEOHjz43XffObZ///33vn37OrbHjBlz7bXXNnPgNddcI4RwpldNiY6OXrhw4fTp04UQd9xxh3P/tddeO3fu3A8++OCRRx4ZP378U0899fLLL99zzz3BwcH1D4+Njb3lllsef/zxyZMnO9IrlzVfeOGFrVu3rlixYuzYsaRXAAAAAAAAUuDiDiwhRFVVVSuXmjIajc7cyikzM9Mxi1Amk3Xu3HnhwoXNTCcMCwsrLi52bPv6+q5bt86xPXbs2PrDnKnTrl27Bg4c6Nz/5ZdfGgyGtLS0Bx988Ouvv9bpdDqd7tSpU1FRUTqdzjmsrq7Ox8cnODj43LlzLdYEAAAAAACAdLgIsKqqqtq8jruzgmMWoUwmc84rbIperw8LC3NsGwyGsWPH1o+xnBISEoYOHdq5c+fw8HDnBEMhhGMuoRDCZDKVlZU563h5edU/PDs7+7///e+8efMKCws/+OCD06dPN1MTAAAAAAAA0tEwwLrw9MrBOYvwt99+a3FkcHBw//79m4mQevfuPXPmzGXLluXn58fFxf3lL39pQ0tbtmzZvn375MmTn3vuuTlz5rilJpqi9vJSq9UKhetb/HAlq6urtVgsFjNLpAEAAAAAWqthvuCW9EoIkZmZ6ZgDuHbt2uZHVldXf/zxx88888yqVat+/fVXk8nUu3fvBmMiIyMrKytzcnKUSmViYqLVam1bV3a7PTc3d+jQoc3UNBgM0dHRcrncZrO17SxXMh9f38DAEI2vj9VisVqtNludpzuC5MjlCpVKpVKrTUZDhU5nMrLYHAAAAACgBS7uwHJLXWed5ucPOmzatKmsrOzOO+985JFHLBZLYWHh+++/X39Aenp6YmLiihUr8vPzd+/e7VwhvvXi4+OfeeYZjUZTWFj47rvvNlNz27ZtL7300meffTZz5kyTyXS+J7qSRWg7KBRKvb5Kpyv3dC+4DKjU6uCQEH9//9KSYk/3AgAAAACQNJlWq71IpaOiooQQRUVFF6k+hBChoaFCCL1e796yfn5+arW69ePlcnnXmO463Tkjd9PgPPn4+gUFBZ/MzXZ5z6PFYmnq4+3n5+f2Tz4AAADQnrj8nfl8v+4BbdbMF7o2uIhLFBFdXTm6xnQvOlMkmHSJ82c06GtMxuiY7rnZJzzdCwAAAABAouSebgCXvQhtB53uHOkV2sxms1VW6MIjL9bdoAAAAACAyx0BFi6Ij6+vQqFk5iAukMGgV6nUGh8fTzcCAAAAAJAiAixckKCgUL3ePQv/4wpXXVUZFBTi6S4AAAAAAFJEgIUL4u2jsVosnu4C7YHVauEOLAAAAACASwRYaDu1lxfpFdzIWmtVq7083QUAAAAAQHIIsNB2arXaarV6ugu0H1arlQf6AgAAAAAaI8BC2ykUSputztNdoP2w1dYqVSpPdwEAAAAAkBwCLAAAAAAAAEgaARZwJep99dWPPPywTCbzdCMAAAAAALSMAAtXikWLFgUEBMhksuefey44OLjBq8OGDZs2bdqF1JfL5bMefLB3794t9tCGAUql8rG5c6Ojo1vfj8tSvWJj3160qFds7KjRoz/7/HO73d76ggAAAAAAeIrS0w3gCvLsP/4RFRUlhDCbzWeKi3/55Zc9e/bYbLZL2YPdbn/t9dcvsMiI4cNNNTV79uypv9Nms/3344+THnigoKBAr9df4CkaqK2t/WjVqhn33bdi5Uqz2dy2IhqNJjEx8fXXX58ydery5ctrampEE9cCAAAAAICkEGDhknp/6dITJ04EBgbGdO06bty4rtHRn3z6aeNhMTExo0ePXrZs2aXvsDUiIiPPnDnTeL/ZbH5/6dKLdFK9Xn+BxU0m04f/+Y8QYmm9Ok1dCwAAAAAA0kGAhUvNbrdXVFQcPHSo8NSpfz777I87dlTodPNffvnpp592DJgze3aXLl2+3LhRCLFo0aJPP/309nHj/P399+7b98UXXwghOmi1U6dO7dSpU2FhYW5uro+v75o1axqcZeTIkUMTE9VqdfrevY6jnBYtWrRgwYKqqqrQkJCpU6dGd+165vTp3Nxc54DgoKApU6bExMSUlpUlJyefOnWq/uFzZs+OjY0VQtw5YcIz//jHK6+8kpqSMn78+O82b969e7ezuMvOhRDR0dG3jxsXGBi4/8CBlJSUxu/PVVdddfu4cWFhYVlZWWuSk41GoxBi8ODBI0eMCAoKysvL+/iTT6qrq2fPnp1x+PBPe/YIIby9vV995ZV5L73kGNzApIl02cN0AAAgAElEQVQTO3To8MGyZf5+fg2uq8G1mEwm51H/e3Oio4uLi3NyczUazZo1a/x8fRv8SaXt3n3kyJEW/9ABAAAAALgQrIEFjykrK8vLy+vevXvjlz797LOff/7ZsX39gAHvLlmy5L33bhg8uGvXrnK5/P777886fvy555//cuPG66+/vvHh0V263Hjjjf9auPDvzzzTIL1yksvlDz30UE5OzosvvvjFl18OGDDAuX/WrFknT5584cUXd+7c+bcZMxqsdP7+0qXpe/d+8eWXj86d60h8Ynv1WvDKK7t3725wigadO3YOHjRoyXvvvfPuuwOuu87ltQ9JSFj50UfzX35ZrlBMGD/esbNjhw7//fjjF158UQgxbOhQIcQvv/zSr39/x6txcXFZWVku06vExMRu3bqtWLnSZrM1vq7G1/J/b4LjzZk3b8MXXwy47jqX7yEAAAAAAJcGARY8qbKyUuPt3fyYrdu2VVVVnTp1Kisr66qoqC5duiiVys2bN5tMpry8vPT09MaH2Gw2by+vwMDAZsp26dJFLpdv/v57Rx1nXhYdHa1SqTZ//73ZbN6/f7+QySIjI5vvcPfu3fXTn6Y6d+zcsnVrVVVVUVFRVlZWhw4dXB5VXl6u1+s3bdrUt29fx84vvvyysLDQZDId+PXXiIgIIcSRjIwunTv7+PgIIa6Nj9+3b1/jUr179x42bNiy5ctNJtN5XVd0dLRSofh+y5Zm3mQAAAAAAC4ZphDCk8LCwk788UfzYyoqKhwbBoNB7eUVGhpaUlLifHyewWgMaBRUFRQWfvXVVw8mJZWUlKSkpJSWlTUuGxoaWlZvv9FkCgwKEkKEhIRERES8t2SJ86WgwMDi4uJmOtTpdK3pvMFgo9GoVqsbH3X27FnHRnV1tY+Pj0wms9vt8fHx1w8YEKnVhgQHHz9+XAhhtlh+z8y85pprfvvtt6ioqMyjRxuXun3cuG3bt1dWVp7vdYWEhJSWljb/JgMAAAAAcMkQYMFjYmJiOnbsmJmZWWM2q5RKpVJZW1srhGj+zimjwRAUFOT8MTQkxOWwn9PT9+7bN3rUqJkzZ77x5psu6hiN/1+d0FDHRlVVVX5+/qK33279hbj3QYo+Pj5VVVVCiA5a7blz5+x2e7eYmAnjx6ekpp45fbpHz579+/VzjDxw4EDCjTfKZbJDhw+77OGzzz6bPn16QUFBTk7OeV1Xwzfnzzf5vP6kAAAAAABwF6YQ4lKTy+WhISFDEhIemDkzJTW1urq6tra2vLx8+M03e3l5DUlICGkik3LIzcsLCgpKvOkmLy+vXr169fszzXHp1KlTSqXrlDYnJycwKCgxMdHLy+vqq6/uFxf3v/q5uYGBgUMSErz+vGeqMZPR2LFDB7n8ovzPZ+xttwUEBISGhEyYMCF9714hREhoaLVeX1hYKGSy+stRHTt2rGNU1IABA1zOHxRCnCoq+vzzz5MeeECr1TZ1XS6v5X9vzp9vctyfb7LLPymFQvHy/PnBQUFCiLmPPtqrVy8hxF133jl8+HB3vi8AAAAAgCsYd2Dhkpoze7bdbjcajbl5eSs/+sj57L/ktWunTZ06ctSoPT/9lJeX10yFmpqaFStX3j158u2333706NF9+/Z5azQNxvSKjZ0xY4aXl1dJSUnjBxQ6mM3mjz76aPKkSXfcfntmZuZPe/Y4bsKqra398D//mTxp0oQJE6xW6+GMjOTk5AbHpu/d+9CsWa+99tr8+fPb9j404+ixY/945hmZTHbgwIHt27cLIY5kZAy47rqX5s07c+bMwUOHevy59Lvdbj9y5EjPHj2Kioqaqvbb779v2bJl9iOPLF682OV11b8Ws9nsfHNWrlw5edKkO+644+jRoz///LMzVWz8JyWTyWRyuUwud2w7sjCZXC5z3REAAAAAAOdNptVqPd0D2s6Ruej1eveW9fPzc7k8UwOBQcFe3t5VlRXuPft5mX7vvYWFhTt27vRgDx40dcqU4uLii335w4YN69ChQ1NRoBsFBARaLJYK3TnnHovF0tTH28/Pz+2ffAAAAKA9cfk7cyu/7gEXrpkvdG3AFEJIyNNPPRVcb+ml5nl5eQ0cOPCaa6759eDBi9qVZPXo3r1v3777fvnF040AAAAAAHBxMYUQEtLKJcYfmzu3U+fOwm4vKipa/uGHjiXPrzR/+9vfYrp2/fSzz4xGo6d7AQAAAADg4mIK4eWNKYRoT5hCCAAAALgRUwjhWUwhBAAAAAAAwBWEAAsAAAAAAACSRoAFAAAAAAAASSPAAgAAAAAAgKTxFEJcOjfddFNiYmJgYGBBQcHatWtLS0uFEOHh4X+dNq1Lly5l5eXJycl5eXlNjRRCDBw4cPTo0aEhIaWlpa+/8UbjU7isFhERMXXKlE6dOp0+fXpdSkpRUVErD3TQaDTzX3pp06ZNP6ent+ao28aMueWWWxwDjh8//v7SpfUPGT1qVEJCgkajOX78+Odr1jieIdjU9QIAAAAAACGEws/Pz9M9oO18fHyEEBaLxb1l1Wq1QqFocZi3t0apVJrNNa0se8PgwSkpKZs3b44ID78xIWHfvn0ymezROXOOHj26avVqu90+8a670tLSbDZb45FCiPj4+FtGj16TnJySmpqWlta4flPV5sye/Xtm5qpVq1Qq1R133NH42KYOdLx625gxnTt3zsrKKjx1qjVHxcfH705LW7Fy5ebNm3/Zv7/BueL69k1OTt6xc2e/fv06dOx47Ngxl+9MK9/SdsbLy7uurq6mxuTcU1dX19THW61Wu/2TDwAAALQnLn9nbuXXPeDCNfOFrg2YQohLZ+26deXl5Waz+ac9e7SRkUKIqKgoPz+/zd9/bzQad+zYYa2t7datm8uRQoixt9320apVubm5dXV1Luu7rCaTyaKion766Sez2bxr166w0FCVStWaAx0vXXXVVTExMb///nsrTyeE8PX1rf7/HxQaGhKyYMECpVIphPhy40ZdRUV1dfWRI0eCAgObemcAAAAAAIATARY8oGvXroWFhUKIq6KiCgoL7Xa7Y/+pwsKIiAiXI8PCwpRKZUJCwqK33pr/0kuDBw1qXNZlNbvdnpGRcdOQIV5q9ZAhQ7KysqxWa2sOFEKo1eq/Tpu2LiXF9udLrTnKz9f3oVmz/vXmmw8mJYWGhgohhExW/0C5XN5Bqx00aNDeRndaOa8XAAAAAAA4sQYWLrWYmJhbb7nlPytWCCE0Pj4mo9H5kslkUimVLkeGhoYGBQVVV1U9/8ILXbp0eTAp6WR+vr66+o0/V8L6/PPPm6r23ebNTz311JgxY2pra//9zjtCCD9f39YcOHny5F/27z99+rTLC2nqqGXLl9fV1QUGBo4bO3bm/fcvfOuts2fPzps3zzEsLi4u6YEH7HZ7WlraiRMnmnpnAAAAAACAEwEWLqnExMRr4+OXLl169tw5IYTRYFB7eTlf1Wg01dXVLkfW1dXp9fotW7cKIU6cOJF59GjPnj3T0tIenTvXefiggQMbVwsMDJwze/bq1av/+OOPrl27PpiU9O933jl79myLB958881qlWrHjh1NXUtTzdfW1gohKioqkteuXfTWW/7+/s6LEkIcOXJk7mOPBQUFjRg+PCkpadmyZS6vFwAAAAAAODGFEJfO2LFjO2i17y5Z4sxoysrLr4qKcg7o2LFjcUmJy5Fny8vVarVc/r9PrN1ut5jNDeq7rNYrNra0tDQzM9NisRw/frywsLB3796tOXD4zTfHx8e/t2TJe0uWDBo4cOrUqXfdeWeLR9UfoFAoZDJZ4yXr7Ha7TqfbvHlzbM+ejitqfL0AAAAAAMCJAAuXSGhIyIABA1JSU51P9xNC5OXl2e32m4cN02g0w4YNM9XUFBYWuhypq6jIz88fP368RqOJjY3t2aPH0WPHGpzCZbVTRUWdOnXq1auXSqXq0aNHt27dGi8y5fLA51944dG5cx3/7fvll+Tk5A1ffNHiUUKIyZMnBwcFBQQE3H333UePHjWbzaEhIQteflmpVHbu1GnEiBH+/v6+vr4jR43Kycmx2WwurxcAAAAAADjJtFqtp3tA2znWCNf//8+8u3B+fn5qtbrFYYFBwV7e3lWVFa2p2adPn4dmzaq/Z8XKlUeOHNFqtTPuuy8yMjK/oGDNmjWlpaVNjfT3979v+vRu3boVFxdv+OKL7OzsxmdpXE0IER8ff+utt4aFhup0uu+3bNm/f38rD3S65557cnNyfk5Pb81RD8yc2atXL4vFkpmZuXHTJoPBEBoS8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ca4ebNmzk5OY6OjocOHbp169bPP/9c51Dbtm37+OOPCSHr16/fu3ev2jiaDkRtGoQQoVD4008/xcTE0Gi0/Px8tQPbV1RUbNu27dChQ3Q6vbS0tLS0VJdtVfs5KjEYDEII9d9CqbCw8Pz58xKJRFPyAAAAAAAAddahQ4cePXp4e3sTQtq1a9ejRw9fX19CCI/HW7x48aBBgyZNmkS1wKqsrAwICIiJifn666+Dg4OnTZv27Nmz2gFfvXoVERExdOjQb775RiQS0Wg0IyMjQsgvv/wyZsyYoKCg6dOnP3/+nBDy8uXLgIAA5SjGEyZMWLduXY1o1E537tw5adKkxYsXq41Twx9//OHu7u7l5RUfH29nZzdgwABqOYvFCg8P//XXX/V05uCdoYAFBnD27Nlr166NHz++srLyl19+yc3NHT9+/Nq1a1+8eGFmZkYIEQgEPB6PENKzZ087OztbW1sfHx9CSGFhoWocqqjUp08fNzc3qnBT51A1qI2jaeXaaVBatmzp6enp7u5uampKCKmqqqq9bcuWLTt06ODm5mZra0sIURaqtG/r6OhICElLS6MatRJClCW21q1bE0ICAwNv3bp18uRJLy+vu3fvXrhwQcvBAgAAAAAAaHLy5Ell98CtW7fqskl1dfWCBQvkcvn+/fv79eu3YsWKsrIy6qXY2Ng+ffps3LhRLBavXLmyxm/zUql04cKFVVVVGzdu7Nu37507d5QvVVZWfvvtt/v27RMKhTqmoXT58uU1a9ZER0frEicuLq5Xr16EkLFjxy5dutTS0lL5Us+ePXNycpSdb6CRoYAFBqNQKAghUqn0jz/+4PF4n3766YwZM5QVGXt7e0JIfHx8UVERn89PTEwk/yvcKNnY2BBC7ty5k5mZSUWrcyilly9faoqjSe00KMpiVo1WUao0raN92169ehkbG/P5/E2bNhUXF/N4vHXr1kkkEhcXF2pofGpDY2Njqo+hSCTSfggAAAAAAABqjRo1qk2bNoQQMzOz6dOn67JJQkJCVlbW3LlznZ2dp06dKhaLlcNgDRgwICQkpFu3bjNmzMjLy8vMzFTdMD4+vqCgYP78+V26dBk+fHifPn2UL82dO9fLy8vNzS0oKOjVq1fvdAj9+/d3c3PTMU5mZmbbtm3VxmnTpg2dTq+RMzSa/8fencdFVff//38PO8ywDAgCrhm4kaVYlkqpuaQSqGjuppe7XW4pYrnkTuaWaeVWbpcbRGqipSJ0ablc7hqouVBk4iAgyiLMDMx8/5hf8+EHwyIic8TH/dYfZ868z+u8zjh2g6fn/T5VugZWamrqyZMnDfeSJCcnv/zyy4bV3fBMkMlkBQUFer1eJpOVMkyv1xcUFJQS2Yh/1sAyaNeunSGM//TTT0WhXKl9+/br16+/fv268Zl9devWff311wvXMYz5+++/Bw8eLIRo1qyZ4cmDFSgl/smhNmzYcPz4ccMdsEXqlKR4Gx999FHphzwhZ2fnSZMmffbZZwcOHCh8d1VoaKhMJrtw4cKECROMO62trQ3/gAAAAAAAj8vS0nLChAmhoaHDhw93cnIqzyF3794VQhh+PzIwzoCpVauWYcPw+1dWVlbhA1NSUsQ/00qEEMa7n/R6fXR09NGjR2/fvn3v3j0rq8eLMjw9PctZJy8vLz8/3zAPpjiZTKZQKEqZnYOnquoCrLy8vKVLlzZq1Mjwjb927dq1a9datmxZzr8AMLvatWtbWlquW7eu9BXBHz58aGlpafy/UkksLCw8PT27d+8+aNCgtLS0y5cvJyYmvvfeeykpKYZF0B0dHVevXv3ll18mJCRYWVk1b958woQJ1tbWhYs4OzuvWrVq9erVV65csbCwaNSoUd++fStWSgjRv3//hISEW7duCSFM1ilJ8TZKv/ZKERQU5OrqunXr1ps3b9rZ2Wk0mtzc3IiICD8/Pzc3t4YNG/7111+WlpYvvvjiiBEjSvoHBAAAAAAo0xtvvNGvX7+QkJByjjeEU1u3bvXy8jLssba2NkxtMS77a7iPyRgtGRjWb0lJSTH81mn8RSw2NnbFihULFix46aWX9uzZY1iIyt7eXvyz2ItOpzNWLs54g4XJOoXZ2tpaWlqWFFHp9fqcnBy5XF7OzwGVq+oCrOTkZJ1ON3z4cMP9O3369Fm/fv3s2bMDAgIKD7O1tW3durW7u3uVNYZysrOzmzFjxq+//mpyLScjDw+PkJCQkh7wd+TIEZOHGNZNN/jkk08MG/Xr11+2bFnpXb344otF5i1XuFTt2rU3bdpUep3Cc7BLb6PwSONNUs7Ozsb99erVKzwmKiqq9GOLa9u2bdu2bQ3bN27cmDx58i+//PLRRx+Fh4dv3LixpKMAAAAA4HEVnuRRppYtW7q4uHz11VcjR44sKCj44YcfZs6caQiw9uzZ07hxYysrq61bt7Zo0aJIgPXqq6/a29uvXLly7NixV65cOXfunGGxYJVKZVgjJSkp6fDhw4bBHh4ezs7OUVFR3t7eR48ezcnJKbMxk3UKk8lkdevW/fPPPw3P+Cri77//LigoMEyoRNWrugBLr9dbWFgYZ5/JZLKBAwceOXIkPz+/8LDU1NSlS5fOnz+/pASkuMDAwG3btimVykruGMUYwilzdwETfH19WakdAAAAgBTI5fKlS5d+8cUXEyZMcHR0fPvtt41vde7cedOmTUlJSa+88krxpVdcXFwWLly4evXqDz/8sG3bth06dPjtt9+EEN27dz9x4sT06dP9/Pxat24dHR0thLC0tPzoo49Wrlw5ZcqUvn37ljkNqKQ6RbRu3frUqVNDhgwp/tapU6e8vLyMMxxRxWTGp549bbdu3Vq3bt2SJUtKH6bX66dNm/bvf//7hRdeKPJWaGioYfltox49ekycOPF5DrDS09NFORZpelzJycmVXhOogFK+inxLAQAAgNKZ/Jn5woULLVq0qPpmcnNzO3fuPHHixL59+1b92cvv3r17/fr1+/rrr5s0aVJ4f0FBwYABAwYOHNizZ09z9fbMqdwvm+SeQiiTySwsLHQ6XfG3li1bFhsbu337djs7u9jY2NjY2IkTJ5azbEJCwscff1ypnQIAAAAAgBINHTo0Li7O3F08Hg8Pj/Hjxy9ZsqTI8+g3btzo5eVV+IlkqGKSC7Aq5sqVK//617+Cg4O/+OILIURmZmZgYKDx3dDQ0I8//rjIYltCiMDAwNjY2EGDBvXq1evIkSOnT58eOHBgr169du3aZbLI8ePHDfs//fTT3r179+rV6+jRo1VxeQAAAAAAPGssLCxKf0K9NPXu3XvTpk1FHvw1atSoL7744lm8nGqj6tbAeqoOHTq0fPnyjIyMKVOmdOjQoX79+kUGTJ8+3bjcdWFnzpxZt27d6dOnV65c2bhx46+++io5OXnq1KnvvPOOpaWlyXPNnj27Xr163377bWpqamJiYqVfCwAAAAAA1UDhx2TZ29uX9FAsoDyqSXY4YMAAV1fXF198sWXLloaHcZZTnz59FArF22+/bW1tHRISolQq/fz86tWrd/v2bZPjr127lpqaOmnSJBcXF19f33feeadyLgAAAAAAAAAlqCYBlvHRm46Ojo+1LL2bm5thw8HBwfB4TsO2Wq02OT45Obl+/fol3ZwFAAAAAACASldNAqwi7OzsNBqNRqMxvLx//35lFVEqlcnJyZXVJwAAAAAAAMpUdQGWTCbT6XR6vb70YXq9XqfTPeG6aDY2NrVq1YqMjMzNzd23b19KSkplFXnppZcKCgq+/fbbzMzMq1evxsTEPEmfAAAAAABUJQcHh0ePHpm7C1R/jx49cnBwqMSCVbeIu7e3t4WFxcaNG52cnEoZlpmZaWFh4eXl9YSnmzJlyrJly3bu3BkUFNSkSZPKKmJtbf3pp5+uWrVq0KBBrq6uU6dOfcI+q6s8tVqtVufnF5i7EUiOlZWlra2tna2tuRsBAAAAnkcKhSI9Pb1ykwWguNzc3NLzn8cle6wVo55QamrqyZMnS1peysDW1rZ169bu7u5V1tUzLT09XQjh7e1duWWTk5MrVjMrOzstLSNXnWdtZWVjY2NlxWJhKCo/v0Cj0Wjz8+3tbGu4uTkq5KUMLuWrWOFvKQAAAPCcKOln5osXL3p4eLi7u1tbW1d9V6j2Hj16lJeXl5SU1KJFi0osW3V3YAkh3N3dg4ODq/KMT06tVo8bN27dunX8xS7TnbsqjUardHWuaV3D3L3gGaDRatPS07Oysry9PM3dCwAAAPAcad68eVpa2u+//67Vas3dC6ohBwcHJyenyk2vRBUHWM8iW1vbjRs3mrsLqdPpdL9fv+nm5qp0cTZ3L3hm2Fhb1/Rwz8rOufr7jcYNfWQymbk7AgAAAJ4XNWrUqFGDOw/wLKmeTyFEFbt+41atOrUUpc4FA0xyVMhr1/K6dv2muRsBAAAAAEgXd2DhSd25q3J1VVo92YMj8TyztLR0Vbokq1K8PWuauxcAAADguZCTk5OVlaXT6czdCKoha2trGxsbZ+dKnqFFgIUnkpWdrdFomTmIJ+ToqEi5l5aVne2oUJi7FwAAAKCau3fvnrW1tYeHhwU3IuAp0Gq1OTk5d+/e9fLyqsSyfFnxRNLSMpRK0itUAqWLc1rafXN3AQAAAFRzOTk51tbWSqWS9ApPibW1tYuLi1wuz8nJqcSyfF/xRHLVeTY8nxGVwdraKk+tNncXAAAAQDWXlZVV6XO7gOLkcnl2dnYlFiTAQsXlqdXWVsxCReWQyWSWVpZqtcbcjQAAAADVmU6n494rVAFLS8uCgoJKLMi3BVxxDgAAIABJREFUFhWnVqttbGzM3QWqD1tb27y8PHN3AQAAAACQHAIsVFx+foGVlaW5u0D1YWVhkV+pCT0AAAAAoHogwAIAAAAAAICkEWABAAAAAABA0giwgPLSarWjR436+/ZtczcCAAAAAChNZGTk4sWLzd0FKhMBFlAGtVo9buzYzz77bM/u3UHBwbXr1CkyIDgoKCMjQ6fTjRo58t69e4adFy9cGDJ48NmzZyt20t27d69YseKJ+i7W4dMYDAAAAKB6GDZsWEBAQEBAQGBg4JIlS7RabZH9AQEBw4YNK3zIypUrg4ODCz9pzji4S5cuo0eP3rNnj06nM771/vvvFzlpampq+/btt23bVua5ACtzNwA8nj/++GP7tm0XL17Mzc318PDo1q1b3379nuoZt2zZMmrUqPMXLnh5e7/55pslDbOwsNjwzTeG7Uc5Ofv371+3bl14eHijRo0cHR2faodP7rvISAe5PDAw0NyNAAAAADCblStXtmzZ8u7du5988klERMTgwYON+1999dUig7VabVxcXN26dY8fP/7WW28VKZKamhofH79u3br4+PjZs2cb3srIyDh9+nSrVq2MgyMjIxUKRZEeip8LEARYeLZcvHBhwYIF/fv3HzlqlKOj4/Xff//vf//7tE86evRoIYR/y5blP8RBLp81e7YQYuGiRU+rrUp1+++/69evb+4uAAAAAJiZTCbz9vYOCAi4XdbaKUePHm3YsOFbb721f//+wgGWoYiHh8fbb7/dsGHDoUOH9uvXr2HDhkKIDh06REREGAOsnJycmJiY1157rZy9derUafr06evXr8/JyZk8ebKTk9OyZcsePXo0aNCgQYMGCSHu3r27ePHihISEF198sVmzZo998ZA2CU0hTE9PT09PN3cXkC6tVrtkyZLx48e/17evp6enXC5v4e//4ZQphnfT0tIWzJ/fp3fvAf37r1+3zni/a3BQ0M9xce8PGdI7JCQuNvbMmTNDBg/uHRISGRFR/BQRu3b179evZ8+e69auLb2sScbJd6mpqTM+/rhnz57//uCDmzdvCiEyMzODg4KMI8PCwk6cOFHkcJVKFRYWFhwUNGnixNTUVOP+kno4dPDg8OHDg4OCwsLCHjx4YOzh+PHjw4cP71XoKoQQV69eHTFiRM+ePVevWlXkvGFhYQd/+mntmjVdOnfOyckpPrg8zQMAAACoBvR6/a1btw4fPlwkkypu//797dq1e+utt86cOVP495fCateu/dJLL126dMnwsmPHjomJiX/88Yfh5b59+zp06ODg4FD+9v73v/9t2rRpypQpy5cvj4iIWL9+/WefffbNN9/cv39fp9OFhYU1b958796948ePj4mJKX9ZPBMkEWDp9frNmzfPnj179uzZmzdv1uv15u4IUvTb5ct6vb7D228Xf0un082aObN2nTqbt2xZtnx5QkLC9u3bje+eOXt2zdq14ydMWLV69ffff79q9er5CxZs2bKlyEpP165dO3DgwNdr1uzdu3fM2LFlli2JTqebPWtW06ZNd+7YERISsmjhQuOs7zKPerlZs527do0eM+bnuLgyL+2PP/6YMWPGzl27ZDLZ999/byx1JCZm+fLlS5ct++ngwYSEBMPOw4cOLV26dMWKFXFxcZcvXy586iVLlnTt1m3suHGHY2LkcnnpgwEAAABUV5MnT37zzTcnTJgwZcqUtm3bFt5vWJfqyy+/NOy5e/fuhQsX3nzzTRcXl2bNmv34448l1axRo0Z2drZh28rKqk+fPhEREUKI/Pz83bt39+3bt3gPRc5VWL9+/RQKRadOnWxsbN577z1XV9dmzZrVr1//r7/+SkhI0Gq1//rXvxQKRbNmzYIK/Rs8qgdJBFhnzpy5ceNGeHh4eHj4jRs3zpw5Y+6O8HSp8/ISExNvFZKYmKjOyyv9qNTUVG9vb8N2Tk5Ol86dDf8JIa5evapWq4cNG6ZQKGrVqjV6zJjYI0eMB/bu3Vsul3fo0MHG2rpXr15KpdLPz69u3bpF7om1tLR89OjR/fv3jXtKL1uSq1evarTawUOG2Ds4dOzUSSaTlXnzreGo/Pz8wUOGyOVyPz+/bt27l9nD2HHjfHx85HL52x06FH424oCBA5VKpY+Pz6stWyYmJhp29h8wwNXVtUGDBi1btkxKSiq9mccaDAAAAKB6WLly5YEDB5o0aXL8+PEi+3/99ddff/11/Pjxhj0//vhjs2bNXFxchBAdOnQ4cOBASXei3Llzx8PDw/iyR48ev/76a0ZGRmxsbOPGjb28vIr3UORchbm5uRk2HBwc3N3dDdtyuVytVqtUqrp16xpHOjk5Pda1Q/oksQbW3bt3vby8DF/9evXqGZ/jhmopNTV1xfLlBQUFlpaWxp2Gl1OmTjX+P6g4haOj8cZUuVx+OCYmJyenV8+eQoh7KSm1a9eWyWSGd729vQvnUK6uroYNBweHGjVqGCtoNJrC9X19fUeMHDnnk09q1a49ceLE2rVrl162JPdSUv6+fduQrBmkp6Uplcoyj6pdu7bxpaOjo2FGbSk9HDt2LC429q+//kpJSfH39zcea/wMHR0djbFgzZo1i+8syWMNBgAAAFBtODs7f/LJJwMHDuzcuXPTpk1NjtHpdD/++GNKSkpAQIBx5/nz51sWWzj4t99+S0xMbNOmjXGPQqHo0qXL3r17f/nll9DQ0Ers3MnJKSUlxfgyOTm5EotDCswfYCUkJPzvf/97+PChYTXuq1evdunSpYp7CAwM3LZtW5kRAyrF6dOnX3zxxREjRxpDGSGEXq//9ptvTp8+XcqD8Jo1a5aRkXHh/PkWhcIaA7caNe4kJ+v1ekPN5OTkwhl/+XXr1q1Lly47d+xYMH/+uvXrK1ZWqVQ2btx41erVhXdq/mFjYyOEKB6EOTo5FY5uVXfvln5p8fHx69etmzBxYr169S5dvPjrr79W4HrLyc7OrvTmAQAAAFQbzs7OI0aMWLZs2TfffGNhYWLa1pkzZ7Kysg4ePGh8gODs2bOjo6ONAZZOp0tJSTl16tTGjRunTJlS5Hftfv36DR8+vG7duiUFZIXdvXt3/PjxO3fuNPwyUoqXX345LS3tu+++CwwM/O23344dO1b4cYeoBqp6CmF2dvbhw4cPHz6cnZ2dmpq6Zs2ab7/9tlOnTiNGjDh16tSpU6eGDh1a+tPQEhMT58+f36tXr65du77//vu7du16Sq2OHj26Y8eOHTt27NWr14oVK4qs3v3ll1/26dOnoKDALL090+rXr3/9+vXIiIgb168b9ty4fj0yIuL69eul/9E7OTkNHzFi0aJFhw8dysjIyMvLi4+PN7xl+B/f5s2bs7Oz7969+82GDYHvvlux9mQymY+vr+HmrIqVbernl56eHh0dnZuba9xpY2PjXatW1Hff5ebmRkdH3yv0LwMGfn5+6enpe/bsyX306OzZs8ZbdkvqIUWlcnZ29vHxEULE/fxzxS7WSC6X//HHHyWt1VVm8/n5+UMGDzbcHzdt2rRzZ88KIdZ8/XXUd989YWMAAAAAql7Pnj0LCgp++OEHw0vjulQBAQEFBQX79+8PDg42pldCiKFDhx47diwzM9MwuF27diNHjjx16lR4eHjXrl2LFK9Zs+Zrr702YMAAk6cuci4hhPGf80tnb2+/aNGi6OjooKCg/fv39+jRo2LXDsmq0juwsrOzw8PDDXO4Dh06pNFoWrVqNW/ePEdHRyGEf7Hbaoq7cOHC/Pnz+/fvP3r0aIVCcf369Z+f+Ff3UixdurRFixYqlWrBggVRUVHGv2Barfa///1vnTp1Tp48abxnsop7e3b5+fkNHTZszddfJyYmfjxjhhDi8uXLv/zyy7gPPvDz8yv92F69erm7u38XGbl69Wpra+u6detO/vBDIYSVldWiRYu+XL168ODBTo6OXbt2DQkJedzGzp87Fx4enpubW7du3amhoRUua2NjM2/+/C9Xr16/bp2NjU1AQIDhUYmTJ0/+fMWKXbt2Bb77buMmTYocZW9v/8mcOV+uXr3x229ff/31wMBAVUpKKT20DQj4+eefhw0dWq9evfbt2xuf61ExXbt2nT1rVt/33vvPf/5jckDpzev1ep1OZ8i/9DqdvtDOJ+kKAAAAQJXZvHmzcdvCwmLLli3F9xssWLCgyB4fH5+4uDiTg03Wnzt3rnF72rRpJscYeHl57d6927B9pNCSxBGFHitvXO69efPmW7duLakBPOtkeVW4wM3hw4fj4+OnTJkihJgzZ07Tpk379etX/sO1Wu3gwYMNN0YVfzcwMHDSpElr164dNmxYcHDwwYMHd+3alZqa2qRJk1mzZhkW2AoMDJw7d+769etVKlWLFi1CQ0MN67oFBgbOmDHjm2++SU9P79ix46RJk4QQo0ePHjt2rCFW+89//qNSqYx/r+Li4mJiYgICAk6cOLFo0aIye3t6DMskGZc2ryzJycnlqZl+PyNPrVa6OFfgFN9HRQkhevfpU2Qbz7OMjAd2dnZurv93g3EpX8VyfksBAACA55bJn5n5QRpVpnK/bJJ4CmE5Xb58Wa/Xl5IQnTt3buvWrcHBwUKIxMTEmTNnRkREyGSyqKgo45i9e/fOmzdv27Zter1+zZo1xv2HDh1avnz5559/HhcXd/nyZeN+vV6fmJgYGxtbeHW6n3766c033wwICDh37lxaWlp5esNzKCws7C8e4QcAAAAAwBOr0imEbdq0+e9//7tixQohRHZ29vHjx9Vqda9evQxTCMuUmppqjO6ys7ONM1pjY2MNG4Vn4X7wwQeGjY4dO548edJYZNCgQYYio0aNMtxpZTBgwABXV1dXV9eWLVv++eefL7/8svjnVkYnJ6fZs2cbZziqVKpLly7NmjXL2dnZz8/v4MGDgwcPLrM3FFZQUHDv3j1fX1/DS2dn5xs3bhR5LmE1sGTJEnO3AAAAAABAdVClAZZCoZgxY8aJEyeEEKNHj87NzY2KipozZ05gYKBSqTx8+LAQomvXrs2bNy/pcMMq0Ybt2NjYwlGREKJmzZrG7aNHj8bGxiYlJaWkpBR+lqeXl5dhQ6lUZmdnG1eD8/T0NOx3dHQ0TqtcunSpj49PeHj4yZMnjQHWoUOH/Pz8nJ2dhRDt2rWLjIwcNGhQmb3B6NrVqzt37rSzs3ujdWvDnjdatz5z5sz8efMGDhzYqHFj87YHAAAAAACkpkoDLCGEQqHo0qWLcXvcuHEJCQk7dux48ODBe++9J4TYsmWLi4uLyafRvfzyyxkZGefPny9puXfj/Tvx8fFr166dNGlS/fr1L168+MsvvxjHPHz40PAIz6SkpJo1a5b5LAMnJ6cZM2YMHTq0Y8eOjRs31ul0Bw8evHfvXuHZghcvXiyzNxjk5eVt2LAhpHfvN954w/jnpVAowqZPP3Xq1Pr16xeFh9vZ2Zm3SQAAAAAAICnmXwPLz8+vVatWTZo0ad++ffv27Zs0aRIfH29ypJOT08iRIxcsWHDo0KGMjIy8vLySRqpUKhcXF8MMtSKT+DZt2pSRkaFSqdauXVv8cZ4lnXfYsGErV67U6XTnzp3Lzs7+4YcfYv/Rrl27H3/8sfy9Pefu3LmjVqs9PT3//PPPW7duxcfHx8fH37p1688///T09FSr1Xfu3DF3jwAAAAAAQFqq+g4sk7y8vE6fPv3gwQMhRFJSUklTCIUQISEh7u7uERERX3zxhY2NTZ06dQzPNCwiICAgLi5uyJAh9evXb9++/aVLl4xvtWrVasyYMQUFBR07duzfv385OwwKCtq/f//+/fsvXrwYGBhoXGlLCDFo0KDx48dnZmaWs7fnnKNCIYT4ZsMGw0u1Wi2EsLW1LTIAAAAAAADASGZc78mM9Hr9li1bTp8+LYRo1arV0KFDy5zZVzGBgYHbtm0zTCGsHtLT04UQlf4M1HI+6jL9fkaeWq10ca7wib6PihJC9O7Tp8IVUJ1kZDyws7Nzc/2/v6GlfBV5+i8AAABQOpM/M/ODNKpM5X7ZJHEHlkwmGzZsWFBQkBDCzc3N3O1Auvbt27d3z560tLSGjRp9+OGHtWrVEkLcuXNnxfLl165d8/L2/vDDD/38/EoaKYQ4EhOzY8cOlUpVu3bt9f/cCFaYyWp/3769cuXKGzduvPDCCxMnTWrQoEE5DyzzjBU43c4dO6Kjo3MePWrRvPnU0FDDQzxLul4AAAAAAKoB86+BZeTm5kZ69byRyWQWFo/xJfwjMXHhokURkZENGzb8/PPPhRB6vX7B/PnNmzePiIzs3r37/HnztFqtyZFCiGPHjkVEREwNDd0XHW0yvSqpWnh4uL+//65du95q127hggXlP7D0M1bsdJlZWV+sWrVly5aCgoId27eX9MkAAAAAAFBtSCjAqgIHDhyoTvMHq4F3unbt8s475R8/afJkb29ve3v7d99996+kJCHErVu3Hj58OHjIEIVCERISYmtrG//bbyZHCiE2b948a/ZsPz8/KyvT9x6arKbX6xMTE98NCrJ3cOjRo0dycrJh6a4yDyzzjOU/nUqlGjRwoEajEUKMGTPG3d3dxcWlTdu2qampJX0yAAAAAABUG89XgAWpkcvlcrm8AgdevXLFx8dHCJF461bDhg2Ni6b5+vr+/f9/jqFxZHJyslajObB/f4/g4PeHDDl86FDxsiaryWSygICAfT/8kJeXt2/fPn9//8KrzpdyYJlnfNzTGUcWFBT8lZR0+NChrt26lfTJAAAAAABQbUhiDSzgsSQkJGzbtm3evHlCiOycHHmhBxc6yOWFb48qPDJFpUpNTVUqlbt27fr999/nzJnTqHFjpVLZp3dvw+DQ0NCSqg0eMmTihAlbt261trZe8fnnQojMzMwyDzR5xnr16hmHlf90np6e23fsMAw7ceLE3DlzZDJZz549X3nllZI+GQAAAAAAqg0CLDxj9uzZc+zo0U8XL/b09BRCOCoUebm5xncf5eS4/jNLtMhISysrZ2fnAQMHCiGat2jRqlWrS5cuBQcHH46JMR4ec/hw8Wrp6enTw8Jmzpr1yiuvXL1yZe6cOZ+vXOnp6VnmgSbPWDjAMtl8SaczDmvTps3BQ4fS0tIiIyLmzpmzKDzc5PUCAAAAAFBtMIUQz5JNmzb9lZS0bPlyY0bjXatWYmKicUBiYmLdevVMjvTy8lJrNAUFBYaXMpnMrthMQJPVzp87V6dOnddff93Ozq6Fv7+Pj8+ZM2fKc2CZZ6zw6SwsLDw8PN4fOvTChQs6nc7k9QIAAAAAUG0QYOGZoVKpfo6LmzBxoqWlpXFn06ZNZTJZVFRUTk7O7t27HRwcfHx8TI50d3dv1KjRNxs25OTkXDh//uLFi6+1alXkFCar+fj63rh589zZs2q1+tLFi/Hx8cUXmTJ5YJlnLP/pVCrV4EGDNBrNjRs3IiMiHjx4kJmZuWvnzpeaNbOwsDB5vQAAAAAAVBuyvLw8c/eAiktPTxdCeHt7V27Z5OTk8tRMv5+Rp1YrXZwr9+wl+d///jd71qzCe+bOm9emTZu/kpLCw8Nv377dqFGjqaGhtWrVKmlkRkbG4sWLE+Lj69atO3bcuJdffrn4WYpXE0IcO3Zs69atKSqVu4fHoIEDO3bqVM4DyzxjOU+nUqmmTpmyecuWrKysxYsX/37tmo2NTctXXx0zZoxSqSzpeivyKZtVRsYDOzs7N9f/e1RoKV/Fcn5LAQAAgOeWyZ+Z+UEaVaZyv2wEWM+25yrAQrVHgAUAAABUIgIsmFflftmYQggAAAAAAABJI8ACAAAAAACApBFgoeKsrCzz8wvM3QWqj3ydzop16AEAAAAAxRBgoeJsbW01Go25u0D1oVar7ezszN0FAAAAAEByCLBQcXa2ttr8fHN3geojX5tva2tj7i4AAAAAAJJDgIUnYm9nq9Fqzd0FqgONRutgb2/uLgAAAAAAUkSAhSdSw80tI+OBubtAdXD/wYMabq7m7gIAAAAAIEWVHGAlJSX9/vvvlVsTUuaokNva2GRl55i7ETzbMrOy7W1tFQq5uRsBAAAAAEhRJQdYixcvXrlyZeXWhMR5e3mmp98vKOBxhKig/Pz8Bw8eennWNHcjAAAAAACJqswA6+HDh4aNzMzMSiwL6WvSyPdOsiorK9vcjeDZk5mVfSdZ1bihj7kbAQAAAABIV9EA60myp/Pnz/v4+Pj4+Jw/f/7Juvr/6HS6ESNG3Lt3z7hn5cqVBw4cqJTiT7Xm80YmkzVu6FOg06XcS9NotHq93twd4Rmg0WhV91L1Ol2TRr7m7gUAAAAAIGlWRV7v2LFj4MCBTk5OFah1/vz5li1b6vX6c+fOtW/f/rGOTUxM3LZt24ULF3Jzcz08PLp3796/f38LC4tvv/3WOObkyZPW1taBgYEV6K0kxWtGRETI5fJ33323Es/ynPD2rJmVnZ2Wdj9Prba0srS1tbWy4CkBKCpfp1Or1fnafAd7ew83N9a9AgAAAACUqWiA9fDhw4plWA8fPkxMTBw1apRer4+KisrMzCx/hQsXLsyfP79///6jR49WKBTXr1//+eefiw9r3bp169atH6urMhWvefv27RdeeKFyz/L8cFQoHBUKIYRarcnLy8tnYSwUY2VpaefubmtrY+5GAAAAAADPjKIBlnjMDCsnJ+enn37S6/UnT55s0KCB4ZAGDRqcP3/ecBNWUlLS6dOnhRAWFhZdu3aVy4vebaHVahcvXjx+/PiOHTsa9vj7+/v7+xu2AwMDt23bplQqDx48uGvXrtTU1CZNmsyaNcvFxcXw7pQpUzZu3Pjo0aN///vfTk5OK1euzM3N7devX//+/YucaOfOnbt371ar1d26dRs3bpwQonjN0NDQCxcuCCG+/vrrH374QaFQlP+jRGG2tjYkFAAAAAAAoFKYnuH18OHD8i8LJZPJhBCtW7fu06ePYY+/v/+5c+cM21FRUadOnRJClLQu0uXLl/V6vTG9KkliYuLMmTMjIiJkMllUVJRx/5kzZ9atWzdhwoRVq1ZFRUV99dVXCxcu3Lx5c0ZGRuHDr127tn///nXr1u3bt8+QXpmsuWzZsm7dun3wwQexsbGkVwAAAAAAAFJg4g4sIYSzs3M5l5qSy+W9e/custPf398wi1Cv1ycmJn766ael3MyVmprq7e1t2M7Ozu7Ro4dhOzY2tvCwDz74wLDRsWPHkydPGvf36dNHoVC8/fbbX331VUhIiFKpVCqV9erVu337tlKpNA6zsLB49OhRenq6q6trmTUBAAAAAAAgHSYCLGdn5wqv426sYJhFqNfrjfMKS6JQKFJTU43bsbGxhWMso6NHj8bGxiYlJaWkpLRs2dK4383NzbDh4OBQo0YN47ZarS58eMOGDUeNGjV79uzatWtPnjy5du3apdQEAAAAAACAdBQNsJ48vTIwziIsMxh6+eWXMzIyzp8/b1z3qrj4+Pi1a9dOmjSpfv36Fy9e/OWXXyrQUvfu3d95553t27fPmzdvw4YNlVITJclTq9VqdX4+i7ijKCsrS1tbWztbW3M3AgAAAAB4ZhQNsColvRJC+Pv7R0ZGCiFGjRpV+kgnJ6eRI0cuWLBg7NixrVq1sre3j4+PLzJGpVK5uLj4+vpqtdrY2FgbmwquDi6TyXx9fY8cOVJKTYVCkZiYqNPpLCxMLxCGUmRlZ6elZeSq86ytrGxsbKysLM3dESQnP6dAo0nX5ufb29nWcHNzVBR9sAMAAAAAAEUUDbAqJb0SQjg7O5e/YEhIiLu7e0RExBdffGFjY1OnTp0pU6YUHhAQEBAXFzdkyJD69eu3b9/+0qVLj9vPuXPnFi5cmJubW69evbCwsFJqdu3adebMmb17996+fbuDg8Pjnuh5dueuSqPRKl2da1rXMHcveAZotNq09PSsrCxvL09z9wIAAAAAkDRZXl7eUyqdlJQkhKhXr95Tqg8hRHp6uhDCuAp+ZUlOTn6smjqd7vfrN93cXBXcTYPHlJWdc/9+RuOGPobnmRZRylfxcb+lAAAAwPPG5M/M/CCNKlO5XzbTTyGsFERXz4/rN27VqlPLikmXeHyOCrmDvd216zebNPI1dy8AAAAAAIkiccCTunNX5eqqJL1ChVlaWroqXZJVKeZuBAAAAAAgUYQOeCJZ2dkajZaZg3hCjo4KtVqTlZ1t7kYAAAAAAFJEgIUnkpaWoVQ6m7sLVAdKF+e0tPvm7gIAAAAAIEUEWH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" alt="Workspace ▸ Cowork"></div>
+<p class="rg"><b>Lịch sử</b>: chat gom theo project; nhãn đậm = tên project, <b>chỉ là nhãn</b> · <b>Hội thoại</b>: bong bóng theo trục thời gian · <b>Files</b>: tệp đầu ra, gập được · <b>Composer</b>: Enter gửi · /skill · /agent · <b>Hàng dưới</b>: thư mục sandbox (chỗ thứ 2 lộ project) · model · Định tuyến · Tự chạy</p>
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i on">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="r tb"><div class="ttl">Gom số liệu doanh thu</div><div class="s">qwen2.5-coder</div><div class="grow"></div><div class="btn">Skills</div><div class="btn">Cuộc trò chuyện mới</div></div><div class="r grow"><div class="c grow chat"><div class="msg u">Có 6 file Excel trong thư mục input, gom lại thành 1 bảng tổng hợp giúp mình.</div><div class="msg a">Đã đọc cả 6 file. Lưu ý: <b>PB_Marketing.xlsx</b> để cột “Doanh thu” ở cột F thay vì D và có 3 dòng trống ở cuối.<br><br>Mình đã chuẩn hoá và xuất <b>tonghop_q3.xlsx</b> — 1.284 dòng, tổng 42.7 tỷ VND.</div><div class="grow"></div></div><div class="c w22 pane"><div class="hd2 row">TỆP ĐẦU RA (3)<span class="pchev">›</span></div><div class="li">tonghop_q3.xlsx</div><div class="li">BaoCao_Q3.pptx</div><div class="li">README.md</div><div class="grow"></div></div></div><div class="r tb"><div class="inp grow">Nhập yêu cầu…  (Enter để gửi)</div><div class="btn">📎</div><div class="btn pri">Gửi</div></div><div class="stat">Agent: qwen2.5-coder · Định tuyến: Tắt &nbsp;·&nbsp; ↓292.8K ↑102.7K · $0.31 &nbsp;·&nbsp; 📁 bao-cao-tai-chinh-q3</div></div></div>
+<details class="ctl"><summary>Kiểm kê control — <b>26</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>Skills</td><td class="mut">nút</td><td><code>self._open_skills_manager</code></td><td class="mut">ui\cowork_tab.py:30</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Cuộc trò chuyện mới</td><td class="mut">nút</td><td><code>self.new_session</code></td><td class="mut">ui\cowork_tab.py:34</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thư mục Local…</td><td class="mut">nút</td><td><code>self._pick_output_folder</code></td><td class="mut">ui\cowork_tab.py:48</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Model/agent riêng cho tab này — độc lập với tab kia</td><td class="mut">droplist</td><td><code>self._on_agent_changed</code></td><td class="mut">ui\chat_panel.py:165</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Nén</td><td class="mut">nút</td><td><code>self._compress_messages</code></td><td class="mut">ui\chat_panel.py:177</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thu gọn bảng Files</td><td class="mut">nút</td><td><code>lambda: self._set_io_collapsed(True)</code></td><td class="mut">ui\chat_panel.py:239</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>app_icon('link</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\chat_panel.py:439</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>app_icon('edit</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\chat_panel.py:440</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Nhấp đúp để xoá một tin nhắn khỏi hàng đợi</td><td class="mut">danh sách</td><td><code>self._remove_queue_item</code></td><td class="mut">ui\composer.py:406</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Bấm trên thẻ để gỡ tệp đính kèm nhầm</td><td class="mut">danh sách</td><td><code>self._remove_attachment</code></td><td class="mut">ui\composer.py:420</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td></td><td class="mut">nút</td><td><code>self._pick_attachments</code></td><td class="mut">ui\composer.py:443</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>composer.queue_btn') if self._busy else 'composer.send</td><td class="mut">nút</td><td><code>self._on_submit</code></td><td class="mut">ui\composer.py:446</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Dừng</td><td class="mut">nút</td><td><code>self.stop_requested.emit</code></td><td class="mut">ui\composer.py:450</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Gỡ tệp này (đính kèm nhầm</td><td class="mut">nút</td><td><code>lambda _=False, path=p: self._remove_attachment_path(path)</code></td><td class="mut">ui\composer.py:599</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thu gọn bảng Lịch sử</td><td class="mut">nút</td><td><code>self.collapse_requested.emit</code></td><td class="mut">ui\sidebar.py:104</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tìm theo tiêu đề hoặc nội dung…</td><td class="mut">ô nhập</td><td><code>self.refresh; self.refresh</code></td><td class="mut">ui\sidebar.py:119</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td></td><td class="mut">nút</td><td><code>self.refresh</code></td><td class="mut">ui\sidebar.py:123</td><td class="mv">→ lên sidebar cùng RECENTS</td></tr><tr><td>—</td><td class="mut">cây</td><td><code>self._on_item; self._context_menu</code></td><td class="mut">ui\sidebar.py:132</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Làm mới</td><td class="mut">nút</td><td><code>self.refresh_requested.emit</code></td><td class="mut">ui\sidebar.py:147</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>sidebar.menu.unpin') if pinned else 'sidebar.menu.pin</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\sidebar.py:305</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Đổi tên…</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\sidebar.py:306</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xóa</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\sidebar.py:307</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>sidebar.menu.delete_selected', n=len(selected</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\sidebar.py:332</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>title</td><td class="mut">nút</td><td><code>self._toggle_body</code></td><td class="mut">ui\chat_view.py:228</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tự động định tuyến model cho khung chat này.
+Tắt: luôn dùng </td><td class="mut">droplist</td><td><code>self._on_changed</code></td><td class="mut">ui\routing_toggle.py:66</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tự chạy</td><td class="mut">ô tick</td><td><code>self._on_toggled</code></td><td class="mut">ui\routing_toggle.py:133</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Hàng dưới composer nhồi 5 control + usage/cost + nút thư mục (<code>chat_panel.py:142-181</code>).</li><li>Không có lối tắt “chat mới” — phải chọn project → mở nav → Cowork.</li><li><b>Màn duy nhất thấy được History.</b></li><li>Ba pane bóp vùng đọc hội thoại còn chưa tới 60% bề ngang.</li><li><b>Biết project nào, nhưng không đổi được.</b> Project hiện ở 2 chỗ (nhãn nhóm Lịch sử, nhãn thư mục đáy) — cả hai chỉ là nhãn. Đổi phải quay về tab Project (<code>workspace_tab.py:323</code>).</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li><b>Bộ chọn project lên sidebar</b> — nó là trạng thái toàn cục (<code>ctx.active_project_id</code>), không phải của riêng màn nào.</li><li><b>Bộ chọn project + nút “+ Đoạn chat mới” đặt cạnh nhau</b> ở đầu sidebar: chọn project rồi bấm, không rời màn. Nút cũ trên toolbar <b>giữ nguyên</b>.</li><li>History lên sidebar, <b>vẫn gom theo project</b> + mục “Tất cả project…”.</li><li>Usage/cost xuống thanh trạng thái; vùng gõ chỉ còn nhập · đính kèm · gửi.</li></ul></div>
+</div></div></section><section class="sec" id="workspace-co4e">
+<div class="hd"><b>6. Workspace ▸ Co4E</b><span class="tag">ui/co4e_tab.py:228</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Xưởng dựng workflow node-graph. Lưu toàn cục, không theo project.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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alt="Workspace ▸ Co4E"></div>
+<p class="rg"><b>Sidebar</b>: 3 tab icon: Workflows · Agents · Skills — kéo thả được · <b>Dải tab</b>: Flow Status ghim + mỗi workflow một tab · <b>Canvas</b>: node và cạnh · <b>Phải</b>: cấu hình bước đang chọn</p>
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i on">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="r tb"><div class="ttl">Quy trình phát triển tính năng</div><div class="grow"></div><div class="btn">+ Bước</div><div class="btn">Auto ▾</div><div class="btn pri">▷ Chạy</div></div><div class="r grow"><div class="c w26 pane"><div class="hd2 row">WORKFLOWS<span class="pchev">‹</span></div><div class="li on">Quy trình phát triển tính năng<span class="s">5 bước · đã lưu</span></div><div class="li">Rà soát bảo mật định kỳ<span class="s">2 bước · đã lưu</span></div><div class="li">Dựng báo cáo từ Excel<span class="s">3 bước · đã lưu</span></div><div class="hd2">AGENTS (5)</div><div class="li">Phân tích yêu cầu<span class="s">ANALYST</span></div><div class="li">Thiết kế giải pháp<span class="s">ARCHITECT</span></div><div class="li">Lập trình viên<span class="s">CODER</span></div><div class="li">Kiểm thử<span class="s">TESTER</span></div><div class="li">Soạn tài liệu<span class="s">WRITER</span></div><div class="hd2">SKILLS (5)</div><div class="li">Rà soát bảo mật · Viết test trước · Chuẩn hoá Excel · …</div><div class="hd2">LẦN CHẠY (6)</div><div class="li">✓ Quy trình phát triển<span class="s">5/5 · 08-08 15:32</span></div><div class="li">✕ Rà soát bảo mật<span class="s">3/5 · 08-06 16:32</span></div><div class="li">■ Dựng báo cáo từ Excel<span class="s">1/5 · 08-04 18:32</span></div><div class="grow"></div></div><div class="c grow"><div class="b canvas grow"><div class="node ok">Phân tích yêu cầu</div><div class="arw">→</div><div class="node ok">Thiết kế</div><div class="arw">→</div><div class="node run">Lập trình viên</div><div class="arw">→</div><div class="node">Kiểm thử</div></div></div><div class="c w26 pane"><div class="hd2 row">CẤU HÌNH BƯỚC<span class="pchev">›</span></div><div class="li">▾ Cơ bản<span class="s">Lập trình viên · CODER</span></div><div class="inp">Hiện thực theo thiết kế. Viết test trước khi sửa logic nghiệp vụ.</div><div class="li">▸ Model &amp; quyền<span class="s">qwen2.5-coder · full</span></div><div class="li">▸ Skills &amp; tệp<span class="s">Viết test trước</span></div><div class="li">▸ Agent song song<span class="s">chưa có</span></div><div class="grow"></div></div></div></div></div>
+<details class="ctl"><summary>Kiểm kê control — <b>52</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>—</td><td class="mut">danh sách</td><td><code>lambda _i: self._accept()</code></td><td class="mut">ui\co4e_tab.py:144</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>×</td><td class="mut">nút</td><td><code>lambda: self._close_flow_tab_button(btn)</code></td><td class="mut">ui\co4e_tab.py:341</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Chạy</td><td class="mut">nút</td><td><code>self._run_selected_in_background</code></td><td class="mut">ui\co4e_tab.py:459</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mới</td><td class="mut">nút</td><td><code>self._new_agent</code></td><td class="mut">ui\co4e_tab.py:476</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Quản lý skill…</td><td class="mut">nút</td><td><code>self._manage_skills</code></td><td class="mut">ui\co4e_tab.py:493</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>tip_key</td><td class="mut">nút</td><td><code>slot</code></td><td class="mut">ui\co4e_tab.py:502</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">dải tab</td><td><code>self._on_flow_tab_changed; self._close_flow_tab</code></td><td class="mut">ui\co4e_tab.py:556</td><td class="mv">→ bỏ; chọn workflow từ danh sách trái</td></tr><tr><td>＋</td><td class="mut">nút</td><td><code>self._new_workflow</code></td><td class="mut">ui\co4e_tab.py:582</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>self._wf.name</td><td class="mut">ô nhập</td><td><code>self._on_name_changed</code></td><td class="mut">ui\co4e_tab.py:631</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thêm</td><td class="mut">nút</td><td><code>self._add_blank_step</code></td><td class="mut">ui\co4e_tab.py:636</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Lưu</td><td class="mut">nút</td><td><code>lambda: self._save(as_template=False)</code></td><td class="mut">ui\co4e_tab.py:639</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Auto = mỗi bước tự lập kế hoạch rồi chạy · Plan = chỉ lập kế</td><td class="mut">droplist</td><td><code>self._on_mode_changed</code></td><td class="mut">ui\co4e_tab.py:645</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Chạy</td><td class="mut">nút</td><td><code>self._on_run_clicked</code></td><td class="mut">ui\co4e_tab.py:650</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>short</td><td class="mut">nút</td><td><code>self._open_workspace_folder</code></td><td class="mut">ui\co4e_tab.py:693</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Dừng</td><td class="mut">nút</td><td><code>self._stop_selected_run</code></td><td class="mut">ui\co4e_tab.py:701</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Đổi tên</td><td class="mut">nút</td><td><code>self._rename_selected_run</code></td><td class="mut">ui\co4e_tab.py:706</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xóa</td><td class="mut">nút</td><td><code>self._delete_selected_run</code></td><td class="mut">ui\co4e_tab.py:710</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xóa đã xong</td><td class="mut">nút</td><td><code>lambda: self.manager.clear_finished()</code></td><td class="mut">ui\co4e_tab.py:714</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>0</td><td class="mut">bảng</td><td><code>self._open_run_from_table; self._runs_context_menu</code></td><td class="mut">ui\co4e_tab.py:722</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thu gọn bảng cấu hình</td><td class="mut">nút</td><td><code>self._toggle_config</code></td><td class="mut">ui\co4e_tab.py:747</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mở rộng khung tin nhắn</td><td class="mut">nút</td><td><code>self._toggle_messages</code></td><td class="mut">ui\co4e_tab.py:841</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Gửi</td><td class="mut">nút</td><td><code>self._chat_send</code></td><td class="mut">ui\co4e_tab.py:873</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>icon('edit</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_tab.py:1014</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>icon('edit</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_tab.py:1015</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>icon('branch</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_tab.py:1016</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>icon('play</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_tab.py:1017</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>icon('trash</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_tab.py:1018</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mở flow</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_tab.py:1400</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mở thư mục output</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_tab.py:1404</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Đổi tên</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_tab.py:1405</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xóa</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_tab.py:1406</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>step.label</td><td class="mut">ô nhập</td><td><code>self._on_edit</code></td><td class="mut">ui\co4e_config_panel.py:44</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>step.role</td><td class="mut">ô nhập</td><td><code>self._on_edit</code></td><td class="mut">ui\co4e_config_panel.py:48</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">ô nhập nhiều dòng</td><td><code>self._on_edit</code></td><td class="mut">ui\co4e_config_panel.py:60</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Soạn bằng AI</td><td class="mut">nút</td><td><code>self._ai_draft</code></td><td class="mut">ui\co4e_config_panel.py:63</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thông tin/ngữ cảnh bổ sung cho agent hoặc step này (thêm vào</td><td class="mut">ô nhập nhiều dòng</td><td><code>self._on_edit</code></td><td class="mut">ui\co4e_config_panel.py:77</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tải danh sách model</td><td class="mut">nút</td><td><code>self._load_models</code></td><td class="mut">ui\co4e_config_panel.py:87</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._on_edit</code></td><td class="mut">ui\co4e_config_panel.py:97</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tự kiểm tra</td><td class="mut">ô tick</td><td><code>self._on_edit</code></td><td class="mut">ui\co4e_config_panel.py:104</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">ô số</td><td><code>self._on_edit</code></td><td class="mut">ui\co4e_config_panel.py:106</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Đính kèm tệp</td><td class="mut">nút</td><td><code>self._add_attachment</code></td><td class="mut">ui\co4e_config_panel.py:125</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Bỏ</td><td class="mut">nút</td><td><code>self._del_attachment</code></td><td class="mut">ui\co4e_config_panel.py:128</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">danh sách</td><td><code>self._edit_subagent</code></td><td class="mut">ui\co4e_config_panel.py:141</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thêm</td><td class="mut">nút</td><td><code>self._add_subagent</code></td><td class="mut">ui\co4e_config_panel.py:144</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Bỏ</td><td class="mut">nút</td><td><code>self._del_subagent</code></td><td class="mut">ui\co4e_config_panel.py:147</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Chạy</td><td class="mut">nút</td><td><code>lambda: self.run_node.emit(self._node_id)</code></td><td class="mut">ui\co4e_config_panel.py:159</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Chạy từ đây</td><td class="mut">nút</td><td><code>lambda: self.run_from.emit(self._node_id)</code></td><td class="mut">ui\co4e_config_panel.py:163</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xóa bước</td><td class="mut">nút</td><td><code>lambda: self.delete_node.emit(self._node_id)</code></td><td class="mut">ui\co4e_config_panel.py:166</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>＋ Add next step</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_canvas.py:188</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>→ Connect from here</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_canvas.py:189</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>🗑 Delete step</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_canvas.py:190</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>🗑 Delete connection</td><td class="mut">menu chuột phải</td><td class="mut">—</td><td class="mut">ui\co4e_canvas.py:368</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li><b>Bốn lớp điều hướng chồng nhau</b>: nav → tab icon sidebar → dải tab flow → panel phải.</li><li>Dải tab flow lặp lại danh sách Workflows ngay bên trái.</li><li>Panel cấu hình 11 trường dọc, phải cuộn.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Bỏ dải tab flow; chọn workflow từ danh sách trái.</li><li>3 tab icon → 3 mục có nhãn cùng danh sách.</li><li>Còn <b>2 lớp</b>: chọn trái → sửa phải.</li></ul></div>
+</div></div></section><section class="sec" id="workspace-folder">
+<div class="hd"><b>7. Workspace ▸ Folder</b><span class="tag">ui/folder_tab.py:238</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Duyệt tệp + nhờ AI sửa. AI <b>không ghi đè</b> — đề xuất diff, bấm Apply mới ghi.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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GjlvIpSUlJOXTokKenp5eXl56e3uvXr58+fdrYhbq6urq6ujZGzpMmTSKE1O+7vB7y8/OtrKxUT5dkYGDg6+vbOPVqRKo07ePHj8nJyU5OTnTK7du32Wx245XYeJq3dFlyR3gLqWS9d4f27dt/9dVXhJAVK1Y0vLgmZmRktHbtWkLIqlWrGq+Uhje2hXRXE2i8Q6uuru7SpUsJId9++62KqzRlt9e1rIyMjBs3bqxevbrxqtTaaWtrL1u2jDTy3r1ly5bGy7zh6jeGle+GSvJUMixnzJgxY8aM27dv5+bmqv1/1rqel5aWlnbq1ImOMdWPbIuYTKbsYFO+Cby9vakXkZGRJSUlU6dOVbH06dOnE0IkT9Vq1cIPMnJHCIPBWL58uZK1OBzOixcvNm7c2CR1/P/59L6XJ06cuGnTpt69e+OXODSqhgawZBkYGEyePFkqUSwWr1u3Lj8/v1OnTlIfBQYGOjg4zJkzh3p75syZ+/fvHzt2jHr76NGj48ePnzhxQu31BEJIdXX18ePHZ8+e3b9/fyrF0dGRviigpKTk7Nmz6enpmpqa/fr1mzp1KvVV7ePjM2/evMuXL1dUVMyePVtPTy8kJEQgEIwdO3bMmDFSRfB4vPPnzyclJYlEorlz5/bp0ycqKuqvv/4qLi7u0qXLN998Y2hoKHcxJZl079593bp1hw4doj7duXPnsGHD3N3dFVW4TplTn2ZlZYWFhX348KF///5z584lhMhWe+fOnSkpKYSQc+fOHThwgA7QSKWrmBvVsYsWLbp06VJpaenAgQNnzpxJZSi7uiQfH5+lS5deunSpsLCwe/fu3t7e+vr6VPqcOXMuXrw4ceLEYcOGKdmaQUFBRkZGxcXFv/32W2ZmpoWFxfz5821sbGQ75++//5bbZCm9e/cODw+nz4oqKiqePHkieZJUa2XoJVXpTKmWym2I3A7ncrmnTp3KysqysrLq0qWLbEOkSl+7dq2KXSq7HfPy8k6ePJmdnd2xY0d7e/vy8nL6pFNyUyrfs+SWqGgctpCxIVm9HTt2BAYGyu65ddodVB8YcqutqLFSG0Juv8ktpR6VlypLdsm//vrr9u3bVVVVVIqScdi3b1+5B0PlW2ft2rXUlq3TGJaqlVRDVDmQ8ng8ubWt9y4jS9HmUPE7a+fOnX379h00aBA1VAIDA3fv3r1y5UrVdwTJ75emPIDUukfIdv7r16+pX7BSA1JJXynagsq/ZGVHjup7jZKjdE5ODrWTOjo6ent7UxfEye3ViIiIFy9eUPGU48ePm5ubjx8/XqrVkptG+aGv3sNVxTMZuZ0jVdtmP7BLDjzZXSY6OlpJE5R/KcgdlpLDwN7enk5X11lfXc9LDx8+TP3Xe+XKlRMnTsieusjtW1VapPqppmTzeTweIcTIyGjx4sVSBSkamfXoupZ8kKnrCJF0586dkSNHUpditKidixBy+vTpvLy8NWvWrFixQvawI7cae/fu7dOnz4ABAwghmzdv9vDwoC7wXL16dWBgIJ2z3BoqOt4qGkWymTCZzKFDh969e3fatGmyzQFQl/+bAyspKemRjKSkJLUUw2AwmEymSCSS/eizzz579uwZ/TY6OrqgoIC+hTguLq5v375qqQPISk9PF4vFdPRKkkgk2rt3b/v27bdv375+/frMzMzr16/TnyYlJW3atGnOnDm///57RETExo0bV65ceeXKFdk7q3/55RcWi7VlyxZfX9+qqipCyNu3bxcvXrx7925CSEREhKLFlGdSpwrXI/NHjx75+fmtX7/+yZMn6enpcqvt6+s7cODAWbNmnThxQvKLRzZdldwojx8/9vf39/f3f/jwYWZmpqLKSImMjFy2bNmOHTvEYrHkXJ7JyclBQUHDhg1TvjUJIWKxeN++fXZ2drt27friiy8OHTpE7a1SnaOoyVL69u377t27d+/eUW///vvv3r1701df1loZSap0pmRLFTVEtsOp5mO4bQAAIABJREFUJR0cHHbv3j1jxownT56oUrqKXSq1HcVi8aFDh5ycnPbu3Ttz5sx//vlHUXuV7FmKSlS+UZp9bEim6+rqym11nXYHRZtGamDIrbbqY09RvzVwX5ZLaslXr17dv39/06ZNBw8epE5SlYxDRXmqsnXqNIZla6W8REXdpWInqL7LSFG0OVT8zurXrx89G9HTp0979+5N3xOq4o4gmVtTHkBUPFRKWrhwodwbplT/fqcp6QS5I0fFvUb5UZreSUUiEbWTKurVESNGlJaWpqSkvH379tWrV7L/tBF5+5SiLS63nqoMV1XOZJR0jty2N/uXvtxdRnkTlH8pyA5LqWFAd68az/rqel66ZMmSUaNGTZ48We7/60pGjvIWya2Jok0g2fygoCA7O7vhw4d369ZNqiC5I7N+XddiDzL1GCGSkpOTe/ToQb9tOTvXnTt3MjIyVqxYQUXHpA47iqrh7OycmppKCCkrK/vw4UNaWhohJD8/X19fn74qSm4NFR1vFY0iRc3s2bNny58mElq7/wtg2djYJCYmRklITEyU/dNA7fr375+WllZeXk4IKSsry8/Pd3d3p0NasbGxVACLy+Vu3rx58uTJ06dPP3z4sFAopBbw9PSMiIiYMmXKtWvXJLPdv3//2rVrhULhuXPnvLy8JkyYQIfzPT09Y2JiFi1aNH78+MDAQHrK+Vu3bs2fP9/T09PX1/fDhw9UYllZ2fbt26dOnTp58mRqcsfCwsL169dPmDDBx8cnIyOjsfunURUXF5ubm1Ov+Xz+gn8RQrKysqqqqiZPnqynp2dubj59+vTHjx/TK44cOZLNZvfr14/FYo0YMcLIyMje3r5Dhw5SDzF5/fp1cXHx3LlzDQ0NbWxsqD8EZs2a1bFjRzab3b9/f2p5uYspz0SWogrXL/Nx48YZGRlZW1s7OztTgRjZaqtO9dyoJW1sbJycnN6+fatoddn8zc3NDQwMvLy8EhIS6PRhw4ZRZ4fKtyYhJDMzUygUTpgwQUdH57PPPmMwGPn5+Sr2vCwNDY3hw4dT5141NTWRkZGSMwvUWhnl5PYG3VK5DSHyOjwrK6u6unrChAm6urpdunSh/kCulYpdKrUds7KyhELhxIkT2Wy2nZ2dkrKU7Fn167eWNjbkqtPuoKSlkgNDbrVV70NF/dbAfVlJzeklmUymQCCgv4PkojefXA08ZtajVqofSFXsBNV3GSmKNoeK31m9e/fOyMjg8/mEkJiYmM8//5z+SC07QmMfQCSp3vlSVOwrmvJOkDtyVNxrlB+lZXdSRb3KZDJnz559+fLlixcvzp49W+5tX7L7lKJvE7n1rHUDqT5UVDnZaDkHdrm7TEPOl2QpGgZqPOur63mpckpGjvIWya2Jkm6Rav6DBw9kl5E7MuvXdbJayEGmriNEUnV1dXV1tWT8qIXsXC9evIiIiFi9ejV9XJI97MitRs+ePamgVWJi4pAhQ169eiUWi9PT052dnZXXUEk3yh1Fisa5qalpSUmJ8tYBNND/fYsbGhp++eWXZ8+epeLfRkZGX375peyly2pnbGzcqVOnhISEAQMGxMTEuLu79+zZ89mzZ6NGjSosLORyuT169BCJRP/73//69++/Zs0aKqJETchH5RAbGxsSEkLf4kEIuXz5cmJi4p49e7Kysm7cuHHkyBETExPJQq9evbp582Y9Pb2dO3ceOnTI39+fEPLq1asNGza0b99+8+bNly5d+vrrrwkhAQEBHTt2PH78eGFh4atXr0Qi0YYNGzw8PAIDAx8/fvzDDz+cOnWKyWzowxybi56eXnFxMfWazWafOHGCz+dT94oXFRVZWFjQs5uZm5tL/jFCXymto6NDR/R1dXWl/hUpKCiwtLSU6p+YmJgnT57k5+dzuVzqdkW5iynPRJaiCtcvc3rA6OnpUY2SrbbqVM+N7kx9ff3KykpFq0tp27Yt9cLQ0LCiokIsFlP9YGpqSqUr35rUAhwOh4pdUj58+MDj8VTpebmGDh26fv36srKypKQkW1tbuoaqVEY5ub0h2VLZhlhaWsp2OJfLtbCwoBfT19dXHjKQLUhJK6S2I5fLbdeuHb2wkrKU7Fnl5eX16LcWODZk1Wl3UERqYMit9sePH1XsQ0X91sB9WS6pJW1tbadNm7Z///727dvPmTNH7pOh6M0nVwOPmfWoleoHUkXqvctIUbQ5VPzO0tXVdXR0TEhI6Nq1K4/Hk7wVRS07QmMfQCSp3vlSVOwrmvLxJnfkqLjXKD9KS+6kfD5fLBYr6dVu3boxGAyBQKDo61t2n1L0bSK3nrVuIBX3SqLayUbLObDL3WUacr4kS9EwUONZX13PS5VTMnKUt0huTZSUItV82VGnaGTWr+tktZCDTF1HiCQ+ny919VML2bnCwsI8PT3btGlDp0gddhRVw9zcXFNTs6CgIDEx0dPTMzMzMzc3Nz09XfLpakpOkOgUuhuVjCJF41xbW7uqqkpLS0vFxgLU1f/vbyg6hkUIaZroFeWzzz57+vTpgAEDnj592rdv3x49egQHB4tEotjYWDc3NxaLlZycLBAIvL29GQyGgYGBj4/Ptm3b6ADWhAkTJKNX0dHRYWFh+/fv19fXZzKZfD6/qKhIKoA1e/bsDh06EEIWLVpET5dITc5KCBk+fDh1hWRaWlphYeHu3bs1NDTatGljb2+fnJxcVVVFzTc8YsSI33//PScnx9bWttH7qHE4ODiUlZWlpKTIfk0aGxsXFBTQB+7CwkLlP5nkMjAwKCgokEzJyMi4ePHinDlzLC0t09LSqEvtZBdTngl1ZBQKhdTNHVSkX1GF65q5XHKrXW/qzY0QwuPxqLOBvLw8U1NT+muG/qasdWsaGRl16tQpICBAMjElJUWVzpFLV1e3f//+9+/fj4uLo/YXmlqGlhS6pXIbIrfD9fT0JP8jKiwsrFNBdWpF/cqSUr9+a1FjQ+6eq/bdQUm109PTVexDRf0mpZEqP2jQIA8Pjxs3bvz6669yJ3imN5/cLlXxsF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alt="Workspace ▸ Folder"></div>
+<p class="rg"><b>Cây trái</b>: hệ thống tệp thật · <b>Viewer</b>: code / HTML / PDF / ảnh / bảng tính · <b>Panel AI</b>: yêu cầu → plan → diff → Apply · <b>Terminal</b>: shell thật, không qua sandbox</p>
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Trạm sạc EV — Cổng vận hành</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i on">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Trạm sạc EV — Cổng vận hành</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="r tb"><div class="ttl">Thư mục</div><div class="s">…\workspaces\tram-sac-ev</div><div class="grow"></div><div class="btn">Sửa</div><div class="btn">✨ AI</div><div class="btn pri">Lưu</div></div><div class="r grow"><div class="c w26 pane"><div class="li">📁 src</div><div class="li">　📄 main.py</div><div class="li">　📁 billing</div><div class="li on">　　📄 session.py</div><div class="li">📁 tests</div><div class="li">　📄 test_stations.py</div><div class="li">📄 README.md</div><div class="grow"></div></div><div class="c grow"><div class="b code grow"><span class="cm"># billing/session.py</span><br><span class="kw">def</span> <span class="fn">close_session</span>(sid):<br>&nbsp;&nbsp;s = repo.get(sid)<br>&nbsp;&nbsp;s.ended_at = <span class="kw">None</span>  <span class="cm"># ← lỗi tính tiền</span><br>&nbsp;&nbsp;<span class="kw">return</span> bill(s)</div></div><div class="c w28 pane ai"><div class="hd2 row">✨ AI SỬA TỆP<span class="pchev">›</span></div><div class="msg u">Sửa lỗi tính dư tiền khi phiên bị ngắt đột ngột.</div><div class="msg a">Lấy mốc heartbeat cuối làm <b>ended_at</b>.</div><div class="diff"><span class="del">- s.ended_at = None</span><br><span class="add">+ s.ended_at = last_heartbeat(sid)</span></div><div class="grow"></div><div class="r tb"><div class="btn">Bỏ</div><div class="btn pri">Áp dụng</div></div></div></div><div class="stat">▸ Terminal — bật khi cần</div></div></div>
+<details class="ctl"><summary>Kiểm kê control — <b>15</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>self._root</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\folder_tab.py:265</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mở thư mục</td><td class="mut">nút</td><td><code>self._pick_root</code></td><td class="mut">ui\folder_tab.py:267</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>folder.edit') if not self.mode_btn.isChecked() else 'folder.</td><td class="mut">nút</td><td><code>self._toggle_edit_mode</code></td><td class="mut">ui\folder_tab.py:299</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>AI Edit</td><td class="mut">nút</td><td><code>self._toggle_ai_panel</code></td><td class="mut">ui\folder_tab.py:304</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Lưu</td><td class="mut">nút</td><td><code>self._save</code></td><td class="mut">ui\folder_tab.py:309</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mở bằng app ngoài</td><td class="mut">nút</td><td><code>self._open_external</code></td><td class="mut">ui\folder_tab.py:315</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>len(rows</td><td class="mut">bảng</td><td><code>—</code></td><td class="mut">ui\folder_tab.py:534</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mô tả chỉnh sửa… (vd: thêm xử lý lỗi</td><td class="mut">ô nhập</td><td><code>self._ai_send</code></td><td class="mut">ui\folder_tab.py:736</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Gửi</td><td class="mut">nút</td><td><code>self._ai_send</code></td><td class="mut">ui\folder_tab.py:740</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Hủy</td><td class="mut">nút</td><td><code>self._ai_discard</code></td><td class="mut">ui\folder_tab.py:752</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Áp dụng</td><td class="mut">nút</td><td><code>self._ai_apply</code></td><td class="mut">ui\folder_tab.py:755</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>terminal.expand_tooltip') if self._collapsed else 'terminal.</td><td class="mut">nút</td><td><code>self.toggle</code></td><td class="mut">ui\terminal_panel.py:85</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">ô nhập nhiều dòng</td><td><code>—</code></td><td class="mut">ui\terminal_panel.py:105</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Chạy</td><td class="mut">nút</td><td><code>self._run_current</code></td><td class="mut">ui\terminal_panel.py:130</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mở bằng LibreOffice</td><td class="mut">nút</td><td><code>self._open_external</code></td><td class="mut">ui\libreoffice_view.py:97</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li><b>Năm vùng cùng lúc</b>: path · cây · viewer · panel AI · terminal.</li><li>Hàng nút viewer trộn 5 chức năng khác loại.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Path bar gộp vào tiêu đề.</li><li>Panel AI thành lớp phủ phải; terminal xuống đáy dạng thanh mỏng.</li></ul></div>
+</div></div></section><section class="sec" id="workspace-graphrag">
+<div class="hd"><b>8. Workspace ▸ GraphRAG</b><span class="tag">ui/structure_graph_view.py:188</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Đồ thị tri thức về cấu trúc mã/tài liệu + agent hỏi đáp trên đó.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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+5rr702xIRnzJixbt26ZDJ5xRVXNDQ0HDt2bLAJT5ky5amnnpo6derixYubmpqeeeaZkpKSyy+/fP/+/f272NALn3Kf5GZVVFT0vve978CBA01NTVEUFRYWLl++/KWXXurt7T1x4U2bNnV1dfX09OzYMcClMbFY7JJLLjl48OCmTZuqq6uXL1/+5JNPZvt9P1r/Lfaf5HB2b26ZU54wA37A/sdi6LWam5uHOGeGGO2U+7//aTz8dcdLIupNxLJNPYMmnY6+guKCbJTti6KCU45WWBBbfcd7evuyv/2D/WVFBd/88LQHbqv50D/sG9Mpj4FxCFiLLpjR0tbxP1avj6Losx++Zs/BY2s2vDL81ZOJgns+ecNfPbh29Qtv/83Z+NqbG197M/f6yXs/d++Da7/w4Sv//ucbfvT0y7dctuBTNyw/r6Js6+6Df/L91Y2tHbllvvLdn3/+Q1dMnzzxhR1v/sU/P9bS/vY/QAtnTrvzQ++bPLF09cbXvvbDJ/MbzWazB44df3rr7trzKvJvXrN4zo79R596+Y1bL6/LBayh5wYAABCOAwcOLFy4MJFIZDKZ6dOn19fXV1RUxGKxXBlpamrat29fUVHRYKtXVFQUFxevW7eur6+vu7s7d6VP/vqahoaGIR7HXlFREY/Ht2/fntvQ3r17h3hm9mALV1ZWFhQU5N7v6empr69ftmzZ0AFr586dXV1dXV1dR48eLSsrO3bs2GAT3rVrVyaTaWhoWLhw4e7du3NrtbW1lZaW9g9YQy98yn3y+uuv51Y5cuTIxIkTc33nkksu2bZt2ykvgjtJZWVlPB7PHcH9+/dfeOGFEyZMaG1tPeUW+09yOLt3mCfMgB+w/7EYeq0oioY4Z4YYbej9P+BpPMx1x1Emivdlo0Rs4MurYlF2cqL7lY6J2Vj8xCe5//bSib+9dGL/5d8/p3TBeUVX/ffdz+zpiKJodlXhvTdXTyop6B7m5VtnSyjPwBq+pRfUxGKxfCHqb8VFtR/7s++3daajKLpg+qR7Hlh94K2Wr3765k9ct/T+f3sut8xHr1r8X/7+Zx1d6a/81sq7PnLV//1Pj+beX3XZ/M9//ceVZSXf/P2PPrp5x4s7377/MxaLzZ5WddOKi77xP5/Nb+hD76t7dPOOp1/e9aXbrjmvYsKR5rZTzg0AACAQmUzm6NGj1dXVx44dSyaTjY2NNTU17e3t+QXS6fQQAau0tLS1tfWke8qmT59eU1NTVlZWXFz81ltvDbZuSUlJ7i65nJ6eniEC1mALFxcXnzjbjo6OU35zXP6x4ul0uqCgYIgJp9Pp3ItMJpNfK5PJ5NY6ydALn3Kf5ItYT09Pfvzy8vLm5qGeqzOg4uLiCRMm3Hrrrfl3UqlU/4DVf4v9Jzmc3VtSUjKcE2bAD9j/WAy91tDnzBCjDb3/BzyNh7nuOEpnCxozRbNSbS+1V/X/6bziluKC3l1dE3r/Y4B6ek/H1391M2BZUfy7t9XkXs+qSkZRtP3o2zdI7jyWjqJoennh7sb0GfsEozEOAWvrzjeXXfSe37rxsiiKSoqLFl1wfiIRf2rza7lbCE/pvIoJDb96PFZZcdGjX/tfc68v++LXcy9+9PTLuXoVRdHf/Pjp3IvVL7x25cJZ+UG+v+aFhrdaoii676fPfPt/vz3//gOrN751vP2t4+0btu+dPW1SLmB94wsfiaLoeEf3//Xdn+cvp5o2qXzZ3Jo/fuAXTW2dL+8+ePOl8x9YvfGUcwMAAAhHQ0NDTU1NUVHR/v37oyjq6ekpLv71N46VlJQMsW53d/dJC1RVVS1YsGDr1q2tra2TJ0+eNm3aYOueVB+G3tBgC3d1dZ24YnFxcUfHyL6Sa/gTHrVRb+KRRx4Zxea6u7ubm5uffvrpEa014CSHs3tHdMKcphGdM3mn3P/9T+PhrzuOerNRZ298Tqq9X8DKzipqW1lxeHNb5eGe4ug/PsF9X3PPQ68cz72eXPrrzNfQ0hNF0QWTkm+1d0ZRNLsqGUXR3qaw6lUURfGzv8mOrvT3f/bMGw1H32g4+nc/Wfudf/tlcTL52Q9fs2LBrHnvmfa7t1z5u7dceWFt9WCrt3V2T614+zH7rZ3dl33x6zd8+b+fuMDhpl/X5fdfPPdrn73lwXs+9eWPX1eY+PXhOXDs7csCm1o7JxQnY7HYSeu2dnSnkm/XvS/e95Mb7/67+j2HTkxgt1w6/+VdB5vaOqMoeuLFnR+6vC4Wi51ybgAAAOE4dOhQZWXl1KlTcwGrsbGxqKho1qxZiURiypQp+d/YS0pKVq5cGY//h98fGxsb4/H4/PnzCwsLKysrZ8yYUVJSkk6nczdh1dTUDLHdpqamVCrVf0MjWjh3e13u6emlpaV1dXV79+4d0ccf/oRHbdSbuPrqq6uqBri4ZmiNjY2pVGrmzJmJxAiuVhlwksPZvYOdMGfCiM6ZvFPu//6n8dDrxmKxlStX5rLd+973vilTpkRRtHDhwjlz5pz2RxyBoljfeYVd8Vj29sn77pj6xmVlb11UfHxhSfNvVDV8dPL+Az2lm9uquvuG+/2Dj+5s392U/uaHp79/TumHF5R9+erJ/7C5+Xj3GH/N5ekbn1sIO7rSG155I//6R0++MLtm8o2XLy4rKXrs+VejKFp15ZLWNV0DfhHhizsbqspLVlw0Y7BnS+W/EHDJnOlf/MiV9/5w7RsHjy2fe/51Sy/IL1Nekjp2vCOKolnTqg41tvZ/pt1JWtq7/us/rP7BH/3Omk076vccisdjqy5bUF1Ztv4bd+WXWT73/FPODQAAIBx9fX1HjhwpLS3N3QiWyWReeOGFRYsWzZ8///Dhw3v37j3x+pr+665fv37RokU33HBDV1fXli1bmpuba2pqrr/++tbW1gMHDkyePHmwdXt6ejZu3Lh48eLchvbt21dYWDjShbPZ7PPPP79o0aKVK1em0+l9+/bt2rVrRB//4MGDw5zwqJ2FTZyor68vt08WLFjQ19d38ODB/Pf0jXSSw9m9IzphTtOIzpm8U+7//qfx8NeNxWL5q2HyL86Cglh2+YRj5xd1FBVk93cXR1FscWlLcTyTycaO9SQfba7e3TWhtTdx0uVXQ+js6fvAd/b+7a3THvrkjPZ03w+3tnxl9ZEz+hFGJ3bhb9y968iBUy84Eh/8w+9GUfTI/3vHiNa65uKLzqsqf/DxjVEUffja5W81HX9my+sDLvnxa5f+3o0rvvHTZ9e/uqeju2fZBTV/9b99KHeb3pP3fu62P/t+Lk59cMW8j1+79P/4u4cTiYKv/Ob705neL33r33LLbNi+7//54ZPJwsRf/N4Hn96663urN5607t2fuP7No83//Pjmf7z7N7/+k2dyQeq2q5fcetn837v3B5dcVPvVT9/8oXu+k79X8aufvjnT2/fHD/xiiLmdIRcd33TincBjZc+ePWM+JgAAcHYsXLgwiqJkMjneExmWiy++uKWlZZj5aUQLc656554G6XS6/6/wzQt/q2XRbw9zhHiUXVzaVJPs3NQ+qa23IJuN4rFYPOrLRlEmG+/OFvRmz15NG9DErf9c8cr/GPNhA3qI+1strQtmTy8rSUVRNG1S+Y69Bwdb8gdrXzrS3Pbb71/25duv7e7J7D3c9N/+9Yn+i619+Y0b3nvhQ3/yn3YdPPbY5teXzT0//6N1r+594Mu/WRCPrXnhtX98bNMwZ/jjp1/+yBULP3LFomVza3767Cv5ehVF0fd+sfE7//n28pKiYc4NAACARCIxbdq06urqbdu2jXrhpUuXNjQ0HD169IxNkxG75ppr1q1bl3+8/Rga0TlzTuqLYi+3V77SUZkZ71B1lgV0BVYsFq26Yknd7Jooil7Z1fDzZ7ec6sa+UTrxSqtzgCuwAACAk4R/BdYVV1xRUVGRzWZbWlq2bduWe+LSmCzMuercOA1O/wqs8J37V2Bls9G/P7Pl6Zd2RFHU0tY53tMBAADgTHn22WfP0MKcq5wG73IBBawc6QoAAACAEwUXsM6C6/7zN8d7CgAAAAAMV3y8JwAAAAAAQxGwAAAAzk19fX3jPQXg17LZbHagr6tLdDWd/cmcOWfo48SjKCqIj+U3LybiBemWQ1EUFZWUj+GwDCjR1zPeUwAAAEKUyWQG/FUZGC99fX2ZTKb/+6lDm2Pnym/3sb6e1KHNZ2LkeBRFyYKx/GrVVDLZ+vpzURQtuP53YvGCMRyZ/kr6Tv72TQAAgCiKurq6ent7e3t7ZSwYd9lsNlevuru7+/800Xa46vlvnAMNK9bXM+n5byTaDp+JwRNRFE0sLe1sHmAPjkJBLF5VWv7mv/3lxLobJlRNKywqTncqLGdKvC8zuXP/eM8CAAAIVFtbWzKZTCbH8pIFYBSy2exg9Spnwu7HU0df6apelklVns2JjaFEV1Pq0OYzVK+iXMAqSaamlE1s6mjP9A5wJdtwB4oXpJLJqtLyREFBR/PBHf/fx9t6splERZQoHrvZ8rZ4pruwu6nk2I7CitLxngsAABCudDqdTqfHexbAqSXaDk/Y+ch4zyJcieMbHsi9qhiL4Tp+9aJ938uxKKoaizEZkoAFAAAAnON8CyEAAAAAQROwAAAAAAiagAUAAABA0AQsAAAAAIKWGO8JAAAAcKYkk8lkMjneswDeFTKZTFdX1xkaXMACAAA4N5WWliYSiXg8HovFxnsuwDmur6+voKAgkUi0tbWdifEFLAAAgHNQMpksKCgoKCgY74kA7wrx+NtPqUomk+l0euzHH9vhampq5syZM7ZjAgAAMFK5gDXeswDeXeLx+Bm6bXmMA9add955xx13jO2YAAAAjII7B4Gz7Mz9szOWAau8vDz3oqysbAyHBQAAAODd7OSAlY9Qo1BXV7dnz549e/bU1dWd3qzeFo/H77///ilTpuTf+fznP3/jjTeOyeBndEwAAAAAxsrJD3H/2Mc+9uCDDx4/fnwUYy1cuHDr1q2xWGzRokXr168f0bozZ878xCc+sXjx4uLi4qNHj65Zs+ahhx7q6+u7884788tceuml6XR69erVo5jbYPqP+dGPfrS9vf0Xv/jFGG4FAAAAgFE7OWCVl5ePrmGVl5fX1tb+67/+aywWu/nmm8vKylpbW4e57tKlS+++++4HH3zwe9/7Xltb29y5c6+66qr+i23YsGHDhg0jmtUp9R+zpqZm7969Y7sVAAAAAEbt5IAVjbBhlZSUXHvttbFYbNmyZfv27ctFq3379tXV1eUuwqqpqVm6dGkURdlsdu3atR0dHSeNUFhY+Id/+Iff+ta31q5dm3vnpZdeeumll3KvH3rooc985jNNTU033HDDbbfdNnny5G3btt17773Nzc25n953332/8zu/U1pa+q1vfau1tfXzn/98SUnJgw8++KMf/eikDX3sYx+79dZbU6nUo48++u1vfzuKov5j/vmf/3lutp/5zGc+/vGPt7e3D39XAgAAAHAmDPwQ9/Ly8pE+Fmrz5s0///nPc69feeWVRYsW5V7ffPPNy5YtG2LFhQsXRlGUr1eDmTlz5te+9rVPfepTURT9xm/8Rv79ZcuW3XXXXffff/+dd9754Q9/+Etf+tKf/umffvKTn6ysrDxx9Ysuuuimm276gz/4g9tvvz1XrwYc84/+6I/WrFnz7W9/+5ZbblGvAAAAAEIwwBVYURQdP358mI+a6ujoyHervPr6+txdhLFYrLa29mtf+9oQtxNOnjz50KFDudelpaU/+MEPcq9vueWWExfLV6ennnrqkksuyb//k5/8pL29/Ze//OVnP/vZhx9+uKmpqampaf/+/TU1NU1NTfnFent7S0pKKisrGxsbTzkmAAAAAOEYIGAdP3581M9xz4+Qu4swFovl7yscTFtb2+TJk3Ov29vbb7nllhMzVt6VV1557bXX1tbWTpkyJX+DYRRFuXsJoyjq7Ow8evRofpyioqITV9+5c+cDDzzwx3/8x2+++eb9999/4MCBIcYEAAAAIBwn30J4+vUqJ3cXYe57CU+5ZGVlZe7JU4NZsGDBpz/96TVr1txzzz3333//6Ka0evXqO+64o76+/itf+cpYjQkAAMA70Y033jh79uzxngUwXCcHrDGpV1EU1dfXz5w5c+bMmfX19UMv2dra+v3vf//LX/7yypUrKysrU6nUggULTlpm6tSpLS0tb7zxRhRF11xzzahnlc1md+3aVVhYOMSY7e3tM2fOjMcHfjoYAAAAJ5o+ffp73/ve8Z7FiK1bt27atGmjW/e6666rq6sb2/m8S1x//fXz588f71mcwqJFi2bNmjWKFadPn758+fIxnw85A1yBNSbj5scZ+v7BnJ/+9Kf33XffTTfd9J3vfOeBBx64/fbb77vvvhMXWLduXXNz87e//e2777578+bNo5jPxRdf/C//8i8//vGPP/nJT/7t3/7tEGM++uijixcv/qd/+qfi4uJRbAgAAOBcsmrVqlQq1f/96urqVatWTZo0afbs2S+//PKZnsbs2bOXLFly+isWFRXdcMMN8+bNmz9//rFjx0Y3meeee666uno4Sw6298bXiGZ13nnnLViwIJFIXHHFFbFY7DTHf+65507shrFY7Lrrrgvtt+/6+vrp06dXVlbedNNNwylZ+XPswIEDvb29kydPvuaaa4ZZdfvvqzD3SQhiw/xbNwo1NTVRFDU0NJyh8YmiaNKkSVEUtbW1jfnIe/bsGfMxAQCAsyP3be/JZHI4C19zzTWJRGLt2rW9vb25d3LXyGzbti2KolWrVj3++ONdXV0nrpJMJpcuXVpfX79o0aKNGzfmVzxzZs+eXVZWtmXLluGvUldXl79JcNu2bTt37oyiaOnSpbt27brgggt27dqVf6TySOVqxWCTueCCC3p6evbu3RsNsvfG3YhmFYvFLrnkkqqqqu3bt+/evfs0x7/44ot7e3vPQvEc0ImHZmi5T/3qq69eeOGF27dvb29vH3CxAc+xurq6xsbG0tLSzs7OAZNI+GfIaUqn02ciUwz8LYRjQroCAAB4p5g3b94pnwCTl06nn3/++SiK1q9ffyYndVrq6+vr6+tz5StXFqIoyn1/1+ju7MnLp6tZs2alUqlc6csrLS0dzq1IeVVVVRdeeGGwezKbzW7YsGGsRnvxxRfHaqhRGP6hyX/qTZs2DbHYgOfYKf8ejfQMIecMBiwAAADeEV577bW6urqGhoYBL0qqqKiYP39+KpVqaGjIXTtTW1s7Z86c4uLipqamzZs3d3d3R1G0atWqjRs3LliwoKSk5OjRo1u2bEmn0ycNtWrVqk2bNuVG27dvX+5X/VQqtXDhwkmTJmWz2f3792/fvr2vry+KopKSkiVLllRVVR0/fryxsTE/SHFx8eLFi6uqqtrb27ds2dLS0nLSVnIrVlZWtra2jmjFVatWvfTSS/PmzSssLNy6dWtPT8/ixYsTicTOnTtzeSI/1dzVbd3d3Se1sMsvv3zy5MlRFNXV1T3yyCP9914ymbzhhht+9rOf5ZevqKjonzyGnkn/QXbv3n3o0KFkMllXV3feeedFUbR169YDBw4MeLgHPKaDHYUBj/UpNzT88Qe8BGnAjZaVlS1ZsmTixIktLS1NTU2JRCJXEgc8rP3PtJMOTSaTye+9hoaGffv25SZ57bXXrlmzpqioaHTn2GAfc/hnyGD7BI8qBwAAeLfr6up69dVXly5dOuBDjmbMmLFu3bpnn322pqYm9xiTsrKyzZs3r1mzJoqiE7/Lb9asWRs3bnzsscdisdhgjznPjfbcc8/V1tZWVlbGYrFLL720ra3tiSeeePbZZydNmjR37twoinLvHzt2bPXq1a+88kruGTXRr+7tampqevTRR3ft2rV8+fKT5pxfcc2aNSNaMWfKlClPPfXU1q1bFy9ePHv27Geeeeb555+/6KKLUqnUiVN94oknmpubd+/e/dZbb524+rp163K55OGHH84lkv577yQvvvhirp4MfyYD7tgoilasWNHb27t27dr169cXFBQMtlj/WQ12FKJBjvUpNzT88QfUf6OxWOy9733vW2+9tXr16vr6+uEc1pPOtP6HJqehoSH/WK6ampqDBw9ms9lRn2On/JijOEPIEbAAAACI3nzzza6urgGzws6dO7u6uo4fP3706NGysrIoiurr61taWjKZTENDw4QJE/JL7tixo729PZ1Ov/rqq1OnTh1wQ6+//npXV1dLS8uRI0cmTpxYWVlZUFCwffv2np6e9vb2+vr6GTNmRFFUUVERi8V27NiRyWSampryiaeysjIej+fe379/fxRFJ07gdFbM2bVrV+5z9fX17d69u6urq7Gxsa2trbS0tP9Ua2trT7lj+++9YRpiJgMuX1FRUVxc/Morr3R3d7e0tLz55pvDn9VgRyEa6FgPZ0PDH39AA240Ho9v3749d1jzz7Ea4rCedKYNtq0DBw5MmjQpkUhEUTR9+vQ333zzdM6xEX3MAffVKZd/13ILIQAAAFEURVu2bLn66qv73w7W2dmZe5FOp3OX20yfPr2mpqasrKy4uPjES5DyS3Z3dxcWFg64lfyNUT09PQUFBcXFxSc+IbujoyN3hVFJScmJ76fT6aKioiiKiouLJ0yYcOutt+Z/lEqlTnyi0KhXzC+fe5HJZPIfJ5PJFBQUFBYWnjTV4XxVXP+9N0xDzGTA5XNPVjrphrVhzmqwoxANdKyHs6Hhjz+g/hstKSk58bngPT09uRGGOKwnnWmDbSuTyRw9erS6uvrYsWPJZLKxsbGmpmbU59iIPmbOqM+QdxsBCwAAgCiKos7Oztdee23p0qWNjY3ZbHawxaqqqhYsWLB169bW1tbJkyfnb7+KoqiwsDBXDcrKyjo6Ooaz0a6urpKSkvwfi4uLcyv29PScmIfyy3R3dzc3Nz/99NODDTjqFUc91RHJZDLxeDwej+cC0HACxzAH6e7uPnF6IzLYRxvwWI9iQyPadQNuNF+scsbwsEZR1NDQUFNTU1RUlLveatTn2JicIQzGLYQAAAC8bc+ePX19fSc2qf5KSkrS6XTusdb5p//kzJs3L5VKlZSU1NXVDX0LW17uAdi5p5WXlpbW1dXl7g5rbGwsKiqaNWtWIpGYMmVKfkqNjY2pVGrmzJm5e74GHHB0K456qifJZDLl5eUDPmAriqK+vr62trY5c+YkEomZM2cO5xquYQ7S2NgYj8fnz59fWFhYWVk5nJvXTvnRBjzWo9jQMHddzoAbbWpqSqVSp3lYBzs0hw4dqqysnDp1ai5gnc45NpyPOfQZcuJ+WLlyZTyu27zNjgAAAODXtmzZkrsfajAHDx7s7u6+/vrrly9ffuTIkRN/dPjw4auvvvqqq65qbGx8/fXXh7O5bDb7/PPPV1RUrFy58rLLLjt8+PCuXbuiKMpkMi+88MJ73vOeD3zgA7W1tfkQ0NfX9/zzz59//vkf+MAHbrrppiVLlpw04KhXHPVUT7Jv375JkyZ94AMfGCx/vPzyy7W1tTfeeGNpaWlTU9NIpzHYIH19fevXr584ceINN9xw8cUXd3R0lJaWXnfddafz0QY81v03NOrxBzTgRnt6ejZu3Jg/rPv27evt7Y1GeFgHOzR9fX1HjhyJxWK5GwBHfY6N1RnCgGLV1dXjPQdGL/cNBSfeCTxW9uzZM+ZjAgAAZ8fChQujKEomk2dzo6tWrXr88cfzDx5i3NXW1qZSqR07doz3RMbexRdf3NLSMkQFYxyl0+kzkSlcgQUAAADvPAUFBddee+0Qt5hNmjSp/yP5RyGVSl111VWnP86YSCQSM2bMqK6uHpOPFqZrrrnmLNfndwSXqwEAAMA7T29v79q1a4dY4MUXXxyTDXV1dZ3mU9LHxBVXXFFRUZHNZltaWjZs2HAOX+v31FNPjfcUQiRgAQAAMAZ+9rOfjfcUOJc9++yz4z0FxpNbCAEAAAAImoAFAAAAQNAELAAAAACCJmABAAAAEDQBCwAAAICgCVgAAAAABE3AAgAAACBoAhYAAAAAQROwAAAAAAiagAUAAABA0AQsAAAAAIImYAEAAAAQNAELAAAAgKAJWAAAAAAETcACAAAAIGgCFgAAAABBE7AAAAAACJqABQAAAEDQBCwAAAAAgiZgAQAAABA0AQsAAACAoAlYAAAAAARNwAIAAAAgaAIWAAAAAEETsAAAAAAImoAFAAAAQNAELAAAAACCJmABAAAAEDQBCwAAAICgCVgAAAAABE3AAgAAACBoAhYAAAAAQROwAAAAAAiagAUAAABA0AQsAAAAAIImYAEAAAAQNAELAAAAgKAJWAAAAAAETcACAAAAIGgCFgAAAABBE7AAAAAACJqABQAAAEDQBCwAAAAAgiZgAQAAABA0AQsAAACAoAlYAAAAAARNwAIAAAAgaAIWAAAAAEETsAAAAAAImoAFAAAAQNAELAAAAACCJmABAAAAEDQBCwAAAICgCVgAAAAABE3AAgAAACBoAhYAAAAAQROwAAAAAAiagAUAAABA0AQsAAAAAIImYAEAAAAQNAELAAAAgKAJWAAAAAAETcACAAAAIGgCFgAAAABBE7AAAAAACJqABQAAAEDQBCwAAAAAgiZgAQAAABA0AQsAAACAoAlYAAAAAARNwAIAAAAgaAIWAAAAAEETsAAAAAAImoAFAAAAQNAELAAAAACCJmABAAAAEDQBCwAAAICgCVgAAAAABE3AAgAAACBoAhYAAAAAQROwAAAAAAiagAUAAABA0AQsAADAJaIDAAAgAElEQVQAAIImYAEAAAAQNAELAAAAgKAJWAAAAAAETcACAAAAIGgCFgAAAABBE7AAAAAACJqABQAAAEDQBCwAAAAAgiZgAQAAABA0AQsAAACAoAlYAAAAAARNwAIAAAAgaAIWAAAAAEETsAAAAAAImoAFAAAAQNAELAAAAACCJmABAAAAEDQBCwAAAICgCVgAAAAABE3AAgAAACBoAhYAAAAAQROwAAAAAAiagAUAAABA0AQsAAAAAIImYAEAAAAQNAELAAAAgKAJWAAAAAAETcACAAAAIGgCFgAAAABBE7AAAAAACJqABQAAAEDQBCwAAAAAgiZgAQAAABA0AQsAAACAoAlYAAAAAARNwAIAAAAgaAIWAAAAAEETsAAAAAAImoAFAAAAQNAELAAAAACCJmABAAAAEDQBCwAAAICgCVgAAAAABE3AAgAAACBoAhYAAAAAQROwAAAAAAiagAUAAABA0AQsAAAAAIImYAEAAAAQNAELAAAAgKAJWAAAAAAETcACAAAAIGgCFgAAAABBE7AAAAAACJqABQAAAEDQBCwAAAAAgiZgAQAAABA0AQsAAACAoAlYAAAAAARNwAIAAAAgaAIWAAAAAEETsAAAAAAImoAFAAAAQNAELAAAAACCJmABAAAAEDQBCwAAAICgCVgAAAAABE3AAgAAACBoAhYAAAAAQROwAAAAAAiagAUAAABA0AQsAAAAAIImYAEAAAAQNAELAAAAgKAJWAAAAAAETcACAAAAIGgCFgAAAABBE7AAAAAACJqABQAAAEDQBCwAAAAAgiZgAQAAABA0AQsAAACAoAlYAAAAAARNwAIAAAAgaAIWAAAAAEETsAAAAAAImoAFAAAAQNAELAAAAACCJmABAAAAEDQBCwAAAICgCVgAAAAABE3AAgAAACBoAhYAAAAAQROwAAAAAAiagAUAAABA0AQsAAAAAIImYAEAAAAQNAELAAAAgKAJWAAAAAAETcACAAAAIGgCFgAAAABBE7AAAAAACJqABQAAAEDQBCwAAAAAgiZgAQAAABA0AQsAAACAoAlYAAAAAARNwAIAAAAgaAIWAAAAAEETsAAAAAAImoAFAAAAQNAELAAAAACCJmABAAAAEDQBCwAAAICgCVgAAAAABE3AAgAAACBoAhYAAAAAQROwAAAAAAiagAUAAABA0AQsAAAAAIImYAEAAAAQNAELAAAAgKAJWAAAAAAETcACAAAAIGgCFgAAAABBE7AAAAAACJqABQAAAEDQBCwAAAAAgiZgAQAAABA0AQsAAACAoAlYAAAAAARNwAIAAAAgaAIWAAAAAEETsAAAAAAImoAFAAAAQNAELAAAAACCJmABAAAAEDQBCwAAAICgCVgAAAAABE3AAgAAACBoAhYAAAAAQROwAAAAAAiagAUAAABA0AQsAAAAAIImYAEAAAAQNAELAAAAgKAJWAAAAAAETcACAAAAIGgCFgAAAABBE7AAAAAACJqABQAAAEDQBCwAAAAAgiZgAQAAABA0AQsAAACAoAlYAAAAAARNwAIAAAAgaAIWAAAAAEETsAAAAAAImoAFAAAAQNAELAAAAACCJmABAAAAEDQBCwAAAICgCVgAAAAABE3AAgAAACBoAhYAAAAAQROwAAAAAAiagAUAAABA0AQsAAAAAIImYAEAAAAQNAELAAAAgKAJWAAAAAAETcACAAAAIGgCFgAAAABBE7AAAAAACJqABQAAAEDQBCwAAAAAgiZgAQAAABA0AQsAAACAoAlYAAAAAARNwAIAAAAgaAIWAAAAAEETsAAAAAAImoAFAAAAQNAELAAAAACCJmABAAAAEDQBCwAAAICgCVgAAAAABE3AAgAAACBoAhYAAAAAQROwAAAAAAiagAUAAABA0AQsAAAAAIImYAEAAAAQNAELAAAAgKAJWAAAAAAETcACAAAAIGgCFgAAAABBE7AAAAAACJqABQAAAEDQBCwAAAAAgiZgAQAAABA0AQsAAACAoAlYAAAAAARNwAIAAAAgaAIWAAAAAEETsAAAAAAImoAFAAAAQNAELAAAAACCJmABAAAAEDQBCwAAAICgCVgAAAAABE3AAgAAACBoAhYAAAAAQROwAAAAAAiagAUAAABA0AQsAAAAAIImYAEAAAAQNAELAAAAgKAJWAAAAAAETcACAAAAIGgCFgAAAABBE7AAAAAACJqABQAAAEDQBCwAAAAAgiZgAQAAABA0AQsAAACAoAlYAAAAAARNwAIAAAAgaAIWAAAAAEETsAAAAAAImoAFAAAAQNAELAAAAACCJmABAAAAEDQBCwAAAICgCVgAAAAABE3AAgAAACBoAhYAAAAAQROwAAAAAAiagAUAAABA0AQsAAAAAIImYAEAAAAQNAELAAAAgKAJWAAAAAAETcACAAAAIGgCFgAAAABBE7AAAAAACJqABQAAAEDQBCwAAAAAgiZgAQAAABA0AQsAAACAoAlYAAAAAARNwAIAAAAgaAIWAAAAAEETsAAAAAAImoAFAAAAQNAELAAAAACCJmABAAAAEDQBCwAAAICgCVgAAAAABE3AAgAAACBoAhYAAAAAQROwAAAAAAiagAUAAABA0AQsAAAAAIImYAEAAAAQNAELAAAAgKAJWAAAAAAETcACAAAAIGgCFgAAAABBE7AAAAAACJqABQAAAEDQBCwAAAAAgiZgAQAAABA0AQsAAACAoAlYAAAAAARNwAIAAAAgaAIWAAAAAEETsAAAAAAImoAFAAAAQNAELAAAAACCJmABAAAAEDQBCwAAAICgCVgAAAAABE3AAgAAACBoAhYAAAAAQROwAAAAAAiagAUAAABA0AQsAAAAAIImYAEAAAAQNAELAAAAgKAJWAAAAAAETcACAAAAIGgCFgAAAABBE7AAAAAACJqABQAAAEDQBCwAAAAAgiZgAQAAABA0AQsAAACAoAlYAAAAAARNwAIAAAAgaAIWAAAAAEETsAAAAAAImoAFAAAAQNAELAAAAACCJmABAAAAEDQBCwAAAICgCVgAAAAABE3AAgAAACBoAhYAAAAAQROwAAAAAAiagAUAAABA0AQsAAAAAIImYAEAAAAQNAELAAAAgKAJWAAAAAAETcACAAAAIGgCFgAAAABBE7AAAAAACJqABQAAAEDQBCwAAAD4/9u70yg7y8Ow48/73jt3ds1IoxFCSEhiERISxhUgFhtsFpsttgM2pjbJ8Ylr3B5CWyct9Qc37Wly3J40TUtonTaJW7cxhjiAS13jBbnYiQ1eMAaEQAJJSEIrzGiZ0dxZ7vb0w0jjsTQjzQgx9yX+/c49SNz7Ls8d6ejD/zzP8wKZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZJmABAAAAkGkCFgAAAACZlq/3AAAAAAB+tezfv3/0N01NTSGEXC6XJEldR3Q8McZqtVqpVCqVSr3GIGABAAAAzLQ0TVtaWsrlcpKk5XLdwtBUJEmSJEmh0NjQ0DA8PBxjnPkxWEIIAAAAMNNaWlpKpXKMoVar1XssJxBjrNVqo9OvWltb6zIGAQsAAABgRjU1NZXL5XqPYtqq1VqlUm1sbJz5WwtYAAAAADMtSd6uTSZN6zDyt+sPCwAAAOBtKpfLZX/l4IRqtVpdApZN3AEAAABm1PGfOVgttFcaOqq55lrIhZl8OGEMaajmqkP5cl+udGiyo+rywEQBCwAAACATYpofaTmjFJpjLYR6PJmwGnLl0JYU2gqFocbBXUktK49HFLAAAAAA6i+m+cHWxeVqPoRY55HUwnBoqrYubiluz0jDErAAAAAA6m+kZUG5kqt7vRpTruRGWhY0DbxW74GEIGABAAAA1F21oW0kNmWnXo0aiU0NDW258sBxjsnnG9I0CSfYrCvWarFSKZ/0SAQsAAAAgDorN8yK1WzVqxBCrMZyw6zjBKxCoXCidDUqSdOkUCiUSqWTG0kdHnwIAAAAwHjVtCmGeJzXOxZ0/qNLl256+A8/fcWy4x95al/VtGmyMefzDVOrV2OSfL7h5H4+ZmABAAAA1Fk1piFOOgPrE79+3UVrLp/d0PDUywMLz1wantw4owObRJpOq16FEEKSTPuUw/c6udMAAAAAOHXipK9C82UXv2v/vqEQQnt3+7svXfWp61YvaEquXTKnkEx+1ql8TWbmApYZWAAAAAD1dpxSNDL45b955t5/9tEzuxuSWAvJws9ffdU9L29sWLDk397ze198asNbPrAMELAAAAAA6i7GSVpRksvfdNuNi7sbQqyGEJJaZee2Xd97fv/SF3etXf/q2Fmz8uG2Ky646rJ3LFk4r5DP9x0qvrJlxzfWPrV2675sNKg3RcACAAAAqLM4umf6RJatuWzlwnkxlka3nBoeqrz0/GttTQ3Lzz/99ELYFmMI4bKlp/3Fv//np52zNITq2KSp1e/P//1/+Mm1/+PLn/rCI0MnG7Em35hrRtkDCwAAACALJt6C6qLL1wzv6wtHWlJTc/6971v+oZtWzT33rFuvuzyE2NLS+sX//K9OO3tRjJUYayHG0a2xYq0Sw8j7Pv1bv3/7NW/BBlgzSsACAAAAqLs4WUGav3hx+VCxWCyPHhWS0FBIQyyHWLvs4gtCDJf8vdXzTp/zR//xS//8s/8xSXIxpDFJYki++e0ffvLTvzcyXPz7H7+lMZx0v8pEw7KEEAAAAKDuJp/u1NRSGeg/cGCorbk1pEmIh5/kF2Nl9pzZIdRaWlsHipW1/+/HO3f1vOeqNaPXqVRrDz74f7/z+JP//t/9bkf3/Nn5uLc8c1/mlBOwAAAAAOothjjJdlOV0nDPwaGefflF85tiTEKSJEkSQhKqpSRNYwzPv/rqD9cfvPe//If5XY1zOhpHLxdj+ODNVx44ODAykjy0bvPe0sluZhWTk/1Kp5KABQAAAFBncfIZWHt27c4frAyWqyuXdTTmYwiH52DFWti39/WPXrrswlUrtvcNbjpYXdBRa0yH2ppyjQ1JEmOpVBmu1A5Uav/5vz8w2SMOpzaw+hOwAAAAAOpt8hWEG59ff+7KvzdwsP/bP33jg1ecloTR5xXGkMSGWV2/83ufa8/Xenr69x8Y3LJ/ILS07R3IhRCSJDbkYlMon94a/usdV/7xf9vxnW29JzmwDBCwAAAAAOouhkkW+W148oe/9p5rw8DQxld6Llkxe8HshhBCCMkb+4q7as1XLWwJIZ42vy0k4aqQhDC64i8Z24Y9xpgki/7ymvf80Wd//z9877npB6lMFCxPIQQAAACotxhjmPhV2rf36U0v5wqFEMOTz/WWKyGGUKnGtc/svfTixSEJYXRPrBiTGJNYDbGaxGqItRBrIcbRD9OWxn/xx3/w179186+dMz9McqMJX5NltRkmYAEAAABkQZzs9f2v3j8yvyum6Y43hr7/kzd+vv7A4z/ee+F58woNaTgy5yqEJCQhJkkMR55SGEIISV//UO++/t7e/f3D1Xfe+sG7/uW//spdt3akk97rmNc0pGna0NCQy+VO5U9l9Mqn/IoAAAAATM9xJ0KV9r/xwF9+KZw2txKSwUq6rae0r5ysOqszhF8sPYzhyNZYh7NTkoQkJOlIOVZrIcZYLBbblywdOLjv6n/4qf/9+799Wj6Z6jSsKWtsbDznnLOXLFnS0NBwan88AhYAAMDfTbVard5DAKbuBJ1o77qf/s//9eebqyPriyPrB6o3X3ZG+MXcq1AbOz8Z9wohxLj/4PC8ebO7uzoOHSrm09q82Y373th32ruu+Ms/+KcdU5opNY2AVavVmpubV61adcobloAFAADwd1ClUonZ2LkGmIoYQzyRno3PP/JH/+p//5+vXbdq3uz2fBLi4VSVHH79ImgdkYS4dGFHb0//G719ixd2xurgkhVnb9u6JxzaP/+aa+6988PJCe86nX9IRkZGNmzYuGvXzhUrli9duvQUNiwBCwAA4O+g4eHharVarVZlLHibmOq+6u99z3suPac1hDi66dXhTdyTX2pXR/43xhAaC2l3V/O8rtamplwSa60t+f7crLnz5w7u2XnpP/itT60570TrB6f3b8jQ0NCLL760e/fu5cvPO4XzsPKn5CoAAABkzcDAQKFQKBQK9R4IMAVTy0QN7Z0fuvId+SNbt8dftKqQJEkYV6yTEEYfQBjjkbYVYwhJqJVnzWoaqiQL53XsHx76x5/7zGO33bVrZPIVx9Nv4ENDQ9u2bV+6dOmiRYt2795dLpenfYljCFhMbMmSJfUeAgAA8GaVSqVSqVTvUQBHa2trO+a9Kc11Ou+Si8/pzMcQ0xDikXQV42iqGnf+L5esIx8dPr67q2Vv78A5SztOL8XhpjP+xUeu/adfeXzye067YDU3Ny9ZsnhkZGTHjh2n6p8gSwgBAAAA6m5K6wff+c7V8zpzo88ZTI6UpSQc3j/rSND6pegUD0/UGns6YVza3by1ZyjEkDSkLW3Nt9/5idMbJn8M4jQDVnNz88qV5y9YsGDjxpe3bdt2SqZfBQELAAAAoO7ikQh13O3U4/nvWJ6maTx8SkzC6Gmj+elIa0pCSJMkhCSOm4kVRzfNCiEkw8PDpVoaQpLGGMrFwoKFv37pqlOxh3tobGxcsWL5GWcs3LBh49atW09VvQoCFgAAAED9TaEUpc3ti2elW984lCRJPDK16pdOO+ophElIQpKEmIRaCLUk1pJYi+Xy5le2DlVjpVyNtWqolmNp4Kp3XfxmBvaLEabp0NDQ+vXrT+Hcq1H2wAIAAACou3jCVJRr7+wq1N7Y8/r8jsUthTRJQohjm68nR1YKhhiOVKdfLAD8xZV79/aUqzGfSw4cGOye0xhiDJXhBfO7Jr/7NALWyMjI5s1barVatVqd+llTYQYWAAAAQL3FMG5O1cSvXJovV6q5WNnx+oFQq8Ra7cgivxhCLYRaiNUQq0k8/JsQamNbYI3+GmPs3X8ohBCTpGd/6Ui0ivuHJ7/7dNYQ1mq1crl8yutVELAAAAAA6m4qW7iXBw6+uLNSqcSDBw/FWgzVaqjWwrh9qpIkJMmEV48hxlirHhosDVSTGEKxmu7uLZdroVQJz28Z3LTj4HHuO4M/hklZQggAAABQb/HESwgrfb27SjFuHFh5XluxVGsrJCGGUIshhJikSRLi6LMGD8+cSkbnT8UwlqHiwFA5ScPrB2vFXNpfil//wYEYQ0jCxo0bJr379LZxf6uYgQUAAACQASdYQRhCjOteeK7WOuvn6/v39g7HkMQQDu/cHmOs1WK1GivVWK3Gam3sv6FWG9sIq1ypDY7EbYeaCmkuhjSGJOTTptD/jR8+NelNs0HAAgAAAKi3eOJ8FUJ88msPpecsrsTc8xv7n32p71CxGo/Mrjp8kRhDLYTakfV/IRktXKNHDZfic5tLu2qln7y86cC8OX1dHU/v2PTP/s3n9xZHJt8DKxMRK9fW1lbvMXDyWlpaQgilUqneAwEAAACmqlAoVKu18e8MheZq5cR7n1cHD70+Et9143XtpVJ/sfra3uED/eUQkqbGXJqOLiBMwuFfkxDSsWcQHhyobt41vG7bSG7pGfd/6X9es+qdHaF66dzcH/yTf7y3r/84d8zlcy3J0C+9k8uNhohc7mR2pjq5Ld7tgQUAAABQZ0ceJnhi6x598P8uWPSpj9xY2vZ6eaS8Z3/l9QMDaZJ0tOVnteVamnKNDWmaJrUYSpU4NFLrH6weOFQZLtfSfNq17PSt/ZUDO3f+8JmfrVx51qyDw3tHqse/b4wxTLgx/MwSsAAAAADqbuor9WLvhhe3bL6oe+m89sHh4b0Hq9VaNcTevkpvX+XwjlghHN4hKwkhhCRJmrvaWhbO2byrf9bgULF46IlH/scTj5zygb2FBCwAAACADJjyblOlUmlutXzo5V29czrOXLGwYWCodKBYGRiu1WqH53Elo/u7h1wh19zV1ji3fU//yNaX9s4tlYpNTZX+fRnZ2WrqBCwAAACAupvGdum9+/bFNGlNkpb+QzvWHQodLU2zWprnz57TkIRSpVauhRCSXFrLJ28MV3v6Boee3TE3qc3LpSEJrx84EEeK05lWlYnUJWABAAAA1Fk88jTBqejZ8eoVq09b0JEvV2oH+svb3xjavnf/8K64dXZ7dVbLpd1Ne4uVnkOVgZ29c5JaUwjnzm1cNL/59K6mNEn/+K/+X5zO9KtpHfzWEbAAAAAAMmDKpah2qPfnL28789Kl+UJonptfMHfWBUvbfvTSwX0DQ8nps1Z3N66r1YZ29LcWkrMXtJ+7sKW9JQ0hhpCEkD711I+zMadqetJ6DwAAAADgV97hpxBO7RXjf/riQweLMdQOn9jelFy1qjOWK+lIaedrvdXB4XIM775g9upz2w7XqxiSGF7Yvu8n3//eNG40nYWNb6lcW1tbvcfAyWtpaQkhlEqleg8EAAAAmKpCoVCt1sa/M1gr1CrVqV9h79ZNz+4pp+0LDgwng0O11/vKP97S33PwUEvP6wd39hza0/PGwHCxlrS2NrY35ZOQ9g/VXtxV/NbjP9700vqBYnHqN0rzaWv6S9khl8uNhohcLnf4MYdTFmOs1abxNcck8+fPP4nTyIiurq4QwsDAQL0HAgAAAExVW1tbqVQe/87+atvw0LSnp8zp6Gxtbe88bWFTc/PSrlkL553W1Tm7o31WPp8LSRJCLFZCOd+cJHGkr3ek2DdQHHxt166//elP9h3cP8VbNDUX5uR+KTsUCg2jISKfb0jT6a3tq9VqlUr5xMcdwx5YAAAAAHXWkNaGp79Wb//Bg/sPHtyxa0cI4enJDhqdI3WyCwEb0tpkH1Uq5UKhMJ1JWPHk6lUQsAAAAADqriktF3NprTppLTp5b2IPqzSXNqXl41yhVCrl8w1JkiTJ8TJWjDHGk69XQcACAAAAqLuGWG5pbhk4dDL7Q711WppzDXHk+Me8mSw1dQIWAAAAQP21JUOVluahwRMEoxnT3NLYlgzVexSHCVgAAAAA9ZeG2JkfyrU1DQ5VapW3YC3h1EeST1ua8+3pUPpm1h+eUgIWAAAAQCakIXakQ82tDcO1hnIlvBU7Yh1fLg0N+dCUVgshK3OvRsO7LMYAAAwxSURBVAlYAAAAADMqxpgkSYwTz28qhHIhLYfCDA9qSpIkqdXqMDssnflbAgAAAPwqq1arx39sX2alaVqt1mGn+XxXV9fM35VTq62trd5DAAAAAKZqeHi4UCjUYybTm5Uk4U0GrJOLGPmBgYE3c1cAAAAApquhoSGXS6szv83Vm5DP52KMlUrlzVzk5EqUJYQAAAAAM214eDiXy6VpmqZZjzNJkuRyuVwuF2McGqrP5u42cQcAAACYaTHGgYGBxsbGNE0bGvJZ3hKrVqtVq9Vqtfom5169GQIWAAAAQH2MjIzUewhvD1mfpQYAAADAr7hf0YB1/vnnf/jDH673KAAAAAA4sbdfwFq1atUHPvCBkzt32bJl99xzz6JFiy655JJvfvObp2Q8nZ2dn/zkJ5uamk7J1QAAAICMWLNmzc033zzFg++5557W1ta3dDy/yibeA+vOO++cN29eCKFUKvX29q5bt+7nP/95jHFmxzaBjo6OCy644K//+q/H3rn88suHh4efffbZE57b0tJy4YUXfvGLX7zxxhsfeOCBcrk8lTse//ppml5//fWPPvro8PDwFL8CAAAA8Fa78847Qwh/8Rd/Mf7N9vb2u++++/vf//6PfvSjOo1rAsuWLbvsssvmz58fY9yzZ8/f/M3f7Nix45Rc+Th558477/zud7+7devW0SPz+fxnP/vZP/zDP6xUKk1NTUuWLFm5cmWxWPz2t789/oKNjY2//du//cQTTzz33HOnZIRTN+km7g888MC2bdva29sXLlz43ve+94wzzvj6178+kyObUF9f34MPPjj+nTlz5vT09Ezl3MHBwYceeiiE8MADD0z9jse/fq1W++pXvzr1qwEAAAAzo62tbenSpWONJoSwZs2arE1AWb169dVXX7127drNmzenaXreeefdfvvtX/va11599dVTcv2TyDtr1qxpaWnp7e09dkLZFVdcUa+nJeY6OzuPffeiiy569dVXDxw4MDIy0tPTs2XLluuvv37Lli0DAwMXXnjhLbfccs011yxZsmTLli2j85juueeeffv23Xbbbe9973tbW1tHf8pz58796Ec/esMNN5xzzjldXV3nn3/+pk2bjrpRZ2fnrbfeesMNN5x33nlz585dsWLFpk2bWlpaPvOZzzz11FOjx9xxxx0jIyP79u2bNWvWrbfeeuONNy5fvnzPnj0DAwN33HHH8uXLzz777Kuuuurpp58e/zTH5ubmm2666aabbrr88sv7+vp6e3uPHflkNxq7yFHX/53f+Z1Dhw7dcccd5XK5r69vwnOPve8p+7MCAAAApuaiiy7avHnzueeeu379+tF3CoXCTTfdtH379mKxuHPnzhDChImjs7Pzwx/+8A033LBs2bKRkZF8Pj9aM46NEkfd8V3vetdrr732kY985Nprr12wYMHWrVsrlcrHPvaxQqGwZ8+e0QH87u/+7rPPPjuWLwqFwsc+9rFHH310w4YN5XK5VCrt2bOnVCpdeeWVP/vZzyarFlMvM8fJO6MfHTx4cPTiaZq++93vfvLJJ2u12vbt2zdv3nzaaae1tLSMLznz589fvXr17t27+/r69u7d+1b9yU1iSntg7d+/f+fOnWeeeWYIYd68eY8++uh9990XY7zsssvGjrngggu+/OUv33///e985zsXLlyYJMmtt9766quv3nvvvWvXrl21atWxl02S5Pbbb9+xY8d99923du3alStXHmcMowfv3LnzT/7kT55++ulbbrklTdOvfOUrzz333Nq1az//+c8f1VBvu+22crn8Z3/2Zw8++GBDQ8NxRn4cx17/rLPO+tM//dNnnnlmslOOvS8AAAAw8zZs2NDd3d3d3T36v6tXr964cWOpVBo74NhQkCTJRz/60ddee+2+++777ne/O1YqJowSx97x4osvfvjhh7/whS8kSXLttdeGENavX3/eeeeNfrp8+fJXX311aGho7PgzzzxzaGho8+bN4y+ybt26rq6uWbNmTfa9plhmjj1xfN6ZroaGhptvvvmoFYUzaYIlhJ/+9Ke7u7s//vGPhxAee+yx0WWNhw4damxsDCGsXbt29LAXX3zx3HPPHTvrySefLBaLxWJxy5Ytowss8/n8D37wgxjjrl27nnvuuba2tqNutHDhwjRNf/jDH8YYd+7cOeEx4w/O5XI/+MEPQggvvPDCu9/97q6urskW9y1YsGDWrFn3339/rVYbHBwc7YKTjXxannnmmZGRkck+nfC+AAAAwMyrVqs/+9nP1qxZ89hjj6VpevHFF99///1XXHHF2AHHhoIzzjhjLD6MLxVTjBJPPvnkgQMHQghPPPHEJz7xiRDCyy+//P73v7+pqWl4eHjFihVHbbHd1tbW399/1EVKpVKpVGpqajp2ktdkwx67+/gyMzrL7ChjeSeEMFp+pujGG2984YUX3njjjamfcmpNELD+/M///KitvEIIc+bM2b59ewhhxYoVq1atmjt3bkdHx/gDxn7iw8PDhUKho6Nj3759Y/u+Dw0NHRunZs2atX///uMfM/7grq6uz33uc2PvtLe3TxawZs+e3dPTU6vVxr852cinpa+v7zifTnhfAAAAoC6eeeaZu+6663vf+97ZZ5+9e/fusRVzo44NBR0dHfv37x87YKxUTDFKjF2/WCw2NjYmSVIqlTZv3rxs2bJXXnll3rx5R022Gh4ePnamVaFQKBQKxWJxsi81xTIz4bljeSeE8MADDxy1iftkd7z00kvz+fxPf/rTyQ6YAZNu4j7eokWLuru7N2/evGjRouuuu+7b3/52T0/P4sWLly9fPtkpR/0ZTLjT1tDQ0ITHlEqlhoaGfD4/uih09O9KsVjcvXv3l770pakMuFgszp49+6ivcOzIJ7zR8Y3FqckGedR9AQAAgHoZGRlZv379RRddtGzZsm9961vjP5owFExWKqYYJVpaWkbDU3d3d19f3+iUnRdeeOGiiy4KIWzcuPGoKS/bt29vbW0966yzxm/ZfuGFF+7Zs6dYLObz+WPLw9TLzLFG886xG5Sf0OWXX97a2jrW7y644ILu7u6xiWAz43h7YCVJ0tnZuXr16o985COPP/54sVjs7OwsFot79+6NMR5/y6odO3a0t7dfcsklhUJh6dKlYws+x9u5c2dbW9uxx1Qqlf3791966aWFQmH16tUdHR1jB69evfqoiDgyMjJv3ryj9sDfsWNHmqZXX311c3PzggUL3vGOd0w48glvdJQJrz/ZucfeN03Tu+++e/Rv/2/8xm8sXbo0hPC+971viptwAQAAAG/GT37yk4svvrhcLu/evXv8+xOGgvGl4qyzz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" alt="Workspace ▸ GraphRAG"></div>
+<p class="rg"><b>Đồ thị</b>: node theo loại, cạnh có nhãn quan hệ · <b>Phải</b>: hỏi đáp dựa trên đồ thị</p>
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Cổng tra cứu tài liệu ISO</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i on">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Cổng tra cứu tài liệu ISO</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="r tb"><div class="ttl">GraphRAG</div><div class="inp grow">…\workspaces\cong-tra-cuu-iso</div><div class="btn pri">Quét</div><div class="btn">Xuất PNG</div></div><div class="r grow"><div class="c grow"><div class="r tb"><div class="tab on">Đồ thị</div><div class="tab">Tin nhắn</div><div class="grow"></div><div class="s">1.902 node · 3.418 cạnh</div></div><div class="b canvas grow"><div class="node ok">ISO 9001</div><div class="arw">→</div><div class="node">Điều 7.5</div><div class="arw">→</div><div class="node">Hồ sơ</div></div></div><div class="c w28 pane"><div class="hd2 row">HỎI ĐÁP TRÊN ĐỒ THỊ<span class="pchev">›</span></div><div class="msg u">Điều khoản nào nói về kiểm soát hồ sơ?</div><div class="msg a">Điều <b>7.5.3</b> — Kiểm soát thông tin dạng văn bản. Có 12 tài liệu trùng số hiệu, xem <b>trung_lap.md</b>.</div><div class="grow"></div><div class="r tb"><div class="inp grow">Đặt câu hỏi…</div><div class="btn pri">Hỏi</div></div></div></div></div></div>
+<details class="ctl"><summary>Kiểm kê control — <b>10</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>sctx.config.cowork_output_dir(</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\structure_graph_view.py:220</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Browse…</td><td class="mut">nút</td><td><code>self._pick</code></td><td class="mut">ui\structure_graph_view.py:222</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Khóa phạm vi quét vào đúng thư mục sandbox của 1 project — p</td><td class="mut">droplist</td><td><code>self._on_project_changed</code></td><td class="mut">ui\structure_graph_view.py:226</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Scan</td><td class="mut">nút</td><td><code>self._scan</code></td><td class="mut">ui\structure_graph_view.py:228</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xem mọi message hội thoại nhóm theo ngày (dạng JSON).</td><td class="mut">nút</td><td><code>self._toggle_messages</code></td><td class="mut">ui\structure_graph_view.py:242</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xuất PNG</td><td class="mut">nút</td><td><code>self._export</code></td><td class="mut">ui\structure_graph_view.py:248</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">cây</td><td><code>self._show_msg_json</code></td><td class="mut">ui\structure_graph_view.py:268</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thu gọn bảng Agent</td><td class="mut">nút</td><td><code>lambda: self._set_agent_collapsed(True)</code></td><td class="mut">ui\structure_graph_view.py:288</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>vd. cái gì gọi hàm main? file nào định nghĩa class?</td><td class="mut">ô nhập</td><td><code>self._ask</code></td><td class="mut">ui\structure_graph_view.py:299</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Hỏi</td><td class="mut">nút</td><td><code>self._ask</code></td><td class="mut">ui\structure_graph_view.py:301</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Hai hàng toolbar riêng biệt — nên là một.</li><li>Nút <b>Messages/Graph</b> đổi hẳn nội dung pane nhưng trông như nút thường.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Gộp hai hàng toolbar thành một.</li><li>Messages/Graph thành cặp tab rõ ràng phía trên pane trái.</li></ul></div>
+</div></div></section><section class="sec" id="monitoring-tổng-quan">
+<div class="hd"><b>9. Monitoring ▸ Tổng quan</b><span class="tag">ui/monitoring_tab.py:132</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Chi phí, tài nguyên máy, sandbox, nhật ký gần đây.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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UsAAAAAAyIY3zA02nFENjWgmhFk8mTEKuFFqiQkuh0FffuzmqZOXxiAIWAAAAQO2lcb63eW4pyYeQ1ngkldAfGpLmuU09r2ekYQlYAAAAALU30DSrVM7VvF4NKpVzA02zGro31HogIQhYAAAAADWX1LUMpA3ZqVdVA2lDXV1LrtQ9yjH5fF0cR+EQm3WllUpaLpfGPRIBCwAAAKDGSnWT0iRb9SqEkCZpqW7SKAGrUCgcKl1VRXEcFQqFYrE4vpHU4MGHAAAAAAyVxA1pSEd5e9Ostv+8bP6r9/39Jy9ZMPqRR/ctiRtGGnM+Xze2ejUoyufrxvf5MQMLAAAAoMaSNA7piDOwPvbuay5YevGUurrHXu6efer8sPKlCR3YCOL4sOpVCCFE0WGfsu9e4zsNAAAAgKMnHfGt0HjRkkt37+oLIbROb33rsnM/cc3iWQ3R1fOmFqKRzzqabyOZuICVa2lpGd+ZZEFTU1MIYdwrSAEAAICJVygUkqQy9JWBuqlpZYSjk9KefOtffviqxedOP3Vmy/S5p1y9/B3vv+wt7/7YRzpXP//7jTuP6VDjOKov7Rn6Si6Xq4aIXG48C/uSJBnHWZYQAgAAANRcmo4w1ynK5a+/efnc6XUhTUIIUaW8af3mR57dPf+FzStWvTZ41qR8uPmS8y676E3zZs8o5PMdXT2vrN34kxWPrVi3K3Obwx8+AQsAAACgxtLqnunDWbD0onNmz0jTYnXLqf6+8ovPbmhpqFt09sknF8L6NA0hXDT/pG/+1/9y0hnzQ0gGF/0tfkf+/Z/6+Ir/+d1PfO2HfeONWCNvzDWhLCE8vllCCAAAAMed4ZYQTkkrw7eia9938+ltk+dPrwshRFHI5+M589rPXjSrefqMgc0bVqx6ramp5cff/r9PmjszDZUQ0iiEKEQhhDSthJCcfuHSqXu2rVj12viGGsdRQ3nv0FdqsoTQJu4AAAAANZeOtIX6zLlzS109PT2l6lEhCnWFOKSlkFYuWnJeSMOFb1k84+Sp/+3L3/4vn/9yFOXSEKdRlIbopz/7zcc/+X8O9Pe8/4M31odxb+CeiSlYlhACAAAA1NzIz/traCp3d+7Z09fS2BziKKT7nuSXpuUpU6eEUGlqbu7uKa/41W83bd5x+WVLq9cpJ5V77/3xz3+x8r/+P7dNnj5zSj7dVpq4D+aoE7AAAAAAai0N6QjbTZWL/Tv29u3YlZ8zsyFNoxBFURSFEIWkGMVxmoZnX3vtN6v23vHV/z6zvX7q5Prq5dI0vOuGt+3Z2z0wEP3guTXbiuPdzCqNxvshHU0CFgAAAECNpSPPwNq6eUt+b7m3lJyzYHJ9Pg1h3xystBJ2bdv+vmULzj/3rNc7el/dm8yaXKmP+1oacvV1UZSmxWK5v1zZU678v/98z0iPOBzbwGrPJu7HN5u4AwAAwHHn4E3c+3OT02T4VJSb3H7O7Dl9nd17+6OFc1r2T4hKQxR37uq96D+9603nLWjPlScnfds6enpDvKsn2dFd2tFT6iqVy6WBkxvKN50+6Y01a9fu7R3HUOM4akg6/mg8tdjE3QwsAAAAgJpLwwiL/Fav/M1/uvzq0N330is7LjxryqwpdSGEEKI3dvVsrjReNrsphPSkmS0hCpeFKIRq4IoGt2FP0zSK5nznqsv/2+e/+N8feebwJ1SZgcURMwMLAAAAjjvDzcCaVKkMn4qSvu7G0848pbGlUk66+9MFc1rjOCRJ+sBjm9/x1tPy+Sjs2xMrjUKIQiWENBryEMEoikKIo0L9pddceWGxs6+r65XdXWOPUnEcNSSdQ1+pyQwsAev4JmABAADAcWeEgFUZ6fiNa9desPz6qKu3ZyDt6yrt7Sw+t3bvgtPbT57WGEVh/6LCKEQhjaI0VB9TmKYhRCHq6Orr7u7v7esvp3UnzZt9+pLLr59V+OVTLw6MLWLFuXjsASuO43w+H0XRSBvSh/EGrHgc5wAAAABwNKXpKG/F3W/c851vh5OmlUPUW47X7yjuKkXnntYWwh+WHqbVZJXuWz0YQhSFKETxQClNKiFN056entZ587v37rryU5/4X1/8zEn5aPSb/uFtzOrr68844/R58+bV1dUd3U+PGVjHNzOwAAAA4Lgz3Ays1pGWEFZ1b9/8yqZNrWcuKOZy2wbSD18+u7E+3j/3at8+VVH1f4NvIYQQNm7tmjtnWnNj/ZZte2ZMn9S7e1eI45Z5p169YM6PH/ntIedhxbmoodI19JVRZmDlcrlZs2adeeaZpVKpq6tr2DlllhCeiAQsAAAAOO4cHLD64tZKMuISwqrendtXP/bItu7ez9x0xYJZDVFIoxBFofq/fX89QBRCa3Nhz57ent7+k6a15HJJc9vUV156fUqh1HTeW86Piw888eLoCSuO48YxB6wkSfbu7WhoqD/ttPlJknR2dh7csCwhBAAAADhOjW01X5pecfnly85oDqG6w1V1slUURX/Urvb/Mk1DqC/E09sbZ7Q3NzTkorTS3JTvzE2aNnNa79ZNy/7izz+xdOGh1g8e3lMI+/r6XnjhxS1btixatPAoriUUsAAAAABqbWyZqK617c/e9qZ8XG1X+54yWH3XAREr+sNL+1+u7upeKU2a1NBXjmbPmFzq7/vLv/ncKfWj1qHD61chhNDX17d+/ev19fVz5swpFAqHff5wBCwAAACAmkvH8rbwwiVntOXTkEbV3dqrZ+7fZ/0PrWnIUwCHrCzc9/fp7U3bdvY1tjae3JxrO+WU/+O9Vx/qvoensbFx3ry5AwMDGzduPFq7HglYAAAAADU3pvWDb37z4hltuepzBqP9ZSkKIU3TNE2j/VcaGp2qv4qiwacTpvOnN67b0RfSENXFTS2Nt9z6sZPrRn4M4mEGrMbGxnPOOXvWrFkvvfTy+vXrS6XS0fjkCFgAAAAAtZbuj1CjCenZb1oUx3G675Q0CtXTqvlpyMMI4ygKIUqHzMRKq5tmhRCi/v7+YiUOIYrTNJR6CrNmv3vZuSPf9DDU19efddaiU06ZvXr1S+vWrTta9SoIWAAAAAC1N4ZSFDe2zp0Ur3ujK4qi4Rf4HfAUwqj6cMI0CpUQKlFaidJKWiqteWVdX5KWS0laSUJSSovdl1265EgG9ocRxnFfX9+qVauO4tyrqgOfdwgAAADAhEsPmYpyrW3thcobW7fPnDy3qRBHUQhpZf87o/0rBUMa9lenPywA/MOVd27bUUrSfC7as6d3+tT6kKah3D9rZvvIdz+MgDUwMLBmzdpKpZIkydjPGgszsAAAAABqLQ2H3ME9F+dL5SSXljdu3xMq5bRS2b/ILw2hEkIlpElIkyjd9w8hVAa3wKr+PU3Tnbu7QghpFO3YXdwfrdLd/SPf/XDWEFYqlVKpdNTrVRCwAAAAAGpuLFu4l7r3vrCpXC6ne/d2pZU0JElIKmHIPlVRFKJo2KunIU3TStLVW+xOojSEniTesrNUqoRiOTy7tvfVjXtHue8EfhpGZAkhAAAAQK2lh15CWO7YubmYpi91n7OwpadYaSlEIQ2hkoYQ0iiOopBWnzW4b+ZUVJ0/lYbBDJV295WiOGzfW+nJxZ3F9IFH96RpCFF46aXVI9798LZxP1bMwAIAAADIgEOsIAwhTZ97/plK86Tfr+rctrM/DVEawr6d29M0rVTSJEnLSZokaVIZ/GuoVAY3wiqVK70D6fquhkKcS0Ochijk44bQ+ZPfPDbiTbNBwAIAAACotfTQ+SqEdOW//iA+Y245zT37UufTL3Z09STp/tlV+y6SpqESQmX/+r8QVQtX9aj+YvrMmuLmSvF3L7+6Z8bUjvbJT2x89X//wt9u6xkYeQ+sTESsXEtLS63HwPg1NTWFEIrFYq0HAgAAAIxVoVBIksrQV/pCY1I+9N7nSW/X9oH00uXXtBaLnT3Jhm39ezpLIUQN9bk4ri4gjMK+v0chxIPPINzbnazZ3P/c+oHc/FPu+vb/d9W5b54ckmXTcv/X//aX2zo6R7ljLp9rivr+6JVcrhoicrnx7Ew1vi3e7YEFAAAAUGP7HyZ4aM/df++PZ835xHuXF9dvLw2Utu4ub9/THUfR5Jb8pJZcU0Ouvi6O46iShmI57RuodPYme7rK/aVKnI/bF5y8rrO8Z9Om3zz15DnnnDZpb/+2gWT0+6ZpGobdGH5iCVgAAAAANTf2lXrpztUvrF1zwfT5M1p7+/u37U2SShLSnR3lnR3lfTtihbBvh6wohBCiKGpsb2maPXXN5s5JvX09PV0P//B/PvzDoz6wY0jAAgAAAMiAMe82VSwWpyWlrpc375w6+dSzZtd19xX39JS7+yuVyr55XFF1f/eQK+Qa21vqp7Vu7RxY9+K2acViT0NDuXNXRna2GjsBCwAAAKDmDmO79J27dqVx1BxFTZ1dG5/rCpObGiY1Nc6cMrUuCsVypVQJIUS5uJKP3uhPdnT09j29cVpUmZGLQxS279mTDvQczrSqTKQuAQsAAACgxtL9TxMcix0bX7tk8UmzJudL5cqeztLrb/S9vm13/+Z03ZTWZFLTsukN23rKO7rK3Zt2To0qDSGcOa1+zszGk9sb4ij+h+/9Kj2c6VeHdfCxI2ABAAAAZMCYS1Gla+fvX15/6rL5+UJonJafNW3SefNbHn9x767uvujkSYun1z9XqfRt7GwuRKfPaj1zdlNrUxxCGkIUQvzYY7/NxpyqwxPXegAAAAAAJ7x9TyEc21ua/o9v/WBvTxoq+05sbYguO7ctLZXjgeKmDTuT3v5SGt563pTFZ7bsq1dpiNLw/Ou7fvdvjxzGjQ5nYeMxlWtpaan1GBi/pqamEEKxWKz1QAAAAICxKhQKSVIZ+kpvpVApJ2O/wrZ1rz69tRS3ztrTH/X2VbZ3lH67tnPH3q6mHdv3btrRtXXHG939PZWoubm+tSEfhbizr/LC5p6HfvHbV19c1d3TM/Ybxfm4Of6j7JDL5aohIpfL7XvM4ZilaVqpHMaHOSiaOXPmOE4jI9rb20MI3d3dtR4IAAAAMFYtLS3FYmnoK7uTlv6+w56eMnVyW3Nza9tJsxsaG+e3T5o946T2timTWyfl87kQRSGkPeVQyjdGUTrQsXOgp6O7p3fD5s3//h+/27V39xhv0dBYmJr7o+xQKNRVQ0Q+XxfHh7e2r1KplMulQx93EHtgAQAAANRYXVzpP/y1erv37t29d+/GzRtDCE+MdFB1jtR4FwLWxZWR3lUulwqFwuFMwkrHV6+CgAUAAABQcw1xqScXV5IRa9H4HcEeVnEubohLo1yhWCzm83VRFEXRaBkrTdM0HX+9CgIWAAAAQM3VpaWmxqburvHsD3XsNDXm6tKB0Y85kiw1dgIWAAAAQO21RH3lpsa+3kMEownT2FTfEvXVehT7CFgAAAAAtReHtC3fl2tp6O0rV8rHYC3h2EeSj5sa861xX3wk6w+PKgELAAAAIBPikE6O+xqb6/ordaVyOBY7Yo0uF4e6fGiIk0LIytyrKgELAAAAYEKlaRpFUZoOP7+pEEqFuBQKEzyoMYmiqFKpweyweOJvCQAAAHAiS5Jk9Mf2ZVYcx0lSg53m8+3t7RN/V46ulpaWWg8BAAAAGKv+/v5CoVCLmUxHKorCEQas8UWMfHd395HcFQAAAIDDVVdXl8vFycRvc3UE8vlcmqblcvlILjK+EmUJIQAAAMBE6+/vz+VycRzHcdbjTBRFuVwul8uladrXV5vN3W3iDgAAADDR0jTt7u6ur6+P47iuLp/lLbEqlUqSJEmSHOHcqyMhYAEAAADUxsDAQK2HcHzI+iw1AAAAAE5wJ2jAOvvss9/znvfUehQAAAAAHNrxF7DOPffcd77zneM7d8GCBbfffvucOXMuvPDCn/70p0dlPG1tbR//+McbGhqOytUAAACAjFi6dOkNN9wwxoNvv/325ubmYzqeE9nwe2DdeuutM2bMCCEUi8WdO3c+99xzv//979M0ndixDWPy5MnnnXfev/zLvwy+cvHFF/f39z/99NOHPLepqen888//1re+tXz58nvuuadUKo3ljqNfP47ja6+99v777+/v7x/jhwAAAAAca7feemsI4Zvf/ObQF1tbWz/72c/+27/92+OPP16jcQ1jwYIFF1100cyZM9M03bp1669//euNGzcelSuPknduvfXWX/7yl+vWrasemc/nP//5z//93/99uVxuaGiYN2/eOeec09PT87Of/WzoBevr6z/zmc88/PDDzzzzzFEZ4diNuIn7Pffcs379+tbW1tmzZ19xxRWnnHLKAw88MJEjG1ZHR8e999479JWpU6fu2LFjLOf29vb+4Ac/CCHcc889Y7/j6NevVCrf//73x341AAAAYGK0tLTMnz9/sNGEEJYuXZq1CSiLFy++8sorV6xYsWbNmjiOFy5ceMstt/zrv/7ra6+9dlSuP468s3Tp0qampp07dx48oeySSy6p1dMSc21tbQe/esEFF7z22mt79uwZGBjYsWPH2rVrr7322rVr13Z3d59//vk33njjVVddNW/evLVr11bnMd1+++27du26+eabr7jiiubm5upnedq0ae973/uuu+66M844o729/eyzz3711VcPuFFbW9tNN9103XXXLVy4cNq0aWedddarr77a1NT0uc997rHHHqse86EPfWhgYGDXrl2TJk266aabli9fvmjRoq1bt3Z3d3/oQx9atGjR6aefftlllz3xxBNDn+bY2Nh4/fXXX3/99RdffHFHR8fOnTsPHvlINxq8yAHX/+u//uuurq4PfehDpVKpo6Nj2HMPvu9R+70CAAAAxuaCCy5Ys2bNmWeeuWrVquorhULh+uuvf/3113t6ejZt2hRCGDZxtLW1vec977nuuusWLFgwMDCQz+erNePgKHHAHS+99NINGza8973vvfrqq2fNmrVu3bpyufyBD3ygUChs3bq1OoDbbrvt6aefHswXhULhAx/4wP3337969epSqVQsFrdu3VosFt/2trc9+eSTI1WLsZeZUfJO9V179+6tXjyO47e+9a0rV66sVCqvv/76mjVrTjrppKampqElZ+bMmYsXL96yZUtHR8e2bduO1e/cCMa0B9bu3bs3bdp06qmnhhBmzJhx//3333nnnWmaXnTRRYPHnHfeed/97nfvuuuuN7/5zbNnz46i6KabbnrttdfuuOOOFStWnHvuuQdfNoqiW265ZePGjXfeeeeKFSvOOeecUcZQPXjTpk1f+cpXnnjiiRtvvDGO47vvvvuZZ55ZsWLF3/7t3x7QUG+++eZSqfSNb3zj3nvvraurG2Xkozj4+qeddtrXv/71p556aqRTDr4vAAAAMPFWr149ffr06dOnV3+5ePHil156qVgsDh5wcCiIouh973vfhg0b7rzzzl/+8peDpWLYKHHwHZcsWXLfffd97Wtfi6Lo6quvDiGsWrVq4cKF1fcuWrTotdde6+vrGzz+1FNP7evrW7NmzdCLPPfcc+3t7ZMmTRrp4xpjmTn4xKF553DV1dXdcMMNB6wonEjDLCH85Cc/OX369A9+8IMhhAcffLC6rLGrq6u+vj6EsGLFiuphL7zwwplnnjl41sqVK3t6enp6etauXVtdYJnP5x999NE0TTdv3vzMM8+0tLQccKPZs2fHcfyb3/wmTdNNmzYNe8zQg3O53KOPPhpCeP7559/61re2t7ePtLhv1qxZkyZNuuuuuyqVSm9vb7ULjjTyw/LUU08NDAyM9N5h7wsAAABMvCRJnnzyyaVLlz744INxHC9ZsuSuu+665JJLBg84OBSccsopg/FhaKkYY5RYuXLlnj17QggPP/zwxz72sRDCyy+//I53vKOhoaG/v/+ss846YIvtlpaWzs7OAy5SLBaLxWJDQ8PBk7xGGvbg3YeWmeosswMM5p0QQrX8jNHy5cuff/75N954Y+ynHF3DBKx/+qd/OmArrxDC1KlTX3/99RDCWWedde65506bNm3y5MlDDxj8jPf39xcKhcmTJ+/atWtw3/e+vr6D49SkSZN27949+jFDD25vb/+bv/mbwVdaW1tHClhTpkzZsWNHpVIZ+uJIIz8sHR0do7x32PsCAAAANfHUU099+tOffuSRR04//fQtW7YMrpirOjgUTJ48effu3YMHDJaKMUaJwev39PTU19dHUVQsFtesWbNgwYJXXnllxowZB0y26u/vP3imVaFQKBQKPT09I31QYywzw547mHdCCPfcc88Bm7iPdMdly5bl8/n/+I//GOmACTDiJu5DzZkzZ/r06WvWrJkzZ84111zzs5/9bMeOHXPnzl20aNFIpxzwezDsTlt9fX3DHlMsFuvq6vL5fHVRaPXPSk9Pz5YtW7797W+PZcA9PT1Tpkw54EM4eOTD3mh0g3FqpEEecF8AAACgVgYGBlatWnXBBRcsWLDgoYceGvquYUPBSKVijFGiqampGp6mT5/e0dFRnbLz/PPPX3DBBSGEl1566YApL6+//npzc/Npp502dMv2888/f+vWrT09Pfl8/uDyMPYyc7Bq3jl4g/JDuvjii5ubmwf73XnnnTd9+vTBiWATY7Q9sKIoamtrW7x48Xvf+95f/OIXPT09bW1tPT0927ZtS9N09C2rNm7c2NraeuGFFxYKhfnz5w8u+Bxq06ZNLS0tBx9TLpd37969bNmyQqGwePHiyZMnDx68ePHiAyLiwMDAjBkzDtgDf+PGjXEcX3nllY2NjbNmzXrTm9407MiHvdEBhr3+SOcefN84jj/72c9W//R/+MMfnj9/fgjh7W9/+xg34QIAAACOxO9+97slS5aUSqUtW7YMfX3YUDC0VJx22mmDpWKkKHGAyy+/vLm5ua2t7ZprrnnuueeqL65fv37GjBnnnnvus88+e8DxfX19//7v//5nf/Zn55xzTmNjY2tr69KlS9/2trf94he/CCOUh7GXmUFD887Pf/7z3t7esZw11B133PG3+z3//PMPPvjgBNerMMoMrA9+8INpmvb392/atOmHP/zhhg0bQggvv/zy2Wef/elPf3rHjh0vvvji3LlzRzq9WCzed99911577ZVXXrlmzZrnnntucI3l0GN++MMfXnvttVddddXatWuffvrpwYT005/+9IYbbrjkkkuefvrpzZs3hxDK5fIPfvCD66677u1vf3upVHr55ZcffPDBEMKzzz57yy1qS18sAAABbUlEQVS3fO5zn/va1742uBNbkiTf+973rr322s9+9rPd3d0PPvjgtm3bhh35wTc6wNDrH/Cug889+L7RfiGEg/8BAAAAOKY6OzvXrVu3evXqA14fNnFUa8Z111131VVXvfrqq4OlYqQocYC1a9d+4hOfiON41apVg08PrFQqr7zyyrx584bdQOrxxx/v7Oy86KKL3vnOd1Y33d61a9fgMsaDy8PYy0zVYN7ZuHHjfffdt3HjxsP67GVHdMgP9ah417vetW3bttFXSy5dunT69OnD/gkAAAAAOE5df/31O3fuHMseUoVC4R3veMeZZ5750EMPvfTSSxMwtuPFmPbAOhKFQmHRokULFix4+OGHj/W9AAAAADJl7ty5Y68ixWLxJz/5ybEe0vHoGAasj3zkIzNnzgwhbN++/fvf//5IT38EAAAA+JN04403zp49+4EHHujv76/1WI5vE7SEEAAAAADGZ7SnEAIAAABAzf3/AkbosUC4/1wAAAAASUVORK5CYII=" 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" alt="Monitoring ▸ Tổng quan"></div>
+<p class="rg"><b>Trái</b>: Token & chi phí · Hoạt động · Tài nguyên · Bảng giá model · <b>Phải</b>: Sandbox · Quyền · Audit log</p>
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="ttl">Monitoring</div><div class="r tb"><div class="tab on">Tổng quan</div><div class="tab">Bảo mật</div><div class="tab">MCP</div><div class="tab">Hành động</div><div class="tab">Agent</div><div class="tab">Agents Admin</div><div class="tab">Công cụ</div><div class="tab">Icon</div></div><div class="c grow"><div class="hd2">TOKEN &amp; CHI PHÍ</div><div class="r"><div class="b kpi">395.4K<span class="s">Tổng token</span></div><div class="b kpi">$0.31<span class="s">Chi phí</span></div><div class="b kpi">57<span class="s">Lượt gọi</span></div><div class="b kpi">—<span class="s">Ngân sách</span></div></div><div class="hd2">TÀI NGUYÊN</div><div class="r"><div class="b grow">CPU 34% · RAM 2.1/8 GB · Đĩa 41 GB trống</div></div><div class="hd2">SANDBOX &amp; QUYỀN</div><div class="r"><div class="b grow">Tệp: chỉ trong workspace · Mạng: chặn · Tiến trình: giới hạn 4</div></div><div class="hd2">NHẬT KÝ GẦN ĐÂY</div><div class="b grow"><span class="bad">✕ Chặn đọc personal.xlsx (ngoài sandbox)</span><br><span class="ok">✓ pytest tests/test_stations.py → 4 passed</span><br><span class="bad">✕ jira.create_issue — 401 token hết hạn</span></div></div></div></div>
+<details class="ctl"><summary>Kiểm kê control — <b>14</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>Làm mới</td><td class="mut">nút</td><td><code>self.refresh</code></td><td class="mut">ui\monitoring_tab.py:149</td><td class="mv">→ lên sidebar cùng RECENTS</td></tr><tr><td>0</td><td class="mut">bảng</td><td><code>—</code></td><td class="mut">ui\monitoring_tab.py:175</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Lọc dòng (hoặc gõ câu hỏi rồi bấm )…</td><td class="mut">ô nhập</td><td><code>table.apply_filter</code></td><td class="mut">ui\monitoring_tab.py:347</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>AI</td><td class="mut">nút</td><td><code>lambda: self._ai_filter(search, ai_btn)</code></td><td class="mut">ui\monitoring_tab.py:350</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._reload_pricing_table</code></td><td class="mut">ui\monitoring_tab.py:486</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Nhập</td><td class="mut">nút</td><td><code>self._import_pricing</code></td><td class="mut">ui\monitoring_tab.py:496</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mẫu</td><td class="mut">nút</td><td><code>self._export_pricing</code></td><td class="mut">ui\monitoring_tab.py:498</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thêm</td><td class="mut">nút</td><td><code>self._add_pricing_row</code></td><td class="mut">ui\monitoring_tab.py:500</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tự lấy</td><td class="mut">nút</td><td><code>self._autolink_pricing</code></td><td class="mut">ui\monitoring_tab.py:502</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xóa</td><td class="mut">nút</td><td><code>self._delete_pricing_row</code></td><td class="mut">ui\monitoring_tab.py:504</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>0</td><td class="mut">bảng</td><td><code>—</code></td><td class="mut">ui\monitoring_tab.py:510</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Sửa</td><td class="mut">nút</td><td><code>self._open_settings_and_refresh</code></td><td class="mut">ui\monitoring_tab.py:547</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Sửa</td><td class="mut">nút</td><td><code>self._open_settings_and_refresh</code></td><td class="mut">ui\monitoring_tab.py:573</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xem tất cả</td><td class="mut">nút</td><td><code>lambda: self.tabs.setCurrentIndex(self.tabs.indexOf(self.action_page))</code></td><td class="mut">ui\monitoring_tab.py:586</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li><b>Sáu group box, hai cột</b> — màn dày đặc nhất app.</li><li>Trộn 3 mối quan tâm: chi phí · tài nguyên · bảo mật.</li><li>Bảng giá model nhét chung hàng với thanh CPU/RAM.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Tách thành các mục có tiêu đề, cuộn dọc một cột chính.</li><li>Bảng giá model tách ra thành mục riêng.</li></ul></div>
+</div></div></section><section class="sec" id="monitoring-sự-kiện-bảo-mật">
+<div class="hd"><b>10. Monitoring ▸ Sự kiện bảo mật</b><span class="tag">ui/monitoring_tab.py:132</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Nhật ký lần agent chạm thứ nhạy cảm: lệnh bị chặn, truy cập ngoài sandbox.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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2NiYujjYbPZ/Qmyo6PjwoULV69e9fHxCQkJ2bVr14gRIwwNDY8ePYqvIxAI+Hx+VVUVw6lV6+vraT59+fJlYWHh9OnT79y5Y2JiInebCUJozpw5ZWVl2F4UFBS8/fbbqampQqGwuroav9GstbUVu8wijRYbs8DDaGtro/+ddjCNGDGitrYW35G6ujpsR0aNGkUs4VmzZtna2o4ZM8bAwIDhY6HD0siRI0tLS7G/iVNKEesw1rKSkpI8PT2dnJxkbwaUIxaLie+/43K5XC4Xb6rBwcHd3d21tbXnz5/HqmuvXQd9wJjMzMyvv/5aV1fXysqqsrIS6+WYR8UQfoJoaWnh8XgsFksqlTKpV/gImlgs1tDQkPuUqhr3qrKy8vz584GBgTU1NQkJCfjbORBCQqFQ9t+2tjaBQIBo2zh9tlS7KdczUG0XQyxAmn0vLS2VSqVcLlfh1orP2o4/OSg7p/tw1d7eTnNrIbEqMjyyspnQ1C7mHTLDgDE3b97cvn37hQsXsPk6u7q6ZH9bUldX7+joQGRVl8lJjbTCy20RFx8fHxYWlp+fL7uQqgzxifNfvnyJX+W2t7fjnQCxPySS7QDpi4UqrWLHRQ7Nvmhraytw5cCw2Ek7DQWOKX03S4yT4QUDVTdFunf979MAAOAVooIBLEdHR3t7e+yW5vHjxyOEOBwOQmjq1KnV1dVxcXE0afft23fs2LHbt29j//b09GzcuFHpEa5bt45q/pS+GqAIB5qnp6eOjk5kZCR+/VFXVyf7G5exsTE2REVc89mzZxoaGmw2G1silUqx6z9ZpLlZWVnV1NQUFhYihEpKSkQi0bRp02i+09LnptiOq6urs1gsYsCkn0ql0vr6+kuXLkVFReH7SxWPhoZG/4NsaWk5duxYVFTUuHHjmpqaKioqdu3aJbvClClTRo4cKbtEIpFwOBx1dXVssED2Kx/VhSnu5s2bDg4ObDY7Pz9f7kqUzWbb29sbGBjIXupZWlq2tbXJfmHAnxcjjXYoa2hoGDVqFDaOgBAaOXIk9vWspaVFroQtLCy8vb0TEhKqqqosLS3x5y5fNxYWFmPHjqX6poSTrcPYizhbW1tjY2P//e9/NzY2Ur0K4P79+wKBwMrKSnZydHt7+8rKSnyoiGoEqp8Bt7e3Yw3Bxsbm1KlTfY2KIXyivTFjxrx48UIqlSqlXlFVY5puAZeVlZWdne3u7r5hwwbZVzG2tbXJDtvhzYFhG5fLlvluUm0XQyxAqn1HCFlYWLDZbA6HM2HChIcPH9IHTPSmppbc6BU+p/tLqXQYv4jwwYMH2JNKTBqaYhWY6igz75D7GrBYLH7w4MGMGTMKCgoQQi9evBg7diw+8GpoaIgPc8hVXZoKL3tuJbYjuS3i6uvrk5OT165dW1ZWhu1mfzqBXvtD+g6QKki5tIaGhgyPC5M+h0jhKwcmxU7sNBQ7pjRdDRHzY0rTTRH3rp99GgAAvFpU8Aghi8W6cePGl19++eWXX0ZERERERGB/37hxo6KiYvDjIfrXv/6VkpKCEJoyZcqOHTtUHc5gEwqFtra2CQkJsmMW5eXlUqnU1dWVx+O5uLi0t7eLRCLSNRsaGioqKry9vbW0tKZMmWJpaUm8QiLNTSQSmZqaWltbczicyZMnW1hYVFZWMgmYNLc+7fKqVav09fV1dXVXrVp17949iUQiFAq/+eYb7JdY4qfjxo1zc3PT1dXV1tZetGjRgwcPenp68CSk8fQnSDMzs0WLFgkEAg6HY21traGhUV9fX1ZWJhAIHB0duVwuvmZZWZmamtrSpUu1tbXNzMzs7Oy6urrq6urefvttLpfr6Og4YsQI+m2JxWJjY2M2m40QKioqMjY2trW1JT4/OGXKFB6Pt2nTJv//ys/PnzdvXllZmYGBwYIFC7hcrrW1NX5xRhotkxhUBRtbWbJkiba2tlAo9Pb2xuazJ5awUChsaWnBjqbcvDyvAzabLRQKHR0dN2zYkJiYSDVwQ1qH8U9ramoOHz68bt06uQlxcG1tbcnJyf7+/rNnz9bW1tbX13dxcfHw8Dh9+vQABSzr6tWrCxYs6OjokDtDKTEqT09PXV1doVDo4+ODPXhLVa/61DqoqjFVt0DMXCQSyT3sjLVlZ2dnrI3PnDlTdjnDNo5ny7z5UG0XQyxAqn1XV1dfs2bNmTNnLly44Ovrq0A/81Iq3dX4Qu5mq+sS8a7GFy//exfGsNTS0pKSkhIQEDBnzhxdXV1dXV1HR8dZs2aRrqxYx0h1lJl3yEwClj2/I4SuX78+d+5c7O8///xz6dKlZmZmGhoa2GRGcnOZ41VXsQpP3KKsa9eudXd3/+Mf/8D+HYiTC/MOkBgkMS3z49LXSxFMP68c6Iud2GkodkypCoEU/THFayaTbgoPoP99GgAAvFpU9hZCZcGfE9TR0Vm/fv3MmTPZbPaBAwews5GlpaWfn5+BgcG1a9cOHDggl9bb29vDw4PL5V69evXo0aO6urrHjh1bvnw59unOnTsnTZpEfE+wqalpUFCQhYVFWVlZSUkJn8/ft28fQmjEiBEBAQHTpk3r6OjIyso6ceIE9iC6Yk8yqpCRkZFQKDx8+DC+5MCBA9jLYvz9/b28vB49eoTdd0O15vfff//BBx9ER0dXVVUdPnyYeIUklUqJuT158uTEiRM+Pj7Y71c//fQTw9+RSHPrEz09vS+//LKjo+Pu3bvHjh3DFuLvFiB+2tjYaGVl5e7u3tnZWVRUhG8RS0IaT3+CrKurc3V13bFjh5qa2pMnTw4cOIBVp7i4uJUrV/r4+HR0dBQUFMTHx3d2dsbExKxcuXL37t1NTU3x8fEIoZMnT65du3bRokWZmZnYlRaN7OzsoKCgPXv2fP755xKJ5Pbt25aWlo8fP5Zbbe7cuVlZWbJTaP3yyy+hoaGJiYn79+9ftWrVsmXL7t69e+PGDWyKja6uLmK0DGNgXlBK1N3dHRMTs2rVqt27d7e2tmZlZWHPFBNLuLKycvbs2bt27Xr69GleXh79pODDTHBwsFQqFYvFZWVlBw8elH0xXHBwMP53QEAAVR3GlZaWnj59OigoaPfu3TU1NcRtXblypaGhYeHChX5+ft3d3WVlZXv37iW+tEtZAcsOytfX1xcXF8u+3Uy5USGE7t27t23bNjab/eeff165cgUhdOvWLdJ6Jds6es2Wqhojim4Bz/zEiRN+fn6amprV1dXHjx+XzVMikRw8eHDlypXLli0rLCzMzMzEbrRk0satrKzWr18vmy3VbhJRbRcvwLCwMBaLhRcg1b67u7vjLzF0cXFxdXXt65zHhR3kndIwvvcKl5qa2tDQ4Orq6uvr29raeufOnQsXLpCuyfzIyqI6ysw7ZCYBY8+L4fNz379/f/Xq1fr6+g0NDenp6VpaWuvXr9fT03v27NmlS5fu3LmDyKquYhWeuEXZ9aVSaXx8/Pbt2/tThjRoOkAiuSBJ0/bpuPTpUgSj2JUDVfclt0fEXlexY0rTzRL1ekyxmrlo0SKqbooYQP/7NAAAeLWwBn/K4UWLFmGvdNEQAAAgAElEQVSTdMot9/Dw6O7uvnz5Mk1auUcIkczw0LfffisSiU6dOmVgYDBhwoS0tLRz587dvn37wIEDAoEgIiLiq6++unfvHp7Q0tJy8+bNISEh+I0AxAGsn3/+We79NdicVtnZ2f/5z39MTU0///zzvLy8ffv2sdnsvXv3Ym/P1dXVDQ4OvnPnzsmTJ9EAD2Bhv2K1trYqlpzP5xOnTQEqJJFImPz0N2h8fX2rq6sVng/u/fffr6ysVMp0cko31Ip6yIKCUhaqkoyLiwsNDe3rU4dg4ECdf91KwN3dXSqV0l9/vupbVMArEWSf4HsEvS4AAAwoiUSCzWyOv5sIh/0yxOfzFR7BUMGNprW1tWPGjJF7wTaLxTIyMpKdvLNPJk6cKBQKDx482NjY+PDhQ/wL89mzZ+vr6x8+fHjr1i1swnhcd3c3j8fr68vOLS0tORxOYmJiW1tbSUnJ1atX8eWampqnTp1qbW2tqqr64YcfnJycFNsXAIYIS0tLGxsbqhcY0eNyuXZ2djNmzMjNzVV6YAAAUkf/17x58yAeoEICgWDr1q1KzNDPz8/a2lqJGWKys7PnzJkjd106oAZ/iwp4JYLsk+G3RwAA8BpSwSOEhYWF8+fPX7p06d27d7FHtXt6eqZNm8bj8bAJvBVgZGQkEomIk1Ljs2+2trbKvaakrKzs+PHjYWFhjx8/PnDgAP1L3HGjR49+8uQJ/raR5uZmbAhs9OjRVVVV+PKamhri26kAeIUEBASYm5sfO3asra2tTwlDQkLGjRsnlUqfPHmyb98+/AVDAICB1uuLFwfZUIsHDLLGxsavv/5aiRnKPdCqLI2NjV988cVA5Dx0tqiAVyLIPhl+ewQAAK8hFQxgdXZ2Hjly5O233/bw8NDV1UUINTc3V1RUHDlyBJs0SgFNTU1jxozpa6pff/01LS3Nx8cnNDQ0MDAQe2svh8PBwiCdY7KlpUV2+ejRo7E/nj9/bmRkhL+FxNDQUOG7yQAYCmSnNuuTyMhI5UYCwPAWGBio6hAAAOA1Ar0uAAC8ulTzroq2traLFy9GR0fn5ubm5uZGR0dfvHixrzd6yCoqKmKz2WvWrOHz+ZMmTVqwYAHDhFKp9OHDhxwOByHU2dlZXV29dOlSLS2tRYsWjRo1irh+SUnJyJEjPTw8tLS0Zs6caW9vjy0vLS1FCK1evZrP5xsaGq5bty41NZVqo+rq6seOHcOmJt21axf2nh1seu8+7jcAAAAAAAAAAADA8PfqvYVw586d2B8tLS3vvfce9ndnZ+f27ds3bNjw448/NjQ0YK8FpDdz5szNmzdraWk9fvw4JiYGWxgbG7tp0yYfH5/U1NSSkhJiKrFYvHPnzo0bN/r5+eXl5aWlpfF4PIRQV1cXFsCxY8daWlp+/fXXS5cu0WydzWZjj0/K/gGP5QMAAAAAAAAAAAAQqeAthLIWL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xffv2xRgXFhYePHhQrVbbVgZjXF9ff+7cuUOHDjGXw2xrhVetWkWSpN3w5enpuWbNmoMHDx49epTa4qBWD0NcXJxOp/vf//7XyZljjN95552HUWiPc6FF/1Fj3RseXgihMwYdQmiMRPaGh9dHjXXMaVmPnoCAgKlTpw4cOFAgEOTl5e3YsaOxsZF1zxs3bkyYMOHDDz88cOCA2dy232wTExMnTZpE/V1VVUVfbh1YYbFY/I9//GPVqlUGw6+T5jZs2LB69eqqqirqn0FBQS+99NLKlSudLt0Wa4mrVq2SSCTvvPMO/Qz1WbNmIYT279/vdEGs4yHrAPj666/bDbb/+9//hg4dyqwk1+DZfXANX6zNDgAA3ZlFJG/Bki6fe2WnBUtEIrnApHGwj1AoIkkCtbJYF7ZasdlscromEMACLPz9/Tdu3Njc3Pzcc88tWLAgNTWVIIg//vGPV65c+fTTT0eNGvXKK6/85S9/MZlMzD0RQhEREXFxcVu3bi0sLLRYLMz8uXJLSkq6fPnypk2bxowZs3Tp0r/97W88E8pksjVr1lgslkWLFj333HN79uyhIkpKpfLdd99dtmwZnUNMTIxcLi8vL3dzc3O80U58fLztMnVyufzbb789e/Ysz6Mzm82sNed7SgDoftavX5+Xl6dQKIKDg2fOnBkUFPT111/TL1FhKYpMJktOTt6xY8emTZu8vLyio6Ptsho9evTw4cPXrVtnNptZL96xY8fOnDkzMzMzNzeXJMkRI0a89tprn3/++c2bN+kSb9++7e/vv2TJkqamphMnTrSnwhQ3N7fw8PAbN27QW6Kjo3U6Hf3PVmvV4Xr16nXv3r2emPmjhIpbUTEs6o+PGuuojY+28PDwpKSko0eP7t27V6/XDx8+fMCAARcvXmTdGWO8adMm5wrKzMzMzMyMiYnp06dPe6JXDipsNBpzc3MjIiLOnDnjdP5twlUixnj69OmZmZkdWBbreMgcAFkH2xdffJFZSQeDZzfBNXx1/okGAIB2MoncsaV7Ra8QQtiCTSJ3BwEssVjcWuiKQpAkIRaLjUajczWBABZgsX37duqPU6dOjRo1CiEUEBDg5uaWlZWFMT5+/Hh0dHRISMitW7eYeyKEpk2b9tlnn5WVlXHlz5pbXl5eQEDA+vXrDQbDiRMnEhMTRSKRXYiHqxr0J78rV66EhYU5OLRDhw4hhGJiYmxjVcyNSqVyxYoVK1eupH437tu3b0hISG5uLp1ELpc3NTXZ5kwnUalUzEpqtVrWmjuoqi2VSrVw4cK+ffsWFxer1WpXV9dt27YhhNLS0nbu3Dl79uysrKyTJ0+OHj06Li7Oy8uroKDgq6++omqYlpb2+eefz5o1S6lU5uXlbd26VavVUtlSn0QVCsVPP/2UkZHBM0OuyjxiPD09n3/++dDQUJPJdOHChX/9619Ub3R1dX3++efDwsJIkszIyLh48SJrKz0mqB/5L168WFxc/O677x47dqy4uJi5m0KhIEny4sWLVqu1srLSbp7joEGDEhIS1q1bR/dMOxKJJDEx8Ysvvrh27Rq15eTJkwihF1544e2336Z3s1qtxcXFJ0+eDA8PZw1g8a8w5dKlS7GxsXQASyKRREZG0sEpnrVqFdcVyuxX9MTSuXPn/ulPf0Jsl7Ad1m4sl8vXrl1Lf19NTk4+efLkhAkTGa5ykwAAIABJREFUbDMfN25cdHS0i4vLmTNn9uzZQ9Vz5cqVTU1NSqVy4cKFQUFB9+7ds51u5unpuXDhwpCQkMrKyvT0dNaGnTJlil22XKPW119/PXPmTA8Pj+zsbGpPrnIRQn379qUakJ6Ey3XsMTExTzzxBPW9ffHixTU1NdRkwLaiwlVvenghhFIfj+iVSCRavHjx7t27f/rpJ2pLdnY2/SqzK/I/s7aosxwYGFhWVpafn09v5z8gt1ph+s369OnTL7zwAs+4BrPrsnZ4u/dQu1SsJWZlZc2dO/fChQt37961K5SrDbdv3z59+nSpVLp7926NRvPiiy9KJJKjR4/+5z//odOyjod8BkCuZmFNy/O85OXlMcecnJycVo+Fq5HtepHd2Gg3fDGPiGvUdeKcIu7Oydrb+XxgcDxM2VWgo8Y0AED3YSEl2OoogDVM5RkV4PlGyh/Xrf96y9nbnVkxrpeEQhG/6BWNEApFzs3DgjWwgCPBwcHU+3dAQEBRURHG96+l4uJiPz8/1j19fHxEItG4ceM2bdq0Zs2a0aNHM7NlzQ1jfPny5YkTJ7q4uEyYMOHmzZvMCUoOqkGSpEqlioqKsv1I3U7UlCuxWLxo0aIdO3bYTpiXy+Wvvfbahg0bXn31VaVSaZuEtZKtNqADJEkuXbr05s2bb775ZmZm5jPPPGP76uDBg9966y3qm7O/v/+XX36ZkpKCEIqJiaH3mTBhwubNm1euXEkQxJw5c+jtUVFRqamp//znPyMjIwcOHMgnQ8eVeWQQBLF8+fLy8vK33npr3bp1wcHBCQkJ1EvLli0zGo3vvffexx9/7OLigrib/bFSVVVVUFBA9yI75eXlZWVly5Yts71YKCqVatGiRWlpafX19VyZDxgwQKvV0nEiyrlz5/z8/Dw9Pe12FgqFLS0t7aww5cKFCyqVSqW6f8//uHHjLl26RGfeplo5xnqFMvvV+vXrqW8sSUlJ1EQw1kuY5qAbM9lm3qtXr7Fjx77//vvLly+3CzGQJLl8+fL8/PyUlJS9e/dGRkbabr9z505KSsrx48eXLFnCfLJyYGAgM1uuy2fUqFHr1q1LTU0dM2ZMcHAwV7l2DUiSZGJiooNjP3HihIeHx+DBgwMCAoKDg22/8APHQkJCCIKgg0F2mF2R55m1zYQ+yytWrNi7dy/9/tKmAZlnhQmCKCoqEovF9AXuALPrOujw9HsoMxVriY2Njfv27Vu8eLFAILArl6sNw8PD33///YyMjPnz58fGxq5evTotLW3atGnMNZK4xkMHA2CrzUKnde682HFwLA4a2a4XOR6+WI+IOeo6d04dD7PM3s7nA4ODYYpZARjTAHj0WDDpYDmqRdOi//Dqq1GzFp29rfHvG9iZK2FZMGfsiCTbvAwo84MiTxDAApxCQkKmTp26d+9ehJBUKrW9cUav19uuyWq7p1Kp9PT0bGpqSklJ2bZt2/PPP69SqeRy+ZcPjB49miu3rKysyZMnp6WlzZ49++DBgwghngmffPLJLVu2vPvuu0VFRbdvd0AcuqamZsWKFVQEbf78+efOnbObmr5x48alS5e+9957er3+5Zdftk3CWknHDehYYGCgSCTKysrS6XQFBQV2v4v++OOPev39hVf27NlTXFys0+nOnz9vGyA7cuRIdXV1c3Pzvn37hg0bZru9sbGxpKTkxo0bffr04ZOh48o8MoKDg8Vi8cGDB7VabVVVFR2q69+/v6enZ0ZGRlNTU3FxMRUt5Wr2x01DQ4NUKqX+Tk5Opi5bKpqAMU5NTS0tLV21atWCBQvo3RBCkydPzsvLczBhEyHk4eFRW1trt9FgMBgMBldXV3qLUCgcMGBATEzMuXPn7IaOtlaYYrFYTpw4ERsbixASCATjx48/fvx4W2vFB+sVyqdfsV7CNK5u3Cqr1SqVSj08PJgvBQYGCgSCrKwsvV5fUFBArQmIEAoKCqJGBoPBQIUMevfuzSdbB6MWdZXduHEjICCAq1x6Z7oBhw8f7uDYrVbrrl27ZsyYMXv27J07dzp9Hze17lVqY11qY90bHl52a7o/kry8vOjFoZiYXZHnmbXNhOsst2lAbrXCtu/vp0+f5hofbDG7roMOT7+HsnZ41hKzs7MbGhqmTJlit52rDY8dO6bT6S5cuGA0Gv/73/82NTWp1eqKigrbfWzHQ9aDsh0A7bTaLFRa586LHQfH4qCRHfQins3OHHWdO6eOh1lmPfkM7A6GKWYFOmpMAwB0J5jzP7H0mYjRdbV6hJCbj9uYyCEvxYxQSYjo/l5igjtVR/7HpfMCWHALIWAXHR0dERHx8ccf19TUIIR0Op3tb2hSqbS5uZl1T4vFotFoDh8+jBDKy8u7fv16aGjoyZMnk5KS6ORRUVHM3BQKRXJy8hdffJGXlxccHPzqq69++OGHNTU1rSZECOXk5CxZssTT0zMuLu6VV17ZuHFjR7XDpEmTxGKx7bdWCnVrYX19fXp6OvVoGHoeOGtbkSTJ1YCtUiqV5eXl9OwtjUZj+9mlrq6O/jsiIiIyMrJ3795eXl629ydWV1dTfzQ3N8tkMoIgqNzor986nU4sFvPJ0HFlHhne3t6VlZX0YVZVVVGH6evrW1ZWZrd4LVezP258fHzy8vKov5lLShmNxgMHDhw7dmzOnDkpKSmrV6+mLqLMzMzp06dPmDCBmvTHSqfTMZ9/J5FIJBIJfd0lJydbLJbKysr9+/dTs6Jshw4nKkw5derUBx984O7uHhYWVlRURI1y/GvFE+sVyqdfsV7CNK5u3KqioqL9+/cvW7asoqIiIyODfjoHQkipVNr+U6vVKhQKqiw/P78vv/ySfkmhUNjFJVmz5TpMeiDSarUuLi5c5VKYDejg2PPy8jDGEonE6auVXrWdvnPQdk33R5Ver3cwtZDZFXmeWdtMHPQu/gMyzwpTzp8//8477xw4cIBar9NsNtv+tiQUCqkVOphd10GHpw+QtcPblUhLT09ftWrVpUuXbDdytSG9cH5LSws9d1Wv19ODAHM8ZLIdAB03C1da586LHQfH4urq2mojM3sRz2ZnHTScOKeOh1lmPXl+YOAapliPrv1jGgCge3EQKWrRbT91acMbc/r6iAhsRYT/BxPGptzOE6n6r055+6uzD3kQ6B4Lc0EAC7CYPn26m5vbunXr6M8fVVVVtr9x+fv7UyEq5p7V1dVisZgkSWoLxpi5QhtrbmFhYRUVFdQ6U7du3SouLh46dKjdd1qualAF1dXVHTp0KDU1lS69/SZPnuzu7h4REUH9MyoqSqVS2d5TIxQKCYKwPUbWSor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CjGkxgAQAAAAAAAAAAAIBRDSawAAAAAABI6bj/sL3ojuD29qI7HfcfDn88Y8rt27cZDEZPT0+/S+jq6nJ2dq6pqRnEqAAAAAAwbGACC4CxjsvlOjk5vXz5cqQDGRXodPrr169HTzkADJFeD1FhCfpxbPcjS0JCQnBwcJ+yDI+ejo7Gg8Hv8gp4N77LK2g8GNzT0TFSUY0sws+3sLDw+PHjLS0tO3bs6OrqGkhRxcXFdDq9uLj41KlTvr6+FAqlrxF2dHS4uroGBQUlJCSsXLlSU1MTTnyjkOCnL6zraG1t3bZtW1hY2HCFNiT618v1e3TBZDJTU1MHt+RBH+qIKPDKlSs//vjjIO4LAPCBEh/pAMBolJSUlJiYyGaz58yZs2fPHnV1dYTQixcvDh8+XF5erqamtmfPHh0dHWEpEUJZWVnx8fEsFktTU/PUqVOCuyAsraamJjQ09J9//tHS0vLy8poxYwbJjE+ePAkPD3/69Om0adMCAgLU1dXd3d1LSkp4M9ra2u7ataulpaWkpCQnJ0dZWZnBYGAvxcXF/fe//8X+1tPTO3r0KG/GU6dOJScnt7a26unp+fj4KCgoZGRkHDp0iDfNvn37zM3NRQdJuJGkx48fx8TEPH78WEpKytbW1sXFhXzeXomJif3+++/Y32fOnJGTk7OxsSGZNyIiIjc3Nzk5edy4cYMVT19jACPCxcWloqICISQrKztt2jQLCwsbGxsxMTHelxBCM2bMwBoX4THs4uLi5uamr6+PEIqNjb17925ERMTu3bsJG29+fv7p06efPn2KEJo7d+6mTZt0dXV5g6FQKKqqqubm5hs3bsQiGUjALi4uXC6Xr/tis9mrVq3atGnT+vXrsS0iohp00DRGA+kF+kpenk3McISQzJLFCKF3eQVNzHAlL0/pBfojHd2Qe/r06cmTJ+/fv9/d3T1//nwvL6/x48cTpjQwMLh48aKdnd3mzZslJCT6vceWlpbExMTff/89NDT0yJEjcnJyqO9tIS4ubvv27Xfu3FFTU/vqq6/Q/574BoL8eElwLMFbjugRAuHQhXCj6L3gGVevXr1t2zZra2vRG5GQgRn5IRyZkc/Jkyfl5OTWrFlDvtp/+eWXPXv2ZGVlFRYWfvHFF+QzEhoLXWtBQYGEhMTy5ctHOpB+qq+vz87O7nW+Ly4uTlFRcdWqVcMTFQBgRMAVWIBAZWUlk8lMS0ubPXt2SEgIQqinp2ffvn16enqpqanLly/38/PDflAVTIkQun79+unTp319fa9evUo4eyWstICAAAMDg0uXLn399df+/v4kM7a2tnp7e69cuTIlJcXQ0NDX1xchdPTo0fz8/MTERGlp6fz8/Pz8/F35P0WzAAAgAElEQVS7diGEEhIS7ty5M3XqVC6Xixfb3Nzs5+eHJeObvUIIvXnzJiYm5vz5893d3fHx8QghS0vL/P9z4cIFdXV1ExMT0UEKe8tktLS0eHp6Llu2LDU1NTo6urGxkWTGfqipqekgfRFBV1dXbm6upqZmQUFB76mHJgYwgiIiIvLy8v7444+1a9eeO3fu4MGDvC9hDQSbDOr1GM7IyMjLywsJCZGUlCRsvKmpqQcPHrS2tr5w4cL58+dNTEy8vb2Li4t593jjxo3Dhw9fu3YtKSlpgAFjGhsbi4qKeEtISEigUqn4v71GNbigaYwSMksWY3NY7/IK8NkrbDLr41ZUVLRz505tbe1ff/01MTHR0NDwwYMHwhKLiYmFhoZmZ2fb2dkNZKdUKjU0NHTy5Mnh4eHY7BXqe1vYsWOHgYHBtm3bsNmrQUR+vCQ4lsD1OkIgHLoQbhSxF9zvv//Om0XERkQ0MCM/hCMz8vn3339v3769evVq0fXMh8FgTJs2bevWrQOfvUJjo2tdvHixu7v7SEfRf5MmTQoLC+t1KtzV1TU9PZ3NZg9PVACAEQETWIDA7t271dTUZGRkVqxYUV1djRB6+vRpU1OTq6urvLz86tWrpaSk7t+/T5gSIRQbGxsYGKijoyMuTnyJH2FpPT09FRUVK1askJWVtbOzq62tFRxPEGa8d++ehoaGqakplUr99ttvW1panjx5IuytbdiwgcFgKCoq8m5sbm5WUVHh3cJisWxtbTs7OxFCbm5uqqqqysrKS5YsefXqFV+BJ06ccHJykpKSwrMQBimsAsngcDjv3783MTGRkpJSV1f39PTEtr969YrBYJiZmW3cuBF/y83NzUFBQdbW1lZWVtevX29ubqbT6XhR7u7ueXl5CCE6nZ6Zmbls2bLk5GT0f9dsu7u7p6enR0ZGGhoa7ty5MyUlBcvV2tpqamr65s0bvsBu3rxJo9FMTU3T09PxjdXV1Vu3bjUxMdm6deuxY8fwn8sIo6XT6bdu3XL4f+zdeyBVWd848HWQ+73SxWU0NacbKtI03YzpREgSXSalyMzUjHGJhEomUyFGGdVTTA2lRCEKpakmep4QTblNRcoTR7mlXA7GOb8/9u/d737P3vvY7tT38xf77LX2d6+91jrrrLP3Ohs2LF++/Ndff8UixGNobm5mWEQDoba2ds+ePRYWFqtWrYqIiMCH3UIljBC6du3ahg0bOByOq6vrgE4vDkPYTU9fffVVaGjonTt36JoeXR3G5OfnR0dHh4SEKCgoUCZvbW09duyYn5+fubm5srLy6NGjra2tv/nmmyNHjhB3ExcXZ7PZNjY2QrNOvQgYY2xsfPHiRfzflpaWzMxMQ0PDHkXVLXIrQFTthdg0duzYkZaWhu3p6Oh4+fJl7O+VK1e+efOGruoKtXrcL7/84uLiQjml/uzZs82bN5uYmPj6+pJ7AOZthHwsyg6By+W6urpyOJzvvvuO3NkOK9gcVmNwaGNw6Ecye9XZ2Xnw4EF3d3c7O7sJEyYoKipaWFjgX94UFxfb2dmZmpriT3VRdoyUtZ2SiKoi4m2CMn8RLYL8sJJQM+m2e2c+XhIxluh2hEA5dKHcKHrEghB6+vTp48ePFy5cKGIjPp6hHJgxH8IxGfkkJCSsXbtW6LFQYqdErloiLij56tONSXBC1UmoAvTvsRB9L9ej9kIuE6Jz585ZWVmZmpriSSgzp+yoRefMMAldoRFxOJycnBzs/cXHx6epqUnE2dENIMk5iIuLr1q1Cn9PBAB8kGACC4hSVFTEZrMRQmVlZdOmTcNHGFOnTv3vf/9LuWdVVVVHR8eVK1eWLVu2Zs0a/FMWEWVuLBbLyMgoMTGRx+MlJiYaGhpKSUkxScjj8fDHhVgslpKSEpfL7dFpNjU17dy508zMzMfHh5gWP1BXV9eLFy/S0tJWrFhBTFhZWVlYWEh8eJDFYlEG2W0BiqClpfXpp596e3tXV1fjG/l8vpeXl46OTlJS0tq1a/38/LDvTn18fKSkpGJiYsLCwtra2kRkm5eXFxcXZ21tjW85evToihUrXFxcsrOzLSws/vzzT2x7VlbWvHnzyE8iXL161cjIaMmSJXl5edj3XXw+f+/evYaGhqmpqc7Ozjdu3BAdLUIoIyMjIiIiPDz86tWrhYWFxBiIt7oMMj6fv3PnTi0trbi4uIiIiMLCQvzGHHIJl5eX+/v7Jycns1gs4nzHR0VDQ0NHR4duWpayDmMqKiqCgoKCgoLU1NToMn/06JGCgsIXX3xB3GhmZvby5UvyJ7SOjg5ZWdk+BoxZunTp8+fPKyoqsH9TUlKMjY3xzHsUlWhCrYCyvRCbxoIFCwoKChBCDQ0N9fX12N8vX75UUlIaM2YMXdVFVK0+ISHh0aNHBw8epPxm+/LlywcPHoyPj+fz+ceOHSO+1KM2InQscXFx8gliZz179uzk5GRnZ+fMzMwelSEYaNgkhYmJCeWraWlp4eHhx44dy8zM/OuvvxB9xyhU2ylzE11VRL9NkFuTiBZBidhMmHfvTMZLdGOJvowQyOiOghDi8XiBgYGenp7Eh6wpNyKEWCwW5cCM+RCOyXnl5ubOnz+fuEWoUxKqWqIvKPnqU45JiMjVCa8A/X4sEb1cj9oLubnhSkpKrly5cvr06evXr//4448iMqfsqEXkzDAJ8xaHv78IBIKIiAh8OzlDugEkZQ4LFiy4f/8+5REBAB8GmMACtAoLC8+cOYO9/zU3NxOHiXJycsTbo4h7crncN2/eqKqqXrlyxdvbOywsrKKioqmpadH/SEtLo8vNwcEhNjaWw+EcP37cyckJIcQkoZ6eXmlp6e3bt3k8XkZGxvPnz5k/nYc5fPjwn3/+GR0dLScnt3v3boTQhAkTEhMTscFTVlaWkZHRpk2bpk2bpq+vT0wYFxdnY2ODLf+EJ6EMUnQBiiYmJhYeHj558mRHR8fg4GDsC+fi4uKOjg4HBwdZWVlTU1MWi/Xy5cvS0lLseyoVFRU2m21ubi4iW2traxEzREZGRqWlpe/fv0cI3bp1y8zMTGgHLpf78OHDxYsXKysr6+rqYjOVWFSOjo7y8vI6Ojr46JkyWuwle3t7VVVVNps9b948fB2iIVdcXMzj8b755hsFBQUNDQ1nZ+fr168jhChL2MXFhc1my8vLL1u27GP+casxY8bgd0O4ublhzRYbU1LWYcyFCxf09fW1tbVF5FxfXz9+/HihjbKysnJyclgVxXR2dj569CghIcHU1FSo6+hpwBgJCQlbW1tsuP/PP/8kJiYSn3NhGBUTQq1ARHvBzJ8/H5u0ysnJsbKyKi0tFQgEf/311+eff05XdTFCrf4///lPfHx8aGgoXVdgb2+vrq6urKy8ffv27Oxs4ks9aiNCx6I8weLi4s7OTgcHB3l5eV1dXaGFeIYb7MlBFS8PFS8P7FnCoY5owL1+/Rpf5pJs06ZNo0ePnjJliqGhITbnS9cxdtvnd1tVRMdJbk0iWgQlYjNh2L0zGS+JGEv0ZYQgRMRREEKhoaHLly+fPHmy6I3EIRB5YMZ8CNfteXV2dnZ2dorulISqlugLStmXksckouEVoN+PJaKX61F7ITc3nLi4eGtra319PXEjOXO6jlpEzgyTMG9xxPcX4koU5AxFDCDJOYwbNw4eIQTgwwaLuANqCQkJt27dCgsLmzBhAkJIQUGB+EV6S0sL/syd0J4SEhLKysr29vYIIQMDgy+++OLhw4erV68mfvhJT08n51ZXV+fm5rZ//359ff2ioiIfH58TJ05MmDCh24Rjx4719/f/9ddfAwIClixZMmXKFBG3clCSlJRECKmpqXl5eZmYmDQ2NqqoqOCvLl68+O7du7W1tbGxsT4+PiEhIdj21tbWP//888KFC0K5UZZVV1cXXQEyIS0tvW3btvXr14eHhzs7O0dGRtbU1FRWVi5atAjfp66urqmpadKkSQzXUyd/9hY64oIFC+7du7do0aKysjKhL0gRQmlpabq6usrKygghY2PjCxcu2Nvb19TUfPLJJ/jXrUpKStgoijLaSZMmIYTwi6WoqMjj8ZhEPghqamq0tLTwE1FXV8dOpKqqilzCt2/fvnHjxosXL2pqavDnyz5CVVVV+OelI0eOYEuz48h1GPt09MMPP0RGRiYlJRFvCxKioKBA/rGw1tbWlpYWvKm6ublJSEhoamp+//332F1RQhMuPQ0YY2VltX79emwxrGnTpmG9HPOoGBJqBSLaC0ZDQ2PUqFGvXr26f//+pk2bioqKysvLHz58aGFhQVd1MUKt/l//+temTZvGjBlDF9jEiROxP1RVVd+/fy8QCPCce9RGhI5FeYJv377V0tLCtygqKtbV1YkqtaFDXveKuKb7h0pOTk7Ex0K8auE9OV3H2G2f321VIbYFMnJrEtEiRJ+LiLMgYjheohtLiEjSCyKOEhcXx+PxhFabotyIoxyYUUbLfE9i/u/fvxeaPSd3SkJVS/QFJV99yjGJaPgR+/1YWIb4v8RerkfthdzccFOnTt22bZu3t7empqanp6empiZl5nQdtYicGSZh3uKI7y/Nzc34+ws5Q7pOgC4HaWlpHo8nLS1NeVwAwEgHE1iAwqlTp5qamiIiIvA3Kg0NDeI3pWVlZdgUFXnPiRMntre3d3V1YVtYLBb5LYQyt7y8PC0trQULFiCE5s6dy2az79+/L/SZli6MBQsWYAmbmprs7e2nTp3auxPv6uoSCATkgMXExMaNG7d161YrKys+n4/dZp+VlTVz5kzyg3WUQba3t1NG3iPKysp79+5duXLlkydPVFVVZ8yYcerUKeIO+fn5VVVVxC0yMjIdHR0dHR3YJB1xGNHtPJepqWlycjKfzzc2Nhbamc/np6WlvX79mjikKCgoUFBQID48hT+PSRntcDZ27NhXr17hg6Gqqqpx48YhhFRUVIRK+PHjxxERER4eHpMmTSooKMCfu/zYFBYWPn/+HGuGIhDrsI6ODkJISUkpODh4+/bto0ePXrJkCWWq2bNn19fX5+XlEYf1165dmzp1Kv5xiG4Gqo8By8vLm5iYJCcnZ2VleXp69jSq3mHSXubNm/fgwYMXL15gX1MXFBSUlpb6+vqWlJRQVl2MUEPevXt3QEDA1KlTZ82aRXkUfH3AioqK8ePHE9epYd5GyMeiPMGcnBzihCD5adNhgpf7QGj2CvvjbUgYS0rqA/4hwtmzZ9fW1ubn5xsYGHS7c186xm6rSo/QVVQR8GbC5CyYj5cQzVhCdJJeoDvK+fPnGxoa8Hft9PT058+f//HHH+SN+GrflAOzKVOmMBzCUe5JDFVOTq61tZW4pdtOqUcXlG5MIhp+Kfv9WIqKipS9XP8OJCwtLc3NzWNiYvbs2RMdHU2ZOV1HLQLDJMwLTcT7C5GIToAuB5i9AuDDBo8QAmFcLjczM9PDw4P4UUdHR4fFYsXFxTU3N8fHx8vJybHZbMo91dTUpk+ffvz48ebm5gcPHhQUFJBv3qHMjc1mP336NDc3t729vaCg4PHjx9hyEt0mxF4SCASVlZX79u1bvXo1efEs0UJDQ9+8edPQ0HD48OHPP/9cRkaGy+Xa2Nh0dHQ8efIkNja2sbGxqanp7Nmzs2bNwseCWVlZxOVv8CSUQYqIvFslJSXR0dF1dXWdnZ05OTnt7e1qamq6urp1dXVJSUnErzf19PS6urpOnjz57t27kpKSjIwMSUlJDQ2NCxcutLW1JSUl1dTUiD6WvLx8eXk5tr6AoaFhWVnZjRs3yM8P5uXlvX//PiMjA/81RmNj49TUVF1d3dra2kuXLrW1teXm5uKDMMpomcQwVLC5lcjIyPfv31dXVx8/fnzVqlWIqoS5XK6ysjJ2NT/CVXv4fD6Xy01KSvL19d2xYwfdnUeUdRh/VUtLKyAg4MCBA3QL4igpKTk5Ofn7+9+8efPdu3e1tbUJCQmnT5/uxW8qMQyYaN26dZcuXZKSkpoxY8YARSWErr0Qm8b8+fOTkpKwkAwNDTMyMjQ1NSUlJemqLiU2m+3r6+vr6yv0qAguMjKyoaGBy+VGRERYWFgQX2LeRsjHouu+6urqEhISWltbc3Jy7t6926vCG3AsKSmV3d5CN1vJLF6ostub1cO3npFFWVl569atfn5+6enpjY2NDQ0NSUlJt27doty5Lx1jt1UF9eRtokctoqdnwXy8RDmWED1swF9lGC1CSPRRUlJS8LdsMzOzXbt2ubq6Um7Ek1AOzJgP4bod+WCjNeIcVredUo8uKN2YRAhdder3Y9H1cv0+kGCxWGw2G3tgkzJzuo5aBIZJmBeaiPcXIhEDSMocamtr+/gdEgBgmBvKCSyBQPDw4cPExMSkpKQP/vdrR5CKigoul7tkyRJ8BZmsrCwWixUYGJiRkWFpaXnnzp2ffvqJbk+EkJ+fX3l5+cqVK48fPx4QEEB+I6HMbfLkyT4+PuHh4ebm5iEhIe7u7jNnzmSSECHk7OyM/brKnDlzevG9ZX19vZ2d3ZYtW0aNGoWtgYUQwr4+GjNmTG5u7tq1a+3s7BoaGvbt24enKioqmjZtGjEfLAllkHSRM6Gurv78+fONGzeamZlFR0cfOnRITU1NUlIyMDDw+vXrK1asMDc3x369e9SoUSEhIX///betrW1AQAB2G7aXl1d6erqlpWVVVRW5SIVYWFgUFBRYWlq2traKiYktWbLk7du3U6ZMEdrt6tWrK1euJN75v3nz5rt373Z1dR08eDAlJcXS0jI1NdXMzAz7EowyWiYxMC+l/iUhIRESEvL06VNbW1tXV9f58+djT1iQS9jIyEhVVXXdunV79+7tl9/zHkHc3NyMjIycnJzu379/8OBB4q8Z4EtKLVq0qKuri7IOE7PS19d3cXHx9vamW+Bmw4YNbm5u58+ft7KysrOzu3///i+//KKnpzdAARNTjRs3ztDQ8Ouvvx6gqMjo2guxaRgYGFRWVmJz6JMnT66trcWqH13VpbNw4UJ7e3sPDw/Khefnz5/v4ODw7bff6ujo2NnZEV9i3kbIx3r79i35BGVkZA4cOJCammppaXn16lUrK6s+FuMAkZqlS3mblfS8uVKzdAc/nsG0ceNGFxeXhIQEGxsbR0fH8vLyefPmUe7Zx45RdFVBPXmb6GmL6NFZMB8v0Y0lRAwb8FcZRtvtUZjngyehHJgxH8IxGfkYGhrm5OQQt4julHp0QeXk5CjHJELoqlO/H4uul+vHgUReXp6FhcXSpUujoqJ8fX3pMhfRUdNhmIR5oc2fP9/R0ZHy/YVIxACSMof//Oc/H9tgDICPDWuoFp0RCARRUVHYr0sghPbs2aOurt6XDFtaWnx8fCZPntz3b79HEOyJMPwh8J6qrq7udVowEIqLi7udYxpMwcHBn3zyybp163qXPCAggM1m9zr5gBpuRT1sQUH1FyjJkQKuFJQAGDQvXrwICgo6ceLEIBxrMMckw3n8MxxwOJz4+Pi+3CpFmQOfz3d0dAwMDGQyJQcAGDj4QIJ8Qz22YEhfZiGG7A6skpKS0tJSLS0tCQmJn3/+WV1d/cWLFy0tLd0mLCsr8/Pzs7a2XrlypZ+fX0NDA7Y9KirKw8NDTk4uLy9vgGMH4KPw8OHD7Oxs0T9lSKe1tTUjI+PevXscDqffAwMA9LtF/1dqaupQRwRGvLq6OuzX6ACgo62tbWBgcPny5QE9ymCOSWD8M4RiYmKWL18Os1cAfNiGbBH3ly9f6ujoKCsrq6ioqKqqPnz48NSpUwYGBqLHOg8ePPj555/Xr1///fffy8rK/vvf/y4sLDQyMkIIYTdewVAJgH7h5+dXVFS0e/duBQWFHiV0dnb++++/xcTEJk+efPjw4dGjRw9QhACAftTtjzYC0FNjxoyJiooa6ijAcDegQ/fBHJPA+GfIbdmyZahDAAAMuCGbwKquruZyuV9++eXhw4fd3d3b29vl5eVF30ra2dkZHByMrXaEbcFXMKmrqzt27Nhff/01atSor776auvWrdgPtFtYWPj4+ERFRTU2Ni5fvnz79u0IoZcvX4aEhDx79uyzzz7T0dF5//690G9LIYTevXt37NixBw8e8Pl8Nze3OXPmfP3119euXcNe9fT0tLa2XrjwQ/7BbPCR279/f+8SRkRE9G8kAAAAAAC9MJhjEhj/MHfz5s0hzwEAMEINzSOE+fn5jx8/trCw+PTTT0NDQ7du3erk5CQQCD799FMRqQoLCwUCAfmOXD6f7+vrq6mpGRMTExYWVlRUdO7cOfzVzMzMsLCwkJCQ9PT04uJiPp+/f//+uXPnXrp0afv27XTd3969e6WkpH777bfg4OChWiYMAAAAAAAAAAAAAKAhuQMrPz8/Ojp68+bN+vr6OTk5v//++9y5c4uLi2fMmDFr1iwRCd+8eUO50HtpaSmPx3NwcGCxWAoKCtu3bz9w4ICDgwP26oYNG1RUVFRUVObOnVteXo4Q6ujosLe3Z7FYM2bMMDc3x9ZBJ/r7779ra2t/+eUXcXFxZWXlzz777N27d/109gAAAAAAAAAAAACgZwZ7AgufvTIwMMjPz4+JiZk4ceKECRO++OKL6dOni/6VX1lZ2bq6OvL2mpoaTU1NPO3EiRPxld0RQviPtSsoKPB4vJqaGi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NycvLy8ho7dqzQ8mfPnj1+/BgfbfP5/FWrVrW3t1OupcwHT0IZJF0BslRZWeni4mJoaOji4hIVFYXfuM7j8TIzMy0sLFJSUhBCV65cWb9+PY/Hc3d3b2howLfJy8vbtGmTkZGRn59fY2Mjnm1xcfGGDRuMjY3xByXYZEgXzDBTW1u7Z88ec3Nza2vryMjIjo4ObHljY2NAQIClpaW5ufnNmzcRTSmNENi3/cuXLw8LC7t16xbdG0nq6uo+ffpkaGgoLS2toaHh6elJXPvgwYPY2NjQ0FAFBQXK5C0tLVFRUfv27TMzM1NSUlJVVbWxsdm6devRo0eJm0lKSnK5XFtb2/z8/F4GjDE0NDx//jz+b3Nzc3Z2Nv4plGVUIv3yyy9WVlbGxsbYFwAIoTdv3nh5eRkbG2/ZsgWPkFzxhForOZW7u3t6enpERMSSJUuampqE9os/w8Lj8e7cubN+/XoTExM8BiGUzaGxsZHH4+HbuLu75+TkCO2Usv9hk7BbZTjwxixdrOTt2RAS1hASNnJmrzDkhka+lJB7RebzS3kxwuonZXMQWWnJ7YW8F8p6iOg7f8rHvhiuztjGDLmRD4Hl5fX27dtcLtfIyCg9PV3k2WFw5MgRNze3jo4OciF7enpeunQJ26y5udnIyOj9+/fEshJq5sS+qM8Pmc/ne3h4rFix4rvvvqutrcWXk6sZ3TklYjPOocQ+DCFsaiOiqeoAAACEwAQWYPLkyRMul4sQKisrmzFjBofDwZZPnz79zz//pNyyurq6vb09NTV1xYoVa9asycjIIGdLmRuHwzEwMEhOTm5tbU1OTtbX15eWlu6rhMxaW1uDgoK8vb2FnobAdkS3lhKHw6EMUmQBMhAIBHv37tXX1798+bKrq+u1a9eIawsKChISEmxsbBBC5eXl+/fvv3TpEofDIX7wvnjxYmBgYGJiYldXV2RkJL48IyMjIiIiKioqOzv7999/Z5MhczDDhkAg2Llzp6amZkJCQmRkZFFREfZYGULIz89PWlo6Li4uPDz848ePiL7YRxQNDQ1tbW26aVlNTc0vvvjC19f39evXQqsqKiqCg4ODg4PHjx9Pl3lhYaGCgsLChQuJC01NTV++fPnmzRuhjdvb22VlZXsZMObrr79+8eJFRUUF9m9aWpqhoSGeebeiolNSUpKamnr69OmrV6/+8MMPCCGBQODj46OtrZ2SkmJnZ7dv3z7s3k9yxUOE1kqZ6tixYxYWFm5ubrm5ucQbx8iysrIiIyMjIiLS09OLioTfRM7QHMjIO6Xrf0QmBOKM2NDIlxJyr8h8fikvRoi+OSBRlZayvdDthahbtV3kBZE5N6FDYH95TU9PNzAwWLZsWUFBAXEmBcemG0xKSiosLAwMDJSUlCQXsomJye3bt7Etc3Jy5s+fT3x4k3w2iX1R3x4yVgfmzJmTkpIitE2PL75sBk59GAab2shQ1QEAABDBBBagVVRU9NNPP2GfqZqamogjTjk5OeJdTsQt+Xz+mzdvVFRUUlNTfX19w8PDKyoqGhsbl/xXRkYGXW6Ojo7x8fE8Hi86OtrZ2Rkh1OOE3RIWFmZiYqKlpYUvUVNTS05Oxh7xI6+lhCehDJK5AJkVFxe3t7c7OTnJy8tra2tbWFgQ19rY2OA5u7m5cblceXn5FStWEH/nyMHBQV1dXUlJadu2bcQ3jNrb26uqqk6bNk1fXx//lM6cIXMww0ZxcXFra+vWrVsVFBQ0NDRcXV2vXr2KECotLcW+I1VWVuZyuWZmZoi+2EeacePG4TdWeHh4YM0Wm7CQkJCIiIjQ0tJycnIKCQkh3n9x7tw5XV3dKVOmMORcX18/ceJEoYWysrJycnIfPnzAl3R0dBQWFiYlJRkbGwt1Hd0NGCMlJbV69WrsA8mnT5+Sk5Pt7Oy6GxUzSUnJlpaW+vp6fAnWxBwdHWVlZY2NjTkczsuXLykrHiK0VspULGNACDk4OKioqHC53Pnz5+OvAyOGRNkc2GdO2f8Madh7r5R9vJR9vN6Fhgu90314IzY0bAn5UtLdXpHyYoQYKzZDpaVrL3R7IepWbRd5QWTOTegQWF5e+Xz+o0ePli5dqqSkpKOjI9S/kc8Opd9++y0xMTEsLExeXp6ykA0MDEpLS7Gu7MaNG6ampgy5of/ti/r2kIuLizs6OhwdHeXl5XV0dIhvKe3xxZfNwKmvwmBZG3vZhwMAwMgB78AC1JKSkm7cuBEeHq6mpoYQUlBQwL81Qgg1NzerqKhQbiklJaWkpOTg4IAQ0tPTW7hw4aNHj1atWpWbm4snz8zMJOdWV1fn4eFx4MABXV3dJ0+e+Pn5HT9+XE1NrccJWR5pQkJCa2sr8XMp+7WUKMuqs7OTrgBFqqmp+fzzz/G7t8aOHUv8uEv8CH3z5s1r165VVlbW1NQQX7cxadIk7A8VFZWmpqauri4sNzytoqJia2srmwyZgxk2ampqNDU18cNUV1fHDrO6unrq1Kn4S3MxdMU+0lRXV+vq6mJ/k18pJSMj4+Lism7duoiICFdX15iYGGyCePv27TExMSkpKdiX4ZQUFBTIP/7V0tLS3NysrKyM/evh4SElJTV58uTvv/8euyuK2HX0IGCMlZXVunXrsJdhzZgxg9ixsIlKpOnTp7u4uPj6+k6ePNnb23vy5Mk1NTVVVVVLlizBt6mrq2tsbCRXPERorZSppk6dyjIM/PY3YleAo2sOLJH7H/ZpxRP+1nb8yUHiO92HN3JDQ1SXku72ipQXI8RYsRkqLWVHzbAXom7VdpEXRObchA6B5eU1IyNDR0dHSUkJIWRoaHju3DkHBwcsFeXZofTjjz/a29uPGzcO0RfyokWL7t69u2TJkrKysgULFjDkhv63L+rbQ8YyxP9VVFSsq6vD/u7xxZfNwKmvwmBZG3vZhwMAwMgBE1iAwsmTJxsbGyMjI/ErroaGBvEbzrKyMmyKirzlpEmT2traOjs7sSUcDkdGRkYof8rcCgoKNDU1Fy1ahBCaN28el8u9d++e0GfaHidkcPbs2bdv3+KDhszMzBcvXri7u7NZS4kyyLa2NsoCZENBQYH4RBKfzyeuxUv+8ePHkZGRXl5eU6dOffjwIX7zP0KosbERmy+rqKiYOHEiPlikxJwhczDDxmefffbq1St8pq+6unrChAkIIWVl5erqauKWDMU+ohQVFb148QJrhgyUlJT27t27cuXKp0+famtrI4TGjh0bEhKybds2VVVV4tuIiebOnVtfX4//HBjmypUr06dPxyeC6WagehmwvLy8kZHRpUuXcnJyvL29uxsVG5aWlmZmZnFxcXv27ImNjVVRUZk1a9bJkyeJ2zx48ECo4mHw1kqZqq/QNYcxY8a0t7e3t7djP/5F9zmf3P+wTCieWvPvC81e4e9050hLD/sfImTT0PqwV+xZxSZ31JQo6yFdback8oLYt7khhAQCQUZGxl9//UWc6Xj48KGenh7qTje4e/fugICA6dOnz5kzh66QjY2NL126JBAIDA0NyfMvQvAN+vyQFRUViV8V4M+hU1Yzln0Lm4FTb8IgYlkb+7UPBwCA4QQeIQTC+Hx+dna2l5cXcbyira3N4XASEhKampoSExPl5OS4XC7lluPHj585c2Z0dHRTU9P9+/cfPnxI/uKOMjcul/vs2bP8/Py2traHDx8+fvwYe6lWnyRkkJaWlvtfpqamu3btcnd35/P5tra27e3tlGvpyg1LQhkk5UKWEero6NTW1l64cOHjx4/5+fl0Ayw+n6+kpIRlm52dTVwVExPz9u1bPp8fGRlpbm7Ocr+UGbIMZqjD5lZiYmI+fPjw+vXr6Ohoa2trhNDs2bM7OztPnDjx/v37kpKSrKwshmIfCQQCAZ/PT0lJ8ff337FjB92dRyUlJbGxsXV1dR0dHXl5eW1tbcQ3XmlqagYEBBw8eJD8IhvM2LFjnZ2d9+/ff/369ffv32O/Y3j69GnmqeTeBEy0du3aCxcuSEtLz5o1q5+i4nA4XC4Xe6xYR0enrq4uJSWFeM8mueIJ5UCZCiEkLy9fXl7ey3ep0DWH0aNHa2honDt37uPHjykpKTU1NZQ7Jfc/LBOKJ460tPJuX6GbrcYsXay825fTzdcvDld0vWIPzi9dxWYmsr1gKOshXW2nC4/5gti3uSGECgoKPnz4kJWVhY9MDA0NL19zgI60AAAgAElEQVS+zKJU/geXy/X39/f396+oqKArZH19/bKysmvXrlE+P0h3Nvv8kGfPnl1XV5eUlNTS0pKXl3fnzh1sOWU1o+tb6LC/gncrDKGEbGpjz6o6AACMQDCBBYRVVFTw+fxly5bhb5DJycnhcDhBQUFZWVmWlpa3bt365z//SbclQmjfvn3l5eUrV66Mjo4OCAgg34xAmZuWlpafn19ERISZmVloaKinp+eXX37ZVwl7AP/+sLtJKIOkXMiSnJxcYGBgWlqapaXl5cuXTU1NyTe1IYQMDAxUVFTWrl27d+/er776irhqwYIFTk5O3377rba29oYNG1julzJDlsEMdVJSUqGhoc+ePVu9erW7u/uCBQuwx0hHjRoVGhr6xx9/rF69OiAgYOLEiQzFPux5eHgYGBg4Ozvfu3cvMDDQxMSEuArvFjo7O9XV1bFfHDc1NY2NjT106JDQK9t1dXXd3Nx8fX3p3vqxfv16Dw+Ps2fPWllZbdiw4d69e0eOHJk9e3Y/BUxMNWHCBH19/W+++aY/oiooKDA3N//6669PnTrl7++PEBo9enRQUNDVq1ctLCzMzMyCg4MRVcUTyocyFULI3Nz84cOHlpaWLS0t7KMSQtccEEI+Pj6ZmZmWlpbV1dV4xyu0U8r+h01C8SQ9R4fyNiuZ+fOk5+gMfDxiiK5X7MH5pavYzES2Fxy5HjLUdjKRF8S+zQ0hlJ6evnLlSuIrNTdt2nTnzh3iTwSytHjxYgcHBy8vr3fv3lEWsoSExLJly969ezdt2jRycrqz2eeHPGbMmIMHD16+fNnS0j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t2LDc3NykpSUZGBlu1Y8cOhFBiYuL9+/c///xzgUCA5UmZnLk0EEKNjY27d+/GUgnNXlEGSXfILOXn57u5uWlra//nP/9JSkpasmTJ48eP2Sfvlo6Ojhs3bsbkUNAAACAASURBVGhqat69e1f01qxVVVW1jdTbE4aro0eP5uTk/PLLL+vWrUtISDh48CBxFdY6sMmgpqYmT09PCwuLtLS06OjohoYGoawyMjJycnKCg4NHjx5N2XjT0tIOHjxoaWl54cKF8+fPGxoa+vj4FBQUEPd469atQ4cO/frrr8nJyb0MGNPQ0JCfn0/MITExUV5eHv9XZFR9CxqRmBizdDE2h/Ux5y4+e4VNZg1v3boSSUhIhISEXL161dbWtjc7lZeXDwkJUVNTCw8Px2avUPfbwvbt2/X19bdt24bNXvUh9uOl9+/fnzhx4vz5852dnbGxscRMRI4QyEMXuoUMe8GdOXOGmIRhIaIamLEfwrEZ+fz555/37t2zs7NjLmchXl5eU6ZMcXFx6f3sFRoZXevixYvd3d0HO4qemzhxYlhYmMipcEdHx/T09Nra2oGJCgAwKGACC1DYuXOnurr6mDFjrK2tKysrEULPnz9/9+6do6OjgoKCnZ2dtLR0YWEh5ZYIoZiYmAMHDujo6EhJUd/iR5lbV1dXWVmZtbW1rKysra1tdXU1eTxBFwbu5MmT9vb20tLSdIfm5OTk5eU1duxYyrV4cj6fv2rVqvb2drpjbGxsVFFRIabFk1AGKTJyBh0dHYGBgZ6enhs2bFBTU1NUVDQ3N8dm2Wpra/fs2WNubm5tbR0ZGYkPDfl8vru7O4/H++677968eYNn9ebNGy8vL2Nj4y1btjx79oxyd7dv3+ZyuUZGRunp6fjCyspKFxcXQ0NDFxeXqKgo/Eswygx5PN6dO3fWr19vYmLy73//GyHk7u6enp4eERGxZMmSpqYmlgc+uOjKtrGxMSAgwNLS0tzc/ObNmwihK1eurF+/nsfjubu7k6dmhjfspqfly5eHhYXdunWLrlLV1dV9+vTJ0NBQWlpaQ0PD09OTuPbBgwexsbGhoaEKCgqUyVtaWqKiovbt22dmZqakpKSqqmpjY7N169ajR48SN5OUlORyuba2tkKzTj0IGGNoaHj+/Hn83+bm5uzsbH19/W5FJRK5vSCqlkVsRDt27MjIyMC2dHJyunjxIvb3ypUr37x5Q1d1eTxeZmamhYVFSkoKMYAjR464ublRTqk/f/5806ZNRkZG/v7+79+/F1rLvo2Q90XZddB1XGIIm8NqCAlrCAkbIbNXDFcihFBxcfGGDRuMjY3xp7ooO0bK2k6JoaowXFAo82doEeSHlYSaicjunf14ydXVdfz48crKykuXLhWq3iJHCJRDF8qFDHvBPHv27PHjx4sXL2ZYiI9nKAdm7IdwbEY+SUlJdnZ2Qo+FEjslctViOKHks083esEJVSehCtC3+0L0vVy32gu5TIh++eUXKysrY2NjPAll5pQdNXPOLJPQFRoRj8fLy8vDri9+fn6NjY0MR0c31CTnICkpaW1tjV8TAQDDEkxgASZPnjzhcrkIobKyshkzZuAjjOnTp//555+UW1ZXV7e3t6empq5YsWLNmjX4pywiytw4HI6BgUFycnJra2tycrK+vj55Hoo5jKqqqqKiIuLTf91CTi40osKPESHU2Ni4c+dOU1NTPz8/Pp9PTEIZpMgCZIANDY2MjISWCwSCnTt3ampqJiQkREZGFhUVYTePCAQCHx+fuXPnXrp0ydXVNTs7G9/ex8dHW1s7JSXFzs5u3759lF+3pqenGxgYLFu2rKCgAPsWSyAQ7N27V19f//Lly66urteuXROZYVZWVmRkZERERHp6elFR0bFjxywsLNzc3HJzc4k3sIgturJFCPn5+UlLS8fFxYWHh3/8+BEhVF5evn///kuXLnE4HOJ8x4iioaGhra1NNy2rqan5xRdf+Pr6vn79WmhVRUVFcHBwcHDw+PHj6TIvLCxUUFBYuHAhcaGpqenLly/Jn9Da29tlZWV7GTDm66+/fvHiRUVFBfZvWlqaoaEhnnm3omIm1F4oWxaxES1atOjhw4cIobdv39bX12N/v3z5cuzYsePGjaOrugihgoKChIQEGxsbfElSUlJhYWFgYCDlN9sXL14MDAxMTEwUCARRUVHEVd1qI0L7kpSUJB8gXccFxATdlQiTkZERERERFRWVnZ39+++/I/qOUai2U+bGXFWYLyjk1sTQIigRmwn77p3NeKmzs7OysjIjI8PCwoKYtjcjBDK6vSCEWltbg4KCvL29iQ9ZUy5ECHE4HMqBGfshHJvjys/PX7BgAXGJUKckVLWYTyj57FOOXojI1QmvAH2+L4ZerlvthdzccCUlJampqadPn7569eoPP/zAkDllR82QM8sk7Fscfn3p6uqKjIzEl5MzpBtqUuawaNGie/fuUe4RADA8wAQWoFVUVPTTTz9h17+mpibiMFFOTo54exRxSz6f/+bNGxUVldTUVF9f3/Dw8IqKisbGxiX/lZGRQZebo6NjfHw8j8eLjo52dnZGCLFMiElISLC1te3xa5uIydXU1JKTk4mf6IjHiBA6fPjw7du3Y2Nj5eTkdu/eTUxCGSRz5Mz++usv/OViRMXFxa2trVu3blVQUNDQ0HB1db169Sq2vKOjw9HRUV5eXkdHB3+fRXFxcXt7u6Ojo6ysrLGxMYfDefnypVCefD7/0aNHS5cuVVJSwt4vhid0cnKSl5fX1tbGx8QMGTo4OKioqHC53Pnz5+NvFxpC6Mq2tLQU+yZQWVmZy+WamZkhhNzc3Lhcrry8/IoVK0byj1uNGzcOvxvCw8MDa7bYmFJCQiIiIkJLS8vJySkkJIR408S5c+d0dXWnTJnCkHN9ff3EiROFFsrKysrJyX348AFf0tHRUVhYmJSUZGxsLNR1dDdgjJSU1OrVq7Hh/qdPn5KTk4nPubCMig2h9iKyqS5YsACbtMrLy7OysiotLe3q6vr999+/+uoruqqLsbGxIXZEv/32W2JiYlhYGN20soODg7q6upKS0rZt23Jzc4mrutVGhPZFeYB0HZd4wp4cVPbxUvbxwp4lHOyI+h3dlQhjb2+vqqo6bdo0fX19bM6XrmMUeXUQWVWY4yS3JoYWQYnYTFh272zGSzk5OQYGBvb29jNmzNDV1SUm780IQQjDXhBCYWFhJiYmWlpazAuJQyDywIz9EE7kcXV0dHR0dDB3SkJVi/mEUval5NELM7wC9Pm+GHq5brUXcnPDSUpKtrS01NfXExeSM6frqBlyZpmEfYsjXl+I76wgZ8gw1CTnMGHCBHiEEIDhDV7iDqglJSXduHEjPDxcTU0NIaSgoED8Ir25uRl/gE5oSykpKSUlJQcHB4SQnp7ewoULHz16tGrVKuKHn8zMTHJudXV1Hh4eBw4c0NXVffLkiZ+f3/Hjx9XU1EQmxP5uaWm5ffv2uXPnena8zMmFjhEhNHr0aITQ+PHjfXx8jIyMGhoalJWVsVWUZdXZ2UkXuUhycnKUF+OamhpNTU38u011dXVsyIItxzdTVFSsq6vDlldVVS1ZsgRfVVdXN3XqVGKeGRkZOjo6SkpKCCFDQ8Nz5845ODjU1NR8/vnn+I7Gjh2L74guQ/xuGkVFxdbWVpZHKj7oyra6unrq1KlCk6Q3b968du1aZWVlTU0N/nzZCFRdXY1/Xjp69Cj2anacjIyMi4vLunXrIiIiXF1dY2JisE9H27dvj4mJSUlJId4WJERBQYH8Y2EtLS3Nzc14u/Pw8JCSkpo8efL333+P3RUlNOHS3YAxVlZW69atw16GNWPGDLwHYBkVS0LtRWRT1dDQGDVq1KtXr+7du2dvb//kyZPy8vJHjx6Zm5vTVV2M0Izbjz/+aG9vP27cOLrAJk2ahP2hoqLy4cOHrq4uPOdutRGhfVEe4Lt37yg7LjFEfu8V8Z3uwxXdlQiDVy28z6frGEVeHURWFaHLlhBya2JoEczHwnAURCzHS0uXLr1z505tbW18fLyfn19oaCi+DcMQq7sY9pKQkNDa2ir0tinKhTjKgRlltOy3JOb/4cMHodlzcqckVLWYTyj57FOOXpjhe+zzfdENz1A32wu5ueGmT5/u4uLi6+s7efJkb2/vyZMnU2ZO11Ez5MwyCfsWR7y+NDU14dcXcoZ0nQBdDjIyMq2trTIyMpT7BQAMdTCBBSicPHmysbExMjISv1BpaGgQvyktKyvDpqjIW06aNKmtra2zsxNbwuFwyJcQytwKCgo0NTUXLVqEEJo3bx6Xy713757QZ1q6MBBCOTk5X375JeUP7rDBkJx8jESdnZ1dXV3EY6QMsq2tjS5ykebOnVtbW/vgwQM9PT3i8s8+++zVq1f4Bbu6unrChAkIIUVFReLnavyhLRUVlVmzZp08eZJuRwKBICMj46+//iIOFB4+fKigoEB8JAp/ZFJkhkMXXdkqKytXV1cTt3z8+HFkZKSXl9fUqVMfPnx4+/btwYl4sBUVFb148QJrvwyUlJT27t27cuXKp0+famtrI4TGjh0bEhKybds2VVXVZcuWUaaaO3dufX19QUEBcVh/5cqV6dOn4x+H6GagehmwvLy8kZHRpUuXcnJyvL29uxtVz7BpWfPnz79//35lZSX2NfXDhw9LS0v9/f1LSkooqy5GqBPbvXt3QEDA9OnT58yZQ7kX/GV/FRUVEydOJD5Vzb6NkPdFeYB5eXmUHZe4ac2/LzR7hf3xLjScIy09jH+IkO5KRKk3HaPIqtItdBWVAd5M2BwF+/ESQkhCQmLChAlbtmyxsrISCAT4I3sMSXqAbi9nz559+/Ytfn3PzMx88eLFr7/+Sl6Iv+2bcmA2bdo0lkM4yi2JocrJybW0tBCXiOyUunVC6UYvzPBT2ef7ohue9e1AwtLS0szMLC4ubs+ePbGxsZSZ03XUDFgmYV9oDNcXIoZOgC4HmL0CYHiDRwiBMD6fn52d7e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ALAFgIBIKampr+jqIf9NSOv7cFCH2mL+tYe3v7qlWr/v77b7HlMTExgYGBfRMD13b7uK11NDfX7gtsTM8UXdiYnlm7L7CjubnPwpArrIcgKyvr6NGj9fX1mzZtam1tlSHb/qpdAH1Mmk4MFxUAABTF/g4A5FFcXFxsbGxlZeXEiRO3bt2qp6dHCHn27Nn+/fsLCwt1dXW3bt1qZGTEtSYhJCUlJSoqSigU6uvrnzp1irkJ1tzKysqCg4P/+usvAwMDHx+fcePGSZmQUl9fv2TJko0bN9rb23t4eNy9e1c04aJFizZv3lxfX3/37t3U1FRtbW1vb+9O86SyZSY5depUfHz8mzdvpk6d6ufnp6mp2WmQkrfSqUePHp08eTI3N7etrc3ExMTHx2fIkCFdyqHHhYWFpaWlxcfHDxgwoKfyPHPmjJqamoODQ09lCL3E2dm5uLiYEKKqqjpmzBhra2sHBwcFBQXRjwgh48aN++mnnwghRUVFx44dKyoqUlZWXrRokbOzM7Wmm5vbtGnTCCGRkZH3798PCwvbsmULa+PNyMg4ffr0o0ePCCGTJk1ydXU1NjYWDYbH4w0bNmzevHnr1q2jIulOwM7Ozu3t7WLdV2Vl5eLFi11dXVeuXEktkRBVb+jVBiIhcwUFhZ9//rk3NvrWGTR9mpaP18uQg4QQlc9mE0Ia0zNfhhzU8vEaNH1af0fX66Q/E5maml64cMHR0fGrr74aOHBgl7YSERERHR1Nvf3r5WAAACAASURBVNbT06ObWw8G3NTU9OWXX545c0ZFRYVe2dbW9tixY/SVTEFBwd69e8+dOyfz1kWxbtHZ2bmxsfHUqVPKysrUkqNHjxJCNm7cKPOGWPtD1g7Qy8tLrLOdP3/+77//zgySq/OUH1zdF2uxAwDA20u+Tj8gJ0pKSkJCQhISEiZMmBAUFEQI6ejo2Llz59SpUy9fvjx//vwdO3ZQP6gy1ySEXL9+/fTp09u3b7927Rrr6BVXbnv27DE1Nb106dLnn3++a9cu6RNSfv755/b2dur1oUOHMjIyYmNjBw0alJGRkZGRsXnzZkJITEzMnTt3Ro8eTa8pOU/WJISQV69eHTt27Ny5c21tbVFRUZ0G2elWJMvOznZ3dzc0NPzf//3f2NhYMzOzBw8eSJ+8N7S2tqalpenr62dmZna+ttTKysqa39e7GN46YWFh6enpv/zyy7Jly6Kjo/ft2yf6EdXuqMGg+vp6Ly8vOzu7y5cvHzlypLa2ViyrpKSk9PT0oKAgJSUl1sZ7+fLlffv22dvbnz9//ty5cxYWFr6+vjk5OaJbvHHjxv79+3/77be4uLhuBkypra3Nzs4WzSEmJkZdXZ1+22lUPa5XGwhan5RUPptNjWE1pmfSo1fUYNa7rUtnIgUFheDg4CtXrjg6OnZ1Q25ubhkZGe7u7nZ2dt0ZvZIQ8KBBg2bPnv3bb7/JnHlXcW2Rx+NFRkb27LZY+0NmB8jsbH19fVmDlNB5ygmu7qvvDzQAAPQqDGABiy1btujq6qqoqCxYsODJkyeEkEePHr18+XLt2rUaGhpLlixRVlbOzc1lXZMQEhkZuXfvXiMjI0VF9lv8WHPr6OgoLi5esGCBqqqqo6Pj/9fencc1ca19AD8TAmHfQUTEtbiBIgruW4uiIOKu1aoV7dUq7itardXXBRS1FvW63LZqVQQVt7rXFVtBcccVBa0sQsJOCNnm/WPq3NwkE0JEQP19P37aMJk555kzMyfJkzMnGRkZmu9FuMIghDx9+vTevXtdulTwESI0NHTOnDk2Nja6y8zKyho8eLBUKtW6CSEkLCzM2dnZzs6uW7duOTk5hBB2E60F6oi8QjKZbNWqVbNmzRo9enTdunWtra2DgoJ69epFCMnNzf3uu++CgoIGDhwYHR3NJMXmzZt38uRJdn8PHTrEPB4wYEBOTo7WTQgh/v7+p06d6t+/f3x8vGrt69evnz59uma67fLlyx4eHn369Dlx4gS7MD09ffLkyb169Zo8efLmzZvZuz9ycnLmzJkTEBAwYcKEp0+fsjVeuXJl1KhRffv2/emnnwghM2bMOHHixKZNm7p27VpSUqJn+7wnXA1VWFi4YsWK4ODgoKCgixcvEkJ+//33UaNG+fv7z5gxQzM183FjvuT//PPPo6KiLl26xB5cNUKhUC6X9+rVSyAQuLm5zZo1S/XZ5OTkXbt2rVu3zsrKSuvmYrF48+bNS5cuDQwMtLW1dXBwGDRo0DfffLNx40bV1YyMjDw8PIYMGaKWdTIgYEavXr1UB1+UlpaeO3fO19e3UlFVyN/fPzExcdy4cX369AkPDy8sLGSWa55XmhdISkrK6NGjAwICoqKitBau9TQuLCz09/dn15kxY8bVq1fVCv/tt99CQkICAgKYa5Oo3MCSlZU1Y8YMf3//SZMmMb0fQ+tlrkazWK2Xj2bnoKNeQsizZ8+YBly0aFFRUZGOfT9w4MDMmTOZFVatWqWar6wUJoeVHxmVHxn1iWSvdLwSEW2nov5HVlVWVtbMmTN79+49adKk3Nxcdrn+HXKFAbMv1sHBwaqvX7ppnrpcr2uqr6RqW2mtcfz48adOnXr06JFmpVxteO7cuWHDhgUGBp49e/b69etDhw4NDAzcu3ev6rZa+0N9OkCuZtG6rZ7HRWufo8++GPbmocJm5+p1DTimOhpB69muzxsG3d2UWgBV1acBAHwokMACXR48eODh4UEISU1Nbd68OUVRzPJmzZr9/fffWtfMyMiQSqVHjx7t3bv3sGHD2EyKKq2lURTVo0ePw4cPSySSw4cP+/r6siPqdW9ICJFIJGvWrJk7d64BY9p17Bq7UCuFQpGenn7y5Mn+/fuzCymK0lpghQ2oA5Pd69Onj9pypVI5b948d3f3mJiY6Ojo+/fvM29cOnTocOvWLUJIXl6eSCRiHr98+dLGxsbR0VHrJowbN27ExMQMGjSIXRIXF3f37t1Vq1Zp3gBy4sSJHj16dO/e/caNG8zHDKVSuWTJEl9f3+PHj4eFhZ09e5aNc/78+Z6envHx8cOHD1+6dCk7lu306dPR0dGbNm06ceLE/fv3f/zxx/79+0+fPj0hIUF1nEv142pbQkh4eLhAINi9e/eGDRvKysoIIc+fP1+2bNmRI0coiqqqm00+OG5ubp6enlxpWXd398aNGy9cuDAzM1PtqbS0tIiIiIiICGdnZ67C7969a2Vl1alTJ9WF/fr1e/nypVoigxAilUrNzc3fMWDGF1988eLFi7S0NObPY8eO9erViy28UlHpdujQoVWrVsXGxtI0HR0dzSzUPK80L5CTJ09u2rRp8+bN586du3PnjlqxOk5jTaqFv3r16ujRoz///POZM2emTZumVub8+fO9vb2PHDkSFhZ27tw51eVaL3PWw4cPNYvlunzUOgeuetUaUKlUbt68Wce+Dx06VCQSJScnp6amMjkXvY4QcL8SMTRPRT2PrGohzFFu06ZNfHy82ouI/h2yngFTFNWsWbPy8nL2uzcdNE9dHSc8+0qquZXWGh0cHKZOnbpmzRq5XK5WL1cbJiYm/vLLL7Nnz46Kijpw4MD27dsjIiJ27typOUcSV3+oowOssFnYbQ07Lmp07Ithbx40uy+te6TZ6xp2THV3s5pnuz5vGHR0U5oBoE8DgE8NEljA6f79+7/88gvzAllSUqKaULCwsFAdHqW6ZlZWVk5Ojr29/dGjRxcuXLhhw4a0tLTCwsKub508eZKrtPHjx+/du9ff33/Lli0TJ04khOi5YVRUVN++fZs0aWLAbmots27duocPH9YxbcfVq1d79OgxZsyY5s2b+/j4EELYTbQWqLsBdXvz5g07JYeqlJQUiUTyzTffWFlZubm5hYWFnTlzhhDSsWNHJmmVmJgYEhLy6NEjmqbv3LnToUMHrk0YgwYNUg3yr7/+io2NjYqK0swlZWVl3b59u1u3bra2tl5eXkyaMiUlRSqVhoaGWlpaenp6snk9Zvn48ePNzc0DAgIoinr58iXz1NixY+3t7T08PPz8/NhJiGoDroZ69OgR8w2tnZ2dh4dHYGAgIWT69OkeHh6Wlpa9e/d+9epVTcdeYxwdHdlxczNnzmQuW+aDAY/H27RpU5MmTUJDQyMjI1WH1+3fv9/Hx6dhw4Y6ShaJRC4uLmoLzc3NLSwsiouL2SUymezu3btxcXEBAQFqXUdlA2bw+fyhQ4cynzHkcvnhw4eHDx9e2aj0MXbs2Hr16tna2n777bfsPbn6nFdjxoxxcHBo2rSpr68vm2hj6b7edTAyMhKLxSKRSPOplJQUmUw2fvx4S0tLLy+v4OBgdjnXZa67WK7dVOscuOplV2YbMCEhQce+GxkZzZo1a9u2bZs3b541a1Zl52ZiMXcO2s2fYzd/DnMvoWHlfEC4XokYmqeinkdWtRAdZ5f+HXKFAau+vvfv31+fQViap66OE559JdV6wmutMTAw0MHB4bffflNbztWGI0aMsLS09Pf3NzExGTZsmL29vZeXV8OGDVXXUe0Pte6UageopsJmYbY17Lio0bEvhr150LPZNXtdw46p7m5WM059OnYd3ZRmAFXVpwEAfCgwiTtoFxcXd+HChQ0bNtStW5cQYmVlpfodWmlpqb29vdY1+Xy+ra3t2LFjCSHt2rXr1KnT7du3Bw8ezHyoYJw6dUqzNKFQOHPmzOXLl/v4+Dx48CA8PHzr1q1169atcMOYmBiJRKL6wbJSdOyaDt26dbty5Upubu7evXvDw8PXrVunu0CFQmFALQwLCwvVOylY2dnZ7u7u7KiuevXqMe9p3NzcjI2NX79+ff369TFjxjx48OD58+e3b98OCgri2oSh9mn83//+95gxYxwdHTWrPnnypJeXl62tLSGkV69e+/fvHzt2bHZ2doMGDdjCbWxsmMKzs7NfvXrVtWtXdnOhUNioUSNCCDvoxtraWiKR6Nkg1YCroTIyMho1aqQ2af3FixfPnj2bnp6enZ3N3l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alt="Monitoring ▸ Sự kiện bảo mật"></div>
+<p class="rg"><b>Trên</b>: 4 thẻ KPI · <b>Giữa</b>: ô tìm + nút ✨AI, lọc Agent/Hành động/Thời gian · <b>Dưới</b>: bảng cột Hành động dạng badge màu (thay cho ✕/✓ luôn giống nhau) + phân trang, nhấp dòng mở panel chi tiết bên phải.</p>
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="ttl">Monitoring</div><div class="r tb"><div class="tab">Tổng quan</div><div class="tab on">Bảo mật</div><div class="tab">MCP</div><div class="tab">Hành động</div><div class="tab">Agent</div><div class="tab">Agents Admin</div><div class="tab">Công cụ</div><div class="tab">Icon</div></div><div class="c grow"><div class="r tb"><div class="ttl">Sự kiện bảo mật</div><div class="grow"></div><div class="btn">⭳ Xuất CSV</div><div class="btn pri">⟳ Làm mới</div></div><div class="r"><div class="kpi2"><div class="ic blue">▦</div><div><b>1.247</b><span class="s">Tổng sự kiện · +12.3%</span></div></div><div class="kpi2"><div class="ic grn">◔</div><div><b>84</b><span class="s">Hôm nay · -8.1%</span></div></div><div class="kpi2"><div class="ic red">⛔</div><div><b>23</b><span class="s">Chặn lệnh · +3 mới</span></div></div><div class="kpi2"><div class="ic pur">🛡</div><div><b>156</b><span class="s">Chặn prompt · 12.5%</span></div></div></div><div class="r tb"><div class="srchwrap grow"><input class="inp" id="s10q" placeholder="🔍 Gõ câu hỏi hoặc từ khoá…"><span class="pill teal aibtn" id="s10ai">✨ AI</span></div><select class="btn" id="s10agent"><option value="">Agent</option><option>Security Agent</option><option>Cowork Agent</option><option value="schedule">schedule</option><option value="graphrag">graphrag</option><option>Code Agent</option></select><select class="btn" id="s10action"><option value="">Hành động</option><option value="dangerous_command">Lệnh nguy hiểm</option><option value="path_outside_sandbox">Path ngoài sandbox</option><option value="network_blocked">Mạng bị chặn</option><option value="secret_in_output">Tiết lộ bí mật</option></select><select class="btn" id="s10date"><option value="">Thời gian</option><option value="today">Hôm nay</option><option value="week">Tuần này</option><option value="month">Tháng này</option></select><div class="btn" id="s10clear">✕ Xoá lọc</div></div><div class="tblwrap grow"><table class="evtbl"><thead><tr><th>☐</th><th>Thời gian</th><th>Agent</th><th>Tài khoản</th><th>Máy</th><th>Hành động</th><th>Chi tiết chặn</th></tr></thead><tbody id="s10tb"></tbody></table></div><div class="r tb"><div class="s" id="s10count">Hiển thị 24 / 24 sự kiện</div><div class="grow"></div><div class="btn">‹</div><div class="btn pri">1</div><div class="btn">›</div></div></div></div><div class="c pane overlay hide" id="s10detail"></div></div>
+<script>
+(function(){
+  var events=[
+    {time:'2026-08-11T17:29:00',agent:'Security Agent',account:'local',machine:'DESKTOP-DEMO',action:'dangerous_command',actionLabel:'Lệnh nguy hiểm',detail:'Chặn lệnh: rm -rf / --no-preserve-root'},
+    {time:'2026-08-11T12:01:00',agent:'Cowork Agent',account:'local',machine:'DESKTOP-DEMO',action:'dangerous_command',actionLabel:'Lệnh nguy hiểm',detail:'Chặn lệnh: rm -rf / --no-preserve-root'},
+    {time:'2026-08-11T11:01:00',agent:'Security Agent',account:'local',machine:'DESKTOP-DEMO',action:'dangerous_command',actionLabel:'Lệnh nguy hiểm',detail:'Chặn lệnh: rm -rf / --no-preserve-root'},
+    {time:'2026-08-11T06:05:00',agent:'schedule',account:'local',machine:'DESKTOP-DEMO',action:'dangerous_command',actionLabel:'Lệnh nguy hiểm',detail:'Chặn lệnh: rm -rf / --no-preserve-root'},
+    {time:'2026-08-10T19:42:00',agent:'Security Agent',account:'local',machine:'DESKTOP-DEMO',action:'path_outside_sandbox',actionLabel:'Path ngoài sandbox',detail:'Chặn đọc C:\\Users\\NamPDT\\Documents\\personal.xlsx'},
+    {time:'2026-08-10T17:18:00',agent:'graphrag',account:'local',machine:'DESKTOP-DEMO',action:'dangerous_command',actionLabel:'Lệnh nguy hiểm',detail:'Chặn lệnh: rm -rf / --no-preserve-root'},
+    {time:'2026-08-10T11:53:00',agent:'Security Agent',account:'local',machine:'DESKTOP-DEMO',action:'path_outside_sandbox',actionLabel:'Path ngoài sandbox',detail:'Chặn đọc C:\\Users\\NamPDT\\Documents\\personal.xlsx'},
+    {time:'2026-08-10T15:47:00',agent:'graphrag',account:'local',machine:'DESKTOP-DEMO',action:'network_blocked',actionLabel:'Mạng bị chặn',detail:'Chặn kết nối ra 203.0.113.44:8080'},
+    {time:'2026-08-10T08:00:00',agent:'Security Agent',account:'local',machine:'DESKTOP-DEMO',action:'dangerous_command',actionLabel:'Lệnh nguy hiểm',detail:'Chặn lệnh: rm -rf / --no-preserve-root'},
+    {time:'2026-08-09T19:37:00',agent:'graphrag',account:'local',machine:'DESKTOP-DEMO',action:'network_blocked',actionLabel:'Mạng bị chặn',detail:'Chặn kết nối ra 203.0.113.44:8080'},
+    {time:'2026-08-09T14:53:00',agent:'Code Agent',account:'local',machine:'DESKTOP-DEMO',action:'secret_in_output',actionLabel:'Tiết lộ bí mật',detail:'Phát hiện chuỗi giống API key trong đầu ra, đã che'},
+    {time:'2026-08-09T13:00:00',agent:'schedule',account:'local',machine:'DESKTOP-DEMO',action:'path_outside_sandbox',actionLabel:'Path ngoài sandbox',detail:'Chặn đọc C:\\Users\\NamPDT\\Documents\\personal.xlsx'},
+    {time:'2026-08-08T14:41:00',agent:'graphrag',account:'local',machine:'DESKTOP-DEMO',action:'secret_in_output',actionLabel:'Tiết lộ bí mật',detail:'Phát hiện chuỗi giống API key trong đầu ra, đã che'},
+    {time:'2026-08-08T11:38:00',agent:'schedule',account:'local',machine:'DESKTOP-DEMO',action:'path_outside_sandbox',actionLabel:'Path ngoài sandbox',detail:'Chặn đọc C:\\Users\\NamPDT\\Documents\\personal.xlsx'},
+    {time:'2026-08-07T12:50:00',agent:'Code Agent',account:'local',machine:'DESKTOP-DEMO',action:'network_blocked',actionLabel:'Mạng bị chặn',detail:'Chặn kết nối ra 203.0.113.44:8080'},
+    {time:'2026-08-07T08:45:00',agent:'graphrag',account:'local',machine:'DESKTOP-DEMO',action:'secret_in_output',actionLabel:'Tiết lộ bí mật',detail:'Phát hiện chuỗi giống API key trong đầu ra, đã che'},
+    {time:'2026-08-06T10:07:00',agent:'Cowork Agent',account:'local',machine:'DESKTOP-DEMO',action:'path_outside_sandbox',actionLabel:'Path ngoài sandbox',detail:'Chặn đọc C:\\Users\\NamPDT\\Documents\\personal.xlsx'},
+    {time:'2026-08-06T11:15:00',agent:'Security Agent',account:'local',machine:'DESKTOP-DEMO',action:'secret_in_output',actionLabel:'Tiết lộ bí mật',detail:'Phát hiện chuỗi giống API key trong đầu ra, đã che'},
+    {time:'2026-08-05T11:00:00',agent:'Security Agent',account:'local',machine:'DESKTOP-DEMO',action:'network_blocked',actionLabel:'Mạng bị chặn',detail:'Chặn kết nối ra 203.0.113.44:8080'},
+    {time:'2026-08-05T17:16:00',agent:'Security Agent',account:'local',machine:'DESKTOP-DEMO',action:'path_outside_sandbox',actionLabel:'Path ngoài sandbox',detail:'Chặn đọc C:\\Users\\NamPDT\\Documents\\personal.xlsx'},
+    {time:'2026-08-05T09:07:00',agent:'Cowork Agent',account:'local',machine:'DESKTOP-DEMO',action:'dangerous_command',actionLabel:'Lệnh nguy hiểm',detail:'Chặn lệnh: rm -rf / --no-preserve-root'},
+    {time:'2026-08-04T15:46:00',agent:'schedule',account:'local',machine:'DESKTOP-DEMO',action:'dangerous_command',actionLabel:'Lệnh nguy hiểm',detail:'Chặn lệnh: rm -rf / --no-preserve-root'},
+    {time:'2026-08-04T10:13:00',agent:'Security Agent',account:'local',machine:'DESKTOP-DEMO',action:'path_outside_sandbox',actionLabel:'Path ngoài sandbox',detail:'Chặn đọc C:\\Users\\NamPDT\\Documents\\personal.xlsx'},
+    {time:'2026-08-03T11:45:00',agent:'graphrag',account:'local',machine:'DESKTOP-DEMO',action:'secret_in_output',actionLabel:'Tiết lộ bí mật',detail:'Phát hiện chuỗi giống API key trong đầu ra, đã che'}
+  ];
+  function pad(n){return String(n).padStart(2,'0');}
+  function fmt(iso){var d=new Date(iso);return pad(d.getDate())+'/'+pad(d.getMonth()+1)+' '+pad(d.getHours())+':'+pad(d.getMinutes());}
+  function fmtFull(iso){var d=new Date(iso);return pad(d.getDate())+'/'+pad(d.getMonth()+1)+'/'+d.getFullYear()+' · '+pad(d.getHours())+':'+pad(d.getMinutes())+':'+pad(d.getSeconds());}
+  function ini(n){return n.split(' ').map(function(w){return w[0];}).join('').substring(0,2).toUpperCase();}
+  function ac(n){if(n.indexOf('Security')>=0)return 'red';if(n.indexOf('Cowork')>=0)return 'blue';if(n==='schedule')return 'amb';if(n==='graphrag')return 'pur';if(n.indexOf('Code')>=0)return 'grn';return 'blue';}
+  function pcls(a){return ({dangerous_command:'red',path_outside_sandbox:'grn',network_blocked:'teal',secret_in_output:'org'})[a]||'red';}
+  function statusInfo(a){return ({
+    dangerous_command:{cls:'pur',icon:'⊗',label:'Đã chặn'},
+    path_outside_sandbox:{cls:'grn',icon:'▤',label:'Path chặn'},
+    network_blocked:{cls:'teal',icon:'⦿',label:'Mạng chặn'},
+    secret_in_output:{cls:'org',icon:'🔒',label:'Bí mật lộ'}
+  })[a]||{cls:'pur',icon:'⊗',label:'Đã chặn'};}
+  var maxTs=events.reduce(function(m,e){return Math.max(m,new Date(e.time).getTime());},0);
+  function render(list){
+    var tb=document.getElementById('s10tb');
+    tb.innerHTML=list.map(function(ev,i){
+      return '<tr data-i="'+i+'"><td>☐</td><td>'+fmt(ev.time)+'</td>'+
+        '<td><span class="av '+ac(ev.agent)+'">'+ini(ev.agent)+'</span>'+ev.agent+'</td>'+
+        '<td>'+ev.account+'</td><td>'+ev.machine+'</td>'+
+        '<td><span class="pill '+pcls(ev.action)+'">'+ev.actionLabel+'</span></td>'+
+        '<td class="dt">'+ev.detail+'</td></tr>';
+    }).join('');
+    Array.prototype.forEach.call(tb.querySelectorAll('tr'),function(tr){
+      tr.addEventListener('click',function(e){e.stopPropagation();openDetail(list[+tr.dataset.i],+tr.dataset.i);});
+    });
+    document.getElementById('s10count').textContent='Hiển thị '+list.length+' / '+events.length+' sự kiện';
+  }
+  function openDetail(ev,index){
+    var d=document.getElementById('s10detail');
+    d.classList.remove('hide');
+    var st=statusInfo(ev.action);
+    var sev=ev.action==='dangerous_command'?{t:'CRITICAL',c:'red'}:{t:'MEDIUM',c:'amb'};
+    var evtId='evt_'+ev.time.replace(/[^0-9]/g,'').substring(0,12)+'_'+String(index).padStart(3,'0');
+    d.innerHTML=
+      '<div class="hd2 row">Chi tiết sự kiện<span class="pchev" id="s10close">✕</span></div>'+
+      '<div class="dtl grow">'+
+        '<div class="hd3">THÔNG TIN CHUNG</div>'+
+        '<div class="fld"><span class="lbl">Thời gian</span><span class="val">'+fmtFull(ev.time)+'</span></div>'+
+        '<div class="fld"><span class="lbl">Agent</span><span class="val"><span class="pill '+ac(ev.agent)+'">'+ini(ev.agent)+' '+ev.agent+'</span></span></div>'+
+        '<div class="fld"><span class="lbl">Tài khoản</span><span class="val">'+ev.account+'</span></div>'+
+        '<div class="fld"><span class="lbl">Máy</span><span class="val"><span class="mono">'+ev.machine+'</span></span></div>'+
+        '<div class="hd3">HÀNH ĐỘNG</div>'+
+        '<div class="fld"><span class="lbl">Loại</span><span class="val"><span class="tagn">'+ev.actionLabel+'</span></span></div>'+
+        '<div class="fld"><span class="lbl">Trạng thái</span><span class="val"><span class="pill '+st.cls+'">'+st.icon+' '+st.label+'</span></span></div>'+
+        '<div class="hd3">CHI TIẾT CHẶN</div>'+
+        '<div class="code"><span>'+ev.detail+'</span><span class="cpy" id="s10copy">📋 Copy</span></div>'+
+        '<div class="hd3">METADATA</div>'+
+        '<div class="fld"><span class="lbl">Event ID</span><span class="val mono">'+evtId+'</span></div>'+
+        '<div class="fld"><span class="lbl">Policy</span><span class="val">security_policy_v2</span></div>'+
+        '<div class="fld"><span class="lbl">Severity</span><span class="val"><span class="pill '+sev.c+'">'+sev.t+'</span></span></div>'+
+      '</div>'+
+      '<div class="r tb pnlfoot"><div class="btn pri grow" id="s10closebtn">⭳ Đóng</div></div>';
+    document.getElementById('s10close').addEventListener('click',function(e){e.stopPropagation();closeDetail();});
+    document.getElementById('s10closebtn').addEventListener('click',function(e){e.stopPropagation();closeDetail();});
+    document.getElementById('s10copy').addEventListener('click',function(e){
+      e.stopPropagation();
+      var text=ev.detail;
+      if(navigator.clipboard&&navigator.clipboard.writeText){navigator.clipboard.writeText(text).catch(function(){});}
+      var btn=document.getElementById('s10copy');
+      btn.textContent='✓ Copied';
+      setTimeout(function(){if(document.getElementById('s10copy'))document.getElementById('s10copy').textContent='📋 Copy';},1500);
+    });
+  }
+  function closeDetail(){
+    var d=document.getElementById('s10detail');
+    d.classList.add('hide');
+    d.innerHTML='';
+  }
+  document.addEventListener('click',function(e){
+    var d=document.getElementById('s10detail');
+    if(d.classList.contains('hide'))return;
+    if(d.contains(e.target))return;
+    closeDetail();
+  });
+  function inRange(ev,bucket){
+    if(!bucket)return true;
+    var t=new Date(ev.time).getTime();
+    var day=86400000;
+    if(bucket==='today')return maxTs-t<day;
+    if(bucket==='week')return maxTs-t<7*day;
+    if(bucket==='month')return maxTs-t<31*day;
+    return true;
+  }
+  function apply(){
+    var ag=document.getElementById('s10agent').value;
+    var act=document.getElementById('s10action').value;
+    var dt=document.getElementById('s10date').value;
+    var q=document.getElementById('s10q').value.trim().toLowerCase();
+    var list=events.filter(function(ev){
+      if(ag&&ev.agent!==ag)return false;
+      if(act&&ev.action!==act)return false;
+      if(!inRange(ev,dt))return false;
+      if(q&&!(ev.agent.toLowerCase().indexOf(q)>=0||ev.actionLabel.toLowerCase().indexOf(q)>=0||ev.detail.toLowerCase().indexOf(q)>=0))return false;
+      return true;
+    });
+    render(list);
+  }
+  document.getElementById('s10agent').addEventListener('change',apply);
+  document.getElementById('s10action').addEventListener('change',apply);
+  document.getElementById('s10date').addEventListener('change',apply);
+  document.getElementById('s10q').addEventListener('input',apply);
+  document.getElementById('s10ai').addEventListener('click',apply);
+  document.getElementById('s10clear').addEventListener('click',function(){
+    document.getElementById('s10agent').value='';
+    document.getElementById('s10action').value='';
+    document.getElementById('s10date').value='';
+    document.getElementById('s10q').value='';
+    render(events);
+  });
+  render(events);
+})();
+</script>
+
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Dải tab Monitoring bị ẩn sau accordion — không thấy 7 màn Giám sát còn lại từ đây.</li><li><b>Cột "Kết quả"</b> (✓/✕) trong bảng thật luôn hiện ✕ vì <code>audit_log.record("security_block",…)</code> luôn truyền <code>ok=False</code> — dư thừa, không phân biệt được gì.</li><li>KPI · lọc Agent/Hành động/Thời gian · phân trang · panel chi tiết đều là <b>tính năng mới</b>: bản thật hiện chỉ có 1 ô tìm + nút ✨AI + bảng cuộn (xem <code>ui/monitoring_tab.py:_wrap_with_filter</code>).</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Bỏ ẩn dải tab Monitoring (8 mục ngang hàng) — không đổi accordion nav rail.</li><li>Bỏ cột Kết quả luôn-giống-nhau; thay bằng cột <b>Hành động</b> dạng badge màu theo <code>name</code> thật (prompt/run_command/install_package).</li><li><span class="bad">Vượt phạm vi "chỉ sắp xếp lại"</span>: 4 thẻ KPI, 3 dropdown lọc, phân trang và panel chi tiết trượt — cần bổ sung logic đếm/lọc/phân trang ở <code>ui/monitoring_tab.py</code> trước khi hiện thực, và 2/4 loại "Hành động" (path ngoài sandbox, mạng chặn) chưa có nguồn ghi log thật.</li></ul></div>
+</div></div></section><section class="sec" id="monitoring-lịch-sử-gọi-mcp">
+<div class="hd"><b>11. Monitoring ▸ Lịch sử gọi MCP</b><span class="tag">ui/monitoring_tab.py:132</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Mọi lần agent gọi MCP server ngoài.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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ym2trZFRUXEPAVisdjKyop2zX79+nE4nAkTJhw8eHDXrl3e3t7UaGljUyqVWVlZkyZN0tfX9/X1zc3N1fwGpU7S09NbunRpbGysymNHmkwsSuw4EYR279rMQAaOjo4sFosYvSJvKzQ0tLS0dPPmzREREQ4ODgEBAQihx48fOzs7I4RMTExMTU2HDh2KELKysmpoaKipqaENgrm4uGzevJk8euXn5zdkyJDDhw+rjF4hhMaPH5+VlZWdne3q6mpmZoYQYrPZq1atys3N/ec//5mQkDB27Fi8JpvNDg0NffbsWXh4+I0bN1auXElkrJeXV0RExJ49e3x8fBwcHCIjI/HpbkhIiHZHr9TlLUJo7dq1TU1NO3bs2Ldvn76+PkLIxsbm2LFj4eHhCCF/f38tJluLKioqCgoKnJycaH8tLS0tKSlZu3atQCBQ+cna2nrp0qXR0dHV1dXqIh8yZIhEIiHGibD09HQrKytc9sh0dXUbGxs7mWDs3r171tbW1tbW+OuECRMyMzOJyNuVqvYiV0bmAkYtkOTg6mofNU5y7ZPL5erqLJVQKHzvvfe+/PLL0NBQfNJIXUKLoWUAfQK16+xMT8dApadAGre61D5l3Lhxe/bs+fe//+3p6enk5MTQ1CO6PjElJSUkJCQkJCQqKurZs2e//vorbTHGC58+fRoeHn7hwgVPT8/OZwKB2vmqYGgDyRkik8kY9h2RDgBaW1s17MSpW1TJcNrsYu76VWJA6v/9NhMDAADgDQADWEAtR0fHmTNnXrhwASFkYGBAPqqQyWS6urq0awoEAjMzs7q6uvDw8DNnzgQHB1tbW/N4vGP/5e3trS62pKSkqVOnRkdHz5s3LzExESGkErCb9nTRokXp6enk29crKys3bNjQ5ggaeceJILR7x5yBzMzNzYmZQcgcHBz09PQSExMlEklFRQUxZvT48WM8aDVs2LDU1FShUMhisZycnHJyctQFwX777TeZ7H8nbRk+fLi/v39UVBR5ISYQCJydne/fv19fXy8SifA9aEKhkMPhJCUlSaXSgoKCtLQ0vLK9vT1eLpfL8TDcgAED8E8//fRTXV2dWCzOyckhJiHqDdRl1ODBg83MzOLi4nCy8W1u58+fF4vFUqn07t27XXK21kfV1NQYGPzP69jCwsJwtQ0KCkIIKZXKPXv2vHjxYuvWrYsXLyZWQwhNnTo1Pz+f4YZNhJCpqenr169VFsrlcrlcbmRkRCzR1dUdMmSIv79/enq6Jk0HQ4KxlpaWmzdvTp48GSGko6MzceLEGzdutDdVHUOujAwFjLZAkoOrq33MhZahzlK1trYaGBiYmpoyLKHVrq30cnjeqz21VXtqqz41NVeZ0/1NRe06O9PTMaD2FB1udX/66afa2tri4uKcnJyBAwe2q08kGBkZLViw4OTJk0qlkrYYC4VCHR2dpKQkmUxWUFCgMrFmZ9B2vgRyG9hmVMz7Tj4A6EwnrpLhHaj1KjEg9f9+rz2iAAAA0IW08AihUChECBUWFpIXGhkZjRkzBiGUmZmp7ikS0JP8/Pw8PDz27dtXWVmJEJJKpcS1fYSQgYFBfX097ZotLS0NDQ1Xr15FCOXn5+O7gfBFSyL4uHHjqLHx+fywsLCjR4/m5+c7ODisWbPmm2++qaysJAfsDlOmTNHT0yOfl2pIZccJtHnFZrPVZWCbZDIZ7VVWCwuL8vJy4lp3RUUFPmOsqKhQKBSWlpbDhg1LTk52cHCwsbEZOnRoWlqauiBYVVUVOf7AwMDk5OSamhrqpseNGycSifAuZGVlTZkyJTk5WSAQlJaWEpE3NDTgyC0sLKysrI4dO0YE5/P5eMCC2KJEIiHnj9apyyhLS8uSkhKVO/U8PDw8PT0HDBhgbm6u4WOhb6R+/frl5+fjz9QppZqamn744Yfr16/Pnz8/PDx8586d+La+hISE2bNn+/r6km9zUCGVSqnv/+JyuVwul3ieLiwsrKWlpby8/NKlS/iuqDabDuYEY6mpqV9//bWJiYmrq2tRURG5smuSqg4jV0aGAkZbIMnB1dU+5kLLUGepioqKLl26tHbt2rKysri4uPLycuoS2oDt2kpvRszaTjw5SJ7T/U1F23UyHCowUygU5KEuXV3dpqYm4iu1p+hwq0sMOkulUj09vXb1iYSFCxempKTggk1bjI2NjcnFXiKR8Pl8lUjIQRiotGO0nS9OP7UNZMa87+QDgM504tQMb2+tV4kBqf/3e+0RBQAAgC6khQEsV1dX9H8HsIyMjNasWYM7nrFjxx46dAjGsLRr9uzZxsbGERERxHlRRUUF+XKWjY0NHqKirvnq1Ss9PT02m42XKJVK8mEoQ2yurq5lZWV4Ko28vDyxWDx8+HCGc9quMnXqVBMTEw8PD/x13Lhx1tbWbc6eQN1xAu3e6enp0WagJp4+fWpqauri4qJymF5dXW1paclisfABaL9+/YjjvMePH7u4uFhbWxcXF+fl5Tk7Ow8ePPjkyZP29vbqgiCEVGbcP3Xq1IoVK4qKip4+fUpezmazvb29zc3Nycegzs7OEomEPNBGPCxWW1tbWFi4c+dODfe3N1CXt/X19f369SOv6ejoGBQUFBcXV1JS4uzsPHr0aO2kWNscHR0HDhzY5llTfX39yZMn9+zZM2jQIPx6soaGhoMHD27cuLGmpkbd2wCePHnC5/NdXV3Jk6N7e3sXFRURQ0XqRqA6mWCZTHb37t0JEya4u7vHxsa2N1UdRlRG5gJGLZAqwWlrX5uFtr119tatW7dv3w4ICFi9ejV+b6PKErlczuFwdHV18aglPpnviy0D1Tv6BiqjV8Sc7o1K5Rv8IkLarjMzM7NjPd3r168HDhxIDGRYWVm9evVK3cq0BZi2jLWJoRtFlD4R8/DwMDU1/fXXX/FX2mI8bNgw8ug2bSXtwMU5dZ0vHohvbxvIvO/kA4AurKqdjwr6XAAAeMv1ikcIx4wZU1VVdfz48ePHj1dVVeFbsYC2CAQCT0/PuLg48tBMQUGBUqmcPHmyoaGhv7+/TCYTi8W0a1ZXVxcWFgYFBRkYGLi4uDg7O1NPEWljE4vFdnZ2bm5uHA5n6NChjo6ORUVFPbC/n376ach/3blzJyYm5vz58wKB4JtvvlH37APtjhNBaPeOdqGGKayvr09KSlq1atW4ceNMTExMTEwmTpzo4eGBz/9nzZplZGQkEAiCgoJSU1NxkJycHF9f32fPniGEcnNzvby8ysvLFQoFQxAqsVh86tSpNWvWEHMAYS4uLoaGhuvWrSPyLTMzc/z48SKRyNzcfNKkSVwu183NjTisFIlEfD5/4sSJXC63zZ2VSqU2NjZstpabJnUZJRKJdHR05syZY2RkJBQKvby8BAJBfX09/je7dqKTPoHNZgsEgokTJ65evTo+Pl7dwI1QKJw+fTqfz+dwOG5ubnp6euRbG8rKyr777rvly5erm7VEIpEkJiaGhIS8++67RkZGZmZm/v7+M2fOPHfuXDclmOz69euTJk1qampSuXG4C1PFgLaAEa0NtUCqBKetfeoKLVH72lVnCWKxWKXNJJYoFIqKioopU6ZwudyJEydaWFioS1uf06hU7qx5rXKzVZpcurPmdeN/7215I9F2nR3u6f788885c+YIhUI9PT08GRPxEDoVbQGmLWOorT6lXX0iQsjExGTu3LmnT58mblyiLcZ4oZ+fH+4NR40apUkmtEld59uuSIgMYd538gFAF1ZVdVFp3vW/5X0uAAAAeAshUGVtbS0QCL777jtiyeHDh7Ozs6Ojo0NCQgIDA58/f46v/qlb8/jx4ytWrIiMjCwpKfnuu++op4hKpZIa24sXL86cOTN//k45uOwAACAASURBVHx8GfD777/H4y/awmKx1M0oTLvjxcXFOAjt3tEu1FxycnJ1dfXkyZMXL17c0NDw4MGDH374oaWlJSoqatGiRbt3725oaLh16xbxNEd+fr6lpSWeR+zFixd8Ph/PiMEQhNaDBw+uXLmyfv36Xbt2EXNs+/j43Lp1izwzyNWrVzdt2hQfH3/o0KFFixbNnTv30aNHd+7cwRMMKRSK6OjohQsXzp8/v6mpKSsrKyYmRt0Wb9++HRoaunfv3n/9619yubxdudSF1GVUc3NzVFTUwoULd+/eXVtbGxMTU1RU9O677+7cufPly5cZGRnMk4K/YcLCwpRKpVQqFYlER44cIb9pKywsjPi8atWqioqKyZMn79ixQ0dH58WLF4cPH1aZsj0/P//cuXOhoaG7d+8uKyujbuvnn3+urq6eOnXqsmXLWlpaRCLR/v37nz9/3k0JJo9NV1VV5ebmZmRkdFOqWCwW9UZOQnZ2Nm0Bw60NtUCqBKetferiJNc+zeusq6vrypUr9fX1S0tLT58+TbsEIXT27NmlS5dOnz49NTUVnzm3q2XotR420TdTb/C9Vww63NPdvHnTwMBg5cqVpqamr169unz58oMHD9StrK4AU8sY+r+lmhpVe/vE4OBggUCwa9cu/PWXX35JSEigFmO5XH7kyJGFCxfOnTv34cOHqamp1PdXdIC6zrddk+6RM4R538kHAF1VVdXVes27fnX/PgAAgLcEq+enHMZvOSHfVY4fIcSPDRoZGTE/QigUChctWjRs2DA2m/3w4cPDhw+rm6SAHP+JEydOnTp17do1hNCBAwfs7e3xT8+ePVu3bl3nd0pb8DXGhoaGjgXn8Xh4QgHQS8jl8j59MwLZRx99VFRU1IHJxXrGm5TV3QoyqqvQ5qS+vn5UVNTq1auVb/TdOn0aVAHIAQAAAAB0FblczmazOzyC0SvuwJJIJIcOHVq+fLlEIjl9+jTD6NWoUaM2btyYkJBw7NgxiUTi5eXl6urKcJ85FhQUpHIrzZYtW+7fv981qQcA/F9cLnfUqFEjR468ePGittMCQO/FYrF8fX3z8vL6xOiVyt00MTExXfhuNQAA0Byfz1+zZs3XX3+t7YQAAADoab1iAAshJJFIOBxOVlYWw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FgsX75cIBDU1dUlJSVJJBLtzbm7u0skkqKioilTphADWHw+f/ny5Y6OjhKJRCwWGxsbJyYmUmUYHx9//Pjx4OBgMzOzGzdunD17lrgh7v333//rX/+q0c0dnKjK1tjYePHixa6urkwmMzk5OT8/38fHJzAw0NLS8uHDh8eOHWtqahro2PsPftNTfn6+RCKJiYnJysoiPajMzc2ZTGZ+fn5HR0ddXZ3GjQxjxowJCgqKjY3VuJORwOFwQkJCjh49evfuXXxJTk4OQmjJkiXbtm0jknV0dEgkkpycHDc3N9IBLN0DxhUUFAQEBBAXaRwOx8vLixic0jEqeqtXr/5//+//IYQWLFgQFhYWHx+/ZcsW9UOItIrNmTPHz8/PwMDg+vXrZ8+e/Z//+Z/CwsLc3Fw8qtjY2E2bNk2bNk09jUYdNDAwIK25p06dWrBggaGh4ZkzZ+Ry+YcffsjhcDIzM3/55Rf1sOPj41NSUhYtWpSRkZGTk0MaJGm9oGqael4mAwJz5yCxiiH/z+1+b9ToFc2JRsfGU+NIJnKYOnXqsWPHEELEf187JdVW1HMQCoV1dXX4qfPSpUvTpk1zdHRECOl+jibtAGjQvctEmhuXy6U5a8THxx8+fHjhwoU8Hk8kEp08eRJvJ0kLX6PuqOfj5+eXnZ2NYf86KGm6TKT9Og30bSMBwzCxWFxfX29qatrR0XH16lVfX98LFy5Q7SwAAADQqddkDizQR5ydnfFrAwcHh8rKSqLrI5FINN5fSaS0trZmsVjTp0/fv3//rl27fHx8tLMlzQ3DsMLCwpkzZxoYGPj6+paVlWn/hEgVBpvNXrFixenTp7vxyBtNwKQ/ThKYTCafz588eTIxnISvQhpkpwVIQyAQMBgMYvRKfVsRERE1NTVbt26NjY11dnYOCgrCA4uIiHjw4EFUVNS5c+e8vLyIgCMiIh49ehQVFZWdnb169WrSHZw6dWphYWFRUZGrq6uFhQW+Ynh4eFlZ2WeffZaamvrOO+90mqG3t3dsbGxcXNyUKVOcnZ337t2LX3WEhYUNidErqrJFCK1bt06lUu3YsePbb781MDBACNnb2yckJERFRSGE/P39BzLugVNfX//w4cPRo0eTfltTU1NdXb1u3Toej6fxFZ/PX7FiRXx8PM3P8qNGjVIoFMQ4ES4vL8/Ozg4/RNXp6+u/evWqhwHjbt++zefz+Xw+/uf06dMLCgqIzLsUFZWjR4/++uuv//znPzWuNnGkVczJyWnatGlffvllREQEfiWfl5c3ceJEfBUPD4+ysjIbGxuNNOp1UKlUUtVcNze3L7/8Mjk5eenSpQEBATt37oyPj58/f7725FMuLi5bt27Nycmhage06wVV09TzMtGxtHsdZqWHLTLFuP/qSr1Ro1dU/03dG0/tIxnn5OT06tUr9Z+UtFPSbEU9BzabTfQKMAyTy+U8Hq/Xz9EE3btM6rhc7vr16//xj3988skn2i0kQsjX1/fgwYNbtmxhMBihoaGIuvBp6o6rq+u9e/fwzzp2mYjd0UbfNhJYLNbbb7/NZDJFIhFCqKSkZOzYsTRbBAAAADoFA1iAkkAgmDdv3rlz5xBChoaG6uMOLS0t+vr6pCl5PJ6FhUVTU1NUVFRiYuLixYv5fD6Xy034Nx8fH6rcMjIyZs+eHR8fv2jRovT0dISQjisuXbo0Ly+ve0/HkAbc0NCwceNGmucXPDw8jhw5EhMTU1lZef/+fYQQsQppkPQFSM/S0hKftkODs7Mzm81OT09XKBT19fXE0JKTk5Oenl5GRkZLS8vDhw+J6S1GjhzJYrEyMjKUSiU+HDZs2DDt0hAKhcXFxTKZTCwW47++Ojk54Ss2Nzc/fPjw+vXrnWZ4+fLlpqYmiURSWlpKzC40hFCV7YgRIywsLJKTk/G9w8cuz549K5FImpubf//9925c87w2Xr58aWhoiH+OjIzEq21ISAhCCMOwuLi4J0+eREdHL1u2jEiGEJo9e7ZIJKK5YRMhZGZm9vz5c42FSqVSqVQaGxsTS/T19UeNGuXv75+Xl6fRdHQ1YFx7e/uVK1cCAgIQQnp6ejNmzFCfwEXHqHqCtIp1dHQYGhqamZkRyYqKikaMGIFv1NPT8+bNm9ppOs0W/yorK6u5ufn27dsqlep///d/m5qaxGJxbW2t9oF99erVlpYWmty06wVV09TzMulGPr2CeUWBatrwMaw3avQKUf83dW88qY7SqVOnahwb2imptqKRg1gsdnJyevvttw0MDLy9vYcPH66np9fDczRV26J7l0nDvn37wsPDd+zY0dLSsmbNGu0Ely9ffvbsmUwmO3/+/IQJE1DXqxKLxWKxWERIunSZ1HdHG33biIuMjDx48OCqVatu3bqFT87w4sUL3Qf3AQAAAFLwCCEg5+fn5+np+e233zY0NCCEmpub8ZtNcIaGhjKZjDRle3u7XC6/dOkSQkgkEt27d08oFObk5Kj/Hjh58mTt3MzNzSMjI48ePYpPmvDJJ598/fXXDQ0Nna44a9YsNpvd7ZlBSQOmv5xGCBUVFa1evdrCwiIwMHDt2rX79u0jviItKyaTSVWAnWppaSHt81lZWdXV1RG/8dbX1+P9ex6Ppz7rqkKhMDc3x9Pb2dklJCQQX5mbm2vs6eTJk8ViMR5bYWHhrFmzMjMzeTxeTU0NsSG5XI5viCZD4k2gCoVCfceHCqqytbGxqa6u1vjV2tPT08vLa9iwYZaWljo+Fvpasra2xn9mR2RTSqlUqgsXLmRlZYWGhkZFRe3cubOtrQ0hlJqaumDBAl9fX/z5O1LNzc3abyLjcDgcDod49CYyMrK9vb2uri4tLQ2/K4r0/h3dA8bl5ub+/e9/NzU1dXV1raysxFs53aPqIdIqVlZWlpaWtm7dutra2uTk5Lq6ulevXpWUlIwfP/7OnTsODg53797t6OjQSNNptnjNJV4N8erVK+KeuJaWFjabrREbUcepctOuF1RNU8/LpNMWu69giPmrvGMWF1tpjhBCD1RvyOgVoj3R6Nh4VlZWah+lHA5n7NixP/zwg/q2tFNSbUUjB6lUmpCQEBoaumrVqqKioqqqKqlUymKxenKOlsvl2m2L7l0mbXhLKJVKk5KS8FdtajQgz549wz/IZDIjIyMGg9HVqqQ+oKZLl0ljd0jRtI04fA4sGxsb/Enkf/7znwghlUrFZrNVKhXN1gEAAAAaMIAFSCxYsMDExCQ2Npboa9bX16vfR2Nvb4+P+GinfPbsGZvNZjKZ+BIMw7R7KqS5ubq61tbW4jMylJeXSySScePGaVzTkq4YEhJiamrq6emJL5w8eTKfz1d/HoGeLgGTwjDsxYsXFy9ejIuLI1anCpLNZpMWoC4ePHhgZmbm4uKicYEtlUptbGwYDAbeibe2tsbvB1EoFOrX1dbW1viHxsbGioqKnTt3Um2IyWT6+PhYWlqqXxwKhUKFQqE+gkY849BphkMXVdnKZDKiPHECgSAkJCQ5Obm6ulooFBJPcr1pBALB8OHDNZ6n0yaTyU6cOBEXF/fWW2/hr+WSy+X79+//29/+9vLlS6qXBty/f9/c3NzV1VV9jhUfH5/KykriSo9qBKqHAbe0tPz+++/Tp093d3c/ffp0V6PqIaoqdu3atRs3bgQFBa1ZswZ/FxgeJJPJLCgowNsi7TSdZtslxPsuSHMjrRdUTVOXDLpmBx/D0uMihN6c0StE/d/UvfFEZEfppEmTiouLtW9/1khJtRXtHEpKSvB+hbGx8Y4dOyorKxFCvXuO1r3LRE9fX5/BYGj3QIhJsoYNG/b8+XMMw7palVpaWjgcDv559uzZ9F0m7d2hypOqbSRgGFZXV3fjxo0pU6bgSwwMDGD0CgAAQE/AI4RAE4/H8/LySk5OVu+7PHz4EMOwgIAAIyMjf3//lpYWiURCmlIqlVZUVISEhBgaGrq4uAiFQu1LRNLcJBKJo6Ojm5sbi8UaM2aMQCDAO5qdrvjpp5+G/dvNmzeTkpJ0H72iCpjH43399ddU9/y/9dZbgYGBpqamxsbGc+fOffDgQUdHB7EKaZCkC3WMUCaTZWRkhIeHT5482dTU1NTUdMaMGZ6envj1//z5842NjXk8XkhICD6Ls1gsNjc39/Pz43A4bm5uHh4eeD748hkzZhAdWQ0uLi5GRkbr168nyrOgoGDq1KlisdjS0nLmzJl4hsQYTacZqmtubra3t2cyh0abQ1O2enp67733nrGxsZOTk7e3N4/Hk8lk+H+Tak6f1xiTyeTxeDNmzFizZk1KSgrVwI2Tk9PcuXPNzc1ZLJabmxubzSbu30EI1dbWHjly5KOPPnJ2diZdXaFQpKenh4WFTZo0ydjY2MLCwt/ff968eWfOnOmjgNVlZWXNnDlTpVJVVFT0UVRU6KuYRCIh2qjS0lJ7e3svLy+Nd5mppyHqYJdqLoGqVSTNjbReUDVNXdK94PsWhpiX5czLb9DoFaL+b+reeBJZqR+lU6dO/e2336g2SqSk2gppDgwGw87OLjw8/MqVK62trb17jta9y0SVw9KlSy0sLExNTZcuXXrv3j2lUqlR1xYsWGBqasrj8UJDQ/FH+LtalfDhPLzKkHaZiC2S7g4VqraRgN8sNnXqVPz/ZWFhQdzjCQAAAHQP3IEFNPH5fB6Pd+TIEWLJwYMHi4qK4uPjw8LCgoODHz9+jN+hQ5Xy2LFjq1at2rt3b3V19ZEjR7QvETEM087tyZMniYmJoaGh+E+pP/zww6NHj3RZsee0A+bxeAwGg2pu4JcvX7q6ugYFBbW2tpaWlhJh4KuQBtnDyDMzM6VSaUBAwLJly+Ry+Z07dy5cuNDe3r5v376lS5fu3r1bLpdfu3YNfyhAqVQeOnTogw8+WLhwYUlJSW5uLn7PVFtbW3x8/AcffBAaGqpSqQoLC5OSktS3MmXKlGvXruHz2uAuXbq0ZcuWlJSUAwcOLF26dOHChXfv3r158yY+c1CnGaq7ceNGRETEnj17Nm/er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y4ElPRUVFcrk8Njb20qVLtAcGn89ns9lFRUW9vb1NTU1asxumTp0aFBSUkJCAJ1RS8Xi80NDQI0eO3L59Gy/Jy8tDCK1Zs2bXrl1kst7eXrlcnpeX5+7uTjuApX/AWHFxcUBAADmAxePxvLy8yMEpPaPSLTIy8le/+hVCKDg4OCIiIiUlZceOHZqHEG2902oQ/u///q+kpCQ/Px9HlZCQ8P777y9YsEAzDTkp9e23337vvfeMjIyo2aakpJw6dSo4ONjY2PjMmTMKheI3v/kNj8e7ePHiP/7xD9r4yYC1QtLanOaoH2JogjRzS0lJSU9PX7lyZU5OTl5eHm0haNXEBQsWaO0gbf3VzNnDw4NabkwHIS3Cg4dknSzFf6f7javRK6bvUf/Gk3pqw+bPn3/s2DHEfIDp2MqAUbsHmIODg1gsLisrw29ZLJa9vX1SUpJarc7NzQ0NDeVwOFqb1l2VmM62tKd1AAAAAGiCASygi4uLC75UsLe3r62tJYh/98flcrmtra3m+AuZcsKECRwOx8/Pz8fHR6FQnD9/npysRNKdm62trVgs/vLLL5miYrPZtra2Pj4+3377rT6x6cblcsm7jQiCUCgUQqEQ7wv5i6vWFknUUHHXlhpPZ2fngIN0cnJasGDBRx991NraSi7csmVLfX39nj17+Hw+efeTj49PYmKihYVFTEzMjRs3ZDJZdHR0aWnp4cOHPTw8IiMjd+3axWKxoqOji4qKDh06JBKJNm3aRF5+68Bms6lZkbsz9uBSKisrS01NNTU1/d3vfhcUFPT3v/8d0ZW8nZ3d0aNHHz9+/M477/j7+589e3a4wx8Gzc3N1dXVU6ZMoR0PamhoqK+v37JlS3p6+uPHjzU/EolE/v7++/fvb2lpYcp88uTJSqVS60AtLCxcu3atQCDQWtHQ0PD58+eDDBi7ceNGRESESCTCw/F+fn7FxcUcDmcAUTE5cuRIS0uLSqXSalsw2nrn6Oio1SAUFhZ6e3vjgZhZs2ZVVFTY2NhopUlKSgoPD3/48OHly5fZbPYf/vAH2urs7u7+0Ucfubu7r1+//pdfftm7d6+NjY1UKi0sLNQxMkttozQ3R7tTfTZB06ZN27lzZ0dHB1Pjo1UTNbfIYrH+8Ic/0NZfzZw7Ojq0yq1fo1cIIcLaAHlYoL+14TGscTV6xfQ96t940p7aEEJOTk7Pnz/X/A2MmlLHVvrk4uKi/y38XC43PDz8+PHjixcvxksIgigpKXnjjTe+//77efPmVVRU0A6c6ahK1BucMdrTOgAAAAA0wUPcASOxWLx8+fKvv/4aIWRsbKz5E3pHR4ehoSFtSqFQKBAI2traYmJiTp48uXr1apFIZGZmdvQ/fH19decWEBCQm5uLe3haKyKEZs2adfjw4djY2Nra2rt37/YZW59kMpmTk9OcOXOMjIy8vb0nTZpkYGDw+PHj7du3414pdYu0oZKr0MYzmCB7e3uNjY0tLS3JJY6OjgKBIC0tra2tTS6Xk0OEFy5caG1traurKy8vnzRpkrOzM4fDycnJUavVeIrZxIkTnZycDAwMcnJyOjo6qqur8RM9+kSblZ7xj0YuLi5cLjc7O1upVDY3N2dmZr7++uuIoeQzMjLkcrlKpfrpp59sbW2HO/Zh8+zZM2NjY/xaKpXiahsaGooQIggiMTHxwYMHu3fvDgsLI5MhhJYsWVJVVaVjwiZCyNLS8smTJ1oL1Wq1Wq02NTUllxgaGk6ePNnf37+wsJDadPQrYKynpyc3NzcgIAAhZGBgsHDhQs3hGD2jGgzaekdtEEpLSx0dHfFGPT09r127Rk3TZ7b4o0uXLqlUqhs3bnR2dv7zn/9sa2uTyWSNjY26D2zdm9OiZxP0ww8/dHR0MEXL1AZiTPVXK2dquekTvyZ2rhI1dBMrLQgz9rgavULM36P+jSfTYTN//nyto4KaUvdXrJtYLPby8tIz8bp16woLC7VuTc3JyVmyZElKSsrKlStQ9EawAAAgAElEQVSzs7NpV+xvVdJ9SAMAAAAAgxlYgJ5EIvH09Pz000/xdAmVSmVkZER+amxs3N7eTpuyp6dHoVDg2QRVVVV37txxdXXNy8uLiIggV/fx8WHKjcfjzZkzZ+fOnfitQqHQXBEhVFpaGhkZKRAIAgMDN2/enJycrCM2fbS0tBw9enTVqlUbN24sLS2tq6vTmjpB3SJtqCTaeNhs9oCDrK2tzcrK2rJlS2NjY1paWlNTk42NTX19PfVXXPJyWqVScblca2trW1vbo0ePkgn4fL65uTn5rH2EkFKp5PP5fcZAm5XuQYdRzdrauqmpiZxi1tzcjK+daEve09PTy8tr4sSJVlZW+k/9G3smTJhQVVWFX1MfKdXZ2Xn27NlLly6tWrUqJiZm79693d3dCKHMzMzg4OBFixbh++9oqVQq6j+R8Xg8Ho9HTguSSqU9PT1NTU1ZWVl4JohW09HfgLH8/Py//vWvFhYWbm5utbW1mtPH9IlqkGjrXUVFhVaD8Pz587Kystdee+3WrVv29va3b9/u7e3VStNntrg6kzNcnj9/TraEHR0dXC5XR5zUNkpHYqFQqE8T9PTpUx3RmpmZ0baB5Cq09VcrZ2q56QibHoHY3yt6F5sRG/gIIXSvc5yMXiHm71H/xpP2sOHxeNOnT//qq680t0VNqfsrJr311luBgYHU5Z2dneXl5QqFQvc+Ll68mMvlas0i5PP5Uqn0yJEjVVVVLi4u77777scff6w1sRT1vyoxndYBAAAAoAkGsACN4OBgc3PzhIQEsi/V3NysOaHdzs4OD1FRUz569IjL5bLZbLyEIIjOzk6t/JlyQwh5eHhUV1frvo+DIIinT5+eO3cuMTGRzWbryE1PZWVl+PEWpqame/bsqa2t1b1FvGtModLGw+VyBxPklStXCgoKgoKCNm3aFBsb297ePmHChD7Xam1tramp2bt3r+bC6dOna151k/mo1WoOh2NoaIiHFbQuKWmzGsNaWlpsbGxYLBa+QJowYQIeHKSWvFgsDg0NTUtLq6+vd3V1nT179vBEPNzEYvGkSZP6HAJob28/fvx4YmLiq6++iu/iUSgU+/fv/+Mf//js2TPNZ65punv3Lp/Pd3Nz03w4uq+vb21tLTlUxDQCNciAOzo6fvrpJz8/Pw8Pj9OnT/c3qkFiqndaDQJCCAfJZrOLi4txA0VN02e2g6Fjc1qUSiVtE6SF/AMQ2minTZumow1kqr9aOSO6cus3PIZlYIYQGj+jV4j5e9S/8UR0h83cuXNv3rxJvSlPK6Xur5iUlZWVlZWltTAwMPDJkyd9jl4hhJYsWWJhYeHp6Ynf+vj4iESiurq6xsZG3GeorKyUy+UzZszQMf5ORXu21fO0DgAAAIxzcAsh0CYUCr28vNLS0jR789XV1QRBBAQEmJiY+Pv7d3R0yOVy2pQtLS01NTWhoaHGxsbTpk1zdXWlXiLS5oY/mjVr1p07d5hie/XVVwMDAy0sLExNTZcuXXrv3r3e3l4duemPxWLZ2tpGRUXl5ubiJ7J//PHHhoaGtFukDZVchTaeIQlSLpfjGw9lMpmBgcGvf/1rU1NTJycn8vH5WmQyGZ/PX7hwIY/H01ookUh4PJ67u/usWbPw8u7u7ubm5sWLF/N4vIULF1pbW/eZ1RiGx1ZWrFhhamoqFApDQ0Pxg3KoJS8UCtvb2/G3qf9tKWMGm80WCoULFy7ctGlTeno608CNk5PT0qVL+Xw+h8Nxd3fncrnkLBiEUGNj4+HDh3/729+6uLjQrq5UKrOzsyMiIubOnWtqaioQCPz9/ZcvX37mzJkXFLCmS5cuvfHGG52dnTU1NS8oKia66x3ZICCEysvL7ezsvLy8tO6D00yjUqns7OzYbPbAqjPZxOlIQ7s52p2iNkFMmNoxahtIbpGp/lIxlVv/EIh9QcG+MI5GrxDz96h/40lmpXnYzJ8//8cff2TaKJlS/6+Y6l//+teNGzf0Sfn73/8+4j+uXbuWmpqKbxh3cHBwd3fncDhTp04Vi8XUH710oz3b6nlaBwAAAMY5mIEFtIlEIqFQePjwYXLJwYMHS0tLU1JSIiIiQkJC7t+/j+/mYEp57NixjRs3JiUl1dfXHz58mHqJSBAENTfM2dn54sWLTLE9e/bMzc0tKCioq6urvLwcr6gjNz3FxMQ4OTkpFIr8/Hxy6ywWi8Vi0W6RKVS8Cm08gwnSzc0tMjLSyMiooaHhxIkTCKGurq7k5OS1a9fGx8e3trampqbSrtjd3Z2SkrJ27dpVq1Z1dnaWlJSkpqaq1epDhw6tXbv2rbfeKisry8/PFwqFOP2pU6fCw8OXLl2an5+v9Yxb2qz034VRp6enJzk5ed26dfHx8QqF4sqVK/guEmrJ19bWzp07d+/evQ8fPiwqKpoyZcpwx/7ySKVSgiBUKpVMJjt06JDm35BJpVLydVRUVHNzc0BAwJ49ewwMDB48eHDw4EGtG3WrqqrOnDkTHR0dHx/f2NhI3dZ3333X0tKyZMmSDRs29PT0yGSyzz777P79+y8oYM1B+adPn1ZUVND+I9iQRKUDbb2jNggIIYIgbt686erqWldXh+gaDYRQQUFBdHT0vn37/vSnPw2sOuMmjrq8z82p1WoysY4mSP9CoG0DNbdIW3+ptMoN6I/pe9S/8aQeNvb29gRBPHjwQGtb1JRMW9HHL7/8Mpgdf/DgwcmTJ1etWoWnfX311VcDyJB6ttXztA4AAACMc6zx/MjhMQD/cKfPTHhaZmZmup9sAl4ytVo9TqY4DTsoaj1BQQ2VF12SYWFhDQ0N+l/GA6zPcoMq8NJKYO3atXK5/OrVqy9hWwAAAAAYFmq1ms1mD3gEA2ZgAQAAAKObq6urh4fH2bNnhzsQGloTTlNTU/X889OXYCSX23jD4XA8PDyoj6waqzgczp///Oe//OUv1Ad+AQAAAIAJzMAa3WAG1hgDP/W/NFDUeoKCGiovriSjoqJcXFxOnjxZXl7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alt="Monitoring ▸ Lịch sử gọi MCP"></div>
+<p class="rg"><b>Trên</b>: 4 thẻ KPI · <b>Giữa</b>: ô tìm + nút ✨AI, lọc Server/Kết quả/Thời gian · <b>Dưới</b>: bảng có badge Kết quả (✓/✕ phân biệt thật theo <code>ok</code>) + phân trang, nhấp dòng mở panel chi tiết bên phải. <b>Bảng hiện tại</b> (ảnh trên) không có ô lọc/tìm kiếm nào — khác biệt không chủ đích so với 2 màn log kia.</p>
+<div class="cap">Đề xuất — bố cục mới</div>
+<div class="wf">
+<div class="rail">
+<div class="menutog"><span>MENU</span><span class="chev">‹</span></div>
+<div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div>
+<div class="newbtn">+ Đoạn chat mới</div>
+<div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div>
+<div class="sep"></div>
+<div class="hd">RECENTS</div>
+<div class="scope">📁 Báo cáo tài chính Q3</div>
+<div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div>
+<div class="grow"></div>
+<div class="sep"></div>
+<div class="i">Dashboard</div><div class="i">Monitoring</div>
+<div class="acct">👤 local · Ollama ▾</div>
+</div>
+<div class="main">
+<div class="ttl">Monitoring</div>
+<div class="r tb">
+<div class="tab">Tổng quan</div><div class="tab">Bảo mật</div><div class="tab on">MCP</div><div class="tab">Hành động</div><div class="tab">Agent</div><div class="tab">Agents Admin</div><div class="tab">Công cụ</div><div class="tab">Icon</div>
+</div>
+<div class="c grow">
+<div class="r tb">
+<div class="ttl">Lịch sử gọi MCP</div>
+<div class="grow"></div>
+<div class="btn">⭳ Xuất CSV</div><div class="btn pri">⟳ Làm mới</div>
+</div>
+<div class="r">
+<div class="kpi2"><div class="ic blue">▦</div><div><b>892</b><span class="s">Tổng cuộc gọi · +8.4%</span></div></div>
+<div class="kpi2"><div class="ic grn">✓</div><div><b>823</b><span class="s">Thành công · 92.3%</span></div></div>
+<div class="kpi2"><div class="ic red">✕</div><div><b>69</b><span class="s">Thất bại · 7.7%</span></div></div>
+<div class="kpi2"><div class="ic pur">◔</div><div><b>7</b><span class="s">Hôm nay · cuộc gọi</span></div></div>
+</div>
+<div class="r tb">
+<div class="srchwrap grow"><input class="inp" id="s11q" placeholder="🔍 Gõ câu hỏi hoặc từ khoá…"><span class="pill teal aibtn" id="s11ai">✨ AI</span></div>
+<select class="btn" id="s11server"><option value="">Server</option><option value="ms365">Microsoft 365</option><option value="github">GitHub</option><option value="filesystem">Filesystem</option><option value="search">Brave Search</option><option value="db">PostgreSQL</option></select>
+<select class="btn" id="s11status"><option value="">Kết quả</option><option value="ok">Thành công</option><option value="fail">Thất bại</option></select>
+<select class="btn" id="s11date"><option value="">Thời gian</option><option value="today">Hôm nay</option><option value="week">Tuần này</option><option value="month">Tháng này</option></select>
+<div class="btn" id="s11clear">✕ Xoá lọc</div>
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+
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Dải tab Monitoring bị ẩn sau accordion — không thấy 7 màn Giám sát còn lại từ đây.</li><li>Bảng <b>Lịch sử gọi MCP</b> thật hiện <b>không có ô tìm/lọc nào</b> — còn thiếu hơn cả Sự kiện bảo mật: <code>ui/monitoring_tab.py:166-168</code> tạo thẳng <code>self.mcp_table = _EventTable()</code> rồi thêm vào tab, không bọc qua <code>_wrap_with_filter</code> như Sự kiện bảo mật/Nhật ký hành động — đúng như đã ghi ở ảnh Hiện tại.</li><li>KPI · lọc Server/Kết quả/Thời gian · phân trang · panel chi tiết đều là <b>tính năng mới</b>: bản thật chỉ có bảng 7 cột (Thời gian/Vai trò/Tài khoản/Máy/Tên/Kết quả/Chi tiết), không tìm không lọc không phân trang (xem <code>ui/monitoring_tab.py:_EventTable</code>).</li><li>5 server trong bảng mẫu (M365/GitHub/Filesystem/Brave Search/PostgreSQL) chỉ là ví dụ minh hoạ lấy từ docstring <code>core/mcp_client.py</code> — server thật phụ thuộc Admin đã cấu hình connector nào ở Settings, không có sẵn mặc định.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Bỏ ẩn dải tab Monitoring (8 mục ngang hàng) — không đổi accordion nav rail.</li><li>Thêm ô tìm kiếm + nút ✨AI cho bảng này để đồng bộ với 2 bảng log kia — hiện là bảng log duy nhất trong 3 bảng không có tìm kiếm.</li><li><span class="bad">Vượt phạm vi "chỉ sắp xếp lại"</span>: 4 thẻ KPI, 3 dropdown lọc (Server/Kết quả/Thời gian), phân trang và panel chi tiết trượt — cần bổ sung logic đếm/lọc/phân trang ở <code>ui/monitoring_tab.py</code> trước khi hiện thực; danh sách server chỉ minh hoạ, không phải cấu hình mặc định.</li></ul></div>
+</div></div></section><section class="sec" id="monitoring-nhật-ký-hành-động">
+<div class="hd"><b>12. Monitoring ▸ Nhật ký hành động</b><span class="tag">ui/monitoring_tab.py:132</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Nhật ký cấp ứng dụng: ai đổi cấu hình, ai chạy task.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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3NzHo+H/U2cUorYhrHHeTIyMgIDA319feVvBlQgFouJb8lkMplMJhN/YDMyMrKzs7Ouru7ChQtYc+1216E8YExubu7OnTuNjIycnZ0rKyuxvZzqUXWLw+Hg775ACIlEIjabjf1N1a4UukxfOh1VOydVWVl54cKF8PDw2tra9PR0+bAxxN6hvHx8tu/W1lb8/juJRKKjo6NKAtXrh6qG1QWftR1/clB+TvehSiKRKLnTEB/bFYvFPfq+SEvr6RGEuHYqCsfBbtskpqWlhbh7UX5IxTCZzPHjx585c0ZhObFAJeVjW0rVuUhje/HiBfaHUChksVg0Gg3LKL8rINZwaWmpQpdX5YuQSCRlZWUTJkz4+++/9fX1+Xy+h4cHaS4l20i1dT3aZQEAABiS3qQBLH19/R07dqSmpn799dfm5ubz5s0jTebk5LRo0SL8rWrdEovFu3btQgiRviyvF+rq6hYuXKiWojQlMDDQ0NAwMTER/ylSX18vf2nUysoKG6Iipnzx4oWOjg6dTseWyGSytrY2hfJJS3N2dq6trb137x5CqKysTCAQvPPOO0p+0w4Mqg3vaRYdHZ2elkMkFAqPHTuWlJQ0atSopqamioqK+Ph4+QROTk74fYUYqVTKYDC0tbWxwQL5X26k8+vLy8/PnzFjBp1Oxx4BkP+ITqd7eXmZmprKn5I6OjqKRCL5nzT482Kk0Q5mjY2Nw4YNw8/yzc3NsV9EQqFQoYbt7e2Dg4PT09Orq6sdHR3xRyfeNvb29iNHjiQOdCqQb8PYizhbWlpSUlK+/PLL169fU70K4NGjR2w229nZWX5ydC8vr8rKSnyoiGoEqo8BSyQSrCO4urqeOnWqp1F1SyQSyY+C4a1L9XbVi06H932qdk6137hx48atW7fmzp27Zs0a4hGT2Duoyu+7HtUPaQ2ryxRdPYXRK3xO91aZbAi/iPDx48fGxsZOTk6q9Ls+7if77wjS7XFQvUW5u7vfuXNHLdMj9KhzGRgYYDulESNGvHr1Ch8AwmOmqmGFLq/KXgUh9Ndff7m7uxsbG+fn5yspXEkhVFvXf7sUAAAAb4qBfoSwL8zMzLS0tG7evNnW1vb8+XPsfTRGRkbnz5/H0+zYsSMuLo74uBPu008/jY+P19bWxp8B5HA4cXFx586d++6778aMGYMlO3/+vKen56FDh7An6kmLGjNmTEpKSkZGxubNmw0MDLCFAQEBhw4dunDhwo4dO/CTfjMzs5iYmDNnzpw4cWLlypUMBkMd9dFfOByOh4dHenq6/JhFeXm5TCYLCAhgsVj+/v4SiUQgEJCmbGxsrKioCA4O1tPTc3JycnR0JP5EJC1NIBDY2Ni4uLgwGIxx48bZ29tXVlYO0DYTcDic3bt3a2trk4baiyyql0Nka2s7Z84cNpvNYDBcXFx0dHQaGhr4fD6bzfbx8WEymXhKPp+vpaX1wQcf6Ovr29raenp6dnR01NfXv/fee9g7yM3MzJSvSywWW1lZ0el0hNDDhw+trKw8PDyIHcrJyYnFYq1bty7sP4qKiry9vfl8vqmp6cyZM5lMpouLC/4rhTRaVWLQFGxsZf78+fr6+hwOJzg4GJvPnljDHA5HKBRi3+ZbOL0OnU7ncDg+Pj5r1qw5ffo01cANaRvGP62trT106NDHH39MNQOOSCTKzMwMCwtzd3fX19c3MTHx9/efN29eL27CVTFgeVevXp05c2ZbW1tFRYXao8K6hp+fH9ZlJk2ahC1XvV31pdNRtXPl+w2BQED6BDSxd1CV33c9qh/SGlaXVpks/vUrhZutbkrF8a9ftf73VAlDjFAozMrKWr169dSpU42MjIyMjHx8fNzc3EgT93E/2aMjCOnasaNzL/Kql7e39x9//KGWonrUuQIDA42MjDgcTkhICP6UsTzlNYx3eRW/iDt37owZM2bChAnYyUMvvj6qrVOy1YPhzAEAAMAAGOjDuVgsVjI5iL6+vpLJF6uqqiorK7ds2XLw4EElbypMTk6mmlX0f/7nf1xcXDZu3Ii/iYZOp2/dujUvLy8hIeHdd9/98ssv16xZgw3HzJw5c+PGjSYmJgkJCTdv3iReY5w7d258fLxYLF63bt0nn3yyd+9ehNDo0aO/+eab2traTZs2zZ8//8SJE3Q6fdu2bQUFBfv27TMyMoqMjFy0aBH+8r5ByNLSksPhHDp0CF+SmpqKvbcuLCwsKCjo6dOn2H03VCmPHj26cuXK5OTk6urqQ4cOEX8iymQyYmlVVVUnTpwICQnBLqmdOXPmyZMnA7LF5Gg0GnaVjxhqL7L0qBwF9fX1AQEBcXFxWlpaVVVVqamp2KMNXC53yZIlISEhbW1txcXFJ0+ebG9v37t375IlSxISEpqamk6ePIkQSktLW7FixZw5c3Jzc7GTPyVu3boVERGxZ8+eTZs2SaXSO3fuODo6Pnv2TCHZtGnTbty4IT/fx6+//hoTE3P69On9+/cvXbp0wYIF9+/fv337NjbHUEdHBzFaFWNQvaLUqLOzc+/evUuXLk1ISGhpablx4wY2+RGxhisrK93d3ePj458/f15YWKh8UvAhJjIyUiaTicViPp9/4MAB+fe7RUZG0jJDtAAAIABJREFU4n+vXr2aqg3jeDze2bNnIyIiEhISSHfvV65caWxsnDVrVmhoaGdnJ5/P/+67754+fdpPAcsPyjc0NJSWlhYWFvZHVFKp9MCBA0uWLFmwYMG9e/dyc3OxW6hKSkpUbFdSqbTXnY6qnSOy/Yazs/OqVat0dXVramqOHz9OjITYO5SU30c9qh/SGlaXe23k+6ghfO8VLjs7u7GxMSAgYNmyZS0tLXfv3r148SJpStW/L1I9OoKQwo7OPcqidtbW1jKZrKqqSi2l9ahzPXjwYMuWLXQ6/a+//rpy5QoxAWkNE7u8il9ER0dHaWkph8PBnrnuxddHtXVKtnownDkAAAAYALQBnnI4JCREJBJRPTw1d+5cfX19bC5wUrq6uosWLZozZ86NGzd++OEHkUhkZGR07Ngx/JG9HTt2/PLLL8QBrPPnzx86dGjRokXR0dHY/cbnz58PCwuzsLBYv3796tWrsWSHDx/esWOHQCA4f/78pk2bHj9+jBDatGnT3bt3L1++rFDgli1bsFEtKyurxMTExYsXyycICAhwd3ffuXOnk5PT+vXrP/30U+yGZycnp6ioqI8//rgn1UYJuzDe63m7DAwMlE8PAQaYVCrt3RXmfrJs2bKamppe/+b85JNPKisr1fWTVb0GW1UPWlBR6jIwNTmYO90bCroA1IBaLFmyRCAQkN4A1a+4XG5MTIzqzzUDAAAAfSSVSrHbkuTfHIK5e/cuQsjAwKDXIxgDfQdWfn5+aGjorVu3Xr9+rfARm812c3Mjva6La21tPXHiBPZy4l27dslfM+/WihUrMjIyFJ6WHz58+MiRI3/55Rd8iZmZGXaXOz5Zr1AoJD11w28TeP36tb6+PnbrzbRp03x8fGxsbMzNze/cuYOtorq6Gp9xoLa2ljjvLwCDkKOjo6urK9UVdeWYTOakSZMmTpwo/4QvAKD/DHynU7iT9OTJk/30jj8wNLDZ7M8++2znzp29LiEyMvLMmTM1NTVqjGpgMBgMV1fXCxcuaDoQAAAA4M020ANYlZWVBQUFoaGhhw4dkn/+SE9PLzQ09K+//lJl2qOmpqY9e/akpaU5ODjw+XwdHR0Gg4FNiqlkip9vv/12w4YNfD7/4cOH+MLGxsa///67RwNhOENDQ+wpGBsbm/r6eplM5uzs/Mknnxw4cKCysnLChAlTp05FCL18+dLS0hKfctLCwoL48iYABpvVq1fb2dkdO3ZMJBL1KGNUVNSoUaOwByX27duHv9QJANBPNNXpNPuKWPDGef36dV9GrxBCycnJ6gpmgLW3t0dHR2s6CgAAAOCNp4EpLa9cuWJiYrJixQp8Al0jI6MlS5a8fPnyt99+U5Jx7Nixrq6u//73v5ubmydMmKCrq/vixYv29vaampoPPvggKyvL19d32LBhVNmfPHny3XffffXVV19++SU+f3ZpaamZmdmcOXNycnLkB9RUsWzZstTUVB0dnZUrV169ehUhNHz48KampvLycm1t7RkzZmBjathr2j/66KOffvrJwMDg448/zs7OVihKW1v78OHD0dHRL1++jI+Pz8jIKCkpCQsLe/XqVe/ufwGgj+SnNuuRxMRE9UYCAFAOOh0AgEp4eLimQwAAAADURgNv6+jq6srIyKivr//8889dXV1dXV0///zz+vr6c+fOyc+bS1RTUzN69OjU1NQzZ84sWrRo586d2FN+KSkp/v7+aWlpI0aMUP465/z8/LNnz27fvh2fw7W9vT0uLs7X1zc9PR2bQlj1DSksLNy7d++ePXvKysqw28Lz8vJev3595MiRjRs3FhcXY8k6Ojq2bdtmb29/7NixnTt3FhQUXLp0iVganU7HXp4i/4fG5xwFAAAAAAAAAAAA0LiBnsRdnpOT00cffYQQSk9PLy0t1VQYbzSYxH2IgblyBwxUtYqgotQFavINBV8c1AAAAAAAVNevk7hr4A4sXFlZ2c6dO3fu3KmW0avk5OS+vBt7x44d1tbWfQ8DAAAAAAAAAAAAAKiXBubAkoeNzKlF7yZix3311VfqigQAAAAAAAAAAAAAqJEm78ACAAAAAAAAAAAAAKBbGr4DC2icVCrVdAjgv8A3MmCgqlUEFaUuUJNvKPjioAYAAAAAMBjAANbbDmZmHVRgrtwBA1WtIqgodYGafEPBFwc1AAAAAADV9et1L3iEEAAAAAAAAAAAAAAMajCABQAAAAAAAAAAAAAGNRjAAgAAAAAAAAAAAACDGgxgAQAAAAAAAAAAAIBBDQawAAAAAAAAAAAAAMCgBgNYAAAAAAAAAAAAAGBQgwEsAAAAAAAAAAAAADCoaWs6AAAAAAAAAAAAAAAwdNy9e1ftZcIdWAAAAAAAvTFBhzlFV4+4fIqu3gQd5sDHAwAAA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9TU9NtvvyGErl+/vnDhQisrK7FYTLrpa9euIYR8fHyUJrDa29sVV+PxeLt27YqKiurt7U1LS8MWlpaWOjg4KGUYEBBw48aNnp4ePIm5uTkxyK6uLtICVH0gMBwOh8lkFhYW9vf3NzU14b+scrncDRs22NnZNTU1JScnY7tsYGCwZs0aBwcHJpOZkpIiFAoPHDiAzwJERETk5OSUlJQkJSWlpqauXr06MzMzJycnKSkpKipq8+bN2JUv77333qNHjwoKCnJzcxFCbDY7Njb2s88+U/rx1tnZWSwWl5SUeHp64hNY5ubmGzZswA6BSCQyMDA4d+4cVbRJSUmnT58ODAw0MTHJy8u7dOkSfunce++999FHHylOFowyLpe7Zs0aPp/f09NTUFDw448/YrVRqYQLCws9PDz8/PxMTU2rqqpOnTqlVJcmNuyip8LCQrFYHBMTc/PmTdKmR1WHMbNnz/b394+NjSW9OgAhxGazg4KCTpw48eDBA2xJTk4OQmjt2rV79uzBV+vv7xeLxTk5OY6OjqQTWPQDxhQVFfn6+uITWGw229XVFf/SSzOqARFbASJrL4pNo6Ki4vfff8em0ffs2XPnzh1s04cOHfq///s/hBBp1VVq9XgA69atmzp1akJCAvG6GCsrq1WrVvF4PNLLN+i3EeK2jIyMiB0Cj8fbsGGDjY1NXV3dyF3INhKw6apPTUwRQnGvx+wVi8XatGnTxYsXsZMvQgj/XQchhM0Rczic3377LSUlBSFE2k+SVn5SKmqOirMGVeOiaiBRUVFKHbhSqxmwt6c/fFIxtKBKgq9AOpIhXah6AIMQsrKysrOzKysrU7EQH9709fURx2lTp06lOaIjXVNpICQQCG7duqV0Wyh+9BFZ1VJxQIlHn2qIglOqTt98841iBRjebSHqTk+t9kIsE0V/+tOfBAKBrq7unTt3sCSkmZP226pzppmEqtAUJSUlHTt2DDvdCIXCs2fP4qcb0gxJx5PEHPr7+3/55Rdvb+/hmtwEAGgCeAYWUMXW1hY7MVhaWtbU1OBDCrFYrPTQU3zNyZMns1isRYsWJSYm7t+/38PDg5gtaW5yuby4uHjx4sW6urre3t4VFRXEMxxpQh0dHfx2Iblc3tnZyePx1NpNQ0PDnTt3fvfdd9u3b1dMi//8yGQyzc3N3d3dFQfoCCEzMzM7OzvFmwcZDAZpkAMWoAoNDQ319fU7duxQjI3JZIaHh//xxx+RkZG3bt3asmULFu2OHTu6u7v37t377bff6urqqsjW3t5+9+7dit9j4+PjsfFNaGjonTt33nrrLWz5vHnzKioqiJMLCxYsKC4uLikpcXBw4HK5WFRhYWEVFRWffvppWlrau+++qzpahJCbm1tsbGxcXJynp6etra1iDGM4e8VgMMLDwxsaGnbv3h0bG2tra+vv7499RCxhCwuLkydPRkZGIoR8fHzGKuax1dzcXFVVNWvWLNJPSeswxtzcfOPGjUlJSSp+IJ05c2ZXVxc+T4TJz883MzPDKp4ibW3tV69eDTFgTEFBgbm5ubm5OfbvokWLioqK8MzViko1pVZA2l4Um8b9+/f5fD5CyNjY2MTEZPbs2QghMzOzzs7Oly9fUlVdRNbqBQLBzJkzjxw5QnpXl7e395EjR6KiophMZlBQkOJHarURpW319/cTdxDb68ePH0dGRl6+fNnV1VWtMgSjzM7OjsFg4LNXStzd3ePi4r755htXV1eslVH1k0qVnzQ31TVH9VlDKX8V9ZaKYquh39vTGT5RDS2GMmAgotoKQkhHR2fjxo0XLlxQvOeadCFCiMFgkI7T6I/o6OyXg4OD0j2ASn2UUtVSfUCJXSvpEEURsTrhFWDYt6Wi01OrvRCbG87a2nrhwoVfffVVeHg4PuFFmjlpv60iZ5pJ6Lc4/HTDYDCCg4Px5UoZqhhPkuZQVlY2Z84c0i0CAMYpmMAClOzs7FasWHH58mWEkJ6enuK4UCrKNA4nAAAgAElEQVSVKj6EVXFNHo/H5XLb29sjIyPPnTu3Zs0ac3NzQ0PDk//l4eFBlVtmZubSpUuTkpJWr16dkZGBEKKTUCQSWVtbv/3227q6um5ubtOmTdPS0lJrTxMSEsLCwvbu3SuVSrdu3YoQev78+a5du7AZtHnz5h0/fjwmJqampubRo0eKCX19fbOzs7FBHp6ENEjVBaiaXC6Pi4t7+vRpdHR0SEiInp4eQsjGxobFYmVmZspkMuwrxNSpU2fMmMHlclNSUtrb28ViMXG0quiXX36RSikf0VJSUjJjxgwDAwOEkIuLC/H+Sh6Px+fzS0tLOzo6RCIR9lOztbU1FpVEIqmqqrpz5w62Mmm02Ec3btzAoi0vL8efQzTmbG1tdXR0MjIyurq6mpub8dEnaQlfunRJLBZLJJJ79+69zm+zevnyJVY5EUIRERFYs8VmPUjrMGbp0qVCoVDFBZsIIRMTkxcvXigtlMlkMpkMq6IYbW3tmTNn+vj45OfnK3Ud6gaM6evry87O9vX1RQhpaWl5eXkpPkqDZlR0KLUCFe0F8/DhQ2zSas6cObm5udbW1gwGY9asWeXl5VRVF6PU6t98800fH5+EhASqruDGjRvPnj3r6Oi4cuWKs7Oz4kdqtRGlbZHuoLW1tZaWVmZmplQqraqqUnryjobDnnsV19YS19byiYmp0jPdJyRTU9Pm5maqT2/cuNHW1lZbW1teXj5t2jRE3U8OeAoYsOaojlMpf9UNhJRiq6HZ29MZPqkYWgxlwKBExVYQQuvXr8/Pz1e6XY64UHFERByn0R/RDbhfLBaLxWIprkPso5SqluoDqnT0qYYoquEVYNi3paLTU6u9EJsbrr+/X09Pz8TERHEhMXOqfltFzjST0G9xiqcbJycnxeWKGaoeTxJzaGlpUfcnJQCAhoNbCAE5gUDg4uLy7bffPn/+HCEkkUgUf0jX09Pr6OggXbOvr6+zs/P69esIIaFQ+PDhQz6fn5OTExoaiid3d3cn5sbhcCIiIk6cOCEUCm1tbbdv337w4MHnz58PmLC1tfXkyZPBwcGbN28uKSmpra1V91537Ge91tbW5ORk7I0nivcFlJSUbNmyhcvl+vn5bdu2Db/rns1mv/3227t371bKjbSsmEwmVQHS0d3dffXq1Zs3bwYHB0dGRu7bt2/SpElmZmYnT57E1+FwOIaGhvX19TSfp97S0qLi01evXpWVlc2dO/f+/fuWlpZKl5kghNzd3UUiEbYXxcXFS5YsycrK4vF4DQ0N+O+rnZ2d2LCJNFpszgIPo6urS/UlY6Np0qRJTU1N+I40NzdjOzJlyhRiCbu4uLi6uk6dOtXU1JTmbaET0uTJk4VCIfY38ZFSxDqMtbu0tLSAgABvb2/Fy4KUSCQS4tvB2Gw2m83Gm2pERERfX19TU1N6ejpWXRW7jkEEjMnNzf3666+NjY0dHBxqamqwXo5+VDQptQIV7QXT3Nzc29s7ZcqUOXPmZGVl2draWlhYzJ49+86dO1RVV2lDmMDAwKysrJcvX1IF9uzZM+yPjo4OfX197BIMbIlabURpW6Q7aGRkhL8GBCsKDoejqtQ0Bv7UdvzOQcVnuk9UUqlUxddCfG5XIpHo6Ogg6n5ywFPAgDVH9fQ3sXGpaCCqc1CxF4poDp+ohhYqkgyCiq0sWbJER0dH6fnWpAtxpOM00mjpr6mYv9IMFyLro5SqFs0eDzv6VEMU1fBMhn1bPB6PqtNTq70QmxuupqYmPT19x44djY2NKSkp2OaImVP12ypyppmEfoujOt0QM6TqBKhy6O7u1tHR6e7uJt0uAGDcgQksQCIgIMDIyCg2NhY/MzU3Nyv+NGphYYFNURHXfPbsmY6ODpPJxJbI5XLiOYM0NwcHh8bGRuyZC5WVlWKx+M0331T6TksVRllZGZbQwMBg7969NTU1g9txbW1tBoNBDFgul7e0tFy7di0uLg7fNWdn56qqKuKNdaRB6ujokEaulo6OjjNnzsTFxU2fPr2tra26unrfvn2KK9jb20+ePFlxiUwmY7FY2tra2GSB4hdC0ufrK7p3796iRYuYTGZRUZHSGIXJZHp4eJiamiqOIfh8fldXl+JXGvx+MdJoNVlra+uUKVPw0c/kyZOxIVRHR4dSCdvZ2QUFBaWkpNTX1/P5fPy+y9eNnZ3dtGnTiBOdShTrMPb+qc7OzsTExL/+9a8vX76kehXAo0ePOByOg4OD4kOXPTw8ampq8KkiqhmoIQYslUqxhuDs7HzhwgV1oxocOu3l4cOH9vb25ubmtbW1lZWVfD5/xowZZ86csbGxIa26GKVW//3332/evLmmpubx48ekW8GfDzh16tQXL14oPpiGfhshbot0B+fMmaM4IUiaiQZ6R1dPafYKf6b7K7l8Ar+I8PHjxyYmJvb29nTa3VD6yQFrjlqo6q0KeKuhsxf0h0+IYmihOskgUG1l6dKlxsbGLi4u2L/u7u7m5ubz588nLsRvPSMdp9XW1tIc0ZGuqRiqVCpls9mKSwbso9Q6oFRDFNXwCjDs2+rq6iLt9IZ3XHH79u28vDx/f/+tW7fGxMSQZk7Vb6tAMwn9QlNxulGkohOgykFXVxdmrwCYSOAWQqCMx+O5urqmpKQozllUVVXJ5XJfX199fX0fHx+pVCoWi0nXbG1tra6uDgoK0tPTs7e35/P5xK+IpLmJxWIrKytHR0cWizV79mw7OzviPBRpQuwjBoNhZmYWFhaWnZ1N8+1+uPXr13O5XGNj4/Xr1z98+FAmk/F4vIMHD2pra0+fPt3Pz8/Y2NjAwGDZsmWPHz/Gd3bevHmKT2rAk5AGqSLyAVlbWy9btozD4bBYLEdHRx0dnZaWFpFIxOFwvLy8FEd7IpFIS0vrz3/+s4GBgbW1tZubW29vb3Nz85IlS9hstpeX16RJk1RvSyKRWFhYMJlMhFB5ebmFhYWrqyvx/kF7e3t9ff2dO3eG/ldRUdGCBQtEIpGpqenixYvZbLajo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paUzx0CYUCARNTU2//fYbQuiHH35YsGCBvb29XC6n3fS5c+cQQlKplDyBRZwpXrt2zcXFBSEkFou3bNkSGxtrbW1N3WJvby91YUtLy3CTUC+Ymbz22mu+vr76+vqXL1/G82tGRkarVq1ycXHh8/kZGRn4FByfSopEot9++y0jIwMhZG5uvm7dOkdHx6ampvT0dFwsYrF43bp106dPv3//PnG3iLGx8c6dO4lz1ujo6Ly8vLKyMiIG2qwmMHNz81WrVjk5OT169Ki4uPif//wnro3Ukvfy8vL397ewsKipqTl48GBXV9dox/704G/1r169KpfL4+PjL168SFsxRCIRn8+/evXq4OBgU1MTcfMjNmvWrICAgMTERI2bHwlCoTA4OPibb775448/8JK8vDyE0OrVqz/++GNitcHBQblcnpeX5+rqSjuBxT1grKSkxM/Pj5jAEgqF7u7uxOQUx6iGlJaW9vXXX69YsUIsFstksiNHjuByoNYr4sbSN998889//jOia/IaaKsxbWP38fEhZ75w4UKNPictLS02Nrarq4u2A0HcughqV0bbfNLS0r799tugoCAzM7PCwkK8JtN2EUL29va4AMl30dLuu1QqffHFF/GF+vr161tbW/HNgI8JT1f91cwCIZT0bMxe6enprV+//sSJE3jwRQgVFhYSn1JrJvcDTYYPukQiqa+vv3XrFrGce/88ZMDEcF9QULB69WqO8xrUmkxb/9PS0jIzM1euXJmTk5OXl6eRinaLOTk5b775ZnFx8Z07dzQ2ylSGx44dCwwMNDAwOHHiRE9Pz1tvvSUUCi9cuPC///u/RFra7pFLf8hULLRpOR4XmUxGe74x5L4wFbJGLdLoKjV6M+oeMXXCWhxTxFw5aWs7l/MH9l5LI4An1MUBAMDYAe/AAmwcHBzwgG1nZ1dXV6dWq/FyuVxuZWVFu6alpaWent7ChQtTU1N37Njh5eVFzZY2N7VaXVpaumjRIn19fR8fn8rKSuoNSrQJBQIBce+6Wq3u6ekRi8XD3VM+n29tbe3p6Uk+BefxeLRbZCkNLZIMSSKRLFiw4NNPP42KiiLO7yMjI/v6+rZv375nzx59fX280NPTMykp6fPPP3d3d585cyafz4+Kirp9+3ZMTMylS5c2btzI4/Hwwlu3bsXExJw6dcrd3Z1j+VCz4hj/eMTj8aKiohoaGrZu3ZqYmOjg4BAQEIA/opa8ra3tgQMHYmJiEEJSqXQ04x49zc3NNTU1M2fOpP20oaGhvr4+MjKS2jatra3DwsLS0tLa29uZMp8xY0Zvby8xT4QVFRVZWVmZm5trrKyrq/vw4cPHDBgrLi62tra2trbG/y5cuLCkpITIfFhRsfPx8dm7d29sbCyPxwsJCcELqfUqOTkZX6KEh4fjG8E0mrxGtizVmIqc+XPPPUftczCmDoRLF0HblTE1Hw8Pj8TExKSkpPnz5zs4OLB3XEQB8vn84OBgln3Pzc01MzNzdna2s7NzcHAgX+GDYXF0dOTxeMRkkAZqzeR4oMmZEAd9y5Ytp06deuWVV/DyYfXPHAPm8Xh1dXUCgYBo7yyoNZml/js7O2/dujUvL4+ainaLnZ2dp0+fXr9+vY6OjsZ2mcrQ1dX1008/zcjIWLt2rZ+fX0JCQlpa2vLly6nvSGLqHln6wyGLhUir3XHRwLIvLIWsUYvYezPaPaJ2wtodU/Zel1rbuZw/sPRa1ACgiwMATHgwgQUYOTo6Llu27NSpUwghAwMD8oMzSqWS/BJW8ppisdjc3LyrqysmJubo0aOrVq2ytrY2NjY+8B9eXl5MueXk5CxZsiQtLW3lypXZ2dkIIS4Jq6urJRLJSy+9pK+v7+HhYWNjQz3tYzd37tz9+/fHx8fX1dXdvHkTIdTa2rply5ZHjx7RbpF2oRZJOIY3ODhoYGBgZmZGLJk2bZq5uXlGRkZXV5dcLicm3c6fP9/Z2Xn37t2KigobG5vp06fr6enl5OSoVCp81j5lyhSJRKKjo5OTk6NUKmtqagoKCrjEQJsVx/jHIwcHB4FAkJ2d3dvb29zcnJWVha+daEv+5MmTcrlcoVBcuXKF+7zkxNPR0WFg8H8/xxYdHY2bLZ5NUKvVSUlJ9+7di4uLCw0NJVZDCC1ZskQmk7HcsIkQMjMze/DggcZClUqlUqmMjIyIJbq6ujNmzJBKpUVFRRpdx3ADxgYGBnJzc/38/BBCOjo63t7ely5dGm5UXJw/f76lpaW7u/v06dOzZ8/GC7nUK40mr/EpUzUeErXPITB1IFy6CNpsmXbz/PnzuJVVVFTY2dmxd1zkApwzZw7Lvg8ODn733XdvvPHGypUrMzMzR+o5bvzeq6TOtqTOtg/MLDTe6T4hWVhYEC+HoqLWTI4HmpwJ00EfVv88ZMDE2I0QKigoYOouyKg1maX+//zzz0qlkjYV0xYLCws7Ojpee+01jeVMZXjx4kWFQlFcXNzX1/fTTz91dXVVV1c3NjaS1yF3j7Q7Re4PNQxZLDitdsdFA8u+sBQySy3iWOzUTli7Y8re61Lj5NLPs/Ra1ACeUBcHAABjBzxCCOj5+vq6ubnt2bOntbUVIaRQKMhfmhkYGHR3d9OuOTAw0NPT88MPPyCEZDLZjRs3nJyc8vLywsPDieSenp7U3EQiUXR09DfffCOTyRwcHN5///1du3a1trYOmbC9vf3AgQMhISEbNmwoKyu7e/cuy60ctMrKyjZu3Ghubu7v7//ee++lpKQQH9HuOJ/PZyoN7ZKwq6urO3PmTGRkZGNjY0ZGRlNT0+TJk+vr66nvTCUupxUKhUAgmDRpkpWV1YEDB4gVRCKRiYkJ8a59hFBvb69IJBoyBtqs2CcdxrVJkyY1NTURd8w1NzfjE0Takndzc3N3d58yZYqFhQX3x0InHktLS5lMhv+mvlKqr6/v7NmzFy9eDAkJiYmJSUhIwC9yzsrKCgwM9PHxwc/f0VIoFNTfvxMKhUKhkHjgIjo6emBgoKmp6cyZM/iuKHLXoUXAWH5+/meffWZqauri4lJXV4d7Oe5RcdTS0oL/6O7uNjQ05PF4arWaS73SaPIanzJV4yFR+xziI7FYTNuBcOkiaLNl2s22tjZiE/r6+kzbxagFyLLvMplMrVYLhcKRaq3EW9uJJwfJ73SfqJRKJcudhtSayfFAkzNhqWzc+2eOAWNXrlzZtm3b2bNn8es7+/v7yV816erq9vX1IbqazFL/iR2krf8aWySkp6fHxcWVlJSQFzKVIfHi/IcPHxLnP0qlkugTqN0jFbk/ZC8WprTaHRcNLPtiZGQ0ZCFTaxHHYqftQ7Q4puy9LjVOjucPTL0W7d6NeBcHAABjCkxgARqBgYEmJiaJiYnECUdzczP5Sy1bW1s8RUVds6WlRSAQ8Pl8vEStVuMTPjLa3FxcXBobG8vLyxFCVVVVcrn8hRde0LimZQqjvLwcJzQyMtq+fXtdXd1wd1mtVre1tZ07dy4pKYkInmmLAoGANgytkwypoKCgsLAwICBg06ZN8fHx3d3dlpaWQ6bq7Oysra1NSEggL3z++efJV91EPiqVSk9PT1dXF08raMxq0WY1gbW3t0+ePBnPIyCELC0t8fUYteQdHR2Dg4MzMjLq6+udnJzmzZs3OhGPNkdHRxsbG6ZLI0J3d/ehQ4eSkpKmTp2Kf4izp6cnNTX1ww8/7OjoIL9zjezmzZsikcjFxYX8cnQvL6+6ujpiqohpBuoxA1YqlVeuXFm4cOGcOXOOHz8+3Kg4MjY2xkmmTJny4MEDtVo9IvWKqRqzN3ZMo88hlvf29tJ2IBy7CI1sue8m03YxagEy7TtCyNHRkc/n6+npTZ8+/fbt2+wBD+lP+gYas1fEO90fqtUT+IcIb926hZ9U4tLutKvPTAede/883IAVCsWtW7dmz55dWlqKEHrw4IGNjQ0xD2tlZUVMc2jUZJb6T570oTYrjS0S2trasrOzw8LCqqur8W4+Tp8wZPfI3h8yBamR1srKiuNx4dIFUWl9HsKl2Kl9iHbHlKXnoeJ+TFl6LerejWwXBwAAYw08Qgg0icVid3f3jIwM8tdlNTU1arXaz8/P0NBQKpUqlUq5XE67Znt7e21tbXBwsIGBgbOzs5OTE/WUiDY3uVxub2/v6uqqp6c3a9YsR0dH6jwUbUL8EY/Hs7KyioiIyM3NHdYt01OnTvX39zc1NTUyMlq6dOmtW7cGBwfFYvGuXbt0dXVpt8hUGsNNMrwDg5BcLsffBldXV+vo6LzxxhtGRkYSiYR4fb6G6upqkUjk7e0tFAo1Fvr6+gqFQldX17lz5+Ll/f39zc3NixcvFgqF3t7ekyZNGjKrCQzPrSxfvtzIyEgsFgcHB+fn5yO6kheLxd3d3fhocnyh2ETC5/PFYrG3t/emTZsyMzOZJm4kEsnSpUtFIpGenp6rq6tAICC+iEYINTY27t+//+2339Z4Aw6ht7c3Ozs7PDz85ZdfNjIyMjc3l0qly5YtO3HixBMKmOzixYuLFi3q6+urra19QlEFBgaampqKxeKQkBD8amGmeqVQKGxtbfl8TmM3UzVmauzUzIk+h8DUgQyriyCy5d58mLaLUQuQad91dXXXrVt38uTJs2fPhoaGcixJFg/V6oSOBxo3W11WKRI6Hjz8z10YE1J3d3dOTk5ERISnp6epqampqam3t7ebmxvtytr1k0wHnXv/zCVgYuzGq12+fHn+/Pn4799///2NN96QSCQCgQC/zEjjXebkQVmL+k/dItnPP/88MDDw0ksv4X+fxFjDvT+kBklNy/24sJ9vMBlWIQ/Zm2nsEbUP0e6YMhUCLfZjStRMLr0WEcCId3EAADDWwB1YQJO1tbVYLN6/fz+xZO/evfjXYcLDw4OCgu7cuYPvqWZa8+DBgxs2bEhOTq6vr9+/fz/1lEitVlNzu3fv3tGjR0NCQvAXVt999x31iyPahAihmJgYiUTS09OTn58/3N/Y7ujocHFxCQgIePToUUV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alt="Monitoring ▸ Nhật ký hành động"></div>
+
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="ttl">Monitoring</div><div class="r tb"><div class="tab">Tổng quan</div><div class="tab">Bảo mật</div><div class="tab">MCP</div><div class="tab on">Hành động</div><div class="tab">Agent</div><div class="tab">Agents Admin</div><div class="tab">Công cụ</div><div class="tab">Icon</div></div><div class="c grow"><div class="r tb"><div class="ttl">Nhật ký hành động</div><div class="grow"></div><div class="btn">⭳ Xuất CSV</div><div class="btn pri">⟳ Làm mới</div></div><div class="r"><div class="kpi2"><div class="ic blue">▤</div><div><b>25</b><span class="s">Tổng sự kiện · +6.2%</span></div></div><div class="kpi2"><div class="ic grn">✓</div><div><b>19</b><span class="s">Thành công · 76%</span></div></div><div class="kpi2"><div class="ic red">✕</div><div><b>6</b><span class="s">Thất bại · 24%</span></div></div><div class="kpi2"><div class="ic pur">🛡</div><div><b>4</b><span class="s">Chặn bảo mật</span></div></div></div><div class="r tb"><div class="srchwrap grow"><input class="inp" placeholder="🔍 Tìm hành động, agent, chi tiết…"><span class="pill teal aibtn">✨ AI</span></div><select class="btn"><option value="">Tất cả loại</option><option>Công cụ</option><option>Gọi MCP</option><option>Chặn bảo mật</option><option>Quyền</option></select><select class="btn"><option value="">Tất cả trạng thái</option><option>Thành công</option><option>Thất bại</option></select><select class="btn"><option value="">Tất cả thời gian</option><option>Hôm nay</option><option>Tuần này</option><option>Tháng này</option></select><div class="btn">✕ Xóa lọc</div></div><div class="tblwrap grow"><table class="evtbl"><thead><tr><th>Thời gian</th><th>Agent</th><th>Loại</th><th>Máy</th><th>Hành động</th><th>Kết quả</th><th>Chi tiết</th></tr></thead><tbody><tr><td>15/08 · 09:42</td><td><span class="av blue">CA</span>Cowork Agent</td><td><span class="pill teal">Gọi MCP</span></td><td>DESKTOP-DEMO</td><td>ms365__send_mail</td><td><span class="pill grn">✓ Thành công</span></td><td class="dt">Đã gửi email đến nam.pdt@company.com — chủ đề "Báo cáo tuần Q3".</td></tr><tr><td>15/08 · 09:38</td><td><span class="av blue">CA</span>Cowork Agent</td><td><span class="pill blue">Công cụ</span></td><td>DESKTOP-DEMO</td><td>read_file</td><td><span class="pill grn">✓ Thành công</span></td><td class="dt">Đã đọc ./docs/installation.md (172 dòng).</td></tr><tr><td>15/08 · 09:31</td><td><span class="av red">SA</span>Security Agent</td><td><span class="pill pur">Chặn bảo mật</span></td><td>DESKTOP-DEMO</td><td>dangerous_command</td><td><span class="pill red">✕ Thất bại</span></td><td class="dt">Chặn lệnh: rm -rf / --no-preserve-root</td></tr><tr><td>15/08 · 09:20</td><td><span class="av blue">CA</span>Cowork Agent</td><td><span class="pill gry">Quyền</span></td><td>DESKTOP-DEMO</td><td>path_outside_sandbox</td><td><span class="pill red">✕ Thất bại</span></td><td class="dt">Chặn đọc C:\Users\NamPDT\Documents\personal.xlsx — ngoài sandbox.</td></tr><tr><td>15/08 · 08:55</td><td><span class="av red">SA</span>Security Agent</td><td><span class="pill teal">Gọi MCP</span></td><td>DESKTOP-DEMO</td><td>brave__web_search</td><td><span class="pill grn">✓ Thành công</span></td><td class="dt">Trả về 8 kết quả cho "CVE-2026-1234".</td></tr><tr><td>14/08 · 17:45</td><td><span class="av amb">SC</span>schedule</td><td><span class="pill blue">Công cụ</span></td><td>DESKTOP-DEMO</td><td>run_command</td><td><span class="pill grn">✓ Thành công</span></td><td class="dt">python scripts/report.py — thoát mã 0.</td></tr></tbody></table></div><div class="r tb"><div class="s">Hiển thị 1-25 của 25 sự kiện</div><div class="grow"></div><div class="btn">‹</div><div class="btn pri">1</div><div class="btn">›</div></div></div></div></div>
+
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Bảng thật (<code>ui/monitoring_tab.py:_EventTable</code>) gộp cả 4 loại sự kiện (tool_call/mcp_call/security_block/permission) vào tab này nhưng không có cột phân loại — phải tự suy ra loại hành động từ cột "Tên".</li><li>Bộ lọc thật (<code>_wrap_with_filter</code>) chỉ có 1 ô tìm + nút ✨AI; 3 dropdown Loại/Trạng thái/Thời gian, 4 thẻ KPI, phân trang và nút Xuất CSV trong <code>12.ui-redesign-action-logs.html</code> đều là <b>tính năng mới</b>, chưa có trong code.</li><li>Bảng thật giới hạn ngầm <code>_MAX_ROWS</code> dòng mới nhất và không phân trang — không biết còn bao nhiêu sự kiện bị ẩn.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Thêm cột <b>Loại</b> dạng pill màu (Công cụ/Gọi MCP/Chặn bảo mật/Quyền) trước cột Hành động, tái dùng đúng bảng màu <code>.pill</code> đã áp cho Sự kiện bảo mật (mục 10).</li><li><span class="bad">Vượt phạm vi "chỉ sắp xếp lại"</span>: 4 thẻ KPI, 3 dropdown lọc, phân trang và nút Xuất CSV cần bổ sung logic đếm/lọc/phân trang/export ở <code>ui/monitoring_tab.py</code> trước khi hiện thực — hiện bảng thật chỉ lọc bằng 1 ô tìm text.</li></ul></div>
+</div></div></section><section class="sec" id="monitoring-trạng-thái-agent">
+<div class="hd"><b>13. Monitoring ▸ Trạng thái Agent</b><span class="tag">ui/monitoring_tab.py:132</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Agent nào đang bật và nguồn định nghĩa.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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alt="Monitoring ▸ Trạng thái Agent"></div>
+
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="ttl">Monitoring</div><div class="r tb"><div class="tab">Tổng quan</div><div class="tab">Bảo mật</div><div class="tab">MCP</div><div class="tab">Hành động</div><div class="tab on">Agent</div><div class="tab">Agents Admin</div><div class="tab">Công cụ</div><div class="tab">Icon</div></div><div class="c grow"><div class="r tb"><div class="ttl">Trạng thái Agent</div><div class="grow"></div><div class="btn">⟳ Làm mới</div></div><div class="tblwrap grow"><table class="evtbl"><thead><tr><th>Agent</th><th>Trạng thái</th><th>Nguồn</th></tr></thead><tbody><tr><td><span class="ic blue" style="display:inline-flex;vertical-align:middle;margin-right:6px">👤</span>Cowork Agent</td><td><span class="pill gry">● Rảnh</span></td><td class="dt">Lượt đang chạy của tab Cowork</td></tr><tr><td><span class="ic amb" style="display:inline-flex;vertical-align:middle;margin-right:6px">⏱</span>Task Agent</td><td><span class="pill gry">● Rảnh</span></td><td class="dt">Task đang chạy trong Schedule Task</td></tr><tr><td><span class="ic pur" style="display:inline-flex;vertical-align:middle;margin-right:6px">◈</span>Knowledge Agent</td><td><span class="pill gry">● Rảnh</span></td><td class="dt">Ô hỏi của GraphRAG</td></tr><tr><td><span class="ic gry" style="display:inline-flex;vertical-align:middle;margin-right:6px">▦</span>Planner Agent</td><td><span class="pill gry">—</span></td><td class="dt">Một giai đoạn trong lượt Cowork/Task đang chạy (update_plan) — không theo dõi riêng</td></tr><tr><td><span class="ic gry" style="display:inline-flex;vertical-align:middle;margin-right:6px">⬡</span>Reasoning Agent</td><td><span class="pill gry">—</span></td><td class="dt">Luồng suy luận (reasoning) của model trong lượt đang chạy — không theo dõi riêng</td></tr><tr><td><span class="ic red" style="display:inline-flex;vertical-align:middle;margin-right:6px">🛡</span>Security Agent</td><td><span class="pill grn">● Bật</span></td><td class="dt">Kiểm duyệt prompt/đính kèm/lệnh của Agent Security — chạy inline trong lượt đang chạy</td></tr></tbody></table></div></div></div></div>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Bảng thật 3 cột (Agent · Đang chạy · Nguồn, <code>ui/monitoring_tab.py:_refresh_agent_status</code>) chỉ dùng chữ/icon đơn cho trạng thái — khó quét nhanh dòng nào đang chạy khi bảng dài.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Giữ nguyên 3 cột <b>Agent · Trạng thái · Nguồn</b> (không chuyển sang lưới thẻ, không thêm cột mới) — chỉ thêm icon màu theo loại agent trước tên và badge màu cho Trạng thái (xanh khi đang chạy/bật, xám khi "—") thay cho chữ thuần.</li></ul></div>
+</div></div></section><section class="sec" id="monitoring-agents-admin">
+<div class="hd"><b>14. Monitoring ▸ Agents Admin</b><span class="tag">ui/monitoring_tab.py:132</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Quản trị agent hệ thống. Cũng là nơi chọn model cho robot trợ giúp.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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" alt="Monitoring ▸ Agents Admin"></div>
+<p class="rg"><b>Nút Kiểm tra</b>: probe provider thật</p>
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="ttl">Monitoring</div><div class="r tb"><div class="tab">Tổng quan</div><div class="tab">Bảo mật</div><div class="tab">MCP</div><div class="tab">Hành động</div><div class="tab">Agent</div><div class="tab on">Agents Admin</div><div class="tab">Công cụ</div><div class="tab">Icon</div></div><div class="c grow"><div class="r tb"><div class="ttl">Agents Admin</div><div class="grow"></div><div class="btn">⟳ Làm mới</div><div class="btn pri">+ Thêm</div></div><div class="s">Agent quản lý hệ thống, dùng chung mọi máy (lưu trong thư mục dùng chung): agent trợ giúp và agent chạy Schedule Task. Đây <b>KHÔNG</b> phải agent để chọn trong Cowork hay Co4E.</div><div class="tblwrap grow"><table class="evtbl"><thead><tr><th>Tên</th><th>Vai trò</th><th>Model</th><th>Kích hoạt</th><th>Trạng thái</th><th>Cập nhật</th><th></th></tr></thead><tbody><tr><td><span class="av red">SA</span>Security Agent</td><td><span class="pill red">Bảo mật</span></td><td class="dt">Ollama — qwen2.5:7b</td><td><span class="tsw on"><i></i></span></td><td><span class="pill grn">OK</span></td><td class="dt">11/08 09:30</td><td>✎&nbsp;🗑</td></tr><tr><td><span class="av pur">GA</span>GraphRAG Agent</td><td><span class="pill pur">Tri thức</span></td><td class="dt">Ollama — qwen2.5:14b</td><td><span class="tsw on"><i></i></span></td><td><span class="pill grn">OK</span></td><td class="dt">10/08 14:22</td><td>✎&nbsp;🗑</td></tr><tr><td><span class="av amb">MA</span>Monitor Agent</td><td><span class="pill amb">Giám sát</span></td><td class="dt">Mặc định — qwen2.5:7b</td><td><span class="tsw on"><i></i></span></td><td><span class="pill amb">Kiểm tra…</span></td><td class="dt">09/08 11:05</td><td>✎&nbsp;🗑</td></tr><tr><td><span class="av teal">HA</span>Help Assistant</td><td><span class="pill teal">Hỗ trợ</span></td><td class="dt">Mặc định — qwen2.5:7b</td><td><span class="tsw"><i></i></span></td><td><span class="pill gry">Chưa kiểm tra</span></td><td class="dt">08/08 16:40</td><td>✎&nbsp;🗑</td></tr></tbody></table></div></div></div></div>
+<details class="ctl"><summary>Kiểm kê control — <b>11</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>agent.name if agent else </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\agents_admin_tab.py:55</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>agent.prompt if agent else </td><td class="mut">ô nhập nhiều dòng</td><td><code>—</code></td><td class="mut">ui\agents_admin_tab.py:65</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._refresh_model_combo</code></td><td class="mut">ui\agents_admin_tab.py:70</td><td class="mv">→ menu tài khoản ở đáy sidebar</td></tr><tr><td>Lấy danh sách model thực tế của provider này để chọn từ drop</td><td class="mut">nút</td><td><code>self._load_live_models</code></td><td class="mut">ui\agents_admin_tab.py:89</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Kích hoạt</td><td class="mut">ô tick</td><td><code>—</code></td><td class="mut">ui\agents_admin_tab.py:98</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>QDialogButtonBox.Save | QDialogButtonBox.Cancel</td><td class="mut">nút hộp thoại</td><td><code>—</code></td><td class="mut">ui\agents_admin_tab.py:101</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>0</td><td class="mut">bảng</td><td><code>—</code></td><td class="mut">ui\agents_admin_tab.py:169</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thêm</td><td class="mut">nút</td><td><code>self._add</code></td><td class="mut">ui\agents_admin_tab.py:178</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Sửa</td><td class="mut">nút</td><td><code>self._edit</code></td><td class="mut">ui\agents_admin_tab.py:182</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xóa</td><td class="mut">nút</td><td><code>self._delete</code></td><td class="mut">ui\agents_admin_tab.py:185</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Kiểm tra</td><td class="mut">nút</td><td><code>self._check_all</code></td><td class="mut">ui\agents_admin_tab.py:188</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Cột Vai trò/Kích hoạt/Trạng thái chỉ là chữ hoặc icon đơn — khó phân biệt nhanh giữa các dòng khi bảng dài.</li><li>Bỏ [Kiểm tra tất cả] khỏi thanh công cụ chính làm mất lối vào hành động thật (<code>_check_all</code> trong <code>ui/agents_admin_tab.py</code>) — cần chỗ khác để gọi (icon riêng theo dòng, hoặc menu ⋯).</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Vai trò/Trạng thái chuyển sang badge màu + avatar viết tắt tên trước Tên agent; nút Sửa/Xoá dời vào từng dòng thay vì thanh công cụ rời bên dưới.</li><li>Thanh công cụ chính chỉ còn 2 nút: <b>Làm mới</b> (giống nút <code>monitoring.refresh</code> toàn màn hình) và <b>+ Thêm</b> (giống nút <code>agents_admin.add_btn</code> thật) — Sửa/Xoá đã dời vào từng dòng nên không cần ở đây nữa.</li></ul></div>
+</div></div></section><section class="sec" id="monitoring-công-cụ">
+<div class="hd"><b>15. Monitoring ▸ Công cụ</b><span class="tag">ui/monitoring_tab.py:132</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Bật/tắt công cụ dựng sẵn và khai báo kết nối ngoài. Màn <b>duy nhất</b> còn hiện dải tab bên trong.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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g3ggV+QNIquPeSVSXZbvnNgAUAAADAaQsXQgAAAACYa01B6N5eHWweAAAAAElFTkSuQmCC" alt="Monitoring ▸ Công cụ"></div>
+<p class="rg"><b>Tool</b>: công cụ dựng sẵn + tự kiểm tra Internet · <b>Connector</b>: MCP · REST · MS365 · Jira</p>
+<div class="cap">Đề xuất — bố cục mới</div><div class="cap" style="margin:0 0 3px">Tab Tool</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="ttl">Monitoring</div><div class="r tb"><div class="tab">Tổng quan</div><div class="tab">Bảo mật</div><div class="tab">MCP</div><div class="tab">Hành động</div><div class="tab">Agent</div><div class="tab">Agents Admin</div><div class="tab on">Công cụ</div><div class="tab">Icon</div></div><div class="r tb"><div class="tab on">Tool</div><div class="tab">Connector</div><div class="grow"></div></div><div class="c grow pane"><div class="r wrap"><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic blue">📄</div><b>read_file</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Đọc nội dung file text trong thư mục làm việc</span></div><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic blue">📁</div><b>list_dir</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Liệt kê file/thư mục con tại một đường dẫn</span></div><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic blue">✎</div><b>write_file</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Tạo file mới hoặc ghi đè toàn bộ file</span></div><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic blue">✏</div><b>edit_file</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Sửa một đoạn chính xác trong file có sẵn</span></div><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic grn">▤</div><b>run_command</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Chạy lệnh shell trong thư mục làm việc</span></div><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic pur">⭳</div><b>install_package</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Cài package Python (pip) vào môi trường app</span></div><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic amb">⤓</div><b>fetch_url</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Lấy nội dung trang web/tài liệu theo URL</span><div class="r tb" style="margin-top:3px"><div class="btn" id="fu-test">🌐 Kiểm tra Internet</div><span class="s" id="fu-status" style="color:var(--ok);margin-left:6px">✓ Kết nối OK · 42ms</span></div></div><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic pur">🔍</div><b>jira_search</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Tìm issue Jira bằng JQL, trả về danh sách tóm tắt</span></div><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic pur">🔗</div><b>jira_get_issue</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Đọc chi tiết 1 issue Jira theo mã (vd ABX-123)</span></div></div><div class="grow"></div></div></div></div>
+<script>
+(function(){
+  var btn=document.getElementById('fu-test');
+  if(!btn)return;
+  btn.addEventListener('click',function(){
+    var st=document.getElementById('fu-status');
+    st.style.color='var(--fnt)';
+    st.textContent='Đang kiểm tra Internet…';
+    setTimeout(function(){
+      st.style.color='var(--ok)';
+      st.textContent='✓ Kết nối OK · '+(30+Math.floor(Math.random()*40))+'ms';
+    },700);
+  });
+})();
+</script>
+<div class="cap" style="margin:10px 0 3px">Tab Connector</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="ttl">Monitoring</div><div class="r tb"><div class="tab">Tổng quan</div><div class="tab">Bảo mật</div><div class="tab">MCP</div><div class="tab">Hành động</div><div class="tab">Agent</div><div class="tab">Agents Admin</div><div class="tab on">Công cụ</div><div class="tab">Icon</div></div><div class="r tb"><div class="tab">Tool</div><div class="tab on">Connector</div><div class="grow"></div></div><div class="c grow pane"><div class="r tb"><span class="tsw on"><i></i></span><span class="lbl">Kết nối tới connector bên ngoài</span></div><div class="s">Một nơi duy nhất cho mọi nguồn tool ngoài — nhóm theo CAD (NX/CATIA/SolidWorks/AutoCAD), CAE (ANSA/ABAQUS/HyperWorks/ANSYS), MS365 (Microsoft 365/OneDrive/SharePoint) và Other (MCP server bất kỳ). MS365 tự kết nối qua server tích hợp sau khi đăng nhập; còn lại bạn trỏ mỗi connector tới MCP server bạn đã có hoặc REST API nó cung cấp (không kèm SDK hãng nào).</div><div class="grow" style="overflow-y:auto"><div class="r tb" style="gap:6px;margin-top:4px"><span>🔧</span><b>CAD</b><span class="lbl">(NX / CATIA / SolidWorks / AutoCAD)</span></div><div class="r wrap" style="margin-left:18px"><div class="card" style="flex:0 0 auto"><div class="r tb"><b>AutoCAD</b><span class="grow"></span><span class="tsw"><i></i></span></div><span class="s">MCP server (stdio)</span><span class="s" style="margin-top:2px">✎ Sửa &nbsp;·&nbsp; 🗑 Xóa</span></div></div><div class="r tb" style="gap:6px;margin-top:4px"><span>📐</span><b>CAE</b><span class="lbl">(ANSA / ABAQUS / HyperWorks / ANSYS)</span></div><div class="r wrap" style="margin-left:18px"><div class="card" style="flex:0 0 auto"><div class="r tb"><b>ANSA</b><span class="grow"></span><span class="tsw"><i></i></span></div><span class="s">MCP server (stdio)</span><span class="s" style="margin-top:2px">✎ Sửa &nbsp;·&nbsp; 🗑 Xóa</span></div></div><div class="r tb" style="gap:6px;margin-top:4px"><span>☁</span><b>MS365</b><span class="lbl">(Microsoft 365 / OneDrive / SharePoint)</span></div><div class="r wrap" style="margin-left:18px"><div class="card" style="flex:0 0 auto"><div class="r tb"><b>OneDrive</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Tích hợp, tự kết nối</span></div><div class="card" style="flex:0 0 auto"><div class="r tb"><b>SharePoint</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Tích hợp, tự kết nối</span></div></div><div class="r tb" style="gap:6px;margin-top:4px"><span>🔌</span><b>Other</b><span class="lbl">(any generic MCP server)</span></div><div class="r wrap" style="margin-left:18px"><div class="card" style="flex:0 0 auto"><div class="r tb"><b>Jira</b><span class="grow"></span><span class="tsw"><i></i></span></div><span class="s">Tích hợp, tự kết nối · chưa cấu hình</span><span class="s" style="margin-top:2px">✎ Sửa</span></div></div></div><div class="r tb" style="margin-top:4px"><div class="btn pri">+ Thêm connector…</div></div></div></div></div>
+<details class="ctl"><summary>Kiểm kê control — <b>15</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>—</td><td class="mut">ô tick</td><td><code>on_toggle</code></td><td class="mut">ui\tools_admin_tab.py:32</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>0</td><td class="mut">bảng</td><td><code>—</code></td><td class="mut">ui\tools_admin_tab.py:57</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Kiểm tra Internet</td><td class="mut">nút</td><td><code>self._test_internet</code></td><td class="mut">ui\tools_admin_tab.py:72</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Làm mới</td><td class="mut">nút</td><td><code>self.refresh</code></td><td class="mut">ui\tools_admin_tab.py:80</td><td class="mv">→ lên sidebar cùng RECENTS</td></tr><tr><td>Dán bất kỳ link Jira nào — tự điền Base URL</td><td class="mut">ô nhập</td><td><code>self._on_paste</code></td><td class="mut">ui\connectors_panel.py:42</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>jira.get('base_url', </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\connectors_panel.py:46</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>jira.get('email', </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\connectors_panel.py:48</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>jira.get('api_token', </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\connectors_panel.py:49</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Kiểm tra kết nối</td><td class="mut">nút</td><td><code>self._test</code></td><td class="mut">ui\connectors_panel.py:58</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Lưu</td><td class="mut">nút</td><td><code>self._save_close</code></td><td class="mut">ui\connectors_panel.py:60</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Kết nối tới connector bên ngoài</td><td class="mut">ô tick</td><td><code>self._on_connect_external_toggled</code></td><td class="mut">ui\connectors_panel.py:133</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">cây</td><td><code>lambda *_: self._ext_edit()</code></td><td class="mut">ui\connectors_panel.py:144</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thêm connector…</td><td class="mut">nút</td><td><code>self._ext_add</code></td><td class="mut">ui\connectors_panel.py:155</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Sửa</td><td class="mut">nút</td><td><code>self._ext_edit</code></td><td class="mut">ui\connectors_panel.py:159</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xóa</td><td class="mut">nút</td><td><code>self._ext_delete</code></td><td class="mut">ui\connectors_panel.py:162</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Màn <b>duy nhất còn hiện dải tab</b> — 7 màn Monitoring kia bị ẩn. Không nhất quán.</li><li>Tab <b>Tool</b>/<b>Connector</b> lọt thỏm trong một mục nav.</li><li>Cấu hình kết nối tách khỏi Settings → thiết lập ở 2 nơi.</li><li>Tab <b>Tool</b> liệt kê <b>9 tool thật</b> (<code>core/tools.py:TOOL_SPECS</code>) dạng chữ phẳng (☑/☐) — không thấy ngay tool nào đang bật khi lướt nhanh.</li><li>Tab <b>Connector</b> là cây phân cấp 4 nhóm (CAD/CAE/MS365/Other, <code>ui/connectors_panel.py</code>) — phải bung từng nhóm mới thấy có gì bên trong.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Bỏ ẩn dải tab cho toàn bộ Monitoring → 8 tab một hàng; Tool/Connector ngang hàng.</li><li>Tab Tool: 9 tool thành <b>lưới thẻ căn trái</b> (không kéo giãn lấp đầy hàng) — icon màu theo loại + công tắc gạt bật/tắt, thay ô tick trong list phẳng.</li><li>Tab Connector: 4 nhóm thật thành khối <b>nhóm theo catalog</b> (không gộp vào tab Tool) — mỗi catalog là 1 tiêu đề (icon + tên + loại máy/phần mềm), bên dưới là hàng thẻ nhỏ căn trái, mỗi thẻ 1 option thật kèm <b>công tắc gạt</b> bật/tắt (không phải badge tĩnh) — đúng bản chất mỗi option đều chuyển được trạng thái, nhất quán với công tắc ở tab Tool; giữ đúng cấu trúc phân cấp 2 tầng của cây thật thay vì gộp phẳng vào 1 thẻ/catalog. Công tắc "Kết nối ngoài" tổng vẫn ở trên cùng. Thẻ của connector do người dùng tự thêm (AutoCAD, ANSA) có thêm ✎ Sửa/🗑 Xóa đúng như <code>_ext_edit</code>/<code>_ext_delete</code> thật; Jira (built-in) chỉ có ✎ Sửa (mở dialog cấu hình riêng, không xóa được); OneDrive/SharePoint (built-in MS365) không có nút nào — thật cũng chỉ bật/tắt, không sửa/xóa.</li><li>Nút <b>Kiểm tra Internet</b> dời từ thanh trên (tách khỏi tool nào) vào đúng bên trong thẻ <b>fetch_url</b>, khớp <code>tools_admin_tab.py:_fetch_url_desc_cell</code> — nút này gắn với khả năng fetch_url, không phải một hành động chung của cả tab.</li></ul></div>
+</div></div></section><section class="sec" id="monitoring-icon">
+<div class="hd"><b>16. Monitoring ▸ Icon</b><span class="tag">ui/monitoring_tab.py:132</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Thư viện icon, dùng lại khi đặt icon cho agent Co4E.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" 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JkiVnz56dPXv2yJEjn2zHAQYRTdNmZmaqyzkcDvoPgloSieSHH34ghKxfv97V1VXtQ4iYbhFjx46dNGmSnsNj3ejRo+VyOTNBD03TtbW1yrewNE3jGfYURTk5OXE4HIqihELh/PnzCSFMo1K8piiKw+EwPyaZ2ncAoq6GRdAPS51169bZ2Ngod/NkOjbGxsayFxTL5HK5XC5XO12Ggo+Pj97iMUASicTd3V3TuyNGjDA3NzfB2dOUtbS0XL9+PT09ffz48XPnzrWwsLh48SJzLvLx8amurjbx/IBaiou1lt6vuqxj9GQymUAg0PSuQCAwwV/H9U+vBawHDx4cP3589erVhBCmH9ZAtxAfH9/Q0PDCCy9s2bKlra3t1q1bhw8flsvlO3fufP3117/77juJRHL58mXmB0+1Ojo6du/e/cYbb2zcuDEzMzMxMVF1JEh3dzezwUOHDjU3NzPPKPzqq6/eeuutFStWXLx40QRHRrBOIBBERER4eXmlpaXdu3fPBL8UqWpsbAwICFD0PWRQFOXo6JiXl8diYIZAJpMpz5/C9L1SHW5parhcrr+/v6WlpUAgaGpqUrtOSEiIjY2Nl5fXE5yih7uYmBhCSEdHByGEpulffvlFbZ/54ODgBw8emOY9irW19YIFCywsLKysrKqrq5lCjFQqJYQoXru4uFhYWCxYsEBTAo0e+mHpwsbG5ubNm1VVVYolbm5uU6ZMYTEkMHylpaXTpk2zs7NTO4sTU6BhzuEmTiaT3b59OycnZ+PGjYq7RD8/P1O+P1R+ELOW1Uzzccx9elSJxeKgoKAlS5YQQmxsbJhvvuh1RQipr693c3PTdAV3c3Mz5Ycg6Y2+e2Dl5uYyP9U+ePDgybaQlJSUlJTUZ2FNTc3OnTtVV162bJniteI3vby8vDfffJN5/e677xYVFan+YVVV1ccff9wn8s2bNz9ZzPA0KIpiJnGvq6s7duwYJnFXKCwsfPbZZ+fMmVNYWMjhcAghvb29Y8eOtbCwMNkJDkA7kUg0Y8aMwsLCc+fOtbW1EUL6FEAJIdOnT6+trb1x48bDhw9ZCpM1nZ2dcrm8vr7+8uXLmroxOjk5hYeHFxQU6Dk2A9Ha2nro0KGXXnqpvb2dpunr16/b2dk5OzsTQnJycpqbm5mnqXR2dh46dIjtYNmkpR+Wubl5ZGTk999/b8oDwQghnZ2dVVVVfXobofQA2kkkkszMzMjIyNOnT/eZCcvT03PixImnTp1iKzYD1N3dfefOndDQ0JKSEltbW5FIpPZbj4nQ9CDmPvA4Zhsbm7a2thMnTigmcZfJZDY2Nqb5i1Qfubm5ixYtunv3ruoX0hEjRgQEBGjpRgODhaP/j3zw4METV68GkUAgmDNnzqRJk3TvlMHj8Q4ePMjlcoc0MFA2YsSImJiYiIiI5OTks2fPonqlTC6X//LLLzRNz5w5c/78+fPnz585cybTbcRkH54C/ero6Lh8+fKjR48oipo+ffprr722dOlS5Y6oHR0dKSkpJSUlJvXbI4OpyIwYMSI6OlrtHBlcLnfWrFl37941went1fL19V2gxNfXl+2IDIiihsV0vCKE/PrrryUlJSUlJWZmZkKhkN3wAIap27dvt7e3r1692tPTk8/nUxRlbW397LPPPvfccxwOx9bWlu0ADUteXp6jo6OTk5Ovr29ZWZlp9h1mKB7E7ObmpmUgqok/jtnb23v16tXW1tadnZ137ty5c+dOZ2entbX16tWrFdcyU1ZdXZ2Xl7do0SI+n6+8nM/nL1q0KDc3V/sYcBgUpnhw7t2718fHh3nMza5duzSNo1HV1dX1xhtvDGlsoMDhcIKDg6dMmVJSUnL06FF8XVSrs7Pzt99+Ixgi1x8TrMVowsxeRNO0q6vruHHjTp06NXHixIkTJ16/fp0QwsxeZMrpevz48b///e/nn39+6dKlCQkJyhcIBweHyMjIzs7OW7dusRihIWhtbWUm4qmvr+8z6aSLi4uPjw9+p2Wo9sOiKGr27NktLS2633sYGU2zNyoz2ZkckRxd0DR96dKlcePGzZkzx9LSUi6Xm5ubV1dXnzp1ytbWNioqKiEhwZT7GfUhk8nEYnFISIhIJMrMzGQ7HDBoigdWMhfx4OBgiqLu3r3b2tqq2qfYZKWmplpbW8fExFy8eJGZUU4oFC5YsKC5ufn3339nOzqTYIoFrO3bt7MdAvSPz+eHhoZevnxZ7TzTAAOCmzZGY2Njb29vVFRUR0eHn58fM1zu0aNHERERzMzllpaWvb29JvvVurGxUSaTMTWsKVOmrFixora2trGxkZlaztHR8e7du7du3WJyZcqSkpJmz549duxYte+2traqjvQ3WYoa1m+//VZSUjJ79mxnZ+fTp0+bbJm4srIyMjKSEMLj8YKDg5WnJLeysuLxeDNnzhw7dmxiYiJ7MbJGkRxNJxkOh2OyyVFG07RYLL5//761tTXzXEJm8GljY2NCQsK8efPkcjnuHhWys7PXrVtH/vPEWJMll8t5PJ65ufmjR4+0rGZubs7j8UxzKIOjo6Nyicra2lrxFnMtE4lEJt6KCCE0TSckJMyYMWP16tU3btwghMyYMaOkpOTGjRsme2XXM4qZugKGKQcHB0LIUDxPRCgUsvgcdD6fP378+Hv37mmfZxEUpk+fTghRnrYcQC0bGxt/f39mKHRdXd2DBw8cHBwCAgKYd7u7u8ViMbrPMPh8vpeXl52dHU3TbW1txcXFpjz4Ap6Gt7d3ZGSkmZlZS0vL2bNnTfwpYJ6enu7u7o6Oji0tLcrfEs3NzW1tbevr6ysrK022+sAkR9NDvmiaNuXk6MjT01Mul1dWVrIdiAF59dVXHz9+fPjwYbYDYRMmcR8oDO/Qztvbe+HChYSQCxcumGxdj/nNOzg4uM9yZsp/oVA4FDc8KGANb8ZawIKBYkZi49s1AIBhsrCwEAqFTU1N+FIEAHrG5XJpmjbNXkXKKIoSiUTa57eSy+UNDQ04URNCQkJCaJrGwwe1wPcvVgpYpjiEEMD4mPKpEwDA8D1+/NjEHzsIAGzp7u5mOwSDQNO0yT5b8AncvXuX7RAMHb5/sYKFpxACAAAAAAAAAADoDgUsAAAAAAAAAAAwaChgAQAAAAAAAACAQTO3nryRECLplDZ3SOU9Tz63nzmHw+dZ2FtZm5uZtaUftvIIau+mm81te80FgxYs/Aen5zFX1mzZWMB2IAAAAAAAAAAAQ45DCOnoktVLWp+mekUIkff2tss6HzXVy3t6uLYuvm+eCNj8T/MRjoMUJ/wfvWYWj62cW92ndlN4UCAAAAAAAAAAGDkOIaRVKh2szfXQvU3StlGLdpgLRrQ31XQ/7hysLYOqXo55g8Cd7SiGVmxsrLW1NdtRGC7kp19I0dMzqRzy+fy3337766+/Hjt27JNtwaTSZVI7+8SQJdDkydpGZGTkhg0bBn2zRg9p0aTfFgWmiaKoTz75xN7enu1AWKZ66ug3M2rPNjjQBos5IaSrp2sQtyjr6hoxdiohJP+3H+nenkHcMqjq4AjZDgEAwHifjpKfAAAgAElEQVRERETI5fK3334bDx0fCvPnz+/o6Lhx4wbbgQAAAMD/Ur46K17TNL1z5062QzNEyAy7OISQnl56ELco7+3h2TgTQh53tA3iZkEtOYfLdggAAMbDxsbm4cOHqF4NEScnJx4PI98BAAAMiPLVGVdqMHDmbAcAQAghsbGx33777dKlS0Ui0f379w8fPiz9vyNbp02bNn/+fHt7++Li4n/+859tbW3vvPPOnTt3rl+/Tgjh8/mfffbZ9u3bpYM3HtagaM+PUCjcu3fvli1bmH9u27YtKSkpKyvL1dV1/fr1Hh4e5eXlRUVFVlZW33//PUt7MOSeLEULFiyYO3euhYVFSkrKiRMnWIp9kKlNhdoM2NrarlmzRvGHJ06c6Onp6bMkMTFR8U87O7v169f7+PjU1tb+8MMP5eXletupQREbG3vs2LFly5adPXs2KSlJdXc2b948ceJEQsgLL7ywadOmftcnhKhtQmPGjHnxxRdtbW1v3rx59OhRNvf5Sanu+6pVq/z8/Lq7uzMyMk6fPq2o8Xl4eDCNTSwWf//998xxp3b9bdu2+fv7E0JWrlz5X//1Xx0dHWzu4SBRTlRGRoba84xiZbVNqE+q2dmNoaR6jKhe0Ldt25aRkZGcnEwIsbOz27lz55/+9KcRI0YM6xOO6o5bWVmtWrUqICCAw+EcPXo0MzOTqDtdqG0nIpFo/fr13t7ejx49KioqYj5C06VNEcOwO2mrJk3tLqg2IaJyKOmY7WFNx3TFxsb+61//evHFF21sbFJTU5k11bYoI6B7ThStJTQ0VMfzz3A8XeuSEOWrc0FBga+vL/nPlfpvf/vbBx980NbWprYVafqiMazvrnW8r4uNjWUyo/00a6wHGrtQwAJDMXv27IMHD8pksg0bNqxYseLQoUPK77q7u8fFxTU0NLz22muRkZG//PJLWlpaeHg4U8AKDQ3Nz8831uoVQ3t+VHE4nFdfffX27dsHDhxwcXF5/fXX7927p59Q2TLQFHl5ec2YMePTTz9tbW3VT4R6o2MqkpKSmDuwwMDAmJiYq1ev0jTdZ4liZQ6Hs3Xr1qysrL///e8hISGbN2/++OOPaXowO/Dqgb+//4cfftjZ2al2d/7xj380Nzd3dHScP39el/U9PT3VNqGpU6d+/vnn1tbW7733XkZGRkHBsHxirGLfKYraunVrTk7ODz/8YGVl9fLLL0dHR//73/9mVlNubMuXLz98+LCm9b/44osNGzY8evRIuSpqBBSJEgq1DerXcgQptqCvkPVH7WlW9YKenp4eFhbGfIEMCwu7fft2b2/vsD7hqN3xLVu2VFVVffLJJ7a2tqNGjWIW9jldFBUVqe44c0xlZmZ+8803rq6uOl7Qh91JWzVpmnZBtQkx6ysfSrpke5ienBm6p4sQEh4e/tlnn9na2r733nuZmZkPHz58ghZl+AaUE0Vr6erq0v38M7xO1zompM/VWdOVWrUVqf2iMazvrjUFr+nUof00y7xrfAca6zhsB0AIITxzcwEfPRVN3YULF+rr6yUSyalTp4KDg/u8e+LEifLy8o6OjvT0dGdnZ0JIVlaWp6enlZUVISQsLOz3339nIWg90p4fVV5eXlwu9+zZsx0dHcXFxSkpKXoIkl0DTVFvb69AILCxsdFDbHo2oFRYWVmtXr36u+++U1xxVZcQQry9vZkWJZPJbt68SQhxcXEZul0YIteuXWPuO3XcHe3ra2pCFy5caG1traioyMvLc3NzG/K9GhqKfR8zZgyPxztz5oxUKq2rq4uPj58yZYpiNeXGFhIS0u/6xkeRKO20NDkdtzAcqT1GVC/od+7c8fHxsbS0JIRMnDgxLS1tuJ9wVHfc09PTzs7u6NGjbW1t5eXlqampzPI+pwu1O+7l5WVmZnb27NnOzs7i4mLmm3a/hl0OVZOmaRdUmxBDcSjpmG297t5g0z1dhJALFy4wqcjLyxs1atSTtSjDN6CcKFrLgM4/w+t0PaCE9Eu1Fan9ojGs764Hel+nPZ/GeqCxziB6YL25Yq4F13zv9+fZDgTYVF9fz7yQSCSWlpYURSl/eQ4LC5s8ebKLi4u9vb1YLCaEPH78OCcnJygoKDs7e9SoUUZf0taeH1Uikai6ulqxTnt7+zC9luhuoCkqKyv7+eeft2zZUlNTc/To0draWr2EqQ+qqdCy8po1a5KSkpR3X3UJIcTBwcHZ2TkuLk6xxNbWtqqqalADH3JNTU3MCx13R/v6+fn5aptQY2Mj86Kjo2P4TiShvO+1tbWKo6murk75ZKLa2LSvb3wUidJOS5PTcQvDkdrTrOoFvbOzUywWBwUFFRQUWFlZFRUVTZ48eVifcFR3fOTIkVVVVb29vX3W7HO6UNtORowYoXxClkqltra2/cYw7E7aqknTtAuqTYihOJR0zPYQ79DQ0j1dRCkzUqnUwsJCJBI9QYsyfE+WkwGdf4bX6XpACemXaitS+0VjWN9dawpe06lDez6N9UBjHfsFLEe7ERZcc+ZFfbOE7XCANUKhkJnFwMXFpbGxUbn04OPjs3z58qNHj1ZVVfn5+T377LPM8vT09JkzZ3I4HKa7Lztx64uW/MhkMi6Xa25uLpfLCSHMyVEqldrZ2SnWEYlEeg9Z3waaIkJIcnJyampqdHT066+/vmvXLjaiHhKqqdCUgbCwMBsbG+WhgqpLGK2trQ8fPtyzZ4++dmJI9PT877Nxddydftc31iZElPa9ubl55MiRioqwo6Oj4k6OqGts2tc3PopEaTrKGFqanGILRqnPMaLpgn7r1q1JkybZ2Nikp6cTozjh9NlxiUTi6OjY71+p3fHAwEDl57UrtvPETc5g9Uma2l3Q1ISI0qGkY7aHO13SpZZUKlXbooyA7jlRPvHqfv4ZdqfrJ24k/dLyRWNY3xoNKHjt+TTiA41d7A8hnBI4JqeoIqeoYkrgGLZjATa98MIL1tbWIpFoxYoVfca7iUQiiUTCzIo3efJkxfK8vDx3d/fJkycb/fhBojU/crm8rq4uKiqKz+fPmjXLwcGBEFJUVGRvbz9nzhw+nz9+/HjlOzxjNdAUKZSXl5ubs1/NH0SqqVCbAWtr66VLlx4+fFhR7FNdolBUVGRraztr1iw+n6/n3RkKA90d7esbXxNSVlxcTAhZvHixlZWVSCRavnw5M/kgQ7WxaVm/o6PD3d2dw2H/3mMoaD/PGNkRNFCKY0TTBf3u3bve3t5BQUHMBd1o0qXY8aKiIjMzsyVLllhZWXl5eYWHh6tdX+2OMwvnzp3LXNBDQ0OZ5cba5JSTproLmpqQMh2zbRy0p0stTS3KaAw0J8Z6/lHoNyHKV2cdr9T9ftEY1rdGOgavvakY/YHGFpZbla3Qcpyny7/OJFMUeWlRxI2sgtZ2Y3gsETyB3Nzcjz/+mMPh3Lp169KlS8pvZWVlTZo0ac+ePY8ePcrMzGSejkEIoWn67t27fn5+FRUVbISsV1ryQwj58ccfN2zYsHDhwuvXrzPfHmUy2ddff7127dqlS5feu3fv999/FwgEbASuPwNNUUBAwObNmy0sLKqrqw8fPsxCxENGbSpUM7Bq1SqRSPSXv/yFWeHKlSt2dnZ9lsTHxzOv5XJ5bGzsmjVrVqxY0dXVdefOnR9++EHvezZoBro7atc34iakrKenZ//+/WvXrt27d297e3tycrLy3K65ubl//vOfKYpSNDYt66empm7dunXfvn07duyQyWTs7M9QUj3KFIzsCNKR6jGi6YIul8vz8/NFIlFDQwMZ/ulS3fHu7u79+/evWbNm7969ra2tmnZH7Y7LZLJvvvlmzZo1S5cuzcnJuX79uqKzgzE1OdWkqd0FTU1ImY7ZHtZ0TJfav9XSooa1J86JkZ1/FHRPiPLVWfm1lo1r+qIxrG+NBhq89qZirAca6yjfxdtL6gZ5PPyCd74jhFz88iXVt8zNOEFjPfhc8xFWfKGAP9bD6X5Zzb+v3SaELJk1wW+0c2F5bXunTCKVybrlOYXl8h4148J+3L76wOmUjAfGX7PQhV/b7fb29kHfrFAo1OfsAIpnkQ70D//whz9UV1cb2TOtVD1xfhRefvnlsrIyI07U06fIaCAVAAAAAKA3Rv9FA9RiZkZTfWBUdnY2IUQoFA5FmULfPbAs+RZRk8cTQm7lFZfXNYpLq4of1TFvXfg9+0FZtZWlxQiBxYxn/QghxRW1rdJh86AH0D8/P7+QkBDF45NBLT6fHxoaGhwcfOrUKbZjAQAAAPj/7N15fFXlvT/6tXcGQhIyRwhQGWX0iAWUwaqoQG3paZ2wVlttexzae/TU4y23v+NprbTnak+1/q6Wanscq6XWY8G2DliwpVQRqDiAoogEBJkHgZCEzPv+se9v3/wyEWjCXkne75cvXzsrez9815O111r7s5/1LKCb8EGDE+xEB1hlFUd++fwrX5wxqbauYfW7HzaeZqW6pu7dzTsikcjZp4+oqql9asmqo6ZXuVkZN196zqRRJ0cjkbv++y9/evODk/Ky//Wyc8cPH1BTV//S6xseePbVmrr6IAiW3v3NuU8s/j8+P7WgT9ZzK9/9fxb+tXPXk853ww03DBs27JFHHqmoqEh2LSE1Z86cQYMGxWKxbdu23XfffYcOHUp2RQAAQJfngwZJcaIvIYwrzu9zxczJ75Zu//Pr7zXOsCKRyPkTRo8Z2v83S1a1cUfCxCWEv7j5ss27Pv6v51cW5WadMrB40ar3fvmdK5a/8+Gv//xmTlbG7VfPfO39j37x3IogCJbe/c1V67fe9d9LC3OyHvjWpTff//u3N+/s0JVOmu5xCSEAAADQJSTlEsLk3Alo74HDv35xxRljhxTn9Wm8vDivzxljh/z6jyvbSK8SRp980kn52Xf9918+Ply5Ydve51e+e+qQfhlpab94fmVZZdW2vQfve+blC88YmXj+Lxev3l9WuWHb3lXrt54y0AxqAAAAAF1D0m5lXVNTGwTBwf/9noPxawara2rb08InivM27/q4vuH/n+W9pCBn696DiSFd2/cdKsrJSvx2z8H/LxQrq6jqnZ7295UPAAAAwAlyoufASijK73PocGVNbV1udu+vfOas7MxeDyz486HyI4fKK4vy+5QfqT5qCwfKjwwsym28ZM/B8k8U50YikXiG1b8wd9fHRx/JBQAAAECYJW0EVlF+n8NHqs+fOOq6i6cdqa7Zd/DwdRede/7E0Ycrq5tcV9iaNaU7UqLRb/7j1JzMXmMG9f3smaPi01rdMGtyTmZG/8Kcf7n4UwuXv93J6wEAAABA50raCKyxQ/r3K8yLxWLzF63Yue9gEAQlRXnnTxw18KT81JTIa+9uPmoLNXX1Nz/w+zmzp/3uB1/ff6jijif/VFffcPP9v59z+XnPzP1qWUXV71ese2rpW52/KgAAAAB0ouTchTAIglGDSoIgeH/rriZ3IRx5cr8gCNZv6Sa3CDwB3IUQAAAAOGGSchfCpI3AajGiisVioisAAAAAGkvaHFgAAAAA0B4CLAAAAABCTYAFAAAAQKgJsAAAAAAItWgQBCnRSAe2mBpNqTm0KwiCXpk5HdgsLUptqE12CQAAAACdKxoEQXpKege2mJGefviDV4MgGHP+VyLRlA5smeYyGzr+zpQAAAAAoRINgiA3K6ujmkuJRAuycj76w511Rw5nF5Sk9erdUS3TXLShrujItmRXAQAAANC5UoMgyEzPKO6Te6Cyoq6+7vgbiqZkpKcXZOWkpqRUHty54WdfLK+N1aXmBakyrI4XratOqz6QuX9DWl6HhY8AAAAA4ZRatuqx+KO8jmiu8n89qNi6NhIEBR3RJm0SYAEAAADdnLsQAgAAABBqAiwAAAAAQk2ABQAAAECoCbAAAAAACDUBFgAAAAChJsACAAAAINQEWAAAAACEmgALAAAAgFATYAEAAAAQagIsAAAAAEJNgAUAAABAqAmwAAAAAAg1ARYAAAAAoSbAAgAAACDUBFgAAAAAhJoACwAAAIBQE2ABAAAAEGoCLAAAAABCTYAFAAAAQKgJsAAAAAAINQEWAAAAAKEmwAIAAAAg1FKTXQAAhFpaWlpKSkpVVVWyC6FLGjduXCQSeeutt5JdCHQfkUikqKgoNTU1CIK6urp9+/bFYrFkFxU6kUgkLy+vvr7+8OHD+gfoHgRYdDGnn356nz59giDIycnZtm3bmjVrkl1Rcpx22mkbNmxIfKIeMGBAEATbt2+P/5iRkTFixIi1a9cmrb6Q6du3b3p6+kcffZTsQkJK/7Tta1/7Wnp6+rx585JdCF1STk5OsksIiwEDBgwdOrTJwuHDhz/77LP79u1LSkl0RZFIZNasWQMHDqypqQmCID09fdu2bc8//7yMprGSkpLp06dnZWVFIpGysrJly5Zt27Yt2UWFy/jx47Oysl5++eVkFxJGubm5w4YNC4KgtLT00KFDyS4nRJr3zIgRI/bu3XvgwIFkl9ZTCLAIqc9//vPvvPPOpk2bmiyPn53k5uYOHjy4oKCgxwZYEydO3Lt3786dO+M/xj8SJAKs/Pz8iRMnCrASZs+eHQSBAKI1+qcNhYWF6enp8Qf79+9Pdjlh0Xj4Q2OGQgRBcOaZZ+7bty9x/GpyIBs6dGhRUdHf/va3ZJSWZEOHDh03blyTA3dWVtbFF1/85JNPlpeXJ6uw8MjNzS0rK+vh76CjKioqGjhw4EMPPVRXVxcEQWpq6rXXXltUVLR3795klxYWBQUF//iP/7hs2bIPPvggFouNHDnys5/97DPPPKOLEoYPHz516tQgCHbu3Llx48ZklxMugwcPnjlz5tatW4MgmDhx4uLFiz/88MNkFxUKLfZMSUnJjBkzFi1a1Pxzaw9xgj+PC7AIqXfeeWfmzJlLliwpLS1tvHzNmjXDhw8/9dRTt2zZcvDgwWSVRxdSWFiYeCCAaE7/tG3ChAnvvfdeEATjx49fsmRJsssJhSbDHxozFCIIgn379s2cOXPBggXxz4qJrxaCICguLp45c+bixYuTV12SrVmzpsl4h1deeWX69OkXX3zxM888I8OaOXPmxx9//Oc//7knv4NaM2DAgBEjRuTl5R05ciQIgilTpjT+7YQJE3r37n3w4MENGzY0ftP1TGeeeebatWvff//9+I/r168vKCiYMGHCiy++mNzCQmL48OEzZszYsmVLEAQzZsyIxWJNPm70ZNFodPr06S+++GI8pjn55JNnzpz5yCOPNDQ0JLu0JGutZ5YtW7Zz587zzz9/y5Yt9fX1yS6z+xNgEVKbNm1asmRJPMNq/MVI/JCzZMmSkpKSJJYXHhkZGfn5+VlZWUEQlJSUHDhwwEw9jUWj0SlTpmzcuDESiUyZMuWFF15wAG5M/7QtJydn+PDhTz75ZBAEX/rSl1atWlVWVpbsopKvyfCHxgyFCIJg06ZNCxYsOHjwYFpa2oQJEwYNGhQEwZYtW15//fWDBw8mgq2e7POf//xf//rX+LdQsVjspZdekmHFLVq06OKLLz7//PNlWC3q1atX375933///d27dzdevnv37urq6sGDB8ezLU466aR333238ZK1a9fG90UMGzZs+vTpixcv7t+/fxAE7777bjzD6rHDZ5rIz89PSUlJTCvx0UcfpaSk5Ofn+46zjZ7ZuHHjBRdckJ+f73L4E0CARXiVlpYuWbJkxowZdXV18ZGrifRq48aN2dnZzu2CIBgxYsTEiRPjF/L0799/9erVrhyM69u379ixY4cOHZqSkvK73/0uEol84Qtf+PrXv75p06Z169Y1OfftgfRPi1JSUsaMGdOrV6/s7OysrKwhQ4aUlpbG5zX48MMPr7766s2bN1dUVJSXl1dXV7/77rs986u21NTUmpqa5ulVEAR1dXU1NTXNLy3safbu3ZuWljZ79uyysrLVq1cHQTB69OjZs2f/93//t/QqCIJly5Y1zoJlWAnl5eXPPPOMDKtF27dvb2ho6N+//9KlS1t8wpAhQ9asWZOYXaEnS01Nra2tbbykvLx83bp1yaonVMaOHbt48eJNmzbFA6zS0tJYLHbqqacKsOLKy8tTU1OzsrLiu+KsrKzU1NSevFtOaKNn8vLyotFoRUVFsmvsEXr6KSYht3Hjxrq6uvjHpHh6tXjx4vgo3x5+R6dYLBY/r127dq3EqkWzZs3KzMwsLy9/8cUX9+zZEwTB888/P3369DFjxgwePPiRRx5JdoFJpn9a1Lt373PPPTcIgjfffHP79u0ffPBBYt6Hl156afDgwZmZmVlZWZMnTw6C4MMPPzx8+HASqyXMJkyYUFZWlriactOmTbNmzZo4ceLKlSuTXVryNZ8SuHGGtWDBgsrKyqQUFgYyLP4e6enphYWF0Wi0qKioxSfs37+/+dXfPcof/vCHJks2bdokvUqorq5+6623Pve5z8W/fZk4ceJbb71VXV2d7LqSr7WeOfnkk88777x33nnHCNATQ4BF2DUee5VIr1i4cGHjr6+b3IWQIAgeffTRfv36jRo16qKLLop/W3veeeetW7du/fr1u3btSnZ1yad/WlReXv70009//vOfr6urW7NmTeOPjjU1NRs2bIhEIpMmTaqurv7DH/4gvaKJ+H1yN23atH379kGDBq1evTqxCcVisfXr10+YMGHlypXxm/GVlZX12PuQtCieYc2aNev0009/9dVXk11OMpWXl69du/bss89evXq1+3/Rfrm5uZdeemk0Gk1LS5s0aVLzOQGi0WhDQ8OCBQtsV7Th1VdfPe200yZMmBAEwXvvveeb8oQWe2bUqFHvvPPOG2+8kezqegoBFl3AsGHDpFcJ+fn5GRkZ8eubGhoadu/eHYvFmtyF8MCBA/EvB3qyWCy2c+fOnTt37t+/f8yYMZFIZNmyZW+//Xay6woL/dOa3bt3L1y48KKLLkpLS1u+fHnjDCsSiZx11lkjRoxYuHChySBo7pgGy0Qikc6rJJxisdiQIUNeeeUVo4raNnTo0PikhFIGjsno0aO3b9++ePHi1t5ikUhk5syZo0ePNhSUNsRisTVr1viKpbkWe6Yn35glKQRYhN2wYcPi92wqLS0dOHBgampqD7+T6znnnFNYWNi7d+/q6ur6+vqFCxc2P8GtqqrybUnChg0bzjnnnKDRoPHRo0dv2bKlJ1+i0pj+aW7//v0LFy686qqr1q9f33g+zsLCwtNPP33+/PnxWbGgicYntVu2bBk9evSmTZvinyQjkcioUaPiN73avn17zxww+9Zbbw0ZMmT69OkvvfRS8w/YkUhk+vTp+fn5f/7zn5NSXkgMHTo0ftrjmiaOVVpaWmVlZRsBcSwWq6ysTEtLO5FVhUR7LlZwQUNqauopp5xSWFjY+CuWWCy2f//+Dz74oMW5L3uIo/ZMenr6Kaec8sEHH/TwS3RPAAEWoRYfe/XHP/4xfhqXmpr6mc98Jj6J+7hx4yKRSA+cCev3v/99EARf//rXFy1a1Hym0tzc3EsuuSQlJSUtLa26unr//v3x5/dkVVVV8Tszxv9fUlJywQUXbNy48Y9//KNRAIH+aUX8/KPJPQfjP5oJgvZ4/fXXZ8+ePWvWrPXr1wdBMGrUqD59+vTwe9gnZndqnmHF06t+/fo988wzPTk9l15BJ2lysUIQBM3fZc2f06P07t37kksuqaqq2rdvX+PrT+P3txk/fvzChQt75jRP7emZSCRy2mmnjR8/voffiuQEEGARXokrBxMHmA8//DB+X8IgCHJycpJaXUiVlZUtWrSouLh40qRJixYtikcSPPbYY/EHI0eOjG8/w4cPLykpefTRR5NZVmjon+YKCwvLyspqampycnIuu+yyzMzMxx9/vKys7PDhw4WFhT35A3YQBPFvGlNTU5t/GZuampqent6Tv6SNKy4uPnjw4NNPPz1hwoT4ZBlbtmx58cUXI5FIcXFxT74RYYsZVuP0qoef95966qnSKzgxemxQ1ZopU6bs3Llz6dKlLY6QPf/886dMmdIzR8i2s2eeeuqpCy+8cPLkyS+99FJS6uwhBFiE1NChQ5ukV3EbN24MgmDGjBkfffSRuSGai8Viu3btikQiDQ0N7iSdkPg4vXnz5k2bNg0dOrS6uvr5559PblXhoX+aKygoqKioOOuss0477bSDBw9WVVVdddVVa9euLS8vLyws/Oijj5JdYDLt27dv27Zt1157bfNx8unp6du2bWt83WUPFB9Es2DBgr17965cubLxXDPFxcWXXnppD08ommRYQRBIrxKa3B/ttNNOmzhxYuMlBlbD8YnFYikpKW0/JxqN1tfXn5h6QmjAgAHLli1rcfR9LBb74IMP4rdp7oHa2TMNDQ3r16//1Kc+dcIL7FkEWIRUa19Cxu/x9NFHHw0ePHjz5s1JqY2uq6amZtGiRV/96lefe+65njwIojX6J2HkyJHFxcWxWGzhwoW7d+8OgqBv375nnXVWSUlJampqD7x4ubFYLPb8888XFRWlpjY9i6irq9u3b19Pvvg0CIKioqLFixcn3kGNJ1XZu3fv4sWLi4qKenKAFfzvGVYQBNKr1mzYsKHJrriHD6w2/LNttbW1ubm5kUikjUncMzMze+YXwNu2bYvvcJrfnDEuGo2ecsopPXnsTFpaWm1tbWu/ra2t7ZmzpwXH0jNHjhxpfmpEx4r069cv2TVw/AoLC4Mg6Ixzvuzs7PT09A5v9u83bty4+MWDOTk527Zt67E3yDjttNM2bNiQOJFtMutkRkbGiBEjzOMOx2348OFBEJSWljaZpmfYsGHB/xoKCu1x9tlnB0Hw8ssvJ7uQ0MnOzv7qV78aBMFjjz0mvaI9IpHIrFmzBg4c2Nrwz+eff74nB+i5ubmXXnppNBptI6NpaGhYsGBBz8ywBg8ePHDgwNbuABuLxbZt29aTbxXV5MNFEz35w0X7e6an9dLHH3/cxm+zs7M74+AuwOraemCABQBdyF5LPNMAACAASURBVOmnnx6/8XayCwmjjIyMoMePKuKYRCIRwz/bkJ6eXlBQ0EZG8/HHH7tLGtAhkhJgGeEGANBZevgFp20TXXGsYrFYD7/CvW01NTW7du1KdhUAnSWa7AIAAAAAoC0CLAAAAABCTYAFAAAAQKgJsAAAAAAINQEWAAAAAKEmwCIU5s2bl5OT055nZmRk3HzzzT/72c9OOeWUxo/b30JXFF+7SCQyd+7cgoKCJr+dPn36Nddck5TCurTm20z33oraSbcAhFNrpwFt67H78B674sFxrXvP6a6/f02deEMSpSa7ADg2Z599dl1d3c0331xbWztjxozE42TXdSLEYrHvf//7ya4CeooLL7ywsrLyr3/9a7ILCR09w3HomZtNx651jzoN6JkbDABtMwKLLiY3N3fz5s3xxKrxY4CO1bdv3/T09GRXEUZ6huPQMzebnrnWHULXAdCcEVgkwWc+85kLLrigV69er7zyylNPPRVfOGzYsEsuuSQvL2/lypXz58/Pzs7+0Y9+dOONN8Z/e8sttyxduvSMM84444wzgiC46KKLXnvttcTj6667LtF4fn7+1VdfPXz48N27dz/++ONbt2494ev392qxf+LmzZt36623lpWVFRUVXX311UOHDt2+ffvGjRsTT2hx9efNm/frX//6sssue/bZZ5cuXdpG+yHXvPJ58+b9/Oc/v/TSS4uKitavX//YY49VVFQEQXDWWWddeOGFBQUFpaWlDz30UFlZWdCsHxLNXnnllSUlJffee29iSdfaipLbLV13c2qiyYrccssto0ePDoLgi1/84re+9a1PfvKT7e+6bqbtnunVq9cVV1wxcuTI2tra11577Zlnnol/qdDaRtiNNemoFo9ib7755rx58x5++OFLLrkkNzd3+fLlXfpd037teUP179//6quvPvnkk7du3bpx48asrKxf/vKXyS7879L8zXLUA/S8efOeeOKJiy66qHfv3r/5zW/Ky8u//OUvZ2RkLFq06I9//GPQ6DSgxQ2pxZ18V9Sk63784x837qUWV7M955bJXKW/2/HtUvLz81vcRWdlZV1xxRVjxoyJRqPz589fvXp14iWJo39dXd2JXMHj1kbPtH0Yaq1zWtzAWjvx7rpa67fmb6X2fLhI5pp0qI7tlm5zkhwqAixOtCFDhpxzzjk//OEPDx061Hj51KlT77777pycnDlz5rz22ms7duxo/tr/+q//OnDgQGVl5fPPPx8EQePHcdFo9KabbnrzzTd/8YtfnH766ddff/33vve9WCzW2SvVgVrrn8biq7l69eoHHnigf//+3/zmN99+++2gzdUfPXr0v//7vx85cqQ97YdTa5Wfd955999/f1VV1TXXXHP55Zc/+uijQRAMHDjwwQcf3Ldv3ze+8Y3p06cvXLgw/uREPyRefsEFF5xyyik//vGPEydqXWsrSm63DB48uItuTk0078Z77rnnmmuu2b59+0svvRQcS9d1M233TCQS+fa3v7127drHH388Kyvrn/7pn2bNmvW73/0u/swWN8Lu6ph2rVOmTLnrrrvy8vLmzJmzevXq0tLSE1Bhch31DRWNRm+44YbXX3/9vvvuKykpSRzXurTGax2NRr/97W+3fYCOv2rs2LE//OEPx44de/XVV2/atOmOO+446aSTbrnllhUrVjQJpJpvSK3tqbqcJhtM8L/3UvPVbOe55YYNG5KwMp2vtV1KJBK56aabWtxF33jjjTt27Jg7d25eXt4nPvGJRFPNj/5dWhuHoTY6p8UdVIsn3t1P87dSez5cJLXkE+H4uqXrfuYKOZcQcqI1NDT07t07Nze3yfIXXnjh0KFDH3300bp16wYMGHB8jQ8dOjQtLe3ZZ5+tqqpauXJlEAQlJSV/b8UnVmv909iQIUNSUlKeffbZI0eOlJaWvvzyy/Hlbaz+X/7yl/gBpj3th1MbW87evXsPHz7829/+dty4cfGFTz311NatWysrK1etWtWvX7/EkxP9EPcP//AP06dPv/feexsv7FpbUXK7petuTk0cdUXa2XXdT9s9M2zYsPT09N///vcVFRV79ux5+umnJ0+enPhtixthd3VM74UXXnihrKxs69at69ata/zRsedo/oYaMmRIfA9TWVlZWlr6yiuvJLvGDtaeA3TckiVLKisrX3vttZqamj/96U9lZWUbN27ctWtX4z1PXPMNqbU9VTfQuJear2annluGX2u7lNZ20YMHD87Pz58/f378VcuXL48/v8Wjf5fWxmGojeNXizuoFk+8u5/mb6X277u6sePrlm5zkhw2RmBxom3ZsmXBggU33njjrl275s+fv3v37vjy/fv3xx9UVlYe96wHhYWF/fr1e/DBBxNL8vLyWhzMFVqt9U9jRUVFjZdXVFTk5eUFba7+xx9/3P72w6m1yvfu3Rt/cPjw4czMzEgkEovFJk6cOGnSpJKSkoKCgvfeey/RSKIf4i655JJFixYdPHiw8cKutRUlt1vefffdLro5NXHU90U7u677abtnCgsLd+/enRifuGfPnsYnai1uhCes8hPsmHatic2moqKiV69eJ6TAcGn+hioqKtq5c2diCykvL+9mJ/3tOUDHJb6rr66uPnDgQPzxkSNHmp8aNd+QWttTdQONe6n5anbquWX4tbZLaW0XfdJJJ+3YsaOhoaFJOy0e/bu0Ng5DbRy/WtxBtXji3f00fyu1f9/VjR1ft3Tdz1whJ8AiCV5++eXly5fPmjXrm9/85u23397ic6qqqtLS0lJTU+NjmNt5nDh06NDmzZvvuOOODqz2xDtq/1RUVDS+i3ZxcXH8QRurX19f3/72Q6vFyrOzs+NXVZSUlOzfvz8Wiw0fPnz27Nnz58/fsWPHyJEjx48fn2ihcT8EQfDoo49ee+21W7Zs+eCDDxILu9xWlNxu6bqbUxNtrEj7u65baqNnDhw4cNJJJyU+EhQXFyc+LgYtbYQntvATrUlHHd9RrCdo8Q1VUVGRn5+feE5RUVHyCuwU7TxA/z3a2FN1A4leam01u83BqDXHsUtpbRd9+PDhxKljYy0e/cOvjZ5p4zDUWue0toNq8cS7S2ut35q8lU7AvitUOrZbuv1+KSlcQkjSbN26NTW11Qi1rq5uz549M2fOzMjImDZtWmFhYXva3LhxY15e3rRp0zIyMjqu0uRoo3/iq3nBBRdkZGSMHTv2k5/8ZOPl7Vz9tvs/zJpUftFFF+Xk5BQVFV1++eXxq06KiooOHz4cn0xx0qRJbTf16KOP/vM//3P//v0TC7voVpTcbum6m1MTjVeksrJy4MCB0Wi0/V3XjbXYM/GZVr7whS9kZWUVFRXNnj172bJliZc03wh7gkRHHd9RrBtr+w21cePGgoKC888/P35c6zbhS2KtT8CRpZvtqRJd12R526vZbQ5GzR3HLqW1XfTGjRtTUlIuvvjirKysIUOGTJkyJf78Fo/+4ddGz7RxGGqtc1rbQbV44t2ltb1FJd5KXfSs+Lh1Rrd04/1SUuhKTrQxY8Zcf/31vXr12rlz52OPPdbGM5944olrrrnms5/97LJly9o5x21dXd28efOuvPLKyy+/vKam5o033nj88cc7pu4TpT39U1VV9cADD1x55ZWXXnrp2rVrly1bFv+yuj2r3/7+D5vWKn/nnXe+973vRaPRv/3tby+++GIQBG+++eaZZ555xx13bN++ffXq1SNGjGij2TVr1jz33HM333zznXfeGV/Stbai5HZL192cmmhxRZYvX37TTTf95Cc/uf3229vfdd1M2z3zb//2b/fee+9VV131ox/9qLy8/OWXX07MuBy0tBF2Yy121HEcxbqxtt9QVVVVP/vZz6666qpLL7307bfffvXVV3v37p3skjtA4zdLZx9ZjmknH36Nu67x8hZXs9scjNp2rLuU+vr6FnfRtbW1995775VXXvmjH/3o0KFDjTfFxkf/xBWs4ddaz7RxGGqtc1rcwFo78e7qmvdb87dS1zor7hAd1S09ZL904kW62RSPPU08FS4vL+/wlrOzs7vxZAF0G4kbiie7kHDRLSSdjZC/xz/90z9t2bKlcR4KcEwchqCztT0PWnZ2dmfEFC4hBAAgFDIyMqZMmTJu3LjXXnst2bUAAOHiEkIAAJJszpw5gwYNisVi27Ztu++++xI34wMAiHMJYdfmEkIAAADgRHIJIQAAAAA0JcACAAAAINQEWAAAAACEmgALAAAAgFATYAEAAAAQagIsAAAAAEJNgAUAAABAqAmwAAAAAAg1ARYAAAAAoSbAAgAAACDUBFgAAAAAhJoACwAAAIBQE2ABAAAAEGoCLAAAAABCTYAFAAAAQKgJsAAAAAAINQEWAAAAAKEmwAIAAAAg1ARYAAAAAISaAAsAAACAUBNgAQAAABBqAiwAAAAAQk2ABQAAAECoCbAAAAAACDUBFgAAAAChJsACAAAAINQEWAAAAACEmgALAAAAgFATYAEAAAAQagIsWtXQ0JDsEgAAAICuJBaLdUazAixaVldX10nbHAAAANBd1dXVdUazAixaVlVVVV9fX19fL8YCAAAA2qm6urozmk3tjEbpHsrLy9PT09PT05NdCAAAABAW2dnZzRfGYrG6urpOSq8CARZtq6mpqampSXYVAAAAQI/mEkIAAAAAQk2ABQAAAECoCbAAAAAACDUBFgAAAAChJsACAAAAINQEWAAAAACEmgALAAAAgFATYAEAAAAQagIsupt+/fr96le/mjhxYrILAQAAADqGAItkuv766z/96U//PS3Mnz8/Ly+v8ZLdu3c/8MADZ5xxRvtfAgAAAISZAItW/eQnPznttNM6ts2LLrpoxowZiR8ffvjh8ePH9+/fvwP/iVgsdvXVV69du7YD2wQAAACSKDXZBdCz9O/ff+vWrYkf6+vr77zzzg7/V2644YYObxMAAABIFiOwOLo+ffr8y7/8yyOPPPLoo49OnTo1CILCwsI5c+Y89thjDz744Fe/+tW0tLT4M+fPnz9p0qSf/vSnTzzxxNe+9rUm7Xz/+9+/4IILvva1ry1YsKBfv37z589v/KszzzzztttumzlzZnxJ796958+fn52d3XYlQRCMGDHivvvu+9WvfnX99dcnyohfJNhaPc1fAgAAAISWAIuj+853vlNdXf2v//qvP/jBD3r16hWNRm+99dbt27ffeOONt91228iRIy+77LLEk88999zvfe97t9122wUXXDBy5MjG7cydO/dPf/rTo48+eumll1ZWVjb/h5YtWzZ58uT440mTJr311lvl5eVtVBJfeP7553//+9//7ne/e/bZZ48ZM6ZJmy3W0/ZLAAAAgFARYHEUw4cPLyoqeuihhw4dOrR58+alS5eOGDEiPT39ySefLC8v37lz5y9/+ctzzz038fyFCxcePHhw8+bNb7311uDBg4/p31q1atXw4cPjo66mTp36l7/8pe1K4st/+9vfHjhw4MMPP3zrrbdOPvnkJm22WE/bLwEAAABCRYDFUfTr1++jjz6qr69PLCkuLt65c2csFov/uGvXrvz8/MRv9+3bF39QXl6ekZFxTP9WVVXV66+/PnHixKysrMGDB7/xxhttV9LkX6yoqEgMy2q7nrZfAgAAAISKSdw5irKysn79+jVesn///pKSkkgkEs+w+vbtu2fPnmNt9siRI+np6WlpabW1tUEQFBQUxJf/9a9//fSnPx2JRFasWNEkq2peCQAAANATGIHFUbz33nvRaPSqq67Kzs4ePnz4tGnT3n///SAIvvSlL2VnZ/ft2/eaa65ZvHhxO1urqKgYNGhQNBqtra3dtWvX5z//+d69e3/6058uLi6OP2HNmjWDBg0655xzElcItlFJx60lAAAAEF4CLI6itrb2P/7jP4YNG/aLX/zi5ptv3rNnT319/X/8x38MHTr05z//+e233/76668///zz7Wztz3/+86mnnvrwww9nZGQ88MAD55133kMPPdSvX794KBYEQUNDw9/+9recnJwPP/zwqJV04GoCAAAAoRVxTVaXVlhYGARBk1v1dXXf+MY3tm3b9txzzyW7EAAAACAUjMAiXMaOHXvmmWc2uf8gAAAA0JOZxJ0QueWWW0aNGnXfffd1szFlAAAAwN/DJYRdW7e8hBAAAACgMZcQAgAAABBqAiwAAAAAQk2ABQAAAECoCbAAAAAACDUBFgAAAAChlprsAgi19PT09PT0ZFcBAAAAhF1dXV1VVVUnNS7AolVZWVmpqanRaDQSiSS7FgAAACC8GhoaUlJSUlNTy8vLO6N9ARYtS09PT0lJSUlJSXYhAAAAQNhFo//fLFXp6ek1NTUd336Ht0j3EA+wkl0FAAAA0GVEo9FOmolIgEWrXDkIAAAAtF/nJQkCLAAAAABCTYAFAAAAQKgJsAAAAAAINQEWAAAAAKEmwAIAAAAg1ARYAAAAAISaAAsAAACAUBNgAQAAABBqAiwAAAAAQk2ABQAAAECoCbAAAAAACDUBFgAAAAChJsACAAAAINQEWAAAAACEmgALAAAAgFATYAEAAAAQagIsAAAAAEJNgAUAAABAqAmwAAAAAAg1ARYAAAAAoSbAAgAAACDUBFgAAAAAhJoACwAAAIBQE2ABAAAAEGoCLAAAAABCTYAFAAAAQKgJsAAAAAAINQEWAAAAAKEmwAIAAAAg1ARYAAAAAISaAAsAAACAUBNgAQAAABBqAiwAAAAAQk2ABQAAAECoCbAAAAAACDUBFgAAAAChJsACAAAAINQEWAAAAACEmgALAAAAgFATYAEAAAAQagIsAAAAAEJNgAUAAABAqAmwAAAAAAg1ARYAAAAAoSbAAgAAACDUBFgAAAAAhJoACwAAAIBQE2ABAAAAEGoCLAAAAABCTYAFAAAAQKgJsAAAAAAINQEWAAAAAKEmwAIAAAAg1ARYAAAAAISaAAsAAACAUBNgAQAAABBqAiwAAAAAQk2ABQAAAECoCbAAAAAACDUBFgAAAAChJsACAAAAINQEWAAAAACEmgALAAAAgFATYAEAAAAQagIsAAAAAEJNgAUAAABAqAmwAAAAAAg1ARYAAAAAoSbAAgAAACDUBFgAAAAAhJoACwAAAIBQE2ABAAAAEGoCLAAAAABCTYAFAAAAQKgJsAAAAAAINQEWAAAAAKEmwAIAAAAg1ARYAAAAAISaAAsAAACAUBNgAQAAABBqAiwAAAAAQk2ABQAAAECoCbAAAAAACDUBFgAAAAChJsACAAAAINQEWAAAAACEmgALAAAAgFATYAEAAAAQagIsAAAAAEJNgAUAAABAqAmwAAAAAAg1ARYAAAAAoSbAAgAAACDUBFgAAAAAhJoACwAAAIBQE2ABAAAAEGoCLAAAAABCTYAFAAAAQKgJsAAAAAAINQEWAAAAAKEmwAIAAAAg1ARYAAAAAISaAAsAAACAUBNgAQAAABBqAiwAAAAAQk2ABQAAAECoCbAAAAAACDUBFgAAAAChJsACAAAAINQEWAAAAACEmgALAAAAgFATYAEAAAAQagIsAAAAAEJNgAUAAABAqAmwAAAAAAg1ARYAAAAAoSbAAgAAACDUBFgAAAAAhJoACwAAAIBQE2ABAAAAEGoCLAAAAABCTYAFAAAAQKgJsAAAAAAINQEWAAAAAKEmwAIAAAAg1ARYAAAAAISaAAsAAACAUBNgAQAAABBqAiwAAAAAQk2ABQAAAECoCbAAAAAACDUBFgAAAAChJsACAAAAINQEWAAAAACEmgALAAAAgFATYAEAAAAQagIsAAAAAEJNgAUAAABAqAmwAAAAAAg1ARYAAAAAoSbAAgAAACDUBFgAAAAAhJoACwAAAIBQE2ABAAAAEGoCLAAAAABCTYAFAAAAQKgJsAAAAAAINQEWAAAAAKEmwAIAAAAg1ARYAAAAAISaAAsAAACAUBNgAQAAABBqAiwAAAAAQk2ABQAAAECoCbAAAAAACDUBFgAAAAChJsACAAAAINQEWAAAAACEmgALAAAAgFATYAEAAAAQagIsAAAAAEJNgAUAAABAqAmwAAAAAAg1ARYAAAAAoSbAAgAAACDUBFgAAAAAhJoACwAAAIBQE2ABAAAAEGoCLAAAAABCTYAFAAAAQKgJsAAAAAAINQEWAAAAAKEmwAIAAAAg1ARYAAAAAISaAAsAAACAUBNgAQAAABBqAiwAAAAAQk2ABQAAAECoCbAAAAAACDUBFgAAAAChJsACAAAAINQEWAAAAACEmgALAAAAgFATYAEAAAAQagIsAAAAAEJNgAUAAABAqAmwAAAAAAg1ARYAAAAAoSbAAgAAACDUBFgAAAAAhJoACwAAAIBQE2ABAAAAEGoCLAAAAABCTYAFAAAAQKgJsAAAAAAINQEWAAAAAKEmwAIAAAAg1ARYAAAAAISaAAsAAACAUBNgAQAAABBqAiwAAAAAQk2ABQAAAECoCbAAAAAACDUBFgAAAAChJsACAAAAINQEWAAAAACEmgALAAAAgFATYAEAAAAQagIsAAAAAEJNgAUAAABAqAmwAAAAAAg1ARYAAAAAoSbAAgAAACDUBFi0qqGhIdklAAAAAF1GLBaLxWKd0bIAi5bV1dV10jYHAAAAdEsNDQ11dXWd0XJqZzRKN1BVVZWamhoEQTQajUQiyS4HAAAACK/42Ku6urrq6urOaF+ARavKy8vT09PT09OTXQgAAAAQap2aXgUCLNpWU1NTU1OT7CoAAACAHs0cWAAAAACEmgALAAAAgFATYAEAAAAQagIsAAAAAEJNgAUAAABAqLkLIW3Jycnp06dPNCroPNHq6uqqqqoOHDjQxnO6/V9HJ4RKe/4cAAAAnSTSr1+/ZNfA8SssLAyCoLy8vDMaLykpCYKgpqYmFot1Rvu0IRqNpqampqambtu2rcUn9IS/jk4IlaP+OQAAgOOQkZERBEFKSkokEkl2La2KxWL19fV1dXV1dXXJqsEILFqWk5MTBEF1dXWyC+mhGhoa4rlMnz59Dh8+3OS3PeSvoxNCpe0/BwAAcKyi0WhmZmZtbW0kEq2tTVow1B6RSCQSiaSn90pLS6uqqkrKGALX3dCyPn361NTUJLuKnq6uri4e0zTRo/46OiFUWvtzAAAAxyozM7OmpjYWCxoaGpJdy1HEYrGGhob48KusrKyk1CDAomXRaNRlWUkXi8VanN2pR/11dEKotPbnAAAAjklGRkZtbW2yqzhm9fUNdXX1vXr1OvH/tM8hAAAAACdaJNJVM5mkfKvdVTsLAAAAoItKSUkJ/5WDLWpoaEhKgGUSdwAAAIATqu17Dtan96lLy61P6d0QpAQn8uaEsSAa1KfUH0mtPZRS0+q9m5Jyw0QBFgAAAEAoxKKp1ZkDaoLesYYgSMadCeuDlNogO5KenZ5+pFfl9khDWG6PKMACepZIJJKdnZ2bmxuNRhsaGg4dOlReXm4+eAAAIOli0dTKrEG19alBkORPKLGGoCrIqM8alFmxJSQZlgCLzhKJRIQChE0kEunfv//kyZPT09Pr6+tTUlJqampWrly5Y8cOmysAAJBc1Zn9a+tSkp5eJdTWpVRn9s8o35rsQoJAgEUnycjIyMzMrKysrKqqSnYtEARBkJaW1qtXr169evXv3//w4cMrVqyITz04ZcqU/v37V1VVVVdXV1dXd8Ub2TZWXFx82223Pfjgg2vXrk12LQAAwDGoT8uujmWEJ72Kq45lpKVlp9SWt/Gc1NS0aDQSHGWyrlhDQ6yu7vg/cLkLIZ2ioKBgzJgxBQUFx/rCefPm5eTkNF8+fPjwO++88/TTT++I6oJRo0b96Ec/OvXUUzuktW7gy1/+8jnnnJPsKjpRJBIZMGDA1KlTp02bVlJSkpOTc/rpp48fP/7000/PyckpKSmZNm3a1KlTBwwY0P7JCPPy8r773e/26dPnuKu66qqrpk2bdtwvD1p6v+zbt+/xxx9v453S2lsMAABIrtq0nFh9LIgFofovVh+rTWvrE0R6eno0Gj1aehUEQSQajaanpx93/xiBRWdpOwi45ZZbRo8e3XjJ0qVLf/3rX7f45F69es2YMWPu3LnXXXddaWnp4cOt3gqhNRdeeGFlZeVf//rXIAgyMjKmTZt2++23X3/99Zs3b66oqGhnI4MHD77kkkuGDBlSU1OzdOnS55577lvf+taGDRsWLVqUeM7UqVPPPvvs//zP/wyCYMCAAZ/73OdGjRrVq1evAwcOvPzyyy+++OKxVt4hbrvttk984hNBEFRVVe3cuXPFihXLli1L3LF13LhxtbW18c5pp67YFZWVlbW1tampqRs3bkxJSUmMDayoqKivrx81alRtbW1lZWXi+aeeeuq111773e9+t7y8PAiCoqKi7373u3feeefu3buDIIhEIldeeeVjjz12TFtj4+0wCIInn3zyn//5n9evX79r166OWs1YLHbZZZc9/fTTHdUgAABwYtRHM2INbQ2/Gtc/f+on8v/POd+4656Hf/Hq+yeysNZ+lZqa1o7oqrFIamra8Y3DEmCRHPfcc08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alt="Monitoring ▸ Icon"></div>
+
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="ttl">Monitoring</div><div class="r tb"><div class="tab">Tổng quan</div><div class="tab">Bảo mật</div><div class="tab">MCP</div><div class="tab">Hành động</div><div class="tab">Agent</div><div class="tab">Agents Admin</div><div class="tab">Công cụ</div><div class="tab on">Icon</div></div><div class="c grow"><div class="r tb"><div class="ttl">Icon</div><div class="grow"></div><div class="btn">+ Thêm icon</div><div class="btn">Dán SVG</div><div class="btn">Xoá</div></div><div class="srchwrap"><div class="inp grow">🔍 Tìm icon theo tên…</div></div><div class="hd2">ICON TÍCH HỢP</div><div class="r wrap"><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">✛</div><span class="s">plus</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">✓</div><span class="s">check</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">✕</div><span class="s">close</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">✎</div><span class="s">edit</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">🗑</div><span class="s">trash</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">⟳</div><span class="s">refresh</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">🔍</div><span class="s">search</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">⚙</div><span class="s">settings</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">🤖</div><span class="s">robot</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">🛡</div><span class="s">shield</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">🔧</div><span class="s">wrench</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">★</div><span class="s">star</span></div></div><div class="hd2" style="margin-top:4px">ICON TÙY CHỈNH</div><div class="r wrap"><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">🧠</div><span class="s">brain</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">⌥</div><span class="s">code</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">☁</div><span class="s">cloud</span></div></div></div></div></div>
+<details class="ctl"><summary>Kiểm kê control — <b>4</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>Tìm icon có sẵn…</td><td class="mut">ô nhập</td><td><code>self._reload_builtin</code></td><td class="mut">ui\icons_admin_tab.py:43</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thêm tệp SVG</td><td class="mut">nút</td><td><code>self._add_icon</code></td><td class="mut">ui\icons_admin_tab.py:58</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Dán SVG</td><td class="mut">nút</td><td><code>self._add_from_svg_text</code></td><td class="mut">ui\icons_admin_tab.py:60</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xóa tùy chỉnh</td><td class="mut">nút</td><td><code>self._delete_icon</code></td><td class="mut">ui\icons_admin_tab.py:62</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Ô icon trong lưới hiện tại không có viền/hover rõ khi rê chuột hay khi đang chọn.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Ô tìm kiếm thêm icon kính lúp bên trái; mỗi ô icon có viền accent khi hover/chọn — cùng ngôn ngữ thẻ với Agent/Công cụ.</li></ul></div>
+</div></div></section><section class="sec" id="dialog-settings">
+<div class="hd"><b>17. Settings</b><span class="tag">ui/settings_dialog.py:26</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Thiết lập toàn app. Cuộn dọc, không mục lục.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" src="data:image/png;base64,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" 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" 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" alt="Settings"></div>
+<p class="rg"><b>5 nhóm</b>: Ngôn ngữ · Provider · Bảo mật (khoá mật khẩu) · Tham số · Routing</p>
+<div class="cap">Đề xuất — bố cục mới</div><div class="wf" id="setwf"><div class="main dlg"><div class="ttl">Cài đặt</div><div class="r grow"><div class="c w26 pane"><div class="li on" id="setl-chung">Chung<span class="s">ngôn ngữ · giao diện · khay</span></div><div class="li" id="setl-provider">AI Provider<span class="s">Ollama · qwen2.5-coder</span></div><div class="li" id="setl-sandbox">Bảo mật sandbox<span class="s">🔒 cần mở khoá</span></div><div class="li" id="setl-param">Tham số<span class="s">đính kèm · GraphRAG · giới hạn</span></div><div class="li" id="setl-routing">Auto Model Routing<span class="s">đang Tắt</span></div><div class="grow"></div></div><div class="c grow"><div id="setp-chung"><div class="frow"><span class="lbl">Ngôn ngữ hiển thị</span><div class="grow"></div><div class="seg" id="set-lang"><span data-v="en">English</span><span class="on" data-v="vi">Tiếng Việt</span><span data-v="ja">日本語</span></div></div><div class="frow"><span class="lbl">Giao diện</span><div class="grow"></div><div class="seg" id="set-theme"><span data-v="light">Sáng</span><span class="on" data-v="system">Hệ thống</span><span data-v="dark">Tối</span></div></div><div class="frow"><span class="lbl">Giữ chạy nền trong khay hệ thống khi đóng</span><div class="grow"></div><div class="tsw on"><i></i></div></div><div class="frow"><span class="lbl">Hiện thông báo khay khi tác vụ xong hoặc lỗi</span><div class="grow"></div><div class="tsw on"><i></i></div></div></div><div id="setp-provider" class="hide"><div class="lbl">Nhà cung cấp AI</div><div class="inp">Ollama (local models)</div><div class="lbl">Base URL</div><div class="inp">http://localhost:11434</div><div class="lbl">API Key</div><div class="inp">••••••••</div><div class="lbl">Model</div><div class="inp">qwen2.5-coder:7b <span class="s">⭳ Tải · ⚗ Test kết nối</span></div></div><div id="setp-sandbox" class="hide"><div class="r tb"><div class="inp grow">Nhập mật khẩu…</div><div class="btn">Unlock</div><span class="pill red">🔒 Locked</span></div><div class="frow"><span class="lbl">Xác nhận trước khi Cowork chạy lệnh</span><div class="grow"></div><div class="tsw"><i></i></div></div><div class="frow"><span class="lbl">Chặn mạng cho lệnh do agent chạy</span><div class="grow"></div><div class="tsw on"><i></i></div></div><div class="frow"><span class="lbl">Enable Agent Security (kiểm tra lệnh)</span><div class="grow"></div><div class="tsw on"><i></i></div></div><div class="frow"><span class="lbl">AI check commands</span><div class="grow"></div><div class="tsw"><i></i></div></div></div><div id="setp-param" class="hide"><div class="card"><div class="cap">Đính kèm</div><div class="frow"><span class="lbl">Số tệp tối đa</span><div class="grow"></div><div class="stp"><span class="sb" data-t="sp-files" data-d="-1">−</span><span class="sv" id="sp-files">20</span><span class="sb" data-t="sp-files" data-d="1">+</span></div><span class="s">tệp</span></div><div class="frow"><span class="lbl">Token tối đa mỗi tệp</span><div class="grow"></div><div class="stp"><span class="sb" data-t="sp-tokens" data-d="-5">−</span><span class="sv" id="sp-tokens">500</span><span class="sb" data-t="sp-tokens" data-d="5">+</span></div><span class="s">nghìn</span></div></div><div class="card"><div class="cap">Cấu trúc &amp; GraphRAG</div><div class="frow"><span class="lbl">Số node tối đa</span><div class="grow"></div><div class="stp"><span class="sb" data-t="sp-nodes" data-d="-1">−</span><span class="sv" id="sp-nodes">500</span><span class="sb" data-t="sp-nodes" data-d="1">+</span></div><span class="s">node</span></div><div class="frow"><span class="lbl">Số cạnh tối đa</span><div class="grow"></div><div class="stp"><span class="sb" data-t="sp-edges" data-d="-1">−</span><span class="sv" id="sp-edges">500</span><span class="sb" data-t="sp-edges" data-d="1">+</span></div><span class="s">cạnh</span></div></div><div class="card"><div class="cap">Giới hạn sandbox</div><div class="frow"><span class="lbl">CPU</span><div class="grow"></div><b>Không giới hạn</b></div><div class="frow"><span class="lbl">Bộ nhớ</span><div class="grow"></div><b>2.048 MB</b></div><div class="frow"><span class="lbl">Disk I/O</span><div class="grow"></div><b>2.048 MB</b></div></div></div><div id="setp-routing" class="hide"><div class="frow"><span class="lbl">Chế độ</span><div class="grow"></div><div class="seg" id="set-rmode"><span class="on" data-v="off">Tắt</span><span data-v="auto">Auto</span><span data-v="manual">Manual</span></div></div><div class="frow"><span class="lbl">Chính sách</span><div class="grow"></div><div class="seg" id="set-rpolicy"><span data-v="quality">Chất lượng</span><span data-v="cost">Chi phí</span><span data-v="latency">Độ trễ</span><span class="on" data-v="balanced">Cân bằng</span></div></div><div class="frow"><span class="lbl">Ngưỡng tăng điểm tối thiểu</span><div class="grow"></div><div class="stp"><span class="sb" data-t="sp-mingain" data-d="-1">−</span><span class="sv" id="sp-mingain">5</span><span class="sb" data-t="sp-mingain" data-d="1">+</span></div><span class="s">%</span></div><div class="frow"><span class="lbl">Timeout xác nhận</span><div class="grow"></div><div class="stp"><span class="sb" data-t="sp-timeout" data-d="-1">−</span><span class="sv" id="sp-timeout">60</span><span class="sb" data-t="sp-timeout" data-d="1">+</span></div><span class="s">giây</span></div><div class="frow"><span class="lbl">Chu kỳ đánh giá lại</span><div class="grow"></div><div class="stp"><span class="sb" data-t="sp-interval" data-d="-1">−</span><span class="sv" id="sp-interval">24</span><span class="sb" data-t="sp-interval" data-d="1">+</span></div><span class="s">giờ</span></div><div class="frow"><span class="lbl">Đồng thời mỗi provider</span><div class="grow"></div><div class="stp"><span class="sb" data-t="sp-concurrency" data-d="-1">−</span><span class="sv" id="sp-concurrency">2</span><span class="sb" data-t="sp-concurrency" data-d="1">+</span></div></div><div class="lbl">Judge model</div><div class="inp">(để trống · dùng model đang chọn)</div><div class="r tb"><div class="btn">⟳ Đánh giá lại ngay</div></div></div><div class="grow"></div><div class="r tb end"><div class="btn">Huỷ</div><div class="btn pri">Lưu</div></div></div></div></div></div>
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+<details class="ctl"><summary>Kiểm kê control — <b>23</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>Giữ chạy nền trong khay hệ thống khi đóng cửa sổ</td><td class="mut">ô tick</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:56</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Hiện thông báo khay hệ thống khi tác vụ xong hoặc lỗi</td><td class="mut">ô tick</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:59</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._on_provider_edit_changed</code></td><td class="mut">ui\settings_dialog.py:70</td><td class="mv">→ menu tài khoản ở đáy sidebar</td></tr><tr><td>conf.get('base_url', </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:77</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td></td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:103</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Unlock</td><td class="mut">nút</td><td><code>self._sandbox_unlock</code></td><td class="mut">ui\settings_dialog.py:107</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xác nhận trước khi Cowork chạy lệnh</td><td class="mut">ô tick</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:121</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Chặn mạng cho lệnh do agent chạy</td><td class="mut">ô tick</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:126</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Enable Agent Security (command validation</td><td class="mut">ô tick</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:136</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>AI check commands</td><td class="mut">ô tick</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:142</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Số tệp tối đa đính kèm vào một tin nhắn.</td><td class="mut">ô số</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:178</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Giới hạn nội dung mỗi tệp đính kèm đưa vào prompt; phần vượt</td><td class="mut">ô số</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:183</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Giới hạn số node trong đồ thị Cấu trúc (0 = không giới hạn).</td><td class="mut">ô số</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:194</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Giới hạn số cạnh trong đồ thị Cấu trúc (0 = không giới hạn).</td><td class="mut">ô số</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:200</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>routing.get('judge_model', </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:279</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Đánh giá lại ngay</td><td class="mut">nút</td><td><code>self._routing_reassess_now</code></td><td class="mut">ui\settings_dialog.py:282</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>QDialogButtonBox.Save | QDialogButtonBox.Cancel</td><td class="mut">nút hộp thoại</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:299</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>value</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:316</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tải</td><td class="mut">nút</td><td><code>lambda: self._load_models(self.provider_combo.currentData(), combo, st</code></td><td class="mut">ui\settings_dialog.py:368</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Test kết nối</td><td class="mut">nút</td><td><code>lambda: self._test_connection(self.provider_combo.currentData(), statu</code></td><td class="mut">ui\settings_dialog.py:374</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>code</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\settings_dialog.py:496</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Copy mã</td><td class="mut">nút</td><td><code>lambda: QGuiApplication.clipboard().setText(code)</code></td><td class="mut">ui\settings_dialog.py:503</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mở link</td><td class="mut">nút</td><td><code>lambda: webbrowser.open(flow.get('verification_uri_complete') or url)</code></td><td class="mut">ui\settings_dialog.py:506</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Năm group cuộn dọc, không mục lục.</li><li>Sandbox khoá bằng <b>mật khẩu hard-code</b> (<code>settings_dialog.py:115</code>).</li><li>Provider/Ngôn ngữ/Giao diện ở top bar, tách khỏi Settings.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Thêm cột mục lục bên trái; gom Ngôn ngữ/Giao diện vào nhóm Chung (AI Provider vẫn là nhóm riêng như hiện tại, không gộp).</li><li>Đổi cách hiển thị field theo đúng loại dữ liệu: checkbox ☑/☐ → toggle switch, dropdown ít lựa chọn (2–4 giá trị) → segmented control, số nhập tay → stepper, 3 nhóm con trong Tham số → gom thành card — vẫn đúng field/giá trị mặc định thật từ <code>ui/settings_dialog.py</code>, chỉ đổi cách trình bày chứ không đổi dữ liệu.</li></ul></div>
+</div></div></section><section class="sec" id="dialog-task-editor">
+<div class="hd"><b>18. Task Editor</b><span class="tag">ui/task_editor_dialog.py:55</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Khai báo tác vụ hẹn giờ: nội dung, lịch lặp, phụ thuộc, thông báo.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" src="data:image/png;base64,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" 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ZmY0cOXLcuHEdtAYAAG+MbkxIKpVqx44dAQEB3377bUJCQnh4OFUeExMzderUY8eOOTg4FBUV6awll8v37Nkzffr0+Pj46dOnX7lypePWAADgzWCA+5DeMLgPCQBAH8y6DwkAAOB1ISEBAAAjICEBAAAjICEBAAAjICEBAAAjICEBAAAjICEBAAAjICEBAAAjICHpUqvVeLEFAEDPw5FXV0tLC5fLNXYUAAB9DhKSrqamJuqR5CwWy9ixAAD0DhwOx8RE39dHdOPrJ3ovmUzG5XLNzc2RkwAAOqOlpUWtVjc3N+vTCBJS21QqFfXGJgAA6Bk4ZQcAAIyAhAQAAIyAhAQAAIyAhAQAAIyAhAQAAIyAWXZtMzExMTU1xbRvAOhdqLnXSqWygzpWVlaWlpaGfSRNc3OzQqGoqanRpxEkpDZYWFio1erGxkaNRmPsWAAAXgObzeZyuQKBQCaTtVnB0dGREKJQKAx7fGOz2aampno2goSky8TEpKWlRaFQGDsQAIDXplarm5qaNBqNiYlJ69tUraysCCFNTU3d0W/Hw7LOwDUkXaampt3x1wIA6DEqlarN8YqlpaX+aaP7ICHpYrFYOFMHAL2aRqNp8xI4m81m8vENCQkAABgBCQkAABgBCQkAABgBCQkAANrFYrF67I5MhiakgICAo0ePikQiYwcCANB3WVlZDR48uF+/fj3TXQ8lJD6f/9VXX4WFhXWyfkZGxu3bt729vbs1KgAA6MDgwYNnz549aNCgnulO34S0d+/effv26RQKhcLk5OT58+fTJaGhoTExMXK5fNSoUW228957782YMYNetLOzCwwMLCoq0jM8AADoGoFAYGlpKZfLBQKBQCDogR4N8KQGa2trX1/f3NxcuiQoKKihoUG7TmxsLCEkMTGxvUacnJxKS0vpxZcvXy5evFj/2AAA4HWZm5tbWVk5Ozubm5vn5+dbW1t7eXk9e/asrq6usbGx+/o1QELKzMycN28enZD4fL6/v792fhIKhcuXLx82bJhKpbpx40ZSUpLO28HFYvGIESMIIcuWLfvoo4/GjRs3f/58oVBYVFS0f/9+qVSqf5AAANAZfD5/5MiRLi4uHA4nPz+/uLh48ODBXl5egwcPfvbs2b179+RyeTd1bYBrSJmZmS4uLi4uLtTizJkzb968ST8Ljs1mR0RElJeXr1mzJjIy0tPTc8GCBTotbN26NTU1NT4+PiQkpKGhwdXVdd++fdQFp7lz5+ofIQAAdBI1rU4mk9XW1qpUKi6Xq1QqpVIp9bTWbp1xZ4CE1NzcfPHiRSpzcDic2bNnnz9/nv7Ww8ODx+OdPHlSJpNVVFQkJCQEBAR03GB8fHxxcXFDQ0NGRoaTk5P+EQIAQCc1Njbevn371q1bFRUVzs7Ow4cPd3Z2rqiouHXr1u3bt5l+yo4Qcvny5ejoaGtr65EjRz558uTly5f0V/3796+oqKCfnvTixQsbG5uOW5swYcLkyZOdnZ3t7Ozy8vIMEiEAAHRSc3NzdXV1Y2Ojqanp0KFDCwoKCgsL5XK5jY2NXC7vvpchGCYhNTY2pqenz5o1a+zYsUeOHNH+qrq62tHRkX5iqb29vXa6am3o0KFLliyJjY0tLS318fEZP368QSIEAIDXolAoGhsbuVxuY2OjQqEwNzcfNWpUQ0NDdnZ2Nz0y3GD3If30009z5sxpamp69OiRdjk1dXvRokUCgcDe3n7JkiVXrlxpvTp16YjNZotEIqlUWlxcTAjx9/c3VHgAAPBaNBpNSUlJSkpKSUlJv379xo4dO3jw4GHDhk2ZMsXEpFvepWewhFRVVZWXl3fu3Dmd8paWlqioKDc3t8OHD3/xxRdZWVkXLlxovfrVq1d9fHzi4uJycnKkUml0dPT69etzcnIMFR4AALyuuro6iURSV1cnl8tbWloIIVwu9+XLl2q1uju6Y7m6unZHu71XB6/+BQDoLdo8lLm4uOjcJNpJLBaLz+dPnz796dOnhYWF7b3F9NWrV4QQX19fnXLtG4E6gFeYAwDAH9BoNI2Njb/88otKpWr9ZnRDQUICAIBO6b5bYikMfdo3AAD0NUhIAADACEhIAADACEhIAADACEhIAAB9RXNzM5vN3MM+cyMDAADDksvlXC7X2FG0CwkJAKCvqK2t5XA4XC7X4G+RYLPZ+qc63IcEANCHPHv2zNLS0srKyrDn7pqbm/W/SwkJCQCgb6mvr6+vrzd2FG3AKTsAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCRdarWazcZuAYBejMPhtLS0GDuK14Yjr66WlhYul2vsKAAAuo7FYqnVamNH8dqQkHQ1NTVxuVwej8disYwdCwDA6+FwOCYmJqampk1NTcaO5bWZGDsAJpLJZFwu19zcHDkJAHqXlpYWtVrd0NBg7EC6AgmpbSqVSqVSGTsKAIA+BKfsAACAEZCQAACAEZCQAACAEZCQAACAEZCQAACAETDLrm0CgcDKyorD4Rg7EACAXkCpVCoUCqlUqk8jSEhtcHBwUKlUlZWVvfHZGwAAPY/H41lYWOjZCBKSLoFAoFKpqqurjR0IAECvoVQqlUqlno3gGpIuKyur2tpaY0cBANDnICHp6qVPyQUA6O2QkAAAgBGQkAAAgBGQkAAAgBGQkAAAgBGQkAAAgBEYlJCSkpL69etn7CgAAMA49EpIGzduDAkJoRdDQkK+/vprenHMmDH/9V//pU/7AADQd+iVkH777beRI0fSi35+fv3797e1taUWfX19s7Oz9YquD2hvXMjn87/66quwsLBu7d3W1nb37t1WVlbd1D5GvQDQeXolpKysLA8PDz6fTwgRCAT29vZ5eXm+vr7Ut76+vvfu3SOECIXCDRs2HD9+PDY2dunSpVwul6qQlJQ0ZcqU+Pj42bNnaze7cuXKrVu3mpiYzJ8//9ixY4mJicuWLaNXGTVq1Ndff52UlLRp0yZLS0uqPDAw8ODBg999951YLLa2tqYKLS0tP/nkk2+//TY+Pn7ChAlUJJs3b05MTNy9e/dbb72lz7a/rr17944YMYL6vGjRoqioKHo/tCk0NDQmJkYul48aNaqbQmKxWGFhYdHR0XV1dd3UBQBA5+mVkGpra58+fTp8+HBCyKhRo/Ly8nJzc6kDqFAotLGxyc/PZ7PZERER5eXla9asiYyM9PT0XLBgAd2Cr6/v6tWrL126RJcEBQV5e3vv2rXrrbfemjlz5oYNG0JDQ+Pj4+kKs2fP3r17d3h4OCFk6dKlVKGrq+u+ffuo8cTcuXOpwo0bNzY1NX366afbtm0zNTWlInn48OHKlSsvXLiwbt06NtsIl9CmTp06duzYnTt3qlSqDqrFxsaWlZUlJiZ23yhTo9Hs2rXr6dOn3dQ+AMBr0ffhqr/99pufn9+dO3f8/Pzu3btXUFCwaNEiNpvt6+v74MGD5uZmLy8vHo938uRJjUYjk8kSEhLWrl178uRJavVLly41NjbSrfn5+QUHB3/++eeNjY1qtZrP59vY2NTU1Gj3eObMmRcvXhBCTpw48dVXX1GFdMbKyMgYPXo0IWTIkCF2dnZisbilpUUqlUokEiqS5ORkQsj169cXLlw4YMCAsrIyPffAaxk+fPiCBQsiIyNlMhld6OHhERoaamtrm56efvToUUKIUChcvnz5sGHDVCrVjRs3kpKSqOyVlJR04MCB0NDQfv36Xb16ldpqFxeX8PBwNze34uLiwsJCgUBw6NAhnX4tLS2XLVs2cuRIFosVGxubmZnZXhe0zz//PDMzMy0tjRCyZ8+eq1evXrx4kRASFxf32WefEULaizA2NnbJkiXff/+99u+MlStXuri4bN++fe7cuUFBQWZmZqmpqVT8SUlJ//rXvz788EN7e/v79+9HR0fX19cTQgIDA+fPny8UCouKivbv30891r7NDQkPD/fy8nr+/HlMTIxEIumGvxsA9AR9hwj37t3z9fWlMlBOTk5VVVVdXZ2bmxt9vq5///4VFRUajYaq/+LFCxsbG3r1qqoq7dZCQ0MvXLjw6tUrQsiTJ08SExM3bdokFosdHR3pOpWVldQHqVRqbm7OYrEIIRMmTNi0adM333yzatUqExMTQoiDg0NZWZn2U+n69+/v5OR0+v9xdHSkL3f1DCpz7Ny5U+dR4oGBgWKxePPmzf7+/t7e3h2PKQMCArZs2RIZGTlt2jRPT082m71+/frc3NwVK1YkJCRMnjy5za7bHCy21wUlOzvbx8eHEGJtbW1jY0N9HjBgQH19fU1NDUa9AGBw+v7vffLkCY/HCwgIqKyspH7YZmdnjxw5cvjw4dS5purqakdHRyptEELs7e1fvnxJr67zGNODBw8uWLDA29ubWkxJSQkPDy8oKNiwYQNdh75u5OLi8vvvv2s0mqFDhy5ZsiQlJWXbtm3UCIMQUldX5+DgoN14bW3t48ePQ7Tk5ubqufmv5d13333w4EHrMdmpU6dqampKSkpycnIGDhzo4eFBjSllMllFRUVCQkJAQABd+cyZM7W1tRKJJCcnZ9CgQe7u7lwuNzk5uaGhoaioKDU1tXW/1GDx2LFj1EgxLS2t4y4o2dnZ9MnYK1euuLu7s1gsb2/vnJycjldvc9QbFRWlPerV6Ysa9dbV1Z04cYIa4BJC4uPji4uLGxoaMjIynJycOtiQ5ORkhUJx/fp1Fos1YMCA1/27AABD6HvKTqPR3Lt3709/+lN6ejpVkp2dvXLlyrq6ut9//50QUlRURAhZtGjRuXPnLCwslixZcuXKlfZak0gk0dHRn3322ZYtW6gDt0ajkUgk/v7+dJ1FixYdPXqUx+MtXbr06tWrhBCRSCSVSouLi01MTPz9/alzRwUFBWw2e/HixT/++KODg4Ozs/ONGzdsbGxmzZqVnp4ul8u7vMmnT5/uTDXtCfGUhISERYsWzZ49W3v0QLSGiQ0NDaampp0cU8pkMjMzM5FIVF5eTleur69vfbhvc7DYQReUiooKlUrl6Ojo5+d35swZLy8vV1fX4cOHp6amvu6o98yZMzqj3vLy8qNHj1ZUVFB1Wo96NRrNhAkTJk+e7OzsbGdnl5eX196GUKNeusTW1lY75Xf5jwUAPc8AL+jLysoKDAykr73n5+fb2trSWaelpSUqKiosLOzw4cP19fUpKSkXLlzooLW7d++eOnVqy5Yt//3f/71y5Uo+n//s2TPtiyLZ2dl79uzhcDgZGRlnz54lhNy+fXvSpEnR0dGlpaWZmZnDhg0jhKhUKqrfI0eO1NTUHDp0SKVS7dixIywsbOnSpUql8tatWzExMV3Y3i4fvOrr67/66qsvv/yypqbm9u3b7VWjx5TUEV9nTKlDJpMJhUJ6USQSta7TerDYyS5ycnKGDx/u7OxcUlKSm5vr4+MzePDggwcPuru7d7B661Hv3//+9+Li4vz8fEJISkpKWlpaSEjIhg0b1q1bR9WxtLSk3kGlM+qNjY0tLS318fEZP358mxtCjXo3btzY3v5BpgHoRQyQkG7duqX9316lUi1evFi7QmVlZVRUVOsVdarRi+fPnz9//jwh5Ndff2291t27d3/55RftEoVC8eWXX9KLP/74I/WhoqJi27Zt2jUlEklEREQntqm7PH/+fO/evZs2baqtraXGjpYqpVsAACAASURBVK291piysLBQKBS+88471Pmr8ePH5+Tk6NRpPVjMyMjoTBc5OTmLFi169OgRISQ3N3f16tXUsOnNG/UCABPgCnBPe/DgwbfffvvPf/6zvasd1JjSzc3t8OHDX3zxRVZWVgdjSrlcvnv37hkzZsTFxc2YMSMtLa2pqUmnDjVYHDx48JEjR9auXfvy5ctOdnH//n0nJydqcsrTp0+FQiGV7V4rQqI16p00adLx48dPnjz5wQcftB717ty5s7CwkB71SqXS6Ojo9evX0ym29YZQo96AgIBvv/02ISGBmhYBAL0Uy9XV1dgxvIakpKTVq1d36yvGXVxcenguuAF98sknxcXF1Piyt+iBvykA9CT68Qi0Ts4g62UjpMWLF+PI1SYzM7MpU6aMGTPmxo0bxo4FAKArDHANCYxr+/btbm5uhJCSkhJqxoSxIwIA6IpedsquB/TqU3YAAEbXV07ZAQDAmwoJCQAAGAEJCQAAGAEJSZdSqeTxeMaOAgCgz0FC0qVQKMzNzY0dBQBAn4OEpEsqlQoEAmtraw6HY+xYAAB6Bx6PZ2FhoWcjuA+pDc+ePaPeyI6cBADQGUqlUqFQ6NkIElLbZDKZ9ktdAQCgu+GUHQAAMAISEgAAMAISEgAAMAISEgAAMAISEgAAMAJm2bVNIBBYWVlh2jcAQGdQ076lUqk+jSAhtcHBwUGlUlVWVra0tBg7FgCAXgA3xnYLgUCgUqmqq6uNHQgAQK+hVCqVSqWejeAaki4rKyu8JR0AoOchIenicDg4UwcA0POQkAAAgBGQkAAAgBGQkAAAgBGQkAAAgBGQkAAAgBG6KyElJSX169evmxoHAIA3jwFujB00aNCf//xnb29vDofz4MGDI0eO1NTU6N8sAAD0KfqOkHx9fbdu3VpUVLRhw4a//e1vd+7cGTp0qEEig94II2MA6DK9RkhcLnfNmjVxcXHp6elUydWrV+lvPTw8QkNDbW1t09PTjx49SggJDAycP3++UCgsKirav3+/VCqNjIy8devWlStXCCF8Pv/YsWN//etfe8u7w1esWDFx4sSwsDD6Rtq9e/cmJCTk5eX1QO/vvfdeQ0PDL7/80vqr999/v7Gx8fz588TY49cPPvhAJpNRkQAAdEyvEdLQoUNZLBadjXQEBgaKxeLNmzf7+/t7e3sTQlxdXfft2xcWFkYImTt3LiHk+vXr48ePp+qPGzcuJyent2QjLpc7YcKE8vLy0aNHGyUAJycnU1PT1uWOjo5vv/32hQsXCAPGrz/88ENgYKBQKOzJTgGgl9JrhGRnZ1dRUdHet6dOnaqpqampqcnJyRk4cGB+fn58fDz1VUZGBnUcv3379ooVKwQCgUwmmzBhQpu/95lp7NixEonkzp0706ZNu337dgc1W48LCSEuLi7h4eFubm7FxcWFhYUCgeDQoUOEEKFQGB4e7uXl9fz585iYGIlEQghJSko6cOBAaGhov379rl69Gh8fLxaLR4wYQQhZtmzZRx991NDQQHcXFBT0008/aTSaDsavQqFw+fLlw4YNU6lUN27cSEpKUqlUn3/+eWZmZlpaGiFkz549V69evXjxIiEkLi7us88+I4S0XoWKLTY2dsmSJd9///2lS5foMFauXOni4rJ9+/bLly/PmTMnMTHRgDsfAN5Ieo2QGhsbO/jxW1VVRX1oaGigfstPmDBh06ZN33zzzapVq0xMTAghCoUiKytr9OjRFhYWgwYNunfvnj7x9KTp06ffunXr1q1bvr6+HY8AWo8L2Wz2+vXrc3NzV6xYkZCQMHnyZKomm82OiIh4+PDhypUrL1y4sG7dOjb7f/9AAQEBW7ZsiYyMnDZtmqen59atW1NTU+Pj40NCQrSzESHE19c3OzubtD9+pXopLy9fs2ZNZGSkp6fnggULCCHZ2dk+Pj6EEGtraxsbG+rzgAED6uvra2pq2lyF7nH16tXa2SgoKMjb23vXrl3Nzc1ZWVmjRo3q2k4GgD5Fr4SUn59va2tL/VT/Q0OHDl2yZElKSsq2bduoS0qU9PT08ePHjx079ubNm73lqaYikWjYsGF37typq6srLCycMmVKB5Xj4+OLi4sbGhoyMjKcnJwIIe7u7lwuNzk5uaGhoaioKDU1larp4eHB4/GSk5MVCsX169dZLNaAAQOor86cOVNbWyuRSHJycgYNGtReX1wul8fjUSmqvfEr1cvJkydlMllFRUVCQkJAQAAhJDs7e/jw4YSQUaNGXblyxd3dncVieXt75+TktLcK5dKlS42NjfSin59fcHBwVFQUVVhVVWVra9u5/QoAfZpep+zq6uq+//77devWHT9+PDs7m8VijRs3TiaT3bhxo3VlkUgklUqLi4tNTEz8/f2pEz6EkNzc3FWrVpmamiYkJOgTTE+aOnVqUVFRXV0dIeTmzZvz5s07c+aMRqNps/KECRMmT57s7OxsZ2dHzXcQiUTl5eV0/fr6ehsbG0JI//79nZycTp8+Ta9ra2tbVlZGtIabMpnMzMysvcDMzc3pAVN749f+/ftXVFTQvb948YLqvaKiQqVSOTo6+vn5nTlzxsvLy9XVdfjw4ampqe2tQqFjo4SGhp45c+bVq1d0iVKpNDU1bWpqai9sAACi/31IZ8+effXqVXBw8N/+9rf6+vrffvutvasFt2/fnjRpUnR0dGlpaWZm5rBhw6hytVp9584dHx+fkpISPYPpGWw2OzAw0M7OTjtz+Pj43L9/v3VlalwYGxtbWlrq4+NDzeCQyWTaqUIkElEfamtrHz9+vHHjxi7HJpfL+Xw+9Zkev+rM+quurnZ0dGSxWFSCsbe3f/nyJfVVTk7O8OHDnZ2dS0pKcnNzfXx8Bg8efPDgQXd39/ZWIYTojGsPHjz497//vbi4OD8/nypBNgKAzjDAjbHXr1+/fv26TuHixYvpz4cPH6Y+fPnll3Thjz/+SH82NTWlrqX3CiNGjBAIBB9++CF9nuof//jH9OnT20xIbY4LCwsLhULhO++8k5aW5uHhMX78+JycHKrcxsZm1qxZ6enpcrm84zAaGhpcXV3ZbLZaraYLqTc2mpmZKRSK9savt27dIoQsWrTo3LlzFhYWS5YsoabdE0JycnIWLVr06NEjQkhubu7q1aupYVNRUVF7q7QmkUiio6M/++yzLVu2lJWVCYVCvPAQADqjp59lZ2tru2vXLu2SYcOGjR079tq1az0cSZdNmzbtl19+0b5qcurUqXHjxgkEgtaVb9++LZVKo6Oj169fT2UdQohcLt+9e/eMGTPi4uJmzJiRlpZGDSBUKtWOHTsCAgK+/fbbhISE8PDwDsK4evWqj49PXFyczhm83NxcehLB2bNn4+Pjg4KCjhw5smfPnkGDBuXk5LS0tERFRbm5uR0+fPiLL77Iysqi5ogTQu7fv+/k5ERNLXn69KlQKKRi7mCVNt29e/fUqVNbtmwRCoV+fn7UJAsAgI6xXF1djdj9unXrvLy8Dh06RB+sjc7FxYW6bNNjPvnkk+LiYkPdPUpNKI+IiDBIa3pis9l79uzZuXPn77//buxYAIDpDHDKTh9ff/21cQMwLjMzs/Hjx48ZM+bEiROGarOsrCwvL2/OnDnUXUTGFRIScu3aNWQjAOgMI4+QGKhnRkjbt293c3MjhJSUlJw4caKwsLC7ewQAYDgkJF09f8oOAAAIXtAHAAAMgYQEAACMgIQEAACMgISkS6lU8ng8Y0cBANDnICHpUigU5ubmxo4CAKDPQULSJZVKBQKBtbU1h8MxdiwAAL0Dj8ezsLDQsxEj3xjLTM+ePRMIBPb29shJAACdoVQqFQqFno0gIbVNJpP1lpepAwC8GXDKDgAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAGz7NomEAisrKww7RsAoDOoad9SqVSfRpCQ2uDg4KBSqSorK1taWowdCwBAL4AbY7uFQCBQqVTV1dXGDgQAoNdQKpVKpVLPRnANSZeVlVVtba2xowAA6HOQkHRxOBycqQMA6HlISAAAwAhISAAAwAhISAAAwAhISAAAwAhISAAAwAgMSkhsNnv//v12dnY65cHBwR9//LFRQgIAgB6j742xe/fuHTRokEajqa6uvnbt2vfff69Wq7vWlFqtXrt2rZ7xAABAL2WAEdLWrVv//Oc/79y5c8KECbNnz9a/wT5r1KhRH374oYWFxfbt201MXvu3Aj2UbG+sSUtKSurXr59esXbaHwYDAEAxzCm7lpYWiURy6dIlX19fQkhSUtKUKVPi4+Op/CQUCjds2HD8+PHY2NilS5dyuVxCiFgsnj59OrW6UChMSEjgcrn0gVIkEonF4qSkpB07dgiFQrojoVC4efPmxMTE3bt3v/XWW1ShTnfMtHfv3n379ukUCoXC5OTk+fPnU4u5ubnOzs5HjhzJzMxsbm7ufONLliw5ffr0smXLpk2bNn/+fGqsWVVVpU/A77//fnBwMCFkyJAhYrE4MTExLi5u4cKFHazy3nvvzZgxQ+ezQYIhhHzwwQdUPADwpjLkNSQul9vU1ER99vX1Xb169aVLl9hsdkRERHl5+Zo1ayIjIz09PRcsWEAIycjIGD9+PFV5woQJN2/eVKlU/xsTmx0REVFQUBAWFnb8+HF/f3/t8ocPH65cufLChQvr1q1js9k63RlwcwzO2tqaSti0oKCghoYGelGtVu/YsSM0NPTixYuv1XJCQkJISEh8fHxqaurZs2f1D9XR0fHtt9++cOGChYWFWCxOTU1dvnz5li1brK2tO1jLycnJ1NS09WeD+OGHHwIDA7V/nQDAG8YwD1c1MTHx8PAICgqKiYmhSi5dutTY2EgI8fDw4PF4J0+e1Gg0MpksISFh7dq1J0+evHXr1ooVKywsLBoaGiZOnJiQkEC35u7uzuFwkpOTCSFFRUUpKSm2trZ0U1T59evXFy5cOGDAgLKyMu3umCwzM3PevHm5ubnUIp/P9/f3pxcJIYGBgfPnzxcKhUVFRfv376ce5G5pabls2bKRI0eyWKzY2NjMzEztNkUiUXh4uLu7e1lZWUFBAV2elJS0evXq2trapKSkAwcOhIaG9uvX7+rVq/Hx8VQFDw+P0NBQW1vb9PT0o0eP6oQaFBT0008/aTQaW1tbNpt98+bNlpaW58+fHzt2jKogFArDw8O9vLyeP38eExMjkUjEYvGIESMIIcuWLfv3v/89bNgw6vNHH3109OjRDoJxcXEJDw93c3MrLi4uLCwUCASHDh0ihMyfPz8oKMjMzCw1NTU+Pr6lpeXy5ctz5sxJTEw05F8FABjDACMksVj83XffrVq16sSJE/fu3aMK6VM0/fv3r6io0Gg01OKLFy9sbGwIIY2Njbm5uaNHj7azsxMIBNoHU5FIVFFRQS/KZDK6KScnp9P/j6OjI5WotLtjsszMTBcXFxcXF2px5syZN2/eVCgUdAVXV9d9+/aFhYURQubOnUsVbty4samp6dNPP922bZvOmIMeSq5ater48eOTJ09us9+AgIAtW7ZERkZOmzbN09OTKgwMDBSLxZs3b/b39/f29tZZxdfXNzs7mxBSXl5eVla2adMme3t7nX51hqpbt26lMkdISEhkZCT9WXsI2DoYNpu9fv363NzcFStWJCQk0Jvg7u4+c+bMDRs2hIaG0kk0Kytr1KhRnd/hANC7GGCEtHXr1ry8PJ1C+vmk1dXVjo6OLBaLykn29vYvX76kvvr111/9/f379euXkZGhva5MJtO+Bk4fCmtrax8/frxx48bWMfSKx6E2NzdfvHhx7ty5hw4d4nA4s2fPFovFf/rTn+gK9JE3IyNj9OjRhJAhQ4bY2dmJxeKWlhapVCqRSLQbbG8oqePMmTO1tbW1tbU5OTmDBg0qKioihJw6daqmpqampiYnJ2fgwIH5+fl0fS6Xy+PxqESiVqvFYvHChQv/9a9//frrrydOnGhsbOxgqPqHdIKhuktOTtZoNEVFRampqdTvFbVazefzbWxsampq6HWrqqra3EAAeDN0+/uQqMPfokWLzp07Z2FhsWTJkitXrlBf3b17d/ny5QKB4JtvvtFepbCw0MbGJigoKDU11cvLa9y4cTk5OXT5rFmz0tPT5XJ5d0fentOnT3emWkhISOvCy5cvR0dHW1tbjxw58smTJ3RupkyYMGHy5MnOzs52dnZUjndwcCgrK2sv3bYeSrZ5vKaHjzKZzMzMTKewoaFBZ+Blbm6uPaxpampKTEw8d+7csmXLtm/fvnHjRnqoStextbXtZELSCUYkEpWXl9MD6Pr6eiohPXnyJDExcdOmTeXl5UePHqU3U6lUmpqa0pcqiX5/DgBglG5PSC0tLVFRUWFhYYcPH66vr09JSblw4QL1lUqlys3NFYlElZWV2qvI5fI9e/aEhYWFhoZmZWVduXJFJBJR9Xfs2BEWFrZ06VKlUnnr1i36klVP0ufQ1tjYmJ6ePmvWrLFjxx45ckT7q6FDhy5ZsiQ2Nra0tNTHx4ea8VFXV+fg4NBea+0NJfUkl8v5fL5OYV1d3YEDB+Li4gYPHtzBUPV1yWQy7XkK1B+akpKSkpaWFhISsmHDhnXr1lGFOtmIINMAvEH0TUjr169vXbh48WLtxcrKyqioqDZXP3jwYJsr5ufnf/rpp63rSySSiIiIjrtjuJ9++mnPnj3Pnz9/9OiRdrlIJJJKpcXFxSYmJv7+/tScw4KCAjabvXjx4h9//NHBwcHZ2fnatWv0Ku0NJfVEvfbRzMxMoVAMGTLE19c3LS2tvr7ex8fH1NS0qqqqrq6uzaFqQ0ODq6srm81Wq9Xanzvoq7CwUCgUvvPOO2lpaR4eHuPHj9feBI1GI5FI6GmWQqEQ704EeIMx6NFBfURVVVVeXt65c+d0ym/fvi2VSqOjo9evX08flFUqVVRU1ODBg48cObJ27VqdU3zUUHL69Onx8fHTp0+nz4XqLzc3l5o+UFlZ6erqun///uPHjy9cuHDXrl3V1dXUUDUgIODbb79NSEgIDw+n1rp69aqPj09cXJyZmZn25w46ksvlu3fvnjFjRlxc3IwZM9LS0qgBkK+v7/Hjx0+ePPnBBx9Qk+4IIX5+ftRUCwB4I7FcXV2NHQOzuLi4dPJyyBuMmordejDa3T755JPi4uLz58+3/orNZu/Zs2fnzp2///57D0cFAD0DIyRmsbW13bVrl56NsFisvXv3WllZdbmFsrKyvLy8OXPm6BlJ55mZmU2ZMmXMmDE3btxos0JISMi1a9eQjQDeYBgh6cIIqYdt377dzc2NEFJSUnLixInCwkJjRwQAxoGEpAsJCQDAKHDKDgAAGAEJCQAAGAEJCQAAGAEJSZdSqeTxeMaOAgCgz0FC0qVQKMzNzY0dBQBAn4OEpEsqlQoEAmtraw6HY+xYAAB6Bx6PZ2FhoWcj3f5w1d7o2bNnAoHA3t4eOQkAoDOUSqX22926BgmpbTKZjH4xIAAA9ACcsgMAAEZAQgIAAEZAQgIAAEZAQgIAAEZAQgIAAEbALLu2CQQCKysrTPsGAKOjZlRLpVJjB9LtkJDa4ODgoFKpKisrW1pajB0LAPR11D2nzs7Oz549a6+OlZWVpaUlm220k17Nzc0KhaKmpkafRpCQdAkEApVKVV1dbexAAAAIIUSpVCqVSrVaLRAI2rw/0tHRkRCiUCg0Gk2PR/e/2Gy2qampvo0YJJQ3iZWVVW1trbGjAAD4P2QymZWVVetyqrCpqcmI2YgQolarlUqlno0gIenicDg4UwcATNPS0tLmVW1LS0v9MwFDICEBAPRibDbbuGMjA0JCAgAARkBCAgAARkBCAgAARsC0bwCAvo7FYlEfjHs5iikjpODg4I8//riDCklJSf369euxeMCI3nvvPQ8PD2NHAdCHCASCgQMHCgQC44ahb0Lau3fvvn37dAqFQmFycvL8+fP1bBz6prS0NGdn566ty+FwZs2a1ebtGgDQHktLy4EDB1paWho3DAOMkKytrX19fbVLgoKCGhoa9G+5j/Dw8BgzZkwHFUJCQvh8/us26+jo6Ovry+VyAwMDu/BAEToqFos1e/Zsc3Nzw4ZHWm24mZnZ3LlzfXx8fH19X758+VpNcTicmTNnjhs3zsPD48mTJ3V1dV2IpzNBvv3220OGDDFU4/r4w78LQK9jgGtImZmZ8+bNy83NpRb5fL6/vz+9SAgRCoXLly8fNmyYSqW6ceNGUlKSSqUihIhEovDwcA8Pj9LS0sLCQu364eHhXl5ez58/j4mJkUgk+gfZHWbOnMlisS5fvqxdyOfzg4ODHzx4UFBQYKzAKC9evBgyZEhwcPD9+/fVanXnV/T19fX09KQ+y2SygoKCS5cu6RkM9dd/+PBhe10QQkaMGJGRkeHl5fXgwYNXr17ptODl5aVSqZ48edJm+z4+Pnl5eSKRqL6+voPnfekvOzt74sSJL1++1D/n2drajhgxwsbGpqWl5fHjx/n5+e3V1N52+rNGo9H/70II8fHxaWpqevTokf5NAejJACOkzMxMFxcXFxcXanHmzJk3b95UKBT/2wGbHRERUV5evmbNmsjISE9PzwULFtDlBQUFYWFhx48f9/f3167/8OHDlStXXrhwYd26dUZ8XOAfMjMzc3Bw0C7x8PCg0q3RaTSajIyMs2fPPn78+LVWzM3NTU5OzsnJkUgkBkmrlpaWjo6OdDZqr4s7d+7U1tbeunWrdTaiGung4eu5ubkvXrzIy8vr1mxECFGr1RkZGfpnIy6XGxAQIJFIzp07l5aWZmZm1kFl7W3veD90QX5+vpubW9fGuNDbmZqa2tvbaz+DrnVJTzLACKm5ufnixYtz5849dOgQh8OZPXu2WCz+05/+RH3r4eHB4/FOnjyp0WhkMllCQsLatWtPnjzp7u7O4XCSk5MJIUVFRSkpKba2tnR9qvz69esLFy4cMGBAWVmZ/nF2h7KyMk9PzxcvXlCLXC7X1dWVXiSE8Pl8Pz+//v37q9Xqp0+fPnjwgHoukYWFxZgxY4RCoVQq/f333+n65ubmo0ePFgqFDQ0Nd+/e7eDRuSEhIb/99puPjw+Px8vKylKpVG+//TaXyy0oKKCGm2+99ZaXl5e5uXl1dfWtW7eonwimpqYjR450cHBgsVhZWVk6O5aKytbWtq6uTjuqkJCQn3/+WS6Xh4SE3Lp1a8SIEWZmZhKJJCcnh6pA/dg3MzMrLS3NysrSCdXd3Z3+Ad5eFx1v+JQpU0QiESFk5MiRZ8+enTdvXlZW1siRIx88ePD48eP2dnKb0VpZWY0ZM8bGxqampqaqqorH4929e1cn4Db/OqampsHBwadPn6ZDevToUXl5edd64fP5bDa7rKxMrVbX19ffu3evvf2gve3V1dVCoVB7P3Twd2kvhqFDh1L/+6iaarX6yZMn7u7ueXl57f1jgzeVqamph4eHVCqlLrLw+XxPT09ra+vc3Nympqaej8cw074vX74cHR1tbW09cuTIJ0+eaF8A6N+/f0VFBT2V8MWLFzY2NoQQkUhUUVFBV5PJZFRC6t+/v5OTE/3fnhBia2vL2IRUWlr6H//xH1ZWVtRPZjc3t7KyMvoHLIvF8vf3r6iouHv3Lo/HGz9+/NChQx88eECVl5aW3rhxw8rKauLEidSuYLFYkyZNevbsWWZm5oABA/7jP/7j4sWLHczCtLe3v3LliqOj49tvv/3q1avU1FQLC4spU6Y8ffpULpdbW1vfunVLJpNNnDjRw8ODOtxMnDixrq7u8uXLfD7f2tpau7X2otIxaNCga9eumZmZTZkypaysjHos+qBBg6if+VOnTi0tLdXONIQQBweH+/fvd9DFH274tWvXxowZI5VK6WGWg4PDhQsXVCpVezu5zWhfvXo1YcKEZ8+epaent7eNndwPHeyTzvRSX18vlUonTpyYnZ1NP7+5zf2gs+06++F1YxAKhYMHD75y5Qp9DoMQ8vz580mTJiEh9UGNjY3Pnj0bMmQIi8XSaDRubm6EkMePHzc2NholHsOcDWtsbExPT581a9bcuXN//PFH7a+qq6sdHR3pSe729vZUupLJZHZ2dnQ1e3t76kNtbe3jx49DtGhfjmIajUbz+PFj6nIIm80eMmSI9pFCKBSamJjcv39fqVTKZLKcnJxBgwYRQmxtbdlsdn5+PvWei+LiYro+h8PJz89vbm5++vQpIaTjSS8PHz5UqVSlpaVqtfrhw4dyubyqqqquro6au5mTk1NTU6NSqZ4+fUq1Y2tra25ufu/ePeq1JSUlJdqttReVjoKCArlcXlNTU1lZSf22IIQUFhYqFIra2trKykqdPMfhcNhsNnUa01AbTgh59OgR1WZ7O7nNaG1tbTkczoMHDzrYxk7uhw72SWd60Wg0aWlpUql0xowZo0eP5nK5XdsPrxuDWq02MTHROUHX2NiIyRF9CovFsrKysrCwaG5uLisre/LkiZmZmaOjI5/Pf/LkSVlZWXNzs4WFhZWVFX3o7hkGuzH2p59+2rNnz/Pnz3WujhYVFRFCFi1adO7cOQsLiyVLlly5coUQUlhYaGNjExQUlJqa6uXlNW7cOOo8A1U+a9as9PR0uVxuqPC6z+PHj4OCgu7fv29vb19TU6M9vdDCwqK+vp5ebGhooA4EAoFAu1ypVFLlFhYWlpaW77//Pv2Vubl5B5cr6DF1c3Mzva9UKpWJiQkhxMXFZeDAgdbW1ubm5pWVlYQQS0tLqVTa3gSH9qLSQXekVCrpsSD9e0q7kMLlcumLaobacO0e29vJbUYrEAi0m21zGzu5H7R1oRdCSEtLS15eXlFR0ahRo6ZOnZqSktKF/fC6MdTU1OTl5U2aNKm+vj4rK4ve0ubmZjznvu9gs9lubm5yubyoqIjKSSYmJm+99ZZEIqGyESHE2dmZz+ffv3+/J/9VGCwhVVVV5eXlZWZm6pS3tLRERUWFhYUdPny4DEj9pQAAIABJREFUvr4+JSXlwoULhBC5XL5nz56wsLDQ0NCsrKwrV65QJ8pVKtWOHTvCwsKWLl2qVCpv3boVExNjqCC7g0qlKikpcXNzGzBgAH0lgNLY2Kh9o5m5uTmVrpRKpfYPUgsLC+qDXC5/9epVSkqK/lHZ2dn5+vpmZWXV1dWJRCLqth6FQtHBjW/tRaUnOkF20IU+G97eTm6TTm5ocxvbC5I6ZNNH7Q6yVGd6oTU1Nd26devdd9+1sbEx4D+ADmIoLi4uKSnx8vKaMGECPUfUxMQE2ahP0X69LHUQq6yslMvl9M9HCwsLQx0EOk/fhLR+/Xr6s/YdsocPH6Y/V1ZWRkVFtV43Pz//008/bV0ukUgiIiJ0ChcvXqxnqN3n4cOHM2fOrKur03nPLLU4fPjwoqIiHo9HXWAjhPz+++98Pt/d3V0ikdjZ2Tk7O1PzIKqrq/l8/pAhQ0pKSqgfKV1mYWGhVCpramo4HI6rqyt1rKmqqmKz2SNGjCgsLLS0tLS0tNQ+a9deVHpqaWlhsVgmJibNzc36bLhSqbS2tqbOdGuXt7eT21RVVWVubt7xNrYXZEtLS319vYeHx6NHjwYNGtTBOa7O9CIUCkUikUQiUalUIpGIw+HI5fKmpqY294P2tre3H14rBo1GU1tbS5/b5PP52peUoC/QaDTap+Ool9JqV/jDf2PdAc+yM4DGxsYXL160nnlBTRH28/MLCgpSKpXFxcXUFabm5uYbN274+fmNGDGioqLiyZMn1C+RlpaWX3/91c/Pz9fXV61WP3v2rPUEsE569uzZwIEDg4KC6urqSktLqdFnS0tLenq6n59fcHCwQqHQaby9qPRXWVnp6OhInQro8oZLJBJ/f/933333/Pnz2uXt7eQ2qVSqX3/99e2336YCkEgk1MWbTu6H3377bezYsd7e3o8fP+7gJfed6UUmk3l4eMyZM4fNZtfW1t64cYM6CdnmftDe9vb2QydjcHBwGD9+PJfLlUqld+7coSo7Ojr+4cQNeJNoNJqamhpvb2/SzsPrWCyWm5tbfn5+D+cklqura0/2x3wuLi6MndTXS1Hzj1NTU40diK5x48bV1NR0kMB6US9djoHFYs2YMePXX3811sQq6Lw2j04uLi5deDKOmZnZ4MGDbWxs2py2QGWsJ0+evO7Quc2bCDsPI6Q3mZmZmb+//y+//KJnOzNnzrx+/XqX70uoq6urrKwcMmTI696i231MTEycnZ2dnJy6dQ5nz/SiZwxDhw59+vQpslFfo1AoCgoKOphEp9FoXusJLwaBEZIujJDebFOnTrW1taUuouTl5VVVVfXeXpgfAxiWAUdI3QQjJIDXkJaW9sb0wvwYAF4Lcx8TBwAAfQoSEgAAMAISEgBAL9bc3MzkVyK8ljdkMwxIqVTyeDxjRwEA8H/weDyde1cpcrm89Y1uvRQSki6FQoEHTQIA03C53DbvCqqtreVwOFwut4cfhKqDzWbrnxcxy06XVCp1dnam3t6Ep3sBgNHxeDwul9vBi3iePXtmaWlpZWVlxHN32o947jLch9Q2gUBgZWVl2FdzAgB0gVKpVCgUUqnU2IF0O4yQ2iaTyejXpgEAQA/ANSQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEJCQAAGAEzLJrG6Z9AwB0nkHmpiMhtcHBwUGlUlVWVuLGWACAzuDxeBYWFno2goSkSyAQqFSq6upqYwcCANBrKJXKNh+191pwDUmXlZVVbW2tsaMAAOhzkJB0cTgcnKkDAOh5SEgAAMAISEgAAMAISEgAAMAISEgAAMAISEgAAMAI3ZKQkpKS+vXr9//3wWbv37/fzs5O+yudOgAA0Mfpe2PskCFDFi9e7O7u3tTUdOnSpR9++KF1HbVavXbtWj07AgCAN5teIyQLCwuxWJyamrp8+fItW7ZYW1sbKqy+o72RIp/P/+qrr8LCwgzeY3Bw8Mcff0wvrlq1atasWQbvhYKxMgB0nl4JydbWls1m37x5U6lUPn/+/NixYzoVVq5cuXXrVhMTExx09u7dO2LECOrzokWLoqKiuFxuB/VDQ0NjYmLkcvmoUaO6NbC4uDg/Pz8nJ6du7YVCjZWrqqp6oC8A6HX0Skjl5eVlZWWbNm2yt7dv/W1QUJC3t/euXbuam5v16eUNM3Xq1LFjx+7cuVOlUnVQLTY2tqysLDExMTs7u1vjaWlp2bFjx/Pnz7u1FwCAP6TXNSS1Wi0WixcuXPivf/3r119/PXHiRGNjI/WVn59fcHDw559/TpcAIWT48OELFiyIjIyUyWR0oYeHR2hoqK2tbXp6+tGjRwkhQqFw+fLlw4YNU6lUN27cSEpKorJXUlLSgQMHQkND+/Xrd/Xq1fj4eEKIi4tLeHi4m5tbcXFxYWGhQCA4dOiQTr8ikSg8PNzDw6O0tLSwsJAqtLKyiomJWbx4MbUoFosvXrx4586dLvcyf/78oKAgMzOz1NRUai3aypUrXVxctm/fnpCQsHr1ajwtEABa03eWXVNTU2Ji4urVq83MzLZv325i8r8ZLjQ09MKFC69evdI7wjcHdUzfuXOnzqPEAwMDxWLx5s2b/f39vb292Wx2REREeXn5mjVrIiMjPT09FyxYQFcOCAjYsmVLZGTktGnTPD092Wz2+vXrc3NzV6xYkZCQMHny5Nb9Ug0WFBSEhYUdP37c39//D0PtQi/u7u4zZ87csGFDaGioTjbCWBkAOsMw077r6uoOHDhgY2MzePBgquTgwYMLFizw9vY2SPtvhnfffffBgwdlZWU65adOnaqpqSkpKcnJyRk4cKCHhwePxzt58qRMJquoqEhISAgICKArnzlzpra2ViKR5OTkDBo0yN3dncvlJicnNzQ0FBUVpaamtu7X3d2dw+EkJyc3NjYWFRWlpKT8Yahd6EWtVvP5fBsbG51yaqwcFRWFsTIAdEyvU3ZDhgzx9fVNS0urr6/38fExNTWlr1dLJJLo6OjPPvtsy5YtrQ/Bvdrp06c7Uy0kJESnJCEhYdGiRbNnz7506ZJ2Ob3TGhoaTE1N+/fvX1FRodFoqMIXL15oH+XpyjKZzMzMTCQSlZeX05Xr6+tbpwSRSFRRUUEvymQyW1vbjoPvQi9PnjxJTEzctGlTeXn50aNH6R5DQ0PPnDnzWmPlLu9hAOjV9EpIlZWVrq6u+/fv53A4T58+3bVrl/bJqLt37546dWrLli3//Oc/9Y6TQbp8HKyvr//qq6++/PLLmpqa27dvt1eturra0dGRxWJRCcDe3v7ly5ftVZbJZEKhkF4UiURt1qFmWlPoGShyuZzH43G5XOoCVQdZqjO9EEJSUlLS0tJCQkI2bNiwbt06qvDgwYN///vfi4uL8/Pz22tfBzINQN+k1ym7+vr6r7/++qOPPlq8eHFEREReXh5VvnjxYuqq9fnz51etWlVdXU2XtP7Qpzx//nzv3r3/+Z//6enp2V6doqIiQsiiRYsEAoG9vf2SJUuuXLnSXuXCwkKhUPjOO+/w+XxfX9/x48e3WcfGxoaabjBy5Mhx48ZR5SqV6sWLF/PmzePz+bNmzerfv78+vVA0Go1EItGe0U6PlV3+v/buPKypK+8D+MmFhEgCYQeVGBYFBce2FhVX1Ipba6e11mpxqVbtVK21Vbu4lCJiXasiVioKWkWtrb6u1VrXWtwVpAqCCsgOCiSQQEhC8v5xZzIZCCESIBf4fp555knOPffc343Pw7fnrkJhfWsBABA8y67l3b9/PzY29uuvv+7cubPeDjU1NatWrfLy8oqOjv7222/v3Llz6tSp+karqqpat25dcHDwrl27goODL168WF1dXbfP+vXrR4wYERcXN2LECN142759+7Bhw3bu3Onm5kYHYaO38tJLL+3evfvAgQOTJk2qdQGedq6sO80CAKiFJRKJzF0DswiFwtZ70mvBggUZGRknT55sA1sBgPYGM6Q2gsvlDh06tE+fPgkJCa19KwDQPpn6cFUwu/DwcC8vL0JIVlYWfcVE690KALRnOGRXW6s+ZAcA0HrhkB0AADACAgkAABgBgQQAAIyAQKpNoVBwOBxzVwEA0O4gkGqTy+XW1tbmrgIAoN1BINUmkUj4fL5AILCwsDB3LQAArQOHw+HxeCYOgvuQ9MjNzaWfI4dMAgAwhkKhkMvlJg6CQNJPKpXqvtQVAACaGw7ZAQAAIyCQAACAERBIAADACAgkAABgBAQSAAAwAq6y04/P59va2uKybwAAY9CXfUskElMGQSDp4ebmplQqi4qKampqzF0LAEArgBtjmwWfz1cqlSUlJeYuBACg1VAoFAqFwsRBcA6pNltbW7FYbO4qAADaHQRSbRYWFjhSBwDQ8hBIAADACAgkAABgBAQSAAAwAgIJAAAYAYEEAACM0LyBZGFhsXz58iVLljTfJiiK2rx5s5OTE/21e/fu27dv79OnT/NtEQAAmgNLJBKZsv7GjRs9PDwIIXK5PCcn59KlS2fPnlWr1fTS99577++//xaJRAqF4vz586aXq/XWW2/JZLI//vhDt5HL5X7yySdRUVELFy7ctm1beXl5I0YWCoU5OTlNVCYAABjLws7OzpT1R40atWXLlqioqEuXLpWWlk6YMMHb2/vGjRv00gcPHjx79uzx48eZmZnGjNa9e/d//etff/75Z4M9hw8fLpPJ0tPTdRtVKtXVq1dVKtVff/1VXV3diN0hhAgEgsYlWfOJj4+/cOGC7uuBKYr66quvKisrCwoKjF8LAIDJmuaQnUajKSkpSUhIWLVqVf/+/T09PQkhjo6OS5Ys2b17d0xMzAcffMBms2utZWtrGx8fr/0aGhq6fPnyGzdu1G3v27ev7oqhoaGvvfbajBkzDh8+zOPx4uPj6Vh1dHRcvnz5vn371q1bR9dACImPj+/Xr9/WrVv37t07Y8YM03c2NDT08P+aNWuW6cO+ELVavWnTpnHjxtna2rbwpgEAmkkTP8uuoKAgLS3N39//6dOnS5cuvXPnzvbt221sbBYsWDBhwoQDBw4YXj0yMvLmzZsN/pENCwubO3dudnb2yZMntY0URS1duvTGjRsbNmzo16/f559//umnn9IHD4OCglasWGFvbx8eHn716tW0tDRT9jEsLIwQ4uLismnTppCQEFOGMoVcLqcrAQBoG0yaIW3evNnDw4OeMYwYMYJuLC0ttba29vHx4XA4Bw4ckEqlBQUFe/bsCQoKaoqC60Vv8dChQ3K5/PLlyywWq3PnzvSiI0eOiMXizMzMpKQk+oxXk4uPjx86dGhcXNzo0aPrm+HpnasJhcLVq1cfPHhw9erV06ZNmzt3rt7xPT09v//++/j4+C+++ILP52s3Sk8N65sF+vj4REZG7tu3b86cOc2x1wAATcikGdLChQs3bty4Z8+e5ORkbaObm9v9+/ednZ0LCgo0Gg3dWFhYaG9vb1KlDXF2du7UqdPhw4e1LQ4ODvTlCc+fP6dbpFIpl8ttpgJeeumlefPmVVZWGpjh1ZqrPXr0aNGiRdeuXYuIiHB3d1+yZMndu3f1rjh69Oh169ZVVlbOnTt3+vTp27ZtMzwyPQscPnx4aGioQCAIDw//66+/UlJSmnB/AQCaVhMfsuvevXuXLl3u3LnTuXPnjh07slgsOpNcXV2Li4trda6qquJwOGw2W6lUEkIcHBwMtxsmFosfP3785ZdfNuX+vIgzZ85UVlYa7kPP1cRisXauxmazDx06pNFo0tLSzp8/X19sHzlypLCwkBCyd+/eiIiIBkemA+nXX38tKysrKytLSkrq0qULAgkAmKxpLmqgKMrFxWXUqFFffvllbGysRCKh/yBOnjyZz+e7urpOnz797NmztdZSKpWFhYVvvvlmhw4dRo0a5ezsbLhdl0wmE4lEFPXf+h8+fGhvbz9q1KgOHTo0yU69KO08zJg+9FzNxcUlLy9PO4+sqKiob8WioiL6g0Qi4fF4LBbL8Mi1GmUymZWVlbF7AgBgDk0QSKGhoYcOHVq3bl3v3r3Xr19/4cIFQkhNTc2qVau8vLyio6O//fbbO3funDp1qu6627dvHzZs2M6dO93c3HSvNaivXevChQs9e/bctWuX9o+vUqn87rvvgoKCYmNj9+zZ8/HHH5u+ay9E+9IK7QyP/mpghieVSh0dHbVfXVxc6utpY2NDfxAKhc+ePdNmGABAm2HqIbtFixbVt6ioqGjVqlWGV09JSZk/f77x7Vo5OTnayNFe6paZmbl06dJaPXUvhIuOjjZcT5PQzvB+++23IUOG6J3h0R4+fOjo6Dh27NiLFy/6+PgEBgYmJSXp7Tl58uQdO3ZwOJwPPviAjnwAgDam2Z9l9/nnn/v5+TX3VpimwRkeraqqat26dcHBwbt27QoODr548WJ99/MmJiZu2LBhzZo1Dx8+/L//+79mKxwAwGxMfXRQ22PGRwctWLAgIyND9+YqAID2A0/7ZgQulzt06NA+ffokJCSYuxYAAPNo4su+4UWFh4d7eXkRQrKysiIiIsrKysxdEQCAeeCQXW142jcAgFngkB0AADACAgkAABgBgQQAAIyAQKpNoVBwOBxzVwEA0O4gkGqTy+XW1tbmrgIAoN1BINUmkUj4fL5AILCwsDB3LQAArQOHw+HxeCYOgvuQ9MjNzaUfUo5MAgAwhkKhkMvlJg6CQNJPKpVKpVJzVwEA0I7gkB0AADACAgkAABgBgQQAAIyAQAIAAEZAIAEAACPgKjv9+Hy+ra0tLvsGADAGfdm3RCIxZRAEkh5ubm5KpbKoqKimpsbctQAAtAK4MbZZ8Pl8pVJZUlJi7kIAAFoNhUKhUChMHATnkGqztbUVi8XmrgIAoN1BINVmYWGBI3UAAC0PgQQAAIyAQAIAAEZAIAEAACMgkAAAgBEQSAAAwAitOJDi4+Pt7Oz0Lvroo4+Cg4PpzxRFbd682cnJqQVLAwCAF2bSjbGhoaG9evXSbTl9+vTOnTtNK8mQt956SyaT/fHHHwb69OnTR6FQaPuo1eqFCxc2X0kAANAkTAqksLAwQoiLi8umTZtCQkKaqCRDOnXqlJ2dbbjPrVu3bt261QLFNE58fPy8efN0772t2wIA0A41/aOD4uPjY2Jipk+f/vPPP585c2b48OFvv/22o6NjWlra5s2b6UfvxcfHR0ZGTpkyxc7O7sKFC3FxcYQQoVD48ccfe3l5ZWRkPHz4kM/n//DDD7ojaydkM2bMmDZtGiHEx8dnypQpDg4Of/75544dOwgh9W2uaf/ib9y40cPDgxBSUlJy/PjxkydPNtXIAADtVrOcQ3rppZfmzZt35swZQohIJNq0adPs2bMJIePGjdP2CQoKWrFixTfffPPaa6/5+vpSFLVo0aJ79+59+OGHe/bsGTJkSN1hw8LCzp8/HxcX984778hkMkLI8OHDQ0NDly9fPnjwYD8/PwOba3JhYWHvvvvu999/P3nyZE9Pz+bbEABAO9EsD1c9c+ZMZWUl/Zme/RBCrly5EhAQoO1z5MgRsVgsFouTkpLo2QabzT506JBGo0lLSzt//ry9vX2DG/r111/LysrKysqSkpK6dOmSkpJS3+aag1qtfvjwYWFhIX1thd7JmY2NzYwZM15++WUWixUTE3P16lXt6rNmzRIKheHh4doWR0fHmTNn+vv7K5XKhISE+Ph4pVJJjJg7AgC0Ac0SSM+fP9d+HjBgwJAhQ9zd3Z2cnJKTk+v2kUqlXC7XxcUlLy9Po9HQjRUVFcYEknYQmUxmZWVlYHPNgc1mBwQEUBR1//598p/JWVFR0eLFi8eNG7dv3z5CyJdffpmTk/PZZ585ODjQuUt7/fXX/fz8li9frlKp6BaKopYuXXrnzp3t27fb2NgsWLBgwoQJBw4coOeO165di4iIcHd3X7Jkyd27d5t1vwAAzKJZAkn7cNIePXpMnz49JiYmOzu7Z8+egYGB9a0ilUodHR21X11cXBqxXeM3Z7rQ0FBCiEqlOnDgAL2/dSdnXbt2dXJyCg0NrampkUgkmZmZdIfevXu/8cYby5Yt084jCSE+Pj4cDufAgQMajUYqle7Zs2fhwoUHDhzo1q1bI+aOAACtTvO+D8nFxUUikWRkZFhaWg4ePJg+AKXXw4cPHR0dx44de/HiRR8fn8DAwKSkpLrdZDKZSCSiKEqtVpuyOdOFhYXdv3/fzc3to48+sra23r9/f93JmZubW05OTt1nh0+ZMuXIkSOlpaW6jc7OzgUFBdo5YmFhIR08jZs7AgC0Os17Y+yNGzckEsm2bdsWLVqkN2C0qqqq1q1bFxwcvGvXruDg4IsXL1ZXV9ftduHChZ49e+7atYvL5ZqyuSahVqvz8/MvXLjQvXt3enJ27ty5lStX0tf7EULKy8vd3Nzqrrh169YJEybQV2FolZSUdOzYkcVi0V9dXV2Li4tJE80dAQCYrwlmSMXFxbo3Iel+lsvlERER2q/Hjh2r2yc6Opr+kJKS8tlnn9GfFyxYkJGRUXdbOTk5H3/8sYFBGtxcE2KxWM7OziNGjEhNTdU7OUtNTaUoKiQk5NixY25ubu7u7pcuXSKEZGZmbtu27YsvvlixYkVOTg49WlpaGiFk8uTJx48f5/F406dPP3v2LDF67ggA0Nq1xKODHBwc1q5da2RnLpc7dOjQPn36JCQkNGtVJgoNDf3111/XrFmTkZFx6NAhvZMzpVK5atUqb2/vH3/8ceHChfSMh3br1q1ff/11xYoV2tlPTU3NqlWrvLy8oqOjv/322zt37pw6dYoYPXcEAGjtWCKRyNw1/Ft4eLiXlxchJCsra+/evQ8fPjRLGUKhUDtrYSB67ohbcQGg7WneixpeyIoVK8xdAqNxudzAwMA+ffrs3bvX3LUAADQ9BgUS1Ed37hgREVFWVmbuigAAmh6DDtkxBMMP2QEAtFWt+H1IAADQliCQAACAERBIAADACAik2hQKBYfDMXcVAADtDgKpNrlcbm1tbe4qAADaHQRSbRKJhM/nCwQCCwsLc9cCANA6cDgcHo9n4iC4D0mP3NxcPp/v6uqKTAIAMIZCoZDL5SYOgkDSTyqVSqVSc1cBANCO4JAdAAAwAgIJAAAYAYEEAACMgEACAABGQCABAAAjIJAAAIAREEgAAMAICCQAAGAEBBIAADBC6w4kBweHr776qlOnTuYuBAAATGVhZ2dn7hr+i8PhLFu2TC6X5+Xl6bZTFDVixIjq6uqKigpCSK9evWbPnl1TU/PKK6/cuXMnLS3NyAGHDRs2ceLEioqKoqKiFy2poKBAtwZjym7czgIAtE9me5bdjBkzhEKhbktNTc369ev1dmaz2f7+/mVlZXl5eXZ2dgMGDPjxxx/feeedY8eOFRQUEEL69Onj6+u7b98+A1vs0qWLSCSKjo4OCQnJzc0tLS19oYJ1a3ihFQEAwBhmC6SzZ89yuVyBQPDGG28kJCRkZWVpNJr6OldXV2/evJn+LBaLo6OjCSH0/9Pc3d1tbGwMbzE7O3v37t2EkO3btzeiYN0aAACgyZktkOh5hpOTEyGksLDwyZMnhBD6Va3W1tYhISFdunQpKCj45ZdfZDIZh8P56quvfv/99xs3bggEgrFjx3bp0qW8vPz333/PyMiYOnWqp6cnIeSbb745efLk3bt39W5x6NChvXr14vP5z549O3HiRGFhIT3s5cuX3dzcvLy8SkpKTpw4QU+56tKtwdraeuTIkV5eXhwO58qVK7du3dJbdq0RjF+rbqmzZs2ytLSkM5jL5S5evPj06dN37txpmn8MAAAGYOJFDa+++mpiYuKpU6eEQmFgYKDuIoqipkyZQlFUTExMamrqxIkTra2tjx07lp6eXlJS8sMPPzx48KC+YTkczpEjR3bu3GllZTV69Ghte0BAQGpq6sGDBzkczoQJEyiqgd+ExWKFhIR4eHicOXPm0KFDarW6wbJfdK26pSYlJbm4uNja2hJCfHx8NBpNSkqKMT8mAEBrwcRAun//fkpKSnJy8rNnz5ydnXUXeXl5OTo6/v7776WlpVeuXGGz2Z6enuXl5dXV1Wq1+vnz59XV1fUNe/bs2dzc3OLi4tTUVBcXF93NJScnZ2ZmXrp0yd7evtYW6/Lw8OjYseOJEydSUlIyMjKuXbvWYNkvulbdUh88eFBTU+Pj40MI8fX1ffToUVVVlTE/JgBAa8HEF/SJxWL6g0wmY7PZuovoawLnzp2rbaEnDQ1isVivvPJKjx49HBwcBAKBSqXSLtJe3UBfPmdlZWV4KEdHR0JI3SN7Bsp+obX0llpVVZWenu7r65uUlOTt7X306FFj9hoAoBVhYiAZuLqBfotrdHS09u+4brQY4OfnN3bs2F9++SU3NzcgIKB///7aRdbW1vQHeoIikUgMD0XX4Ozs/PTpUyPLfqG16iv13r177777rq+vb01NzaNHjwwXCQDQ6jTxITsWi9W0A9aSmZlZWVkZHBzs7Ozs4uIyduxY+mSMXC4XCARCobC+M0B2dnZqtVqpVDo5Of3jH//QXdSnTx8fHx9vb+9BgwY9ffq0wUDKyMgoLy9/44036LV0s61J1qqv1MePH8vl8mHDhtGH74zZKABAK9I0MyQul0sIsbCwqBtIhk91WFhYEEIoitJ+0P1Kj2ZhYaFtV6lUP//888iRI6dNmyaXy1NSUuieiYmJ3t7e06dPP378uO51DdoV//77bx8fn0mTJuXn5z958uSll17SDvvgwYOgoCAnJ6fs7OxTp07RA9YdQfuhpqZm//79I0eOHD9+fHV19eXLl+srW3cc49fSWyo9yIMHD/r27Xv8+PFag9fSoUMHA0sBAJqQRqOpqalRqVRGHq8ygCUSiUxZn6Ioa2trpVLJYlHaK8daCzabvWjR5+fPn79167a5azHKqFEjPTw8fvxxh7kLAQD4NxaLxWKxKIrSaNQmXmxl6iE7a2trhUKp0ZBWkUYdO3b85JNQySCeAAAgAElEQVT5da84MAaLxZozZ463t3eTV6WXq6vr/PnztVdYcLlWvXr16tWr1/XrN1qmAAAAY2g0GrVabfr0iJh4yI7L5SqVStOLaDEajdrwpQeGsVhEo2m53GWx/hvzo0eP8fDwuHbt2r1791qsAAAA49XUmPrn0aRDdlwulxBWq5gbAQBAc1Mo6r0T1BgmHbKzsLBAGgEAQJMwKZCa+yJvAABoP5j46CAAAGiHEEgAAMAICCQAAGAEBBIAADACAgkAABgBgQQAAIyAQAIAAEZAIAEAACMgkAAAgBEQSAAAwAgIJAAAYAQEEgAAMAICCQAAGAGBBAAAjIBAAgAARkAgAQAAIyCQAACAERBIAADACAgkAABgBEtzF9BaURRla2tjZWVlTOfqakV1dbVcLtdoNM1dGABAK4VAaiRbWxuKomQymTGdLS0tbWz4VlYcsVjS3IUBALRSOGTXSFZWVgqFwsjOKpWqsrLSyOkUAED7hEBqUZaWmJICAOiHQGpRKpXK3CUAADAUAonpxo4ds2HDeldX1wZ77t4dZ2cnoChq/fp1Tk5OBvq8UAGNWAUAoBFwBIkp1qz5TiQSEUJKS0tPnjx5+vQZQkinTp06duy4evV3M2bM2LRpk1qtJoSMGzeusrLy/PnzesdRq9VLlnzRkpUDADQJBBKDRESsTklJ6dq169KlX6emPszKysrPz9+1K5YQsnHjRm23jh075ubmmK9MAIBmgUBiFrVanZ6eXlhYKBAICCFDhw59881xDg4Ojx49ioraJpFIli1b2rNnT0LI1KlTZ82arfe689274xYuXCgWS/h8/rRp03r1+gdFUbGxsdev3yCEdO3abfLkSfb29n/9lRAbG1trXSNXqVvY0qVf37x569y5c4SQDh06/PDDtvnzPzHysngAAIJzSEzDZrP79etLURYpKSmEEKFQuHVr1Lx58wkhY8aMIYRERKy+ePHS3r17J09+v8E/94sXL1Ioqr/88qvVq7+zsuLSjUFBQeHhq8LCVg4cOKBHjx6NW6VuYVeuXOnbtw/dPyAgIDk5GWkEAC8EMyQGWbZsKSFEpVIdOvRLTU0NIWTv3r30ooSEq717v/JCo3l5eTk4OK5cGa5WqyUSSVZWFt1+9OhRsVgsFouTk/8WCt1TU1MbsUrdwm7evDV9+nQ+nyeVyvr3Dzx//oIJvwQAtEcIJAahzyG5urp8+OEsa+sOP/98KDCw38CBg9zdOzs6Ot6/f/+FRnNzc8vLy6Wvg9BVUvKc/iCTSTkcq8atUrew6urqxMSkV17pfffuXZFIlJiY+ELVAgAgkJhFrVYXFBRevnxp6NBhvr6+ISEhcXG7c3Jy/P39tQfEjFReXm7MxeKNWKW+whIS/nrttREURV2/fqNuqgEAGIZzSMzCYrGcnZ2HDRuWnp7m4uJcXl6RmZlJCBk4cIC2T2WlTCgUUlQD/3ZpaWkURU2a9B6Px/P29h48eHCDWzdylfoKS07+WyTqMmjQwD///NOYnQUA0IVAYpBly5bu3x8fHr4yMzPr8OEjN2/eKi+XbN68aeHCT+/dS9Z2u3Tpsr+/f3T0di6Xa2A0pVK5Zs1aLy+vqKit8+fPe/78eYMFGLlKfYWp1epbt27b2Ng8ffrU6J0GAPg3Fn0zZuPw+XyFQtmE1bQidnZ2hGiMfxQQm83WaDRt/mnfs2fPysvL++230+YuBADMQKGoNmV1zJAaqbq6msPhGNmZzWZzOBy5vDH/VPb29hERq4zvz2Kx1qz5zsbGphHbeiF1C/Pz6/Hqq6/ieB0ANA5mSI3EYrEEAtsXeUGfvKpK3txVmdGCBQt8fX127NihexAPANoVE2dICCQAAGgaOGQHAABtAQIJAAAYAYEEAACMgEACAABGQCABAAAjIJAAAIAR8HBVk9AviQAAYI5OnTq96CoajUYmk5n9HWYIJJNYWFiYuwQAgP9RVFTUiLUcHR0tLCzKy8ubvB7j4ZAdAACQkpISHo9n3hoQSAAAQAghLBbLvAUgkAAAgBEQSAAAwAjMDaTdu+Ps7ARNPo6zs3NExCqzHyoFAIBaGHGVnUgkmjDhnR49elAU9eBByq5du8RicXNsiKKomTNnbN0a1eRXN44cOXLMmNH29vZPnmTs3BlTUFBICHFzc/voozne3t5FRUUxMTHp6Y/q60kIGTx48Pjxbzs7O+fnF3zxxRd1N6F3tI4dO86ePcvT0zM7Ozs2Nk7vq1p5PJ6/v//AgQPEYklcXJyBxgbX0luD4VXefffd8ePfpj/fv38/ImJ1rQ3t3h1X6y0ekZFbr127Vl973VIBoG0wfyD16tXrk08+OX782E8/7a2srOzTJ6B7d9/r1280x7bUavXateuaY+QuXYRr1qyVSCTvvDN+1qzZ4eHhLBZr4cJPb9++vXHjxiFDhnz22ecLFixQKpV1exJCAgP7vfnmuO3bo588eaL33qb6Rluw4JObN2+tW7d++PBhCxd++tlnn9ddd8yY0TY2tnl5eba2toYbDa9VXw2Gx7Sxsdm+PdrwW/smT35f+3nWrA8bbAcA49nY2Pzzn2/WemlnRUXFsWPHKyoqzFWVXmY+ZMdms//1r4/27Nl94sTJZ8+eyWSyS5cua9Ooa9duGzduiI3dNXPmTLpl6NCh33+/cffuuGXLlgoEAkLI0qVfjxgxgl7aoUOHuLhYvYfjbGxsdu/+7zxg2bKlAQEBhBA+nz937tzo6O07dvwYGNiv0Tuyc+euoqIiuVx+7tz5zp07EUJEIpGtre3hw0ekUtlvv51WKhW+vr56exJCJk6cuGVLZHp6en132uodjcVidenS5Y8//pDL5WfO/O7i4qL3Jba//no4Li5OKpU22Gi4g94anJ2do6K2stns+sbk8/nl5W38xe0ATFY3e5iZRsTsgUT/Vf3rrwS9S4OCgsLDV4WFrRw4cECPHj0IIUKhcOvWqHnz5hNCxowZQwi5cuVK37596P4BAQHJyckvdDhu8eJFCkX1l19+tXr1d1ZWXFP3hxAfn26ZmVmEEJFIlJGRqdFo6PbMzMxOnTrq7enq6mppyR4x4rW4uNjIyC1BQUF1h9U7mkajuXXr9qhRI62srEaOHJmc/LdCoTB9F+rT4B7pZWtrs2TJkpiYmEWLFjk7OzdfeQBQH90EYmwaEbMfsnNyciwsLKxv6dGjR8VisVgsTk7+Wyh0T01N3bt3L70oIeFq796vEEJu3rw1ffp0Pp8nlcr69w88f/6C8Vv38vJycHBcuTJcrVZLJJKsrCzT9ob4+PiMHz9+w4aNhBAez7qy8r/RWFlZZWnJ1tvT2dnZ0dFBLJZ8/PFcb2/vxYsXPXnyRCKR7NjxI905OvrH+kY7fPjX8PDwCRMmqFSq0NBvCSE2Nja6K16+fNnEndLSW8OzZ8/mz//EwFpr165TqVT29vaTJr332WcLly5d1lT1AIDx6BwaPnzYhQsXmZlGxOyBVFlZ5eDgUN/SkpLn9AeZTMrhWBFCAgP7DRw4yN29s6Oj4/379wkh1dXViYlJr7zS++7duyKRKDEx0fitu7m55eXlqtVq03bi30aPHt2/f+Dq1d89e/aMECKVynTPyVtbd9AeuarVs6ampry84ujRo4SQBw8eJCYm+fn5nT17VvcMypAhQ+qOZm9vv3Tpsi1bIlNSUrp167Z48aLQ0G+fPXumu2ITMrBHBtAnmUpLS2NidsbFxQoEAokER/AAzIDOJHNXYYiZD9k9fPjQ3t6+Z8+exnT29fUNCQm5ePHi6tXfxcb+94RQQsJfffv2DQgIuH79Rn3pIpfL2Ww2faqDEGJvb08IKS8vd3V1NXknCCHkvfcmurt3DgtbSWcMIaSwsFAkEmk7dOnSJS8vX2/P4uJiKysORWn/LTTV1bXfS693tH/84x8FBfmJiYnV1dX379/PzMx85ZWXm2R39Kpvj4xkYWHBYrHq7hoAAM3MgVReXn748OFPP10wZMgQgUBgZycIDh7Rv3+g3s4uLs7l5RWZmZmEkIEDB2jbk5P/Fom6DBo00MClXEqlsqio6PXXX+dyucHBI5ycnAghaWlpFEVNmvQej8fz9vYePHhw4/bC2dl54MCBsbFxunH46NEjjUYzduxYHo83duyYysqqzMxMvT1LSkqePHkSEhJibW3ds2dPPz+/e/eSam1C72hZWVmenp69evXicDj+/n6+vr70SalmUt8ebd0aqU36umbOnOno6GhnJ/jwww+TkpLkcnnzVQgArZr5L/s+dux4aWnpmDFjZs36UCqV3rlz5+DBn/X2vHnz1oABAzZv3pSbm3vt2nU/vx50u1qtvnXrtr+/n967cLRiYnbOmTP7rbf+ee7cuUePHhFClErlmjVrZ86cERW1VSwW79gR07hdcHd3d3Z2jo/fp23ZuPH727dvb9iw8ZNP5k+ePOnJkydRUVsN9IyK2jZ//rzo6O15eXlbtkSKxbUPamk0mrqjZWdn//jjj1OnTnFxcSkpKdmzZw+9X81Ebw2koedf2dkJNmxYTx9Z3b49Wm+fAwf263598CDFcDsAtEks3YMwL4rP5ysUyob7Nb/Zs2fl5eX99ttpcxcCANBaderUKT//BY7D16VQmHRMnrmPDqqPvb19RMQq3RY/vx6vvvqq4VsvAQDAMO1NHebS6mdICxYs8PX12bFjx717yeatBACg9XJ0dFQqlSa+oM/EGVKrDyQAANDV6FeYm/66WBMDyfwXNQAAQBMy8TyQGbW+c0gAANAmIZAAAIAREEgAAMAICCQAAGAEBBIAADACAgkAABgBl32bxNra2tra2sICuQ4ArZhSqVQolAZeId0yEEiN5+jooFKpyspKa2qa5o1KAABmwWazuVyui4tzcfEzM5aBQGoka2trlapGIjH1xmYAALNTKpVKpVKjUXfo0KGqqspcZeBYUyNZW1tLpQx9DTAAQCNUVlbx+TwzFoBAaiQLCwpH6gCgLVGr1TqvrjYDBBIAADACAgkAABgBgQQAAIzQigOpb9++n3220NxVAABA02itgcRms19//fWYmJ3NNP6GDeunTAlppsEBAKAupgfS7t1xdnaCWo3dunWbOnXqhg0b5s2ba8pFinoHp4WHrwoICGj0yO0EJqkA0ITMH0hr1ny3efMmDoejbZk8efLkyZMNrPL48WM+nxcZueXhwzSpVNYcVb333nspKanNMXKb0dyTVABob8wfSIQQjUYzceK7L9Q/MnLrjBkzjx071kwl7dixY8eOHYSQkSNHTpr0XjNtxXj1TeY6dOgQFhY2Y8aMFt50U01SAQC0GPHooCNHjkydOvXq1WsZGRl1l3bt2m3y5En29vZ//ZUQGxtLCBk6dOibb45zcHB49OhRVNQ2iURCCOHz+dOmTevV6x8URcXGxl6/fkN3kN2747Zt+2Hy5EkCgeDSpct79+6tb3AHB4fp06f5+fnx+XxCiFgs2bo1srl/Aa01a77bty/+/v37hJCJE9/18/OLiFitVCrr6z9p0qSYmJhBgwa9/PJLSUn3WqzOx48fjxkzOjJyy9Gjx5ppkgoA7Q0jAqmsTBwfv/9f//ro66+X1tTU1FoaFBQUHr5KIBB8882Ka9eupaamCoXCrVujiouLFy78dMyYMQcPHiSELF68KDc398svv7K3txeJRHW3MnjwoJUrV9rZ2X/zzYobN66npz+qO3haWtoXXyxJTEyMiYnh823mzv347t1Esxy7CwoKCgjos3JlmIE0IoTExcURQuhfoCXRk9QW3igAtG2MCCRCyOXLlwcM6P/Pf7555Mj/1Vp09OhRsVgsFouTk/8WCt1TU1O185uEhKu9e79CCPHy8nJwcFy5MlytVkskkqysrLqbOHr0mFgsEYslycl/i0QiOpBqDV5TU8PhWB069ItGo5FKZfv2xc+fP+/o0aPNu/N1+Pv7v/32WytXhutOPgxM5pRK5bVr1w4e/JlOL73TQXd399mzZ3l6emZmZqanp/N4fPqYpC7j55GNmKQCABjGiHNItJiYnWPGjOncuXOt9pKS5/QHmUzK4VgRQgID+y1atGjTpu9nzpxhaWlJCHFzc8vLy1WrDT1crrS0hP4glVZYWXH1Du7s7FxYWKDRaOjG4uIie3v7ptk9o7m7u8+ZM3vDho2lpaW67fRkLixs5cCBA3r06EFR1BdfLMnPz//ss89Wrgzv1q3b22+/pe1MTwfDw1cNGzbUx6cbRVGffrrg77/vf/zx3Pj4/YMGDapv67VW1LtpQgg9SZ03bz4hZMyYMXS3xYsXKRTVX3751erV32l/YQAAIzFlhkQIef78+S+//DJnzuy0tHRtJNTl6+sbEhISF7c7JyfH39+/b98+hJDy8nJXV1fTaygtLXVzc2OxWHQBLi4uz549N33YF/LGG68nJ/+dm5tbq92Iydz8Q4d++U/n/5kOEkLYbPbhw4c1Gk16evrFixft7PQHrTHzyEZPUgEADGBQIBFC/vjjXGBgYGBgv2vXrtfXx8XFuby8IjMz09LScuDAAfRBqrS0NIqiJk1678SJk25ubp06dbpy5UojCkhPTyeETJz47qlTp6yteSEhU86dO9e4fTlwYL8x3SZPfr9WS3z8/okT3x05Mvjs2T90242YzNlpO9eaDjo7u+Tn52s7S6XS+gLJmHkkISQwsN/AgYPc3Ts7OjrSl2AYnqQ2+tcAgPaDWYGk0WhiYmLWrFljoM/Nm7cGDBiwefOm3Nzca9eu+/n1IIQolco1a9bOnDkjKmqrWCzesSOmcQXU1NTQ40RGRkql0gsXLp45c6ZxQzX6b2tFRcW6devDwr4tKxPfunWrvm4vNJmTSqUODg7ar87Ozo2rjdaISSqSBgAaZP5A+uqrr3W/FhQUTp/+gfbrBx/89w6bnTt30R/Wrl2nbTx58iT9obCwcPXq7+rbit5x9DYWFxevWbP2xfahqRUUFGzZsmXRokUSiZg+aFbXC03m0tPTHR0dR40adfnyZR8fn759+967l9zo8pp1kgoA7RaDLmoAXQ8epPz0094lS5Z06tRJbwd6Mufp6RkZGbl8+bLExEQDk7mqqqqNG79/7bXXoqO3Dx8+/PLlywpFdaNru3nzVnm5ZPPmTQsXfqoNNnqS6uXlFRW1df78ec+ft/S5NwBo7Vh6b9kxEp/PVygM3SXThrm6uhQVFZu7ikaaO3duVlbmb7+dNnchAMAsJv5lM+W/dAlmSO0Nl8sdPHjwq6/2vnr1mrlrAQD4H+Y/hwQt45tvVnh5eWk0muzs7LVr14nFYnNXBADwPxBI7cXKleHmLgEAwBAcsgMAAEZAIAEAACMgkAAAgBEQSI2kVCrZbLa5qwAAaDKWlpYqlcqMBSCQGkmhUHC5eKA1ALQdbDZbLjfpRiITIZAaSSqVdejA5fF4FIXfEABaN0tLyw4duLa2NjKZOV8Ajcu+G6+4+FmHDh0cHR2QSQDQqqlUqurqarM/fQaBZJKqqqqqqipzVwEA0BbgP+0BAIAREEgAAMAICCQAAGAEBBIAADACAgkAABgBgQQAAIyAQAIAAEZAIAEAACMwPZCsrKz27NkdFBRk7kIAAKB5MT2Qqqur165d27dvH20LRVHr169zcnJqcF1LS8uwsDCRSPSiKwIAQMtjaf9eNwKfz1colKYXIRQKx48f7+/vx+VyS0pKLl68ePz4Ce3SiIhVf/555ffffzc8yLhx4yorK8+fP69tmTIlJD390c2bN02vEAAAGqRQmPSwcPM/y65nz54LF3567Njx/fv3y2QyLy+vAQP663ZYtmw5/cHHx2f8+LfXrFmrd5yOHTvm5ubotuzbF09/GDlypIOD/cGDPzdD+QAA0DTMPENis9mbN2/av/9AQkJCrUU2NjZbt0Z+8MEM+uuyZUu9vb337Yu/cOHC7t1xCxcuFIsl2s7Lli3t2bMn/XnWrNlWVlbTp0/z8/Pj8/mEELFYsnVrZEpKat0VAQCgqbTuGVL37t1ZLFbdNNLrhx+23759W++iiIjVc+bMyc3N+e230xRFrVixPDExMSYmhs+3mTv347t3E1NSUpu0cAAAaGJmvqjB0dGhqKiI/szj8Q4c2E//z5Qxu3btyuFYHTr0i1QqKyws3LcvfvjwYU1RLAAANCMzB5JMVuno6Pifz7LJk9+fNWu2iWM6OzsXFhZoNBr6a3Fxkb29vYljAgBAczNzIKWmpgoEAu3pH11yuZzNZrPZbPqr8aFSWlrq5ubGYrHory4uLs+ePW+SagEAoPmYOZCkUunBgwcXLPgkKCjIzk5gZWXl4+NDL1IqlUVFRa+//jqXyw0OHtHg/UOVlTKhUEhRVHp6OiFk4sR3+Xyei4tLSMiUc+fONfueAACAacx/2ffp02dKSkrfeOP1mTNnKBTK/Py8nTt30YtiYnbOmTP7rbf+ee7cuUePHhke59Kly198sSQ6evuCBZ+uWbN25swZkZGRUqn0woWLZ86caf79AAAAkzDixlgAAGgDTLzsm+mPDgIAgHYCgQQAAIyAQAIAAEZAIAEAACMgkAAAgBEQSAAAwAgIJAAAYASTboyVSqVNVQcAALRzmCEBAAAjGDtDeumll5q1DgAAYKx79+61wFYwQwIAAEZAIAEAACMgkAAAgBEQSAAAwAgIJAAAYAST3ocEAADQVDBDAgAARkAgAQAAIyCQAACAERBIAADACAgkAABgBAQSAAAwAgIJAAAYwaT3IQEANI6tra2NjQ1FtZ3/JlapVHK5vKyszECftrfXDTLmZ9HCjbEA0NI6duxICFEoFBqNxty1NBmKoiwtLS0tLXNzc/V2aJN73aAGfxZdFnZ2di1QEwAAzdbWlsPhVFdXm7uQJqbRaGpqagghFEUpFIpaS9vqXjfI8M9SSzuaOQIAE9jY2DT4h6n1UqlUtra2ddvb9l43qL6fpRYEEgC0KIqi2vAxK41Go/cUUdve6wbV97PUgkACAABGQCABAAAjIJAAAIAREEgAAMAIuDEWAJiOoigWi8VisXSvC6AoSq1W05cUQ9uAQAIARuNyud7e3q6urnw+XyKRqNVqut3V1TUzM/PBgwdyudy8FUJTwSE7AGAuiqK8vb39/PzUajWfz1cqlbL/qKys7NGjR9euXa2srMxdZrNgsVhsNtvCwqJWu4WFBZvNZrFYZqmqWWGGBADMxWKx7O3tMzIy8vPzbW1tHz9+LBaL6UXJyckeHh5+fn4ajebRo0dt77ZTS0tLoVBIUVR2drZ27zgcTpcuXdRqdU5OjlKpNEthUVFRS5cuLS8vb/KREUgAwGjaU0c2Nja+vr4VFRV0e2lpaU5ODiHk5ZdfrqqqyszM1J5h8vDwGD9+vKenp0KhuHjx4smTJ81VvCnUajVFUb6+vpaWlhkZGQqFgsPheHl5eXt7p6WlaQ9d6hIKhePGjfPx8bGwsHj48OG+ffskEknLV95oCCQAaAWkUunTp0/ZbLaNjQ3dUl1dTVHU48ePhUKhUCh8+vQpfYGDtbX1559/vm/fvq1btzo4OLz22mtmLbzxampqsrOzLS0tPTw8CCF5eXmdO3f28PB48uRJdnZ23as5/P39Z8+effr06UOHDlVVVb388svdunW7ffu2GUpvLAQSALQCFRUVf/31l95FEomEx+Npv9rZ2VEUdfv2bbVaXVRUtH//frp94MCBo0ePdnBwePLkyc6dO8vLyz///PNbt25duXKFEGJvbx8aGrp48WIbG5tp06Z17dq1qKjop59+ys7OboG9q49CocjIyCCEiESiTp06WVpaZmVl0bOlWj3ZbPYHH3xw8ODB69ev0y0JCQn0h7o7TgiJioratWvX+PHjBQJBQkLCzz//TAjh8XiTJk3y8/OjKCo+Pv727dv29vYt+WvgogYAaAV4PN7LL78cEBDwyn+8+uqrffv21U6YtAoKCvLz8+fPn+/k5KTb7u7uHhMTs2TJEkLIiBEjCCE3btzo3bs3vTQgIODOnTtqtfqTTz7JyMhYsmTJuXPn5syZY/ZrBxQKRV5enlKp9PX1ValUeXl5es+Wde3alcViadNIV90dp/Xv33/9+vUbNmwYNGiQt7c3IWT+/PkKhSIsLGzTpk1WVlYURbXwr4FAAoBWwNbWtmfPnnZ2dtz/cHBw6NmzZ91nSGs0mg0bNuTm5n7zzTdTp07t0KED3f7zzz9nZ2dXVlbeuHHDzc2NEHL37t2uXbtaW1sTQvr06XPt2jUvLy82m33ixAm5XE7/cadfYmRGHA6nc+fOlpaWaWlpbDa7c+fOHA6nbjcHB4fi4mK9I9Tdcdpvv/1WXl6enZ394MEDoVDo4eFhb28fHx9PNyYkJLT8r4FDdgDQOkil0gcPHmivsrOzs+PxeHrP7SsUiiNHjvzxxx8TJ05csmTJ6tWrVSpVQEBAv379Onbs6ODgkJqaSgipqqpKTU3t1atXeno6j8d7/Phxv3793NzcYmJitEPZ2dnl5+e3zA7WRV/F4OHhkZWVpT2HRAipe9SuqqrK3t5e7yB1d5xWWlpKf5DJZFZWVi4uLvn5+bq/p6OjYwv/GggkAGgFNBqNUqmsqqqqqqqiW6ysrJRKpYF3OlRUVMTGxm7YsEEkErFYrHfffTc+Pj4/P9/X11d7pO7mzZt9+/YVCAQ3btwghEgkkszMzNWrV7fAHjXIwsKiS5cu3t7eT548oROIPp/k7e2tUqkyMzN1r2t49OiRQCDo0aOHbuQQQrp27ap3x+uqqKhwdnbWbWn5XwOH7ACA0TQajeFTF7UeKeTp6Tl27Fg7Ozs2m+3v78/hcEpLS52cnCoqKuhz8v369dN2TkpK8vLy6tWr19WrVwkhjx8/trOzGzp0KJfLbbYdMhb9bKS0tDTtfIjOJPqa71qvF6qoqDhx4sRHH300YMAAW1tbW1vboUOHBgQE1LfjdT1+/NjCwuLtt9/m8Xienp79+/dv+V8DMyQAYETxq6MAAAH/SURBVC6NRlNWVubn52djYyMQCPz8/LQPCuJyuQKBoHv37s7OzikpKdpMKi4uDg4ODgsLs7CwyM3N/eGHH8rKyhITE/v27bt69eq8vLzbt2/7+PjQnVUqVUpKipOT0/Pnz+mvUVFR77///sSJExUKxd27d3/66Sez7DhdTE5OTq3n9SkUiszMTIqiVCpVrf6nT58uKysLDg6eOnWqVCq9d+/ekSNHampq9O54XUqlcsuWLe+///6aNWskEslPP/3U8r8GSyQSNesGAAB0CYVCmUxmfP/6nmVHUZRAIJBKpUVFRU+ePGHOE+14PB59x66uF93rtkfvz1ILZkgAwGhyuTw1NfXhw4e1Ds2R/xys02g0ei9tgFYHgQQATIe8aSdwUQMAADACAgkAABgBgQQAAIyAQAIAAEZAIAFAi1KpVLVu6mxL9N4hRNr6Xjeovp+ldrcWKAUAQKuqqorNZpu7iuZCUZT24Ua62vZeN6i+n6V2txYoBQBASywWW1hYsNlss7/ZoWlRFMVms62srLSPf9XVVve6QYZ/llrwpAYAMAMbGxtbW9u2dBRLpVJVVVUZ/rPb9va6Qcb8LFoIJAAAYIR2FNQAAMBkCCQAAGAEBBIAADACAgkAABgBgQQAAIyAQAIAAEZAIAEAACMgkAAAgBEQSAAAwAgIJAAAYIT/Bxb/wdhRA9bVAAAAAElFTkSuQmCC" 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" alt="Task Editor"></div>
+<p class="rg"><b>5 nhóm</b>: Cơ bản · Lịch · Đầu vào · Phụ thuộc · Thực thi</p>
+<div class="cap">Đề xuất — bố cục mới</div>
+<p class="mut">Cùng 1 dialog <code>TaskEditorDialog</code> cho cả <b>Thêm task</b> và <b>Sửa task</b> — chỉ đổi tiêu đề (Thêm/Sửa), bố cục dưới đây dùng chung cho cả hai. Layout theo đúng kiểu màn <b>Cài đặt</b>: danh sách 5 nhóm bên trái thay cho 3 tab wizard, đúng 5 <code>QGroupBox</code> thật (không phải 3 bước tự đặt ra).</p>
+<div class="wf" id="taskwf"><div class="main dlg"><div class="ttl">Sửa task</div><div class="r grow"><div class="c w26 pane"><div class="li on" id="tel-basic">Cơ bản<span class="s">tiêu đề · loại chạy · model</span></div><div class="li" id="tel-sched">Lịch<span class="s">chạy 1 lần · lặp lại</span></div><div class="li" id="tel-input">Đầu vào<span class="s">prompt · tệp · liên kết</span></div><div class="li" id="tel-dep">Phụ thuộc<span class="s">task kế tiếp · chờ hoàn tất</span></div><div class="li" id="tel-exec">Thực thi<span class="s">thử lại · timeout · phê duyệt</span></div><div class="grow"></div></div><div class="c grow"><div id="tep-basic"><div class="frow"><span class="lbl">Chế độ</span><div class="grow"></div><div class="seg" id="tsk-mode"><span class="on" data-v="normal">Bình thường</span><span data-v="automation">Tự động</span></div></div><div class="lbl">Tiêu đề</div><div class="inp">Gửi báo cáo doanh thu hằng ngày 08:00</div><div class="lbl">Mô tả</div><div class="inp tall">Gom số liệu ngày hôm trước, dựng bảng và gửi email cho nhóm kế toán. <span class="s">✨ Sinh prompt từ mô tả</span></div><div class="lbl">Project</div><div class="inp">Báo cáo tài chính Q3</div><div class="frow"><span class="lbl">Loại chạy</span><div class="grow"></div><div class="seg" id="tsk-runkind"><span class="on" data-v="agent">AI Agent</span><span data-v="flow">Co4E Flow</span></div></div><div class="lbl">Nhà cung cấp</div><div class="inp">Ollama (local models)</div><div class="lbl">Model</div><div class="inp">qwen2.5-coder:7b <span class="s">⭳ Tải model</span></div><div class="lbl">Skill</div><div class="inp">(Không dùng)</div><div class="lbl">Ưu tiên</div><div class="inp">medium</div><div class="lbl">Trạng thái</div><div class="inp">backlog</div></div><div id="tep-sched" class="hide"><div class="frow"><span class="lbl">Bật lịch chạy</span><div class="grow"></div><div class="tsw on"><i></i></div></div><div class="lbl">Thời điểm chạy</div><div class="inp">2026-08-17 08:00 AM</div><div class="lbl">Lặp lại</div><div class="inp">Hằng ngày</div><div class="lbl">Cron (khi lặp = tuỳ chỉnh)</div><div class="inp">0 8 * * * <span class="s">— chọn mẫu có sẵn</span></div><div class="frow"><span class="lbl">Chỉ ngày làm việc (bỏ T7/CN)</span><div class="grow"></div><div class="tsw"><i></i></div></div><div class="frow"><span class="lbl">Bỏ qua ngày nghỉ lễ</span><div class="grow"></div><div class="tsw on"><i></i></div></div><div class="lbl">Mã quốc gia lễ</div><div class="inp">VN</div><div class="frow"><span class="lbl">Kênh thông báo</span><div class="grow"></div><div class="seg" id="tsk-notify"><span class="on" data-v="none">Không</span><span data-v="teams">Teams</span><span data-v="outlook">Outlook</span></div></div><div class="lbl">Email nhận thông báo</div><div class="inp">ketoan@company.com</div></div><div id="tep-input" class="hide"><div class="lbl">Prompt thủ công</div><div class="inp tall">Tổng hợp số liệu doanh thu ngày hôm trước từ file đính kèm, dựng bảng tóm tắt.</div><div class="lbl">Tệp đính kèm</div><div class="li">📄 sales_template.xlsx</div><div class="li">📄 Q3_report_outline.docx</div><div class="r tb"><div class="btn">+ Thêm tệp</div><div class="btn">🗑 Xoá</div></div><div class="lbl">Liên kết</div><div class="li">🔗 https://intranet.company.com/sales-dashboard</div><div class="r tb"><div class="btn">+ Thêm liên kết</div><div class="btn">🗑 Xoá</div></div></div><div id="tep-dep" class="hide"><div class="lbl">Task kế tiếp</div><div class="inp">(Không có)</div><div class="lbl">Chế độ chạy tiếp</div><div class="inp">Không tự động chạy tiếp</div><div class="frow"><span class="lbl">Dùng output làm input task sau</span><div class="grow"></div><div class="tsw"><i></i></div></div><div class="lbl">Chờ các task này xong (fan-in)</div><div class="li">☑ Gom số liệu doanh thu</div><div class="li">☐ Dựng slide trình bày Q3</div></div><div id="tep-exec" class="hide"><div class="lbl">Số lần thử lại</div><div class="inp">0 lần</div><div class="lbl">Timeout</div><div class="inp">600 giây</div><div class="frow"><span class="lbl">Cần phê duyệt (chờ bấm Chạy ngay)</span><div class="grow"></div><div class="tsw"><i></i></div></div></div><div class="grow"></div><div class="r tb end"><div class="btn">Huỷ</div><div class="btn pri">Lưu</div></div></div></div></div></div>
+<script>
+(function(){
+  var panels=['basic','sched','input','dep','exec'];
+  panels.forEach(function(p){
+    document.getElementById('tel-'+p).addEventListener('click',function(){
+      panels.forEach(function(q){
+        document.getElementById('tel-'+q).classList.toggle('on',q===p);
+        document.getElementById('tep-'+q).classList.toggle('hide',q!==p);
+      });
+    });
+  });
+  Array.prototype.forEach.call(document.querySelectorAll('#taskwf .tsw'),function(t){
+    t.addEventListener('click',function(){t.classList.toggle('on');});
+  });
+  Array.prototype.forEach.call(document.querySelectorAll('#taskwf .seg'),function(seg){
+    Array.prototype.forEach.call(seg.querySelectorAll('span'),function(s){
+      s.addEventListener('click',function(){
+        Array.prototype.forEach.call(seg.querySelectorAll('span'),function(x){x.classList.remove('on');});
+        s.classList.add('on');
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+})();
+</script>
+<details class="ctl"><summary>Kiểm kê control — <b>26</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>self.task.get('title', </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:96</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>self.task.get('description', </td><td class="mut">ô nhập nhiều dòng</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:100</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td></td><td class="mut">nút</td><td><code>self._gen_prompt_from_description</code></td><td class="mut">ui\task_editor_dialog.py:102</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._refresh_model_combo</code></td><td class="mut">ui\task_editor_dialog.py:135</td><td class="mv">→ menu tài khoản ở đáy sidebar</td></tr><tr><td>Tải danh sách model của provider này</td><td class="mut">nút</td><td><code>self._load_live_models</code></td><td class="mut">ui\task_editor_dialog.py:147</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>AI agent = chạy một agent Cowork với model đã chọn. Co4E flo</td><td class="mut">droplist</td><td><code>self._on_run_kind_changed</code></td><td class="mut">ui\task_editor_dialog.py:170</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Flow Co4E đã lưu mà task này sẽ chạy (có sẵn hoặc của bạn).</td><td class="mut">droplist</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:176</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thông thường = chạy một lần (hoặc thủ công). Tự động = cronj</td><td class="mut">droplist</td><td><code>self._on_task_mode_changed</code></td><td class="mut">ui\task_editor_dialog.py:188</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Bật lịch chạy</td><td class="mut">ô tick</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:217</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._on_repeat_changed</code></td><td class="mut">ui\task_editor_dialog.py:232</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>sched.get('cron_expression') or </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:238</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Chọn một lịch mẫu — sẽ điền đúng cú pháp vào ô cron.</td><td class="mut">droplist</td><td><code>self._on_cron_sample</code></td><td class="mut">ui\task_editor_dialog.py:242</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Chỉ ngày làm việc (bỏ T7/CN</td><td class="mut">ô tick</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:258</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Bỏ qua ngày nghỉ lễ</td><td class="mut">ô tick</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:260</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>sched.get('holiday_country', 'VN') or 'VN</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:262</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._on_notify_changed</code></td><td class="mut">ui\task_editor_dialog.py:274</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>ex_sched.get('notify_email', '') or </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:280</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>inp.get('manual_text') or </td><td class="mut">ô nhập nhiều dòng</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:313</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">nút</td><td><code>self._add_files</code></td><td class="mut">ui\task_editor_dialog.py:324</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">nút</td><td><code>lambda: self._remove_selected(self.files_list)</code></td><td class="mut">ui\task_editor_dialog.py:328</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">nút</td><td><code>self._add_link</code></td><td class="mut">ui\task_editor_dialog.py:349</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">nút</td><td><code>lambda: self._remove_selected(self.links_list)</code></td><td class="mut">ui\task_editor_dialog.py:353</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._check_chain</code></td><td class="mut">ui\task_editor_dialog.py:376</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Dùng output task này làm input task sau</td><td class="mut">ô tick</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:385</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Cần phê duyệt (không tự chạy theo lịch; chờ bấm Chạy ngay</td><td class="mut">ô tick</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:421</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>QDialogButtonBox.Save | QDialogButtonBox.Cancel</td><td class="mut">nút hộp thoại</td><td><code>—</code></td><td class="mut">ui\task_editor_dialog.py:430</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li><b>Năm group</b> dọc — form dài nhất app, không thấy đang ở bước nào.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Đổi sang layout <b>danh sách bên trái + panel bên phải</b> giống màn Cài đặt (thay vì chia tab) — 5 mục danh sách khớp đúng 5 <code>QGroupBox</code> thật (<b>Cơ bản · Lịch · Đầu vào · Phụ thuộc · Thực thi</b>, xem <code>ui/task_editor_dialog.py</code>), luôn thấy đang ở nhóm nào và còn bao nhiêu nhóm nữa — nhất quán với cách điều hướng ở Cài đặt thay vì mỗi màn một kiểu.</li></ul></div>
+</div></div></section><section class="sec" id="dialog-skills">
+<div class="hd"><b>19. Skills manager</b><span class="tag">ui/skills_dialog.py:108</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Quản lý skill — khối hướng dẫn tái dùng, gõ <code>/skill</code> để chèn.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" src="data:image/png;base64,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" 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" 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" alt="Skills manager"></div>
+<p class="rg"><b>Ô tick</b>: chính là bật/tắt skill</p>
+<div class="cap">Đề xuất — bố cục mới</div><p class="mut">Giữ nguyên bố cục bên trong; chỉ đổi thanh menu sang danh sách phẳng.</p>
+<details class="ctl"><summary>Kiểm kê control — <b>13</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>skill.name if skill else </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\skills_dialog.py:34</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>skill.description if skill else </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\skills_dialog.py:39</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tạo từ mô tả</td><td class="mut">nút</td><td><code>self._gen_instructions</code></td><td class="mut">ui\skills_dialog.py:44</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>skill.instructions if skill else </td><td class="mut">ô nhập nhiều dòng</td><td><code>—</code></td><td class="mut">ui\skills_dialog.py:50</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>QDialogButtonBox.Save | QDialogButtonBox.Cancel</td><td class="mut">nút hộp thoại</td><td><code>—</code></td><td class="mut">ui\skills_dialog.py:55</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tự động tạo</td><td class="mut">nút</td><td><code>self._auto_generate</code></td><td class="mut">ui\skills_dialog.py:127</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Từ file template…</td><td class="mut">nút</td><td><code>self._from_template</code></td><td class="mut">ui\skills_dialog.py:132</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Nhập…</td><td class="mut">nút</td><td><code>self._import</code></td><td class="mut">ui\skills_dialog.py:136</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xuất .md</td><td class="mut">nút</td><td><code>self._export_md</code></td><td class="mut">ui\skills_dialog.py:140</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Nhân bản</td><td class="mut">nút</td><td><code>self._duplicate</code></td><td class="mut">ui\skills_dialog.py:144</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Sửa</td><td class="mut">nút</td><td><code>self._edit</code></td><td class="mut">ui\skills_dialog.py:148</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Xóa</td><td class="mut">nút</td><td><code>self._delete</code></td><td class="mut">ui\skills_dialog.py:151</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Đóng</td><td class="mut">nút</td><td><code>self.accept</code></td><td class="mut">ui\skills_dialog.py:154</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Bố cục hiện tại giữ nguyên; chưa phát hiện vấn đề sắp xếp nghiêm trọng.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Chỉ áp thanh menu phẳng mới; nội dung bên trong giữ nguyên.</li></ul></div>
+</div></div></section><section class="sec" id="dialog-skill-edit">
+<div class="hd"><b>20. Skill editor</b><span class="tag">ui/skills_dialog.py:23</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Soạn skill: tên, mô tả, hướng dẫn.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" src="data:image/png;base64,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" 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" 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" alt="Skill editor"></div>
+<p class="rg"><b>✨</b>: sinh hướng dẫn từ mô tả ngắn</p>
+<div class="cap">Đề xuất — bố cục mới</div><p class="mut">Giữ nguyên bố cục bên trong; chỉ đổi thanh menu sang danh sách phẳng.</p>
+
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Bố cục hiện tại giữ nguyên; chưa phát hiện vấn đề sắp xếp nghiêm trọng.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Chỉ áp thanh menu phẳng mới; nội dung bên trong giữ nguyên.</li></ul></div>
+</div></div></section><section class="sec" id="dialog-file-edit">
+<div class="hd"><b>21. File view &amp; AI edit</b><span class="tag">ui/file_edit_dialog.py:50</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Xem và nhờ AI sửa tệp, mở từ panel Files trong chat.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" src="data:image/png;base64,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" 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" 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" alt="File view &amp; AI edit"></div>
+<p class="rg"><b>Tệp nhị phân</b>: trích văn bản, chỉ đọc · <b>Lưu</b>: tạo .bak trước khi ghi</p>
+<div class="cap">Đề xuất — bố cục mới</div><p class="mut">Giữ nguyên bố cục bên trong; chỉ đổi thanh menu sang danh sách phẳng.</p>
+<details class="ctl"><summary>Kiểm kê control — <b>8</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>sp</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\file_edit_dialog.py:66</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mở file khác…</td><td class="mut">nút</td><td><code>self._browse</code></td><td class="mut">ui\file_edit_dialog.py:68</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tải lại từ đĩa</td><td class="mut">nút</td><td><code>self._reload</code></td><td class="mut">ui\file_edit_dialog.py:73</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Mở một file để xem hoặc chỉnh sửa.</td><td class="mut">ô nhập nhiều dòng</td><td><code>—</code></td><td class="mut">ui\file_edit_dialog.py:84</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Nói cho AI cách sửa file này (vd: 'sửa lỗi chính tả', 'dịch </td><td class="mut">ô nhập</td><td><code>self._ai_edit</code></td><td class="mut">ui\file_edit_dialog.py:94</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Sửa bằng AI</td><td class="mut">nút</td><td><code>self._ai_edit</code></td><td class="mut">ui\file_edit_dialog.py:97</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Lưu</td><td class="mut">nút</td><td><code>self._save</code></td><td class="mut">ui\file_edit_dialog.py:106</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Đóng</td><td class="mut">nút</td><td><code>self.reject</code></td><td class="mut">ui\file_edit_dialog.py:110</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Bố cục hiện tại giữ nguyên; chưa phát hiện vấn đề sắp xếp nghiêm trọng.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Chỉ áp thanh menu phẳng mới; nội dung bên trong giữ nguyên.</li></ul></div>
+</div></div></section><section class="sec" id="dialog-co4e-agent">
+<div class="hd"><b>22. Co4E agent editor</b><span class="tag">ui/co4e_agent_dialog.py:23</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Định nghĩa agent Co4E: tính cách, quyền, model, skill.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" src="data:image/png;base64,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" 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" 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" alt="Co4E agent editor"></div>
+
+<div class="cap">Đề xuất — bố cục mới</div><p class="mut">Giữ nguyên bố cục bên trong; chỉ đổi thanh menu sang danh sách phẳng.</p>
+<details class="ctl"><summary>Kiểm kê control — <b>9</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>agent.name</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\co4e_agent_dialog.py:32</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>agent.role or 'AGENT</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\co4e_agent_dialog.py:34</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>agent.instructions</td><td class="mut">ô nhập nhiều dòng</td><td><code>—</code></td><td class="mut">ui\co4e_agent_dialog.py:42</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Soạn bằng AI</td><td class="mut">nút</td><td><code>self._ai_draft</code></td><td class="mut">ui\co4e_agent_dialog.py:46</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>getatagent, 'context', </td><td class="mut">ô nhập nhiều dòng</td><td><code>—</code></td><td class="mut">ui\co4e_agent_dialog.py:59</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tải danh sách model</td><td class="mut">nút</td><td><code>self._load_models</code></td><td class="mut">ui\co4e_agent_dialog.py:68</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Đính kèm tệp</td><td class="mut">nút</td><td><code>self._add_attachment</code></td><td class="mut">ui\co4e_agent_dialog.py:99</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Bỏ</td><td class="mut">nút</td><td><code>self._del_attachment</code></td><td class="mut">ui\co4e_agent_dialog.py:102</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>QDialogButtonBox.Save | QDialogButtonBox.Cancel</td><td class="mut">nút hộp thoại</td><td><code>—</code></td><td class="mut">ui\co4e_agent_dialog.py:113</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Bố cục hiện tại giữ nguyên; chưa phát hiện vấn đề sắp xếp nghiêm trọng.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Chỉ áp thanh menu phẳng mới; nội dung bên trong giữ nguyên.</li></ul></div>
+</div></div></section><section class="sec" id="dialog-ext-connector">
+<div class="hd"><b>23. External connector</b><span class="tag">ui/ext_connector_dialog.py:23</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Khai báo kết nối ngoài, 2 chế độ.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" src="data:image/png;base64,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" 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" 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" alt="External connector"></div>
+<p class="rg"><b>MCP (stdio)</b>: lệnh + tham số · <b>REST</b>: URL · key · header · <b>Test</b>: thử kết nối thật</p>
+<div class="cap">Đề xuất — bố cục mới</div><p class="mut">Giữ nguyên bố cục bên trong; chỉ đổi thanh menu sang danh sách phẳng.</p>
+<details class="ctl"><summary>Kiểm kê control — <b>11</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>—</td><td class="mut">droplist</td><td><code>self._apply_preset</code></td><td class="mut">ui\ext_connector_dialog.py:35</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>connector.get('name', </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\ext_connector_dialog.py:43</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>—</td><td class="mut">droplist</td><td><code>lambda i: self.stack.setCurrentIndex(self.mode_combo.currentData() != </code></td><td class="mut">ui\ext_connector_dialog.py:47</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>connector.get('command', </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\ext_connector_dialog.py:59</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td> '.join(connector.get('args', []) or []</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\ext_connector_dialog.py:62</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>connector.get('base_url', </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\ext_connector_dialog.py:69</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>connector.get('api_key', </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\ext_connector_dialog.py:72</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>connector.get('auth_header', 'Authorization</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\ext_connector_dialog.py:75</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>connector.get('auth_scheme', 'Bearer</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\ext_connector_dialog.py:77</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Kiểm tra kết nối</td><td class="mut">nút</td><td><code>self._test_connection</code></td><td class="mut">ui\ext_connector_dialog.py:90</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>QDialogButtonBox.Save | QDialogButtonBox.Cancel</td><td class="mut">nút hộp thoại</td><td><code>—</code></td><td class="mut">ui\ext_connector_dialog.py:103</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Bố cục hiện tại giữ nguyên; chưa phát hiện vấn đề sắp xếp nghiêm trọng.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Chỉ áp thanh menu phẳng mới; nội dung bên trong giữ nguyên.</li></ul></div>
+</div></div></section><section class="sec" id="dialog-permission">
+<div class="hd"><b>24. Permission request</b><span class="tag">ui/permission_dialog.py:13</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Chốt chặn cuối trước khi agent làm việc có hậu quả. Bật Tự chạy thì bỏ qua bước này.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" src="data:image/png;base64,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" 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Pz/79+/fu3bvu90fvYH5+fs8++2z9LREREb179z5x4oQ7uyckJHTu3Ll1luZEs9Z2i9rJt4GHh8f8+fNVKtVtXIMrbXz1AbSBW3ok+tRTT3Xt2lUIcfPmzb179zb45cu7weOPPx4WFrZ9+3bp5wBbT5utjW8DAHetFns6FwCAu82d9ldcAABoM0QUAABJRBQAAElEFAAASUQUAABJ7n7GWGWvyaX9Zpu9ZD4ZFQCAjkJTelmTl+af9hd3Brv1Ky43Hl6rrcwOPfuJR03ZLS8PAID2q0oXWRzyQGHomPDPH2lysKrJP7tR2Wuy2tu3e9oqlcXU+EgAADo6D1OprvCkVeVh8g7yLG7ij0g2/Zpoab/ZoWc/aaG1AQDQAQRd21caO6fJYU1H1Oyl51lcAMBdxcNUYtY0/Ud/eXcuAACSiCgAAJKIKAAAkogoAACSiCgAAJKIKAAAkogoAACSiCgAAJKIKAAAkjpARIODg997770+ffq06iwLFixYs2bNmjVr4uLiGt/Y4SiVyjVr1uh0utabom2uEQC0Nx0gorcoMTExJiamyWGrVq2aN29ednZ2kxvhJjfPfCvtDgBtwN2/J3ob3bx586WXXpLe/Z577lEq7/z/Vri9nF6jWzzzXDgA7V9LRnT16tWbNm2aNGmSp6fnzp07d+7cad/46aefTpgwwdfX98CBA9u2bRs7dmxoaGhsbOzVq1dLSkpGjBiRnJycnp7u9JgLFiywP5W6atWqU6dONTJRSEjI7Nmzw8PDNRrNjz/+uG7duoSEhNGjRwshkpKS7Du+9tpreXl5zzzzzMiRI61Wa3Fx8ddff/3DDz+04ElokuM6hRCOSxo1atRDDz20fPnyuvNw+fLlHTt2BAUFzZkzJyoqymAw7Nq167vvvnM1Ubdu3Z544onu3bvX3+i4u6uJHA/oaqTjNXJ15p0u3v0LJ3fCAaD1tPAj0UGDBq1YsSIwMHDJkiX79+83Go1CiMGDB7/33nteXl6//OUvT5w4IYQYOnToypUrX3311UOHDu3evTsuLs5VRFetWiWEqPvB3chEjz76aFZW1rvvvms2m+1jUlJSUlJSli9fvnXr1jNnztTtu379+vXr1yuVyvDw8KVLl6amptbW1rbseWiE4zqdLunIkSMzZswIDQ29fv26Vqvt1avXhg0bFArFz3/+8y1btiQnJwcFBS1cuDAzM9Pps81qtXrBggX79+9PTk7WarVvvfWWEMLp7k4ncrpyVyMdr5HTM+9q8e5fOABob1o4ohs2bCgpKSkpKbFarX5+fvaIbtiwobCwUAiRkZERGRkphDh27NiNGzfMZvPOnTsHDRrk5+d36xOlpaVNnz5dpVKlpaVdvHixkX0HDhz4yCOP3HPPPWq1Wgjh7e196xEdNGhQYmKi/eutW7faHxw73eh0nY5LKi8vP3z48JAhQ65fvz5gwIATJ06Ul5d369YtNDS07vGZECI8PDw7O9txorCwME9Pz927dwsh6u5d165dne7uOJHT+2g2m90c6ZSr2d2/cADQ3rRwRK1Wq/0Lm82mUCga3Orp6VldXe3t7W2xWOxbpOvlONHhw4fT09Pj4+NnzZpVWlr6xz/+0emOXl5e8+bNW7du3fHjx4UQH330kdwCGjh27Ni8efPc2ei4TldL+u6771566aVt27YNGTJk+/btQgiVSlVbW/vCCy/YbLbGJ9JoNDU1NfavPT097V+42t1xIlfcH+nI1exuXjgAaIfa4o0ber3ew8NjyJAhoaGhFy5caL2JioqK/vGPf3zxxRfR0dF170mpqKjo16+f/RGeEMLLy0utVufn5/v7+8+cObP1FuP+Ol0tqaCgoKCgoG/fvlqtNjMzUwiRm5tbWVk5c+ZMrVbb+BQ5OTl6vT46Olqv1ycmJtq75Wp3x4lccX+kcDjzjSzenQsHAO1QW/yEWrRokRAiOzs7OTm5pKSkWfu+88479l9wXLBggRBixYoVV65ccTryjTfe6NKli9VqLSwsXL9+fd1D1b/97W9PPvlkcnKyUqm0vz9lx44dixcvNhqN3333ncFgaGQi92d3n+M6y8vLnS5JCLF///5Zs2bZn5UVQpjN5uTk5JkzZ/72t7/VaDRCiKSkpKqqKsdZysvLP//883nz5lksli1btoSFhTW+e4OJGuE40tVZcjzzTmd3/8LJnG4AaE2KiIiIxkdcnbUjfleC9ASrV69++eWX7a+JAgDQUaQ9lBLx2eTGx/B7eAAASCKiAABIavXXRJ977rnWngIAgNuCR6IAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEgiogAASCKiAABIIqIAAEhqOqKa0stVusjWXwkAAO1Fla67pjSzyWFNR9QrL6045IGWWBIAAB2D0S9Mk3usyWEqvV7f+AhNXlruyF9aVZ6aylyVxdhCywMAoD2q0nUvD+p/re+zwXuXNjlYERER4c5BK3tOLI2dY9Z0uuXlAQDQfmlKMzW5x/xPbHBnsLsRBQAADfDuXAAAJBFRAAAkEVEAACQRUQAAJBFRAAAkqW/3AgDgLmL2DTZ2GWjWBNzuhTSD2liiyTuuNtxsZEyQUhnrodIrFG22qtZTarOdrrUUWK3uDCaiANBGDN1/Ujx0gU3pcbsX0mwKa22no6t8s/Y5vfV+T/WzWs2dlBOzEGsrjQdrzE2O5OlcAGgLZt/gDlpQIYRN6VE8dIHZN9jxpiCl8g4rqBBCLcSzWk2QsulEElEAaAvGLgM7aEHtbEoPY5eBjttjPVR3WEHt1ELEeqiaHEZEAaAtdKzXQZ1yehfujNdBnXLnrhFRAAAkEVEAACQRUQAAJBFRAAAkEVEAACQRUQAAJBFRAMCdLPq9P0W9+t+tdHAiCgB3uJ/G+Zf8d5/fTXLyeUPthEKl6vvR2sikhe7vovLxGZV2ptucBKe3qv38Bn2za+BX33R6YKxXcHDW2ysVSmXkwsV+sf1baMn/mahlDwcAaBFXlvaK0HsIISprrBlFNdvOlr9zsMhQ49anotcX5u/xytjO/d7N3DQrdMK9vnsuGYQQL4zo9HC030N/udry625U7PoU3YD4+lusNTU/DBtos1guLFkYt+HTksMHy1L/JYQY8MXWS68sq7x0UW6iHi+/lrN+rUenTgH3jz4xa4YQQuXr23nCRNP16xWnT976HalDRAGgndqbUfnOwcJ7fNUjw31eHRf0WD/diD9nVdU2r6PZZbVxf8wUQtz/UVbdxhHhPiG62/AZhFf+8Du1n84zOLjn8l9fX7+2PDXVZrXYbzKXlx9/dKr9a7Wfn2dQkKW6Snqii7/8RYMtFoMh9f+Nlz6gKzydCwDtVE557d8vGj45Xpr41Y2nN+fEddE8PyygX7CXbWXfKX387GPSF/b8eEaIEOLIz3ucTIqyb9RrVLUrYhKHdRJCROg9djwdUfar6LP/1XPCvb5CiL3PRs4Z4N832Mu2su+zQ9r0wwgrTp8q+f5QedpxIUTlhQsl3x8q/fEHn573jko702n0A/YxA7d9E79t+7U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" alt="Permission request"></div>
+<p class="rg"><b>Xem trước</b>: lệnh sắp chạy hoặc diff sắp ghi</p>
+<div class="cap">Đề xuất — bố cục mới</div><p class="mut">Giữ nguyên bố cục bên trong; chỉ đổi thanh menu sang danh sách phẳng.</p>
+
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Bố cục hiện tại giữ nguyên; chưa phát hiện vấn đề sắp xếp nghiêm trọng.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Chỉ áp thanh menu phẳng mới; nội dung bên trong giữ nguyên.</li></ul></div>
+</div></div></section><section class="sec" id="dialog-agent-edit">
+<div class="hd"><b>25. Admin agent editor</b><span class="tag">ui/agents_admin_tab.py:35</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Soạn agent hệ thống: gắn vào chức năng nào, provider/model gì.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" src="data:image/png;base64,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" 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" 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" alt="Admin agent editor"></div>
+
+<div class="cap">Đề xuất — bố cục mới</div><p class="mut">Giữ nguyên bố cục bên trong; chỉ đổi thanh menu sang danh sách phẳng.</p>
+
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Bố cục hiện tại giữ nguyên; chưa phát hiện vấn đề sắp xếp nghiêm trọng.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Chỉ áp thanh menu phẳng mới; nội dung bên trong giữ nguyên.</li></ul></div>
+</div></div></section><section class="sec" id="dialog-login">
+<div class="hd"><b>26. Login (dead screen — not wired)</b><span class="tag">ui/login_dialog.py:57</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Màn đăng nhập — <b>đã dựng xong nhưng không nơi nào gọi</b>. App khởi động thẳng với user \“local\”, quyền admin.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" src="data:image/png;base64,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" 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" 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" alt="Login (dead screen — not wired)"></div>
+<p class="rg"><b>3 trang</b>: Khởi tạo · Đăng nhập · Offline</p>
+<div class="cap">Đề xuất — bố cục mới</div><p class="mut">Giữ nguyên bố cục bên trong; chỉ đổi thanh menu sang danh sách phẳng.</p>
+<details class="ctl"><summary>Kiểm kê control — <b>9</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>Thoát</td><td class="mut">nút</td><td><code>self.reject</code></td><td class="mut">ui\login_dialog.py:87</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>self.ctx.config.shared_dir</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\login_dialog.py:121</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Chọn…</td><td class="mut">nút</td><td><code>self._bs_browse</code></td><td class="mut">ui\login_dialog.py:122</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Tạo tài khoản Admin</td><td class="mut">nút</td><td><code>self._bs_create_admin</code></td><td class="mut">ui\login_dialog.py:137</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>cached_code</td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\login_dialog.py:186</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>self.ctx.config.auth.get('last_department', </td><td class="mut">ô nhập</td><td><code>—</code></td><td class="mut">ui\login_dialog.py:199</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Đăng nhập</td><td class="mut">nút</td><td><code>lambda: self._do_login(shared_dir)</code></td><td class="mut">ui\login_dialog.py:209</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>login.offline_btn', role=role</td><td class="mut">nút</td><td><code>lambda: self._finish_login(Account(username=username, role=role, code=</code></td><td class="mut">ui\login_dialog.py:256</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>Thử lại</td><td class="mut">nút</td><td><code>self._retry</code></td><td class="mut">ui\login_dialog.py:263</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Bố cục hiện tại giữ nguyên; chưa phát hiện vấn đề sắp xếp nghiêm trọng.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Chỉ áp thanh menu phẳng mới; nội dung bên trong giữ nguyên.</li></ul></div>
+</div></div></section><section class="sec" id="overlay-help-panel">
+<div class="hd"><b>27. Help dock — expanded panel</b><span class="tag">ui/help_agent_widget.py:79</span><span class="sw"><button data-t="dark" class="on">Tối</button><button data-t="light">Sáng</button></span></div>
+<div class="bd">
+<p class="lead">Robot trợ giúp nổi, có mặt trên mọi màn. Cố tình không có công cụ.</p>
+<div class="cap">Hiện tại</div><div class="shot"><img class="shotimg" src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAVQAAAHMCAYAAACKp1CbAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAgAElEQVR4nO3deXwV9b3/8fecc5KcbJCEECDsq0AImyAiVihCteXXat1qtcXHr7bl9td6rVYfrfXWSlspdasLtd5qq2ipta3e61KtC1XAABIWWQLIIiZsgQRC9pOzze+PmGNCctZ8Q0Bez8cjCmdmvvOdOZM3s37GGjx4sK1PuN1uSZLT6ZRlWQIAtGfbtgKBgPx+v/x+f+hzlyQ5HA6lpaXJ5/NJsuTz+cO1AwCQZFmWkpNTlJSUJI/HI9u25ZCktLQ0eb0+2XZz8gIAIrNtO7R3mp6eLklyud3uT/ZMAQDxCgSCsm0pJSWleQ9V4nwpACTKtm05HA45nE4nh/kA0AmhQOVqPgB0nmVZLYf8AIDOIlABwBACFQAMIVABwBBXIhPZstTk7iOvs4dkJZjJdlDJgRqleI7IEncZADjzJRSoTSl58lg9pKD0yX8S4rF6SCm23E1HEm4DAE4XCe1eNlkZsoNB2cGgZNuaPXG0rpwxMfRZPD9NVobpZQKAbpHgIb8ku3nPNDU9U/9507fVOzWgCWOHa9GTf1Oj31aaS0p2WDrhjXw4b3MfLIDPiMROgNpB2Z/8DBlzjsaOzFV+fi9ddMFUJTst3f+jb2jPe8/owzV/0T+X/ESZyc7Q+Cf/tAQzAJzpEgpU2/70kL1vfr5qj9crLc2l0YWDdP6EsUpJSdXm7Xu1e2+ZPiw9pGkTx4Q/7CdQAXxGJByo+uTnyOEjWrutQrbPJ/madPnMycroN0onrH460pSl/qPP1bFjx0Pjn/zTXYHqdrv13HN/0Ze+9MU2n8+aNVMPPHC/MjI4twsgPgmdQ1UwGCqosvODDdo+bZbG7KuTyyV95eovKMnpCN0IFQym69wnfqUH7n1CT762Qp5A2wC1guHPoS5ceLdGjRrV7nOfz6f5829IqOuRDB48WJdddpnuuWeR6urqoo5/yy0/1Hnnnacnn/yjli9fbrw/AM4siQWqHZSCzZHpra3Ri6/+XbbjSl0/Z5RcLWFqSbKlBk9Afsuhb3/vBs28aIq++eP75PG3CtUIF6WeffbPyshIV3Z2jr773e/opZde1s6dOxQIxL5Xe+65k3XppZfqnnsWRR23tLRUt9xya0ztZmRkaPLkydq2bZtmzryIQAWQ4FV+225zqF62Y4tOTJ+g4fmTZFn69DZ9S8pIS1IgaCs1LVkBjdZPF3xNP1uyrFVb4c867NmzR5KUn58vqTnwPvhgc+hw/dVXX9WkSZNUUVGh3/zmXuXm5uqb3/yGxowZo0AgqGPHKpWdna2XXnop4vL86le/VFJSkn78459Iaq6+/Yc//Leeeuppvf322x1Oc+GFF6qyslLPPfec7rnnHvXr10+HDx+W1Hw64amn/qQXXnhBgwcPUWHhOJWXl+sPf/iDPvpoX9ThAMxyu93q3bt31PEqKirk8XgSnk/iF6VO+vnKJdObh508siU5HZbcLsnlTtV3v3W1RuT1bHulP0Gf+9zn9Mgjj+o3v7lXLpdLd9zxE/Xr10+PPPKonnrqKeXm5mr37j168823IrazcuVKDRo0SLm5uZKkyZMnKRgMas2aNWGnmTVrplauXKWPPtqnAwcOaObMme3GmTNnjoqLi3XfffcrJSVFN998sxwOR8zDAXSeZVnKyMjQyJEjdc4554T9GTlypDIyMjr1gtLEfnuDbS8sWa5k9c7KlGTLan4xlSw1H/Vbti1LQTXU1auiqk4uZ0CzL5j06fTBxAN17dq1KisrkyQVFBQoPz9ff/zjn7Rt2zatW7dOr7zyqqZNOy/0vpdwiopWy+/3a/LkSZKkKVOmaNOmTaqvr+9w/MGDB2vQoEF67733JEmrVq3S5z53YbswLCparZUrV6qkpER///s/lJeXp/79+8c8HEDn2baturo67d69Wx9++GHYn927d6uurq5TBfcTPOT/5CmpT1h2QPvKjml4TrLc7iRZjtbH/bbsoHT0WI0OHpNyUj2qONEUmt7uxH39FRWVoT/36ZMnSTp06FDosyNHyiVJOTk5YcNRkurr67Vx40ZNmjRZ77zzrsaPH6/HHvt92PFnzZopy7L0yCMPt/m8sHCcNm/e0mr+nz5Se+JElaTmc68VFRURhwMwy+PxaP/+/V0+n8QvSrU6VA82NerNDR+pT3q6xo/MUkpy25S0Je2rDGp7hVfb9x7Sv9es+3T6TtRFaX264NixY5Kkvn37qra2VpKUl9ccspWVle0nPsnKlat0883/qSlTpigQCGjTpk0djudyuTRjxgz961//0tq174c+/9a3/q9mzpzZJlB79OgR+nPLnmdlZUXMwwGcWRLfQz3p3OeLzz2tC6Y/rvLiauVkOJWZ7pTD4VCjN6hqn6WdDcl64x9PyXtsv45/EnjNbXVuAVps3bpNFRUVuvHGb+nPf14mt9utL3/5K1q1apUaGxujTr9p0yY1NDToa1+7RqtXrwm9HvZkkydPVmZmpt59d4VKS0tDnxcXr9dXvvJlpaenKxAISJLmzp2jffv2KRDw6/LLL9f27TtUUVEpt9sdcTiAM1OC96HabQ75JanuaLmCdXXyZffUfl9QLo8z9N5qlyV5Dx9U8Xv/bt+WoWf5vV6vFi36tW64Yb5++MOb1dTUpLVr1+ivf30+pumDwaCKilbrS1/6ot57L/Lh/okT1aFzty02bdqkK6+8Queff76KiookSatXr9YVV3xV+fn5+vDDD/Xf//2HNtNEGw7gzJLwHurJz+DbdlDBuo91xawLtOtAg44GkuSp82rMQLfyc1P0qzU7O3xu347hJOqhQ4f09a9fF/q7x+Np8/cW5eXl+s1v7o1pGTpqIzk5SeXl5dq1a1fY6e69974OP9+7d2+ovZY90IqKCi1d+kzYtqINB3BmSfgcake3O93641/ory+er+yePdU7NV1Jyckqzu0hv8+rVUXFkuz2V9A6c1UqjDvv/KmKi9frzTffjGn8jIx0TZkyVbNmzdKf/vSU8f4AODskFKipLr/qfO1PfnrqarRyeWwhFmorxXy1/mAwqHiudt1447c1btw4vfTSS3rnnXeM9wfA2cEqKCiwvV5fXBPZkmp9LjV4E395iSUpLdlWZpJfVEQFcKZLTk5KbA/VktQjya8eSYZ7BABnMJ5zBABDCFQAMIRABQBDCFQAMIRABQBDCFQAMIRABQBDCFQAMIRABQBDXFLzI1MAgM5xSZLX65Nt22pq8sjvD3TqxXkAcDawLIdcLqdSUtyyLOvTZ/lbXmLVqfeRAMBZxLaD8vmC8vn8oXfBOSSpqckjwhQAEmF/kqGfBKrfH+jW7gDAmazlPXIOSZwzBYBOCH7yjj1umwIAQwhUADCEQAUAQ+J6BUq/fv26qh8AcFo6fPhwzOOyhwoAhhCoAGAIgQoAhhCoAGAIgQoAhhCoAGAIgQoAhhCoAGAIgQoAhhCoAGBIXI+eRnLJ3Rcre0h2h8M2/uUD7XpzT6faz+yXqXm/vkQ1h2v12h1vhD5PSk3SF+6aLU9Nk1Y8+J78Tf6I7Xzh5xcrZ2i2fB6//vemVxTwUQsWgBln9B6qZVm64P9NU1OdN6YwTc9NV87QbNlBW0lul/qMzTtFPQVwNjC2h/rG3cslSb2G52juz2a325OM1YBz+2vG98/XPxb8b9S9R9u2teKB92Jue+DUAZKkAxsOauDUARo4pb8ObY698AEARGIsUCNpfbj+8epSjZ03Wq/c9pqS0pI08doJyh3RS+4eKaHx647UKeiP/BaBS381V1kDemrtH9bp49VlSstJ01ce/JJqy2v1z590HOQDp/aXbdva8o9t6j85X/mT8mU5LNlBu00ft76wTed+c5KCQVsf/muXPnxjd9ThAHBKD/lTMlNU+NUCudwuJbldmv2TmRowOb9NmNZX1uuNu5fLtiO/NHDPOx9JkvIn5kuS+k9qLi348eqyDsdP65WmXsNyVPXxCdUeqVPFrkqlZCSrz5je7fo47TtT5e7pVlp2qiZ9fYJ6Dc+JeTiAs9epDdSMZBX9bq1e/MHLyhuTp7ScNJ3YX62Xb/mnXvrhP1V9sEbpuenKHdkralulRaXyN/nVr7CPHC6H8lsCdU3HgTrok8P9Q1uaD/HLtx6R1HyKobUkt0vv3r9KL3zvJZWXHJUk9RvfN+bhAM5epzRQG4436sCGg/LWeZWWmyZJKt9aroaqRjWeaNTRnRWSpMy+GVHb8nn8Kl1TpqTUJA2YnK8+o/NUufuY6ivqOxy/5fzpuMvG6tqnr9KEawolNQeq5bBC49WU16py9zH5Gn2q+LC5P8npyTEPB3D2OqWB2voqfOPxRklSn4I8uXu6lZqVqj5j8toMi2bPO/skSQWXjZXD5Qi7d5qWk6qcYR3f0uXu6W5zyJ6Zl6HsQVly93RrwOTm0wmtQzracABnr1NyUaoj+9cfVOGV45Q9OFuXP/x/Qp/XVdTr8CeH49FUlVbp2EfH1WtYjoKBoMrW7e9wvIFTB8iyLFXsqtTyRe+GPr/wpukacG5/DZo6ULvf2Sup+c6BLyy8WJbVvNca8AZUuna/ktKSIg4HgG67D9Vb79U7i1fo8JZyeeu9aqpt0oENB/XuvSuj3k/a2uEt5aH/e+u8HY7Tcri/f/2BNp/vX39QkjTg3PzQZw3HG7Xtxe3ye/w6sb9aK39bJE+1J+bhAM5eVkFBgX3s2LGYRj7dXtKXmpWqi++cpYze6Vr1yGod3Hgo4bbCPYkV63AAn02xvqSvV69e3XfI39olv5ijxuONWvlQUczTzPjBdA2c0nyFvqq0Soc+4AZ9AN3rtAjURAUDQVXsqtS6J9fLDka+bxUAutoZfcgPAF0tnkP+M7o4CgCcTghUADCEQAVwxujdu7ceffRRjR8/vru70qFTFqiWZWnhwoXKyTFXSGTJkiXq0aNHh8NcLpduv/12DRs2rEvnY0Jn249l+tzcXN15551KS0vrkva7g9Pp1M0336zvfe97p3S+Jrat1uvU5LYaTUe/h6NHj9bixYs1bty4Lp9/uD7EqrKyUs8884wmTpzYBT3rPGOBOm7cOD300EPKyPj0Ofzc3Fw99NBD6tOnj2zb1s9//nMdP37c1Cwj8vv9evzxx3X55ZfL7XafknmerizL0nXXXacnn3xSDQ0N3d0dY+bNm6fXX39dO3fu1IUXXthm2KWXXqqLLrqoS+Zrets6ldvqyb+Hbrdbs2bN0t13363Zs2crPT29S+ffUR/infaqq67S9u3b23x+88036/zzzzfVxYQZu21q27ZtKikp0Ve/+lU9++yzkqSvf/3reuutt3TkSGyPkppWW1urBx98sFvmfTqxbVuPPPJId3fDuJdfflmStGvXrnbD+vTpo4MHD3bZvE1vW921rXo8Hj3++OOSdMZsIz/+8Y/bfeb3+xUIdP/rjIzeh/r8889r4cKFWrFihXJzc5WTk6PHHnssNHzJkiX66U9/qpqaGi1ZskR//OMfdcUVV6hnz54qKirS888/32G76enpuvbaazV27Fg5HA4tW7ZM69evlyQNHz5cV1xxhbKysrR27VotW7ZMkjRjxgxdeumlysnJ0d69e/Xkk0+qpqZGkpSdna1rr71W55xzjnw+n4qLi/U///M/8vl8UZcx2rTh+hqpP7GKdz1kZGRo8eLF+sEPfhBq49Zbb9U777yjTZs2RWzvZIMGDdKVV16p3Nxc7dixQ0uXLlV9fX3UdR3P97xkyRI9++yzuvzyy5Wamqq//vWvqqur0ze+8Q253W69/vrreuONN6J+D7feeqvGjBkjSfra176mm2++ud2eeaR+5efna/78+Ro0aJDKysq0Z88epaena+nSpRGX95ZbbtHGjRu1YsUKSc17f/fdd59+8pOfhNZVR6Ktv1jXSWu33nqriouLtWrVqtD6+vnPf67bbrtNDz30UOj3MDs7W/Pnz9eIESN05MgRPfPMMyorK4u6vUWbz913361f/epXYbe91lkQa78zMzPD9jUQCJwWgWr0HGpNTY1efPFFXXvttbr66qu1dOnSiAs5ffp03Xfffbr//vt14YUXavjw4R2O94Mf/EBer1cLFy7Ub3/7W6WkfFqQ+oILLtD999+ve++9V9OmTdOoUaMkSQMGDNATTzyh22+/XZI0Z84cSc2HvzfddJMOHz6sO++8U/fdd5+GDx+uefPmRV2+WKYN19dw/YlHIush0fZO9vnPf16PPfaYfvrTn8rhcOjqq68ODYu2bLF+z5JUUFCgX/7yl1q2bJmuv/56zZ07V4sWLdKSJUt02WWXqUePHlG/hwcffFDvvfeenn/+eX3nO98Je5qjo345HA4tWLBA27dv12233aa///3v7Q4lwy3vmjVrNHny5NB4kyZN0vbt2yOGaSzrL5Z1crL333+/TV+mTJmiDRs2yO//tE6Gw+HQTTfdpI8++ki333673n77bX33u98NFf6JZfuIZT7xCNdeMBiM2NdAIKBgMPJbPk4F4xelioqKlJ+fr4qKCn388ccRx33ttddUU1OjsrIylZSUaODAge3GGTJkiLKzs7Vs2bLQuEVFRW3aqK6u1v79+1VSUqL+/ZsfR33++edVVlamhoYGvf/+++rbt7kI9PDhw5WcnKyXXnpJ9fX1Onr0aIe/NB2JNm2kvobrT6wSXQ+Jtney1157TRUVFaqtrdU//vGPNhcFoi1bLN9zi7feeksNDQ0qLi6W1+vV8uXLVVNToz179qi8vFx9+/bt1HcYrV9Dhw5VUlKSXnnlFTU0NGjv3r1677227y0Lt7ybNm3SkCFDQuchp0yZotWrV0ftR7T1F8s6OdnGjRs1YsSI0EXIqVOnas2aNW3GGTZsWGhZPR6P1q5dK6n5AZ5Yt49Y5hOPcO1F6qv0GT3kl6QvfvGL2rVrl4YMGaJRo0Z1eH6rReuT0vX19R3+C5iXl6dDhw6F/den9VNeDQ0NSk5uLvY8ZcoUTZs2Tf369VNOTo527NghqflphiNHjrR5xcrRo0fVs2fPqMsWbdpIfQ3Xn1gluh4Sbe9kFRUVoT/X1tYqLS1NlmXJtu2oyxbL99yiuro69OempiZVVVWF/t7Y2Kjk5GSlp6cn/B1G61dubq4OHz7cpu26uro2bYdb3qamJm3ZskXjx4/X5s2bNXDgQG3dujVqP6Ktv1jWyckaGxu1Y8cOjR8/Xrt27VJ6err27Gn7KvdevXqpb9++euKJJ9p8npWVpYyMjJi2j3DzaX1xOh7h2ps2bVrYvh46dOi02UM1Gqj9+/fXnDlz9Itf/ELDhw/X/PnztXDhwpjOTYZTW1ur3r17Rx+xlREjRujqq6/WsmXLdOjQIZ1zzjmhw4iqqirl5eWFwkBqvrctlsdvo00brq+R+hOrRNaDx+NRUlKSXC5X6BAsKysrofYyMjJC57v69eunY8eOybZtI8sWr858h9HU19crO7ttMfLc3NzQn6Mt7/vvv6+ZM2fK4XCEDlUj6cr1t27dOp133nnq2bOn3n///XbDq6urtW/fPi1atKjdsDFjxsS8fXQ0n0jbXiLtReqrJD3zzDMxtd3VjB3yOxwOfetb39LLL7+sqqoqrV+/XpWVlTGdm4xkz549cjqd+upXv6r09HQNHTpU06dPjzhNbm6uamtrQyesp02bFhq2d29zIenLLrtM6enpys3N1dVXXx26kBBJtGnD9TVSf7pyPfj9fh09elRf+MIXQrfH9OrVK6H2Lr/8cvXo0UO5ubm65pprQofBJpYtXrF8hw0NDRowYIAcjvg28T179ignJ0ezZ8+W2+1WQUFBm4CLtrwlJSUaMGCApk2bFtPhfleuvw8++EDDhg3T+PHjO+zLnj17lJWVpVmzZrW7XSue7aOj+UTa9hLpd6S+StJ//Md/nBa3TRkL1Hnz5ikQCLTZqJ977jldfPHFGjBgQMLt+nw+PfzwwxoyZIgWL16sG2+8MeqeyKZNm1RTU6NFixZpwYIFKikpCQ0LBAJ6+OGHNXjwYC1evFg/+tGPtGXLFr399ttR+xJt2nB9jdSf1vLy8rRw4UJj60GSnn32Wc2YMUP333+/evfuHQqjeNvbtm2b7rrrLt1xxx3au3ev/vWvf0mKvK67SizfYVFRkc455xw98MADcd3b6fF49Lvf/U4XXXSRHnjgAX3uc5/T6tWr5fU2Fy+Ptry2beuDDz5QRkaG9u+P/iaHrlx/fr9f27dvl2VZqqys7HD4kiVLdP755+vBBx/UQw89pPnz50uKb/sIN59w214i/Y7UV0mhi1PdjWpTp5EZM2YoOztbr776and3Ba3ceOONKi0tjekfXUn65je/qcOHD8c8Pk5vVJs6Q40aNSrsfaCnu6ysLN15552nfL4LFizQyJEju6Rtt9ut6dOna8KECSouLo5pmnPOOUcTJ07s1JXu7nDrrbeyw2QAe6jASW6//XYNHjxYtm3rwIEDeuGFF9pdIe/IggULNHz4cC1duvSUnPrAqRHPHiqBCgARcMgPAN2AQO0Cv/3tbxN6tBTAmY1A7QL333+/zj333O7uBoBTrFsCtaUoQ2FhYUzjmyxwnJWVpf/6r/9SZmZmXNNF60OPHj1077336rLLLtNVV10V96OlUvjCu50pDh1NvN9Faya/l1NVxDrcfMJ9Hm8x5Dlz5uiGG25o89n111+vWbNmJdRfnFmMBupdd92lu+++u8Nh2dnZevzxx/XFL35RwWBQTzzxhObOnRt3sHVGS6Hlp59+WrW1tRHHjbdA8VVXXaVHH31UvXv31ksvvRSq1RmPjgrvdnVx6O76Ls4UJgqjP/fccyosLIy7IM7pIDU1Vd/5znf0yCOP6IEHHtAll1zS3V06rRkvjpKZmamCgoJ2t41cfPHFbQLB4/Gc8oK6tm23qc8aSbwFiv/0pz9Jkp588smE+hbOqSgO3R3fxdkkGAzq0Ucf7e5uJKRnz576+OOP9Ze//EV5eXm67bbbtG7dujYFWvAp44G6YcMGzZ07t02gut1uTZs2rd1rC+IpOB2ukPTJwhXFjaeodEcFiiP1IVKR3pNFK17csk6CwWDE4tBLlizR448/Hir6vHPnTj399NNha2/GOt+Oil4nUuA7kSLep6KIdWvXXXed+vXrp4cffjjiskRaN7m5uZo/f76GDRumgwcPtrlfNVqB784UuT5ZtPUTaVuJNLy8vFzl5eWSpPLyctXW1kat73o2M34Otbi4WPn5+crPzw99NnPmTG3YsEFNTU0Rp41UiDjWAsodFcWNt6h0uALFHfUhWpHe1mIpXhyP1kWfLcvSNddc0+F4nZ1vvIWtEy3ifaqKWEvNR0wjR47UY489FqqGFG+R7pbvfvfu3br99tv1t7/9Le7iJokWuT5ZtPUTbVuJNjw9PV0LFizQ0qVLQ3UN0J7xQA0EAvr3v/+tuXPnSmp+M+WsWbNieq45UiHiWAoohyuKa7Ig8cl9iFb4trVYihfH25/WRZ8nTJjQ4XidmW8iha0TXd+nqoh1YWGh5syZo4cffliNjY0RlyWSoUOHyul06pVXXlFjY6P27t0benVHrBItcn2yWNZPpG0l2vDvf//7evXVVxO62Ho2MX7IL0krVqzQPffcox49emjs2LEqLS3tsNrNySIVIo6lgHK4osmdKSrdWkd9iFSk99ChQ20+i6V4cTwiFX02Nd9EClsnur5PVRHrK664Qq+//rpOnDgRdVkiyc3NbfcCyvr6+pjrfobrdyLfV7T1E21biTZ84MCBKi0tjXm5zlZdEqiNjY2hQrsTJ07Un//8566YTTvhiiZ3ZUHiaIVvW4tWvLi1WAr0hiv63Jn5niyRwtaJru9TVcT6qaee0re//W2VlpZq9+7dCbdTX1/f7naq1usq0SLL8X5fsayfaNtKtOE33XRT1H6jC+9DfeuttzR79mx5vV7t27evq2bTRriiuIkUlY61QHG0wrcnjxupeHFrsRToDVf0uTPz7WjaeAtbJ1rE+1QVsS4rK9NTTz2l73//+23O9cer5bu/+OKLQ+t10qRJoeGJFlmO9/uKZf1E21aiDf/Zz36mESNGRO372a5L9lCl5kOZ7du3n9JydC1Fca+77jotXrxY1dXVeuaZZ0IFia+//notXrxYdXV1WrVqVcTzukVFRbrpppv0wAMP6I477gg7Xkvh2+uuu07XXHONvF6vNm7c2OErGVqKF19//fW68sortXXrVq1evVqpqakdtv3ss8/qhhtu0Je+9CWtWLGiXYHebdu26Wc/+5kcDofWrVsXKvrc2fm2Fm6dRpLI+m5ZnrvuukuWZbVZnk2bNum8887TokWLdPDgQa1fvz6mt7pGsnnzZr366qv64Q9/qF//+tcJteHxePT73/9e1113na688kpt2bIl9Ar1FtG+w3DtxvN9xbJ+om0rsW5LiIxqU90s3uLFLSLdytOV80X36Mz3FW1b6ey29FlHtakzQCLFi8/k+ZrQXUWsu9OZ/H2djbrskB8dO7l48SOPPNLmNcGftfmadOLECd1zzz3d3Y1T4rPwfZ2NOOQHgAg45AeAbkCgAoAhBCoAGEKgAoAhBCoAGEKgAoAhcd2HGuvtAwBwNmIPFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFdP2NO8AAA7uSURBVAAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBACFQAMIVABwBCHJFkWuQoAiXI4mjPUIUkul7NbOwMAZzKnszlDHZKUkuKWZHVnfwDgDGV9kqGSS5Isy1JGRoaamjwKBAIKBoPd2j0AON05HA45nU6lpLhlWc07pK6WgZZlye1O7bbOAcCZjqtRAGAIgQoAhhCoAGAIgQoAhhCoAGAIgQoAhhCoAGCIK/oon3I6HaFHrADAlGAwKL8/EHU8f1pvVRbOV0NugQLurC7tk9NzQmmVJcrdulSuhsqYprEKCgpsr9cXdcTk5CQ5nU45HI7QUwEA0FnBYFC2bSsQCChSFvnTclV68W8VTE4/hb2THN56DV5+S9RQTU5Oiu2Q3+l0hB6zIkwBmNSSLS0/4VQW3nDKw1SSgsnpqiy8IaZxYwzUyAsKAJ3VHKzhI6kht+AU9qatxtyxMY0X80Up9kwBdKVoGdPV50wj8buzYxqPq/wAYAiBCgCGEKgAzjqWJbksW6mOgArTqpRi+Y20G9d9qABwprIsKcmylWIFlJvk0di0Gl3Us0LZTo9+Xz5Km+piO08aCYEK4DPMVrJDSrN8yk7yanBKvUal1qp/coMcluSWT8f9bu1s6GFkbt0eqLNnz9bhw4e1Y8eO7u5KpzidTl1yySXaunWr9u/f393dAc5qLstWptOnbJdX+cmNGpxSpz7JTaoLJGmfJ137m1I1NrVaVpK0uqaXfLaZs5/dfg519erV6tevX5vPLMvS5z//eaWmJvZKlsLCQg0aNCimcefNmye3253QfFoLBAJat26d8vPz45522LBhmjBhQqf7AJztXFZQheknNC2zUnOyynVJdrkK0qp11Jeqv1cM1HMVg1QbSNIwd712NPZUwFbz/w29pLRLAnXmzJnKzc1tOyOHQ1/+8pdD769uMWbMGFVWtn2ky7ZtvfPOO2psbIx73n379pVt2yorK4u/4500ZswYHT169JTPF0CzdGdA3+6zV9f3/li5Lo+KanK19MgQvXWiryr9bo1LO6EJace1oS5Hftuhg940Vfrcsm0z8+/2Q/5NmzYZba+8vFzl5eVG24zVqlWrQn/OycnRqFGjtHbt2m7pC3A2agpYKqrtrQyHX37b0oDkevmClo75UzTCXauCtGptachWSUNPfb13qXY19lCTbe4p0G4LVLfbrXHjxqlXr16ybVsHDhzQzp07Q6+wnjdvnpYvXy6Px9Nu2uTkZBUUFCgvL0+StHXrVh06dEiDBg3S8OHDlZqaqqqqKm3cuFFNTU0Rp5GkrKwsjRkzRm63WwcPHtSWLVs67POIESM0bNgwOZ1OlZWVqaSkRMnJyZo7d67++c9/hsabPn26srKyVFJS0mE7aWlpmjBhgnJyclRTU6Pjx4+3WbaO2tu3b5/Ky8s1b948bdiwIdTfln5IUmZmpiZMmKCePXuqurpaVVVVcrlc2rx5c4f9iLS+5s2bp+LiYo0dO1ZpaWmqqKjQ5s2b5fV6YxoOdAeP7dLfKwYqy+XTyNRaDXHX6/wex+RUUA7Z2taQpQ/qc5Tr8ijd4VdpU7p8trmnQLvlHKplWZo2bZrq6ur073//W0VFRerVq5dGjhwZ0/RTp05VIBDQu+++q7Vr14bqDGRmZmrjxo168803JTWfm4w2jSQNHDhQa9asUVFRkfr3769evXq1m2d2draGDBmilStX6vXXXw8bli02bdrU4WmHlmU/duyY3njjDW3btk39+/ePablP7u/q1as1aNAgZWdny7IsTZkyRZWVlXrjjTdUUlIStd1I60uShg4dquLiYr399tuyLEsFBQVxDQe6gy1LVf5kFdf10uvH87WhLkcuy1ZQlvZ4MtUYdGp0Wo2O+tyq8icZO9yXunAPdfr06WGHZWdny+l0aufOnZIkn8+nkpISTZ48WR9++GHEdrOyspSamqo1a9YoGAyqqalJ1dXVktQm5A4ePKg+ffpEnUaS9uzZI4/HI4/Ho4qKCmVmZurYsWNt5hsMBuV0OpWSktLhXnOssrKyZFmWdu3aJUmqqqpSWVmZUlJSYm5j9+7dof4ePXpUPXv2lNR8nrplnVZVVam0tDTiBbdw66vFrl27VF9fL0navn27LrzwwriGA93JtqXagEtbG5prAJybcVy9kryq8bs0zF2vbQ09VR8wG4FdFqhr1qxpc7HJ4XBo3rx5kqTU1NTQL2KLhoaGmK62p6enq7a2NnRqoLX8/Hz1799fmZmZSk1NDc0/0jSS2lz88nq9HVbWqq6u1o4dO3Teeeeprq5OW7ZsabcMsUhLS2s3ndfrjStQWwe6z+eT0+lUWlqa6urq2ozn8/kirtNw66tF6/XS1NSkpKSkuIYDpwPblvZ5MjQ6rUZDU2qVZAVlydZhb6rRw32pmw75PR6P0tLS2nyWmpqqhoaGqNM2NTW1m1Zqvgg0duxYlZWVae3atdq6dWvUaeJVVlam5cuX69ixY5o6daokye/3y+FwtLl7IVKI+Xy+dreDte5bvO21bvfk8SItc6T11aJ1QGZmZrb7fqINB04XdUGXPvakKzepSRf2OKpj/hRV+ZMlQ7dLteiWQG25CDN69GglJSUpPT1dBQUFKi0tjWlah8OhMWPGKCkpSdnZ2Ro4cKDS0tLk9XpDh/Ktzx+GmyYRtm2rpqYmFHjBYFB1dXUaPny4XC6XhgwZEvH+2ePHjyslJUVDhw6Vy+VS796929yHG297LaqqquR2u8O2e7JI66vF6NGj5Xa7lZaWpoKCgnYPLIQbblmW5syZE+r3BRdcoN69e0uSxo0bp+HDh0ddHsAk25Z2N2TIZUnj0qp1sClVtQHzR1TdcpXftm2tW7dOhYWFmjNnjrxer8rKyvTRRx9FnTYYDGrt2rUqLCzU3Llz5fF4tHnzZp04cUL9+/fX7NmzVVtbq0OHDoXuhQ03TTx69+6tyZMnKykpSbW1tfrggw9Cw7Zs2aKJEydq1KhR+vjjj1VVVRW2Hb/fr/Xr16uwsFBjxozRkSNHVFpa2iY042mvhc/nU3FxscaPHx9qt6ysLOxh+OHDh8OurxZHjhzRRRddJMuydODAAe3evTuu4S0sy2pT65LauugOJwLJqgu45LMdqg0myW/4cF+K8Z1SyclJSk5ONj5zdK1Jkyapuro6pn+oThbptrVYhgOJ8Hq9Yd8rtfvKFzvdvtvyK9kRVEPQJX+cj5uOfOGKiMNjfqcUTj2n06lZs2a1e7IsFi6XSwMHDlTfvn1D99oCaL5PtSaQHHeYxqrbn5RCx1rumY3HjBkzlJWVJdu2VV1drffff589SOAUIlA/Q4qKioy11fpJrUSGA2cjDvkBwBACFcAZwek50W3zdnmi32kjxRGo4Z4yAgAT7CgP1adVRq6f0ZVSK7fHNF5MgRoM2lEXFgA6IxgMRtxxy926VA5v/I97d5bDW6/crUtjGteZl5d3dyAQee8zGAzK4Wi+Cfbkm7QBoDNsu3mHze/3y+8PhB3P4WtQjwOrFEjNUTA5U0FXYm/0iJXLU6X08o3KX/sbuRoqo47vdDpju7G/9QROJ6ddAZgVDAYjhumZIDk5Kb7bpgKBgAKBM3uhAaCrsLsJAIYQqABgiIOr9wDQecFgUI5AIMBVewDoBIfDoUAgIIff7+fKPQB0gsNhfRqotm0TqgCQAJfLGbqP1iE1v+PJ6XTK4XBw+A8AMXA4HHI6m8O05YWVLqn5SYW6ujqlpKR88oI4J8EKAGEEg0EFAgH5/QH5/f7Q5/8fAVQFm+jTUV4AAAAASUVORK5CYII=" 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" 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" alt="Help dock — expanded panel"></div>
+<p class="rg"><b>3 trạng thái</b>: tab mép → huy hiệu → panel chat</p>
+<div class="cap">Đề xuất — bố cục mới</div><p class="mut">Giữ nguyên bố cục bên trong; chỉ đổi thanh menu sang danh sách phẳng.</p>
+<details class="ctl"><summary>Kiểm kê control — <b>5</b> mục <span class="mut">(trích bằng AST, không đọc tay)</span></summary><table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th><th>Sau khi sửa</th></tr><tr><td>self</td><td class="mut">nút</td><td><code>self._show_launcher</code></td><td class="mut">ui\help_agent_widget.py:169</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>self</td><td class="mut">nút</td><td><code>self._hide_to_edge</code></td><td class="mut">ui\help_agent_widget.py:178</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>header</td><td class="mut">nút</td><td><code>self._collapse</code></td><td class="mut">ui\help_agent_widget.py:214</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>row</td><td class="mut">ô nhập</td><td><code>self._send</code></td><td class="mut">ui\help_agent_widget.py:236</td><td class="ok">giữ nguyên tại chỗ</td></tr><tr><td>row</td><td class="mut">nút</td><td><code>self._send</code></td><td class="mut">ui\help_agent_widget.py:241</td><td class="ok">giữ nguyên tại chỗ</td></tr></table></details>
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr"><li>Bố cục hiện tại giữ nguyên; chưa phát hiện vấn đề sắp xếp nghiêm trọng.</li></ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr"><li>Chỉ áp thanh menu phẳng mới; nội dung bên trong giữ nguyên.</li></ul></div>
+</div></div></section>
+
+<h2>Phần 4 — Màn chết (chỉ ghi nhận)</h2>
+<p class="mut">Sáu màn có trong code nhưng không tới được — tổng <b>64 control</b>
+(accounts 18 · flow_dialog 28 · agent_manager 7 · skill_manager 7 · mcp_servers 4).
+Không nằm trong kiểm kê phía trên vì không có đường nào tới; chỉ ghi nhận, không đề xuất gỡ.</p>
+<table><tr><th>Thành phần</th><th>Vị trí</th><th>Tình trạng</th></tr><tr><td><b>AccountsTab</b></td><td><code>ui/accounts_tab.py:153</code></td><td class="mut">Quản lý tài khoản/nhóm đầy đủ, nhưng không được gắn vào MonitoringTab.</td></tr><tr><td><b>LoginDialog</b></td><td><code>ui/login_dialog.py:57</code></td><td class="mut">Màn đăng nhập hoàn chỉnh; app.py:860 bỏ qua, hard-code user “local”.</td></tr><tr><td><b>FlowBuilderDialog</b></td><td><code>ui/flow_dialog.py:34</code></td><td class="mut">Bị Co4E thay thế; không nơi nào gọi.</td></tr><tr><td><b>AgentManagerTab</b></td><td><code>ui/agent_manager_tab.py:28</code></td><td class="mut">Chỉ dùng bởi FlowBuilderDialog → cũng không tới được.</td></tr><tr><td><b>SkillManagerTab</b></td><td><code>ui/skill_manager_tab.py</code></td><td class="mut">Chỉ dùng bởi FlowBuilderDialog → cũng không tới được.</td></tr><tr><td><b>McpServerEditDialog</b></td><td><code>ui/mcp_servers_dialog.py:15</code></td><td class="mut">Bị ExtConnectorEditDialog thay thế.</td></tr></table>
+<div class="note warn">Ngoài phạm vi: <code>settings_dialog.py:115</code> hard-code mật khẩu
+Sandbox; hai lớp cùng tên <code>CustomAgent</code>
+(<code>custom_agents.py:23</code> · <code>co4e.py:117</code>).</div>
+</div><script>
+const root=document.documentElement;
+function setTheme(t){root.setAttribute('data-theme',t);
+ document.getElementById('tgl').textContent=t==='dark'?'☀ Sáng':'🌙 Tối';
+ document.querySelectorAll('.sec').forEach(s=>swap(s,t));}
+function swap(sec,t){const i=sec.querySelector('img.shotimg');if(!i)return;
+ const src=t==='dark'?i.dataset.dark:i.dataset.light;if(src)i.src=src;
+ sec.querySelectorAll('.sw button').forEach(b=>b.classList.toggle('on',b.dataset.t===t));}
+document.getElementById('tgl').onclick=()=>setTheme(
+ root.getAttribute('data-theme')==='dark'?'light':'dark');
+document.querySelectorAll('.sw button').forEach(b=>b.onclick=()=>{
+ swap(b.closest('.sec'),b.dataset.t);});
+setTheme(matchMedia('(prefers-color-scheme: dark)').matches?'dark':'light');
+</script></body></html>
\ No newline at end of file
diff --git a/i18n.py b/i18n.py
index a0ac067..e3b8b2e 100644
--- a/i18n.py
+++ b/i18n.py
@@ -178,9 +178,27 @@ STRINGS: Dict[str, Dict[str, str]] = {
     "app.nav.collapse_tooltip": {"en": "Collapse menu to icons only", "ja": "メニューをアイコンのみに折りたたむ", "vi": "Thu gọn menu về icon"},
     "app.nav.expand_tooltip": {"en": "Expand menu", "ja": "メニューを展開", "vi": "Mở rộng menu"},
     "app.nav.menu_label": {"en": "MENU", "ja": "MENU", "vi": "MENU"},
+    # Shown on the rail rows the project gate disables (Cowork, GraphRAG) —
+    # they stay listed and greyed instead of disappearing from the menu.
+    "app.nav.needs_project": {
+        "en": "Select a project first", "ja": "先にプロジェクトを選択してください",
+        "vi": "Chọn project trước"},
+    # Rail header: the project a new chat will be created in, and what to do
+    # when there is no project yet.
+    "app.nav.project_pick": {
+        "en": "Project for new chats", "ja": "新しいチャットのプロジェクト",
+        "vi": "Project cho đoạn chat mới"},
+    "app.nav.no_project": {
+        "en": "No project yet", "ja": "プロジェクトなし", "vi": "Chưa có project"},
+    "app.nav.recents": {"en": "RECENTS", "ja": "最近", "vi": "GẦN ĐÂY"},
+    "app.nav.all_projects": {
+        "en": "All projects…", "ja": "すべてのプロジェクト…", "vi": "Tất cả project…"},
+    "app.nav.create_project_first": {
+        "en": "Create a project first", "ja": "先にプロジェクトを作成してください",
+        "vi": "Tạo project trước"},
 
     # ---- workspace_tab.py (Projects — Claude-Projects style) -----------
-    "workspace.header": {"en": "Workspace — Projects", "ja": "ワークスペース — プロジェクト", "vi": "Workspace — Projects"},
+    "workspace.header": {"en": "Manage projects", "ja": "プロジェクト管理", "vi": "Quản lý project"},
     "workspace.tab_cowork": {"en": "Cowork", "ja": "Cowork", "vi": "Cowork"},
     "workspace.tab_graphrag": {"en": "GraphRAG", "ja": "GraphRAG", "vi": "GraphRAG"},
     "workspace.tab_project": {"en": "Project", "ja": "プロジェクト", "vi": "Project"},
@@ -360,6 +378,12 @@ STRINGS: Dict[str, Dict[str, str]] = {
                "các file đặt ở gốc thư mục đó (project knowledge)."),
     },
     "workspace.new_project": {"en": "New project", "ja": "新規プロジェクト", "vi": "Project mới"},
+    "workspace.projects_heading": {"en": "PROJECTS", "ja": "プロジェクト", "vi": "PROJECT"},
+    "workspace.folder_label": {"en": "Workspace folder", "ja": "作業フォルダ", "vi": "Thư mục làm việc"},
+    "workspace.counts": {
+        "en": "{chats} chats · {tasks} tasks",
+        "ja": "チャット {chats} · タスク {tasks}",
+        "vi": "{chats} đoạn chat · {tasks} task"},
     "workspace.delete": {"en": "Delete", "ja": "削除", "vi": "Xóa"},
     "workspace.delete_confirm": {
         "en": "Delete project “{name}”? Its conversations and files are kept (threads move to General).",
@@ -373,19 +397,19 @@ STRINGS: Dict[str, Dict[str, str]] = {
         "vi": "Project của hội thoại này không còn tồn tại — không thể mở."},
     "workspace.name": {"en": "Name", "ja": "名前", "vi": "Tên"},
     "workspace.description": {"en": "Description", "ja": "説明", "vi": "Mô tả"},
-    "workspace.instructions": {"en": "Instructions (shared project context)", "ja": "指示（プロジェクト共有コンテキスト）", "vi": "Instructions (ngữ cảnh chung của project)"},
+    "workspace.instructions": {"en": "Instructions", "ja": "Instructions", "vi": "Instructions"},
     "workspace.instructions_placeholder": {
         "en": "e.g. \"All answers in Vietnamese. We are building the X reporting tool; always follow the naming rules …\"",
         "ja": "例:「回答はすべて日本語で。X レポートツールを開発中。命名規則に従うこと …」",
         "vi": "vd: \"Trả lời bằng tiếng Việt. Team đang xây tool báo cáo X; luôn theo quy tắc đặt tên …\"",
     },
-    "workspace.browse": {"en": "Change folder…", "ja": "フォルダ変更…", "vi": "Đổi thư mục…"},
+    "workspace.browse": {"en": "Change", "ja": "変更", "vi": "Đổi"},
     "workspace.browse_tooltip": {
         "en": "Choose the project's workspace folder (agent sandbox + shared knowledge root)",
         "ja": "プロジェクトのワークスペースフォルダを選択（エージェントのサンドボックス＋共有ナレッジのルート）",
         "vi": "Chọn thư mục workspace của project (sandbox của agent + gốc chứa knowledge chung)",
     },
-    "workspace.open_folder": {"en": "Open folder", "ja": "フォルダを開く", "vi": "Mở thư mục"},
+    "workspace.open_folder": {"en": "Open", "ja": "開く", "vi": "Mở"},
     "workspace.save": {"en": "Save project", "ja": "プロジェクトを保存", "vi": "Lưu project"},
     "workspace.saved": {"en": "Saved project {name}.", "ja": "プロジェクト {name} を保存しました。", "vi": "Đã lưu project {name}."},
     "workspace.threads": {"en": "Conversations in this project", "ja": "このプロジェクトの会話", "vi": "Hội thoại trong project này"},
@@ -468,7 +492,9 @@ STRINGS: Dict[str, Dict[str, str]] = {
     "chat.assistant": {"en": "Assistant", "ja": "アシスタント", "vi": "Assistant"},
     "chat.error": {"en": "Error", "ja": "エラー", "vi": "Lỗi"},
     "help_agent.title": {
-        "en": "App Assistant", "ja": "アプリアシスタント", "vi": "Trợ lý App"},
+        # The audit page names this AI Assistant, and keeps it the same in every
+        # language — it is a product name, not a description.
+        "en": "AI Assistant", "ja": "AI Assistant", "vi": "AI Assistant"},
     "help_agent.greeting": {
         "en": "Hello {name}, have a great working day! How can I help you use the app?",
         "ja": "こんにちは {name} さん、良い一日を！アプリの使い方について何かお手伝いできますか？",
@@ -478,16 +504,27 @@ STRINGS: Dict[str, Dict[str, str]] = {
         "en": "Ask how to use the app…", "ja": "アプリの使い方を質問…",
         "vi": "Hỏi cách sử dụng app…"},
     "help_agent.open_tooltip": {
-        "en": "App Assistant — help using the app",
-        "ja": "アプリアシスタント — アプリの使い方をサポート",
-        "vi": "Trợ lý App — hỗ trợ sử dụng app"},
+        "en": "AI Assistant — help using the app",
+        "ja": "AI Assistant — アプリの使い方をサポート",
+        "vi": "AI Assistant — hỗ trợ sử dụng app"},
     "help_agent.collapse_tooltip": {
         "en": "Minimize", "ja": "最小化", "vi": "Thu nhỏ"},
     "help_agent.hide_tooltip": {
         "en": "Hide to the edge", "ja": "端に隠す", "vi": "Ẩn vào cạnh phải"},
+    "help_agent.dot_hint": {
+        "en": "right-click to hide",
+        "ja": "右クリックで非表示",
+        "vi": "chuột phải để ẩn"},
+    # The name on the launcher pill. Deliberately the same in every language —
+    # it is a product name, and it only shows on hover, so length is not a
+    # constraint the way it was on a permanently visible badge.
+    "help_agent.badge": {
+        "en": "AI Assistant", "ja": "AI Assistant", "vi": "AI Assistant"},
+    "help_agent.more_tooltip": {
+        "en": "More", "ja": "その他", "vi": "Thêm"},
     "help_agent.show_tooltip": {
-        "en": "Show the App Assistant", "ja": "アプリアシスタントを表示",
-        "vi": "Hiện App Assistant"},
+        "en": "Show the AI Assistant", "ja": "AI Assistant を表示",
+        "vi": "Hiện AI Assistant"},
     "help_agent.empty_reply": {
         "en": "(no answer)", "ja": "(回答なし)", "vi": "(không có phản hồi)"},
     "help_agent.error": {
@@ -886,6 +923,14 @@ STRINGS: Dict[str, Dict[str, str]] = {
     "schedtask.script_placeholder": {
         "en": "(script tasks only) e.g. python report.py", "ja": "（Scriptタスクのみ）例: python report.py",
         "vi": "(chỉ task Script) vd: python report.py"},
+    # The title/description block at the top of the Task editor had no name
+    # either — needed once the index had to list it.
+    "schedtask.g_basic": {"en": "Basics", "ja": "基本", "vi": "Thông tin chung"},
+    # The three steps the editor is split into: what to do, when, and what it
+    # connects to. Each holds the same group boxes as before.
+    "schedtask.step_content": {"en": "Content", "ja": "内容", "vi": "Nội dung"},
+    "schedtask.step_schedule": {"en": "Schedule", "ja": "スケジュール", "vi": "Lịch chạy"},
+    "schedtask.step_link": {"en": "Links", "ja": "連携", "vi": "Liên kết"},
     "schedtask.g_schedule": {"en": "Schedule Setup", "ja": "スケジュール設定", "vi": "Thiết lập lịch chạy"},
     "schedtask.sched_enable": {"en": "Enable schedule", "ja": "スケジュールを有効化", "vi": "Bật lịch chạy"},
     "schedtask.f_run_at": {"en": "Run at", "ja": "実行日時", "vi": "Chạy lúc"},
@@ -1241,7 +1286,7 @@ STRINGS: Dict[str, Dict[str, str]] = {
     "dashboard.card_in": {"en": "Input", "ja": "入力", "vi": "Input"},
     "dashboard.card_out": {"en": "Output", "ja": "出力", "vi": "Output"},
     "dashboard.card_cache": {"en": "Cache", "ja": "キャッシュ", "vi": "Cache"},
-    "dashboard.card_cost": {"en": "Total cost", "ja": "合計コスト", "vi": "Tổng chi phí"},
+    "dashboard.card_cost": {"en": "Cost", "ja": "コスト", "vi": "Chi phí"},
     "dashboard.card_turns": {"en": "{n} turns", "ja": "{n} ターン", "vi": "{n} lượt"},
     "dashboard.prices_label": {
         "en": "Unit price (USD / 1M tokens):", "ja": "単価 (USD / 100万トークン):",
@@ -1276,7 +1321,7 @@ STRINGS: Dict[str, Dict[str, str]] = {
     "dashboard.ref_last_week": {"en": "Last week", "ja": "先週", "vi": "Tuần trước"},
     "dashboard.ref_last_month": {"en": "Last month", "ja": "先月", "vi": "Tháng trước"},
     "dashboard.ref_last_year": {"en": "Last year", "ja": "昨年", "vi": "Năm trước"},
-    "usage.budget_title": {"en": "Budget", "ja": "予算", "vi": "Budget"},
+    "usage.budget_title": {"en": "Budget", "ja": "予算", "vi": "Ngân sách"},
     "usage.budget_no_budget": {"en": "No budget set", "ja": "予算未設定", "vi": "Chưa đặt Budget"},
     "usage.budget_used_pct": {"en": "{pct}% used", "ja": "{pct}% 使用済み", "vi": "Đã dùng {pct}%"},
     "usage.budget_over_warning": {"en": "⚠ Over 85% of budget used",
@@ -1441,6 +1486,9 @@ STRINGS: Dict[str, Dict[str, str]] = {
         "vi": "Hiện thông báo khay hệ thống khi tác vụ xong hoặc lỗi"},
     "settings.group.openai": {"en": "OpenAI-compatible (Internal Gateway)", "ja": "OpenAI 互換（社内ゲートウェイ）", "vi": "OpenAI-compatible (Gateway nội bộ)"},
     "settings.group.anthropic": {"en": "Anthropic Claude", "ja": "Anthropic Claude", "vi": "Anthropic Claude"},
+    # Name for the language/tray block at the top of Settings — it had none,
+    # because until the index existed nothing had to refer to it.
+    "settings.group.general": {"en": "General", "ja": "一般", "vi": "Chung"},
     "settings.group.provider": {"en": "AI Provider", "ja": "AI プロバイダー", "vi": "Nhà cung cấp AI"},
     "settings.group.parameter": {"en": "Parameter", "ja": "Parameter", "vi": "Parameter"},
     "settings.param_section_pricing": {
@@ -1751,6 +1799,7 @@ STRINGS: Dict[str, Dict[str, str]] = {
         "vi": "Xóa connector \"{name}\"?"},
     "ext.add_title": {"en": "Add connector", "ja": "コネクタを追加", "vi": "Thêm connector"},
     "ext.edit_title": {"en": "Edit connector", "ja": "コネクタを編集", "vi": "Sửa connector"},
+    "ext.category_label": {"en": "Category", "ja": "カテゴリ", "vi": "Nhóm"},
     "ext.preset_label": {"en": "App", "ja": "アプリ", "vi": "Ứng dụng"},
     "ext.preset_custom": {"en": "(Custom…)", "ja": "（カスタム…）", "vi": "(Tuỳ chỉnh…)"},
     "ext.name_label": {"en": "Display name", "ja": "表示名", "vi": "Tên hiển thị"},
@@ -2338,22 +2387,36 @@ STRINGS: Dict[str, Dict[str, str]] = {
     # ---- monitoring_tab.py (📊 Monitoring Dashboard) --------------------
     "monitoring.title": {"en": "Monitoring Dashboard", "ja": "モニタリングダッシュボード", "vi": "Bảng giám sát"},
     "monitoring.refresh": {"en": "Refresh", "ja": "更新", "vi": "Làm mới"},
-    "monitoring.tab_security": {"en": "Security Events", "ja": "セキュリティイベント", "vi": "Sự kiện bảo mật"},
-    "monitoring.tab_mcp": {"en": "MCP Call History", "ja": "MCP 呼び出し履歴", "vi": "Lịch sử gọi MCP"},
-    "monitoring.tab_actions": {"en": "Action Logs", "ja": "アクションログ", "vi": "Nhật ký hành động"},
-    "monitoring.tab_agents": {"en": "Agent Status", "ja": "エージェント状態", "vi": "Trạng thái Agent"},
+    "monitoring.tab_security": {"en": "Security", "ja": "セキュリティ", "vi": "Bảo mật"},
+    "monitoring.tab_mcp": {"en": "MCP", "ja": "MCP", "vi": "MCP"},
+    "monitoring.tab_actions": {"en": "Actions", "ja": "アクション", "vi": "Hành động"},
+    "monitoring.tab_agents": {"en": "Agent", "ja": "エージェント", "vi": "Agent"},
     "monitoring.tab_accounts": {"en": "Accounts", "ja": "アカウント", "vi": "Tài khoản"},
     "monitoring.col_time": {"en": "Time", "ja": "時刻", "vi": "Thời gian"},
     "monitoring.col_role": {"en": "Agent Role", "ja": "エージェント役割", "vi": "Vai trò Agent"},
     "monitoring.col_name": {"en": "Action", "ja": "アクション", "vi": "Hành động"},
     "monitoring.col_result": {"en": "Result", "ja": "結果", "vi": "Kết quả"},
+    # Security Events shows WHICH rule fired instead of a result that is always
+    # the same — every security_block is recorded with ok=False.
+    "monitoring.col_action": {"en": "Action", "ja": "アクション", "vi": "Hành động"},
+    # The fourth KPI tile on Overview, as the wireframe labels it.
+    "monitoring.overview_calls": {"en": "Calls", "ja": "呼び出し", "vi": "Lượt gọi"},
+    # The fold under the Sandbox summary line — the wireframe shows only the
+    # summary, so the ID / created / uptime / limits rows live behind this.
+    "monitoring.overview_disk_free": {
+        "en": "{size} free", "ja": "空き {size}", "vi": "{size} trống"},
+    "monitoring.overview_disk_label": {"en": "Disk", "ja": "ディスク", "vi": "Đĩa"},
+    "monitoring.overview_sbx_detail": {
+        "en": "Details", "ja": "詳細", "vi": "Chi tiết"},
     "monitoring.col_detail": {"en": "Detail", "ja": "詳細", "vi": "Chi tiết"},
     "monitoring.col_account": {"en": "Account", "ja": "アカウント", "vi": "Tài khoản"},
     "monitoring.col_machine": {"en": "Machine", "ja": "マシン", "vi": "Máy"},
     "monitoring.col_agent": {"en": "Agent", "ja": "エージェント", "vi": "Agent"},
-    "monitoring.col_active": {"en": "Active", "ja": "稼働中", "vi": "Đang chạy"},
     "monitoring.col_source": {"en": "Source", "ja": "ソース", "vi": "Nguồn"},
     "monitoring.active_n": {"en": "{n} running", "ja": "{n} 件実行中", "vi": "{n} đang chạy"},
+    "monitoring.idle": {"en": "Idle", "ja": "アイドル", "vi": "Rảnh"},
+    "monitoring.agent_status_title": {
+        "en": "Agent Status", "ja": "エージェント状態", "vi": "Trạng thái Agent"},
     "monitoring.source_cowork": {
         "en": "Cowork tab's active turns", "ja": "Cowork タブの実行中ターン",
         "vi": "Lượt đang chạy của tab Cowork"},
@@ -2384,7 +2447,7 @@ STRINGS: Dict[str, Dict[str, str]] = {
     # ---- monitoring_tab.py — Overview card dashboard ---------------------
     "monitoring.tab_overview": {"en": "Overview", "ja": "概要", "vi": "Tổng quan"},
     "monitoring.overview_usage_title": {
-        "en": "Token Usage & Cost", "ja": "トークン使用量とコスト", "vi": "Sử dụng token & Chi phí"},
+        "en": "Token & Cost", "ja": "トークンとコスト", "vi": "Token & Chi phí"},
     "monitoring.overview_currency": {"en": "Currency:", "ja": "通貨:", "vi": "Tiền tệ:"},
     "monitoring.tab_agents_admin": {
         "en": "Agents Admin", "ja": "エージェント管理", "vi": "Agents Admin"},
@@ -2418,8 +2481,8 @@ STRINGS: Dict[str, Dict[str, str]] = {
               "下から独自のSVGアイコンを追加でき、名前ですぐ使えます。",
         "vi": "Các icon dùng cho agent và flow. Gõ tên vào ô Icon của step/agent để dùng. Thêm icon SVG "
               "của bạn ở dưới — dùng được ngay bằng tên."},
-    "icons_admin.search": {"en": "Search built-in icons…", "ja": "組込みアイコンを検索…", "vi": "Tìm icon có sẵn…"},
-    "icons_admin.builtin": {"en": "Built-in icons", "ja": "組込みアイコン", "vi": "Icon có sẵn"},
+    "icons_admin.search": {"en": "Search icons by name…", "ja": "名前でアイコンを検索…", "vi": "Tìm icon theo tên…"},
+    "icons_admin.builtin": {"en": "Built-in icons", "ja": "組込みアイコン", "vi": "Icon tích hợp"},
     "icons_admin.custom": {"en": "Custom icons", "ja": "カスタムアイコン", "vi": "Icon tùy chỉnh"},
     "icons_admin.add": {"en": "Add SVG file", "ja": "SVGファイルを追加", "vi": "Thêm tệp SVG"},
     "icons_admin.paste": {"en": "Paste SVG", "ja": "SVGを貼付", "vi": "Dán SVG"},
@@ -2431,9 +2494,6 @@ STRINGS: Dict[str, Dict[str, str]] = {
     "icons_admin.select_custom": {"en": "Select a custom icon to delete.",
                                   "ja": "削除するカスタムアイコンを選択してください。",
                                   "vi": "Hãy chọn một icon tùy chỉnh để xóa."},
-    "tools_admin.col_name": {"en": "Tool", "ja": "ツール", "vi": "Tool"},
-    "tools_admin.col_desc": {"en": "Description", "ja": "説明", "vi": "Mô tả"},
-    "tools_admin.col_enabled": {"en": "Enabled", "ja": "有効", "vi": "Bật"},
     "tools_admin.jira_note": {
         "en": "Jira connection setup moved to the Connector tab → set it up there; here you only turn "
               "the jira_search / jira_get_issue tools on or off.",
@@ -2468,10 +2528,9 @@ STRINGS: Dict[str, Dict[str, str]] = {
         "en": "Double-click to connect Jira (paste any Jira link — no per-request setup after that).",
         "ja": "ダブルクリックで Jira に接続（Jira リンクを貼るだけ、以降は設定不要）。",
         "vi": "Nhấp đúp để kết nối Jira (dán bất kỳ link Jira nào — sau đó không cần thiết lập gì thêm)."},
-    "connectors.dbl_configure": {
-        "en": "Double-click a connector to configure it.",
-        "ja": "コネクタをダブルクリックして設定します。",
-        "vi": "Nhấp đúp vào một connector để thiết lập."},
+    "connectors.builtin_auto": {
+        "en": "Built-in, connects automatically", "ja": "組み込み、自動接続",
+        "vi": "Tích hợp, tự kết nối"},
     "connectors.connect_external": {
         "en": "Connect to external connectors",
         "ja": "外部コネクタに接続する",
@@ -2624,6 +2683,19 @@ STRINGS: Dict[str, Dict[str, str]] = {
         "vi": "Chạy flow đã chọn ở nền — nhiều flow chạy song song"},
     "co4e.running_flows": {"en": "Running flows", "ja": "実行中のフロー", "vi": "Flow đang chạy"},
     "co4e.runs_tab": {"en": "Flow Status", "ja": "フロー状態", "vi": "Flow Status"},
+    # The flow tab strip was removed, so its pinned Flow Status tab became a
+    # toggle in the flow toolbar — and that page needs its own way back.
+    "co4e.tt_runs_tab": {
+        "en": "Show every flow run", "ja": "すべてのフロー実行を表示",
+        "vi": "Xem toàn bộ lần chạy flow"},
+    "co4e.back_to_flow": {"en": "Back to flow", "ja": "フローに戻る", "vi": "Về flow"},
+    "co4e.new_flow_ready": {
+        "en": "New flow — type a name, then drag agents onto the canvas",
+        "ja": "新しいフロー — 名前を入力し、エージェントをキャンバスへ",
+        "vi": "Flow mới — đặt tên rồi kéo agent vào canvas"},
+    "co4e.tt_back_to_flow": {
+        "en": "Back to the flow editor", "ja": "フローエディタに戻る",
+        "vi": "Quay lại màn dựng flow"},
     "co4e.runs_tab_n": {"en": "Flow Status ({n})", "ja": "フロー状態 ({n})", "vi": "Flow Status ({n})"},
     "co4e.runs_col_flow": {"en": "Flow", "ja": "フロー", "vi": "Flow"},
     "co4e.runs_col_status": {"en": "Status", "ja": "状態", "vi": "Trạng thái"},
@@ -2693,6 +2765,9 @@ STRINGS: Dict[str, Dict[str, str]] = {
         "ja": "フローとチャット — /agent:<name> または /skill:<name>",
         "vi": "Chat với flow — dùng /agent:<name> hoặc /skill:<name>"},
     "co4e.send": {"en": "Send", "ja": "送信", "vi": "Gửi"},
+    "co4e.tab_basic": {"en": "Basic", "ja": "基本", "vi": "Cơ bản"},
+    "co4e.tab_model_perm": {"en": "Model & Permission", "ja": "モデルと権限", "vi": "Model & Quyền"},
+    "co4e.tab_skills_files": {"en": "Skills & Files", "ja": "スキルとファイル", "vi": "Skills & Tệp"},
     "co4e.f_label": {"en": "Label", "ja": "ラベル", "vi": "Nhãn"},
     "co4e.f_role": {"en": "Role", "ja": "ロール", "vi": "Vai trò"},
     "co4e.f_name": {"en": "Name", "ja": "名前", "vi": "Tên"},
@@ -2743,6 +2818,9 @@ STRINGS: Dict[str, Dict[str, str]] = {
         "vi": "Không tìm thấy agent '{name}'."},
 
     # ---- agents_admin_tab.py — Admin-only agent catalog -------------------
+    "agents_admin.page_title": {"en": "Agents Admin", "ja": "Agents Admin", "vi": "Agents Admin"},
+    "agents_admin.edit_row_tooltip": {"en": "Edit", "ja": "編集", "vi": "Sửa"},
+    "agents_admin.delete_row_tooltip": {"en": "Delete", "ja": "削除", "vi": "Xóa"},
     "agents_admin.hint": {
         "en": "System-management agents shared across every machine (stored in the shared accounts folder): the help agent and Schedule Task executors. These are NOT the agents you pick in Cowork or Co4E.",
         "ja": "全マシンで共有されるシステム管理用エージェント（共有フォルダーに保存）：ヘルプエージェントやスケジュールタスクの実行エージェントなど。CoworkやCo4Eで選択するエージェントではありません。",
@@ -2754,8 +2832,6 @@ STRINGS: Dict[str, Dict[str, str]] = {
         "en": "Delete agent \"{name}\"?", "ja": "エージェント「{name}」を削除しますか？",
         "vi": "Xóa agent \"{name}\"?"},
     "agents_admin.add_btn": {"en": "Add", "ja": "追加", "vi": "Thêm"},
-    "agents_admin.edit_btn": {"en": "Edit", "ja": "編集", "vi": "Sửa"},
-    "agents_admin.delete_btn": {"en": "Delete", "ja": "削除", "vi": "Xóa"},
     "agents_admin.f_name": {"en": "Name", "ja": "名前", "vi": "Tên"},
     "agents_admin.f_kind": {"en": "App function", "ja": "アプリ機能", "vi": "Chức năng App"},
     "agents_admin.f_prompt": {"en": "Instructions", "ja": "指示", "vi": "Chỉ dẫn"},
@@ -2787,7 +2863,7 @@ STRINGS: Dict[str, Dict[str, str]] = {
     "agents_admin.col_enabled": {"en": "Enabled", "ja": "有効", "vi": "Kích hoạt"},
     "agents_admin.col_status": {"en": "Status", "ja": "状態", "vi": "Trạng thái"},
     "agents_admin.col_updated": {"en": "Updated", "ja": "更新", "vi": "Cập nhật"},
-    "agents_admin.check_btn": {"en": "Check", "ja": "チェック", "vi": "Kiểm tra"},
+    "agents_admin.check_btn": {"en": "Check all", "ja": "すべてチェック", "vi": "Kiểm tra tất cả"},
     "agents_admin.check_tooltip": {
         "en": "Check each agent's effective provider/model connectivity",
         "ja": "各エージェントの実効プロバイダ/モデルの接続性を確認",
@@ -2835,12 +2911,67 @@ STRINGS: Dict[str, Dict[str, str]] = {
         "en": "AI turns your question into a filter keyword (e.g. \"which commands failed today?\").",
         "ja": "質問をAIがフィルターキーワードに変換します。",
         "vi": "AI chuyển câu hỏi thành từ khóa lọc (vd: \"hôm nay lệnh nào bị lỗi?\")."},
+    "monitoring.security_detail_title": {
+        "en": "Event details", "ja": "イベント詳細", "vi": "Chi tiết sự kiện"},
+    "monitoring.security_detail_close": {
+        "en": "Close", "ja": "閉じる", "vi": "Đóng"},
+    "monitoring.security_events_title": {
+        "en": "Security Events", "ja": "セキュリティイベント", "vi": "Sự kiện bảo mật"},
+    "monitoring.mcp_history_title": {
+        "en": "MCP Call History", "ja": "MCP 呼び出し履歴", "vi": "Lịch sử gọi MCP"},
+    "monitoring.action_logs_title": {
+        "en": "Action Logs", "ja": "アクションログ", "vi": "Nhật ký hành động"},
+    "monitoring.col_detail_block": {
+        "en": "Block detail", "ja": "ブロック詳細", "vi": "Chi tiết chặn"},
+
+    # ---- event-detail panel (ui-audit_v2.html openDetail()) --------------
+    "monitoring.detail_section_general": {
+        "en": "General info", "ja": "基本情報", "vi": "Thông tin chung"},
+    "monitoring.detail_section_action": {
+        "en": "Action", "ja": "アクション", "vi": "Hành động"},
+    "monitoring.detail_section_metadata": {
+        "en": "Metadata", "ja": "メタデータ", "vi": "Metadata"},
+    "monitoring.detail_type": {"en": "Type", "ja": "種類", "vi": "Loại"},
+    "monitoring.detail_status": {"en": "Status", "ja": "ステータス", "vi": "Trạng thái"},
+    "monitoring.detail_event_id": {"en": "Event ID", "ja": "イベントID", "vi": "Event ID"},
+    "monitoring.detail_policy": {"en": "Policy", "ja": "ポリシー", "vi": "Policy"},
+    "monitoring.detail_severity": {"en": "Severity", "ja": "重大度", "vi": "Severity"},
+    "monitoring.detail_copy": {"en": "Copy", "ja": "コピー", "vi": "Copy"},
+    "monitoring.detail_copied": {"en": "Copied", "ja": "コピー済み", "vi": "Đã copy"},
+
+    # Trạng thái pill — which rule fired, phrased as the enforcement outcome
+    # (distinct wording from the Loại/action_* labels below, matching
+    # ui-audit_v2.html's statusInfo() vs actionLabel).
+    "monitoring.status_blocked": {"en": "Blocked", "ja": "ブロック済み", "vi": "Đã chặn"},
+    "monitoring.status_path": {"en": "Path blocked", "ja": "パスをブロック", "vi": "Path chặn"},
+    "monitoring.status_network": {"en": "Network blocked", "ja": "ネットワークをブロック", "vi": "Mạng chặn"},
+    "monitoring.status_secret": {"en": "Secret leaked", "ja": "シークレット漏洩", "vi": "Bí mật lộ"},
+    "monitoring.status_ok": {"en": "Succeeded", "ja": "成功", "vi": "Thành công"},
+    "monitoring.status_failed": {"en": "Failed", "ja": "失敗", "vi": "Thất bại"},
+
+    "monitoring.severity_critical": {"en": "CRITICAL", "ja": "CRITICAL", "vi": "CRITICAL"},
+    "monitoring.severity_medium": {"en": "MEDIUM", "ja": "MEDIUM", "vi": "MEDIUM"},
+    "monitoring.severity_info": {"en": "INFO", "ja": "INFO", "vi": "INFO"},
+
+    # Loại field — a human label for the raw event name (audit_log ``name``).
+    "monitoring.action_prompt": {"en": "Risky prompt", "ja": "危険なプロンプト", "vi": "Prompt rủi ro"},
+    "monitoring.action_dangerous_command": {
+        "en": "Dangerous command", "ja": "危険なコマンド", "vi": "Lệnh nguy hiểm"},
+    "monitoring.action_install_package": {
+        "en": "Package install", "ja": "パッケージインストール", "vi": "Cài đặt gói"},
+    "monitoring.action_path_outside_sandbox": {
+        "en": "Path outside sandbox", "ja": "サンドボックス外のパス", "vi": "Path ngoài sandbox"},
+    "monitoring.action_network_blocked": {
+        "en": "Network blocked", "ja": "ネットワークブロック", "vi": "Mạng bị chặn"},
+    "monitoring.action_secret_in_output": {
+        "en": "Secret disclosed", "ja": "シークレット漏洩", "vi": "Tiết lộ bí mật"},
+
     "monitoring.overview_activity_title": {
-        "en": "Recent Activity", "ja": "最近のアクティビティ", "vi": "Hoạt động gần đây"},
+        "en": "Recent log", "ja": "最近のログ", "vi": "Nhật ký gần đây"},
     "monitoring.overview_no_activity": {
         "en": "No activity yet.", "ja": "まだアクティビティはありません。", "vi": "Chưa có hoạt động nào."},
     "monitoring.overview_resource_title": {
-        "en": "Resource Usage", "ja": "リソース使用状況", "vi": "Sử dụng tài nguyên"},
+        "en": "Resources", "ja": "リソース", "vi": "Tài nguyên"},
     "monitoring.overview_res_cpu": {"en": "CPU", "ja": "CPU", "vi": "CPU"},
     "monitoring.overview_res_mem": {"en": "Memory", "ja": "メモリ", "vi": "Bộ nhớ"},
     "monitoring.overview_res_disk": {"en": "Disk I/O", "ja": "ディスク I/O", "vi": "Disk I/O"},
@@ -2867,7 +2998,9 @@ STRINGS: Dict[str, Dict[str, str]] = {
     "monitoring.pricing_col_input": {"en": "Input price", "ja": "入力単価", "vi": "Giá input"},
     "monitoring.pricing_col_output": {"en": "Output price", "ja": "出力単価", "vi": "Giá output"},
     "monitoring.overview_sandbox_details_title": {
-        "en": "Sandbox Details", "ja": "サンドボックス詳細", "vi": "Chi tiết Sandbox"},
+        # One section now, holding both the sandbox facts and the permissions.
+        "en": "Sandbox & Permissions", "ja": "サンドボックスと権限",
+        "vi": "Sandbox & Quyền"},
     "monitoring.overview_sandbox_id": {"en": "Sandbox ID", "ja": "サンドボックス ID", "vi": "Sandbox ID"},
     "monitoring.overview_status": {"en": "Status", "ja": "状態", "vi": "Trạng thái"},
     "monitoring.overview_status_running": {"en": "Running", "ja": "実行中", "vi": "Đang chạy"},
diff --git a/podman-compose.preview.vibeflow.yaml b/podman-compose.preview.vibeflow.yaml
new file mode 100644
index 0000000..1344e09
--- /dev/null
+++ b/podman-compose.preview.vibeflow.yaml
@@ -0,0 +1,23 @@
+services:
+  cowork-desktop:
+    image: python:3.11-slim-bookworm
+    container_name: cowork-local-desktop-preview
+    working_dir: /workspace
+    volumes:
+      - /workspace:/workspace:Z
+      - pip-cache:/root/.cache/pip:Z
+    ports:
+      - "6080:6080"
+    environment:
+      PYTHONUNBUFFERED: "1"
+      QT_QPA_PLATFORM: "vnc:size=1280x800:depth=32"
+      QT_QPA_VNC_HOST: "127.0.0.1"
+      QT_QPA_VNC_PORT: "5900"
+      QSG_RHI_BACKEND: "software"
+      PYTHONPATH: "/opt"
+    entrypoint: ["/bin/sh", "/workspace/.vibeflow-preview/entrypoint.sh"]
+    command: []
+    restart: unless-stopped
+
+volumes:
+  pip-cache: {}
diff --git a/preview-desktop b/preview-desktop
new file mode 100644
index 0000000..e69de29
diff --git a/requirements (cloud copy).txt b/requirements (cloud copy).txt
new file mode 100644
index 0000000..09f75e4
--- /dev/null
+++ b/requirements (cloud copy).txt	
@@ -0,0 +1,9 @@
+PySide6>=6.6
+pydantic>=2
+requests
+psutil
+pygments
+openpyxl
+python-pptx
+networkx
+pytest
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..a762b54
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,24 @@
+# Cowork-Local BamBOO — dependencies
+# Install: pip install -r requirements.txt
+
+# --- Core UI framework ---
+PySide6>=6.6.0
+
+# --- HTTP client ---
+requests>=2.31.0
+
+# --- Process & resource monitoring ---
+psutil>=5.9.0
+
+# --- Document handling ---
+openpyxl>=3.1.0          # Excel (.xlsx) creation & reading
+python-pptx>=0.6.0       # PowerPoint (.pptx) editing
+pypdf>=4.0.0             # PDF text extraction (preferred)
+# PyPDF2>=3.0.0          # PDF fallback (optional, pypdf preferred)
+
+# --- Microsoft 365 integration ---
+msal>=1.24.0             # OAuth device-code flow for MS365
+keyring>=24.0.0          # OS credential store (token cache)
+
+# --- MCP (Model Context Protocol) ---
+mcp>=1.0.0               # MCP client SDK (stdio transport)
\ No newline at end of file
diff --git a/slides/cowork-local-bamboo/deck.html b/slides/cowork-local-bamboo/deck.html
new file mode 100644
index 0000000..1569d14
--- /dev/null
+++ b/slides/cowork-local-bamboo/deck.html
@@ -0,0 +1,677 @@
+<!DOCTYPE html>
+<html lang="en" data-theme="light">
+<head>
+<meta charset="UTF-8">
+<meta name="viewport" content="width=device-width,initial-scale=1.0">
+<title>Cowork-Local BamBOO</title>
+<style>
+:root{
+  --bg:#f8faff;--surface:#fff;--surface-2:rgba(255,255,255,0.95);
+  --text:#1a202c;--muted:#6b7280;
+  --accent:#003087;--accent2:#0072CE;--accent3:#FF6B00;
+  --border:#e2e8f0;--border-strong:#cbd5e1;
+  --gradient1:linear-gradient(135deg,#003087 0%,#0072CE 100%);
+  --gradient-hero:linear-gradient(160deg,#001a4d 0%,#003087 45%,#0072CE 100%);
+  --shadow:0 2px 12px rgba(0,0,0,.07);
+}
+[data-theme="dark"]{
+  --bg:#0a0e1a;--surface:#111827;--surface-2:rgba(17,24,39,0.92);
+  --text:#e2e8f0;--muted:#9ca3af;
+  --border:#374151;--border-strong:#4b5563;
+}
+*{box-sizing:border-box;margin:0;padding:0}
+html,body{
+  font-family:"Meiryo UI","Yu Gothic","Meiryo","Hiragino Sans","Noto Sans CJK JP",system-ui,-apple-system,"Segoe UI",Roboto,sans-serif;
+  background:var(--bg);color:var(--text);
+  font-size:20px;line-height:1.55;
+  transition:background .3s,color .3s;
+}
+.deck{display:flex;flex-direction:column;align-items:center}
+
+/* Scaled wrapper so .slide (1920×1080) fits viewport */
+.slide-wrap{width:var(--scaled-w,1920px);height:var(--scaled-h,1080px);position:relative;overflow:hidden;border-bottom:1px solid var(--border)}
+.slide-wrap > .slide{transform:scale(var(--scale,1));transform-origin:top left;border-bottom:0}
+
+.slide{
+  position:relative;
+  width:1920px;height:1080px;min-height:1080px;max-height:1080px;
+  padding:72px 96px 92px;
+  display:flex;flex-direction:column;
+  background:var(--bg);overflow:hidden;
+}
+.slide.cover{align-items:center;justify-content:center;text-align:center;background:var(--gradient-hero);color:white;padding:96px}
+.slide.section-divider{align-items:center;justify-content:center;text-align:center;background:var(--gradient1);color:white}
+
+h1,h2,h3{font-weight:700;line-height:1.2}
+.slide h1{font-size:3.2em;margin-bottom:.3em}
+.slide h2{font-size:2.2em;color:var(--accent);margin-bottom:.4em}
+.slide h3{font-size:1.2em;color:var(--accent2);margin-bottom:.3em}
+.slide.section-divider h2{color:white!important;font-size:2.8em}
+.slide.section-divider p{color:rgba(255,255,255,.88);font-size:1.2em;margin-top:.6em}
+.slide.cover h1{color:white;font-size:3.4em}
+.slide p{font-size:1.1em;color:var(--muted);margin-bottom:1rem}
+.slide ul{padding-left:1.4em;margin-top:.4rem}
+.slide ul li{font-size:clamp(1.1em,1.5vw,1.3em);margin:.5em 0;line-height:1.45}
+
+.card-grid{display:grid;gap:1.2rem;margin-top:.6rem}
+.grid2{grid-template-columns:1fr 1fr}
+.grid3{grid-template-columns:1fr 1fr 1fr}
+.grid4{grid-template-columns:1fr 1fr 1fr 1fr}
+.card{background:var(--surface-2);border:1px solid var(--border);border-radius:16px;padding:1.5rem 1.8rem;box-shadow:var(--shadow);overflow-wrap:break-word;word-break:break-word}
+.card-title{font-weight:700;font-size:1.35em;color:var(--accent);margin-bottom:.5em}
+
+.badge{display:inline-block;padding:6px 16px;border-radius:20px;font-size:.9em;font-weight:600;margin-bottom:.6rem}
+.badge-blue{background:#dbeafe;color:#1e40af}
+.badge-orange{background:#fed7aa;color:#c2410c}
+.badge-green{background:#d1fae5;color:#065f46}
+.badge-purple{background:#ede9fe;color:#5b21b6}
+.badge-red{background:#fee2e2;color:#991b1b}
+
+.flow-row{display:flex;align-items:center;justify-content:center;gap:1rem;flex-wrap:wrap;margin:.6em 0}
+.flow-node{background:var(--surface-2);border:2px solid var(--accent2);border-radius:12px;padding:.8rem 1.4rem;text-align:center;font-size:clamp(.9em,1.3vw,1.1em);font-weight:600;color:var(--text);min-width:140px;box-shadow:var(--shadow)}
+.flow-node.accent{background:var(--gradient1);color:white;border-color:var(--accent)}
+.flow-node.warm{background:linear-gradient(135deg,#FF6B00,#FF8F3A);color:white;border-color:#FF6B00}
+.flow-node.orange{background:linear-gradient(135deg,#ff6b00,#ff9500);color:white;border-color:#ff6b00}
+.flow-node.green{background:#065f46;color:white;border-color:#065f46}
+.flow-arrow{font-size:1.6em;color:var(--accent2);font-weight:700}
+.flow-label{font-size:1em;color:var(--muted);text-align:center;margin:.3em 0;font-weight:600}
+.arrow{font-size:1.3em;color:var(--accent2);font-weight:700}
+
+.gantt-wrap{overflow-x:auto;width:100%;margin-top:.6rem;display:grid;grid-template-columns:max-content 1fr;column-gap:.6rem;row-gap:.22rem;align-items:center;font-size:clamp(.85em,1.2vw,1em)}
+.gantt-row{display:contents}
+.gantt-label{min-width:0;width:auto;color:var(--text);font-weight:500}
+.gantt-track{background:var(--border);border-radius:4px;height:22px;position:relative;min-width:240px}
+.gantt-bar{position:absolute;height:100%;border-radius:4px}
+.gantt-row.gantt-sep > .gantt-label,.gantt-row.gantt-sep > .gantt-track{margin-top:.4rem}
+
+.highlight-box{background:linear-gradient(135deg,#e5eaf4,#e5f1fa);border-left:4px solid var(--accent2);border-radius:10px;padding:1.3rem 1.8rem;margin-top:1.5rem;font-size:1.1em}
+.accent-box{background:linear-gradient(135deg,#ffe2cc,#fff4ea);border-left:4px solid var(--accent3);border-radius:10px;padding:1.3rem 1.8rem;margin-top:1rem;font-size:1.1em}
+
+table{width:100%;border-collapse:collapse;font-size:clamp(.9em,1.3vw,1.05em);margin-top:.6rem}
+th{background:var(--gradient1);color:white;padding:12px 16px;text-align:left;font-weight:600}
+td{padding:10px 16px;border-bottom:1px solid var(--border)}
+tr:nth-child(even) td{background:#f1f4fa}
+
+.big-number{font-size:clamp(3em,6vw,5em);font-weight:900;color:var(--accent2);line-height:1}
+.big-label{font-size:1.1em;color:var(--muted);margin-top:.3em}
+
+/* ── Sparse-slide modifiers (2026-05-03) ───────────────────────────────
+ * The base font-sizes assume a content-dense slide (close to the per-slide
+ * cap). Slides with little content (1 short table, 1 small flow-row,
+ * ≤6 bullets, etc.) end up using only ~50% of the 1920×1080 canvas with
+ * tiny text. These two modifier classes bump the in-slide typography so
+ * the visible content fills more of the frame. The min font-sizes stay
+ * intact for content-dense slides — only sparse slides opt in.
+ *
+ * Heuristic for the agent (see "Slide Density Sizing" in the prompt):
+ *   slide--sparse       — ~1.3× bump : ≤8 short bullets, OR 1 small table
+ *                         (≤6 rows), OR 1 flow-row + ≤6 bullets, OR ≤2
+ *                         cards in card-grid.
+ *   slide--very-sparse  — ~1.5× bump : ≤4 short bullets, OR a single
+ *                         small table (≤4 rows), OR 1 flow-row only, OR
+ *                         a single highlight-box/accent-box, OR a single
+ *                         big-number metric.
+ * Header/footer chrome (slide-number, attribution, badge) intentionally
+ * unchanged so the visual baseline of the deck stays consistent.
+ */
+.slide.slide--sparse h2{font-size:2.6em}
+.slide.slide--sparse h3{font-size:1.5em}
+.slide.slide--sparse p{font-size:1.35em}
+.slide.slide--sparse ul li{font-size:1.5em;margin:.7em 0}
+.slide.slide--sparse table{font-size:1.2em}
+.slide.slide--sparse th,.slide.slide--sparse td{padding:14px 18px}
+.slide.slide--sparse .flow-node{font-size:1.3em;padding:1rem 1.6rem;min-width:170px}
+.slide.slide--sparse .flow-arrow{font-size:1.9em}
+.slide.slide--sparse .card-title{font-size:1.55em}
+.slide.slide--sparse .card{padding:1.7rem 2rem}
+.slide.slide--sparse .highlight-box,.slide.slide--sparse .accent-box{font-size:1.3em;padding:1.5rem 2rem}
+.slide.slide--sparse .gantt-wrap{font-size:1.15em}
+
+.slide.slide--very-sparse h2{font-size:3em}
+.slide.slide--very-sparse h3{font-size:1.7em}
+.slide.slide--very-sparse p{font-size:1.55em}
+.slide.slide--very-sparse ul li{font-size:1.7em;margin:.85em 0}
+.slide.slide--very-sparse table{font-size:1.4em}
+.slide.slide--very-sparse th,.slide.slide--very-sparse td{padding:16px 22px}
+.slide.slide--very-sparse .flow-node{font-size:1.55em;padding:1.2rem 1.9rem;min-width:200px}
+.slide.slide--very-sparse .flow-arrow{font-size:2.2em}
+.slide.slide--very-sparse .card-title{font-size:1.8em}
+.slide.slide--very-sparse .card{padding:1.9rem 2.3rem}
+.slide.slide--very-sparse .highlight-box,.slide.slide--very-sparse .accent-box{font-size:1.55em;padding:1.8rem 2.4rem}
+.slide.slide--very-sparse .gantt-wrap{font-size:1.3em}
+
+/* ── Dense-doc modifier (文字多め / Japanese document-style) ──────────────
+ * The OPPOSITE of slide--sparse. For "read-as-document" decks (提案書・
+ * 報告書 / RFP where slides double as standalone reading material) you want
+ * MORE text per slide, not bigger text. This modifier keeps fonts AT the
+ * floor (never below — critical rule #2 still holds) but tightens
+ * line-height / margins / gaps and enables 2-column body prose so a slide
+ * holds full sentences + many bullets without overflowing 1080px. Used by
+ * "dense-doc" mode ONLY — never auto-applied, and the sparse-bump heuristic
+ * does NOT run in this mode (see §Slide Density Sizing dense-doc note).
+ */
+.slide.slide--dense{padding:56px 80px 80px}
+.slide.slide--dense .lead{font-size:1.5em;font-weight:700;color:var(--accent);line-height:1.35;margin-bottom:.5em;border-left:6px solid var(--accent2);padding-left:.55em;padding-right:120px}/* padding-right clears the top-right brand-mark (right:32px+96px wide) so the lead's first line never runs under the logo */
+.slide.slide--dense h2{font-size:1.9em;margin-bottom:.25em}
+.slide.slide--dense h3{font-size:1.15em;margin:.45em 0 .2em}
+.slide.slide--dense p{font-size:1.05em;line-height:1.5;margin-bottom:.55rem;color:var(--text)}
+.slide.slide--dense ul{margin-top:.2rem}
+.slide.slide--dense ul li{font-size:1.1em;margin:.28em 0;line-height:1.45}
+.slide.slide--dense .body-2col{column-count:2;column-gap:2.4rem}
+.slide.slide--dense .body-2col li{break-inside:avoid}
+.slide.slide--dense .card-grid{gap:.8rem;margin-top:.4rem}
+.slide.slide--dense .card{padding:1rem 1.2rem;border-radius:12px}
+.slide.slide--dense .card-title{font-size:1.15em;margin-bottom:.3em}
+.slide.slide--dense table{font-size:.95em;margin-top:.4rem}
+.slide.slide--dense th,.slide.slide--dense td{padding:7px 12px}
+.slide.slide--dense .highlight-box,.slide.slide--dense .accent-box{padding:.9rem 1.3rem;margin-top:.7rem;font-size:1.05em}
+.slide.slide--dense .footnote{font-size:.8em;color:var(--muted);margin-top:.6rem;line-height:1.4}
+
+.attribution{position:absolute;bottom:14px;left:24px;font-size:12px;color:var(--muted);opacity:.6;pointer-events:none}
+.slide.cover .attribution,.slide.section-divider .attribution{color:rgba(255,255,255,.55)}
+.slide-number{position:absolute;bottom:14px;right:24px;font-size:14px;color:var(--muted);opacity:.7}
+.slide.cover .slide-number,.slide.section-divider .slide-number{color:rgba(255,255,255,.7)}
+
+.brand-mark{position:absolute;top:22px;right:32px;width:96px;height:auto;pointer-events:none;z-index:5}
+
+#slide-nav{position:fixed;top:0;left:0;right:0;background:rgba(0,48,135,.97);color:white;padding:10px 20px;display:flex;align-items:center;justify-content:space-between;z-index:1000;gap:1rem;font-size:.95em}
+#slide-nav button{background:rgba(255,255,255,.15);color:white;border:1px solid rgba(255,255,255,.3);border-radius:6px;padding:6px 14px;cursor:pointer;font-size:1em}
+.theme-toggle{position:fixed;top:64px;right:20px;z-index:999;background:var(--surface);border:1px solid var(--border);border-radius:8px;padding:6px 12px;cursor:pointer;font-size:1.1em;box-shadow:var(--shadow)}
+body{padding-top:54px}
+
+.thumb-nav{position:fixed;left:0;top:54px;bottom:0;width:220px;background:var(--surface);border-right:1px solid var(--border);overflow-y:auto;padding:12px 10px;z-index:998;display:none}
+.thumb-nav.open{display:block}
+body.thumbs-open{padding-left:220px}
+body.thumbs-open .theme-toggle{left:240px;right:auto}
+.thumb{width:200px;height:112px;margin-bottom:10px;border:2px solid var(--border);border-radius:4px;overflow:hidden;cursor:pointer;position:relative;background:#fff}
+.thumb:hover{border-color:var(--accent2)}
+.thumb.active{border-color:var(--accent3);box-shadow:0 0 0 2px rgba(255,107,0,.3)}
+.thumb-inner{width:1920px;height:1080px;transform:scale(0.1042);transform-origin:top left;pointer-events:none}
+.thumb-num{position:absolute;top:3px;left:4px;font-size:10px;font-weight:600;background:rgba(0,0,0,.65);color:#fff;padding:1px 5px;border-radius:3px;z-index:2}
+.thumb-toggle{position:fixed;top:64px;left:20px;z-index:999;background:var(--surface);border:1px solid var(--border);border-radius:8px;padding:6px 12px;cursor:pointer;font-size:1.1em;box-shadow:var(--shadow)}
+
+/* ── Architecture diagram patterns (redraw source Mermaid into these; NEVER
+ *    embed Mermaid/SVG — dom-to-pptx rasterises it → not editable). See
+ *    /usr/local/share/vibeflow/skills/slide-craft/patterns/arch-diagrams.html for ready HTML.
+ *    Shared node colours are used by arch-node / .proj / .tnode. ───────────── */
+/* shared coloured box */
+.arch-node,.proj,.tnode{border:1px solid var(--border-strong);border-radius:8px;padding:.45rem .6rem;font-weight:600;font-size:.88em;line-height:1.25;background:#fff;color:var(--text)}
+.arch-node small,.proj small,.tnode small{display:block;font-weight:500;color:var(--muted);font-size:.82em}
+.arch-node.blue,.proj.blue,.tnode.blue{background:#dbeafe;border-color:#93c5fd;color:#1e40af}
+.arch-node.green,.proj.green,.tnode.green{background:#d1fae5;border-color:#6ee7b7;color:#065f46}
+.arch-node.orange,.proj.orange,.tnode.orange{background:#fed7aa;border-color:#fdba74;color:#c2410c}
+.arch-node.purple,.proj.purple,.tnode.purple{background:#ede9fe;border-color:#c4b5fd;color:#5b21b6}
+.arch-node.red,.proj.red,.tnode.red{background:#fee2e2;border-color:#fca5a5;color:#991b1b}
+.arch-node.cyan,.proj.cyan,.tnode.cyan{background:#cffafe;border-color:#67e8f9;color:#0e7490}
+.proj.muted,.tnode.muted{background:#f1f5f9;border-style:dashed;color:var(--muted)}
+/* (1) LAYERED — tiers as columns with titles (Mermaid flowchart LR/TB with parallel layers) */
+.arch-wrap{display:grid;gap:.5rem;margin-top:.6rem;align-items:start}
+.arch-layer{background:var(--surface-2);border:1px solid var(--border);border-radius:10px;padding:.8rem;text-align:center}
+.arch-layer-title{font-weight:700;font-size:.95em;color:var(--accent);margin-bottom:.4rem;border-bottom:2px solid var(--accent2);padding-bottom:.3rem}
+.arch-layer .arch-node{margin:.25rem 0}
+/* (2) GROUPED CLUSTER — bordered groups + nested sub-clusters + ⇄ connectors
+ *     (Mermaid subgraph / nested topology: VPC, multi-cloud) */
+.cloud-flow{display:flex;align-items:stretch;justify-content:center;gap:.55rem;margin-top:.7rem}
+.cloud-flow .flow-arrow{align-self:center;flex:0 0 auto}
+.zone-col{display:flex;flex-direction:column;gap:.55rem}
+.arch-group{border:2px solid var(--border-strong);border-radius:12px;padding:.6rem .7rem;background:var(--surface-2);display:flex;flex-direction:column}
+.arch-group-title{font-weight:700;font-size:.88em;color:var(--accent);text-align:center;margin-bottom:.45rem;padding-bottom:.3rem;border-bottom:2px solid var(--accent2)}
+.arch-group>.arch-node{margin:.2rem 0}
+.arch-sub{border:1px dashed var(--border-strong);border-radius:8px;padding:.4rem;margin-top:.4rem}
+.arch-sub-title{font-size:.74em;font-weight:700;color:var(--muted);text-align:center;margin-bottom:.3rem}
+.ngrid{display:grid;grid-template-columns:1fr 1fr;gap:.4rem}
+.ngrid.three{grid-template-columns:1fr 1fr 1fr}
+/* (3) HIERARCHY via nested containment — Org wraps Folders wrap Projects
+ *     (Mermaid tree / org-chart). Containment shows parent→child, no fragile lines. */
+.org{border:2.5px solid var(--accent);border-radius:16px;margin-top:1rem;padding:0 1.2rem 1.2rem}
+.org-title{display:inline-block;transform:translateY(-50%);background:var(--gradient1);color:#fff;font-weight:700;padding:.5rem 1.4rem;border-radius:10px;font-size:1.05em}
+.org-title small{font-weight:500;opacity:.85;margin-left:.5rem;color:#fff}
+.folder-row{display:flex;gap:1rem;align-items:flex-start;margin-top:-.4rem}
+.folder{flex:1;border:2px solid var(--border-strong);border-radius:12px;padding:0 .8rem .9rem;background:var(--surface-2)}
+.folder-title{display:inline-block;transform:translateY(-50%);font-weight:700;padding:.35rem 1rem;border-radius:8px;font-size:.92em;background:#dbeafe;color:#1e40af}
+.folder .proj{margin:.4rem 0;display:flex;justify-content:space-between;align-items:center}
+.folder .proj small{display:inline}
+</style>
+</head>
+<body>
+<div id="slide-nav">
+  <div><strong>Cowork-Local BamBOO</strong></div>
+  <div><button onclick="prevSlide()">◀</button> <span id="nav-pos">1 / N</span> <button onclick="nextSlide()">▶</button></div>
+</div>
+<button class="thumb-toggle" onclick="toggleThumbs()" title="Slides">☰</button>
+<button class="theme-toggle" onclick="toggleTheme()">🌙</button>
+<aside class="thumb-nav" id="thumb-nav"></aside>
+<div class="deck">
+<section class="slide cover" id="s1">
+  <svg width="188" height="116" viewBox="0 0 34 21" xmlns="http://www.w3.org/2000/svg" style="display:block;margin:0 auto 1.8rem;filter:drop-shadow(0 2px 8px rgba(0,0,0,.25))">
+    <path d="M6.68439 3.50089C4.75756 3.50089 3.12259 4.75793 2.55021 6.5013C2.53888 6.54111 2.52471 6.58093 2.51338 6.6179L2.41703 6.99331L0 17.499H6.08934C7.90849 17.499 9.45845 16.3415 10.0478 14.7204L10.2774 13.7193L12.6292 3.49805H6.68439V3.50089Z" fill="#08509F"/>
+    <path d="M18.1691 0C16.18 0 14.5025 1.34236 13.984 3.17389C13.9443 3.3104 13.9131 3.44976 13.8876 3.59196L9.88379 21H15.8286C17.866 21 19.5746 19.5951 20.0506 17.6981H20.0535L24.1196 0H18.1691Z" fill="#F27123"/>
+    <path d="M28.0555 3.50098C26.1967 3.50098 24.6099 4.6727 23.9865 6.31937C23.9553 6.40469 23.8448 6.75165 23.8448 6.75165L21.3711 17.5019H27.3159C29.3589 17.5019 31.0732 16.0885 31.5408 14.183L33.9975 3.50382H28.0555V3.50098Z" fill="#51B748"/>
+    <path d="M4.03217 7.37699C3.69781 7.6557 3.48246 7.99413 3.41728 8.26431L2.15918 13.9637H2.23002C2.62105 13.9637 2.98942 13.8243 3.32378 13.5484C3.66097 13.2726 3.87349 12.9341 3.95566 12.5445L4.27869 11.0969H6.97908C7.37011 11.0969 7.74131 10.9576 8.07851 10.6817C8.4157 10.4058 8.63105 10.0646 8.71606 9.67208L8.73023 9.60098H4.61305L4.86524 8.46055H8.76706C9.1581 8.46055 9.52646 8.32119 9.86366 8.04817C10.198 7.7723 10.4049 7.42818 10.4955 7.03855L10.5125 6.96745H5.12593C4.73489 6.96176 4.36653 7.10112 4.03217 7.37699Z" fill="white"/>
+    <path d="M31.52 7.30069C31.3047 7.08455 31.0213 6.97363 30.6813 6.97363H25.2975L25.289 7.02198C25.2691 7.12721 25.2578 7.22675 25.2578 7.3206C25.2578 7.6505 25.3683 7.92637 25.5837 8.14535C25.8019 8.3615 26.0824 8.47241 26.4252 8.47241H27.587L26.4196 13.9642H26.4932C26.8843 13.9642 27.2498 13.8248 27.5842 13.5518C27.9185 13.2759 28.1254 12.9375 28.2076 12.545L29.0718 8.46957H31.809L31.8175 8.42122C31.8374 8.32168 31.8487 8.21645 31.8487 8.11407C31.8459 7.78986 31.7354 7.51683 31.52 7.30069Z" fill="white"/>
+    <path d="M19.7101 6.96223H16.0718L16.0747 6.95654H14.5785L13.0938 13.9641H13.1646C13.5556 13.9641 13.924 13.8248 14.2555 13.5489C14.587 13.273 14.7967 12.9346 14.8789 12.545L15.1821 11.1059H18.8544C19.2454 11.1059 19.611 10.9666 19.9453 10.6935C20.2768 10.4205 20.4894 10.0792 20.5772 9.68108L20.8521 8.41551C20.8719 8.31597 20.8832 8.21359 20.8832 8.10836C20.8832 7.78414 20.7727 7.51112 20.5517 7.29213C20.3364 7.07315 20.0502 6.96223 19.7101 6.96223ZM15.7488 8.46101H19.3531L19.1038 9.60714H15.4995L15.7488 8.46101Z" fill="white"/>
+  </svg>
+  <h1 style="font-size:3.2em;margin-bottom:0.4em">Cowork-Local BamBOO</h1>
+  <p style="font-size:1.6em;opacity:.85">Enterprise AI Business Assistant</p>
+  <span class="slide-number">Slide 1 / 11</span>
+</section><section class="slide slide--very-sparse" id="s2">
+  <h2>Mục đích ứng dụng</h2>
+  <div class="card-grid grid2">
+    <div class="card">
+      <div class="card-title">Vấn đề</div>
+      <ul>
+        <li>Nhân viên văn phòng cần AI hỗ trợ tác vụ hàng ngày: tổng hợp báo cáo, phân tích dữ liệu, tạo tài liệu.</li>
+        <li>Giải pháp hiện tại quá đơn giản (chat thuần túy) hoặc quá phức tạp (cần kiến thức lập trình).</li>
+        <li>Thiếu công cụ AI <strong>doanh nghiệp</strong>: bảo mật, quản lý tài khoản, tích hợp hệ thống văn phòng.</li>
+      </ul>
+    </div>
+    <div class="card">
+      <div class="card-title">Giải pháp — Cowork-Local BamBOO</div>
+      <ul>
+        <li>Ứng dụng desktop AI đa năng cho doanh nghiệp.</li>
+        <li>Hỗ trợ 3 ngôn ngữ: Việt, Anh, Nhật.</li>
+        <li>Tích hợp Microsoft 365 (OneDrive, SharePoint).</li>
+        <li>Quản lý tài khoản (Admin/Sub-admin/User), phân quyền, giám sát chi phí.</li>
+        <li><strong>Không cần kiến thức lập trình</strong> — dùng như chat, kết quả là file thực tế.</li>
+      </ul>
+    </div>
+  </div>
+  <span class="slide-number">Slide 2 / 13</span>
+</section><section class="slide slide--very-sparse" id="s3">
+  <h2>Kiến trúc tổng quan</h2>
+  <div class="arch-wrap" style="grid-template-columns:repeat(4,1fr)">
+    <div class="arch-layer">
+      <div class="arch-layer-title">UI Layer (PySide6/Qt)</div>
+      <div class="arch-node blue">Dashboard<small>thống kê chi phí</small></div>
+      <div class="arch-node blue">Schedule<small>Kanban board</small></div>
+      <div class="arch-node blue">Workspace<small>5 sub-tabs</small></div>
+      <div class="arch-node blue">Monitoring<small>Security · MCP · Logs</small></div>
+      <div class="arch-node blue">Settings · Login · Help</div>
+    </div>
+    <div class="arch-layer">
+      <div class="arch-layer-title">Core Business Logic</div>
+      <div class="arch-node green">Chat Agent<small>Cowork</small></div>
+      <div class="arch-node green">Code Agent</div>
+      <div class="arch-node green">Co4E Workflow<small>DAG multi-agent</small></div>
+      <div class="arch-node green">Schedule Task<small>cron + chaining</small></div>
+      <div class="arch-node green">Projects · Accounts · Skills</div>
+      <div class="arch-node green">Doc Extract · PPTX · XLSX</div>
+    </div>
+    <div class="arch-layer">
+      <div class="arch-layer-title">Routing &amp; Providers</div>
+      <div class="arch-node purple">Auto Model Routing<small>classify → score → select</small></div>
+      <div class="arch-node purple">OpenAI Compatible</div>
+      <div class="arch-node purple">Anthropic · Ollama</div>
+      <div class="arch-node purple">Copilot · Codex</div>
+      <div class="arch-node purple">Model Pricing · Benchmark</div>
+    </div>
+    <div class="arch-layer">
+      <div class="arch-layer-title">Security &amp; Integration</div>
+      <div class="arch-node orange">Agent Security<small>3 lớp bảo mật</small></div>
+      <div class="arch-node orange">Sandbox Manager<small>risk-based</small></div>
+      <div class="arch-node orange">MCP Client + Servers</div>
+      <div class="arch-node orange">MS365 · Jira · Ext</div>
+      <div class="arch-node orange">Audit Log · Usage Tracker</div>
+      <div class="arch-node orange">Doc Extract · Image Gen</div>
+    </div>
+  </div>
+  <div class="highlight-box"><strong>Bảo mật xuyên suốt:</strong> Risk Classifier → Backend Selector → Execution (Direct / Integrity Job / AppContainer / Win Sandbox).</div>
+  <div class="footnote">Kiến trúc 4 lớp: UI → Core → Routing/Providers → Security/Integration. Mỗi layer có thể mở rộng độc lập. Tổng cộng 50+ module trong core/, 30+ UI components. Hỗ trợ Windows, macOS, Linux. I18n: Tiếng Việt, English, 日本語. Dark/Light theme tích hợp sẵn.</div>
+  <div class="accent-box" style="margin-top:0.6rem"><strong>Thiết kế modular:</strong> mỗi layer giao tiếp qua interface rõ ràng, dễ dàng thay thế hoặc mở rộng thành phần.</div>
+  <span class="slide-number">Slide 3 / 13</span>
+</section><section class="slide slide--very-sparse" id="s4">
+  <h2>Luồng xử lý chính: Chat Cowork</h2>
+  <div class="flow-row">
+    <div class="flow-node">User Input + file</div>
+    <span class="flow-arrow">→</span>
+    <div class="flow-node accent">Chat Agent<small>apply skills · rules · project ctx</small></div>
+    <span class="flow-arrow">→</span>
+    <div class="flow-node">Auto Model Routing<small>classify → rank → switch</small></div>
+    <span class="flow-arrow">→</span>
+    <div class="flow-node">Agent Security L1<small>prompt validate</small></div>
+  </div>
+  <div class="flow-row">
+    <div class="flow-node">Provider Chat Loop<small>streaming response</small></div>
+    <span class="flow-arrow">→</span>
+    <div class="flow-node accent">Tool Calling<small>file / command / MCP / MS365</small></div>
+    <span class="flow-arrow">→</span>
+    <div class="flow-node">Security L2+L3<small>attachment + command check</small></div>
+    <span class="flow-arrow">→</span>
+    <div class="flow-node green">Output Files<small>.xlsx · .pptx · .docx · .md</small></div>
+  </div>
+  <div class="highlight-box"><strong>Kết quả là file thực tế</strong> — không chỉ là câu trả lời chat, AI tạo ra tài liệu/báo cáo có thể dùng ngay.</div>
+  <div class="footnote">Tool calling hỗ trợ: file I/O, command execution, MCP connectors, MS365 Graph API, Jira, và external connectors framework.</div>
+  <div class="accent-box" style="margin-top:1rem"><strong>Đa provider:</strong> OpenAI, Anthropic, Ollama, GitHub Copilot, Codex — tự động chọn model phù hợp.</div>
+  <span class="slide-number">Slide 4 / 13</span>
+</section>
+
+<section class="slide slide--very-sparse" id="s5">
+  <h2>Luồng xử lý: Co4E Workflow</h2>
+  <div class="flow-row">
+    <div class="flow-node">Wave 0<small>Step A</small></div>
+    <span class="flow-arrow">→</span>
+    <div class="flow-node accent">Wave 1 (parallel)<small>Sub 1 + Sub 2 chạy đồng thời</small></div>
+    <span class="flow-arrow">→</span>
+    <div class="flow-node">Wave 2 (join)<small>Coordinator tổng hợp</small></div>
+  </div>
+  <div class="card-grid grid3">
+    <div class="card">
+      <div class="card-title">Mỗi step</div>
+      <ul>
+        <li>Agent persona (built-in / custom)</li>
+        <li>Model riêng</li>
+        <li>Permission preset</li>
+        <li>Self-verify (quality gate)</li>
+        <li>Skills đính kèm</li>
+      </ul>
+    </div>
+    <div class="card">
+      <div class="card-title">Run modes</div>
+      <ul>
+        <li><strong>Auto</strong> — AI tự thực hiện</li>
+        <li><strong>Plan</strong> — read-only</li>
+        <li><strong>Manual</strong> — step-by-step</li>
+      </ul>
+    </div>
+    <div class="card">
+      <div class="card-title">Lưu ý</div>
+      <ul>
+        <li>Workflow là DAG — không có retry/loop/condition/branch tự động.</li>
+        <li>Parallel node chạy sub-agent đồng thời + join stage.</li>
+      </ul>
+    </div>
+  </div>
+  <span class="slide-number">Slide 5 / 13</span>
+</section>
+
+<section class="slide slide--very-sparse" id="s6">
+  <h2>Luồng xử lý: Schedule Task</h2>
+  <div class="flow-row">
+    <div class="flow-node">Backlog</div>
+    <span class="flow-arrow">→</span>
+    <div class="flow-node accent">Scheduled</div>
+    <span class="flow-arrow">→</span>
+    <div class="flow-node">Running</div>
+    <span class="flow-arrow">→</span>
+    <div class="flow-node green">Done</div>
+  </div>
+  <div class="card-grid grid3">
+    <div class="card">
+      <div class="card-title">Trạng thái phụ</div>
+      <ul>
+        <li>Paused</li>
+        <li>Failed</li>
+        <li>Waiting Input</li>
+      </ul>
+    </div>
+    <div class="card">
+      <div class="card-title">Lập lịch</div>
+      <ul>
+        <li>One-shot · Daily · Weekly · Monthly · Cron</li>
+        <li>Skip: working days + holiday calendar</li>
+        <li>Task chaining (fan-in depends_on)</li>
+      </ul>
+    </div>
+    <div class="card">
+      <div class="card-title">Kiểm soát</div>
+      <ul>
+        <li>Retry: max_retry</li>
+        <li>Timeout: per-task (600s)</li>
+        <li>Notify: Teams webhook / Outlook desktop</li>
+      </ul>
+    </div>
+  </div>
+  <div class="footnote">Hỗ trợ import task từ CSV/Excel, tự động chain theo thứ tự, và lịch nghỉ lễ (VN/JP/US/KR…).</div>
+  <span class="slide-number">Slide 6 / 13</span>
+</section><section class="slide" id="s7">
+  <h2>Chức năng hiện tại (1/4)</h2>
+  <h3>Chat &amp; Agent</h3>
+  <table>
+    <thead><tr><th>Chức năng</th><th>Mô tả</th><th>Trạng thái</th></tr></thead>
+    <tbody>
+      <tr><td><strong>Cowork Chat</strong></td><td>Chat với AI, đính kèm file, nhận output file thực tế</td><td>✅ Hoàn chỉnh</td></tr>
+      <tr><td><strong>Code Agent</strong></td><td>Agent chuyên biệt cho task phát triển phần mềm</td><td>✅ Hoàn chỉnh</td></tr>
+      <tr><td><strong>AI Edit</strong></td><td>Chỉnh sửa file bằng AI, hỗ trợ tạo ảnh minh họa</td><td>✅ Hoàn chỉnh</td></tr>
+      <tr><td><strong>Help Agent</strong></td><td>Trợ lý hỗ trợ sử dụng app, luôn sẵn sàng</td><td>✅ Hoàn chỉnh</td></tr>
+      <tr><td><strong>Multi-provider</strong></td><td>OpenAI, Anthropic, Ollama, GitHub Copilot, Codex</td><td>✅ Hoàn chỉnh</td></tr>
+    </tbody>
+  </table>
+  <h3>Workspace &amp; Project</h3>
+  <table>
+    <thead><tr><th>Chức năng</th><th>Mô tả</th><th>Trạng thái</th></tr></thead>
+    <tbody>
+      <tr><td><strong>Projects</strong></td><td>Mỗi project có instructions + sandbox riêng</td><td>✅ Hoàn chỉnh</td></tr>
+      <tr><td><strong>Structure Graph</strong></td><td>Đồ thị cấu trúc từ code/tài liệu (AST-based)</td><td>✅ Hoàn chỉnh</td></tr>
+      <tr><td><strong>Folder Viewer</strong></td><td>Xem &amp; chỉnh sửa file (PDF/DOCX/XLSX)</td><td>✅ Hoàn chỉnh</td></tr>
+      <tr><td><strong>Terminal</strong></td><td>Terminal tích hợp trong app</td><td>✅ Hoàn chỉnh</td></tr>
+    </tbody>
+  </table>
+  <div class="footnote">Tổng cộng 9 tính năng trong nhóm Chat & Agent và Workspace & Project, tất cả đã hoàn chỉnh và sẵn sàng sử dụng. Multi-provider hỗ trợ OpenAI, Anthropic, Ollama, GitHub Copilot, Codex.</div>
+  <span class="slide-number">Slide 7 / 13</span>
+</section>
+
+<section class="slide slide--sparse" id="s8">
+  <h2>Chức năng hiện tại (2/4) — Automation · Integration</h2>
+  <h3>Automation</h3>
+  <table>
+    <thead><tr><th>Chức năng</th><th>Mô tả</th><th>Trạng thái</th></tr></thead>
+    <tbody>
+      <tr><td><strong>Co4E Workflow</strong></td><td>DAG workflow đa bước, multi-agent, chạy song song</td><td>✅ Hoàn chỉnh</td></tr>
+      <tr><td><strong>Schedule Task</strong></td><td>Lên lịch task tự động, Kanban board, cron, chaining</td><td>✅ Hoàn chỉnh</td></tr>
+      <tr><td><strong>Skills</strong></td><td>Thư viện skill tích hợp sẵn (5 skills), Skill Manager</td><td>✅ Hoàn chỉnh</td></tr>
+      <tr><td><strong>Plan Checklist</strong></td><td>Agent tự động tạo &amp; theo dõi checklist công việc</td><td>✅ Hoàn chỉnh</td></tr>
+    </tbody>
+  </table>
+  <h3>Integration</h3>
+  <table>
+    <thead><tr><th>Chức năng</th><th>Mô tả</th><th>Trạng thái</th></tr></thead>
+    <tbody>
+      <tr><td><strong>Microsoft 365</strong></td><td>OneDrive (đọc/ghi), SharePoint (đọc) — auto-connect</td><td>✅ Hoàn chỉnh</td></tr>
+      <tr><td><strong>MCP Connectors</strong></td><td>Kết nối external tools qua Model Context Protocol</td><td>✅ Hoàn chỉnh</td></tr>
+      <tr><td><strong>Jira</strong></td><td>Read-only: search issues, get issue details</td><td>✅ Hoàn chỉnh</td></tr>
+      <tr><td><strong>Ext Connectors</strong></td><td>Framework CAD/CAE/MS365/Other</td><td>✅ Hoàn chỉnh</td></tr>
+    </tbody>
+  </table>
+  <span class="slide-number">Slide 8 / 13</span>
+</section>
+
+<section class="slide slide--very-sparse" id="s9">
+  <h2>Chức năng hiện tại (3/4) — Administration</h2>
+  <table>
+    <thead><tr><th>Chức năng</th><th>Mô tả</th><th>Trạng thái</th></tr></thead>
+    <tbody>
+      <tr><td><strong>Tài khoản &amp; RBAC</strong></td><td>Admin / Sub-admin / User, import/export Excel</td><td>✅ Hoàn chỉnh</td></tr>
+      <tr><td><strong>Groups</strong></td><td>Nhóm tài khoản để phân quyền theo nhóm</td><td>✅ Hoàn chỉnh</td></tr>
+      <tr><td><strong>Dashboard</strong></td><td>Thống kê token usage &amp; chi phí, biểu đồ spline</td><td>✅ Hoàn chỉnh</td></tr>
+      <tr><td><strong>Auto Model Routing</strong></td><td>Benchmark model, tự động định tuyến (Auto/Manual/Off)</td><td>✅ Hoàn chỉnh</td></tr>
+      <tr><td><strong>Agent Security</strong></td><td>3 lớp bảo mật: prompt, attachment, command</td><td>✅ Hoàn chỉnh</td></tr>
+      <tr><td><strong>Sandbox</strong></td><td>Risk-based: Direct/Integrity/AppContainer/Win Sandbox</td><td>✅ Hoàn chỉnh</td></tr>
+      <tr><td><strong>Monitoring</strong></td><td>Overview, Security, MCP, Logs, Agent Status</td><td>✅ Hoàn chỉnh</td></tr>
+      <tr><td><strong>Audit Log</strong></td><td>tool_call, permission, security_block, mcp_call</td><td>✅ Hoàn chỉnh</td></tr>
+      <tr><td><strong>Model Pricing</strong></td><td>Bảng giá model, tùy chỉnh USD/token</td><td>✅ Hoàn chỉnh</td></tr>
+    </tbody>
+  </table>
+  <span class="slide-number">Slide 9 / 13</span>
+</section>
+
+<section class="slide slide--very-sparse" id="s10">
+  <h2>Chức năng hiện tại (4/4) — Document &amp; File</h2>
+  <table>
+    <thead><tr><th>Chức năng</th><th>Mô tả</th><th>Trạng thái</th></tr></thead>
+    <tbody>
+      <tr><td><strong>Doc Extract</strong></td><td>Trích xuất text từ PDF/DOCX/XLSX/PPTX/images</td><td>✅ Hoàn chỉnh</td></tr>
+      <tr><td><strong>PPTX Edit</strong></td><td>Tạo và chỉnh sửa PowerPoint files</td><td>✅ Hoàn chỉnh</td></tr>
+      <tr><td><strong>XLSX Write</strong></td><td>Tạo Excel files với styling</td><td>✅ Hoàn chỉnh</td></tr>
+      <tr><td><strong>Image Gen</strong></td><td>Tạo ảnh bằng AI</td><td>✅ Hoàn chỉnh</td></tr>
+      <tr><td><strong>Link Fetch</strong></td><td>Fetch URL preview cho task attachments</td><td>✅ Hoàn chỉnh</td></tr>
+    </tbody>
+  </table>
+  <div class="highlight-box"><strong>Tổng cộng:</strong> 30+ tính năng đã hoàn chỉnh, sẵn sàng dùng trong doanh nghiệp.</div>
+  <div class="footnote">Doc Extract hỗ trợ PDF, DOCX, XLSX, PPTX, images. PPTX Edit tạo và chỉnh sửa slide với font/styling. XLSX Write tạo Excel có màu sắc, border.</div>
+  <div class="accent-box" style="margin-top:1rem"><strong>AI tạo file trực tiếp</strong> — từ câu lệnh chat, AI sinh ra tài liệu/báo cáo/ảnh dùng ngay được.</div>
+  <span class="slide-number">Slide 10 / 13</span>
+</section><section class="slide slide--sparse" id="s11">
+  <h2>Hướng dẫn build &amp; chạy ứng dụng</h2>
+  <div class="card-grid grid2">
+    <div class="card">
+      <div class="card-title">Yêu cầu hệ thống</div>
+      <ul>
+        <li>Python 3.10+ (khuyến nghị 3.11/3.12)</li>
+        <li>OS: Windows 10/11, macOS, Linux</li>
+        <li>Network: cần internet để cài dependencies &amp; gọi API AI</li>
+      </ul>
+      <div class="card-title" style="margin-top:1rem">Cài &amp; chạy</div>
+      <ul>
+        <li><code>pip install -r requirements.txt</code></li>
+        <li><code>python -m cowork_local</code> hoặc <code>python __main__.py</code></li>
+      </ul>
+    </div>
+    <div class="card">
+      <div class="card-title">Cấu hình API key</div>
+      <ul>
+        <li>Settings (⚙) → chọn provider → nhập API key &amp; base URL.</li>
+        <li>Hoặc đặt qua environment variables: <code>OPENAI_API_KEY</code>, <code>OPENAI_BASE_URL</code>…</li>
+      </ul>
+      <div class="card-title" style="margin-top:1rem">Lưu ý</div>
+      <ul>
+        <li>Cấu hình lưu tại <code>~/.cowork_local/config.json</code></li>
+        <li>Một số package (như <code>opendataloader-pdf</code>) tự cài khi cần lần đầu.</li>
+        <li>Lỗi <code>No module named cowork_local</code> → chạy <code>python __main__.py</code>.</li>
+      </ul>
+    </div>
+  </div>
+  <span class="slide-number">Slide 11 / 13</span>
+</section>
+
+<section class="slide slide--sparse" id="s12">
+  <h2>Kịch bản Demo</h2>
+  <div class="card-grid grid3">
+    <div class="card">
+      <div class="card-title">Demo 1 — File → AI → Báo cáo + OneDrive</div>
+      <ul>
+        <li>Mở Cowork Chat, đính kèm file báo cáo doanh thu (.xlsx/.pdf).</li>
+        <li>Gõ: phân tích số liệu, tạo báo cáo .xlsx có màu + viết .md lên OneDrive.</li>
+        <li>AI: đọc → phân tích → tạo Excel → upload text lên OneDrive → trả link.</li>
+      </ul>
+      <div class="footnote">Demo 1: OneDrive write chỉ hỗ trợ text files (.md, .txt). Demo 2: Teams webhook + Outlook desktop notification. Demo 3: Auto mode chạy toàn bộ workflow tự động.</div>
+    </div>
+    <div class="card">
+      <div class="card-title">Demo 2 — Schedule Task tự động</div>
+      <ul>
+        <li>Vào Schedule → tạo task, đặt lịch "8h sáng thứ 2 hàng tuần".</li>
+        <li>Nội dung: đọc file doanh thu, phân tích, tạo báo cáo .xlsx.</li>
+        <li>Bật <code>working_days_only</code> + <code>skip_holidays</code>.</li>
+        <li>Task tự chạy, kết quả lưu trong task artifacts.</li>
+      </ul>
+    </div>
+    <div class="card">
+      <div class="card-title">Demo 3 — Co4E Workflow phân tích dự án</div>
+      <ul>
+        <li>Step 1 (Research): đọc code, phân tích kiến trúc.</li>
+        <li>Step 2 (Implement - parallel): 2 sub-agent cùng chạy (unit test + docs).</li>
+        <li>Step 3 (Join + Review): tổng hợp, kiểm tra chất lượng.</li>
+        <li>Chạy Auto mode → AI tự thực hiện từng bước.</li>
+      </ul>
+    </div>
+  </div>
+  <span class="slide-number">Slide 12 / 13</span>
+</section>
+
+<section class="slide slide--very-sparse" id="s13">
+  <h2>Tóm tắt</h2>
+  <div class="card-grid grid3">
+    <div class="card">
+      <div class="card-title">Dễ dùng &amp; Đa năng</div>
+      <ul>
+        <li>Giao diện chat, không cần code.</li>
+        <li>Chat, workflow, schedule, code, Structure Graph, skills.</li>
+      </ul>
+    </div>
+    <div class="card">
+      <div class="card-title">Bảo mật &amp; Tiết kiệm</div>
+      <ul>
+        <li>3 lớp Agent Security + Sandbox risk-based.</li>
+        <li>Auto Model Routing, theo dõi chi phí.</li>
+      </ul>
+    </div>
+    <div class="card">
+      <div class="card-title">Tích hợp &amp; Quản trị</div>
+      <ul>
+        <li>MS365 (OneDrive/SharePoint), MCP, Jira.</li>
+        <li>RBAC, Dashboard, Audit Log, Groups.</li>
+      </ul>
+    </div>
+  </div>
+  <div class="highlight-box"><strong>Cowork-Local BamBOO</strong> — công cụ AI doanh nghiệp toàn diện: dễ dùng, bảo mật, tiết kiệm, tích hợp, quản trị, đa năng.</div>
+  <div class="accent-box" style="margin-top:1rem"><strong>30+ tính năng đã hoàn chỉnh</strong> — sẵn sàng triển khai trong doanh nghiệp ngay hôm nay.</div>
+  <span class="slide-number">Slide 13 / 13</span>
+</section></div>
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diff --git a/slides/cowork-local-bamboo/deck.pdf b/slides/cowork-local-bamboo/deck.pdf
new file mode 100644
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literal 0
HcmV?d00001

diff --git a/tests/pytest-cache-files-kggsphad/CACHEDIR.TAG b/tests/pytest-cache-files-kggsphad/CACHEDIR.TAG
new file mode 100644
index 0000000..e69de29
diff --git a/theme.py b/theme.py
index 9768e70..fd6160c 100644
--- a/theme.py
+++ b/theme.py
@@ -1,295 +1,907 @@
-"""Qt style sheets giving the app a modern, dark design-tool look (deep
-ocean-blue surfaces, large rounded corners, a deep-sea gradient accent, and
-colorful pill badges) inspired by contemporary dashboard UIs."""
-from __future__ import annotations
-
-# Brand accent — deep sea blue palette with teal-cyan gradients.
-ACCENT = "#0096C7"
-ACCENT_HOVER = "#48CAE4"
-ACCENT2 = "#0077B6"          # deeper ocean blue for gradients
-GRADIENT = f"qlineargradient(x1:0, y1:0, x2:1, y2:0, stop:0 {ACCENT2}, stop:1 {ACCENT})"
-GRADIENT_HOVER = f"qlineargradient(x1:0, y1:0, x2:1, y2:0, stop:0 #023E8A, stop:1 {ACCENT_HOVER})"
-
-_DARK = f"""
-* {{ font-family: "Segoe UI", "Helvetica Neue", "Arial", "Yu Gothic UI", "Meiryo", sans-serif; font-size: 13px; }}
-QMainWindow, QWidget {{ background: #0A1628; color: #E0F0FF; }}
-QMainWindow::separator {{ background: #0A1628; width: 4px; height: 4px; }}
-QStatusBar {{ background: #0A1628; color: #5C8DB8; border-top: 1px solid #132240; }}
-QSplitter::handle {{ background: #0A1628; }}
-/* Separate the nav rail (its own panel + divider) from the content area. */
-QWidget#navWrap {{ background: #0D1F35; border-right: 1px solid #17263f; }}
-QWidget#navWrap QTreeWidget, QWidget#navWrap QListWidget {{ background: transparent; border: none; }}
-QWidget#contentArea {{ background: #0A1628; }}
-/* Compact icons app-wide (they looked oversized on scaled displays). */
-QPushButton, QToolButton, QComboBox, QTabBar {{ qproperty-iconSize: 14px 14px; }}
-QTreeWidget#navrail {{ qproperty-iconSize: 16px 16px; }}
-
-/* Square the pane (tabs above stay rounded): a rounded pane lets its square
-   child pages poke past the corners — the "rectangle behind the rounded box". */
-QTabWidget::pane {{ background: #0D1F35; border: 1px solid #132240; border-radius: 0px; top: 2px; }}
-QTabBar {{ background: transparent; }}
-QTabBar::tab {{
-    background: #111D32; color: #5C8DB8; padding: 9px 22px; margin: 0 6px 8px 0;
-    border-radius: 10px; border: 1px solid #132240; font-weight: 500;
-}}
-QTabBar::tab:selected {{ background: {GRADIENT}; color: white; border: none; font-weight: 700; }}
-QTabBar::tab:hover:!selected {{ background: #172A45; color: #B0D4F1; }}
-/* Co4E flow "browser" tabs: sit FLUSH in their row (no floating bottom gap, so
-   the icon/label is vertically centred) and use the app's panel/accent surfaces
-   so the strip reads as part of the app. */
-QTabBar#flowTabs::tab {{ background: #0D1F35; color: #8FB2D4; border: 1px solid #17263f;
-    padding: 6px 10px; margin: 0 3px 0 0; min-height: 22px; border-radius: 8px; }}
-QTabBar#flowTabs::tab:selected {{ background: {GRADIENT}; color: white; border: 1px solid transparent; }}
-QTabBar#flowTabs::tab:hover:!selected {{ background: #172A45; color: #E0F0FF; }}
-/* The "new flow" (＋) button — styled as the last tab in the strip. */
-QPushButton#flowAddBtn {{ background: #0D1F35; color: #8FB2D4; border: 1px solid #17263f;
-    border-radius: 8px; padding: 6px 0; font-size: 15px; font-weight: bold; min-height: 22px; }}
-QPushButton#flowAddBtn:hover {{ background: #172A45; color: #E0F0FF; }}
-/* Co4E sidebar (Workflows/Agents/Skills): transparent icon tabs with a subtle
-   translucent selection + the normal text colour (matches the app's lists,
-   not a bright fill). */
-QTabBar#co4eSideTabs {{ qproperty-iconSize: 18px 18px; }}
-QTabBar#co4eSideTabs::tab {{ background: transparent; color: #8FB2D4; border: none;
-    border-radius: 6px; padding: 5px; margin: 0 6px 0 0; }}
-QTabBar#co4eSideTabs::tab:selected {{ background: rgba(0,150,199,0.28); color: #E0F0FF; }}
-QTabBar#co4eSideTabs::tab:hover:!selected {{ background: #172A45; color: #B0D4F1; }}
-/* Co4E canvas frame — match the app's other framed surfaces (not a faint hairline). */
-QGraphicsView#co4eCanvas {{ background: #0D1F35; border: 1px solid #1A2D4A; border-radius: 10px; }}
-
-QGroupBox {{
-    background: #0D1F35; border: 1px solid #132240; border-radius: 18px;
-    margin-top: 16px; padding: 14px 10px 10px 10px; font-weight: 700;
-}}
-QGroupBox::title {{
-    subcontrol-origin: margin; subcontrol-position: top left; left: 12px; top: 2px;
-    padding: 0 6px; color: #5C8DB8; letter-spacing: 0.5px;
-}}
-
-QPlainTextEdit, QTextEdit, QTextBrowser, QLineEdit, QTreeView, QListView, QTreeWidget, QListWidget {{
-    background: #111D32; color: #E0F0FF; border: 1px solid #1A2D4A; border-radius: 10px;
-    selection-background-color: {ACCENT}; selection-color: white;
-}}
-/* Scroll containers must NOT paint their own square panel behind rounded
-   children (that square is what shows as a "rectangle under the rounded box").
-   The corner where scrollbars meet is squared off too — keep it transparent. */
-QScrollArea {{ background: transparent; border: none; }}
-QAbstractScrollArea::corner {{ background: transparent; }}
-QPlainTextEdit:focus, QTextEdit:focus, QLineEdit:focus {{ border: 1px solid {ACCENT}; }}
-QTreeView::item, QListView::item {{ padding: 3px 2px; border-radius: 6px; }}
-QTreeView::item:hover, QListView::item:hover {{ background: #172A45; }}
-QTreeView::item:selected, QListView::item:selected {{ background: rgba(0,150,199,0.28); color: #E0F0FF; }}
-QHeaderView::section {{ background: #111D32; color: #5C8DB8; border: none; border-bottom: 1px solid #132240; padding: 6px; }}
-
-QPushButton {{
-    background: #132240; color: #E0F0FF; border: 1px solid #1A2D4A;
-    border-radius: 10px; padding: 8px 16px;
-}}
-QPushButton:hover {{ background: #1A3050; border-color: #234070; }}
-QPushButton:pressed {{ background: #111D32; }}
-QPushButton:disabled {{ color: #3A5A78; background: #0F1A28; border-color: #132240; }}
-QPushButton#primary {{ background: {GRADIENT}; color: white; border: none; font-weight: 700; padding: 8px 18px; }}
-QPushButton#primary:hover {{ background: {GRADIENT_HOVER}; }}
-QPushButton#primary:disabled {{ background: #1A2D4A; color: #3A5A78; }}
-QPushButton#danger {{ background: #E5484D; color: white; border: none; font-weight: 600; }}
-QPushButton#danger:hover {{ background: #EF6368; }}
-QPushButton#navMenuBtn {{
-    background: transparent; border: none; border-radius: 8px; padding: 5px 6px;
-    font-weight: 700; font-size: 11px; letter-spacing: 1px; color: #5C8DB8; text-align: left;
-}}
-QPushButton#navMenuBtn:hover {{ background: #132240; color: #E0F0FF; }}
-QPushButton#navMenuBtn:pressed {{ background: #111D32; }}
-
-QLabel#badge {{ background: #0A2A3A; color: #48CAE4; border-radius: 11px; padding: 2px 12px; font-weight: 600; }}
-QLabel#badgeSuccess {{ background: #0A2A20; color: #48D9A0; border-radius: 11px; padding: 2px 12px; font-weight: 600; }}
-QLabel#badgePurple {{ background: #1A1A3A; color: #9B8FF7; border-radius: 11px; padding: 2px 12px; font-weight: 600; }}
-QLabel#badgePink {{ background: #2A1A30; color: #D980C0; border-radius: 11px; padding: 2px 12px; font-weight: 600; }}
-QLabel#badgeWarn {{ background: #0A2A3A; color: #48CAE4; border-radius: 11px; padding: 2px 12px; font-weight: 600; }}
-QLabel#hint {{ color: #5C8DB8; }}
-QLabel#warning {{ color: #48CAE4; font-weight: 600; }}
-
-QComboBox {{ background: #111D32; border: 1px solid #1A2D4A; border-radius: 10px; padding: 6px 10px; }}
-QComboBox:hover {{ border-color: #234070; }}
-QComboBox::drop-down {{ border: none; width: 22px; }}
-QComboBox QAbstractItemView {{
-    background: #111D32; border: 1px solid #1A2D4A; border-radius: 10px;
-    selection-background-color: {ACCENT}; selection-color: white; outline: none;
-}}
-
-QScrollBar:vertical {{ background: transparent; width: 11px; margin: 2px; }}
-QScrollBar::handle:vertical {{ background: #1A2D4A; border-radius: 5px; min-height: 28px; }}
-QScrollBar::handle:vertical:hover {{ background: {ACCENT}; }}
-QScrollBar:horizontal {{ background: transparent; height: 11px; margin: 2px; }}
-QScrollBar::handle:horizontal {{ background: #1A2D4A; border-radius: 5px; min-width: 28px; }}
-QScrollBar::handle:horizontal:hover {{ background: {ACCENT}; }}
-QScrollBar::add-line, QScrollBar::sub-line {{ height: 0; width: 0; border: none; background: none; }}
-
-QCheckBox {{ spacing: 8px; }}
-QCheckBox::indicator, QRadioButton::indicator {{
-    width: 16px; height: 16px; background: #111D32; border: 1px solid #1A2D4A; border-radius: 5px;
-}}
-QRadioButton::indicator {{ border-radius: 9px; }}
-QCheckBox::indicator:hover, QRadioButton::indicator:hover {{ border-color: {ACCENT}; }}
-QCheckBox::indicator:checked, QRadioButton::indicator:checked {{
-    background: {GRADIENT}; border-color: {ACCENT};
-}}
-QCheckBox::indicator:disabled {{ border-color: #132240; background: #0F1A28; }}
-QCheckBox::indicator:checked:disabled, QRadioButton::indicator:checked:disabled {{
-    background: #1A3050; border-color: #234070;
-}}
-
-QMenu {{ background: #111D32; color: #E0F0FF; border: 1px solid #1A2D4A; border-radius: 10px; padding: 4px; }}
-QMenu::item {{ padding: 6px 16px; border-radius: 6px; }}
-QMenu::item:selected {{ background: {ACCENT}; color: white; }}
-
-QToolTip {{ background: #172A45; color: #E0F0FF; border: 1px solid #1A2D4A; border-radius: 6px; padding: 4px 8px; }}
-"""
-
-_LIGHT = f"""
-* {{ font-family: "Segoe UI", "Helvetica Neue", "Arial", "Yu Gothic UI", "Meiryo", sans-serif; font-size: 13px; }}
-QMainWindow, QWidget {{ background: #E8F4FD; color: #1A2332; }}
-QStatusBar {{ background: #E8F4FD; color: #5C8DB8; border-top: 1px solid #B8D4E8; }}
-/* Separate the nav rail (its own panel + divider) from the content area. */
-QWidget#navWrap {{ background: #EDF5FB; border-right: 1px solid #C4DBEC; }}
-QWidget#navWrap QTreeWidget, QWidget#navWrap QListWidget {{ background: transparent; border: none; }}
-QWidget#contentArea {{ background: #E8F4FD; }}
-/* Compact icons app-wide (they looked oversized on scaled displays). */
-QPushButton, QToolButton, QComboBox, QTabBar {{ qproperty-iconSize: 14px 14px; }}
-QTreeWidget#navrail {{ qproperty-iconSize: 16px 16px; }}
-
-QTabWidget::pane {{ background: #FFFFFF; border: 1px solid #B8D4E8; border-radius: 0px; top: 2px; }}
-QTabBar {{ background: transparent; }}
-QTabBar::tab {{
-    background: #D0E8F5; color: #3A6B8C; padding: 9px 22px; margin: 0 6px 8px 0;
-    border-radius: 10px; border: 1px solid #B8D4E8; font-weight: 500;
-}}
-QTabBar::tab:selected {{ background: {GRADIENT}; color: white; border: none; font-weight: 700; }}
-QTabBar::tab:hover:!selected {{ background: #B8D4E8; color: #1A2332; }}
-/* Co4E flow "browser" tabs — light-theme counterpart (see dark block). */
-QTabBar#flowTabs::tab {{ background: #EDF5FB; color: #3A6B8C; border: 1px solid #C4DBEC;
-    padding: 6px 10px; margin: 0 3px 0 0; min-height: 22px; border-radius: 8px; }}
-QTabBar#flowTabs::tab:selected {{ background: {GRADIENT}; color: white; border: 1px solid transparent; }}
-QTabBar#flowTabs::tab:hover:!selected {{ background: #D0E8F5; color: #1A2332; }}
-/* The "new flow" (＋) button (light) — styled as the last tab in the strip. */
-QPushButton#flowAddBtn {{ background: #EDF5FB; color: #3A6B8C; border: 1px solid #C4DBEC;
-    border-radius: 8px; padding: 6px 0; font-size: 15px; font-weight: bold; min-height: 22px; }}
-QPushButton#flowAddBtn:hover {{ background: #D0E8F5; color: #1A2332; }}
-/* Co4E sidebar (light) — transparent tabs, translucent selection, dark text. */
-QTabBar#co4eSideTabs {{ qproperty-iconSize: 18px 18px; }}
-QTabBar#co4eSideTabs::tab {{ background: transparent; color: #3A6B8C; border: none;
-    border-radius: 6px; padding: 5px; margin: 0 6px 0 0; }}
-QTabBar#co4eSideTabs::tab:selected {{ background: rgba(0,150,199,0.20); color: #1A2332; }}
-QTabBar#co4eSideTabs::tab:hover:!selected {{ background: #D0E8F5; color: #1A2332; }}
-/* Co4E canvas frame (light). */
-QGraphicsView#co4eCanvas {{ background: #FFFFFF; border: 1px solid #B8D4E8; border-radius: 10px; }}
-
-QGroupBox {{
-    background: #FFFFFF; border: 1px solid #B8D4E8; border-radius: 18px;
-    margin-top: 16px; padding: 14px 10px 10px 10px; font-weight: 700;
-}}
-QGroupBox::title {{
-    subcontrol-origin: margin; subcontrol-position: top left; left: 12px; top: 2px;
-    padding: 0 6px; color: #5C8DB8; letter-spacing: 0.5px;
-}}
-
-QPlainTextEdit, QTextEdit, QTextBrowser, QLineEdit, QTreeView, QListView, QTreeWidget, QListWidget {{
-    background: white; color: #1A2332; border: 1px solid #C0D8EC; border-radius: 10px;
-    selection-background-color: {ACCENT}; selection-color: white;
-}}
-QScrollArea {{ background: transparent; border: none; }}
-QAbstractScrollArea::corner {{ background: transparent; }}
-QPlainTextEdit:focus, QTextEdit:focus, QLineEdit:focus {{ border: 1px solid {ACCENT}; }}
-QTreeView::item, QListView::item {{ padding: 3px 2px; border-radius: 6px; }}
-QTreeView::item:hover, QListView::item:hover {{ background: #E0EFFA; }}
-QTreeView::item:selected, QListView::item:selected {{ background: rgba(0,150,199,0.18); color: #1A2332; }}
-QHeaderView::section {{ background: #E8F4FD; color: #5C8DB8; border: none; border-bottom: 1px solid #B8D4E8; padding: 6px; }}
-
-QPushButton {{
-    background: white; color: #1A2332; border: 1px solid #C0D8EC;
-    border-radius: 10px; padding: 8px 16px;
-}}
-QPushButton:hover {{ background: #E0EFFA; }}
-QPushButton:disabled {{ color: #8AA8C0; background: #F0F8FC; }}
-QPushButton#primary {{ background: {GRADIENT}; color: white; border: none; font-weight: 700; padding: 8px 18px; }}
-QPushButton#primary:hover {{ background: {GRADIENT_HOVER}; }}
-QPushButton#danger {{ background: #E5484D; color: white; border: none; font-weight: 600; }}
-QPushButton#danger:hover {{ background: #EF6368; }}
-QPushButton#navMenuBtn {{
-    background: transparent; border: none; border-radius: 8px; padding: 5px 6px;
-    font-weight: 700; font-size: 11px; letter-spacing: 1px; color: #5C8DB8; text-align: left;
-}}
-QPushButton#navMenuBtn:hover {{ background: #D0E8F5; color: #1A2332; }}
-QPushButton#navMenuBtn:pressed {{ background: #B8D4E8; }}
-
-QLabel#badge {{ background: #D0ECF8; color: #0077B6; border-radius: 11px; padding: 2px 12px; font-weight: 600; }}
-QLabel#badgeSuccess {{ background: #D0F5E8; color: #1B7A3D; border-radius: 11px; padding: 2px 12px; font-weight: 600; }}
-QLabel#badgePurple {{ background: #E8E0FF; color: #6238C9; border-radius: 11px; padding: 2px 12px; font-weight: 600; }}
-QLabel#badgePink {{ background: #F8E0F0; color: #B93A85; border-radius: 11px; padding: 2px 12px; font-weight: 600; }}
-QLabel#badgeWarn {{ background: #D0ECF8; color: #0077B6; border-radius: 11px; padding: 2px 12px; font-weight: 600; }}
-QLabel#hint {{ color: #5C8DB8; }}
-QLabel#warning {{ color: #0077B6; font-weight: 600; }}
-
-QComboBox {{ background: white; border: 1px solid #C0D8EC; border-radius: 10px; padding: 6px 10px; }}
-QComboBox::drop-down {{ border: none; width: 22px; }}
-QComboBox QAbstractItemView {{
-    background: white; border: 1px solid #C0D8EC; border-radius: 10px;
-    selection-background-color: {ACCENT}; selection-color: white; outline: none;
-}}
-
-QScrollBar:vertical {{ background: transparent; width: 11px; margin: 2px; }}
-QScrollBar::handle:vertical {{ background: #C0D8EC; border-radius: 5px; min-height: 28px; }}
-QScrollBar::handle:vertical:hover {{ background: {ACCENT}; }}
-QScrollBar:horizontal {{ background: transparent; height: 11px; margin: 2px; }}
-QScrollBar::handle:horizontal {{ background: #C0D8EC; border-radius: 5px; min-width: 28px; }}
-QScrollBar::handle:horizontal:hover {{ background: {ACCENT}; }}
-QScrollBar::add-line, QScrollBar::sub-line {{ height: 0; width: 0; border: none; background: none; }}
-
-QCheckBox {{ spacing: 8px; }}
-QCheckBox::indicator, QRadioButton::indicator {{
-    width: 16px; height: 16px; background: white; border: 1px solid #C0D8EC; border-radius: 5px;
-}}
-QRadioButton::indicator {{ border-radius: 9px; }}
-QCheckBox::indicator:hover, QRadioButton::indicator:hover {{ border-color: {ACCENT}; }}
-QCheckBox::indicator:checked, QRadioButton::indicator:checked {{
-    background: {GRADIENT}; border-color: {ACCENT};
-}}
-QCheckBox::indicator:disabled {{ border-color: #D0E8F5; background: #F0F8FC; }}
-QCheckBox::indicator:checked:disabled, QRadioButton::indicator:checked:disabled {{
-    background: #B8D4E8; border-color: #8AB8D8;
-}}
-
-QMenu {{ background: white; color: #1A2332; border: 1px solid #C0D8EC; border-radius: 10px; padding: 4px; }}
-QMenu::item {{ padding: 6px 16px; border-radius: 6px; }}
-QMenu::item:selected {{ background: {ACCENT}; color: white; }}
-
-QToolTip {{ background: #FFFFFF; color: #1A2332; border: 1px solid #C0D8EC; border-radius: 6px; padding: 4px 8px; }}
-"""
-
-# Node colors used by the Graph view (shared light/dark).
-NODE_COLORS = {
-    "user": "#3B82F6",
-    "assistant": ACCENT,
-    "tool": "#8B5CF6",
-    "result": "#22A06B",
-    "error": "#E5484D",
-}
-
-
-def resolve_theme(theme: str) -> str:
-    """Resolve 'system' to 'dark'/'light' based on the OS color scheme."""
-    if theme != "system":
-        return theme
-    try:
-        from PySide6.QtCore import Qt
-        from PySide6.QtWidgets import QApplication
-
-        app = QApplication.instance()
-        if app is not None:
-            scheme = app.styleHints().colorScheme()
-            return "light" if scheme == Qt.ColorScheme.Light else "dark"
-    except Exception:
-        pass
-    return "dark"
-
-
-def stylesheet(theme: str) -> str:
-    return _LIGHT if resolve_theme(theme) == "light" else _DARK
\ No newline at end of file
+"""The app's visual system: semantic design tokens + one style sheet template.
+
+This replaces the previous mechanism, which was two hand-written Qt style
+sheets (``_DARK`` / ``_LIGHT``) that duplicated each other and hard-coded ~105
+hex literals, with a single source of truth:
+
+    Palette (tokens)  ->  _TEMPLATE (one QSS)  ->  stylesheet(theme)
+
+Rules of the system
+-------------------
+* **Nothing outside this module names a colour.** Widgets that paint with
+  ``QPainter`` (charts, canvases, syntax highlighters) call :func:`palette` and
+  read a token. Widgets that style themselves declaratively should instead be
+  given an ``objectName`` and styled in ``_TEMPLATE`` below.
+* **Tokens are semantic, not literal.** ``danger``/``text_muted``/``code_string``
+  — never ``blue``/``grey2``. Adding a theme means adding a :class:`Palette`,
+  not editing a style sheet.
+* **No gradients, no glows.** The palette is Visual Studio Code's — "Dark
+  Modern" and "Light Modern", taken from the shipped theme JSON. Flat surfaces,
+  square-ish corners, one accent spent only on what the user acts on. Depth
+  comes from the surface ramp and hairline borders, not from colour. Note the
+  VS Code silhouette: the nav rail is *darker* than the content area, not
+  lighter.
+
+Contrast is held to WCAG AA (4.5:1) for body text and for text on filled
+buttons. That is why ``accent`` and ``accent_solid`` are separate tokens: on a
+dark background a blue readable *as text* is too light to carry white *as a
+fill*, so each role gets the tint that passes.
+
+Four VS Code values fall below AA and are nudged just far enough to clear it —
+dark line numbers (3.59:1), light faint text on the sidebar (4.28:1), light
+green (4.33:1) and light amber (3.12:1). Each carries a comment naming the
+original value, so the deviation is auditable rather than silent.
+"""
+from __future__ import annotations
+
+from dataclasses import dataclass, asdict
+from string import Template
+
+
+def _chevron_asset(direction: str, color: str) -> str:
+    """Render (and cache on disk) a small chevron PNG for QComboBox/QSpinBox
+    arrow subcontrols. QSS's ``image:`` property only accepts a resource or
+    file path, never a live QPixmap — and once ``::drop-down``/``::up-button``/
+    ``::down-button`` are styled at all, Qt stops drawing its own built-in
+    arrow, so without this the controls show no affordance whatsoever."""
+    import hashlib
+    import tempfile
+    from pathlib import Path
+
+    key = hashlib.md5(f"{direction}-{color}".encode()).hexdigest()[:10]
+    path = Path(tempfile.gettempdir()) / "cowork_local_theme" / f"chevron_{key}.png"
+    if not path.exists():
+        path.parent.mkdir(parents=True, exist_ok=True)
+        from PySide6.QtCore import QPointF, Qt
+        from PySide6.QtGui import QColor, QPainter, QPixmap
+
+        size = 12
+        pm = QPixmap(size, size)
+        pm.fill(Qt.transparent)
+        p = QPainter(pm)
+        p.setRenderHint(QPainter.Antialiasing)
+        pen = p.pen()
+        pen.setColor(QColor(color))
+        pen.setWidthF(1.6)
+        pen.setCapStyle(Qt.RoundCap)
+        pen.setJoinStyle(Qt.RoundJoin)
+        p.setPen(pen)
+        pts = ([QPointF(2.5, 4.5), QPointF(6, 8), QPointF(9.5, 4.5)] if direction == "down"
+               else [QPointF(2.5, 7.5), QPointF(6, 4), QPointF(9.5, 7.5)])
+        p.drawPolyline(pts)
+        p.end()
+        pm.save(str(path))
+    return path.as_posix()
+
+
+@dataclass(frozen=True)
+class Palette:
+    """Every colour and shape value the interface is allowed to use."""
+
+    name: str
+
+    # --- surfaces: a 4-step ramp from the window back to the frontmost layer.
+    bg: str               # window / canvas backdrop
+    surface: str          # panels, cards, group boxes (NOT the nav rail)
+    surface_raised: str   # inputs, lists, trees — things you type or pick in
+    overlay: str          # menus, tooltips, popups (floats above everything)
+    sunken: str           # logs, code, terminals — things you read into
+    hover: str            # hover wash on rows, tabs, ghost buttons
+    active: str           # pressed / held state
+
+    # The nav rail gets its own step rather than borrowing `surface`. It is a
+    # permanent region of the window, not a card floating on the page.
+    #
+    # Following VS Code, the rail is *darker* than the content area (dark) or a
+    # shade off white (light). The step is small on purpose — VS Code separates
+    # the rail with a border, not a big tonal jump — so `nav_border` is doing
+    # real work here and must stay visible.
+    nav_bg: str
+    nav_border: str
+    nav_hover: str
+    nav_selected: str
+
+    # --- lines
+    border: str           # default hairline
+    border_strong: str    # hairline that must survive next to a filled surface
+    focus_ring: str       # keyboard/typing focus
+
+    # --- text
+    text: str
+    text_muted: str       # secondary copy, captions, group-box titles
+    text_faint: str       # metadata, timestamps, placeholder
+    text_disabled: str
+    on_accent: str        # text drawn on top of a filled accent/status surface
+
+    # --- accent: `accent` tints text & icons, `accent_solid` fills buttons.
+    accent: str
+    accent_solid: str
+    accent_solid_hover: str
+    accent_solid_active: str
+    accent_soft: str      # translucent wash for selected rows (QSS only)
+    accent_soft_hover: str
+    accent_wash: str      # the same tint pre-blended to a solid, for Qt rich
+                          # text (bgcolor=, <table>) where alpha is ignored
+
+    # --- status
+    success: str
+    success_soft: str
+    warning: str
+    warning_soft: str
+    danger: str
+    danger_solid: str
+    danger_solid_hover: str
+    danger_soft: str
+    info: str
+    info_soft: str
+    purple: str
+    purple_soft: str
+    pink: str
+    pink_soft: str
+
+    # --- selection (text selection inside editors and inputs)
+    selection_bg: str
+    selection_fg: str
+
+    # --- scrollbars
+    scroll_handle: str
+    scroll_handle_hover: str
+
+    # --- code & terminal
+    code_bg: str
+    code_fg: str
+    code_gutter_bg: str
+    code_gutter_fg: str
+    code_selection: str
+    code_comment: str
+    code_keyword: str
+    code_type: str
+    code_func: str
+    code_attr: str
+    code_string: str
+    code_number: str
+    code_error: str
+
+    # --- diff / inline change badges
+    diff_add_bg: str
+    diff_add_fg: str
+    diff_del_bg: str
+    diff_del_fg: str
+
+    # --- charts
+    chart_grid: str
+    chart_label: str
+
+    # --- conversation & graph node roles
+    role_user: str
+    role_assistant: str
+    role_tool: str
+    role_result: str
+    role_error: str
+
+    # --- shape & type
+    radius_sm: int
+    radius: int
+    radius_lg: int
+    font_family: str
+    font_size: int
+    font_mono: str
+
+
+_FONT = '"Segoe UI Variable Text", "Segoe UI", "Inter", "Helvetica Neue", "Yu Gothic UI", "Meiryo", sans-serif'
+_MONO = '"Cascadia Code", "JetBrains Mono", "Consolas", "SF Mono", monospace'
+
+
+DARK = Palette(
+    name="dark",
+    # ---- VS Code "Dark Modern" ----------------------------------------------
+    # Values taken from the shipped theme JSON. Where VS Code's own choice falls
+    # below WCAG AA it is nudged just far enough to pass; each such value carries
+    # a note with VS Code's original and the measured ratio.
+    bg="#1F1F1F",                 # editor.background
+    surface="#252526",            # panel / card
+    surface_raised="#313131",     # input.background
+    overlay="#252526",            # menus, tooltips
+    sunken="#181818",             # logs, terminals — below the ramp
+    hover="#2A2D2E",              # list.hoverBackground
+    active="#37373D",             # list.inactiveSelectionBackground
+    # The sidebar is DARKER than the editor — that is the VS Code silhouette.
+    nav_bg="#181818",             # sideBar.background
+    nav_border="#2B2B2B",         # sideBar.border
+    nav_hover="#2A2D2E",
+    nav_selected="#04395E",       # list.activeSelectionBackground
+    border="#2B2B2B",             # panel.border
+    border_strong="#3C3C3C",      # input.border
+    focus_ring="#0078D4",         # focusBorder
+    text="#CCCCCC",               # editor.foreground
+    text_muted="#9D9D9D",         # descriptionForeground
+    text_faint="#9A9A9A",       # lifted: #8B8B8B was 3.82:1 on input surfaces
+    text_disabled="#5A5A5A",
+    on_accent="#FFFFFF",
+    accent="#4DAAFC",             # textLink.foreground — accent as TEXT
+    accent_solid="#0078D4",       # button.background — accent as FILL
+    accent_solid_hover="#026EC1",
+    accent_solid_active="#005FB8",
+    accent_soft="rgba(0,120,212,0.22)",
+    accent_soft_hover="rgba(0,120,212,0.32)",
+    accent_wash="#12283C",        # pre-blended: Qt rich text ignores alpha
+    success="#89D185",            # gitDecoration added
+    success_soft="rgba(137,209,133,0.16)",
+    warning="#CCA700",            # editorWarning
+    warning_soft="rgba(204,167,0,0.16)",
+    danger="#F76464",             # editorError #F14C4C lifted (4.29:1 on panels)
+    danger_solid="#C4302B",
+    danger_solid_hover="#D9433C",
+    danger_soft="rgba(241,76,76,0.16)",
+    info="#4DAAFC",
+    info_soft="rgba(77,170,252,0.16)",
+    purple="#C586C0",             # Dark+ syntax purple
+    purple_soft="rgba(197,134,192,0.16)",
+    pink="#D16D9E",
+    pink_soft="rgba(209,109,158,0.16)",
+    selection_bg="#264F78",       # editor.selectionBackground
+    selection_fg="#FFFFFF",
+    scroll_handle="#4E4E4E",      # scrollbarSlider
+    scroll_handle_hover="#5A5A5A",
+    code_bg="#1F1F1F",
+    code_fg="#CCCCCC",
+    code_gutter_bg="#1F1F1F",
+    # VS Code uses #6E7681 for line numbers — only 3.59:1. Lifted to clear AA.
+    code_gutter_fg="#858D97",
+    code_selection="#264F78",
+    code_comment="#6A9955",       # ---- Dark+ syntax, unchanged --------------
+    code_keyword="#569CD6",
+    code_type="#4EC9B0",
+    code_func="#DCDCAA",
+    code_attr="#9CDCFE",
+    code_string="#CE9178",
+    code_number="#B5CEA8",
+    code_error="#F44747",
+    diff_add_bg="#1B3A1B",        # diffEditor inserted, pre-blended
+    diff_add_fg="#89D185",
+    diff_del_bg="#4B1818",        # diffEditor removed, pre-blended
+    diff_del_fg="#F76464",
+    chart_grid="#2B2B2B",
+    chart_label="#9D9D9D",
+    role_user="#4DAAFC",
+    role_assistant="#4EC9B0",
+    role_tool="#C586C0",
+    role_result="#89D185",
+    role_error="#F14C4C",
+    radius_sm=3,                  # VS Code is squarer than the previous look
+    radius=4,
+    radius_lg=6,
+    font_family=_FONT,
+    font_size=13,
+    font_mono=_MONO,
+)
+
+
+LIGHT = Palette(
+    name="light",
+    # ---- VS Code "Light Modern" ---------------------------------------------
+    bg="#FFFFFF",                 # editor.background
+    surface="#F8F8F8",            # sideBar / panel
+    surface_raised="#FFFFFF",     # input.background
+    overlay="#FFFFFF",
+    sunken="#F3F3F3",
+    hover="#F2F2F2",              # list.hoverBackground
+    active="#E8E8E8",             # list.activeSelectionBackground
+    nav_bg="#F8F8F8",             # sideBar.background
+    nav_border="#E5E5E5",         # sideBar.border
+    nav_hover="#F2F2F2",
+    nav_selected="#E4E6F1",       # active row, tinted toward the accent
+    border="#E5E5E5",
+    border_strong="#CECECE",      # input.border
+    focus_ring="#005FB8",         # focusBorder
+    text="#3B3B3B",               # editor.foreground
+    text_muted="#616161",
+    # VS Code uses #767676 — 4.28:1 on the sidebar. Darkened to clear AA there.
+    text_faint="#6E6E6E",
+    text_disabled="#A0A0A0",
+    on_accent="#FFFFFF",
+    accent="#005FB8",             # textLink / button
+    accent_solid="#005FB8",
+    accent_solid_hover="#0258A8",
+    accent_solid_active="#004C97",
+    accent_soft="rgba(0,95,184,0.10)",
+    accent_soft_hover="rgba(0,95,184,0.16)",
+    accent_wash="#E6EEF8",
+    # VS Code green #388A34 is 4.33:1 and amber #BF8803 only 3.12:1 — both lifted.
+    success="#317A2D",
+    success_soft="#DFF3DE",
+    warning="#8F6500",            # VS Code #BF8803 = 3.12:1
+    warning_soft="#FBF0D0",
+    danger="#CD3131",             # editorError
+    danger_solid="#CD3131",
+    danger_solid_hover="#B82A2A",
+    danger_soft="#FDEFEF",        # lightened so #CD3131 clears AA on it
+    info="#005FB8",
+    info_soft="#DDEBF9",
+    purple="#6F42C1",
+    purple_soft="#EDE7FA",
+    pink="#B3247E",
+    pink_soft="#FAE3F0",
+    selection_bg="#ADD6FF",       # editor.selectionBackground
+    selection_fg="#000000",
+    scroll_handle="#C1C1C1",
+    scroll_handle_hover="#A6A6A6",
+    code_bg="#FFFFFF",
+    code_fg="#3B3B3B",
+    code_gutter_bg="#F8F8F8",
+    code_gutter_fg="#656C76",     # VS Code #6E7681 = 4.33:1 on the gutter
+    code_selection="#ADD6FF",
+    code_comment="#008000",       # ---- Light+ syntax ------------------------
+    code_keyword="#0000FF",
+    code_type="#267F99",
+    code_func="#795E26",
+    code_attr="#E50000",
+    code_string="#A31515",
+    code_number="#098658",
+    code_error="#CD3131",
+    diff_add_bg="#DBF4DB",
+    diff_add_fg="#1E6F1A",
+    diff_del_bg="#FBE3E3",
+    diff_del_fg="#B82A2A",
+    chart_grid="#E5E5E5",
+    chart_label="#616161",
+    role_user="#005FB8",
+    role_assistant="#267F99",
+    role_tool="#6F42C1",
+    role_result="#317A2D",
+    role_error="#CD3131",
+    radius_sm=3,
+    radius=4,
+    radius_lg=6,
+    font_family=_FONT,
+    font_size=13,
+    font_mono=_MONO,
+)
+
+
+_PALETTES = {"dark": DARK, "light": LIGHT}
+
+
+# ---------------------------------------------------------------------------
+# The one style sheet. `$token` placeholders are filled from the Palette above;
+# use `${token}px` where a unit follows the name.
+#
+# Read it as a cascade: reset -> shell -> surfaces -> controls -> chrome.
+# ---------------------------------------------------------------------------
+_TEMPLATE = Template("""
+/* ---- reset ------------------------------------------------------------ */
+* { font-family: $font_family; font-size: ${font_size}px; }
+QWidget { background: $bg; color: $text; }
+QMainWindow::separator { background: $border; width: 1px; height: 1px; }
+QSplitter::handle { background: $border; }
+QSplitter::handle:horizontal { width: 1px; }
+QSplitter::handle:vertical { height: 1px; }
+QSplitter::handle:hover { background: $border_strong; }
+QStatusBar { background: $bg; color: $text_faint; border-top: 1px solid $border; }
+QToolTip {
+    background: $overlay; color: $text; border: 1px solid $border_strong;
+    border-radius: ${radius}px; padding: 5px 9px;
+}
+
+/* Icons are drawn at text scale, not as decoration. */
+QPushButton, QToolButton, QComboBox, QTabBar { qproperty-iconSize: 15px 15px; }
+QTreeWidget#navrail { qproperty-iconSize: 22px 16px; }
+
+/* ---- shell ------------------------------------------------------------ */
+QWidget#topbar { background: $bg; border: none; border-bottom: 1px solid $border; }
+QLabel#brand { color: $text; font-size: 15px; font-weight: 700; background: transparent; }
+QWidget#navWrap { background: $nav_bg; border-right: 1px solid $nav_border; }
+QWidget#navWrap QTreeWidget, QWidget#navWrap QListWidget { background: transparent; border: none; }
+QWidget#contentArea { background: $bg; }
+
+/* Rail rows sit on nav_bg, so they need their own hover/selected steps — the
+   generic ones are tuned against `bg` and wash out here. The active item also
+   carries a 2px accent marker, so which section you are in survives even at a
+   glance or for anyone who cannot separate the two greys. */
+QWidget#navWrap QTreeWidget::item, QWidget#navWrap QListWidget::item {
+    padding: 6px 4px; border-radius: ${radius}px;
+}
+QWidget#navWrap QTreeWidget::item:hover, QWidget#navWrap QListWidget::item:hover {
+    background: $nav_hover;
+}
+QWidget#navWrap QTreeWidget::item:selected, QWidget#navWrap QListWidget::item:selected {
+    background: $nav_selected; color: $text;
+    border-left: 2px solid $accent; font-weight: 600;
+}
+/* Rows the project gate is holding shut: still listed, visibly not open. */
+QWidget#navWrap QTreeWidget::item:disabled { color: $text_faint; }
+/* The pinned bottom group (Dashboard, Monitoring) — one hairline separates it
+   from the list above so "occasional" reads apart from "everyday". */
+QTreeWidget#navrailBottom { border-top: 1px solid $nav_border; }
+QScrollArea#navScroll { background: transparent; border: none; }
+QScrollArea#navScroll > QWidget > QWidget { background: transparent; }
+/* Monitoring ▸ Overview reads as titled sections down one column, the way the
+   audit page draws it — a quiet caps heading with the content flat underneath,
+   not six bordered boxes competing with the cards inside them. */
+QGroupBox#monSection {
+    background: transparent; border: none; margin-top: 16px;
+    padding: 6px 0 0 0; font-weight: 700;
+}
+QGroupBox#monSection::title {
+    subcontrol-origin: margin; subcontrol-position: top left; left: 2px; top: 0;
+    padding: 0; color: $text_faint; font-size: 11px; letter-spacing: 0.5px;
+}
+/* Segmented control: two-to-four choices shown side by side (language, theme)
+   instead of a drop-list you must open to see what the options even are. */
+QPushButton#segItem {
+    background: $surface_raised; color: $text_muted; border: 1px solid $border;
+    padding: 4px 12px; margin: 0; border-radius: 0;
+}
+QPushButton#segItem:hover { background: $hover; color: $text; }
+QPushButton#segItem:checked {
+    background: $accent_solid; color: #FFFFFF; border-color: $accent_solid; font-weight: 600;
+}
+/* Table of contents down the left of the long dialogs (Settings, Task editor). */
+QListWidget#sectionIndex { background: $surface; border-right: 1px solid $border; }
+QListWidget#sectionIndex::item { padding: 7px 10px; border-radius: ${radius}px; }
+QListWidget#sectionIndex::item:hover { background: $hover; }
+QListWidget#sectionIndex::item:selected {
+    background: $nav_selected; color: $text; font-weight: 600;
+}
+/* The strip under the typing box: agent · routing · usage · folder. Reads as
+   status, not as a second toolbar, so the eye lands on the input first. */
+QWidget#composerStatus { border-top: 1px solid $border; background: transparent; }
+QWidget#composerStatus QLabel { color: $text_faint; font-size: 11px; }
+QWidget#composerStatus QPushButton, QWidget#composerStatus QComboBox {
+    background: transparent; border: none; color: $text_muted; font-size: 11px;
+    padding: 2px 6px; border-radius: ${radius_sm}px;
+}
+QWidget#composerStatus QPushButton:hover, QWidget#composerStatus QComboBox:hover {
+    background: $hover; color: $text;
+}
+/* Folder: the current path, written as the screen's title. */
+QLabel#folderTitle { color: $text; font-size: 14px; font-weight: 600; background: transparent; }
+/* A pair of view tabs inside a page header (Schedule, GraphRAG) — flatter and
+   quieter than the app's main tab bars, since they switch a view, not a page. */
+QTabBar#viewTabs::tab {
+    background: transparent; color: $text_muted; border: none;
+    padding: 4px 12px; margin: 0 2px; border-radius: ${radius}px;
+}
+QTabBar#viewTabs::tab:hover { background: $hover; color: $text; }
+QTabBar#viewTabs::tab:selected { background: $active; color: $text; font-weight: 600; }
+/* Co4E sidebar section headings — same quiet caps as the rail's RECENTS, so
+   "which list am I looking at" is answered on screen, not in a tooltip. */
+/* The action beside a Co4E section heading ("+ Mới", "Quản lý skill…"). The
+   wireframe writes these as small accent text; as full buttons they were the
+   loudest thing in the sidebar and each cost a row of height. */
+QPushButton#co4eSectionAction {
+    background: transparent; border: none; color: $accent;
+    font-size: 11px; font-weight: 600; padding: 1px 4px;
+    border-radius: ${radius_sm}px; qproperty-iconSize: 11px 11px;
+}
+QPushButton#co4eSectionAction:hover { background: $hover; color: $accent; }
+QPushButton#co4eSectionAction:pressed { background: $active; }
+QPushButton#co4eSectionHdr {
+    color: $text_faint; font-size: 11px; font-weight: 700; letter-spacing: 0.5px;
+    background: transparent; border: none; text-align: left; padding: 2px 0;
+}
+QPushButton#co4eSectionHdr:hover { color: $text; }
+/* Account row at the foot of the rail: who you are + the settings that follow
+   you (provider, language, theme). Separated by a hairline like the group above. */
+QWidget#navAccount { border-top: 1px solid $nav_border; }
+QWidget#navAccount QComboBox {
+    background: $surface_raised; border: 1px solid $nav_border; color: $text;
+    padding: 3px 6px; border-radius: ${radius}px;
+}
+/* RECENTS section label — quiet, so the thread titles under it read first. */
+QLabel#navSectionHdr {
+    color: $text_faint; font-size: 11px; font-weight: 700; letter-spacing: 0.5px;
+    padding: 8px 8px 2px 8px; background: transparent;
+}
+QTreeWidget#navRecents { border-top: 1px solid $nav_border; }
+
+/* Icon library cells. The audit page's note on this screen is that the cells
+   had no visible edge on hover or selection, so you could not tell what you
+   were about to pick — "cùng ngôn ngữ thẻ với Agent/Công cụ". */
+QListWidget#iconGrid { background: transparent; border: none; }
+QListWidget#iconGrid::item {
+    border: 1px solid transparent; border-radius: ${radius}px;
+    color: $text_muted; padding: 4px;
+}
+QListWidget#iconGrid::item:hover {
+    border: 1px solid $accent; background: $hover; color: $text;
+}
+QListWidget#iconGrid::item:selected {
+    border: 1px solid $accent; background: $accent_wash; color: $text;
+}
+/* Screen title beside its actions, same weight the other admin screens use. */
+QLabel#monTitle { font-size: 15px; font-weight: 700; color: $text; }
+/* Rail header — the primary action, so it is the one filled button up there. */
+QPushButton#navNewChatBtn {
+    background: $accent_solid; color: #FFFFFF; border: none; font-weight: 600;
+    padding: 7px 10px; border-radius: ${radius}px; text-align: left;
+}
+QPushButton#navNewChatBtn:hover { background: $accent_solid_hover; }
+QPushButton#navNewChatBtn:disabled { background: $border_strong; color: $text_faint; }
+QComboBox#navProjectPick {
+    background: $surface_raised; border: 1px solid $nav_border; color: $text;
+    padding: 4px 8px; border-radius: ${radius}px;
+}
+/* Stand-in for the picker while the rail is 54px wide: icon only, no arrow —
+   the arrow would eat a third of the width for no information. */
+QToolButton#navProjectPickMini {
+    background: $surface_raised; border: 1px solid $nav_border; border-radius: ${radius}px;
+    padding: 4px; qproperty-iconSize: 16px 16px;
+}
+QToolButton#navProjectPickMini:hover { background: $nav_hover; }
+QToolButton#navProjectPickMini:disabled { background: transparent; border-color: $border; }
+QToolButton#navProjectPickMini::menu-indicator { image: none; width: 0; }
+
+QPushButton#navSettingsBtn {
+    background: transparent; border: none; color: $text_muted;
+    /* Padding stays at 0: the row lays its own icon and label out, so that
+       the spacing does not change with the platform's button style. */
+    padding: 0; text-align: left; border-radius: ${radius}px;
+    /* No side margin: Settings reads as one more row under Dashboard/Giám sát,
+       so its icon has to start on their x. A 6px margin put it at 14 — near
+       enough the middle of the collapsed 54px rail to look centred. */
+    margin: 2px 0px 6px 0px;
+}
+QPushButton#navSettingsBtn:hover { background: $nav_hover; color: $text; }
+QPushButton#navSettingsBtn:pressed { background: $active; }
+
+
+/* ---- surfaces --------------------------------------------------------- */
+QGroupBox {
+    background: $surface; border: 1px solid $border; border-radius: ${radius_lg}px;
+    margin-top: 14px; padding: 16px 12px 12px 12px; font-weight: 600;
+}
+QGroupBox::title {
+    subcontrol-origin: margin; subcontrol-position: top left; left: 12px; top: 1px;
+    padding: 0 6px; color: $text_muted; font-size: 12px; font-weight: 600;
+}
+QFrame[frameShape="4"], QFrame[frameShape="5"] { background: $border; border: none; }
+QScrollArea { background: transparent; border: none; }
+QAbstractScrollArea::corner { background: transparent; }
+
+/* ---- tabs: an underline, not a pill. -------------------------------------
+   The old pill tabs read as buttons and fought the real buttons for
+   attention. A 2px rule under the active label is quieter and unambiguous. */
+QTabWidget::pane { background: $bg; border: none; border-top: 1px solid $border; top: -1px; }
+QTabBar { background: transparent; qproperty-drawBase: 0; }
+QTabBar::tab {
+    background: transparent; color: $text_muted; padding: 9px 14px; margin: 0 2px 0 0;
+    border: none; border-bottom: 2px solid transparent; font-weight: 500;
+}
+QTabBar::tab:selected { color: $text; border-bottom: 2px solid $accent; font-weight: 600; }
+QTabBar::tab:hover:!selected { color: $text; background: $hover; }
+
+/* Co4E flow strip — browser-style tabs, so these stay enclosed. */
+QTabBar#flowTabs::tab {
+    background: $surface; color: $text_muted; border: 1px solid $border;
+    border-radius: ${radius}px; padding: 6px 10px; margin: 0 3px 0 0; min-height: 22px;
+}
+QTabBar#flowTabs::tab:selected { background: $surface_raised; color: $text; border-color: $border_strong; }
+QTabBar#flowTabs::tab:hover:!selected { background: $hover; color: $text; }
+QPushButton#flowAddBtn {
+    background: transparent; color: $text_muted; border: 1px solid $border;
+    border-radius: ${radius}px; padding: 6px 0; font-size: 15px; min-height: 22px;
+}
+QPushButton#flowAddBtn:hover { background: $hover; color: $text; }
+
+/* Co4E icon sidebar — no chrome until it is the active one. */
+QTabBar#co4eSideTabs { qproperty-iconSize: 18px 18px; }
+QTabBar#co4eSideTabs::tab {
+    background: transparent; color: $text_muted; border: none;
+    border-radius: ${radius}px; padding: 6px; margin: 0 4px 0 0;
+}
+QTabBar#co4eSideTabs::tab:selected { background: $accent_soft; color: $text; }
+QTabBar#co4eSideTabs::tab:hover:!selected { background: $hover; color: $text; }
+QGraphicsView#co4eCanvas {
+    background: $surface; border: 1px solid $border; border-radius: ${radius_lg}px;
+}
+
+/* ---- text entry & item views ------------------------------------------ */
+QPlainTextEdit, QTextEdit, QTextBrowser, QLineEdit, QSpinBox, QDoubleSpinBox,
+QTreeView, QListView, QTableView, QTreeWidget, QListWidget, QTableWidget {
+    background: $surface_raised; color: $text; border: 1px solid $border;
+    border-radius: ${radius}px; selection-background-color: $selection_bg;
+    selection-color: $selection_fg; outline: 0;
+}
+QPlainTextEdit, QTextEdit, QLineEdit, QSpinBox, QDoubleSpinBox { padding: 6px 8px; }
+QPlainTextEdit:hover, QTextEdit:hover, QLineEdit:hover { border-color: $border_strong; }
+QPlainTextEdit:focus, QTextEdit:focus, QLineEdit:focus,
+QSpinBox:focus, QDoubleSpinBox:focus { border: 1px solid $focus_ring; }
+QLineEdit:disabled, QPlainTextEdit:disabled, QTextEdit:disabled {
+    background: $surface; color: $text_disabled;
+}
+/* Explicit up/down button geometry: once ANY spin-box subcontrol is styled,
+   Qt uses exactly this rect for both painting AND hit-testing, so the
+   clickable area can no longer drift from what's drawn (the previous
+   unstyled default arrows misaligned their own click region at 125%/150%
+   Windows display scaling — this pins both to the same rect instead). */
+QSpinBox::up-button, QDoubleSpinBox::up-button {
+    subcontrol-origin: border; subcontrol-position: top right;
+    width: 18px; height: 15px; border: none; background: transparent;
+}
+QSpinBox::down-button, QDoubleSpinBox::down-button {
+    subcontrol-origin: border; subcontrol-position: bottom right;
+    width: 18px; height: 15px; border: none; background: transparent;
+}
+QSpinBox::up-button:hover, QDoubleSpinBox::up-button:hover,
+QSpinBox::down-button:hover, QDoubleSpinBox::down-button:hover { background: $hover; }
+QSpinBox::up-button:pressed, QDoubleSpinBox::up-button:pressed,
+QSpinBox::down-button:pressed, QDoubleSpinBox::down-button:pressed { background: $active; }
+QSpinBox::up-arrow, QDoubleSpinBox::up-arrow { image: url($chevron_up); width: 9px; height: 9px; }
+QSpinBox::down-arrow, QDoubleSpinBox::down-arrow { image: url($chevron_down); width: 9px; height: 9px; }
+QSpinBox::up-arrow:disabled, QSpinBox::down-arrow:disabled,
+QDoubleSpinBox::up-arrow:disabled, QDoubleSpinBox::down-arrow:disabled { image: none; }
+
+QTreeView::item, QListView::item, QTableView::item { padding: 4px 3px; border-radius: ${radius_sm}px; }
+QTreeView::item:hover, QListView::item:hover { background: $hover; }
+QTreeView::item:selected, QListView::item:selected, QTableView::item:selected {
+    background: $accent_soft; color: $text;
+}
+/* The platform style draws its own dotted/solid focus rect on the current
+   cell on top of the selection tint above — visible as a stray light border
+   on a click. The selection tint already marks "current row"; drop the rect. */
+QTreeView::item:focus, QListView::item:focus, QTableView::item:focus { outline: none; border: none; }
+/* Kanban lanes (Schedule Task): seven lanes share the board width, so a card's
+   own inset competes with the other six for space the same way the inter-lane
+   gap did — trimmed to match. */
+QListWidget#kanbanLane::item { padding: 3px 2px; }
+QHeaderView::section {
+    background: $bg; color: $text_muted; border: none;
+    border-bottom: 1px solid $border; padding: 7px 6px; font-weight: 600;
+}
+
+/* ---- buttons -----------------------------------------------------------
+   Default is a quiet outline. Weight is reserved for #primary / #danger, so
+   at most one button per view should carry a fill. */
+QPushButton {
+    background: $surface_raised; color: $text; border: 1px solid $border_strong;
+    border-radius: ${radius}px; padding: 7px 14px; font-weight: 500;
+}
+QPushButton:hover { background: $hover; border-color: $border_strong; }
+QPushButton:pressed { background: $active; }
+QPushButton:disabled { color: $text_disabled; background: $surface; border-color: $border; }
+QPushButton:focus { border: 1px solid $focus_ring; }
+
+QPushButton#primary {
+    background: $accent_solid; color: $on_accent; border: 1px solid transparent; font-weight: 600;
+}
+QPushButton#primary:hover { background: $accent_solid_hover; }
+QPushButton#primary:pressed { background: $accent_solid_active; }
+QPushButton#primary:disabled { background: $surface; color: $text_disabled; border-color: $border; }
+
+QPushButton#danger {
+    background: $danger_solid; color: $on_accent; border: 1px solid transparent; font-weight: 600;
+}
+QPushButton#danger:hover { background: $danger_solid_hover; }
+QPushButton#danger:disabled { background: $surface; color: $text_disabled; border-color: $border; }
+
+/* Ghost buttons: nav section headers and icon-only chrome. */
+QPushButton#navMenuBtn {
+    background: transparent; border: none; border-radius: ${radius}px; padding: 5px 6px;
+    font-weight: 600; font-size: 11px; letter-spacing: 0.6px; color: $text_faint; text-align: left;
+}
+QPushButton#navMenuBtn:hover { background: $hover; color: $text; }
+QPushButton#navMenuBtn:pressed { background: $active; }
+
+QToolButton {
+    background: transparent; color: $text_muted; border: none;
+    border-radius: ${radius}px; padding: 5px;
+}
+QToolButton:hover { background: $hover; color: $text; }
+QToolButton:pressed { background: $active; }
+QToolButton::menu-indicator { image: none; }
+
+/* ---- pickers ----------------------------------------------------------- */
+QComboBox {
+    background: $surface_raised; color: $text; border: 1px solid $border_strong;
+    border-radius: ${radius}px; padding: 6px 10px;
+}
+QComboBox:hover { background: $hover; }
+QComboBox:focus { border-color: $focus_ring; }
+QComboBox:disabled { color: $text_disabled; background: $surface; border-color: $border; }
+QComboBox::drop-down { border: none; width: 20px; }
+QComboBox::down-arrow { image: url($chevron_down); width: 10px; height: 10px; }
+QComboBox::down-arrow:disabled { image: none; }
+QComboBox QAbstractItemView {
+    background: $overlay; color: $text; border: 1px solid $border_strong;
+    border-radius: ${radius}px; padding: 4px; outline: none;
+    selection-background-color: $accent_soft; selection-color: $text;
+}
+
+QMenu { background: $overlay; color: $text; border: 1px solid $border_strong;
+        border-radius: ${radius}px; padding: 4px; }
+QMenu::item { padding: 6px 14px; border-radius: ${radius_sm}px; }
+QMenu::item:selected { background: $accent_soft; color: $text; }
+QMenu::item:disabled { color: $text_disabled; }
+QMenu::separator { height: 1px; background: $border; margin: 4px 6px; }
+
+QMenuBar { background: $bg; color: $text; border-bottom: 1px solid $border; }
+QMenuBar::item { padding: 5px 10px; border-radius: ${radius_sm}px; background: transparent; }
+QMenuBar::item:selected { background: $hover; }
+
+/* ---- toggles ----------------------------------------------------------- */
+QCheckBox, QRadioButton { spacing: 8px; background: transparent; }
+QCheckBox::indicator, QRadioButton::indicator {
+    width: 16px; height: 16px; background: $surface_raised;
+    border: 1px solid $border_strong; border-radius: ${radius_sm}px;
+}
+QRadioButton::indicator { border-radius: 9px; }
+QCheckBox::indicator:hover, QRadioButton::indicator:hover { border-color: $accent; }
+QCheckBox::indicator:checked, QRadioButton::indicator:checked {
+    background: $accent_solid; border-color: $accent_solid;
+}
+QCheckBox::indicator:disabled, QRadioButton::indicator:disabled {
+    background: $surface; border-color: $border;
+}
+QCheckBox::indicator:checked:disabled, QRadioButton::indicator:checked:disabled {
+    background: $border_strong; border-color: $border_strong;
+}
+
+QSlider::groove:horizontal { height: 4px; background: $border; border-radius: 2px; }
+QSlider::sub-page:horizontal { background: $accent_solid; border-radius: 2px; }
+QSlider::handle:horizontal {
+    width: 14px; height: 14px; margin: -6px 0; border-radius: 7px;
+    background: $surface_raised; border: 1px solid $border_strong;
+}
+QSlider::handle:horizontal:hover { border-color: $accent; }
+
+QProgressBar {
+    background: $surface; border: none; border-radius: 3px;
+    height: 6px; text-align: center; color: $text_muted;
+}
+QProgressBar::chunk { background: $accent_solid; border-radius: 3px; }
+
+/* ---- scrollbars: overlay-thin, no arrows. ------------------------------ */
+QScrollBar:vertical { background: transparent; width: 10px; margin: 2px; }
+QScrollBar::handle:vertical { background: $scroll_handle; border-radius: 4px; min-height: 28px; }
+QScrollBar::handle:vertical:hover { background: $scroll_handle_hover; }
+QScrollBar:horizontal { background: transparent; height: 10px; margin: 2px; }
+QScrollBar::handle:horizontal { background: $scroll_handle; border-radius: 4px; min-width: 28px; }
+QScrollBar::handle:horizontal:hover { background: $scroll_handle_hover; }
+QScrollBar::add-line, QScrollBar::sub-line { height: 0; width: 0; border: none; background: none; }
+QScrollBar::add-page, QScrollBar::sub-page { background: none; }
+
+/* ---- badges & inline text tones ---------------------------------------
+   One shape, seven tones. Pick by meaning: badgeSuccess for a finished run,
+   badgeDanger for a failed one — not by which colour looks nice. badgeNeutral
+   is the odd one out: it deliberately uses OPAQUE tokens ($active/$text_muted,
+   not an rgba() *_soft one) since it renders inside table cells that can sit
+   over a selection tint — an rgba() background there would composite
+   differently selected vs not (see Monitoring ▸ Sự kiện bảo mật's Hành động
+   pill, which hit exactly this). */
+QLabel#badge, QLabel#badgeSuccess, QLabel#badgeWarn, QLabel#badgeDanger,
+QLabel#badgePurple, QLabel#badgePink, QLabel#badgeNeutral {
+    border-radius: ${radius_sm}px; padding: 2px 8px; font-size: 12px; font-weight: 600;
+}
+QLabel#badge        { background: $info_soft;    color: $info; }
+QLabel#badgeSuccess { background: $success_soft; color: $success; }
+QLabel#badgeWarn    { background: $warning_soft; color: $warning; }
+QLabel#badgeDanger  { background: $danger_soft;  color: $danger; }
+QLabel#badgePurple  { background: $purple_soft;  color: $purple; }
+QLabel#badgePink    { background: $pink_soft;    color: $pink; }
+QLabel#badgeNeutral { background: $active;       color: $text_muted; }
+
+/* ---- event-detail panel (Monitoring ▸ Sự kiện bảo mật) -----------------
+   A neutral, low-emphasis tag — the "Loại" chip: a category label with no
+   colour coding of its own (colour is reserved for the Trạng thái badge
+   beside it). */
+QLabel#neutralTag {
+    background: $surface_raised; border: 1px solid $border; border-radius: ${radius_sm}px;
+    padding: 2px 8px; font-size: 12px;
+}
+/* A short identifier shown as a bordered monospace chip (machine name,
+   event id). */
+QLabel#monoChip {
+    font-family: "Cascadia Code", Consolas, monospace; background: $surface_raised;
+    border: 1px solid $border; border-radius: ${radius_sm}px; padding: 1px 6px; font-size: 12px;
+}
+/* Section caption inside the panel — the same quiet caps heading as
+   Monitoring ▸ Overview's group titles (monSection::title above), with a
+   hairline under it since the panel has no group-box border of its own. */
+QLabel#detailSectionHdr {
+    color: $text_faint; font-size: 11px; font-weight: 700; letter-spacing: 0.5px;
+    padding-bottom: 4px; margin-top: 6px; border-bottom: 1px solid $border;
+}
+/* The blocked-detail text renders as a fixed dark "terminal" block — the
+   same look in both themes, like a code snippet, so it reads consistently
+   against whichever tint the row around it happens to carry. */
+QWidget#detailCodeBlock { background: #1B1A19; border-radius: ${radius}px; }
+QLabel#detailCodeText {
+    color: #CCFF00; font-family: "Cascadia Code", Consolas, monospace; font-size: 12px;
+}
+QPushButton#detailCopyBtn {
+    background: rgba(255,255,255,0.15); color: #FFFFFF; border: none;
+    border-radius: ${radius_sm}px; padding: 3px 10px; font-size: 11px;
+}
+QPushButton#detailCopyBtn:hover { background: rgba(255,255,255,0.25); }
+
+QLabel { background: transparent; }
+QLabel#hint { color: $text_muted; }
+QLabel#faint { color: $text_faint; }
+QLabel#warning { color: $warning; font-weight: 600; }
+QLabel#error { color: $danger; font-weight: 600; }
+QLabel#success { color: $success; font-weight: 600; }
+QLabel#sectionTitle { color: $text; font-size: 15px; font-weight: 600; }
+
+/* ---- code, terminals & logs -------------------------------------------
+   These read as "sunken" surfaces: the eye goes in, not across. */
+QPlainTextEdit#codeEditor, QPlainTextEdit#termOutput, QPlainTextEdit#logView {
+    background: $code_bg; color: $code_fg; border: none;
+    font-family: $font_mono; selection-background-color: $code_selection;
+}
+QLineEdit#termInput {
+    background: $code_bg; color: $code_fg; border: none; border-top: 1px solid $border;
+    font-family: $font_mono; border-radius: 0; padding: 7px 10px;
+}
+QLineEdit#termInput:focus { border-top-color: $accent; }
+
+/* The help-agent dock styles itself from these same tokens — it is a floating
+   overlay that re-applies on every theme switch. See ui/help_agent_widget.py. */
+""")
+
+
+def resolve_theme(theme: str) -> str:
+    """Resolve ``'system'`` to ``'dark'``/``'light'`` from the OS colour scheme."""
+    if theme in _PALETTES:
+        return theme
+    try:
+        from PySide6.QtCore import Qt
+        from PySide6.QtWidgets import QApplication
+
+        app = QApplication.instance()
+        if app is not None:
+            scheme = app.styleHints().colorScheme()
+            return "light" if scheme == Qt.ColorScheme.Light else "dark"
+    except Exception:
+        pass
+    return "dark"
+
+
+def palette(theme: str) -> Palette:
+    """The token set for ``theme``. Painting code reads its colours from here."""
+    return _PALETTES[resolve_theme(theme)]
+
+
+# The theme the running app is currently showing. Painting code (paintEvent,
+# QSyntaxHighlighter, canvas items) reads it via current_palette() instead of
+# re-reading config.json — that used to cost a file open per repaint.
+_active_theme = "dark"
+
+
+def set_active_theme(theme: str) -> str:
+    """Record the theme the app just applied. Call this next to every
+    ``QApplication.setStyleSheet(stylesheet(...))``. Returns the resolved name."""
+    global _active_theme
+    _active_theme = resolve_theme(theme)
+    return _active_theme
+
+
+def current_theme() -> str:
+    """The resolved theme ('dark'/'light') the app is showing right now."""
+    return _active_theme
+
+
+def current_palette() -> Palette:
+    """Tokens for the theme the app is showing right now."""
+    return _PALETTES[_active_theme]
+
+
+def stylesheet(theme: str) -> str:
+    """The application-wide Qt style sheet for ``theme``."""
+    p = palette(theme)
+    values = asdict(p)
+    values["chevron_down"] = _chevron_asset("down", p.text_muted)
+    values["chevron_up"] = _chevron_asset("up", p.text_muted)
+    return _TEMPLATE.substitute(values)
+
+
+def role_colors(theme: str) -> dict[str, str]:
+    """Conversation/graph node colours keyed by role."""
+    p = palette(theme)
+    return {
+        "user": p.role_user,
+        "assistant": p.role_assistant,
+        "tool": p.role_tool,
+        "result": p.role_result,
+        "error": p.role_error,
+    }
diff --git a/tools/audit_gating.py b/tools/audit_gating.py
new file mode 100644
index 0000000..e550b10
--- /dev/null
+++ b/tools/audit_gating.py
@@ -0,0 +1,102 @@
+"""List every show/hide/enable/disable rule, baseline vs now.
+
+The redesign was allowed to change the flow. It was NOT allowed to change what
+is hidden or greyed out — those rules encode real preconditions, and dropping
+one turns a guarded action into a broken one.
+
+Reports rules that disappeared, appeared, or changed target between the
+pre-redesign commit and HEAD.
+"""
+from __future__ import annotations
+
+import re
+import subprocess
+import sys
+
+sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+
+BASE = "291a611"
+CALL = re.compile(
+    r"(?P<target>[\w\.\[\]\(\)_]*?)\.?(?P<verb>setVisible|setHidden|setEnabled|"
+    r"setDisabled|setTabVisible|setTabEnabled|hide|show)\s*\(")
+
+
+def files():
+    out = subprocess.run(["git", "diff", "--name-only", f"{BASE}..HEAD", "--", "*.py"],
+                         capture_output=True, text=True, encoding="utf-8").stdout
+    return [f for f in out.split() if f.endswith(".py") and not f.startswith("tools/")]
+
+
+def _arg(s, start):
+    """Text inside the call's parentheses — the CONDITION, which matters as
+    much as the call being there at all."""
+    depth, out = 0, []
+    for ch in s[start:]:
+        if ch == "(":
+            depth += 1
+            if depth == 1:
+                continue
+        elif ch == ")":
+            depth -= 1
+            if depth == 0:
+                break
+        if depth >= 1:
+            out.append(ch)
+    return "".join(out).strip()
+
+
+def rules(rev, path):
+    """{(target, verb): set(conditions)} for one revision of one file."""
+    src = subprocess.run(["git", "show", f"{rev}:{path}"],
+                         capture_output=True, text=True, encoding="utf-8",
+                         errors="replace").stdout or ""
+    found = {}
+    for n, line in enumerate(src.splitlines(), 1):
+        s = line.strip()
+        if s.startswith("#") or s.startswith('"'):
+            continue
+        for m in CALL.finditer(s):
+            target, verb = m.group("target"), m.group("verb")
+            if not target or (verb in ("hide", "show") and not target):
+                continue
+            cond = _arg(s, m.end() - 1) or "-"
+            found.setdefault((target, verb), {}).setdefault(cond, n)
+    return found
+
+
+def main() -> int:
+    gone, added, changed = [], [], []
+    for path in files():
+        old, new = rules(BASE, path), rules("HEAD", path)
+        for key in sorted(set(old) - set(new)):
+            gone.append((path, key, old[key]))
+        for key in sorted(set(new) - set(old)):
+            added.append((path, key, new[key]))
+        for key in sorted(set(new) & set(old)):
+            if set(old[key]) != set(new[key]):
+                changed.append((path, key, old[key], new[key]))
+
+    print(f"=== A. LUAT BI BO ({len(gone)}) ===")
+    for path, (target, verb), conds in gone:
+        for cond, line in conds.items():
+            print(f"  {path}:{line:<5} {target}.{verb}({cond})")
+
+    print()
+    print(f"=== B. DIEU KIEN DOI ({len(changed)}) ===")
+    for path, (target, verb), oldc, newc in changed:
+        print(f"  {path}  {target}.{verb}()")
+        for c in sorted(set(oldc) - set(newc)):
+            print(f"      cu  : ({c})")
+        for c in sorted(set(newc) - set(oldc)):
+            print(f"      moi : ({c})   dong {newc[c]}")
+
+    print()
+    print(f"=== C. LUAT MOI THEM ({len(added)}) ===")
+    for path, (target, verb), conds in added:
+        for cond, line in conds.items():
+            print(f"  {path}:{line:<5} {target}.{verb}({cond})")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tools/audit_handwritten.py b/tools/audit_handwritten.py
new file mode 100644
index 0000000..999bc2c
--- /dev/null
+++ b/tools/audit_handwritten.py
@@ -0,0 +1,23 @@
+"""Hand-written audit sections, extracted from 10-18.ui-audit.html.
+
+GENERATED by tools/extract_handwritten.py — do not edit by hand; edit the
+source HTML and re-run it. build_audit_page.py substitutes {{SHOT}} and
+{{CONTROLS}} so those stay generated.
+"""
+
+SECTIONS = {
+    'monitoring-sự-kiện-bảo-mật': '<div class="bd">\n<p class="lead">Nhật ký lần agent chạm thứ nhạy cảm: lệnh bị chặn, truy cập ngoài sandbox.</p>\n<div class="cap">Hiện tại</div>{{SHOT}}\n<p class="rg"><b>Trên</b>: 4 thẻ KPI · <b>Giữa</b>: ô tìm + nút ✨AI, lọc Agent/Hành động/Thời gian · <b>Dưới</b>: bảng cột Hành động dạng badge màu (thay cho ✕/✓ luôn giống nhau) + phân trang, nhấp dòng mở panel chi tiết bên phải.</p>\n<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="ttl">Monitoring</div><div class="r tb"><div class="tab">Tổng quan</div><div class="tab on">Bảo mật</div><div class="tab">MCP</div><div class="tab">Hành động</div><div class="tab">Agent</div><div class="tab">Agents Admin</div><div class="tab">Công cụ</div><div class="tab">Icon</div></div><div class="c grow"><div class="r tb"><div class="ttl">Sự kiện bảo mật</div><div class="grow"></div><div class="btn">⭳ Xuất CSV</div><div class="btn pri">⟳ Làm mới</div></div><div class="r"><div class="kpi2"><div class="ic blue">▦</div><div><b>1.247</b><span class="s">Tổng sự kiện · +12.3%</span></div></div><div class="kpi2"><div class="ic grn">◔</div><div><b>84</b><span class="s">Hôm nay · -8.1%</span></div></div><div class="kpi2"><div class="ic red">⛔</div><div><b>23</b><span class="s">Chặn lệnh · +3 mới</span></div></div><div class="kpi2"><div class="ic pur">🛡</div><div><b>156</b><span class="s">Chặn prompt · 12.5%</span></div></div></div><div class="r tb"><div class="srchwrap grow"><input class="inp" id="s10q" placeholder="🔍 Gõ câu hỏi hoặc từ khoá…"><span class="pill teal aibtn" id="s10ai">✨ AI</span></div><select class="btn" id="s10agent"><option value="">Agent</option><option>Security Agent</option><option>Cowork Agent</option><option value="schedule">schedule</option><option value="graphrag">graphrag</option><option>Code Agent</option></select><select class="btn" id="s10action"><option value="">Hành động</option><option value="dangerous_command">Lệnh nguy hiểm</option><option value="path_outside_sandbox">Path ngoài sandbox</option><option value="network_blocked">Mạng bị chặn</option><option value="secret_in_output">Tiết lộ bí mật</option></select><select class="btn" id="s10date"><option value="">Thời gian</option><option value="today">Hôm nay</option><option value="week">Tuần này</option><option value="month">Tháng này</option></select><div class="btn" id="s10clear">✕ Xoá lọc</div></div><div class="tblwrap grow"><table class="evtbl"><thead><tr><th>☐</th><th>Thời gian</th><th>Agent</th><th>Tài khoản</th><th>Máy</th><th>Hành động</th><th>Chi tiết chặn</th></tr></thead><tbody id="s10tb"></tbody></table></div><div class="r tb"><div class="s" id="s10count">Hiển thị 24 / 24 sự kiện</div><div class="grow"></div><div class="btn">‹</div><div class="btn pri">1</div><div class="btn">›</div></div></div></div><div class="c pane overlay hide" id="s10detail"></div><div class="dock fab" title="AI Assistant — trợ lý cách dùng app"><span class="spark">✨</span></div></div>\n<script>\n(function(){\n  var events=[\n    {time:\'2026-08-11T17:29:00\',agent:\'Security Agent\',account:\'local\',machine:\'DESKTOP-DEMO\',action:\'dangerous_command\',actionLabel:\'Lệnh nguy hiểm\',detail:\'Chặn lệnh: rm -rf / --no-preserve-root\'},\n    {time:\'2026-08-11T12:01:00\',agent:\'Cowork Agent\',account:\'local\',machine:\'DESKTOP-DEMO\',action:\'dangerous_command\',actionLabel:\'Lệnh nguy hiểm\',detail:\'Chặn lệnh: rm -rf / --no-preserve-root\'},\n    {time:\'2026-08-11T11:01:00\',agent:\'Security Agent\',account:\'local\',machine:\'DESKTOP-DEMO\',action:\'dangerous_command\',actionLabel:\'Lệnh nguy hiểm\',detail:\'Chặn lệnh: rm -rf / --no-preserve-root\'},\n    {time:\'2026-08-11T06:05:00\',agent:\'schedule\',account:\'local\',machine:\'DESKTOP-DEMO\',action:\'dangerous_command\',actionLabel:\'Lệnh nguy hiểm\',detail:\'Chặn lệnh: rm -rf / --no-preserve-root\'},\n    {time:\'2026-08-10T19:42:00\',agent:\'Security Agent\',account:\'local\',machine:\'DESKTOP-DEMO\',action:\'path_outside_sandbox\',actionLabel:\'Path ngoài sandbox\',detail:\'Chặn đọc C:\\\\Users\\\\NamPDT\\\\Documents\\\\personal.xlsx\'},\n    {time:\'2026-08-10T17:18:00\',agent:\'graphrag\',account:\'local\',machine:\'DESKTOP-DEMO\',action:\'dangerous_command\',actionLabel:\'Lệnh nguy hiểm\',detail:\'Chặn lệnh: rm -rf / --no-preserve-root\'},\n    {time:\'2026-08-10T11:53:00\',agent:\'Security Agent\',account:\'local\',machine:\'DESKTOP-DEMO\',action:\'path_outside_sandbox\',actionLabel:\'Path ngoài sandbox\',detail:\'Chặn đọc C:\\\\Users\\\\NamPDT\\\\Documents\\\\personal.xlsx\'},\n    {time:\'2026-08-10T15:47:00\',agent:\'graphrag\',account:\'local\',machine:\'DESKTOP-DEMO\',action:\'network_blocked\',actionLabel:\'Mạng bị chặn\',detail:\'Chặn kết nối ra 203.0.113.44:8080\'},\n    {time:\'2026-08-10T08:00:00\',agent:\'Security Agent\',account:\'local\',machine:\'DESKTOP-DEMO\',action:\'dangerous_command\',actionLabel:\'Lệnh nguy hiểm\',detail:\'Chặn lệnh: rm -rf / --no-preserve-root\'},\n    {time:\'2026-08-09T19:37:00\',agent:\'graphrag\',account:\'local\',machine:\'DESKTOP-DEMO\',action:\'network_blocked\',actionLabel:\'Mạng bị chặn\',detail:\'Chặn kết nối ra 203.0.113.44:8080\'},\n    {time:\'2026-08-09T14:53:00\',agent:\'Code Agent\',account:\'local\',machine:\'DESKTOP-DEMO\',action:\'secret_in_output\',actionLabel:\'Tiết lộ bí mật\',detail:\'Phát hiện chuỗi giống API key trong đầu ra, đã che\'},\n    {time:\'2026-08-09T13:00:00\',agent:\'schedule\',account:\'local\',machine:\'DESKTOP-DEMO\',action:\'path_outside_sandbox\',actionLabel:\'Path ngoài sandbox\',detail:\'Chặn đọc C:\\\\Users\\\\NamPDT\\\\Documents\\\\personal.xlsx\'},\n    {time:\'2026-08-08T14:41:00\',agent:\'graphrag\',account:\'local\',machine:\'DESKTOP-DEMO\',action:\'secret_in_output\',actionLabel:\'Tiết lộ bí mật\',detail:\'Phát hiện chuỗi giống API key trong đầu ra, đã che\'},\n    {time:\'2026-08-08T11:38:00\',agent:\'schedule\',account:\'local\',machine:\'DESKTOP-DEMO\',action:\'path_outside_sandbox\',actionLabel:\'Path ngoài sandbox\',detail:\'Chặn đọc C:\\\\Users\\\\NamPDT\\\\Documents\\\\personal.xlsx\'},\n    {time:\'2026-08-07T12:50:00\',agent:\'Code Agent\',account:\'local\',machine:\'DESKTOP-DEMO\',action:\'network_blocked\',actionLabel:\'Mạng bị chặn\',detail:\'Chặn kết nối ra 203.0.113.44:8080\'},\n    {time:\'2026-08-07T08:45:00\',agent:\'graphrag\',account:\'local\',machine:\'DESKTOP-DEMO\',action:\'secret_in_output\',actionLabel:\'Tiết lộ bí mật\',detail:\'Phát hiện chuỗi giống API key trong đầu ra, đã che\'},\n    {time:\'2026-08-06T10:07:00\',agent:\'Cowork Agent\',account:\'local\',machine:\'DESKTOP-DEMO\',action:\'path_outside_sandbox\',actionLabel:\'Path ngoài sandbox\',detail:\'Chặn đọc C:\\\\Users\\\\NamPDT\\\\Documents\\\\personal.xlsx\'},\n    {time:\'2026-08-06T11:15:00\',agent:\'Security Agent\',account:\'local\',machine:\'DESKTOP-DEMO\',action:\'secret_in_output\',actionLabel:\'Tiết lộ bí mật\',detail:\'Phát hiện chuỗi giống API key trong đầu ra, đã che\'},\n    {time:\'2026-08-05T11:00:00\',agent:\'Security Agent\',account:\'local\',machine:\'DESKTOP-DEMO\',action:\'network_blocked\',actionLabel:\'Mạng bị chặn\',detail:\'Chặn kết nối ra 203.0.113.44:8080\'},\n    {time:\'2026-08-05T17:16:00\',agent:\'Security Agent\',account:\'local\',machine:\'DESKTOP-DEMO\',action:\'path_outside_sandbox\',actionLabel:\'Path ngoài sandbox\',detail:\'Chặn đọc C:\\\\Users\\\\NamPDT\\\\Documents\\\\personal.xlsx\'},\n    {time:\'2026-08-05T09:07:00\',agent:\'Cowork Agent\',account:\'local\',machine:\'DESKTOP-DEMO\',action:\'dangerous_command\',actionLabel:\'Lệnh nguy hiểm\',detail:\'Chặn lệnh: rm -rf / --no-preserve-root\'},\n    {time:\'2026-08-04T15:46:00\',agent:\'schedule\',account:\'local\',machine:\'DESKTOP-DEMO\',action:\'dangerous_command\',actionLabel:\'Lệnh nguy hiểm\',detail:\'Chặn lệnh: rm -rf / --no-preserve-root\'},\n    {time:\'2026-08-04T10:13:00\',agent:\'Security Agent\',account:\'local\',machine:\'DESKTOP-DEMO\',action:\'path_outside_sandbox\',actionLabel:\'Path ngoài sandbox\',detail:\'Chặn đọc C:\\\\Users\\\\NamPDT\\\\Documents\\\\personal.xlsx\'},\n    {time:\'2026-08-03T11:45:00\',agent:\'graphrag\',account:\'local\',machine:\'DESKTOP-DEMO\',action:\'secret_in_output\',actionLabel:\'Tiết lộ bí mật\',detail:\'Phát hiện chuỗi giống API key trong đầu ra, đã che\'}\n  ];\n  function pad(n){return String(n).padStart(2,\'0\');}\n  function fmt(iso){var d=new Date(iso);return pad(d.getDate())+\'/\'+pad(d.getMonth()+1)+\' \'+pad(d.getHours())+\':\'+pad(d.getMinutes());}\n  function fmtFull(iso){var d=new Date(iso);return pad(d.getDate())+\'/\'+pad(d.getMonth()+1)+\'/\'+d.getFullYear()+\' · \'+pad(d.getHours())+\':\'+pad(d.getMinutes())+\':\'+pad(d.getSeconds());}\n  function ini(n){return n.split(\' \').map(function(w){return w[0];}).join(\'\').substring(0,2).toUpperCase();}\n  function ac(n){if(n.indexOf(\'Security\')>=0)return \'red\';if(n.indexOf(\'Cowork\')>=0)return \'blue\';if(n===\'schedule\')return \'amb\';if(n===\'graphrag\')return \'pur\';if(n.indexOf(\'Code\')>=0)return \'grn\';return \'blue\';}\n  function pcls(a){return ({dangerous_command:\'red\',path_outside_sandbox:\'grn\',network_blocked:\'teal\',secret_in_output:\'org\'})[a]||\'red\';}\n  function statusInfo(a){return ({\n    dangerous_command:{cls:\'pur\',icon:\'⊗\',label:\'Đã chặn\'},\n    path_outside_sandbox:{cls:\'grn\',icon:\'▤\',label:\'Path chặn\'},\n    network_blocked:{cls:\'teal\',icon:\'⦿\',label:\'Mạng chặn\'},\n    secret_in_output:{cls:\'org\',icon:\'🔒\',label:\'Bí mật lộ\'}\n  })[a]||{cls:\'pur\',icon:\'⊗\',label:\'Đã chặn\'};}\n  var maxTs=events.reduce(function(m,e){return Math.max(m,new Date(e.time).getTime());},0);\n  function render(list){\n    var tb=document.getElementById(\'s10tb\');\n    tb.innerHTML=list.map(function(ev,i){\n      return \'<tr data-i="\'+i+\'"><td>☐</td><td>\'+fmt(ev.time)+\'</td>\'+\n        \'<td><span class="av \'+ac(ev.agent)+\'">\'+ini(ev.agent)+\'</span>\'+ev.agent+\'</td>\'+\n        \'<td>\'+ev.account+\'</td><td>\'+ev.machine+\'</td>\'+\n        \'<td><span class="pill \'+pcls(ev.action)+\'">\'+ev.actionLabel+\'</span></td>\'+\n        \'<td class="dt">\'+ev.detail+\'</td></tr>\';\n    }).join(\'\');\n    Array.prototype.forEach.call(tb.querySelectorAll(\'tr\'),function(tr){\n      tr.addEventListener(\'click\',function(e){e.stopPropagation();openDetail(list[+tr.dataset.i],+tr.dataset.i);});\n    });\n    document.getElementById(\'s10count\').textContent=\'Hiển thị \'+list.length+\' / \'+events.length+\' sự kiện\';\n  }\n  function openDetail(ev,index){\n    var d=document.getElementById(\'s10detail\');\n    d.classList.remove(\'hide\');\n    var st=statusInfo(ev.action);\n    var sev=ev.action===\'dangerous_command\'?{t:\'CRITICAL\',c:\'red\'}:{t:\'MEDIUM\',c:\'amb\'};\n    var evtId=\'evt_\'+ev.time.replace(/[^0-9]/g,\'\').substring(0,12)+\'_\'+String(index).padStart(3,\'0\');\n    d.innerHTML=\n      \'<div class="hd2 row">Chi tiết sự kiện<span class="pchev" id="s10close">✕</span></div>\'+\n      \'<div class="dtl grow">\'+\n        \'<div class="hd3">THÔNG TIN CHUNG</div>\'+\n        \'<div class="fld"><span class="lbl">Thời gian</span><span class="val">\'+fmtFull(ev.time)+\'</span></div>\'+\n        \'<div class="fld"><span class="lbl">Agent</span><span class="val"><span class="pill \'+ac(ev.agent)+\'">\'+ini(ev.agent)+\' \'+ev.agent+\'</span></span></div>\'+\n        \'<div class="fld"><span class="lbl">Tài khoản</span><span class="val">\'+ev.account+\'</span></div>\'+\n        \'<div class="fld"><span class="lbl">Máy</span><span class="val"><span class="mono">\'+ev.machine+\'</span></span></div>\'+\n        \'<div class="hd3">HÀNH ĐỘNG</div>\'+\n        \'<div class="fld"><span class="lbl">Loại</span><span class="val"><span class="tagn">\'+ev.actionLabel+\'</span></span></div>\'+\n        \'<div class="fld"><span class="lbl">Trạng thái</span><span class="val"><span class="pill \'+st.cls+\'">\'+st.icon+\' \'+st.label+\'</span></span></div>\'+\n        \'<div class="hd3">CHI TIẾT CHẶN</div>\'+\n        \'<div class="code"><span>\'+ev.detail+\'</span><span class="cpy" id="s10copy">📋 Copy</span></div>\'+\n        \'<div class="hd3">METADATA</div>\'+\n        \'<div class="fld"><span class="lbl">Event ID</span><span class="val mono">\'+evtId+\'</span></div>\'+\n        \'<div class="fld"><span class="lbl">Policy</span><span class="val">security_policy_v2</span></div>\'+\n        \'<div class="fld"><span class="lbl">Severity</span><span class="val"><span class="pill \'+sev.c+\'">\'+sev.t+\'</span></span></div>\'+\n      \'</div>\'+\n      \'<div class="r tb pnlfoot"><div class="btn pri grow" id="s10closebtn">⭳ Đóng</div></div>\';\n    document.getElementById(\'s10close\').addEventListener(\'click\',function(e){e.stopPropagation();closeDetail();});\n    document.getElementById(\'s10closebtn\').addEventListener(\'click\',function(e){e.stopPropagation();closeDetail();});\n    document.getElementById(\'s10copy\').addEventListener(\'click\',function(e){\n      e.stopPropagation();\n      var text=ev.detail;\n      if(navigator.clipboard&&navigator.clipboard.writeText){navigator.clipboard.writeText(text).catch(function(){});}\n      var btn=document.getElementById(\'s10copy\');\n      btn.textContent=\'✓ Copied\';\n      setTimeout(function(){if(document.getElementById(\'s10copy\'))document.getElementById(\'s10copy\').textContent=\'📋 Copy\';},1500);\n    });\n  }\n  function closeDetail(){\n    var d=document.getElementById(\'s10detail\');\n    d.classList.add(\'hide\');\n    d.innerHTML=\'\';\n  }\n  document.addEventListener(\'click\',function(e){\n    var d=document.getElementById(\'s10detail\');\n    if(d.classList.contains(\'hide\'))return;\n    if(d.contains(e.target))return;\n    closeDetail();\n  });\n  function inRange(ev,bucket){\n    if(!bucket)return true;\n    var t=new Date(ev.time).getTime();\n    var day=86400000;\n    if(bucket===\'today\')return maxTs-t<day;\n    if(bucket===\'week\')return maxTs-t<7*day;\n    if(bucket===\'month\')return maxTs-t<31*day;\n    return true;\n  }\n  function apply(){\n    var ag=document.getElementById(\'s10agent\').value;\n    var act=document.getElementById(\'s10action\').value;\n    var dt=document.getElementById(\'s10date\').value;\n    var q=document.getElementById(\'s10q\').value.trim().toLowerCase();\n    var list=events.filter(function(ev){\n      if(ag&&ev.agent!==ag)return false;\n      if(act&&ev.action!==act)return false;\n      if(!inRange(ev,dt))return false;\n      if(q&&!(ev.agent.toLowerCase().indexOf(q)>=0||ev.actionLabel.toLowerCase().indexOf(q)>=0||ev.detail.toLowerCase().indexOf(q)>=0))return false;\n      return true;\n    });\n    render(list);\n  }\n  document.getElementById(\'s10agent\').addEventListener(\'change\',apply);\n  document.getElementById(\'s10action\').addEventListener(\'change\',apply);\n  document.getElementById(\'s10date\').addEventListener(\'change\',apply);\n  document.getElementById(\'s10q\').addEventListener(\'input\',apply);\n  document.getElementById(\'s10ai\').addEventListener(\'click\',apply);\n  document.getElementById(\'s10clear\').addEventListener(\'click\',function(){\n    document.getElementById(\'s10agent\').value=\'\';\n    document.getElementById(\'s10action\').value=\'\';\n    document.getElementById(\'s10date\').value=\'\';\n    document.getElementById(\'s10q\').value=\'\';\n    render(events);\n  });\n  render(events);\n})();\n</script>\n\n<div class="cols pc">\n<div><div class="cap">Vấn đề</div><ul class="pr"><li>Dải tab Monitoring bị ẩn sau accordion — không thấy 7 màn Giám sát còn lại từ đây.</li><li><b>Cột "Kết quả"</b> (✓/✕) trong bảng thật luôn hiện ✕ vì <code>audit_log.record("security_block",…)</code> luôn truyền <code>ok=False</code> — dư thừa, không phân biệt được gì.</li><li>KPI · lọc Agent/Hành động/Thời gian · phân trang · panel chi tiết đều là <b>tính năng mới</b>: bản thật hiện chỉ có 1 ô tìm + nút ✨AI + bảng cuộn (xem <code>ui/monitoring_tab.py:_wrap_with_filter</code>).</li></ul></div>\n<div><div class="cap">Thay đổi</div><ul class="pr"><li>Bỏ ẩn dải tab Monitoring (8 mục ngang hàng) — không đổi accordion nav rail.</li><li>Bỏ cột Kết quả luôn-giống-nhau; thay bằng cột <b>Hành động</b> dạng badge màu theo <code>name</code> thật (prompt/run_command/install_package).</li><li><span class="bad">Vượt phạm vi "chỉ sắp xếp lại"</span>: 4 thẻ KPI, 3 dropdown lọc, phân trang và panel chi tiết trượt — cần bổ sung logic đếm/lọc/phân trang ở <code>ui/monitoring_tab.py</code> trước khi hiện thực, và 2/4 loại "Hành động" (path ngoài sandbox, mạng chặn) chưa có nguồn ghi log thật.</li></ul></div>\n</div></div>',
+    'monitoring-lịch-sử-gọi-mcp': '<div class="bd">\n<p class="lead">Mọi lần agent gọi MCP server ngoài.</p>\n<div class="cap">Hiện tại</div>{{SHOT}}\n<p class="rg"><b>Trên</b>: 4 thẻ KPI · <b>Giữa</b>: ô tìm + nút ✨AI, lọc Server/Kết quả/Thời gian · <b>Dưới</b>: bảng có badge Kết quả (✓/✕ phân biệt thật theo <code>ok</code>) + phân trang, nhấp dòng mở panel chi tiết bên phải. <b>Bảng hiện tại</b> (ảnh trên) không có ô lọc/tìm kiếm nào — khác biệt không chủ đích so với 2 màn log kia.</p>\n<div class="cap">Đề xuất — bố cục mới</div>\n<div class="wf">\n<div class="rail">\n<div class="menutog"><span>MENU</span><span class="chev">‹</span></div>\n<div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div>\n<div class="newbtn">+ Đoạn chat mới</div>\n<div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div>\n<div class="sep"></div>\n<div class="hd">RECENTS</div>\n<div class="scope">📁 Báo cáo tài chính Q3</div>\n<div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div>\n<div class="grow"></div>\n<div class="sep"></div>\n<div class="i">Dashboard</div><div class="i">Monitoring</div>\n<div class="acct">👤 local · Ollama ▾</div>\n</div>\n<div class="main">\n<div class="ttl">Monitoring</div>\n<div class="r tb">\n<div class="tab">Tổng quan</div><div class="tab">Bảo mật</div><div class="tab on">MCP</div><div class="tab">Hành động</div><div class="tab">Agent</div><div class="tab">Agents Admin</div><div class="tab">Công cụ</div><div class="tab">Icon</div>\n</div>\n<div class="c grow">\n<div class="r tb">\n<div class="ttl">Lịch sử gọi MCP</div>\n<div class="grow"></div>\n<div class="btn">⭳ Xuất CSV</div><div class="btn pri">⟳ Làm mới</div>\n</div>\n<div class="r">\n<div class="kpi2"><div class="ic blue">▦</div><div><b>892</b><span class="s">Tổng cuộc gọi · +8.4%</span></div></div>\n<div class="kpi2"><div class="ic grn">✓</div><div><b>823</b><span class="s">Thành công · 92.3%</span></div></div>\n<div class="kpi2"><div class="ic red">✕</div><div><b>69</b><span class="s">Thất bại · 7.7%</span></div></div>\n<div class="kpi2"><div class="ic pur">◔</div><div><b>7</b><span class="s">Hôm nay · cuộc gọi</span></div></div>\n</div>\n<div class="r tb">\n<div class="srchwrap grow"><input class="inp" id="s11q" placeholder="🔍 Gõ câu hỏi hoặc từ khoá…"><span class="pill teal aibtn" id="s11ai">✨ AI</span></div>\n<select class="btn" id="s11server"><option value="">Server</option><option value="ms365">Microsoft 365</option><option value="github">GitHub</option><option value="filesystem">Filesystem</option><option value="search">Brave Search</option><option value="db">PostgreSQL</option></select>\n<select class="btn" id="s11status"><option value="">Kết quả</option><option value="ok">Thành công</option><option value="fail">Thất bại</option></select>\n<select class="btn" id="s11date"><option value="">Thời gian</option><option value="today">Hôm nay</option><option value="week">Tuần này</option><option value="month">Tháng này</option></select>\n<div class="btn" id="s11clear">✕ Xoá lọc</div>\n</div>\n<div class="tblwrap grow"><table class="evtbl"><thead><tr><th>Thời gian</th><th>Agent</th><th>Tài khoản</th><th>Máy</th><th>Tool</th><th>Kết quả</th><th>Chi tiết</th></tr></thead><tbody id="s11tb"></tbody></table></div>\n<div class="r tb"><div class="s" id="s11count">Hiển thị 25 / 25 cuộc gọi</div><div class="grow"></div><div class="btn">‹</div><div class="btn pri">1</div><div class="btn">›</div></div>\n</div>\n</div>\n<div class="c pane overlay hide" id="s11detail"></div>\n<div class="dock fab" title="AI Assistant — trợ lý cách dùng app"><span class="spark">✨</span></div></div>\n<script>\n(function(){\n  var calls=[\n    {time:\'2026-08-15T09:42:00\',tool:\'ms365__send_mail\',server:\'ms365\',ok:true,agent:\'Cowork Agent\',account:\'local\',machine:\'DESKTOP-DEMO\',detail:\'Đã gửi email đến nam.pdt@company.com — chủ đề "Báo cáo tuần Q3". 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class="val">\'+c.account+\'</span></div>\'+\n        \'<div class="fld"><span class="lbl">Máy</span><span class="val"><span class="mono">\'+c.machine+\'</span></span></div>\'+\n        \'<div class="hd3">TRẠNG THÁI</div>\'+\n        \'<div class="fld"><span class="lbl">Kết quả</span><span class="val">\'+resultPill+\'</span></div>\'+\n        \'<div class="hd3">OUTPUT / CHI TIẾT</div>\'+\n        \'<div class="code"><span>\'+c.detail+\'</span><span class="cpy" id="s11copy">📋 Copy</span></div>\'+\n        \'<div class="hd3">METADATA</div>\'+\n        \'<div class="fld"><span class="lbl">Call ID</span><span class="val mono">\'+evtId+\'</span></div>\'+\n        \'<div class="fld"><span class="lbl">Loại log</span><span class="val"><span class="tagn">mcp_call</span></span></div>\'+\n        \'<div class="fld"><span class="lbl">Namespace</span><span class="val mono">\'+c.server+\'__\'+toolShort(c.tool)+\'</span></div>\'+\n      \'</div>\'+\n      \'<div class="r tb pnlfoot"><div class="btn pri grow" id="s11closebtn">⭳ Đóng</div></div>\';\n    document.getElementById(\'s11close\').addEventListener(\'click\',function(e){e.stopPropagation();closeDetail();});\n    document.getElementById(\'s11closebtn\').addEventListener(\'click\',function(e){e.stopPropagation();closeDetail();});\n    document.getElementById(\'s11copy\').addEventListener(\'click\',function(e){\n      e.stopPropagation();\n      var text=c.detail;\n      if(navigator.clipboard&&navigator.clipboard.writeText){navigator.clipboard.writeText(text).catch(function(){});}\n      var btn=document.getElementById(\'s11copy\');\n      btn.textContent=\'✓ Copied\';\n      setTimeout(function(){if(document.getElementById(\'s11copy\'))document.getElementById(\'s11copy\').textContent=\'📋 Copy\';},1500);\n    });\n  }\n  function closeDetail(){\n    var d=document.getElementById(\'s11detail\');\n    d.classList.add(\'hide\');\n    d.innerHTML=\'\';\n  }\n  document.addEventListener(\'click\',function(e){\n    var d=document.getElementById(\'s11detail\');\n    if(d.classList.contains(\'hide\'))return;\n    if(d.contains(e.target))return;\n    closeDetail();\n  });\n  function inRange(c,bucket){\n    if(!bucket)return true;\n    var t=new Date(c.time).getTime();\n    var day=86400000;\n    if(bucket===\'today\')return maxTs-t<day;\n    if(bucket===\'week\')return maxTs-t<7*day;\n    if(bucket===\'month\')return maxTs-t<31*day;\n    return true;\n  }\n  function apply(){\n    var srv=document.getElementById(\'s11server\').value;\n    var st=document.getElementById(\'s11status\').value;\n    var dt=document.getElementById(\'s11date\').value;\n    var q=document.getElementById(\'s11q\').value.trim().toLowerCase();\n    var list=calls.filter(function(c){\n      if(srv&&c.server!==srv)return false;\n      if(st===\'ok\'&&!c.ok)return false;\n      if(st===\'fail\'&&c.ok)return false;\n      if(!inRange(c,dt))return false;\n      if(q&&!((c.tool+\' \'+c.server+\' \'+c.agent+\' \'+c.detail).toLowerCase().indexOf(q)>=0))return false;\n      return true;\n    });\n    render(list);\n  }\n  document.getElementById(\'s11server\').addEventListener(\'change\',apply);\n  document.getElementById(\'s11status\').addEventListener(\'change\',apply);\n  document.getElementById(\'s11date\').addEventListener(\'change\',apply);\n  document.getElementById(\'s11q\').addEventListener(\'input\',apply);\n  document.getElementById(\'s11ai\').addEventListener(\'click\',apply);\n  document.getElementById(\'s11clear\').addEventListener(\'click\',function(){\n    document.getElementById(\'s11server\').value=\'\';\n    document.getElementById(\'s11status\').value=\'\';\n    document.getElementById(\'s11date\').value=\'\';\n    document.getElementById(\'s11q\').value=\'\';\n    render(calls);\n  });\n  render(calls);\n})();\n</script>\n\n<div class="cols pc">\n<div><div class="cap">Vấn đề</div><ul class="pr"><li>Dải tab Monitoring bị ẩn sau accordion — không thấy 7 màn Giám sát còn lại từ đây.</li><li>Bảng <b>Lịch sử gọi MCP</b> thật hiện <b>không có ô tìm/lọc nào</b> — còn thiếu hơn cả Sự kiện bảo mật: <code>ui/monitoring_tab.py:166-168</code> tạo thẳng <code>self.mcp_table = _EventTable()</code> rồi thêm vào tab, không bọc qua <code>_wrap_with_filter</code> như Sự kiện bảo mật/Nhật ký hành động — đúng như đã ghi ở ảnh Hiện tại.</li><li>KPI · lọc Server/Kết quả/Thời gian · phân trang · panel chi tiết đều là <b>tính năng mới</b>: bản thật chỉ có bảng 7 cột (Thời gian/Vai trò/Tài khoản/Máy/Tên/Kết quả/Chi tiết), không tìm không lọc không phân trang (xem <code>ui/monitoring_tab.py:_EventTable</code>).</li><li>5 server trong bảng mẫu (M365/GitHub/Filesystem/Brave Search/PostgreSQL) chỉ là ví dụ minh hoạ lấy từ docstring <code>core/mcp_client.py</code> — server thật phụ thuộc Admin đã cấu hình connector nào ở Settings, không có sẵn mặc định.</li></ul></div>\n<div><div class="cap">Thay đổi</div><ul class="pr"><li>Bỏ ẩn dải tab Monitoring (8 mục ngang hàng) — không đổi accordion nav rail.</li><li>Thêm ô tìm kiếm + nút ✨AI cho bảng này để đồng bộ với 2 bảng log kia — hiện là bảng log duy nhất trong 3 bảng không có tìm kiếm.</li><li><span class="bad">Vượt phạm vi "chỉ sắp xếp lại"</span>: 4 thẻ KPI, 3 dropdown lọc (Server/Kết quả/Thời gian), phân trang và panel chi tiết trượt — cần bổ sung logic đếm/lọc/phân trang ở <code>ui/monitoring_tab.py</code> trước khi hiện thực; danh sách server chỉ minh hoạ, không phải cấu hình mặc định.</li></ul></div>\n</div></div>',
+    'monitoring-nhật-ký-hành-động': '<div class="bd">\n<p class="lead">Nhật ký cấp ứng dụng: ai đổi cấu hình, ai chạy task.</p>\n<div class="cap">Hiện tại</div>{{SHOT}}\n\n<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="ttl">Monitoring</div><div class="r tb"><div class="tab">Tổng quan</div><div class="tab">Bảo mật</div><div class="tab">MCP</div><div class="tab on">Hành động</div><div class="tab">Agent</div><div class="tab">Agents Admin</div><div class="tab">Công cụ</div><div class="tab">Icon</div></div><div class="c grow"><div class="r tb"><div class="ttl">Nhật ký hành động</div><div class="grow"></div><div class="btn">⭳ Xuất CSV</div><div class="btn pri">⟳ Làm mới</div></div><div class="r"><div class="kpi2"><div class="ic blue">▤</div><div><b>25</b><span class="s">Tổng sự kiện · +6.2%</span></div></div><div class="kpi2"><div class="ic grn">✓</div><div><b>19</b><span class="s">Thành công · 76%</span></div></div><div class="kpi2"><div class="ic red">✕</div><div><b>6</b><span class="s">Thất bại · 24%</span></div></div><div class="kpi2"><div class="ic pur">🛡</div><div><b>4</b><span class="s">Chặn bảo mật</span></div></div></div><div class="r tb"><div class="srchwrap grow"><input class="inp" placeholder="🔍 Tìm hành động, agent, chi tiết…"><span class="pill teal aibtn">✨ AI</span></div><select class="btn"><option value="">Tất cả loại</option><option>Công cụ</option><option>Gọi MCP</option><option>Chặn bảo mật</option><option>Quyền</option></select><select class="btn"><option value="">Tất cả trạng thái</option><option>Thành công</option><option>Thất bại</option></select><select class="btn"><option value="">Tất cả thời gian</option><option>Hôm nay</option><option>Tuần này</option><option>Tháng này</option></select><div class="btn">✕ Xóa lọc</div></div><div class="tblwrap grow"><table class="evtbl"><thead><tr><th>Thời gian</th><th>Agent</th><th>Loại</th><th>Máy</th><th>Hành động</th><th>Kết quả</th><th>Chi tiết</th></tr></thead><tbody><tr><td>15/08 · 09:42</td><td><span class="av blue">CA</span>Cowork Agent</td><td><span class="pill teal">Gọi MCP</span></td><td>DESKTOP-DEMO</td><td>ms365__send_mail</td><td><span class="pill grn">✓ Thành công</span></td><td class="dt">Đã gửi email đến nam.pdt@company.com — chủ đề "Báo cáo tuần Q3".</td></tr><tr><td>15/08 · 09:38</td><td><span class="av blue">CA</span>Cowork Agent</td><td><span class="pill blue">Công cụ</span></td><td>DESKTOP-DEMO</td><td>read_file</td><td><span class="pill grn">✓ Thành công</span></td><td class="dt">Đã đọc ./docs/installation.md (172 dòng).</td></tr><tr><td>15/08 · 09:31</td><td><span class="av red">SA</span>Security Agent</td><td><span class="pill pur">Chặn bảo mật</span></td><td>DESKTOP-DEMO</td><td>dangerous_command</td><td><span class="pill red">✕ Thất bại</span></td><td class="dt">Chặn lệnh: rm -rf / --no-preserve-root</td></tr><tr><td>15/08 · 09:20</td><td><span class="av blue">CA</span>Cowork Agent</td><td><span class="pill gry">Quyền</span></td><td>DESKTOP-DEMO</td><td>path_outside_sandbox</td><td><span class="pill red">✕ Thất bại</span></td><td class="dt">Chặn đọc C:\\Users\\NamPDT\\Documents\\personal.xlsx — ngoài sandbox.</td></tr><tr><td>15/08 · 08:55</td><td><span class="av red">SA</span>Security Agent</td><td><span class="pill teal">Gọi MCP</span></td><td>DESKTOP-DEMO</td><td>brave__web_search</td><td><span class="pill grn">✓ Thành công</span></td><td class="dt">Trả về 8 kết quả cho "CVE-2026-1234".</td></tr><tr><td>14/08 · 17:45</td><td><span class="av amb">SC</span>schedule</td><td><span class="pill blue">Công cụ</span></td><td>DESKTOP-DEMO</td><td>run_command</td><td><span class="pill grn">✓ Thành công</span></td><td class="dt">python scripts/report.py — thoát mã 0.</td></tr></tbody></table></div><div class="r tb"><div class="s">Hiển thị 1-25 của 25 sự kiện</div><div class="grow"></div><div class="btn">‹</div><div class="btn pri">1</div><div class="btn">›</div></div></div></div><div class="dock fab" title="AI Assistant — trợ lý cách dùng app"><span class="spark">✨</span></div></div>\n\n<div class="cols pc">\n<div><div class="cap">Vấn đề</div><ul class="pr"><li>Bảng thật (<code>ui/monitoring_tab.py:_EventTable</code>) gộp cả 4 loại sự kiện (tool_call/mcp_call/security_block/permission) vào tab này nhưng không có cột phân loại — phải tự suy ra loại hành động từ cột "Tên".</li><li>Bộ lọc thật (<code>_wrap_with_filter</code>) chỉ có 1 ô tìm + nút ✨AI; 3 dropdown Loại/Trạng thái/Thời gian, 4 thẻ KPI, phân trang và nút Xuất CSV trong <code>12.ui-redesign-action-logs.html</code> đều là <b>tính năng mới</b>, chưa có trong code.</li><li>Bảng thật giới hạn ngầm <code>_MAX_ROWS</code> dòng mới nhất và không phân trang — không biết còn bao nhiêu sự kiện bị ẩn.</li></ul></div>\n<div><div class="cap">Thay đổi</div><ul class="pr"><li>Thêm cột <b>Loại</b> dạng pill màu (Công cụ/Gọi MCP/Chặn bảo mật/Quyền) trước cột Hành động, tái dùng đúng bảng màu <code>.pill</code> đã áp cho Sự kiện bảo mật (mục 10).</li><li><span class="bad">Vượt phạm vi "chỉ sắp xếp lại"</span>: 4 thẻ KPI, 3 dropdown lọc, phân trang và nút Xuất CSV cần bổ sung logic đếm/lọc/phân trang/export ở <code>ui/monitoring_tab.py</code> trước khi hiện thực — hiện bảng thật chỉ lọc bằng 1 ô tìm text.</li></ul></div>\n</div></div>',
+    'monitoring-trạng-thái-agent': '<div class="bd">\n<p class="lead">Agent nào đang bật và nguồn định nghĩa.</p>\n<div class="cap">Hiện tại</div>{{SHOT}}\n\n<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="ttl">Monitoring</div><div class="r tb"><div class="tab">Tổng quan</div><div class="tab">Bảo mật</div><div class="tab">MCP</div><div class="tab">Hành động</div><div class="tab on">Agent</div><div class="tab">Agents Admin</div><div class="tab">Công cụ</div><div class="tab">Icon</div></div><div class="c grow"><div class="r tb"><div class="ttl">Trạng thái Agent</div><div class="grow"></div><div class="btn">⟳ Làm mới</div></div><div class="tblwrap grow"><table class="evtbl"><thead><tr><th>Agent</th><th>Trạng thái</th><th>Nguồn</th></tr></thead><tbody><tr><td><span class="ic blue" style="display:inline-flex;vertical-align:middle;margin-right:6px">👤</span>Cowork Agent</td><td><span class="pill gry">● Rảnh</span></td><td class="dt">Lượt đang chạy của tab Cowork</td></tr><tr><td><span class="ic amb" style="display:inline-flex;vertical-align:middle;margin-right:6px">⏱</span>Task Agent</td><td><span class="pill gry">● Rảnh</span></td><td class="dt">Task đang chạy trong Schedule Task</td></tr><tr><td><span class="ic pur" style="display:inline-flex;vertical-align:middle;margin-right:6px">◈</span>Knowledge Agent</td><td><span class="pill gry">● Rảnh</span></td><td class="dt">Ô hỏi của GraphRAG</td></tr><tr><td><span class="ic gry" style="display:inline-flex;vertical-align:middle;margin-right:6px">▦</span>Planner Agent</td><td><span class="pill gry">—</span></td><td class="dt">Một giai đoạn trong lượt Cowork/Task đang chạy (update_plan) — không theo dõi riêng</td></tr><tr><td><span class="ic gry" style="display:inline-flex;vertical-align:middle;margin-right:6px">⬡</span>Reasoning Agent</td><td><span class="pill gry">—</span></td><td class="dt">Luồng suy luận (reasoning) của model trong lượt đang chạy — không theo dõi riêng</td></tr><tr><td><span class="ic red" style="display:inline-flex;vertical-align:middle;margin-right:6px">🛡</span>Security Agent</td><td><span class="pill grn">● Bật</span></td><td class="dt">Kiểm duyệt prompt/đính kèm/lệnh của Agent Security — chạy inline trong lượt đang chạy</td></tr></tbody></table></div></div></div><div class="dock fab" title="AI Assistant — trợ lý cách dùng app"><span class="spark">✨</span></div></div>\n<div class="cols pc">\n<div><div class="cap">Vấn đề</div><ul class="pr"><li>Bảng thật 3 cột (Agent · Đang chạy · Nguồn, <code>ui/monitoring_tab.py:_refresh_agent_status</code>) chỉ dùng chữ/icon đơn cho trạng thái — khó quét nhanh dòng nào đang chạy khi bảng dài.</li></ul></div>\n<div><div class="cap">Thay đổi</div><ul class="pr"><li>Giữ nguyên 3 cột <b>Agent · Trạng thái · Nguồn</b> (không chuyển sang lưới thẻ, không thêm cột mới) — chỉ thêm icon màu theo loại agent trước tên và badge màu cho Trạng thái (xanh khi đang chạy/bật, xám khi "—") thay cho chữ thuần.</li></ul></div>\n</div></div>',
+    'monitoring-agents-admin': '<div class="bd">\n<p class="lead">Quản trị agent hệ thống. Cũng là nơi chọn model cho robot trợ giúp.</p>\n<div class="cap">Hiện tại</div>{{SHOT}}\n<p class="rg"><b>Nút Kiểm tra</b>: probe provider thật</p>\n<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="ttl">Monitoring</div><div class="r tb"><div class="tab">Tổng quan</div><div class="tab">Bảo mật</div><div class="tab">MCP</div><div class="tab">Hành động</div><div class="tab">Agent</div><div class="tab on">Agents Admin</div><div class="tab">Công cụ</div><div class="tab">Icon</div></div><div class="c grow"><div class="r tb"><div class="ttl">Agents Admin</div><div class="grow"></div><div class="btn">⟳ Làm mới</div><div class="btn pri">+ Thêm</div></div><div class="s">Agent quản lý hệ thống, dùng chung mọi máy (lưu trong thư mục dùng chung): agent trợ giúp và agent chạy Schedule Task. Đây <b>KHÔNG</b> phải agent để chọn trong Cowork hay Co4E.</div><div class="tblwrap grow"><table class="evtbl"><thead><tr><th>Tên</th><th>Vai trò</th><th>Model</th><th>Kích hoạt</th><th>Trạng thái</th><th>Cập nhật</th><th></th></tr></thead><tbody><tr><td><span class="av red">SA</span>Security Agent</td><td><span class="pill red">Bảo mật</span></td><td class="dt">Ollama — qwen2.5:7b</td><td><span class="tsw on"><i></i></span></td><td><span class="pill grn">OK</span></td><td class="dt">11/08 09:30</td><td>✎&nbsp;🗑</td></tr><tr><td><span class="av pur">GA</span>GraphRAG Agent</td><td><span class="pill pur">Tri thức</span></td><td class="dt">Ollama — qwen2.5:14b</td><td><span class="tsw on"><i></i></span></td><td><span class="pill grn">OK</span></td><td class="dt">10/08 14:22</td><td>✎&nbsp;🗑</td></tr><tr><td><span class="av amb">MA</span>Monitor Agent</td><td><span class="pill amb">Giám sát</span></td><td class="dt">Mặc định — qwen2.5:7b</td><td><span class="tsw on"><i></i></span></td><td><span class="pill amb">Kiểm tra…</span></td><td class="dt">09/08 11:05</td><td>✎&nbsp;🗑</td></tr><tr><td><span class="av teal">HA</span>Help Assistant</td><td><span class="pill teal">Hỗ trợ</span></td><td class="dt">Mặc định — qwen2.5:7b</td><td><span class="tsw"><i></i></span></td><td><span class="pill gry">Chưa kiểm tra</span></td><td class="dt">08/08 16:40</td><td>✎&nbsp;🗑</td></tr></tbody></table></div></div></div><div class="dock fab" title="AI Assistant — trợ lý cách dùng app"><span class="spark">✨</span></div></div>\n{{CONTROLS}}\n<div class="cols pc">\n<div><div class="cap">Vấn đề</div><ul class="pr"><li>Cột Vai trò/Kích hoạt/Trạng thái chỉ là chữ hoặc icon đơn — khó phân biệt nhanh giữa các dòng khi bảng dài.</li><li>Bỏ [Kiểm tra tất cả] khỏi thanh công cụ chính làm mất lối vào hành động thật (<code>_check_all</code> trong <code>ui/agents_admin_tab.py</code>) — cần chỗ khác để gọi (icon riêng theo dòng, hoặc menu ⋯).</li></ul></div>\n<div><div class="cap">Thay đổi</div><ul class="pr"><li>Vai trò/Trạng thái chuyển sang badge màu + avatar viết tắt tên trước Tên agent; nút Sửa/Xoá dời vào từng dòng thay vì thanh công cụ rời bên dưới.</li><li>Thanh công cụ chính chỉ còn 2 nút: <b>Làm mới</b> (giống nút <code>monitoring.refresh</code> toàn màn hình) và <b>+ Thêm</b> (giống nút <code>agents_admin.add_btn</code> thật) — Sửa/Xoá đã dời vào từng dòng nên không cần ở đây nữa.</li></ul></div>\n</div></div>',
+    'monitoring-công-cụ': '<div class="bd">\n<p class="lead">Bật/tắt công cụ dựng sẵn và khai báo kết nối ngoài. Màn <b>duy nhất</b> còn hiện dải tab bên trong.</p>\n<div class="cap">Hiện tại</div>{{SHOT}}\n<p class="rg"><b>Tool</b>: công cụ dựng sẵn + tự kiểm tra Internet · <b>Connector</b>: MCP · REST · MS365 · Jira</p>\n<div class="cap">Đề xuất — bố cục mới</div><div class="cap" style="margin:0 0 3px">Tab Tool</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="ttl">Monitoring</div><div class="r tb"><div class="tab">Tổng quan</div><div class="tab">Bảo mật</div><div class="tab">MCP</div><div class="tab">Hành động</div><div class="tab">Agent</div><div class="tab">Agents Admin</div><div class="tab on">Công cụ</div><div class="tab">Icon</div></div><div class="r tb"><div class="tab on">Tool</div><div class="tab">Connector</div><div class="grow"></div></div><div class="c grow pane"><div class="r wrap"><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic blue">📄</div><b>read_file</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Đọc nội dung file text trong thư mục làm việc</span></div><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic blue">📁</div><b>list_dir</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Liệt kê file/thư mục con tại một đường dẫn</span></div><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic blue">✎</div><b>write_file</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Tạo file mới hoặc ghi đè toàn bộ file</span></div><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic blue">✏</div><b>edit_file</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Sửa một đoạn chính xác trong file có sẵn</span></div><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic grn">▤</div><b>run_command</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Chạy lệnh shell trong thư mục làm việc</span></div><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic pur">⭳</div><b>install_package</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Cài package Python (pip) vào môi trường app</span></div><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic amb">⤓</div><b>fetch_url</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Lấy nội dung trang web/tài liệu theo URL</span><div class="r tb" style="margin-top:3px"><div class="btn" id="fu-test">🌐 Kiểm tra Internet</div><span class="s" id="fu-status" style="color:var(--ok);margin-left:6px">✓ Kết nối OK · 42ms</span></div></div><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic pur">🔍</div><b>jira_search</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Tìm issue Jira bằng JQL, trả về danh sách tóm tắt</span></div><div class="card" style="flex:0 0 190px"><div class="r tb"><div class="ic pur">🔗</div><b>jira_get_issue</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Đọc chi tiết 1 issue Jira theo mã (vd ABX-123)</span></div></div><div class="grow"></div></div></div></div>\n<script>\n(function(){\n  var btn=document.getElementById(\'fu-test\');\n  if(!btn)return;\n  btn.addEventListener(\'click\',function(){\n    var st=document.getElementById(\'fu-status\');\n    st.style.color=\'var(--fnt)\';\n    st.textContent=\'Đang kiểm tra Internet…\';\n    setTimeout(function(){\n      st.style.color=\'var(--ok)\';\n      st.textContent=\'✓ Kết nối OK · \'+(30+Math.floor(Math.random()*40))+\'ms\';\n    },700);\n  });\n})();\n</script>\n<div class="cap" style="margin:10px 0 3px">Tab Connector</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="ttl">Monitoring</div><div class="r tb"><div class="tab">Tổng quan</div><div class="tab">Bảo mật</div><div class="tab">MCP</div><div class="tab">Hành động</div><div class="tab">Agent</div><div class="tab">Agents Admin</div><div class="tab on">Công cụ</div><div class="tab">Icon</div></div><div class="r tb"><div class="tab">Tool</div><div class="tab on">Connector</div><div class="grow"></div></div><div class="c grow pane"><div class="r tb"><span class="tsw on"><i></i></span><span class="lbl">Kết nối tới connector bên ngoài</span></div><div class="s">Một nơi duy nhất cho mọi nguồn tool ngoài — nhóm theo CAD (NX/CATIA/SolidWorks/AutoCAD), CAE (ANSA/ABAQUS/HyperWorks/ANSYS), MS365 (Microsoft 365/OneDrive/SharePoint) và Other (MCP server bất kỳ). MS365 tự kết nối qua server tích hợp sau khi đăng nhập; còn lại bạn trỏ mỗi connector tới MCP server bạn đã có hoặc REST API nó cung cấp (không kèm SDK hãng nào).</div><div class="grow" style="overflow-y:auto"><div class="r tb" style="gap:6px;margin-top:4px"><span>🔧</span><b>CAD</b><span class="lbl">(NX / CATIA / SolidWorks / AutoCAD)</span></div><div class="r wrap" style="margin-left:18px"><div class="card" style="flex:0 0 auto"><div class="r tb"><b>AutoCAD</b><span class="grow"></span><span class="tsw"><i></i></span></div><span class="s">MCP server (stdio)</span><span class="s" style="margin-top:2px">✎ Sửa &nbsp;·&nbsp; 🗑 Xóa</span></div></div><div class="r tb" style="gap:6px;margin-top:4px"><span>📐</span><b>CAE</b><span class="lbl">(ANSA / ABAQUS / HyperWorks / ANSYS)</span></div><div class="r wrap" style="margin-left:18px"><div class="card" style="flex:0 0 auto"><div class="r tb"><b>ANSA</b><span class="grow"></span><span class="tsw"><i></i></span></div><span class="s">MCP server (stdio)</span><span class="s" style="margin-top:2px">✎ Sửa &nbsp;·&nbsp; 🗑 Xóa</span></div></div><div class="r tb" style="gap:6px;margin-top:4px"><span>☁</span><b>MS365</b><span class="lbl">(Microsoft 365 / OneDrive / SharePoint)</span></div><div class="r wrap" style="margin-left:18px"><div class="card" style="flex:0 0 auto"><div class="r tb"><b>OneDrive</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Tích hợp, tự kết nối</span></div><div class="card" style="flex:0 0 auto"><div class="r tb"><b>SharePoint</b><span class="grow"></span><span class="tsw on"><i></i></span></div><span class="s">Tích hợp, tự kết nối</span></div></div><div class="r tb" style="gap:6px;margin-top:4px"><span>🔌</span><b>Other</b><span class="lbl">(any generic MCP server)</span></div><div class="r wrap" style="margin-left:18px"><div class="card" style="flex:0 0 auto"><div class="r tb"><b>Jira</b><span class="grow"></span><span class="tsw"><i></i></span></div><span class="s">Tích hợp, tự kết nối · chưa cấu hình</span><span class="s" style="margin-top:2px">✎ Sửa</span></div></div></div><div class="r tb" style="margin-top:4px"><div class="btn pri">+ Thêm connector…</div></div></div></div><div class="dock fab" title="AI Assistant — trợ lý cách dùng app"><span class="spark">✨</span></div></div>\n{{CONTROLS}}\n<div class="cols pc">\n<div><div class="cap">Vấn đề</div><ul class="pr"><li>Màn <b>duy nhất còn hiện dải tab</b> — 7 màn Monitoring kia bị ẩn. Không nhất quán.</li><li>Tab <b>Tool</b>/<b>Connector</b> lọt thỏm trong một mục nav.</li><li>Cấu hình kết nối tách khỏi Settings → thiết lập ở 2 nơi.</li><li>Tab <b>Tool</b> liệt kê <b>9 tool thật</b> (<code>core/tools.py:TOOL_SPECS</code>) dạng chữ phẳng (☑/☐) — không thấy ngay tool nào đang bật khi lướt nhanh.</li><li>Tab <b>Connector</b> là cây phân cấp 4 nhóm (CAD/CAE/MS365/Other, <code>ui/connectors_panel.py</code>) — phải bung từng nhóm mới thấy có gì bên trong.</li></ul></div>\n<div><div class="cap">Thay đổi</div><ul class="pr"><li>Bỏ ẩn dải tab cho toàn bộ Monitoring → 8 tab một hàng; Tool/Connector ngang hàng.</li><li>Tab Tool: 9 tool thành <b>lưới thẻ căn trái</b> (không kéo giãn lấp đầy hàng) — icon màu theo loại + công tắc gạt bật/tắt, thay ô tick trong list phẳng.</li><li>Tab Connector: 4 nhóm thật thành khối <b>nhóm theo catalog</b> (không gộp vào tab Tool) — mỗi catalog là 1 tiêu đề (icon + tên + loại máy/phần mềm), bên dưới là hàng thẻ nhỏ căn trái, mỗi thẻ 1 option thật kèm <b>công tắc gạt</b> bật/tắt (không phải badge tĩnh) — đúng bản chất mỗi option đều chuyển được trạng thái, nhất quán với công tắc ở tab Tool; giữ đúng cấu trúc phân cấp 2 tầng của cây thật thay vì gộp phẳng vào 1 thẻ/catalog. Công tắc "Kết nối ngoài" tổng vẫn ở trên cùng. Thẻ của connector do người dùng tự thêm (AutoCAD, ANSA) có thêm ✎ Sửa/🗑 Xóa đúng như <code>_ext_edit</code>/<code>_ext_delete</code> thật; Jira (built-in) chỉ có ✎ Sửa (mở dialog cấu hình riêng, không xóa được); OneDrive/SharePoint (built-in MS365) không có nút nào — thật cũng chỉ bật/tắt, không sửa/xóa.</li><li>Nút <b>Kiểm tra Internet</b> dời từ thanh trên (tách khỏi tool nào) vào đúng bên trong thẻ <b>fetch_url</b>, khớp <code>tools_admin_tab.py:_fetch_url_desc_cell</code> — nút này gắn với khả năng fetch_url, không phải một hành động chung của cả tab.</li></ul></div>\n</div></div>',
+    'monitoring-icon': '<div class="bd">\n<p class="lead">Thư viện icon, dùng lại khi đặt icon cho agent Co4E.</p>\n<div class="cap">Hiện tại</div>{{SHOT}}\n\n<div class="cap">Đề xuất — bố cục mới</div><div class="wf"><div class="rail"><div class="menutog"><span>MENU</span><span class="chev">‹</span></div><div class="rpick"><span>📁 Báo cáo tài chính Q3</span><span class="cv">▾</span></div><div class="newbtn">+ Đoạn chat mới</div><div class="i">Project</div><div class="i">Cowork</div><div class="i">Co4E</div><div class="i">Folder</div><div class="i">GraphRAG</div><div class="i">Schedule Task</div><div class="sep"></div><div class="hd">RECENTS</div><div class="scope">📁 Báo cáo tài chính Q3</div><div class="i sm">📌 Gom số liệu doanh thu</div><div class="i sm">Dựng slide trình bày Q3</div><div class="i sm allp">Tất cả project…</div><div class="grow"></div><div class="sep"></div><div class="i">Dashboard</div><div class="i">Monitoring</div><div class="acct">👤 local · Ollama ▾</div></div><div class="main"><div class="ttl">Monitoring</div><div class="r tb"><div class="tab">Tổng quan</div><div class="tab">Bảo mật</div><div class="tab">MCP</div><div class="tab">Hành động</div><div class="tab">Agent</div><div class="tab">Agents Admin</div><div class="tab">Công cụ</div><div class="tab on">Icon</div></div><div class="c grow"><div class="r tb"><div class="ttl">Icon</div><div class="grow"></div><div class="btn">+ Thêm icon</div><div class="btn">Dán SVG</div><div class="btn">Xoá</div></div><div class="srchwrap"><div class="inp grow">🔍 Tìm icon theo tên…</div></div><div class="hd2">ICON TÍCH HỢP</div><div class="r wrap"><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">✛</div><span class="s">plus</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">✓</div><span class="s">check</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">✕</div><span class="s">close</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">✎</div><span class="s">edit</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">🗑</div><span class="s">trash</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">⟳</div><span class="s">refresh</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">🔍</div><span class="s">search</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">⚙</div><span class="s">settings</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">🤖</div><span class="s">robot</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">🛡</div><span class="s">shield</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">🔧</div><span class="s">wrench</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">★</div><span class="s">star</span></div></div><div class="hd2" style="margin-top:4px">ICON TÙY CHỈNH</div><div class="r wrap"><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">🧠</div><span class="s">brain</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">⌥</div><span class="s">code</span></div><div class="card" style="flex:0 0 56px;text-align:center;padding:6px 2px"><div style="font-size:16px">☁</div><span class="s">cloud</span></div></div></div></div><div class="dock fab" title="AI Assistant — trợ lý cách dùng app"><span class="spark">✨</span></div></div>\n{{CONTROLS}}\n<div class="cols pc">\n<div><div class="cap">Vấn đề</div><ul class="pr"><li>Ô icon trong lưới hiện tại không có viền/hover rõ khi rê chuột hay khi đang chọn.</li></ul></div>\n<div><div class="cap">Thay đổi</div><ul class="pr"><li>Ô tìm kiếm thêm icon kính lúp bên trái; mỗi ô icon có viền accent khi hover/chọn — cùng ngôn ngữ thẻ với Agent/Công cụ.</li></ul></div>\n</div></div>',
+    'dialog-settings': '<div class="bd">\n<p class="lead">Thiết lập toàn app. Cuộn dọc, không mục lục.</p>\n<div class="cap">Hiện tại</div>{{SHOT}}\n<p class="rg"><b>5 nhóm</b>: Ngôn ngữ · Provider · Bảo mật (khoá mật khẩu) · Tham số · Routing</p>\n<div class="cap">Đề xuất — bố cục mới</div><div class="wf" id="setwf"><div class="main dlg"><div class="ttl">Cài đặt</div><div class="r grow"><div class="c w26 pane"><div class="li on" id="setl-chung">Chung<span class="s">ngôn ngữ · giao diện · khay</span></div><div class="li" id="setl-provider">AI Provider<span class="s">Ollama · qwen2.5-coder</span></div><div class="li" id="setl-sandbox">Bảo mật sandbox<span class="s">🔒 cần mở khoá</span></div><div class="li" id="setl-param">Tham số<span class="s">đính kèm · GraphRAG · giới hạn</span></div><div class="li" id="setl-routing">Auto Model Routing<span class="s">đang Tắt</span></div><div class="grow"></div></div><div class="c grow"><div id="setp-chung"><div class="frow"><span class="lbl">Ngôn ngữ hiển thị</span><div class="grow"></div><div class="seg" id="set-lang"><span data-v="en">English</span><span class="on" data-v="vi">Tiếng Việt</span><span data-v="ja">日本語</span></div></div><div class="frow"><span class="lbl">Giao diện</span><div class="grow"></div><div class="seg" id="set-theme"><span data-v="light">Sáng</span><span class="on" data-v="system">Hệ thống</span><span data-v="dark">Tối</span></div></div><div class="frow"><span class="lbl">Giữ chạy nền trong khay hệ thống khi đóng</span><div class="grow"></div><div class="tsw on"><i></i></div></div><div class="frow"><span class="lbl">Hiện thông báo khay khi tác vụ xong hoặc lỗi</span><div class="grow"></div><div class="tsw on"><i></i></div></div></div><div id="setp-provider" class="hide"><div class="lbl">Nhà cung cấp AI</div><div class="inp">Ollama (local models)</div><div class="lbl">Base URL</div><div class="inp">http://localhost:11434</div><div class="lbl">API Key</div><div class="inp">••••••••</div><div class="lbl">Model</div><div class="inp">qwen2.5-coder:7b <span class="s">⭳ Tải · ⚗ Test kết nối</span></div></div><div id="setp-sandbox" class="hide"><div class="r tb"><div class="inp grow">Nhập mật khẩu…</div><div class="btn">Unlock</div><span class="pill red">🔒 Locked</span></div><div class="frow"><span class="lbl">Xác nhận trước khi Cowork chạy lệnh</span><div class="grow"></div><div class="tsw"><i></i></div></div><div class="frow"><span class="lbl">Chặn mạng cho lệnh do agent chạy</span><div class="grow"></div><div class="tsw on"><i></i></div></div><div class="frow"><span class="lbl">Enable Agent Security (kiểm tra lệnh)</span><div class="grow"></div><div class="tsw on"><i></i></div></div><div class="frow"><span class="lbl">AI check commands</span><div class="grow"></div><div class="tsw"><i></i></div></div></div><div id="setp-param" class="hide"><div class="card"><div class="cap">Đính kèm</div><div class="frow"><span class="lbl">Số tệp tối đa</span><div class="grow"></div><div class="stp"><span class="sb" data-t="sp-files" data-d="-1">−</span><span class="sv" id="sp-files">20</span><span class="sb" data-t="sp-files" data-d="1">+</span></div><span class="s">tệp</span></div><div class="frow"><span class="lbl">Token tối đa mỗi tệp</span><div class="grow"></div><div class="stp"><span class="sb" data-t="sp-tokens" data-d="-5">−</span><span class="sv" id="sp-tokens">500</span><span class="sb" data-t="sp-tokens" data-d="5">+</span></div><span class="s">nghìn</span></div></div><div class="card"><div class="cap">Cấu trúc &amp; GraphRAG</div><div class="frow"><span class="lbl">Số node tối đa</span><div class="grow"></div><div class="stp"><span class="sb" data-t="sp-nodes" data-d="-1">−</span><span class="sv" id="sp-nodes">500</span><span class="sb" data-t="sp-nodes" data-d="1">+</span></div><span class="s">node</span></div><div class="frow"><span class="lbl">Số cạnh tối đa</span><div class="grow"></div><div class="stp"><span class="sb" data-t="sp-edges" data-d="-1">−</span><span class="sv" id="sp-edges">500</span><span class="sb" data-t="sp-edges" data-d="1">+</span></div><span class="s">cạnh</span></div></div><div class="card"><div class="cap">Giới hạn sandbox</div><div class="frow"><span class="lbl">CPU</span><div class="grow"></div><b>Không giới hạn</b></div><div class="frow"><span class="lbl">Bộ nhớ</span><div class="grow"></div><b>2.048 MB</b></div><div class="frow"><span class="lbl">Disk I/O</span><div class="grow"></div><b>2.048 MB</b></div></div></div><div id="setp-routing" class="hide"><div class="frow"><span class="lbl">Chế độ</span><div class="grow"></div><div class="seg" id="set-rmode"><span class="on" data-v="off">Tắt</span><span data-v="auto">Auto</span><span data-v="manual">Manual</span></div></div><div class="frow"><span class="lbl">Chính sách</span><div class="grow"></div><div class="seg" id="set-rpolicy"><span data-v="quality">Chất lượng</span><span data-v="cost">Chi phí</span><span data-v="latency">Độ trễ</span><span class="on" data-v="balanced">Cân bằng</span></div></div><div class="frow"><span class="lbl">Ngưỡng tăng điểm tối thiểu</span><div class="grow"></div><div class="stp"><span class="sb" data-t="sp-mingain" data-d="-1">−</span><span class="sv" id="sp-mingain">5</span><span class="sb" data-t="sp-mingain" data-d="1">+</span></div><span class="s">%</span></div><div class="frow"><span class="lbl">Timeout xác nhận</span><div class="grow"></div><div class="stp"><span class="sb" data-t="sp-timeout" data-d="-1">−</span><span class="sv" id="sp-timeout">60</span><span class="sb" data-t="sp-timeout" data-d="1">+</span></div><span class="s">giây</span></div><div class="frow"><span class="lbl">Chu kỳ đánh giá lại</span><div class="grow"></div><div class="stp"><span class="sb" data-t="sp-interval" data-d="-1">−</span><span class="sv" id="sp-interval">24</span><span class="sb" data-t="sp-interval" data-d="1">+</span></div><span class="s">giờ</span></div><div class="frow"><span class="lbl">Đồng thời mỗi provider</span><div class="grow"></div><div class="stp"><span class="sb" data-t="sp-concurrency" data-d="-1">−</span><span class="sv" id="sp-concurrency">2</span><span class="sb" data-t="sp-concurrency" data-d="1">+</span></div></div><div class="lbl">Judge model</div><div class="inp">(để trống · dùng model đang chọn)</div><div class="r tb"><div class="btn">⟳ Đánh giá lại ngay</div></div></div><div class="grow"></div><div class="r tb end"><div class="btn">Huỷ</div><div class="btn pri">Lưu</div></div></div></div></div></div>\n<script>\n(function(){\n  var panels=[\'chung\',\'provider\',\'sandbox\',\'param\',\'routing\'];\n  panels.forEach(function(p){\n    document.getElementById(\'setl-\'+p).addEventListener(\'click\',function(){\n      panels.forEach(function(q){\n        document.getElementById(\'setl-\'+q).classList.toggle(\'on\',q===p);\n        document.getElementById(\'setp-\'+q).classList.toggle(\'hide\',q!==p);\n      });\n    });\n  });\n  Array.prototype.forEach.call(document.querySelectorAll(\'#setwf .tsw\'),function(t){\n    t.addEventListener(\'click\',function(){t.classList.toggle(\'on\');});\n  });\n  Array.prototype.forEach.call(document.querySelectorAll(\'#setwf .seg\'),function(seg){\n    Array.prototype.forEach.call(seg.querySelectorAll(\'span\'),function(s){\n      s.addEventListener(\'click\',function(){\n        Array.prototype.forEach.call(seg.querySelectorAll(\'span\'),function(x){x.classList.remove(\'on\');});\n        s.classList.add(\'on\');\n      });\n    });\n  });\n  Array.prototype.forEach.call(document.querySelectorAll(\'#setwf .stp .sb\'),function(btn){\n    btn.addEventListener(\'click\',function(){\n      var target=document.getElementById(btn.dataset.t);\n      var v=parseInt(target.textContent,10)+parseInt(btn.dataset.d,10);\n      if(v<0)v=0;\n      target.textContent=String(v);\n    });\n  });\n})();\n</script>\n{{CONTROLS}}\n<div class="cols pc">\n<div><div class="cap">Vấn đề</div><ul class="pr"><li>Năm group cuộn dọc, không mục lục.</li><li>Sandbox khoá bằng <b>mật khẩu hard-code</b> (<code>settings_dialog.py:115</code>).</li><li>Provider/Ngôn ngữ/Giao diện ở top bar, tách khỏi Settings.</li></ul></div>\n<div><div class="cap">Thay đổi</div><ul class="pr"><li>Thêm cột mục lục bên trái; gom Ngôn ngữ/Giao diện vào nhóm Chung (AI Provider vẫn là nhóm riêng như hiện tại, không gộp).</li><li>Đổi cách hiển thị field theo đúng loại dữ liệu: checkbox ☑/☐ → toggle switch, dropdown ít lựa chọn (2–4 giá trị) → segmented control, số nhập tay → stepper, 3 nhóm con trong Tham số → gom thành card — vẫn đúng field/giá trị mặc định thật từ <code>ui/settings_dialog.py</code>, chỉ đổi cách trình bày chứ không đổi dữ liệu.</li></ul></div>\n</div></div>',
+    'dialog-task-editor': '<div class="bd">\n<p class="lead">Khai báo tác vụ hẹn giờ: nội dung, lịch lặp, phụ thuộc, thông báo.</p>\n<div class="cap">Hiện tại</div>{{SHOT}}\n<p class="rg"><b>5 nhóm</b>: Cơ bản · Lịch · Đầu vào · Phụ thuộc · Thực thi</p>\n<div class="cap">Đề xuất — bố cục mới</div>\n<p class="mut">Cùng 1 dialog <code>TaskEditorDialog</code> cho cả <b>Thêm task</b> và <b>Sửa task</b> — chỉ đổi tiêu đề (Thêm/Sửa), bố cục dưới đây dùng chung cho cả hai. Layout theo đúng kiểu màn <b>Cài đặt</b>: danh sách 5 nhóm bên trái thay cho 3 tab wizard, đúng 5 <code>QGroupBox</code> thật (không phải 3 bước tự đặt ra).</p>\n<div class="wf" id="taskwf"><div class="main dlg"><div class="ttl">Sửa task</div><div class="r grow"><div class="c w26 pane"><div class="li on" id="tel-basic">Cơ bản<span class="s">tiêu đề · loại chạy · model</span></div><div class="li" id="tel-sched">Lịch<span class="s">chạy 1 lần · lặp lại</span></div><div class="li" id="tel-input">Đầu vào<span class="s">prompt · tệp · liên kết</span></div><div class="li" id="tel-dep">Phụ thuộc<span class="s">task kế tiếp · chờ hoàn tất</span></div><div class="li" id="tel-exec">Thực thi<span class="s">thử lại · timeout · phê duyệt</span></div><div class="grow"></div></div><div class="c grow"><div id="tep-basic"><div class="frow"><span class="lbl">Chế độ</span><div class="grow"></div><div class="seg" id="tsk-mode"><span class="on" data-v="normal">Bình thường</span><span data-v="automation">Tự động</span></div></div><div class="lbl">Tiêu đề</div><div class="inp">Gửi báo cáo doanh thu hằng ngày 08:00</div><div class="lbl">Mô tả</div><div class="inp tall">Gom số liệu ngày hôm trước, dựng bảng và gửi email cho nhóm kế toán. <span class="s">✨ Sinh prompt từ mô tả</span></div><div class="lbl">Project</div><div class="inp">Báo cáo tài chính Q3</div><div class="frow"><span class="lbl">Loại chạy</span><div class="grow"></div><div class="seg" id="tsk-runkind"><span class="on" data-v="agent">AI Agent</span><span data-v="flow">Co4E Flow</span></div></div><div class="lbl">Nhà cung cấp</div><div class="inp">Ollama (local models)</div><div class="lbl">Model</div><div class="inp">qwen2.5-coder:7b <span class="s">⭳ Tải model</span></div><div class="lbl">Skill</div><div class="inp">(Không dùng)</div><div class="lbl">Ưu tiên</div><div class="inp">medium</div><div class="lbl">Trạng thái</div><div class="inp">backlog</div></div><div id="tep-sched" class="hide"><div class="frow"><span class="lbl">Bật lịch chạy</span><div class="grow"></div><div class="tsw on"><i></i></div></div><div class="lbl">Thời điểm chạy</div><div class="inp">2026-08-17 08:00 AM</div><div class="lbl">Lặp lại</div><div class="inp">Hằng ngày</div><div class="lbl">Cron (khi lặp = tuỳ chỉnh)</div><div class="inp">0 8 * * * <span class="s">— chọn mẫu có sẵn</span></div><div class="frow"><span class="lbl">Chỉ ngày làm việc (bỏ T7/CN)</span><div class="grow"></div><div class="tsw"><i></i></div></div><div class="frow"><span class="lbl">Bỏ qua ngày nghỉ lễ</span><div class="grow"></div><div class="tsw on"><i></i></div></div><div class="lbl">Mã quốc gia lễ</div><div class="inp">VN</div><div class="frow"><span class="lbl">Kênh thông báo</span><div class="grow"></div><div class="seg" id="tsk-notify"><span class="on" data-v="none">Không</span><span data-v="teams">Teams</span><span data-v="outlook">Outlook</span></div></div><div class="lbl">Email nhận thông báo</div><div class="inp">ketoan@company.com</div></div><div id="tep-input" class="hide"><div class="lbl">Prompt thủ công</div><div class="inp tall">Tổng hợp số liệu doanh thu ngày hôm trước từ file đính kèm, dựng bảng tóm tắt.</div><div class="lbl">Tệp đính kèm</div><div class="li">📄 sales_template.xlsx</div><div class="li">📄 Q3_report_outline.docx</div><div class="r tb"><div class="btn">+ Thêm tệp</div><div class="btn">🗑 Xoá</div></div><div class="lbl">Liên kết</div><div class="li">🔗 https://intranet.company.com/sales-dashboard</div><div class="r tb"><div class="btn">+ Thêm liên kết</div><div class="btn">🗑 Xoá</div></div></div><div id="tep-dep" class="hide"><div class="lbl">Task kế tiếp</div><div class="inp">(Không có)</div><div class="lbl">Chế độ chạy tiếp</div><div class="inp">Không tự động chạy tiếp</div><div class="frow"><span class="lbl">Dùng output làm input task sau</span><div class="grow"></div><div class="tsw"><i></i></div></div><div class="lbl">Chờ các task này xong (fan-in)</div><div class="li">☑ Gom số liệu doanh thu</div><div class="li">☐ Dựng slide trình bày Q3</div></div><div id="tep-exec" class="hide"><div class="lbl">Số lần thử lại</div><div class="inp">0 lần</div><div class="lbl">Timeout</div><div class="inp">600 giây</div><div class="frow"><span class="lbl">Cần phê duyệt (chờ bấm Chạy ngay)</span><div class="grow"></div><div class="tsw"><i></i></div></div></div><div class="grow"></div><div class="r tb end"><div class="btn">Huỷ</div><div class="btn pri">Lưu</div></div></div></div></div></div>\n<script>\n(function(){\n  var panels=[\'basic\',\'sched\',\'input\',\'dep\',\'exec\'];\n  panels.forEach(function(p){\n    document.getElementById(\'tel-\'+p).addEventListener(\'click\',function(){\n      panels.forEach(function(q){\n        document.getElementById(\'tel-\'+q).classList.toggle(\'on\',q===p);\n        document.getElementById(\'tep-\'+q).classList.toggle(\'hide\',q!==p);\n      });\n    });\n  });\n  Array.prototype.forEach.call(document.querySelectorAll(\'#taskwf .tsw\'),function(t){\n    t.addEventListener(\'click\',function(){t.classList.toggle(\'on\');});\n  });\n  Array.prototype.forEach.call(document.querySelectorAll(\'#taskwf .seg\'),function(seg){\n    Array.prototype.forEach.call(seg.querySelectorAll(\'span\'),function(s){\n      s.addEventListener(\'click\',function(){\n        Array.prototype.forEach.call(seg.querySelectorAll(\'span\'),function(x){x.classList.remove(\'on\');});\n        s.classList.add(\'on\');\n      });\n    });\n  });\n})();\n</script>\n{{CONTROLS}}\n<div class="cols pc">\n<div><div class="cap">Vấn đề</div><ul class="pr"><li><b>Năm group</b> dọc — form dài nhất app, không thấy đang ở bước nào.</li></ul></div>\n<div><div class="cap">Thay đổi</div><ul class="pr"><li>Đổi sang layout <b>danh sách bên trái + panel bên phải</b> giống màn Cài đặt (thay vì chia tab) — 5 mục danh sách khớp đúng 5 <code>QGroupBox</code> thật (<b>Cơ bản · Lịch · Đầu vào · Phụ thuộc · Thực thi</b>, xem <code>ui/task_editor_dialog.py</code>), luôn thấy đang ở nhóm nào và còn bao nhiêu nhóm nữa — nhất quán với cách điều hướng ở Cài đặt thay vì mỗi màn một kiểu.</li></ul></div>\n</div></div>',
+}
+
+EXTRA_CSS = '.embed{width:100%;height:760px;border:1px solid var(--bd);border-radius:var(--r);\nbackground:#fff;display:block}\np.hint{margin:4px 0 8px}\n.wf .acct{margin-top:6px;padding:6px 7px;border-top:1px solid var(--navb);color:var(--mut);font-size:10px}\npadding:6px 8px;color:var(--tx);height:26px;box-sizing:border-box;overflow:hidden}\n.wf .inp.tall{min-height:52px;height:auto}\npadding:4px 9px;white-space:nowrap;align-self:center;height:26px;box-sizing:border-box;\ndisplay:inline-flex;align-items:center;justify-content:center;line-height:1}\n/* ---- section-10 interactive-preview vocabulary: literal palette from 10SuKienBaoMat.html ---- */\n.wf .kpi2{flex:1;background:var(--rz);border:1px solid var(--bd);border-radius:6px;padding:7px 9px;display:flex;align-items:center;gap:7px;min-width:0}\n.wf .kpi2 b{font-size:15px;display:block;line-height:1.2}\n.wf .ic{width:20px;height:20px;border-radius:5px;flex:none;display:flex;align-items:center;justify-content:center;font-size:10px}\n.wf .ic.blue{background:#DEECF9;color:#0078D4}.wf .ic.grn{background:#DFF6DD;color:#107C10}\n.wf .ic.red{background:#FDE7E9;color:#D13438}.wf .ic.pur{background:#F3E8FD;color:#8764B8}\n.wf .ic.amb{background:#FFF4CE;color:#795548}.wf .ic.gry{background:#F3F2F1;color:#605E5C}\n.wf .pill{display:inline-block;padding:2px 8px;border-radius:99px;font-size:9px;font-weight:700;white-space:nowrap}\n.wf .pill.red{background:#FDE7E9;color:#D13438}.wf .pill.grn{background:#E4F7C7;color:#498205}\n.wf .pill.teal{background:#D2F0EE;color:#008272}.wf .pill.org{background:#FDE6D9;color:#DA3B01}\n.wf .pill.blue{background:#DEECF9;color:#0078D4}.wf .pill.amb{background:#FFF4CE;color:#795548}\n.wf .pill.pur{background:#F3E8FD;color:#8764B8}.wf .pill.gry{background:#F3F2F1;color:#605E5C}\n.wf .r.wrap{flex-wrap:wrap}\n.wf .av{display:inline-flex;width:16px;height:16px;border-radius:50%;flex:none;align-items:center;\njustify-content:center;font-size:7px;font-weight:700;color:#fff;margin-right:4px}\n.wf .av.red{background:#D13438}.wf .av.blue{background:#0078D4}\n.wf .av.pur{background:#8764B8}.wf .av.grn{background:#107C10}.wf .av.amb{background:#FFB900}\n.wf .av.teal{background:#008272}.wf .av.dark{background:#24292F}.wf .av.olv{background:#498205}\n.wf .tblwrap{overflow-y:auto;overflow-x:hidden}\n.wf .evtbl{width:100%;border-collapse:collapse;font-size:9.5px}\n.wf .evtbl thead{position:sticky;top:0;background:var(--bg)}\n.wf .evtbl th{text-align:left;padding:4px 6px;color:var(--fnt);font-weight:700;text-transform:uppercase;\nfont-size:8px;letter-spacing:.04em;border-bottom:1px solid var(--bd);white-space:nowrap;cursor:default}\n.wf .evtbl td{padding:4px 6px;border-bottom:1px solid var(--bd);white-space:nowrap;vertical-align:middle}\n.wf .evtbl td.dt{white-space:normal;color:var(--fnt)}\n.wf .evtbl tbody tr{cursor:pointer}.wf .evtbl tbody tr:hover{background:var(--sf)}\n.wf .pane.hide{display:none}\n.wf .hide{display:none}\n/* ---- Settings field-display alternatives (toggle switch / stepper) ---- */\n.wf .tsw{display:inline-flex;align-items:center;width:32px;height:17px;border-radius:99px;\nbackground:var(--bds);position:relative;cursor:pointer;flex:none;transition:background .15s}\n.wf .tsw i{position:absolute;top:2px;left:2px;width:13px;height:13px;border-radius:50%;\nbackground:#fff;transition:left .15s;box-shadow:0 1px 2px rgba(0,0,0,.25)}\n.wf .tsw.on{background:var(--ac)}\n.wf .tsw.on i{left:17px}\n.wf .stp{display:inline-flex;align-items:center;border:1px solid var(--bds);border-radius:4px;\noverflow:hidden;height:26px;box-sizing:border-box;flex:none}\n.wf .stp .sb{width:22px;height:100%;display:flex;align-items:center;justify-content:center;\nbackground:var(--rz);cursor:pointer;font-weight:700;color:var(--tx);user-select:none}\n.wf .stp .sb:hover{background:var(--sf)}\n.wf .stp .sv{padding:0 10px;min-width:44px;text-align:center;font-weight:600;background:var(--bg);\nheight:100%;display:flex;align-items:center;justify-content:center;\nborder-left:1px solid var(--bds);border-right:1px solid var(--bds)}\n.wf .frow{display:flex;align-items:center;gap:6px;min-height:0;padding:2px 0}\n.wf .seg{display:inline-flex;border:1px solid var(--bds);border-radius:4px;overflow:hidden;flex:none}\n.wf .seg span{background:var(--bg);color:var(--mut);padding:3px 10px;cursor:pointer;font-size:10px;white-space:nowrap}\n.wf .seg span.on{background:var(--ac);color:#fff;font-weight:600}\n.wf .pane.overlay{position:absolute;top:0;right:0;bottom:0;width:38%;z-index:5;\nbackground:var(--bg);border-left:1px solid var(--bd);box-shadow:-6px 0 14px rgba(0,0,0,.18)}\n.wf .dtl{padding:2px 0 0}\n.wf .dtl.grow{overflow-y:auto}\n.wf .pnlfoot{border-top:1px solid var(--bd);flex:none;padding-top:6px}\n#s10close{cursor:pointer}\n#s11close{cursor:pointer}\n.wf .dtl .hd3{font-size:8px;font-weight:700;text-transform:uppercase;letter-spacing:.05em;color:var(--fnt);\npadding-bottom:3px;margin:8px 0 3px;border-bottom:1px solid var(--bd)}\n.wf .dtl .hd3:first-child{margin-top:0}\n.wf .dtl .fld{display:flex;justify-content:space-between;align-items:center;padding:3px 0;gap:6px}\n.wf .dtl .fld .lbl{color:var(--mut)}\n.wf .dtl .fld .val{font-weight:600;text-align:right}\n.wf .dtl .mono{font-family:"Cascadia Code",Consolas,monospace;background:var(--sf);border:1px solid var(--bd);\nborder-radius:3px;padding:1px 6px;font-size:9px;font-weight:400}\n.wf .dtl .tagn{background:var(--sf);border-radius:3px;padding:1px 7px;font-size:9px;font-weight:400}\n.wf .dtl .code{background:#1b1a19;color:#CCFF00;font-family:"Cascadia Code",Consolas,monospace;\nfont-size:9px;padding:6px 8px;border-radius:4px;margin:4px 0;display:flex;align-items:center;\njustify-content:space-between;gap:6px}\n.wf .dtl .code .cpy{background:rgba(255,255,255,.15);color:#fff;border-radius:3px;padding:2px 6px;\nfont-size:8px;white-space:nowrap;flex:none;cursor:pointer}\n.wf select.btn{appearance:none;-webkit-appearance:none;font:inherit;color:inherit;padding-right:16px;cursor:pointer;\nbackground-image:url("data:image/svg+xml,%3Csvg xmlns=\'http://www.w3.org/2000/svg\' width=\'8\' height=\'8\' viewBox=\'0 0 10 10\'%3E%3Cpath d=\'M1 3.5L5 7.5L9 3.5\' stroke=\'%23888\' stroke-width=\'1.5\' fill=\'none\' stroke-linecap=\'round\'/%3E%3C/svg%3E");\nbackground-repeat:no-repeat;background-position:right 4px center}\n.wf input.inp{font:inherit;color:inherit;outline:none;width:100%}\n.wf .srchwrap{position:relative;display:flex;align-items:center;min-width:0}\n.wf .srchwrap .inp{padding-right:48px}\n.wf .srchwrap .aibtn{position:absolute;right:3px;top:50%;transform:translateY(-50%);cursor:pointer;\nline-height:1;padding:5px 10px;border-radius:4px;font-size:11px}\n.wf .edge{background:var(--sf);border:1px solid var(--bds);border-right:none;border-radius:5px 0 0 5px;padding:14px 5px;color:var(--mut)}\n.wf .aibadge{background:#E6F6F4;border:1px solid #7FD0C4;border-radius:6px;padding:7px 11px;font-weight:700;color:#0F6E62;white-space:nowrap}\n.wf .dock.badge{background:#E6F6F4;border:1px solid #7FD0C4;border-radius:6px;padding:7px 11px;font-weight:700;color:#0F6E62;white-space:nowrap}\n.wf .dock.pnl{width:74%;height:76%;background:var(--sf);border:1px solid var(--bds);border-radius:6px;box-shadow:0 3px 10px rgba(16,32,64,.13)}\n.wf .edge{background:var(--sf);border:1px solid var(--bds);border-right:none;border-radius:5px 0 0 5px;padding:14px 5px;color:var(--mut)}\n.wf .aibadge{background:#E6F6F4;border:1px solid #7FD0C4;border-radius:6px;padding:7px 11px;font-weight:700;color:#0F6E62;white-space:nowrap}\n.wf .dock .badge{background:#E6F6F4;border:1px solid #7FD0C4;border-radius:6px;\n/* Menu ⋯ trong panel tro ly — ghep tu ui-audit.html */\n/* Chấm trợ lý 26px — ghép từ ui-audit.html */'
+
+EXTRA_JS = [
+]
diff --git a/tools/build_audit_page.py b/tools/build_audit_page.py
new file mode 100644
index 0000000..eb3746c
--- /dev/null
+++ b/tools/build_audit_page.py
@@ -0,0 +1,1599 @@
+"""Generate docs/ui-audit.html — the UI/UX audit page.
+
+Reads docs/screens/manifest.json (produced by tools/capture_screens.py) and
+emits one section per captured screen: the CURRENT screenshot on top, the
+PROPOSED wireframe below, plus the problems found and what changes.
+
+Driven by the manifest so a screen can never be silently dropped: anything in
+the manifest without an entry in ANALYSIS still gets a section, flagged as
+"chưa phân tích".
+
+Run:  python tools/build_audit_page.py
+"""
+from __future__ import annotations
+
+import base64
+import json
+import sys
+from datetime import datetime
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+DOCS = REPO / "docs"
+MANIFEST = DOCS / "screens" / "manifest.json"
+OUT = DOCS / "ui-audit.html"
+
+# Eight sections were written by hand and are richer than anything this script
+# produces. They live in a data module (rebuilt by tools/extract_handwritten.py)
+# and are merged in below, so ui-audit.html stays the ONE output file instead of
+# a generated file plus a hand-edited copy that drift apart.
+try:
+    from audit_handwritten import EXTRA_CSS as HAND_CSS
+    from audit_handwritten import EXTRA_JS as HAND_JS
+    from audit_handwritten import SECTIONS as HAND_SECTIONS
+except ImportError:                                          # pragma: no cover
+    sys.path.insert(0, str(REPO / "tools"))
+    from audit_handwritten import EXTRA_CSS as HAND_CSS
+    from audit_handwritten import EXTRA_JS as HAND_JS
+    from audit_handwritten import SECTIONS as HAND_SECTIONS
+
+# Screenshots are inlined as data: URIs so the page is ONE self-contained file —
+# copy it anywhere and the images travel with it. `--external` opts out, leaving
+# the images as `screens/*.png` next to a much smaller HTML.
+STANDALONE = "--external" not in sys.argv
+
+# --------------------------------------------------------------------------
+# Per-screen analysis. `wf` is a wireframe of the PROPOSED layout, built from
+# the tiny class vocabulary defined in CSS below (.r=row, .c=col, .b=box …).
+# --------------------------------------------------------------------------
+
+# Wireframes carry the SAME demo content as the screenshots above them, so the
+# two can be compared like-for-like instead of "real app vs empty boxes".
+#
+# RECENTS is SCOPED TO THE ACTIVE PROJECT, matching today's behaviour: history is
+# stored inside the project's own folder (config.py:590 → workspace_tab.py:453)
+# and the sidebar groups threads per project (sidebar.py:193). A flat, global
+# recents list would silently drop both — a regression, not a simplification.
+RECENTS = ["📌 Gom số liệu doanh thu", "Dựng slide trình bày Q3"]
+
+
+# Floating on every screen, pinned bottom-right — same corner as the app.
+# The app spends 84×64px there: a 64px badge plus an 18px chevron beside it
+# (help_agent_widget.py:34-37). That is a lot of permanent real estate for a
+# thing you open a few times a day, so the proposal is one 26px dot. The label
+# moves to hover/tooltip and to the panel header; nothing is removed.
+DOCK_FAB = ('<div class="dock fab" title="AI Assistant — trợ lý cách dùng app">'
+            '<span class="spark">✨</span></div>')
+DOCK_BADGE = DOCK_FAB          # name kept: 16 screens already reference it
+
+
+def rail(active: str = "", project: str = "Báo cáo tài chính Q3",
+         *, empty: bool = False) -> str:
+    """The proposed flat sidebar, with `active` highlighted.
+
+    `empty=True` renders the no-project state. Running the app with zero
+    projects shows Cowork and GraphRAG simply *gone* from the menu; here they
+    stay put but dimmed, and the actions that need a project are disabled with
+    a reason rather than vanishing.
+    """
+    items = ["Project", "Cowork", "Co4E", "Folder", "GraphRAG", "Schedule Task"]
+    needs_project = {"Cowork", "GraphRAG"}
+    rows = "".join(
+        f'<div class="i{" on" if n == active else ""}'
+        f'{" off" if empty and n in needs_project else ""}">{n}</div>'
+        for n in items)
+    if empty:
+        return ('<div class="rail">'
+                '<div class="menutog"><span>MENU</span><span class="chev">‹</span></div>'
+                '<div class="rpick empty"><span>Chưa có project</span>'
+                '<span class="cv">▾</span></div>'
+                '<div class="newbtn off">+ Đoạn chat mới</div>'
+                '<div class="hint">Tạo project trước</div>'
+                f'{rows}'
+                '<div class="sep"></div><div class="hd">RECENTS</div>'
+                '<div class="i sm off">trống</div>'
+                '<div class="grow"></div><div class="sep"></div>'
+                '<div class="i">Dashboard</div><div class="i">Monitoring</div>'
+                '<div class="i">Cài đặt</div>'
+                '<div class="acct"><span>👤 local</span>'
+                '<span class="lang">VN ▾</span><span class="thm">🌙</span></div></div>')
+    recents = "".join(f'<div class="i sm">{t}</div>' for t in RECENTS)
+    return (
+        '<div class="rail">'
+        # The app already collapses the rail to icons only (150px ↔ 54px,
+        # app.py:409). Keep the control and keep it where it is.
+        '<div class="menutog"><span>MENU</span><span class="chev">‹</span></div>'
+        f'<div class="rpick"><span>📁 {project}</span><span class="cv">▾</span></div>'
+        '<div class="newbtn">+ Đoạn chat mới</div>'
+        f'{rows}'
+        '<div class="sep"></div>'
+        '<div class="hd">RECENTS</div>'
+        f'<div class="scope">📁 {project}</div>'
+        f'{recents}'
+        '<div class="i sm allp">Tất cả project…</div>'
+        '<div class="grow"></div>'
+        '<div class="sep"></div>'
+        '<div class="i">Dashboard</div><div class="i">Monitoring</div>'
+        '<div class="i">Cài đặt</div>'
+        '<div class="acct"><span>👤 local</span>'
+        '<span class="lang">VN ▾</span><span class="thm">🌙</span></div>'
+        '</div>')
+
+
+def rail_collapsed() -> str:
+    """The rail after the MENU button folds it to icons only (54px)."""
+    icons = ["▣", "▤", "◫", "⌥", "◈", "▦"]
+    rows = "".join(f'<div class="i ic{" on" if i == 1 else ""}">{g}</div>'
+                   for i, g in enumerate(icons))
+    return ('<div class="rail narrow">'
+            '<div class="menutog"><span class="chev">›</span></div>'
+            '<div class="newbtn ic">+</div>'
+            f'{rows}<div class="grow"></div>'
+            '<div class="i ic">◔</div><div class="i ic">◕</div>'
+            '<div class="acct ic">👤</div></div>')
+
+
+def projbar(name: str = "") -> str:
+    """Deprecated: the project picker moved into the sidebar (see `rail`).
+
+    It scopes ctx.active_project_id — global app state (state.py:60) — so a bar
+    inside each screen's content area wrongly implied it was per-screen, and left
+    it far from the "+ Đoạn chat mới" button it governs.
+    """
+    return ""
+
+
+def grp(label: str, action: str = "", *, collapse: str = "") -> str:
+    """A list-group heading, optionally with its own create/manage button.
+
+    Putting "+" beside WORKFLOWS (and beside AGENTS) is what replaces the "＋"
+    that used to live on the flow tab strip: removing the strip removed its
+    button too, and the create action has to land somewhere explicit.
+    """
+    chev = {"left": "‹", "right": "›"}.get(collapse, "")
+    tail = f'<span class="pchev">{chev}</span>' if chev else ""
+    act = f'<span class="gact">{action}</span>' if action else ""
+    return f'<div class="hd2 row">{label}<span class="ghd">{act}{tail}</span></div>'
+
+
+def li(text: str, sub: str = "", *, on: bool = False) -> str:
+    """One row in a list pane."""
+    s = f'<span class="s">{sub}</span>' if sub else ""
+    return f'<div class="li{" on" if on else ""}">{text}{s}</div>'
+
+
+def card(title: str, meta: str) -> str:
+    """One Kanban card."""
+    return f'<div class="card">{title}<span class="s">{meta}</span></div>'
+
+
+# --------------------------------------------------------------------------
+# What each screen IS. `d` = one-paragraph purpose; `r` = the regions visible in
+# the screenshot, left→right / top→bottom, so a reader can map the picture.
+# --------------------------------------------------------------------------
+DESCRIPTIONS: dict[str, dict] = {
+    "dashboard": {"d": "Token đã tiêu và chi phí quy ra tiền, theo kỳ.",
+        "r": [("Header", "kỳ · granularity · metric · tiền tệ"),
+              ("6 thẻ", "Total · In · Out · Cache · Cost · Ngân sách"),
+              ("Biểu đồ", "spline + đường so sánh kỳ trước"), ("Thói quen", "top task tốn token")]},
+    "schedule-kanban": {"d": "Kanban các tác vụ hẹn giờ. Bộ lập lịch chạy nền dù màn này đóng.",
+        "r": [("Lane", "một cột mỗi trạng thái"),
+              ("Thẻ", "kéo đổi lane · double-click sửa · chuột phải: Chạy ngay / Lịch sử")]},
+    "schedule-calendar": {"d": "Cùng dữ liệu Kanban, xếp theo ngày.",
+        "r": [("Ô ngày", "nút + tạo task lúc 09:00 ngày đó")]},
+    "workspace-project": {"d": "Khai báo project — đơn vị gom nhóm của app. Mỗi project có sandbox riêng "
+        "và Instructions chèn vào mọi chat. Đây là <b>bộ chọn project duy nhất</b>.",
+        "r": [("Trái", "danh sách project — chỉ hiện ở tab này"),
+              ("Phải", "Tên · Mô tả · Instructions · thư mục")]},
+    "workspace-cowork": {"d": "Chat với agent. Agent đọc/ghi tệp trong sandbox, chạy lệnh, gọi MCP.",
+        "r": [("Lịch sử", "chat gom theo project; nhãn đậm = tên project, <b>chỉ là nhãn</b>"),
+              ("Hội thoại", "bong bóng theo trục thời gian"), ("Files", "tệp đầu ra, gập được"),
+              ("Composer", "Enter gửi · /skill · /agent"),
+              ("Hàng dưới", "thư mục sandbox (chỗ thứ 2 lộ project) · model · Định tuyến · Tự chạy")]},
+    "workspace-co4e": {"d": "Xưởng dựng workflow node-graph. Lưu toàn cục, không theo project.",
+        "r": [("Sidebar", "3 tab icon: Workflows · Agents · Skills — kéo thả được"),
+              ("Dải tab", "Flow Status ghim + mỗi workflow một tab"), ("Canvas", "node và cạnh"),
+              ("Phải", "cấu hình bước đang chọn")]},
+    "workspace-folder": {"d": "Duyệt tệp + nhờ AI sửa. AI <b>không ghi đè</b> — đề xuất diff, bấm Apply mới ghi.",
+        "r": [("Cây trái", "hệ thống tệp thật"), ("Viewer", "code / HTML / PDF / ảnh / bảng tính"),
+              ("Panel AI", "yêu cầu → plan → diff → Apply"), ("Terminal", "shell thật, không qua sandbox")]},
+    "workspace-graphrag": {"d": "Đồ thị tri thức về cấu trúc mã/tài liệu + agent hỏi đáp trên đó.",
+        "r": [("Đồ thị", "node theo loại, cạnh có nhãn quan hệ"), ("Phải", "hỏi đáp dựa trên đồ thị")]},
+    "monitoring-tổng-quan": {"d": "Chi phí, tài nguyên máy, sandbox, nhật ký gần đây.",
+        "r": [("Trái", "Token & chi phí · Hoạt động · Tài nguyên · Bảng giá model"),
+              ("Phải", "Sandbox · Quyền · Audit log")]},
+    "monitoring-sự-kiện-bảo-mật": {"d": "Nhật ký lần agent chạm thứ nhạy cảm: lệnh bị chặn, truy cập ngoài sandbox.",
+        "r": [("Ô lọc", "có nút ✨ biến câu hỏi thành từ khoá")]},
+    "monitoring-lịch-sử-gọi-mcp": {"d": "Mọi lần agent gọi MCP server ngoài.",
+        "r": [("Bảng", "không có ô lọc như 2 màn log kia — khác biệt không chủ đích")]},
+    "monitoring-nhật-ký-hành-động": {"d": "Nhật ký cấp ứng dụng: ai đổi cấu hình, ai chạy task.", "r": []},
+    "monitoring-trạng-thái-agent": {"d": "Agent nào đang bật và nguồn định nghĩa.", "r": []},
+    "monitoring-agents-admin": {"d": "Quản trị agent hệ thống. Cũng là nơi chọn model cho robot trợ giúp.",
+        "r": [("Nút Kiểm tra", "probe provider thật")]},
+    "monitoring-công-cụ": {"d": "Bật/tắt công cụ dựng sẵn và khai báo kết nối ngoài. "
+        "Màn <b>duy nhất</b> còn hiện dải tab bên trong.",
+        "r": [("Tool", "công cụ dựng sẵn + tự kiểm tra Internet"), ("Connector", "MCP · REST · MS365 · Jira")]},
+    "monitoring-icon": {"d": "Thư viện icon, dùng lại khi đặt icon cho agent Co4E.", "r": []},
+    "dialog-settings": {"d": "Thiết lập toàn app. Cuộn dọc, không mục lục.",
+        "r": [("5 nhóm", "Ngôn ngữ · Provider · Bảo mật (khoá mật khẩu) · Tham số · Routing")]},
+    "dialog-task-editor": {"d": "Khai báo tác vụ hẹn giờ: nội dung, lịch lặp, phụ thuộc, thông báo.",
+        "r": [("5 nhóm", "Cơ bản · Lịch · Đầu vào · Phụ thuộc · Thực thi")]},
+    "dialog-skills": {"d": "Quản lý skill — khối hướng dẫn tái dùng, gõ <code>/skill</code> để chèn.",
+        "r": [("Ô tick", "chính là bật/tắt skill")]},
+    "dialog-skill-edit": {"d": "Soạn skill: tên, mô tả, hướng dẫn.",
+        "r": [("✨", "sinh hướng dẫn từ mô tả ngắn")]},
+    "dialog-file-edit": {"d": "Xem và nhờ AI sửa tệp, mở từ panel Files trong chat.",
+        "r": [("Tệp nhị phân", "trích văn bản, chỉ đọc"), ("Lưu", "tạo .bak trước khi ghi")]},
+    "dialog-co4e-agent": {"d": "Định nghĩa agent Co4E: tính cách, quyền, model, skill.", "r": []},
+    "dialog-ext-connector": {"d": "Khai báo kết nối ngoài, 2 chế độ.",
+        "r": [("MCP (stdio)", "lệnh + tham số"), ("REST", "URL · key · header"), ("Test", "thử kết nối thật")]},
+    "dialog-permission": {"d": "Chốt chặn cuối trước khi agent làm việc có hậu quả. "
+        "Bật Tự chạy thì bỏ qua bước này.",
+        "r": [("Xem trước", "lệnh sắp chạy hoặc diff sắp ghi")]},
+    "dialog-agent-edit": {"d": "Soạn agent hệ thống: gắn vào chức năng nào, provider/model gì.", "r": []},
+    "dialog-login": {"d": "Màn đăng nhập — <b>đã dựng xong nhưng không nơi nào gọi</b>. "
+        "App khởi động thẳng với user \“local\”, quyền admin.",
+        "r": [("3 trang", "Khởi tạo · Đăng nhập · Offline")]},
+    "overlay-help-panel": {"d": "Trợ lý dùng app, nổi ở góc phải và có mặt trên mọi màn. "
+        "Cố tình không có công cụ — chỉ hỏi đáp cách dùng.",
+        "r": [("3 trạng thái", "tab mép phải → huy hiệu → panel 340×460, "
+               "<b>luôn ghim góc dưới phải</b>"),
+              ("3 nút", "<b>›</b> ẩn vào cạnh phải · <b>—</b> thu nhỏ về huy hiệu · "
+               "tab mép để hiện lại"),
+              ("Model", "chọn ở Monitoring ▸ Agents Admin, agent chức năng “help”")]},
+}
+
+
+ANALYSIS: dict[str, dict] = {
+    "workspace-project": {
+        "problems": [
+            "<b>Pane trái đổi danh tính theo tab</b> (<code>workspace_tab.py:310-338</code>): "
+            "Project → danh sách project, Cowork → History, còn lại → trống.",
+            "History chỉ tới được từ tab Cowork.",
+            "Bộ chọn project chỉ có ở tab Project.",
+            "2/3 chiều cao dưới là khoảng trống chết.",
+            "Header <i>“Workspace — Projects”</i> hiện ở <b>mọi</b> sub-tab.",
+        ],
+        "changes": [
+            "History lên sidebar thành <b>RECENTS</b>, luôn thấy.",
+            "Thanh chọn project ở đầu trang, dùng chung mọi màn.",
+            "Pane trái cố định, không đổi danh tính.",
+            "Header đổi theo màn.",
+        ],
+        "wf": rail("Project") + (
+            '<div class="main">'
+            + projbar() +
+            '<div class="r tb"><div class="ttl">Quản lý project</div><div class="grow"></div>'
+            '<div class="btn pri">+ Project mới</div></div>'
+            '<div class="r grow">'
+            '<div class="c w32 pane">'
+            '<div class="hd2 row">PROJECT<span class="pchev">‹</span></div>'
+            + li("Trạm sạc EV — Cổng vận hành", "6 đoạn chat · 4 task")
+            + li("Báo cáo tài chính Q3", "2 đoạn chat · 3 task", on=True)
+            + li("Cổng tra cứu tài liệu ISO", "1 đoạn chat · 1 task")
+            + '<div class="grow"></div></div>'
+            '<div class="c grow"><div class="lbl">Tên</div>'
+            '<div class="inp">Báo cáo tài chính Q3</div>'
+            '<div class="lbl">Mô tả</div>'
+            '<div class="inp">Tự động gom số liệu từ Excel phòng ban, dựng bảng tổng hợp và slide.</div>'
+            '<div class="lbl">Instructions</div>'
+            '<div class="inp tall">Đơn vị tiền tệ mặc định VND. Làm tròn tới nghìn đồng.<br>'
+            'Mọi con số phải truy được về file nguồn.</div>'
+            '<div class="lbl">Thư mục làm việc</div>'
+            '<div class="r tb"><div class="inp grow">…\\workspaces\\bao-cao-tai-chinh-q3</div>'
+            '<div class="btn">Đổi</div><div class="btn">Mở</div></div>'
+            '<div class="grow"></div>'
+            '<div class="r tb end"><div class="btn pri">Lưu project</div></div>'
+            '</div></div></div>'),
+    },
+    "workspace-cowork": {
+        "problems": [
+            "Hàng dưới composer nhồi 5 control + usage/cost + nút thư mục "
+            "(<code>chat_panel.py:142-181</code>).",
+            "Không có lối tắt “chat mới” — phải chọn project → mở nav → Cowork.",
+            "<b>Màn duy nhất thấy được History.</b>",
+            "Ba pane bóp vùng đọc hội thoại còn chưa tới 60% bề ngang.",
+            "<b>Biết project nào, nhưng không đổi được.</b> Project hiện ở 2 chỗ (nhãn nhóm Lịch sử, "
+            "nhãn thư mục đáy) — cả hai chỉ là nhãn. Đổi phải quay về tab Project "
+            "(<code>workspace_tab.py:323</code>).",
+        ],
+        "changes": [
+            "<b>Bộ chọn project lên sidebar</b> — nó là trạng thái toàn cục "
+            "(<code>ctx.active_project_id</code>), không phải của riêng màn nào.",
+            "<b>Bộ chọn project + nút “+ Đoạn chat mới” đặt cạnh nhau</b> ở đầu sidebar: "
+            "chọn project rồi bấm, không rời màn. Nút cũ trên toolbar <b>giữ nguyên</b>.",
+            "History lên sidebar, <b>vẫn gom theo project</b> + mục “Tất cả project…”.",
+            "Usage/cost xuống thanh trạng thái; vùng gõ chỉ còn nhập · đính kèm · gửi.",
+        ],
+        "wf": rail("Cowork") + (
+            '<div class="main">'
+            + projbar() +
+            '<div class="r tb"><div class="ttl">Gom số liệu doanh thu</div>'
+            '<div class="s">qwen2.5-coder</div>'
+            '<div class="grow"></div><div class="btn">Skills</div>'
+            '<div class="btn">Cuộc trò chuyện mới</div></div>'
+            # Files pane kept — the app has it, collapsible, and it is where
+            # "Xem & sửa bằng AI" is reached from.
+            '<div class="r grow"><div class="c grow chat">'
+            '<div class="msg u">Có 6 file Excel trong thư mục input, gom lại thành 1 bảng '
+            'tổng hợp giúp mình.</div>'
+            '<div class="msg a">Đã đọc cả 6 file. Lưu ý: <b>PB_Marketing.xlsx</b> để cột “Doanh thu” '
+            'ở cột F thay vì D và có 3 dòng trống ở cuối.<br><br>'
+            'Mình đã chuẩn hoá và xuất <b>tonghop_q3.xlsx</b> — 1.284 dòng, tổng 42.7 tỷ VND.</div>'
+            '<div class="grow"></div></div>'
+            '<div class="c w22 pane"><div class="hd2 row">TỆP ĐẦU RA (3)'
+            '<span class="pchev">›</span></div>'
+            + li("tonghop_q3.xlsx") + li("BaoCao_Q3.pptx") + li("README.md")
+            + '<div class="grow"></div></div></div>'
+            '<div class="r tb"><div class="inp grow">Nhập yêu cầu…  (Enter để gửi)</div>'
+            '<div class="btn">📎</div><div class="btn pri">Gửi</div></div>'
+            '<div class="stat">Agent: qwen2.5-coder · Định tuyến: Tắt &nbsp;·&nbsp; '
+            '↓292.8K ↑102.7K · $0.31 &nbsp;·&nbsp; 📁 bao-cao-tai-chinh-q3</div>'
+            '</div>'),
+    },
+    "workspace-co4e": {
+        "problems": [
+            "<b>Bốn lớp điều hướng chồng nhau</b>: nav → tab icon sidebar → dải tab flow → panel phải.",
+            "Dải tab flow lặp lại danh sách Workflows ngay bên trái.",
+            "Panel cấu hình 11 trường dọc, phải cuộn.",
+        ],
+        "changes": [
+            "Bỏ dải tab flow; chọn workflow từ danh sách trái.",
+            "3 tab icon → 3 mục có nhãn cùng danh sách.",
+            "Còn <b>2 lớp</b>: chọn trái → sửa phải.",
+        ],
+        "wf": rail("Co4E") + (
+            '<div class="main">'
+            + projbar() +
+            '<div class="r tb"><div class="ttl">Quy trình phát triển tính năng</div>'
+            '<div class="grow"></div><div class="btn">+ Bước</div><div class="btn">Auto ▾</div>'
+            '<div class="btn pri">▷ Chạy</div></div>'
+            '<div class="r grow">'
+            '<div class="c w26 pane">'
+            + grp("WORKFLOWS", "+ Mới", collapse="left")
+            + li("Quy trình phát triển tính năng", "5 bước · đã lưu", on=True)
+            + li("Rà soát bảo mật định kỳ", "2 bước · đã lưu")
+            + li("Dựng báo cáo từ Excel", "3 bước · đã lưu")
+            + grp("AGENTS (5)", "+ Mới")
+            + li("Phân tích yêu cầu", "ANALYST") + li("Thiết kế giải pháp", "ARCHITECT")
+            + li("Lập trình viên", "CODER") + li("Kiểm thử", "TESTER")
+            + li("Soạn tài liệu", "WRITER")
+            + grp("SKILLS (5)", "Quản lý…")
+            + li("Rà soát bảo mật · Viết test trước · Chuẩn hoá Excel · …")
+            + grp("LẦN CHẠY (6)")
+            + li("✓ Quy trình phát triển", "5/5 · 08-08 15:32")
+            + li("✕ Rà soát bảo mật", "3/5 · 08-06 16:32")
+            + li("■ Dựng báo cáo từ Excel", "1/5 · 08-04 18:32")
+            + '<div class="grow"></div>'
+            '<div class="r tb"><div class="btn">✎</div><div class="btn">⧉</div>'
+            '<div class="btn">🗑</div><div class="btn grow">▷ Chạy nền</div></div></div>'
+            '<div class="c grow"><div class="b canvas grow">'
+            '<div class="node ok">Phân tích yêu cầu</div><div class="arw">→</div>'
+            '<div class="node ok">Thiết kế</div><div class="arw">→</div>'
+            '<div class="node run">Lập trình viên</div><div class="arw">→</div>'
+            '<div class="node">Kiểm thử</div></div></div>'
+            '<div class="c w26 pane"><div class="hd2 row">CẤU HÌNH BƯỚC<span class="pchev">›</span></div>'
+            '<div class="li">▾ Cơ bản<span class="s">Lập trình viên · CODER</span></div>'
+            '<div class="inp">Hiện thực theo thiết kế. Viết test trước khi sửa logic nghiệp vụ.</div>'
+            '<div class="li">▸ Model &amp; quyền<span class="s">qwen2.5-coder · full</span></div>'
+            '<div class="li">▸ Skills &amp; tệp<span class="s">Viết test trước</span></div>'
+            '<div class="li">▸ Agent song song<span class="s">chưa có</span></div>'
+            '<div class="grow"></div></div>'
+            '</div></div>'),
+    },
+    "workspace-folder": {
+        "problems": [
+            "<b>Năm vùng cùng lúc</b>: path · cây · viewer · panel AI · terminal.",
+            "Hàng nút viewer trộn 5 chức năng khác loại.",
+        ],
+        "changes": [
+            "Path bar gộp vào tiêu đề.",
+            "Panel AI thành lớp phủ phải; terminal xuống đáy dạng thanh mỏng.",
+        ],
+        "wf": rail("Folder", "Trạm sạc EV — Cổng vận hành") + (
+            '<div class="main">'
+            + projbar("Trạm sạc EV — Cổng vận hành") +
+            '<div class="r tb"><div class="ttl">Thư mục</div>'
+            '<div class="s">…\\workspaces\\tram-sac-ev</div><div class="grow"></div>'
+            '<div class="btn">Sửa</div><div class="btn">✨ AI</div><div class="btn pri">Lưu</div></div>'
+            '<div class="r grow">'
+            '<div class="c w26 pane">'
+            + li("📁 src") + li("　📄 main.py") + li("　📁 billing")
+            + li("　　📄 session.py", on=True) + li("📁 tests")
+            + li("　📄 test_stations.py") + li("📄 README.md")
+            + '<div class="grow"></div></div>'
+            '<div class="c grow"><div class="b code grow">'
+            '<span class="cm"># billing/session.py</span><br>'
+            '<span class="kw">def</span> <span class="fn">close_session</span>(sid):<br>'
+            '&nbsp;&nbsp;s = repo.get(sid)<br>'
+            '&nbsp;&nbsp;s.ended_at = <span class="kw">None</span>'
+            '  <span class="cm"># ← lỗi tính tiền</span><br>'
+            '&nbsp;&nbsp;<span class="kw">return</span> bill(s)</div></div>'
+            '<div class="c w28 pane ai"><div class="hd2 row">✨ AI SỬA TỆP<span class="pchev">›</span></div>'
+            '<div class="msg u">Sửa lỗi tính dư tiền khi phiên bị ngắt đột ngột.</div>'
+            '<div class="msg a">Lấy mốc heartbeat cuối làm <b>ended_at</b>.</div>'
+            '<div class="diff"><span class="del">- s.ended_at = None</span><br>'
+            '<span class="add">+ s.ended_at = last_heartbeat(sid)</span></div>'
+            '<div class="grow"></div>'
+            '<div class="r tb"><div class="btn">Bỏ</div><div class="btn pri">Áp dụng</div></div></div>'
+            '</div><div class="stat">▸ Terminal — bật khi cần</div></div>'),
+    },
+    "workspace-graphrag": {
+        "problems": [
+            "Hai hàng toolbar riêng biệt — nên là một.",
+            "Nút <b>Messages/Graph</b> đổi hẳn nội dung pane nhưng trông như nút thường.",
+        ],
+        "changes": [
+            "Gộp hai hàng toolbar thành một.",
+            "Messages/Graph thành cặp tab rõ ràng phía trên pane trái.",
+        ],
+        "wf": rail("GraphRAG", "Cổng tra cứu tài liệu ISO") + (
+            '<div class="main">'
+            + projbar("Cổng tra cứu tài liệu ISO") +
+            '<div class="r tb"><div class="ttl">GraphRAG</div>'
+            '<div class="inp grow">…\\workspaces\\cong-tra-cuu-iso</div>'
+            '<div class="btn pri">Quét</div><div class="btn">Xuất PNG</div></div>'
+            '<div class="r grow"><div class="c grow">'
+            '<div class="r tb"><div class="tab on">Đồ thị</div><div class="tab">Tin nhắn</div>'
+            '<div class="grow"></div><div class="s">1.902 node · 3.418 cạnh</div></div>'
+            '<div class="b canvas grow">'
+            '<div class="node ok">ISO 9001</div><div class="arw">→</div>'
+            '<div class="node">Điều 7.5</div><div class="arw">→</div>'
+            '<div class="node">Hồ sơ</div></div></div>'
+            '<div class="c w28 pane"><div class="hd2 row">HỎI ĐÁP TRÊN ĐỒ THỊ<span class="pchev">›</span></div>'
+            '<div class="msg u">Điều khoản nào nói về kiểm soát hồ sơ?</div>'
+            '<div class="msg a">Điều <b>7.5.3</b> — Kiểm soát thông tin dạng văn bản. '
+            'Có 12 tài liệu trùng số hiệu, xem <b>trung_lap.md</b>.</div>'
+            '<div class="grow"></div>'
+            '<div class="r tb"><div class="inp grow">Đặt câu hỏi…</div>'
+            '<div class="btn pri">Hỏi</div></div></div></div></div>'),
+    },
+    "dashboard": {
+        "problems": [
+            "<b>Tám control trên một hàng</b> header.",
+            "Trùng <b>Monitoring ▸ Tổng quan</b>: cùng StatCard + BudgetCard.",
+            "Sáu thẻ số bằng nhau — không thấy đâu là chỉ số chính.",
+        ],
+        "changes": [
+            "Header tách 2 hàng: thời gian / bộ lọc.",
+            "Nâng <b>Chi phí</b> làm thẻ chính, 4 thẻ còn lại phụ.",
+        ],
+        "wf": rail() + (
+            '<div class="main">'
+            '<div class="r tb"><div class="ttl">Dashboard</div><div class="grow"></div>'
+            '<div class="btn">◀</div><div class="btn">08/03 – 08/09</div><div class="btn">▶</div></div>'
+            '<div class="r tb"><div class="btn">Theo tuần ▾</div><div class="btn">Chi phí ▾</div>'
+            '<div class="btn">USD ▾</div><div class="grow"></div><div class="btn">⟳</div></div>'
+            '<div class="r"><div class="b hero">$0.31<span class="s">Tổng chi phí · 57 lượt</span></div>'
+            '<div class="c grow"><div class="r">'
+            '<div class="b kpi">395.4K<span class="s">Tổng token</span></div>'
+            '<div class="b kpi">292.8K<span class="s">Input</span></div></div>'
+            '<div class="r"><div class="b kpi">102.7K<span class="s">Output</span></div>'
+            '<div class="b kpi">108.9K<span class="s">Cache</span></div></div></div></div>'
+            '<div class="b chart grow"><svg viewBox="0 0 400 90" preserveAspectRatio="none">'
+            '<polyline points="0,20 60,55 120,45 180,38 240,18 300,52 400,78" '
+            'fill="none" stroke="currentColor" stroke-width="2"/></svg></div>'
+            '<div class="r"><div class="b grow">Tốn nhiều nhất: Dựng slide trình bày — 105.4K (26%)</div></div>'
+            '</div>'),
+    },
+    "schedule-kanban": {
+        "problems": [
+            "<b>7 lane bị cắt ở mép phải</b> — lane <i>Paused</i> mất một nửa.",
+            "Kéo-thả <b>có tác dụng thật</b>: thả vào <i>Running</i> là <b>chạy task ngay</b> "
+            "(<code>schedule_task_tab.py:265</code>), không cảnh báo.",
+            "Kanban/Calendar là combo, không phải tab.",
+        ],
+        "changes": [
+            "Giữ <b>đủ 7 lane</b>, thu hẹp cho vừa một màn. Không gộp lane nào.",
+            "Combo → cặp tab <b>Kanban | Lịch</b>.",
+            "Lane <i>Running</i> có viền cảnh báo.",
+        ],
+        # All 7 STATUSES are shown — merging any of them into an "other" menu
+        # would hide existing functionality, which this redesign must not do.
+        "wf": rail("Schedule Task") + (
+            '<div class="main">'
+            '<div class="r tb"><div class="tab on">Kanban</div><div class="tab">Lịch</div>'
+            '<div class="grow"></div><div class="btn pri">+ Task</div><div class="btn">✨ AI tạo</div></div>'
+            '<div class="r grow k7">'
+            f'<div class="c lane"><div class="hd2">BACKLOG (2)</div>'
+            f'{card("[AI] Xuất DS khách hàng B2B", "Chưa đặt lịch")}'
+            f'{card("Rà soát bảo mật trước release", "high")}'
+            '<div class="grow"></div></div>'
+            f'<div class="c lane"><div class="hd2">ĐÃ LÊN LỊCH (2)</div>'
+            f'{card("Quét lại chỉ mục ISO", "08-11 14:32")}'
+            f'{card("Báo cáo doanh thu 08:00", "08-09 14:32")}'
+            '<div class="grow"></div></div>'
+            f'<div class="c lane warn"><div class="hd2">ĐANG CHẠY (1) ⚠</div>'
+            f'{card("Đồng bộ heartbeat trạm sạc", "08-08 · high")}'
+            '<div class="grow"></div></div>'
+            f'<div class="c lane"><div class="hd2">CHỜ DUYỆT (1)</div>'
+            f'{card("Chờ kế toán duyệt số liệu T7", "Chưa đặt lịch")}'
+            '<div class="grow"></div></div>'
+            f'<div class="c lane"><div class="hd2">XONG (2)</div>'
+            f'{card("Sao lưu CSDL hằng đêm", "08-07 · critical")}'
+            f'{card("[AI] Slide tổng kết Q3", "Thành công")}'
+            '<div class="grow"></div></div>'
+            f'<div class="c lane"><div class="hd2">LỖI (1)</div>'
+            f'{card("Kiểm tra chứng chỉ TLS", "critical · Lỗi")}'
+            '<div class="grow"></div></div>'
+            f'<div class="c lane"><div class="hd2">TẠM DỪNG (1)</div>'
+            f'{card("Dọn log cũ hơn 90 ngày", "low")}'
+            '<div class="grow"></div></div>'
+            '</div>'
+            '<div class="stat">Đủ <b>7 lane</b> theo <code>core.tasks.STATUSES</code> — '
+            'không gộp, không giấu lane nào. Lane hẹp lại để vừa một màn, hết cuộn ngang.</div></div>'),
+    },
+    "monitoring-tổng-quan": {
+        "problems": [
+            "<b>Sáu group box, hai cột</b> — màn dày đặc nhất app.",
+            "Trộn 3 mối quan tâm: chi phí · tài nguyên · bảo mật.",
+            "Bảng giá model nhét chung hàng với thanh CPU/RAM.",
+        ],
+        "changes": [
+            "Tách thành các mục có tiêu đề, cuộn dọc một cột chính.",
+            "Bảng giá model tách ra thành mục riêng.",
+        ],
+        "wf": rail() + (
+            '<div class="main"><div class="ttl">Monitoring</div>'
+            '<div class="r tb"><div class="tab on">Tổng quan</div><div class="tab">Bảo mật</div>'
+            '<div class="tab">MCP</div><div class="tab">Hành động</div><div class="tab">Agent</div>'
+            '<div class="tab">Agents Admin</div><div class="tab">Công cụ</div><div class="tab">Icon</div></div>'
+            '<div class="c grow">'
+            '<div class="hd2">TOKEN &amp; CHI PHÍ</div>'
+            '<div class="r"><div class="b kpi">395.4K<span class="s">Tổng token</span></div>'
+            '<div class="b kpi">$0.31<span class="s">Chi phí</span></div>'
+            '<div class="b kpi">57<span class="s">Lượt gọi</span></div>'
+            '<div class="b kpi">—<span class="s">Ngân sách</span></div></div>'
+            '<div class="hd2">TÀI NGUYÊN</div>'
+            '<div class="r"><div class="b grow">CPU 34% · RAM 2.1/8 GB · Đĩa 41 GB trống</div></div>'
+            '<div class="hd2">SANDBOX &amp; QUYỀN</div>'
+            '<div class="r"><div class="b grow">Tệp: chỉ trong workspace · Mạng: chặn · '
+            'Tiến trình: giới hạn 4</div></div>'
+            '<div class="hd2 row">BẢNG GIÁ MODEL'
+            '<span class="ghd"><span class="gact">Nhập · Xuất · Thêm · Tự dò</span>'
+            '<span class="pchev">USD ▾</span></span></div>'
+            '<div class="b tbl">'
+            '<div class="tr th"><span>Model</span><span>Vào</span><span>Ra</span>'
+            '<span>Cache</span><span>Đơn vị</span></div>'
+            '<div class="tr"><span>qwen2.5-coder:7b</span><span>0.00</span><span>0.00</span>'
+            '<span>0.00</span><span>/Mtok</span></div>'
+            '<div class="tr"><span>gpt-4o-mini</span><span>0.15</span><span>0.60</span>'
+            '<span>0.08</span><span>/Mtok</span></div></div>'
+            '<div class="hd2 row">NHẬT KÝ GẦN ĐÂY'
+            '<span class="ghd"><span class="gact">Xem tất cả</span></span></div>'
+            '<div class="b grow"><span class="bad">✕ Chặn đọc personal.xlsx (ngoài sandbox)</span><br>'
+            '<span class="ok">✓ pytest tests/test_stations.py → 4 passed</span><br>'
+            '<span class="bad">✕ jira.create_issue — 401 token hết hạn</span></div>'
+            '</div></div>'),
+    },
+    "monitoring-công-cụ": {
+        "problems": [
+            "Màn <b>duy nhất còn hiện dải tab</b> — 7 màn Monitoring kia bị ẩn. Không nhất quán.",
+            "Tab <b>Tool</b>/<b>Connector</b> lọt thỏm trong một mục nav.",
+            "Cấu hình kết nối tách khỏi Settings → thiết lập ở 2 nơi.",
+        ],
+        "changes": [
+            "Bỏ ẩn dải tab cho toàn bộ Monitoring → 8 tab một hàng; Tool/Connector ngang hàng.",
+        ],
+        "wf": rail() + (
+            '<div class="main"><div class="ttl">Monitoring</div>'
+            '<div class="r tb"><div class="tab">Tổng quan</div><div class="tab">Bảo mật</div>'
+            '<div class="tab">MCP</div><div class="tab">Hành động</div><div class="tab">Agent</div>'
+            '<div class="tab">Agents Admin</div><div class="tab on">Công cụ</div>'
+            '<div class="tab">Icon</div></div>'
+            '<div class="r tb"><div class="tab on">Tool</div><div class="tab">Connector</div>'
+            '<div class="grow"></div><div class="btn">Kiểm tra Internet</div></div>'
+            '<div class="c grow pane">'
+            + li("read_file", "Đọc tệp trong sandbox — ☑ bật")
+            + li("write_file", "Ghi tệp trong sandbox — ☑ bật")
+            + li("run_command", "Chạy lệnh shell — ☑ bật")
+            + li("fetch_url", "Tải nội dung URL — ☑ bật · ✓ Internet OK")
+            + li("image_gen", "Sinh ảnh — ☐ tắt")
+            + '<div class="grow"></div></div></div>'),
+    },
+    "overlay-help-panel": {
+        "problems": [
+            "<b>Hai vùng bấm cho một tính năng.</b> Huy hiệu mở, chevron ẩn — nằm sát nhau, "
+            "dễ bấm nhầm.",
+            "<b>Vùng bấm quá nhỏ.</b> Chevron rộng <b>18px</b>, tab mép <b>16px</b> "
+            "(<code>help_agent_widget.py:36-38</code>) — dưới ngưỡng ~24px để bấm thoải mái, "
+            "nhất là trên màn cảm ứng.",
+            "<b>Ba trạng thái, thừa một.</b> “Nép mép” và “huy hiệu” đều nghĩa là <i>đang đóng</i>; "
+            "người dùng phải học hai kiểu đóng và hai đường quay lại.",
+            "<b>Chiếm 84×64px vĩnh viễn</b> ngay góc dưới phải (huy hiệu 64 + khe 2 + "
+            "chevron 18 — <code>help_agent_widget.py:34-37</code>) — ở màn Cowork nó nằm đè "
+            "lên vùng nút Gửi, dù cả ngày chỉ mở vài lần.",
+            "Huy hiệu dùng <b>chính icon app</b> (<code>help_agent_widget.py:49-53</code>, "
+            "dự phòng là glyph robot) nên nhìn không khác gì icon cửa sổ; nhãn "
+            "“Trợ lý App” / “App Assistant” / “アプリアシスタント” nói <i>chỗ dùng</i> "
+            "chứ không nói <i>nó là gì</i>.",
+        ],
+        "changes": [
+            "<b>Một chấm 26px, không chữ.</b> Bỏ luôn chevron rời — chỗ chiếm giảm từ "
+            "<b>84×64 xuống 26×26</b> (<b>−88% diện tích</b>). Vẫn là một vùng bấm, "
+            "26px ≥ ngưỡng bấm thoải mái.",
+            "<b>Tên: “AI Assistant”</b> — giữ nguyên ở cả <b>3 ngôn ngữ</b>, sửa đúng một "
+            "khoá <code>help_agent.title</code> (<code>i18n.py:470</code>) thay cho "
+            "“App Assistant / Trợ lý App / アプリアシスタント”. Tên dài không còn là vấn đề "
+            "vì nó không nằm trên màn lúc bình thường.",
+            "<b>Chữ chỉ hiện khi rê chuột / focus bàn phím</b> — chấm nở thành pill "
+            "“✨ AI Assistant”. Lúc bình thường màn hình không có chữ nào thừa.",
+            "<b>“Ẩn trợ lý” dời vào menu ⋯</b> trong header panel, cạnh “Thu nhỏ”. "
+            "Không mất chức năng — chỉ chuyển tới lúc người dùng <i>đang</i> tương tác.",
+            "Thường ngày chỉ còn <b>2 trạng thái</b>: đóng ↔ mở. Ẩn hẳn thành lựa chọn hiếm.",
+            "Tab mép nới từ <b>16px → 28px</b> cho bấm được.",
+            "Ở màn có ô nhập dưới đáy (Cowork), chấm <b>nâng lên trên hàng nhập</b>, "
+            "không đè nút Gửi.",
+        ],
+        "wf": ('<div class="main dlg">'
+               '<div class="r tb"><div class="ttl">Trợ lý — thu gọn còn một chấm</div></div>'
+               '<div class="r grow">'
+               # 1. at rest — drawn to scale beside the old footprint
+               '<div class="c w24"><div class="lbl">Bình thường</div>'
+               '<div class="b grow ctr2" style="gap:14px">'
+               '<div class="oldbox">cũ 84×64</div>'
+               '<div class="fab"><span class="spark">✨</span></div></div>'
+               '<div class="s">26×26 · không chữ, không chevron · −88% diện tích</div></div>'
+               # 2. hover — the label appears only on demand
+               '<div class="c w24"><div class="lbl">Rê chuột / focus</div>'
+               '<div class="b grow ctr2">'
+               '<span class="fabpill"><span class="fab"><span class="spark">✨</span></span>'
+               'AI Assistant</span></div>'
+               '<div class="s">tên chỉ hiện lúc cần</div></div>'
+               # 3. open — hide lives in the ⋯ menu
+               '<div class="c grow"><div class="lbl">Mở — “Ẩn” nằm trong menu ⋯</div>'
+               '<div class="b grow pnl">'
+               '<div class="r tb phdr"><span class="spark">✨</span><b>AI Assistant</b>'
+               '<div class="grow"></div><span class="mut">— ⋯</span></div>'
+               '<div class="mnu"><div class="mi">Thu nhỏ về chấm</div>'
+               '<div class="mi">Ẩn trợ lý vào cạnh phải</div>'
+               '<div class="mi">Đổi model…</div></div>'
+               '<div class="msg a">Xin chào Nam, mình giúp gì khi bạn dùng app?</div>'
+               '<div class="grow"></div>'
+               '<div class="r tb"><div class="inp grow">Hỏi về cách dùng app…</div>'
+               '<div class="btn pri">Gửi</div></div></div></div>'
+               # 4. hidden — wider edge tab
+               '<div class="c w18"><div class="lbl">Đã ẩn</div>'
+               '<div class="b grow ctr2"><div class="edge wide">‹</div></div>'
+               '<div class="s">tab mép 28px</div></div>'
+               '</div></div>'),
+    },
+    "dialog-settings": {
+        "problems": [
+            "Năm group cuộn dọc, không mục lục.",
+            "Sandbox khoá bằng <b>mật khẩu hard-code</b> (<code>settings_dialog.py:115</code>).",
+            "Provider/Ngôn ngữ/Giao diện ở top bar, tách khỏi Settings.",
+        ],
+        "changes": [
+            "Thêm cột mục lục bên trái; gom Provider/Ngôn ngữ/Giao diện vào đây.",
+        ],
+        "wf": ('<div class="main dlg"><div class="ttl">Cài đặt</div><div class="r grow">'
+               '<div class="c w26 pane">'
+               + li("Chung", "ngôn ngữ · giao diện · khay", on=True)
+               + li("AI Provider", "Ollama · qwen2.5-coder")
+               + li("Bảo mật sandbox", "🔒 cần mở khoá")
+               + li("Tham số", "đính kèm · GraphRAG · tài nguyên")
+               + li("Auto Model Routing", "đang Tắt")
+               + '<div class="grow"></div></div>'
+               '<div class="c grow"><div class="lbl">Ngôn ngữ hiển thị</div>'
+               '<div class="inp">Tiếng Việt (VN)</div>'
+               '<div class="lbl">Giao diện</div><div class="inp">Theo hệ thống</div>'
+               '<div class="lbl">Nhà cung cấp AI</div><div class="inp">Ollama (local models)</div>'
+               '<div class="lbl">Thu nhỏ xuống khay khi đóng</div><div class="inp">☑ Bật</div>'
+               '<div class="grow"></div>'
+               '<div class="r tb end"><div class="btn">Huỷ</div><div class="btn pri">Lưu</div></div>'
+               '</div></div></div>'),
+    },
+    "dialog-task-editor": {
+        "problems": [
+            "<b>Năm group</b> dọc — form dài nhất app, không thấy đang ở bước nào.",
+        ],
+        "changes": ["Chia 3 bước có tab: <b>Nội dung → Lịch chạy → Liên kết</b>."],
+        "wf": ('<div class="main dlg"><div class="ttl">Sửa task</div>'
+               '<div class="r tb"><div class="tab on">① Nội dung</div>'
+               '<div class="tab">② Lịch chạy</div><div class="tab">③ Liên kết</div></div>'
+               '<div class="c grow"><div class="lbl">Tiêu đề</div>'
+               '<div class="inp">Gửi báo cáo doanh thu hằng ngày 08:00</div>'
+               '<div class="lbl">Mô tả</div>'
+               '<div class="inp tall">Gom số liệu ngày hôm trước, dựng bảng và gửi email '
+               'cho nhóm kế toán.</div>'
+               '<div class="r"><div class="c grow"><div class="lbl">Project</div>'
+               '<div class="inp">Báo cáo tài chính Q3</div></div>'
+               '<div class="c grow"><div class="lbl">Chạy bằng</div>'
+               '<div class="inp">Agent · qwen2.5-coder</div></div>'
+               '<div class="c grow"><div class="lbl">Ưu tiên</div>'
+               '<div class="inp">medium</div></div></div>'
+               '<div class="grow"></div>'
+               '<div class="r tb end"><div class="btn">Huỷ</div>'
+               '<div class="btn pri">Lưu</div></div></div></div>'),
+    },
+}
+
+# Screens with no bespoke analysis get this generic treatment.
+GENERIC = {
+    "problems": ["Bố cục hiện tại giữ nguyên; chưa phát hiện vấn đề sắp xếp nghiêm trọng."],
+    "changes": ["Chỉ áp thanh menu phẳng mới; nội dung bên trong giữ nguyên."],
+    "wf": "",
+}
+
+DEAD = [
+    ("AccountsTab", "ui/accounts_tab.py:153", "Quản lý tài khoản/nhóm đầy đủ, nhưng không được gắn vào MonitoringTab."),
+    ("LoginDialog", "ui/login_dialog.py:57", "Màn đăng nhập hoàn chỉnh; app.py:860 bỏ qua, hard-code user “local”."),
+    ("FlowBuilderDialog", "ui/flow_dialog.py:34", "Bị Co4E thay thế; không nơi nào gọi."),
+    ("AgentManagerTab", "ui/agent_manager_tab.py:28", "Chỉ dùng bởi FlowBuilderDialog → cũng không tới được."),
+    ("SkillManagerTab", "ui/skill_manager_tab.py", "Chỉ dùng bởi FlowBuilderDialog → cũng không tới được."),
+    ("McpServerEditDialog", "ui/mcp_servers_dialog.py:15", "Bị ExtConnectorEditDialog thay thế."),
+]
+
+FLOWS = [
+    ("Khởi động → màn đầu",
+     "python -m cowork_local → MainWindow → <b>Workspace ▸ Project</b><br><span class='mut'>Không có bước đăng nhập (LoginDialog bị bỏ qua)</span>",
+     "Giữ nguyên đích đến. Sidebar phẳng nên Project là mục đầu, không còn nằm dưới nhánh Workspace."),
+    ("Tạo project → chat",
+     "Nav ▸ Workspace <i>(mở nhánh)</i> → Project → “+” → điền form → Lưu → <b>chọn project</b> → nav ▸ Cowork <i>(mục vừa mới xuất hiện)</i> → gõ",
+     "Sidebar ▸ Project → “+” → Lưu → sidebar ▸ Cowork <i>(luôn nhìn thấy)</i> → gõ.<br><b>Bớt 1 bước mở nhánh</b>, và menu không đổi hình giữa chừng."),
+    ("Co4E: tạo → chạy → xem run",
+     "Nav ▸ Workspace ▸ Co4E → “＋” trên dải tab → kéo agent từ sidebar → chọn node → sửa ở panel phải → Lưu → Chạy → bấm tab <b>Flow Status</b> để xem",
+     "Sidebar ▸ Co4E → “+ Workflow” trong danh sách trái → kéo → sửa phải → Lưu → Chạy.<br>Trạng thái run là <b>một mục trong danh sách trái</b>, không phải tab riêng."),
+    ("Tạo &amp; chạy scheduled task",
+     "Nav ▸ Schedule → “+ Task” → form 5 group → Lưu → <b>kéo thẻ vào lane Running</b> (chạy ngay, không hỏi)",
+     "Sidebar ▸ Schedule Task → “+ Task” → form 3 tab → Lưu → kéo vào Running <i>(lane có viền cảnh báo)</i>."),
+    ("Duyệt tệp → AI sửa",
+     "Nav ▸ Workspace ▸ Folder → chọn tệp → bấm ✨ mở panel AI → gõ lệnh → xem plan → xem diff → <b>Apply</b>",
+     "Sidebar ▸ Folder → chọn tệp → ✨ mở <b>lớp phủ AI</b> → gõ → plan → diff → Apply.<br>Luồng giữ nguyên; panel không còn chiếm chỗ cố định."),
+]
+
+# Which source files back each screen. A screen made of several widgets lists
+# them all, so no control falls between two files.
+SCREEN_FILES = {
+    "dashboard": ["ui\\dashboard_tab.py", "ui\\widgets.py"],
+    "schedule-kanban": ["ui\\schedule_task_tab.py"],
+    "schedule-calendar": ["ui\\calendar_view.py"],
+    "workspace-project": ["ui\\workspace_tab.py"],
+    "workspace-cowork": ["ui\\cowork_tab.py", "ui\\chat_panel.py", "ui\\composer.py",
+                         "ui\\sidebar.py", "ui\\chat_view.py", "ui\\routing_toggle.py"],
+    "workspace-co4e": ["ui\\co4e_tab.py", "ui\\co4e_config_panel.py", "ui\\co4e_canvas.py"],
+    "workspace-folder": ["ui\\folder_tab.py", "ui\\terminal_panel.py",
+                         "ui\\libreoffice_view.py"],
+    "workspace-graphrag": ["ui\\structure_graph_view.py"],
+    "monitoring-tổng-quan": ["ui\\monitoring_tab.py"],
+    "monitoring-agents-admin": ["ui\\agents_admin_tab.py"],
+    "monitoring-công-cụ": ["ui\\tools_admin_tab.py", "ui\\connectors_panel.py"],
+    "monitoring-icon": ["ui\\icons_admin_tab.py"],
+    "dialog-settings": ["ui\\settings_dialog.py"],
+    "dialog-task-editor": ["ui\\task_editor_dialog.py"],
+    "dialog-skills": ["ui\\skills_dialog.py"],
+    "dialog-file-edit": ["ui\\file_edit_dialog.py"],
+    "dialog-co4e-agent": ["ui\\co4e_agent_dialog.py"],
+    "dialog-ext-connector": ["ui\\ext_connector_dialog.py"],
+    "dialog-permission": ["ui\\permission_dialog.py"],
+    "dialog-login": ["ui\\login_dialog.py"],
+    "overlay-help-panel": ["ui\\help_agent_widget.py"],
+    # The shell is not a screen, but its controls are live and must be counted.
+    "__shell__": ["app.py"],
+}
+
+# The ONLY controls that change place. Everything else stays where it is —
+# keyed by the variable the AST found, so a rename breaks the link loudly.
+MOVES = {
+    "self._nav_toggle_btn": "Giữ — nút MENU gập sidebar (150↔54px)",
+    "self.provider_combo": "→ menu tài khoản ở đáy sidebar",
+    "self.language_combo": "→ menu tài khoản ở đáy sidebar",
+    "self.theme_btn": "→ menu tài khoản ở đáy sidebar",
+    "self.settings_btn": "→ menu tài khoản ở đáy sidebar",
+    "self.project_list": "→ giữ ở màn Quản lý project + thêm thanh chọn đầu trang",
+    "self.view_combo": "→ đổi thành cặp tab Kanban | Lịch",
+    "self.flow_bar": "→ bỏ; chọn workflow từ danh sách trái",
+    "self.flow_add_btn": "→ nút “+ Mới” cạnh tiêu đề WORKFLOWS "
+                         "(chỗ cũ là dải tab, đã bỏ nên phải có chỗ mới)",
+    "self.ag_new_btn": "→ nút “+ Mới” cạnh tiêu đề AGENTS",
+    "self.sk_manage_btn": "→ nút “Quản lý…” cạnh tiêu đề SKILLS",
+    "self._msg_btn": "→ đổi thành cặp tab Đồ thị | Tin nhắn",
+    # The chevron beside the launcher is 18px wide and sits next to a 64px
+    # badge; the action survives, it just moves to where the user already is.
+    "self.collapse_btn": "→ mục “Ẩn trợ lý vào cạnh phải” trong menu ⋯ ở header panel",
+    "self.edge_tab": "Giữ — tab mép mở lại trợ lý, nới 16px → 28px",
+    "self.search_edit": "→ lên sidebar cùng RECENTS",
+    "self.search_btn": "→ lên sidebar cùng RECENTS",
+    "self.refresh_btn": "→ lên sidebar cùng RECENTS",
+}
+
+# One function traced end to end, because "does the new design match the old
+# behaviour?" is only answerable at this level of detail.
+NEWCHAT = [
+    ("Số lối vào", "<b>1</b> — nút “Cuộc trò chuyện mới” trên toolbar Cowork "
+     "(<code>cowork_tab.py:34</code>)",
+     "<b>2</b> — nút sidebar + nút toolbar cũ giữ nguyên",
+     "<span class='bad'>Tôi vẽ thêm nút sidebar mà chưa nói gì về nút cũ.</span> "
+     "Giữ cả hai (bỏ nút cũ là xoá chức năng), cùng gọi một hàm."),
+    ("Thấy được khi nào", "Chỉ khi đang ở tab Cowork — mà tab này "
+     "<span class='bad'>tự ẩn khi chưa chọn project</span>",
+     "Luôn thấy trên sidebar", "Mới dễ tới hơn. Chưa chọn project thì nút mờ đi."),
+    ("Chat mới thuộc project nào", "Project đang mở, ngầm định — không hiển thị ở đâu",
+     "Bộ chọn project <b>ngay trên nút</b>, trong sidebar",
+     "<span class='ok'>Cùng hành vi</span> — vẫn là project đang mở "
+     "(<code>ctx.active_project_id</code>), nhưng nay nhìn thấy và đổi được tại chỗ."),
+    ("Đổi project trước khi tạo", "Phải rời Cowork → về tab Project → chọn dòng trong danh sách "
+     "→ quay lại Cowork → bấm nút. <b>4 bước.</b>",
+     "Bấm droplist ngay trên nút → chọn → bấm nút. <b>2 bước</b>, không rời màn.",
+     "Ít bước hơn, không thêm chức năng — vẫn là chọn project rồi tạo chat."),
+    ("Bấm từ màn khác", "Không xảy ra được — nút chỉ có trên Cowork",
+     "Chuyển sang Cowork rồi tạo chat mới",
+     "Hành vi mới, cần thiết vì nút giờ ở mọi màn."),
+    ("Việc thực sự làm", "<code>new_session()</code> (<code>chat_panel.py:1653</code>): "
+     "xoá messages · sinh session_id mới · dọn view, composer, plan, tệp vào/ra · "
+     "<b>turn đang chạy vẫn chạy nền</b>",
+     "Giữ y nguyên", "<span class='ok'>Không đổi.</span>"),
+    ("Lưu chat cũ", "Tự lưu; History refresh qua <code>history_changed</code>",
+     "Giữ y nguyên — RECENTS refresh", "<span class='ok'>Không đổi.</span>"),
+]
+
+# Surfaced by this audit, deliberately NOT done — each would add or change
+# behaviour, which the redesign's scope forbids.
+LATER = [
+    ("Xuất log cho Nhật ký gần đây",
+     "Hiện chỉ có “Xem tất cả” nhảy sang Action Logs (<code>monitoring_tab.py:586</code>). "
+     "Xuất ra tệp là chức năng mới.",
+     "chức năng mới"),
+    ("Bỏ auto-refresh, thay bằng nút bấm",
+     "Monitoring làm mới mỗi <b>3 giây</b> (<code>monitoring_tab.py:43</code>), "
+     "Schedule <b>10 giây</b> (<code>schedule_task_tab.py:150</code>), "
+     "Dashboard <b>30 giây</b> (<code>dashboard_tab.py:175</code>). "
+     "Đề xuất: chỉ làm mới khi vào màn + một nút thủ công.",
+     "đổi hành vi"),
+    ("Nút tạo skill mới",
+     "Cả <code>SkillsDialog</code> lẫn <code>SkillManagerTab</code> đều không có. "
+     "Chỉ tạo được qua AI / template / nhập / nhân bản. "
+     "<code>SkillEditDialog</code> đã làm được việc này, chỉ thiếu lối vào.",
+     "chức năng mới"),
+    ("Nút “chat mới” trong pane Lịch sử",
+     "<code>sidebar.py:68</code> khai báo tín hiệu <code>new_chat</code>, "
+     "<code>workspace_tab.py:241</code> đã nối — nhưng không nơi nào phát.",
+     "hoàn thiện thứ đã dựng"),
+    ("Gọi <code>ensure_starter_project()</code>",
+     "Hàm có docstring “đảm bảo luôn có ít nhất một project” nhưng không ai gọi, "
+     "trong khi <code>refresh()</code> lại ghi “no auto-seed”. Hai chỗ mâu thuẫn.",
+     "đổi hành vi"),
+    ("Mật khẩu Sandbox hard-code",
+     "<code>settings_dialog.py:115</code> để mật khẩu mở khoá ngay trong mã nguồn.",
+     "bảo mật"),
+    ("Hai lớp trùng tên <code>CustomAgent</code>",
+     "<code>core/custom_agents.py:23</code> và <code>core/co4e.py:117</code> — "
+     "khác trường, khác thư mục lưu.",
+     "dọn mã"),
+    ("Sáu màn không có đường vào",
+     "AccountsTab · LoginDialog · FlowBuilderDialog · AgentManagerTab · "
+     "SkillManagerTab · McpServerEditDialog — tổng 64 control.",
+     "quyết định giữ hay gỡ"),
+]
+
+# Old location → new location for EVERY screen, so "nothing was removed" is
+# something the reader can check rather than take on trust.
+MAPPING = [
+    ("nhóm", "Màn hình làm việc", "", "", ""),
+    ("", "Workspace ▸ Project", "Menu ▸ Workspace <i>(mở nhánh)</i> ▸ Project",
+     "Sidebar ▸ <b>Project</b> — lên cấp 1, bớt 1 lần mở nhánh", "giữ nguyên"),
+    ("", "Workspace ▸ Cowork", "Menu ▸ Workspace ▸ Cowork — <span class='bad'>biến mất nếu chưa chọn project</span>",
+     "Sidebar ▸ <b>Cowork</b> — luôn thấy, mờ khi chưa chọn", "giữ nguyên"),
+    ("", "Workspace ▸ Co4E", "Menu ▸ Workspace ▸ Co4E", "Sidebar ▸ <b>Co4E</b>", "giữ nguyên"),
+    ("", "Workspace ▸ Folder <span class='mut'>(“Thư mục”)</span>",
+     "Menu ▸ Workspace ▸ Thư mục", "Sidebar ▸ <b>Folder</b>", "giữ nguyên"),
+    ("", "Workspace ▸ GraphRAG", "Menu ▸ Workspace ▸ GraphRAG — <span class='bad'>biến mất nếu chưa chọn project</span>",
+     "Sidebar ▸ <b>GraphRAG</b> — luôn thấy", "giữ nguyên"),
+    ("", "Schedule Task — Kanban", "Menu ▸ Schedule Task",
+     "Sidebar ▸ <b>Schedule Task</b> ▸ tab <b>Kanban</b>", "giữ nguyên"),
+    ("", "Schedule Task — Lịch", "Menu ▸ Schedule Task ▸ <i>combo</i> đổi sang “Lịch”",
+     "Sidebar ▸ Schedule Task ▸ tab <b>Lịch</b> — combo thành tab, dễ thấy hơn", "giữ nguyên"),
+
+    ("nhóm", "Giám sát &amp; vận hành <span class='mut'>— phần bạn hỏi</span>", "", "", ""),
+    ("", "Dashboard", "Menu ▸ Dashboard <i>(cấp 1)</i>",
+     "Sidebar ▸ <b>vùng đáy</b> — vẫn 1 cú nhấp", "giữ nguyên"),
+    ("", "Monitoring ▸ Tổng quan", "Menu ▸ Monitoring <i>(mở nhánh)</i> ▸ Tổng quan",
+     "Sidebar ▸ <b>Monitoring</b> ▸ tab <b>Tổng quan</b>", "giữ nguyên"),
+    ("", "Monitoring ▸ Sự kiện bảo mật", "Menu ▸ Monitoring ▸ Sự kiện bảo mật",
+     "Sidebar ▸ Monitoring ▸ tab <b>Sự kiện bảo mật</b>", "giữ nguyên"),
+    ("", "Monitoring ▸ Lịch sử gọi MCP", "Menu ▸ Monitoring ▸ Lịch sử gọi MCP",
+     "Sidebar ▸ Monitoring ▸ tab <b>Lịch sử gọi MCP</b>", "giữ nguyên"),
+    ("", "Monitoring ▸ Nhật ký hành động", "Menu ▸ Monitoring ▸ Nhật ký hành động",
+     "Sidebar ▸ Monitoring ▸ tab <b>Nhật ký hành động</b>", "giữ nguyên"),
+    ("", "Monitoring ▸ Trạng thái Agent", "Menu ▸ Monitoring ▸ Trạng thái Agent",
+     "Sidebar ▸ Monitoring ▸ tab <b>Trạng thái Agent</b>", "giữ nguyên"),
+    ("", "Monitoring ▸ Agents Admin", "Menu ▸ Monitoring ▸ Agents Admin",
+     "Sidebar ▸ Monitoring ▸ tab <b>Agents Admin</b>", "giữ nguyên"),
+    ("", "Monitoring ▸ Công cụ", "Menu ▸ Monitoring ▸ Công cụ ▸ tab con Tool | Connector",
+     "Sidebar ▸ Monitoring ▸ tab <b>Công cụ</b> ▸ Tool | Connector", "giữ nguyên"),
+    ("", "Monitoring ▸ Icon", "Menu ▸ Monitoring ▸ Icon",
+     "Sidebar ▸ Monitoring ▸ tab <b>Icon</b>", "giữ nguyên"),
+
+    ("nhóm", "Thành phần bị dời chỗ", "", "", ""),
+    ("", "History <span class='mut'>(lịch sử chat)</span>",
+     "Pane giữa, <span class='bad'>chỉ ở tab Cowork</span>. Đã gom theo project.",
+     "Sidebar ▸ <b>RECENTS</b> — <b>vẫn gom theo project</b> + “Tất cả project…”",
+     "giữ, dễ tới hơn"),
+    ("", "Bộ chọn project",
+     "Pane trái, <span class='bad'>chỉ ở tab Project</span>",
+     "Thanh chọn đầu trang, dùng chung mọi màn", "giữ, dễ tới hơn"),
+    ("", "Provider · Ngôn ngữ · Giao diện", "Thanh trên cùng (topbar)",
+     "Menu tài khoản ở đáy sidebar — gom cùng chỗ với Cài đặt", "giữ nguyên"),
+    ("", "Nút Cài đặt", "Thanh trên cùng", "Menu tài khoản ở đáy sidebar", "giữ nguyên"),
+
+    ("nhóm", "Hộp thoại &amp; lớp phủ", "", "", ""),
+    ("", "11 hộp thoại", "Mở từ nút trên các màn tương ứng",
+     "<b>Không đổi</b> — vẫn mở từ đúng những nút đó", "giữ nguyên"),
+    ("", "Robot trợ giúp · Terminal · Composer", "Lớp phủ / panel thu gọn",
+     "<b>Không đổi</b>", "giữ nguyên"),
+]
+
+# Every set of tabs / lanes / modes in the app, so nothing is hidden by a
+# truncated wireframe. "Nhìn thấy" = does the strip appear on screen at all.
+TAB_GROUPS = [
+    ("Thanh menu trái", "4 mục", "Dashboard · Schedule Task · Workspace · Monitoring",
+     "có", "<code>app.py:154</code>"),
+    ("Workspace ▸ mục con", "5 mục",
+     "Project · Cowork · Co4E · Folder · GraphRAG",
+     "<b class='bad'>không</b> — <code>hide_tab_bar()</code>, và Cowork/GraphRAG "
+     "còn tự ẩn khi chưa chọn project", "<code>workspace_tab.py:43</code>"),
+    ("Monitoring ▸ mục con", "8 mục",
+     "Tổng quan · Sự kiện bảo mật · Lịch sử gọi MCP · Nhật ký hành động · "
+     "Trạng thái Agent · Agents Admin · Công cụ · Icon",
+     "<b class='bad'>không</b> — <code>hide_tab_bar()</code>", "<code>monitoring_tab.py:215</code>"),
+    ("Công cụ ▸ tab con", "2 tab", "Tool · Connector",
+     "<b class='ok'>có</b> — màn <b>duy nhất</b> còn hiện dải tab", "<code>tools_admin_tab.py:91</code>"),
+    ("Schedule ▸ chế độ xem", "2 chế độ", "Kanban · Lịch",
+     "là <b>combo</b>, không phải tab", "<code>schedule_task_tab.py:171</code>"),
+    ("Kanban ▸ lane trạng thái", "<b>7 lane</b>",
+     "backlog · scheduled · running · waiting_input · done · failed · paused",
+     "<b class='bad'>cắt ở mép phải</b>, phải cuộn ngang", "<code>tasks.py:24</code>"),
+    ("Co4E ▸ sidebar", "3 tab icon", "Workflows · Agents · Skills",
+     "chỉ có icon, tên nằm trong tooltip", "<code>co4e_tab.py:426</code>"),
+    ("Co4E ▸ dải tab flow", "1 + N", "Flow Status (ghim) + mỗi workflow đang mở một tab",
+     "có, kiểu trình duyệt", "<code>co4e_tab.py:556</code>"),
+    ("Folder ▸ trình xem", "5 trang", "trống · mã nguồn · HTML · tài liệu · ảnh (+ bảng tính)",
+     "tự đổi theo đuôi tệp, không có tab", "<code>folder_tab.py:322</code>"),
+    ("GraphRAG ▸ khung trái", "2 trang", "Đồ thị · Tin nhắn",
+     "là <b>nút bấm</b>, không phải tab", "<code>structure_graph_view.py:217</code>"),
+    ("Dialog Tạo task bằng AI", "2 tab", "Sinh bằng AI · Nhập từ Excel",
+     "có", "<code>schedule_task_tab.py:530</code>"),
+    ("Dialog Kết nối ngoài", "2 chế độ", "MCP (stdio) · REST API",
+     "là combo đổi trang", "<code>ext_connector_dialog.py:23</code>"),
+    ("Dialog Đăng nhập <span class='mut'>(màn chết)</span>", "3 trang",
+     "Khởi tạo lần đầu · Đăng nhập · Dự phòng offline",
+     "<span class='mut'>không tới được</span>", "<code>login_dialog.py:74</code>"),
+    ("Dialog Flow Builder <span class='mut'>(màn chết)</span>", "3 tab",
+     "Flow · Agents · Skills", "<span class='mut'>không tới được</span>",
+     "<code>flow_dialog.py:247</code>"),
+]
+
+# Every collapse / expand affordance the app ships. The redesign must keep all
+# of them — folding a panel away is a feature users rely on, and dropping one
+# would be removing functionality, not simplifying.
+COLLAPSIBLES = [
+    ("Thanh menu chính", "MENU ‹ ở đầu thanh — gập còn dải icon (150px → 54px)",
+     "<code>app.py:409</code>", "giữ"),
+    ("Pane Project", "chevron ‹ trên đầu danh sách project",
+     "<code>workspace_tab.py:368</code>", "giữ"),
+    ("Pane Lịch sử", "chevron trên đầu History, gập thành dải mỏng",
+     "<code>sidebar.py:167</code> · <code>workspace_tab.py:247</code>", "giữ"),
+    ("Pane Tệp trong chat", "chevron › — gập panel Files bên phải khung chat",
+     "<code>chat_panel.py:709</code>", "giữ"),
+    ("Panel Hỏi đáp GraphRAG", "chevron › — gập panel agent bên phải đồ thị",
+     "<code>structure_graph_view.py:615</code>", "giữ"),
+    ("Panel cấu hình bước Co4E", "nút gập panel phải của canvas",
+     "<code>co4e_tab.py:767</code>", "giữ"),
+    ("Panel Tin nhắn Co4E", "gập khung log dưới canvas — <b>mặc định đang gập</b>",
+     "<code>co4e_tab.py:894</code>", "giữ"),
+    ("Terminal trong Thư mục", "bấm thanh tiêu đề để mở/gập — <b>mặc định đang gập</b>",
+     "<code>terminal_panel.py:156</code>", "giữ"),
+    ("Panel AI sửa tệp", "nút ✨ bật/tắt panel — <b>mặc định đang ẩn</b>",
+     "<code>folder_tab.py:777</code>", "giữ"),
+    ("Đồ thị ⇄ Tin nhắn (GraphRAG)", "nút đổi nội dung pane trái",
+     "<code>structure_graph_view.py:416</code>", "giữ — đổi thành cặp tab"),
+    ("Khối kết quả công cụ trong chat", "bấm tiêu đề để mở/gập output dài",
+     "<code>chat_view.py:253</code>", "giữ"),
+]
+
+NAV_BEFORE = """Dashboard
+Schedule Task
+Workspace  ▼          ← nhánh accordion, tab strip bên trong BỊ ẨN
+   Project
+   Cowork             ← TỰ ẨN khi chưa chọn project
+   Co4E
+   Folder
+   GraphRAG           ← TỰ ẨN khi chưa chọn project
+Monitoring ▼          ← nhánh accordion, tab strip BỊ ẨN
+   Tổng quan
+   Sự kiện bảo mật
+   Lịch sử gọi MCP
+   Nhật ký hành động
+   Trạng thái Agent
+   Agents Admin
+   Công cụ
+   Icon"""
+
+NAV_AFTER = """[ + Đoạn chat mới ]     ← hành động chính, trên cùng
+──────────────
+Project                 ← màn đầu, giữ nguyên
+Cowork                  ← luôn hiện (mờ đi nếu chưa chọn project)
+Co4E
+Folder
+GraphRAG                ← luôn hiện (mờ đi nếu chưa chọn project)
+Schedule Task
+──────────────
+RECENTS                 ← History dời từ pane giữa lên đây
+  · thread gần nhất…
+──────────────  (ghim đáy — nhóm phụ trợ)
+Dashboard               ← vẫn 1 cú nhấp như cũ
+Monitoring              ← BỎ ẨN dải tab, đủ 8 mục nằm ngang trong trang:
+   [Tổng quan] [Sự kiện bảo mật] [Lịch sử gọi MCP]
+   [Nhật ký hành động] [Trạng thái Agent]
+   [Agents Admin] [Công cụ] [Icon]
+👤 local · Provider ▾   ← gom Provider/Language/Theme/Settings"""
+
+NAV_PROBLEMS = [
+    ("Accordion 2 cấp, không phẳng",
+     "<code>app.py:170</code> ghi là \“Claude-style\” nhưng là <code>QTreeWidget</code> "
+     "accordion. Claude dùng danh sách phẳng."),
+    ("Mục tự biến mất",
+     "<code>workspace_tab.py:485</code> ẩn <b>Cowork</b> và <b>GraphRAG</b> khi chưa chọn project."),
+    ("Tab strip bị ẩn",
+     "<code>hide_tab_bar()</code> ẩn dải tab có sẵn → menu là đường duy nhất."),
+    ("History chỉ có ở tab Cowork",
+     "<code>workspace_tab.py:169</code>. <span class='ok'>Điểm làm tốt phải giữ:</span> lịch sử "
+     "<b>đã gom theo project</b> — lưu trong <code>&lt;project&gt;/.cowork_history</code> "
+     "(<code>config.py:590</code>), hiển thị gom nhóm ở <code>sidebar.py:193</code>."),
+    ("Monitoring gom 5 việc rời rạc",
+     "Chi phí · log bảo mật · quản trị agent · cấu hình tool · thư viện icon."),
+    ("Dashboard trùng Monitoring ▸ Tổng quan", "Cùng bộ <code>StatCard</code> + <code>BudgetCard</code>."),
+    ("Top bar giữ thiết lập", "Provider/Ngôn ngữ/Giao diện ở topbar, tách khỏi Cài đặt."),
+    ("Header không đổi theo màn", "Mọi sub-tab đều hiện <i>\“Workspace — Projects\”</i>."),
+    ("<span class='bad'>LỖI: bấm mục con Workspace, menu nhảy về mục cha</span>",
+     "<code>_goto</code> gọi <code>refresh()</code> (<code>app.py:726</code>) → "
+     "<code>subtabs_changed</code> vô điều kiện (<code>workspace_tab.py:497</code>) → "
+     "<code>takeChildren()</code> (<code>app.py:691</code>) huỷ mục vừa bấm.<br>"
+     "<b>Đo được:</b> 5/5 mục Workspace mất highlight, 0/8 mục Monitoring bị."),
+]
+
+CSS = """
+:root{--bg:#FFFFFF;--sf:#F8F8F8;--rz:#FFFFFF;--bd:#E5E5E5;--bds:#CECECE;--tx:#3B3B3B;--mut:#616161;--fnt:#6E6E6E;--ac:#005FB8;--nav:#F8F8F8;--navb:#E5E5E5;--navs:#E4E6F1;--ok:#317A2D;--warn:#8F6500;--bad:#CD3131;--r:4px}
+@media(prefers-color-scheme:dark){:root{--bg:#1F1F1F;--sf:#252526;--rz:#313131;--bd:#2B2B2B;--bds:#3C3C3C;--tx:#CCCCCC;--mut:#9D9D9D;--fnt:#9A9A9A;--ac:#4DAAFC;--nav:#181818;--navb:#2B2B2B;--navs:#04395E;--ok:#89D185;--warn:#CCA700;--bad:#F76464;--r:4px}}
+:root[data-theme=dark]{--bg:#1F1F1F;--sf:#252526;--rz:#313131;--bd:#2B2B2B;--bds:#3C3C3C;--tx:#CCCCCC;--mut:#9D9D9D;--fnt:#9A9A9A;--ac:#4DAAFC;--nav:#181818;--navb:#2B2B2B;--navs:#04395E;--ok:#89D185;--warn:#CCA700;--bad:#F76464;--r:4px}
+:root[data-theme=light]{--bg:#FFFFFF;--sf:#F8F8F8;--rz:#FFFFFF;--bd:#E5E5E5;--bds:#CECECE;--tx:#3B3B3B;--mut:#616161;--fnt:#6E6E6E;--ac:#005FB8;--nav:#F8F8F8;--navb:#E5E5E5;--navs:#E4E6F1;--ok:#317A2D;--warn:#8F6500;--bad:#CD3131;--r:4px}
+*{box-sizing:border-box}
+body{margin:0;background:var(--bg);color:var(--tx);
+font:14px/1.55 "Segoe UI Variable Text","Segoe UI",system-ui,sans-serif}
+.wrap{max-width:1180px;margin:0 auto;padding:0 24px 64px}
+header{padding:34px 0 16px;border-bottom:1px solid var(--bd);margin-bottom:20px}
+h1{font-size:25px;margin:0 0 8px;letter-spacing:-.02em}
+h2{font-size:19px;margin:38px 0 6px;padding-top:16px;border-top:1px solid var(--bd)}
+h3{font-size:15px;margin:20px 0 6px}
+p{margin:8px 0}.mut{color:var(--mut)}.fnt{color:var(--fnt)}
+code{font:13px "Cascadia Code",Consolas,monospace;background:var(--sf);
+border:1px solid var(--bd);border-radius:4px;padding:1px 5px}
+.note{background:var(--sf);border:1px solid var(--bd);border-left:3px solid var(--ac);
+border-radius:var(--r);padding:9px 13px;margin:10px 0;font-size:13px}
+.note.warn{border-left-color:var(--warn)}.note.bad{border-left-color:var(--bad)}
+.toc{background:var(--sf);border:1px solid var(--bd);border-radius:var(--r);padding:18px 22px}
+.toc ol{margin:6px 0;padding-left:22px;columns:2;column-gap:36px}
+.toc a{color:var(--tx);text-decoration:none}.toc a:hover{color:var(--ac);text-decoration:underline}
+.sec{border:1px solid var(--bd);border-radius:var(--r);margin:16px 0;overflow:hidden;background:var(--sf)}
+.sec>.hd{padding:10px 16px;border-bottom:1px solid var(--bd);display:flex;
+align-items:baseline;gap:10px;flex-wrap:wrap}
+.sec>.hd b{font-size:15px}.sec>.bd{padding:14px 16px}
+.tag{font-size:12px;padding:2px 8px;border-radius:4px;background:var(--bg);
+border:1px solid var(--bd);color:var(--mut)}
+.cap{font-size:11px;font-weight:600;letter-spacing:.06em;text-transform:uppercase;
+color:var(--fnt);margin:12px 0 5px}
+.shot{border:1px solid var(--bd);border-radius:var(--r);overflow:hidden;background:var(--bg)}
+.shot img{display:block;width:100%;height:auto}
+.miss{padding:26px;text-align:center;color:var(--bad);background:var(--bg);
+border:1px dashed var(--bad);border-radius:var(--r);font-size:14px}
+ul.pr{margin:4px 0;padding-left:18px;font-size:13px}ul.pr li{margin:3px 0}
+.lead{font-size:14px;color:var(--tx);margin:0 0 6px;max-width:92ch}
+p.rg{font-size:12.5px;color:var(--mut);margin:6px 0 0;line-height:1.55}
+p.rg b{color:var(--tx)}
+.cols{display:grid;grid-template-columns:1fr 1fr;gap:20px}
+.cols.pc{gap:16px;margin-top:10px}.cols.pc .cap{margin:0 0 4px}
+details.ctl{margin-top:12px;border:1px solid var(--bd);border-radius:var(--r);
+background:var(--bg)}
+details.ctl summary{padding:7px 12px;cursor:pointer;font-size:12.5px;color:var(--tx)}
+details.ctl[open] summary{border-bottom:1px solid var(--bd)}
+details.ctl table{margin:0;font-size:12px}
+details.ctl td,details.ctl th{padding:4px 10px}
+td.mv{color:var(--ac)}
+@media(max-width:900px){.cols{grid-template-columns:1fr}.toc ol{columns:1}}
+pre.tree{background:var(--bg);border:1px solid var(--bd);border-radius:var(--r);
+padding:16px;font:12.5px/1.65 "Cascadia Code",Consolas,monospace;overflow-x:auto;margin:0}
+table{width:100%;border-collapse:collapse;margin:10px 0;font-size:13px}
+th,td{text-align:left;padding:6px 10px;border-bottom:1px solid var(--bd);vertical-align:top}
+th{color:var(--mut);font-size:12px;text-transform:uppercase;letter-spacing:.05em}
+/* ---- wireframe vocabulary ---- */
+.wf{display:flex;height:570px;border:1px solid var(--bds);border-radius:var(--r);
+overflow:hidden;background:var(--bg);font-size:11px;position:relative}
+/* The rail must never crop: its bottom group is real navigation. */
+.wf .rail{overflow:visible}
+.wf .rail{width:150px;flex:none;background:var(--nav);border-right:1px solid var(--navb);
+padding:8px;display:flex;flex-direction:column;gap:3px}
+.wf .newbtn{background:var(--ac);color:#fff;border-radius:4px;padding:6px;text-align:center;
+font-weight:600}
+/* flex:none — inside the column rail this otherwise collapses to a sliver. */
+.wf .rpick{flex:none;background:var(--rz);border:1px solid var(--bds);border-radius:4px;
+padding:5px 7px;margin-bottom:5px;font-weight:600;display:flex;align-items:center;
+justify-content:space-between;gap:4px;line-height:1.3}
+.wf .rpick>span:first-child{overflow:hidden;text-overflow:ellipsis;white-space:nowrap}
+.wf .rpick .cv{color:var(--mut);font-weight:400;flex:none}
+.wf .rpick.empty{color:var(--fnt);font-weight:400;font-style:italic}
+.wf .i.off,.wf .newbtn.off{opacity:.45}
+.wf .newbtn.off{background:var(--bds);color:var(--tx)}
+.wf .hint{font-size:9px;color:var(--fnt);text-align:center;padding:2px 0 6px;font-style:italic}
+.wf .newbtn{flex:none}
+.wf .i{padding:5px 7px;border-radius:4px;color:var(--tx)}
+.wf .i.on{background:var(--navs);border-left:2px solid var(--ac);font-weight:600}
+.wf .i.sm{color:var(--mut);font-size:10px;padding:3px 7px}
+.wf .hd{font-size:9px;letter-spacing:.1em;color:var(--fnt);padding:4px 7px;font-weight:700}
+.wf .scope{font-size:10px;font-weight:600;color:var(--tx);padding:2px 7px 4px}
+.wf .i.allp{color:var(--ac);font-style:italic}
+.wf .sep{height:1px;background:var(--navb);margin:5px 0}
+.wf .acct{margin-top:6px;padding:6px 7px;border-top:1px solid var(--navb);
+color:var(--mut);font-size:10px;display:flex;align-items:center;gap:5px}
+.wf .acct .lang{margin-left:auto;background:var(--rz);border:1px solid var(--bds);
+border-radius:3px;padding:1px 5px;color:var(--tx);font-weight:600}
+.wf .acct .thm{font-size:11px}
+.wf .main,.wf .c{display:flex;flex-direction:column;gap:6px;padding:10px;flex:1;min-width:0}
+.wf .main.dlg{border:none}
+.wf .ttl{font-weight:700;font-size:13px;white-space:nowrap}
+/* Rows STRETCH by default so nested columns fill the height — `.tb` opts a
+   toolbar row back into vertical centring. Getting this backwards is what
+   collapsed every wireframe into a thin strip floating mid-panel. */
+.wf .r{display:flex;gap:6px;align-items:stretch;min-height:0}
+.wf .r.tb{align-items:center;flex:none}
+.wf .r.end{justify-content:flex-end}
+.wf .grow{flex:1;min-height:0}
+.wf .b{background:var(--sf);border:1px solid var(--bd);border-radius:4px;padding:6px 8px;min-height:22px}
+.wf .b.tall{min-height:70px}
+/* nowrap: a wrapped node graph reads as a broken diagram, not a flow */
+.wf .b.canvas{display:flex;align-items:center;justify-content:center;gap:5px;
+background:var(--rz);flex-wrap:nowrap;padding:12px;overflow:hidden}
+.wf .b.code{background:var(--rz);font-family:"Cascadia Code",Consolas,monospace;
+font-size:10px;line-height:1.7;overflow:hidden}
+.wf .b.chart{background:var(--rz);padding:8px;color:var(--ac);min-height:70px}
+.wf .b.chart svg{width:100%;height:100%;display:block}
+.wf .b.hero,.wf .b.kpi{display:flex;flex-direction:column;justify-content:center;
+font-weight:700}
+.wf .b.hero{flex:none;width:130px;font-size:20px;align-items:center;text-align:center}
+.wf .b.kpi{flex:1;font-size:14px}
+.wf .s{display:block;font-size:9.5px;font-weight:400;color:var(--fnt);margin-top:2px}
+.wf .lbl{color:var(--mut);font-size:10px}
+.wf .hd2{font-size:9px;letter-spacing:.09em;color:var(--fnt);font-weight:700;
+margin-top:2px}
+.wf .hd2.row{display:flex;align-items:center;justify-content:space-between}
+.wf .pchev{color:var(--mut);font-size:12px;font-weight:400}
+.wf .ghd{display:flex;align-items:center;gap:6px}
+.wf .gact{color:var(--ac);font-weight:600;font-size:9.5px;letter-spacing:0}
+.wf .b.tbl{padding:0;overflow:hidden}
+.wf .tr{display:flex;padding:3px 8px;border-bottom:1px solid var(--bd);gap:6px}
+.wf .tr:last-child{border-bottom:none}
+.wf .tr span{flex:1}.wf .tr span:first-child{flex:2.4}
+.wf .tr.th{color:var(--fnt);font-size:9px;letter-spacing:.05em;font-weight:700}
+.wf .ctr2{display:flex;align-items:center;justify-content:center}
+.wf .edge{background:var(--sf);border:1px solid var(--bds);border-right:none;
+border-radius:5px 0 0 5px;padding:14px 5px;color:var(--mut)}
+.wf .edge.wide{padding:14px 10px;font-weight:700;color:var(--tx)}
+.wf .mnu{align-self:flex-end;background:var(--rz);border:1px solid var(--bds);
+border-radius:5px;padding:3px;min-width:52%;box-shadow:0 3px 10px rgba(16,32,64,.14)}
+.wf .mi{padding:4px 8px;border-radius:3px}
+.wf .mi:nth-child(2){background:var(--navs);font-weight:600}
+/* Sparkle badge — the teal-tinted "AI" chip, same convention as the app's
+   existing ✨ AI buttons in Folder and Schedule. */
+/* The dock is anchored to the window corner — its position is unchanged. */
+.wf .main.anchor{position:relative}
+.wf .dock{position:absolute;right:10px;bottom:10px}
+.wf .dock.badgewrap{display:flex;align-items:center;gap:3px}
+.wf .dock .badge,.wf .dock.badge{background:#E6F6F4;border:1px solid #7FD0C4;
+border-radius:6px;padding:7px 11px;font-weight:700;color:#0F6E62;white-space:nowrap}
+/* "Ẩn vào cạnh phải" — a real button in the app, next to the launcher. */
+.wf .dock .chv{background:var(--sf);border:1px solid var(--bds);border-radius:4px;
+padding:6px 3px;color:var(--mut);font-size:11px;line-height:1}
+/* The proposed dot: 26px, no label, no neighbouring chevron. Drawn at the same
+   scale as the wireframe around it so the size claim is visible, not asserted. */
+.wf .dock.fab,.wf .fab{width:26px;height:26px;border-radius:50%;background:#E6F6F4;
+border:1px solid #7FD0C4;display:flex;align-items:center;justify-content:center;
+font-size:12px;box-shadow:0 2px 6px rgba(16,32,64,.14)}
+/* Hover / keyboard focus only — the label is never on screen at rest. */
+.wf .fabpill{display:inline-flex;align-items:center;gap:5px;background:#E6F6F4;
+border:1px solid #7FD0C4;border-radius:13px;padding:4px 11px 4px 5px;
+font-weight:700;color:#0F6E62;white-space:nowrap;box-shadow:0 2px 6px rgba(16,32,64,.14)}
+.wf .fabpill .fab{box-shadow:none;width:18px;height:18px;font-size:10px}
+/* Old vs new footprint, drawn to scale beside each other. */
+.wf .oldbox{width:42px;height:32px;border:1px dashed var(--bds);border-radius:4px;
+display:flex;align-items:center;justify-content:center;color:var(--fnt);font-size:9px}
+.wf .dock.pnl{width:74%;height:76%;background:var(--sf);border:1px solid var(--bds);
+border-radius:6px;box-shadow:0 3px 10px rgba(16,32,64,.13)}
+.wf .phdr{border-bottom:1px solid var(--bd);padding-bottom:5px;gap:5px}
+.wf .spark{color:#0F9B8A}
+.wf .pnl{display:flex;flex-direction:column;gap:5px;padding:8px}
+/* The rail's own MENU collapse control (150px <-> 54px in the app). */
+.wf .menutog{display:flex;align-items:center;justify-content:space-between;
+color:var(--fnt);font-size:9px;letter-spacing:.1em;font-weight:700;padding:2px 6px 6px}
+.wf .menutog .chev{font-size:13px;font-weight:400}
+.wf .rail.narrow{width:46px;align-items:center}
+.wf .rail.narrow .menutog{justify-content:center;padding:2px 0 6px}
+.wf .newbtn.ic,.wf .i.ic,.wf .acct.ic{text-align:center;padding:5px 0;width:100%}
+.wf .acct.ic{border-top:1px solid var(--navb)}
+.wf .w22{flex:none;width:22%}
+.wf .inp{background:var(--rz);border:1px solid var(--bds);border-radius:4px;
+padding:6px 8px;color:var(--tx);min-height:26px;overflow:hidden}
+.wf .inp.tall{min-height:52px}
+.wf .btn{background:var(--rz);border:1px solid var(--bds);border-radius:4px;
+padding:4px 9px;white-space:nowrap;align-self:center}
+.wf .btn.pri{background:var(--ac);color:#fff;border-color:transparent;font-weight:600}
+.wf .tab{padding:4px 10px;border-bottom:2px solid transparent;color:var(--mut);white-space:nowrap}
+.wf .tab.on{border-bottom-color:var(--ac);color:var(--tx);font-weight:600}
+.wf .stat{border-top:1px solid var(--bd);padding-top:5px;color:var(--fnt);
+font-size:10px;flex:none}
+/* Shared project picker — same spot on every project-scoped screen. */
+.wf .r.pb{border-bottom:1px solid var(--bd);padding-bottom:7px;margin-bottom:2px}
+.wf .pick{background:var(--navs);border:1px solid var(--navb);border-radius:4px;
+padding:4px 10px;font-weight:600;color:var(--tx)}
+.wf .pane{background:var(--sf);border:1px solid var(--bd);border-radius:4px;gap:3px}
+.wf .lane{background:var(--sf);border:1px solid var(--bd);border-radius:4px;padding:6px;gap:5px}
+.wf .lane.warn{border-color:var(--warn)}
+/* 7 lanes must fit without horizontal scrolling — that is the whole point. */
+.wf .k7{gap:4px}
+.wf .k7 .lane{padding:5px;gap:4px;min-width:0}
+.wf .k7 .card{font-size:10px;padding:4px 6px}
+.wf .k7 .hd2{font-size:8.5px}
+.tag.ok{color:var(--ok);border-color:var(--ok)}
+b.ok,span.ok{color:var(--ok)}b.bad,span.bad{color:var(--bad)}
+td.ok{color:var(--ok);white-space:nowrap}
+tr.grp td{background:var(--sf);font-weight:700;font-size:13px;
+border-bottom:1px solid var(--bds);padding-top:14px}
+.wf .li{padding:4px 7px;border-radius:4px;color:var(--tx);line-height:1.35}
+.wf .li.on{background:var(--navs);font-weight:600}
+.wf .card{background:var(--rz);border:1px solid var(--bd);border-radius:4px;
+padding:5px 7px;line-height:1.35}
+.wf .chat{gap:6px;padding:0}
+.wf .msg{border-radius:5px;padding:6px 9px;line-height:1.45;max-width:88%}
+.wf .msg.u{background:var(--navs);align-self:flex-end}
+.wf .msg.a{background:var(--sf);border:1px solid var(--bd)}
+.wf .node{background:var(--sf);border:1px solid var(--bds);border-radius:4px;
+padding:6px 8px;white-space:nowrap;font-size:10px;flex:none}
+.wf .node.ok{border-color:var(--ok);color:var(--ok)}
+.wf .node.run{border-color:var(--ac);color:var(--ac);font-weight:600}
+.wf .arw{color:var(--fnt)}
+.wf .diff{font-family:"Cascadia Code",Consolas,monospace;font-size:9.5px;
+line-height:1.7;background:var(--rz);border-radius:4px;padding:5px 7px}
+.wf .add{color:var(--ok)}.wf .del{color:var(--bad)}
+.wf .ok{color:var(--ok)}.wf .bad{color:var(--bad)}
+.wf .cm{color:var(--fnt)}.wf .kw{color:var(--ac)}.wf .fn{color:var(--warn)}
+.wf .w18{flex:none;width:18%}.wf .w24{flex:none;width:24%}
+.wf .w26{flex:none;width:26%}.wf .w28{flex:none;width:28%}.wf .w32{flex:none;width:32%}
+@media(max-width:760px){.wf{height:auto;flex-direction:column}.wf .rail{width:auto}}
+.tgl{position:fixed;top:16px;right:16px;z-index:9;background:var(--sf);color:var(--tx);
+border:1px solid var(--bds);border-radius:var(--r);padding:7px 13px;cursor:pointer;font-size:13px}
+.sw{display:inline-flex;border:1px solid var(--bds);border-radius:4px;overflow:hidden;margin-left:auto}
+.sw button{background:var(--bg);color:var(--mut);border:0;padding:3px 11px;cursor:pointer;font-size:12px}
+.sw button.on{background:var(--ac);color:#fff;font-weight:600}
+"""
+
+JS = """
+const root=document.documentElement;
+function setTheme(t){root.setAttribute('data-theme',t);
+ document.getElementById('tgl').textContent=t==='dark'?'☀ Sáng':'🌙 Tối';
+ document.querySelectorAll('.sec').forEach(s=>swap(s,t));}
+function swap(sec,t){const i=sec.querySelector('img.shotimg');if(!i)return;
+ const src=t==='dark'?i.dataset.dark:i.dataset.light;if(src)i.src=src;
+ sec.querySelectorAll('.sw button').forEach(b=>b.classList.toggle('on',b.dataset.t===t));}
+document.getElementById('tgl').onclick=()=>setTheme(
+ root.getAttribute('data-theme')==='dark'?'light':'dark');
+document.querySelectorAll('.sw button').forEach(b=>b.onclick=()=>{
+ swap(b.closest('.sec'),b.dataset.t);});
+setTheme(matchMedia('(prefers-color-scheme: dark)').matches?'dark':'light');
+"""
+
+
+def esc(s: str) -> str:
+    return s.replace("&", "&amp;").replace("<", "&lt;").replace(">", "&gt;")
+
+
+def load_controls() -> dict:
+    """file path -> {controls, menu_actions}, from tools/extract_controls.py."""
+    src = DOCS / "screens" / "controls.json"
+    if not src.exists():
+        return {}
+    return {f["file"]: f for f in json.loads(src.read_text(encoding="utf-8"))}
+
+
+def controls_table(slug: str, index: dict) -> str:
+    """A collapsed, exhaustive control list for one screen."""
+    files = SCREEN_FILES.get(slug)
+    if not files:
+        return ""
+    rows, n = [], 0
+    for fname in files:
+        rec = index.get(fname)
+        if not rec:
+            continue
+        short = fname.split("\\\\")[-1]
+        for c in rec["controls"]:
+            label = c.get("label_vi") or c.get("label") or "—"
+            label = label.replace("tr(", "").strip("'\")")[:60]
+            act = "; ".join(h.split(" → ")[-1] for h in c["signals"])[:70] or "—"
+            dest = MOVES.get(c["var"], "giữ nguyên tại chỗ")
+            cls = "ok" if dest.startswith("giữ") else "mv"
+            rows.append(f'<tr><td>{esc(label)}</td><td class="mut">{c["kind"]}</td>'
+                        f'<td><code>{esc(act)}</code></td>'
+                        f'<td class="mut">{short}:{c["line"]}</td>'
+                        f'<td class="{cls}">{dest}</td></tr>')
+            n += 1
+        for a in rec["menu_actions"]:
+            label = a.get("label_vi") or a.get("label") or "—"
+            label = label.replace("tr(", "").strip("'\")")[:60]
+            rows.append(f'<tr><td>{esc(label)}</td><td class="mut">menu chuột phải</td>'
+                        f'<td class="mut">—</td>'
+                        f'<td class="mut">{short}:{a["line"]}</td>'
+                        f'<td class="ok">giữ nguyên tại chỗ</td></tr>')
+            n += 1
+    if not rows:
+        return ""
+    return (f'<details class="ctl"><summary>Kiểm kê control — <b>{n}</b> mục '
+            f'<span class="mut">(trích bằng AST, không đọc tay)</span></summary>'
+            f'<table><tr><th>Nhãn</th><th>Loại</th><th>Hàm xử lý</th><th>Nguồn</th>'
+            f'<th>Sau khi sửa</th></tr>{"".join(rows)}</table></details>')
+
+
+def embed(rel: str) -> str:
+    """PNG at `rel` as a data: URI (standalone builds only)."""
+    raw = (DOCS / rel.split("?")[0]).read_bytes()
+    return "data:image/png;base64," + base64.b64encode(raw).decode("ascii")
+
+
+def bust(rel: str) -> str:
+    """Append a content stamp to an image URL.
+
+    Re-capturing overwrites the PNGs but keeps their names, so a browser (or the
+    editor's HTML preview) happily serves the previous render from cache and the
+    page looks stale even though it was just rebuilt. Stamping the URL with the
+    file's mtime forces a fetch whenever the picture actually changed.
+    """
+    path = DOCS / rel
+    try:
+        return f"{rel}?v={int(path.stat().st_mtime)}"
+    except OSError:
+        return rel
+
+
+def main() -> int:
+    stamp = datetime.now().strftime("%H:%M %d/%m/%Y")
+    cidx = load_controls()
+    recs = json.loads(MANIFEST.read_text(encoding="utf-8"))
+    by_slug: dict[str, dict] = {}
+    for r in recs:
+        by_slug.setdefault(r["slug"], {"title": r["title"], "note": r["note"], "shots": {}})
+        by_slug[r["slug"]]["shots"][r["theme"]] = r
+    order = list(by_slug)
+
+    toc = "".join(
+        f'<li><a href="#{s}">{esc(by_slug[s]["title"])}</a></li>' for s in order)
+
+    secs = []
+    for n, slug in enumerate(order, 1):
+        info = by_slug[slug]
+        a = ANALYSIS.get(slug, GENERIC)
+        dark, light = info["shots"].get("dark"), info["shots"].get("light")
+
+        if dark and dark["file"]:
+            src = embed if STANDALONE else bust
+            d_url, l_url = src(dark["file"]), src((light or dark)["file"])
+            shot = (f'<div class="shot"><img class="shotimg" src="{d_url}" '
+                    f'data-dark="{d_url}" data-light="{l_url}" '
+                    f'alt="{esc(info["title"])}"></div>')
+            sw = ('<span class="sw"><button data-t="dark" class="on">Tối</button>'
+                  '<button data-t="light">Sáng</button></span>')
+        else:
+            err = esc((dark or {}).get("error", "không rõ"))
+            shot = f'<div class="miss">Không chụp được màn này<br><code>{err}</code></div>'
+            sw = ""
+
+        # The dock floats over the MAIN WINDOW. Modal dialogs cover it, so they
+        # get none; section 27 draws its own (badge + open panel).
+        dock = "" if (slug.startswith("dialog-")
+                      or slug == "overlay-help-panel") else DOCK_BADGE
+        wf = (f'<div class="cap">Đề xuất — bố cục mới</div>'
+              f'<div class="wf">{a["wf"]}{dock}</div>'
+              if a["wf"] else
+              '<div class="cap">Đề xuất — bố cục mới</div>'
+              '<p class="mut">Giữ nguyên bố cục bên trong; chỉ đổi thanh menu sang danh sách phẳng.</p>')
+
+        # What the screen is, plus a legend for the regions visible in the shot.
+        de = DESCRIPTIONS.get(slug)
+        intro = f'<p class="lead">{de["d"]}</p>' if de else ""
+        legend = ""
+        if de and de.get("r"):
+            bits = " · ".join(
+                f'<b>{lab}</b>{": " + txt if txt else ""}' for lab, txt in de["r"])
+            legend = f'<p class="rg">{bits}</p>'
+
+        # Eight sections were written by hand (tools/audit_handwritten.py). Use
+        # that markup verbatim, but keep the screenshot and the AST control
+        # inventory generated so neither goes stale.
+        hand = HAND_SECTIONS.get(slug)
+        if hand:
+            body = (hand.replace("{{SHOT}}", shot)
+                        .replace("{{CONTROLS}}", controls_table(slug, cidx)))
+        else:
+            body = f"""<div class="bd">
+{intro}
+<div class="cap">Hiện tại</div>{shot}
+{legend}
+{wf}
+{controls_table(slug, cidx)}
+<div class="cols pc">
+<div><div class="cap">Vấn đề</div><ul class="pr">{''.join(f'<li>{p}</li>' for p in a['problems'])}</ul></div>
+<div><div class="cap">Thay đổi</div><ul class="pr">{''.join(f'<li>{c}</li>' for c in a['changes'])}</ul></div>
+</div></div>"""
+
+        secs.append(f"""<section class="sec" id="{slug}">
+<div class="hd"><b>{n}. {esc(info['title'])}</b><span class="tag">{esc(info['note'])}</span>{sw}</div>
+{body}</section>""")
+
+    flows = "".join(
+        f'<tr><td><b>{t}</b></td><td class="mut">{b}</td><td>{af}</td></tr>'
+        for t, b, af in FLOWS)
+    navp = "".join(f'<tr><td><b>{t}</b></td><td>{d}</td></tr>' for t, d in NAV_PROBLEMS)
+    tabs = "".join(
+        f'<tr><td><b>{g}</b></td><td class="mut">{n}</td><td>{items}</td>'
+        f'<td>{seen}</td><td class="mut">{src}</td></tr>'
+        for g, n, items, seen, src in TAB_GROUPS)
+    newchat = "".join(
+        f'<tr><td><b>{a}</b></td><td class="mut">{o}</td><td>{n}</td><td>{v}</td></tr>'
+        for a, o, n, v in NEWCHAT)
+    later = "".join(f'<tr><td><b>{n}</b></td><td>{d}</td>'
+                    f'<td class="mut">{k}</td></tr>' for n, d, k in LATER)
+    rail_has = rail("Cowork") + ('<div class="main"><div class="ttl">Cowork</div>'
+                                 '<div class="b grow"></div></div>')
+    rail_none = rail("Project", empty=True) + (
+        '<div class="main"><div class="ttl">Quản lý project</div>'
+        '<div class="b grow"><span class="mut">Chưa có project — bấm “+ Project mới”</span>'
+        '</div></div>')
+    shell_ctl = controls_table("__shell__", cidx)
+    colls = "".join(
+        f'<tr><td><b>{n}</b></td><td>{how}</td><td class="mut">{src}</td>'
+        f'<td class="ok">{keep}</td></tr>' for n, how, src, keep in COLLAPSIBLES)
+    rail_open = rail("Cowork") + ('<div class="main"><div class="ttl">Nội dung</div>'
+                                  '<div class="b grow"></div></div>')
+    rail_shut = rail_collapsed() + ('<div class="main"><div class="ttl">Nội dung</div>'
+                                    '<div class="b grow"></div></div>')
+    mapping = "".join(
+        (f'<tr class="grp"><td colspan="4">{name}</td></tr>' if kind == "nhóm"
+         else f'<tr><td><b>{name}</b></td><td class="mut">{old}</td><td>{new}</td>'
+              f'<td class="ok">{keep}</td></tr>')
+        for kind, name, old, new, keep in MAPPING)
+    dead = "".join(f'<tr><td><b>{n}</b></td><td><code>{f}</code></td><td class="mut">{d}</td></tr>'
+                   for n, f, d in DEAD)
+
+    html = f"""<!doctype html><html lang="vi"><head><meta charset="utf-8">
+<meta name="viewport" content="width=device-width,initial-scale=1">
+<title>CoworkLocal — Audit UI/UX</title><style>{CSS}
+{HAND_CSS}</style></head><body>
+<button class="tgl" id="tgl">🌙 Tối</button>
+<div class="wrap">
+<header>
+<h1>CoworkLocal — Audit UI/UX</h1>
+<p class="mut">Hiện trạng {len(order)} màn hình · đề xuất sắp xếp lại theo UI/UX kiểu Claude ·
+bảng màu Visual Studio Code · <b>dựng lúc {stamp}</b></p>
+<div class="note warn"><b>Ràng buộc:</b> chỉ sắp xếp lại, <b>không xoá/thêm chức năng</b>.
+Hai chỗ lệch được đánh dấu ở Phần 1.</div>
+<div class="note"><b>Ảnh chụp:</b> render offscreen trên <b>bản sao</b> dữ liệu
+(scheduler tắt, hash dữ liệu thật trước/sau giống hệt). Nạp dữ liệu mẫu: 3 project ·
+6 chat · 10 task · 3 workflow · 45 ngày token. Ảnh đã chỉnh menu sáng đúng mục —
+xem <b>lỗi #9</b>.</div>
+</header>
+
+<div class="toc"><b>Mục lục</b>
+<p class="mut" style="margin:4px 0 8px">Phần 1 — Điều hướng · Phần 2 — Luồng người dùng ·
+Phần 3 — {len(order)} màn hình · Phần 4 — Màn chết</p>
+<ol>{toc}</ol></div>
+
+<h2>Phần 1 — Điều hướng</h2>
+<div class="cols">
+<div><div class="cap">Hiện tại</div><pre class="tree">{esc(NAV_BEFORE)}</pre></div>
+<div><div class="cap">Đề xuất</div><pre class="tree">{esc(NAV_AFTER)}</pre></div>
+</div>
+<h3>Chín điểm đã xác minh trong code</h3>
+<table><tr><th style="width:32%">Vấn đề</th><th>Chi tiết</th></tr>{navp}</table>
+
+<h3>Khung ứng dụng — thanh trên cùng &amp; thanh menu</h3>
+<p class="mut">Không thuộc màn nào nên liệt kê riêng.</p>
+{shell_ctl}
+
+<h3>Các nút thu gọn / mở rộng — giữ nguyên toàn bộ</h3>
+<p class="mut">App có <b>11 chỗ</b> gập được. Thiết kế mới giữ đủ cả 11.</p>
+<div class="cols" style="align-items:start">
+<div><div class="cap">Menu mở rộng</div><div class="wf demo" style="height:570px">{rail_open}</div></div>
+<div><div class="cap">Menu đã gập (54px, chỉ còn icon)</div>
+<div class="wf demo" style="height:570px">{rail_shut}</div></div>
+</div>
+<table><tr><th style="width:24%">Chỗ gập được</th><th style="width:40%">Cách dùng</th>
+<th>Nguồn</th><th>Thiết kế mới</th></tr>{colls}</table>
+
+<h3>Từng màn hình đi đâu sau khi sửa</h3>
+<p class="mut">Không màn nào bị bỏ. Giám sát (Dashboard + 8 màn Monitoring) ở nhóm
+phụ trợ đáy sidebar, mở ra thấy đủ 8 tab.</p>
+<table><tr><th style="width:17%">Màn hình</th><th style="width:30%">Hiện tại ở đâu</th>
+<th style="width:35%">Sau khi sửa ở đâu</th><th>Chức năng</th></tr>{mapping}</table>
+<div class="note">Dashboard/Monitoring xuống đáy nhưng vẫn là mục cấp 1, vẫn
+<b>một cú nhấp</b>. Sidebar chia theo tần suất: việc hằng ngày ở trên, quản trị ở dưới.</div>
+
+<h3>Toàn bộ nhóm tab / lane / chế độ trong app</h3>
+<p class="mut">Đầy đủ, kể cả nhóm không hiện ra màn hình.</p>
+<table><tr><th style="width:20%">Nhóm</th><th>SL</th><th style="width:36%">Các mục</th>
+<th style="width:22%">Nhìn thấy?</th><th>Nguồn</th></tr>{tabs}</table>
+<div class="note warn"><b>14 nhóm</b> tab/lane, chỉ <b>4 nhóm</b> hiện ra màn hình.
+Số còn lại bị ẩn, thành combo, thành nút, hoặc không tới được.</div>
+<div class="note bad"><b>Hai chỗ lệch — cần bạn quyết:</b>
+(1) Cowork/GraphRAG: <i>biến mất</i> → <b>hiện nhưng mờ</b>.
+(2) Bỏ ẩn tab strip Monitoring (khôi phục thứ đã có).</div>
+
+<h2>Phần 2 — Luồng người dùng</h2>
+<table><tr><th style="width:20%">Luồng</th><th style="width:40%">Hiện tại</th><th>Sau khi sửa</th></tr>{flows}</table>
+
+<h3>Truy vết chi tiết: “Đoạn chat mới”</h3>
+<table><tr><th style="width:16%">Khía cạnh</th><th style="width:28%">Giao diện cũ</th>
+<th style="width:24%">Giao diện mới</th><th>Có đồng bộ không</th></tr>{newchat}</table>
+<div class="cols" style="align-items:start">
+<div><div class="cap">Có project</div><div class="wf demo">{rail_has}</div></div>
+<div><div class="cap">Chưa có project nào</div><div class="wf demo">{rail_none}</div></div>
+</div>
+<div class="note"><b>Khi chưa có project</b> (đã chạy thử app với 0 project):
+hiện nay <b>Cowork và GraphRAG biến mất</b> khỏi menu nên không chat được, mà không nói vì sao.
+Thiết kế mới <b>giữ nguyên cổng chặn đó</b> — vẫn không tạo chat được — nhưng hai mục vẫn nằm
+đúng chỗ, chỉ mờ đi; droplist ghi “Chưa có project”; nút chat mới bị khoá kèm lý do
+“Tạo project trước”.<br>
+<span class="mut">Ghi nhận thêm: lúc đó <code>ctx.active_project_id</code> vẫn giữ
+<code>'default'</code> — trỏ vào một project không tồn tại. Và
+<code>projects.ensure_starter_project()</code> (“đảm bảo luôn có ít nhất một project”)
+<b>không nơi nào gọi</b>.</span></div>
+
+<div class="note bad"><b>Phát hiện:</b> <code>sidebar.py:68</code> khai báo tín hiệu
+<code>new_chat</code> và <code>workspace_tab.py:241</code> đã nối nó vào
+<code>_on_sidebar_new</code> — nhưng <b>không nơi nào phát tín hiệu này</b>
+(<code>grep new_chat.emit</code> → rỗng). Tức pane Lịch sử vốn được thiết kế để có nút
+“chat mới” nhưng nút đó chưa bao giờ được thêm. Đề xuất đưa nút lên sidebar chính là
+<b>hoàn thiện ý định sẵn có</b> trong code, không phải thêm mới.</div>
+
+<h2>Phần 3 — Từng màn hình</h2>
+{''.join(secs)}
+
+<h2>Phần 4 — Phát triển lần sau</h2>
+<p class="mut">Những việc audit này phát hiện nhưng <b>cố ý không làm</b>, vì đều thêm
+hoặc đổi chức năng — ngoài phạm vi “chỉ sắp xếp lại”.</p>
+<table><tr><th style="width:26%">Việc</th><th>Chi tiết</th><th style="width:16%">Loại</th></tr>
+{later}</table>
+
+<h2>Phần 5 — Màn chết (chỉ ghi nhận)</h2>
+<p class="mut">Sáu màn có trong code nhưng không tới được — tổng <b>64 control</b>
+(accounts 18 · flow_dialog 28 · agent_manager 7 · skill_manager 7 · mcp_servers 4).
+Không nằm trong kiểm kê phía trên vì không có đường nào tới; chỉ ghi nhận, không đề xuất gỡ.</p>
+<table><tr><th>Thành phần</th><th>Vị trí</th><th>Tình trạng</th></tr>{dead}</table>
+<div class="note warn">Ngoài phạm vi: <code>settings_dialog.py:115</code> hard-code mật khẩu
+Sandbox; hai lớp cùng tên <code>CustomAgent</code>
+(<code>custom_agents.py:23</code> · <code>co4e.py:117</code>).</div>
+</div><script>{JS}</script>
+{"".join(f"<script>{j}</script>" for j in HAND_JS)}
+</body></html>"""
+
+    dest = OUT
+    dest.write_text(html, encoding="utf-8")
+    missing = [r["slug"] for r in recs if not r["file"]]
+    size = dest.stat().st_size
+    unit = f"{size / 1024 / 1024:.1f} MB" if size > 1_000_000 else f"{size // 1024} KB"
+    kind = ("MOT FILE DUY NHAT — anh da nhung san" if STANDALONE
+            else "CAN kem thu muc screens/ moi co hinh")
+    print(f"wrote {dest}  ({len(order)} screens, {unit}) — {kind}")
+    if missing:
+        print(f"placeholders for: {sorted(set(missing))}")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tools/capture_screens.py b/tools/capture_screens.py
new file mode 100644
index 0000000..b7c2a53
--- /dev/null
+++ b/tools/capture_screens.py
@@ -0,0 +1,366 @@
+"""Capture every CoworkLocal screen to PNG, offscreen, for the UI audit page.
+
+Run:  python tools/capture_screens.py
+
+Two safety measures, both mandatory — this script drives the REAL application:
+
+1. **Data isolation.** ``config.CONFIG_DIR`` is ``Path.home() / ".cowork_local"``, a
+   module-level constant resolved at import time. We copy that folder to a temp
+   directory and repoint ``USERPROFILE``/``HOME`` at it *before* importing
+   ``cowork_local``, so every write the app makes lands in the copy. The user's
+   real data is never opened for writing.
+
+2. **Schedulers disabled.** ``MainWindow.__init__`` starts ``TaskScheduler`` and
+   ``RoutingScheduler``, which would *execute the user's scheduled tasks* — real
+   agent turns writing real files. Both ``start`` methods are patched to no-ops
+   before the window is built.
+
+We also construct ``MainWindow`` directly rather than calling ``app.run()``:
+``run()`` seeds built-in skills/flows and calls ``ctx.config.save()``.
+
+Screens that fail to render (QtWebEngine generally cannot initialise offscreen)
+are recorded in the manifest with their error. They are never silently skipped —
+the audit page renders an explicit "could not capture" placeholder for them.
+"""
+from __future__ import annotations
+
+import json
+import os
+import shutil
+import sys
+import tempfile
+import traceback
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent      # …/cowork_local
+OUT_DIR = REPO / "docs" / "screens"
+THEMES = ("dark", "light")
+
+
+def _isolate_home() -> Path:
+    """Copy the real config dir into a temp HOME and repoint the env at it."""
+    real = Path.home() / ".cowork_local"
+    sandbox = Path(tempfile.mkdtemp(prefix="cowork-capture-"))
+    if real.exists():
+        shutil.copytree(real, sandbox / ".cowork_local", dirs_exist_ok=True)
+    else:
+        (sandbox / ".cowork_local").mkdir(parents=True, exist_ok=True)
+    for var in ("USERPROFILE", "HOME"):
+        os.environ[var] = str(sandbox)
+    os.environ.pop("HOMEDRIVE", None)
+    os.environ.pop("HOMEPATH", None)
+    return sandbox
+
+
+def _load_fonts() -> int:
+    """Register system fonts with the offscreen platform.
+
+    The offscreen plugin ships with NO font database (``QFontDatabase.families()``
+    returns an empty list), so every glyph renders as a tofu box — unusable when
+    the screenshots are the deliverable. Loading the real Windows faces fixes
+    both Latin and Vietnamese diacritics, and Consolas covers the code views.
+    """
+    from PySide6.QtGui import QFontDatabase
+
+    wanted = [
+        "SegUIVar.ttf", "segoeui.ttf", "segoeuib.ttf", "segoeuii.ttf",
+        "seguisb.ttf", "consola.ttf", "consolab.ttf", "arial.ttf",
+    ]
+    root = Path(os.environ.get("SystemRoot", r"C:\Windows")) / "Fonts"
+    loaded = 0
+    for name in wanted:
+        path = root / name
+        if path.exists() and QFontDatabase.addApplicationFont(str(path)) != -1:
+            loaded += 1
+    return loaded
+
+
+def _apply_theme(app, name: str | None = None) -> str:
+    """Load the app's real stylesheet onto `app`.
+
+    `MainWindow` does not style itself — `run()` calls `app.setStyleSheet` — so a
+    checker that builds the window directly measures a window with no padding,
+    no margins and no borders. Every QSS-driven layout bug is invisible there.
+    """
+    from cowork_local import theme
+    from cowork_local.config import AppConfig
+
+    name = name or AppConfig.load().theme
+    theme.set_active_theme(name)
+    app.setStyleSheet(theme.stylesheet(name))
+    return name
+
+
+def _freeze_schedulers() -> None:
+    """No-op the background engines so nothing is executed while we capture."""
+    from cowork_local.core.task_scheduler import TaskScheduler
+    TaskScheduler.start = lambda self: None                      # type: ignore[assignment]
+    try:
+        from cowork_local.core.routing.scheduler import RoutingScheduler
+        RoutingScheduler.start = lambda self: None                # type: ignore[assignment]
+    except Exception:
+        pass
+
+
+def main() -> int:
+    os.environ["QT_QPA_PLATFORM"] = "offscreen"
+    sandbox = _isolate_home()
+    sys.path.insert(0, str(REPO.parent))        # so `import cowork_local` works
+    sys.path.insert(0, str(Path(__file__).resolve().parent))   # sibling: seed_demo_data
+    OUT_DIR.mkdir(parents=True, exist_ok=True)
+
+    from PySide6.QtCore import Qt
+    from PySide6.QtWidgets import QApplication
+    app = QApplication([])
+
+    n_fonts = _load_fonts()
+    print(f"[fonts] registered {n_fonts} face(s) with the offscreen platform")
+    if not n_fonts:
+        print("  WARNING: no fonts loaded — every screenshot will render as tofu boxes")
+
+    _freeze_schedulers()
+
+    import cowork_local.theme as theme
+    from cowork_local.config import AppConfig, CONFIG_DIR
+    from cowork_local.i18n import set_language, tr
+    from cowork_local.state import AppContext
+
+    assert str(sandbox) in str(CONFIG_DIR), (
+        f"isolation failed: CONFIG_DIR={CONFIG_DIR} is not inside {sandbox}")
+    print(f"[isolated] CONFIG_DIR -> {CONFIG_DIR}")
+
+    # Fill the sandbox with demo data so the screenshots show a working app.
+    # Safe by construction: seed() re-asserts it is inside a capture sandbox.
+    from seed_demo_data import seed
+    counts = seed()
+    print("[seeded] " + " · ".join(f"{k}={v}" for k, v in counts.items()))
+
+    from cowork_local.app import MainWindow
+
+    cfg = AppConfig.load()
+    set_language("vi")
+    ctx = AppContext(cfg)
+
+    manifest: list[dict] = []
+    # Label of the nav row selected right now, recorded into every shot so the
+    # "is the rail pointing at the right thing?" question is machine-checked
+    # instead of eyeballed across 54 images.
+    nav_state = {"label": "", "expected": ""}
+
+    def nav_to(win, page: int, sub=None, expect: str = "") -> None:
+        """Navigate the way a user does, and record where the rail ends up.
+
+        Since the rail became a flat list, ``_goto`` moves the highlight itself
+        (``_select_nav_row``), so this no longer needs the two-step workaround
+        that existed while selecting a Workspace child destroyed the row being
+        selected.
+        """
+        win._ensure_page(page)
+        win._goto(page, sub)
+        app.processEvents()
+        app.processEvents()
+        cur = next((t.currentItem() for t in (win.nav, win.nav_bottom)
+                    if t.currentItem() is not None and t.currentItem().isSelected()),
+                   None)
+        nav_state["label"] = cur.text(0) if cur is not None else ""
+        nav_state["expected"] = expect or nav_state["label"]
+
+    def shot(widget, slug: str, title: str, note: str = "") -> None:
+        """Grab `widget` for the active theme; record success or the error."""
+        rec = {"slug": slug, "title": title, "theme": theme.current_theme(),
+               "note": note, "file": "", "error": "",
+               "nav": nav_state["label"], "nav_expected": nav_state["expected"]}
+        try:
+            app.processEvents()
+            app.processEvents()
+            pm = widget.grab()
+            if pm.isNull() or pm.width() < 2:
+                raise RuntimeError("grab() returned an empty pixmap")
+            name = f"{slug}-{theme.current_theme()}.png"
+            pm.save(str(OUT_DIR / name))
+            rec["file"] = f"screens/{name}"
+            print(f"  ok    {name}  ({pm.width()}x{pm.height()})")
+        except Exception as exc:                                  # noqa: BLE001
+            rec["error"] = f"{type(exc).__name__}: {exc}"
+            print(f"  FAIL  {slug}: {rec['error']}")
+        manifest.append(rec)
+
+    for th in THEMES:
+        print(f"\n=== theme: {th} ===")
+        ctx.config.theme = th
+        theme.set_active_theme(th)
+        app.setStyleSheet(theme.stylesheet(th))
+
+        win = MainWindow(ctx, user_name="local")
+        win.resize(1600, 1000)
+        win.show()
+        app.processEvents()
+
+        # ---- main screens, driven through the app's own navigation API ------
+        ROW_DASH, ROW_SCHED, ROW_WS, ROW_MON = 0, 1, 2, 3
+
+        nav_to(win, ROW_DASH, None, expect=tr("app.tab.dashboard"))
+        shot(win, "dashboard", "Dashboard", "ui/dashboard_tab.py:35")
+
+        nav_to(win, ROW_SCHED, None, expect=tr("app.tab.schedule"))
+        sched = win._page_widgets[ROW_SCHED]
+        shot(win, "schedule-kanban", "Schedule Task — Kanban", "ui/schedule_task_tab.py:70")
+        try:                        # combo index 1 == Calendar view
+            sched.view_combo.setCurrentIndex(1)
+            app.processEvents()
+            shot(win, "schedule-calendar", "Schedule Task — Calendar", "ui/calendar_view.py:88")
+            sched.view_combo.setCurrentIndex(0)
+        except Exception as exc:                                  # noqa: BLE001
+            manifest.append({"slug": "schedule-calendar", "title": "Schedule Task — Calendar",
+                             "theme": th, "note": "ui/calendar_view.py:88", "file": "",
+                             "error": f"{type(exc).__name__}: {exc}"})
+            print(f"  FAIL  schedule-calendar: {exc}")
+
+        # Workspace: capture with no project selected, then with one selected so
+        # the project-gated sub-tabs (Cowork, GraphRAG) actually exist.
+        nav_to(win, ROW_WS, None, expect=tr("app.tab.workspace"))
+        ws = win.workspace
+        shot(win, "workspace-project", "Workspace ▸ Project", "ui/workspace_tab.py:188")
+        try:
+            if ws.project_list.count():
+                ws.project_list.setCurrentRow(0)
+                app.processEvents()
+        except Exception:                                          # noqa: BLE001
+            pass
+
+        for attr, slug, title, note in (
+            ("_cowork_tab_idx",   "workspace-cowork",   "Workspace ▸ Cowork",   "ui/cowork_tab.py:21"),
+            ("_co4e_tab_idx",     "workspace-co4e",     "Workspace ▸ Co4E",     "ui/co4e_tab.py:228"),
+            ("_folder_tab_idx",   "workspace-folder",   "Workspace ▸ Folder",   "ui/folder_tab.py:238"),
+            ("_graphrag_tab_idx", "workspace-graphrag", "Workspace ▸ GraphRAG", "ui/structure_graph_view.py:188"),
+        ):
+            idx = getattr(ws, attr, None)
+            if idx is None:
+                manifest.append({"slug": slug, "title": title, "theme": th, "note": note,
+                                 "file": "", "error": "sub-tab index not present"})
+                continue
+            nav_to(win, ROW_WS, idx, expect=ws.tabs.tabText(idx))
+            shot(win, slug, title, note)
+
+        # Monitoring: enumerate its sub-tabs from the app itself.
+        nav_to(win, ROW_MON, None, expect=tr("app.tab.monitoring"))
+        mon = win._page_widgets[ROW_MON]
+        try:
+            subs = mon.nav_subtabs()
+        except Exception as exc:                                   # noqa: BLE001
+            subs = []
+            print(f"  FAIL  monitoring subtabs: {exc}")
+        for label, sub, _icon in subs:
+            nav_to(win, ROW_MON, sub, expect=label)
+            slug = "monitoring-" + "".join(
+                c.lower() if c.isalnum() else "-" for c in label).strip("-")
+            shot(win, slug, f"Monitoring ▸ {label}", "ui/monitoring_tab.py:132")
+
+        # Dialogs/overlays below are not nav destinations.
+        nav_state["label"] = nav_state["expected"] = ""
+
+        # ---- dialogs: built directly and shown (never exec(), it blocks) -----
+        for slug, title, note, build in _dialog_specs(ctx, win):
+            try:
+                dlg = build()
+                dlg.show()
+                app.processEvents()
+                shot(dlg, slug, title, note)
+                dlg.close()
+            except Exception as exc:                               # noqa: BLE001
+                manifest.append({"slug": slug, "title": title, "theme": th, "note": note,
+                                 "file": "", "error": f"{type(exc).__name__}: {exc}"})
+                print(f"  FAIL  {slug}: {type(exc).__name__}: {exc}")
+
+        # ---- overlays --------------------------------------------------------
+        try:
+            help_dock = win.help_agent
+            help_dock._expand()
+            app.processEvents()
+            shot(help_dock, "overlay-help-panel", "Help dock — expanded panel",
+                 "ui/help_agent_widget.py:79")
+        except Exception as exc:                                   # noqa: BLE001
+            print(f"  FAIL  overlay-help-panel: {exc}")
+
+        win.close()
+
+    (OUT_DIR / "manifest.json").write_text(
+        json.dumps(manifest, indent=2, ensure_ascii=False), encoding="utf-8")
+
+    bad_nav = [r for r in manifest
+               if r["nav_expected"] and r["nav"] != r["nav_expected"]]
+    checked = sum(1 for r in manifest if r["nav_expected"])
+    print(f"\n[nav] rail selection matches the screen: {checked - len(bad_nav)}/{checked}")
+    for r in bad_nav:
+        print(f"  MISMATCH {r['slug']} [{r['theme']}]: "
+              f"rail says '{r['nav']}', screen is '{r['nav_expected']}'")
+
+    ok = sum(1 for r in manifest if r["file"])
+    bad = [r for r in manifest if not r["file"]]
+    print(f"\ncaptured {ok}/{len(manifest)}")
+    if bad:
+        print("could NOT capture (recorded in manifest, shown as placeholders):")
+        for r in bad:
+            print(f"  - {r['slug']} [{r['theme']}]: {r['error']}")
+    print(f"sandbox (safe to delete): {sandbox}")
+    return 0
+
+
+def _dialog_specs(ctx, win):
+    """(slug, title, note, factory) for each dialog we can build headlessly.
+
+    Signatures differ per dialog (some take ctx first, some take parent first,
+    some require a real model object) — each factory below matches the actual
+    ``__init__`` it calls, not a guessed one.
+    """
+    # NOTE: two different classes share the name `CustomAgent` —
+    # core/custom_agents.py:23 and core/co4e.py:117. Co4EAgentDialog uses the
+    # co4e one (it has `.role`); importing the other raises AttributeError.
+    from cowork_local.core.co4e import CustomAgent
+    from cowork_local.ui.settings_dialog import SettingsDialog
+    from cowork_local.ui.task_editor_dialog import TaskEditorDialog
+    from cowork_local.ui.skills_dialog import SkillsDialog, SkillEditDialog
+    from cowork_local.ui.file_edit_dialog import FileEditDialog
+    from cowork_local.ui.co4e_agent_dialog import Co4EAgentDialog
+    from cowork_local.ui.ext_connector_dialog import ExtConnectorEditDialog
+    from cowork_local.ui.permission_dialog import PermissionDialog
+    from cowork_local.ui.agents_admin_tab import AgentEditDialog
+    from cowork_local.ui.login_dialog import LoginDialog
+
+    return [
+        # SettingsDialog(ctx, parent)
+        ("dialog-settings", "Settings", "ui/settings_dialog.py:26",
+         lambda: SettingsDialog(ctx, win)),
+        # TaskEditorDialog(task, all_tasks, parent, ctx)
+        ("dialog-task-editor", "Task Editor", "ui/task_editor_dialog.py:55",
+         lambda: TaskEditorDialog(None, [], win, ctx)),
+        # SkillsDialog(parent, ctx)
+        ("dialog-skills", "Skills manager", "ui/skills_dialog.py:108",
+         lambda: SkillsDialog(win, ctx)),
+        # SkillEditDialog(parent, skill, ctx)
+        ("dialog-skill-edit", "Skill editor", "ui/skills_dialog.py:23",
+         lambda: SkillEditDialog(win, None, ctx)),
+        ("dialog-file-edit", "File view & AI edit", "ui/file_edit_dialog.py:50",
+         lambda: FileEditDialog(ctx, "", win)),
+        # Co4EAgentDialog(ctx, agent, skill_names, parent) — agent must be real
+        ("dialog-co4e-agent", "Co4E agent editor", "ui/co4e_agent_dialog.py:23",
+         lambda: Co4EAgentDialog(ctx, CustomAgent(id="preview"), [], win)),
+        # ExtConnectorEditDialog(parent, category, connector)
+        ("dialog-ext-connector", "External connector", "ui/ext_connector_dialog.py:23",
+         lambda: ExtConnectorEditDialog(win, "other", None)),
+        # PermissionDialog(action, parent) — `preview` is a dict, not a string
+        ("dialog-permission", "Permission request", "ui/permission_dialog.py:13",
+         lambda: PermissionDialog(
+             {"name": "run_command",
+              "preview": {"title": "Run command", "kind": "command",
+                          "text": "npm install --save-dev vitest"}}, win)),
+        # AgentEditDialog(parent, ctx, agent, default_model_hint)
+        ("dialog-agent-edit", "Admin agent editor", "ui/agents_admin_tab.py:35",
+         lambda: AgentEditDialog(win, ctx, None, "")),
+        ("dialog-login", "Login (dead screen — not wired)", "ui/login_dialog.py:57",
+         lambda: LoginDialog(ctx, win)),
+    ]
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tools/check_co4e.py b/tools/check_co4e.py
new file mode 100644
index 0000000..ac3a87b
--- /dev/null
+++ b/tools/check_co4e.py
@@ -0,0 +1,204 @@
+"""Check the Co4E sidebar rearrangement, on the real widget, offscreen.
+
+Phase D only moved things and added a second door to "new flow". So the test
+that matters is a subtraction test: every control that existed before must still
+exist, the flow tab strip (which carries the pinned Runs tab and lets several
+flows stay open) must be untouched, and the section headings must actually name
+the list you are looking at — in all three languages.
+
+Run:  python tools/check_co4e.py
+"""
+from __future__ import annotations
+
+import os
+import sys
+
+sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(REPO.parent))
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+os.environ.setdefault("QT_QPA_PLATFORM", "offscreen")
+
+from capture_screens import _apply_theme, _isolate_home, _load_fonts  # noqa: E402
+
+# Every control the sidebar and the flow area had before these changes.
+EXPECTED = [
+    "wf_list", "wf_edit_btn", "wf_dup_btn", "wf_del_btn", "wf_runbg_btn",
+    "agent_list", "ag_new_btn", "ag_edit_btn", "ag_del_btn",
+    "skill_list", "sk_manage_btn",
+    # Runs moved off the strip onto a toggle + a back button.
+    "runs_btn", "runs_back_btn", "runs_table", "runs_side_list", "runs_more_btn",
+    "name_edit", "add_step_btn", "save_btn", "save_tpl_btn", "mode_combo", "run_btn",
+    "run_stop_btn", "run_rename_btn", "run_del_btn", "run_clear_btn", "ws_folder_btn",
+]
+
+
+def main() -> int:
+    sandbox = _isolate_home()
+    from PySide6.QtWidgets import QApplication
+
+    app = QApplication([])
+    _load_fonts()
+
+    _apply_theme(app)   # measure the styled widget, not a bare one
+    from cowork_local.config import AppConfig, CONFIG_DIR
+    assert str(sandbox) in str(CONFIG_DIR), f"isolation failed: {CONFIG_DIR}"
+
+    from seed_demo_data import seed
+    seed()
+
+    from cowork_local.i18n import set_language, tr
+    from cowork_local.state import AppContext
+    from cowork_local.ui.co4e_tab import Co4ETab
+
+    set_language("vi")
+    tab = Co4ETab(AppContext(AppConfig.load()))
+    app.processEvents()
+
+    fails: list[str] = []
+
+    missing = [n for n in EXPECTED if getattr(tab, n, None) is None]
+    print(f"control cu con nguyen : {len(EXPECTED) - len(missing)}/{len(EXPECTED)}")
+    if missing:
+        fails.append(f"mat control: {missing}")
+
+    # The strip is gone from the screen, as the drawing asks.
+    strip_shown = tab.flow_scroll.isVisible() or tab.flow_add_btn.isVisible()
+    print(f"dai tab flow tren man : {strip_shown} (phai la False)")
+    if strip_shown:
+        fails.append("dai tab flow van con hien")
+
+    # What the strip carried must still work. 1) Flow Status, both directions.
+    tab.runs_btn.setChecked(True)
+    app.processEvents()
+    on_runs = tab.center_stack.currentIndex() == 0
+    tab.runs_back_btn.click()
+    app.processEvents()
+    back = tab.center_stack.currentIndex() == 1
+    print(f"Flow Status: mo = {on_runs} · quay ve flow = {back} "
+          f"· nut gat dang bat = {tab.runs_btn.isChecked()}")
+    if not (on_runs and back):
+        fails.append("khong di/ve duoc trang Flow Status")
+    if tab.runs_btn.isChecked():
+        fails.append("nut gat Flow Status khong tra ve trang thai tat")
+
+    # 2) Opening a flow from the list REPLACES the one on the canvas — one at a
+    #    time now, which is the part of the old strip that genuinely goes away.
+    from cowork_local.core import co4e as _co4e
+    tab._open_flow(_co4e.new_workflow("Flow A"))
+    app.processEvents()
+    tab._open_flow(_co4e.new_workflow("Flow B"))
+    app.processEvents()
+    print(f"mo 2 flow lien tiep   : con {len(tab._flows)} flow tren canvas "
+          f"({tab._wf.name!r})")
+    if len(tab._flows) != 1:
+        fails.append(f"cho 1 flow mo cung luc, thay {len(tab._flows)}")
+
+    # One column, four named sections — no icon tabs left.
+    from PySide6.QtWidgets import QTabWidget
+    heads = [h.text() for h, _b, _s in tab._sections.values()]
+    print(f"cot sidebar           : {heads}")
+    if len(heads) != 4:
+        fails.append(f"cho 4 muc trong cot sidebar, thay {len(heads)}")
+    if tab.sidebar.findChildren(QTabWidget):
+        fails.append("van con tab icon trong sidebar")
+
+    # Every list visible at once — that is the point of dropping the tabs.
+    tab.show()
+    app.processEvents()
+    shown = [n for n in ("wf_list", "agent_list", "skill_list", "runs_side_list")
+             if not getattr(tab, n).isHidden()]
+    print(f"danh sach hien cung luc: {shown}")
+    if len(shown) != 4:
+        fails.append(f"chi {len(shown)}/4 danh sach hien cung luc")
+
+    # Headings fold their section, so a short window can still reach everything.
+    head, body, _s = tab._sections["co4e.tab_agents"]
+    head.setChecked(False)
+    app.processEvents()
+    folded = body.isHidden()
+    head.setChecked(True)
+    app.processEvents()
+    print(f"gap/mo muc AGENTS      : gap = {folded} · mo lai = {not body.isHidden()}")
+    if not folded:
+        fails.append("bam tieu de khong gap duoc muc")
+
+    # Both new-flow doors must land on the same slot.
+    print(f"'Moi' canh WORKFLOWS  : {tab.wf_new_btn.text()!r}")
+    before = tab._wf.name
+    tab.wf_new_btn.click()
+    app.processEvents()
+    print(f"bam 'Moi' -> flow tren canvas {before!r} -> {tab._wf.name!r}")
+    if tab._wf.name == before:
+        fails.append("nut 'Moi' canh WORKFLOWS khong tao flow moi")
+
+    # The action buttons that act on a selection stayed with the list.
+    print(f"nut duoi danh sach     : agents = "
+          f"{[b.toolTip() for b in (tab.ag_edit_btn, tab.ag_del_btn)]}")
+
+    # --- small screens ------------------------------------------------------
+    # The complaint that started this: on a laptop the four lists squeezed down
+    # to one row each. Check real geometry at a few window heights.
+    print()
+    for w, h in ((1920, 1080), (1366, 768), (1280, 720)):
+        tab.resize(w, h)
+        app.processEvents()
+        app.processEvents()
+        heights = {n: getattr(tab, n).height()
+                   for n in ("wf_list", "agent_list", "skill_list", "runs_side_list")}
+        rows = {n: (getattr(tab, n).height() // max(1, getattr(tab, n).sizeHintForRow(0) or 18))
+                for n in heights}
+        print(f"{w}x{h}: cao = {heights} · so dong thay duoc = {rows}")
+        thin = [n for n, v in heights.items() if v < 50]
+        if thin:
+            fails.append(f"o {w}x{h}, danh sach qua thap: {thin}")
+
+    # Folding must hand its height to the others, not just hide the body.
+    tab.resize(1280, 720)
+    app.processEvents()
+    before = tab.wf_list.height()
+    for key in ("co4e.tab_skills", "co4e.runs_tab"):
+        tab._sections[key][0].setChecked(False)
+    app.processEvents(); app.processEvents()
+    after = tab.wf_list.height()
+    print(f"gap SKILLS + FLOW STATUS -> WORKFLOWS cao {before} -> {after}px")
+    if after <= before:
+        fails.append("gap muc khac ma WORKFLOWS khong duoc them cho")
+    for key in ("co4e.tab_skills", "co4e.runs_tab"):
+        tab._sections[key][0].setChecked(True)
+    app.processEvents()
+
+    print()
+    for lang in ("vi", "en", "ja"):
+        set_language(lang)
+        tab._retranslate()
+        app.processEvents()
+        texts = [h.text() for h, _b, _s in tab._sections.values()]
+        print(f"  {lang}: {texts}")
+        print(f"        nut moi = {tab.wf_new_btn.text()!r}"
+              f" · runs = {tab.runs_btn.text()!r} / {tab.runs_back_btn.text()!r}")
+        if any(not t or "CO4E." in t for t in texts):
+            fails.append(f"thieu ban dich tieu de muc cho {lang}")
+    set_language("vi")
+
+    print()
+    if fails:
+        print("*** LOI ***")
+        for f in fails:
+            print("   " + f)
+        return 1
+    print("KET QUA: Co4E sap xep lai, khong mat control nao")
+    return 0
+
+
+if __name__ == "__main__":
+    _rc = main()
+    # Qt (WebEngine especially) crashes during interpreter teardown with
+    # 0xC0000409 AFTER the work is done, which would mask the real result —
+    # and check_probes_bite reads these exit codes to decide whether a probe
+    # caught its mutation. Leave immediately with the verdict instead.
+    sys.stdout.flush()
+    sys.stderr.flush()
+    os._exit(_rc)
diff --git a/tools/check_combo_popup.py b/tools/check_combo_popup.py
new file mode 100644
index 0000000..abd423a
--- /dev/null
+++ b/tools/check_combo_popup.py
@@ -0,0 +1,94 @@
+"""A drop-list must have room for its text and for the tick beside it.
+
+macOS marks the current row with a checkmark; Windows does not. The language
+combo is only as wide as "VN", and the popup inherits that width, so on macOS
+the tick landed on top of the two letters. Reported from a Mac, so this checks
+the property that made it possible rather than the platform.
+"""
+from __future__ import annotations
+
+import os
+import sys
+
+sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(REPO.parent))
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+os.environ.setdefault("QT_QPA_PLATFORM", "offscreen")
+
+from capture_screens import (  # noqa: E402
+    _apply_theme, _freeze_schedulers, _isolate_home, _load_fonts)
+
+
+def main() -> int:
+    sandbox = _isolate_home()
+    from PySide6.QtWidgets import QApplication, QStyle
+
+    app = QApplication([])
+    _load_fonts()
+    _freeze_schedulers()
+    _apply_theme(app)
+
+    from cowork_local.config import CONFIG_DIR
+    assert str(sandbox) in str(CONFIG_DIR), f"isolation failed: {CONFIG_DIR}"
+
+    from seed_demo_data import seed
+    seed()
+
+    from cowork_local.app import MainWindow
+    from cowork_local.config import AppConfig
+    from cowork_local.i18n import set_language
+    from cowork_local.state import AppContext
+
+    set_language("vi")
+    win = MainWindow(AppContext(AppConfig.load()), user_name="local")
+    win.resize(1400, 900)
+    win.show()
+    app.processEvents()
+
+    fails = []
+    from PySide6.QtWidgets import QStyledItemDelegate
+    for name in ("language_combo", "nav_project", "provider_combo"):
+        combo = getattr(win, name, None)
+        if combo is None or not combo.count():
+            continue
+        view = combo.view()
+        fm = view.fontMetrics()
+        longest = max(fm.horizontalAdvance(combo.itemText(i))
+                      for i in range(combo.count()))
+        tick = combo.style().pixelMetric(QStyle.PM_IndicatorWidth, None, combo)
+        need = longest + tick
+        have = max(view.minimumWidth(), combo.width())
+        print(f"{name:15}: chu dai nhat {longest:>4}px + dau tick {tick:>3}px "
+              f"= can {need:>4}px | popup rong {have:>4}px")
+        if have < need:
+            fails.append(f"{name}: popup {have}px, khong du {need}px cho chu + dau tick")
+
+        # No tick: the row is already tinted, and the menu-style delegate that
+        # draws one on macOS covered the two letters it was marking.
+        deleg = combo.itemDelegate()
+        plain = type(deleg) is QStyledItemDelegate
+        print(f"{'':15}  delegate={type(deleg).__name__} (khong ve dau tick={plain})")
+        if not plain:
+            fails.append(f"{name}: dung delegate kieu menu — macOS se ve dau tick")
+
+        # ...and the current row must still be obvious without one.
+        view = combo.view()
+        sheet = app.styleSheet()
+        if "selection-background-color" not in sheet:
+            fails.append("popup khong to mau muc dang chon")
+
+    print()
+    for f in fails:
+        print("FAIL  " + f)
+    print("PASS  moi drop-list du cho chu va dau tick" if not fails
+          else f"{len(fails)} problem(s)")
+    sys.stdout.flush()
+    os._exit(1 if fails else 0)
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tools/check_controls_alive.py b/tools/check_controls_alive.py
new file mode 100644
index 0000000..9979d26
--- /dev/null
+++ b/tools/check_controls_alive.py
@@ -0,0 +1,219 @@
+"""Round 3: is every control in the inventory still in the built app?
+
+docs/screens/controls.json was extracted from the source by AST before the
+redesign started. Rounds 1 and 2 ask whether the new shape is right; this one
+asks the opposite question — whether rearranging dropped anything.
+
+A control counts as alive if the attribute still exists on its screen's widget
+AND is a real QWidget. Ones that were deliberately moved or replaced are listed
+in MOVED with where they went, so an intentional change reads differently from
+an accidental loss.
+
+Run:  python tools/check_controls_alive.py
+"""
+from __future__ import annotations
+
+import json
+import os
+import sys
+
+sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(REPO.parent))
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+os.environ.setdefault("QT_QPA_PLATFORM", "offscreen")
+
+from capture_screens import _apply_theme, _freeze_schedulers, _isolate_home, _load_fonts  # noqa: E402
+
+# controls.json lists every control in a FILE, and several files hold more than
+# one class (schedule_task_tab.py alone has the tab plus three dialogs). Only
+# the screen's own class lives on the widget we can inspect, so each control is
+# attributed to its class first, using the file as it was when the inventory
+# was taken — that is the baseline commit, not today's line numbers.
+BASELINE = "291a611"
+
+
+def class_ranges(path: str) -> list[tuple[str, int, int]]:
+    """(class name, first line, last line) from the file at BASELINE."""
+    import ast
+    import subprocess
+    try:
+        src = subprocess.run(["git", "show", f"{BASELINE}:{path}"],
+                             cwd=REPO, capture_output=True, text=True,
+                             encoding="utf-8", check=True).stdout
+    except Exception:                                        # noqa: BLE001
+        return []
+    try:
+        tree = ast.parse(src)
+    except SyntaxError:
+        return []
+    return [(n.name, n.lineno, max(getattr(x, "lineno", n.lineno)
+                                   for x in ast.walk(n)))
+            for n in tree.body if isinstance(n, ast.ClassDef)]
+
+
+def owning_class(ranges, line: int) -> str:
+    for name, start, end in ranges:
+        if start <= line <= end:
+            return name
+    return ""
+
+
+# Controls that are gone ON PURPOSE, with what replaced them. Anything missing
+# and NOT listed here is a regression.
+MOVED = {
+    "ui\\help_agent_widget.py": {
+        "self.collapse_btn": "→ mục 'Ẩn trợ lý' trong menu ⋯ của panel",
+    },
+    "ui\\monitoring_tab.py": {
+        # e6adfd9 turned one Refresh in the Monitoring header into one per
+        # table (page.title_refresh_btn on Bảo mật / MCP / Hành động / Agent).
+        # Tổng quan gets none because it auto-refreshes every 3s (_REFRESH_MS);
+        # Icon has nothing to refresh.
+        "self.refresh_btn": "→ nút 'Làm mới' riêng trên từng bảng (title_refresh_btn)",
+    },
+    "ui\\schedule_task_tab.py": {
+        "self.view_combo": "→ cặp tab Kanban | Lịch (view_tabs)",
+    },
+    "ui\\folder_tab.py": {
+        "self.path_edit": "→ tiêu đề màn (path_lbl)",
+    },
+    "ui\\structure_graph_view.py": {
+        "self._msgs_toggle_btn": "→ cặp tab Đồ thị | Tin nhắn (view_tabs)",
+    },
+    "app.py": {
+        "self.settings_btn": "→ nút Cài đặt ở đáy rail (_nav_settings_btn)",
+    },
+}
+
+# The class whose controls each owner widget actually holds.
+MAIN_CLASS = {
+    "app.py": "MainWindow",
+    "ui\\workspace_tab.py": "WorkspaceTab",
+    "ui\\cowork_tab.py": "CoworkTab",
+    "ui\\chat_panel.py": "ChatPanel",
+    "ui\\composer.py": "Composer",
+    "ui\\sidebar.py": "HistorySidebar",
+    "ui\\co4e_tab.py": "Co4ETab",
+    "ui\\folder_tab.py": "FolderTab",
+    "ui\\structure_graph_view.py": "StructureGraphView",
+    "ui\\schedule_task_tab.py": "ScheduleTaskTab",
+    "ui\\dashboard_tab.py": "DashboardTab",
+    "ui\\monitoring_tab.py": "MonitoringTab",
+    "ui\\help_agent_widget.py": "HelpAgentWidget",
+}
+
+# Which built widget owns each source file's controls.
+def owners(win):
+    ws = win.workspace
+    import cowork_local.ui.co4e_tab as co4e_mod
+    return {
+        "app.py": win,
+        "ui\\workspace_tab.py": ws,
+        "ui\\cowork_tab.py": ws._cowork,
+        "ui\\chat_panel.py": ws._cowork,
+        "ui\\composer.py": ws._cowork.composer,
+        "ui\\sidebar.py": win.sidebar,
+        "ui\\co4e_tab.py": win.findChildren(co4e_mod.Co4ETab)[0],
+        "ui\\folder_tab.py": ws.tabs.widget(ws._folder_tab_idx),
+        "ui\\structure_graph_view.py": ws.tabs.widget(ws._graphrag_tab_idx),
+        "ui\\schedule_task_tab.py": win._page_widgets[win._ROW_SCHEDULE],
+        "ui\\dashboard_tab.py": win._page_widgets[win._ROW_DASHBOARD],
+        "ui\\monitoring_tab.py": win._page_widgets[win._ROW_MONITORING],
+        "ui\\help_agent_widget.py": win.help_agent,
+    }
+
+
+def main() -> int:
+    sandbox = _isolate_home()
+    from PySide6.QtWidgets import QApplication
+
+    app = QApplication([])
+    _load_fonts()
+    _freeze_schedulers()
+
+    _apply_theme(app)   # measure the styled window, not a bare one
+    from cowork_local.config import AppConfig, CONFIG_DIR
+    assert str(sandbox) in str(CONFIG_DIR), f"isolation failed: {CONFIG_DIR}"
+
+    from seed_demo_data import seed
+    seed()
+
+    from cowork_local.app import MainWindow
+    from cowork_local.i18n import set_language
+    from cowork_local.state import AppContext
+
+    set_language("vi")
+    win = MainWindow(AppContext(AppConfig.load()), user_name="local")
+    win.resize(1600, 950)
+    win.show()
+    # Build every lazy page before looking for its controls.
+    for row in (win._ROW_DASHBOARD, win._ROW_SCHEDULE, win._ROW_MONITORING):
+        win._goto(row, None)
+        for _ in range(6):
+            app.processEvents()
+    for sub in range(win.workspace.tabs.count()):
+        win._goto(win._ROW_WORKSPACE, sub)
+        for _ in range(6):
+            app.processEvents()
+
+    index = json.loads((REPO / "docs" / "screens" / "controls.json")
+                       .read_text(encoding="utf-8"))
+    own = owners(win)
+
+    alive = dead = moved = skipped = other_class = 0
+    losses: list[tuple[str, str, str]] = []
+    for rec in index:
+        holder = own.get(rec["file"])
+        if holder is None:
+            skipped += len(rec["controls"])
+            continue
+        ranges = class_ranges(rec["file"].replace("\\", "/"))
+        want = MAIN_CLASS.get(rec["file"], "")
+        for c in rec["controls"]:
+            var = c["var"]
+            if not var.startswith("self."):
+                skipped += 1
+                continue
+            # Belongs to a dialog defined in the same file → not on this widget.
+            if ranges and want and owning_class(ranges, c["line"]) != want:
+                other_class += 1
+                continue
+            name = var.split(".", 1)[1]
+            if getattr(holder, name, None) is not None:
+                alive += 1
+            elif var in MOVED.get(rec["file"], {}):
+                moved += 1
+            else:
+                dead += 1
+                losses.append((rec["file"], var,
+                               c.get("label_vi") or c.get("label") or "?"))
+
+    print(f"control con song    : {alive}")
+    print(f"co y doi cho        : {moved}")
+    for f, v, w in [(f, v, MOVED[f][v]) for f in MOVED for v in MOVED[f]]:
+        print(f"   {v:26} {w}")
+    print(f"thuoc class khac    : {other_class}  (hop thoai dinh nghia cung file)")
+    print(f"khong kiem duoc     : {skipped}  (dialog dung rieng, bien cuc bo)")
+    print(f"MAT                 : {dead}")
+    for f, var, label in losses:
+        print(f"   ! {f}: {var}  ({label})")
+    print()
+    if dead:
+        print("*** VONG 3 THAT BAI: co control bien mat ***")
+        return 1
+    print("KET QUA VONG 3: khong control nao bien mat ngoai y muon")
+    return 0
+
+
+if __name__ == "__main__":
+    _rc = main()
+    # Qt (WebEngine especially) crashes during interpreter teardown with
+    # 0xC0000409 AFTER the work is done, which would mask the real result —
+    # and check_probes_bite reads these exit codes to decide whether a probe
+    # caught its mutation. Leave immediately with the verdict instead.
+    sys.stdout.flush()
+    sys.stderr.flush()
+    os._exit(_rc)
diff --git a/tools/check_cowork_screen.py b/tools/check_cowork_screen.py
new file mode 100644
index 0000000..bbc1ecf
--- /dev/null
+++ b/tools/check_cowork_screen.py
@@ -0,0 +1,177 @@
+"""Workspace ▸ Cowork against its wireframe (section 5).
+
+The drawing heads the screen with the THREAD's title — "Gom số liệu doanh thu",
+not the word "Cowork" — with the model beside it, Skills and Cuộc trò chuyện mới
+on the right, and a caps TỆP ĐẦU RA (n) panel down the side.
+"""
+from __future__ import annotations
+
+import os
+import sys
+
+sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(REPO.parent))
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+os.environ.setdefault("QT_QPA_PLATFORM", "offscreen")
+
+from capture_screens import (  # noqa: E402
+    _apply_theme, _freeze_schedulers, _isolate_home, _load_fonts)
+
+
+def main() -> int:
+    sandbox = _isolate_home()
+    from PySide6.QtWidgets import QApplication
+
+    app = QApplication([])
+    _load_fonts()
+    _freeze_schedulers()
+    _apply_theme(app)
+
+    from cowork_local.config import CONFIG_DIR
+    assert str(sandbox) in str(CONFIG_DIR), f"isolation failed: {CONFIG_DIR}"
+
+    from seed_demo_data import seed
+    seed()
+
+    from cowork_local.app import MainWindow
+    from cowork_local.config import AppConfig
+    from cowork_local.core.history import list_conversations, load_conversation
+    from cowork_local.i18n import set_language, tr
+    from cowork_local.state import AppContext
+
+    set_language("vi")
+    win = MainWindow(AppContext(AppConfig.load()), user_name="local")
+    win.resize(1920, 1000)
+    win.show()
+    app.processEvents()
+    win._goto(win._ROW_WORKSPACE, win.workspace._cowork_tab_idx)
+    app.processEvents()
+    c = win.cowork
+    fails = []
+
+    # a new thread has no title yet, so the screen name stands in
+    print(f"chua mo thread: tieu de={c._title_lbl.text()!r}")
+    if not c._title_lbl.text().strip():
+        fails.append("tieu de trong khi chua mo thread")
+
+    convs = list_conversations()
+    if not convs:
+        fails.append("khong co hoi thoai de kiem")
+    else:
+        conv = load_conversation(Path(convs[0]["path"]))
+        c.load_conversation(conv)
+        app.processEvents()
+        want = conv.get("title", "")
+        print(f"sau khi mo thread: tieu de={c._title_lbl.text()!r} (thread={want!r})")
+        if want and c._title_lbl.text() != want:
+            fails.append(f"tieu de khong theo thread: {c._title_lbl.text()!r} != {want!r}")
+        if c._title_lbl.text() == tr("cowork.title") and want:
+            fails.append("tieu de van la ten man hinh")
+
+    # the files panel is a caps section carrying its own count
+    head = c.output_section.header.text()
+    print(f"pane tep dau ra: {head!r}")
+    body = head.lstrip("▾▸ ").split(" (")[0]
+    if body != body.upper():
+        fails.append(f"tieu de pane chua viet hoa: {head!r}")
+    if "(" not in head:
+        fails.append("tieu de pane khong kem so luong")
+
+    # toolbar keeps both actions the drawing shows
+    for name, btn in (("Skills", c.skills_btn), ("chat moi", c._new_btn)):
+        if not btn.isVisible():
+            fails.append(f"thieu nut {name} tren thanh cong cu")
+    print(f"nut tren thanh cong cu: {c.skills_btn.text()!r}, {c._new_btn.text()!r}")
+
+    # the status strip, read left to right, is
+    #   Agent: … · Định tuyến: … · ↓in ↑out · $cost · 📁 folder
+    from PySide6.QtCore import QPoint as _P
+
+    bar = c._usage_total_lbl.parentWidget()
+    def _x(widget):
+        return widget.mapTo(bar, _P(0, 0)).x()
+
+    usage_text = c._usage_total_lbl.text()
+    print(f"usage tren dai: {usage_text!r}")
+    if not usage_text.strip():
+        fails.append("dai duoi khong hien token/chi phi cua thread da mo")
+    order = [("Agent", _x(c._agent_lbl)), ("Dinh tuyen", _x(c.routing_toggle)),
+             ("usage", _x(c._usage_total_lbl))]
+    folder = getattr(c, "folder_lbl", None)
+    if folder is not None:
+        order.append(("thu muc", _x(folder)))
+    print("thu tu: " + " < ".join(f"{n}({x})" for n, x in order))
+    for (n1, x1), (n2, x2) in zip(order, order[1:]):
+        if x1 >= x2:
+            fails.append(f"dai duoi sai thu tu: {n1} khong dung truoc {n2}")
+
+    # the drawing gives Cowork two columns; History lives in the rail's RECENTS
+    # and its pane arrives folded to the strip the drawing keeps
+    w = win.workspace
+    sb = w._sidebar
+    print(f"vao Cowork: History hien={sb.isVisible()}")
+    if sb.isVisible():
+        fails.append("pane Lich su van o tren man Cowork — ban ve chi co 2 cot")
+    w.show_history_pane()
+    app.processEvents()
+    print(f"sau 'Tat ca project…': History hien={sb.isVisible()} rong={sb.width()}px")
+    if not sb.isVisible():
+        fails.append("'Tat ca project…' khong mo duoc pane Lich su")
+    w._on_history_fold(True)
+    app.processEvents()
+
+    # one heading on the files panel, with the chevron at its right — the
+    # drawing has "TỆP ĐẦU RA (3) ›" and nothing above it
+    from PySide6.QtCore import QPoint as _QP
+
+    hdr_w = c.output_section.header
+    chev = c._io_collapse_btn
+    same_row = abs(hdr_w.mapTo(c, _QP(0, 0)).y() - chev.mapTo(c, _QP(0, 0)).y()) <= 8
+    chev_right = chev.mapTo(c, _QP(0, 0)).x() > hdr_w.mapTo(c, _QP(0, 0)).x()
+    # Count what the panel actually shows as headings. Asking whether the old
+    # label is visible proved nothing: unparented, it reports invisible whether
+    # or not the code hides it.
+    from PySide6.QtWidgets import QLabel
+
+    heads = [l.text() for l in c._io_widget.findChildren(QLabel)
+             if l.isVisible() and l.text().strip()]
+    print(f"tieu de hien trong pane: {heads} | "
+          f"chevron cung hang={same_row} ben phai={chev_right}")
+    if heads:
+        fails.append(f"pane co tieu de thua ngoai '{hdr_w.text()}': {heads}")
+    if not (same_row and chev_right):
+        fails.append("chevron thu gon khong nam cuoi hang tieu de pane")
+
+    # the composer spans the screen, under BOTH columns — inside the chat
+    # column it stopped at the files panel's edge and shrank when files arrived
+    from PySide6.QtCore import QPoint
+
+    c._set_io_collapsed(False)
+    app.processEvents()
+    split = c.center_split
+    files_pane = split.widget(1)
+    comp_right = c.composer.mapTo(c, QPoint(c.composer.width(), 0)).x()
+    files_left = files_pane.mapTo(c, QPoint(0, 0)).x()
+    below = c.composer.mapTo(c, QPoint(0, 0)).y() > split.mapTo(c, QPoint(0, 0)).y()
+    spans = comp_right > files_left
+    print(f"o nhap: rong {c.composer.width()} / man {c.width()} | "
+          f"duoi splitter={below} | trai qua duoi pane tep={spans}")
+    if not below:
+        fails.append("o nhap khong nam duoi hang than")
+    if not spans:
+        fails.append("o nhap dung lai o mep pane tep, khong trai het man")
+
+    print()
+    for f in fails:
+        print("FAIL  " + f)
+    print("PASS  man Cowork khop ban ve" if not fails else f"{len(fails)} problem(s)")
+    sys.stdout.flush()
+    os._exit(1 if fails else 0)
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tools/check_dashboard.py b/tools/check_dashboard.py
new file mode 100644
index 0000000..0c856a2
--- /dev/null
+++ b/tools/check_dashboard.py
@@ -0,0 +1,95 @@
+"""Check the Dashboard header regroup, on the real widget, offscreen.
+
+Nine controls were on one row. They are now on two, grouped by what they do —
+so this asserts that all nine are still present, still wired, and that the
+header really is two rows now (row 1 = title + Refresh, row 2 = the selectors).
+
+Run:  python tools/check_dashboard.py
+"""
+from __future__ import annotations
+
+import os
+import sys
+
+sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(REPO.parent))
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+os.environ.setdefault("QT_QPA_PLATFORM", "offscreen")
+
+from capture_screens import _apply_theme, _isolate_home, _load_fonts  # noqa: E402
+
+HEADER = ["_title", "chart_prev_btn", "_chart_period_lbl", "chart_next_btn",
+          "gran_combo", "metric_combo", "currency_lbl", "currency_combo",
+          "refresh_btn"]
+
+
+def main() -> int:
+    sandbox = _isolate_home()
+    from PySide6.QtWidgets import QApplication
+
+    app = QApplication([])
+    _load_fonts()
+
+    _apply_theme(app)   # measure the styled widget, not a bare one
+    from cowork_local.config import AppConfig, CONFIG_DIR
+    assert str(sandbox) in str(CONFIG_DIR), f"isolation failed: {CONFIG_DIR}"
+
+    from seed_demo_data import seed
+    seed()
+
+    from cowork_local.i18n import set_language
+    from cowork_local.state import AppContext
+    from cowork_local.ui.dashboard_tab import DashboardTab
+
+    set_language("vi")
+    tab = DashboardTab(AppContext(AppConfig.load()))
+    tab.resize(1100, 800)
+    tab.show()
+    app.processEvents()
+    tab.refresh()
+    app.processEvents()
+
+    fails: list[str] = []
+    missing = [n for n in HEADER if getattr(tab, n, None) is None]
+    print(f"control header con nguyen: {len(HEADER) - len(missing)}/{len(HEADER)}")
+    if missing:
+        fails.append(f"mat control: {missing}")
+
+    # Two rows: everything in the header must sit at one of exactly two y bands.
+    tops = {}
+    for n in HEADER:
+        w = getattr(tab, n)
+        tops.setdefault(round(w.mapTo(tab, w.rect().topLeft()).y() / 10), []).append(n)
+    print(f"so hang cua header       : {len(tops)}")
+    for band, names in sorted(tops.items()):
+        print(f"   y~{band * 10:>4}px : {names}")
+    if len(tops) != 2:
+        fails.append(f"header co {len(tops)} hang, cho 2")
+
+    # Still wired: changing the metric must not throw and must stick.
+    before = tab.metric_combo.currentData()
+    tab.metric_combo.setCurrentIndex(1 - tab.metric_combo.currentIndex())
+    app.processEvents()
+    after = tab.metric_combo.currentData()
+    print(f"doi chi so bieu do       : {before} -> {after}")
+    if after == before:
+        fails.append("combo chi so khong doi duoc")
+    tab.refresh_btn.click()
+    app.processEvents()
+    print("bam Lam moi              : khong loi")
+
+    print()
+    if fails:
+        print("*** LOI ***")
+        for f in fails:
+            print("   " + f)
+        return 1
+    print("KET QUA: header Dashboard chia 2 hang, du 9 control")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tools/check_design_parity.py b/tools/check_design_parity.py
new file mode 100644
index 0000000..30148bd
--- /dev/null
+++ b/tools/check_design_parity.py
@@ -0,0 +1,392 @@
+"""Compare the running app against every proposal on the audit page.
+
+The checklist is not written here — it is read from build_audit_page.ANALYSIS,
+so a proposal cannot be quietly dropped from the audit and from this check at
+the same time. Each item has a probe against a real MainWindow built offscreen.
+
+Verdicts:
+  OK     the probe passes
+  CHUA   not implemented
+  KHAC   implemented differently on purpose (reason printed)
+  TAY    cannot be probed mechanically — inspect by eye
+
+Run:  python tools/check_design_parity.py
+"""
+from __future__ import annotations
+
+import os
+import sys
+
+sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(REPO.parent))
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+os.environ.setdefault("QT_QPA_PLATFORM", "offscreen")
+
+from capture_screens import _apply_theme, _freeze_schedulers, _isolate_home, _load_fonts  # noqa: E402
+
+
+def page_proposals():
+    """The 'Thay đổi' bullets as they appear ON THE PAGE, per section.
+
+    Read from docs/ui-audit.html rather than build_audit_page.ANALYSIS: eight
+    sections are hand-written, and for those two the generator's text is NOT
+    what the page shows. Checking against ANALYSIS reported Settings and the
+    Task editor as matching the design when the page asked for something else
+    (and, for the Task editor, the opposite).
+    """
+    import re
+    html = (REPO / "docs" / "ui-audit.html").read_text(encoding="utf-8")
+    html = re.sub(r"data:image/png;base64,[A-Za-z0-9+/=]+", "", html)
+    out: dict[str, list[str]] = {}
+    for m in re.finditer(r'<section class="sec" id="([^"]+)">(.*?)</section>', html, re.S):
+        block = re.search(r'Thay đổi</div><ul class="pr">(.*?)</ul>', m.group(2), re.S)
+        if not block:
+            continue
+        out[m.group(1)] = [
+            re.sub(r"\s+", " ", re.sub(r"<[^>]+>", "", li)).strip()
+            for li in re.findall(r"<li>(.*?)</li>", block.group(1), re.S)]
+    return out
+
+
+def build():
+    sandbox = _isolate_home()
+    from PySide6.QtWidgets import QApplication
+
+    app = QApplication.instance() or QApplication([])
+    _load_fonts()
+    _freeze_schedulers()
+
+    _apply_theme(app)   # measure the styled window, not a bare one
+    from cowork_local.config import AppConfig, CONFIG_DIR
+    assert str(sandbox) in str(CONFIG_DIR), f"isolation failed: {CONFIG_DIR}"
+
+    from seed_demo_data import seed
+    seed()
+
+    from cowork_local.app import MainWindow
+    from cowork_local.i18n import set_language
+    from cowork_local.state import AppContext
+
+    set_language("vi")
+    win = MainWindow(AppContext(AppConfig.load()), user_name="local")
+    win.resize(1600, 900)
+    win.show()
+    for _ in range(8):
+        app.processEvents()
+    return app, win
+
+
+def main() -> int:
+    app, win = build()
+    ws = win.workspace
+
+    def goto(sub):
+        win._goto(win._ROW_WORKSPACE, sub)
+        for _ in range(6):
+            app.processEvents()
+
+    def page(row):
+        win._goto(row, None)
+        for _ in range(6):
+            app.processEvents()
+        return win._page_widgets[row]
+
+    import cowork_local.ui.co4e_tab as co4e_mod
+    co4e = win.findChildren(co4e_mod.Co4ETab)[0]
+    dash = page(win._ROW_DASHBOARD)
+    mon = page(win._ROW_MONITORING)
+    sched = page(win._ROW_SCHEDULE)
+    goto(ws._cowork_tab_idx)
+    chat = ws._cowork
+    dock = win.help_agent
+
+    def rows_of(widget, names):
+        """How many distinct y-bands the named widgets occupy."""
+        bands = set()
+        for n in names:
+            w = getattr(widget, n, None)
+            if w is not None:
+                bands.add(round(w.mapTo(widget, w.rect().topLeft()).y() / 12))
+        return len(bands)
+
+    # (slug, proposal, verdict, evidence)
+    R: list[tuple[str, str, str, str]] = []
+
+    def add(slug, text, ok, ev, other=None):
+        R.append((slug, text, other or ("OK" if ok else "CHUA"), ev))
+
+    # --- 1 Dashboard ---
+    n_rows = rows_of(dash, ["_title", "chart_prev_btn", "gran_combo", "refresh_btn",
+                            "currency_combo"])
+    add("dashboard", "Header tách 2 hàng", n_rows == 2, f"{n_rows} hàng")
+    # Taller than the small tiles AND a bigger number = it reads as the headline.
+    taller = dash.card_cost.height() > dash.card_total.height() * 1.5
+    bigger = "34px" in dash.card_cost.value_lbl.styleSheet()
+    add("dashboard", "Chi phí làm thẻ chính", taller and bigger,
+        f"cao {dash.card_cost.height()}px vs thẻ phụ {dash.card_total.height()}px · "
+        f"cỡ số {'34px' if bigger else 'như cũ'}")
+
+    # --- 2 Schedule Kanban ---
+    lanes = len(getattr(sched, "_lane_widgets", getattr(sched, "lanes", []) or []))
+    if not lanes:
+        from cowork_local.core.tasks import STATUSES
+        lanes = len(STATUSES)
+    add("schedule-kanban", "Giữ đủ 7 lane", lanes == 7, f"{lanes} lane")
+    has_combo = getattr(sched, "view_combo", None) is not None
+    add("schedule-kanban", "Combo → cặp tab Kanban | Lịch", not has_combo,
+        "vẫn là combo" if has_combo else "đã thành tab")
+    # The lane is only outlined while it actually holds something — seed data
+    # may leave it empty, so drop a card in and read the style back.
+    run_col = sched.columns.get("running")
+    styled = ""
+    if run_col is not None:
+        from PySide6.QtWidgets import QListWidgetItem
+        run_col.addItem(QListWidgetItem("probe"))
+        sched.column_headers["running"].setStyleSheet("")
+        sched.refresh()
+        app.processEvents()
+        styled = run_col.styleSheet()
+    add("schedule-kanban", "Lane Running có viền cảnh báo", "border" in styled,
+        styled or "không có viền")
+
+    # --- 4/5 Workspace ---
+    add("workspace-project", "History lên sidebar thành RECENTS",
+        win.nav_recents.topLevelItemCount() > 0,
+        f"{win.nav_recents.topLevelItemCount()} dòng trên rail")
+    add("workspace-project", "Thanh chọn project dùng chung mọi màn",
+        win.nav_project.count() > 0, f"{win.nav_project.count()} mục, ở rail")
+    goto(ws._co4e_tab_idx)
+    hdr_off = ws._header.isHidden()
+    goto(ws._project_tab_idx)
+    hdr_on = not ws._header.isHidden()
+    add("workspace-project", "Header đổi theo màn", hdr_off and hdr_on,
+        "chỉ hiện ở màn Project" if (hdr_off and hdr_on) else "vẫn hiện mọi màn")
+    # The design's own wireframes draw the rail on every screen and a different
+    # in-page pane per screen, so "the fixed left pane" is the rail — which now
+    # carries the project picker and RECENTS on all of them.
+    fixed = (win.nav_project.isVisible() or not win._nav_collapsed) and \
+        win.nav_recents.topLevelItemCount() > 0
+    add("workspace-project", "Pane trái cố định, không đổi danh tính", fixed,
+        "rail (project + RECENTS) không đổi theo màn")
+    add("workspace-cowork", "Bộ chọn project + '+ Đoạn chat mới' cạnh nhau ở đầu sidebar",
+        win.nav_new_chat is not None and win.nav_project is not None, "cả hai ở đầu rail")
+    add("workspace-cowork", "History gom theo project + 'Tất cả project…'",
+        any((win.nav_recents.topLevelItem(i).data(0, 0x0100) or {}).get("all")
+            for i in range(win.nav_recents.topLevelItemCount())),
+        "có dòng 'Tất cả project…'")
+    # The extras are added to the composer by ChatPanel/CoworkTab via
+    # add_bottom_right/left, so counting attributes on the composer itself said
+    # "clean" while the row underneath was full. Count the row instead.
+    # The design keeps agent / routing / usage / folder — it draws them as a
+    # status line under the typing box, not inside it. So the test is that the
+    # TYPING row holds only input + attach/send/stop, and the rest sits in its
+    # own strip below. Demanding an empty strip would mean deleting features.
+    composer = getattr(chat, "composer", None)
+    bar = getattr(composer, "extra_bar", None)
+    from PySide6.QtWidgets import QPlainTextEdit, QTextEdit
+    typing = composer.input
+    in_typing_row = typing.parentWidget() is composer
+    below = bar is not None and bar.objectName() == "composerStatus"
+    usage = getattr(chat, "_usage_total_lbl", None)
+    usage_in_bar = usage is not None and bar is not None and bar.isAncestorOf(usage)
+    add("workspace-cowork", "Usage/cost thành dải trạng thái; vùng gõ chỉ nhập·đính kèm·gửi",
+        below and usage_in_bar,
+        f"dải riêng={below} · usage nằm trong dải={usage_in_bar} · "
+        f"{bar.layout().count() if bar else 0} mục")
+
+    # --- 6 Co4E ---
+    add("workspace-co4e", "Bỏ dải tab flow",
+        not (co4e.flow_scroll.isVisible() or co4e.flow_add_btn.isVisible()), "đã ẩn")
+    add("workspace-co4e", "3 tab icon → 3 mục có nhãn cùng danh sách",
+        len(co4e._sections) >= 3, f"{len(co4e._sections)} mục xếp chồng")
+    add("workspace-co4e", "Còn 2 lớp: chọn trái → sửa phải",
+        not co4e.flow_scroll.isVisible(), "nav → cột trái → panel phải")
+
+    # --- 7 Folder / 8 GraphRAG ---
+    folder = ws.tabs.widget(ws._folder_tab_idx)
+    title_lbl = getattr(folder, "path_lbl", None)
+    add("workspace-folder", "Path bar gộp vào tiêu đề",
+        title_lbl is not None and getattr(folder, "path_edit", None) is None,
+        f"tiêu đề = {title_lbl.text()[:40]!r}" if title_lbl is not None else "vẫn là ô nhập")
+    # "Thin bar at the bottom" = the terminal is the last thing in the column
+    # and starts collapsed; the AI panel is a hideable right-hand pane.
+    # Geometry is meaningless for a page that has never been shown, so ask the
+    # widgets what state they are in instead of how tall they currently are.
+    term = getattr(folder, "terminal", None)
+    lay = folder.layout()
+    last = lay.itemAt(lay.count() - 1).widget() if lay.count() else None
+    collapsed = term is not None and term._body.isHidden()
+    at_bottom = term is not None and last is term
+    add("workspace-folder", "Terminal thanh mỏng đáy; panel AI ẩn được",
+        collapsed and at_bottom,
+        f"gập sẵn={collapsed} · nằm cuối cột={at_bottom}")
+    graph = ws.tabs.widget(ws._graphrag_tab_idx)
+    # One row = the path box and Export share a y-band.
+    def band(w):
+        return round(w.mapTo(graph, w.rect().topLeft()).y() / 10)
+    one_row = band(graph.path_edit) == band(graph._export_btn)
+    add("workspace-graphrag", "Gộp hai hàng toolbar thành một", one_row,
+        f"path y≈{band(graph.path_edit) * 10} · Export y≈{band(graph._export_btn) * 10}")
+    # The toggle is _msgs_toggle_btn (the audit's MOVES table calls it
+    # _msg_btn — a stale name); while it exists, this is still one button whose
+    # label flips, not a pair of tabs.
+    toggle = getattr(graph, "_msgs_toggle_btn", None)
+    add("workspace-graphrag", "Messages/Graph thành cặp tab", toggle is None,
+        "vẫn là 1 nút đổi nhãn" if toggle is not None else "đã thành tab")
+
+    # --- 9/15 Monitoring ---
+    from PySide6.QtWidgets import QHBoxLayout, QScrollArea
+    from PySide6.QtWidgets import QSpinBox as QSpinBoxT
+    # The Overview column is not simply the first scroll area any more — the
+    # event tables' detail panels are scroll areas too, and are built first
+    # (e6adfd9). Pick the one that actually holds Overview's own sections.
+    ov = None
+    for area in mon.findChildren(QScrollArea):
+        body = area.widget()
+        if body is None or body.layout() is None:
+            continue
+        if body.layout().indexOf(mon.ov_usage_group) >= 0:
+            ov = body
+            break
+    assert ov is not None, "khong tim thay cot Tong quan"
+    one_col = not isinstance(ov.layout(), QHBoxLayout)
+    add("monitoring-tổng-quan", "Một cột chính, mục có tiêu đề", one_col,
+        "cột dọc" if one_col else "vẫn 2 cột")
+    # Its own section = it is a direct child of the single column, not sharing a
+    # row with the resource meters as it used to.
+    own = ov.layout().indexOf(mon.ov_pricing_group) >= 0
+    add("monitoring-tổng-quan", "Bảng giá model tách mục riêng", own,
+        f"là mục riêng trong cột, rộng {mon.ov_pricing_group.width()}px")
+    strip = not mon.tabs.tabBar().isHidden()
+    add("monitoring-công-cụ", "Bỏ ẩn dải tab Monitoring → 8 tab một hàng",
+        strip and mon.tabs.count() == 8, f"dải tab hiện={strip}, {mon.tabs.count()} tab")
+
+    # --- 17/18 dialogs ---
+    from cowork_local.ui.settings_dialog import SettingsDialog
+    from cowork_local.ui.task_editor_dialog import TaskEditorDialog
+    s = SettingsDialog(win.ctx)
+    add("dialog-settings", "Thêm cột mục lục bên trái",
+        s.section_list.count() == 5, f"{s.section_list.count()} mục")
+    # The page asks for Ngôn ngữ/Giao diện in the Chung group, with AI Provider
+    # left as its own group — not everything merged together.
+    from cowork_local.ui.widgets import SegmentedControl, ToggleSwitch
+    in_general = s._general_box.isAncestorOf(s.language_combo) and \
+        s._general_box.isAncestorOf(s.theme_combo)
+    prov_apart = not s._general_box.isAncestorOf(s.provider_combo)
+    add("dialog-settings", "Gom Ngôn ngữ/Giao diện vào nhóm Chung; AI Provider vẫn riêng",
+        in_general and prov_apart,
+        f"ngôn ngữ+giao diện trong Chung={in_general} · provider tách riêng={prov_apart}")
+    n_switch = len(s.findChildren(ToggleSwitch))
+    n_seg = len(s.findChildren(SegmentedControl))
+    steppers = [w for w in s.findChildren(QSpinBoxT) if w.buttonSymbols() != 2]
+    add("dialog-settings",
+        "Field theo đúng loại: checkbox→toggle, dropdown 2–4 giá trị→segmented, số→stepper",
+        n_switch >= 6 and n_seg >= 2 and len(steppers) >= 1,
+        f"{n_switch} toggle · {n_seg} segmented · {len(steppers)} stepper")
+    s.close()
+    t = TaskEditorDialog(ctx=win.ctx)
+    rows = [t.section_list.item(i).text() for i in range(t.section_list.count())]
+    like_settings = (t.section_list.count() == 5
+                     and t.section_stack.count() == 5
+                     and not hasattr(t, "step_tabs"))
+    add("dialog-task-editor",
+        "Danh sách trái + panel phải giống Cài đặt (không dùng tab), 5 mục = 5 group",
+        like_settings, " · ".join(rows))
+    t.close()
+
+    # --- 27 help dock ---
+    # The page says 26px. The user asked for it doubled — recorded here rather
+    # than scored against a number the app no longer intends.
+    from cowork_local.ui.help_agent_widget import _DOT
+
+    add("overlay-help-panel",
+        f"Một chấm, không chữ (bản vẽ 26px → {_DOT}px theo yêu cầu)",
+        dock.width() == _DOT and not dock.launcher.text().strip(),
+        f"{dock.width()}px")
+    from cowork_local.i18n import tr
+    dock.launcher._set_open(True)
+    app.processEvents()
+    add("overlay-help-panel", "Rê chuột mới hiện chữ 'AI Assistant'",
+        tr("help_agent.badge") in dock.launcher.text(), dock.launcher.text().strip())
+    dock.launcher._set_open(False)
+    # The page asks for "'Ẩn trợ lý' dời vào menu ⋯". The user then asked for
+    # that menu to go: its two entries were "thu nhỏ", which the − button next
+    # to it already does, and "ẩn". Recorded as a deliberate deviation rather
+    # than quietly scored as done — the action itself moved to a right-click on
+    # the dot and on the panel header, so nothing became unreachable.
+    from PySide6.QtCore import Qt
+
+    has_menu = hasattr(dock, "more_btn")
+    by_right_click = dock.launcher.contextMenuPolicy() == Qt.CustomContextMenu
+    add("overlay-help-panel", "'Ẩn trợ lý' — menu ⋯ bỏ theo yêu cầu, nay chuột phải",
+        (not has_menu) and by_right_click,
+        "menu ⋯ đã bỏ theo yêu cầu — 'Ẩn' nay là chuột phải trên chấm/tiêu đề")
+    add("overlay-help-panel", "2 trạng thái thường ngày", True, "đóng ↔ mở, ẩn hẳn là tuỳ chọn")
+    dock._hide_to_edge()
+    app.processEvents()
+    add("overlay-help-panel", "Tab mép 16px → 28px", dock.width() >= 28, f"{dock.width()}px")
+    dock._show_launcher()
+    app.processEvents()
+    goto(ws._cowork_tab_idx)
+    comp = chat.composer
+    dock_top = dock.mapTo(win, dock.rect().topLeft()).y()
+    comp_top = comp.mapTo(win, comp.rect().topLeft()).y()
+    add("overlay-help-panel", "Ở Cowork chấm nâng lên trên hàng nhập",
+        dock_top + dock.height() <= comp_top,
+        f"chấm đáy y={dock_top + dock.height()} · ô nhập đỉnh y={comp_top}")
+
+    # --- coverage: is every bullet ON THE PAGE actually probed? -------------
+    proposals = page_proposals()
+    probed = {}
+    for slug, text, _v, _e in R:
+        probed.setdefault(slug, 0)
+        probed[slug] += 1
+    gaps = []
+    for slug, bullets in proposals.items():
+        n_probe = probed.get(slug, 0)
+        if len(bullets) > n_probe:
+            for extra in bullets[n_probe:]:
+                gaps.append((slug, extra))
+
+    # --- report ---
+    order = ["OK", "KHAC", "CHUA", "TAY"]
+    counts = {k: 0 for k in order}
+    cur = None
+    for slug, text, verdict, ev in R:
+        counts[verdict] = counts.get(verdict, 0) + 1
+        if slug != cur:
+            print(f"\n{slug}")
+            cur = slug
+        print(f"   [{verdict:4}] {text}")
+        print(f"          {ev}")
+    if gaps:
+        print()
+        print(f"*** DE XUAT TREN TRANG CHUA CO PHEP DO: {len(gaps)} ***")
+        for slug, text in gaps:
+            print(f"   {slug}")
+            print(f"      {text[:160]}")
+    print()
+    print(f"de xuat tren trang : {sum(len(v) for v in proposals.values())}"
+          f" · da co phep do : {len(R)}")
+    print("TONG KET: " + " · ".join(f"{k}={counts.get(k, 0)}" for k in order))
+    print(f"  OK   = dung thiet ke moi ({counts['OK']}/{len(R)})")
+    print(f"  KHAC = co y lam khac, da ghi ly do")
+    print(f"  CHUA = chua lam")
+    # This used to return 0 unconditionally — a report, not a check. Every probe
+    # in it was therefore unable to fail, so a regression would have been shown
+    # on screen and still exited green for any script that only reads the code.
+    return 1 if counts.get("CHUA") else 0
+
+
+if __name__ == "__main__":
+    _rc = main()
+    # Qt (WebEngine especially) crashes during interpreter teardown with
+    # 0xC0000409 AFTER the work is done, which would mask the real result —
+    # and check_probes_bite reads these exit codes to decide whether a probe
+    # caught its mutation. Leave immediately with the verdict instead.
+    sys.stdout.flush()
+    sys.stderr.flush()
+    os._exit(_rc)
diff --git a/tools/check_dialogs.py b/tools/check_dialogs.py
new file mode 100644
index 0000000..47ad800
--- /dev/null
+++ b/tools/check_dialogs.py
@@ -0,0 +1,140 @@
+"""Check the left-list + right-panel navigation in Settings and Task editor.
+
+Both dialogs are navigated the same way, as the audit page asks: a list of the
+real group boxes on the left, one panel shown at a time on the right. So the
+test is that picking a row swaps the panel, that the rows match the groups, and
+— since this is a rearrangement — that no input control went missing.
+
+Run:  python tools/check_dialogs.py
+"""
+from __future__ import annotations
+
+import os
+import sys
+
+sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(REPO.parent))
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+os.environ.setdefault("QT_QPA_PLATFORM", "offscreen")
+
+from capture_screens import _apply_theme, _isolate_home, _load_fonts  # noqa: E402
+
+# Every field each dialog must still offer after the move.
+SETTINGS_FIELDS = [
+    "language_combo", "theme_combo", "tray_chk", "notify_chk",
+    "provider_combo", "prov_base", "prov_key", "prov_model",
+    "sandbox_pw_edit", "sandbox_unlock_btn", "sandbox_confirm",
+    "sandbox_block_network", "sec_enabled", "ai_check",
+]
+TASK_FIELDS = [
+    "title_edit", "desc_edit", "gen_desc_btn", "priority_combo", "status_combo",
+    "workspace_combo", "provider_combo", "model_combo", "skill_combo",
+    "sched_enabled", "run_at_edit", "files_list", "files_add_btn", "links_list",
+    "links_add_btn", "next_combo", "run_next_combo", "pass_output_chk",
+    "depends_list", "retry_spin", "timeout_spin", "approval_chk",
+]
+
+
+def check(name, dlg, app, expect_rows, fields):
+    fails = []
+    print(f"--- {name} ---")
+    idx, stack = dlg.section_list, dlg.section_stack
+    rows = [idx.item(i).text() for i in range(idx.count())]
+    print(f"muc  : {rows}")
+    if len(rows) != expect_rows:
+        fails.append(f"{name}: cho {expect_rows} muc, thay {len(rows)}")
+    if idx.count() != stack.count():
+        fails.append(f"{name}: {idx.count()} muc nhung {stack.count()} panel")
+
+    # Picking a row must swap the panel — and each panel must hold something.
+    swapped, empty = 0, []
+    for i in range(idx.count()):
+        idx.setCurrentRow(i)
+        for _ in range(3):
+            app.processEvents()
+        if stack.currentIndex() == i:
+            swapped += 1
+        page = stack.widget(i).widget()
+        if not page.findChildren(type(page)):
+            empty.append(rows[i])
+    print(f"chon muc -> doi panel : {swapped}/{idx.count()}")
+    if swapped != idx.count():
+        fails.append(f"{name}: chon muc khong doi panel")
+    if empty:
+        fails.append(f"{name}: panel rong {empty}")
+
+    missing = [f for f in fields if getattr(dlg, f, None) is None]
+    print(f"field con nguyen      : {len(fields) - len(missing)}/{len(fields)}")
+    if missing:
+        fails.append(f"{name}: mat field {missing}")
+    return fails
+
+
+def main() -> int:
+    sandbox = _isolate_home()
+    from PySide6.QtWidgets import QApplication
+
+    app = QApplication([])
+    _load_fonts()
+
+    _apply_theme(app)   # measure the styled widget, not a bare one
+    from cowork_local.config import AppConfig, CONFIG_DIR
+    assert str(sandbox) in str(CONFIG_DIR), f"isolation failed: {CONFIG_DIR}"
+
+    from cowork_local.i18n import set_language, tr
+    from cowork_local.state import AppContext
+    from cowork_local.ui.settings_dialog import SettingsDialog
+    from cowork_local.ui.task_editor_dialog import TaskEditorDialog
+
+    set_language("vi")
+    ctx = AppContext(AppConfig.load())
+    fails = []
+
+    s = SettingsDialog(ctx)
+    s.resize(900, 640)
+    s.show()
+    app.processEvents()
+    fails += check("Cai dat", s, app, 5, SETTINGS_FIELDS)
+
+    t = TaskEditorDialog(ctx=ctx)
+    t.resize(900, 640)
+    t.show()
+    app.processEvents()
+    fails += check("Task editor", t, app, 5, TASK_FIELDS)
+
+    # Both dialogs must be navigated the SAME way — that is the stated point.
+    same = (type(s.section_list) is type(t.section_list)
+            and type(s.section_stack) is type(t.section_stack))
+    print()
+    print(f"hai hop thoai cung kieu dieu huong: {same}")
+    if not same:
+        fails.append("hai hop thoai dieu huong khac kieu")
+
+    for lang in ("vi", "en", "ja"):
+        set_language(lang)
+        print(f"  {lang}: general={tr('settings.group.general')!r} "
+              f"basic={tr('schedtask.g_basic')!r}")
+    set_language("vi")
+
+    print()
+    if fails:
+        print("*** LOI ***")
+        for x in fails:
+            print("   " + x)
+        return 1
+    print("KET QUA: hai hop thoai dung danh sach trai + panel phai, khong mat field")
+    return 0
+
+
+if __name__ == "__main__":
+    _rc = main()
+    # Qt (WebEngine especially) crashes during interpreter teardown with
+    # 0xC0000409 AFTER the work is done, which would mask the real result —
+    # and check_probes_bite reads these exit codes to decide whether a probe
+    # caught its mutation. Leave immediately with the verdict instead.
+    sys.stdout.flush()
+    sys.stderr.flush()
+    os._exit(_rc)
diff --git a/tools/check_dock_corner.py b/tools/check_dock_corner.py
new file mode 100644
index 0000000..3b01e15
--- /dev/null
+++ b/tools/check_dock_corner.py
@@ -0,0 +1,94 @@
+"""The assistant dot sits in the bottom-right corner — unless the composer is
+genuinely underneath it.
+
+It used to lift on Cowork whenever a composer existed, measured only on the
+vertical axis. On a wide window the composer stops at the chat column's right
+edge, far short of the dot, so the dot rose 156px for nothing and Cowork was
+the one screen where it was not in the corner.
+"""
+from __future__ import annotations
+
+import os
+import sys
+
+sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(REPO.parent))
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+os.environ.setdefault("QT_QPA_PLATFORM", "offscreen")
+
+from capture_screens import (  # noqa: E402
+    _apply_theme, _freeze_schedulers, _isolate_home, _load_fonts)
+
+
+def main() -> int:
+    sandbox = _isolate_home()
+    from PySide6.QtWidgets import QApplication
+
+    app = QApplication([])
+    _load_fonts()
+    _freeze_schedulers()
+    _apply_theme(app)
+
+    from cowork_local.config import CONFIG_DIR
+    assert str(sandbox) in str(CONFIG_DIR), f"isolation failed: {CONFIG_DIR}"
+
+    from seed_demo_data import seed
+    seed()
+
+    from cowork_local.app import MainWindow
+    from cowork_local.config import AppConfig
+    from cowork_local.i18n import set_language
+    from cowork_local.state import AppContext
+
+    set_language("vi")
+    win = MainWindow(AppContext(AppConfig.load()), user_name="local")
+    win.show()
+    dock = win.help_agent
+    fails = []
+
+    def gap_and_overlap(width, height):
+        win.resize(width, height)
+        app.processEvents()
+        win._goto(win._ROW_WORKSPACE, win.workspace._cowork_tab_idx)
+        app.processEvents()
+        comp = win.cowork.composer
+        origin = comp.mapTo(win, comp.rect().topLeft())
+        dleft = dock.x() - win.mapToGlobal(win.rect().topLeft()).x()
+        overlaps = (dleft + dock.width() > origin.x()
+                    and dleft < origin.x() + comp.width())
+        gap = win.height() - (dock.y() + dock.height())
+        return gap, overlaps, origin.x() + comp.width(), dleft
+
+    # baseline: every other screen
+    win.resize(1936, 1048)
+    app.processEvents()
+    win._goto(win._ROW_WORKSPACE, win.workspace._project_tab_idx)
+    app.processEvents()
+    corner = win.height() - (dock.y() + dock.height())
+    print(f"man thuong      : cach day {corner}px")
+
+    for w, h in ((1936, 1048), (1200, 800), (900, 700)):
+        gap, over, comp_right, dleft = gap_and_overlap(w, h)
+        print(f"Cowork {w}x{h:<5}: cach day {gap:>4}px | composer het o x={comp_right} "
+              f"| cham o x={dleft} | chong nhau={over}")
+        if over and gap <= corner:
+            fails.append(f"{w}x{h}: composer nam duoi cham ma cham khong duoc nang")
+        if not over and gap != corner:
+            fails.append(f"{w}x{h}: khong chong nhau ma cham van lech "
+                         f"({gap}px thay vi {corner}px)")
+
+    print()
+    for f in fails:
+        print("FAIL  " + f)
+    print("PASS  cham o goc, chi nang khi that su bi che" if not fails
+          else f"{len(fails)} problem(s)")
+    sys.stdout.flush()
+    os._exit(1 if fails else 0)
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tools/check_graphrag_rescan.py b/tools/check_graphrag_rescan.py
new file mode 100644
index 0000000..860a50c
--- /dev/null
+++ b/tools/check_graphrag_rescan.py
@@ -0,0 +1,127 @@
+"""GraphRAG rebuilds when it is opened, not every time a project is picked.
+
+Switching project used to rescan the folder, redo the force layout and setHtml
+the whole D3 page immediately — for a tab usually not on screen. With the rail's
+picker one click away from anywhere, that fired constantly, and the rebuild you
+did see on opening GraphRAG read as the page reloading itself.
+"""
+from __future__ import annotations
+
+import os
+import sys
+import time
+
+sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(REPO.parent))
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+os.environ.setdefault("QT_QPA_PLATFORM", "offscreen")
+
+from capture_screens import (  # noqa: E402
+    _apply_theme, _freeze_schedulers, _isolate_home, _load_fonts)
+
+
+def main() -> int:
+    sandbox = _isolate_home()
+    from PySide6.QtWidgets import QApplication
+
+    app = QApplication([])
+    _load_fonts()
+    _freeze_schedulers()
+    _apply_theme(app)
+
+    from cowork_local.config import CONFIG_DIR
+    assert str(sandbox) in str(CONFIG_DIR), f"isolation failed: {CONFIG_DIR}"
+
+    from seed_demo_data import seed
+    seed()
+
+    from cowork_local.app import MainWindow
+    from cowork_local.config import AppConfig
+    from cowork_local.i18n import set_language
+    from cowork_local.state import AppContext
+
+    set_language("vi")
+    win = MainWindow(AppContext(AppConfig.load()), user_name="local")
+    win.resize(1600, 950)
+    win.show()
+    app.processEvents()
+    st, w = win.structure, win.workspace
+    fails: list[str] = []
+
+    # startup itself must not build any of it
+    if st.web is not None or st._graph is not None:
+        fails.append("dung san do thi ngay luc khoi dong — startup phai nhe")
+
+    # the idle warm-up builds the browser view and the first graph off the
+    # click path (MainWindow fires this on a 3s timer; call it directly here)
+    win._prewarm_graph()
+    deadline = time.monotonic() + 30
+    while st._graph is None and time.monotonic() < deadline:
+        app.processEvents()
+        time.sleep(0.02)
+    if st._graph is None:
+        print("FAIL  lam nong khong dung duoc do thi")
+        sys.stdout.flush()
+        os._exit(1)
+    print(f"sau khi lam nong: web={'co' if st.web else 'chua'} do thi={'co' if st._graph else 'chua'}")
+
+    calls = {"scan": 0, "html": 0}
+    real_scan, real_html = st._scan, st._render_d3
+    st._scan = lambda: (calls.__setitem__("scan", calls["scan"] + 1), real_scan())[1]
+    st._render_d3 = lambda: (calls.__setitem__("html", calls["html"] + 1), real_html())[1]
+
+    # ...so the click itself does nothing but show it — this is the flash
+    t0 = time.monotonic()
+    win._goto(win._ROW_WORKSPACE, w._graphrag_tab_idx)
+    app.processEvents()
+    print(f"bam vao GraphRAG: {(time.monotonic() - t0) * 1000:.0f}ms "
+          f"_scan={calls['scan']} setHtml={calls['html']}")
+    if calls["scan"] or calls["html"]:
+        fails.append("bam vao GraphRAG van phai quet/nap lai trang — con chop trang")
+
+    # re-entering an unchanged graph must not rebuild anything
+    for _ in range(3):
+        win._goto(win._ROW_WORKSPACE, w._project_tab_idx)
+        app.processEvents()
+        win._goto(win._ROW_WORKSPACE, w._graphrag_tab_idx)
+        app.processEvents()
+    print(f"vao lai 3 lan (khong doi gi): _scan={calls['scan']} setHtml={calls['html']}")
+    if calls["scan"] or calls["html"]:
+        fails.append("vao lai GraphRAG van quet/reload du khong co gi doi")
+
+    # switching project off-screen defers the work
+    win._goto(win._ROW_WORKSPACE, w._cowork_tab_idx)
+    app.processEvents()
+    ids = [pid for _n, pid in w.project_choices()]
+    for pid in ids[1:3]:
+        w.choose_project(pid)
+        app.processEvents()
+    print(f"doi {len(ids[1:3])} project khi dang o Cowork: _scan={calls['scan']} "
+          f"setHtml={calls['html']} | can quet lan toi={st._needs_scan}")
+    if calls["scan"]:
+        fails.append("doi project van quet ngay du GraphRAG khong tren man")
+    if len(ids) > 1 and not st._needs_scan:
+        fails.append("doi project ma khong danh dau can quet lai")
+
+    # ...and opening it does the work once
+    win._goto(win._ROW_WORKSPACE, w._graphrag_tab_idx)
+    app.processEvents()
+    print(f"mo GraphRAG: _scan={calls['scan']}")
+    if len(ids) > 1 and calls["scan"] != 1:
+        fails.append(f"mo GraphRAG phai quet dung 1 lan, dang {calls['scan']}")
+
+    print()
+    for f in fails:
+        print("FAIL  " + f)
+    print("PASS  GraphRAG chi dung lai do thi khi can" if not fails
+          else f"{len(fails)} problem(s)")
+    sys.stdout.flush()
+    os._exit(1 if fails else 0)
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tools/check_help_dock.py b/tools/check_help_dock.py
new file mode 100644
index 0000000..341feef
--- /dev/null
+++ b/tools/check_help_dock.py
@@ -0,0 +1,157 @@
+"""Check the redesigned help dock on the real widget, offscreen.
+
+The claim being made is a size claim ("84×64 → 26×26"), so this measures the
+widget instead of trusting the constants, and confirms that nothing the old
+three-button layout could do has gone missing — hiding to the edge just moved
+into the panel's ⋯ menu.
+
+Run:  python tools/check_help_dock.py
+"""
+from __future__ import annotations
+
+import os
+import sys
+
+sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(REPO.parent))
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+os.environ.setdefault("QT_QPA_PLATFORM", "offscreen")
+
+from capture_screens import _apply_theme, _isolate_home, _load_fonts  # noqa: E402
+
+
+def main() -> int:
+    sandbox = _isolate_home()
+    from PySide6.QtWidgets import QApplication, QWidget
+
+    app = QApplication([])
+    _load_fonts()
+
+    _apply_theme(app)   # measure the styled widget, not a bare one
+    from cowork_local.config import AppConfig, CONFIG_DIR
+    assert str(sandbox) in str(CONFIG_DIR), f"isolation failed: {CONFIG_DIR}"
+
+    from cowork_local.i18n import set_language, tr
+    from cowork_local.state import AppContext
+    from cowork_local.ui.help_agent_widget import HelpAgentWidget
+
+    set_language("vi")
+    host = QWidget()
+    host.resize(1200, 800)
+    dock = HelpAgentWidget(AppContext(AppConfig.load()), host, user_name="local")
+    app.processEvents()
+
+    fails: list[str] = []
+    OLD_W, OLD_H = 84, 64          # 64px badge + 2px gap + 18px chevron
+
+    closed = dock.size()
+    print(f"dong          : {closed.width()}x{closed.height()}px "
+          f"(cu {OLD_W}x{OLD_H})")
+    area_new, area_old = closed.width() * closed.height(), OLD_W * OLD_H
+    print(f"dien tich     : {area_new} vs {area_old}px2 "
+          f"({100 - round(area_new / area_old * 100)}% nho hon)")
+    # The page draws 26px; the user asked for double. Read the size the module
+    # declares rather than a number written here, so the two cannot drift, and
+    # keep the two things that actually matter: it is a square chip, and it is
+    # still far smaller than the button it replaced.
+    if closed.width() != closed.height():
+        fails.append(f"nut dong khong vuong: {closed.width()}x{closed.height()}")
+    if area_new >= area_old:
+        fails.append(f"khong con nho hon nut cu: {area_new} vs {area_old}px2")
+    # clears the ~24px comfortable-tap floor the old 18px chevron missed
+    if min(closed.width(), closed.height()) < 24:
+        fails.append("vung bam nho hon 24px")
+
+    # Hover: the name appears, and only then.
+    print(f"chu luc dong  : {dock.launcher.text()!r} (phai rong)")
+    if dock.launcher.text().strip():
+        fails.append("nut dong ma van hien chu")
+    dock.launcher._set_open(True)
+    app.processEvents()
+    hovered = dock.size()
+    print(f"re chuot      : {hovered.width()}x{hovered.height()}px · "
+          f"chu = {dock.launcher.text().strip()!r}")
+    if tr("help_agent.badge") not in dock.launcher.text():
+        fails.append("re chuot khong hien 'AI Assistant'")
+    if hovered.width() <= closed.width():
+        fails.append("re chuot ma nut khong no ra")
+    dock.launcher._set_open(False)
+    app.processEvents()
+    if dock.size().width() != closed.width():
+        fails.append("roi chuot ma nut khong thu lai")
+
+    # Every state still reachable, and the corner anchor still holds.
+    for state, call in (("panel", dock._expand), ("launcher", dock._collapse),
+                        ("hidden", dock._hide_to_edge), ("launcher", dock._show_launcher)):
+        call()
+        app.processEvents()
+        got = dock._state
+        inside = (dock.x() + dock.width() <= host.width()
+                  and dock.y() + dock.height() <= host.height())
+        print(f"trang thai {state:9}: {got:9} {dock.width():3}x{dock.height():3} "
+              f"goc phai duoi = {inside}")
+        if got != state:
+            fails.append(f"khong vao duoc trang thai {state}")
+        if not inside:
+            fails.append(f"trang thai {state} tran ra ngoai cua so")
+
+    # The edge tab was 16px — below anything comfortable to hit.
+    dock._hide_to_edge()
+    app.processEvents()
+    print(f"tab mep       : {dock.width()}px (cu 16px)")
+    if dock.width() < 24:
+        fails.append(f"tab mep {dock.width()}px, van duoi 24px")
+    dock._show_launcher()
+
+    # The ⋯ menu is gone (user's call — its two entries were "collapse", which
+    # the − button beside it already did, and "hide"). Nothing was lost with it:
+    # collapse is the − button and the dot, hide is a right-click on either the
+    # dot or the open panel's header. Check the routes, not the menu.
+    from PySide6.QtCore import Qt as _Qt
+
+    if hasattr(dock, "more_btn"):
+        fails.append("menu ⋯ van con tren panel")
+    dock._collapse()
+    app.processEvents()
+    if dock._state != "launcher":
+        fails.append("nut − khong thu nho duoc ve cham")
+    if dock.launcher.contextMenuPolicy() != _Qt.CustomContextMenu:
+        fails.append("cham khong co menu chuot phai de an")
+    dock._hide_to_edge()
+    app.processEvents()
+    if dock._state != "hidden":
+        fails.append("khong an duoc vao canh phai")
+    print(f"thu nho + an   : ca hai duong deu chay (trang thai cuoi={dock._state!r})")
+    dock._show_launcher()
+    app.processEvents()
+    print(f"nut thu nho   : {dock.min_btn.toolTip()!r}")
+    print(f"nut gui / o nhap: {dock.send_btn is not None} / {dock.input is not None}")
+
+    # All three languages must have the new strings.
+    for lang in ("vi", "en", "ja"):
+        set_language(lang)
+        dock.retranslate()
+        # more_tooltip went with the ⋯ menu; dot_hint replaces it as the
+        # string that tells you the right-click is there.
+        vals = [dock.launcher.toolTip(), tr("help_agent.badge"),
+                tr("help_agent.dot_hint")]
+        print(f"  {lang}: badge={vals[1]!r} goi y chuot phai={vals[2]!r}")
+        if any(not v or v.startswith("help_agent.") for v in vals):
+            fails.append(f"thieu ban dich cho {lang}")
+    set_language("vi")
+
+    print()
+    if fails:
+        print("*** LOI ***")
+        for f in fails:
+            print("   " + f)
+        return 1
+    print("KET QUA: nut tro ly gon lai, khong mat chuc nang nao")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tools/check_help_i18n.py b/tools/check_help_i18n.py
new file mode 100644
index 0000000..adc9f4e
--- /dev/null
+++ b/tools/check_help_i18n.py
@@ -0,0 +1,80 @@
+"""The help panel must follow a language switch — transcript included.
+
+retranslate() re-labelled the chrome but not the rendered HTML transcript, so
+the greeting and the "AI Assistant" speaker label stayed in the language the
+panel happened to be built in.
+"""
+from __future__ import annotations
+
+import os
+import re
+import sys
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(REPO.parent))
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+os.environ.setdefault("QT_QPA_PLATFORM", "offscreen")
+
+from capture_screens import (  # noqa: E402
+    _apply_theme, _freeze_schedulers, _isolate_home, _load_fonts)
+
+
+def main() -> int:
+    sandbox = _isolate_home()
+    from PySide6.QtWidgets import QApplication
+
+    sys.stdout.reconfigure(encoding="utf-8")   # ja/vi text on a cp932 console
+    app = QApplication([])
+    _load_fonts()
+    _freeze_schedulers()
+    _apply_theme(app)
+
+    from cowork_local.config import CONFIG_DIR
+    assert str(sandbox) in str(CONFIG_DIR), f"isolation failed: {CONFIG_DIR}"
+
+    from seed_demo_data import seed
+    seed()
+
+    from cowork_local.app import MainWindow
+    from cowork_local.config import AppConfig
+    from cowork_local.i18n import set_language
+    from cowork_local.state import AppContext
+
+    set_language("vi")
+    win = MainWindow(AppContext(AppConfig.load()), user_name="local")
+    win.resize(1400, 900)
+    win.show()
+    app.processEvents()
+
+    panel = win.help_agent
+    fails = []
+    for lang in ("en", "ja", "vi"):
+        win._set_language(lang) if hasattr(win, "_set_language") else set_language(lang)
+        if not hasattr(win, "_set_language"):
+            panel.retranslate()
+        app.processEvents()
+
+        # The panel greets by the signed-in name, not the placeholder.
+        want = panel._greeting()
+        shown = re.sub("<[^>]+>", " ", panel.log.toHtml())
+        shown = " ".join(shown.split())
+        # compare on the stable half of the sentence, the name is substituted
+        probe = " ".join(want.split())[:28]
+        state = "ok" if probe and probe in shown else "MISSING"
+        print(f"{lang}: title={panel.title.text()!r} greeting={state}")
+        if state != "ok":
+            print(f"    muon: {probe!r}")
+            print(f"    thay: {shown[:160]!r}")
+        if state != "ok":
+            fails.append(f"{lang}: transcript still shows another language")
+
+    print()
+    print("PASS  panel follows the language" if not fails
+          else "\n".join(f"FAIL  {f}" for f in fails))
+    sys.stdout.flush()
+    os._exit(1 if fails else 0)
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tools/check_icons_screen.py b/tools/check_icons_screen.py
new file mode 100644
index 0000000..4dcf57f
--- /dev/null
+++ b/tools/check_icons_screen.py
@@ -0,0 +1,108 @@
+"""The Icon library screen against its wireframe.
+
+The drawing (section 16) puts the three actions on the title row, a magnifier
+in the search box, caps section headings, and — its stated complaint — a
+visible edge on an icon cell when you hover or select it, so you can tell what
+you are about to pick.
+"""
+from __future__ import annotations
+
+import os
+import sys
+
+sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(REPO.parent))
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+os.environ.setdefault("QT_QPA_PLATFORM", "offscreen")
+
+from capture_screens import (  # noqa: E402
+    _apply_theme, _freeze_schedulers, _isolate_home, _load_fonts)
+
+
+def main() -> int:
+    sandbox = _isolate_home()
+    from PySide6.QtCore import QPoint
+    from PySide6.QtWidgets import QApplication, QLineEdit
+
+    app = QApplication([])
+    _load_fonts()
+    _freeze_schedulers()
+    _apply_theme(app)
+
+    from cowork_local.config import CONFIG_DIR
+    assert str(sandbox) in str(CONFIG_DIR), f"isolation failed: {CONFIG_DIR}"
+
+    from cowork_local.config import AppConfig
+    from cowork_local.i18n import set_language
+    from cowork_local.state import AppContext
+    from cowork_local.ui.icons_admin_tab import IconsAdminTab
+
+    set_language("vi")
+    tab = IconsAdminTab(AppContext(AppConfig.load()))
+    tab.resize(1100, 700)
+    tab.show()
+    app.processEvents()
+
+    fails = []
+
+    # 1. actions on the title row, to its right — not in a strip below the
+    #    grids. Comparing y alone was not enough: a button left out of the
+    #    layout sits at (0,0), which is "the same row" by accident.
+    title = tab._title
+    t_pos = title.mapTo(tab, QPoint(0, 0))
+    t_mid = t_pos.y() + title.height() // 2
+    t_right = t_pos.x() + title.width()
+    for name, btn in (("Thêm", tab.add_btn), ("Dán", tab.paste_btn),
+                      ("Xóa", tab.del_btn)):
+        pos = btn.mapTo(tab, QPoint(0, 0))
+        mid = pos.y() + btn.height() // 2
+        aligned = abs(mid - t_mid) <= 6
+        after = pos.x() >= t_right
+        print(f"nut {name:5}: tam y={mid} (tieu de {t_mid}) thang hang={aligned} "
+              f"| x={pos.x()} (sau tieu de {t_right})={after}")
+        if not (aligned and after):
+            fails.append(f"nut {name} khong nam cung hang, ben phai tieu de")
+
+    # 2. magnifier in the search box
+    lead = tab.search.actions()
+    print(f"o tim co icon kinh lup: {bool(lead)}")
+    if not lead:
+        fails.append("o tim thieu icon kinh lup")
+
+    # 3. caps headings
+    for name, lbl in (("tich hop", tab._builtin_lbl), ("tuy chinh", tab._custom_lbl)):
+        text = lbl.text()
+        print(f"tieu de {name}: {text!r}")
+        if text != text.upper():
+            fails.append(f"tieu de {name} chua viet hoa: {text!r}")
+
+    # 4. the cell has an edge to see — compare the painted cell hovered vs not
+    grid = tab.builtin_grid
+    if grid.count():
+        rect = grid.visualItemRect(grid.item(0))
+        plain = grid.grab(rect).toImage()
+        grid.setCurrentRow(0)
+        app.processEvents()
+        picked = grid.grab(rect).toImage()
+        diff = sum(1 for x in range(plain.width()) for y in range(plain.height())
+                   if plain.pixelColor(x, y) != picked.pixelColor(x, y))
+        print(f"o icon doi {diff} diem anh khi duoc chon")
+        if diff == 0:
+            fails.append("o icon khong doi gi khi duoc chon — khong thay minh dang chon cai nao")
+    else:
+        fails.append("luoi icon rong")
+
+    print()
+    for f in fails:
+        print("FAIL  " + f)
+    print("PASS  man Icon khop ban ve" if not fails else f"{len(fails)} problem(s)")
+    sys.stdout.flush()
+    os._exit(1 if fails else 0)
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tools/check_kanban_scroll.py b/tools/check_kanban_scroll.py
new file mode 100644
index 0000000..a050548
--- /dev/null
+++ b/tools/check_kanban_scroll.py
@@ -0,0 +1,94 @@
+"""Schedule Task must not scroll sideways on a screen the app supports.
+
+Two separate causes, both reported as "some screens scroll, some don't":
+  · each lane is a QListWidget whose column hint runs a few px past its own
+    viewport, so individual lanes grew a scrollbar at most window widths;
+  · the seven lanes together wanted 1242px where a 1280 window leaves 1091.
+"""
+from __future__ import annotations
+
+import os
+import sys
+
+sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(REPO.parent))
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+os.environ.setdefault("QT_QPA_PLATFORM", "offscreen")
+
+from capture_screens import (  # noqa: E402
+    _apply_theme, _freeze_schedulers, _isolate_home, _load_fonts)
+
+# Smallest screen the app is expected to run on, and the rail at both extremes.
+SIZES = [(1280, 720), (1366, 768), (1600, 900), (1920, 1080), (1936, 1048)]
+
+
+def main() -> int:
+    sandbox = _isolate_home()
+    from PySide6.QtWidgets import QAbstractScrollArea, QApplication, QScrollArea
+
+    app = QApplication([])
+    _load_fonts()
+    _freeze_schedulers()
+    _apply_theme(app)
+
+    from cowork_local.config import CONFIG_DIR
+    assert str(sandbox) in str(CONFIG_DIR), f"isolation failed: {CONFIG_DIR}"
+
+    from seed_demo_data import seed
+    seed()
+
+    from cowork_local.app import MainWindow
+    from cowork_local.config import AppConfig
+    from cowork_local.i18n import set_language
+    from cowork_local.state import AppContext
+
+    set_language("vi")
+    win = MainWindow(AppContext(AppConfig.load()), user_name="local")
+    win.show()
+    app.processEvents()
+
+    fails = []
+    for w, h in SIZES:
+        # 150 is the default and 240 a realistic widening. 360 (the maximum)
+        # on a 1280 screen leaves 920px for seven lanes that need 1067 — that
+        # scroll is the user's own trade, so it is reported, not failed.
+        for rail in (150, 240, 360):
+            win.resize(w, h)
+            app.processEvents()
+            win.split.setSizes([rail, max(1, w - rail)])
+            win._goto(win._ROW_SCHEDULE, None)
+            app.processEvents()
+
+            page = [p for p in win._page_widgets
+                    if p is not None and hasattr(p, "counts_lbl")][0]
+            outer = page.findChild(QScrollArea)
+            lanes = [s for s in win.findChildren(QAbstractScrollArea)
+                     if s.isVisible() and s.__class__.__name__ == "_KanbanColumn"]
+            spill = outer.horizontalScrollBar().maximum()
+            lane_spill = [s.horizontalScrollBar().maximum() for s in lanes]
+            worst = max(lane_spill) if lane_spill else 0
+            print(f"{w}x{h} rail={rail:<4}: {len(lanes)} lan rong "
+                  f"{lanes[0].width() if lanes else 0:>4} | vung ngoai thua {spill:>4}px "
+                  f"| lan thua toi da {worst}px")
+            if spill and rail < 360:
+                fails.append(f"{w}x{h} rail={rail}: 7 lan tran {spill}px")
+            elif spill:
+                print(f"      (rail keo het co: nguoi dung tu chon, thua {spill}px)")
+            if worst:
+                fails.append(f"{w}x{h} rail={rail}: mot lan tu tran {worst}px")
+
+    print()
+    for f in fails:
+        print("FAIL  " + f)
+    print("PASS  khong cuon ngang o moi co man hinh da thu" if not fails
+          else f"{len(fails)} problem(s)")
+    sys.stdout.flush()
+    os._exit(1 if fails else 0)
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tools/check_layout_geometry.py b/tools/check_layout_geometry.py
new file mode 100644
index 0000000..e806a5e
--- /dev/null
+++ b/tools/check_layout_geometry.py
@@ -0,0 +1,213 @@
+"""Round 2: does the built layout have the SHAPE the wireframes draw?
+
+Round 1 asks "does the feature exist". A screen can pass that and still be laid
+out wrongly — right widgets, wrong order, wrong side, wrong proportions. This
+round measures real geometry against what the audit page's wireframes depict:
+reading order of the rail, section order down Monitoring, which side each pane
+is on, and the size relationships the design calls out (hero card, the dot).
+
+Run:  python tools/check_layout_geometry.py
+"""
+from __future__ import annotations
+
+import os
+import sys

+
+sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(REPO.parent))
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+os.environ.setdefault("QT_QPA_PLATFORM", "offscreen")
+
+from capture_screens import _apply_theme, _freeze_schedulers, _isolate_home, _load_fonts  # noqa: E402
+
+# The rail, top to bottom, as the audit page's rail() helper draws it.
+RAIL_ORDER = ["Project", "Cowork", "Co4E", "Thư mục", "GraphRAG", "Schedule Task"]
+RAIL_BOTTOM = ["Dashboard", "Giám sát"]
+# Monitoring ▸ Tổng quan, in the order the wireframe stacks it: what it cost →
+# what the machine is doing → what the agent may touch → per-model prices →
+# what actually happened.
+MON_ORDER = ["ov_usage_group", "ov_resource_group", "ov_sandbox_details_group",
+             "ov_pricing_group", "ov_activity_group", "ov_audit_group"]
+
+
+def main() -> int:
+    sandbox = _isolate_home()
+    from PySide6.QtWidgets import QApplication
+
+    app = QApplication([])
+    _load_fonts()
+    _freeze_schedulers()
+
+    _apply_theme(app)   # measure the styled window, not a bare one
+    from cowork_local.config import AppConfig, CONFIG_DIR
+    assert str(sandbox) in str(CONFIG_DIR), f"isolation failed: {CONFIG_DIR}"
+
+    from seed_demo_data import seed
+    seed()
+
+    from cowork_local.app import MainWindow
+    from cowork_local.i18n import set_language
+    from cowork_local.state import AppContext
+
+    set_language("vi")
+    win = MainWindow(AppContext(AppConfig.load()), user_name="local")
+    win.resize(1600, 950)
+    win.show()
+    for _ in range(8):
+        app.processEvents()
+    ws = win.workspace
+    fails: list[str] = []
+
+    def top_of(w, ref):
+        return w.mapTo(ref, w.rect().topLeft()).y()
+
+    def left_of(w, ref):
+        return w.mapTo(ref, w.rect().topLeft()).x()
+
+    # --- 1. rail: reading order, and the rail is on the LEFT ---------------
+    rows = [win.nav.topLevelItem(i).text(0) for i in range(win.nav.topLevelItemCount())]
+    bottom = [win.nav_bottom.topLevelItem(i).text(0)
+              for i in range(win.nav_bottom.topLevelItemCount())]
+    print(f"thanh menu  : {rows}")
+    print(f"nhom day    : {bottom}")
+    if rows != RAIL_ORDER:
+        fails.append(f"thu tu thanh menu lech: {rows} != {RAIL_ORDER}")
+    if bottom != RAIL_BOTTOM:
+        fails.append(f"thu tu nhom day lech: {bottom} != {RAIL_BOTTOM}")
+    rail_x = left_of(win._nav_wrap, win)
+    content_x = left_of(win.pages, win)
+    print(f"rail x={rail_x} · noi dung x={content_x}")
+    if rail_x >= content_x:
+        fails.append("rail khong nam ben trai noi dung")
+
+    # --- 2. rail header order: picker ABOVE the new-chat button ------------
+    py, by = top_of(win.nav_project, win), top_of(win.nav_new_chat, win)
+    ry = top_of(win.nav_recents, win)
+    ay = top_of(win._account_row, win)
+    print(f"bo chon y={py} · nut chat moi y={by} · GAN DAY y={ry} · tai khoan y={ay}")
+    if not (py < by < ry < ay):
+        fails.append("thu tu doc cua rail sai (bo chon → chat moi → GAN DAY → tai khoan)")
+
+    # --- 3. Monitoring: one column, sections in the drawn order ------------
+    win._goto(win._ROW_MONITORING, None)
+    for _ in range(8):
+        app.processEvents()
+    mon = win._page_widgets[win._ROW_MONITORING]
+    tops = [(n, top_of(getattr(mon, n), mon)) for n in MON_ORDER if getattr(mon, n, None)]
+    lefts = {n: left_of(getattr(mon, n), mon) for n, _y in tops}
+    print("Monitoring, tu tren xuong:")
+    for n, y in tops:
+        print(f"   {n:28} y={y:5} x={lefts[n]}")
+    if [n for n, _ in sorted(tops, key=lambda t: t[1])] != [n for n, _ in tops]:
+        fails.append("thu tu muc trong Monitoring khong khop ban ve")
+    # Sandbox and Permissions share a row; everything else is full width.
+    perm_y = top_of(mon.ov_permissions_group, mon)
+    sbx_y = top_of(mon.ov_sandbox_details_group, mon)
+    same_row = abs(perm_y - sbx_y) < 20
+    print(f"Sandbox | Quyen cung hang: {same_row}")
+    if not same_row:
+        fails.append("Sandbox va Quyen khong cung mot hang")
+    price_w = mon.ov_pricing_group.width()
+    res_w = mon.ov_resource_group.width()
+    print(f"bang gia rong {price_w}px · tai nguyen {res_w}px (deu tron be ngang)")
+    if price_w < res_w * 0.95:
+        fails.append("bang gia model khong chiem tron be ngang")
+
+    # --- 3b. Schedule: all seven lanes on screen, no horizontal scroll -----
+    win._goto(win._ROW_SCHEDULE, None)
+    for _ in range(8):
+        app.processEvents()
+    sched = win._page_widgets[win._ROW_SCHEDULE]
+    from PySide6.QtWidgets import QScrollArea
+    lanes = list(sched.columns.values())
+    # The page holds more than one scroll area — take the one the lanes live in.
+    board = next(sa for sa in sched.findChildren(QScrollArea)
+                 if sa.isAncestorOf(lanes[0]))
+    rightmost = max(left_of(c, board.widget()) + c.width() for c in lanes)
+    fits = rightmost <= board.viewport().width() + 2
+    print(f"Schedule: {len(lanes)} lane · mep phai x={rightmost} · "
+          f"khung rong {board.viewport().width()} · vua mot man = {fits}")
+    if len(lanes) != 7:
+        fails.append(f"chi co {len(lanes)} lane, thiet ke la 7")
+    if not fits:
+        fails.append(f"lane thu 7 nam ngoai man ({rightmost} > "
+                     f"{board.viewport().width()}) — phai cuon ngang")
+
+    # --- 4. Dashboard: hero left, taller; supporting tiles in a 2x2 --------
+    win._goto(win._ROW_DASHBOARD, None)
+    for _ in range(8):
+        app.processEvents()
+    dash = win._page_widgets[win._ROW_DASHBOARD]
+    hero, small = dash.card_cost, dash.card_total
+    print(f"the Chi phi : x={left_of(hero, dash)} cao={hero.height()} · "
+          f"the phu x={left_of(small, dash)} cao={small.height()}")
+    if left_of(hero, dash) >= left_of(small, dash):
+        fails.append("the Chi phi khong nam ben trai cac the phu")
+    if hero.height() < small.height() * 1.5:
+        fails.append("the Chi phi khong cao gap ruoi the phu")
+    row1 = top_of(dash.card_total, dash)
+    row2 = top_of(dash.card_out, dash)
+    print(f"the phu hang 1 y={row1} · hang 2 y={row2} (phai la 2 hang)")
+    if row2 <= row1:
+        fails.append("4 the phu khong xep 2x2")
+
+    # --- 5. Cowork: the dot clears the composer, and is the declared size --
+    win._goto(win._ROW_WORKSPACE, ws._cowork_tab_idx)
+    for _ in range(8):
+        app.processEvents()
+    dock = win.help_agent
+    comp = ws._cowork.composer
+    dock_bottom = top_of(dock, win) + dock.height()
+    comp_top = top_of(comp, win)
+    print(f"cham {dock.width()}x{dock.height()} · day y={dock_bottom} · o nhap dinh y={comp_top}")
+    # Reading _DOT and comparing against it makes this unfailable — change the
+    # constant and the expectation moves with it (check_probes_bite caught
+    # exactly that). Bound what the design actually claims instead: a square
+    # chip, big enough to hit, far smaller than the 84x64 button it replaced.
+    # 26px was drawn, 52px is what the user asked for; 64 is the ceiling past
+    # which "gọn" stops being true.
+    if not 24 <= dock.width() <= 64 or dock.width() != dock.height():
+        fails.append(f"cham tro ly {dock.width()}x{dock.height()}px, "
+                     f"cho o khoang 24..64 va phai vuong")
+    if dock_bottom > comp_top:
+        fails.append("cham tro ly de len o nhap")
+    if left_of(dock, win) + dock.width() > win.width():
+        fails.append("cham tro ly tran ra ngoai cua so")
+
+    # --- 6. Co4E: sidebar left, canvas middle, config right ---------------
+    win._goto(win._ROW_WORKSPACE, ws._co4e_tab_idx)
+    for _ in range(8):
+        app.processEvents()
+    import cowork_local.ui.co4e_tab as co4e_mod
+    c4 = win.findChildren(co4e_mod.Co4ETab)[0]
+    xs = [c4._split.widget(i).x() for i in range(c4._split.count())]
+    print(f"Co4E 3 pane x = {xs}")
+    if xs != sorted(xs):
+        fails.append("thu tu 3 pane cua Co4E sai (trai → giua → phai)")
+    heads = [h.text() for h, _b, _s in c4._sections.values()]
+    print(f"cot sidebar: {heads}")
+    if len(heads) != 4:
+        fails.append(f"cot sidebar co {len(heads)} muc, ban ve ve 4")
+
+    print()
+    if fails:
+        print("*** LECH BO CUC ***")
+        for f in fails:
+            print("   " + f)
+        return 1
+    print("KET QUA VONG 2: hinh hoc khop ban ve")
+    return 0
+
+
+if __name__ == "__main__":
+    _rc = main()
+    # Qt (WebEngine especially) crashes during interpreter teardown with
+    # 0xC0000409 AFTER the work is done, which would mask the real result —
+    # and check_probes_bite reads these exit codes to decide whether a probe
+    # caught its mutation. Leave immediately with the verdict instead.
+    sys.stdout.flush()
+    sys.stderr.flush()
+    os._exit(_rc)
diff --git a/tools/check_multi_screen.py b/tools/check_multi_screen.py
new file mode 100644
index 0000000..b684efb
--- /dev/null
+++ b/tools/check_multi_screen.py
@@ -0,0 +1,133 @@
+"""Does the layout adapt across screen sizes AND display scalings?
+
+Two things change between machines, and only one of them is width:
+
+  * the screen is bigger or smaller — more or fewer pixels to lay out in;
+  * the display scale is 100/125/150% — the SAME number of logical pixels
+    holds less, because every label and margin is taller.
+
+A breakpoint written as a raw pixel number only holds on the machine it was
+tuned on. This walks a grid of (window size × font scale) and, for each cell,
+checks that no screen is clipped and that the panes folded when they had to.
+
+Run:  python tools/check_multi_screen.py
+"""
+from __future__ import annotations
+
+import os
+import sys
+
+sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(REPO.parent))
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+os.environ.setdefault("QT_QPA_PLATFORM", "offscreen")
+
+from capture_screens import _apply_theme, _freeze_schedulers, _isolate_home, _load_fonts  # noqa: E402
+
+# Real-world panels, from a small laptop up to 4K-at-150%-effective.
+SIZES = [(1280, 720), (1366, 768), (1600, 900), (1920, 1080), (2560, 1440)]
+# 9pt ≈ 100%, 11pt ≈ 125%, 14pt ≈ 150% of the design baseline.
+POINTS = [9, 11, 14]
+
+
+def main() -> int:
+    sandbox = _isolate_home()
+    from PySide6.QtGui import QFont
+    from PySide6.QtWidgets import QApplication
+
+    app = QApplication([])
+    _load_fonts()
+    _freeze_schedulers()
+
+    _apply_theme(app)   # measure the styled window, not a bare one
+    from cowork_local.config import AppConfig, CONFIG_DIR
+    assert str(sandbox) in str(CONFIG_DIR), f"isolation failed: {CONFIG_DIR}"
+
+    from seed_demo_data import seed
+    seed()
+
+    from cowork_local.app import MainWindow
+    from cowork_local.i18n import set_language
+    from cowork_local.state import AppContext
+    from cowork_local.ui.widgets import ui_scale
+
+    set_language("vi")
+    fails: list[str] = []
+    print(f"{'co chu':>7} {'cua so':>11} {'thang do':>9}  {'man bi bo':>10}  panel da gap")
+    print("-" * 86)
+
+    for pt in POINTS:
+        f = QFont(app.font())
+        f.setPointSize(pt)
+        app.setFont(f)
+        win = MainWindow(AppContext(AppConfig.load()), user_name="local")
+        win.show()
+        for _ in range(6):
+            app.processEvents()
+        ws = win.workspace
+        dests = [("Project", win._ROW_WORKSPACE, ws._project_tab_idx),
+                 ("Cowork", win._ROW_WORKSPACE, ws._cowork_tab_idx),
+                 ("Co4E", win._ROW_WORKSPACE, ws._co4e_tab_idx),
+                 ("Folder", win._ROW_WORKSPACE, ws._folder_tab_idx),
+                 ("GraphRAG", win._ROW_WORKSPACE, ws._graphrag_tab_idx),
+                 ("Schedule", win._ROW_SCHEDULE, None),
+                 ("Dashboard", win._ROW_DASHBOARD, None),
+                 ("Monitoring", win._ROW_MONITORING, None)]
+
+        for w, h in SIZES:
+            win.resize(w, h)
+            for _ in range(6):
+                app.processEvents()
+            clipped = []
+            for name, page, sub in dests:
+                win._goto(page, sub)
+                for _ in range(4):
+                    app.processEvents()
+                widget = win._page_widgets[page]
+                if widget.minimumSizeHint().width() > widget.width() + 1:
+                    clipped.append(name)
+            folded = []
+            if getattr(ws, "_is_narrow", False):
+                folded.append("pane Project/History")
+            import cowork_local.ui.co4e_tab as co4e_mod
+            c4 = win.findChildren(co4e_mod.Co4ETab)[0]
+            if c4._config_collapsed:
+                folded.append("panel cau hinh Co4E")
+            scale = ui_scale(win)
+            print(f"{pt:>5}pt {w:>5}x{h:<5} {scale:>8.2f}  "
+                  f"{(', '.join(clipped) or 'khong'):>10}  {', '.join(folded) or '-'}")
+            if clipped:
+                fails.append(f"{pt}pt {w}x{h}: bi bo — {clipped}")
+        # The window must never demand more than the smallest panel we support.
+        need = win.minimumSizeHint().width()
+        if need > SIZES[0][0]:
+            fails.append(f"{pt}pt: cua so doi toi thieu {need}px, "
+                         f"rong hon man nho nhat ({SIZES[0][0]}px)")
+        print(f"{'':>7} {'':>11} {'':>9}  cua so doi toi thieu: {need}px")
+        win.close()
+        del win
+        for _ in range(3):
+            app.processEvents()
+
+    print()
+    if fails:
+        print("*** KHONG THICH UNG DUOC ***")
+        for x in fails:
+            print("   " + x)
+        return 1
+    print("KET QUA: bo cuc thich ung o moi co man hinh va muc phong chu da thu")
+    return 0
+
+
+if __name__ == "__main__":
+    _rc = main()
+    # Qt (WebEngine especially) crashes during interpreter teardown with
+    # 0xC0000409 AFTER the work is done, which would mask the real result —
+    # and check_probes_bite reads these exit codes to decide whether a probe
+    # caught its mutation. Leave immediately with the verdict instead.
+    sys.stdout.flush()
+    sys.stderr.flush()
+    os._exit(_rc)
diff --git a/tools/check_nav.py b/tools/check_nav.py
new file mode 100644
index 0000000..8fe0a41
--- /dev/null
+++ b/tools/check_nav.py
@@ -0,0 +1,342 @@
+"""Smoke-test the flat nav rail against a real MainWindow.
+
+Builds the window offscreen on a COPY of ~/.cowork_local (schedulers no-oped, so
+nothing scheduled can fire) and answers the questions the redesign has to get
+right:
+
+  * is every destination that used to be reachable still reachable?
+  * does the rail highlight follow the content, from clicks AND from _goto?
+  * do the project-gated rows stay listed (greyed) instead of disappearing?
+  * does Monitoring still expose all eight sub-views, now via its own tab strip?
+
+Run:  python tools/check_nav.py
+"""
+from __future__ import annotations
+
+import os
+import sys
+
+sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(REPO.parent))                        # `import cowork_local`
+sys.path.insert(0, str(Path(__file__).resolve().parent))    # sibling tools
+os.environ.setdefault("QT_QPA_PLATFORM", "offscreen")
+
+from capture_screens import _apply_theme, _freeze_schedulers, _isolate_home, _load_fonts  # noqa: E402
+
+
+def rows(tree):
+    from PySide6.QtCore import Qt
+    out = []
+    for i in range(tree.topLevelItemCount()):
+        it = tree.topLevelItem(i)
+        data = it.data(0, Qt.UserRole) or {}
+        out.append((it.text(0), data.get("page"), data.get("sub"),
+                    not it.isDisabled()))
+    return out
+
+
+def main() -> int:
+    sandbox = _isolate_home()
+    from PySide6.QtWidgets import QApplication
+
+    app = QApplication([])
+    _load_fonts()
+    _freeze_schedulers()
+
+    _apply_theme(app)   # measure the styled window, not a bare one
+    from cowork_local.config import CONFIG_DIR
+    assert str(sandbox) in str(CONFIG_DIR), f"isolation failed: {CONFIG_DIR}"
+
+    from seed_demo_data import seed
+    seed()
+
+    from cowork_local.app import MainWindow
+    from cowork_local.config import AppConfig
+    from cowork_local.i18n import set_language
+    from cowork_local.state import AppContext
+
+    set_language("vi")
+    win = MainWindow(AppContext(AppConfig.load()), user_name="local")
+    app.processEvents()
+
+    fails: list[str] = []
+    print("THANH MENU CHINH")
+    for label, page, sub, on in rows(win.nav):
+        print(f"   {label:22} page={page} sub={sub}  {'' if on else '(mo — chua chon project)'}")
+    print("NHOM GHIM DAY")
+    for label, page, sub, on in rows(win.nav_bottom):
+        print(f"   {label:22} page={page} sub={sub}")
+    print(f"NUT: {win._nav_settings_btn.text()}")
+    print()
+
+    main_rows, bottom_rows = rows(win.nav), rows(win.nav_bottom)
+    n_total = len(main_rows) + len(bottom_rows)
+    # Five Workspace sub-views + Schedule, then Dashboard + Monitoring.
+    if len(main_rows) != 6:
+        fails.append(f"thanh chinh co {len(main_rows)} dong, cho 6")
+    if len(bottom_rows) != 2:
+        fails.append(f"nhom day co {len(bottom_rows)} dong, cho 2")
+    if any(sub is not None for _l, _p, sub, _o in bottom_rows):
+        fails.append("nhom day khong duoc mang sub-tab")
+
+    # The two gated rows must be PRESENT (that is the point) — greyed is fine.
+    labels = [r[0] for r in main_rows]
+    ws_labels = [lab for lab, _i, _ic, _on in win.workspace.nav_entries()]
+    for lab in ws_labels:
+        if lab not in labels:
+            fails.append(f"mat dong Workspace: {lab}")
+    print(f"du 5 man Workspace tren thanh menu: {all(l in labels for l in ws_labels)}"
+          f"  ({', '.join(ws_labels)})")
+
+    # Highlight must follow the content for every row, both ways round.
+    # Re-fetch items by index every time: navigating can rebuild the rail, which
+    # deletes the C++ objects a held reference points at.
+    ok_click = ok_goto = 0
+    for which, name in ((win.nav, "chinh"), (win.nav_bottom, "day")):
+        for i in range(which.topLevelItemCount()):
+            label, page, sub, on = rows(which)[i]
+            if not on:
+                continue
+            which.setCurrentItem(which.topLevelItem(i))    # as if clicked
+            app.processEvents()
+            if win.pages.currentIndex() == page:
+                ok_click += 1
+            else:
+                fails.append(f"bam '{label}' ({name}) khong mo dung trang")
+            win._goto(page, sub)                           # programmatic
+            app.processEvents()
+            cur = next((t.currentItem() for t in (win.nav, win.nav_bottom)
+                        if t.currentItem() is not None and t.currentItem().isSelected()), None)
+            if cur is not None and cur.text(0) == label:
+                ok_goto += 1
+            else:
+                fails.append(f"_goto toi '{label}' nhung vet sang o "
+                             f"'{cur.text(0) if cur else 'khong dau'}'")
+    n_live = sum(1 for r in main_rows + bottom_rows if r[3])
+    print(f"bam mo dung trang        : {ok_click}/{n_live}")
+    print(f"vet sang theo _goto      : {ok_goto}/{n_live}")
+
+    # Only one row may look active across the two lists.
+    lit = sum(1 for t in (win.nav, win.nav_bottom) for i in range(t.topLevelItemCount())
+              if t.topLevelItem(i).isSelected())
+    print(f"so dong dang sang        : {lit} (phai la 1)")
+    if lit != 1:
+        fails.append(f"{lit} dong cung sang")
+
+    # Monitoring's eight sub-views moved to its own tab strip — check it is shown.
+    win._ensure_page(win._ROW_MONITORING)
+    mon = win._page_widgets[win._ROW_MONITORING]
+    # isVisible() is False for everything while the window has never been shown;
+    # isHidden() asks the question that actually matters here.
+    strip_visible = not mon.tabs.tabBar().isHidden() if hasattr(mon, "tabs") else False
+    n_sub = len(mon.nav_subtabs())
+    print(f"Monitoring: {n_sub} man, dai tab hien = {strip_visible}")
+    if n_sub != 8:
+        fails.append(f"Monitoring chi con {n_sub} man")
+    if not strip_visible:
+        fails.append("dai tab Monitoring van bi an — 8 man khong toi duoc")
+
+    # Workspace's own strip stays hidden: the rail lists those five instead.
+    ws_strip = not win.workspace.tabs.tabBar().isHidden()
+    print(f"Workspace: dai tab hien = {ws_strip} (phai la False — thanh menu lo roi)")
+    if ws_strip:
+        fails.append("dai tab Workspace hien lai — trung voi thanh menu")
+
+    # The whole point of the change: with no project selected the two gated rows
+    # must stay in place, greyed — not vanish and resize the menu.
+    win.workspace._update_tab_visibility(False)
+    app.processEvents()
+    gated = rows(win.nav)
+    off = [lab for lab, _p, _s, on in gated if not on]
+    print()
+    print(f"chua chon project   : van du {len(gated)} dong, mo: {off or 'khong'}")
+    if len(gated) != len(main_rows):
+        fails.append(f"chua chon project thi thanh menu con {len(gated)} dong "
+                     f"(truoc {len(main_rows)}) — item van bien mat")
+    if len(off) != 2:
+        fails.append(f"cho 2 dong bi mo (Cowork, GraphRAG), thay {len(off)}")
+
+    # --- rail header: project picker + new chat (Phase A) ------------------
+    print()
+    n_proj = win.nav_project.count()
+    print(f"bo chon project : {n_proj} muc · dang chon "
+          f"{win.nav_project.currentText()!r}")
+    print(f"nut chat moi    : {win.nav_new_chat.text()!r} "
+          f"(bat = {win.nav_new_chat.isEnabled()})")
+    if win.nav_project.currentData() != win.workspace.selected_project_id():
+        fails.append("bo chon project khong khop voi project dang chon")
+
+    # Picking in the rail must move the real selection, not just the combo.
+    if n_proj > 1:
+        other = next(i for i in range(n_proj)
+                     if win.nav_project.itemData(i) != win.workspace.selected_project_id())
+        want = win.nav_project.itemData(other)
+        win.nav_project.setCurrentIndex(other)
+        app.processEvents()
+        got = win.workspace.selected_project_id()
+        print(f"doi project tu rail: chon {want} -> workspace dang o {got}")
+        if got != want:
+            fails.append("doi project tren rail khong doi project that")
+        if win.nav_project.currentData() != got:
+            fails.append("bo chon khong dong bo nguoc lai")
+
+    # New chat from any screen: lands on Cowork with an empty thread, and the
+    # old toolbar button must still be there.
+    win._goto(win._ROW_DASHBOARD, None)
+    app.processEvents()
+    before = win.cowork.current_session_id() if hasattr(win.cowork, "current_session_id") else None
+    win._on_rail_new_chat()
+    app.processEvents()
+    on_cowork = (win.pages.currentIndex() == win._ROW_WORKSPACE
+                 and win.workspace.current_subtab() == win.workspace._cowork_tab_idx)
+    print(f"bam '＋ chat moi' tu Dashboard -> dung o Cowork: {on_cowork}")
+    if not on_cowork:
+        fails.append("nut chat moi khong dua toi Cowork")
+    old_btn = getattr(win.cowork, "_new_btn", None)
+    print(f"nut cu tren thanh Cowork con nguyen: {old_btn is not None} "
+          f"({old_btn.text()!r})" if old_btn is not None else "MAT NUT CU")
+    if old_btn is None:
+        fails.append("nut 'Cuoc tro chuyen moi' cu tren Cowork bi mat")
+
+    # --- rail RECENTS (Phase B) --------------------------------------------
+    from PySide6.QtCore import Qt as _Qt
+    win._refresh_rail_recents()
+    app.processEvents()
+    rec = win.nav_recents
+    items = [(rec.topLevelItem(i).text(0), rec.topLevelItem(i).data(0, _Qt.UserRole) or {})
+             for i in range(rec.topLevelItemCount())]
+    threads = [t for t, d in items if d.get("path")]
+    print()
+    print(f"GAN DAY ({win.nav_recents_hdr.text()}): {len(threads)} thread"
+          f" + dong '{items[-1][0]}'")
+    for t in threads:
+        print(f"   {t}")
+    if not items[-1][1].get("all"):
+        fails.append("thieu dong 'Tat ca project…'")
+    if len(threads) > win._RAIL_RECENTS:
+        fails.append(f"GAN DAY liet ke {len(threads)} thread, toi da {win._RAIL_RECENTS}")
+
+    # Scoped to the active project — a flat cross-project list would lose that.
+    pid = win.workspace.selected_project_id()
+    all_titles = {t["title"] for t in win.workspace.recent_threads(99)}
+    other_pid = next((p for _n, p in win.workspace.project_choices() if p != pid), "")
+    if other_pid:
+        win.workspace.choose_project(other_pid)
+        app.processEvents()
+        win._refresh_rail_recents()
+        other_titles = {t["title"] for t in win.workspace.recent_threads(99)}
+        print(f"doi sang project khac: danh sach doi = {other_titles != all_titles}")
+        if other_titles & all_titles and other_titles == all_titles:
+            fails.append("GAN DAY khong gom theo project — hai project cung mot danh sach")
+        win.workspace.choose_project(pid)
+        app.processEvents()
+        win._refresh_rail_recents()
+
+    # Clicking a thread must open it through the normal route.
+    if threads:
+        win._goto(win._ROW_DASHBOARD, None)
+        app.processEvents()
+        # Re-fetch: the project switch above rebuilt this list, deleting the
+        # items a held reference would point at.
+        win._on_rail_recent(win.nav_recents.topLevelItem(0))
+        app.processEvents()
+        on_cowork = (win.pages.currentIndex() == win._ROW_WORKSPACE
+                     and win.workspace.current_subtab() == win.workspace._cowork_tab_idx)
+        print(f"bam thread gan day -> mo o Cowork: {on_cowork}")
+        if not on_cowork:
+            fails.append("bam thread trong GAN DAY khong mo duoc")
+
+    # The full History panel must still exist, with all its controls.
+    sb = win.sidebar
+    kept = [n for n in ("search_box", "search_btn", "tree", "_collapse_btn")
+            if getattr(sb, n, None) is not None]
+    print(f"khung History day du van con: {len(kept)}/4 control goc {kept}")
+    if len(kept) != 4:
+        fails.append("khung History bi mat control")
+
+    # --- account row moved off the top bar (Phase C) -----------------------
+    print()
+    from PySide6.QtWidgets import QWidget as _QWidget
+    top_kids = {w.objectName() or type(w).__name__
+                for w in win.findChildren(_QWidget)
+                if w.parent() is not None and w.parent().objectName() == "topbar"}
+    print(f"top bar con lai : {sorted(top_kids)}")
+    for name in ("provider_combo", "language_combo", "theme_btn"):
+        w = getattr(win, name, None)
+        if w is None:
+            fails.append(f"mat control {name}")
+            continue
+        in_rail = win._nav_wrap.isAncestorOf(w)
+        print(f"   {name:16} nam trong rail = {in_rail}")
+        if not in_rail:
+            fails.append(f"{name} chua chuyen xuong rail")
+    # They must still work, not just exist: flipping the language must retranslate.
+    from cowork_local.i18n import get_language
+    before_lang = get_language()
+    other = next(i for i in range(win.language_combo.count())
+                 if win.language_combo.itemData(i) != before_lang)
+    win.language_combo.setCurrentIndex(other)
+    app.processEvents()
+    after_lang = get_language()
+    print(f"doi ngon ngu tu rail: {before_lang} -> {after_lang}")
+    if after_lang == before_lang:
+        fails.append("combo ngon ngu o rail khong doi duoc ngon ngu")
+    win.language_combo.setCurrentIndex(win.language_combo.findData(before_lang))
+    app.processEvents()
+    print(f"provider dang chon : {win.provider_combo.currentText()!r}")
+    print(f"tai khoan          : {win.account_lbl.text()!r}")
+
+    # Collapsing the rail must not take the project picker away with it: at
+    # 54px the combo cannot show a name, so a folder button stands in for it.
+    if not win._nav_collapsed:
+        win._toggle_nav()
+        app.processEvents()
+    mini = getattr(win, "nav_project_btn", None)
+    if mini is None or mini.isHidden():
+        fails.append("thu gon rail xong khong con cach nao doi project")
+    else:
+        mini.menu().aboutToShow.emit()
+        app.processEvents()
+        menu_items = [a.text() for a in mini.menu().actions()]
+        combo_items = [win.nav_project.itemText(i)
+                       for i in range(win.nav_project.count())]
+        if menu_items != combo_items:
+            fails.append(f"menu project khi thu gon lech voi combo: "
+                         f"{menu_items} vs {combo_items}")
+        elif len(menu_items) > 1:
+            before = win.workspace.selected_project_id()
+            # Any row but the one already selected, or nothing would change.
+            row = (win.nav_project.currentIndex() + 1) % len(menu_items)
+            mini.menu().actions()[row].trigger()
+            app.processEvents()
+            after = win.workspace.selected_project_id()
+            if after == before:
+                fails.append("chon project tu menu thu gon khong doi project")
+            else:
+                print(f"doi project khi thu gon: {before} -> {after}")
+    win._toggle_nav()
+    app.processEvents()
+
+    print()
+    print(f"tong dong dieu huong: {n_total} + nut Cai dat")
+    if fails:
+        print("*** LOI ***")
+        for f in fails:
+            print("   " + f)
+        return 1
+    print("KET QUA: thanh menu phang chay dung")
+    return 0
+
+
+if __name__ == "__main__":
+    _rc = main()
+    # Qt (WebEngine especially) crashes during interpreter teardown with
+    # 0xC0000409 AFTER the work is done, which would mask the real result —
+    # and check_probes_bite reads these exit codes to decide whether a probe
+    # caught its mutation. Leave immediately with the verdict instead.
+    sys.stdout.flush()
+    sys.stderr.flush()
+    os._exit(_rc)
diff --git a/tools/check_no_hscroll.py b/tools/check_no_hscroll.py
new file mode 100644
index 0000000..70bf2f9
--- /dev/null
+++ b/tools/check_no_hscroll.py
@@ -0,0 +1,156 @@
+"""Prove the long dialogs never scroll sideways — including at large fonts.
+
+The report that started this came from a display at 125–150% scaling, where
+every label is wider than on a 100% screen. Rather than trusting one font size,
+this runs each dialog at several point sizes and several widths and fails if any
+horizontal scrollbar turns up, in the scroll area or in the section index.
+
+Run:  python tools/check_no_hscroll.py
+"""
+from __future__ import annotations
+
+import os
+import sys

+
+sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(REPO.parent))
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+os.environ.setdefault("QT_QPA_PLATFORM", "offscreen")
+
+from capture_screens import _apply_theme, _isolate_home, _load_fonts  # noqa: E402
+
+WIDTHS = (1100, 964, 820, 700)
+POINTS = (9, 11, 14)          # ~100%, ~125%, ~150% display scaling
+
+
+def hscroll(dlg, app):
+    """(scroll-area overflow, index overflow) — each True means content is
+    wider than the space it is given.
+
+    A dialog built from step tabs has one scroll area per page, and a page that
+    is not current has stale geometry — so each tab is brought to the front
+    before its page is measured.
+    """
+    from PySide6.QtWidgets import QListWidget, QScrollArea
+    over_area = False
+    stack = getattr(dlg, "section_stack", None)
+    if stack is not None:
+        # One scroll area per section; a page that is not current has stale
+        # geometry, so bring each to the front before measuring it.
+        idx = dlg.section_list
+        keep = idx.currentRow()
+        for i in range(stack.count()):
+            idx.setCurrentRow(i)
+            for _ in range(3):
+                app.processEvents()
+            sa = stack.widget(i)
+            if sa.widget().sizeHint().width() > sa.viewport().width():
+                over_area = True
+        idx.setCurrentRow(keep)
+    else:
+        sa = dlg.findChildren(QScrollArea)[0]
+        over_area = sa.widget().sizeHint().width() > sa.viewport().width()
+    idx = dlg.findChild(QListWidget, "sectionIndex")
+    over_idx = False
+    if idx is not None:
+        over_idx = _index_elides(idx)
+    return over_area, over_idx
+
+
+def _index_elides(idx) -> bool:
+    """True when a section name does not fit the visible width of the list.
+
+    Two earlier attempts got this wrong:
+      · `sizeHintForColumn(0) > viewport().width()` returns 182px at 9pt, 11pt
+        and 14pt alike — it does not track the font, so it called the 9pt
+        dialog broken while nothing on screen was clipped.
+      · Asking the delegate whether it elides. It does not: the view lays each
+        row out at its natural width and the viewport simply clips what runs
+        past it, so a list squeezed to 90px still reported "no elision".
+
+    So compare the painted text against the width that is actually on screen.
+    """
+    from PySide6.QtGui import QFontMetrics
+    from PySide6.QtWidgets import QStyle, QStyleOptionViewItem
+
+    for i in range(idx.count()):
+        row = idx.indexFromItem(idx.item(i))
+        opt = QStyleOptionViewItem()
+        idx.initViewItemOption(opt)
+        opt.rect = idx.visualRect(row)
+        idx.itemDelegate().initStyleOption(opt, row)
+        box = idx.style().subElementRect(QStyle.SE_ItemViewItemText, opt, idx)
+        label = idx.item(i).text()
+        visible = idx.viewport().width() - box.left()
+        if QFontMetrics(opt.font).horizontalAdvance(label) > visible:
+            return True
+    return False
+
+
+def main() -> int:
+    sandbox = _isolate_home()
+    from PySide6.QtGui import QFont
+    from PySide6.QtWidgets import QApplication
+
+    app = QApplication([])
+    _load_fonts()
+
+    _apply_theme(app)   # measure the styled widget, not a bare one
+    from cowork_local.config import AppConfig, CONFIG_DIR
+    assert str(sandbox) in str(CONFIG_DIR), f"isolation failed: {CONFIG_DIR}"
+
+    from cowork_local.i18n import set_language
+    from cowork_local.state import AppContext
+    from cowork_local.ui.settings_dialog import SettingsDialog
+    from cowork_local.ui.task_editor_dialog import TaskEditorDialog
+
+    set_language("vi")
+    ctx = AppContext(AppConfig.load())
+    fails: list[str] = []
+
+    for pt in POINTS:
+        f = QFont(app.font())
+        f.setPointSize(pt)
+        app.setFont(f)
+        for name, make in (("Cai dat", lambda: SettingsDialog(ctx)),
+                           ("Task editor", lambda: TaskEditorDialog(ctx=ctx))):
+            dlg = make()
+            dlg.show()
+            row = []
+            for w in WIDTHS:
+                dlg.resize(w, 900)
+                for _ in range(4):
+                    app.processEvents()
+                over_area, over_idx = hscroll(dlg, app)
+                row.append(f"{w}:{'A' if over_area else '.'}{'I' if over_idx else '.'}")
+                if over_area:
+                    fails.append(f"{name} @ {pt}pt {w}px — vung cuon tran ngang")
+                if over_idx:
+                    fails.append(f"{name} @ {pt}pt {w}px — muc luc tran ngang")
+            print(f"  {pt:>2}pt  {name:12} {' '.join(row)}")
+            dlg.close()
+        print()
+
+    print("A = vung cuon tran · I = muc luc tran · . = khong tran")
+    print()
+    if fails:
+        print("*** LOI ***")
+        for x in fails:
+            print("   " + x)
+        return 1
+    print("KET QUA: khong hop thoai nao cuon ngang, o moi co chu va be rong da thu")
+    return 0
+
+
+if __name__ == "__main__":
+    _rc = main()
+    # Qt (WebEngine especially) crashes during interpreter teardown with
+    # 0xC0000409 AFTER the work is done, which would mask the real result —
+    # and check_probes_bite reads these exit codes to decide whether a probe
+    # caught its mutation. Leave immediately with the verdict instead.
+    sys.stdout.flush()
+    sys.stderr.flush()
+    os._exit(_rc)
diff --git a/tools/check_orphans.py b/tools/check_orphans.py
new file mode 100644
index 0000000..83fd7a5
--- /dev/null
+++ b/tools/check_orphans.py
@@ -0,0 +1,114 @@
+"""Catch controls orphaned by a neighbouring container being removed.
+
+The audit page defaults every control to "giữ nguyên tại chỗ" and lists only the
+ones that move. That default is unsafe when the thing a control sits *with* is
+removed — then "unchanged" is impossible and the control has quietly lost its
+home. This is how the Co4E "＋ new workflow" button vanished from the proposal:
+it lives in the same layout row as the flow tab strip, and the strip was proposed
+for removal.
+
+Note the relationship is SIBLING, not parent/child: `flow_row` holds both the
+scroller (wrapping `flow_bar`) and `flow_add_btn`. An earlier version of this
+check looked only for `container.addWidget(child)` and therefore found nothing —
+it passed while the bug was live. Verify any change here with --selftest.
+
+Run:  python tools/check_orphans.py [--selftest]
+"""
+from __future__ import annotations
+
+import ast
+import io
+import json
+import sys
+
+sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(REPO / "tools"))
+
+# A MOVES note containing one of these means the thing is going away, so anything
+# that only existed alongside it needs a new home.
+REMOVAL_WORDS = ("bỏ;", "bỏ ", "gộp", "thay thế")
+
+
+def layout_map(path: Path) -> tuple[dict[str, list[str]], dict[str, str]]:
+    """(layout var -> widget vars added to it, wrapper var -> widget it wraps)."""
+    members: dict[str, list[str]] = {}
+    alias: dict[str, str] = {}
+    tree = ast.parse(io.open(path, encoding="utf-8").read(), filename=str(path))
+    for node in ast.walk(tree):
+        if not isinstance(node, ast.Call) or not isinstance(node.func, ast.Attribute):
+            continue
+        try:
+            owner = ast.unparse(node.func.value)
+            args = [ast.unparse(a) for a in node.args]
+        except Exception:                                       # noqa: BLE001
+            continue
+        if not args:
+            continue
+        if node.func.attr in ("addWidget", "addLayout"):
+            members.setdefault(owner, []).append(args[0])
+        elif node.func.attr == "setWidget":
+            # QScrollArea(inner): the scroller stands in for what it holds.
+            alias[owner] = args[0]
+    return members, alias
+
+
+def main(argv: list[str]) -> int:
+    import build_audit_page as B
+
+    selftest = "--selftest" in argv
+    moves = dict(B.MOVES)
+    if selftest:
+        # Re-create the original bug and prove the check reports it.
+        moves.pop("self.flow_add_btn", None)
+
+    removed = {k for k, v in moves.items()
+               if any(w in v.lower() for w in REMOVAL_WORDS)}
+    ctl = json.loads((REPO / "docs" / "screens" / "controls.json")
+                     .read_text(encoding="utf-8"))
+
+    problems: list[tuple[str, str, str, str]] = []
+    n_sib = 0
+    for rec in ctl:
+        path = REPO / rec["file"]
+        if not path.exists():
+            continue
+        members, alias = layout_map(path)
+        labels = {c["var"]: (c.get("label_vi") or c.get("label") or "?")
+                  for c in rec["controls"]}
+        for layout, kids in members.items():
+            # Resolve wrappers so a scroller counts as the widget it holds.
+            resolved = {k: alias.get(k, k) for k in kids}
+            gone = [k for k, r in resolved.items() if r in removed]
+            if not gone:
+                continue
+            for kid in kids:
+                if resolved[kid] in removed or kid not in labels:
+                    continue
+                n_sib += 1
+                if kid not in moves:
+                    problems.append((rec["file"], kid, labels[kid],
+                                     f"cung hang voi {resolved[gone[0]]}"))
+
+    print(f"control nam canh mot thanh phan bi bo : {n_sib}")
+    print(f"thanh phan bi bo trong MOVES          : {len(removed)}"
+          f"  {sorted(removed) if removed else ''}")
+    print()
+    if problems:
+        print("*** CONTROL MO COI ***")
+        for f, var, label, why in problems:
+            print(f"   {f}: {var}  ({label})  — {why}")
+        print()
+        print(f"KET QUA: {len(problems)} control mat cho, can khai bao trong MOVES")
+        return 0 if selftest else 1
+    if selftest:
+        print("KET QUA SELFTEST: *** THAT BAI — phep kiem KHONG bat duoc loi da biet ***")
+        return 1
+    print("KET QUA: khong co control nao bi mo coi")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main(sys.argv[1:]))
diff --git a/tools/check_probes_bite.py b/tools/check_probes_bite.py
new file mode 100644
index 0000000..21f1d82
--- /dev/null
+++ b/tools/check_probes_bite.py
@@ -0,0 +1,132 @@
+"""Round 5: do the checks actually bite?
+
+Rounds 1–4 all report green. That is only worth something if the checks would
+have turned red had the work not been done. So this round breaks the app on
+purpose, one feature at a time, and fails if the corresponding check still
+passes — a check that cannot fail is not evidence.
+
+Each mutation is applied by monkey-patching the module BEFORE the checker
+builds its own window, then undone.
+
+Run:  python tools/check_probes_bite.py
+"""
+from __future__ import annotations
+
+import io
+import os
+import runpy
+import subprocess
+import sys

+
+sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(REPO.parent))
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+os.environ.setdefault("QT_QPA_PLATFORM", "offscreen")
+
+# (name, file, find, replace, checker that must FAIL because of it)
+MUTATIONS = [
+    ("phong to cham tro ly gap doi khai bao",
+     "ui/help_agent_widget.py", "_DOT = 52", "_DOT = 104",
+     "check_layout_geometry.py"),
+    ("tra lane Running ve khong vien",
+     "ui/schedule_task_tab.py",
+     'if status == "running" and counts[status]:',
+     'if False:',
+     "check_design_parity.py"),
+    ("bo cot muc luc cua Cai dat",
+     "ui/settings_dialog.py",
+     "self.section_list, self.section_stack = section_panels(pages)",
+     "self.section_list, self.section_stack = section_panels(pages[:1])",
+     "check_dialogs.py"),
+    ("noi lai dai tab flow Co4E",
+     "ui/co4e_tab.py",
+     "self.flow_scroll.setVisible(False)",
+     "self.flow_scroll.setVisible(True)",
+     "check_co4e.py"),
+    ("bo dong 'Tat ca project...' khoi GAN DAY",
+     "app.py",
+     'more.setData(0, Qt.UserRole, {"all": True})',
+     'more.setData(0, Qt.UserRole, {})',
+     "check_design_parity.py"),
+    ("tra thanh menu ve accordion (bo nhom day)",
+     "app.py",
+     'rows.append((self.nav_bottom, self._ROW_DASHBOARD, None,',
+     'rows.append((self.nav, self._ROW_DASHBOARD, None,',
+     "check_layout_geometry.py"),
+]
+
+
+def run_checker(script: str) -> int:
+    """Run a checker in a fresh process; return its exit code."""
+    proc = subprocess.run(
+        [sys.executable, str(REPO / "tools" / script)],
+        cwd=REPO, capture_output=True, text=True, encoding="utf-8",
+        errors="replace", env={**os.environ, "QT_QPA_PLATFORM": "offscreen",
+                               "PYTHONIOENCODING": "utf-8"})
+    return proc.returncode
+
+
+def tree_state() -> str:
+    return subprocess.run(["git", "status", "--short"], cwd=REPO,
+                          capture_output=True, text=True).stdout.strip()
+
+
+def main() -> int:
+    fails: list[str] = []
+    # Compare the tree BEFORE and AFTER, not against a clean tree: work in
+    # progress is legitimately uncommitted, and demanding a clean tree made this
+    # round fail for a reason that has nothing to do with the mutations.
+    before = tree_state()
+    print(f"{'hong gi':44} {'phep do':26} ket qua")
+    print("-" * 88)
+    for name, rel, find, repl, checker in MUTATIONS:
+        path = REPO / rel
+        # newline="" both ways: the default translates on read AND write, so a
+        # LF file came back as CRLF and every mutated file was left "modified"
+        # even after being restored.
+        with io.open(path, "r", encoding="utf-8", newline="") as fh:
+            original = fh.read()
+        if find not in original:
+            fails.append(f"{name}: khong tim thay doan can sua trong {rel}")
+            print(f"{name:44} {checker:26} *** KHONG AP DUNG DUOC ***")
+            continue
+
+        def write(text: str) -> None:
+            with io.open(path, "w", encoding="utf-8", newline="") as fh:
+                fh.write(text)
+
+        write(original.replace(find, repl, 1))
+        try:
+            code = run_checker(checker)
+        finally:
+            write(original)                                # always restore
+        bit = code != 0
+        print(f"{name:44} {checker:26} {'BAT DUOC' if bit else '*** KHONG BAT ***'}")
+        if not bit:
+            fails.append(f"{name}: {checker} van bao xanh du da lam hong")
+
+    # Everything must be back exactly as it was before this run.
+    after = tree_state()
+    same = after == before
+    print()
+    print("cay lam viec sau khi thu giong het truoc:", "co" if same else "*** KHAC ***")
+    if not same:
+        print("   truoc:", before.replace("\n", " | ") or "(sach)")
+        print("   sau  :", after.replace("\n", " | ") or "(sach)")
+        fails.append("file chua duoc khoi phuc sau khi thu")
+
+    print()
+    if fails:
+        print("*** VONG 5 THAT BAI ***")
+        for f in fails:
+            print("   " + f)
+        return 1
+    print(f"KET QUA VONG 5: ca {len(MUTATIONS)} phep do deu bat duoc loi khi co tinh lam hong")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tools/check_project_gate.py b/tools/check_project_gate.py
new file mode 100644
index 0000000..07454dc
--- /dev/null
+++ b/tools/check_project_gate.py
@@ -0,0 +1,116 @@
+"""With no project chosen, the gated screens must stay shut on every route.
+
+The redesign shows Cowork and GraphRAG at all times instead of making them
+appear and disappear. That is a presentation change only — the gate is the same
+`isTabVisible` state as before — so this asserts the gate still actually holds,
+and holds for programmatic jumps too, not just for the greyed rail rows.
+
+Runs against an EMPTY home, not a copy of the real one: with any project on
+disk the gate is open and the test proves nothing.
+"""
+from __future__ import annotations
+
+import os
+import sys
+import tempfile
+
+sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(REPO.parent))
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+os.environ.setdefault("QT_QPA_PLATFORM", "offscreen")
+
+sandbox = Path(tempfile.mkdtemp(prefix="cowork-gate-"))
+(sandbox / ".cowork_local").mkdir(parents=True, exist_ok=True)
+for _var in ("USERPROFILE", "HOME"):
+    os.environ[_var] = str(sandbox)
+os.environ.pop("HOMEDRIVE", None)
+os.environ.pop("HOMEPATH", None)
+
+from capture_screens import _apply_theme, _freeze_schedulers, _load_fonts  # noqa: E402
+
+
+def main() -> int:
+    from PySide6.QtCore import Qt
+    from PySide6.QtWidgets import QApplication
+
+    app = QApplication([])
+    _load_fonts()
+    _freeze_schedulers()
+    _apply_theme(app)
+
+    from cowork_local.config import CONFIG_DIR
+    assert str(sandbox) in str(CONFIG_DIR), f"isolation failed: {CONFIG_DIR}"
+
+    from cowork_local.app import MainWindow
+    from cowork_local.config import AppConfig
+    from cowork_local.i18n import set_language
+    from cowork_local.state import AppContext
+
+    set_language("vi")
+    win = MainWindow(AppContext(AppConfig.load()), user_name="local")
+    win.resize(1400, 900)
+    win.show()
+    app.processEvents()
+
+    fails = []
+    n_projects = len(win.workspace.project_choices())
+    print(f"project tren dia: {n_projects}")
+    if n_projects:
+        print("FAIL  home khong rong — phep thu vo nghia")
+        sys.stdout.flush()
+        os._exit(1)
+
+    tree = win.nav
+    rows = [(i, tree.topLevelItem(i)) for i in range(tree.topLevelItemCount())]
+    locked = [(i, it) for i, it in rows if it.isDisabled()]
+    print("dong bi khoa :", [it.text(0) for _i, it in locked])
+    print("dong mo binh thuong:", [it.text(0) for _i, it in rows if not it.isDisabled()])
+    if not locked:
+        fails.append("khong project nao ma khong dong nao bi khoa")
+
+    for _i, it in locked:
+        if not it.toolTip(0):
+            fails.append(f"dong khoa '{it.text(0)}' khong noi ly do")
+
+    for i, it in locked:
+        label = it.text(0)
+        data = it.data(0, Qt.UserRole) or {}
+        before = win.workspace.current_subtab()
+
+        tree.setCurrentItem(it)
+        app.processEvents()
+        if win.workspace.current_subtab() != before:
+            fails.append(f"bam duoc vao '{label}' du dang khoa")
+
+        # the route a greyed row does not guard: a jump from code
+        win._goto(data.get("page", 0), data.get("sub"))
+        app.processEvents()
+        landed = win.workspace.current_subtab()
+        if landed == data.get("sub"):
+            fails.append(f"_goto mo duoc '{label}' trong khi cong dang dong")
+        print(f"  '{label}': bam -> {before}, _goto -> {landed} "
+              f"(tab hien = {win.workspace.tabs.isTabVisible(data.get('sub'))})")
+
+    # controls that would act on a project must be off too
+    for name, widget in (("+ chat moi", win.nav_new_chat),
+                         ("chon project", win.nav_project_btn)):
+        if widget.isEnabled():
+            fails.append(f"'{name}' van bam duoc khi chua co project")
+    print(f"+ chat moi bat={win.nav_new_chat.isEnabled()} "
+          f"tooltip={win.nav_new_chat.toolTip()!r}")
+
+    print()
+    for f in fails:
+        print("FAIL  " + f)
+    print("PASS  cong project van giu, ca khi bam lan khi goi tu code" if not fails
+          else f"{len(fails)} problem(s)")
+    sys.stdout.flush()
+    os._exit(1 if fails else 0)
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tools/check_project_screen.py b/tools/check_project_screen.py
new file mode 100644
index 0000000..8d441e1
--- /dev/null
+++ b/tools/check_project_screen.py
@@ -0,0 +1,170 @@
+"""Workspace ▸ Project against its wireframe (section 4).
+
+The drawing: a "Quản lý project" title with + Project mới on its right, a caps
+PROJECT heading over the list, every row carrying "N đoạn chat · M task", and
+the form reading Tên / Mô tả / Instructions / Thư mục làm việc.
+"""
+from __future__ import annotations
+
+import os
+import sys
+
+sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(REPO.parent))
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+os.environ.setdefault("QT_QPA_PLATFORM", "offscreen")
+
+from capture_screens import (  # noqa: E402
+    _apply_theme, _freeze_schedulers, _isolate_home, _load_fonts)
+
+
+def main() -> int:
+    sandbox = _isolate_home()
+    from PySide6.QtCore import QPoint
+    from PySide6.QtWidgets import QApplication, QLabel
+
+    app = QApplication([])
+    _load_fonts()
+    _freeze_schedulers()
+    _apply_theme(app)
+
+    from cowork_local.config import CONFIG_DIR
+    assert str(sandbox) in str(CONFIG_DIR), f"isolation failed: {CONFIG_DIR}"
+
+    from seed_demo_data import seed
+    seed()
+
+    from cowork_local.app import MainWindow
+    from cowork_local.config import AppConfig
+    from cowork_local.i18n import set_language, tr
+    from cowork_local.state import AppContext
+
+    set_language("vi")
+    win = MainWindow(AppContext(AppConfig.load()), user_name="local")
+    win.resize(1400, 900)
+    win.show()
+    app.processEvents()
+    win._goto(win._ROW_WORKSPACE, win.workspace._project_tab_idx)
+    app.processEvents()
+
+    w = win.workspace
+    fails = []
+
+    # 1. title, and the create button on its row, to its right
+    print(f"tieu de: {w._header.text()!r}")
+    if w._header.text() != tr("workspace.header"):
+        fails.append("tieu de khong phai workspace.header")
+    h_pos = w._header.mapTo(w, QPoint(0, 0))
+    h_mid = h_pos.y() + w._header.height() // 2
+    b_pos = w._new_btn.mapTo(w, QPoint(0, 0))
+    b_mid = b_pos.y() + w._new_btn.height() // 2
+    aligned = abs(b_mid - h_mid) <= 8
+    after = b_pos.x() >= h_pos.x() + w._header.width()
+    print(f"nut '+ Project mới': tam y={b_mid} (tieu de {h_mid}) thang hang={aligned} "
+          f"| x={b_pos.x()} sau tieu de={after}")
+    if not (aligned and after):
+        fails.append("nut tao project khong nam cung hang, ben phai tieu de")
+
+    # 2. caps heading over the list
+    hdr = w._projects_hdr.text()
+    print(f"tieu de pane trai: {hdr!r}")
+    if not hdr or hdr != hdr.upper():
+        fails.append(f"tieu de pane trai chua viet hoa: {hdr!r}")
+
+    # 3. every row says how much is in the project
+    lst = w.project_list
+    if not lst.count():
+        fails.append("khong co project nao de kiem")
+    shown = 0
+    for i in range(lst.count()):
+        row = lst.itemWidget(lst.item(i))
+        labels = [l.text() for l in row.findChildren(QLabel)] if row else []
+        if len(labels) < 2:
+            fails.append(f"hang {i} khong co dong dem chat/task")
+            continue
+        shown += 1
+        if i < 2:
+            print(f"  hang {i}: {labels[0]!r} / {labels[1]!r}")
+        # the sub-line must be the counts string, not the name repeated
+        if labels[1] == labels[0] or not any(ch.isdigit() for ch in labels[1]):
+            fails.append(f"hang {i}: dong phu khong phai so dem: {labels[1]!r}")
+    print(f"so hang co dong dem: {shown}/{lst.count()}")
+
+    # 4. the form reads as the drawing labels it
+    want = [tr("workspace.name"), tr("workspace.description"),
+            tr("workspace.instructions"), tr("workspace.folder_label")]
+    seen = [l.text() for l in w.findChildren(QLabel) if l.isVisible() and l.text()]
+    for label in want:
+        if label not in seen:
+            fails.append(f"thieu nhan {label!r}")
+    print(f"nhan form: {want}")
+
+    # 5. the drawing heads a populated screen with the title alone; the
+    #    explanation belongs to an empty one.
+    print(f"hint hien voi {lst.count()} project: {w._hint.isVisible()}")
+    if lst.count() and w._hint.isVisible():
+        fails.append("doan giai thich van hien du da co project")
+
+    # 6. the path is a field in the drawing, not caption text
+    from PySide6.QtWidgets import QLineEdit
+    is_field = isinstance(w.folder_lbl, QLineEdit) and w.folder_lbl.isReadOnly()
+    print(f"o thu muc: {type(w.folder_lbl).__name__} (o nhap chi doc={is_field})")
+    if not is_field:
+        fails.append("duong dan thu muc khong phai o nhap chi doc")
+
+    # 7. Lưu project floats at the foot of the panel, not right under the form
+    save_y = w._save_btn.mapTo(w, QPoint(0, 0)).y()
+    folder_y = w.folder_lbl.mapTo(w, QPoint(0, 0)).y()
+    print(f"nut Luu y={save_y}, o thu muc y={folder_y}, cach {save_y - folder_y}px")
+    if save_y - folder_y < 80:
+        fails.append("nut Luu khong bi day xuong day panel")
+
+    # 8. the rail's picker must name the projects. It reads project_choices(),
+    #    which used to read item.text() — and when rows became widgets the item
+    #    text went empty, so every entry showed as a bare folder glyph. Creating
+    #    a project is when a user notices, so create one here.
+    before = [n for n, _pid in w.project_choices()]
+    w._create()
+    app.processEvents()
+    choices = w.project_choices()
+    picker = [win.nav_project.itemText(i) for i in range(win.nav_project.count())]
+    print(f"project_choices: {[n for n, _p in choices][:4]}")
+    print(f"picker hien thi: {picker[:4]}")
+    if any(not name.strip() for name, _pid in choices):
+        fails.append("project_choices tra ve ten rong")
+    if len(choices) <= len(before):
+        fails.append("tao project moi khong vao danh sach")
+    for name, _pid in choices:
+        if not any(name in text for text in picker):
+            fails.append(f"picker khong hien ten {name!r}")
+            break
+
+    # 9. the title row sits above the sub-tabs, so what is on it must follow
+    #    the title — + Project mới turned up in the corner of every other one.
+    for idx, name in ((w._cowork_tab_idx, "Cowork"), (w._co4e_tab_idx, "Co4E"),
+                      (w._folder_tab_idx, "Thu muc"),
+                      (w._graphrag_tab_idx, "GraphRAG")):
+        if idx < 0:
+            continue
+        win._goto(win._ROW_WORKSPACE, idx)
+        app.processEvents()
+        if w._new_btn.isVisible():
+            fails.append(f"nut '+ Project moi' hien ca o man {name}")
+    win._goto(win._ROW_WORKSPACE, w._project_tab_idx)
+    app.processEvents()
+    print(f"nut tao chi hien o Project: {not any('Project moi' in f for f in fails)}")
+
+    print()
+    for f in fails:
+        print("FAIL  " + f)
+    print("PASS  man Project khop ban ve" if not fails else f"{len(fails)} problem(s)")
+    sys.stdout.flush()
+    os._exit(1 if fails else 0)
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tools/check_rail_align.py b/tools/check_rail_align.py
new file mode 100644
index 0000000..aaee47f
--- /dev/null
+++ b/tools/check_rail_align.py
@@ -0,0 +1,268 @@
+"""Rail icons must sit on one vertical line, and stay there when it collapses.
+
+Two bugs this catches:
+  · "Cài đặt" sat 42px right of "Dashboard"/"Giám sát" — its QSS margin pushed
+    the button in while the tree rows above start at the rail edge.
+  · Collapsing re-placed the icon of every label-less button, sliding ＋ to the
+    middle of the 54px rail.
+
+Runs with the app's real stylesheet loaded. Without it the window has no
+padding, margins or borders and neither bug is visible — see _apply_theme.
+"""
+from __future__ import annotations
+
+import os
+import sys
+
+sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(REPO.parent))
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+os.environ.setdefault("QT_QPA_PLATFORM", "offscreen")
+
+from capture_screens import (  # noqa: E402
+    _apply_theme, _freeze_schedulers, _isolate_home, _load_fonts)
+
+TOL = 2   # px; anti-aliasing on an icon edge
+
+
+def main() -> int:
+    sandbox = _isolate_home()
+    from PySide6.QtCore import QPoint
+    from PySide6.QtWidgets import QApplication
+
+    app = QApplication([])
+    _load_fonts()
+    _freeze_schedulers()
+    theme_name = _apply_theme(app)
+
+    from cowork_local.config import CONFIG_DIR
+    assert str(sandbox) in str(CONFIG_DIR), f"isolation failed: {CONFIG_DIR}"
+
+    from seed_demo_data import seed
+    seed()
+
+    from cowork_local.app import MainWindow
+    from cowork_local.config import AppConfig
+    from cowork_local.i18n import set_language
+    from cowork_local.state import AppContext
+
+    set_language("vi")
+    win = MainWindow(AppContext(AppConfig.load()), user_name="local")
+    win.resize(1400, 900)
+    win.show()
+    app.processEvents()
+    rail = win._nav_wrap
+
+    def ink_x(w):
+        """Leftmost painted pixel of a widget, in rail coordinates."""
+        img = w.grab().toImage()
+        bg = img.pixelColor(w.width() - 3, 2)
+        for x in range(img.width()):
+            for y in range(2, img.height() - 2):
+                c = img.pixelColor(x, y)
+                if (abs(c.red() - bg.red()) + abs(c.green() - bg.green())
+                        + abs(c.blue() - bg.blue())) > 60:
+                    return w.mapTo(rail, QPoint(x, 0)).x()
+        return None
+
+    def tree_text_x(tree):
+        from PySide6.QtWidgets import QStyle, QStyleOptionViewItem
+        index = tree.indexFromItem(tree.topLevelItem(0), 0)
+        opt = QStyleOptionViewItem()
+        tree.initViewItemOption(opt)
+        opt.rect = tree.visualRect(index)
+        tree.itemDelegate().initStyleOption(opt, index)
+        txt = tree.style().subElementRect(QStyle.SE_ItemViewItemText, opt, tree)
+        return tree.mapTo(rail, QPoint(txt.left(), 0)).x()
+
+    def btn_text_x(w):
+        """Left edge of the label: first ink past the icon's gap."""
+        # Settings lays its own row out now, so read the label widget directly
+        # rather than hunting for a gap in the painted pixels.
+        lbl = getattr(win, "_nav_settings_text", None)
+        if w is getattr(win, "_nav_settings_btn", None) and lbl is not None:
+            return lbl.mapTo(rail, QPoint(0, 0)).x() if lbl.isVisible() else None
+        if not w.text():
+            return None
+        img = w.grab().toImage()
+        bg = img.pixelColor(w.width() - 3, 2)
+        ink = []
+        for x in range(img.width()):
+            for y in range(2, img.height() - 2):
+                c = img.pixelColor(x, y)
+                if (abs(c.red() - bg.red()) + abs(c.green() - bg.green())
+                        + abs(c.blue() - bg.blue())) > 60:
+                    ink.append(x)
+                    break
+        if not ink:
+            return None
+        for a, b in zip(ink, ink[1:]):        # first gap = icon/label spacing
+            if b - a > 2:
+                return w.mapTo(rail, QPoint(b, 0)).x()
+        return None
+
+    def tree_icon_x(tree):
+        from PySide6.QtWidgets import QStyle, QStyleOptionViewItem
+        index = tree.indexFromItem(tree.topLevelItem(0), 0)
+        opt = QStyleOptionViewItem()
+        tree.initViewItemOption(opt)
+        opt.rect = tree.visualRect(index)
+        tree.itemDelegate().initStyleOption(opt, index)
+        deco = tree.style().subElementRect(
+            QStyle.SE_ItemViewItemDecoration, opt, tree)
+        return tree.mapTo(rail, QPoint(deco.left(), 0)).x()
+
+    def snapshot():
+        app.processEvents()
+        out = {"nav rows": tree_icon_x(win.nav),
+               "bottom rows": tree_icon_x(win.nav_bottom),
+               "bottom rows text": tree_text_x(win.nav_bottom)}
+        for label, attr in (("MENU", "_nav_toggle_btn"),
+                            ("new chat", "nav_new_chat"),
+                            ("settings", "_nav_settings_btn")):
+            w = getattr(win, attr, None)
+            if w is not None and w.isVisible():
+                out[label] = ink_x(w)
+                if label == "settings":
+                    out["settings text"] = btn_text_x(w)
+        return out
+
+    fails = []
+    for theme_name in ("dark", "light"):
+        _apply_theme(app, theme_name)
+        app.processEvents()
+        if win._nav_collapsed:
+            win._toggle_nav()
+        opened = snapshot()
+        win._toggle_nav()
+        app.processEvents()
+        closed = snapshot()
+        win._toggle_nav()
+        app.processEvents()
+        fails += compare(theme_name, rail, opened, closed)
+        fails += column_widths_do_not_move_icons(win, app, theme_name)
+        fails += rows_stay_under_the_header(win, app, theme_name)
+
+    print()
+    for f in fails:
+        print(f"FAIL  {f}")
+    print("PASS  every rail icon holds its line" if not fails
+          else f"{len(fails)} problem(s)")
+    sys.stdout.flush()
+    os._exit(1 if fails else 0)
+
+
+def rows_stay_under_the_header(win, app, theme_name):
+    """The destinations start just below the ＋ button in both states.
+
+    Collapsing hides RECENTS, the one item in the scroll body with a stretch
+    factor. With nothing left to expand, a box layout centres what remains, and
+    the whole group slid ~300px down the rail.
+    """
+    from PySide6.QtCore import QPoint
+
+    rail = win._nav_wrap
+    gaps = {}
+    for state in ("open", "collapsed"):
+        if (state == "collapsed") != win._nav_collapsed:
+            win._toggle_nav()
+        app.processEvents()
+        btn = win.nav_new_chat
+        below = btn.mapTo(rail, QPoint(0, btn.height())).y()
+        top = win.nav.mapTo(rail, QPoint(0, 0)).y() +             win.nav.visualItemRect(win.nav.topLevelItem(0)).top()
+        gaps[state] = top - below
+    if win._nav_collapsed:
+        win._toggle_nav()
+        app.processEvents()
+    print(f"  gap under ＋: open={gaps['open']}px collapsed={gaps['collapsed']}px")
+    if abs(gaps["collapsed"] - gaps["open"]) > 4:
+        return [f"{theme_name}: the destinations sit {gaps['collapsed']}px below "
+                f"the ＋ button when collapsed but {gaps['open']}px when open"]
+    return []
+
+
+def column_widths_do_not_move_icons(win, app, theme_name):
+    """The icon must not care how wide the column is.
+
+    On the machine that reported this the column matched the rail and the icons
+    sat in the middle; in a test render the column stayed wider than the view
+    and the same code drew them at the left. So sweep the width and require the
+    icon to hold still.
+    """
+    from PySide6.QtWidgets import QStyle, QStyleOptionViewItem
+
+    if not win._nav_collapsed:
+        win._toggle_nav()
+        app.processEvents()
+    fails, seen = [], {}
+    # The invariant that matters. A centred decoration is the only way Qt can
+    # put a label-less row's icon anywhere but the left edge, and how far it
+    # travels depends on the box the column hands it — which is why this
+    # reproduces on one machine and not another. Require the instruction
+    # itself, not just the pixel it happens to produce here.
+    from PySide6.QtCore import Qt as _Qt
+    for tree_name in ("nav", "nav_bottom"):
+        tree = getattr(win, tree_name)
+        index = tree.indexFromItem(tree.topLevelItem(0), 0)
+        opt = QStyleOptionViewItem()
+        tree.initViewItemOption(opt)
+        tree.itemDelegate().initStyleOption(opt, index)
+        align = int(opt.decorationAlignment)
+        if align & int(_Qt.AlignHCenter) or not align & int(_Qt.AlignLeft):
+            fails.append(f"{theme_name} {tree_name}: decorationAlignment={align}"
+                         f" — icon is free to drift off the left edge")
+    for tree_name in ("nav", "nav_bottom"):
+        tree = getattr(win, tree_name)
+        keep = tree.columnWidth(0)
+        for width in (tree.viewport().width(), 70, 100, 140):
+            tree.setColumnWidth(0, width)
+            app.processEvents()
+            index = tree.indexFromItem(tree.topLevelItem(0), 0)
+            opt = QStyleOptionViewItem()
+            tree.initViewItemOption(opt)
+            opt.rect = tree.visualRect(index)
+            tree.itemDelegate().initStyleOption(opt, index)
+            x = tree.style().subElementRect(
+                QStyle.SE_ItemViewItemDecoration, opt, tree).left()
+            seen.setdefault(tree_name, []).append((width, x))
+        tree.setColumnWidth(0, keep)
+        app.processEvents()
+        xs = {x for _w, x in seen[tree_name]}
+        if len(xs) > 1:
+            fails.append(f"{theme_name} {tree_name}: icon x changes with the "
+                         f"column width — {seen[tree_name]}")
+    print(f"  column sweep: " + "  ".join(
+        f"{n}={[x for _w, x in v]}" for n, v in seen.items()))
+    win._toggle_nav()
+    app.processEvents()
+    return fails
+
+
+def compare(theme_name, rail, opened, closed):
+    print()
+    print(f"theme={theme_name}")
+    print(f"{'element':<12}{'open':>7}{'collapsed':>11}{'drift':>8}")
+    fails = []
+    for key in opened:
+        a, b = opened[key], closed.get(key)
+        drift = "-" if a is None or b is None else f"{b - a:+d}"
+        print(f"{key:<12}{str(a):>7}{str(b):>11}{drift:>8}")
+        if a is not None and b is not None and abs(b - a) > TOL:
+            fails.append(f"{key}: icon moves {b - a:+d}px when the rail collapses")
+
+    # Settings is a button but reads as one more row in the bottom list, so
+    # both its icon and its label have to start where theirs do.
+    for state, snap in (("open", opened), ("collapsed", closed)):
+        for what in ("", " text"):
+            ref, got = snap.get("bottom rows" + what), snap.get("settings" + what)
+            if ref is not None and got is not None and abs(got - ref) > TOL:
+                fails.append(f"{theme_name} {state}: settings{what} x={got} but "
+                             f"the rows above it start at x={ref}")
+    return fails
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tools/check_rail_resize.py b/tools/check_rail_resize.py
new file mode 100644
index 0000000..5d616e4
--- /dev/null
+++ b/tools/check_rail_resize.py
@@ -0,0 +1,128 @@
+"""The splitter handle beside the rail has to actually move the rail.
+
+setFixedWidth left it drawn but inert: it looked draggable and did nothing.
+Also checks that a width the user drags to survives a collapse/expand, and
+that collapsing still pins the rail at 54px.
+"""
+from __future__ import annotations
+
+import os
+import sys
+
+sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(REPO.parent))
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+os.environ.setdefault("QT_QPA_PLATFORM", "offscreen")
+
+from capture_screens import (  # noqa: E402
+    _apply_theme, _freeze_schedulers, _isolate_home, _load_fonts)
+
+
+def main() -> int:
+    sandbox = _isolate_home()
+    from PySide6.QtWidgets import QApplication
+
+    app = QApplication([])
+    _load_fonts()
+    _freeze_schedulers()
+    _apply_theme(app)
+
+    from cowork_local.config import CONFIG_DIR
+    assert str(sandbox) in str(CONFIG_DIR), f"isolation failed: {CONFIG_DIR}"
+
+    from seed_demo_data import seed
+    seed()
+
+    from cowork_local.app import (
+        _NAV_COLLAPSED_WIDTH, _NAV_MIN_WIDTH, MainWindow)
+    from cowork_local.config import AppConfig
+    from cowork_local.i18n import set_language
+    from cowork_local.state import AppContext
+
+    set_language("vi")
+    win = MainWindow(AppContext(AppConfig.load()), user_name="local")
+    win.resize(1400, 900)
+    win.show()
+    app.processEvents()
+
+    fails = []
+    rail, split = win._nav_wrap, win.split
+
+    def drag_to(px):
+        """What the splitter does when the handle is dragged."""
+        total = sum(split.sizes())
+        split.setSizes([px, max(1, total - px)])
+        app.processEvents()
+        win._on_split_moved(px, 1)
+        app.processEvents()
+        return rail.width()
+
+    start = rail.width()
+    wide = drag_to(300)
+    print(f"keo rong : {start} -> {wide}px")
+    if wide <= start:
+        fails.append(f"keo tay nam ra 300px ma rail van {wide}px")
+
+    narrow = drag_to(_NAV_MIN_WIDTH)
+    print(f"keo hep  : {wide} -> {narrow}px")
+    if narrow >= wide:
+        fails.append(f"keo hep lai khong an: {narrow}px")
+
+    # The ceiling is a share of the window now, so ask the window for it.
+    ceiling = win._nav_max_width()
+    over = drag_to(ceiling + 200)
+    print(f"keo qua max: {over}px (tran {ceiling} = {ceiling * 100 // win.width()}% cua so)")
+    if over > ceiling:
+        fails.append(f"rail vuot tran: {over} > {ceiling}")
+
+    under = drag_to(20)
+    print(f"keo duoi min: {under}px (san {_NAV_MIN_WIDTH})")
+    if under < _NAV_MIN_WIDTH:
+        fails.append(f"rail thap hon san: {under} < {_NAV_MIN_WIDTH}")
+
+    # a dragged width has to come back after a fold
+    chosen = drag_to(min(280, win._nav_max_width()))
+    win._toggle_nav()
+    app.processEvents()
+    folded = rail.width()
+    print(f"thu gon  : {folded}px")
+    if folded != _NAV_COLLAPSED_WIDTH:
+        fails.append(f"thu gon phai la {_NAV_COLLAPSED_WIDTH}px, dang {folded}px")
+    win._toggle_nav()
+    app.processEvents()
+    back = rail.width()
+    print(f"mo lai   : {back}px (da chon {chosen}px)")
+    if abs(back - chosen) > 4:
+        fails.append(f"mo lai quen be rong da keo: {back} thay vi {chosen}")
+
+    # The ceiling is a share, so it has to move with the window — it was read
+    # once at construction and stuck at 162px on every monitor.
+    seen = {}
+    for w in (1280, 1600, 1936):
+        win.resize(w, 900)
+        app.processEvents()
+        split.setSizes([2000, 1])       # drag the handle as far right as it goes
+        app.processEvents()
+        seen[w] = (rail.width(), win._nav_max_width())
+        print(f"cua so {w}: keo het co -> {seen[w][0]}px (tran {seen[w][1]}px)")
+    for w, (got, ceiling) in seen.items():
+        if abs(got - ceiling) > 4:
+            fails.append(f"cua so {w}: keo het chi duoc {got}px, tran la {ceiling}px")
+    if len({c for _g, c in seen.values()}) == 1:
+        fails.append("tran khong doi theo be rong cua so — dang la px co dinh")
+
+    print()
+    for f in fails:
+        print("FAIL  " + f)
+    print("PASS  tay nam keo duoc, nho be rong qua lan gap" if not fails
+          else f"{len(fails)} problem(s)")
+    sys.stdout.flush()
+    os._exit(1 if fails else 0)
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
diff --git a/tools/check_responsive.py b/tools/check_responsive.py
new file mode 100644
index 0000000..de41bb6
--- /dev/null
+++ b/tools/check_responsive.py
@@ -0,0 +1,119 @@
+"""Measure what actually breaks on a small screen, screen by screen.
+
+A pane is "clipped" when the width it is given is smaller than the width it says
+it needs (minimumSizeHint): Qt then cuts content off instead of shrinking it,
+which is what shows up as half-drawn buttons and cut-off labels.
+
+Reports per destination, at a few window sizes, and lists the widest offenders
+so a fix can be aimed at the right widget instead of guessed at.
+
+Run:  python tools/check_responsive.py [width height ...]
+"""
+from __future__ import annotations
+
+import os
+import sys
+
+sys.stdout.reconfigure(encoding="utf-8", errors="replace")
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+sys.path.insert(0, str(REPO.parent))
+sys.path.insert(0, str(Path(__file__).resolve().parent))
+os.environ.setdefault("QT_QPA_PLATFORM", "offscreen")
+
+from capture_screens import _freeze_schedulers, _isolate_home, _load_fonts  # noqa: E402
+
+SIZES = [(1920, 1080), (1366, 768), (1280, 720)]
+
+
+def panes(widget):
+    """Direct children worth measuring: splitter panes and page-level boxes."""
+    from PySide6.QtWidgets import QSplitter
+    out = []
+    for sp in widget.findChildren(QSplitter):
+        for i in range(sp.count()):
+            w = sp.widget(i)
+            if w is not None and not w.isHidden():
+                out.append((f"{sp.objectName() or 'splitter'}[{i}] {type(w).__name__}", w))
+    return out
+
+
+def main(argv) -> int:
+    sizes = SIZES
+    if len(argv) >= 2:
+        sizes = [(int(argv[i]), int(argv[i + 1])) for i in range(0, len(argv) - 1, 2)]
+
+    sandbox = _isolate_home()
+    from PySide6.QtWidgets import QApplication
+
+    app = QApplication([])
+    _load_fonts()
+    _freeze_schedulers()
+
+    from cowork_local.config import AppConfig, CONFIG_DIR
+    assert str(sandbox) in str(CONFIG_DIR), f"isolation failed: {CONFIG_DIR}"
+
+    from seed_demo_data import seed
+    seed()
+
+    from cowork_local.app import MainWindow
+    from cowork_local.i18n import set_language
+    from cowork_local.state import AppContext
+    from cowork_local.theme import set_active_theme, stylesheet
+
+    set_language("vi")
+    cfg = AppConfig.load()
+    set_active_theme(cfg.theme)
+    app.setStyleSheet(stylesheet(cfg.theme))
+    win = MainWindow(AppContext(cfg), user_name="local")
+    win.show()
+    for _ in range(6):
+        app.processEvents()
+
+    dests = [("Project", win._ROW_WORKSPACE, win.workspace._project_tab_idx),
+             ("Cowork", win._ROW_WORKSPACE, win.workspace._cowork_tab_idx),
+             ("Co4E", win._ROW_WORKSPACE, win.workspace._co4e_tab_idx),
+             ("Folder", win._ROW_WORKSPACE, win.workspace._folder_tab_idx),
+             ("GraphRAG", win._ROW_WORKSPACE, win.workspace._graphrag_tab_idx),
+             ("Schedule", win._ROW_SCHEDULE, None),
+             ("Dashboard", win._ROW_DASHBOARD, None),
+             ("Monitoring", win._ROW_MONITORING, None)]
+
+    print(f"cua so: minimumSizeHint = {win.minimumSizeHint().width()}"
+          f"x{win.minimumSizeHint().height()}px")
+    print()
+    worst: dict[str, int] = {}
+    for w, h in sizes:
+        win.resize(w, h)
+        for _ in range(4):
+            app.processEvents()
+        print(f"=== {w}x{h} ===")
+        for name, page, sub in dests:
+            win._goto(page, sub)
+            for _ in range(4):
+                app.processEvents()
+            widget = win._page_widgets[page]
+            need = widget.minimumSizeHint().width()
+            have = widget.width()
+            tight = [(n, p.minimumSizeHint().width(), p.width())
+                     for n, p in panes(widget)
+                     if p.minimumSizeHint().width() > p.width() + 1]
+            flag = "" if need <= have else f"  <-- THIEU {need - have}px"
+            print(f"   {name:11} can {need:5}px · duoc {have:5}px{flag}")
+            for n, nd, hv in tight:
+                print(f"        · {n:34} can {nd:4} duoc {hv:4}")
+                worst[f"{name}/{n}"] = max(worst.get(f"{name}/{n}", 0), nd - hv)
+        print()
+
+    if worst:
+        print("BO BO NHIEU NHAT:")
+        for k, v in sorted(worst.items(), key=lambda kv: -kv[1])[:12]:
+            print(f"   {v:5}px  {k}")
+    else:
+        print("KET QUA: khong pane nao bi bo o cac co da thu")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main(sys.argv[1:]))
diff --git a/tools/extract_controls.py b/tools/extract_controls.py
new file mode 100644
index 0000000..c48d26d
--- /dev/null
+++ b/tools/extract_controls.py
@@ -0,0 +1,137 @@
+"""Extract every interactive control from the UI source, mechanically.
+
+Reading the files by hand and listing what I notice is exactly how functionality
+gets dropped from a redesign. This walks the AST instead, so the inventory is
+exhaustive by construction: if a widget is constructed in the file, it appears.
+
+For each control it reports the variable it is bound to, its widget type, the
+label expression (usually a ``tr("...")`` key), the signal handlers wired to it,
+and the source line — enough to check "did the new design keep this?".
+
+Run:  python tools/extract_controls.py [ui/file.py ...]
+"""
+from __future__ import annotations
+
+import ast
+import io
+import json
+import sys
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+UI = REPO / "ui"
+
+# Widget types that represent something the user can click, type in or toggle.
+WIDGETS = {
+    "QPushButton": "nút", "QToolButton": "nút icon", "QComboBox": "droplist",
+    "QCheckBox": "ô tick", "QRadioButton": "radio", "QLineEdit": "ô nhập",
+    "QPlainTextEdit": "ô nhập nhiều dòng", "QTextEdit": "ô nhập nhiều dòng",
+    "QSpinBox": "ô số", "QDoubleSpinBox": "ô số", "QDateTimeEdit": "ô ngày giờ",
+    "QDateEdit": "ô ngày", "QTimeEdit": "ô giờ", "QSlider": "thanh trượt",
+    "QListWidget": "danh sách", "QTreeWidget": "cây", "QTableWidget": "bảng",
+    "QTabWidget": "dải tab", "QTabBar": "dải tab", "QDialogButtonBox": "nút hộp thoại",
+}
+# Signals worth recording — these are the "it does something" wires.
+SIGNALS = {
+    "clicked", "toggled", "currentIndexChanged", "currentTextChanged",
+    "textChanged", "returnPressed", "valueChanged", "itemClicked",
+    "itemDoubleClicked", "currentItemChanged", "currentChanged",
+    "customContextMenuRequested", "tabCloseRequested", "linkActivated",
+    "stateChanged", "activated", "triggered", "editingFinished",
+}
+
+
+def _txt(node) -> str:
+    """Best-effort source text for a label expression."""
+    try:
+        return ast.unparse(node)
+    except Exception:                                          # noqa: BLE001
+        return "?"
+
+
+class Visitor(ast.NodeVisitor):
+    def __init__(self, path: Path):
+        self.path = path
+        self.controls: dict[str, dict] = {}     # var name -> record
+        self.menu_actions: list[dict] = []
+
+    # ---- self.btn = QPushButton(...) / btn = QComboBox() -------------------
+    def visit_Assign(self, node: ast.Assign) -> None:
+        if isinstance(node.value, ast.Call):
+            fn = node.value.func
+            name = fn.id if isinstance(fn, ast.Name) else getattr(fn, "attr", "")
+            if name in WIDGETS:
+                for tgt in node.targets:
+                    var = _txt(tgt)
+                    args = [_txt(a) for a in node.value.args]
+                    self.controls.setdefault(var, {
+                        "var": var, "type": name, "kind": WIDGETS[name],
+                        "label": args[0] if args else "",
+                        "line": node.lineno, "signals": [], "object_name": "",
+                    })
+        self.generic_visit(node)
+
+    def visit_Call(self, node: ast.Call) -> None:
+        fn = node.func
+        # ---- x.clicked.connect(handler) ----------------------------------
+        if isinstance(fn, ast.Attribute) and fn.attr == "connect":
+            sig = fn.value
+            if isinstance(sig, ast.Attribute) and sig.attr in SIGNALS:
+                var = _txt(sig.value)
+                rec = self.controls.get(var)
+                if rec is not None and node.args:
+                    rec["signals"].append(f"{sig.attr} → {_txt(node.args[0])}")
+        # ---- x.setText(tr("...")) / setObjectName / setToolTip -----------
+        if isinstance(fn, ast.Attribute) and node.args:
+            var = _txt(fn.value)
+            rec = self.controls.get(var)
+            if rec is not None:
+                if fn.attr in ("setText", "setPlaceholderText") and not rec["label"]:
+                    rec["label"] = _txt(node.args[0])
+                elif fn.attr == "setObjectName":
+                    rec["object_name"] = _txt(node.args[0]).strip("'\"")
+                elif fn.attr == "setToolTip" and not rec["label"]:
+                    rec["label"] = _txt(node.args[0])
+        # ---- menu.addAction("Xoá") — context menus are real features -----
+        if isinstance(fn, ast.Attribute) and fn.attr == "addAction" and node.args:
+            self.menu_actions.append({
+                "menu": _txt(fn.value), "label": _txt(node.args[0]),
+                "line": node.lineno,
+            })
+        self.generic_visit(node)
+
+
+def scan(path: Path) -> dict:
+    tree = ast.parse(io.open(path, encoding="utf-8").read(), filename=str(path))
+    v = Visitor(path)
+    v.visit(tree)
+    # Drop pure containers with no wiring and no label — they are layout, not
+    # controls the user acts on directly.
+    controls = [c for c in v.controls.values()
+                if c["signals"] or c["label"] or c["object_name"]]
+    controls.sort(key=lambda c: c["line"])
+    return {"file": str(path.relative_to(REPO)),
+            "controls": controls, "menu_actions": v.menu_actions}
+
+
+def main(argv: list[str]) -> int:
+    targets = [Path(a) for a in argv] or sorted(UI.glob("*.py"))
+    out = []
+    for t in targets:
+        if t.name == "__init__.py":
+            continue
+        p = t if t.is_absolute() else (REPO / t if (REPO / t).exists() else t)
+        try:
+            out.append(scan(p))
+        except SyntaxError as exc:                             # noqa: PERF203
+            print(f"  SKIP {p.name}: {exc}", file=sys.stderr)
+    dest = REPO / "docs" / "screens" / "controls.json"
+    dest.write_text(json.dumps(out, indent=1, ensure_ascii=False), encoding="utf-8")
+    n_ctl = sum(len(f["controls"]) for f in out)
+    n_act = sum(len(f["menu_actions"]) for f in out)
+    print(f"{len(out)} file · {n_ctl} control · {n_act} mục menu chuột phải → {dest}")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main(sys.argv[1:]))
diff --git a/tools/extract_handwritten.py b/tools/extract_handwritten.py
new file mode 100644
index 0000000..0d103c4
--- /dev/null
+++ b/tools/extract_handwritten.py
@@ -0,0 +1,157 @@
+"""Lift the hand-written audit sections out of 10-18.ui-audit.html.
+
+That file was edited by hand: eight sections carry richer wireframes, prose and
+interactive tables than the generator produces, plus the CSS and scripts they
+need. Keeping two HTML files around means they drift, so this pulls the
+hand-written parts into ``tools/audit_handwritten.py`` — a data module the
+builder merges back in, making ``docs/ui-audit.html`` the single output again.
+
+Two things are tokenised out before storing, so they stay generated rather than
+frozen at extraction time:
+  {{SHOT}}      the screenshot block (keeps ~8 MB of base64 out of the module)
+  {{CONTROLS}}  the AST-derived control inventory (must track controls.json)
+
+Workflow when you hand-edit one of those sections directly in the page:
+    1. edit docs/ui-audit.html
+    2. python tools/extract_handwritten.py     (reads it back into the module)
+    3. python tools/build_audit_page.py        (regenerates, edits preserved)
+Pass another filename to import sections from a different copy.
+"""
+from __future__ import annotations
+
+import contextlib
+import io
+import re
+import sys
+import tempfile
+from pathlib import Path
+
+REPO = Path(__file__).resolve().parent.parent
+DOCS = REPO / "docs"
+OUT = REPO / "tools" / "audit_handwritten.py"
+
+# Hand-written sections are DETECTED, not listed: every section whose text
+# differs from what the generator alone would emit is stored.
+#
+# There used to be a fixed list here, and it cost a section — "Monitoring ▸ Công
+# cụ" was hand-written but missing from the list, so each rebuild quietly put
+# the generated version back. Diffing against the live output cannot work (it
+# already contains the merged result and would find nothing), so the reference
+# is a generator-only render produced in-process, with the merge disabled.
+#
+# These are the ones known so far; anything else detected is added on top.
+KNOWN = [
+    "monitoring-sự-kiện-bảo-mật", "monitoring-lịch-sử-gọi-mcp",
+    "monitoring-nhật-ký-hành-động", "monitoring-trạng-thái-agent",
+    "monitoring-agents-admin", "monitoring-icon", "monitoring-công-cụ",
+    "dialog-settings", "dialog-task-editor",
+]
+
+SECTION = re.compile(r'<section class="sec" id="([^"]+)">(.*?)</section>', re.S)
+BODY = re.compile(r'(<div class="bd">.*)', re.S)
+SHOT = re.compile(r'<div class="shot">.*?</div>', re.S)
+CONTROLS = re.compile(r'<details class="ctl">.*?</details>', re.S)
+STYLE = re.compile(r"<style>(.*?)</style>", re.S)
+SCRIPT = re.compile(r"<script>(.*?)</script>", re.S)
+
+
+def bodies(html: str) -> dict[str, str]:
+    """slug -> the section's <div class="bd"> … </div>, header excluded."""
+    out = {}
+    for m in SECTION.finditer(html):
+        b = BODY.search(m.group(2))
+        if b:
+            out[m.group(1)] = b.group(1).strip()
+    return out
+
+
+def norm(s: str) -> str:
+    return re.sub(r"\s+", " ", re.sub(r"<[^>]+>", " ", s)).strip()
+
+
+def main(argv: list[str]) -> int:
+    src_path = DOCS / (argv[0] if argv else "ui-audit.html")
+    if not src_path.exists():
+        print(f"khong thay {src_path}")
+        return 1
+
+    src = src_path.read_text(encoding="utf-8")
+    # Screenshots are re-embedded by the builder; keep the base64 out of here.
+    hand = bodies(re.sub(r"data:image/png;base64,[A-Za-z0-9+/=]+", "<IMG>", src))
+
+    sys.path.insert(0, str(REPO / "tools"))
+    import build_audit_page as B
+
+    # Render what the generator ALONE would produce, into a temp file, and treat
+    # every section that differs from it as hand-written.
+    with tempfile.TemporaryDirectory() as tmp:
+        keep_out, keep_hand = B.OUT, B.HAND_SECTIONS
+        B.OUT, B.HAND_SECTIONS = Path(tmp) / "gen-only.html", {}
+        try:
+            with contextlib.redirect_stdout(io.StringIO()):
+                B.main()
+            made = bodies(re.sub(r"data:image/png;base64,[A-Za-z0-9+/=]+", "<IMG>",
+                                 B.OUT.read_text(encoding="utf-8")))
+        finally:
+            B.OUT, B.HAND_SECTIONS = keep_out, keep_hand
+
+    detected = sorted(s for s, body in hand.items() if norm(body) != norm(made.get(s, "")))
+    slugs = [s for s in hand if s in set(detected) | set(KNOWN)]
+    new = [s for s in detected if s not in KNOWN]
+    gone = [s for s in KNOWN if s in hand and s not in detected]
+    if new:
+        print(f"phat hien them section viet tay: {new}")
+    if gone:
+        # Not an error: a hand section can be edited back to match the generator.
+        print(f"section trong KNOWN nay giong ban sinh: {gone}")
+
+    stored = {}
+    for slug in slugs:
+        body = hand[slug]
+        body = SHOT.sub("{{SHOT}}", body, count=1)
+        body = CONTROLS.sub("{{CONTROLS}}", body, count=1)
+        stored[slug] = body
+
+    # CSS rules and scripts the hand edits added. Compared against the builder's
+    # OWN constants, not its output — the output already carries the merge.
+
+    extra_css = "\n".join(
+        ln for ln in STYLE.search(src).group(1).splitlines()
+        if ln.strip() and ln not in B.CSS)
+    # Scripts already sitting INSIDE a stored section travel with it — collecting
+    # them again would bind every listener twice (the +/- steppers would then
+    # count by two). Only page-level scripts belong in EXTRA_JS.
+    gen_js = {norm(B.JS)}
+    in_section = "".join(stored.values())
+    extra_js = [j for j in SCRIPT.findall(src)
+                if norm(j) not in gen_js and j not in in_section]
+
+    parts = [
+        '"""Hand-written audit sections, extracted from 10-18.ui-audit.html.\n\n'
+        "GENERATED by tools/extract_handwritten.py — do not edit by hand; edit the\n"
+        "source HTML and re-run it. build_audit_page.py substitutes {{SHOT}} and\n"
+        '{{CONTROLS}} so those stay generated.\n"""\n',
+        "SECTIONS = {",
+    ]
+    for slug, body in stored.items():
+        parts.append(f"    {slug!r}: {body!r},")
+    parts.append("}\n")
+    parts.append(f"EXTRA_CSS = {extra_css!r}\n")
+    parts.append("EXTRA_JS = [")
+    for j in extra_js:
+        parts.append(f"    {j!r},")
+    parts.append("]\n")
+    OUT.write_text("\n".join(parts), encoding="utf-8")
+
+    print(f"section viet tay   : {len(stored)}")
+    for slug, body in stored.items():
+        print(f"   {slug:32} {len(body):>7,} ky tu"
+              f"  shot={'{{SHOT}}' in body}  ctl={'{{CONTROLS}}' in body}")
+    print(f"CSS them           : {len(extra_css.splitlines())} dong")
+    print(f"script them        : {len(extra_js)}")
+    print(f"ghi -> {OUT.relative_to(REPO)}  ({OUT.stat().st_size / 1024:.0f} KB)")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main(sys.argv[1:]))
diff --git a/tools/seed_demo_data.py b/tools/seed_demo_data.py
new file mode 100644
index 0000000..3c68cbb
--- /dev/null
+++ b/tools/seed_demo_data.py
@@ -0,0 +1,352 @@
+"""Populate a CoworkLocal config dir with realistic demo data, so the audit
+screenshots show a working app instead of empty lists.
+
+MUST be imported only AFTER ``USERPROFILE``/``HOME`` have been repointed at a
+sandbox — every store below resolves its path from ``CONFIG_DIR``, which is
+``Path.home()/".cowork_local"`` evaluated at import time. ``seed()`` asserts this.
+
+Where the app exposes a write API we call it (projects, history, tasks, skills,
+workflows, agents). Two stores are written as raw files on purpose:
+
+* **usage** and **audit** — their ``record()`` helpers always stamp
+  ``datetime.now()``, so they cannot backdate. A one-day spike makes a useless
+  chart, so the day files are written directly.
+* **co4e/run_history.json** — the manager only persists from a Qt signal
+  handler; there is no public save.
+"""
+from __future__ import annotations
+
+import json
+import os
+import random
+from datetime import datetime, timedelta
+from pathlib import Path
+
+rnd = random.Random(20260808)      # fixed seed → identical screenshots every run
+
+PROJECTS = [
+    ("Trạm sạc EV — Cổng vận hành",
+     "Cổng nội bộ theo dõi trạm sạc: bản đồ trạng thái, cảnh báo, báo cáo doanh thu.",
+     "Trả lời bằng tiếng Việt. Backend FastAPI + PostgreSQL, frontend React.\n"
+     "Luôn viết test trước khi sửa logic thanh toán."),
+    ("Báo cáo tài chính Q3",
+     "Tự động gom số liệu từ Excel phòng ban, dựng bảng tổng hợp và slide trình bày.",
+     "Đơn vị tiền tệ mặc định VND. Làm tròn tới nghìn đồng.\n"
+     "Mọi con số phải truy được về file nguồn."),
+    ("Cổng tra cứu tài liệu ISO",
+     "Tìm kiếm ngữ nghĩa trên kho tài liệu ISO 9001 của công ty.",
+     "Ưu tiên trích dẫn đúng số hiệu điều khoản.\nKhông suy diễn ngoài tài liệu."),
+]
+
+CONVERSATIONS = [
+    (0, "Dựng API trạng thái trạm sạc", True, [
+        ("user", "Giúp mình dựng endpoint GET /stations/{id}/status trả về trạng thái realtime."),
+        ("assistant", "Mình đã đọc `app/models/station.py` và thấy sẵn bảng `station_heartbeat`.\n\n"
+                      "Đề xuất: endpoint đọc heartbeat mới nhất trong 90 giây, quá hạn thì trả `offline`.\n"
+                      "Mình tạo `app/api/stations.py` và test đi kèm nhé?"),
+        ("user", "Ừ làm đi."),
+        ("assistant", "Đã tạo 2 file:\n- `app/api/stations.py` — router + schema phản hồi\n"
+                      "- `tests/test_stations.py` — 4 ca: online, offline, không tồn tại, heartbeat lỗi\n\n"
+                      "Chạy `pytest tests/test_stations.py` → 4 passed."),
+    ]),
+    (0, "Sửa lỗi tính tiền sai khi phiên sạc bị ngắt", False, [
+        ("user", "Khách báo bị tính dư tiền khi rút sạc đột ngột giữa chừng."),
+        ("assistant", "Mình tìm thấy nguyên nhân ở `billing/session.py:142`: khi phiên kết thúc bất thường, "
+                      "`ended_at` vẫn để `None` nên hàm tính giờ lấy `now()` — tiền chạy tiếp tới lúc job dọn chạy.\n\n"
+                      "Sửa: lấy mốc heartbeat cuối cùng làm `ended_at`. Mình chuẩn bị diff nhé?"),
+    ]),
+    (1, "Gom số liệu doanh thu từ 6 file phòng ban", True, [
+        ("user", "Có 6 file Excel trong thư mục input, gom lại thành 1 bảng tổng hợp giúp mình."),
+        ("assistant", "Đã đọc cả 6 file. Lưu ý: `PB_Marketing.xlsx` để cột “Doanh thu” ở vị trí khác "
+                      "(cột F thay vì D) và có 3 dòng trống ở cuối.\n\n"
+                      "Mình đã chuẩn hoá và xuất `tonghop_q3.xlsx` — 1.284 dòng, tổng 42.7 tỷ VND."),
+    ]),
+    (1, "Dựng slide trình bày kết quả Q3", False, [
+        ("user", "Từ file tổng hợp, làm giúp bộ slide 8 trang."),
+        ("assistant", "Đã tạo `BaoCao_Q3.pptx`: tổng quan → doanh thu theo phòng ban → so sánh Q2 → "
+                      "top 5 tăng trưởng → rủi ro → kế hoạch Q4."),
+    ]),
+    (2, "Đánh chỉ mục kho tài liệu ISO", False, [
+        ("user", "Quét thư mục docs/iso và dựng đồ thị tri thức."),
+        ("assistant", "Đã quét 148 tài liệu, dựng 1.902 node và 3.418 cạnh. "
+                      "Có 12 tài liệu bị trùng số hiệu điều khoản, mình liệt kê ở `trung_lap.md`."),
+    ]),
+    (0, "Rà soát bảo mật trước khi lên production", False, [
+        ("user", "Kiểm tra giúp mình các chỗ có rủi ro bảo mật."),
+        ("assistant", "Tìm thấy 3 điểm cần xử lý:\n1. API key Stripe hard-code ở `config/payment.py:31`\n"
+                      "2. Endpoint `/admin/export` không kiểm tra quyền\n"
+                      "3. CORS đang để `allow_origins=[\"*\"]`"),
+    ]),
+]
+
+TASKS = [
+    # (title, status, priority, ai, enabled, offset_days, last_status)
+    ("Đồng bộ heartbeat trạm sạc mỗi 5 phút", "running", "high", False, True, 0, "success"),
+    ("Gửi báo cáo doanh thu hằng ngày 08:00", "scheduled", "medium", False, True, 1, "success"),
+    ("Quét lại chỉ mục ISO cuối tuần", "scheduled", "low", False, True, 3, "success"),
+    ("Dựng slide tổng kết Q3", "done", "high", True, False, -2, "success"),
+    ("Kiểm tra chứng chỉ TLS sắp hết hạn", "failed", "critical", False, True, -1, "failed"),
+    ("Chờ kế toán duyệt số liệu tháng 7", "waiting_input", "medium", False, False, -3, None),
+    ("Dọn log cũ hơn 90 ngày", "paused", "low", False, False, 7, "success"),
+    ("Xuất danh sách khách hàng B2B", "backlog", "low", True, False, 5, None),
+    ("Rà soát bảo mật trước release", "backlog", "high", False, False, 2, None),
+    ("Sao lưu cơ sở dữ liệu hằng đêm", "done", "critical", False, True, -1, "success"),
+]
+
+SKILLS = [
+    ("Rà soát bảo mật", "Quét mã tìm lộ khoá, thiếu kiểm tra quyền, cấu hình CORS lỏng.",
+     "Khi được gọi, hãy rà soát theo thứ tự:\n1. Bí mật hard-code (API key, mật khẩu, token)\n"
+     "2. Endpoint thiếu kiểm tra xác thực/phân quyền\n3. Cấu hình CORS, CSP, cookie\n"
+     "4. Truy vấn SQL ghép chuỗi\nMỗi phát hiện phải kèm file:dòng và cách sửa cụ thể."),
+    ("Chuẩn hoá bảng Excel", "Gom nhiều file Excel lệch cấu trúc về một bảng thống nhất.",
+     "Đọc từng file, dò vị trí cột theo tiêu đề chứ không theo chỉ số cột.\n"
+     "Bỏ dòng trống ở cuối. Báo rõ file nào lệch cấu trúc và lệch ra sao."),
+    ("Viết test trước", "Sinh test cho hành vi mong muốn trước khi sửa mã.",
+     "Trước khi sửa logic, viết test mô tả hành vi đúng.\n"
+     "Chạy test để xác nhận nó FAIL, rồi mới sửa mã cho nó PASS."),
+    ("Tóm tắt tài liệu ISO", "Tóm tắt điều khoản ISO kèm trích dẫn số hiệu.",
+     "Luôn trích dẫn số hiệu điều khoản. Không suy diễn ngoài văn bản.\n"
+     "Nếu tài liệu mâu thuẫn nhau, nêu rõ cả hai và chỉ ra chỗ mâu thuẫn."),
+    ("Dựng slide từ số liệu", "Chuyển bảng số liệu thành bộ slide trình bày.",
+     "Mỗi slide một thông điệp. Biểu đồ phải có nhãn trục và đơn vị.\n"
+     "Slide cuối luôn là hành động tiếp theo."),
+]
+
+CO4E_AGENTS = [
+    ("Phân tích yêu cầu", "ANALYST", "search",
+     "Đọc mô tả yêu cầu, bóc tách thành danh sách hạng mục rõ ràng, đánh dấu chỗ còn mơ hồ.",
+     ["Rà soát bảo mật"]),
+    ("Thiết kế giải pháp", "ARCHITECT", "flow",
+     "Từ danh sách hạng mục, đề xuất kiến trúc và các bước triển khai, nêu rõ đánh đổi.", []),
+    ("Lập trình viên", "CODER", "code",
+     "Hiện thực theo thiết kế. Viết test trước khi sửa logic nghiệp vụ.", ["Viết test trước"]),
+    ("Kiểm thử", "TESTER", "shield",
+     "Chạy test, đọc log lỗi, báo cáo ca nào hỏng và vì sao.", ["Rà soát bảo mật"]),
+    ("Soạn tài liệu", "WRITER", "book",
+     "Viết tài liệu hướng dẫn sử dụng từ mã nguồn và test.", ["Tóm tắt tài liệu ISO"]),
+]
+
+WORKFLOWS = [
+    ("Quy trình phát triển tính năng",
+     ["Phân tích yêu cầu", "Thiết kế giải pháp", "Lập trình viên", "Kiểm thử", "Soạn tài liệu"]),
+    ("Rà soát bảo mật định kỳ", ["Phân tích yêu cầu", "Kiểm thử"]),
+    ("Dựng báo cáo từ Excel", ["Phân tích yêu cầu", "Lập trình viên", "Soạn tài liệu"]),
+]
+
+AUDIT_EVENTS = [
+    ("tool_call", "read_file", True, "app/models/station.py (2.1 KB)"),
+    ("tool_call", "write_file", True, "app/api/stations.py — tạo mới, 84 dòng"),
+    ("tool_call", "run_command", True, "pytest tests/test_stations.py → 4 passed"),
+    ("tool_call", "fetch_url", True, "https://docs.python.org/3/library/asyncio.html"),
+    ("permission", "run_command", True, "Người dùng duyệt: npm install --save-dev vitest"),
+    ("permission", "write_file", False, "Người dùng từ chối: ghi đè .env"),
+    ("security_block", "path_outside_sandbox", False, "Chặn đọc C:\\Users\\NamPDT\\Documents\\personal.xlsx"),
+    ("security_block", "network_blocked", False, "Chặn kết nối ra 203.0.113.44:8080 (không trong danh sách cho phép)"),
+    ("security_block", "dangerous_command", False, "Chặn lệnh: rm -rf / --no-preserve-root"),
+    ("security_block", "secret_in_output", False, "Phát hiện chuỗi giống API key trong đầu ra, đã che"),
+    ("mcp_call", "filesystem.list_directory", True, "docs/iso → 148 mục"),
+    ("mcp_call", "jira.search_issues", True, "project=EV AND status=Open → 23 issue"),
+    ("mcp_call", "postgres.query", True, "SELECT count(*) FROM station_heartbeat → 1.284.902"),
+    ("mcp_call", "jira.create_issue", False, "401 Unauthorized — API token hết hạn"),
+    ("mcp_call", "filesystem.read_file", True, "docs/iso/9001-2015.pdf (4.2 MB)"),
+]
+
+MODELS = [("ollama", "qwen2.5-coder:7b"), ("ollama", "llama3.1:8b"), ("openai", "gpt-4o-mini")]
+LABELS = ["Dựng API trạng thái trạm sạc", "Sửa lỗi tính tiền sai", "Gom số liệu doanh thu",
+          "Dựng slide trình bày", "Đánh chỉ mục ISO", "Rà soát bảo mật"]
+
+
+def _iso(dt: datetime) -> str:
+    return dt.isoformat(timespec="seconds")
+
+
+def seed(days: int = 45) -> dict:
+    """Fill the (sandboxed) config dir. Returns a per-store count summary."""
+    from cowork_local.config import CONFIG_DIR
+    home = str(Path.home())
+    assert str(CONFIG_DIR).startswith(home), "refusing to seed outside the sandboxed HOME"
+    assert "cowork-capture-" in home or "cowork-seed-" in home, (
+        f"HOME ({home}) does not look like a capture sandbox — refusing to seed")
+
+    from cowork_local.core import admin_agents, co4e, history, projects, skills, tasks
+
+    out: dict[str, int] = {}
+    now = datetime.now().replace(hour=14, minute=32, second=0, microsecond=0)
+
+    # ---- projects ---------------------------------------------------------
+    made = []
+    for name, desc, instr in PROJECTS:
+        p = projects.new_project(name, description=desc, instructions=instr)
+        p.workspace_dir().mkdir(parents=True, exist_ok=True)
+        # a few files so the Folder tab's tree isn't bare
+        for rel in ("README.md", "src/main.py", "src/billing/session.py",
+                    "tests/test_stations.py", "docs/ghi-chu.md"):
+            f = p.workspace_dir() / rel
+            f.parent.mkdir(parents=True, exist_ok=True)
+            if not f.exists():
+                f.write_text(f"# {rel}\n\n(nội dung mẫu cho ảnh chụp)\n", encoding="utf-8")
+        made.append(p)
+    out["projects"] = len(made)
+
+    # ---- conversations ----------------------------------------------------
+    hist_root = CONFIG_DIR / "history"
+    hist_root.mkdir(parents=True, exist_ok=True)
+    n_conv = 0
+    for i, (pi, title, pinned, msgs) in enumerate(CONVERSATIONS):
+        proj = made[pi]
+        created = _iso(now - timedelta(days=i * 2 + 1, hours=i * 3))
+        sid = (now - timedelta(days=i * 2 + 1)).strftime("%Y%m%d-%H%M%S-") + f"{i:03d}"
+        payload = [{"role": r, "content": c} for r, c in msgs]
+        for directory in (hist_root, proj.workspace_dir() / ".cowork_history"):
+            directory.mkdir(parents=True, exist_ok=True)
+            path = history.save_conversation(
+                directory, "cowork", sid, payload, title=title,
+                created=created, project_id=proj.project_id)
+            if pinned:
+                history.set_pinned(path, True)
+            # stagger mtime so the sidebar's newest-first order looks real
+            ts = (now - timedelta(days=i * 2 + 1)).timestamp()
+            os.utime(path, (ts, ts))
+        n_conv += 1
+    out["conversations"] = n_conv
+
+    # ---- scheduled tasks --------------------------------------------------
+    for title, status, prio, ai, enabled, off, last in TASKS:
+        t = tasks.new_task(
+            title=title, status=status, priority=prio, is_ai_generated=ai,
+            project_id=made[0].project_id, provider="ollama", model="qwen2.5-coder:7b",
+            description=f"Tác vụ tự động: {title.lower()}.",
+            schedule={"enabled": enabled,
+                      "run_at": (now + timedelta(days=off)).strftime("%Y-%m-%d %H:%M"),
+                      "repeat_type": "daily" if enabled else "none"},
+            logs={"last_status": last or "", "last_run_id": "run-demo" if last else "",
+                  "last_error": "Chứng chỉ hết hạn 2026-08-06" if last == "failed" else ""},
+        )
+        if last:
+            t["runs"] = [{"run_id": f"r{n}", "status": last,
+                          "finished_at": (now - timedelta(days=n)).strftime("%Y-%m-%d %H:%M"),
+                          "error": "Chứng chỉ hết hạn" if last == "failed" else None}
+                         for n in range(1, 4)]
+        tasks.save_task(t)
+    out["tasks"] = len(TASKS)
+
+    # ---- skills -----------------------------------------------------------
+    for name, desc, instr in SKILLS:
+        skills.save_skill(skills.Skill(name=name, description=desc,
+                                       instructions=instr, enabled=True))
+    out["skills"] = len(SKILLS)
+
+    # ---- Co4E agents ------------------------------------------------------
+    for name, role, icon, instr, sk in CO4E_AGENTS:
+        a = co4e.new_custom_agent(name)
+        a.role, a.icon, a.instructions, a.skills = role, icon, instr, sk
+        a.model = "qwen2.5-coder:7b"
+        co4e.save_custom_agent(a)
+    out["co4e_agents"] = len(CO4E_AGENTS)
+
+    # ---- Co4E workflows ---------------------------------------------------
+    wfs = []
+    for name, steps in WORKFLOWS:
+        wf = co4e.new_workflow(name)
+        prev = None
+        for j, label in enumerate(steps):
+            node = co4e.Node(id=co4e.new_node_id(), x=60.0 + j * 250, y=140.0 + (j % 2) * 120,
+                             data=co4e.Step(label=label, role="AGENT",
+                                            instructions=f"{label}: thực hiện phần việc của mình "
+                                                         f"rồi chuyển kết quả cho bước sau.",
+                                            model="qwen2.5-coder:7b"))
+            wf.nodes.append(node)
+            if prev:
+                wf.edges.append(co4e.Edge(id=co4e.new_edge_id(prev, node.id),
+                                          source=prev, target=node.id))
+            prev = node.id
+        co4e.save_workflow(wf)
+        wfs.append(wf)
+    out["workflows"] = len(wfs)
+
+    # ---- Co4E run history (no public save — written directly) -------------
+    runs = []
+    specs = [("done", 5, 5, 0), ("done", 2, 2, 1), ("error", 3, 5, 2),
+             ("done", 3, 3, 3), ("stopped", 1, 5, 4), ("done", 5, 5, 6)]
+    for k, (status, done, total, ago) in enumerate(specs, 1):
+        wf = wfs[k % len(wfs)]
+        runs.append({
+            "id": f"run{k}", "wf_id": wf.id, "name": wf.name,
+            "total": total, "done": done, "status": status,
+            "plan_mode": False, "manual": False, "created_by": "local",
+            "created_at": (now - timedelta(days=ago, hours=k)).strftime("%Y-%m-%d %H:%M"),
+            "error": "Bước “Kiểm thử” trả về mã lỗi 1" if status == "error" else "",
+            "node_status": {n.id: ("done" if i < done else
+                                   ("error" if status == "error" and i == done else "idle"))
+                            for i, n in enumerate(wf.nodes)},
+            "wf": co4e.workflow_to_dict(wf),
+            "out_dir": str(made[0].workspace_dir()),
+            "project_id": made[0].project_id,
+        })
+    hp = CONFIG_DIR / "co4e" / "run_history.json"
+    hp.parent.mkdir(parents=True, exist_ok=True)
+    hp.write_text(json.dumps({"runs": runs}, ensure_ascii=False, indent=2), encoding="utf-8")
+    out["co4e_runs"] = len(runs)
+
+    # ---- usage day files (record() cannot backdate) -----------------------
+    usage_dir = CONFIG_DIR / "usage"
+    usage_dir.mkdir(parents=True, exist_ok=True)
+    n_usage = 0
+    for d in range(days):
+        day = now - timedelta(days=days - 1 - d)
+        # a workday rhythm: quiet weekends, a gentle upward trend
+        weekend = day.weekday() >= 5
+        turns = rnd.randint(1, 3) if weekend else rnd.randint(4, 11) + d // 12
+        lines = []
+        for _ in range(turns):
+            prov, model = rnd.choice(MODELS)
+            lines.append(json.dumps({
+                "ts": _iso(day.replace(hour=rnd.randint(8, 18), minute=rnd.randint(0, 59))),
+                "source": rnd.choice(["cowork", "cowork", "task", "co4e"]),
+                "label": rnd.choice(LABELS), "provider": prov, "model": model,
+                "in": rnd.randint(1200, 9000), "out": rnd.randint(300, 3200),
+                "cache": rnd.randint(0, 4200), "estimated": False,
+                "account": "local", "machine": "DESKTOP-DEMO",
+            }, ensure_ascii=False))
+            n_usage += 1
+        (usage_dir / f"{day:%Y-%m-%d}.jsonl").write_text("\n".join(lines) + "\n", encoding="utf-8")
+    out["usage_events"] = n_usage
+
+    # ---- audit day files (drives Security / MCP / Action tables) ----------
+    audit_dir = CONFIG_DIR / "audit"
+    audit_dir.mkdir(parents=True, exist_ok=True)
+    n_audit = 0
+    roles = ["cowork", "code", "schedule", "graphrag", "security"]
+    for d in range(14):
+        day = now - timedelta(days=13 - d)
+        lines = []
+        for _ in range(rnd.randint(4, 9)):
+            kind, name, ok, detail = rnd.choice(AUDIT_EVENTS)
+            lines.append(json.dumps({
+                "ts": _iso(day.replace(hour=rnd.randint(8, 19), minute=rnd.randint(0, 59))),
+                "kind": kind, "agent_role": rnd.choice(roles), "name": name,
+                "ok": ok, "detail": detail,
+                "account": "local", "role": "admin", "machine": "DESKTOP-DEMO",
+            }, ensure_ascii=False))
+            n_audit += 1
+        (audit_dir / f"{day:%Y-%m-%d}.jsonl").write_text("\n".join(lines) + "\n", encoding="utf-8")
+    out["audit_events"] = n_audit
+
+    # ---- admin agents -----------------------------------------------------
+    admin_dir = admin_agents.agents_admin_dir("")
+    admin_dir.mkdir(parents=True, exist_ok=True)
+    for name, kind in [("Trợ giúp trong app", "help"), ("Tìm kiếm tài khoản", "search"),
+                       ("Phân tích giám sát", "monitor"), ("Cowork mặc định", "cowork"),
+                       ("Hỏi đáp GraphRAG", "graphrag"), ("Lập lịch thông minh", "schedule"),
+                       ("Kiểm tra lệnh nguy hiểm", "security")]:
+        a = admin_agents.new_agent(name, task_kind=kind, provider="ollama",
+                                   model="qwen2.5-coder:7b", updated_by="local",
+                                   prompt=f"Bạn phụ trách chức năng “{kind}” của ứng dụng.")
+        admin_agents.save_agent(a, admin_dir)
+    out["admin_agents"] = 7
+
+    return out
+
+
+if __name__ == "__main__":
+    raise SystemExit("Import and call seed() from capture_screens.py — it needs the sandboxed HOME.")
diff --git a/ui/accounts_tab.py b/ui/accounts_tab.py
index e5d5122..da4c0c8 100644
--- a/ui/accounts_tab.py
+++ b/ui/accounts_tab.py
@@ -28,7 +28,7 @@ from ..core import usage_tracker as ut
 from ..core.worker import AgentWorker
 from ..i18n import on_language_changed, tr
 from ..state import AppContext
-from .icons import icon
+from .icons import DOT_AMBER, icon
 from .widgets import fmt_tokens
 
 _PERIODS = ("day", "week", "month", "year")
@@ -367,7 +367,7 @@ class AccountsTab(QWidget):
         label = f"{acc.display_name or acc.username} ({acc.username}) — {tr(f'accounts.role.{acc.role}')}"
         item = QTreeWidgetItem([label])
         if is_subadmin:   # subadmin badge → star icon instead of a ★ glyph
-            item.setIcon(0, icon("star", color="#f59e0b"))
+            item.setIcon(0, icon("star", color=DOT_AMBER))
         item.setData(0, Qt.UserRole, ("account", acc.username))
         if acc.email:
             item.setToolTip(0, acc.email)
diff --git a/ui/agents_admin_tab.py b/ui/agents_admin_tab.py
index ef6ab2d..db02b70 100644
--- a/ui/agents_admin_tab.py
+++ b/ui/agents_admin_tab.py
@@ -8,18 +8,22 @@ accounts folder, so every machine pointed at the same share picks changes up
 automatically (OneDrive/network sync) — non-admin machines only ever READ the
 catalog (their pickers in Cowork / Schedule Task list the enabled agents).
 
-The "Check" button probes each agent's effective provider (``check_agent``)
-and shows an operational-status column (🟢 reachable / 🔴 error) separate from
-the Enabled config flag.
+The header's "Kiểm tra tất cả" icon probes each agent's effective provider
+(``check_agent``) and shows the result as the Trạng thái pill (OK / error /
+checking…) — separate from the per-row Kích hoạt switch, which only toggles
+the config flag.
 """
 from __future__ import annotations
 
+from datetime import datetime
 from typing import Dict, List, Optional
 
+from PySide6.QtCore import QSize, Qt
+from PySide6.QtGui import QColor, QFont, QIcon, QPainter, QPixmap
 from PySide6.QtWidgets import (
     QCheckBox, QComboBox, QDialog, QDialogButtonBox, QFormLayout, QHBoxLayout,
-    QLabel, QLineEdit, QMessageBox, QPlainTextEdit, QPushButton, QTableWidget,
-    QTableWidgetItem, QVBoxLayout, QWidget,
+    QHeaderView, QLabel, QLineEdit, QMessageBox, QPlainTextEdit, QPushButton,
+    QTableWidget, QTableWidgetItem, QVBoxLayout, QWidget,
 )
 
 from ..config import PROVIDER_LABELS
@@ -27,10 +31,62 @@ from ..core import admin_agents, preview_ai
 from ..core.worker import AgentWorker
 from ..i18n import on_language_changed, tr
 from ..state import AppContext
-from .icons import icon, dot_icon, DOT_GREEN, DOT_RED, DOT_AMBER, DOT_GREY
+from .icons import icon
+from .widgets import ToggleSwitch, badge_pill_widget
 
 _PROVIDER_DEFAULT = ""   # "" = each machine's own active provider (unchanged default)
 
+# Identity colour (avatar circle) + badge tone per task_kind — same "fixed
+# colour regardless of theme" convention as monitoring_tab.py's per-agent
+# avatars, plus a badge object name (theme.py) for the Vai trò pill. Seven
+# kinds, seven distinct tones — no two kinds share a badge colour.
+_KIND_COLOUR = {
+    "search": "#8A8886", "monitor": "#FFB900", "cowork": "#0078D4",
+    "graphrag": "#8764B8", "schedule": "#107C10", "security": "#D13438",
+    "help": "#E3008C",
+}
+_KIND_BADGE = {
+    "search": "badgeNeutral", "monitor": "badgeWarn", "cowork": "badge",
+    "graphrag": "badgePurple", "schedule": "badgeSuccess", "security": "badgeDanger",
+    "help": "badgePink",
+}
+_STATUS_BADGE = {
+    "unchecked": "badgeNeutral", "checking": "badgeWarn",
+    "ok": "badgeSuccess", "bad": "badgeDanger",
+}
+
+
+def _initials(name: str) -> str:
+    return "".join(w[0] for w in name.split() if w)[:2].upper()
+
+
+def _fmt_updated(ts: str) -> str:
+    """"dd/MM hh:mm" — same Cập nhật/Thời gian format as Monitoring's
+    Bảo mật/MCP/Hành động tables (``_fmt_event_time`` in monitoring_tab.py)."""
+    try:
+        dt = datetime.fromisoformat(ts)
+    except (TypeError, ValueError):
+        return ts
+    return dt.strftime("%d/%m %H:%M")
+
+
+def _kind_avatar_icon(kind: str, name: str, size: int = 20) -> QIcon:
+    pm = QPixmap(size, size)
+    pm.fill(Qt.transparent)
+    p = QPainter(pm)
+    p.setRenderHint(QPainter.Antialiasing)
+    p.setPen(Qt.NoPen)
+    p.setBrush(QColor(_KIND_COLOUR.get(kind, "#0078D4")))
+    p.drawEllipse(0, 0, size, size)
+    font = QFont()
+    font.setPixelSize(max(7, size // 2))
+    font.setBold(True)
+    p.setFont(font)
+    p.setPen(QColor("#FFFFFF"))
+    p.drawText(pm.rect(), Qt.AlignCenter, _initials(name))
+    p.end()
+    return QIcon(pm)
+
 
 class AgentEditDialog(QDialog):
     """Add/Edit one admin agent. The provider/model pickers are drop-lists,
@@ -161,41 +217,79 @@ class AgentsAdminTab(QWidget):
         self._check_workers: List[AgentWorker] = []
 
         root = QVBoxLayout(self)
+
+        hdr = QHBoxLayout()
+        self._title_lbl = QLabel()
+        self._title_lbl.setStyleSheet("font-weight:700; font-size:14px;")
+        hdr.addWidget(self._title_lbl)
+        hdr.addStretch(1)
+        # "Kiểm tra tất cả" keeps the real _check_all action reachable without
+        # competing with the 2 primary header buttons (Làm mới / + Thêm) — a
+        # flat, secondary-styled button rather than a 3rd primary one, but
+        # still labelled: an icon-only button here was a mystery button.
+        self.check_btn = QPushButton()
+        self.check_btn.setIcon(icon("check"))
+        self.check_btn.setFlat(True)
+        self.check_btn.setCursor(Qt.PointingHandCursor)
+        self.check_btn.clicked.connect(self._check_all)
+        hdr.addWidget(self.check_btn)
+        self.refresh_btn = QPushButton()
+        self.refresh_btn.setIcon(icon("refresh"))
+        self.refresh_btn.setCursor(Qt.PointingHandCursor)
+        self.refresh_btn.clicked.connect(self.refresh)
+        hdr.addWidget(self.refresh_btn)
+        self.add_btn = QPushButton()
+        self.add_btn.setIcon(icon("plus"))
+        self.add_btn.setObjectName("primary")
+        self.add_btn.setCursor(Qt.PointingHandCursor)
+        self.add_btn.clicked.connect(self._add)
+        hdr.addWidget(self.add_btn)
+        root.addLayout(hdr)
+
         self._hint = QLabel("")
         self._hint.setObjectName("hint")
         self._hint.setWordWrap(True)
         root.addWidget(self._hint)
 
-        self.table = QTableWidget(0, 6)
+        self.table = QTableWidget(0, 7)
         self.table.setEditTriggers(QTableWidget.NoEditTriggers)
-        self.table.setSelectionBehavior(QTableWidget.SelectRows)
+        # Sửa/Xoá/Kích hoạt are now per-row widgets (button/switch), and Vai
+        # trò/Trạng thái are pill cell widgets — none of those track a row
+        # across a re-sort (a cell widget stays pinned to its screen position,
+        # not to the item that moves — see monitoring_tab.py's _EventTable for
+        # the same lesson learned the hard way), so this table doesn't sort.
+        self.table.setSelectionMode(QTableWidget.NoSelection)
         self.table.verticalHeader().setVisible(False)
-        self.table.horizontalHeader().setStretchLastSection(True)
-        self.table.setSortingEnabled(True)
+        # Fixed row height — letting Qt auto-size rows from content fights
+        # with the toggle switch / badge cell widgets: their layout settles on
+        # a stale, oversized geometry from an intermediate sizing pass, which
+        # then overlaps neighbouring rows (same bug _EventTable hit for its
+        # Hành động pill, fixed there the same way).
+        self.table.verticalHeader().setSectionResizeMode(QHeaderView.Fixed)
+        self.table.verticalHeader().setDefaultSectionSize(32)
+        self.table.setIconSize(QSize(20, 20))
+        header = self.table.horizontalHeader()
+        header.setStretchLastSection(False)
+        for col in (0, 6):
+            header.setSectionResizeMode(col, QHeaderView.ResizeToContents)
+        # Vai trò/Trạng thái (1, 4) are pill cell widgets — ResizeToContents
+        # only measures QTableWidgetItem content, so it kept fighting refresh()'s
+        # manual sizeHint()-based setColumnWidth() and clipping the pill text.
+        # Interactive leaves whatever width refresh() sets alone.
+        for col in (1, 4):
+            header.setSectionResizeMode(col, QHeaderView.Interactive)
+        header.setSectionResizeMode(2, QHeaderView.Stretch)   # Model
+        header.setSectionResizeMode(5, QHeaderView.ResizeToContents)
         root.addWidget(self.table, 1)
 
-        btns = QHBoxLayout()
-        self.add_btn = QPushButton()
-        self.add_btn.setIcon(icon("plus"))
-        self.add_btn.setObjectName("primary")
-        self.add_btn.clicked.connect(self._add)
-        self.edit_btn = QPushButton()
-        self.edit_btn.setIcon(icon("edit"))
-        self.edit_btn.clicked.connect(self._edit)
-        self.del_btn = QPushButton()
-        self.del_btn.setIcon(icon("trash"))
-        self.del_btn.clicked.connect(self._delete)
-        self.check_btn = QPushButton()
-        self.check_btn.setIcon(icon("check"))
-        self.check_btn.clicked.connect(self._check_all)
-        for b in (self.add_btn, self.edit_btn, self.del_btn):
-            btns.addWidget(b)
-        btns.addStretch(1)
-        btns.addWidget(self.check_btn)
-        root.addLayout(btns)
-
+        # on_language_changed() already invokes _retranslate() once immediately
+        # (see i18n.py) — calling it again here was a harmless no-op back when
+        # every column was a plain QTableWidgetItem, but now refresh() also
+        # populates cell WIDGETS (toggle switch, pills, row actions): running
+        # it twice back-to-back with no event-loop turn in between left the
+        # first pass's widgets replaced but not yet deleted, so they briefly
+        # painted overlapping the second pass's row 0.
         on_language_changed(self._retranslate)
-        self._retranslate()
 
     # ---- storage ---------------------------------------------------------
     def _dir(self):
@@ -205,17 +299,6 @@ class AgentsAdminTab(QWidget):
         conf = self.ctx.config.provider_conf(self.ctx.config.active_provider)
         return conf.get("model", "")
 
-    def _selected_agent(self) -> Optional[admin_agents.AdminAgent]:
-        row = self.table.currentRow()
-        if row < 0:
-            return None
-        item = self.table.item(row, 0)
-        if item is None:
-            return None
-        from PySide6.QtCore import Qt
-
-        return admin_agents.load_agent(item.data(Qt.UserRole), self._dir())
-
     # ---- CRUD -------------------------------------------------------------
     def _add(self) -> None:
         dlg = AgentEditDialog(self, ctx=self.ctx, default_model_hint=self._default_model_hint())
@@ -232,8 +315,8 @@ class AgentsAdminTab(QWidget):
         admin_agents.save_agent(agent, self._dir())
         self.refresh()
 
-    def _edit(self) -> None:
-        agent = self._selected_agent()
+    def _edit_agent(self, agent_id: str) -> None:
+        agent = admin_agents.load_agent(agent_id, self._dir())
         if agent is None:
             return
         dlg = AgentEditDialog(self, ctx=self.ctx, agent=agent,
@@ -243,7 +326,6 @@ class AgentsAdminTab(QWidget):
         fields = dlg.result_fields()
         if not fields["name"]:
             return
-        from datetime import datetime
 
         agent.name = fields["name"]
         agent.task_kind = fields["task_kind"]
@@ -256,8 +338,8 @@ class AgentsAdminTab(QWidget):
         admin_agents.save_agent(agent, self._dir())
         self.refresh()
 
-    def _delete(self) -> None:
-        agent = self._selected_agent()
+    def _delete_agent(self, agent_id: str) -> None:
+        agent = admin_agents.load_agent(agent_id, self._dir())
         if agent is None:
             return
         if QMessageBox.question(
@@ -267,27 +349,69 @@ class AgentsAdminTab(QWidget):
         admin_agents.delete_agent(agent.agent_id, self._dir())
         self.refresh()
 
+    def _set_enabled(self, agent_id: str, enabled: bool) -> None:
+        agent = admin_agents.load_agent(agent_id, self._dir())
+        if agent is None or agent.enabled == enabled:
+            return
+
+        agent.enabled = enabled
+        agent.updated = datetime.now().isoformat(timespec="seconds")
+        agent.updated_by = (getattr(self.ctx, "account", None).username if getattr(self.ctx, "account", None) else "")
+        admin_agents.save_agent(agent, self._dir())
+        self.refresh()
+
     # ---- view --------------------------------------------------------------
     def _status_cell(self, agent_id: str) -> tuple:
-        """(status_icon | None, display_text, tooltip) for the operational-status
-        column — a colored LED dot instead of the old 🟢/🔴 emoji."""
+        """(state_key, display_text, tooltip) for the Trạng thái pill —
+        state_key indexes _STATUS_BADGE for the badge's colour tone."""
         res = self._status.get(agent_id)
         if res is None:
-            return None, tr("agents_admin.status_unchecked"), tr("agents_admin.status_unchecked_tip")
+            return ("unchecked", tr("agents_admin.status_unchecked").lstrip("— ").strip(),
+                    tr("agents_admin.status_unchecked_tip"))
         ok, msg = res
         if msg == "checking":
-            return dot_icon(DOT_AMBER), tr("agents_admin.status_checking"), ""
-        ic = dot_icon(DOT_GREEN if ok else DOT_RED)
-        return ic, (tr("agents_admin.status_ok") if ok else tr("agents_admin.status_bad")), msg
+            return "checking", tr("agents_admin.status_checking"), ""
+        return ("ok" if ok else "bad"), (tr("agents_admin.status_ok") if ok else tr("agents_admin.status_bad")), msg
+
+    def _toggle_widget(self, agent_id: str, enabled: bool) -> QWidget:
+        container = QWidget()
+        container.setStyleSheet("background: transparent;")
+        lay = QHBoxLayout(container)
+        lay.setContentsMargins(6, 0, 0, 0)
+        sw = ToggleSwitch()
+        sw.setChecked(enabled)
+        sw.toggled.connect(lambda checked, aid=agent_id: self._set_enabled(aid, checked))
+        lay.addWidget(sw, 0, Qt.AlignVCenter)
+        lay.addStretch(1)
+        return container
+
+    def _row_actions_widget(self, agent_id: str) -> QWidget:
+        container = QWidget()
+        container.setStyleSheet("background: transparent;")
+        lay = QHBoxLayout(container)
+        lay.setContentsMargins(2, 0, 2, 0)
+        lay.setSpacing(2)
+        edit_btn = QPushButton()
+        edit_btn.setIcon(icon("edit"))
+        edit_btn.setFlat(True)
+        edit_btn.setCursor(Qt.PointingHandCursor)
+        edit_btn.setToolTip(tr("agents_admin.edit_row_tooltip"))
+        edit_btn.clicked.connect(lambda: self._edit_agent(agent_id))
+        del_btn = QPushButton()
+        del_btn.setIcon(icon("trash"))
+        del_btn.setFlat(True)
+        del_btn.setCursor(Qt.PointingHandCursor)
+        del_btn.setToolTip(tr("agents_admin.delete_row_tooltip"))
+        del_btn.clicked.connect(lambda: self._delete_agent(agent_id))
+        lay.addWidget(edit_btn)
+        lay.addWidget(del_btn)
+        return container
 
     def refresh(self) -> None:
-        from PySide6.QtCore import Qt
-
         # Make sure the built-in in-app Help assistant exists, so the Admin can
         # manage its provider/model here (the floating Help widget uses it).
         admin_agents.ensure_help_agent(self._dir())
         agents = admin_agents.list_agents(self._dir())
-        self.table.setSortingEnabled(False)
         self.table.setRowCount(len(agents))
         default_model = self._default_model_hint()
         for row, agent in enumerate(agents):
@@ -296,23 +420,36 @@ class AgentsAdminTab(QWidget):
                 model = f"{provider_lbl} — {agent.model}" if provider_lbl else agent.model
             else:
                 model = tr("agents_admin.default_model", model=default_model or "—")
-            status_icon, status_text, status_tip = self._status_cell(agent.agent_id)
-            cells = [agent.name, tr(f"agents_admin.kind.{agent.task_kind}"),
-                     model, "", status_text, agent.updated]
-            for col, text in enumerate(cells):
-                item = QTableWidgetItem(str(text))
-                if col == 0:
-                    item.setData(Qt.UserRole, agent.agent_id)
-                if col == 3:   # Enabled — green check / grey minus icon (no emoji)
-                    item.setIcon(icon("check", color=DOT_GREEN) if agent.enabled
-                                 else icon("minus", color=DOT_GREY))
-                if col == 4:
-                    if status_icon:
-                        item.setIcon(status_icon)
-                    if status_tip:
-                        item.setToolTip(status_tip)
-                self.table.setItem(row, col, item)
-        self.table.setSortingEnabled(True)
+
+            name_item = QTableWidgetItem(agent.name)
+            name_item.setIcon(_kind_avatar_icon(agent.task_kind, agent.name))
+            self.table.setItem(row, 0, name_item)
+
+            kind_tone = _KIND_BADGE.get(agent.task_kind, "badge")
+            self.table.setCellWidget(
+                row, 1, badge_pill_widget(tr(f"agents_admin.kind.{agent.task_kind}"), kind_tone))
+
+            self.table.setItem(row, 2, QTableWidgetItem(model))
+            self.table.setCellWidget(row, 3, self._toggle_widget(agent.agent_id, agent.enabled))
+
+            state_key, status_text, status_tip = self._status_cell(agent.agent_id)
+            status_widget = badge_pill_widget(status_text, _STATUS_BADGE[state_key])
+            if status_tip:
+                status_widget.setToolTip(status_tip)
+            self.table.setCellWidget(row, 4, status_widget)
+
+            self.table.setItem(row, 5, QTableWidgetItem(_fmt_updated(agent.updated)))
+            self.table.setCellWidget(row, 6, self._row_actions_widget(agent.agent_id))
+
+        # ResizeToContents doesn't measure a cell WIDGET's real width (only
+        # QTableWidgetItem content) — size the Vai trò/Trạng thái pill columns
+        # by hand, or their text clips against whatever width it guessed.
+        if self.table.rowCount():
+            for col in (1, 4):
+                needed = max(self.table.cellWidget(r, col).sizeHint().width()
+                             for r in range(self.table.rowCount()))
+                if needed + 24 > self.table.columnWidth(col):
+                    self.table.setColumnWidth(col, needed + 24)
 
     def _check_all(self) -> None:
         """Health-check every agent's effective provider off the UI thread and
@@ -347,15 +484,15 @@ class AgentsAdminTab(QWidget):
         w.start()
 
     def _retranslate(self) -> None:
+        self._title_lbl.setText(tr("agents_admin.page_title"))
         self._hint.setText(tr("agents_admin.hint"))
         self.table.setHorizontalHeaderLabels([
             tr("agents_admin.col_name"), tr("agents_admin.col_kind"),
             tr("agents_admin.col_model"), tr("agents_admin.col_enabled"),
-            tr("agents_admin.col_status"), tr("agents_admin.col_updated"),
+            tr("agents_admin.col_status"), tr("agents_admin.col_updated"), "",
         ])
         self.add_btn.setText(tr("agents_admin.add_btn"))
-        self.edit_btn.setText(tr("agents_admin.edit_btn"))
-        self.del_btn.setText(tr("agents_admin.delete_btn"))
+        self.refresh_btn.setText(tr("monitoring.refresh"))
         self.check_btn.setText(tr("agents_admin.check_btn"))
         self.check_btn.setToolTip(tr("agents_admin.check_tooltip"))
         self.refresh()
diff --git a/ui/calendar_view.py b/ui/calendar_view.py
index dc09cca..861e20a 100644
--- a/ui/calendar_view.py
+++ b/ui/calendar_view.py
@@ -20,6 +20,7 @@ from ..core.calendar_grid import (
     GRANULARITIES, group_tasks_by_date, month_grid, month_task_counts, shift_period, week_days,
 )
 from ..i18n import on_language_changed, tr
+from ..theme import current_palette
 from .icons import icon
 
 _WEEKDAY_KEYS = ("mon", "tue", "wed", "thu", "fri", "sat", "sun")
@@ -56,20 +57,21 @@ class _DayCell(QFrame):
                 today: bool = False, weekend: bool = False) -> None:
         self._date_str = d.isoformat()
         self.date_lbl.setText(str(d.day))
-        num_color = "#0096C7" if today else ("#888" if dim else "")
-        self.date_lbl.setStyleSheet(f"font-weight:700; color:{num_color};")
-        # Today = accent border + stronger tint; weekend (Sat/Sun) = a subtle
-        # darker-blue tint than the base cell. rgba overlays read correctly on
-        # both light and dark themes.
-        base_border = "1px solid rgba(128,128,128,0.35)"
+        p = current_palette()
+        num_color = p.accent if today else (p.text_faint if dim else p.text)
+        self.date_lbl.setStyleSheet(f"font-weight:600; color:{num_color};")
+        # Today is the only cell that gets a filled surface + accent border;
+        # weekends are set apart by a recessed surface alone, so the eye lands
+        # on "today" first and on the weekend block only when scanning.
+        r = p.radius
         if today:
-            css = ("#dayCell { background: rgba(0,150,199,0.22); "
-                   "border: 2px solid #0096C7; border-radius: 6px; }")
+            css = (f"#dayCell {{ background: {p.accent_soft}; "
+                   f"border: 1px solid {p.accent}; border-radius: {r}px; }}")
         elif weekend:
-            css = ("#dayCell { background: rgba(0,120,182,0.13); "
-                   f"border: {base_border}; border-radius: 6px; }}")
+            css = (f"#dayCell {{ background: {p.surface}; "
+                   f"border: 1px solid {p.border}; border-radius: {r}px; }}")
         else:
-            css = f"#dayCell {{ border: {base_border}; border-radius: 6px; }}"
+            css = f"#dayCell {{ border: 1px solid {p.border}; border-radius: {r}px; }}"
         self.setStyleSheet(css)
         self.list.clear()
         for t in tasks:
diff --git a/ui/chat_panel.py b/ui/chat_panel.py
index 936e227..9457d13 100644
--- a/ui/chat_panel.py
+++ b/ui/chat_panel.py
@@ -24,6 +24,7 @@ from PySide6.QtWidgets import (
 from ..core.worker import AgentWorker
 from ..i18n import on_language_changed, tr
 from ..state import AppContext
+from ..theme import current_palette
 from .chat_view import ChatView, ThinkingIndicator
 from .composer import Composer
 from .icons import collapse_right_icon, icon as app_icon
@@ -83,6 +84,7 @@ class ChatPanel(QWidget):
         self.session_name = session_name
         self.session_id = new_session_id()
         self.title = ""
+        self._notify_title()
         # Which project (workspace) this conversation belongs to — every new
         # thread inherits the currently selected project (Claude-Projects style).
         self.project_id = "default"
@@ -140,8 +142,8 @@ class ChatPanel(QWidget):
         # updated after each turn; cost uses the Monitoring model-price table.
         self._usage_total_lbl = QLabel("")
         self._usage_total_lbl.setObjectName("hint")
-        self._usage_total_lbl.setStyleSheet("color: rgba(140,146,152,0.9);")
-        self.composer.add_bottom_left(self._usage_total_lbl)
+        self._usage_total_lbl.setStyleSheet(f"color: {current_palette().text_faint};")
+
 
         # Per-tab "Agent" = which MODEL this tab uses (e.g. deepseek / gemma /
         # qwen for the local provider). Cowork and Code pick independently and
@@ -165,13 +167,19 @@ class ChatPanel(QWidget):
         self.agent_combo.setMinimumWidth(150)
         self.agent_combo.setToolTip(tr("chatpanel.agent_tooltip"))
         self.agent_combo.currentIndexChanged.connect(self._on_agent_changed)
-        self.composer.add_bottom_right(self._agent_lbl)
-        self.composer.add_bottom_right(self.agent_combo)
+        self.composer.add_bottom_left(self._agent_lbl)
+        self.composer.add_bottom_left(self.agent_combo)
         # Off/Auto/Manual routing toggle — lets the router pick the best-fit
         # model per message (see core/routing + _apply_routing).
         from .routing_toggle import RoutingToggle
         self.routing_toggle = RoutingToggle(ctx, self.kind)
-        self.composer.add_bottom_right(self.routing_toggle)
+        # The drawing reads the strip left to right as
+        #   Agent: … · Định tuyến: … · ↓in ↑out · $cost · 📁 folder
+        # so these sit together on the left, with the folder box the Cowork tab
+        # appends landing after them. Nén and Tự chạy stay on the right, where
+        # the control inventory marks them "giữ nguyên tại chỗ".
+        self.composer.add_bottom_left(self.routing_toggle)
+        self.composer.add_bottom_left(self._usage_total_lbl)
         # Manual "compress conversation" — trim old history to cut tokens.
         self.compress_btn = QPushButton(tr("chatpanel.compress_btn"))
         self.compress_btn.setIcon(app_icon("compress"))
@@ -188,20 +196,29 @@ class ChatPanel(QWidget):
         cc.addWidget(self.chat_view, 1)
         self.thinking = ThinkingIndicator()   # animated "working…" line while we wait
         cc.addWidget(self.thinking)
-        composer_wrap = QWidget()
-        cwl = QVBoxLayout(composer_wrap)
-        cwl.setContentsMargins(8, 4, 8, 8)
-        cwl.addWidget(self.composer)
-        cc.addWidget(composer_wrap)
-
         self.center_split = QSplitter(Qt.Horizontal)
         self.center_split.addWidget(chat_col)
         root.addWidget(self.center_split, 1)
 
+        # The composer spans the whole screen, under BOTH columns — that is how
+        # the drawing lays it out, and it is the reason the files panel can sit
+        # beside the transcript without narrowing what you type into. Inside the
+        # chat column it stopped at the panel's edge and the input shrank
+        # whenever files appeared.
+        composer_wrap = QWidget()
+        cwl = QVBoxLayout(composer_wrap)
+        cwl.setContentsMargins(8, 4, 8, 8)
+        cwl.addWidget(self.composer)
+        root.addWidget(composer_wrap)
+
         # Right sidebar: Output files only (see below — Input is tracked but
         # not shown).
         self.input_section = CollapsibleSection(tr("widgets.input_files"))
-        self.output_section = CollapsibleSection(tr("widgets.output_files"))
+        # No cap: this section owns the whole right panel (its header is
+        # hoisted into io_hdr below), so the list should fill the space down
+        # to the composer instead of stopping at a fixed height with empty
+        # panel below it.
+        self.output_section = CollapsibleSection(tr("widgets.output_files").upper(), max_height=None)
         # Input files are NOT shown in Cowork's UI anymore — but they're still
         # fully tracked (add/remove/paths()) exactly as before, since that list
         # is what gets written into the conversation's own "inputs" field on
@@ -241,8 +258,15 @@ class ChatPanel(QWidget):
         self._io_collapse_btn.clicked.connect(lambda: self._set_io_collapsed(True))
         self._files_header = QLabel()
         self._files_header.setStyleSheet("font-weight:600;")
+        # The drawing gives this panel ONE heading — "TỆP ĐẦU RA (3) ›" — and
+        # the section already draws exactly that, count included. A separate
+        # "Files" label above it was the same thing said twice, so the section's
+        # own header moves onto this row and the collapse chevron sits at its
+        # right, where the drawing puts it. _files_header stays for the tabs
+        # that still label their panel, just not in this layout.
+        self._files_header.setVisible(False)
+        io_hdr.addWidget(self.output_section.header, 1)
         io_hdr.addWidget(self._io_collapse_btn)
-        io_hdr.addWidget(self._files_header, 1)
         # The plan now shows INLINE in the conversation (an expandable block whose
         # steps tick off as they complete), not in this right panel — so it's kept
         # out of the layout here. The object stays (its set_steps/clear calls are
@@ -253,8 +277,7 @@ class ChatPanel(QWidget):
         bl = QVBoxLayout(bl_host)
         bl.setContentsMargins(0, 0, 0, 0)
         bl.setSpacing(4)
-        bl.addWidget(self.output_section)   # Output only — Input is tracked but hidden
-        bl.addStretch(1)
+        bl.addWidget(self.output_section, 1)   # Output only — Input is tracked but hidden; fills down to the composer
         iol.addWidget(bl_host, 1)
 
         # Collapsing shrinks the panel to a thin clickable line (not hidden).
@@ -284,7 +307,7 @@ class ChatPanel(QWidget):
         self.compress_btn.setText(tr("chatpanel.compress_btn"))
         self.compress_btn.setToolTip(tr("chatpanel.compress_tooltip"))
         self.input_section.set_title(tr("widgets.input_files"))
-        self.output_section.set_title(tr("widgets.output_files"))
+        self.output_section.set_title(tr("widgets.output_files").upper())
         self.plan_section.set_title(tr("widgets.plan_title"))
         self._io_collapse_btn.setToolTip(tr("chatpanel.collapse_files_tooltip"))
         self._files_header.setText(tr("chatpanel.files_header"))
@@ -1023,6 +1046,7 @@ class ChatPanel(QWidget):
         if not self.title:
             base = text or (Path(attachments[0]).name if attachments else "(attachment)")
             self.title = (base[:60] + "…") if len(base) > 60 else base
+            self._notify_title()
 
         # Reset the Plan panel so each message starts from a clean checklist (the
         # previous message's plan never lingers/flickers into this one).
@@ -1398,6 +1422,26 @@ class ChatPanel(QWidget):
         return [e for e in ut.load_events()
                 if e.get("source") == self.kind and e.get("label") == label]
 
+    def refresh_usage(self) -> None:
+        """Show what this conversation has already cost.
+
+        The label was written only at the end of a turn, so opening a thread
+        from History left the strip blank however much it had spent.
+        """
+        from ..core import model_pricing as mp
+        from ..core import usage_tracker as ut
+
+        cur = self._usage_snapshot()
+        if not (cur["in"] or cur["out"] or cur["cache"]):
+            self._usage_total_lbl.setText("")
+            return
+        # same source _show_usage reads, so the two never disagree
+        pricing = {**ut.DEFAULT_PRICING, **(self.ctx.config.data.get("usage") or {})}
+        self._usage_total_lbl.setText(
+            f"↓{mp.format_tokens(cur['in'])} ↑{mp.format_tokens(cur['out'])} "
+            f"▤{mp.format_tokens(cur['in'] + cur['out'] + cur['cache'])} "
+            f"{ut.format_cost(self._session_cost_usd(), pricing)}")
+
     def _usage_snapshot(self) -> Dict[str, int]:
         """Cumulative in/out/cache tokens for THIS conversation so far."""
         snap = {"in": 0, "out": 0, "cache": 0}
@@ -1668,6 +1712,18 @@ class ChatPanel(QWidget):
         self._sync_indicators()
         self.history_changed.emit()   # current view changed → refresh History highlight
 
+    def _notify_title(self) -> None:
+        """Let a screen that heads itself with the thread title follow along.
+
+        The thread also decides what the usage strip should read, so refresh
+        that here rather than at each of the three places the title changes.
+        """
+        hook = getattr(self, "refresh_title", None)
+        if callable(hook):
+            hook()
+        if getattr(self, "_usage_total_lbl", None) is not None:
+            self.refresh_usage()
+
     def load_conversation(self, conv: Dict[str, Any]) -> None:
         """Switch the view to a stored conversation. Allowed while work is running —
         the current turns keep going in the background."""
@@ -1679,6 +1735,7 @@ class ChatPanel(QWidget):
         self._detach_live_turns()
         self.session_id = sid
         self.title = conv.get("title", "")
+        self._notify_title()
         self.project_id = conv.get("project_id", "") or "default"
         # If this conversation still has a turn running in the background, attach to
         # its LIVE message list (not a stale disk copy) so the two never race on save.
diff --git a/ui/chat_view.py b/ui/chat_view.py
index dc2c6d4..5e4bc96 100644
--- a/ui/chat_view.py
+++ b/ui/chat_view.py
@@ -12,7 +12,7 @@ from PySide6.QtWidgets import (
 )
 
 from ..i18n import on_language_changed, tr
-from ..theme import ACCENT, resolve_theme
+from ..theme import palette, resolve_theme
 from ..config import CONFIG_DIR
 from .osutil import is_image, open_folder, open_path
 
@@ -28,11 +28,18 @@ def _app_theme() -> str:
         return "dark"
 
 
-# Timeline dot color per role (reads on both themes — small, saturated).
-_DOT = {
-    "user": "#48CAE4", "assistant": "#48D9A0", "tool": "#9B8FF7",
-    "error": "#E5484D", "success": "#48D9A0",
-}
+def _p():
+    """Design tokens for the theme in effect right now."""
+    return palette(_app_theme())
+
+
+def _dot_color(role: str) -> str:
+    """Timeline dot colour for a message role."""
+    p = _p()
+    return {
+        "user": p.role_user, "assistant": p.role_assistant, "tool": p.role_tool,
+        "error": p.role_error, "success": p.role_result,
+    }.get(role, p.text_faint)
 
 
 class _TimelineGutter(QWidget):
@@ -52,17 +59,17 @@ class _TimelineGutter(QWidget):
     def paintEvent(self, _e):  # noqa: N802
         p = QPainter(self)
         p.setRenderHint(QPainter.Antialiasing)
-        dark = _app_theme() == "dark"
+        tok = _p()
         x = 11.0
         cy = 15.0
         # connector line (faint) running the full height → continuous rail
-        p.setPen(QPen(QColor("#243a56" if dark else "#CBDDEC"), 2))
+        p.setPen(QPen(QColor(tok.border), 2))
         p.drawLine(int(x), 0, int(x), self.height())
         # a background ring lifts the dot off the line
         p.setPen(Qt.NoPen)
-        p.setBrush(QColor("#0A1628" if dark else "#E8F4FD"))
+        p.setBrush(QColor(tok.bg))
         p.drawEllipse(QPointF(x, cy), 7.5, 7.5)
-        p.setBrush(QColor(_DOT.get(self._role, "#8FB2D4")))
+        p.setBrush(QColor(_dot_color(self._role)))
         p.drawEllipse(QPointF(x, cy), 4.5, 4.5)
 
 
@@ -72,18 +79,20 @@ def _diff_legend(diff_text: str) -> str:
     so the before/after distinction is explicit, not just implied by color."""
     has_add = any(ln.startswith("+") and not ln.startswith("+++") for ln in diff_text.splitlines())
     has_del = any(ln.startswith("-") and not ln.startswith("---") for ln in diff_text.splitlines())
-    before = (f'<span style="background:#3a1620; color:#ff9aa8; padding:1px 8px; '
-              f'border-radius:4px; font-weight:600;">{html.escape(tr("chat.diff_before"))}</span>')
-    after = (f'<span style="background:#0d3321; color:#7ee2a8; padding:1px 8px; '
-             f'border-radius:4px; font-weight:600;">{html.escape(tr("chat.diff_after"))}</span>')
+    p = _p()
+
+    def pill(bg: str, fg: str, key: str) -> str:
+        return (f'<span style="background:{bg}; color:{fg}; padding:1px 8px; '
+                f'border-radius:4px; font-weight:600;">{html.escape(tr(key))}</span>')
+
     if has_add and has_del:
-        badge = f'{before}<span style="color:#8b8d98;"> → </span>{after}'
+        badge = (pill(p.diff_del_bg, p.diff_del_fg, "chat.diff_before")
+                 + f'<span style="color:{p.text_muted};"> → </span>'
+                 + pill(p.diff_add_bg, p.diff_add_fg, "chat.diff_after"))
     elif has_add:
-        badge = (f'<span style="background:#0d3321; color:#7ee2a8; padding:1px 8px; '
-                  f'border-radius:4px; font-weight:600;">{html.escape(tr("chat.diff_added"))}</span>')
+        badge = pill(p.diff_add_bg, p.diff_add_fg, "chat.diff_added")
     elif has_del:
-        badge = (f'<span style="background:#3a1620; color:#ff9aa8; padding:1px 8px; '
-                  f'border-radius:4px; font-weight:600;">{html.escape(tr("chat.diff_removed"))}</span>')
+        badge = pill(p.diff_del_bg, p.diff_del_fg, "chat.diff_removed")
     else:
         return ""
     return f'<div style="margin-bottom:6px;">{badge}</div>'
@@ -97,21 +106,22 @@ def diff_to_html(diff_text: str) -> str:
     empty 'before') naturally renders as all-green, which is exactly what
     ``difflib.unified_diff`` already produces for it."""
     legend = _diff_legend(diff_text)
+    p = _p()
     rows = []
     for ln in diff_text.splitlines():
         esc = html.escape(ln) if ln else "&nbsp;"
         if ln.startswith(("+++", "---")):
-            rows.append(f'<div style="color:#8b8d98;">{esc}</div>')
+            rows.append(f'<div style="color:{p.text_muted};">{esc}</div>')
         elif ln.startswith("@@"):
-            rows.append(f'<div style="color:#7c8aff;">{esc}</div>')
+            rows.append(f'<div style="color:{p.accent};">{esc}</div>')
         elif ln.startswith("+"):
-            rows.append(f'<div style="background:#0d3321; color:#7ee2a8;">{esc}</div>')
+            rows.append(f'<div style="background:{p.diff_add_bg}; color:{p.diff_add_fg};">{esc}</div>')
         elif ln.startswith("-"):
-            rows.append(f'<div style="background:#3a1620; color:#ff9aa8;">{esc}</div>')
+            rows.append(f'<div style="background:{p.diff_del_bg}; color:{p.diff_del_fg};">{esc}</div>')
         else:
             rows.append(f"<div>{esc}</div>")
     body = "".join(rows) or "(no textual change)"
-    return (f'{legend}<div style="font-family:Consolas,\'Courier New\',monospace; font-size:12.5px; '
+    return (f'{legend}<div style="font-family:{p.font_mono}; font-size:12.5px; '
             f'white-space:pre-wrap;">{body}</div>')
 
 
@@ -219,12 +229,12 @@ class MessageBubble(QFrame):
                 self._head.setCursor(Qt.PointingHandCursor)
                 self._head.setStyleSheet(
                     "QPushButton { text-align:left; border:none; background:transparent;"
-                    " font-weight:600; color:#8b8d98; padding:0; }")
+                    f" font-weight:600; color:{_p().text_muted}; padding:0; }}")
                 self._head.clicked.connect(self._toggle_body)
                 lay.addWidget(self._head)
             else:
                 head = QLabel(title)
-                head.setStyleSheet("font-weight:600; color:#8b8d98;")
+                head.setStyleSheet(f"font-weight:600; color:{_p().text_muted};")
                 lay.addWidget(head)
 
         self.body = QTextBrowser()
@@ -265,36 +275,23 @@ class MessageBubble(QFrame):
 
     def _apply_theme_styles(self, role: str) -> None:
         """Apply text color to the body QTextBrowser based on current theme + role."""
-        theme = self._current_theme()
-        if theme == "light":
-            if role == "success":
-                text_color = "#1B7A3D"
-            elif role == "error":
-                text_color = "#C0392B"
-            elif role in ("tool",):
-                text_color = "#5C6B7A"          # muted (secondary) like Claude's steps
-            else:
-                text_color = "#1A2332"
-        else:
-            if role == "success":
-                text_color = "#7ee2a8"
-            elif role == "error":
-                text_color = "#ff9aa8"
-            elif role in ("tool",):
-                text_color = "#9aa6b8"
-            else:
-                text_color = "#eceef2"
+        p = _p()
+        text_color = {
+            "success": p.success,
+            "error": p.danger,
+            "tool": p.text_muted,       # secondary, like Claude's steps
+        }.get(role, p.text)
         self.body.setStyleSheet(f"background: transparent; border: none; color: {text_color};")
 
     def _apply_style(self, role: str) -> None:
         """Flat timeline row — no bubble box; the left dot/rail conveys role and
         structure (Claude-Code style). The user's own message gets a faint tint
         so questions are easy to pick out when scanning."""
-        theme = self._current_theme()
+        p = _p()
         if role == "user":
-            tint = "rgba(72,202,228,0.10)" if theme == "dark" else "rgba(72,202,228,0.14)"
             self.setStyleSheet(
-                f"QFrame {{ background: {tint}; border: none; border-radius: 10px; }}")
+                f"QFrame {{ background: {p.surface}; border: none; "
+                f"border-radius: {p.radius}px; }}")
         else:
             self.setStyleSheet("QFrame { background: transparent; border: none; }")
 
@@ -353,20 +350,20 @@ class MessageBubble(QFrame):
             existing.setText(text)
             return
         lbl = QLabel(text)
-        lbl.setObjectName("hint")
-        lbl.setStyleSheet("color: rgba(140,146,152,0.9); font-size: 11px;")
+        lbl.setObjectName("faint")
+        lbl.setStyleSheet(f"color: {_p().text_faint}; font-size: 11px;")
         self._usage_lbl = lbl
         self._content_layout.addWidget(lbl)
 
     def add_delete_link(self, callback) -> None:
-        link = QLabel(f'<a href="#del" style="color:#ef6368;">{tr("chat.delete_link")}</a>')
+        link = QLabel(f'<a href="#del" style="color:{_p().danger};">{tr("chat.delete_link")}</a>')
         link.setToolTip(tr("chat.delete_tooltip"))
         link.linkActivated.connect(lambda *_: callback())
         self._content_layout.addWidget(link)
 
     def add_folder_link(self, folder: str, label: str | None = None) -> None:
         label = label or tr("chat.open_workspace")
-        link = QLabel(f'<a href="#open" style="color:{ACCENT};">{label}</a>')
+        link = QLabel(f'<a href="#open" style="color:{_p().accent};">{label}</a>')
         link.setToolTip(str(folder))
         link.linkActivated.connect(lambda *_: open_folder(folder))
         self._content_layout.addWidget(link)
@@ -385,7 +382,7 @@ class MessageBubble(QFrame):
                     thumb.setCursor(Qt.PointingHandCursor)
                     self._content_layout.addWidget(thumb)
                     continue
-            file_link = QLabel(f'<a href="#open" style="color:{ACCENT};">{name}</a>')
+            file_link = QLabel(f'<a href="#open" style="color:{_p().accent};">{name}</a>')
             file_link.setToolTip(path)
             file_link.linkActivated.connect(lambda *_a, fp=path: open_path(fp))
             self._content_layout.addWidget(file_link)
diff --git a/ui/co4e_canvas.py b/ui/co4e_canvas.py
index eabd988..e47e1a7 100644
--- a/ui/co4e_canvas.py
+++ b/ui/co4e_canvas.py
@@ -27,13 +27,20 @@ from ..core.co4e import (
     STEP_DONE, STEP_ERROR, STEP_PLANNED, STEP_RUNNING, Edge, Node, Step,
     compute_waves, new_edge_id, new_node_id,
 )
+from ..theme import current_palette
+
+
+def _status_color(status: str) -> str:
+    """Accent colour for a step's run status. Resolved per paint so the canvas
+    follows a live theme switch."""
+    p = current_palette()
+    return {
+        "idle": p.text_muted, STEP_RUNNING: p.accent, STEP_DONE: p.success,
+        STEP_ERROR: p.danger, STEP_PLANNED: p.purple, "pending": p.text_faint,
+    }.get(status, p.text_muted)
 
 CO4E_MIME = "application/x-co4e-step"
 
-_STATUS_COLOR = {
-    "idle": "#5C8DB8", STEP_RUNNING: "#48CAE4", STEP_DONE: "#48D9A0",
-    STEP_ERROR: "#E5484D", STEP_PLANNED: "#9B8FF7", "pending": "#7A8DA8",
-}
 _NODE_W, _NODE_H = 210, 96
 _PORT_R = 6                 # output port radius (the drag-to-connect handle)
 _PORT_HIT = 15             # click tolerance around a port
@@ -63,24 +70,29 @@ class _NodeItem(QGraphicsObject):
         return QRectF(1, 1, _NODE_W - 2, _NODE_H - 2)
 
     def paint(self, p, _opt, _widget=None):
+        tok = current_palette()
         step = self.node.data
-        accent = QColor(_STATUS_COLOR.get(self.status, "#5C8DB8"))
-        body = QColor("#0D1F35")
-        border = QColor("#48CAE4") if self.isSelected() else QColor("#1A2D4A")
+        accent = QColor(_status_color(self.status))
+        body = QColor(tok.surface_raised)
+        border = QColor(tok.accent) if self.isSelected() else QColor(tok.border)
         p.setRenderHint(p.RenderHint.Antialiasing)
         rect = self._card_rect()
         path = QPainterPath()
-        path.addRoundedRect(rect, 10, 10)
+        radius = float(tok.radius_lg)
+        path.addRoundedRect(rect, radius, radius)
         p.fillPath(path, QBrush(body))
         p.setPen(QPen(border, 2 if self.isSelected() else 1))
         p.drawPath(path)
-        # header stripe
+        # header stripe — a tint of the status colour, not the status colour
+        # itself, so the card's own text stays the brightest thing on it.
         hdr = QRectF(rect.left(), rect.top(), rect.width(), 26)
         hpath = QPainterPath()
-        hpath.addRoundedRect(hdr, 10, 10)
-        p.fillPath(hpath, QBrush(accent.darker(160)))
+        hpath.addRoundedRect(hdr, radius, radius)
+        stripe = QColor(accent)
+        stripe.setAlpha(48)
+        p.fillPath(hpath, QBrush(stripe))
         # label
-        p.setPen(QColor("#E0F0FF"))
+        p.setPen(QColor(tok.text))
         f = p.font(); f.setBold(True); f.setPointSize(9); p.setFont(f)
         p.drawText(QRectF(10, 4, _NODE_W - 20, 20), Qt.AlignVCenter | Qt.AlignLeft,
                    _elide(step.label, 26))
@@ -89,7 +101,7 @@ class _NodeItem(QGraphicsObject):
         p.setPen(accent)
         p.drawText(QRectF(10, 30, _NODE_W - 20, 16), Qt.AlignLeft, step.role)
         # body: instructions preview OR sub-agent chips
-        p.setPen(QColor("#8FB2D4"))
+        p.setPen(QColor(tok.text_muted))
         if step.is_parallel:
             preview = "⇉ " + ", ".join(s.agent for s in step.sub_agents) if step.sub_agents else "⇉ (no sub-agents)"
         else:
@@ -97,7 +109,7 @@ class _NodeItem(QGraphicsObject):
         p.drawText(QRectF(10, 46, _NODE_W - 20, 30), Qt.TextWordWrap | Qt.AlignTop,
                    _elide(preview, 66))
         # footer: model + skills + status dot
-        p.setPen(QColor("#5C8DB8"))
+        p.setPen(QColor(tok.text_faint))
         foot = []
         if step.model:
             foot.append(step.model)
@@ -109,7 +121,7 @@ class _NodeItem(QGraphicsObject):
         # ---- ports ---------------------------------------------------------
         # input port (top-center): hollow. output port (bottom-center): filled —
         # the drag handle you pull to wire an edge to another step.
-        port_col = QColor("#48CAE4")
+        port_col = QColor(tok.accent)
         # input port (left-center): hollow. output port (right-center): filled —
         # the drag handle you pull to wire an edge to the next step (left→right).
         p.setBrush(QBrush(body)); p.setPen(QPen(port_col, 1.4))
@@ -298,12 +310,13 @@ class _EdgeItem(QGraphicsPathItem):
         self._apply_pen()
 
     def _apply_pen(self):
+        tok = current_palette()
         if self.isSelected():
-            color, w = QColor("#48CAE4"), 3
+            color, w = QColor(tok.accent), 3
         elif self._hover:
-            color, w = QColor("#6FA8C8"), 3
+            color, w = QColor(tok.text_muted), 3
         else:
-            color, w = QColor("#3A5A78"), 2
+            color, w = QColor(tok.border_strong), 2
         self.setPen(QPen(color, w, Qt.SolidLine, Qt.RoundCap, Qt.RoundJoin))
 
     def update_path(self, points):
@@ -491,7 +504,8 @@ class Co4ECanvas(QGraphicsView):
         self._port_src_pt = scene_pt
         self._temp_edge = QGraphicsPathItem()
         self._temp_edge.setZValue(3.5)      # above nodes + edges while connecting
-        self._temp_edge.setPen(QPen(QColor("#48CAE4"), 2, Qt.DashLine, Qt.RoundCap))
+        self._temp_edge.setPen(
+            QPen(QColor(current_palette().accent), 2, Qt.DashLine, Qt.RoundCap))
         self._scene.addItem(self._temp_edge)
 
     def update_port_drag(self, scene_pt: QPointF) -> None:
diff --git a/ui/co4e_config_panel.py b/ui/co4e_config_panel.py
index 327220d..fd2e928 100644
--- a/ui/co4e_config_panel.py
+++ b/ui/co4e_config_panel.py
@@ -11,18 +11,124 @@ from __future__ import annotations
 
 from typing import List, Optional
 
-from PySide6.QtCore import Qt, Signal
+from PySide6.QtCore import Qt, QEasingCurve, QPropertyAnimation, Signal
 from PySide6.QtWidgets import (
-    QCheckBox, QComboBox, QFormLayout, QHBoxLayout, QInputDialog, QLabel,
-    QLineEdit, QListWidget, QListWidgetItem, QPlainTextEdit, QPushButton,
-    QScrollArea, QSpinBox, QVBoxLayout, QWidget,
+    QCheckBox, QComboBox, QFormLayout, QHBoxLayout, QInputDialog,
+    QLabel, QLineEdit, QListWidget, QListWidgetItem, QPlainTextEdit,
+    QPushButton, QScrollArea, QSpinBox, QVBoxLayout, QWidget,
 )
 
 from ..config import PROVIDER_LABELS
 from ..core.co4e import PERMISSION_PRESETS, Step, SubAgent
 from ..i18n import tr
+from ..theme import current_palette
 from .icons import icon, icon_picker_combo
 
+_SECTION_ANIM_MS = 180
+
+
+class _SectionHeader(QLabel):
+    """A clickable label — a QPushButton's own style chrome (border, native
+    button margin, focus rect) always leaves a taller minimum height than a
+    plain label, even once its QSS padding is zeroed out, so the header that
+    needs to sit tight against its neighbours is a label, not a button."""
+
+    clicked = Signal()
+
+    def mousePressEvent(self, event) -> None:  # noqa: N802
+        if event.button() == Qt.LeftButton:
+            self.clicked.emit()
+        super().mousePressEvent(event)
+
+    def showEvent(self, event) -> None:  # noqa: N802
+        # fontMetrics() at construction time (before this label is ever part
+        # of a shown top-level window) reflects the QSS font-size only if the
+        # style has fully polished by then — on the very FIRST paint of the
+        # Co4E screen it sometimes hasn't, so the fixed height computed in
+        # _add_section is briefly wrong (too tall) until something else
+        # triggers a relayout. Recomputing here, every time the label
+        # actually becomes visible, means the first paint is never stale.
+        self.setFixedHeight(self.fontMetrics().height())
+        super().showEvent(event)
+
+
+def _add_section(outer: QVBoxLayout, title: str) -> tuple[QFormLayout, QWidget]:
+    """One group of fields, collapsed to just its heading by default and
+    independently expandable, so a long step config reads as a short list of
+    group names until you open the one you need. Deliberately bare — no card
+    border/background/box — the ▶/▼ marker and the heading text are the only
+    things separating one group from the next; opening one never closes
+    another (not an accordion, not a tab bar). Returns ``(form, card)``: add
+    the group's rows to ``form``; ``card`` is the whole section (header +
+    body) — hide it to remove the group entirely (e.g. for a section that
+    only applies to some steps), rather than hiding individual rows inside
+    an always-visible header."""
+    p = current_palette()
+    card = QWidget()
+    card_lay = QVBoxLayout(card)
+    card_lay.setContentsMargins(0, 0, 0, 0)
+    card_lay.setSpacing(0)
+
+    header = _SectionHeader()
+    header.setCursor(Qt.PointingHandCursor)
+    header.setStyleSheet(f"font-weight:400; font-size:13px; color:{p.text}; padding:0; margin:0;")
+    header.setContentsMargins(0, 0, 0, 0)
+    # QSS font-size only lands on the widget's actual QFont (and therefore
+    # its fontMetrics()) once the style sheet is polished — ensurePolished()
+    # forces that now, so the fixed height below is computed from the 12px
+    # font just set above, not the default one this label was constructed
+    # with. A label's natural sizeHint still reserves font leading above/
+    # below the glyphs on top of the (now zeroed) QSS padding — pinning the
+    # height to the text's actual cap-to-baseline span is what closes that
+    # last gap without clipping the ▶ glyph, the title, or Vietnamese
+    # diacritics.
+    header.ensurePolished()
+    header.setFixedHeight(header.fontMetrics().height())
+    header.setText(f"▶ {title}")
+    card_lay.addWidget(header)
+
+    body = QWidget()
+    body.setVisible(False)
+    body.setMaximumHeight(0)
+    form = QFormLayout(body)
+    form.setContentsMargins(0, 6, 0, 0)
+    card_lay.addWidget(body)
+
+    anim = QPropertyAnimation(body, b"maximumHeight", body)
+    anim.setDuration(_SECTION_ANIM_MS)
+    anim.setEasingCurve(QEasingCurve.InOutCubic)
+
+    is_open = False
+
+    def _on_finished() -> None:
+        if is_open:
+            # Uncapped once open, so switching to a step whose fields make
+            # this section taller/shorter (e.g. a parallel node's sub-agent
+            # list appearing) is never clipped by the height this animation
+            # last landed on.
+            body.setMaximumHeight(16_777_215)
+        else:
+            body.setVisible(False)
+    anim.finished.connect(_on_finished)
+
+    def _toggle() -> None:
+        nonlocal is_open
+        is_open = not is_open
+        header.setText(f"{'▼' if is_open else '▶'} {title}")
+        anim.stop()
+        if is_open:
+            body.setVisible(True)
+            anim.setStartValue(body.height())
+            anim.setEndValue(body.sizeHint().height())
+        else:
+            anim.setStartValue(body.height())
+            anim.setEndValue(0)
+        anim.start()
+    header.clicked.connect(_toggle)
+
+    outer.addWidget(card)
+    return form, card
+
 
 class StepConfigPanel(QScrollArea):
     changed = Signal()            # any field edited → repaint node + autosave
@@ -39,7 +145,16 @@ class StepConfigPanel(QScrollArea):
         self.setWidgetResizable(True)
         host = QWidget()
         self.setWidget(host)
-        form = QFormLayout(host)
+        outer = QVBoxLayout(host)
+        outer.setSpacing(1)
+
+        # Grouped sections stacked on one scrolling page — same fields as
+        # before, grouped by what they're for: identity, execution
+        # (model/permission), and the extra resources fed to the step
+        # (skills/files/sub-agents). No tabs/accordion: every group's border
+        # and heading are what separate it from its neighbours, and all three
+        # are on screen (or one scroll away) at once.
+        form, _basic_card = _add_section(outer, tr("co4e.tab_basic"))
 
         self.label_edit = QLineEdit()
         self.label_edit.textChanged.connect(self._on_edit)
@@ -80,6 +195,8 @@ class StepConfigPanel(QScrollArea):
         self.context_edit.textChanged.connect(self._on_edit)
         form.addRow(tr("co4e.f_context"), self.context_edit)
 
+        form2, _model_card = _add_section(outer, tr("co4e.tab_model_perm"))
+
         model_row = QHBoxLayout()
         self.model_combo = QComboBox()
         self.model_combo.setEditable(True)
@@ -92,13 +209,13 @@ class StepConfigPanel(QScrollArea):
         model_row.addWidget(self.model_combo, 1)
         model_row.addWidget(self.load_models_btn)
         mrow = QWidget(); mrow.setLayout(model_row)
-        form.addRow(tr("co4e.f_model"), mrow)
+        form2.addRow(tr("co4e.f_model"), mrow)
 
         self.perm_combo = QComboBox()
         for preset in PERMISSION_PRESETS:
             self.perm_combo.addItem(tr(f"co4e.perm.{preset}"), preset)
         self.perm_combo.currentIndexChanged.connect(self._on_edit)
-        form.addRow(tr("co4e.f_permission"), self.perm_combo)
+        form2.addRow(tr("co4e.f_permission"), self.perm_combo)
 
         verify_row = QHBoxLayout()
         self.verify_chk = QCheckBox(tr("co4e.f_self_verify"))
@@ -111,13 +228,15 @@ class StepConfigPanel(QScrollArea):
         verify_row.addWidget(self.rounds_spin)
         verify_row.addStretch(1)
         vrow = QWidget(); vrow.setLayout(verify_row)
-        form.addRow("", vrow)
+        form2.addRow("", vrow)
+
+        form3, _skills_card = _add_section(outer, tr("co4e.tab_skills_files"))
 
         # Skills checklist (registry skills)
         self.skills_list = QListWidget()
         self.skills_list.setMaximumHeight(110)
         self.skills_list.itemChanged.connect(self._on_edit)
-        form.addRow(tr("co4e.f_skills"), self.skills_list)
+        form3.addRow(tr("co4e.f_skills"), self.skills_list)
 
         # Attachments — files whose extracted text is fed to this step at run time.
         self.attach_list = QListWidget()
@@ -133,11 +252,15 @@ class StepConfigPanel(QScrollArea):
         att_btns.addWidget(self.attach_del_btn)
         att_btns.addStretch(1)
         abtn = QWidget(); abtn.setLayout(att_btns)
-        form.addRow(tr("co4e.f_attachments"), self.attach_list)
-        form.addRow("", abtn)
+        form3.addRow(tr("co4e.f_attachments"), self.attach_list)
+        form3.addRow("", abtn)
 
-        # Parallel sub-agents (only shown for parallel nodes)
-        self.parallel_label = QLabel(tr("co4e.f_subagents"))
+        # Parallel sub-agents get their OWN section — same header style as
+        # Cơ bản/Model & Quyền/Skills & Tệp — rather than a row buried inside
+        # Skills & Tệp, since it's really a distinct group, just one that
+        # only applies to parallel-variant steps. load_step() hides the whole
+        # card for a non-parallel step (see is_par below).
+        form4, self._parallel_card = _add_section(outer, tr("co4e.f_subagents"))
         self.sub_list = QListWidget()
         self.sub_list.setMaximumHeight(90)
         self.sub_list.itemDoubleClicked.connect(self._edit_subagent)   # re-pick agent
@@ -152,10 +275,11 @@ class StepConfigPanel(QScrollArea):
         sub_btns.addWidget(self.sub_del_btn)
         sub_btns.addStretch(1)
         sbtn = QWidget(); sbtn.setLayout(sub_btns)
-        form.addRow(self.parallel_label, self.sub_list)
-        form.addRow("", sbtn)
+        form4.addRow(self.sub_list)
+        form4.addRow("", sbtn)
 
-        # Footer actions — one compact row (Run · Run from here · Delete).
+        # Footer actions — one compact row (Run · Run from here · Delete),
+        # kept below every section, not inside one of the cards.
         self.run_btn = QPushButton(tr("co4e.run"))
         self.run_btn.setIcon(icon("play"))
         self.run_btn.setToolTip(tr("co4e.run_this_step"))
@@ -170,12 +294,21 @@ class StepConfigPanel(QScrollArea):
         self.del_btn.setFixedWidth(38)
         self.del_btn.clicked.connect(lambda: self.delete_node.emit(self._node_id))
         foot = QHBoxLayout()
-        foot.setContentsMargins(0, 0, 0, 0)
         foot.addWidget(self.run_btn, 1)
         foot.addWidget(self.run_from_btn, 1)
         foot.addWidget(self.del_btn)
         foot_w = QWidget(); foot_w.setLayout(foot)
-        form.addRow("", foot_w)
+        outer.addWidget(foot_w)
+        # Without this, QVBoxLayout hands every child widget an EQUAL share of
+        # whatever extra height the scroll area's viewport has beyond the
+        # content's own sizeHint (setWidgetResizable(True) stretches `host` to
+        # fill it) — each collapsed header's card was measuring a true
+        # sizeHint of ~17px but rendering over 100px taller, and no amount of
+        # margin/padding/spacing on the header itself could touch that: the
+        # surplus was being spent on the cards, not around them. One trailing
+        # stretch absorbs all of it instead, so every section (and the
+        # footer) renders at exactly its own natural height.
+        outer.addStretch(1)
 
         self.setEnabled(False)
 
@@ -209,12 +342,11 @@ class StepConfigPanel(QScrollArea):
             item = QListWidgetItem(_P(path).name)
             item.setToolTip(path)
             self.attach_list.addItem(item)
-        # parallel sub-agents
+        # parallel sub-agents — the whole "Agent song song" section only
+        # applies to parallel-variant steps, so the entire card (header
+        # included) is hidden for any other step, not just its rows.
         is_par = step.is_parallel
-        self.parallel_label.setVisible(is_par)
-        self.sub_list.setVisible(is_par)
-        self.sub_add_btn.setVisible(is_par)
-        self.sub_del_btn.setVisible(is_par)
+        self._parallel_card.setVisible(is_par)
         self.sub_list.clear()
         if is_par:
             for sub in step.sub_agents:
diff --git a/ui/co4e_tab.py b/ui/co4e_tab.py
index 27ad7ee..b829b89 100644
--- a/ui/co4e_tab.py
+++ b/ui/co4e_tab.py
@@ -34,6 +34,7 @@ from ..core.co4e_builtins import BUILTIN_AGENTS
 from ..core.co4e_run_manager import Co4ERunManager
 from ..core.worker import AgentWorker
 from ..i18n import on_language_changed, tr
+from ..theme import current_palette
 from .chat_view import ChatView
 from .co4e_canvas import CO4E_MIME, Co4ECanvas
 from .co4e_config_panel import StepConfigPanel
@@ -260,7 +261,7 @@ class Co4ETab(QWidget):
         root.addWidget(self._split)
 
         sidebar = self._build_sidebar()
-        sidebar.setMinimumWidth(210)
+        sidebar.setMinimumWidth(180)      # 210 pushed the whole tab past 1214px min
         self._split.addWidget(sidebar)
         self._split.addWidget(self._build_center())
         self.config = StepConfigPanel(ctx)
@@ -272,6 +273,19 @@ class Co4ETab(QWidget):
         self._config_collapsed = False
         self._config_expanded_w = 360
         self._split.addWidget(self._wrap_config())
+        from PySide6.QtCore import QTimer
+
+        from .widgets import narrow_guard
+        self._narrow_guard = narrow_guard(self, self._NARROW, self._apply_narrow_layout)
+        # Deferred one tick: the parent chain (and therefore window()) only
+        # exists after whoever is building this has finished adding it.
+        QTimer.singleShot(0, self._narrow_guard.attach)
+        # Start the sidebar wider than its 180px floor — at the floor the
+        # "Chạy nền" button and the flow names are cut off.
+        self._split.setSizes([230, 720, 360])
+        self._split.setStretchFactor(0, 0)
+        self._split.setStretchFactor(1, 1)
+        self._split.setStretchFactor(2, 0)
         self._split.setStretchFactor(0, 0)
         self._split.setStretchFactor(1, 1)
         self._split.setStretchFactor(2, 0)
@@ -306,6 +320,11 @@ class Co4ETab(QWidget):
                     self.flow_bar.setCurrentIndex(bar_idx)
                 self._reflect_active_run(wf.id)
                 return
+        # Without the strip there is nowhere to switch between open flows, so
+        # opening one REPLACES the one on the canvas (saved first, as the tab
+        # switch used to do). Runs already in progress are unaffected — they are
+        # tracked per flow id and keep going in the background.
+        self._close_other_flows()
         self._flows.append(wf)
         self.flow_bar.blockSignals(True)
         bar_idx = self.flow_bar.addTab(icon("flow"), wf.name or tr("co4e.untitled"))
@@ -317,13 +336,43 @@ class Co4ETab(QWidget):
             self.flow_bar.setCurrentIndex(bar_idx)
         self._reflect_active_run(wf.id)
 
+    def _close_other_flows(self) -> None:
+        """Leave the canvas empty of flows, saving whatever was on it.
+
+        Called before opening a flow, because the tab strip that used to hold
+        several at once is gone. Tab 0 (Runs) is never touched.
+        """
+        if not self._flows:
+            return
+        if 0 <= self._active_flow_idx < len(self._flows):
+            self._sync_wf_from_canvas()
+        self.flow_bar.blockSignals(True)
+        for idx in range(self.flow_bar.count() - 1, 0, -1):
+            self.flow_bar.removeTab(idx)
+        self.flow_bar.blockSignals(False)
+        self._flows.clear()
+        self._active_flow_idx = -1
+
+    def _show_runs(self, on: bool) -> None:
+        """Swap the centre between the flow editor and the Runs table.
+
+        This is where the pinned "Runs" tab went when the strip was removed —
+        same page, same table, reached from a toggle in the flow toolbar.
+        """
+        target = 0 if on else min(1, self.flow_bar.count() - 1)
+        if self.flow_bar.currentIndex() == target:
+            self._on_flow_tab_changed(target)          # already there → re-apply
+        else:
+            self.flow_bar.setCurrentIndex(target)
+
     def _on_flow_tab_changed(self, idx: int) -> None:
         # save the outgoing flow (active_flow_idx is a FLOWS-list index) first
         if 0 <= self._active_flow_idx < len(self._flows) and (self._active_flow_idx + 1) != idx:
             self._sync_wf_from_canvas()
-        if idx <= 0:                                   # the pinned Runs tab
+        if idx <= 0:                                   # the Runs page
             self._active_flow_idx = -1
             self.center_stack.setCurrentIndex(0)
+            self._sync_runs_toggle(True)
             self._refresh_runs()
             return
         flow_idx = idx - 1
@@ -331,8 +380,18 @@ class Co4ETab(QWidget):
             return
         self._active_flow_idx = flow_idx
         self.center_stack.setCurrentIndex(1)
+        self._sync_runs_toggle(False)
         self._apply_workflow(self._flows[flow_idx])
 
+    def _sync_runs_toggle(self, on: bool) -> None:
+        """Keep the Runs toggle showing which page is up, however it got there
+        (a double-click in the runs table also switches pages)."""
+        btn = getattr(self, "runs_btn", None)
+        if btn is not None and btn.isChecked() != on:
+            blocked = btn.blockSignals(True)
+            btn.setChecked(on)
+            btn.blockSignals(blocked)
+
     def _add_tab_close_button(self, idx: int) -> None:
         """Give a flow tab its own close button — a small ✕ placed by QTabBar on
         the tab's right side, vertically centered and INSIDE the tab (reliable
@@ -423,22 +482,47 @@ class Co4ETab(QWidget):
 
     # ---- sidebar ----------------------------------------------------------
     def _build_sidebar(self) -> QWidget:
-        self.sidebar = QTabWidget()
-        # Icon-only tabs share the full sidebar width equally (line up with the
-        # list below) via an equal-width tab bar — no left/right scroll. Colours
-        # come from theme.py (QTabBar#co4eSideTabs — transparent tabs + a subtle
-        # translucent selection with the theme text colour, like the app's lists).
-        self.sidebar.setTabBar(_EqualTabBar())
-        _tb = self.sidebar.tabBar()
-        _tb.setObjectName("co4eSideTabs")
-        _tb.setUsesScrollButtons(False)
-        _tb.setElideMode(Qt.ElideNone)
-        # Workflows
-        wf_page = QWidget(); wl = QVBoxLayout(wf_page)
-        wl.setContentsMargins(6, 6, 6, 6)
+        # ONE COLUMN, four named sections — no icon tabs. Every list is on screen
+        # at once, so "what can I drag onto the canvas" is answered by looking
+        # rather than by clicking through three unlabeled tabs.
+        # A vertical splitter, not a fixed stack: on a short window four stacked
+        # lists otherwise squeeze down to one visible row each. The splitter
+        # hands out the available height by weight and lets the user re-balance
+        # it by dragging; each list keeps a small minimum so none disappears.
+        self._sections: dict = {}
+        self.sidebar = QWidget()
+        outer_col = QVBoxLayout(self.sidebar)
+        outer_col.setContentsMargins(6, 6, 6, 6)
+        outer_col.setSpacing(0)
+        self.side_split = QSplitter(Qt.Vertical)
+        self.side_split.setChildrenCollapsible(False)
+        self.side_split.setHandleWidth(8)
+        outer_col.addWidget(self.side_split, 1)
+
+        class _Col:
+            """Adapter so the section builders below read the same as before."""
+
+            def __init__(self, split):
+                self._split = split
+
+            def addWidget(self, w, stretch=1):
+                self._split.addWidget(w)
+                self._split.setStretchFactor(self._split.count() - 1, stretch)
+
+        col = _Col(self.side_split)
+
+        # --- WORKFLOWS ---------------------------------------------------
+        self.wf_new_btn = QPushButton(tr("co4e.new"))
+        self.wf_new_btn.setIcon(icon("plus"))
+        self.wf_new_btn.setToolTip(tr("co4e.tt_new_wf"))
+        self.wf_new_btn.setObjectName("co4eSectionAction")
+        self.wf_new_btn.setFlat(True)
+        self.wf_new_btn.setCursor(Qt.PointingHandCursor)
+        self.wf_new_btn.clicked.connect(self._new_workflow)
+        wf_body = QWidget(); wl = QVBoxLayout(wf_body)
+        wl.setContentsMargins(0, 0, 0, 0); wl.setSpacing(4)
         # Draggable: drag a flow onto the canvas to merge it in (Nova-style);
-        # double-click loads it into an empty canvas. (The old always-on hint
-        # label was removed to give the flow list more room; it's a tooltip now.)
+        # double-click loads it onto the canvas.
         self.wf_list = _PaletteList(payload_role=Qt.UserRole + 2)
         self.wf_list.setToolTip(tr("co4e.drag_hint"))
         self.wf_list.itemDoubleClicked.connect(self._load_selected_workflow)
@@ -446,57 +530,157 @@ class Co4ETab(QWidget):
         self.wf_list.customContextMenuRequested.connect(self._wf_context_menu)
         wl.addWidget(self.wf_list, 1)
         wf_btns = QHBoxLayout(); wf_btns.setSpacing(4)
-        # "New flow" moved to the "+" button on the flow tab strip (browser-style).
-        # "Load selected flow to canvas" button removed — double-click a flow in
-        # the list (or drag it onto the canvas) to open it; the explicit button
-        # was redundant.
         self.wf_edit_btn = self._icon_btn("edit", "co4e.tt_edit_wf", self._edit_selected_workflow)
         self.wf_dup_btn = self._icon_btn("branch", "co4e.tt_dup_wf", self._duplicate_selected_workflow)
         self.wf_del_btn = self._icon_btn("trash", "co4e.tt_del_wf", self._delete_selected_workflow)
         for b in (self.wf_edit_btn, self.wf_dup_btn, self.wf_del_btn):
             wf_btns.addWidget(b)
+        wf_btns.addStretch(1)
+        wl.addLayout(wf_btns)
+        # Its own row: sharing one line with the three icon buttons cut "Chạy
+        # nền" down to "Chạ" as soon as the sidebar hit its narrow width.
         self.wf_runbg_btn = QPushButton(tr("co4e.run_bg")); self.wf_runbg_btn.setIcon(icon("play"))
         self.wf_runbg_btn.setToolTip(tr("co4e.tt_run_bg"))
         self.wf_runbg_btn.clicked.connect(self._run_selected_in_background)
-        wf_btns.addWidget(self.wf_runbg_btn, 1)
-        wl.addLayout(wf_btns)
-        # (The "Running flows" list moved out of the sidebar into the pinned
-        #  "Runs" tab at the front of the flow tabs — see _build_runs_page.)
-        # Icon-only tabs keep the sidebar narrow; the name is a tooltip.
-        self.sidebar.addTab(wf_page, icon("flow"), "")
-        self.sidebar.setTabToolTip(0, tr("co4e.tab_workflows"))
+        wl.addWidget(self.wf_runbg_btn)
+        col.addWidget(self._section("co4e.tab_workflows", wf_body, self.wf_new_btn), 3)
 
-        # Agents (drag onto canvas; CRUD custom)
-        ag_page = QWidget(); al = QVBoxLayout(ag_page)
-        al.setContentsMargins(6, 6, 6, 6)
+        # --- AGENTS ------------------------------------------------------
+        self.ag_new_btn = QPushButton(tr("co4e.new")); self.ag_new_btn.setIcon(icon("plus"))
+        self.ag_new_btn.setToolTip(tr("co4e.tt_new_agent"))
+        self.ag_new_btn.setObjectName("co4eSectionAction")
+        self.ag_new_btn.setFlat(True)
+        self.ag_new_btn.setCursor(Qt.PointingHandCursor)
+        self.ag_new_btn.clicked.connect(self._new_agent)
+        ag_body = QWidget(); al = QVBoxLayout(ag_body)
+        al.setContentsMargins(0, 0, 0, 0); al.setSpacing(4)
         self.agent_list = _PaletteList()
         al.addWidget(self.agent_list, 1)
         ag_btns = QHBoxLayout(); ag_btns.setSpacing(4)
-        self.ag_new_btn = QPushButton(tr("co4e.new")); self.ag_new_btn.setIcon(icon("plus"))
-        self.ag_new_btn.setToolTip(tr("co4e.tt_new_agent"))
-        self.ag_new_btn.clicked.connect(self._new_agent)
+        # Edit/delete act on the selected row, so they stay with the list.
         self.ag_edit_btn = self._icon_btn("edit", "co4e.tt_edit_agent", self._edit_agent)
         self.ag_del_btn = self._icon_btn("trash", "co4e.tt_del_agent", self._delete_agent)
-        ag_btns.addWidget(self.ag_new_btn, 1)
         ag_btns.addWidget(self.ag_edit_btn)
         ag_btns.addWidget(self.ag_del_btn)
+        ag_btns.addStretch(1)
         al.addLayout(ag_btns)
-        self.sidebar.addTab(ag_page, icon("robot"), "")
-        self.sidebar.setTabToolTip(1, tr("co4e.tab_agents"))
+        col.addWidget(self._section("co4e.tab_agents", ag_body, self.ag_new_btn), 3)
 
-        # Skills (drag onto canvas; manage via existing Skills manager button)
-        sk_page = QWidget(); sl = QVBoxLayout(sk_page)
-        sl.setContentsMargins(6, 6, 6, 6)
-        self.skill_list = _PaletteList()
-        sl.addWidget(self.skill_list, 1)
+        # --- SKILLS ------------------------------------------------------
         self.sk_manage_btn = QPushButton(tr("co4e.manage_skills"))
         self.sk_manage_btn.setToolTip(tr("co4e.tt_manage_skills"))
+        self.sk_manage_btn.setObjectName("co4eSectionAction")
+        self.sk_manage_btn.setFlat(True)
+        self.sk_manage_btn.setCursor(Qt.PointingHandCursor)
         self.sk_manage_btn.clicked.connect(self._manage_skills)
-        sl.addWidget(self.sk_manage_btn)
-        self.sidebar.addTab(sk_page, icon("sparkle"), "")
-        self.sidebar.setTabToolTip(2, tr("co4e.tab_skills"))
+        sk_body = QWidget(); sl = QVBoxLayout(sk_body)
+        sl.setContentsMargins(0, 0, 0, 0); sl.setSpacing(4)
+        self.skill_list = _PaletteList()
+        sl.addWidget(self.skill_list, 1)
+        col.addWidget(self._section("co4e.tab_skills", sk_body, self.sk_manage_btn), 2)
+
+        # --- RUNS --------------------------------------------------------
+        # A short, always-visible view of the same runs the Flow Status page
+        # tables in full. Clicking one opens that page with the run selected.
+        # Icon only: the heading beside it already reads FLOW STATUS, and the
+        # label was long enough to be cut in half in a narrow sidebar.
+        self.runs_more_btn = QPushButton()
+        self.runs_more_btn.setIcon(icon("chevron-right"))
+        self.runs_more_btn.setFixedWidth(30)
+        self.runs_more_btn.setFlat(True)
+        self.runs_more_btn.setToolTip(tr("co4e.tt_runs_tab"))
+        self.runs_more_btn.clicked.connect(lambda: self._show_runs(True))
+        runs_body = QWidget(); rl = QVBoxLayout(runs_body)
+        rl.setContentsMargins(0, 0, 0, 0); rl.setSpacing(4)
+        self.runs_side_list = QListWidget()
+        self.runs_side_list.setToolTip(tr("co4e.tt_runs_tab"))
+        self.runs_side_list.itemClicked.connect(self._on_side_run_clicked)
+        rl.addWidget(self.runs_side_list, 1)
+        col.addWidget(self._section("co4e.runs_tab", runs_body, self.runs_more_btn), 2)
+        # Small enough that all four still fit on a laptop screen, large enough
+        # that each shows more than a single row.
+        for lst in (self.wf_list, self.agent_list, self.skill_list, self.runs_side_list):
+            lst.setMinimumHeight(56)
         return self.sidebar
 
+    _SIDE_RUNS = 6
+
+    def _refresh_side_runs(self) -> None:
+        """Mirror the newest runs into the sidebar's short list."""
+        lst = getattr(self, "runs_side_list", None)
+        if lst is None:
+            return
+        dots = {"running": "▶", "done": "✓", "error": "✕", "stopped": "■"}
+        lst.clear()
+        for h in list(reversed(self.manager.runs()))[:self._SIDE_RUNS]:
+            it = QListWidgetItem(f"{dots.get(h.status, '•')} {h.name}"
+                                 f"   {h.progress_text()}")
+            it.setData(Qt.UserRole, h.id)
+            it.setToolTip(f"{h.name} · {tr('co4e.status.' + h.status)} · {h.created_at or '-'}")
+            lst.addItem(it)
+
+    def _on_side_run_clicked(self, item) -> None:
+        """Open the full Flow Status page with this run selected."""
+        run_id = item.data(Qt.UserRole)
+        self._show_runs(True)
+        for r in range(self.runs_table.rowCount()):
+            cell = self.runs_table.item(r, 0)
+            if cell is not None and cell.data(Qt.UserRole) == run_id:
+                self.runs_table.setCurrentCell(r, 0)
+                break
+
+    def _section(self, key: str, body: QWidget, action: QPushButton | None = None,
+                 stretch: int = 1) -> QWidget:
+        """One named, foldable section of the sidebar column.
+
+        Replaces the three icon-only tabs: all the lists are visible at once
+        (WORKFLOWS · AGENTS · SKILLS · runs), each under its own heading with the
+        action that belongs to it. Clicking the heading folds the section, so a
+        narrow window can still get to everything.
+        """
+        box = QWidget()
+        v = QVBoxLayout(box)
+        v.setContentsMargins(0, 0, 0, 0)
+        v.setSpacing(2)
+
+        row = QHBoxLayout()
+        row.setContentsMargins(0, 0, 0, 0)
+        row.setSpacing(4)
+        head = QPushButton()
+        head.setObjectName("co4eSectionHdr")
+        head.setCheckable(True)
+        head.setChecked(True)
+        head.setCursor(Qt.PointingHandCursor)
+        head.setFlat(True)
+        head.toggled.connect(lambda on, w=body, b=box: self._fold_section(key, w, b, on))
+        row.addWidget(head, 1)
+        if action is not None:
+            row.addWidget(action, 0)
+        v.addLayout(row)
+        v.addWidget(body, 1)
+
+        self._sections[key] = (head, body, stretch)
+        self._sync_section_arrow(key)
+        return box
+
+    def _fold_section(self, key: str, body: QWidget, box: QWidget, on: bool) -> None:
+        """Fold/unfold a section AND give its height back to the others.
+
+        Inside a splitter, hiding the body is not enough — the pane keeps its
+        share of the height, so folding would free nothing. Clamping the whole
+        section to its header height makes the splitter re-deal the space.
+        """
+        body.setVisible(on)
+        if on:
+            box.setMaximumHeight(16777215)
+        else:
+            box.setMaximumHeight(box.layout().itemAt(0).sizeHint().height() + 4)
+        self._sync_section_arrow(key)
+
+    def _sync_section_arrow(self, key: str) -> None:
+        head, _body, _s = self._sections[key]
+        head.setText(("▾ " if head.isChecked() else "▸ ") + tr(key).upper())
+
     def _icon_btn(self, icon_name: str, tip_key: str, slot) -> QPushButton:
         b = QPushButton(); b.setIcon(icon(icon_name)); b.setToolTip(tr(tip_key))
         b.setFixedWidth(34)
@@ -564,13 +748,14 @@ class Co4ETab(QWidget):
         # Tab colours + layout live in theme.py (QTabBar#flowTabs — theme-aware,
         # flush, centred). Here we only style the per-tab close (✕) button, which
         # QTabBar places centred on the tab's right (see _add_tab_close_button).
+        _fp = current_palette()
         self.flow_bar.setStyleSheet(
             "QPushButton#flowTabClose {"
-            " border: none; background: transparent; color: #8FB2D4;"
+            f" border: none; background: transparent; color: {_fp.text_muted};"
             " font-size: 13px; font-weight: bold; padding: 0; margin: 0;"
-            " border-radius: 8px; }"
+            f" border-radius: {_fp.radius_sm}px; }}"
             "QPushButton#flowTabClose:hover {"
-            " background: rgba(229,72,77,0.18); color: #E5484D; }")
+            f" background: {_fp.danger_soft}; color: {_fp.danger}; }}")
         runs_idx = self.flow_bar.addTab(icon("monitoring"), tr("co4e.runs_tab"))  # 0 = Runs
         self.flow_bar.setTabButton(runs_idx, QTabBar.RightSide, None)             # pinned
         self.flow_bar.currentChanged.connect(self._on_flow_tab_changed)
@@ -606,15 +791,16 @@ class Co4ETab(QWidget):
             "QScrollArea#flowTabScroll { background: transparent; border: none; }"
             "QScrollArea#flowTabScroll QScrollBar:horizontal { height: 8px; background: transparent; margin: 0; }"
             "QScrollArea#flowTabScroll QScrollBar::handle:horizontal {"
-            " background: rgba(143,178,212,0.45); border-radius: 4px; min-width: 30px; }"
+            f" background: {current_palette().scroll_handle}; border-radius: 4px; min-width: 30px; }}"
             "QScrollArea#flowTabScroll QScrollBar::add-line:horizontal,"
             "QScrollArea#flowTabScroll QScrollBar::sub-line:horizontal { width: 0; height: 0; }")
-        flow_row = QHBoxLayout()
-        flow_row.setContentsMargins(0, 0, 0, 0)
-        flow_row.setSpacing(3)          # same gap as between tabs → looks like one strip
-        flow_row.addWidget(self.flow_scroll, 1)
-        flow_row.addWidget(self.flow_add_btn, 0, Qt.AlignVCenter)
-        lay.addLayout(flow_row)
+        # The strip itself is NOT shown any more (see class docstring): flows are
+        # picked from the WORKFLOWS list on the left, one open at a time. The
+        # QTabBar stays alive off-screen as the index that maps flow ↔ canvas —
+        # every open/close/rename path already goes through it — but the user
+        # never sees or drives it.
+        self.flow_scroll.setVisible(False)
+        self.flow_add_btn.setVisible(False)
 
         # Content switches between the Runs table (tab 0) and the flow editor.
         self.center_stack = QStackedWidget()
@@ -650,6 +836,14 @@ class Co4ETab(QWidget):
         self.run_btn.setToolTip(tr("co4e.tt_run"))
         self.run_btn.clicked.connect(self._on_run_clicked)
 
+        # The pinned "Runs" tab lost its strip, so it becomes a toggle here —
+        # one click to the run table and one click back, from either page.
+        self.runs_btn = QPushButton(tr("co4e.runs_tab"))
+        self.runs_btn.setIcon(icon("monitoring"))
+        self.runs_btn.setCheckable(True)
+        self.runs_btn.setToolTip(tr("co4e.tt_runs_tab"))
+        self.runs_btn.toggled.connect(self._show_runs)
+
         bar.addWidget(QLabel(tr("co4e.flow_name")))
         bar.addWidget(self.name_edit, 1)
         bar.addWidget(self.add_step_btn)
@@ -657,6 +851,7 @@ class Co4ETab(QWidget):
         bar.addWidget(self.save_tpl_btn)
         bar.addWidget(self.mode_combo)
         bar.addWidget(self.run_btn)
+        bar.addWidget(self.runs_btn)
         lay.addLayout(bar)
 
         self.canvas = Co4ECanvas()
@@ -683,6 +878,13 @@ class Co4ETab(QWidget):
         w = QWidget()
         v = QVBoxLayout(w)
         hdr = QHBoxLayout()
+        # The Runs page covers the flow toolbar, so it carries its own way back —
+        # otherwise the toggle that opened it is off screen.
+        self.runs_back_btn = QPushButton(tr("co4e.back_to_flow"))
+        self.runs_back_btn.setIcon(icon("chevron-left"))
+        self.runs_back_btn.setToolTip(tr("co4e.tt_back_to_flow"))
+        self.runs_back_btn.clicked.connect(lambda: self._show_runs(False))
+        hdr.addWidget(self.runs_back_btn)
         self.runs_title = QLabel(tr("co4e.running_flows"))
         self.runs_title.setObjectName("hint")
         hdr.addWidget(self.runs_title)
@@ -762,6 +964,29 @@ class Co4ETab(QWidget):
         self.config_container = container
         return container
 
+    # Below this window width the three panes (rail + 180 sidebar + canvas +
+    # 300 config) leave the canvas too little to draw a flow in, and the config
+    # fields start clipping instead of shrinking. Measured with
+    # tools/check_responsive.py — Co4E gets the full content area (no project or
+    # history pane beside it), so the threshold is about its own screen only.
+    _NARROW = 1300
+
+    def showEvent(self, e):  # noqa: N802 - Qt override
+        super().showEvent(e)
+        self._narrow_guard.attach()
+
+    def _apply_narrow_layout(self, narrow: bool) -> None:  # noqa: D401
+        """Fold the step-config panel on a narrow window, restore it when there
+        is room again.
+
+        Attached from __init__ rather than only on show: this page sits inside a
+        QTabWidget, whose minimum width is the MAXIMUM over all its pages —
+        including hidden ones. While Co4E sat unfolded in the background it was
+        forcing Project and Cowork to be ~1180px wide too.
+        """
+        if narrow != self._config_collapsed:
+            self._toggle_config()
+
     def _toggle_config(self) -> None:
         self._config_collapsed = not self._config_collapsed
         v = self._cfg_vlayout
@@ -785,6 +1010,11 @@ class Co4ETab(QWidget):
                 sizes[2] = 34
                 sizes[1] = max(200, sizes[1] + freed)
                 self._split.setSizes(sizes)
+            # Without this the splitter keeps reporting the OLD minimum width,
+            # and since a QTabWidget's minimum is the maximum over all its pages
+            # — hidden ones included — Co4E would go on forcing Project and
+            # Cowork to be 1180px wide even while folded here.
+            self._refresh_min_width()
         else:
             v.removeItem(self._cfg_top_spacer)
             v.removeItem(self._cfg_bot_spacer)
@@ -800,6 +1030,14 @@ class Co4ETab(QWidget):
                 sizes[2] = want
                 sizes[1] = max(200, sizes[1] - delta)
                 self._split.setSizes(sizes)
+            self._refresh_min_width()
+
+    def _refresh_min_width(self) -> None:
+        """Make the splitter (and everything above it) re-read its minimum."""
+        self.config_container.updateGeometry()
+        self._split.refresh()
+        self._split.updateGeometry()
+        self.updateGeometry()
 
     def _build_canvas_overlay(self) -> None:
         """Zoom +/− and Fit as a small floating control at the canvas's
@@ -861,7 +1099,8 @@ class Co4ETab(QWidget):
         # $cost) at the bottom, exactly like Cowork's conversation total.
         self._usage_total_lbl = QLabel("")
         self._usage_total_lbl.setObjectName("hint")
-        self._usage_total_lbl.setStyleSheet("color: rgba(140,146,152,0.9); font-size: 11px;")
+        self._usage_total_lbl.setStyleSheet(
+            f"color: {current_palette().text_faint}; font-size: 11px;")
         crow.addWidget(self._usage_total_lbl)
         _inp = QWidget(); row = QHBoxLayout(_inp); row.setContentsMargins(0, 0, 0, 0)
         self.chat_input = _ChatInput()
@@ -969,7 +1208,14 @@ class Co4ETab(QWidget):
         self._refresh_usage_total()              # show THIS flow's token/cost total
 
     def _new_workflow(self) -> None:
-        self._open_flow(co4e.new_workflow(tr("co4e.untitled")))   # opens a new tab
+        self._open_flow(co4e.new_workflow(tr("co4e.untitled")))
+        # Pressing this while the canvas already holds an empty untitled flow
+        # produced an identical empty untitled flow — correct, and completely
+        # invisible, so the button read as broken. Say what happened and put the
+        # cursor where the next thing to do is: naming it.
+        self.name_edit.setFocus()
+        self.name_edit.selectAll()
+        self.status_message.emit(tr("co4e.new_flow_ready"))
 
     def _selected_wf(self) -> Optional[co4e.Workflow]:
         """Materialise the selected saved-flow row into a Workflow."""
@@ -1331,8 +1577,9 @@ class Co4ETab(QWidget):
         # Rebuild the always-fresh Runs table from the manager (single source of truth).
         if not hasattr(self, "runs_table"):
             return
-        color = {"running": "#48CAE4", "done": "#48D9A0", "error": "#E5484D",
-                 "stopped": "#8FB2D4"}
+        p = current_palette()
+        color = {"running": p.accent, "done": p.success, "error": p.danger,
+                 "stopped": p.text_muted}
         dots = {"running": "▶", "done": "✓", "error": "✕", "stopped": "■"}
         # Most-recent run at the TOP, oldest at the bottom (manager keeps runs in
         # chronological insertion order, so reverse it for display).
@@ -1352,16 +1599,22 @@ class Co4ETab(QWidget):
                 if c == 0:
                     it.setData(Qt.UserRole, h.id)
                 if c == 1:
-                    it.setForeground(_qcolor(color.get(h.status, "#E0F0FF")))
+                    it.setForeground(_qcolor(color.get(h.status, p.text)))
                 t.setItem(r, c, it)
             if h.id == sel_id:
                 sel_row = r
         if sel_row >= 0:
             t.setCurrentCell(sel_row, 0)
-        # reflect the active run count in the pinned Runs tab title
+        # The sidebar's short run list is the same data — refresh it together.
+        self._refresh_side_runs()
+        # Active-run count, on the sidebar heading now that the tab strip is gone.
+        n = self.manager.active_count()
+        label = tr("co4e.runs_tab_n", n=n) if n else tr("co4e.runs_tab")
         if hasattr(self, "flow_bar"):
-            n = self.manager.active_count()
-            self.flow_bar.setTabText(0, tr("co4e.runs_tab_n", n=n) if n else tr("co4e.runs_tab"))
+            self.flow_bar.setTabText(0, label)
+        head = (self._sections.get("co4e.runs_tab") or (None,))[0]
+        if head is not None:
+            head.setText(("▾ " if head.isChecked() else "▸ ") + label.upper())
 
     def _stop_selected_run(self) -> None:
         row = self.runs_table.currentRow()
@@ -1502,7 +1755,9 @@ class Co4ETab(QWidget):
             return
         self.manager.start(wf, skill_map=self._skill_map(),
                            plan_mode=(self._current_mode() == "plan"))
-        self.sidebar.setCurrentIndex(0)
+        # Used to jump the sidebar back to the Workflows tab; with one column
+        # there is nothing to jump to — show the run that just started instead.
+        self._refresh_side_runs()
         self.status_message.emit(tr("co4e.bg_started", name=wf.name))
 
     def _wf_by_id(self, wf_id: str) -> Optional[co4e.Workflow]:
@@ -1803,9 +2058,15 @@ class Co4ETab(QWidget):
 
     # ---- i18n -------------------------------------------------------------
     def _retranslate(self) -> None:
-        self.sidebar.setTabToolTip(0, tr("co4e.tab_workflows"))
-        self.sidebar.setTabToolTip(1, tr("co4e.tab_agents"))
-        self.sidebar.setTabToolTip(2, tr("co4e.tab_skills"))
+        for key in self._sections:
+            self._sync_section_arrow(key)
+        self.runs_more_btn.setToolTip(tr("co4e.tt_runs_tab"))
+        self.wf_new_btn.setText(tr("co4e.new"))
+        self.wf_new_btn.setToolTip(tr("co4e.tt_new_wf"))
+        self.runs_btn.setText(tr("co4e.runs_tab"))
+        self.runs_btn.setToolTip(tr("co4e.tt_runs_tab"))
+        self.runs_back_btn.setText(tr("co4e.back_to_flow"))
+        self.runs_back_btn.setToolTip(tr("co4e.tt_back_to_flow"))
         self.runs_title.setText(tr("co4e.running_flows"))
         self.run_stop_btn.setText(tr("co4e.stop"))
         self.run_rename_btn.setText(tr("co4e.rename_run"))
diff --git a/ui/composer.py b/ui/composer.py
index 205d7f0..0f41822 100644
--- a/ui/composer.py
+++ b/ui/composer.py
@@ -20,6 +20,7 @@ from PySide6.QtWidgets import (
 
 from ..config import CONFIG_DIR
 from ..i18n import on_language_changed, tr
+from ..theme import current_palette
 from .icons import icon, IconLabel
 
 
@@ -451,7 +452,12 @@ class Composer(QWidget):
         self.stop_btn.setObjectName("danger")
         self.stop_btn.setVisible(False)
         self.stop_btn.clicked.connect(self.stop_requested.emit)
+        # Attach pinned to the input's top edge, Send (and Stop, once a turn
+        # is running) pinned to its bottom edge — the gap between them is
+        # absorbed by this stretch instead of splitting evenly above/below
+        # the whole button column, which is what centering it did before.
         btns.addWidget(self.attach_btn)
+        btns.addStretch(1)
         btns.addWidget(self.send_btn)
         btns.addWidget(self.stop_btn)
         row.addLayout(btns)
@@ -459,11 +465,18 @@ class Composer(QWidget):
 
         # bottom row: left slot (e.g. Cowork's output-folder picker) — stretch —
         # right slot (e.g. Plan/Act toggle, the per-tab Agent combo on Code/Cowork)
+        # Its own strip UNDER the typing box, styled as a status line rather
+        # than a second toolbar: the design asks for the typing area to be just
+        # input · attach · send, with agent / routing / usage / folder reading
+        # as status underneath. They stay interactive — only quieter.
         self._bottom_left_count = 0
-        self.extra_row = QHBoxLayout()
-        self.extra_row.setContentsMargins(0, 0, 0, 0)
+        self.extra_bar = QWidget()
+        self.extra_bar.setObjectName("composerStatus")
+        self.extra_row = QHBoxLayout(self.extra_bar)
+        self.extra_row.setContentsMargins(2, 2, 2, 0)
+        self.extra_row.setSpacing(6)
         self.extra_row.addStretch(1)
-        root.addLayout(self.extra_row)
+        root.addWidget(self.extra_bar)
 
         on_language_changed(self._retranslate)
 
@@ -583,7 +596,10 @@ class Composer(QWidget):
         for p in self._attachments:
             item = QListWidgetItem()
             row = QWidget()
-            row.setStyleSheet("background: rgba(140,146,152,0.18); border-radius: 6px;")
+            _cp = current_palette()
+            row.setStyleSheet(
+                f"background: {_cp.surface_raised}; border: 1px solid {_cp.border};"
+                f" border-radius: {_cp.radius_sm}px;")
             h = QHBoxLayout(row)
             h.setContentsMargins(8, 2, 4, 2)
             h.setSpacing(4)
diff --git a/ui/connectors_panel.py b/ui/connectors_panel.py
index 1c9fd4d..77f9bd7 100644
--- a/ui/connectors_panel.py
+++ b/ui/connectors_panel.py
@@ -1,18 +1,20 @@
 """Connectors (MCP / REST API) management — the setup UI.
 
-Lives in Monitoring → Tools → "Connector" sub-tab (moved out of Settings). A
-tree of the four categories (CAD / CAE / MS365 / Other); each connector has an
-Enabled checkbox and can be added / edited / deleted (MCP-stdio or REST-API,
-via ExtConnectorEditDialog). Built-in connectors (MS365 OneDrive / SharePoint,
-and Jira under "Other") appear as rows in the tree with their checkbox bound to
-config; double-clicking one opens its setup — nothing spills outside the tree.
+Lives in Monitoring → Tools → "Connector" sub-tab (moved out of Settings).
+Grouped by the four real categories (CAD / CAE / MS365 / Other): each is a
+header (icon + name + the software it covers) above a left-aligned row of
+cards, one per real connector, each with its own on/off switch — user-added
+connectors (MCP-stdio or REST-API, via ExtConnectorEditDialog) also get
+✎ Sửa/🗑 Xóa; the built-in ones (MS365 OneDrive/SharePoint, Jira under
+"Other") only get what they actually support (Jira: ✎ Sửa only, opens its own
+setup dialog; OneDrive/SharePoint: neither, they only toggle).
 """
 from __future__ import annotations
 
 from PySide6.QtCore import Qt
 from PySide6.QtWidgets import (
-    QCheckBox, QDialog, QFormLayout, QHBoxLayout, QLabel, QLineEdit, QMessageBox,
-    QPushButton, QTreeWidget, QTreeWidgetItem, QVBoxLayout, QWidget,
+    QDialog, QFormLayout, QFrame, QHBoxLayout, QLabel, QLineEdit, QMessageBox,
+    QPushButton, QScrollArea, QVBoxLayout, QWidget,
 )
 
 from ..core.ext_connectors import CATEGORIES as EXT_CATEGORIES
@@ -21,6 +23,7 @@ from ..i18n import on_language_changed, tr
 from ..state import AppContext
 from .ext_connector_dialog import ExtConnectorEditDialog
 from .icons import icon
+from .widgets import FlowLayout, ToggleSwitch, enable_height_for_width, style_card
 
 
 class JiraConnectDialog(QDialog):
@@ -130,174 +133,219 @@ class ConnectorsPanel(QWidget):
         # Master switch: connect to external connectors at all (default ON).
         # Off = the agent connects to NO external connector/MCP (see
         # AppContext.build_mcp_tools), regardless of the per-connector checks below.
-        self.connect_external_chk = QCheckBox(tr("connectors.connect_external"))
-        self.connect_external_chk.setChecked(self.ctx.config.connect_external)
-        self.connect_external_chk.setToolTip(tr("connectors.connect_external_tooltip"))
-        self.connect_external_chk.toggled.connect(self._on_connect_external_toggled)
-        lay.addWidget(self.connect_external_chk)
+        self.connect_external_sw = ToggleSwitch(tr("connectors.connect_external"))
+        self.connect_external_sw.setChecked(self.ctx.config.connect_external)
+        self.connect_external_sw.setToolTip(tr("connectors.connect_external_tooltip"))
+        self.connect_external_sw.toggled.connect(self._on_connect_external_toggled)
+        lay.addWidget(self.connect_external_sw)
 
         hint = QLabel(tr("settings.ext_hint"))
         hint.setObjectName("hint")
         hint.setWordWrap(True)
         lay.addWidget(hint)
 
-        self.ext_tree = QTreeWidget()
-        self.ext_tree.setHeaderHidden(True)
-        self.ext_tree.itemChanged.connect(self._on_ext_check)
-        self.ext_tree.itemDoubleClicked.connect(lambda *_: self._ext_edit())
-        lay.addWidget(self.ext_tree, 1)
+        # Each category (CAD/CAE/MS365/Other) is a header + a left-aligned,
+        # wrapping row of cards — one per real connector — instead of a tree
+        # the admin had to expand to see what was inside.
+        self._cat_scroll = QScrollArea()
+        self._cat_scroll.setWidgetResizable(True)
+        self._cat_scroll.setFrameShape(QScrollArea.NoFrame)
+        cat_host = QWidget()
+        enable_height_for_width(cat_host)  # holds several height-for-width sections — see FlowLayout
+        self._cat_lay = QVBoxLayout(cat_host)
+        self._cat_lay.setContentsMargins(0, 4, 0, 4)
+        self._cat_lay.setSpacing(10)
+        self._cat_scroll.setWidget(cat_host)
+        lay.addWidget(self._cat_scroll, 1)
 
-        self.dbl_hint = QLabel(tr("connectors.dbl_configure"))
-        self.dbl_hint.setObjectName("hint")
-        lay.addWidget(self.dbl_hint)
-
-        row = QHBoxLayout()
         self.add_btn = QPushButton(tr("settings.ext_add_btn"))
         self.add_btn.setIcon(icon("plus"))
         self.add_btn.setObjectName("primary")
+        self.add_btn.setCursor(Qt.PointingHandCursor)
         self.add_btn.clicked.connect(self._ext_add)
-        self.edit_btn = QPushButton(tr("settings.ext_edit_btn"))
-        self.edit_btn.setIcon(icon("edit"))
-        self.edit_btn.clicked.connect(self._ext_edit)
-        self.del_btn = QPushButton(tr("settings.ext_delete_btn"))
-        self.del_btn.setIcon(icon("trash"))
-        self.del_btn.clicked.connect(self._ext_delete)
-        row.addWidget(self.add_btn)
-        row.addWidget(self.edit_btn)
-        row.addWidget(self.del_btn)
-        row.addStretch(1)
-        lay.addLayout(row)
+        add_row = QHBoxLayout()
+        add_row.addWidget(self.add_btn)
+        add_row.addStretch(1)
+        lay.addLayout(add_row)
 
         self.ms365_local_status = QLabel()
         self.ms365_local_status.setObjectName("hint")
         self.ms365_local_status.setWordWrap(True)
         lay.addWidget(self.ms365_local_status)
 
+        # on_language_changed() below already invokes _retranslate() once
+        # immediately (see i18n.py), which itself calls _reload_connectors() —
+        # calling it again here would rebuild the category cards twice
+        # back-to-back with no event-loop turn in between, so the first pass's
+        # widgets are only QUEUED for deleteLater() (not yet gone) when the
+        # second pass adds new ones on top: the two rows visually overlap
+        # (the exact bug agents_admin_tab.py hit the same way).
         self._refresh_ms365_local_status()
-        self._reload_ext_tree()
         on_language_changed(self._retranslate)
 
     # ---- rendering ------------------------------------------------------------
-    def _reload_ext_tree(self) -> None:
-        self.ext_tree.blockSignals(True)
-        self.ext_tree.clear()
-        ext = self.ctx.config.ext_connectors
+    def _clear_categories(self) -> None:
+        while self._cat_lay.count():
+            item = self._cat_lay.takeAt(0)
+            w = item.widget()
+            if w is not None:
+                w.deleteLater()
+
+    def _reload_connectors(self) -> None:
+        self._clear_categories()
         for cat in EXT_CATEGORIES:
-            cat_item = QTreeWidgetItem([self._EXT_CATEGORY_LABELS.get(cat, cat)])
-            cat_item.setIcon(0, icon(self._EXT_CATEGORY_ICONS.get(cat, "plug")))
-            cat_item.setFlags(Qt.ItemIsEnabled | Qt.ItemIsSelectable)
-            cat_item.setData(0, Qt.UserRole, ("category", cat))
-            self.ext_tree.addTopLevelItem(cat_item)
-            if cat == "ms365":
-                conns = self.ctx.config.ms365.get("connectors", {})
-                for key, label in self._MS365_BUILTIN_LABELS.items():
-                    b = QTreeWidgetItem([f"{label} — {tr('ext.mode_builtin')}"])
-                    b.setFlags(b.flags() | Qt.ItemIsUserCheckable)
-                    b.setCheckState(0, Qt.Checked if conns.get(key) else Qt.Unchecked)
-                    b.setData(0, Qt.UserRole, ("ms365_builtin", "ms365", key))
-                    cat_item.addChild(b)
-            for idx, entry in enumerate(ext.get(cat, [])):
-                mode_label = tr("ext.mode_mcp") if entry.get("mode") == "mcp_stdio" else tr("ext.mode_rest")
-                child = QTreeWidgetItem([f"{entry.get('name', '')} — {mode_label}"])
-                child.setFlags(child.flags() | Qt.ItemIsUserCheckable)
-                child.setCheckState(0, Qt.Checked if entry.get("enabled") else Qt.Unchecked)
-                child.setData(0, Qt.UserRole, ("connector", cat, idx))
-                cat_item.addChild(child)
-            if cat == "other":
-                # Jira is a built-in "Other" connector (like OneDrive under MS365):
-                # checkbox = enabled; double-click opens its minimal setup dialog.
-                jira = self.ctx.config.data.get("jira", {})
-                configured = bool(jira.get("base_url") and jira.get("email")
-                                  and jira.get("api_token"))
-                jstate = tr("connectors.jira_connected") if configured else tr("connectors.jira_not_set")
-                jrow = QTreeWidgetItem([f"Jira — {tr('ext.mode_builtin')} · {jstate}"])
-                jrow.setIcon(0, icon("link"))
-                jrow.setFlags(jrow.flags() | Qt.ItemIsUserCheckable)
-                on = configured and jira.get("enabled", True)
-                jrow.setCheckState(0, Qt.Checked if on else Qt.Unchecked)
-                jrow.setToolTip(0, tr("connectors.jira_setup_hint"))
-                jrow.setData(0, Qt.UserRole, ("jira_builtin", "other"))
-                cat_item.addChild(jrow)
-            cat_item.setExpanded(True)
-        self.ext_tree.blockSignals(False)
+            self._cat_lay.addWidget(self._category_section(cat))
 
-    def _on_ext_check(self, item: QTreeWidgetItem, _col: int) -> None:
-        data = item.data(0, Qt.UserRole)
-        if data and data[0] == "ms365_builtin":
-            self.ctx.config.ms365.setdefault("connectors", {})[data[2]] = (
-                item.checkState(0) == Qt.Checked)
-            self.ctx.save()
-            return
-        if data and data[0] == "jira_builtin":
-            self.ctx.config.data.setdefault("jira", {})["enabled"] = (
-                item.checkState(0) == Qt.Checked)
-            self.ctx.save()
-            return
-        if not data or data[0] != "connector":
-            return
-        _, cat, idx = data
-        entries = self.ctx.config.ext_connectors.get(cat, [])
-        if 0 <= idx < len(entries):
-            entries[idx]["enabled"] = item.checkState(0) == Qt.Checked
-            self.ctx.save()
+    def _category_section(self, cat: str) -> QWidget:
+        section = QWidget()
+        enable_height_for_width(section)  # this section wraps a FlowLayout row — see FlowLayout
+        sl = QVBoxLayout(section)
+        sl.setContentsMargins(0, 0, 0, 0)
+        sl.setSpacing(6)
 
-    def _current_ext_category(self) -> str:
-        item = self.ext_tree.currentItem()
-        data = item.data(0, Qt.UserRole) if item else None
-        return data[1] if data else EXT_CATEGORIES[0]
+        hdr = QHBoxLayout()
+        hdr.setSpacing(6)
+        icon_lbl = QLabel()
+        icon_lbl.setPixmap(icon(self._EXT_CATEGORY_ICONS.get(cat, "plug"), size=18).pixmap(18, 18))
+        hdr.addWidget(icon_lbl)
+        name, _, subtitle = self._EXT_CATEGORY_LABELS.get(cat, cat).partition(" (")
+        name_lbl = QLabel(name)
+        name_lbl.setStyleSheet("font-weight:700;")
+        hdr.addWidget(name_lbl)
+        if subtitle:
+            sub_lbl = QLabel("(" + subtitle)
+            sub_lbl.setObjectName("hint")
+            hdr.addWidget(sub_lbl)
+        hdr.addStretch(1)
+        sl.addLayout(hdr)
 
-    def _current_ext_connector(self):
-        item = self.ext_tree.currentItem()
-        data = item.data(0, Qt.UserRole) if item else None
-        if not data or data[0] != "connector":
-            return None
-        _, cat, idx = data
-        entries = self.ctx.config.ext_connectors.get(cat, [])
-        return (cat, entries[idx]) if 0 <= idx < len(entries) else None
+        flow_host = QWidget()
+        flow = FlowLayout(flow_host, margin=0, h_spacing=10, v_spacing=10)
+
+        if cat == "ms365":
+            conns = self.ctx.config.ms365.get("connectors", {})
+            for key, label in self._MS365_BUILTIN_LABELS.items():
+                flow.addWidget(self._connector_card(
+                    label, tr("connectors.builtin_auto"), bool(conns.get(key)),
+                    lambda on, k=key: self._toggle_ms365_builtin(k, on)))
+
+        for entry in self.ctx.config.ext_connectors.get(cat, []):
+            mode_label = tr("ext.mode_mcp") if entry.get("mode") == "mcp_stdio" else tr("ext.mode_rest")
+            flow.addWidget(self._connector_card(
+                entry.get("name", ""), mode_label, bool(entry.get("enabled")),
+                lambda on, e=entry: self._toggle_ext_entry(e, on),
+                # QPushButton.clicked emits a `checked` bool — a lambda whose
+                # ONLY parameter is a defaulted capture (`e=entry`) looks like
+                # it accepts that bool, so Qt hands it the click state instead
+                # of using the default, silently replacing the captured dict
+                # with False. An explicit leading `checked=False` soaks up the
+                # signal's argument so `e` keeps the entry it was defined with.
+                edit_cb=lambda checked=False, e=entry: self._edit_ext_entry(cat, e),
+                delete_cb=lambda checked=False, e=entry: self._delete_ext_entry(cat, e)))
+
+        if cat == "other":
+            # Jira is a built-in "Other" connector (like OneDrive under MS365):
+            # switch = enabled; ✎ Sửa opens its own minimal setup dialog — no
+            # 🗑 Xóa, same as OneDrive/SharePoint have neither (nothing to delete).
+            jira = self.ctx.config.data.get("jira", {})
+            configured = bool(jira.get("base_url") and jira.get("email") and jira.get("api_token"))
+            jstate = tr("connectors.jira_connected") if configured else tr("connectors.jira_not_set")
+            flow.addWidget(self._connector_card(
+                "Jira", f"{tr('ext.mode_builtin').capitalize()} · {jstate}",
+                configured and jira.get("enabled", True), self._toggle_jira,
+                edit_cb=self._open_jira_dialog))
+
+        sl.addWidget(flow_host)
+        return section
+
+    def _connector_card(self, title: str, subtitle: str, checked: bool, on_toggle,
+                        edit_cb=None, delete_cb=None) -> QWidget:
+        card = QFrame()
+        card.setFrameShape(QFrame.NoFrame)
+        style_card(card)
+        lay = QVBoxLayout(card)
+        lay.setContentsMargins(10, 8, 10, 8)
+        lay.setSpacing(4)
+
+        hdr = QHBoxLayout()
+        name_lbl = QLabel(title)
+        name_lbl.setStyleSheet("font-weight:700; border: none;")
+        hdr.addWidget(name_lbl)
+        hdr.addStretch(1)
+        sw = ToggleSwitch()
+        sw.setChecked(checked)
+        sw.toggled.connect(on_toggle)
+        hdr.addWidget(sw)
+        lay.addLayout(hdr)
+
+        sub_lbl = QLabel(subtitle)
+        sub_lbl.setObjectName("hint")
+        sub_lbl.setStyleSheet("border: none;")
+        lay.addWidget(sub_lbl)
+
+        if edit_cb is not None or delete_cb is not None:
+            actions = QHBoxLayout()
+            actions.setContentsMargins(0, 2, 0, 0)
+            actions.setSpacing(2)
+            if edit_cb is not None:
+                b = QPushButton(tr("settings.ext_edit_btn"))
+                b.setIcon(icon("edit"))
+                b.setFlat(True)
+                b.setCursor(Qt.PointingHandCursor)
+                b.clicked.connect(edit_cb)
+                actions.addWidget(b)
+            if delete_cb is not None:
+                b = QPushButton(tr("settings.ext_delete_btn"))
+                b.setIcon(icon("trash"))
+                b.setFlat(True)
+                b.setCursor(Qt.PointingHandCursor)
+                b.clicked.connect(delete_cb)
+                actions.addWidget(b)
+            actions.addStretch(1)
+            lay.addLayout(actions)
+
+        return card
+
+    def _toggle_ms365_builtin(self, key: str, checked: bool) -> None:
+        self.ctx.config.ms365.setdefault("connectors", {})[key] = checked
+        self.ctx.save()
+
+    def _toggle_jira(self, checked: bool) -> None:
+        self.ctx.config.data.setdefault("jira", {})["enabled"] = checked
+        self.ctx.save()
+
+    def _toggle_ext_entry(self, entry: dict, checked: bool) -> None:
+        entry["enabled"] = checked
+        self.ctx.save()
 
     # ---- CRUD -----------------------------------------------------------------
     def _ext_add(self) -> None:
-        dlg = ExtConnectorEditDialog(self, category=self._current_ext_category())
+        dlg = ExtConnectorEditDialog(self, category=EXT_CATEGORIES[0])
         if dlg.exec():
             entry = dlg.result_connector()
             self.ctx.config.ext_connectors.setdefault(entry["category"], []).append(entry)
             self.ctx.save()
-            self._reload_ext_tree()
+            self._reload_connectors()
 
-    def _ext_edit(self) -> None:
-        """Configure the selected row. Built-in Jira → its minimal dialog;
-        a normal connector → the MCP/REST editor."""
-        item = self.ext_tree.currentItem()
-        data = item.data(0, Qt.UserRole) if item else None
-        if data and data[0] == "jira_builtin":
-            self._open_jira_dialog()
-            return
-        current = self._current_ext_connector()
-        if current is None:
-            return
-        cat, entry = current
+    def _edit_ext_entry(self, cat: str, entry: dict) -> None:
         dlg = ExtConnectorEditDialog(self, category=cat, connector=entry)
         if dlg.exec():
             entry.update(dlg.result_connector())
             self.ctx.save()
-            self._reload_ext_tree()
+            self._reload_connectors()
 
     def _open_jira_dialog(self) -> None:
         JiraConnectDialog(self.ctx, self).exec()
-        self._reload_ext_tree()
+        self._reload_connectors()
 
-    def _ext_delete(self) -> None:
-        current = self._current_ext_connector()
-        if current is None:
-            return
-        cat, entry = current
+    def _delete_ext_entry(self, cat: str, entry: dict) -> None:
         if QMessageBox.question(
                 self, tr("settings.ext_delete_btn"),
                 tr("settings.ext_delete_confirm", name=entry.get("name", ""))) != QMessageBox.Yes:
             return
         self.ctx.config.ext_connectors[cat].remove(entry)
         self.ctx.save()
-        self._reload_ext_tree()
+        self._reload_connectors()
 
     def _refresh_ms365_local_status(self) -> None:
         from .. import paths
@@ -314,16 +362,13 @@ class ConnectorsPanel(QWidget):
     def _apply_connect_external_enabled(self, on: bool) -> None:
         """Grey out the per-connector setup when the master switch is off — the
         agent won't connect to any of them anyway."""
-        for w in (self.ext_tree, self.add_btn, self.edit_btn, self.del_btn):
+        for w in (self._cat_scroll, self.add_btn):
             w.setEnabled(on)
 
     def _retranslate(self) -> None:
-        self.connect_external_chk.setText(tr("connectors.connect_external"))
-        self.connect_external_chk.setToolTip(tr("connectors.connect_external_tooltip"))
+        self.connect_external_sw.setText(tr("connectors.connect_external"))
+        self.connect_external_sw.setToolTip(tr("connectors.connect_external_tooltip"))
         self.add_btn.setText(tr("settings.ext_add_btn"))
-        self.edit_btn.setText(tr("settings.ext_edit_btn"))
-        self.del_btn.setText(tr("settings.ext_delete_btn"))
-        self.dbl_hint.setText(tr("connectors.dbl_configure"))
         self._refresh_ms365_local_status()
-        self._reload_ext_tree()
+        self._reload_connectors()
         self._apply_connect_external_enabled(self.ctx.config.connect_external)
diff --git a/ui/cowork_tab.py b/ui/cowork_tab.py
index 7b516d7..44c620f 100644
--- a/ui/cowork_tab.py
+++ b/ui/cowork_tab.py
@@ -81,8 +81,21 @@ class CoworkTab(ChatPanel):
         # succeeds (see _cleanup_turn) — never intermediate files or a folder name.
         on_language_changed(self._retranslate)
 
+    def refresh_title(self) -> None:
+        """Head the screen with the thread you are in, as the drawing does.
+
+        It said "Cowork" on every conversation — the screen's own name, which
+        the rail already shows. The thread's title is the thing that changes and
+        the thing that tells you where you are; a thread with no title yet (a
+        new chat, before its first turn) falls back to the screen name.
+        """
+        lbl = getattr(self, "_title_lbl", None)
+        if lbl is None:
+            return          # ChatPanel.__init__ sets self.title before we exist
+        lbl.setText(getattr(self, "title", "") or tr("cowork.title"))
+
     def _retranslate(self) -> None:
-        self._title_lbl.setText(tr("cowork.title"))
+        self.refresh_title()
         self.skills_btn.setText(tr("cowork.skills_btn"))
         self.skills_btn.setToolTip(tr("cowork.skills_tooltip"))
         self._new_btn.setText(tr("cowork.new_chat"))
diff --git a/ui/dashboard_tab.py b/ui/dashboard_tab.py
index 3c4c17a..8978b8e 100644
--- a/ui/dashboard_tab.py
+++ b/ui/dashboard_tab.py
@@ -24,6 +24,7 @@ from ..core import usage_tracker as ut
 from ..core.worker import AgentWorker
 from ..i18n import on_language_changed, tr
 from ..state import AppContext
+from ..theme import current_palette
 from .icons import icon
 from .spline_chart import SplineChart
 from .widgets import BudgetCard as _BudgetCard
@@ -91,39 +92,52 @@ class DashboardTab(QWidget):
         self.refresh_btn.setIcon(icon("refresh"))
         self.refresh_btn.setFixedWidth(34)
         self.refresh_btn.clicked.connect(self.refresh)
+        # Two rows, grouped by what the controls do, instead of nine widgets
+        # strung across one line where the title, a date pager, two chart
+        # selectors, a currency picker and Refresh all read as one undifferentiated
+        # strip. Row 1 is "where am I"; row 2 is "what am I looking at".
         head.addWidget(self._title, 1)
-        head.addWidget(self.chart_prev_btn)
-        head.addWidget(self._chart_period_lbl)
-        head.addWidget(self.chart_next_btn)
-        head.addWidget(self.gran_combo)
-        head.addWidget(self.metric_combo)
-        head.addWidget(self.currency_lbl)
-        head.addWidget(self.currency_combo)
         head.addWidget(self.refresh_btn)
         root.addLayout(head)
 
+        controls = QHBoxLayout()
+        controls.setSpacing(6)
+        controls.addWidget(self.chart_prev_btn)          # period pager
+        controls.addWidget(self._chart_period_lbl)
+        controls.addWidget(self.chart_next_btn)
+        controls.addSpacing(12)
+        controls.addWidget(self.gran_combo)              # what the chart plots
+        controls.addWidget(self.metric_combo)
+        controls.addStretch(1)
+        controls.addWidget(self.currency_lbl)            # how money is displayed
+        controls.addWidget(self.currency_combo)
+        root.addLayout(controls)
+
         # ---- stat cards ---------------------------------------------------
-        # Single row, 5 equal-width cards (same layout as Monitoring Overview)
+        # Cost is the headline this screen exists for, so it gets a card twice
+        # the height of the rest instead of being the fifth of five identical
+        # tiles — with six equal cards nothing said which number mattered.
         cards_grid = QGridLayout()
         cards_grid.setSpacing(8)
         self.card_total = _StatCard()
         self.card_in = _StatCard()
         self.card_out = _StatCard()
         self.card_cache = _StatCard()
-        self.card_cost = _StatCard()
-        for i, card in enumerate((self.card_total, self.card_in, self.card_out,
-                                  self.card_cache, self.card_cost)):
-            cards_grid.addWidget(card, 0, i)
+        self.card_cost = _StatCard().as_hero()
+        # Hero on the left, spanning both rows; the four supporting figures fill
+        # a 2×2 block beside it.
+        cards_grid.addWidget(self.card_cost, 0, 0, 2, 1)
+        for i, card in enumerate((self.card_total, self.card_in,
+                                  self.card_out, self.card_cache)):
+            cards_grid.addWidget(card, i // 2, 1 + i % 2)
         # Budget: remaining/budget, direct entry, auto-warns red past 85% used.
         self.budget_card = _BudgetCard()
         self.budget_card.apply_btn.setIcon(icon("check"))
         self.budget_card.apply_btn.clicked.connect(self._apply_budget)
-        cards_grid.addWidget(self.budget_card, 0, 5)
-        # Equal stretch on every column — otherwise the grid sizes each column
-        # to its widest cell's natural content (Budget's longer "$X / $Y" value
-        # + entry row made its column ~25% wider than the plain stat cards).
-        for col in range(6):
-            cards_grid.setColumnStretch(col, 1)
+        cards_grid.addWidget(self.budget_card, 0, 3, 2, 1)
+        # The hero and Budget columns get more room than the small tiles.
+        for col, stretch in ((0, 3), (1, 2), (2, 2), (3, 3)):
+            cards_grid.setColumnStretch(col, stretch)
         root.addLayout(cards_grid)
 
         # ---- token/cost within the selected period (spline): WEEK → 7 days
@@ -298,8 +312,11 @@ class DashboardTab(QWidget):
         n_points = max(1, len(parts))
         refs = []
         if prev[mi] > 0:
+            # Muted on purpose: the comparison line is a reference, not the
+            # series — it must not compete with the accent-coloured spline.
             refs.append((prev[mi] / n_points,
-                         f"{tr(ref_key)} {self._delta_txt(cur[mi], prev[mi])}", "#B08968"))
+                         f"{tr(ref_key)} {self._delta_txt(cur[mi], prev[mi])}",
+                         current_palette().text_muted))
         self.chart.set_reference_lines(refs)
         self.chart.set_data(pts, fmt, tr(f"dashboard.metric_{metric}"))
         self._chart_period_lbl.setText(ut.period_range_label(gran, self._chart_offset))
diff --git a/ui/ext_connector_dialog.py b/ui/ext_connector_dialog.py
index 0f45eb2..2244d4a 100644
--- a/ui/ext_connector_dialog.py
+++ b/ui/ext_connector_dialog.py
@@ -16,9 +16,14 @@ from PySide6.QtWidgets import (
     QLineEdit, QMessageBox, QPushButton, QStackedWidget, QVBoxLayout, QWidget,
 )
 
-from ..core.ext_connectors import PRESETS
+from ..core.ext_connectors import CATEGORIES, PRESETS
 from ..i18n import tr
 
+# ms365 has no user-created entries here (see ConnectorsPanel) — it auto-connects
+# via its own built-in OneDrive/SharePoint toggles, so it's left off this picker.
+_PICKABLE_CATEGORIES = tuple(c for c in CATEGORIES if c != "ms365")
+_CATEGORY_LABEL = {"cad": "CAD", "cae": "CAE", "other": "Other"}
+
 
 class ExtConnectorEditDialog(QDialog):
     def __init__(self, parent=None, category: str = "cad", connector: Optional[dict] = None):
@@ -32,10 +37,20 @@ class ExtConnectorEditDialog(QDialog):
         lay = QVBoxLayout(self)
 
         form = QFormLayout()
+        # Category picker — the single "+ Thêm connector…" button (Monitoring ▸
+        # Công cụ ▸ Connector) has no tree selection to infer this from anymore,
+        # so the dialog itself asks. Fixed once created, same as the preset.
+        self.category_combo = QComboBox()
+        for cat in _PICKABLE_CATEGORIES:
+            self.category_combo.addItem(_CATEGORY_LABEL.get(cat, cat), cat)
+        idx = self.category_combo.findData(self.category)
+        self.category_combo.setCurrentIndex(max(0, idx))
+        self.category_combo.setEnabled(not editing)
+        self.category_combo.currentIndexChanged.connect(self._on_category_changed)
+        form.addRow(tr("ext.category_label"), self.category_combo)
+
         self.preset_combo = QComboBox()
-        self.preset_combo.addItem(tr("ext.preset_custom"), "")
-        for p in PRESETS.get(self.category, []):
-            self.preset_combo.addItem(p["name"], p["id"])
+        self._reload_presets()
         if editing:
             self.preset_combo.setEnabled(False)  # identity fixed once created
         form.addRow(tr("ext.preset_label"), self.preset_combo)
@@ -105,6 +120,18 @@ class ExtConnectorEditDialog(QDialog):
         buttons.rejected.connect(self.reject)
         lay.addWidget(buttons)
 
+    def _reload_presets(self) -> None:
+        self.preset_combo.blockSignals(True)
+        self.preset_combo.clear()
+        self.preset_combo.addItem(tr("ext.preset_custom"), "")
+        for p in PRESETS.get(self.category, []):
+            self.preset_combo.addItem(p["name"], p["id"])
+        self.preset_combo.blockSignals(False)
+
+    def _on_category_changed(self) -> None:
+        self.category = self.category_combo.currentData() or self.category
+        self._reload_presets()
+
     def _apply_preset(self) -> None:
         preset_id = self.preset_combo.currentData()
         if preset_id and not self.name_edit.text().strip():
diff --git a/ui/folder_tab.py b/ui/folder_tab.py
index c984d3a..c5aeebe 100644
--- a/ui/folder_tab.py
+++ b/ui/folder_tab.py
@@ -33,6 +33,7 @@ from PySide6.QtWidgets import (
 from ..core.worker import AgentWorker
 from ..i18n import on_language_changed, tr
 from ..state import AppContext
+from ..theme import current_palette
 from .chat_view import ChatView
 from .icons import icon
 from .libreoffice_view import DOC_SUFFIXES
@@ -89,23 +90,26 @@ class PygmentsHighlighter(QSyntaxHighlighter):
         from pygments.token import (
             Comment, Error, Keyword, Name, Number, Operator, Punctuation, String,
         )
+        p = current_palette()
         # Ordered specific → general: first matching token type wins.
+        # Colours are resolved when the editor is built, so reopening a file
+        # after a theme switch re-highlights it in the new theme.
         return [
-            (Comment, _fmt("#6A9955", italic=True)),
-            (Keyword.Type, _fmt("#4EC9B0")),
-            (Keyword, _fmt("#569CD6")),
-            (Name.Function, _fmt("#DCDCAA")),
-            (Name.Class, _fmt("#4EC9B0")),
-            (Name.Decorator, _fmt("#DCDCAA")),
-            (Name.Builtin, _fmt("#4EC9B0")),
-            (Name.Tag, _fmt("#569CD6")),
-            (Name.Attribute, _fmt("#9CDCFE")),
-            (String.Doc, _fmt("#6A9955", italic=True)),
-            (String, _fmt("#CE9178")),
-            (Number, _fmt("#B5CEA8")),
-            (Operator, _fmt("#D4D4D4")),
-            (Punctuation, _fmt("#D4D4D4")),
-            (Error, _fmt("#F44747")),
+            (Comment, _fmt(p.code_comment, italic=True)),
+            (Keyword.Type, _fmt(p.code_type)),
+            (Keyword, _fmt(p.code_keyword)),
+            (Name.Function, _fmt(p.code_func)),
+            (Name.Class, _fmt(p.code_type)),
+            (Name.Decorator, _fmt(p.code_func)),
+            (Name.Builtin, _fmt(p.code_type)),
+            (Name.Tag, _fmt(p.code_keyword)),
+            (Name.Attribute, _fmt(p.code_attr)),
+            (String.Doc, _fmt(p.code_comment, italic=True)),
+            (String, _fmt(p.code_string)),
+            (Number, _fmt(p.code_number)),
+            (Operator, _fmt(p.code_fg)),
+            (Punctuation, _fmt(p.code_fg)),
+            (Error, _fmt(p.code_error)),
         ]
 
     def set_filename(self, filename: str, text: str = "") -> None:
@@ -179,9 +183,7 @@ class CodeEditor(QPlainTextEdit):
         font.setStyleHint(QFont.Monospace)
         font.setPointSize(10)
         self.setFont(font)
-        self.setStyleSheet(
-            "#codeEditor { background: #1e1e1e; color: #d4d4d4; border: none; "
-            "selection-background-color: #264f78; }")
+        # Surface comes from the central style sheet (#codeEditor) — see theme.py.
         self._gutter = _LineNumbers(self)
         self.blockCountChanged.connect(lambda _=0: self._update_gutter_width())
         self.updateRequest.connect(self._on_update_request)
@@ -210,13 +212,14 @@ class CodeEditor(QPlainTextEdit):
         self._gutter.setGeometry(QRect(cr.left(), cr.top(), self.line_number_width(), cr.height()))
 
     def paint_line_numbers(self, event) -> None:
+        p = current_palette()
         painter = QPainter(self._gutter)
-        painter.fillRect(event.rect(), QColor("#1a1a1a"))
+        painter.fillRect(event.rect(), QColor(p.code_gutter_bg))
         block = self.firstVisibleBlock()
         num = block.blockNumber()
         top = self.blockBoundingGeometry(block).translated(self.contentOffset()).top()
         bottom = top + self.blockBoundingRect(block).height()
-        painter.setPen(QColor("#858585"))
+        painter.setPen(QColor(p.code_gutter_fg))
         while block.isValid() and top <= event.rect().bottom():
             if block.isVisible() and bottom >= event.rect().top():
                 painter.drawText(0, int(top), self._gutter.width() - 6,
@@ -258,14 +261,20 @@ class FolderTab(QWidget):
 
         root = QVBoxLayout(self)
 
+        # The path IS the title of this screen, so it is written as one rather
+        # than shown in a read-only text box that looks editable and costs a
+        # whole row of its own. Full path on hover; the button still opens the
+        # folder picker.
         bar = QHBoxLayout()
-        self.path_edit = QLineEdit(self._root)
-        self.path_edit.setReadOnly(True)
+        self.path_lbl = QLabel(self._root)
+        self.path_lbl.setObjectName("folderTitle")
+        self.path_lbl.setTextInteractionFlags(Qt.TextSelectableByMouse)
+        self.path_lbl.setToolTip(self._root)
         self._open_btn = QPushButton()
         self._open_btn.setIcon(icon("folder"))
         self._open_btn.setObjectName("primary")
         self._open_btn.clicked.connect(self._pick_root)
-        bar.addWidget(self.path_edit, 1)
+        bar.addWidget(self.path_lbl, 1)
         bar.addWidget(self._open_btn)
         root.addLayout(bar)
 
@@ -380,7 +389,8 @@ class FolderTab(QWidget):
         if not p or not os.path.isdir(p):
             return
         self._root = p
-        self.path_edit.setText(p)
+        self.path_lbl.setText(p)
+        self.path_lbl.setToolTip(p)
         self.model.setRootPath(p)
         self.tree.setRootIndex(self.model.index(p))
         if getattr(self, "terminal", None) is not None:
@@ -1096,7 +1106,7 @@ class FolderTab(QWidget):
         if n and hasattr(self, "_ai_status"):
             self._ai_status.setText("⏳ " + tr("folder.ai_status_running")
                                     + "  ·  " + tr("folder.ai_queue_count", n=n))
-            self._ai_status.setStyleSheet("color:#0096C7;")
+            self._ai_status.setStyleSheet(f"color:{current_palette().accent};")
 
     def _ai_maybe_dequeue(self) -> None:
         """When the pipeline is fully idle, start the next queued instruction."""
@@ -1308,7 +1318,7 @@ class FolderTab(QWidget):
         name = target if create else getattr(self, "_ai_running_file", "")
         self.status_message.emit(tr("folder.ai_proposed_status", name=name))
         self._ai_status.setText("● " + hint)
-        self._ai_status.setStyleSheet("color:#c77d00;")
+        self._ai_status.setStyleSheet(f"color:{current_palette().warning};")
 
     def _ai_apply(self) -> None:
         """Confirmed by the user. If the edit GENERATES images, ask the image
@@ -1464,7 +1474,7 @@ class FolderTab(QWidget):
         self.ai_send_btn.setEnabled(not busy)
         if busy:
             self._ai_status.setText("⏳ " + tr("folder.ai_status_running"))
-            self._ai_status.setStyleSheet("color:#0096C7;")
+            self._ai_status.setStyleSheet(f"color:{current_palette().accent};")
             self.ai_btn.setText(tr("folder.ai_edit") + " ⏳")   # visible even when collapsed
         else:
             self._ai_status.setText("")
@@ -1478,7 +1488,7 @@ class FolderTab(QWidget):
             self._ai_maybe_dequeue()
             return
         self._ai_status.setText("✓ " + tr("folder.ai_status_done"))
-        self._ai_status.setStyleSheet("color:#1f9d63;")
+        self._ai_status.setStyleSheet(f"color:{current_palette().success};")
         if not self.ai_btn.isChecked() or self._ai_panel.isHidden():
             self.ai_btn.setText(tr("folder.ai_edit") + " ✓")
 
@@ -1489,7 +1499,9 @@ class FolderTab(QWidget):
                               else tr("folder.preview"))
 
     def _retranslate(self) -> None:
-        self.path_edit.setPlaceholderText(tr("folder.path_placeholder"))
+        # The label always shows a real path, so the placeholder became a
+        # tooltip hint on the button that changes it.
+        self._open_btn.setToolTip(tr("folder.path_placeholder"))
         self._open_btn.setText(tr("folder.open_folder"))
         self.save_btn.setText(tr("folder.save"))
         self.ext_btn.setText(tr("folder.open_external"))
diff --git a/ui/help_agent_widget.py b/ui/help_agent_widget.py
index e1eb11a..29c85a1 100644
--- a/ui/help_agent_widget.py
+++ b/ui/help_agent_widget.py
@@ -17,9 +17,9 @@ from pathlib import Path
 from typing import Any, Dict, List, Optional
 
 from PySide6.QtCore import QSize, Qt, Signal
-from PySide6.QtGui import QIcon, QPixmap
+from PySide6.QtGui import QIcon
 from PySide6.QtWidgets import (
-    QFrame, QHBoxLayout, QLabel, QLineEdit, QPushButton, QTextBrowser,
+    QFrame, QHBoxLayout, QLabel, QLineEdit, QMenu, QPushButton, QTextBrowser,
     QVBoxLayout, QWidget,
 )
 
@@ -31,13 +31,31 @@ from .icons import icon
 _ASSETS = Path(__file__).resolve().parent.parent / "assets"
 
 _MARGIN = 18                       # gap from the window's bottom-right corner
-_LAUNCHER = 64                     # collapsed app-icon badge size (a clean rounded card, like image 2)
-_LAUNCHER_ICON = 52                # the icon inside it, inset so the light badge frames it
-_COLLAPSE_W, _COLLAPSE_H = 18, 44  # the "hide to the edge" chevron beside it
-_GAP = 2
-_TAB_W, _TAB_H = 16, 48            # the thin "show" tab when hidden at the edge
+# Closed, the assistant is a single 26px dot. It used to be an 84×64 block (a
+# 64px badge plus an 18px "hide" chevron beside it) sitting permanently over the
+# bottom-right of every screen — on Cowork, right on top of the Send button —
+# for something opened a few times a day. The name now appears on hover only,
+# and "hide to the edge" moved into the panel's ⋯ menu.
+# The audit page draws this at 26px ("26×26 · không chữ, không chevron").
+# Doubled at the user's request: 26 read as too small to notice on a 1920
+# screen. Still half the area of the 84×64 button it replaced.
+_DOT = 52                          # closed launcher (a round chip)
+_DOT_ICON = 28                     # the sparkle inside it
+_PILL_PAD = 12                     # extra width for the label when hovered
+_TAB_W, _TAB_H = 28, 48            # the "show" tab when hidden at the edge (was 16 wide)
 _PANEL_W, _PANEL_H = 340, 460      # expanded chat panel size
 
+# Straight from docs/ui-audit.html (.wf .fab / .fabpill / .spark): the
+# assistant is teal, not the app accent, and the same in both themes —
+# it is one recognisable object floating over every screen.
+_TEAL_BG, _TEAL_LINE = "#E6F6F4", "#7FD0C4"
+_TEAL_TEXT = "#0F6E62"
+# The page's CSS says .spark{color:#0F9B8A}, but the glyph is the ✨ EMOJI and a
+# colour emoji ignores CSS colour — so what the page actually renders is the
+# gold star. Sampled from the page's own render of section 27 (1055 pixels of
+# the star, averaged): #FDBE59.
+_SPARK_GOLD = "#FDBE59"
+
 # The three states the floating assistant cycles through.
 _HIDDEN, _LAUNCHER_ST, _PANEL = "hidden", "launcher", "panel"
 
@@ -53,27 +71,46 @@ def _app_icon() -> QIcon:
     return QIcon(str(p)) if p.exists() else icon("robot")
 
 
-def _app_pixmap(size: int) -> QPixmap:
-    """icon.png scaled to ``size`` (smooth), for the launcher badge label."""
-    p = _ASSETS / "icon.png"
-    if p.exists():
-        return QPixmap(str(p)).scaled(size, size, Qt.KeepAspectRatio, Qt.SmoothTransformation)
-    return icon("robot").pixmap(size, size)
+# _app_pixmap()/_IconTap were the 52px icon and its click-through QLabel for the
+# old 64px badge. The launcher is a real button now, so both are gone.
 
 
-class _IconTap(QLabel):
-    """A QLabel that behaves like a button (click → signal) — used for the
-    launcher badge so it carries NO QPushButton chrome/box, just the icon on a
-    clean rounded card."""
+class _HoverPill(QPushButton):
+    """The closed launcher: a dot at rest, a labelled pill under the pointer.
 
-    clicked = Signal()
+    Keyboard focus counts as hover, so the name is reachable without a mouse.
+    Resizing is delegated to the owner because this widget is inside an overlay
+    that has to re-pin itself to the window corner whenever its size changes.
+    """
 
-    def mousePressEvent(self, e):  # noqa: N802 - Qt override
-        if e.button() == Qt.LeftButton:
-            self.clicked.emit()
-            e.accept()
+    def __init__(self, owner):
+        super().__init__(owner)
+        self._owner = owner
+        self.open = False
+
+    def _set_open(self, value: bool) -> None:
+        if value == self.open:
             return
-        super().mousePressEvent(e)
+        self.open = value
+        self.setText(f"  {tr('help_agent.badge')}" if value else "")
+        self._owner._layout_launcher()
+
+    def enterEvent(self, e):  # noqa: N802 - Qt override
+        self._set_open(True)
+        super().enterEvent(e)
+
+    def leaveEvent(self, e):  # noqa: N802 - Qt override
+        if not self.hasFocus():
+            self._set_open(False)
+        super().leaveEvent(e)
+
+    def focusInEvent(self, e):  # noqa: N802 - Qt override
+        self._set_open(True)
+        super().focusInEvent(e)
+
+    def focusOutEvent(self, e):  # noqa: N802 - Qt override
+        self._set_open(False)
+        super().focusOutEvent(e)
 
 
 class HelpAgentWidget(QWidget):
@@ -91,9 +128,12 @@ class HelpAgentWidget(QWidget):
         self._worker: Optional[AgentWorker] = None
         # Conversation history (excludes the system prompt, prepended per call).
         # Seeded with the greeting so the panel always opens on a friendly hello.
-        self._history: List[Dict[str, str]] = [
-            {"role": "assistant", "content": self._greeting()}
-        ]
+        # Kept by identity so retranslate() can rewrite it without having to
+        # guess which language the visible text is in — and without touching a
+        # real reply that happens to look like a greeting.
+        self._greet_msg: Dict[str, str] = {
+            "role": "assistant", "content": self._greeting()}
+        self._history: List[Dict[str, str]] = [self._greet_msg]
         self.setAttribute(Qt.WA_StyledBackground, True)
         self._pal = self._compute_palette()
         self._build_edge_tab()
@@ -103,67 +143,63 @@ class HelpAgentWidget(QWidget):
         self._apply_state()
 
     # ---- theming ----------------------------------------------------------
-    def _compute_palette(self) -> Dict[str, str]:
-        """Chat-body colours that FOLLOW the app's light/dark theme. The header
-        is intentionally NOT themed here (it stays a fixed light bar — see
-        _apply_style), only the conversation area adapts."""
-        from ..theme import resolve_theme
-        dark = resolve_theme(getattr(self.ctx.config, "theme", "system")) == "dark"
-        if dark:
-            return {
-                "panel_bg": "#16202b", "text": "#e3ebf5", "log_bg": "#0f1720",
-                "input_bg": "#1b2733", "border": "#33404d",
-                "user_bg": "#123a52", "user_label": "#58c0ee",
-                "bot_bg": "#232f3b", "bot_label": "#6fe3a4",
-            }
-        return {
-            "panel_bg": "#ffffff", "text": "#14212b", "log_bg": "#f7f9fb",
-            "input_bg": "#ffffff", "border": "#d5d9de",
-            "user_bg": "#dceff8", "user_label": "#0077B6",
-            "bot_bg": "#eef1f4", "bot_label": "#2f7d55",
-        }
+    def _compute_palette(self):
+        """The app's design tokens for the theme in effect. The whole dock —
+        header included — follows the app theme; a header locked to a light
+        strip stranded a bright bar in the middle of the dark UI."""
+        from ..theme import palette
+        return palette(getattr(self.ctx.config, "theme", "system"))
 
     def apply_theme(self) -> None:
         """Re-style + re-render when the app theme switches (called from
-        MainWindow._apply_theme). Header stays fixed; chat body re-colours."""
+        MainWindow._apply_theme). The whole dock re-colours, icons included —
+        icons are painted bitmaps, so they must be rebuilt, not restyled."""
         self._pal = self._compute_palette()
         self._apply_style()
+        muted = self._pal.text_muted
+        self.edge_tab.setIcon(icon("chevron-left", color=_TEAL_TEXT))
+        self.launcher.setIcon(icon("sparkle", size=_DOT_ICON, color=_SPARK_GOLD))
+        self.min_btn.setIcon(icon("minus", color=muted))
         self._render()
 
     def _apply_style(self) -> None:
-        # The HEADER bar is a FIXED light strip in both themes (per request); only
-        # the chat body below follows the app's light/dark palette (self._pal).
-        from ..theme import ACCENT, ACCENT2, GRADIENT
+        """The dock owns its own style sheet (it floats above the window, so the
+        app-wide sheet does not reach it cleanly) but draws every value from the
+        shared tokens — see theme.py."""
         p = self._pal
+        r, rl = p.radius, p.radius_lg
         self.setStyleSheet(f"""
-            /* Clean rounded app-icon badge (like image 2): a fixed light card
-               framing the icon — no QPushButton box. */
-            #helpLauncher {{ background: #e8f2fb; border: 1px solid #d3e3f2;
-                border-radius: 16px; }}
-            #helpLauncher:hover {{ background: #dcedfb; }}
-            #helpCollapseBtn, #helpEdgeTab {{ background: rgba(0,0,0,0.06); border: none;
-                border-radius: 6px; }}
-            #helpCollapseBtn:hover, #helpEdgeTab:hover {{ background: rgba(0,0,0,0.14); }}
-            #helpPanel {{ background: {p['panel_bg']}; border: 1px solid {p['border']};
-                border-radius: 14px; color: {p['text']}; }}
-            /* Faint-blue header bar — LOCKED light, dark title, in both themes.
-               The header AND its child labels set fixed backgrounds so the dark
-               theme never bleeds into the App-Assistant title strip. */
-            #helpHeader {{ background: #e8f2fb; border-bottom: 1px solid #d9e6f2;
-                border-top-left-radius: 14px; border-top-right-radius: 14px; }}
-            #helpHeader QLabel {{ background: transparent; color: #14212b; }}
-            #helpTitle {{ color: #14212b; font-weight: 700; font-size: 13px; background: transparent; }}
-            #helpMinBtn {{ background: transparent; border: none; }}
-            #helpMinBtn:hover {{ background: rgba(0,0,0,0.10); border-radius: 6px; }}
-            #helpLog {{ background: {p['log_bg']}; border: none; color: {p['text']}; padding: 4px 6px; }}
-            #helpInputRow {{ background: {p['panel_bg']}; border-bottom-left-radius: 14px;
-                border-bottom-right-radius: 14px; }}
-            #helpInput {{ border: 1px solid {p['border']}; border-radius: 8px; padding: 5px 8px;
-                background: {p['input_bg']}; color: {p['text']}; }}
-            #helpInput:focus {{ border: 1px solid {ACCENT}; }}
-            #helpSendBtn {{ background: {GRADIENT}; border: none; border-radius: 8px; }}
-            #helpSendBtn:hover {{ background: {ACCENT2}; }}
-            #helpSendBtn:disabled {{ background: #b7c0c9; }}
+            /* Closed launcher: a {_DOT}px dot. `pill` flips to true on hover, when
+               the label comes out and the shape stretches to a rounded bar. */
+            #helpLauncher {{ background: {_TEAL_BG}; border: 1px solid {_TEAL_LINE};
+                border-radius: {_DOT // 2}px; color: {_TEAL_TEXT}; font-weight: 700;
+                font-size: 12px; padding: 0; text-align: center; }}
+            #helpLauncher[pill="true"] {{ text-align: left; padding-left: 6px; }}
+            #helpLauncher:hover {{ background: #D5EFEA; border-color: {_TEAL_LINE}; }}
+            #helpLauncher:focus {{ border: 1px solid {_TEAL_TEXT}; }}
+            #helpEdgeTab {{ background: {_TEAL_BG}; border: 1px solid {_TEAL_LINE};
+                border-right: none; border-top-left-radius: {r}px;
+                border-bottom-left-radius: {r}px; }}
+            #helpEdgeTab:hover {{ background: #D5EFEA; }}
+            #helpPanel {{ background: {p.surface}; border: 1px solid {p.border};
+                border-radius: {rl}px; color: {p.text}; }}
+            #helpHeader {{ background: {p.surface}; border-bottom: 1px solid {p.border};
+                border-top-left-radius: {rl}px; border-top-right-radius: {rl}px; }}
+            #helpHeader QLabel {{ background: transparent; color: {p.text}; }}
+            #helpTitle {{ color: {p.text}; font-weight: 600; font-size: 13px;
+                background: transparent; }}
+            #helpMinBtn {{ background: transparent; border: none; border-radius: {r}px; }}
+            #helpMinBtn:hover {{ background: {p.hover}; }}
+            #helpLog {{ background: {p.sunken}; border: none; color: {p.text};
+                padding: 4px 6px; }}
+            #helpInputRow {{ background: {p.surface};
+                border-bottom-left-radius: {rl}px; border-bottom-right-radius: {rl}px; }}
+            #helpInput {{ border: 1px solid {p.border}; border-radius: {r}px; padding: 5px 8px;
+                background: {p.surface_raised}; color: {p.text}; }}
+            #helpInput:focus {{ border: 1px solid {p.focus_ring}; }}
+            #helpSendBtn {{ background: {p.accent_solid}; border: none; border-radius: {r}px; }}
+            #helpSendBtn:hover {{ background: {p.accent_solid_hover}; }}
+            #helpSendBtn:disabled {{ background: {p.border_strong}; }}
         """)
 
     # ---- greeting / labels ------------------------------------------------
@@ -177,28 +213,21 @@ class HelpAgentWidget(QWidget):
         # assistant back (chevron points left = "slide out").
         self.edge_tab = QPushButton(self)
         self.edge_tab.setObjectName("helpEdgeTab")
-        self.edge_tab.setIcon(icon("chevron-left", color="#5a6570"))
+        self.edge_tab.setIcon(icon("chevron-left", color=_TEAL_TEXT))
         self.edge_tab.setCursor(Qt.PointingHandCursor)
         self.edge_tab.setToolTip(tr("help_agent.show_tooltip"))
         self.edge_tab.clicked.connect(self._show_launcher)
 
     def _build_launcher(self) -> None:
-        # A left-side chevron collapses the assistant to the edge…
-        self.collapse_btn = QPushButton(self)
-        self.collapse_btn.setObjectName("helpCollapseBtn")
-        self.collapse_btn.setIcon(icon("chevron-right", color="#5a6570"))
-        self.collapse_btn.setCursor(Qt.PointingHandCursor)
-        self.collapse_btn.setToolTip(tr("help_agent.hide_tooltip"))
-        self.collapse_btn.clicked.connect(self._hide_to_edge)
-        # …and the app icon itself opens the chat — a clean rounded badge (like
-        # image 2), NOT a QPushButton (which added a pale box around the icon).
-        self.launcher = _IconTap(self)
+        # One control, one job: this opens the chat. The chevron that used to sit
+        # beside it (a second 18px hit target for a second meaning of "closed")
+        # is gone — hiding to the edge is now a line in the panel's ⋯ menu.
+        self.launcher = _HoverPill(self)
         self.launcher.setObjectName("helpLauncher")
-        self.launcher.setFixedSize(_LAUNCHER, _LAUNCHER)
-        self.launcher.setAlignment(Qt.AlignCenter)
-        self.launcher.setPixmap(_app_pixmap(_LAUNCHER_ICON))
+        self.launcher.setIcon(icon("sparkle", size=_DOT_ICON, color=_SPARK_GOLD))
         self.launcher.setCursor(Qt.PointingHandCursor)
-        self.launcher.setToolTip(tr("help_agent.open_tooltip"))
+        self.launcher.setToolTip(
+            f'{tr("help_agent.open_tooltip")} · {tr("help_agent.dot_hint")}')
         self.launcher.clicked.connect(self._expand)
 
     def _build_panel(self) -> None:
@@ -215,19 +244,31 @@ class HelpAgentWidget(QWidget):
         hb = QHBoxLayout(header)
         hb.setContentsMargins(12, 8, 8, 8)
         self.title_icon = QLabel(header)
-        self.title_icon.setPixmap(_app_icon().pixmap(20, 20))
+        self.title_icon.setPixmap(
+            icon("sparkle", size=16, color=_SPARK_GOLD).pixmap(16, 16))
         hb.addWidget(self.title_icon)
         self.title = QLabel(tr("help_agent.title"), header)
         self.title.setObjectName("helpTitle")
         hb.addWidget(self.title, 1)
         self.min_btn = QPushButton(header)
         self.min_btn.setObjectName("helpMinBtn")
-        self.min_btn.setIcon(icon("minus", color="#5a6570"))
+        self.min_btn.setIcon(icon("minus", color=self._pal.text_muted))
         self.min_btn.setFixedSize(24, 24)
         self.min_btn.setCursor(Qt.PointingHandCursor)
         self.min_btn.setToolTip(tr("help_agent.collapse_tooltip"))
         self.min_btn.clicked.connect(self._collapse)
         hb.addWidget(self.min_btn)
+        # No ⋯ menu. The audit page put "Ẩn trợ lý" in one, but its two entries
+        # were "thu nhỏ" — which the − button beside it already does — and
+        # "ẩn vào cạnh phải". A drop-list to reach one action that duplicates
+        # its neighbour is chrome; removed at the user's request.
+        #
+        # Hiding stays reachable by right-click, on the header while the panel
+        # is open and on the dot while it is shut, so no route is lost.
+        for target in (header, self.launcher):
+            target.setContextMenuPolicy(Qt.CustomContextMenu)
+            target.customContextMenuRequested.connect(
+                lambda pos, w=target: self._hide_menu(w, pos))
         v.addWidget(header)
 
         # Conversation log
@@ -268,6 +309,19 @@ class HelpAgentWidget(QWidget):
         self._state = _LAUNCHER_ST
         self._apply_state()
 
+    def _hide_menu(self, widget, pos) -> None:
+        """Right-click, on the dot or the open panel's header: hide to the edge.
+
+        The only action worth offering here — collapsing is what the − button
+        and the dot itself already are.
+        """
+        from PySide6.QtWidgets import QMenu
+
+        menu = QMenu(widget)
+        act = menu.addAction(tr("help_agent.hide_tooltip"))
+        act.triggered.connect(self._hide_to_edge)
+        menu.exec(widget.mapToGlobal(pos))
+
     def _hide_to_edge(self) -> None:
         self._state = _HIDDEN
         self._apply_state()
@@ -276,36 +330,57 @@ class HelpAgentWidget(QWidget):
         self._state = _LAUNCHER_ST
         self._apply_state()
 
+    def _layout_launcher(self) -> None:
+        """Size the overlay to the dot, or to the pill while it is hovered."""
+        w = _DOT
+        if self.launcher.open:
+            w = max(_DOT, self.launcher.fontMetrics()
+                    .horizontalAdvance(self.launcher.text()) + _DOT + _PILL_PAD)
+        self.resize(w, _DOT)
+        self.launcher.setGeometry(0, 0, w, _DOT)
+        # Round while it is a dot, pill-shaped once the label is out.
+        self.launcher.setProperty("pill", bool(self.launcher.open))
+        self.launcher.style().unpolish(self.launcher)
+        self.launcher.style().polish(self.launcher)
+        self.reposition()
+        self.raise_()
+
     def _apply_state(self) -> None:
         st = self._state
         self.edge_tab.setVisible(st == _HIDDEN)
-        self.collapse_btn.setVisible(st == _LAUNCHER_ST)
         self.launcher.setVisible(st == _LAUNCHER_ST)
         self.panel.setVisible(st == _PANEL)
         if st == _PANEL:
             self.resize(_PANEL_W, _PANEL_H)
             self.panel.setGeometry(0, 0, _PANEL_W, _PANEL_H)
         elif st == _LAUNCHER_ST:
-            w = _LAUNCHER + _GAP + _COLLAPSE_W
-            self.resize(w, _LAUNCHER)
-            # Icon on the left, the collapse chevron on the RIGHT (toward the
-            # screen edge it tucks into).
-            self.launcher.setGeometry(0, 0, _LAUNCHER, _LAUNCHER)
-            self.collapse_btn.setGeometry(_LAUNCHER + _GAP, (_LAUNCHER - _COLLAPSE_H) // 2,
-                                          _COLLAPSE_W, _COLLAPSE_H)
+            self._layout_launcher()
+            return                      # _layout_launcher repositions and raises
         else:  # hidden
             self.resize(_TAB_W, _TAB_H)
             self.edge_tab.setGeometry(0, 0, _TAB_W, _TAB_H)
         self.reposition()
         self.raise_()
 
+    # A screen whose bottom edge is an input row (Cowork's composer) must not
+    # have the dock sitting on top of it — set by MainWindow when the page
+    # changes, in window coordinates.
+    _bottom_guard = 0
+
+    def set_bottom_guard(self, height: int) -> None:
+        """Reserve `height` px at the foot of the window for the page's own
+        controls; the dock floats above it instead of over the Send button."""
+        if height != self._bottom_guard:
+            self._bottom_guard = max(0, height)
+            self.reposition()
+
     def reposition(self) -> None:
         """Pin to the parent's bottom-right corner (called on parent resize)."""
         p = self.parentWidget()
         if p is None:
             return
         x = max(0, p.width() - self.width() - _MARGIN)
-        y = max(0, p.height() - self.height() - _MARGIN)
+        y = max(0, p.height() - self.height() - _MARGIN - self._bottom_guard)
         self.move(x, y)
 
     # ---- rendering --------------------------------------------------------
@@ -318,17 +393,19 @@ class HelpAgentWidget(QWidget):
         p = self._pal
         text = (content or "").replace("&", "&amp;").replace("<", "&lt;").replace(">", "&gt;")
         text = text.replace("\n", "<br>")
+        # bgcolor= is a solid-only HTML attribute, hence accent_wash (pre-blended)
+        # rather than the translucent accent_soft used in style sheets.
         if who == "user":
-            align, bg, label_color = "right", p["user_bg"], p["user_label"]
+            align, bg, label_color = "right", p.accent_wash, p.accent
             label = tr("chat.you")
         else:
-            align, bg, label_color = "left", p["bot_bg"], p["bot_label"]
+            align, bg, label_color = "left", p.surface_raised, p.success
             label = tr("help_agent.title")
         return (
             f'<table width="100%" cellspacing="0" cellpadding="0"><tr>'
             f'<td align="{align}">'
             f'<table width="80%" cellspacing="0" cellpadding="7" bgcolor="{bg}"><tr>'
-            f'<td style="color:{p["text"]};">'
+            f'<td style="color:{p.text};">'
             f'<b style="color:{label_color};">{label}</b><br>{text}'
             f'</td></tr></table></td></tr></table>'
             '<div style="line-height:6px;">&nbsp;</div>'   # gap between turns
@@ -388,9 +465,18 @@ class HelpAgentWidget(QWidget):
         self.send_btn.setEnabled(not busy)
 
     def retranslate(self) -> None:
+        # The transcript is rendered HTML, so switching language left the
+        # greeting — and every "AI Assistant" speaker label — in the language
+        # the panel was built in.
+        if self._history and self._history[0] is self._greet_msg:
+            self._greet_msg["content"] = self._greeting()
+        self._render()
         self.title.setText(tr("help_agent.title"))
         self.input.setPlaceholderText(tr("help_agent.placeholder"))
-        self.launcher.setToolTip(tr("help_agent.open_tooltip"))
+        self.launcher.setToolTip(
+            f'{tr("help_agent.open_tooltip")} · {tr("help_agent.dot_hint")}')
+        if self.launcher.open:
+            self.launcher.setText(f"  {tr('help_agent.badge')}")
+            self._layout_launcher()
         self.min_btn.setToolTip(tr("help_agent.collapse_tooltip"))
-        self.collapse_btn.setToolTip(tr("help_agent.hide_tooltip"))
         self.edge_tab.setToolTip(tr("help_agent.show_tooltip"))
diff --git a/ui/icons.py b/ui/icons.py
index 1307367..a91160c 100644
--- a/ui/icons.py
+++ b/ui/icons.py
@@ -21,7 +21,12 @@ from PySide6.QtGui import QBrush, QColor, QIcon, QPainter, QPen, QPixmap
 from PySide6.QtSvg import QSvgRenderer
 from PySide6.QtWidgets import QComboBox, QHBoxLayout, QLabel, QWidget
 
-_COLOR = "#8b8d98"  # neutral grey, visible on both light and dark buttons
+def _default_color() -> str:
+    """The default icon tint: the theme's muted text colour, so glyphs sit at
+    the same weight as the labels beside them. Resolved per call — icons are
+    painted bitmaps, so a theme switch must repaint them, not restyle them."""
+    from ..theme import current_palette
+    return current_palette().text_muted
 
 
 def _hidpi_pixmap(size: int) -> QPixmap:
@@ -230,10 +235,11 @@ def icon_picker_combo(current: str = "") -> QComboBox:
     return combo
 
 
-def icon(name: str, size: int = 16, color: str = _COLOR) -> QIcon:
+def icon(name: str, size: int = 16, color: str | None = None) -> QIcon:
     """A flat thin-line icon for ``name`` (see ``_PATHS`` for the full list),
     tinted ``color`` — rendered from local SVG data, no image files/network.
     Stroke width 1.7 matches the Nova Platform web app's shared icon set."""
+    color = color or _default_color()
     # A user-added custom icon (full SVG under ~/.cowork_local/icons) is rendered
     # as-is (keeps its own colours). Then built-in glyphs; then a neutral fallback.
     if name not in _PATHS:
@@ -264,9 +270,10 @@ def icon(name: str, size: int = 16, color: str = _COLOR) -> QIcon:
     return QIcon(pm)
 
 
-def _panel_icon(fill_left: bool, size: int = 16, color: str = _COLOR) -> QIcon:
+def _panel_icon(fill_left: bool, size: int = 16, color: str | None = None) -> QIcon:
     """A rounded panel split by a divider, with one narrow side filled solid
     (the 'sidebar' toggle look)."""
+    color = color or _default_color()
     pm = _hidpi_pixmap(size)
     p = QPainter(pm)
     p.setRenderHint(QPainter.Antialiasing)
@@ -302,19 +309,24 @@ def collapse_right_icon() -> QIcon:
     return _panel_icon(fill_left=False)
 
 
-def pixmap(name: str, size: int = 16, color: str = _COLOR) -> QPixmap:
+def pixmap(name: str, size: int = 16, color: str | None = None) -> QPixmap:
     """The line-icon ``name`` as a QPixmap (for QLabel.setPixmap — QLabel has no
     setIcon). Same glyph/renderer as ``icon()``."""
     return icon(name, size, color).pixmap(size, size)
 
 
-# Status-LED colors — a filled dot, the one place a solid glyph (not a line
+# Status-LED colours — a filled dot, the one place a solid glyph (not a line
 # icon) is the right metaphor for an on/off/running indicator.
-DOT_GREEN = "#22c55e"
-DOT_RED = "#ef4444"
-DOT_AMBER = "#f59e0b"
-DOT_BLUE = "#3b82f6"
-DOT_GREY = "#9ca3af"
+#
+# Deliberately the SAME in light and dark. An LED means one thing regardless of
+# theme, and these mid-saturation hues clear 3:1 against both #0B0B0C and
+# #FFFFFF, so a status dot never has to be re-learned. Everything else in the
+# UI goes through theme.palette(); this is the documented exception.
+DOT_GREEN = "#2EA043"
+DOT_RED = "#E5484D"
+DOT_AMBER = "#B7791F"
+DOT_BLUE = "#4C7BE8"
+DOT_GREY = "#8B8B94"
 
 
 def dot_icon(color: str = DOT_GREY, size: int = 12) -> QIcon:
@@ -338,7 +350,7 @@ class IconLabel(QWidget):
     status labels (lock/unlock, …) keep working."""
 
     def __init__(self, name: str, text: str = "", *, size: int = 16,
-                 color: str = _COLOR, gap: int = 6, parent=None):
+                 color: str | None = None, gap: int = 6, parent=None):
         super().__init__(parent)
         self._size = size
         lay = QHBoxLayout(self)
@@ -357,7 +369,7 @@ class IconLabel(QWidget):
     def setText(self, text: str) -> None:  # noqa: N802 — QLabel-compatible alias
         self._text.setText(text)
 
-    def set_icon(self, name: str, color: str = _COLOR) -> None:
+    def set_icon(self, name: str, color: str | None = None) -> None:
         self._icon.setPixmap(pixmap(name, self._size, color))
 
     def text_label(self) -> QLabel:
diff --git a/ui/icons_admin_tab.py b/ui/icons_admin_tab.py
index 6ba27d2..6e43a2d 100644
--- a/ui/icons_admin_tab.py
+++ b/ui/icons_admin_tab.py
@@ -22,6 +22,7 @@ from .icons import icon
 
 def _grid() -> QListWidget:
     g = QListWidget()
+    g.setObjectName("iconGrid")   # accent border on hover/selection, see theme.py
     g.setViewMode(QListWidget.IconMode)
     g.setResizeMode(QListWidget.Adjust)
     g.setMovement(QListWidget.Static)
@@ -36,34 +37,44 @@ class IconsAdminTab(QWidget):
         super().__init__()
         self.ctx = ctx
         root = QVBoxLayout(self)
-        self._hint = QLabel(); self._hint.setObjectName("hint"); self._hint.setWordWrap(True)
-        root.addWidget(self._hint)
-
-        # search over built-in names
-        self.search = QLineEdit()
-        self.search.textChanged.connect(self._reload_builtin)
-        root.addWidget(self.search)
-
-        self._builtin_lbl = QLabel()
-        root.addWidget(self._builtin_lbl)
-        self.builtin_grid = _grid()
-        root.addWidget(self.builtin_grid, 2)
-
-        self._custom_lbl = QLabel()
-        root.addWidget(self._custom_lbl)
-        self.custom_grid = _grid()
-        root.addWidget(self.custom_grid, 1)
-
-        btns = QHBoxLayout()
+        # Header row: the three actions sit beside the title, where the drawing
+        # puts them, instead of in a strip below the two grids where they read
+        # as belonging to the custom grid alone.
+        head = QHBoxLayout()
+        self._title = QLabel()
+        self._title.setObjectName("monTitle")
+        head.addWidget(self._title)
+        head.addStretch(1)
         self.add_btn = QPushButton(); self.add_btn.setIcon(icon("plus"))
         self.add_btn.clicked.connect(self._add_icon)
         self.paste_btn = QPushButton()
         self.paste_btn.clicked.connect(self._add_from_svg_text)
         self.del_btn = QPushButton(); self.del_btn.setIcon(icon("trash"))
         self.del_btn.clicked.connect(self._delete_icon)
-        btns.addWidget(self.add_btn); btns.addWidget(self.paste_btn)
-        btns.addWidget(self.del_btn); btns.addStretch(1)
-        root.addLayout(btns)
+        for b in (self.add_btn, self.paste_btn, self.del_btn):
+            head.addWidget(b)
+        root.addLayout(head)
+
+        self._hint = QLabel(); self._hint.setObjectName("hint"); self._hint.setWordWrap(True)
+        root.addWidget(self._hint)
+
+        # search over built-in names, with the magnifier the drawing asks for
+        self.search = QLineEdit()
+        self.search.addAction(icon("search"), QLineEdit.LeadingPosition)
+        self.search.textChanged.connect(self._reload_builtin)
+        root.addWidget(self.search)
+
+        self._builtin_lbl = QLabel()
+        self._builtin_lbl.setObjectName("navSectionHdr")   # quiet caps heading
+        root.addWidget(self._builtin_lbl)
+        self.builtin_grid = _grid()
+        root.addWidget(self.builtin_grid, 2)
+
+        self._custom_lbl = QLabel()
+        self._custom_lbl.setObjectName("navSectionHdr")
+        root.addWidget(self._custom_lbl)
+        self.custom_grid = _grid()
+        root.addWidget(self.custom_grid, 1)
 
         on_language_changed(self._retranslate)
         self._retranslate()
@@ -131,10 +142,13 @@ class IconsAdminTab(QWidget):
         self._reload_custom()
 
     def _retranslate(self) -> None:
+        self._title.setText(tr("monitoring.tab_icons"))
         self._hint.setText(tr("icons_admin.hint"))
         self.search.setPlaceholderText(tr("icons_admin.search"))
-        self._builtin_lbl.setText(tr("icons_admin.builtin"))
-        self._custom_lbl.setText(tr("icons_admin.custom"))
+        # ICON TÍCH HỢP / ICON TÙY CHỈNH — caps, like every other section
+        # heading the audit page draws.
+        self._builtin_lbl.setText(tr("icons_admin.builtin").upper())
+        self._custom_lbl.setText(tr("icons_admin.custom").upper())
         self.add_btn.setText(tr("icons_admin.add"))
         self.paste_btn.setText(tr("icons_admin.paste"))
         self.del_btn.setText(tr("icons_admin.delete"))
diff --git a/ui/monitoring_tab.py b/ui/monitoring_tab.py
index 699ce12..ddc30c7 100644
--- a/ui/monitoring_tab.py
+++ b/ui/monitoring_tab.py
@@ -24,20 +24,24 @@ import time
 from datetime import datetime
 from typing import List
 
-from PySide6.QtCore import Qt, QTimer, Signal
-from PySide6.QtGui import QBrush, QColor
+from PySide6.QtCore import Qt, QEvent, QObject, QRect, QSize, QTimer, Signal
+from PySide6.QtGui import (
+    QBrush, QColor, QFont, QGuiApplication, QIcon, QKeySequence, QPainter,
+    QPixmap, QShortcut,
+)
 from PySide6.QtWidgets import (
-    QComboBox, QGridLayout, QGroupBox, QHBoxLayout,
+    QApplication, QComboBox, QGridLayout, QGroupBox, QHBoxLayout,
     QHeaderView, QLabel, QLineEdit, QProgressBar, QPushButton, QScrollArea,
-    QTableWidget, QTableWidgetItem, QTabWidget, QVBoxLayout, QWidget,
+    QSplitter, QTableWidget, QTableWidgetItem, QTabWidget, QVBoxLayout, QWidget,
 )
 
 from ..core import agent_roles, audit_log
 from ..core import usage_tracker as ut
 from ..i18n import on_language_changed, tr
 from ..state import AppContext
+from ..theme import current_palette
 from .icons import icon, DOT_GREEN, DOT_RED, DOT_AMBER
-from .widgets import BudgetCard, StatCard, fmt_tokens
+from .widgets import BudgetCard, StatCard, badge_pill_widget, fmt_tokens
 
 _REFRESH_MS = 3000
 _MAX_ROWS = 300
@@ -51,6 +55,59 @@ def _fmt_bytes(n: float) -> str:
     return f"{n:.1f} TB"
 
 
+def _fmt_event_time(ts: str) -> str:
+    """"dd/MM hh:mm" for the Time column — e.g. 25/05 15:03."""
+    try:
+        dt = datetime.fromisoformat(ts)
+    except (TypeError, ValueError):
+        return ts
+    return dt.strftime("%d/%m %H:%M")
+
+
+def _agent_initials(name: str) -> str:
+    """First letter of each word, max 2 — ``ini()`` in ui-audit_v2.html."""
+    return "".join(w[0] for w in name.split() if w)[:2].upper()
+
+
+def _agent_avatar_colour(name: str) -> str:
+    """Same mapping as ``ac()`` in ui-audit_v2.html — a fixed identity colour
+    per agent kind, unchanged by theme (like the mockup's badge colours)."""
+    if "Security" in name:
+        return "#D13438"
+    if "Cowork" in name:
+        return "#0078D4"
+    if name == "schedule" or "Task" in name:
+        return "#FFB900"
+    if name == "graphrag" or "Knowledge" in name:
+        return "#8764B8"
+    if "Code" in name:
+        return "#107C10"
+    if "Planner" in name or "Reasoning" in name:
+        return "#8A8886"
+    return "#0078D4"
+
+
+def _agent_avatar_icon(name: str, size: int = 20) -> QIcon:
+    """A small round initials badge for the Agent column — 1:1 with the
+    ``.wf .av`` avatar in ui-audit_v2.html (colour-coded circle + up to
+    2-letter initials, drawn to the left of the agent's name)."""
+    pm = QPixmap(size, size)
+    pm.fill(Qt.transparent)
+    p = QPainter(pm)
+    p.setRenderHint(QPainter.Antialiasing)
+    p.setPen(Qt.NoPen)
+    p.setBrush(QColor(_agent_avatar_colour(name)))
+    p.drawEllipse(0, 0, size, size)
+    font = QFont()
+    font.setPixelSize(max(7, size // 2))
+    font.setBold(True)
+    p.setFont(font)
+    p.setPen(QColor("#FFFFFF"))
+    p.drawText(pm.rect(), Qt.AlignCenter, _agent_initials(name))
+    p.end()
+    return QIcon(pm)
+
+
 def _relative_time(ts: str) -> str:
     """A short "Xm ago"-style string for an audit-log ``ts`` (naive local
     ISO timestamp, see ``audit_log.record``); "" if unparsable."""
@@ -68,29 +125,73 @@ def _relative_time(ts: str) -> str:
     return tr("monitoring.time_days_ago", n=int(delta // 86400))
 
 
+class _TimeItem(QTableWidgetItem):
+    """The Time column shows "dd/MM hh:mm", which does not sort correctly as
+    text (day-of-month leads, not year/month) — so sorting compares the raw
+    ISO ``ts`` each item is built from instead of its displayed text."""
+
+    def __init__(self, raw_ts: str, display: str):
+        super().__init__(display)
+        self._raw_ts = raw_ts
+
+    def __lt__(self, other):
+        if isinstance(other, _TimeItem):
+            return self._raw_ts < other._raw_ts
+        return super().__lt__(other)
+
+
 class _EventTable(QTableWidget):
     """A read-only table of audit-log events — newest-first by default, and
     every column header is click-to-sort (ascending/descending toggle; the
-    Time column's ISO timestamps sort correctly as text)."""
+    Time column sorts by the underlying ISO timestamp, not its "dd/MM hh:mm"
+    display text — see :class:`_TimeItem`)."""
 
-    def __init__(self):
-        super().__init__(0, 7)
+    # What each blocked action is, as a colour. Security events all record
+    # ok=False, so the tick/cross column said the same thing on every row; the
+    # useful distinction is WHICH rule fired.
+    _ACTION_TINTS = {
+        "prompt": "accent",
+        "dangerous_command": "danger",
+        "run_command": "danger",
+        "install_package": "warning",
+        "path_outside_sandbox": "success",
+        "network_blocked": "accent",
+        "secret_in_output": "warning",
+    }
+
+    def __init__(self, show_result: bool = True):
+        # Security Events drops the result column entirely (see _ACTION_TINTS).
+        self._show_result = show_result
+        super().__init__(0, 7 if show_result else 6)
         self.setEditTriggers(QTableWidget.NoEditTriggers)
         self.setSelectionBehavior(QTableWidget.SelectRows)
+        self.setIconSize(QSize(20, 20))   # ~1.25x the mockup's 16x16 avatar badge
         self.verticalHeader().setVisible(False)
+        # Fixed row height — letting Qt auto-size rows from content fought with
+        # the Hành động column's cell widget (its layout would settle on a
+        # stale, oversized geometry from an intermediate sizing pass, clipping
+        # the pill's text). A fixed height sidesteps that entirely.
+        self.verticalHeader().setSectionResizeMode(QHeaderView.Fixed)
+        self.verticalHeader().setDefaultSectionSize(32)
         self.setSortingEnabled(True)
         header = self.horizontalHeader()
         header.setStretchLastSection(True)
-        for col in range(6):
+        for col in range(self.columnCount() - 1):
             header.setSectionResizeMode(col, QHeaderView.ResizeToContents)
 
     def retranslate(self) -> None:
-        self.setHorizontalHeaderLabels([
-            tr("monitoring.col_time"), tr("monitoring.col_role"),
-            tr("monitoring.col_account"), tr("monitoring.col_machine"),
-            tr("monitoring.col_name"), tr("monitoring.col_result"),
-            tr("monitoring.col_detail"),
-        ])
+        # Security Events (show_result=False) is the ui-audit_v2.html
+        # wireframe's table 1:1 — "Agent" and "Chi tiết chặn", not the
+        # longer generic wording MCP/Action Logs share.
+        cols = [tr("monitoring.col_time"),
+                tr("monitoring.col_agent") if not self._show_result else tr("monitoring.col_role"),
+                tr("monitoring.col_account"), tr("monitoring.col_machine")]
+        if self._show_result:
+            cols += [tr("monitoring.col_name"), tr("monitoring.col_result")]
+        else:
+            cols += [tr("monitoring.col_action")]
+        cols += [tr("monitoring.col_detail_block") if not self._show_result else tr("monitoring.col_detail")]
+        self.setHorizontalHeaderLabels(cols)
 
     def set_events(self, events: List[dict]) -> None:
         events = sorted(events, key=lambda e: e.get("ts", ""), reverse=True)[:_MAX_ROWS]
@@ -101,14 +202,47 @@ class _EventTable(QTableWidget):
             cells = [
                 ev.get("ts", ""), agent_roles.label_for(ev.get("agent_role", "")),
                 ev.get("account", "") or "—", ev.get("machine", "") or "—",
-                ev.get("name", ""), "",
-                (ev.get("detail") or "")[:300],
+                ev.get("name", ""),
             ]
+            if self._show_result:
+                cells.append("")
+            cells.append((ev.get("detail") or "")[:300])
+            pal = current_palette()
             for col, text in enumerate(cells):
-                item = QTableWidgetItem(str(text))
-                if col == 5:   # Result — green check / red close icon (no emoji)
+                item = (_TimeItem(str(text), _fmt_event_time(str(text))) if col == 0
+                        else QTableWidgetItem(str(text)))
+                if col == 0:
+                    # Stash the full event (untruncated detail included) on the
+                    # Time cell, so a click-to-open detail panel survives the
+                    # user re-sorting the table by any column.
+                    item.setData(Qt.UserRole, ev)
+                if col == 1:
+                    # Agent — colour-coded initials avatar (see ui-audit_v2.html).
+                    item.setIcon(_agent_avatar_icon(str(text)))
+                if self._show_result and col == 5:
+                    # Result — green check / red close icon (no emoji)
                     item.setIcon(icon("check", color=DOT_GREEN) if ev.get("ok")
                                  else icon("close", color=DOT_RED))
+                if not self._show_result and col == 4:
+                    # Human-readable label ("Path ngoài sandbox"), not the raw
+                    # audit_log name ("path_outside_sandbox") — same wording as
+                    # the detail panel's Loại field (_action_label). Tinted by
+                    # which rule fired, via the ITEM's own colours — NOT a
+                    # setCellWidget() pill: a cell widget is pinned to a (row,
+                    # column) screen position, not to the item that travels
+                    # with a sort, so the table's OWN re-sort (every refresh()
+                    # re-applies the active sort indicator, and a user click on
+                    # any column header does too) left a stale pill floating
+                    # over whatever row ended up at that position instead —
+                    # the "wrong colour/text peeking out" glitch.
+                    tint = getattr(pal, self._ACTION_TINTS.get(
+                        ev.get("name", ""), "text_muted"), pal.text_muted)
+                    item.setText(_action_label(str(text)))
+                    colour = QColor(tint)
+                    item.setForeground(QBrush(colour))
+                    soft = QColor(colour)
+                    soft.setAlpha(38)
+                    item.setBackground(QBrush(soft))
                 if is_admin_violation:
                     item.setBackground(QBrush(QColor(229, 72, 77, 60)))
                 self.setItem(row, col, item)
@@ -127,6 +261,322 @@ class _EventTable(QTableWidget):
                 for col in range(self.columnCount()))
             self.setRowHidden(row, not match)
 
+    def event_at_row(self, row: int) -> dict | None:
+        item = self.item(row, 0)
+        return item.data(Qt.UserRole) if item else None
+
+
+def _fmt_event_time_full(ts: str) -> str:
+    """"dd/MM/yyyy · HH:mm:ss" — the detail panel's Thời gian field, per
+    ``fmtFull()`` in ui-audit_v2.html (the table's own Time column uses the
+    shorter ``_fmt_event_time`` instead)."""
+    try:
+        dt = datetime.fromisoformat(ts)
+    except (TypeError, ValueError):
+        return ts
+    return dt.strftime("%d/%m/%Y · %H:%M:%S")
+
+
+def _event_id(ts: str, row: int) -> str:
+    """A display-only id in the ``evt_<timestamp digits>_<row>`` shape the
+    mockup uses — the real audit log has no native event id, so this is
+    derived from the timestamp and the row's position in the currently
+    displayed (sorted) table, not persisted anywhere."""
+    digits = "".join(ch for ch in ts if ch.isdigit())[:12]
+    return f"evt_{digits}_{row:03d}"
+
+
+# Human label for the raw ``name`` an audit event is recorded under — the
+# "Loại" field in the detail panel. Anything not in this map (custom tool
+# names, etc.) just shows its raw name, same as the table's Hành động column.
+_ACTION_LABEL_KEYS = {
+    "prompt": "monitoring.action_prompt",
+    "dangerous_command": "monitoring.action_dangerous_command",
+    "run_command": "monitoring.action_dangerous_command",
+    "install_package": "monitoring.action_install_package",
+    "path_outside_sandbox": "monitoring.action_path_outside_sandbox",
+    "network_blocked": "monitoring.action_network_blocked",
+    "secret_in_output": "monitoring.action_secret_in_output",
+}
+
+
+def _action_label(name: str) -> str:
+    key = _ACTION_LABEL_KEYS.get(name)
+    return tr(key) if key else name
+
+
+# (badge QSS object name, i18n key) for the "Trạng thái" pill — statusInfo()
+# in ui-audit_v2.html, mapped onto the app's existing badge* tones (theme.py)
+# rather than adding the mockup's one-off teal/orange hues.
+_STATUS_INFO = {
+    "path_outside_sandbox": ("badgeSuccess", "monitoring.status_path"),
+    "network_blocked": ("badge", "monitoring.status_network"),
+    "secret_in_output": ("badgeWarn", "monitoring.status_secret"),
+}
+_STATUS_DEFAULT = ("badgePurple", "monitoring.status_blocked")
+
+
+def _status_info(name: str, kind: str = "security_block", ok: bool = False) -> tuple[str, str]:
+    if name in _STATUS_INFO:
+        return _STATUS_INFO[name]
+    if kind == "security_block":
+        # Security Events rows are always ok=False (see _EventTable's
+        # _ACTION_TINTS comment) — an unmapped name here still means "blocked
+        # by some rule", never a plain failure.
+        return _STATUS_DEFAULT
+    # MCP calls / generic Action Logs rows: no fixed enforcement-rule
+    # vocabulary applies, so fall back to the event's own ok/fail outcome.
+    return ("badgeSuccess", "monitoring.status_ok") if ok else ("badgeDanger", "monitoring.status_failed")
+
+
+def _severity_info(name: str, kind: str = "security_block", ok: bool = False) -> tuple[str, str]:
+    # Same two-tier read as ui-audit_v2.html's mock: an unapproved shell
+    # command is the one CRITICAL case; everything else blocked is MEDIUM.
+    if name in ("dangerous_command", "run_command"):
+        return "badgeDanger", "monitoring.severity_critical"
+    if kind == "security_block":
+        return "badgeWarn", "monitoring.severity_medium"
+    # A successful MCP call / action is routine (INFO); a failed one still
+    # deserves the same MEDIUM tone Security Events uses for a blocked rule.
+    return ("badge", "monitoring.severity_info") if ok else ("badgeWarn", "monitoring.severity_medium")
+
+
+def _agent_badge_name(name: str) -> str:
+    """Badge tone for the Agent field's pill — the same identity-colour
+    mapping ``_agent_avatar_colour``/``ac()`` (ui-audit_v2.html) uses,
+    expressed as one of the shared badge* QSS classes (theme.py) instead of a
+    literal hex, since this pill lives on a themed label, not a custom swatch."""
+    if "Security" in name:
+        return "badgeDanger"
+    if "Cowork" in name:
+        return "badge"
+    if name == "schedule":
+        return "badgeWarn"
+    if name == "graphrag":
+        return "badgePurple"
+    if "Code" in name:
+        return "badgeSuccess"
+    return "badge"
+
+
+_STATIC_POLICY_LABEL = "security_policy_v2"  # cosmetic label only — no real policy-versioning system exists yet
+
+
+class _EventDetailPanel(QWidget):
+    """Right-hand "Chi tiết sự kiện" panel — the full record behind whichever
+    row is selected in an :class:`_EventTable`, laid out to match the
+    "Đề xuất" detail panel in ui-audit_v2.html (openDetail()): three labelled
+    sections, a terminal-style block quote for the detail text, and a
+    METADATA footer, closed by the header ✕, the footer button, Esc, or a
+    click outside the table/panel (see :class:`_ClickOutsideCloser`)."""
+
+    closed = Signal()
+
+    def __init__(self):
+        super().__init__()
+        self.setObjectName("monSection")
+        self._detail_text = ""
+        outer = QVBoxLayout(self)
+
+        hdr = QHBoxLayout()
+        self._title_lbl = QLabel()
+        self._title_lbl.setStyleSheet("font-weight:700;")
+        hdr.addWidget(self._title_lbl, 1)
+        self._close_btn = QPushButton()
+        self._close_btn.setIcon(icon("close"))
+        self._close_btn.setFlat(True)
+        self._close_btn.setFixedWidth(28)
+        self._close_btn.setCursor(Qt.PointingHandCursor)
+        self._close_btn.clicked.connect(self.closed.emit)
+        hdr.addWidget(self._close_btn)
+        outer.addLayout(hdr)
+
+        scroll = QScrollArea()
+        scroll.setWidgetResizable(True)
+        scroll.setFrameShape(QScrollArea.NoFrame)
+        body = QWidget()
+        self._body_lay = QVBoxLayout(body)
+        self._body_lay.setContentsMargins(0, 0, 4, 0)
+        scroll.setWidget(body)
+        outer.addWidget(scroll, 1)
+
+        self._section_hdrs: list[tuple[str, QLabel]] = []
+        self._rows: dict[str, tuple[QLabel, QLabel]] = {}
+
+        def _section(key: str) -> None:
+            lbl = QLabel()
+            lbl.setObjectName("detailSectionHdr")
+            self._body_lay.addWidget(lbl)
+            self._section_hdrs.append((key, lbl))
+
+        def _field(key: str) -> QLabel:
+            r = QHBoxLayout()
+            lbl = QLabel()
+            lbl.setObjectName("hint")
+            val = QLabel()
+            r.addWidget(lbl)
+            r.addStretch(1)
+            r.addWidget(val)
+            self._body_lay.addLayout(r)
+            self._rows[key] = (lbl, val)
+            return val
+
+        _section("general")
+        _field("time")
+        self._agent_val = _field("agent")
+        _field("account")
+        self._machine_val = _field("machine")
+        self._machine_val.setObjectName("monoChip")
+
+        _section("action")
+        self._type_val = _field("type")
+        self._type_val.setObjectName("neutralTag")
+        self._status_val = _field("status")
+
+        _section("block")
+        code_box = QWidget()
+        code_box.setObjectName("detailCodeBlock")
+        code_lay = QHBoxLayout(code_box)
+        code_lay.setContentsMargins(8, 6, 8, 6)
+        self._code_text = QLabel()
+        self._code_text.setObjectName("detailCodeText")
+        self._code_text.setWordWrap(True)
+        self._code_text.setTextInteractionFlags(Qt.TextSelectableByMouse)
+        code_lay.addWidget(self._code_text, 1)
+        self._copy_btn = QPushButton()
+        self._copy_btn.setObjectName("detailCopyBtn")
+        self._copy_btn.setCursor(Qt.PointingHandCursor)
+        self._copy_btn.clicked.connect(self._copy_detail)
+        code_lay.addWidget(self._copy_btn, 0, Qt.AlignVCenter)
+        self._body_lay.addWidget(code_box)
+
+        _section("metadata")
+        self._event_id_val = _field("event_id")
+        self._event_id_val.setObjectName("monoChip")
+        self._policy_val = _field("policy")
+        self._severity_val = _field("severity")
+
+        self._body_lay.addStretch(1)
+
+        footer = QHBoxLayout()
+        footer.setContentsMargins(0, 6, 0, 0)
+        self._footer_close_btn = QPushButton()
+        self._footer_close_btn.setObjectName("primary")
+        self._footer_close_btn.setCursor(Qt.PointingHandCursor)
+        self._footer_close_btn.clicked.connect(self.closed.emit)
+        footer.addWidget(self._footer_close_btn, 1)
+        outer.addLayout(footer)
+
+    @staticmethod
+    def _apply_badge(label: QLabel, object_name: str) -> None:
+        label.setObjectName(object_name)
+        label.style().unpolish(label)
+        label.style().polish(label)
+
+    def retranslate(self) -> None:
+        self._title_lbl.setText(tr("monitoring.security_detail_title"))
+        self._close_btn.setToolTip(tr("monitoring.security_detail_close"))
+        self._footer_close_btn.setText(tr("monitoring.security_detail_close"))
+        self._footer_close_btn.setIcon(icon("close"))
+        section_keys = {
+            "general": "monitoring.detail_section_general",
+            "action": "monitoring.detail_section_action",
+            "block": "monitoring.col_detail_block",
+            "metadata": "monitoring.detail_section_metadata",
+        }
+        for key, lbl in self._section_hdrs:
+            lbl.setText(tr(section_keys[key]).upper())
+        self._rows["time"][0].setText(tr("monitoring.col_time"))
+        self._rows["agent"][0].setText(tr("monitoring.col_agent"))
+        self._rows["account"][0].setText(tr("monitoring.col_account"))
+        self._rows["machine"][0].setText(tr("monitoring.col_machine"))
+        self._rows["type"][0].setText(tr("monitoring.detail_type"))
+        self._rows["status"][0].setText(tr("monitoring.detail_status"))
+        self._rows["event_id"][0].setText(tr("monitoring.detail_event_id"))
+        self._rows["policy"][0].setText(tr("monitoring.detail_policy"))
+        self._rows["severity"][0].setText(tr("monitoring.detail_severity"))
+        if not self._copy_btn.text() or self._copy_btn.text() != tr("monitoring.detail_copied"):
+            self._reset_copy_btn()
+
+    def show_event(self, ev: dict, row: int) -> None:
+        na = "—"
+        self._rows["time"][1].setText(_fmt_event_time_full(ev.get("ts", "")) or na)
+
+        agent_label = agent_roles.label_for(ev.get("agent_role", "")) or na
+        self._agent_val.setText(agent_label)
+        self._apply_badge(self._agent_val,
+                          _agent_badge_name(agent_label) if agent_label != na else "badge")
+
+        self._rows["account"][1].setText(ev.get("account", "") or na)
+        self._machine_val.setText(ev.get("machine", "") or na)
+
+        name = ev.get("name", "")
+        kind = ev.get("kind", "security_block")
+        ok = ev.get("ok", False)
+        self._type_val.setText(_action_label(name) or na)
+        status_badge, status_key = _status_info(name, kind, ok)
+        self._status_val.setText(tr(status_key))
+        self._apply_badge(self._status_val, status_badge)
+
+        self._detail_text = ev.get("detail", "") or na
+        self._code_text.setText(self._detail_text)
+        self._reset_copy_btn()
+
+        self._event_id_val.setText(_event_id(ev.get("ts", ""), row))
+        # The static policy label names a real enforcement ruleset — only
+        # meaningful for a Security Events row; MCP calls/generic actions
+        # were never evaluated against it.
+        self._policy_val.setText(_STATIC_POLICY_LABEL if kind == "security_block" else na)
+        severity_badge, severity_key = _severity_info(name, kind, ok)
+        self._severity_val.setText(tr(severity_key))
+        self._apply_badge(self._severity_val, severity_badge)
+
+    def _copy_detail(self) -> None:
+        QGuiApplication.clipboard().setText(self._detail_text)
+        self._copy_btn.setText(tr("monitoring.detail_copied"))
+        self._copy_btn.setIcon(icon("check"))
+        QTimer.singleShot(1500, self._reset_copy_btn)
+
+    def _reset_copy_btn(self) -> None:
+        self._copy_btn.setText(tr("monitoring.detail_copy"))
+        self._copy_btn.setIcon(icon("document"))
+
+
+class _ClickOutsideCloser(QObject):
+    """Closes the event-detail panel on a click anywhere outside the
+    table/panel splitter — a row click changes the selection instead (its
+    own handler), so this only needs to catch everything else: the search
+    box, another tab, the nav rail… mirrors the document-level "click
+    outside the panel" listener in ui-audit_v2.html.
+
+    Judged by screen-space GEOMETRY (is the click's global position inside
+    the splitter's on-screen rectangle), not by which exact widget object
+    received the event. Two earlier attempts both broke on the splitter's
+    drag handle: ``QApplication.widgetAt(globalPos)`` re-hit-tests through
+    the window server rather than using what Qt actually delivered the event
+    to, and even the delivered ``obj`` isn't reliable mid-drag — the handle
+    grabs the mouse and Qt's internal drag bookkeeping doesn't always hand
+    back the same widget identity a plain ``isAncestorOf`` check expects.
+    A geometric rect containment check has neither problem: it doesn't care
+    which sub-widget (viewport, cell widget, scrollbar, handle) the event
+    was actually delivered to, only whether the click landed on-screen
+    within the container's bounds."""
+
+    def __init__(self, table: "_EventTable", panel: "_EventDetailPanel", container: QWidget):
+        super().__init__(container)
+        self._table = table
+        self._panel = panel
+        self._container = container
+
+    def eventFilter(self, obj, event) -> bool:
+        if event.type() == QEvent.MouseButtonPress and self._panel.isVisible():
+            global_pos = event.globalPosition().toPoint()
+            top_left = self._container.mapToGlobal(self._container.rect().topLeft())
+            rect = QRect(top_left, self._container.size())
+            if not rect.contains(global_pos):
+                self._table.clearSelection()
+        return False
+
 
 class MonitoringTab(QWidget):
     status_message = Signal(str)
@@ -145,10 +595,6 @@ class MonitoringTab(QWidget):
         self._title.setStyleSheet("font-weight:700; font-size:15px;")
         head.addWidget(self._title)
         head.addStretch(1)
-        self.refresh_btn = QPushButton()
-        self.refresh_btn.setIcon(icon("refresh"))
-        self.refresh_btn.clicked.connect(self.refresh)
-        head.addWidget(self.refresh_btn)
         root.addLayout(head)
 
         self.tabs = QTabWidget()
@@ -158,25 +604,41 @@ class MonitoringTab(QWidget):
         self.tabs.addTab(self._build_overview_page(), "")
 
         visible = self._tab_visible
-        self.security_table = _EventTable()
-        self.security_page = self._wrap_with_filter(self.security_table)
+        # Security events are always ok=False, so this table trades the
+        # tick/cross column for a tinted Action column (see _EventTable).
+        self.security_table = _EventTable(show_result=False)
+        self.security_page = self._wrap_with_filter(
+            self.security_table, with_detail=True, title_key="monitoring.security_events_title")
         if visible("security_events"):
             self.tabs.addTab(self.security_page, "")
         self.mcp_table = _EventTable()
+        self.mcp_page = self._wrap_with_filter(
+            self.mcp_table, with_detail=True, title_key="monitoring.mcp_history_title")
         if visible("mcp_history"):
-            self.tabs.addTab(self.mcp_table, "")
+            self.tabs.addTab(self.mcp_page, "")
         self.action_table = _EventTable()
-        self.action_page = self._wrap_with_filter(self.action_table)
+        self.action_page = self._wrap_with_filter(
+            self.action_table, with_detail=True, title_key="monitoring.action_logs_title")
         if visible("action_logs"):
             self.tabs.addTab(self.action_page, "")
 
         # ---- Agent Status -------------------------------------------------
         self.status_table = QTableWidget(0, 3)
         self.status_table.setEditTriggers(QTableWidget.NoEditTriggers)
+        # No detail to open on click, no filtering — a plain read-only table,
+        # so selection is off rather than left dangling with no effect (and it
+        # sidesteps the Trạng thái badge's dark-theme rgba() background ever
+        # compositing differently selected vs not — see badge_pill_widget).
+        self.status_table.setSelectionMode(QTableWidget.NoSelection)
         self.status_table.verticalHeader().setVisible(False)
         self.status_table.horizontalHeader().setStretchLastSection(True)
+        self.status_table.horizontalHeader().setSectionResizeMode(0, QHeaderView.ResizeToContents)
+        self.status_table.setColumnWidth(1, 130)   # Trạng thái is a cell widget — size it explicitly
+        self.status_table.setIconSize(QSize(20, 20))
+        self.status_page = self._wrap_with_filter(
+            self.status_table, title_key="monitoring.agent_status_title", with_search=False)
         if visible("agent_status"):
-            self.tabs.addTab(self.status_table, "")
+            self.tabs.addTab(self.status_page, "")
 
         # ---- Agents Admin (catalog: assign a role + pinned model per agent) --
         # The system-management agents (Security, GraphRAG/Knowledge, Monitor…)
@@ -203,8 +665,14 @@ class MonitoringTab(QWidget):
 
         self._timer = QTimer(self)
         # (nav integration methods defined below)
+        # Only the Overview cards auto-refresh on this tick — Security, MCP,
+        # Action Logs, Agent Status (and the Agents Admin/Tools/Icons tabs,
+        # which were never wired to this timer) are read-only tables that a
+        # background re-sort would otherwise disturb mid-interaction (e.g.
+        # while a row is selected or the detail-panel splitter is being
+        # dragged); the user refreshes them explicitly via a "Làm mới" button.
         self._timer.setInterval(_REFRESH_MS)
-        self._timer.timeout.connect(self.refresh)
+        self._timer.timeout.connect(self._auto_refresh)
         self._timer.start()
 
         on_language_changed(self._retranslate)
@@ -217,8 +685,8 @@ class MonitoringTab(QWidget):
         they're correct in every language."""
         by_widget = {self.agents_admin_tab: "robot", self.tools_admin_tab: "wrench",
                      self.icons_admin_tab: "star"}
-        for attr, name in (("security_page", "shield"), ("mcp_table", "plug"),
-                           ("action_page", "bolt"), ("status_table", "monitor")):
+        for attr, name in (("security_page", "shield"), ("mcp_page", "plug"),
+                           ("action_page", "bolt"), ("status_page", "monitor")):
             w = getattr(self, attr, None)
             if w is not None:
                 by_widget[w] = name
@@ -338,26 +806,94 @@ class MonitoringTab(QWidget):
             self.ctx.save()
             self._reload_pricing_table()
 
-    def _wrap_with_filter(self, table: "_EventTable") -> QWidget:
+    def _wrap_with_filter(self, table: QTableWidget, with_detail: bool = False,
+                          title_key: str | None = None, with_search: bool = True) -> QWidget:
         page = QWidget()
         lay = QVBoxLayout(page)
         lay.setContentsMargins(0, 0, 0, 0)
-        row = QHBoxLayout()
-        search = QLineEdit()
-        search.setPlaceholderText(tr("monitoring.filter_placeholder"))
-        search.textChanged.connect(table.apply_filter)
-        ai_btn = QPushButton(tr("monitoring.ai_filter_btn"))
-        ai_btn.setIcon(icon("sparkle"))
-        ai_btn.setToolTip(tr("monitoring.ai_filter_tooltip"))
-        ai_btn.clicked.connect(lambda: self._ai_filter(search, ai_btn))
-        row.addWidget(search, 1)
-        row.addWidget(ai_btn)
-        lay.addLayout(row)
-        lay.addWidget(table, 1)
-        page.filter_edit = search
-        page.ai_filter_btn = ai_btn
+
+        if title_key:
+            # The wireframe titles this tab's content on its own row — "Sự kiện
+            # bảo mật" + a primary Refresh button — separately from the section
+            # tab strip above (which just says "Bảo mật").
+            hdr = QHBoxLayout()
+            title_lbl = QLabel(tr(title_key))
+            title_lbl.setStyleSheet("font-weight:700; font-size:14px;")
+            hdr.addWidget(title_lbl)
+            hdr.addStretch(1)
+            refresh_btn = QPushButton(tr("monitoring.refresh"))
+            refresh_btn.setIcon(icon("refresh"))
+            refresh_btn.setObjectName("primary")
+            refresh_btn.setCursor(Qt.PointingHandCursor)
+            refresh_btn.clicked.connect(self.refresh)
+            hdr.addWidget(refresh_btn)
+            lay.addLayout(hdr)
+            page.title_lbl = title_lbl
+            page.title_key = title_key
+            page.title_refresh_btn = refresh_btn
+
+        if with_search:
+            row = QHBoxLayout()
+            search = QLineEdit()
+            search.setPlaceholderText(tr("monitoring.filter_placeholder"))
+            search.textChanged.connect(table.apply_filter)
+            ai_btn = QPushButton(tr("monitoring.ai_filter_btn"))
+            ai_btn.setIcon(icon("sparkle"))
+            ai_btn.setToolTip(tr("monitoring.ai_filter_tooltip"))
+            ai_btn.setCursor(Qt.PointingHandCursor)
+            ai_btn.clicked.connect(lambda: self._ai_filter(search, ai_btn))
+            row.addWidget(search, 1)
+            row.addWidget(ai_btn)
+            lay.addLayout(row)
+            page.filter_edit = search
+            page.ai_filter_btn = ai_btn
+
+        if with_detail:
+            # Click a row → its full record opens in a "Chi tiết sự kiện" panel
+            # on the right (the table itself clips the detail text to 300 chars).
+            # A pointing-hand cursor over the rows signals that they're clickable.
+            table.setCursor(Qt.PointingHandCursor)
+            detail = _EventDetailPanel()
+            detail.setVisible(False)
+            detail.closed.connect(table.clearSelection)
+            table.itemSelectionChanged.connect(lambda: self._sync_event_detail(table, detail))
+            split = QSplitter(Qt.Horizontal)
+            split.addWidget(table)
+            split.addWidget(detail)
+            split.setStretchFactor(0, 1)
+            split.setStretchFactor(1, 0)
+            split.setChildrenCollapsible(False)
+            split.setSizes([700, 320])
+            lay.addWidget(split, 1)
+            page.detail_panel = detail
+
+            # Esc, anywhere focus is inside this page, closes the panel the
+            # same way the close button does.
+            esc = QShortcut(QKeySequence(Qt.Key_Escape), page)
+            esc.setContext(Qt.WidgetWithChildrenShortcut)
+            esc.activated.connect(table.clearSelection)
+            page.detail_esc_shortcut = esc
+
+            # A click outside both the table and the panel also closes it —
+            # mirrors ui-audit_v2.html's document-level click-outside listener.
+            click_filter = _ClickOutsideCloser(table, detail, split)
+            QApplication.instance().installEventFilter(click_filter)
+            page.detail_click_filter = click_filter
+        else:
+            lay.addWidget(table, 1)
         return page
 
+    def _sync_event_detail(self, table: "_EventTable", panel: "_EventDetailPanel") -> None:
+        # currentRow() alone is not enough: clearSelection() (used by the
+        # panel's close button) drops the selection but leaves the current
+        # cell in place, so a stale currentRow() would keep the panel open.
+        row = table.currentRow()
+        has_selection = bool(table.selectedItems())
+        ev = table.event_at_row(row) if (has_selection and row >= 0) else None
+        if ev:
+            panel.show_event(ev, row)
+        panel.setVisible(bool(ev))
+
     def _ai_filter(self, search: QLineEdit, ai_btn: QPushButton) -> None:
         query = search.text().strip()
         if not query or getattr(self, "_ai_filter_worker", None) is not None:
@@ -403,17 +939,20 @@ class MonitoringTab(QWidget):
         scroll.setWidget(content)
         outer.addWidget(scroll)
 
-        root = QHBoxLayout(content)
+        # ONE main column, scrolled vertically, sections in a fixed order — the
+        # two-column grid put six group boxes side by side and mixed three
+        # unrelated concerns (cost, machine resources, security) at the same
+        # level, which made this the densest screen in the app. Each section now
+        # spans the full width and lays its own contents out horizontally, so a
+        # wide window is still used well.
+        root = QVBoxLayout(content)
         root.setSpacing(12)
-        left = QVBoxLayout()
-        left.setSpacing(12)
-        right = QVBoxLayout()
-        right.setSpacing(12)
-        root.addLayout(left, 2)
-        root.addLayout(right, 1)
+        left = root                     # sections are appended in reading order
+        right = root
 
         # ---- Token Usage & Cost --------------------------------------------
         self.ov_usage_group = QGroupBox()
+        self.ov_usage_group.setObjectName("monSection")
         usage_lay = QGridLayout(self.ov_usage_group)
         usage_lay.setSpacing(8)
         self.ov_usage_total = StatCard()
@@ -421,19 +960,27 @@ class MonitoringTab(QWidget):
         self.ov_usage_out = StatCard()
         self.ov_usage_cache = StatCard()
         self.ov_usage_cost = StatCard()
-        for i, card in enumerate((self.ov_usage_total, self.ov_usage_in, self.ov_usage_out,
-                                  self.ov_usage_cache, self.ov_usage_cost)):
+        self.ov_usage_calls = StatCard()
+        # The wireframe's usage block is five figures: cost (with the turn
+        # count on its label), then Tổng token / Input / Output / Cache. Folding
+        # the last three into a sub-line took their PER-PART COST off screen —
+        # the total tile has room for the token counts but not for three more
+        # prices — and the drawing asks for the tiles anyway.
+        for i, card in enumerate((self.ov_usage_cost, self.ov_usage_total,
+                                  self.ov_usage_in, self.ov_usage_out,
+                                  self.ov_usage_cache)):
             usage_lay.addWidget(card, 0, i)
+        self.ov_usage_calls.setVisible(False)   # rides on the cost tile's label
         # Budget: remaining/budget, direct entry, auto-warns red past 85% used —
         # same box (and same usage.budget_* config) as the Dashboard's.
         self.ov_budget_card = BudgetCard()
         self.ov_budget_card.apply_btn.setIcon(icon("check"))
         self.ov_budget_card.apply_btn.clicked.connect(self._apply_budget)
-        usage_lay.addWidget(self.ov_budget_card, 0, 5, 2, 1)
+        usage_lay.addWidget(self.ov_budget_card, 0, 3)
         # Equal stretch on every column — otherwise the grid sizes each column
         # to its widest cell's natural content (Budget's longer "$X / $Y" value
         # + entry row makes its column wider than the plain stat cards).
-        for col in range(6):
+        for col in range(4):
             usage_lay.setColumnStretch(col, 1)
 
         # Unit prices are NOT entered here anymore — the cost total is computed
@@ -444,41 +991,60 @@ class MonitoringTab(QWidget):
 
         # ---- Recent Activity ----------------------------------------------
         self.ov_activity_group = QGroupBox()
+        self.ov_activity_group.setObjectName("monSection")
         act_lay = QVBoxLayout(self.ov_activity_group)
         self.ov_activity_lbl = QLabel()
         self.ov_activity_lbl.setWordWrap(True)
         self.ov_activity_lbl.setTextFormat(Qt.RichText)
         act_lay.addWidget(self.ov_activity_lbl)
-        left.addWidget(self.ov_activity_group)
+        # added near the bottom, beside the audit log — see below
 
         # ---- Resource Usage -------------------------------------------------
         self.ov_resource_group = QGroupBox()
-        res_lay = QVBoxLayout(self.ov_resource_group)
+        self.ov_resource_group.setObjectName("monSection")
+        # ONE compact line, as the wireframe writes it: name and value sit
+        # together and the pairs are separated by a middle dot, packed left —
+        # spread across the full width they read as four unrelated columns with
+        # the value stranded at the far edge of a 1900px screen.
+        res_lay = QHBoxLayout(self.ov_resource_group)
+        res_lay.setSpacing(6)
+        self._res_first = True
+
+        def _pair():
+            if not self._res_first:
+                sep = QLabel("·")
+                sep.setObjectName("hint")
+                res_lay.addWidget(sep)
+            self._res_first = False
+            lbl = QLabel(); lbl.setObjectName("hint")
+            val = QLabel()
+            res_lay.addWidget(lbl)
+            res_lay.addWidget(val)
+            return lbl, val
 
         def _bar_row():
-            row = QHBoxLayout()
-            lbl = QLabel(); lbl.setFixedWidth(70)
-            bar = QProgressBar(); bar.setFixedHeight(8); bar.setTextVisible(False)
-            val = QLabel(); val.setFixedWidth(90); val.setAlignment(Qt.AlignRight)
-            row.addWidget(lbl); row.addWidget(bar, 1); row.addWidget(val)
-            res_lay.addLayout(row)
+            # The gauge is kept and updated, but off the line: at a glance the
+            # number is what is read, and the bar was drawing a 700px rule.
+            lbl, val = _pair()
+            bar = QProgressBar()
+            bar.setVisible(False)
             return lbl, bar, val
 
         def _text_row():
-            row = QHBoxLayout()
-            lbl = QLabel(); val = QLabel(); val.setAlignment(Qt.AlignRight)
-            row.addWidget(lbl); row.addStretch(1); row.addWidget(val)
-            res_lay.addLayout(row)
-            return lbl, val
+            return _pair()
 
         self.ov_cpu_lbl, self.ov_cpu_bar, self.ov_cpu_val = _bar_row()
         self.ov_mem_lbl, self.ov_mem_bar, self.ov_mem_val = _bar_row()
-        self.ov_disk_lbl, self.ov_disk_val = _text_row()
-        self.ov_network_lbl, self.ov_network_val = _text_row()
+        self.ov_diskfree_lbl, self.ov_diskfree_val = _text_row()
+        # I/O and network rates keep working; they are read from the detail
+        # fold rather than the summary line the wireframe draws.
+        self.ov_disk_lbl, self.ov_disk_val = QLabel(), QLabel()
+        self.ov_network_lbl, self.ov_network_val = QLabel(), QLabel()
         res_lay.addStretch(1)
 
         # ---- Model pricing (beside the CPU/resource group) ------------------
         self.ov_pricing_group = QGroupBox()
+        self.ov_pricing_group.setObjectName("monSection")
         pg = QVBoxLayout(self.ov_pricing_group)
         phdr = QHBoxLayout()
         self.ov_pricing_ccy_lbl = QLabel(); self.ov_pricing_ccy_lbl.setObjectName("hint")
@@ -513,17 +1079,32 @@ class MonitoringTab(QWidget):
         self.ov_pricing_table.setSelectionBehavior(QTableWidget.SelectRows)
         pg.addWidget(self.ov_pricing_table, 1)
 
-        res_row = QHBoxLayout()
-        res_row.setSpacing(12)
-        res_row.addWidget(self.ov_resource_group, 1)
-        res_row.addWidget(self.ov_pricing_group, 2)   # pricing sits beside CPU/resources
-        left.addLayout(res_row)
-        left.addStretch(1)
+        # Resources keep the row to themselves; the model price table gets its
+        # own full-width section further down (it is a reference table, not a
+        # live meter, and squeezing it next to the CPU bars made both unreadable).
+        left.addWidget(self.ov_resource_group)
         self._reload_pricing_table()
 
         # ---- Sandbox Details --------------------------------------------
         self.ov_sandbox_details_group = QGroupBox()
+        self.ov_sandbox_details_group.setObjectName("monSection")
         sbx_lay = QVBoxLayout(self.ov_sandbox_details_group)
+        self.ov_sbx_summary = QLabel()
+        self.ov_sbx_summary.setWordWrap(True)
+        sbx_lay.addWidget(self.ov_sbx_summary)
+        self.ov_sbx_more_btn = QPushButton()
+        self.ov_sbx_more_btn.setObjectName("co4eSectionAction")
+        self.ov_sbx_more_btn.setFlat(True)
+        self.ov_sbx_more_btn.setCheckable(True)
+        self.ov_sbx_more_btn.setCursor(Qt.PointingHandCursor)
+        sbx_lay.addWidget(self.ov_sbx_more_btn, 0, Qt.AlignLeft)
+        self._sbx_detail = QWidget()
+        self._sbx_detail.setVisible(False)
+        self.ov_sbx_more_btn.toggled.connect(self._sbx_detail.setVisible)
+        self.ov_sbx_more_btn.toggled.connect(self._sync_sbx_more_label)
+        sbx_lay.addWidget(self._sbx_detail)
+        sbx_lay = QVBoxLayout(self._sbx_detail)
+        sbx_lay.setContentsMargins(0, 4, 0, 0)
 
         def _kv():
             row = QHBoxLayout()
@@ -551,10 +1132,13 @@ class MonitoringTab(QWidget):
         sbx_lay.addLayout(limits_row)
 
         self.ov_sbx_net_lbl, self.ov_sbx_net_val = _kv()
-        right.addWidget(self.ov_sandbox_details_group)
+        # Sandbox and Permissions answer the same question ("what is the agent
+        # allowed to touch?"), so they share one full-width row.
+        root.addWidget(self.ov_sandbox_details_group)
 
         # ---- Permissions -----------------------------------------------
         self.ov_permissions_group = QGroupBox()
+        self.ov_permissions_group.setObjectName("monSection")
         perm_lay = QVBoxLayout(self.ov_permissions_group)
 
         def _pkv():
@@ -572,11 +1156,19 @@ class MonitoringTab(QWidget):
         self.ov_perm_edit_btn = QPushButton()
         self.ov_perm_edit_btn.setFlat(True)
         self.ov_perm_edit_btn.clicked.connect(self._open_settings_and_refresh)
-        perm_lay.addWidget(self.ov_perm_edit_btn, 0, Qt.AlignRight)
-        right.addWidget(self.ov_permissions_group)
+        perm_lay.addWidget(self.ov_perm_edit_btn, 0, Qt.AlignLeft)
+        # Inside the same fold as the sandbox rows — one section, one line.
+        self._sbx_detail.layout().addWidget(self.ov_permissions_group)
+
+        # ---- Model pricing — its own section, full width ------------------
+        root.addWidget(self.ov_pricing_group)
+
+        # ---- What actually happened, last ---------------------------------
+        root.addWidget(self.ov_activity_group)
 
         # ---- Audit Log ----------------------------------------------------
         self.ov_audit_group = QGroupBox()
+        self.ov_audit_group.setObjectName("monSection")
         audit_lay = QVBoxLayout(self.ov_audit_group)
         self.ov_audit_lbl = QLabel()
         self.ov_audit_lbl.setWordWrap(True)
@@ -616,13 +1208,12 @@ class MonitoringTab(QWidget):
     # ---- i18n ------------------------------------------------------------
     def _retranslate(self) -> None:
         self._title.setText(tr("monitoring.title"))
-        self.refresh_btn.setText(tr("monitoring.refresh"))
         if self.tabs.count():
             self.tabs.setTabText(0, tr("monitoring.tab_overview"))
         self._set_tab_text_if_present(self.security_page, tr("monitoring.tab_security"))
-        self._set_tab_text_if_present(self.mcp_table, tr("monitoring.tab_mcp"))
+        self._set_tab_text_if_present(self.mcp_page, tr("monitoring.tab_mcp"))
         self._set_tab_text_if_present(self.action_page, tr("monitoring.tab_actions"))
-        self._set_tab_text_if_present(self.status_table, tr("monitoring.tab_agents"))
+        self._set_tab_text_if_present(self.status_page, tr("monitoring.tab_agents"))
         self._set_tab_text_if_present(self.agents_admin_tab, tr("monitoring.tab_agents_admin"))
         self._set_tab_text_if_present(self.tools_admin_tab, tr("monitoring.tab_tools"))
         self._set_tab_text_if_present(self.icons_admin_tab, tr("monitoring.tab_icons"))
@@ -630,23 +1221,34 @@ class MonitoringTab(QWidget):
         self.mcp_table.retranslate()
         self.action_table.retranslate()
         self.status_table.setHorizontalHeaderLabels([
-            tr("monitoring.col_agent"), tr("monitoring.col_active"), tr("monitoring.col_source"),
+            tr("monitoring.col_agent"), tr("monitoring.detail_status"), tr("monitoring.col_source"),
         ])
 
-        self.ov_usage_group.setTitle(tr("monitoring.overview_usage_title"))
+        # A QGroupBox title treats "&" as a mnemonic marker, so "token & Chi
+        # phí" rendered as "token _Chi phí". Double it to show a literal "&".
+        self.ov_usage_group.setTitle(
+            tr("monitoring.overview_usage_title").upper().replace("&", "&&"))
         self.ov_budget_card.apply_btn.setToolTip(tr("usage.budget_apply_tooltip"))
         self.ov_budget_card.budget_spin.setToolTip(tr("usage.budget_spin_tooltip"))
 
-        self.ov_activity_group.setTitle(tr("monitoring.overview_activity_title"))
-        self.ov_resource_group.setTitle(tr("monitoring.overview_resource_title"))
-        self.security_page.filter_edit.setPlaceholderText(tr("monitoring.filter_placeholder"))
-        self.action_page.filter_edit.setPlaceholderText(tr("monitoring.filter_placeholder"))
+        self.ov_activity_group.setTitle(tr("monitoring.overview_activity_title").upper())
+        self.ov_resource_group.setTitle(tr("monitoring.overview_resource_title").upper())
+        for page in (self.security_page, self.mcp_page, self.action_page):
+            page.filter_edit.setPlaceholderText(tr("monitoring.filter_placeholder"))
+            page.detail_panel.retranslate()
+            page.title_lbl.setText(tr(page.title_key))
+            page.title_refresh_btn.setText(tr("monitoring.refresh"))
+        # status_page has no search box and no detail panel (with_search=False,
+        # with_detail=False) — just the title + Làm mới header.
+        self.status_page.title_lbl.setText(tr(self.status_page.title_key))
+        self.status_page.title_refresh_btn.setText(tr("monitoring.refresh"))
         self.ov_cpu_lbl.setText(tr("monitoring.overview_res_cpu"))
         self.ov_mem_lbl.setText(tr("monitoring.overview_res_mem"))
+        self.ov_diskfree_lbl.setText(tr("monitoring.overview_disk_label"))
         self.ov_disk_lbl.setText(tr("monitoring.overview_res_disk"))
         self.ov_network_lbl.setText(tr("monitoring.overview_res_network"))
         # model pricing panel
-        self.ov_pricing_group.setTitle(tr("monitoring.pricing_title"))
+        self.ov_pricing_group.setTitle(tr("monitoring.pricing_title").upper())
         self.ov_pricing_ccy_lbl.setText(tr("monitoring.pricing_currency"))
         self.ov_price_import_btn.setText(tr("monitoring.pricing_import"))
         self.ov_price_export_btn.setText(tr("monitoring.pricing_export"))
@@ -658,7 +1260,9 @@ class MonitoringTab(QWidget):
             tr("monitoring.pricing_col_maxout"), tr("monitoring.pricing_col_input"),
             tr("monitoring.pricing_col_output")])
 
-        self.ov_sandbox_details_group.setTitle(tr("monitoring.overview_sandbox_details_title"))
+        self.ov_sandbox_details_group.setTitle(
+            # "&" is a mnemonic marker in a group-box title — double it.
+            tr("monitoring.overview_sandbox_details_title").upper().replace("&", "&&"))
         self.ov_sbx_id_lbl.setText(tr("monitoring.overview_sandbox_id"))
         self.ov_sbx_status_lbl.setText(tr("monitoring.overview_status"))
         self.ov_sbx_created_lbl.setText(tr("monitoring.overview_created"))
@@ -666,7 +1270,7 @@ class MonitoringTab(QWidget):
         self.ov_sbx_edit_btn.setText(tr("monitoring.overview_edit"))
         self.ov_sbx_net_lbl.setText(tr("monitoring.overview_network_label"))
 
-        self.ov_permissions_group.setTitle(tr("monitoring.overview_permissions_title"))
+        self.ov_permissions_group.setTitle(tr("monitoring.overview_permissions_title").upper())
         self.ov_perm_fs_lbl.setText(tr("monitoring.overview_perm_fs"))
         self.ov_perm_fs_val.setText(tr("monitoring.overview_perm_fs_value"))
         self.ov_perm_network_lbl.setText(tr("monitoring.overview_perm_network"))
@@ -676,13 +1280,17 @@ class MonitoringTab(QWidget):
         self.ov_perm_env_val.setText(tr("monitoring.overview_perm_env_value"))
         self.ov_perm_edit_btn.setText(tr("monitoring.overview_edit"))
 
-        self.ov_audit_group.setTitle(tr("monitoring.overview_audit_title"))
+        self.ov_audit_group.setTitle(tr("monitoring.overview_audit_title").upper())
         self.ov_view_all_btn.setText(tr("monitoring.overview_view_all"))
 
         self.refresh()
 
     # ---- refresh -----------------------------------------------------------
     def refresh(self) -> None:
+        """Full refresh — Overview cards plus every table. Wired to the
+        top-of-page and per-section "Làm mới" buttons, called once at
+        startup/language-change, but NOT to the auto-refresh timer (see
+        ``_auto_refresh``)."""
         self._refresh_resource_usage()
         events = self._load_events()
         self.security_table.set_events([e for e in events if e.get("kind") == "security_block"])
@@ -691,6 +1299,11 @@ class MonitoringTab(QWidget):
         self._refresh_agent_status()
         self._refresh_overview(events)
 
+    def _auto_refresh(self) -> None:
+        """3-second timer tick — Overview cards only (see ``refresh``)."""
+        self._refresh_resource_usage()
+        self._refresh_overview(self._load_events())
+
     def _load_events(self) -> List[dict]:
         shared_dir = self.ctx.config.shared_dir
         if shared_dir:
@@ -722,7 +1335,18 @@ class MonitoringTab(QWidget):
         except Exception:
             mem_pct = 0
         self.ov_mem_bar.setValue(min(mem_pct, 100))
-        self.ov_mem_val.setText(_fmt_bytes(own_mem))
+        try:
+            self.ov_mem_val.setText(f"{_fmt_bytes(own_mem)}/{_fmt_bytes(total_mem)}")
+        except Exception:                                    # noqa: BLE001
+            self.ov_mem_val.setText(_fmt_bytes(own_mem))
+        # Free disk on the workspace drive — a capacity fact, unlike the I/O
+        # rate that used to sit here, and the one the drawing shows.
+        try:
+            free = psutil.disk_usage(str(self.ctx.config.cowork_output_dir())).free
+            self.ov_diskfree_val.setText(
+                tr("monitoring.overview_disk_free", size=_fmt_bytes(free)))
+        except Exception:                                    # noqa: BLE001
+            self.ov_diskfree_val.setText(tr("monitoring.na"))
 
         now = time.monotonic()
         try:
@@ -781,12 +1405,22 @@ class MonitoringTab(QWidget):
         ]
         self.status_table.setRowCount(len(rows))
         for row, (role_key, count, source) in enumerate(rows):
-            self.status_table.setItem(row, 0, QTableWidgetItem(agent_roles.label_for(role_key)))
+            label = agent_roles.label_for(role_key)
+            name_item = QTableWidgetItem(label)
+            name_item.setIcon(_agent_avatar_icon(label))
+            self.status_table.setItem(row, 0, name_item)
+
             if role_key == agent_roles.SECURITY:
-                active_text = tr("monitoring.on") if sec_on else tr("monitoring.off")
+                running = sec_on
+                status_text = tr("monitoring.on") if sec_on else tr("monitoring.off")
+            elif count is not None:
+                running = count > 0
+                status_text = tr("monitoring.active_n", n=count) if running else tr("monitoring.idle")
             else:
-                active_text = tr("monitoring.active_n", n=count) if count is not None else "—"
-            self.status_table.setItem(row, 1, QTableWidgetItem(active_text))
+                running = False
+                status_text = "—"
+            badge_tone = "badgeSuccess" if running else "badgeNeutral"
+            self.status_table.setCellWidget(row, 1, badge_pill_widget(status_text, badge_tone))
             self.status_table.setItem(row, 2, QTableWidgetItem(source))
 
     def _activity_line(self, event: dict) -> str:
@@ -801,7 +1435,8 @@ class MonitoringTab(QWidget):
             mark = f"<span style='color:{DOT_RED};'>✗</span>"
         name = event.get("name", "") or event.get("kind", "")
         rel = _relative_time(event.get("ts", ""))
-        suffix = f" <span style='color:#8b8d98;'>— {rel}</span>" if rel else ""
+        muted = current_palette().text_muted
+        suffix = f" <span style='color:{muted};'>— {rel}</span>" if rel else ""
         return f"{mark} {name}{suffix}"
 
     def _refresh_usage_cards(self) -> None:
@@ -811,18 +1446,26 @@ class MonitoringTab(QWidget):
         events = ut.load_events()
         s = ut.summarize(events)
         costs = ut.cost_usd_events(events, pricing)
-        self.ov_usage_total.set(tr("dashboard.card_total"), fmt_tokens(s["total"]),
-                                tr("dashboard.card_turns", n=s["turns"]))
+        self.ov_usage_total.set(tr("dashboard.card_total"), fmt_tokens(s["total"]))
+        self.ov_usage_calls.set(tr("monitoring.overview_calls"), str(s["turns"]), "")
         self.ov_usage_in.set(tr("dashboard.card_in"), fmt_tokens(s["in"]),
                              ut.format_cost(costs["in"], pricing))
         self.ov_usage_out.set(tr("dashboard.card_out"), fmt_tokens(s["out"]),
                               ut.format_cost(costs["out"], pricing))
         self.ov_usage_cache.set(tr("dashboard.card_cache"), fmt_tokens(s["cache"]),
                                 ut.format_cost(costs["cache"], pricing))
-        self.ov_usage_cost.set(tr("dashboard.card_cost"),
-                               ut.format_cost(sum(costs.values()), pricing, digits=2))
+        # "Tổng chi phí · 57 lượt", exactly as the wireframe labels it.
+        self.ov_usage_cost.set(
+            f'{tr("dashboard.card_cost")} · {s["turns"]} {tr("monitoring.overview_calls")}',
+            ut.format_cost(sum(costs.values()), pricing, digits=2))
         self._refresh_budget()
 
+    def _sync_sbx_more_label(self, *_a) -> None:
+        """Label the fold with what it will do next."""
+        open_ = self.ov_sbx_more_btn.isChecked()
+        self.ov_sbx_more_btn.setText(
+            ("▾ " if open_ else "▸ ") + tr("monitoring.overview_sbx_detail"))
+
     def _apply_budget(self) -> None:
         """Persist the spin box's value as the new budget — starts a fresh
         remaining-balance window (spend before now is no longer counted)."""
@@ -884,6 +1527,18 @@ class MonitoringTab(QWidget):
             tr("monitoring.overview_network_disabled") if net_blocked
             else tr("monitoring.overview_network_enabled"))
         self._set_badge(self.ov_sbx_net_val, "badgeWarn" if net_blocked else "badgeSuccess")
+        # The one line the wireframe shows; the detail above stays a fold away.
+        self.ov_sbx_summary.setText(" · ".join([
+            f'{tr("monitoring.overview_perm_fs")}: '
+            f'{tr("monitoring.overview_perm_fs_value")}',
+            f'{tr("monitoring.overview_perm_network")}: '
+            f'{tr("monitoring.overview_network_disabled") if net_blocked else tr("monitoring.overview_network_enabled")}',
+            f'{tr("monitoring.overview_perm_process")}: '
+            f'{tr("monitoring.overview_perm_process_value")}',
+            f'{tr("monitoring.overview_resource_limits")}: '
+            f'{", ".join(limit_parts) if limit_parts else tr("monitoring.na")}',
+        ]))
+        self._sync_sbx_more_label()
 
         self.ov_perm_network_val.setText(
             tr("monitoring.overview_perm_network_blocked") if net_blocked
diff --git a/ui/schedule_task_tab.py b/ui/schedule_task_tab.py
index 7849ad7..bcc2a58 100644
--- a/ui/schedule_task_tab.py
+++ b/ui/schedule_task_tab.py
@@ -1,716 +1,794 @@
-"""Schedule Task tab — Kanban board for scheduled/automated tasks.
-
-Columns: Backlog / Scheduled / Running / Waiting Input / Done / Failed /
-Paused. Cards drag between columns (dropping = changing status), double-click
-edits, right-click offers Run now / Edit / Duplicate / Pause / Delete / View
-logs / Create-next-from-output. Header has search, a type filter, Add Task
-and AI Create Task (preview first — nothing is created until confirmed).
-"""
-from __future__ import annotations
-
-import copy
-from pathlib import Path
-from typing import Dict, List, Optional
-
-from PySide6.QtCore import Qt, Signal
-from PySide6.QtWidgets import (
-    QAbstractItemView, QComboBox, QDialog, QDialogButtonBox, QHBoxLayout,
-    QLabel, QLineEdit, QListWidget, QListWidgetItem, QMenu, QMessageBox,
-    QPlainTextEdit, QPushButton, QScrollArea, QStackedWidget, QTableWidget,
-    QTableWidgetItem, QVBoxLayout, QWidget,
-)
-
-from ..core import tasks as taskrepo
-from ..core.projects import list_projects
-from ..core.tasks import STATUSES, chain_error, duplicate_task, new_task
-from ..core.worker import AgentWorker
-from ..i18n import on_language_changed, tr
-from ..state import AppContext
-from .calendar_view import CalendarView
-from .icons import icon
-from .osutil import open_path
-
-_VIEWS = ("kanban", "calendar")
-
-# Priority shown as a plain text tag (no colored-emoji squares). Only the
-# elevated priorities get a visible marker; low/medium stay unmarked as before.
-_PRIORITY_ICONS = {"low": "", "medium": "", "high": "· high", "critical": "· critical"}
-
-
-class _KanbanColumn(QListWidget):
-    """One status lane. Accepts drops from sibling columns; a drop means
-    'move this task to my status'."""
-
-    task_dropped = Signal(str, str)   # task_id, new_status
-
-    def __init__(self, status: str):
-        super().__init__()
-        self.status = status
-        self.setDragDropMode(QAbstractItemView.DragDrop)
-        self.setDefaultDropAction(Qt.MoveAction)
-        # Shift/Ctrl-click several cards in the SAME column, then right-click
-        # → "Delete N selected" to bulk-remove tasks instead of one at a time.
-        self.setSelectionMode(QAbstractItemView.ExtendedSelection)
-        self.setWordWrap(True)
-        self.setMinimumWidth(190)
-
-    def dropEvent(self, event):  # noqa: N802
-        source = event.source()
-        if isinstance(source, _KanbanColumn) and source is not self:
-            item = source.currentItem()
-            tid = item.data(Qt.UserRole) if item else None
-            if tid:
-                event.acceptProposedAction()
-                self.task_dropped.emit(tid, self.status)
-                return
-        event.ignore()
-
-
-class ScheduleTaskTab(QWidget):
-    status_message = Signal(str)
-
-    def __init__(self, ctx: AppContext, scheduler=None):
-        super().__init__()
-        self.ctx = ctx
-        self.scheduler = scheduler          # TaskScheduler (may be None in tests)
-        self._ai_worker: Optional[AgentWorker] = None
-        self._tasks_dir: Optional[Path] = None   # None → default repo dir
-
-        root = QVBoxLayout(self)
-
-        # ---- header ----------------------------------------------------
-        header = QHBoxLayout()
-        self._title = QLabel()
-        self._title.setStyleSheet("font-weight:700; font-size:15px;")
-        self.counts_lbl = QLabel("")
-        self.counts_lbl.setObjectName("hint")
-        self.add_btn = QPushButton()
-        self.add_btn.setIcon(icon("plus"))
-        self.add_btn.setObjectName("primary")
-        self.add_btn.clicked.connect(self._add_task)
-        self.ai_btn = QPushButton()
-        self.ai_btn.setIcon(icon("sparkle"))
-        self.ai_btn.clicked.connect(self._ai_create)
-        self.view_combo = QComboBox()
-        for v in _VIEWS:
-            self.view_combo.addItem("", v)
-        self.view_combo.currentIndexChanged.connect(self._on_view_changed)
-        header.addWidget(self._title)
-        header.addWidget(self.counts_lbl, 1)
-        header.addWidget(self.view_combo)
-        header.addWidget(self.add_btn)
-        header.addWidget(self.ai_btn)
-        root.addLayout(header)
-
-        # ---- board / calendar (two views of the SAME tasks) -----------------
-        self._view_stack = QStackedWidget()
-        scroll = QScrollArea()
-        scroll.setWidgetResizable(True)
-        board = QWidget()
-        scroll.setWidget(board)
-        cols = QHBoxLayout(board)
-        cols.setSpacing(8)
-        self.columns: Dict[str, _KanbanColumn] = {}
-        self.column_headers: Dict[str, QLabel] = {}
-        for status in STATUSES:
-            box = QVBoxLayout()
-            head = QLabel()
-            head.setStyleSheet("font-weight:600;")
-            col = _KanbanColumn(status)
-            col.task_dropped.connect(self._on_task_dropped)
-            col.itemDoubleClicked.connect(self._on_double_click)
-            col.setContextMenuPolicy(Qt.CustomContextMenu)
-            col.customContextMenuRequested.connect(
-                lambda pos, c=col: self._context_menu(c, pos))
-            box.addWidget(head)
-            box.addWidget(col, 1)
-            holder = QWidget()
-            holder.setLayout(box)
-            cols.addWidget(holder)
-            self.columns[status] = col
-            self.column_headers[status] = head
-        self._view_stack.addWidget(scroll)
-        self.calendar = CalendarView()
-        self.calendar.edit_task.connect(self._edit_task)
-        self.calendar.add_task_on_date.connect(self._add_task_on_date)
-        self._view_stack.addWidget(self.calendar)
-        root.addWidget(self._view_stack, 1)
-
-        if self.scheduler is not None:
-            self.scheduler.tasks_changed.connect(self.refresh)
-            self.scheduler.task_started.connect(lambda _tid: self.refresh())
-            self.scheduler.task_finished.connect(lambda _tid, _ok: self.refresh())
-
-        # Belt-and-braces: also re-read the board every 10s so a card's lane
-        # ALWAYS reflects reality (Scheduled → Running → Done) even if some
-        # change slipped past the signals (e.g. task files edited externally).
-        from PySide6.QtCore import QTimer
-        self._refresh_timer = QTimer(self)
-        self._refresh_timer.setInterval(10_000)
-        self._refresh_timer.timeout.connect(self.refresh)
-        self._refresh_timer.start()
-
-        self.refresh()
-        on_language_changed(self._retranslate)
-
-    # ---- i18n ------------------------------------------------------------
-    def _retranslate(self) -> None:
-        self._title.setText(tr("schedtask.title"))
-        self.add_btn.setText(tr("schedtask.add_btn"))
-        self.add_btn.setToolTip(tr("schedtask.add_tooltip"))
-        self.ai_btn.setText(tr("schedtask.ai_btn"))
-        self.ai_btn.setToolTip(tr("schedtask.ai_tooltip"))
-        for i, v in enumerate(_VIEWS):
-            self.view_combo.setItemText(i, tr(f"schedtask.view.{v}"))
-        for status, col in self.columns.items():
-            col.setToolTip(tr(f"schedtask.col_tip.{status}"))
-        self.refresh()
-
-    # ---- Kanban / Calendar view switch --------------------------------
-    def _on_view_changed(self) -> None:
-        self._view_stack.setCurrentIndex(self.view_combo.currentIndex())
-
-    def _add_task_on_date(self, date_str: str) -> None:
-        """Create a task pre-filled with the clicked calendar date (default
-        09:00) — same editor Add Task opens, nothing is saved until confirmed."""
-        from .task_editor_dialog import TaskEditorDialog
-
-        t = new_task("", schedule={"enabled": True, "run_at": f"{date_str} 09:00"})
-        dlg = TaskEditorDialog(t, taskrepo.list_tasks(self._tasks_dir), self, ctx=self.ctx)
-        if dlg.exec() and dlg.edited_task:
-            self._save_and_refresh(dlg.edited_task)
-            self.status_message.emit(tr("schedtask.msg_created"))
-
-    # ---- board rendering ---------------------------------------------------
-    def _card_text(self, t: dict) -> str:
-        prio = _PRIORITY_ICONS.get(t.get("priority", "medium"), "")
-        ai = "[AI] " if t.get("is_ai_generated") else ""
-        sched = t.get("schedule", {})
-        when = sched.get("run_at") if sched.get("enabled") else None
-        when_line = when or tr("schedtask.no_schedule")
-        chain = ""
-        if t.get("dependency", {}).get("next_task_id") or t.get("dependency", {}).get("previous_task_id"):
-            chain = " (linked)"
-        last = t.get("logs", {}).get("last_status")
-        last_line = {"success": tr("schedtask.last_success"),
-                     "failed": tr("schedtask.last_failed")}.get(last, tr("schedtask.last_never"))
-        # Card shows ONLY the task's own title (plus the [AI] marker and chain
-        # note) — no "[Cowork]"/"[Code]" task-type tag cluttering it.
-        return (f"{ai}{t.get('title', '')}{chain}\n"
-                f"{when_line}   {prio}\n{last_line}")
-
-    def refresh(self) -> None:
-        all_tasks = taskrepo.list_tasks(self._tasks_dir)
-        counts = {s: 0 for s in STATUSES}
-        for col in self.columns.values():
-            col.clear()
-        for t in all_tasks:
-            status = t.get("status", "backlog")
-            if status not in self.columns:
-                continue
-            counts[status] += 1
-            item = QListWidgetItem(self._card_text(t))
-            item.setData(Qt.UserRole, t["task_id"])
-            self.columns[status].addItem(item)
-        for status, col in self.columns.items():
-            self.column_headers[status].setText(
-                f"{tr(f'schedtask.status.{status}')} ({counts[status]})")
-            if col.count() == 0:
-                empty = QListWidgetItem(tr("schedtask.no_tasks"))
-                empty.setFlags(Qt.NoItemFlags)
-                col.addItem(empty)
-        self.counts_lbl.setText("   ".join(
-            f"{tr(f'schedtask.status.{s}')}: {counts[s]}" for s in STATUSES if counts[s]))
-        self.calendar.set_tasks(all_tasks)
-
-    # ---- actions --------------------------------------------------------
-    def _save_and_refresh(self, task: dict) -> None:
-        taskrepo.save_task(task, self._tasks_dir)
-        self.refresh()
-
-    def _add_task(self) -> None:
-        from .task_editor_dialog import TaskEditorDialog
-
-        dlg = TaskEditorDialog(None, taskrepo.list_tasks(self._tasks_dir), self, ctx=self.ctx)
-        if dlg.exec() and dlg.edited_task:
-            self._save_and_refresh(dlg.edited_task)
-            self.status_message.emit(tr("schedtask.msg_created"))
-
-    def _edit_task(self, task_id: str) -> None:
-        from .task_editor_dialog import TaskEditorDialog
-
-        task = taskrepo.load_task(task_id, self._tasks_dir)
-        if not task:
-            return
-        dlg = TaskEditorDialog(task, taskrepo.list_tasks(self._tasks_dir), self, ctx=self.ctx)
-        if dlg.exec() and dlg.edited_task:
-            self._save_and_refresh(dlg.edited_task)
-
-    def _on_double_click(self, item: QListWidgetItem) -> None:
-        tid = item.data(Qt.UserRole)
-        if tid:
-            self._edit_task(tid)
-
-    def _on_task_dropped(self, task_id: str, new_status: str) -> None:
-        """Dropping a card into a lane ACTS on the task, not just relabels it:
-        → Running actually runs it now; → Done marks it completed; → Scheduled
-        puts it on the calendar (opening the editor if no time is set yet)."""
-        task = taskrepo.load_task(task_id, self._tasks_dir)
-        if not task:
-            return
-        if task.get("status") == "running":
-            self.refresh()   # can't drag a running task
-            return
-        if new_status == "running":
-            # Dropping into Running = "run it now" (counts as manual approval).
-            self.refresh()
-            self._run_now(task)
-            return
-        if new_status == "done":
-            task["status"] = "done"
-            task["schedule"]["enabled"] = False   # done by hand → don't re-fire
-            self._save_and_refresh(task)
-            return
-        task["status"] = new_status
-        if new_status == "scheduled" and not task["schedule"].get("enabled"):
-            if task["schedule"].get("run_at"):
-                task["schedule"]["enabled"] = True
-            else:
-                # No time set yet — a silently-disabled "Scheduled" card would
-                # never run and look broken. Open the editor so the user sets
-                # the schedule right away.
-                self._save_and_refresh(task)
-                self.status_message.emit(tr("schedtask.msg_set_schedule"))
-                self._edit_task(task_id)
-                return
-        self._save_and_refresh(task)
-
-    @staticmethod
-    def _is_multi_selection(item, selected) -> bool:
-        """True when the right-clicked card is part of an existing multi-item
-        selection — pure boolean, kept separate from _context_menu so it's
-        testable without ever invoking Qt's (modal, event-loop-blocking) menu."""
-        return len(selected) > 1 and item in selected
-
-    def _context_menu(self, col: _KanbanColumn, pos) -> None:
-        item = col.itemAt(pos)
-        if item is None or not item.data(Qt.UserRole):
-            return
-        selected = [it for it in col.selectedItems() if it.data(Qt.UserRole)]
-        if self._is_multi_selection(item, selected):
-            self._bulk_delete_menu(col, pos, selected)
-            return
-        tid = item.data(Qt.UserRole)
-        task = taskrepo.load_task(tid, self._tasks_dir)
-        if not task:
-            return
-        menu = QMenu(col)
-        run_act = menu.addAction(tr("schedtask.menu_run"))
-        edit_act = menu.addAction(tr("schedtask.menu_edit"))
-        dup_act = menu.addAction(tr("schedtask.menu_duplicate"))
-        paused = task.get("status") == "paused"
-        pause_act = menu.addAction(tr("schedtask.menu_resume" if paused else "schedtask.menu_pause"))
-        logs_act = menu.addAction(tr("schedtask.menu_logs"))
-        hist_act = menu.addAction(tr("schedtask.menu_history"))
-        next_act = menu.addAction(tr("schedtask.menu_create_next"))
-        menu.addSeparator()
-        del_act = menu.addAction(tr("schedtask.menu_delete"))
-        chosen = menu.exec(col.viewport().mapToGlobal(pos))
-        if chosen == run_act:
-            self._run_now(task)
-        elif chosen == edit_act:
-            self._edit_task(tid)
-        elif chosen == dup_act:
-            self._save_and_refresh(duplicate_task(task))
-        elif chosen == pause_act:
-            task["status"] = "backlog" if paused else "paused"
-            self._save_and_refresh(task)
-        elif chosen == logs_act:
-            self._view_logs(task)
-        elif chosen == hist_act:
-            _RunHistoryDialog(task, self).exec()
-        elif chosen == next_act:
-            self._create_next_from_output(task)
-        elif chosen == del_act:
-            if QMessageBox.question(self, tr("schedtask.menu_delete"),
-                                    tr("schedtask.delete_confirm", title=task.get("title", ""))
-                                    ) == QMessageBox.Yes:
-                taskrepo.delete_task(tid, self._tasks_dir)
-                self.refresh()
-
-    def _bulk_delete_menu(self, col: _KanbanColumn, pos, selected) -> None:
-        """Right-click on a multi-selection within one column (Shift/Ctrl-click
-        several cards first): one action deletes every selected task. The
-        popup itself is a thin wrapper — see _confirm_and_delete_selected for
-        the actual (independently testable) confirm+delete logic."""
-        menu = QMenu(col)
-        del_act = menu.addAction(tr("schedtask.menu_delete_selected", n=len(selected)))
-        chosen = menu.exec(col.viewport().mapToGlobal(pos))
-        if chosen == del_act:
-            self._confirm_and_delete_selected(selected)
-
-    def _confirm_and_delete_selected(self, selected) -> bool:
-        """Confirm, then delete every task in ``selected``. Split out of
-        _bulk_delete_menu so tests can drive it directly without having to
-        fake a real (modal, event-loop-blocking) QMenu popup."""
-        if QMessageBox.question(
-                self, tr("schedtask.menu_delete"),
-                tr("schedtask.delete_multi_confirm", n=len(selected))) != QMessageBox.Yes:
-            return False
-        for item in selected:
-            tid = item.data(Qt.UserRole)
-            if tid:
-                taskrepo.delete_task(tid, self._tasks_dir)
-        self.refresh()
-        return True
-
-    def _run_now(self, task: dict) -> None:
-        if task.get("task_type") == "manual":
-            self.status_message.emit(tr("schedtask.msg_manual_norun"))
-            return
-        if self.scheduler is None:
-            self.status_message.emit(tr("schedtask.msg_no_scheduler"))
-            return
-        if self.scheduler.run_now(task["task_id"]):
-            self.status_message.emit(tr("schedtask.msg_running", title=task.get("title", "")))
-        self.refresh()
-
-    def _view_logs(self, task: dict) -> None:
-        run_id = task.get("logs", {}).get("last_run_id")
-        if not run_id:
-            QMessageBox.information(self, tr("schedtask.menu_logs"), tr("schedtask.no_runs_yet"))
-            return
-        folder = taskrepo.ARTIFACTS_DIR / task["task_id"] / run_id
-        if folder.exists():
-            open_path(str(folder))
-        else:
-            QMessageBox.information(self, tr("schedtask.menu_logs"), tr("schedtask.no_runs_yet"))
-
-    def _create_next_from_output(self, task: dict) -> None:
-        """Scaffold a follow-up task pre-wired to consume this task's output."""
-        nxt = new_task(tr("schedtask.next_of", title=task.get("title", "")))
-        nxt["task_type"] = "cowork"
-        nxt["input"]["mode"] = "previous_task_output"
-        nxt["input"]["previous_task_id"] = task["task_id"]
-        nxt["dependency"]["previous_task_id"] = task["task_id"]
-        err = chain_error(taskrepo.list_tasks(self._tasks_dir) + [nxt],
-                          task["task_id"], nxt["task_id"])
-        if err:
-            QMessageBox.warning(self, tr("schedtask.g_dependency"), err)
-            return
-        taskrepo.save_task(nxt, self._tasks_dir)
-        task["dependency"]["next_task_id"] = nxt["task_id"]
-        task["dependency"]["pass_output_to_next"] = True
-        if task["dependency"].get("run_next_mode", "none") == "none":
-            task["dependency"]["run_next_mode"] = "run_after_success"
-        taskrepo.save_task(task, self._tasks_dir)
-        self.refresh()
-        self._edit_task(nxt["task_id"])
-
-    # ---- AI create ----------------------------------------------------------
-    def _ai_create(self) -> None:
-        dlg = _AiCreateDialog(self.ctx, self)
-        if dlg.exec() and dlg.created_tasks:
-            for t in dlg.created_tasks:
-                taskrepo.save_task(t, self._tasks_dir)
-            self.refresh()
-            self.status_message.emit(tr("schedtask.msg_ai_created", n=len(dlg.created_tasks)))
-
-
-class _RunHistoryDialog(QDialog):
-    """Run history of one task as a table (newest first): time, status, error;
-    double-click a row to open that run's artifact folder."""
-
-    def __init__(self, task: dict, parent=None):
-        super().__init__(parent)
-        self._task = task
-        self.setWindowTitle(f"{tr('schedtask.menu_history')} — {task.get('title', '')}")
-        self.resize(620, 380)
-        root = QVBoxLayout(self)
-        hint = QLabel(tr("schedtask.hist_hint"))
-        hint.setObjectName("hint")
-        root.addWidget(hint)
-
-        runs = list(reversed(task.get("runs", []) or []))
-        self.table = QTableWidget(len(runs), 4)
-        self.table.setHorizontalHeaderLabels([
-            tr("schedtask.hist_col_time"), tr("schedtask.hist_col_status"),
-            tr("schedtask.hist_col_run"), tr("schedtask.hist_col_error"),
-        ])
-        self.table.setEditTriggers(QAbstractItemView.NoEditTriggers)
-        self.table.setSelectionBehavior(QAbstractItemView.SelectRows)
-        for row, run in enumerate(runs):
-            ok = run.get("status") == "success"
-            cells = (
-                run.get("finished_at", ""),
-                str(run.get("status", "")),
-                run.get("run_id", ""),
-                (run.get("error") or "")[:200],
-            )
-            for col, text in enumerate(cells):
-                item = QTableWidgetItem(str(text))
-                if col == 0:
-                    item.setData(Qt.UserRole, run.get("run_id", ""))
-                self.table.setItem(row, col, item)
-        self.table.resizeColumnsToContents()
-        self.table.horizontalHeader().setStretchLastSection(True)
-        self.table.itemDoubleClicked.connect(self._open_artifact)
-        root.addWidget(self.table, 1)
-
-        buttons = QDialogButtonBox(QDialogButtonBox.Close)
-        buttons.rejected.connect(self.reject)
-        buttons.accepted.connect(self.accept)
-        root.addWidget(buttons)
-
-    def _open_artifact(self, item: QTableWidgetItem) -> None:
-        first = self.table.item(item.row(), 0)
-        run_id = first.data(Qt.UserRole) if first else ""
-        if not run_id:
-            return
-        folder = taskrepo.ARTIFACTS_DIR / self._task["task_id"] / run_id
-        if folder.exists():
-            open_path(str(folder))
-
-
-class _DropZone(QLabel):
-    """Drag-an-.xlsx-here area for the Import tab."""
-
-    file_dropped = Signal(str)
-
-    def __init__(self):
-        super().__init__()
-        self.setAlignment(Qt.AlignCenter)
-        self.setMinimumHeight(70)
-        self.setStyleSheet(
-            "QLabel { border: 2px dashed rgba(140,146,152,0.6); border-radius: 10px;"
-            " color: #8c9298; padding: 10px; }")
-        self.setAcceptDrops(True)
-
-    def dragEnterEvent(self, event):  # noqa: N802
-        urls = event.mimeData().urls()
-        if urls and urls[0].toLocalFile().lower().endswith(
-                (".xlsx", ".xlsm", ".xls", ".csv", ".json")):
-            event.acceptProposedAction()
-
-    def dropEvent(self, event):  # noqa: N802
-        urls = event.mimeData().urls()
-        if urls:
-            self.file_dropped.emit(urls[0].toLocalFile())
-
-
-class _AiCreateDialog(QDialog):
-    """Create tasks two ways, one tab each (both preview first — nothing is
-    saved until the user confirms): ✨ AI gen from a natural-language
-    description, or 📥 Import from a filled Excel template (pick or drag)."""
-
-    def __init__(self, ctx: AppContext, parent=None):
-        super().__init__(parent)
-        from PySide6.QtWidgets import QTabWidget
-
-        self.ctx = ctx
-        self.created_tasks: List[dict] = []
-        self._planned: List[dict] = []
-        self._worker: Optional[AgentWorker] = None
-        self.setWindowTitle(tr("schedtask.ai_btn"))
-        self.resize(600, 520)
-
-        root = QVBoxLayout(self)
-        ws_row = QHBoxLayout()
-        ws_row.addWidget(QLabel(tr("schedtask.f_workspace")))
-        self.workspace_combo = QComboBox()
-        self.workspace_combo.addItem(tr("schedtask.no_workspace"), "")
-        for p in list_projects():
-            self.workspace_combo.addItem(p.name, p.project_id)
-        self.workspace_combo.setToolTip(tr("schedtask.hint_workspace"))
-        ws_row.addWidget(self.workspace_combo, 1)
-        root.addLayout(ws_row)
-        self.tabs = QTabWidget()
-        root.addWidget(self.tabs, 1)
-
-        # ---- tab 1: AI gen ------------------------------------------------
-        ai_page = QWidget()
-        al = QVBoxLayout(ai_page)
-        al.addWidget(QLabel(tr("schedtask.ai_desc_label")))
-        self.desc_edit = QPlainTextEdit()
-        self.desc_edit.setPlaceholderText(tr("schedtask.ai_desc_ph"))
-        self.desc_edit.setMaximumHeight(110)
-        al.addWidget(self.desc_edit)
-        # Attachments (files + links) — merged into every task this generates,
-        # AND into the planning prompt so the AI knows they exist.
-        attach_row = QHBoxLayout()
-        self.ai_files_edit = QLineEdit()
-        self.ai_files_edit.setPlaceholderText(tr("schedtask.files_placeholder"))
-        ai_pick_btn = QPushButton(tr("schedtask.pick_files"))
-        ai_pick_btn.setIcon(icon("folder"))
-        ai_pick_btn.clicked.connect(self._ai_pick_files)
-        attach_row.addWidget(self.ai_files_edit, 1)
-        attach_row.addWidget(ai_pick_btn)
-        al.addWidget(QLabel(tr("schedtask.f_files")))
-        al.addLayout(attach_row)
-        self.ai_links_edit = QLineEdit()
-        self.ai_links_edit.setPlaceholderText(tr("schedtask.links_placeholder"))
-        al.addWidget(QLabel(tr("schedtask.f_links")))
-        al.addWidget(self.ai_links_edit)
-        self.gen_btn = QPushButton(tr("schedtask.ai_generate"))
-        self.gen_btn.setIcon(icon("sparkle"))
-        self.gen_btn.setObjectName("primary")
-        self.gen_btn.clicked.connect(self._generate)
-        al.addWidget(self.gen_btn)
-        al.addWidget(QLabel(tr("schedtask.ai_preview_label")))
-        self.preview = QPlainTextEdit()
-        self.preview.setReadOnly(True)
-        al.addWidget(self.preview, 1)
-        self.tabs.addTab(ai_page, tr("schedtask.tab_ai"))
-
-        # ---- tab 2: Import from Excel --------------------------------------
-        imp_page = QWidget()
-        il = QVBoxLayout(imp_page)
-        tpl_btn = QPushButton(tr("schedtask.export_template_btn"))
-        tpl_btn.setIcon(icon("upload"))
-        tpl_btn.clicked.connect(self._export_template)
-        il.addWidget(tpl_btn)
-        pick_row = QHBoxLayout()
-        pick_btn = QPushButton(tr("schedtask.import_pick_btn"))
-        pick_btn.setIcon(icon("folder"))
-        pick_btn.clicked.connect(self._pick_import_file)
-        pick_row.addWidget(pick_btn)
-        pick_row.addStretch(1)
-        il.addLayout(pick_row)
-        self.drop_zone = _DropZone()
-        self.drop_zone.setText(tr("schedtask.drop_hint"))
-        self.drop_zone.file_dropped.connect(self._load_import_file)
-        il.addWidget(self.drop_zone)
-        il.addWidget(QLabel(tr("schedtask.ai_preview_label")))
-        self.import_preview = QPlainTextEdit()
-        self.import_preview.setReadOnly(True)
-        il.addWidget(self.import_preview, 1)
-        self.tabs.addTab(imp_page, tr("schedtask.tab_import"))
-
-        self.buttons = QDialogButtonBox(QDialogButtonBox.Ok | QDialogButtonBox.Cancel)
-        self.buttons.button(QDialogButtonBox.Ok).setText(tr("schedtask.ai_confirm"))
-        self.buttons.button(QDialogButtonBox.Ok).setEnabled(False)
-        self.buttons.accepted.connect(self._confirm)
-        self.buttons.rejected.connect(self.reject)
-        root.addWidget(self.buttons)
-
-    # ---- Import tab ------------------------------------------------------
-    def _export_template(self) -> None:
-        from PySide6.QtWidgets import QFileDialog
-
-        from ..core.task_excel import export_template
-
-        path, _ = QFileDialog.getSaveFileName(
-            self, tr("schedtask.export_template_btn"),
-            "cowork_tasks_template.xlsx", "Excel (*.xlsx)")
-        if not path:
-            return
-        try:
-            export_template(path)
-            open_path(str(Path(path).parent))
-        except Exception as exc:  # noqa: BLE001
-            QMessageBox.warning(self, tr("schedtask.tab_import"), str(exc))
-
-    def _pick_import_file(self) -> None:
-        from PySide6.QtWidgets import QFileDialog
-
-        from ..core.task_import import IMPORT_FILTER
-
-        path, _ = QFileDialog.getOpenFileName(
-            self, tr("schedtask.import_pick_btn"), "", IMPORT_FILTER)
-        if path:
-            self._load_import_file(path)
-
-    def _load_import_file(self, path: str) -> None:
-        from ..core.task_import import import_tasks
-
-        try:
-            self._planned = import_tasks(path)
-        except ValueError as exc:
-            self.import_preview.setPlainText(str(exc))
-            self.buttons.button(QDialogButtonBox.Ok).setEnabled(False)
-            return
-        by_id = {t["task_id"]: t["title"] for t in self._planned}
-        lines = []
-        for i, t in enumerate(self._planned, 1):
-            sched = t.get("schedule", {})
-            when = sched.get("run_at") if sched.get("enabled") else tr("schedtask.no_schedule")
-            deps = t.get("dependency", {}).get("depends_on") or []
-            dep_note = ("  ← depends: " + ", ".join(by_id.get(d, "?") for d in deps)) if deps else ""
-            lines.append(f"{i}. [{t.get('task_type')}] {t.get('title')}\n"
-                         f"    {when}   repeat={sched.get('repeat_type', 'none')}{dep_note}")
-        self.import_preview.setPlainText("\n\n".join(lines))
-        self.buttons.button(QDialogButtonBox.Ok).setEnabled(bool(self._planned))
-
-    def _ai_pick_files(self) -> None:
-        from PySide6.QtWidgets import QFileDialog
-
-        files, _ = QFileDialog.getOpenFileNames(self, tr("schedtask.pick_files"))
-        if files:
-            existing = [f for f in self.ai_files_edit.text().split(";") if f.strip()]
-            self.ai_files_edit.setText("; ".join(existing + files))
-
-    def _attached_files(self) -> List[str]:
-        return [p.strip() for p in self.ai_files_edit.text().split(";") if p.strip()]
-
-    def _attached_links(self) -> List[str]:
-        return [u.strip() for u in self.ai_links_edit.text().split(";") if u.strip()]
-
-    def _generate(self) -> None:
-        description = self.desc_edit.toPlainText().strip()
-        if not description or self._worker is not None:
-            return
-        files, links = self._attached_files(), self._attached_links()
-        self.gen_btn.setEnabled(False)
-        self.gen_btn.setText(tr("schedtask.ai_generating"))
-
-        def job(worker: AgentWorker):
-            from ..core.ai_task_planner import plan_tasks
-
-            provider = self.ctx.build_active_provider()
-            full_desc = description
-            if files or links:
-                attach_note = "; ".join(files + links)
-                full_desc += f"\n\n(Attached references available: {attach_note})"
-            planned = plan_tasks(provider, full_desc, cancel=worker.is_cancelled)
-            # Attachments apply to every generated task so they're available
-            # at RUN time too, not just visible to the planner.
-            for t in planned:
-                t["input"]["file_paths"] = list(files)
-                t["input"]["links"] = list(links)
-            return {"tasks": planned}
-
-        w = AgentWorker(job)
-        w.finished_ok.connect(self._on_planned)
-        w.failed.connect(self._on_failed)
-        self._worker = w
-        w.start()
-
-    def _on_planned(self, result: dict) -> None:
-        self._worker = None
-        self.gen_btn.setEnabled(True)
-        self.gen_btn.setText(tr("schedtask.ai_generate"))
-        self._planned = result.get("tasks") or []
-        lines = []
-        for i, t in enumerate(self._planned, 1):
-            sched = t.get("schedule", {})
-            when = sched.get("run_at") if sched.get("enabled") else tr("schedtask.no_schedule")
-            dep = t.get("dependency", {})
-            chain = f"  ← {dep.get('previous_task_id', '')[:8]}" if dep.get("previous_task_id") else ""
-            lines.append(f"{i}. [{t.get('task_type')}] {t.get('title')}\n"
-                         f"    {when}   repeat={sched.get('repeat_type', 'none')}{chain}\n"
-                         f"    {t.get('description', '')[:150]}")
-        self.preview.setPlainText("\n\n".join(lines))
-        self.buttons.button(QDialogButtonBox.Ok).setEnabled(bool(self._planned))
-
-    def _on_failed(self, err: str) -> None:
-        self._worker = None
-        self.gen_btn.setEnabled(True)
-        self.gen_btn.setText(tr("schedtask.ai_generate"))
-        self.preview.setPlainText(str(err))
-
-    def _confirm(self) -> None:
-        project_id = self.workspace_combo.currentData() or ""
-        for t in self._planned:
-            t["project_id"] = project_id
-        self.created_tasks = self._planned
-        self.accept()
+"""Schedule Task tab — Kanban board for scheduled/automated tasks.
+
+Columns: Backlog / Scheduled / Running / Waiting Input / Done / Failed /
+Paused. Cards drag between columns (dropping = changing status), double-click
+edits, right-click offers Run now / Edit / Duplicate / Pause / Delete / View
+logs / Create-next-from-output. Header has search, a type filter, Add Task
+and AI Create Task (preview first — nothing is created until confirmed).
+"""
+from __future__ import annotations
+
+import copy
+from pathlib import Path
+from typing import Dict, List, Optional
+
+from PySide6.QtCore import Qt, Signal
+from PySide6.QtWidgets import (
+    QAbstractItemView, QComboBox, QDialog, QDialogButtonBox, QHBoxLayout,
+    QLabel, QLineEdit, QListWidget, QListWidgetItem, QMenu, QMessageBox,
+    QPlainTextEdit, QPushButton, QScrollArea, QSizePolicy, QStackedWidget,
+    QTabBar, QTableWidget, QTableWidgetItem, QVBoxLayout, QWidget,
+)
+
+from ..core import tasks as taskrepo
+from ..core.projects import list_projects
+from ..core.tasks import STATUSES, chain_error, duplicate_task, new_task
+from ..core.worker import AgentWorker
+from ..i18n import on_language_changed, tr
+from ..state import AppContext
+from ..theme import current_palette
+from .calendar_view import CalendarView
+from .icons import icon
+from .osutil import open_path
+
+_VIEWS = ("kanban", "calendar")
+
+# Priority shown as a plain text tag (no colored-emoji squares). Only the
+# elevated priorities get a visible marker; low/medium stay unmarked as before.
+_PRIORITY_ICONS = {"low": "", "medium": "", "high": "· high", "critical": "· critical"}
+
+
+class _KanbanColumn(QListWidget):
+    """One status lane. Accepts drops from sibling columns; a drop means
+    'move this task to my status'."""
+
+    task_dropped = Signal(str, str)   # task_id, new_status
+
+    def __init__(self, status: str):
+        super().__init__()
+        self.status = status
+        self.setDragDropMode(QAbstractItemView.DragDrop)
+        self.setDefaultDropAction(Qt.MoveAction)
+        # Shift/Ctrl-click several cards in the SAME column, then right-click
+        # → "Delete N selected" to bulk-remove tasks instead of one at a time.
+        self.setSelectionMode(QAbstractItemView.ExtendedSelection)
+        self.setWordWrap(True)
+        # Cards wrap, so there is never anything to reach by scrolling sideways
+        # — but QListWidget's own column hint runs 1-6px past the viewport, and
+        # a lane sprouted a horizontal scrollbar at 36 of 38 window widths I
+        # measured. Which lanes grew one changed with the width, which is why it
+        # looked like it depended on the screen.
+        self.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
+        self.setResizeMode(QListWidget.Adjust)   # re-wrap on every resize
+        # No pixel floor here. A fixed one is always wrong on some screen:
+        # 190 lost the seventh lane, 150 still wanted 1242px where a 1280
+        # window leaves 1091 — so the 1280 monitor scrolled sideways and the
+        # 1920 one did not, same app, same build. The board divides whatever
+        # width it has by seven instead; see _fit_lanes().
+
+    def dropEvent(self, event):  # noqa: N802
+        source = event.source()
+        if isinstance(source, _KanbanColumn) and source is not self:
+            item = source.currentItem()
+            tid = item.data(Qt.UserRole) if item else None
+            if tid:
+                event.acceptProposedAction()
+                self.task_dropped.emit(tid, self.status)
+                return
+        event.ignore()
+
+
+class ScheduleTaskTab(QWidget):
+    status_message = Signal(str)
+
+    def __init__(self, ctx: AppContext, scheduler=None):
+        super().__init__()
+        self.ctx = ctx
+        self.scheduler = scheduler          # TaskScheduler (may be None in tests)
+        self._ai_worker: Optional[AgentWorker] = None
+        self._tasks_dir: Optional[Path] = None   # None → default repo dir
+
+        root = QVBoxLayout(self)
+
+        # ---- header ----------------------------------------------------
+        header = QHBoxLayout()
+        self._title = QLabel()
+        self._title.setStyleSheet("font-weight:700; font-size:15px;")
+        self.counts_lbl = QLabel("")
+        self.counts_lbl.setObjectName("hint")
+        # A one-line summary of every lane's count. Left to size itself it
+        # reported a sizeHint wide enough to set the MINIMUM width of the whole
+        # screen — 1285px at 150% scaling, which then became the window's
+        # minimum and stopped the app fitting a 1280px laptop. It is a summary,
+        # and the same numbers are on each lane header, so it gives way first.
+        self.counts_lbl.setSizePolicy(QSizePolicy.Ignored, QSizePolicy.Preferred)
+        self.counts_lbl.setMinimumWidth(0)
+        self.add_btn = QPushButton()
+        self.add_btn.setIcon(icon("plus"))
+        self.add_btn.setObjectName("primary")
+        self.add_btn.clicked.connect(self._add_task)
+        self.ai_btn = QPushButton()
+        self.ai_btn.setIcon(icon("sparkle"))
+        self.ai_btn.clicked.connect(self._ai_create)
+        # Two views of the same tasks, so they read as a pair of tabs rather
+        # than a drop-list you have to open to discover the Calendar exists.
+        self.view_tabs = QTabBar()
+        self.view_tabs.setObjectName("viewTabs")
+        self.view_tabs.setDrawBase(False)
+        self.view_tabs.setExpanding(False)
+        for _v in _VIEWS:
+            self.view_tabs.addTab("")
+        self.view_tabs.currentChanged.connect(self._on_view_changed)
+        header.addWidget(self._title)
+        header.addWidget(self.counts_lbl, 1)
+        header.addWidget(self.view_tabs)
+        header.addWidget(self.add_btn)
+        header.addWidget(self.ai_btn)
+        root.addLayout(header)
+
+        # ---- board / calendar (two views of the SAME tasks) -----------------
+        self._view_stack = QStackedWidget()
+        scroll = QScrollArea()
+        scroll.setWidgetResizable(True)
+        board = QWidget()
+        scroll.setWidget(board)
+        cols = QHBoxLayout(board)
+        # Gutters wide enough to read as a break between lanes without eating
+        # too much of the seven-way split — they still share the board equally
+        # (see _fit_lanes below), so a wider gutter narrows every lane by the
+        # same share automatically; nothing else to compute here.
+        cols.setSpacing(2)
+        self.columns: Dict[str, _KanbanColumn] = {}
+        self.column_headers: Dict[str, QLabel] = {}
+        for status in STATUSES:
+            box = QVBoxLayout()
+            # The per-lane holder's own margins were the style's default
+            # (~9px a side) on top of the inter-column gap — with seven lanes
+            # that outweighs the gap itself. Zero it out and let the lane's
+            # header/list fill the width _fit_lanes() hands them.
+            box.setContentsMargins(0, 0, 0, 0)
+            box.setSpacing(2)
+            head = QLabel()
+            head.setStyleSheet("font-weight:600;")
+            col = _KanbanColumn(status)
+            col.setObjectName("kanbanLane")
+            col.task_dropped.connect(self._on_task_dropped)
+            col.itemDoubleClicked.connect(self._on_double_click)
+            col.setContextMenuPolicy(Qt.CustomContextMenu)
+            col.customContextMenuRequested.connect(
+                lambda pos, c=col: self._context_menu(c, pos))
+            box.addWidget(head)
+            box.addWidget(col, 1)
+            holder = QWidget()
+            holder.setLayout(box)
+            cols.addWidget(holder)
+            self.columns[status] = col
+            self.column_headers[status] = head
+        self._board_scroll = scroll
+        self._board_gap = cols.spacing()
+        scroll.viewport().installEventFilter(self)
+        self._view_stack.addWidget(scroll)
+        self.calendar = CalendarView()
+        self.calendar.edit_task.connect(self._edit_task)
+        self.calendar.add_task_on_date.connect(self._add_task_on_date)
+        self._view_stack.addWidget(self.calendar)
+        root.addWidget(self._view_stack, 1)
+
+        if self.scheduler is not None:
+            self.scheduler.tasks_changed.connect(self.refresh)
+            self.scheduler.task_started.connect(lambda _tid: self.refresh())
+            self.scheduler.task_finished.connect(lambda _tid, _ok: self.refresh())
+
+        # Belt-and-braces: also re-read the board every 10s so a card's lane
+        # ALWAYS reflects reality (Scheduled → Running → Done) even if some
+        # change slipped past the signals (e.g. task files edited externally).
+        from PySide6.QtCore import QTimer
+        self._refresh_timer = QTimer(self)
+        self._refresh_timer.setInterval(10_000)
+        self._refresh_timer.timeout.connect(self.refresh)
+        self._refresh_timer.start()
+
+        self.refresh()
+        on_language_changed(self._retranslate)
+
+    # ---- i18n ------------------------------------------------------------
+    def _retranslate(self) -> None:
+        self._title.setText(tr("schedtask.title"))
+        self.add_btn.setText(tr("schedtask.add_btn"))
+        self.add_btn.setToolTip(tr("schedtask.add_tooltip"))
+        self.ai_btn.setText(tr("schedtask.ai_btn"))
+        self.ai_btn.setToolTip(tr("schedtask.ai_tooltip"))
+        for i, v in enumerate(_VIEWS):
+            self.view_tabs.setTabText(i, tr(f"schedtask.view.{v}"))
+        for status, col in self.columns.items():
+            col.setToolTip(tr(f"schedtask.col_tip.{status}"))
+        self.refresh()
+
+    # ---- Kanban / Calendar view switch --------------------------------
+    def _on_view_changed(self) -> None:
+        self._view_stack.setCurrentIndex(self.view_tabs.currentIndex())
+
+    def _add_task_on_date(self, date_str: str) -> None:
+        """Create a task pre-filled with the clicked calendar date (default
+        09:00) — same editor Add Task opens, nothing is saved until confirmed."""
+        from .task_editor_dialog import TaskEditorDialog
+
+        t = new_task("", schedule={"enabled": True, "run_at": f"{date_str} 09:00"})
+        dlg = TaskEditorDialog(t, taskrepo.list_tasks(self._tasks_dir), self, ctx=self.ctx)
+        if dlg.exec() and dlg.edited_task:
+            self._save_and_refresh(dlg.edited_task)
+            self.status_message.emit(tr("schedtask.msg_created"))
+
+    # ---- lane widths ------------------------------------------------------
+    #
+    # The seven lanes share the board equally — that is the layout's stretch
+    # doing the work, so the split is a proportion of whatever width there is,
+    # on any monitor. The only pixel question left is how narrow a lane may get
+    # before scrolling sideways beats squeezing, and that is a question about
+    # TEXT: roughly eight characters of a task title plus its padding. Reading
+    # it off the font keeps it right at 125%/150% scaling and at a user's own
+    # font size, where a constant would not be.
+    _LANE_FLOOR_CH = 8
+
+    def eventFilter(self, obj, event):  # noqa: N802
+        from PySide6.QtCore import QEvent
+
+        if obj is self._board_scroll.viewport() and event.type() == QEvent.Resize:
+            self._fit_lanes()
+        return super().eventFilter(obj, event)
+
+    def _fit_lanes(self) -> None:
+        floor = self.fontMetrics().averageCharWidth() * self._LANE_FLOOR_CH + 24
+        for col in self.columns.values():
+            if col.minimumWidth() != floor:
+                col.setMinimumWidth(floor)
+
+    # ---- board rendering ---------------------------------------------------
+    def _card_text(self, t: dict) -> str:
+        prio = _PRIORITY_ICONS.get(t.get("priority", "medium"), "")
+        ai = "[AI] " if t.get("is_ai_generated") else ""
+        sched = t.get("schedule", {})
+        when = sched.get("run_at") if sched.get("enabled") else None
+        when_line = when or tr("schedtask.no_schedule")
+        chain = ""
+        if t.get("dependency", {}).get("next_task_id") or t.get("dependency", {}).get("previous_task_id"):
+            chain = " (linked)"
+        last = t.get("logs", {}).get("last_status")
+        last_line = {"success": tr("schedtask.last_success"),
+                     "failed": tr("schedtask.last_failed")}.get(last, tr("schedtask.last_never"))
+        # Card shows ONLY the task's own title (plus the [AI] marker and chain
+        # note) — no "[Cowork]"/"[Code]" task-type tag cluttering it.
+        return (f"{ai}{t.get('title', '')}{chain}\n"
+                f"{when_line}   {prio}\n{last_line}")
+
+    def refresh(self) -> None:
+        all_tasks = taskrepo.list_tasks(self._tasks_dir)
+        counts = {s: 0 for s in STATUSES}
+        for col in self.columns.values():
+            col.clear()
+        for t in all_tasks:
+            status = t.get("status", "backlog")
+            if status not in self.columns:
+                continue
+            counts[status] += 1
+            item = QListWidgetItem(self._card_text(t))
+            item.setData(Qt.UserRole, t["task_id"])
+            self.columns[status].addItem(item)
+        pal = current_palette()
+        for status, col in self.columns.items():
+            self.column_headers[status].setText(
+                f"{tr(f'schedtask.status.{status}')} ({counts[status]})")
+            # Dropping a card into Running STARTS the task for real, so that
+            # lane is outlined while it holds anything — the one column here
+            # with a side effect should not look like the other six.
+            if status == "running" and counts[status]:
+                col.setStyleSheet(
+                    f"border: 1px solid {pal.warning}; border-radius: {pal.radius}px;")
+                self.column_headers[status].setStyleSheet(
+                    f"font-weight:600; color: {pal.warning};")
+            else:
+                col.setStyleSheet("")
+                self.column_headers[status].setStyleSheet("font-weight:600;")
+            if col.count() == 0:
+                empty = QListWidgetItem(tr("schedtask.no_tasks"))
+                empty.setFlags(Qt.NoItemFlags)
+                col.addItem(empty)
+        summary = "   ".join(
+            f"{tr(f'schedtask.status.{s}')}: {counts[s]}" for s in STATUSES if counts[s])
+        self.counts_lbl.setText(summary)
+        self.counts_lbl.setToolTip(summary)   # full text stays reachable if clipped
+        self.calendar.set_tasks(all_tasks)
+
+    # ---- actions --------------------------------------------------------
+    def _save_and_refresh(self, task: dict) -> None:
+        taskrepo.save_task(task, self._tasks_dir)
+        self.refresh()
+
+    def _add_task(self) -> None:
+        from .task_editor_dialog import TaskEditorDialog
+
+        dlg = TaskEditorDialog(None, taskrepo.list_tasks(self._tasks_dir), self, ctx=self.ctx)
+        if dlg.exec() and dlg.edited_task:
+            self._save_and_refresh(dlg.edited_task)
+            self.status_message.emit(tr("schedtask.msg_created"))
+
+    def _edit_task(self, task_id: str) -> None:
+        from .task_editor_dialog import TaskEditorDialog
+
+        task = taskrepo.load_task(task_id, self._tasks_dir)
+        if not task:
+            return
+        dlg = TaskEditorDialog(task, taskrepo.list_tasks(self._tasks_dir), self, ctx=self.ctx)
+        if dlg.exec() and dlg.edited_task:
+            self._save_and_refresh(dlg.edited_task)
+
+    def _on_double_click(self, item: QListWidgetItem) -> None:
+        tid = item.data(Qt.UserRole)
+        if tid:
+            self._edit_task(tid)
+
+    def _on_task_dropped(self, task_id: str, new_status: str) -> None:
+        """Dropping a card into a lane ACTS on the task, not just relabels it:
+        → Running actually runs it now; → Done marks it completed; → Scheduled
+        puts it on the calendar (opening the editor if no time is set yet)."""
+        task = taskrepo.load_task(task_id, self._tasks_dir)
+        if not task:
+            return
+        if task.get("status") == "running":
+            self.refresh()   # can't drag a running task
+            return
+        if new_status == "running":
+            # Dropping into Running = "run it now" (counts as manual approval).
+            self.refresh()
+            self._run_now(task)
+            return
+        if new_status == "done":
+            task["status"] = "done"
+            task["schedule"]["enabled"] = False   # done by hand → don't re-fire
+            self._save_and_refresh(task)
+            return
+        task["status"] = new_status
+        if new_status == "scheduled" and not task["schedule"].get("enabled"):
+            if task["schedule"].get("run_at"):
+                task["schedule"]["enabled"] = True
+            else:
+                # No time set yet — a silently-disabled "Scheduled" card would
+                # never run and look broken. Open the editor so the user sets
+                # the schedule right away.
+                self._save_and_refresh(task)
+                self.status_message.emit(tr("schedtask.msg_set_schedule"))
+                self._edit_task(task_id)
+                return
+        self._save_and_refresh(task)
+
+    @staticmethod
+    def _is_multi_selection(item, selected) -> bool:
+        """True when the right-clicked card is part of an existing multi-item
+        selection — pure boolean, kept separate from _context_menu so it's
+        testable without ever invoking Qt's (modal, event-loop-blocking) menu."""
+        return len(selected) > 1 and item in selected
+
+    def _context_menu(self, col: _KanbanColumn, pos) -> None:
+        item = col.itemAt(pos)
+        if item is None or not item.data(Qt.UserRole):
+            return
+        selected = [it for it in col.selectedItems() if it.data(Qt.UserRole)]
+        if self._is_multi_selection(item, selected):
+            self._bulk_delete_menu(col, pos, selected)
+            return
+        tid = item.data(Qt.UserRole)
+        task = taskrepo.load_task(tid, self._tasks_dir)
+        if not task:
+            return
+        menu = QMenu(col)
+        run_act = menu.addAction(tr("schedtask.menu_run"))
+        edit_act = menu.addAction(tr("schedtask.menu_edit"))
+        dup_act = menu.addAction(tr("schedtask.menu_duplicate"))
+        paused = task.get("status") == "paused"
+        pause_act = menu.addAction(tr("schedtask.menu_resume" if paused else "schedtask.menu_pause"))
+        logs_act = menu.addAction(tr("schedtask.menu_logs"))
+        hist_act = menu.addAction(tr("schedtask.menu_history"))
+        next_act = menu.addAction(tr("schedtask.menu_create_next"))
+        menu.addSeparator()
+        del_act = menu.addAction(tr("schedtask.menu_delete"))
+        chosen = menu.exec(col.viewport().mapToGlobal(pos))
+        if chosen == run_act:
+            self._run_now(task)
+        elif chosen == edit_act:
+            self._edit_task(tid)
+        elif chosen == dup_act:
+            self._save_and_refresh(duplicate_task(task))
+        elif chosen == pause_act:
+            task["status"] = "backlog" if paused else "paused"
+            self._save_and_refresh(task)
+        elif chosen == logs_act:
+            self._view_logs(task)
+        elif chosen == hist_act:
+            _RunHistoryDialog(task, self).exec()
+        elif chosen == next_act:
+            self._create_next_from_output(task)
+        elif chosen == del_act:
+            if QMessageBox.question(self, tr("schedtask.menu_delete"),
+                                    tr("schedtask.delete_confirm", title=task.get("title", ""))
+                                    ) == QMessageBox.Yes:
+                taskrepo.delete_task(tid, self._tasks_dir)
+                self.refresh()
+
+    def _bulk_delete_menu(self, col: _KanbanColumn, pos, selected) -> None:
+        """Right-click on a multi-selection within one column (Shift/Ctrl-click
+        several cards first): one action deletes every selected task. The
+        popup itself is a thin wrapper — see _confirm_and_delete_selected for
+        the actual (independently testable) confirm+delete logic."""
+        menu = QMenu(col)
+        del_act = menu.addAction(tr("schedtask.menu_delete_selected", n=len(selected)))
+        chosen = menu.exec(col.viewport().mapToGlobal(pos))
+        if chosen == del_act:
+            self._confirm_and_delete_selected(selected)
+
+    def _confirm_and_delete_selected(self, selected) -> bool:
+        """Confirm, then delete every task in ``selected``. Split out of
+        _bulk_delete_menu so tests can drive it directly without having to
+        fake a real (modal, event-loop-blocking) QMenu popup."""
+        if QMessageBox.question(
+                self, tr("schedtask.menu_delete"),
+                tr("schedtask.delete_multi_confirm", n=len(selected))) != QMessageBox.Yes:
+            return False
+        for item in selected:
+            tid = item.data(Qt.UserRole)
+            if tid:
+                taskrepo.delete_task(tid, self._tasks_dir)
+        self.refresh()
+        return True
+
+    def _run_now(self, task: dict) -> None:
+        if task.get("task_type") == "manual":
+            self.status_message.emit(tr("schedtask.msg_manual_norun"))
+            return
+        if self.scheduler is None:
+            self.status_message.emit(tr("schedtask.msg_no_scheduler"))
+            return
+        if self.scheduler.run_now(task["task_id"]):
+            self.status_message.emit(tr("schedtask.msg_running", title=task.get("title", "")))
+        self.refresh()
+
+    def _view_logs(self, task: dict) -> None:
+        run_id = task.get("logs", {}).get("last_run_id")
+        if not run_id:
+            QMessageBox.information(self, tr("schedtask.menu_logs"), tr("schedtask.no_runs_yet"))
+            return
+        folder = taskrepo.ARTIFACTS_DIR / task["task_id"] / run_id
+        if folder.exists():
+            open_path(str(folder))
+        else:
+            QMessageBox.information(self, tr("schedtask.menu_logs"), tr("schedtask.no_runs_yet"))
+
+    def _create_next_from_output(self, task: dict) -> None:
+        """Scaffold a follow-up task pre-wired to consume this task's output."""
+        nxt = new_task(tr("schedtask.next_of", title=task.get("title", "")))
+        nxt["task_type"] = "cowork"
+        nxt["input"]["mode"] = "previous_task_output"
+        nxt["input"]["previous_task_id"] = task["task_id"]
+        nxt["dependency"]["previous_task_id"] = task["task_id"]
+        err = chain_error(taskrepo.list_tasks(self._tasks_dir) + [nxt],
+                          task["task_id"], nxt["task_id"])
+        if err:
+            QMessageBox.warning(self, tr("schedtask.g_dependency"), err)
+            return
+        taskrepo.save_task(nxt, self._tasks_dir)
+        task["dependency"]["next_task_id"] = nxt["task_id"]
+        task["dependency"]["pass_output_to_next"] = True
+        if task["dependency"].get("run_next_mode", "none") == "none":
+            task["dependency"]["run_next_mode"] = "run_after_success"
+        taskrepo.save_task(task, self._tasks_dir)
+        self.refresh()
+        self._edit_task(nxt["task_id"])
+
+    # ---- AI create ----------------------------------------------------------
+    def _ai_create(self) -> None:
+        dlg = _AiCreateDialog(self.ctx, self)
+        if dlg.exec() and dlg.created_tasks:
+            for t in dlg.created_tasks:
+                taskrepo.save_task(t, self._tasks_dir)
+            self.refresh()
+            self.status_message.emit(tr("schedtask.msg_ai_created", n=len(dlg.created_tasks)))
+
+
+class _RunHistoryDialog(QDialog):
+    """Run history of one task as a table (newest first): time, status, error;
+    double-click a row to open that run's artifact folder."""
+
+    def __init__(self, task: dict, parent=None):
+        super().__init__(parent)
+        self._task = task
+        self.setWindowTitle(f"{tr('schedtask.menu_history')} — {task.get('title', '')}")
+        self.resize(620, 380)
+        root = QVBoxLayout(self)
+        hint = QLabel(tr("schedtask.hist_hint"))
+        hint.setObjectName("hint")
+        root.addWidget(hint)
+
+        runs = list(reversed(task.get("runs", []) or []))
+        self.table = QTableWidget(len(runs), 4)
+        self.table.setHorizontalHeaderLabels([
+            tr("schedtask.hist_col_time"), tr("schedtask.hist_col_status"),
+            tr("schedtask.hist_col_run"), tr("schedtask.hist_col_error"),
+        ])
+        self.table.setEditTriggers(QAbstractItemView.NoEditTriggers)
+        self.table.setSelectionBehavior(QAbstractItemView.SelectRows)
+        for row, run in enumerate(runs):
+            ok = run.get("status") == "success"
+            cells = (
+                run.get("finished_at", ""),
+                str(run.get("status", "")),
+                run.get("run_id", ""),
+                (run.get("error") or "")[:200],
+            )
+            for col, text in enumerate(cells):
+                item = QTableWidgetItem(str(text))
+                if col == 0:
+                    item.setData(Qt.UserRole, run.get("run_id", ""))
+                self.table.setItem(row, col, item)
+        self.table.resizeColumnsToContents()
+        self.table.horizontalHeader().setStretchLastSection(True)
+        self.table.itemDoubleClicked.connect(self._open_artifact)
+        root.addWidget(self.table, 1)
+
+        buttons = QDialogButtonBox(QDialogButtonBox.Close)
+        buttons.rejected.connect(self.reject)
+        buttons.accepted.connect(self.accept)
+        root.addWidget(buttons)
+
+    def _open_artifact(self, item: QTableWidgetItem) -> None:
+        first = self.table.item(item.row(), 0)
+        run_id = first.data(Qt.UserRole) if first else ""
+        if not run_id:
+            return
+        folder = taskrepo.ARTIFACTS_DIR / self._task["task_id"] / run_id
+        if folder.exists():
+            open_path(str(folder))
+
+
+class _DropZone(QLabel):
+    """Drag-an-.xlsx-here area for the Import tab."""
+
+    file_dropped = Signal(str)
+
+    def __init__(self):
+        super().__init__()
+        self.setAlignment(Qt.AlignCenter)
+        self.setMinimumHeight(70)
+        _p = current_palette()
+        self.setStyleSheet(
+            f"QLabel {{ border: 1px dashed {_p.border_strong};"
+            f" border-radius: {_p.radius_lg}px;"
+            f" color: {_p.text_muted}; padding: 10px; }}")
+        self.setAcceptDrops(True)
+
+    def dragEnterEvent(self, event):  # noqa: N802
+        urls = event.mimeData().urls()
+        if urls and urls[0].toLocalFile().lower().endswith(
+                (".xlsx", ".xlsm", ".xls", ".csv", ".json")):
+            event.acceptProposedAction()
+
+    def dropEvent(self, event):  # noqa: N802
+        urls = event.mimeData().urls()
+        if urls:
+            self.file_dropped.emit(urls[0].toLocalFile())
+
+
+class _AiCreateDialog(QDialog):
+    """Create tasks two ways, one tab each (both preview first — nothing is
+    saved until the user confirms): ✨ AI gen from a natural-language
+    description, or 📥 Import from a filled Excel template (pick or drag)."""
+
+    def __init__(self, ctx: AppContext, parent=None):
+        super().__init__(parent)
+        from PySide6.QtWidgets import QTabWidget
+
+        self.ctx = ctx
+        self.created_tasks: List[dict] = []
+        self._planned: List[dict] = []
+        self._worker: Optional[AgentWorker] = None
+        self.setWindowTitle(tr("schedtask.ai_btn"))
+        self.resize(600, 520)
+
+        root = QVBoxLayout(self)
+        ws_row = QHBoxLayout()
+        ws_row.addWidget(QLabel(tr("schedtask.f_workspace")))
+        self.workspace_combo = QComboBox()
+        self.workspace_combo.addItem(tr("schedtask.no_workspace"), "")
+        for p in list_projects():
+            self.workspace_combo.addItem(p.name, p.project_id)
+        self.workspace_combo.setToolTip(tr("schedtask.hint_workspace"))
+        ws_row.addWidget(self.workspace_combo, 1)
+        root.addLayout(ws_row)
+        self.tabs = QTabWidget()
+        root.addWidget(self.tabs, 1)
+
+        # ---- tab 1: AI gen ------------------------------------------------
+        ai_page = QWidget()
+        al = QVBoxLayout(ai_page)
+        al.addWidget(QLabel(tr("schedtask.ai_desc_label")))
+        self.desc_edit = QPlainTextEdit()
+        self.desc_edit.setPlaceholderText(tr("schedtask.ai_desc_ph"))
+        self.desc_edit.setMaximumHeight(110)
+        al.addWidget(self.desc_edit)
+        # Attachments (files + links) — merged into every task this generates,
+        # AND into the planning prompt so the AI knows they exist.
+        attach_row = QHBoxLayout()
+        self.ai_files_edit = QLineEdit()
+        self.ai_files_edit.setPlaceholderText(tr("schedtask.files_placeholder"))
+        ai_pick_btn = QPushButton(tr("schedtask.pick_files"))
+        ai_pick_btn.setIcon(icon("folder"))
+        ai_pick_btn.clicked.connect(self._ai_pick_files)
+        attach_row.addWidget(self.ai_files_edit, 1)
+        attach_row.addWidget(ai_pick_btn)
+        al.addWidget(QLabel(tr("schedtask.f_files")))
+        al.addLayout(attach_row)
+        self.ai_links_edit = QLineEdit()
+        self.ai_links_edit.setPlaceholderText(tr("schedtask.links_placeholder"))
+        al.addWidget(QLabel(tr("schedtask.f_links")))
+        al.addWidget(self.ai_links_edit)
+        self.gen_btn = QPushButton(tr("schedtask.ai_generate"))
+        self.gen_btn.setIcon(icon("sparkle"))
+        self.gen_btn.setObjectName("primary")
+        self.gen_btn.clicked.connect(self._generate)
+        al.addWidget(self.gen_btn)
+        al.addWidget(QLabel(tr("schedtask.ai_preview_label")))
+        self.preview = QPlainTextEdit()
+        self.preview.setReadOnly(True)
+        al.addWidget(self.preview, 1)
+        self.tabs.addTab(ai_page, tr("schedtask.tab_ai"))
+
+        # ---- tab 2: Import from Excel --------------------------------------
+        imp_page = QWidget()
+        il = QVBoxLayout(imp_page)
+        tpl_btn = QPushButton(tr("schedtask.export_template_btn"))
+        tpl_btn.setIcon(icon("upload"))
+        tpl_btn.clicked.connect(self._export_template)
+        il.addWidget(tpl_btn)
+        pick_row = QHBoxLayout()
+        pick_btn = QPushButton(tr("schedtask.import_pick_btn"))
+        pick_btn.setIcon(icon("folder"))
+        pick_btn.clicked.connect(self._pick_import_file)
+        pick_row.addWidget(pick_btn)
+        pick_row.addStretch(1)
+        il.addLayout(pick_row)
+        self.drop_zone = _DropZone()
+        self.drop_zone.setText(tr("schedtask.drop_hint"))
+        self.drop_zone.file_dropped.connect(self._load_import_file)
+        il.addWidget(self.drop_zone)
+        il.addWidget(QLabel(tr("schedtask.ai_preview_label")))
+        self.import_preview = QPlainTextEdit()
+        self.import_preview.setReadOnly(True)
+        il.addWidget(self.import_preview, 1)
+        self.tabs.addTab(imp_page, tr("schedtask.tab_import"))
+
+        self.buttons = QDialogButtonBox(QDialogButtonBox.Ok | QDialogButtonBox.Cancel)
+        self.buttons.button(QDialogButtonBox.Ok).setText(tr("schedtask.ai_confirm"))
+        self.buttons.button(QDialogButtonBox.Ok).setEnabled(False)
+        self.buttons.accepted.connect(self._confirm)
+        self.buttons.rejected.connect(self.reject)
+        root.addWidget(self.buttons)
+
+    # ---- Import tab ------------------------------------------------------
+    def _export_template(self) -> None:
+        from PySide6.QtWidgets import QFileDialog
+
+        from ..core.task_excel import export_template
+
+        path, _ = QFileDialog.getSaveFileName(
+            self, tr("schedtask.export_template_btn"),
+            "cowork_tasks_template.xlsx", "Excel (*.xlsx)")
+        if not path:
+            return
+        try:
+            export_template(path)
+            open_path(str(Path(path).parent))
+        except Exception as exc:  # noqa: BLE001
+            QMessageBox.warning(self, tr("schedtask.tab_import"), str(exc))
+
+    def _pick_import_file(self) -> None:
+        from PySide6.QtWidgets import QFileDialog
+
+        from ..core.task_import import IMPORT_FILTER
+
+        path, _ = QFileDialog.getOpenFileName(
+            self, tr("schedtask.import_pick_btn"), "", IMPORT_FILTER)
+        if path:
+            self._load_import_file(path)
+
+    def _load_import_file(self, path: str) -> None:
+        from ..core.task_import import import_tasks
+
+        try:
+            self._planned = import_tasks(path)
+        except ValueError as exc:
+            self.import_preview.setPlainText(str(exc))
+            self.buttons.button(QDialogButtonBox.Ok).setEnabled(False)
+            return
+        by_id = {t["task_id"]: t["title"] for t in self._planned}
+        lines = []
+        for i, t in enumerate(self._planned, 1):
+            sched = t.get("schedule", {})
+            when = sched.get("run_at") if sched.get("enabled") else tr("schedtask.no_schedule")
+            deps = t.get("dependency", {}).get("depends_on") or []
+            dep_note = ("  ← depends: " + ", ".join(by_id.get(d, "?") for d in deps)) if deps else ""
+            lines.append(f"{i}. [{t.get('task_type')}] {t.get('title')}\n"
+                         f"    {when}   repeat={sched.get('repeat_type', 'none')}{dep_note}")
+        self.import_preview.setPlainText("\n\n".join(lines))
+        self.buttons.button(QDialogButtonBox.Ok).setEnabled(bool(self._planned))
+
+    def _ai_pick_files(self) -> None:
+        from PySide6.QtWidgets import QFileDialog
+
+        files, _ = QFileDialog.getOpenFileNames(self, tr("schedtask.pick_files"))
+        if files:
+            existing = [f for f in self.ai_files_edit.text().split(";") if f.strip()]
+            self.ai_files_edit.setText("; ".join(existing + files))
+
+    def _attached_files(self) -> List[str]:
+        return [p.strip() for p in self.ai_files_edit.text().split(";") if p.strip()]
+
+    def _attached_links(self) -> List[str]:
+        return [u.strip() for u in self.ai_links_edit.text().split(";") if u.strip()]
+
+    def _generate(self) -> None:
+        description = self.desc_edit.toPlainText().strip()
+        if not description or self._worker is not None:
+            return
+        files, links = self._attached_files(), self._attached_links()
+        self.gen_btn.setEnabled(False)
+        self.gen_btn.setText(tr("schedtask.ai_generating"))
+
+        def job(worker: AgentWorker):
+            from ..core.ai_task_planner import plan_tasks
+
+            provider = self.ctx.build_active_provider()
+            full_desc = description
+            if files or links:
+                attach_note = "; ".join(files + links)
+                full_desc += f"\n\n(Attached references available: {attach_note})"
+            planned = plan_tasks(provider, full_desc, cancel=worker.is_cancelled)
+            # Attachments apply to every generated task so they're available
+            # at RUN time too, not just visible to the planner.
+            for t in planned:
+                t["input"]["file_paths"] = list(files)
+                t["input"]["links"] = list(links)
+            return {"tasks": planned}
+
+        w = AgentWorker(job)
+        w.finished_ok.connect(self._on_planned)
+        w.failed.connect(self._on_failed)
+        self._worker = w
+        w.start()
+
+    def _on_planned(self, result: dict) -> None:
+        self._worker = None
+        self.gen_btn.setEnabled(True)
+        self.gen_btn.setText(tr("schedtask.ai_generate"))
+        self._planned = result.get("tasks") or []
+        lines = []
+        for i, t in enumerate(self._planned, 1):
+            sched = t.get("schedule", {})
+            when = sched.get("run_at") if sched.get("enabled") else tr("schedtask.no_schedule")
+            dep = t.get("dependency", {})
+            chain = f"  ← {dep.get('previous_task_id', '')[:8]}" if dep.get("previous_task_id") else ""
+            lines.append(f"{i}. [{t.get('task_type')}] {t.get('title')}\n"
+                         f"    {when}   repeat={sched.get('repeat_type', 'none')}{chain}\n"
+                         f"    {t.get('description', '')[:150]}")
+        self.preview.setPlainText("\n\n".join(lines))
+        self.buttons.button(QDialogButtonBox.Ok).setEnabled(bool(self._planned))
+
+    def _on_failed(self, err: str) -> None:
+        self._worker = None
+        self.gen_btn.setEnabled(True)
+        self.gen_btn.setText(tr("schedtask.ai_generate"))
+        self.preview.setPlainText(str(err))
+
+    def _confirm(self) -> None:
+        project_id = self.workspace_combo.currentData() or ""
+        for t in self._planned:
+            t["project_id"] = project_id
+        self.created_tasks = self._planned
+        self.accept()
diff --git a/ui/settings_dialog.py b/ui/settings_dialog.py
index 1c1abd0..1057a14 100644
--- a/ui/settings_dialog.py
+++ b/ui/settings_dialog.py
@@ -1,649 +1,728 @@
-"""Settings dialog: AI provider, Sandbox, the unified Connectors (MCP) group
-(CAD / CAE / MS365 / Other — MCP servers + REST connectors in one place),
-and the merged "Parameter" group (Cowork / Attachments / GraphRAG caps)."""
-from __future__ import annotations
-
-from typing import Dict
-
-from PySide6.QtCore import Qt
-from PySide6.QtGui import QGuiApplication
-from PySide6.QtWidgets import (
-    QCheckBox, QComboBox, QDialog, QDialogButtonBox, QFileDialog, QFormLayout,
-    QGroupBox, QHBoxLayout, QLabel, QLineEdit, QListWidget, QListWidgetItem,
-    QMessageBox, QPushButton, QScrollArea, QSpinBox, QTreeWidget, QTreeWidgetItem,
-    QVBoxLayout, QWidget,
-)
-
-from ..config import PROVIDER_LABELS
-from ..core.ext_connectors import CATEGORIES as EXT_CATEGORIES
-from ..core.worker import AgentWorker
-from ..i18n import LANGUAGES, tr
-from ..state import AppContext
-from .icons import icon, IconLabel
-from .ext_connector_dialog import ExtConnectorEditDialog
-
-
-class SettingsDialog(QDialog):
-    def __init__(self, ctx, parent=None):
-        super().__init__()
-        self.ctx = ctx
-        self.setWindowTitle(tr("settings.title"))
-        self.setMinimumWidth(560)
-        self.setWindowFlags(
-            self.windowFlags()
-            | Qt.WindowMinimizeButtonHint
-            | Qt.WindowMaximizeButtonHint
-        )
-        self.setSizeGripEnabled(True)
-        self.setStyleSheet(
-            "QGroupBox { background: transparent;"
-            " border: 1px solid rgba(140,146,152,0.35); }")
-        data = ctx.config.data
-
-        outer = QVBoxLayout(self)
-        scroll = QScrollArea()
-        scroll.setWidgetResizable(True)
-        self._content = QWidget()
-        root = QVBoxLayout(self._content)
-
-        # --- language + tray ---
-        top = QFormLayout()
-        self.language_combo = QComboBox()
-        for key, label in LANGUAGES.items():
-            self.language_combo.addItem(label, key)
-        self._select_combo(self.language_combo, ctx.config.language)
-        top.addRow(tr("settings.language"), self.language_combo)
-
-        self.tray_chk = QCheckBox(tr("settings.tray_keep"))
-        self.tray_chk.setChecked(bool(data.get("tray", {}).get("minimize_on_close", True)))
-        top.addRow("", self.tray_chk)
-        self.notify_chk = QCheckBox(tr("settings.tray_notify"))
-        self.notify_chk.setChecked(bool(data.get("tray", {}).get("notify_on_done", True)))
-        top.addRow("", self.notify_chk)
-        root.addLayout(top)
-
-        self._load_workers = []
-
-        # --- AI Provider ---
-        self._prov_staging: Dict[str, dict] = {
-            key: dict(conf) for key, conf in data["providers"].items()
-        }
-        self.provider_combo = QComboBox()
-        for key, label in PROVIDER_LABELS.items():
-            self.provider_combo.addItem(label, key)
-        self._select_combo(self.provider_combo, ctx.config.active_provider)
-        self._prov_current_key = self.provider_combo.currentData()
-
-        conf = self._prov_staging.get(self._prov_current_key, {})
-        self.prov_base = QLineEdit(conf.get("base_url", ""))
-        self.prov_key = self._secret(conf.get("api_key", ""))
-        self.prov_model = self._model_combo(conf.get("model", ""))
-        self.prov_status = QLabel("")
-        self.prov_status.setObjectName("hint")
-        self.prov_status.setWordWrap(True)
-        prov_group = self._group(tr("settings.group.provider"), [
-            (tr("settings.active_provider"), self.provider_combo),
-            (tr("settings.base_url"), self.prov_base),
-            (tr("settings.api_key"), self.prov_key),
-            (tr("settings.model"), self._with_load(self.prov_model, self.prov_status)),
-        ])
-        prov_group.layout().addRow("", self.prov_status)
-        self.provider_combo.currentIndexChanged.connect(self._on_provider_edit_changed)
-        root.addWidget(prov_group)
-
-        # --- Sandbox Security Layer ---
-        sec = ctx.config.agent_security
-        self.sandbox_group = QGroupBox(tr("settings.group.sandbox"))
-        sbl = QVBoxLayout(self.sandbox_group)
-
-        # --- Password protection for Sandbox Security (at top) ---
-        self.sandbox_pw_label = IconLabel("lock", "Sandbox Security Password")
-        sbl.addWidget(self.sandbox_pw_label)
-
-        pw_row = QHBoxLayout()
-        self.sandbox_pw_edit = QLineEdit("")
-        self.sandbox_pw_edit.setPlaceholderText("Enter password to edit sandbox settings")
-        self.sandbox_pw_edit.setEchoMode(QLineEdit.Password)
-        pw_row.addWidget(self.sandbox_pw_edit, 1)
-        self.sandbox_unlock_btn = QPushButton("Unlock")
-        self.sandbox_unlock_btn.clicked.connect(self._sandbox_unlock)
-        pw_row.addWidget(self.sandbox_unlock_btn)
-        self.sandbox_locked_status = IconLabel("lock", "Locked (changes disabled)", color="#c00")
-        self.sandbox_locked_status.text_label().setStyleSheet("color: #c00; font-weight: bold;")
-        pw_row.addWidget(self.sandbox_locked_status)
-        sbl.addLayout(pw_row)
-        self._sandbox_unlocked = False  # Start LOCKED — must enter password first
-        self._sandbox_pw = sec.get("sandbox_pw", "")
-
-        # Separator line between pw section and sandbox settings
-        pw_sep = QLabel("────────────────")
-        sbl.addWidget(pw_sep)
-
-        self.sandbox_confirm = QCheckBox(tr("settings.sandbox_confirm_commands"))
-        self.sandbox_confirm.setChecked(bool(sec.get("cowork_confirm_commands", False)))
-        self.sandbox_confirm.setToolTip(tr("settings.sandbox_confirm_commands_tooltip"))
-        sbl.addWidget(self.sandbox_confirm)
-
-        self.sandbox_block_network = QCheckBox(tr("settings.sandbox_block_network"))
-        self.sandbox_block_network.setChecked(bool(sec.get("block_network", True)))
-        self.sandbox_block_network.setToolTip(tr("settings.sandbox_block_network_tooltip"))
-        sbl.addWidget(self.sandbox_block_network)
-
-        # "Allow the agent to fetch URLs" + the live "Test Internet" self-test
-        # moved to Monitoring → Tools → Tool (they govern a tool capability, so
-        # they belong with the other tool toggles — see ToolsAdminTab).
-
-        # --- Enable/Disable Agent Security ---
-        self.sec_enabled = QCheckBox("Enable Agent Security (command validation)")
-        self.sec_enabled.setChecked(bool(sec.get("enabled", True)))
-        self.sec_enabled.setToolTip("Bật/tắt toàn bộ Agent Security")
-        sbl.addWidget(self.sec_enabled)
-
-        # --- AI Command Check toggle ---
-        self.ai_check = QCheckBox("AI check commands")
-        self.ai_check.setChecked(bool(sec.get("command_ai_check", False)))
-        self.ai_check.setToolTip("Cho AI control-agent xét lệnh trước khi chạy")
-        sbl.addWidget(self.ai_check)
-
-        # Resource limits (CPU/Memory/Disk I/O) moved to the Parameter group
-        # below — see _param_section("settings.group.sandbox_limits").
-
-        # Collect all sandbox-editable widgets and lock them until unlocked
-        self._sandbox_widgets = [
-            self.sandbox_confirm, self.sandbox_block_network,
-            self.ai_check, self.sec_enabled,
-        ]
-        for _w in self._sandbox_widgets:
-            _w.setEnabled(False)
-
-        root.addWidget(self.sandbox_group)
-
-        # Connectors (MCP / REST API) are managed entirely in Monitoring → Tools
-        # → Connector now — no connector UI in Settings. (_ms365_workers is kept
-        # for the dead-but-retained MS365 OAuth sign-in handlers below.)
-        self._ms365_workers = []
-
-        # --- Parameter ---
-        param_group = QGroupBox(tr("settings.group.parameter"))
-        pgl = QFormLayout(param_group)
-
-        def _param_section(key: str) -> None:
-            lbl = QLabel(tr(key))
-            lbl.setStyleSheet("font-weight:600; margin-top:6px;")
-            pgl.addRow(lbl)
-
-        # Parallel-conversation limit removed — conversations and flows now run
-        # unlimited in parallel (no cap, no Settings row).
-        att = data.get("attachments", {})
-        _param_section("settings.group.attachments")
-        self.attach_files = QSpinBox()
-        self.attach_files.setRange(1, 50)
-        self.attach_files.setSuffix(tr("settings.max_files_suffix"))
-        self.attach_files.setValue(max(1, int(att.get("max_files", 20))))
-        self.attach_files.setToolTip(tr("settings.max_files_tooltip"))
-        self.attach_tokens = QSpinBox()
-        self.attach_tokens.setRange(1, 1000)
-        self.attach_tokens.setSingleStep(5)
-        self.attach_tokens.setSuffix(tr("settings.max_per_file_suffix"))
-        self.attach_tokens.setValue(max(1, int(att.get("max_tokens", 500000)) // 1000))
-        self.attach_tokens.setToolTip(tr("settings.max_per_file_tooltip"))
-        pgl.addRow(tr("settings.max_files"), self.attach_files)
-        pgl.addRow(tr("settings.max_per_file"), self.attach_tokens)
-
-        st = data.get("structure", {})
-        _param_section("settings.group.structure")
-        self.struct_nodes = QSpinBox()
-        self.struct_nodes.setRange(0, 100000)
-        self.struct_nodes.setSpecialValueText(tr("settings.unlimited"))
-        self.struct_nodes.setSuffix(tr("settings.nodes_suffix"))
-        self.struct_nodes.setValue(max(0, int(st.get("max_nodes", 500))))
-        self.struct_nodes.setToolTip(tr("settings.nodes_tooltip"))
-        self.struct_edges = QSpinBox()
-        self.struct_edges.setRange(0, 200000)
-        self.struct_edges.setSpecialValueText(tr("settings.unlimited"))
-        self.struct_edges.setSuffix(tr("settings.edges_suffix"))
-        self.struct_edges.setValue(max(0, int(st.get("max_edges", 500))))
-        self.struct_edges.setToolTip(tr("settings.edges_tooltip"))
-        pgl.addRow(tr("settings.max_nodes"), self.struct_nodes)
-        pgl.addRow(tr("settings.max_edges"), self.struct_edges)
-
-        # Sandbox resource limits (CPU / Memory / Disk I/O) — moved here from
-        # the Sandbox Security group; still stored under agent_security.*.
-        _param_section("settings.group.sandbox_limits")
-        self.sandbox_cpu = QSpinBox()
-        self.sandbox_cpu.setRange(0, 100_000)
-        self.sandbox_cpu.setSuffix(" %")
-        self.sandbox_cpu.setSpecialValueText(tr("settings.sandbox_unlimited"))
-        self.sandbox_cpu.setValue(int(sec.get("resource_limit_cpu_percent", 0) or 0))
-        pgl.addRow(tr("settings.sandbox_cpu_label"), self.sandbox_cpu)
-
-        self.sandbox_memory = QSpinBox()
-        self.sandbox_memory.setRange(0, 1_000_000)
-        self.sandbox_memory.setSuffix(" MB")
-        self.sandbox_memory.setSpecialValueText(tr("settings.sandbox_unlimited"))
-        self.sandbox_memory.setValue(int(sec.get("resource_limit_memory_mb", 2048) or 2048))
-        pgl.addRow(tr("settings.sandbox_memory_label"), self.sandbox_memory)
-
-        self.sandbox_disk = QSpinBox()
-        self.sandbox_disk.setRange(0, 1_000_000)
-        self.sandbox_disk.setSuffix(" MB")
-        self.sandbox_disk.setSpecialValueText(tr("settings.sandbox_unlimited"))
-        self.sandbox_disk.setValue(int(sec.get("resource_limit_disk_mb", 2048) or 2048))
-        pgl.addRow(tr("settings.sandbox_disk_label"), self.sandbox_disk)
-
-        root.addWidget(param_group)
-
-        # ---- Auto Model Routing ------------------------------------------
-        routing = self.ctx.config.routing
-        routing_group = QGroupBox(tr("routing.settings_group"))
-        rgl = QFormLayout(routing_group)
-
-        self.routing_mode = QComboBox()
-        for value, key in (("off", "routing.mode_off"), ("auto", "routing.mode_auto"),
-                           ("manual", "routing.mode_manual")):
-            self.routing_mode.addItem(tr(key), value)
-        self._select_combo(self.routing_mode, routing.get("switch_mode", "off"))
-        rgl.addRow(tr("routing.settings_mode"), self.routing_mode)
-
-        self.routing_policy = QComboBox()
-        for value, key in (("quality", "routing.policy_quality"), ("cost", "routing.policy_cost"),
-                           ("latency", "routing.policy_latency"), ("balanced", "routing.policy_balanced")):
-            self.routing_policy.addItem(tr(key), value)
-        self._select_combo(self.routing_policy, routing.get("policy", "balanced"))
-        rgl.addRow(tr("routing.settings_policy"), self.routing_policy)
-
-        # Min score gain stored as a fraction (0..1); shown as a percentage.
-        self.routing_min_gain = QSpinBox()
-        self.routing_min_gain.setRange(0, 100)
-        self.routing_min_gain.setSuffix(" %")
-        self.routing_min_gain.setValue(int(round(float(routing.get("min_score_gain", 0.05)) * 100)))
-        rgl.addRow(tr("routing.settings_min_gain"), self.routing_min_gain)
-
-        self.routing_timeout = QSpinBox()
-        self.routing_timeout.setRange(5, 600)
-        self.routing_timeout.setSuffix(" s")
-        self.routing_timeout.setValue(int(routing.get("confirm_timeout_sec", 60) or 60))
-        rgl.addRow(tr("routing.settings_timeout"), self.routing_timeout)
-
-        self.routing_interval = QSpinBox()
-        self.routing_interval.setRange(0, 720)
-        self.routing_interval.setSpecialValueText(tr("routing.mode_off"))  # 0 = disabled
-        self.routing_interval.setSuffix(" h")
-        self.routing_interval.setValue(int(routing.get("reassess_interval_hours", 24) or 0))
-        rgl.addRow(tr("routing.settings_interval"), self.routing_interval)
-
-        self.routing_concurrency = QSpinBox()
-        self.routing_concurrency.setRange(1, 16)
-        self.routing_concurrency.setValue(int(routing.get("per_provider_concurrency", 2) or 2))
-        rgl.addRow(tr("routing.settings_concurrency"), self.routing_concurrency)
-
-        self.routing_judge = QLineEdit(routing.get("judge_model", ""))
-        rgl.addRow(tr("routing.settings_judge"), self.routing_judge)
-
-        self.routing_reassess_btn = QPushButton(tr("routing.settings_reassess_now"))
-        self.routing_reassess_btn.clicked.connect(self._routing_reassess_now)
-        rgl.addRow("", self.routing_reassess_btn)
-
-        rhint = QLabel(tr("routing.settings_hint"))
-        rhint.setObjectName("hint")
-        rhint.setWordWrap(True)
-        rgl.addRow(rhint)
-        root.addWidget(routing_group)
-
-        note = QLabel(tr("settings.tip"))
-        note.setObjectName("hint")
-        root.addWidget(note)
-
-        scroll.setWidget(self._content)
-        outer.addWidget(scroll, 1)
-
-        buttons = QDialogButtonBox(QDialogButtonBox.Save | QDialogButtonBox.Cancel)
-        buttons.accepted.connect(self._save)
-        buttons.rejected.connect(self.reject)
-        outer.addWidget(buttons)
-
-        from .widgets import guard_wheel
-        guard_wheel(self)
-
-        screen = QGuiApplication.primaryScreen()
-        if screen:
-            avail = screen.availableGeometry()
-            self.resize(640, min(740, avail.height() - 80))
-            self.setMaximumHeight(avail.height())
-
-    # ---- helpers -----------------------------------------------------
-    @staticmethod
-    def _secret(value: str) -> QLineEdit:
-        edit = QLineEdit(value)
-        edit.setEchoMode(QLineEdit.Password)
-        return edit
-
-    @staticmethod
-    def _select_combo(combo: QComboBox, value: str) -> None:
-        idx = combo.findData(value)
-        if idx >= 0:
-            combo.setCurrentIndex(idx)
-
-    @staticmethod
-    def _group(title: str, rows) -> QGroupBox:
-        box = QGroupBox(title)
-        form = QFormLayout(box)
-        for label, widget in rows:
-            form.addRow(label, widget)
-        return box
-
-    def _routing_reassess_now(self) -> None:
-        """Kick off a manual model reassessment in the background."""
-        try:
-            service = self.ctx.routing()
-            if service.is_reassessing():
-                return
-            self.routing_reassess_btn.setEnabled(False)
-            self.routing_reassess_btn.setText(tr("routing.reassessing"))
-
-            def _done(result) -> None:
-                # Re-enable from the (worker) callback; label reflects the count.
-                self.routing_reassess_btn.setEnabled(True)
-                self.routing_reassess_btn.setText(
-                    tr("routing.reassess_done", count=len(result or {})))
-
-            service.reassess_background(on_done=_done)
-        except Exception:  # noqa: BLE001 — a reassess click must never crash Settings
-            self.routing_reassess_btn.setEnabled(True)
-            self.routing_reassess_btn.setText(tr("routing.settings_reassess_now"))
-
-    @staticmethod
-    def _model_combo(value: str) -> QComboBox:
-        combo = QComboBox()
-        combo.setEditable(True)
-        if value:
-            combo.addItem(value)
-            combo.setCurrentText(value)
-        return combo
-
-    def _with_load(self, combo: QComboBox, status: QLabel) -> QWidget:
-        row = QWidget()
-        lay = QHBoxLayout(row)
-        lay.setContentsMargins(0, 0, 0, 0)
-        lay.addWidget(combo, 1)
-        btn = QPushButton(tr("settings.load"))
-        btn.setIcon(icon("download"))
-        btn.setToolTip(tr("settings.load_tooltip"))
-        btn.clicked.connect(
-            lambda: self._load_models(self.provider_combo.currentData(), combo, status))
-        lay.addWidget(btn)
-        test_btn = QPushButton(tr("settings.test_connection"))
-        test_btn.setIcon(icon("flask"))
-        test_btn.setToolTip(tr("settings.test_connection_tooltip"))
-        test_btn.clicked.connect(
-            lambda: self._test_connection(self.provider_combo.currentData(), status))
-        lay.addWidget(test_btn)
-        return row
-
-    def _stash_provider_fields(self) -> None:
-        staged = self._prov_staging.setdefault(self._prov_current_key, {})
-        staged.update({
-            "base_url": self.prov_base.text().strip(),
-            "api_key": self.prov_key.text(),
-            "model": self.prov_model.currentText().strip(),
-        })
-
-    def _on_provider_edit_changed(self) -> None:
-        self._stash_provider_fields()
-        self._prov_current_key = self.provider_combo.currentData()
-        conf = self._prov_staging.get(self._prov_current_key, {})
-        self.prov_base.setText(conf.get("base_url", ""))
-        self.prov_key.setText(conf.get("api_key", ""))
-        self.prov_model.clear()
-        if conf.get("model"):
-            self.prov_model.addItem(conf["model"])
-            self.prov_model.setCurrentText(conf["model"])
-        else:
-            self.prov_model.setCurrentText("")
-        self.prov_status.setText("")
-
-    def _current_conf(self, provider: str) -> dict:
-        if provider == self._prov_current_key:
-            return {"base_url": self.prov_base.text().strip(), "api_key": self.prov_key.text(),
-                    "model": self.prov_model.currentText().strip()}
-        conf = self._prov_staging.get(provider, {})
-        return {"base_url": conf.get("base_url", ""), "api_key": conf.get("api_key", ""),
-                "model": conf.get("model", "")}
-
-    # ---- MS365 zero-config sign-in ("connect like Claude") ---------------
-    def _refresh_ms365_status(self) -> None:
-        from ..core.ms365_auth import current_identity
-        who = current_identity(self.ctx.config)
-        if who:
-            self.ms365_status.setText(tr("settings.ms365_signed_in", who=who))
-            self.ms365_signin_btn.setEnabled(False)
-            self.ms365_signout_btn.setEnabled(True)
-        else:
-            self.ms365_status.setText(tr("settings.ms365_signed_out"))
-            self.ms365_signin_btn.setEnabled(True)
-            self.ms365_signout_btn.setEnabled(False)
-        self.ms365_signin_btn.setText(tr("settings.ms365_signin_btn"))
-        self.ms365_signout_btn.setText(tr("settings.ms365_signout_btn"))
-
-    def _ms365_sign_in(self) -> None:
-        from ..core.ms365_auth import current_identity, sign_in
-        self.ms365_signin_btn.setEnabled(False)
-        self.ms365_status.setText(tr("settings.ms365_signing_in"))
-        cfg = self.ctx.config
-
-        def job(worker):
-            # on_code fires (worker thread) with the MSAL device-flow dict —
-            # marshal it to the UI thread via the worker's event signal.
-            return sign_in(lambda flow: worker.event.emit({"device_flow": flow}), cfg)
-
-        def on_event(ev: dict) -> None:
-            if "device_flow" in ev:
-                self._show_ms365_device_code(ev["device_flow"])
-
-        def done(_result) -> None:
-            self._close_ms365_code_dialog()
-            self.ctx.save()
-            self._refresh_ms365_status()
-            QMessageBox.information(
-                self, tr("settings.ms365_signin_btn"),
-                tr("settings.ms365_signed_in", who=current_identity(cfg)))
-
-        def failed(err: str) -> None:
-            self._close_ms365_code_dialog()
-            self._refresh_ms365_status()
-            QMessageBox.warning(self, tr("settings.ms365_signin_btn"), err)
-
-        w = AgentWorker(job)
-        w.event.connect(on_event)
-        w.finished_ok.connect(done)
-        w.failed.connect(failed)
-        self._ms365_workers.append(w)
-        w.start()
-
-    def _close_ms365_code_dialog(self) -> None:
-        dlg = getattr(self, "_ms365_code_dialog", None)
-        if dlg is not None:
-            dlg.close()
-            self._ms365_code_dialog = None
-
-    def _show_ms365_device_code(self, flow: dict) -> None:
-        """Auto-open the sign-in page + show the one-time code in a COPYABLE,
-        non-modal dialog (so the worker keeps polling and can auto-close it on
-        success). The code is also copied to the clipboard immediately."""
-        import webbrowser
-
-        code = flow.get("user_code", "")
-        url = flow.get("verification_uri", "https://microsoft.com/devicelogin")
-        # Auto-copy the code so the user can just paste it.
-        QGuiApplication.clipboard().setText(code)
-        # Auto-open the browser to the (code-prefilled, if available) sign-in page.
-        try:
-            webbrowser.open(flow.get("verification_uri_complete") or url)
-        except Exception:  # noqa: BLE001 — a headless box just shows the link to click
-            pass
-
-        self._close_ms365_code_dialog()
-        dlg = QDialog(self)
-        dlg.setWindowTitle(tr("settings.ms365_signin_btn"))
-        dlg.setMinimumWidth(420)
-        lay = QVBoxLayout(dlg)
-        info = QLabel(tr("settings.ms365_code_hint", url=url))
-        info.setWordWrap(True)
-        info.setTextInteractionFlags(Qt.TextSelectableByMouse | Qt.TextBrowserInteraction)
-        info.setOpenExternalLinks(True)
-        lay.addWidget(info)
-
-        code_row = QHBoxLayout()
-        code_edit = QLineEdit(code)
-        code_edit.setReadOnly(True)
-        f = code_edit.font()
-        f.setPointSize(f.pointSize() + 4)
-        f.setBold(True)
-        code_edit.setFont(f)
-        code_edit.setCursorPosition(0)
-        copy_btn = QPushButton(tr("settings.ms365_copy_code"))
-        copy_btn.setIcon(icon("document"))
-        copy_btn.clicked.connect(lambda: QGuiApplication.clipboard().setText(code))
-        open_btn = QPushButton(tr("settings.ms365_open_link"))
-        open_btn.setIcon(icon("link"))
-        open_btn.clicked.connect(lambda: webbrowser.open(flow.get("verification_uri_complete") or url))
-        code_row.addWidget(code_edit, 1)
-        code_row.addWidget(copy_btn)
-        code_row.addWidget(open_btn)
-        lay.addLayout(code_row)
-
-        buttons = QDialogButtonBox(QDialogButtonBox.Close)
-        buttons.rejected.connect(dlg.reject)
-        lay.addWidget(buttons)
-
-        self._ms365_code_dialog = dlg
-        dlg.show()   # non-modal — sign-in polling continues; done() closes it
-
-    def _ms365_sign_out(self) -> None:
-        from ..core.ms365_auth import sign_out_default
-        sign_out_default(self.ctx.config)
-        self._refresh_ms365_status()
-
-    def _load_models(self, provider: str, combo: QComboBox, status: QLabel) -> None:
-        conf = self._current_conf(provider)
-
-        def job(worker):
-            from ..providers import build_provider
-            prov = build_provider(provider, conf)
-            models = prov.list_models()
-            return {"models": models, "error": getattr(prov, "last_error", "")}
-
-        def done(result):
-            models = result.get("models") or []
-            current = combo.currentText().strip()
-            combo.clear()
-            if current:
-                combo.addItem(current)
-            for m in models:
-                if m != current:
-                    combo.addItem(m)
-            combo.setCurrentText(current)
-            error = result.get("error", "")
-            if models:
-                status.setText(tr("settings.loaded_models", n=len(models),
-                    provider=PROVIDER_LABELS.get(provider, provider)))
-            else:
-                status.setText(tr("settings.load_models_error", err=error or
-                                  tr("settings.load_models_error_unknown")))
-
-        w = AgentWorker(job)
-        w.finished_ok.connect(done)
-        w.failed.connect(lambda e: status.setText(tr("settings.load_failed", err=e)))
-        self._load_workers.append(w)
-        status.setText(tr("settings.loading_models"))
-        w.start()
-
-    def _test_connection(self, provider: str, status: QLabel) -> None:
-        conf = self._current_conf(provider)
-
-        def job(worker):
-            from ..providers import build_provider
-            ok, message = build_provider(provider, conf).test_connection()
-            return {"ok": ok, "message": message}
-
-        def done(result):
-            ok = result.get("ok")
-            status.setText(result.get("message", ""))
-            status.setStyleSheet("color: #090;" if ok else "color: #c00;")
-
-        def failed(e):
-            status.setText(str(e))
-            status.setStyleSheet("color: #c00;")
-
-        w = AgentWorker(job)
-        w.finished_ok.connect(done)
-        w.failed.connect(failed)
-        self._load_workers.append(w)
-        status.setText(tr("settings.testing_connection"))
-        w.start()
-
-    def _sandbox_unlock(self) -> None:
-        pw = self.sandbox_pw_edit.text()
-        if pw and pw == self._sandbox_pw:
-            self._sandbox_unlocked = True
-            self.sandbox_locked_status.setText("Unlocked")
-            self.sandbox_locked_status.set_icon("unlock", "#090")
-            self.sandbox_locked_status.text_label().setStyleSheet("color: #090; font-weight: bold;")
-            # Enable all sandbox widgets
-            for w in self._sandbox_widgets:
-                w.setEnabled(True)
-            QMessageBox.information(self, "Sandbox Security", "Sandbox settings unlocked.")
-        else:
-            QMessageBox.warning(self, "Wrong Password", "Password incorrect. Sandbox settings remain locked.")
-
-    def _save(self) -> None:
-        data = self.ctx.config.data
-        data["active_provider"] = self.provider_combo.currentData()
-        data["language"] = self.language_combo.currentData()
-
-        self._stash_provider_fields()
-        for key, staged in self._prov_staging.items():
-            data["providers"].setdefault(key, {}).update({
-                "base_url": staged.get("base_url", ""),
-                "api_key": staged.get("api_key", ""),
-                "model": staged.get("model", ""),
-            })
-
-        # NOTE: allow_url_fetch is managed in Monitoring → Tools → Tool now
-        # (persisted there directly), so it is intentionally not written here.
-        data.setdefault("agent_security", {}).update({
-            "enabled": self.sec_enabled.isChecked(),
-            "cowork_confirm_commands": self.sandbox_confirm.isChecked(),
-            "block_network": self.sandbox_block_network.isChecked(),
-            "command_ai_check": self.ai_check.isChecked(),
-            "command_whitelist": [],
-            "resource_limit_cpu_percent": self.sandbox_cpu.value(),
-            "resource_limit_memory_mb": self.sandbox_memory.value(),
-            "resource_limit_disk_mb": self.sandbox_disk.value(),
-        })
-        att = data.setdefault("attachments", {})
-        att["max_tokens"] = self.attach_tokens.value() * 1000
-        att["max_files"] = self.attach_files.value()
-        st = data.setdefault("structure", {})
-        st["max_nodes"] = self.struct_nodes.value()
-        st["max_edges"] = self.struct_edges.value()
-        tray = data.setdefault("tray", {})
-        tray["minimize_on_close"] = self.tray_chk.isChecked()
-        tray["notify_on_done"] = self.notify_chk.isChecked()
-
-        r = data.setdefault("routing", {})
-        r["switch_mode"] = self.routing_mode.currentData()
-        r["policy"] = self.routing_policy.currentData()
-        r["min_score_gain"] = self.routing_min_gain.value() / 100.0
-        r["confirm_timeout_sec"] = self.routing_timeout.value()
-        r["reassess_interval_hours"] = self.routing_interval.value()
-        r["per_provider_concurrency"] = self.routing_concurrency.value()
-        r["judge_model"] = self.routing_judge.text().strip()
-
-        self.ctx.save()
-
-        # Force-reload config so all parts of the app pick up the new settings immediately
-        self.ctx.config._data = None  # invalidate cache
-        self.ctx.config._agent_security = None
-
-        self.accept()
+"""Settings dialog: AI provider, Sandbox, the unified Connectors (MCP) group
+(CAD / CAE / MS365 / Other — MCP servers + REST connectors in one place),
+and the merged "Parameter" group (Cowork / Attachments / GraphRAG caps)."""
+from __future__ import annotations
+
+from typing import Dict
+
+from PySide6.QtCore import Qt
+from PySide6.QtGui import QGuiApplication
+from PySide6.QtWidgets import (
+    QCheckBox, QComboBox, QDialog, QDialogButtonBox, QFileDialog, QFormLayout,
+    QGroupBox, QHBoxLayout, QLabel, QLineEdit, QListWidget, QListWidgetItem,
+    QMessageBox, QPushButton, QScrollArea, QSizePolicy, QSpinBox, QTreeWidget,
+    QTreeWidgetItem, QVBoxLayout, QWidget,
+)
+
+from ..config import PROVIDER_LABELS
+from ..core.ext_connectors import CATEGORIES as EXT_CATEGORIES
+from ..core.worker import AgentWorker
+from ..i18n import LANGUAGES, tr
+from ..state import AppContext
+from .icons import icon, IconLabel
+from .widgets import SegmentedControl, ToggleSwitch
+from .ext_connector_dialog import ExtConnectorEditDialog
+
+
+class SettingsDialog(QDialog):
+    def __init__(self, ctx, parent=None):
+        super().__init__()
+        self.ctx = ctx
+        self.setWindowTitle(tr("settings.title"))
+        self.setMinimumWidth(560)
+        self.setWindowFlags(
+            self.windowFlags()
+            | Qt.WindowMinimizeButtonHint
+            | Qt.WindowMaximizeButtonHint
+        )
+        self.setSizeGripEnabled(True)
+        # Group boxes are styled app-wide (see theme._TEMPLATE); this dialog
+        # used to re-declare them and drifted out of sync with the rest.
+        data = ctx.config.data
+
+        outer = QVBoxLayout(self)
+        scroll = QScrollArea()
+        scroll.setWidgetResizable(True)
+        # Never sideways: the content must fit the width it is given and scroll
+        # only downwards. Anything too wide has to shrink (see _model_combo and
+        # _with_load), not push a second scrollbar onto the user.
+        scroll.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
+        self._content = QWidget()
+        root = QVBoxLayout(self._content)
+
+        # --- language + tray ---
+        top = QFormLayout()
+        self.language_combo = SegmentedControl()
+        for key, label in LANGUAGES.items():
+            self.language_combo.addItem(label, key)
+        self._select_combo(self.language_combo, ctx.config.language)
+        top.addRow(tr("settings.language"), self.language_combo)
+
+        # Theme belongs with the other per-account settings. It is also on the
+        # rail's account row (one click for the common flip); this is the same
+        # value, named and explained, for people who come looking in Settings.
+        self.theme_combo = SegmentedControl()
+        for key in ("system", "dark", "light"):
+            self.theme_combo.addItem(tr(f"settings.theme_{key}"), key)
+        self._select_combo(self.theme_combo, getattr(ctx.config, "theme", "system"))
+        top.addRow(tr("settings.theme"), self.theme_combo)
+
+        self.tray_chk = ToggleSwitch(tr("settings.tray_keep"))
+        self.tray_chk.setChecked(bool(data.get("tray", {}).get("minimize_on_close", True)))
+        top.addRow("", self.tray_chk)
+        self.notify_chk = ToggleSwitch(tr("settings.tray_notify"))
+        self.notify_chk.setChecked(bool(data.get("tray", {}).get("notify_on_done", True)))
+        top.addRow("", self.notify_chk)
+        # Zero-height anchor so the index can scroll to this section, which is a
+        # bare form rather than a group box.
+        self._anchor_general = QWidget()
+        self._anchor_general.setFixedHeight(0)
+        root.addWidget(self._anchor_general)
+        root.addLayout(top)
+
+        self._load_workers = []
+
+        # --- AI Provider ---
+        self._prov_staging: Dict[str, dict] = {
+            key: dict(conf) for key, conf in data["providers"].items()
+        }
+        self.provider_combo = QComboBox()
+        for key, label in PROVIDER_LABELS.items():
+            self.provider_combo.addItem(label, key)
+        self._select_combo(self.provider_combo, ctx.config.active_provider)
+        self._prov_current_key = self.provider_combo.currentData()
+
+        conf = self._prov_staging.get(self._prov_current_key, {})
+        self.prov_base = QLineEdit(conf.get("base_url", ""))
+        self.prov_key = self._secret(conf.get("api_key", ""))
+        self.prov_model = self._model_combo(conf.get("model", ""))
+        self.prov_status = QLabel("")
+        self.prov_status.setObjectName("hint")
+        self.prov_status.setWordWrap(True)
+        prov_group = self._group(tr("settings.group.provider"), [
+            (tr("settings.active_provider"), self.provider_combo),
+            (tr("settings.base_url"), self.prov_base),
+            (tr("settings.api_key"), self.prov_key),
+            (tr("settings.model"), self._with_load(self.prov_model, self.prov_status)),
+        ])
+        prov_group.layout().addRow("", self.prov_status)
+        self.provider_combo.currentIndexChanged.connect(self._on_provider_edit_changed)
+        root.addWidget(prov_group)
+
+        # --- Sandbox Security Layer ---
+        sec = ctx.config.agent_security
+        self.sandbox_group = QGroupBox(tr("settings.group.sandbox"))
+        sbl = QVBoxLayout(self.sandbox_group)
+
+        # --- Password protection for Sandbox Security (at top) ---
+        self.sandbox_pw_label = IconLabel("lock", "Sandbox Security Password")
+        sbl.addWidget(self.sandbox_pw_label)
+
+        pw_row = QHBoxLayout()
+        self.sandbox_pw_edit = QLineEdit("")
+        self.sandbox_pw_edit.setPlaceholderText("Enter password to edit sandbox settings")
+        self.sandbox_pw_edit.setEchoMode(QLineEdit.Password)
+        pw_row.addWidget(self.sandbox_pw_edit, 1)
+        self.sandbox_unlock_btn = QPushButton("Unlock")
+        self.sandbox_unlock_btn.clicked.connect(self._sandbox_unlock)
+        pw_row.addWidget(self.sandbox_unlock_btn)
+        self.sandbox_locked_status = IconLabel("lock", "Locked (changes disabled)", color="#c00")
+        self.sandbox_locked_status.text_label().setStyleSheet("color: #c00; font-weight: bold;")
+        pw_row.addWidget(self.sandbox_locked_status)
+        sbl.addLayout(pw_row)
+        self._sandbox_unlocked = False  # Start LOCKED — must enter password first
+        self._sandbox_pw = sec.get("sandbox_pw", "quandh14")
+
+        # Separator line between pw section and sandbox settings
+        pw_sep = QLabel("────────────────")
+        sbl.addWidget(pw_sep)
+
+        self.sandbox_confirm = ToggleSwitch(tr("settings.sandbox_confirm_commands"))
+        self.sandbox_confirm.setChecked(bool(sec.get("cowork_confirm_commands", False)))
+        self.sandbox_confirm.setToolTip(tr("settings.sandbox_confirm_commands_tooltip"))
+        sbl.addWidget(self.sandbox_confirm)
+
+        self.sandbox_block_network = ToggleSwitch(tr("settings.sandbox_block_network"))
+        self.sandbox_block_network.setChecked(bool(sec.get("block_network", True)))
+        self.sandbox_block_network.setToolTip(tr("settings.sandbox_block_network_tooltip"))
+        sbl.addWidget(self.sandbox_block_network)
+
+        # "Allow the agent to fetch URLs" + the live "Test Internet" self-test
+        # moved to Monitoring → Tools → Tool (they govern a tool capability, so
+        # they belong with the other tool toggles — see ToolsAdminTab).
+
+        # --- Enable/Disable Agent Security ---
+        self.sec_enabled = ToggleSwitch("Enable Agent Security (command validation)")
+        self.sec_enabled.setChecked(bool(sec.get("enabled", True)))
+        self.sec_enabled.setToolTip("Bật/tắt toàn bộ Agent Security")
+        sbl.addWidget(self.sec_enabled)
+
+        # --- AI Command Check toggle ---
+        self.ai_check = ToggleSwitch("AI check commands")
+        self.ai_check.setChecked(bool(sec.get("command_ai_check", False)))
+        self.ai_check.setToolTip("Cho AI control-agent xét lệnh trước khi chạy")
+        sbl.addWidget(self.ai_check)
+
+        # Resource limits (CPU/Memory/Disk I/O) moved to the Parameter group
+        # below — see _param_section("settings.group.sandbox_limits").
+
+        # Collect all sandbox-editable widgets and lock them until unlocked
+        self._sandbox_widgets = [
+            self.sandbox_confirm, self.sandbox_block_network,
+            self.ai_check, self.sec_enabled,
+        ]
+        for _w in self._sandbox_widgets:
+            _w.setEnabled(False)
+
+        root.addWidget(self.sandbox_group)
+
+        # Connectors (MCP / REST API) are managed entirely in Monitoring → Tools
+        # → Connector now — no connector UI in Settings. (_ms365_workers is kept
+        # for the dead-but-retained MS365 OAuth sign-in handlers below.)
+        self._ms365_workers = []
+
+        # --- Parameter ---
+        param_group = QGroupBox(tr("settings.group.parameter"))
+        pgl = QFormLayout(param_group)
+
+        def _param_section(key: str) -> None:
+            lbl = QLabel(tr(key))
+            lbl.setStyleSheet("font-weight:600; margin-top:6px;")
+            pgl.addRow(lbl)
+
+        # Parallel-conversation limit removed — conversations and flows now run
+        # unlimited in parallel (no cap, no Settings row).
+        att = data.get("attachments", {})
+        _param_section("settings.group.attachments")
+        self.attach_files = QSpinBox()
+        self.attach_files.setRange(1, 50)
+        self.attach_files.setSuffix(tr("settings.max_files_suffix"))
+        self.attach_files.setValue(max(1, int(att.get("max_files", 20))))
+        self.attach_files.setToolTip(tr("settings.max_files_tooltip"))
+        self.attach_tokens = QSpinBox()
+        self.attach_tokens.setRange(1, 1000)
+        self.attach_tokens.setSingleStep(5)
+        self.attach_tokens.setSuffix(tr("settings.max_per_file_suffix"))
+        self.attach_tokens.setValue(max(1, int(att.get("max_tokens", 500000)) // 1000))
+        self.attach_tokens.setToolTip(tr("settings.max_per_file_tooltip"))
+        pgl.addRow(tr("settings.max_files"), self.attach_files)
+        pgl.addRow(tr("settings.max_per_file"), self.attach_tokens)
+
+        st = data.get("structure", {})
+        _param_section("settings.group.structure")
+        self.struct_nodes = QSpinBox()
+        self.struct_nodes.setRange(0, 100000)
+        self.struct_nodes.setSpecialValueText(tr("settings.unlimited"))
+        self.struct_nodes.setSuffix(tr("settings.nodes_suffix"))
+        self.struct_nodes.setValue(max(0, int(st.get("max_nodes", 500))))
+        self.struct_nodes.setToolTip(tr("settings.nodes_tooltip"))
+        self.struct_edges = QSpinBox()
+        self.struct_edges.setRange(0, 200000)
+        self.struct_edges.setSpecialValueText(tr("settings.unlimited"))
+        self.struct_edges.setSuffix(tr("settings.edges_suffix"))
+        self.struct_edges.setValue(max(0, int(st.get("max_edges", 500))))
+        self.struct_edges.setToolTip(tr("settings.edges_tooltip"))
+        pgl.addRow(tr("settings.max_nodes"), self.struct_nodes)
+        pgl.addRow(tr("settings.max_edges"), self.struct_edges)
+
+        # Sandbox resource limits (CPU / Memory / Disk I/O) — moved here from
+        # the Sandbox Security group; still stored under agent_security.*.
+        _param_section("settings.group.sandbox_limits")
+        self.sandbox_cpu = QSpinBox()
+        self.sandbox_cpu.setRange(0, 100_000)
+        self.sandbox_cpu.setSuffix(" %")
+        self.sandbox_cpu.setSpecialValueText(tr("settings.sandbox_unlimited"))
+        self.sandbox_cpu.setValue(int(sec.get("resource_limit_cpu_percent", 0) or 0))
+        pgl.addRow(tr("settings.sandbox_cpu_label"), self.sandbox_cpu)
+
+        self.sandbox_memory = QSpinBox()
+        self.sandbox_memory.setRange(0, 1_000_000)
+        self.sandbox_memory.setSuffix(" MB")
+        self.sandbox_memory.setSpecialValueText(tr("settings.sandbox_unlimited"))
+        self.sandbox_memory.setValue(int(sec.get("resource_limit_memory_mb", 2048) or 2048))
+        pgl.addRow(tr("settings.sandbox_memory_label"), self.sandbox_memory)
+
+        self.sandbox_disk = QSpinBox()
+        self.sandbox_disk.setRange(0, 1_000_000)
+        self.sandbox_disk.setSuffix(" MB")
+        self.sandbox_disk.setSpecialValueText(tr("settings.sandbox_unlimited"))
+        self.sandbox_disk.setValue(int(sec.get("resource_limit_disk_mb", 2048) or 2048))
+        pgl.addRow(tr("settings.sandbox_disk_label"), self.sandbox_disk)
+
+        root.addWidget(param_group)
+
+        # ---- Auto Model Routing ------------------------------------------
+        routing = self.ctx.config.routing
+        routing_group = QGroupBox(tr("routing.settings_group"))
+        rgl = QFormLayout(routing_group)
+
+        self.routing_mode = QComboBox()
+        for value, key in (("off", "routing.mode_off"), ("auto", "routing.mode_auto"),
+                           ("manual", "routing.mode_manual")):
+            self.routing_mode.addItem(tr(key), value)
+        self._select_combo(self.routing_mode, routing.get("switch_mode", "off"))
+        rgl.addRow(tr("routing.settings_mode"), self.routing_mode)
+
+        self.routing_policy = QComboBox()
+        for value, key in (("quality", "routing.policy_quality"), ("cost", "routing.policy_cost"),
+                           ("latency", "routing.policy_latency"), ("balanced", "routing.policy_balanced")):
+            self.routing_policy.addItem(tr(key), value)
+        self._select_combo(self.routing_policy, routing.get("policy", "balanced"))
+        rgl.addRow(tr("routing.settings_policy"), self.routing_policy)
+
+        # Min score gain stored as a fraction (0..1); shown as a percentage.
+        self.routing_min_gain = QSpinBox()
+        self.routing_min_gain.setRange(0, 100)
+        self.routing_min_gain.setSuffix(" %")
+        self.routing_min_gain.setValue(int(round(float(routing.get("min_score_gain", 0.05)) * 100)))
+        rgl.addRow(tr("routing.settings_min_gain"), self.routing_min_gain)
+
+        self.routing_timeout = QSpinBox()
+        self.routing_timeout.setRange(5, 600)
+        self.routing_timeout.setSuffix(" s")
+        self.routing_timeout.setValue(int(routing.get("confirm_timeout_sec", 60) or 60))
+        rgl.addRow(tr("routing.settings_timeout"), self.routing_timeout)
+
+        self.routing_interval = QSpinBox()
+        self.routing_interval.setRange(0, 720)
+        self.routing_interval.setSpecialValueText(tr("routing.mode_off"))  # 0 = disabled
+        self.routing_interval.setSuffix(" h")
+        self.routing_interval.setValue(int(routing.get("reassess_interval_hours", 24) or 0))
+        rgl.addRow(tr("routing.settings_interval"), self.routing_interval)
+
+        self.routing_concurrency = QSpinBox()
+        self.routing_concurrency.setRange(1, 16)
+        self.routing_concurrency.setValue(int(routing.get("per_provider_concurrency", 2) or 2))
+        rgl.addRow(tr("routing.settings_concurrency"), self.routing_concurrency)
+
+        self.routing_judge = QLineEdit(routing.get("judge_model", ""))
+        rgl.addRow(tr("routing.settings_judge"), self.routing_judge)
+
+        self.routing_reassess_btn = QPushButton(tr("routing.settings_reassess_now"))
+        self.routing_reassess_btn.clicked.connect(self._routing_reassess_now)
+        rgl.addRow("", self.routing_reassess_btn)
+
+        rhint = QLabel(tr("routing.settings_hint"))
+        rhint.setObjectName("hint")
+        rhint.setWordWrap(True)
+        rgl.addRow(rhint)
+        root.addWidget(routing_group)
+
+        note = QLabel(tr("settings.tip"))
+        note.setObjectName("hint")
+        note.setWordWrap(True)      # otherwise this one line sets the dialog's width
+        root.addWidget(note)
+
+        # Left list + right panel: one group on screen at a time, the way the
+        # audit page's mock-up shows it. The five rows are the five real group
+        # boxes, so "which group am I in, how many left" is answerable at a
+        # glance instead of by scrolling to find out.
+        from .widgets import section_panels
+
+        self._general_box = QWidget()
+        gv = QVBoxLayout(self._general_box)
+        gv.setContentsMargins(0, 0, 0, 0)
+        root.removeWidget(self._anchor_general)
+        root.removeItem(top)
+        gv.addLayout(top)
+        gv.addWidget(note)          # the tip belongs with the general settings
+        gv.addStretch(1)
+        root.removeWidget(note)
+
+        pages = []
+        for label, widget in ((tr("settings.group.general"), self._general_box),
+                              (tr("settings.group.provider"), prov_group),
+                              (tr("settings.group.sandbox"), self.sandbox_group),
+                              (tr("settings.group.parameter"), param_group),
+                              (tr("routing.settings_group"), routing_group)):
+            root.removeWidget(widget)
+            page = QWidget()
+            pv = QVBoxLayout(page)
+            pv.setContentsMargins(4, 4, 4, 4)
+            pv.addWidget(widget)
+            pv.addStretch(1)
+            wrap = QScrollArea()
+            wrap.setWidgetResizable(True)
+            wrap.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
+            wrap.setWidget(page)
+            pages.append((label, wrap))
+        self.section_list, self.section_stack = section_panels(pages)
+        scroll.setParent(None)
+        body = QHBoxLayout()
+        body.setSpacing(10)
+        body.addWidget(self.section_list)
+        body.addWidget(self.section_stack, 1)
+        outer.addLayout(body, 1)
+        self._content = self._general_box       # kept for other callers
+        # Floor the dialog at the width its WIDEST page needs, at the current
+        # font. On a 125%/150% display everything is wider, and without this the
+        # form was simply cut off instead of the window refusing to get smaller.
+        widest = max(w.widget().sizeHint().width() for _lab, w in pages)
+        self.setMinimumWidth(self.section_list.width() + widest + 60)
+
+        buttons = QDialogButtonBox(QDialogButtonBox.Save | QDialogButtonBox.Cancel)
+        buttons.accepted.connect(self._save)
+        buttons.rejected.connect(self.reject)
+        outer.addWidget(buttons)
+
+        from .widgets import guard_wheel
+        guard_wheel(self)
+
+        screen = QGuiApplication.primaryScreen()
+        if screen:
+            avail = screen.availableGeometry()
+            self.resize(640, min(740, avail.height() - 80))
+            self.setMaximumHeight(avail.height())
+
+    # ---- helpers -----------------------------------------------------
+    @staticmethod
+    def _secret(value: str) -> QLineEdit:
+        edit = QLineEdit(value)
+        edit.setEchoMode(QLineEdit.Password)
+        return edit
+
+    @staticmethod
+    def _select_combo(combo: QComboBox, value: str) -> None:
+        idx = combo.findData(value)
+        if idx >= 0:
+            combo.setCurrentIndex(idx)
+
+    @staticmethod
+    def _group(title: str, rows) -> QGroupBox:
+        box = QGroupBox(title)
+        form = QFormLayout(box)
+        for label, widget in rows:
+            form.addRow(label, widget)
+        return box
+
+    def _routing_reassess_now(self) -> None:
+        """Kick off a manual model reassessment in the background."""
+        try:
+            service = self.ctx.routing()
+            if service.is_reassessing():
+                return
+            self.routing_reassess_btn.setEnabled(False)
+            self.routing_reassess_btn.setText(tr("routing.reassessing"))
+
+            def _done(result) -> None:
+                # Re-enable from the (worker) callback; label reflects the count.
+                self.routing_reassess_btn.setEnabled(True)
+                self.routing_reassess_btn.setText(
+                    tr("routing.reassess_done", count=len(result or {})))
+
+            service.reassess_background(on_done=_done)
+        except Exception:  # noqa: BLE001 — a reassess click must never crash Settings
+            self.routing_reassess_btn.setEnabled(True)
+            self.routing_reassess_btn.setText(tr("routing.settings_reassess_now"))
+
+    @staticmethod
+    def _model_combo(value: str) -> QComboBox:
+        combo = QComboBox()
+        combo.setEditable(True)
+        # A combo sizes itself to its longest entry by default; model ids are
+        # long, so the row grew past the dialog and forced a sideways scrollbar
+        # (worse at 125%/150% display scaling). Let it shrink and use a popup
+        # wider than the closed box instead.
+        combo.setSizeAdjustPolicy(QComboBox.AdjustToMinimumContentsLengthWithIcon)
+        combo.setMinimumContentsLength(8)
+        combo.setSizePolicy(QSizePolicy.Ignored, QSizePolicy.Fixed)
+        if value:
+            combo.addItem(value)
+            combo.setCurrentText(value)
+        return combo
+
+    def _with_load(self, combo: QComboBox, status: QLabel) -> QWidget:
+        row = QWidget()
+        lay = QHBoxLayout(row)
+        lay.setContentsMargins(0, 0, 0, 0)
+        lay.addWidget(combo, 1)
+        btn = QPushButton(tr("settings.load"))
+        btn.setIcon(icon("download"))
+        btn.setToolTip(tr("settings.load_tooltip"))
+        btn.clicked.connect(
+            lambda: self._load_models(self.provider_combo.currentData(), combo, status))
+        lay.addWidget(btn)
+        test_btn = QPushButton(tr("settings.test_connection"))
+        test_btn.setIcon(icon("flask"))
+        test_btn.setToolTip(tr("settings.test_connection_tooltip"))
+        test_btn.clicked.connect(
+            lambda: self._test_connection(self.provider_combo.currentData(), status))
+        lay.addWidget(test_btn)
+        # The two buttons keep their natural size; the combo gives way. Without
+        # this the row's minimum was combo + both buttons and nothing could
+        # shrink, so the dialog scrolled sideways instead.
+        for b in (btn, test_btn):
+            b.setSizePolicy(QSizePolicy.Fixed, QSizePolicy.Fixed)
+        row.setSizePolicy(QSizePolicy.Ignored, QSizePolicy.Fixed)
+        return row
+
+    def _stash_provider_fields(self) -> None:
+        staged = self._prov_staging.setdefault(self._prov_current_key, {})
+        staged.update({
+            "base_url": self.prov_base.text().strip(),
+            "api_key": self.prov_key.text(),
+            "model": self.prov_model.currentText().strip(),
+        })
+
+    def _on_provider_edit_changed(self) -> None:
+        self._stash_provider_fields()
+        self._prov_current_key = self.provider_combo.currentData()
+        conf = self._prov_staging.get(self._prov_current_key, {})
+        self.prov_base.setText(conf.get("base_url", ""))
+        self.prov_key.setText(conf.get("api_key", ""))
+        self.prov_model.clear()
+        if conf.get("model"):
+            self.prov_model.addItem(conf["model"])
+            self.prov_model.setCurrentText(conf["model"])
+        else:
+            self.prov_model.setCurrentText("")
+        self.prov_status.setText("")
+
+    def _current_conf(self, provider: str) -> dict:
+        if provider == self._prov_current_key:
+            return {"base_url": self.prov_base.text().strip(), "api_key": self.prov_key.text(),
+                    "model": self.prov_model.currentText().strip()}
+        conf = self._prov_staging.get(provider, {})
+        return {"base_url": conf.get("base_url", ""), "api_key": conf.get("api_key", ""),
+                "model": conf.get("model", "")}
+
+    # ---- MS365 zero-config sign-in ("connect like Claude") ---------------
+    def _refresh_ms365_status(self) -> None:
+        from ..core.ms365_auth import current_identity
+        who = current_identity(self.ctx.config)
+        if who:
+            self.ms365_status.setText(tr("settings.ms365_signed_in", who=who))
+            self.ms365_signin_btn.setEnabled(False)
+            self.ms365_signout_btn.setEnabled(True)
+        else:
+            self.ms365_status.setText(tr("settings.ms365_signed_out"))
+            self.ms365_signin_btn.setEnabled(True)
+            self.ms365_signout_btn.setEnabled(False)
+        self.ms365_signin_btn.setText(tr("settings.ms365_signin_btn"))
+        self.ms365_signout_btn.setText(tr("settings.ms365_signout_btn"))
+
+    def _ms365_sign_in(self) -> None:
+        from ..core.ms365_auth import current_identity, sign_in
+        self.ms365_signin_btn.setEnabled(False)
+        self.ms365_status.setText(tr("settings.ms365_signing_in"))
+        cfg = self.ctx.config
+
+        def job(worker):
+            # on_code fires (worker thread) with the MSAL device-flow dict —
+            # marshal it to the UI thread via the worker's event signal.
+            return sign_in(lambda flow: worker.event.emit({"device_flow": flow}), cfg)
+
+        def on_event(ev: dict) -> None:
+            if "device_flow" in ev:
+                self._show_ms365_device_code(ev["device_flow"])
+
+        def done(_result) -> None:
+            self._close_ms365_code_dialog()
+            self.ctx.save()
+            self._refresh_ms365_status()
+            QMessageBox.information(
+                self, tr("settings.ms365_signin_btn"),
+                tr("settings.ms365_signed_in", who=current_identity(cfg)))
+
+        def failed(err: str) -> None:
+            self._close_ms365_code_dialog()
+            self._refresh_ms365_status()
+            QMessageBox.warning(self, tr("settings.ms365_signin_btn"), err)
+
+        w = AgentWorker(job)
+        w.event.connect(on_event)
+        w.finished_ok.connect(done)
+        w.failed.connect(failed)
+        self._ms365_workers.append(w)
+        w.start()
+
+    def _close_ms365_code_dialog(self) -> None:
+        dlg = getattr(self, "_ms365_code_dialog", None)
+        if dlg is not None:
+            dlg.close()
+            self._ms365_code_dialog = None
+
+    def _show_ms365_device_code(self, flow: dict) -> None:
+        """Auto-open the sign-in page + show the one-time code in a COPYABLE,
+        non-modal dialog (so the worker keeps polling and can auto-close it on
+        success). The code is also copied to the clipboard immediately."""
+        import webbrowser
+
+        code = flow.get("user_code", "")
+        url = flow.get("verification_uri", "https://microsoft.com/devicelogin")
+        # Auto-copy the code so the user can just paste it.
+        QGuiApplication.clipboard().setText(code)
+        # Auto-open the browser to the (code-prefilled, if available) sign-in page.
+        try:
+            webbrowser.open(flow.get("verification_uri_complete") or url)
+        except Exception:  # noqa: BLE001 — a headless box just shows the link to click
+            pass
+
+        self._close_ms365_code_dialog()
+        dlg = QDialog(self)
+        dlg.setWindowTitle(tr("settings.ms365_signin_btn"))
+        dlg.setMinimumWidth(420)
+        lay = QVBoxLayout(dlg)
+        info = QLabel(tr("settings.ms365_code_hint", url=url))
+        info.setWordWrap(True)
+        info.setTextInteractionFlags(Qt.TextSelectableByMouse | Qt.TextBrowserInteraction)
+        info.setOpenExternalLinks(True)
+        lay.addWidget(info)
+
+        code_row = QHBoxLayout()
+        code_edit = QLineEdit(code)
+        code_edit.setReadOnly(True)
+        f = code_edit.font()
+        f.setPointSize(f.pointSize() + 4)
+        f.setBold(True)
+        code_edit.setFont(f)
+        code_edit.setCursorPosition(0)
+        copy_btn = QPushButton(tr("settings.ms365_copy_code"))
+        copy_btn.setIcon(icon("document"))
+        copy_btn.clicked.connect(lambda: QGuiApplication.clipboard().setText(code))
+        open_btn = QPushButton(tr("settings.ms365_open_link"))
+        open_btn.setIcon(icon("link"))
+        open_btn.clicked.connect(lambda: webbrowser.open(flow.get("verification_uri_complete") or url))
+        code_row.addWidget(code_edit, 1)
+        code_row.addWidget(copy_btn)
+        code_row.addWidget(open_btn)
+        lay.addLayout(code_row)
+
+        buttons = QDialogButtonBox(QDialogButtonBox.Close)
+        buttons.rejected.connect(dlg.reject)
+        lay.addWidget(buttons)
+
+        self._ms365_code_dialog = dlg
+        dlg.show()   # non-modal — sign-in polling continues; done() closes it
+
+    def _ms365_sign_out(self) -> None:
+        from ..core.ms365_auth import sign_out_default
+        sign_out_default(self.ctx.config)
+        self._refresh_ms365_status()
+
+    def _load_models(self, provider: str, combo: QComboBox, status: QLabel) -> None:
+        conf = self._current_conf(provider)
+
+        def job(worker):
+            from ..providers import build_provider
+            prov = build_provider(provider, conf)
+            models = prov.list_models()
+            return {"models": models, "error": getattr(prov, "last_error", "")}
+
+        def done(result):
+            models = result.get("models") or []
+            current = combo.currentText().strip()
+            combo.clear()
+            if current:
+                combo.addItem(current)
+            for m in models:
+                if m != current:
+                    combo.addItem(m)
+            combo.setCurrentText(current)
+            error = result.get("error", "")
+            if models:
+                status.setText(tr("settings.loaded_models", n=len(models),
+                    provider=PROVIDER_LABELS.get(provider, provider)))
+            else:
+                status.setText(tr("settings.load_models_error", err=error or
+                                  tr("settings.load_models_error_unknown")))
+
+        w = AgentWorker(job)
+        w.finished_ok.connect(done)
+        w.failed.connect(lambda e: status.setText(tr("settings.load_failed", err=e)))
+        self._load_workers.append(w)
+        status.setText(tr("settings.loading_models"))
+        w.start()
+
+    def _test_connection(self, provider: str, status: QLabel) -> None:
+        conf = self._current_conf(provider)
+
+        def job(worker):
+            from ..providers import build_provider
+            ok, message = build_provider(provider, conf).test_connection()
+            return {"ok": ok, "message": message}
+
+        def done(result):
+            ok = result.get("ok")
+            status.setText(result.get("message", ""))
+            status.setStyleSheet("color: #090;" if ok else "color: #c00;")
+
+        def failed(e):
+            status.setText(str(e))
+            status.setStyleSheet("color: #c00;")
+
+        w = AgentWorker(job)
+        w.finished_ok.connect(done)
+        w.failed.connect(failed)
+        self._load_workers.append(w)
+        status.setText(tr("settings.testing_connection"))
+        w.start()
+
+    def _sandbox_unlock(self) -> None:
+        pw = self.sandbox_pw_edit.text()
+        if pw == self._sandbox_pw:
+            self._sandbox_unlocked = True
+            self.sandbox_locked_status.setText("Unlocked")
+            self.sandbox_locked_status.set_icon("unlock", "#090")
+            self.sandbox_locked_status.text_label().setStyleSheet("color: #090; font-weight: bold;")
+            # Enable all sandbox widgets
+            for w in self._sandbox_widgets:
+                w.setEnabled(True)
+            QMessageBox.information(self, "Sandbox Security", "Sandbox settings unlocked.")
+        else:
+            QMessageBox.warning(self, "Wrong Password", "Password incorrect. Sandbox settings remain locked.")
+
+    def _save(self) -> None:
+        data = self.ctx.config.data
+        data["active_provider"] = self.provider_combo.currentData()
+        data["language"] = self.language_combo.currentData()
+        # MainWindow._open_settings re-applies the theme after this returns, so
+        # writing the value here is enough to make it take effect.
+        data["theme"] = self.theme_combo.currentData()
+
+        self._stash_provider_fields()
+        for key, staged in self._prov_staging.items():
+            data["providers"].setdefault(key, {}).update({
+                "base_url": staged.get("base_url", ""),
+                "api_key": staged.get("api_key", ""),
+                "model": staged.get("model", ""),
+            })
+
+        # NOTE: allow_url_fetch is managed in Monitoring → Tools → Tool now
+        # (persisted there directly), so it is intentionally not written here.
+        data.setdefault("agent_security", {}).update({
+            "enabled": self.sec_enabled.isChecked(),
+            "cowork_confirm_commands": self.sandbox_confirm.isChecked(),
+            "block_network": self.sandbox_block_network.isChecked(),
+            "command_ai_check": self.ai_check.isChecked(),
+            "command_whitelist": [],
+            "resource_limit_cpu_percent": self.sandbox_cpu.value(),
+            "resource_limit_memory_mb": self.sandbox_memory.value(),
+            "resource_limit_disk_mb": self.sandbox_disk.value(),
+        })
+        att = data.setdefault("attachments", {})
+        att["max_tokens"] = self.attach_tokens.value() * 1000
+        att["max_files"] = self.attach_files.value()
+        st = data.setdefault("structure", {})
+        st["max_nodes"] = self.struct_nodes.value()
+        st["max_edges"] = self.struct_edges.value()
+        tray = data.setdefault("tray", {})
+        tray["minimize_on_close"] = self.tray_chk.isChecked()
+        tray["notify_on_done"] = self.notify_chk.isChecked()
+
+        r = data.setdefault("routing", {})
+        r["switch_mode"] = self.routing_mode.currentData()
+        r["policy"] = self.routing_policy.currentData()
+        r["min_score_gain"] = self.routing_min_gain.value() / 100.0
+        r["confirm_timeout_sec"] = self.routing_timeout.value()
+        r["reassess_interval_hours"] = self.routing_interval.value()
+        r["per_provider_concurrency"] = self.routing_concurrency.value()
+        r["judge_model"] = self.routing_judge.text().strip()
+
+        self.ctx.save()
+
+        # Force-reload config so all parts of the app pick up the new settings immediately
+        self.ctx.config._data = None  # invalidate cache
+        self.ctx.config._agent_security = None
+
+        self.accept()
\ No newline at end of file
diff --git a/ui/sidebar.py b/ui/sidebar.py
index eabe062..4c04f72 100644
--- a/ui/sidebar.py
+++ b/ui/sidebar.py
@@ -164,6 +164,9 @@ class HistorySidebar(QWidget):
         self._refresh_btn.setToolTip(tr("sidebar.refresh_tooltip"))
         self.refresh()   # re-render group headers / running suffix in the new language
 
+    def is_collapsed(self) -> bool:
+        return self._strip.isVisible()
+
     def set_collapsed(self, collapsed: bool) -> None:
         """Collapse to a thin line (kept visible) or restore the full panel."""
         self._content.setVisible(not collapsed)
diff --git a/ui/spline_chart.py b/ui/spline_chart.py
index 60e6d8e..6f0ce4a 100644
--- a/ui/spline_chart.py
+++ b/ui/spline_chart.py
@@ -13,7 +13,7 @@ from PySide6.QtCore import QPointF, Qt
 from PySide6.QtGui import QBrush, QColor, QLinearGradient, QPainter, QPainterPath, QPen
 from PySide6.QtWidgets import QWidget
 
-from ..theme import ACCENT
+from ..theme import current_palette
 
 
 def _endpoint_label_rect(point_x: float, point_y: float, text_width: float,
@@ -75,17 +75,13 @@ class SplineChart(QWidget):
         self._refs = list(refs or [])
         self.update()
 
-    def _dark(self) -> bool:
-        from .chat_view import _app_theme
-        return _app_theme() == "dark"
-
     def paintEvent(self, _e):  # noqa: N802
         p = QPainter(self)
         p.setRenderHint(QPainter.Antialiasing)
-        dark = self._dark()
-        grid = QColor("#1A2D4A" if dark else "#C7DEEE")
-        text = QColor("#8FB2D4" if dark else "#5C7A94")
-        accent = QColor(ACCENT)
+        tok = current_palette()
+        grid = QColor(tok.chart_grid)
+        text = QColor(tok.chart_label)
+        accent = QColor(tok.accent)
         w, h = self.width(), self.height()
 
         pts = self._points
diff --git a/ui/structure_graph_view.py b/ui/structure_graph_view.py
index d361134..b195bf0 100644
--- a/ui/structure_graph_view.py
+++ b/ui/structure_graph_view.py
@@ -1,993 +1,1034 @@
-"""Structure (RAG) tab — knowledge graph of code / document structure.
-
-Primary view is the D3 knowledge-graph (WebEngine) which gently auto-rotates
-when idle and opens a node's storage folder on click. If WebEngine isn't
-available (e.g. the standalone .exe), a native draggable QGraphicsView is the
-in-app fallback. The graph auto-updates when the Code agent produces output,
-and an Agent box on the right answers questions over the graph (Graph-RAG).
-"""
-from __future__ import annotations
-
-import math
-import re
-import sys
-from pathlib import Path
-
-from PySide6.QtCore import QObject, QPointF, Qt, QTimer, QUrl, Signal, Slot
-from PySide6.QtGui import QBrush, QColor, QFont, QPen
-from PySide6.QtWidgets import (
-    QComboBox, QFileDialog, QGraphicsEllipseItem, QGraphicsLineItem,
-    QGraphicsScene, QGraphicsSimpleTextItem, QGraphicsView, QHBoxLayout,
-    QLabel, QLineEdit, QPushButton, QSplitter, QStackedWidget,
-    QTextBrowser, QVBoxLayout, QWidget,
-)
-
-def _frozen_onefile() -> bool:
-    """True only for a PyInstaller ONEFILE build. Onefile extracts itself to a
-    temp dir (sys._MEIPASS under %TEMP%), where the QtWebEngine helper process
-    can't run — creating a QWebEngineView hard-crashes the app (reported as
-    "click the graph tab → app closes"). A ONEDIR build keeps _MEIPASS as the
-    ``_internal`` folder right next to the exe, where WebEngine works fine, so
-    it keeps the full embedded D3 view."""
-    if not getattr(sys, "frozen", False):
-        return False
-    meipass = getattr(sys, "_MEIPASS", "")
-    if not meipass:
-        return False
-    try:
-        return Path(meipass).resolve().parent != Path(sys.executable).resolve().parent
-    except OSError:  # can't tell → play safe: use the native fallback
-        return True
-
-
-try:  # WebEngine + WebChannel are optional PySide6 add-ons
-    from PySide6.QtWebEngineWidgets import QWebEngineView
-    from PySide6.QtWebChannel import QWebChannel
-    _HAS_WEB = not _frozen_onefile()
-except Exception:  # pragma: no cover
-    _HAS_WEB = False
-
-from ..core.structure_graph import EDGE_KIND_COLORS, NODE_KIND_COLORS
-from ..core.worker import AgentWorker
-from ..i18n import on_language_changed, tr
-from ..state import AppContext
-from .icons import collapse_right_icon, icon
-from .osutil import open_folder, open_location
-from .widgets import CollapseStrip
-
-try:
-    from PySide6.QtWidgets import QGraphicsItem  # noqa: F401 — ensure available
-except Exception:
-    pass
-
-
-class _Bridge(QObject):
-    """Exposed to the D3 page so a Shift+click on a node can open its
-    storage folder/link (local path or URL — see osutil.open_location)."""
-
-    @Slot(str)
-    def openPath(self, path: str) -> None:  # noqa: N802 - JS-facing name
-        if path:
-            open_location(path)
-
-
-class _Edge(QGraphicsLineItem):
-    def __init__(self, a: "_Node", b: "_Node", type_: str = ""):
-        super().__init__()
-        self.a, self.b = a, b
-        self.type = type_
-        # Colour the edge by its RELATIONSHIP type (contains/defines/method/…),
-        # so the graph shows what each connection MEANS — falling back to the
-        # source node's tint for any untyped edge.
-        color = QColor(EDGE_KIND_COLORS.get(type_, "")) if type_ else QColor()
-        if not color.isValid():
-            color = a.brush().color().lighter(130)
-        self._color = color
-        self.setPen(QPen(color, 1.4))
-        self.setZValue(-1)
-        # A small label naming the relationship, shown at the edge midpoint.
-        self._label = None
-        if type_:
-            self._label = QGraphicsSimpleTextItem(type_, self)
-            self._label.setBrush(QBrush(color.lighter(140)))
-            f = QFont()
-            f.setPointSize(7)
-            self._label.setFont(f)
-            self._label.setZValue(0)
-        a.edges.append(self)
-        b.edges.append(self)
-        self.adjust()
-
-    def adjust(self) -> None:
-        pa, pb = self.a.scenePos(), self.b.scenePos()
-        self.setLine(pa.x(), pa.y(), pb.x(), pb.y())
-        if self._label is not None:
-            br = self._label.boundingRect()
-            self._label.setPos((pa.x() + pb.x()) / 2 - br.width() / 2,
-                                (pa.y() + pb.y()) / 2 - br.height() / 2)
-
-
-class _Node(QGraphicsEllipseItem):
-    def __init__(self, data, radius: int):
-        super().__init__(-radius, -radius, 2 * radius, 2 * radius)
-        self.data = data
-        self.edges = []
-        color = QColor(NODE_KIND_COLORS.get(data.kind, "#888888"))
-        self.setBrush(QBrush(color))
-        self.setPen(QPen(color.darker(160), 1.5))
-        self.setFlags(
-            QGraphicsEllipseItem.ItemIsMovable
-            | QGraphicsEllipseItem.ItemIsSelectable
-            | QGraphicsEllipseItem.ItemSendsGeometryChanges
-        )
-        self.setZValue(1)
-        label = QGraphicsSimpleTextItem(data.label, self)
-        label.setBrush(QBrush(QColor("#e6e6e6")))
-        label.setPos(radius + 3, -8)
-
-    def itemChange(self, change, value):  # noqa: N802
-        if change == QGraphicsEllipseItem.ItemPositionHasChanged:
-            for edge in self.edges:
-                edge.adjust()
-        return super().itemChange(change, value)
-
-
-class _GraphView(QGraphicsView):
-    def __init__(self, scene):
-        super().__init__(scene)
-        self.setDragMode(QGraphicsView.NoDrag)
-        self._panning = False
-        self._pan_start = QPointF()
-
-    def wheelEvent(self, e):  # noqa: N802
-        self.scale(1.15 if e.angleDelta().y() > 0 else 1 / 1.15,
-                   1.15 if e.angleDelta().y() > 0 else 1 / 1.15)
-
-    def mousePressEvent(self, e):  # noqa: N802
-        if e.button() == Qt.LeftButton and self.itemAt(e.pos()) is None:
-            self._panning = True
-            self._pan_start = e.position()
-            self.setCursor(Qt.ClosedHandCursor)
-            e.accept()
-            return
-        super().mousePressEvent(e)
-
-    def mouseMoveEvent(self, e):  # noqa: N802
-        if self._panning:
-            delta = e.position() - self._pan_start
-            self._pan_start = e.position()
-            self.horizontalScrollBar().setValue(int(self.horizontalScrollBar().value() - delta.x()))
-            self.verticalScrollBar().setValue(int(self.verticalScrollBar().value() - delta.y()))
-            e.accept()
-            return
-        super().mouseMoveEvent(e)
-
-    def mouseReleaseEvent(self, e):  # noqa: N802
-        if self._panning:
-            self._panning = False
-            self.setCursor(Qt.ArrowCursor)
-            e.accept()
-            return
-        super().mouseReleaseEvent(e)
-
-    def mouseDoubleClickEvent(self, e):  # noqa: N802
-        """Double-click or Ctrl+click on a node opens its storage folder."""
-        item = self.itemAt(e.pos())
-        if isinstance(item, _Node) and getattr(item.data, "path", ""):
-            open_folder(item.data.path)
-            e.accept()
-            return
-        super().mouseDoubleClickEvent(e)
-
-
-class StructureGraphView(QWidget):
-    status_message = Signal(str)
-
-    def __init__(self, ctx: AppContext):
-        super().__init__()
-        self.ctx = ctx
-        self._worker: AgentWorker | None = None
-        self._node_items: list[_Node] = []
-        self._edge_items: list[_Edge] = []
-        self._centroid = QPointF(0, 0)
-        self._link = 120
-        self._graph = None
-        self._needs_scan = False
-        self._scan_seq = 0   # only the latest scan's result is rendered (no stale overwrite)
-        self._ask_worker: AgentWorker | None = None
-        self._answer = ""
-        self._detail_mode = "idle"   # "answer" | "node" | "idle" — what self.detail shows
-        # TEMPORARY extracted file content for Q&A (real content, not just the
-        # graph structure). Kept only while this tab is shown — cleared on leaving
-        # the tab or switching project/root (see _clear_extracts / hideEvent).
-        self._extract_cache: dict = {}          # path -> extracted text
-        self._extract_dir = None                # temp folder for md/json dumps
-        self._active_project_id = ""  # "" = free path; set = scan locked to that project's sandbox
-
-        self._rescan_timer = QTimer(self)
-        self._rescan_timer.setSingleShot(True)
-        self._rescan_timer.setInterval(1500)
-        self._rescan_timer.timeout.connect(self._scan)
-
-        root = QVBoxLayout(self)
-
-        bar = QHBoxLayout()
-        self.path_edit = QLineEdit(str(ctx.config.cowork_output_dir()))
-        self.path_edit.setPlaceholderText(tr("structure.path_placeholder"))
-        self._pick_btn = QPushButton()
-        self._pick_btn.setIcon(icon("folder"))
-        self._pick_btn.setObjectName("primary")
-        self._pick_btn.clicked.connect(self._pick)
-        self.project_combo = QComboBox()
-        self.project_combo.currentIndexChanged.connect(self._on_project_changed)
-        self._scan_btn = QPushButton()
-        self._scan_btn.setIcon(icon("search"))
-        self._scan_btn.setObjectName("primary")
-        self._scan_btn.clicked.connect(self._scan)
-        bar.addWidget(self.path_edit, 1)
-        bar.addWidget(self._pick_btn)
-        bar.addWidget(self.project_combo)
-        bar.addWidget(self._scan_btn)
-        root.addLayout(bar)
-        self._refresh_project_combo()
-
-        # Toolbar: messages toggle + export
-        bar2 = QHBoxLayout()
-        bar2.addStretch(1)
-        self._msgs_toggle_btn = QPushButton()
-        self._msgs_toggle_btn.setIcon(icon("message"))
-        self._msgs_toggle_btn.setToolTip(tr("structure.msgs_tooltip"))
-        self._msgs_toggle_btn.clicked.connect(self._toggle_messages)
-        bar2.addWidget(self._msgs_toggle_btn)
-
-        self._export_btn = QPushButton()
-        self._export_btn.setIcon(icon("upload"))
-        self._export_btn.setObjectName("primary")
-        self._export_btn.clicked.connect(self._export)
-        bar2.addWidget(self._export_btn)
-
-        root.addLayout(bar2)
-
-        split = QSplitter(Qt.Horizontal)
-        self.scene = QGraphicsScene()
-        self.scene.setBackgroundBrush(QColor("#0D1F35"))  # deep ocean dark bg
-        self.scene.selectionChanged.connect(self._on_selection)
-        self.view = _GraphView(self.scene)
-
-        self._stack = QStackedWidget()
-        self._stack.addWidget(self.view)
-        # A "Messages" view: all conversation messages grouped BY DAY, shown as
-        # JSON — a plain tree switched in via setCurrentWidget (never touches the
-        # D3/WebEngine graph). Populated from the (project-scoped) history store.
-        from PySide6.QtWidgets import QTreeWidget
-        self._msgs_view = QTreeWidget()
-        self._msgs_view.setHeaderHidden(True)
-        self._msgs_view.itemClicked.connect(self._show_msg_json)
-        self._stack.addWidget(self._msgs_view)
-        self.web = None
-        self._bridge = None
-        self._channel = None
-
-        # The legend + Show-relationship control live INSIDE the D3 graph
-        # template now (assets/graph_template.html) — the graph column is just
-        # the stack (native view / D3 web / messages).
-        split.addWidget(self._stack)
-
-        # Right-side agent panel (GraphRAG Q&A)
-        right = QWidget()
-        rl = QVBoxLayout(right)
-        rl.setContentsMargins(0, 0, 0, 0)
-
-        # Agent panel header with collapse button
-        ag_hdr = QHBoxLayout()
-        self._ag_collapse = QPushButton()
-        self._ag_collapse.setIcon(collapse_right_icon())
-        self._ag_collapse.setFixedWidth(28)
-        self._ag_collapse.clicked.connect(lambda: self._set_agent_collapsed(True))
-        self._ag_label = QLabel()
-        ag_hdr.addWidget(self._ag_collapse)
-        ag_hdr.addWidget(self._ag_label, 1)
-        rl.addLayout(ag_hdr)
-
-        # Ask row
-        ask_row = QHBoxLayout()
-        self.ask_edit = QLineEdit()
-        self.ask_edit.returnPressed.connect(self._ask)
-        self._ask_btn = QPushButton()
-        self._ask_btn.setIcon(icon("chat"))
-        self._ask_btn.setObjectName("primary")
-        self._ask_btn.clicked.connect(self._ask)
-        ask_row.addWidget(self.ask_edit, 1)
-        ask_row.addWidget(self._ask_btn)
-        rl.addLayout(ask_row)
-
-        # Detail browser
-        self.detail = QTextBrowser()
-        self.detail.setReadOnly(True)
-        self.detail.setOpenLinks(False)
-        self.detail.anchorClicked.connect(self._on_detail_link)
-        rl.addWidget(self.detail, 1)
-
-        self._agent_panel = right
-
-        self._agent_strip = CollapseStrip(tr("structure.expand_agent_tooltip"), expand_dir="left")
-        self._agent_strip.clicked.connect(lambda: self._set_agent_collapsed(False))
-        self._agent_strip.setVisible(False)
-        self._agent_pane = QWidget()
-        apl = QHBoxLayout(self._agent_pane)
-        apl.setContentsMargins(0, 0, 0, 0)
-        apl.setSpacing(0)
-        apl.addWidget(self._agent_strip)
-        apl.addWidget(right, 1)
-
-        self._split = split
-        split.addWidget(self._agent_pane)
-        split.setChildrenCollapsible(False)
-        split.setSizes([840, 320])
-        root.addWidget(split, 1)
-        on_language_changed(self._retranslate)
-
-    def _retranslate(self) -> None:
-        self.path_edit.setPlaceholderText(tr("structure.path_placeholder"))
-        self._pick_btn.setText(tr("structure.browse"))
-        self._scan_btn.setText(tr("structure.scan"))
-        self._export_btn.setText(tr("structure.export_png"))
-        showing = self._stack.currentWidget() is getattr(self, "_msgs_view", None)
-        self._msgs_toggle_btn.setText(tr("structure.graph_btn") if showing else tr("structure.msgs_btn"))
-        self._ag_collapse.setToolTip(tr("structure.collapse_agent_tooltip"))
-        self._ag_label.setText(tr("structure.agent_header"))
-        self.ask_edit.setPlaceholderText(tr("structure.ask_placeholder"))
-        self._ask_btn.setText(tr("structure.ask"))
-        if self._detail_mode == "idle":
-            self.detail.setPlaceholderText(tr("structure.detail_placeholder"))
-        self._agent_strip.setToolTip(tr("structure.expand_agent_tooltip"))
-        self.project_combo.setToolTip(tr("structure.project_tooltip"))
-        self._refresh_project_combo()
-
-    # ---- project sandbox lock -----------------------------------------
-    def _refresh_project_combo(self) -> None:
-        from ..core.projects import list_projects
-
-        keep = self._active_project_id
-        self.project_combo.blockSignals(True)
-        self.project_combo.clear()
-        self.project_combo.addItem(tr("structure.project_none"), "")
-        row_to_select = 0
-        for i, p in enumerate(list_projects(), start=1):
-            self.project_combo.addItem(p.name, p.project_id)
-            if p.project_id == keep:
-                row_to_select = i
-        self.project_combo.setCurrentIndex(row_to_select)
-        self.project_combo.blockSignals(False)
-
-    def set_project(self, project_id: str) -> None:
-        pid = project_id or ""
-        self._refresh_project_combo()
-        target = self.project_combo.findData(pid)
-        if target < 0:
-            target = 0
-        if self.project_combo.currentIndex() == target:
-            self._on_project_changed(target)
-        else:
-            self.project_combo.setCurrentIndex(target)
-
-    def _on_project_changed(self, _idx: int) -> None:
-        from ..core.projects import load_project
-
-        pid = self.project_combo.currentData() or ""
-        project_changed = pid != self._active_project_id
-        if project_changed:
-            self._clear_extracts()      # different workspace → drop temp extraction
-        self._active_project_id = pid
-        locked = bool(pid)
-        self.path_edit.setReadOnly(locked)
-        # Also disable the folder-pick button — otherwise the scan path is only
-        # "locked" against typing, but the picker could still repoint it outside
-        # the selected project's sandbox, breaking GraphRAG scope isolation.
-        self._pick_btn.setEnabled(not locked)
-        if locked:
-            project = load_project(pid)
-            if project is not None:
-                self.path_edit.setText(str(project.workspace_dir()))
-        if project_changed:
-            self._needs_scan = True
-            if self.web is not None:
-                self._needs_scan = False
-                self._scan()
-
-    # ---- helpers -----------------------------------------------------
-    def _pick(self) -> None:
-        chosen = QFileDialog.getExistingDirectory(self, tr("structure.pick_folder_title"), self.path_edit.text())
-        if chosen:
-            self.path_edit.setText(chosen)
-
-    def schedule_rescan(self, path: str = "") -> None:
-        if self._graph is None:
-            self._needs_scan = True
-            return
-        self._rescan_timer.start()
-
-    # ---- Messages (by day, as JSON) --------------------------------------
-    def _toggle_messages(self) -> None:
-        """Switch between the knowledge graph and the Messages-by-day view."""
-        showing = self._stack.currentWidget() is self._msgs_view
-        if showing:
-            self._stack.setCurrentWidget(self.web if self.web is not None else self.view)
-        else:
-            self._reload_messages()
-            self._stack.setCurrentWidget(self._msgs_view)
-        self._msgs_toggle_btn.setText(
-            tr("structure.graph_btn") if not showing else tr("structure.msgs_btn"))
-
-    def _reload_messages(self) -> None:
-        """Build the tree: day → conversation. Click a conversation to see its
-        messages as JSON. Scoped to the current project (its history folder)."""
-        from collections import OrderedDict
-
-        from PySide6.QtCore import Qt
-        from PySide6.QtWidgets import QTreeWidgetItem
-
-        from ..core.history import list_conversations
-        self._msgs_view.clear()
-        pid = self._active_project_id or ""
-        by_day: "OrderedDict[str, list]" = OrderedDict()
-        try:
-            convs = list_conversations(self.ctx.config.history_dir())
-        except Exception:  # noqa: BLE001
-            convs = []
-        for conv in convs:
-            if pid and conv.get("project_id", "default") != pid:
-                continue
-            day = (conv.get("created") or "")[:10] or "—"
-            by_day.setdefault(day, []).append(conv)
-        if not by_day:
-            self._msgs_view.addTopLevelItem(QTreeWidgetItem([tr("structure.msgs_none")]))
-            return
-        for day in sorted(by_day, reverse=True):
-            convs_d = by_day[day]
-            day_item = QTreeWidgetItem([f"{day}   ({len(convs_d)})"])
-            for conv in convs_d:
-                it = QTreeWidgetItem([conv.get("title", "(untitled)")])
-                it.setData(0, Qt.UserRole, str(conv.get("path", "")))
-                day_item.addChild(it)
-            self._msgs_view.addTopLevelItem(day_item)
-            day_item.setExpanded(True)
-
-    def _show_msg_json(self, item, _col: int = 0) -> None:
-        import html
-        import json
-
-        from PySide6.QtCore import Qt
-
-        from ..core.history import load_conversation
-        path = item.data(0, Qt.UserRole)
-        if not path:
-            return
-        try:
-            conv = load_conversation(path)
-            payload = {"title": conv.get("title", ""), "created": conv.get("created", ""),
-                       "kind": conv.get("kind", ""), "project_id": conv.get("project_id", ""),
-                       "messages": conv.get("messages", [])}
-            text = json.dumps(payload, ensure_ascii=False, indent=2)
-        except Exception as exc:  # noqa: BLE001
-            text = f"(could not read: {exc})"
-        self.detail.setHtml(
-            f'<pre style="white-space:pre-wrap; font-family:Consolas,monospace; '
-            f'font-size:12px;">{html.escape(text)}</pre>')
-
-    def _ensure_web(self) -> None:
-        if self.web is not None or not _HAS_WEB:
-            return
-        self.web = QWebEngineView()
-        self._bridge = _Bridge()
-        self._channel = QWebChannel()
-        self._channel.registerObject("py", self._bridge)
-        self.web.page().setWebChannel(self._channel)
-        self._stack.addWidget(self.web)
-        self._stack.setCurrentWidget(self.web)
-        if self._graph is not None:
-            self._render_d3()
-
-    def auto_scan_and_fit(self) -> None:
-        self._ensure_web()
-        if not self.path_edit.text().strip():
-            return
-        if getattr(self, "_worker", None) is not None and self._worker.isRunning():
-            self._fit()
-            self._preserve_answer()
-            return
-        if self._graph is not None and not self._needs_scan:
-            self._fit()
-            self._preserve_answer()
-            return
-        self._needs_scan = False
-        self._scan()
-
-    # ---- scan --------------------------------------------------------
-    def _scan(self) -> None:
-        path = self.path_edit.text().strip() or str(Path.cwd())
-        mode = "files"  # default: scan all files (filter removed)
-        use_cmem = bool(self.ctx.config.codebase_memory.get("enabled"))
-        cmem_bin = self.ctx.config.codebase_memory.get("binary_path", "")
-        st = self.ctx.config.structure
-        max_nodes = int(st.get("max_nodes", 500) or 0)
-        max_edges = int(st.get("max_edges", 500) or 0)
-        self._scan_seq += 1
-        seq = self._scan_seq
-        self.status_message.emit(tr("structure.scanning"))
-
-        def job(worker: AgentWorker):
-            from ..core.structure_graph import (
-                build_from_codebase_memory, build_from_directory, force_layout,
-            )
-            if use_cmem:
-                from ..core.codebase_memory import CodebaseMemory
-                mem = CodebaseMemory(cmem_bin)
-                graph = (build_from_codebase_memory(mem, path, mode, max_nodes, max_edges)
-                         if mem.available else build_from_directory(path, mode, max_nodes, max_edges))
-            else:
-                graph = build_from_directory(path, mode, max_nodes, max_edges)
-            pos = force_layout(graph)
-            return {"graph": graph, "pos": pos, "seq": seq}
-
-        w = AgentWorker(job)
-        w.finished_ok.connect(self._render)
-        w.failed.connect(lambda e: self.status_message.emit(tr("structure.scan_error", err=e)))
-        self._worker = w
-        w.start()
-
-    def _render(self, result: dict) -> None:
-        if result.get("seq") is not None and result["seq"] != self._scan_seq:
-            return
-        graph = result.get("graph")
-        pos = result.get("pos", {})
-        if graph is None:
-            return
-        self._graph = graph
-
-        self.scene.clear()
-        self.scene.setBackgroundBrush(QColor("#0D1F35"))  # restore deep ocean bg after clear
-        self._node_items = []
-        self._edge_items = []
-        degree = {n.id: 0 for n in graph.nodes}
-        for e in graph.edges:
-            if e.source in degree:
-                degree[e.source] += 1
-            if e.target in degree:
-                degree[e.target] += 1
-        items = {}
-        sx = sy = 0.0
-        for node in graph.nodes:
-            radius = int(8 + min(20, 2.2 * math.sqrt(degree.get(node.id, 0))))
-            item = _Node(node, radius)
-            x, y = pos.get(node.id, (0, 0))
-            item.setPos(x, y)
-            self.scene.addItem(item)
-            items[node.id] = item
-            self._node_items.append(item)
-            sx += x
-            sy += y
-        for edge in graph.edges:
-            a, b = items.get(edge.source), items.get(edge.target)
-            if a and b:
-                e = _Edge(a, b, getattr(edge, "type", ""))
-                self.scene.addItem(e)
-                self._edge_items.append(e)
-        n = max(1, len(self._node_items))
-        self._centroid = QPointF(sx / n, sy / n)
-        self._fit()
-
-        if self.web is not None:
-            self._render_d3()
-
-        note = tr("structure.truncated_note") if getattr(graph, "truncated", False) else ""
-        self.status_message.emit(tr(
-            "structure.graph_summary", nodes=len(graph.nodes), edges=len(graph.edges), note=note))
-        self._preserve_answer()
-
-    def _render_d3(self) -> None:
-        if self.web is None or self._graph is None:
-            return
-        from ..core.d3_graph import build_html
-        try:
-            self.web.setHtml(build_html(self._graph), QUrl("https://cowork.local/"))
-        except Exception as exc:
-            self.status_message.emit(f"D3 view error: {exc}")
-
-    # ---- native interactions ----------------------------------------
-    def _on_selection(self) -> None:
-        for item in self.scene.selectedItems():
-            if isinstance(item, _Node):
-                d = item.data
-                self.detail.setPlainText(f"[{d.kind.upper()}] {d.label}\n\n{d.detail}")
-                self._detail_mode = "node"
-                return
-
-    def _preserve_answer(self) -> None:
-        if self._detail_mode == "answer" and self._answer.strip():
-            self._render_answer()
-
-    def _set_agent_collapsed(self, collapsed: bool) -> None:
-        strip_w = CollapseStrip.WIDTH + 2
-        self._agent_panel.setVisible(not collapsed)
-        self._agent_strip.setVisible(collapsed)
-        if collapsed:
-            self._agent_pane.setMaximumWidth(strip_w)
-            sizes = self._split.sizes()
-            if len(sizes) == 2:
-                self._split.setSizes([max(1, sum(sizes) - strip_w), strip_w])
-        else:
-            self._agent_pane.setMaximumWidth(16777215)
-            self._split.setSizes([840, 320])
-
-    def _fit(self) -> None:
-        if self.web is not None and self._stack.currentWidget() is self.web:
-            self.web.page().runJavaScript("window.fitGraph && window.fitGraph();")
-            return
-        rect = self.scene.itemsBoundingRect()
-        if not rect.isNull():
-            self.view.fitInView(rect.adjusted(-40, -40, 40, 40), Qt.KeepAspectRatio)
-
-    def _export(self) -> None:
-        path, _ = QFileDialog.getSaveFileName(
-            self, tr("structure.export_title"), "structure-graph.png", "PNG (*.png)")
-        if not path:
-            return
-        showing_d3 = (self.web is not None and self._stack.currentWidget() is self.web)
-        if showing_d3:
-            self._export_d3_png(path)
-        else:
-            self._export_widget_grab(path)
-
-    def _export_d3_png(self, path: str) -> None:
-        def on_result(data_url) -> None:
-            if not isinstance(data_url, str) or "," not in data_url:
-                self._export_widget_grab(path)
-                return
-            import base64
-            try:
-                with open(path, "wb") as f:
-                    f.write(base64.b64decode(data_url.split(",", 1)[1]))
-                self.status_message.emit(tr("structure.export_done", path=path))
-            except (OSError, ValueError) as exc:
-                self.status_message.emit(tr("structure.export_failed", err=str(exc)))
-        self.web.page().runJavaScript("window.exportPng ? window.exportPng() : ''", on_result)
-
-    def _export_widget_grab(self, path: str) -> None:
-        ok = self._stack.currentWidget().grab().save(path, "PNG")
-        if ok:
-            self.status_message.emit(tr("structure.export_done", path=path))
-        else:
-            self.status_message.emit(tr("structure.export_failed", err="grab() returned no image"))
-
-    # ---- agent Q&A over the graph -----------------------------------
-    @staticmethod
-    def _graph_context(graph) -> str:
-        from collections import defaultdict
-        by_kind = defaultdict(list)
-        for n in graph.nodes:
-            by_kind[n.kind].append(n.label)
-        lines = []
-        for kind in ("file", "class", "function", "method", "module", "section"):
-            items = by_kind.get(kind, [])
-            if items:
-                lines.append(f"{kind} ({len(items)}): " + ", ".join(items[:60]))
-        id2label = {n.id: n.label for n in graph.nodes}
-        rels = [f"{id2label.get(e.source, e.source)} -{e.type}-> {id2label.get(e.target, e.target)}"
-                for e in graph.edges[:140]]
-        if rels:
-            lines.append("Relationships (sample):\n" + "\n".join(rels))
-        return "\n".join(lines)[:7000]
-
-    def _matched_sources(self, text: str):
-        if self._graph is None or not text:
-            return []
-        found: dict[str, tuple[str, str, str]] = {}
-        for n in self._graph.nodes:
-            if not n.path:
-                continue
-            label = n.label.rstrip("()")
-            if len(label) < 3:
-                continue
-            if n.path not in found and re.search(rf"\b{re.escape(label)}\b", text):
-                found[n.path] = (n.kind, n.label, n.detail or n.path)
-        return sorted(found.items(), key=lambda kv: kv[1][1].lower())[:12]
-
-    def _linkify_files(self, text: str, sources) -> str:
-        """Turn file/entity NAMES mentioned in the answer into clickable links that
-        open the file — so the user can click a name in the answer to view it."""
-        for path, (kind, label, rel) in sources:
-            href = QUrl.fromLocalFile(path).toString(QUrl.ComponentFormattingOption.FullyEncoded)
-            tokens = []
-            base = Path(path).name
-            if base and len(base) >= 3:
-                tokens.append(base)
-            lab = (label or "").rstrip("()").strip()
-            if lab and lab != base and len(lab) >= 3:
-                tokens.append(lab)
-            for tok in tokens:
-                esc = re.escape(tok)
-                # `tok` (code span) → keep the code style but make it a link
-                text = re.sub(rf"`{esc}`", f"[`{tok}`]({href})", text)
-                # bare tok, not already inside a link / path / code span
-                text = re.sub(rf"(?<![\w`/\\.\]\)]){esc}(?![\w`\]\(])", f"[{tok}]({href})", text)
-        return text
-
-    def _render_answer(self) -> None:
-        text = self._answer
-        sources = self._matched_sources(text)
-        if sources:
-            # 1) Make the file/entity names IN THE ANSWER clickable (open on click).
-            text = self._linkify_files(text, sources)
-            # 2) Append a clickable "Related sources" section listing each file.
-            lines = [text, "", "---", f"**{tr('structure.related_sources')}**"]
-            for path, (kind, label, rel) in sources:
-                href = QUrl.fromLocalFile(path).toString(QUrl.ComponentFormattingOption.FullyEncoded)
-                # kind badge for context (file/function/section/json_key)
-                kind_badge = f" [{kind.upper()}]" if kind not in ("file",) else ""
-                lines.append(f"- **[{label}⧉]({href})**{kind_badge} — `{rel}`")
-            text = "\n".join(lines)
-        self.detail.setMarkdown(text)
-
-    def _on_detail_link(self, url: QUrl) -> None:
-        if url.isLocalFile():
-            p = url.toLocalFile()
-            # Open the FILE itself for viewing (fall back to its folder for a dir).
-            if Path(p).is_file():
-                open_location(p)
-            else:
-                open_folder(p)
-
-    def _ask(self) -> None:
-        question = self.ask_edit.text().strip()
-        if not question:
-            return
-        from ..core.skills import parse_skill_command
-        skill_prefix, question, info = parse_skill_command(question)
-        if info is not None:
-            self.detail.setMarkdown(info)
-            self._detail_mode = "answer"
-            self.ask_edit.clear()
-            return
-        if self._graph is None:
-            self.status_message.emit(tr("structure.scan_first"))
-            return
-        context = self._graph_context(self._graph)
-        # Real file CONTENT to answer from (extracted temporarily in the worker):
-        file_paths = self._candidate_file_paths()
-        extract_cache = dict(self._extract_cache)
-        extract_dir = str(self._extract_tmp_dir())
-        self._answer = ""
-        self._detail_mode = "answer"
-        self.detail.setPlainText("…")
-        self.ask_edit.clear()
-
-        active_project_id = self._active_project_id
-
-        # Collect selected node context for auto-filtering
-        selected_nodes = [item.data for item in self.scene.selectedItems() if isinstance(item, _Node)]
-        selected_context = ""
-        if selected_nodes:
-            node_lines = []
-            for nd in selected_nodes:
-                node_lines.append(f"- {nd.label} (kind: {nd.kind}, path: {getattr(nd, 'path', '')})")
-                if nd.detail:
-                    node_lines.append(f"  detail: {nd.detail}")
-            # Also gather connected nodes
-            connected_ids = set()
-            for nd in selected_nodes:
-                for edge in self._graph.edges:
-                    if edge.source == nd.id:
-                        connected_ids.add(edge.target)
-                    elif edge.target == nd.id:
-                        connected_ids.add(edge.source)
-            connected_nodes = [n for n in self._graph.nodes if n.id in connected_ids]
-            if connected_nodes:
-                node_lines.append("\nConnected nodes:")
-                for cn in connected_nodes:
-                    node_lines.append(f"- {cn.label} (kind: {cn.kind})")
-            selected_context = "\n".join(node_lines)
-
-        def job(worker: AgentWorker):
-            provider = self.ctx.build_active_provider()
-            system = ("You answer questions about a code/document knowledge graph. Use the provided "
-                      "graph context AND the extracted file contents to retrieve, synthesize and "
-                      "explain the answer. Be concise. Answer ONLY from what is provided (graph "
-                      "context + extracted contents) — never invent files, functions, or facts that "
-                      "aren't in it.\n\n"
-                      "EACH answer MUST include source citations so the user can verify where "
-                      "information came from. For every factual claim, file reference, or code "
-                      "element you mention, add a citation using this format:\n\n"
-                      "  [source: filename.ext, line/section: XXX]\n\n"
-                      "Rules for citations:\n"
-                      "  1. Cite the EXACT file path from the graph context (use the path field).\n"
-                      "  2. For Python files: cite the function/class name and approximate line "
-                      "     if available, or the module name.\n"
-                      "  3. For document files (.md, .txt): cite the section heading.\n"
-                      "  4. For JSON files: cite the key path (e.g. settings > database > host).\n"
-                      "  5. Place citations inline after the relevant sentence or fact.\n"
-                      "  6. At the end of your answer, add a '---' separator followed by a "
-                      "     numbered **Sources cited:** section listing each unique source with "
-                      "     its full path so the user can click to open it.\n\n"
-                      "Example citation format in text:\n"
-                      "  The `process_data()` function handles CSV parsing "
-                      "[source: src/utils/parser.py, function: process_data].\n\n"
-                      "Example end-of-answer source list:\n"
-                      "  ---\n"
-                      "  **Sources cited:**\n"
-                      "  1. `src/utils/parser.py` — process_data function\n"
-                      "  2. `docs/api.md` — Section: Authentication\n")
-            if skill_prefix:
-                system += "\n\nFollow this skill:\n" + skill_prefix
-            if active_project_id:
-                from ..core.projects import load_project, project_context_text
-                proj_ctx = project_context_text(load_project(active_project_id))
-                if proj_ctx:
-                    system += "\n\n" + proj_ctx
-            user_content = f"Graph context:\n{context}"
-            if selected_context:
-                user_content += f"\n\nSelected node(s) context (focus your answer on these):\n{selected_context}"
-            # Auto-extract the actual file contents (temporary) so the answer is
-            # synthesized from real content, not just the graph structure.
-            content_block, new_cache = _extract_file_contents(file_paths, extract_cache, extract_dir)
-            if content_block:
-                user_content += ("\n\nExtracted file contents (read these to answer about file "
-                                 "details/data; cite the file path):\n" + content_block)
-            user_content += f"\n\nQuestion: {question}"
-            messages = [
-                {"role": "system", "content": system},
-                {"role": "user", "content": user_content},
-            ]
-            from ..core import agent_roles, audit_log
-            ok = True
-            try:
-                provider.chat(messages, on_text=lambda t: worker.emit_event({"type": "text", "delta": t}),
-                              cancel=worker.is_cancelled)
-            except Exception:
-                ok = False
-                raise
-            finally:
-                audit_log.record("tool_call", "graphrag_ask", ok, question[:500],
-                                 agent_role=agent_roles.KNOWLEDGE)
-            return {"extracted": new_cache}
-
-        w = AgentWorker(job)
-        w.event.connect(self._on_ask_event)
-        w.finished_ok.connect(self._on_ask_done)
-        w.failed.connect(lambda e: self.detail.setPlainText(f"Error: {e}"))
-        self._ask_worker = w
-        w.start()
-
-    def _on_ask_event(self, ev: dict) -> None:
-        if ev.get("type") == "text":
-            if self._answer == "":
-                self.detail.clear()
-            self._answer += ev.get("delta", "")
-            self.detail.setPlainText(self._answer)
-
-    def _on_ask_done(self, result: dict) -> None:
-        # Keep the (temporary) extracted content so repeated questions reuse it
-        # without re-extracting — dropped when leaving the tab (_clear_extracts).
-        if isinstance(result, dict):
-            self._extract_cache.update(result.get("extracted", {}) or {})
-        self._render_answer()
-
-    # ---- temporary file-content extraction for Q&A ------------------------
-    def _candidate_file_paths(self) -> list:
-        """File paths to read for a question: the SELECTED file nodes if any, else
-        every file node in the graph (capped downstream)."""
-        from pathlib import Path as _P
-        if self._graph is None:
-            return []
-        sel = [item.data for item in self.scene.selectedItems() if isinstance(item, _Node)]
-        nodes = sel or list(self._graph.nodes)
-        out, seen = [], set()
-        for nd in nodes:
-            p = (getattr(nd, "path", "") or "").strip()
-            if p and p not in seen and _P(p).is_file():
-                seen.add(p)
-                out.append(p)
-        return out
-
-    def _extract_tmp_dir(self):
-        from pathlib import Path as _P
-        if self._extract_dir is None:
-            import tempfile
-            from ..config import CONFIG_DIR
-            base = CONFIG_DIR / "tmp" / "graphrag_extract"
-            base.mkdir(parents=True, exist_ok=True)
-            self._extract_dir = _P(tempfile.mkdtemp(dir=str(base)))
-        return self._extract_dir
-
-    def _clear_extracts(self) -> None:
-        """Discard the temporary extracted content (on leaving the tab / switching
-        project). The extraction is a scratch aid, never persisted."""
-        self._extract_cache = {}
-        d, self._extract_dir = self._extract_dir, None
-        if d is not None:
-            import shutil
-            shutil.rmtree(d, ignore_errors=True)
-
-    def hideEvent(self, e):  # noqa: N802
-        # Leaving the GraphRAG tab → drop the temporary extracted info.
-        self._clear_extracts()
-        super().hideEvent(e)
-
-
-
-
-
-# --------------------------------------------------------------------------
-# Temporary file-content extraction for Graph-RAG Q&A (runs in the ask worker)
-# --------------------------------------------------------------------------
-def _pdf_to_markdown(pdf_path, out_dir) -> str | None:
-    """Convert a PDF to Markdown with opendataloader-pdf when available (richer
-    structure than a plain text dump). Best-effort — returns None if the package
-    isn't installed or the call fails, so the caller falls back to doc_extract."""
-    from pathlib import Path as _P
-    try:
-        import opendataloader_pdf  # optional; auto-installed elsewhere if present
-    except Exception:  # noqa: BLE001
-        try:
-            from ..core.deps import ensure_module
-            if ensure_module("opendataloader_pdf", "opendataloader-pdf") is None:
-                return None
-            import opendataloader_pdf  # noqa: F811
-        except Exception:  # noqa: BLE001
-            return None
-    out = _P(out_dir)
-    out.mkdir(parents=True, exist_ok=True)
-    for call in (
-        lambda: opendataloader_pdf.convert(input_path=[str(pdf_path)], output_dir=str(out),
-                                           generate_markdown=True),
-        lambda: opendataloader_pdf.convert(input_path=str(pdf_path), output_dir=str(out)),
-        lambda: opendataloader_pdf.convert(str(pdf_path), str(out)),
-    ):
-        try:
-            call()
-            break
-        except TypeError:
-            continue
-        except Exception:  # noqa: BLE001
-            return None
-    mds = list(out.rglob(_P(pdf_path).stem + "*.md")) or list(out.rglob("*.md"))
-    for md in mds:
-        try:
-            return md.read_text(encoding="utf-8", errors="replace")
-        except OSError:
-            continue
-    return None
-
-
-def _extract_file_contents(paths, cache: dict, tmp_dir,
-                           max_files: int = 15, max_total: int = 120_000):
-    """Read the ACTUAL content of ``paths`` (PDF→markdown via opendataloader when
-    available, else doc_extract for office/pdf/text). Returns ``(block, cache)``
-    — ``block`` is the concatenated content for the prompt (bounded), ``cache``
-    maps path→text for reuse. Never raises."""
-    from pathlib import Path as _P
-    from ..core import doc_extract
-    cache = dict(cache or {})
-    parts, total = [], 0
-    for p in paths[:max_files]:
-        if total >= max_total:
-            break
-        text = cache.get(p)
-        if text is None:
-            try:
-                if _P(p).suffix.lower() == ".pdf":
-                    text = _pdf_to_markdown(p, tmp_dir)
-                    if not text:
-                        text, _n = doc_extract.extract_text(p)
-                else:
-                    text, _n = doc_extract.extract_text(p)
-            except Exception:  # noqa: BLE001
-                text = ""
-            cache[p] = text or ""
-        text = cache.get(p) or ""
-        if not text:
-            continue
-        chunk = text[: max(0, max_total - total)]
-        total += len(chunk)
-        parts.append(f'--- {_P(p).name} ({p}) ---\n{chunk}')
-    return ("\n\n".join(parts), cache)
+"""Structure (RAG) tab — knowledge graph of code / document structure.
+
+Primary view is the D3 knowledge-graph (WebEngine) which gently auto-rotates
+when idle and opens a node's storage folder on click. If WebEngine isn't
+available (e.g. the standalone .exe), a native draggable QGraphicsView is the
+in-app fallback. The graph auto-updates when the Code agent produces output,
+and an Agent box on the right answers questions over the graph (Graph-RAG).
+"""
+from __future__ import annotations
+
+import math
+import re
+import sys
+from pathlib import Path
+
+from PySide6.QtCore import QObject, QPointF, Qt, QTimer, QUrl, Signal, Slot
+from PySide6.QtGui import QBrush, QColor, QFont, QPen
+from PySide6.QtWidgets import (
+    QComboBox, QFileDialog, QGraphicsEllipseItem, QGraphicsLineItem,
+    QGraphicsScene, QGraphicsSimpleTextItem, QGraphicsView, QHBoxLayout,
+    QLabel, QLineEdit, QPushButton, QSplitter, QStackedWidget, QTabBar,
+    QTextBrowser, QVBoxLayout, QWidget,
+)
+
+def _frozen_onefile() -> bool:
+    """True only for a PyInstaller ONEFILE build. Onefile extracts itself to a
+    temp dir (sys._MEIPASS under %TEMP%), where the QtWebEngine helper process
+    can't run — creating a QWebEngineView hard-crashes the app (reported as
+    "click the graph tab → app closes"). A ONEDIR build keeps _MEIPASS as the
+    ``_internal`` folder right next to the exe, where WebEngine works fine, so
+    it keeps the full embedded D3 view."""
+    if not getattr(sys, "frozen", False):
+        return False
+    meipass = getattr(sys, "_MEIPASS", "")
+    if not meipass:
+        return False
+    try:
+        return Path(meipass).resolve().parent != Path(sys.executable).resolve().parent
+    except OSError:  # can't tell → play safe: use the native fallback
+        return True
+
+
+try:  # WebEngine + WebChannel are optional PySide6 add-ons
+    from PySide6.QtWebEngineWidgets import QWebEngineView
+    from PySide6.QtWebChannel import QWebChannel
+    _HAS_WEB = not _frozen_onefile()
+except Exception:  # pragma: no cover
+    _HAS_WEB = False
+
+from ..core.structure_graph import EDGE_KIND_COLORS, NODE_KIND_COLORS
+from ..theme import current_palette
+from ..core.worker import AgentWorker
+from ..i18n import on_language_changed, tr
+from ..state import AppContext
+from .icons import collapse_right_icon, icon
+from .osutil import open_folder, open_location
+from .widgets import CollapseStrip
+
+try:
+    from PySide6.QtWidgets import QGraphicsItem  # noqa: F401 — ensure available
+except Exception:
+    pass
+
+
+class _Bridge(QObject):
+    """Exposed to the D3 page so a Shift+click on a node can open its
+    storage folder/link (local path or URL — see osutil.open_location)."""
+
+    @Slot(str)
+    def openPath(self, path: str) -> None:  # noqa: N802 - JS-facing name
+        if path:
+            open_location(path)
+
+
+class _Edge(QGraphicsLineItem):
+    def __init__(self, a: "_Node", b: "_Node", type_: str = ""):
+        super().__init__()
+        self.a, self.b = a, b
+        self.type = type_
+        # Colour the edge by its RELATIONSHIP type (contains/defines/method/…),
+        # so the graph shows what each connection MEANS — falling back to the
+        # source node's tint for any untyped edge.
+        color = QColor(EDGE_KIND_COLORS.get(type_, "")) if type_ else QColor()
+        if not color.isValid():
+            color = a.brush().color().lighter(130)
+        self._color = color
+        self.setPen(QPen(color, 1.4))
+        self.setZValue(-1)
+        # A small label naming the relationship, shown at the edge midpoint.
+        self._label = None
+        if type_:
+            self._label = QGraphicsSimpleTextItem(type_, self)
+            self._label.setBrush(QBrush(color.lighter(140)))
+            f = QFont()
+            f.setPointSize(7)
+            self._label.setFont(f)
+            self._label.setZValue(0)
+        a.edges.append(self)
+        b.edges.append(self)
+        self.adjust()
+
+    def adjust(self) -> None:
+        pa, pb = self.a.scenePos(), self.b.scenePos()
+        self.setLine(pa.x(), pa.y(), pb.x(), pb.y())
+        if self._label is not None:
+            br = self._label.boundingRect()
+            self._label.setPos((pa.x() + pb.x()) / 2 - br.width() / 2,
+                                (pa.y() + pb.y()) / 2 - br.height() / 2)
+
+
+class _Node(QGraphicsEllipseItem):
+    def __init__(self, data, radius: int):
+        super().__init__(-radius, -radius, 2 * radius, 2 * radius)
+        self.data = data
+        self.edges = []
+        tok = current_palette()
+        # NODE_KIND_COLORS is a categorical data encoding (one hue per node
+        # kind), not UI chrome — it stays fixed across themes on purpose so a
+        # given kind is always the same colour. Only the chrome follows tokens.
+        color = QColor(NODE_KIND_COLORS.get(data.kind, tok.text_muted))
+        self.setBrush(QBrush(color))
+        self.setPen(QPen(color.darker(160), 1.5))
+        self.setFlags(
+            QGraphicsEllipseItem.ItemIsMovable
+            | QGraphicsEllipseItem.ItemIsSelectable
+            | QGraphicsEllipseItem.ItemSendsGeometryChanges
+        )
+        self.setZValue(1)
+        label = QGraphicsSimpleTextItem(data.label, self)
+        label.setBrush(QBrush(QColor(tok.text)))
+        label.setPos(radius + 3, -8)
+
+    def itemChange(self, change, value):  # noqa: N802
+        if change == QGraphicsEllipseItem.ItemPositionHasChanged:
+            for edge in self.edges:
+                edge.adjust()
+        return super().itemChange(change, value)
+
+
+class _GraphView(QGraphicsView):
+    def __init__(self, scene):
+        super().__init__(scene)
+        self.setDragMode(QGraphicsView.NoDrag)
+        self._panning = False
+        self._pan_start = QPointF()
+
+    def wheelEvent(self, e):  # noqa: N802
+        self.scale(1.15 if e.angleDelta().y() > 0 else 1 / 1.15,
+                   1.15 if e.angleDelta().y() > 0 else 1 / 1.15)
+
+    def mousePressEvent(self, e):  # noqa: N802
+        if e.button() == Qt.LeftButton and self.itemAt(e.pos()) is None:
+            self._panning = True
+            self._pan_start = e.position()
+            self.setCursor(Qt.ClosedHandCursor)
+            e.accept()
+            return
+        super().mousePressEvent(e)
+
+    def mouseMoveEvent(self, e):  # noqa: N802
+        if self._panning:
+            delta = e.position() - self._pan_start
+            self._pan_start = e.position()
+            self.horizontalScrollBar().setValue(int(self.horizontalScrollBar().value() - delta.x()))
+            self.verticalScrollBar().setValue(int(self.verticalScrollBar().value() - delta.y()))
+            e.accept()
+            return
+        super().mouseMoveEvent(e)
+
+    def mouseReleaseEvent(self, e):  # noqa: N802
+        if self._panning:
+            self._panning = False
+            self.setCursor(Qt.ArrowCursor)
+            e.accept()
+            return
+        super().mouseReleaseEvent(e)
+
+    def mouseDoubleClickEvent(self, e):  # noqa: N802
+        """Double-click or Ctrl+click on a node opens its storage folder."""
+        item = self.itemAt(e.pos())
+        if isinstance(item, _Node) and getattr(item.data, "path", ""):
+            open_folder(item.data.path)
+            e.accept()
+            return
+        super().mouseDoubleClickEvent(e)
+
+
+class StructureGraphView(QWidget):
+    status_message = Signal(str)
+
+    def __init__(self, ctx: AppContext):
+        super().__init__()
+        self.ctx = ctx
+        self._worker: AgentWorker | None = None
+        self._node_items: list[_Node] = []
+        self._edge_items: list[_Edge] = []
+        self._centroid = QPointF(0, 0)
+        self._link = 120
+        self._graph = None
+        self._needs_scan = False
+        self._scan_seq = 0   # only the latest scan's result is rendered (no stale overwrite)
+        self._ask_worker: AgentWorker | None = None
+        self._answer = ""
+        self._detail_mode = "idle"   # "answer" | "node" | "idle" — what self.detail shows
+        # TEMPORARY extracted file content for Q&A (real content, not just the
+        # graph structure). Kept only while this tab is shown — cleared on leaving
+        # the tab or switching project/root (see _clear_extracts / hideEvent).
+        self._extract_cache: dict = {}          # path -> extracted text
+        self._extract_dir = None                # temp folder for md/json dumps
+        self._active_project_id = ""  # "" = free path; set = scan locked to that project's sandbox
+
+        self._rescan_timer = QTimer(self)
+        self._rescan_timer.setSingleShot(True)
+        self._rescan_timer.setInterval(1500)
+        self._rescan_timer.timeout.connect(self._scan)
+
+        root = QVBoxLayout(self)
+
+        bar = QHBoxLayout()
+        self.path_edit = QLineEdit(str(ctx.config.cowork_output_dir()))
+        self.path_edit.setPlaceholderText(tr("structure.path_placeholder"))
+        self._pick_btn = QPushButton()
+        self._pick_btn.setIcon(icon("folder"))
+        self._pick_btn.setObjectName("primary")
+        self._pick_btn.clicked.connect(self._pick)
+        self.project_combo = QComboBox()
+        self.project_combo.currentIndexChanged.connect(self._on_project_changed)
+        self._scan_btn = QPushButton()
+        self._scan_btn.setIcon(icon("search"))
+        self._scan_btn.setObjectName("primary")
+        self._scan_btn.clicked.connect(self._scan)
+        # ONE toolbar row. There used to be a second row holding just the
+        # messages toggle and Export, which cost a whole row of height to carry
+        # two buttons.
+        self._export_btn = QPushButton()
+        self._export_btn.setIcon(icon("upload"))
+        self._export_btn.setObjectName("primary")
+        self._export_btn.clicked.connect(self._export)
+        bar.addWidget(self.path_edit, 1)
+        bar.addWidget(self._pick_btn)
+        bar.addWidget(self.project_combo)
+        bar.addWidget(self._scan_btn)
+        bar.addWidget(self._export_btn)
+        root.addLayout(bar)
+        self._refresh_project_combo()
+
+        # Đồ thị | Tin nhắn as a real pair of tabs: the old single button
+        # relabelled itself, so the view you were NOT looking at was the only
+        # one named on screen.
+        self.view_tabs = QTabBar()
+        self.view_tabs.setObjectName("viewTabs")
+        self.view_tabs.setDrawBase(False)
+        self.view_tabs.setExpanding(False)
+        self.view_tabs.addTab(icon("graph"), "")
+        self.view_tabs.addTab(icon("message"), "")
+        self.view_tabs.currentChanged.connect(self._on_view_tab)
+        tab_row = QHBoxLayout()
+        tab_row.setContentsMargins(0, 0, 0, 0)
+        tab_row.addWidget(self.view_tabs)
+        tab_row.addStretch(1)
+        root.addLayout(tab_row)
+
+        split = QSplitter(Qt.Horizontal)
+        self.scene = QGraphicsScene()
+        self.scene.setBackgroundBrush(QColor(current_palette().bg))
+        self.scene.selectionChanged.connect(self._on_selection)
+        self.view = _GraphView(self.scene)
+
+        self._stack = QStackedWidget()
+        self._stack.addWidget(self.view)
+        # A "Messages" view: all conversation messages grouped BY DAY, shown as
+        # JSON — a plain tree switched in via setCurrentWidget (never touches the
+        # D3/WebEngine graph). Populated from the (project-scoped) history store.
+        from PySide6.QtWidgets import QTreeWidget
+        self._msgs_view = QTreeWidget()
+        self._msgs_view.setHeaderHidden(True)
+        self._msgs_view.itemClicked.connect(self._show_msg_json)
+        self._stack.addWidget(self._msgs_view)
+        self.web = None
+        self._bridge = None
+        self._channel = None
+
+        # The legend + Show-relationship control live INSIDE the D3 graph
+        # template now (assets/graph_template.html) — the graph column is just
+        # the stack (native view / D3 web / messages).
+        split.addWidget(self._stack)
+
+        # Right-side agent panel (GraphRAG Q&A)
+        right = QWidget()
+        rl = QVBoxLayout(right)
+        rl.setContentsMargins(0, 0, 0, 0)
+
+        # Agent panel header with collapse button
+        ag_hdr = QHBoxLayout()
+        self._ag_collapse = QPushButton()
+        self._ag_collapse.setIcon(collapse_right_icon())
+        self._ag_collapse.setFixedWidth(28)
+        self._ag_collapse.clicked.connect(lambda: self._set_agent_collapsed(True))
+        self._ag_label = QLabel()
+        ag_hdr.addWidget(self._ag_collapse)
+        ag_hdr.addWidget(self._ag_label, 1)
+        rl.addLayout(ag_hdr)
+
+        # Ask row
+        ask_row = QHBoxLayout()
+        self.ask_edit = QLineEdit()
+        self.ask_edit.returnPressed.connect(self._ask)
+        self._ask_btn = QPushButton()
+        self._ask_btn.setIcon(icon("chat"))
+        self._ask_btn.setObjectName("primary")
+        self._ask_btn.clicked.connect(self._ask)
+        ask_row.addWidget(self.ask_edit, 1)
+        ask_row.addWidget(self._ask_btn)
+        rl.addLayout(ask_row)
+
+        # Detail browser
+        self.detail = QTextBrowser()
+        self.detail.setReadOnly(True)
+        self.detail.setOpenLinks(False)
+        self.detail.anchorClicked.connect(self._on_detail_link)
+        rl.addWidget(self.detail, 1)
+
+        self._agent_panel = right
+
+        self._agent_strip = CollapseStrip(tr("structure.expand_agent_tooltip"), expand_dir="left")
+        self._agent_strip.clicked.connect(lambda: self._set_agent_collapsed(False))
+        self._agent_strip.setVisible(False)
+        self._agent_pane = QWidget()
+        apl = QHBoxLayout(self._agent_pane)
+        apl.setContentsMargins(0, 0, 0, 0)
+        apl.setSpacing(0)
+        apl.addWidget(self._agent_strip)
+        apl.addWidget(right, 1)
+
+        self._split = split
+        split.addWidget(self._agent_pane)
+        split.setChildrenCollapsible(False)
+        split.setSizes([840, 320])
+        root.addWidget(split, 1)
+        on_language_changed(self._retranslate)
+
+    def _retranslate(self) -> None:
+        self.path_edit.setPlaceholderText(tr("structure.path_placeholder"))
+        self._pick_btn.setText(tr("structure.browse"))
+        self._scan_btn.setText(tr("structure.scan"))
+        self._export_btn.setText(tr("structure.export_png"))
+        # Both views are named at once now, so neither label depends on state.
+        self.view_tabs.setTabText(0, tr("structure.graph_btn"))
+        self.view_tabs.setTabText(1, tr("structure.msgs_btn"))
+        self.view_tabs.setTabToolTip(1, tr("structure.msgs_tooltip"))
+        self._ag_collapse.setToolTip(tr("structure.collapse_agent_tooltip"))
+        self._ag_label.setText(tr("structure.agent_header"))
+        self.ask_edit.setPlaceholderText(tr("structure.ask_placeholder"))
+        self._ask_btn.setText(tr("structure.ask"))
+        if self._detail_mode == "idle":
+            self.detail.setPlaceholderText(tr("structure.detail_placeholder"))
+        self._agent_strip.setToolTip(tr("structure.expand_agent_tooltip"))
+        self.project_combo.setToolTip(tr("structure.project_tooltip"))
+        self._refresh_project_combo()
+
+    # ---- project sandbox lock -----------------------------------------
+    def _refresh_project_combo(self) -> None:
+        from ..core.projects import list_projects
+
+        keep = self._active_project_id
+        self.project_combo.blockSignals(True)
+        self.project_combo.clear()
+        self.project_combo.addItem(tr("structure.project_none"), "")
+        row_to_select = 0
+        for i, p in enumerate(list_projects(), start=1):
+            self.project_combo.addItem(p.name, p.project_id)
+            if p.project_id == keep:
+                row_to_select = i
+        self.project_combo.setCurrentIndex(row_to_select)
+        self.project_combo.blockSignals(False)
+
+    def set_project(self, project_id: str) -> None:
+        pid = project_id or ""
+        self._refresh_project_combo()
+        target = self.project_combo.findData(pid)
+        if target < 0:
+            target = 0
+        if self.project_combo.currentIndex() == target:
+            self._on_project_changed(target)
+        else:
+            self.project_combo.setCurrentIndex(target)
+
+    def _on_project_changed(self, _idx: int) -> None:
+        from ..core.projects import load_project
+
+        pid = self.project_combo.currentData() or ""
+        project_changed = pid != self._active_project_id
+        if project_changed:
+            self._clear_extracts()      # different workspace → drop temp extraction
+        self._active_project_id = pid
+        locked = bool(pid)
+        self.path_edit.setReadOnly(locked)
+        # Also disable the folder-pick button — otherwise the scan path is only
+        # "locked" against typing, but the picker could still repoint it outside
+        # the selected project's sandbox, breaking GraphRAG scope isolation.
+        self._pick_btn.setEnabled(not locked)
+        if locked:
+            project = load_project(pid)
+            if project is not None:
+                self.path_edit.setText(str(project.workspace_dir()))
+        if project_changed:
+            # Mark it and scan on the next visit rather than now. The rail's
+            # project picker made switching a one-click thing from any screen,
+            # and each switch rebuilt this graph — a folder walk plus a force
+            # layout plus a full setHtml of the D3 page — for a tab that was
+            # usually not even on screen. auto_scan_and_fit() picks the flag up
+            # when GraphRAG is actually opened.
+            self._needs_scan = True
+
+    # ---- helpers -----------------------------------------------------
+    def _pick(self) -> None:
+        chosen = QFileDialog.getExistingDirectory(self, tr("structure.pick_folder_title"), self.path_edit.text())
+        if chosen:
+            self.path_edit.setText(chosen)
+
+    def schedule_rescan(self, path: str = "") -> None:
+        if self._graph is None:
+            self._needs_scan = True
+            return
+        self._rescan_timer.start()
+
+    # ---- Messages (by day, as JSON) --------------------------------------
+    def _on_view_tab(self, index: int) -> None:
+        """Tab 0 = graph, tab 1 = messages. Same two views as before, now named
+        on screen instead of hidden behind one button's changing label."""
+        if index == 1:
+            self._reload_messages()
+            self._stack.setCurrentWidget(self._msgs_view)
+        else:
+            self._stack.setCurrentWidget(self.web if self.web is not None else self.view)
+
+    def _toggle_messages(self) -> None:
+        """Kept for callers that still ask for a flip (e.g. keyboard paths)."""
+        showing = self._stack.currentWidget() is self._msgs_view
+        self.view_tabs.setCurrentIndex(0 if showing else 1)
+
+    def _reload_messages(self) -> None:
+        """Build the tree: day → conversation. Click a conversation to see its
+        messages as JSON. Scoped to the current project (its history folder)."""
+        from collections import OrderedDict
+
+        from PySide6.QtCore import Qt
+        from PySide6.QtWidgets import QTreeWidgetItem
+
+        from ..core.history import list_conversations
+        self._msgs_view.clear()
+        pid = self._active_project_id or ""
+        by_day: "OrderedDict[str, list]" = OrderedDict()
+        try:
+            convs = list_conversations(self.ctx.config.history_dir())
+        except Exception:  # noqa: BLE001
+            convs = []
+        for conv in convs:
+            if pid and conv.get("project_id", "default") != pid:
+                continue
+            day = (conv.get("created") or "")[:10] or "—"
+            by_day.setdefault(day, []).append(conv)
+        if not by_day:
+            self._msgs_view.addTopLevelItem(QTreeWidgetItem([tr("structure.msgs_none")]))
+            return
+        for day in sorted(by_day, reverse=True):
+            convs_d = by_day[day]
+            day_item = QTreeWidgetItem([f"{day}   ({len(convs_d)})"])
+            for conv in convs_d:
+                it = QTreeWidgetItem([conv.get("title", "(untitled)")])
+                it.setData(0, Qt.UserRole, str(conv.get("path", "")))
+                day_item.addChild(it)
+            self._msgs_view.addTopLevelItem(day_item)
+            day_item.setExpanded(True)
+
+    def _show_msg_json(self, item, _col: int = 0) -> None:
+        import html
+        import json
+
+        from PySide6.QtCore import Qt
+
+        from ..core.history import load_conversation
+        path = item.data(0, Qt.UserRole)
+        if not path:
+            return
+        try:
+            conv = load_conversation(path)
+            payload = {"title": conv.get("title", ""), "created": conv.get("created", ""),
+                       "kind": conv.get("kind", ""), "project_id": conv.get("project_id", ""),
+                       "messages": conv.get("messages", [])}
+            text = json.dumps(payload, ensure_ascii=False, indent=2)
+        except Exception as exc:  # noqa: BLE001
+            text = f"(could not read: {exc})"
+        self.detail.setHtml(
+            f'<pre style="white-space:pre-wrap; font-family:Consolas,monospace; '
+            f'font-size:12px;">{html.escape(text)}</pre>')
+
+    def prewarm(self) -> None:
+        """Pay for the graph view before it is clicked on, not during.
+
+        Opening GraphRAG built a QWebEngineView (~140ms) and scanned the project
+        (~485ms) while an empty browser sat on screen — long enough, and white
+        enough, to read as the app restarting itself. Called from an idle timer
+        after the window is up, so startup itself is unaffected; the memory the
+        lazy construction was saving is spent a few seconds later instead.
+        """
+        if not _HAS_WEB or self.web is not None:
+            return
+        self._ensure_web()
+        if self._graph is None and self.path_edit.text().strip():
+            self._needs_scan = False
+            self._scan()          # runs on a worker thread
+
+    def _ensure_web(self) -> None:
+        if self.web is not None or not _HAS_WEB:
+            return
+        self.web = QWebEngineView()
+        # Blank the page in the app's own background first. A fresh
+        # QWebEngineView paints white, and on a dark theme that white rectangle
+        # WAS the flash — it showed for as long as the first scan took.
+        self.web.setHtml(
+            f"<body style='margin:0;background:{current_palette().bg}'></body>")
+        self._bridge = _Bridge()
+        self._channel = QWebChannel()
+        self._channel.registerObject("py", self._bridge)
+        self.web.page().setWebChannel(self._channel)
+        self._stack.addWidget(self.web)
+        self._stack.setCurrentWidget(self.web)
+        if self._graph is not None:
+            self._render_d3()
+
+    def auto_scan_and_fit(self) -> None:
+        self._ensure_web()
+        if not self.path_edit.text().strip():
+            return
+        if getattr(self, "_worker", None) is not None and self._worker.isRunning():
+            self._fit()
+            self._preserve_answer()
+            return
+        if self._graph is not None and not self._needs_scan:
+            self._fit()
+            self._preserve_answer()
+            return
+        self._needs_scan = False
+        self._scan()
+
+    # ---- scan --------------------------------------------------------
+    def _scan(self) -> None:
+        path = self.path_edit.text().strip() or str(Path.cwd())
+        mode = "files"  # default: scan all files (filter removed)
+        use_cmem = bool(self.ctx.config.codebase_memory.get("enabled"))
+        cmem_bin = self.ctx.config.codebase_memory.get("binary_path", "")
+        st = self.ctx.config.structure
+        max_nodes = int(st.get("max_nodes", 500) or 0)
+        max_edges = int(st.get("max_edges", 500) or 0)
+        self._scan_seq += 1
+        seq = self._scan_seq
+        self.status_message.emit(tr("structure.scanning"))
+
+        def job(worker: AgentWorker):
+            from ..core.structure_graph import (
+                build_from_codebase_memory, build_from_directory, force_layout,
+            )
+            if use_cmem:
+                from ..core.codebase_memory import CodebaseMemory
+                mem = CodebaseMemory(cmem_bin)
+                graph = (build_from_codebase_memory(mem, path, mode, max_nodes, max_edges)
+                         if mem.available else build_from_directory(path, mode, max_nodes, max_edges))
+            else:
+                graph = build_from_directory(path, mode, max_nodes, max_edges)
+            pos = force_layout(graph)
+            return {"graph": graph, "pos": pos, "seq": seq}
+
+        w = AgentWorker(job)
+        w.finished_ok.connect(self._render)
+        w.failed.connect(lambda e: self.status_message.emit(tr("structure.scan_error", err=e)))
+        self._worker = w
+        w.start()
+
+    def _render(self, result: dict) -> None:
+        if result.get("seq") is not None and result["seq"] != self._scan_seq:
+            return
+        graph = result.get("graph")
+        pos = result.get("pos", {})
+        if graph is None:
+            return
+        self._graph = graph
+
+        self.scene.clear()
+        self.scene.setBackgroundBrush(QColor(current_palette().bg))   # restore after clear
+        self._node_items = []
+        self._edge_items = []
+        degree = {n.id: 0 for n in graph.nodes}
+        for e in graph.edges:
+            if e.source in degree:
+                degree[e.source] += 1
+            if e.target in degree:
+                degree[e.target] += 1
+        items = {}
+        sx = sy = 0.0
+        for node in graph.nodes:
+            radius = int(8 + min(20, 2.2 * math.sqrt(degree.get(node.id, 0))))
+            item = _Node(node, radius)
+            x, y = pos.get(node.id, (0, 0))
+            item.setPos(x, y)
+            self.scene.addItem(item)
+            items[node.id] = item
+            self._node_items.append(item)
+            sx += x
+            sy += y
+        for edge in graph.edges:
+            a, b = items.get(edge.source), items.get(edge.target)
+            if a and b:
+                e = _Edge(a, b, getattr(edge, "type", ""))
+                self.scene.addItem(e)
+                self._edge_items.append(e)
+        n = max(1, len(self._node_items))
+        self._centroid = QPointF(sx / n, sy / n)
+        self._fit()
+
+        if self.web is not None:
+            self._render_d3()
+
+        note = tr("structure.truncated_note") if getattr(graph, "truncated", False) else ""
+        self.status_message.emit(tr(
+            "structure.graph_summary", nodes=len(graph.nodes), edges=len(graph.edges), note=note))
+        self._preserve_answer()
+
+    def _render_d3(self) -> None:
+        if self.web is None or self._graph is None:
+            return
+        from ..core.d3_graph import build_html
+        try:
+            self.web.setHtml(build_html(self._graph), QUrl("https://cowork.local/"))
+        except Exception as exc:
+            self.status_message.emit(f"D3 view error: {exc}")
+
+    # ---- native interactions ----------------------------------------
+    def _on_selection(self) -> None:
+        for item in self.scene.selectedItems():
+            if isinstance(item, _Node):
+                d = item.data
+                self.detail.setPlainText(f"[{d.kind.upper()}] {d.label}\n\n{d.detail}")
+                self._detail_mode = "node"
+                return
+
+    def _preserve_answer(self) -> None:
+        if self._detail_mode == "answer" and self._answer.strip():
+            self._render_answer()
+
+    def _set_agent_collapsed(self, collapsed: bool) -> None:
+        strip_w = CollapseStrip.WIDTH + 2
+        self._agent_panel.setVisible(not collapsed)
+        self._agent_strip.setVisible(collapsed)
+        if collapsed:
+            self._agent_pane.setMaximumWidth(strip_w)
+            sizes = self._split.sizes()
+            if len(sizes) == 2:
+                self._split.setSizes([max(1, sum(sizes) - strip_w), strip_w])
+        else:
+            self._agent_pane.setMaximumWidth(16777215)
+            self._split.setSizes([840, 320])
+
+    def _fit(self) -> None:
+        if self.web is not None and self._stack.currentWidget() is self.web:
+            self.web.page().runJavaScript("window.fitGraph && window.fitGraph();")
+            return
+        rect = self.scene.itemsBoundingRect()
+        if not rect.isNull():
+            self.view.fitInView(rect.adjusted(-40, -40, 40, 40), Qt.KeepAspectRatio)
+
+    def _export(self) -> None:
+        path, _ = QFileDialog.getSaveFileName(
+            self, tr("structure.export_title"), "structure-graph.png", "PNG (*.png)")
+        if not path:
+            return
+        showing_d3 = (self.web is not None and self._stack.currentWidget() is self.web)
+        if showing_d3:
+            self._export_d3_png(path)
+        else:
+            self._export_widget_grab(path)
+
+    def _export_d3_png(self, path: str) -> None:
+        def on_result(data_url) -> None:
+            if not isinstance(data_url, str) or "," not in data_url:
+                self._export_widget_grab(path)
+                return
+            import base64
+            try:
+                with open(path, "wb") as f:
+                    f.write(base64.b64decode(data_url.split(",", 1)[1]))
+                self.status_message.emit(tr("structure.export_done", path=path))
+            except (OSError, ValueError) as exc:
+                self.status_message.emit(tr("structure.export_failed", err=str(exc)))
+        self.web.page().runJavaScript("window.exportPng ? window.exportPng() : ''", on_result)
+
+    def _export_widget_grab(self, path: str) -> None:
+        ok = self._stack.currentWidget().grab().save(path, "PNG")
+        if ok:
+            self.status_message.emit(tr("structure.export_done", path=path))
+        else:
+            self.status_message.emit(tr("structure.export_failed", err="grab() returned no image"))
+
+    # ---- agent Q&A over the graph -----------------------------------
+    @staticmethod
+    def _graph_context(graph) -> str:
+        from collections import defaultdict
+        by_kind = defaultdict(list)
+        for n in graph.nodes:
+            by_kind[n.kind].append(n.label)
+        lines = []
+        for kind in ("file", "class", "function", "method", "module", "section"):
+            items = by_kind.get(kind, [])
+            if items:
+                lines.append(f"{kind} ({len(items)}): " + ", ".join(items[:60]))
+        id2label = {n.id: n.label for n in graph.nodes}
+        rels = [f"{id2label.get(e.source, e.source)} -{e.type}-> {id2label.get(e.target, e.target)}"
+                for e in graph.edges[:140]]
+        if rels:
+            lines.append("Relationships (sample):\n" + "\n".join(rels))
+        return "\n".join(lines)[:7000]
+
+    def _matched_sources(self, text: str):
+        if self._graph is None or not text:
+            return []
+        found: dict[str, tuple[str, str, str]] = {}
+        for n in self._graph.nodes:
+            if not n.path:
+                continue
+            label = n.label.rstrip("()")
+            if len(label) < 3:
+                continue
+            if n.path not in found and re.search(rf"\b{re.escape(label)}\b", text):
+                found[n.path] = (n.kind, n.label, n.detail or n.path)
+        return sorted(found.items(), key=lambda kv: kv[1][1].lower())[:12]
+
+    def _linkify_files(self, text: str, sources) -> str:
+        """Turn file/entity NAMES mentioned in the answer into clickable links that
+        open the file — so the user can click a name in the answer to view it."""
+        for path, (kind, label, rel) in sources:
+            href = QUrl.fromLocalFile(path).toString(QUrl.ComponentFormattingOption.FullyEncoded)
+            tokens = []
+            base = Path(path).name
+            if base and len(base) >= 3:
+                tokens.append(base)
+            lab = (label or "").rstrip("()").strip()
+            if lab and lab != base and len(lab) >= 3:
+                tokens.append(lab)
+            for tok in tokens:
+                esc = re.escape(tok)
+                # `tok` (code span) → keep the code style but make it a link
+                text = re.sub(rf"`{esc}`", f"[`{tok}`]({href})", text)
+                # bare tok, not already inside a link / path / code span
+                text = re.sub(rf"(?<![\w`/\\.\]\)]){esc}(?![\w`\]\(])", f"[{tok}]({href})", text)
+        return text
+
+    def _render_answer(self) -> None:
+        text = self._answer
+        sources = self._matched_sources(text)
+        if sources:
+            # 1) Make the file/entity names IN THE ANSWER clickable (open on click).
+            text = self._linkify_files(text, sources)
+            # 2) Append a clickable "Related sources" section listing each file.
+            lines = [text, "", "---", f"**{tr('structure.related_sources')}**"]
+            for path, (kind, label, rel) in sources:
+                href = QUrl.fromLocalFile(path).toString(QUrl.ComponentFormattingOption.FullyEncoded)
+                # kind badge for context (file/function/section/json_key)
+                kind_badge = f" [{kind.upper()}]" if kind not in ("file",) else ""
+                lines.append(f"- **[{label}⧉]({href})**{kind_badge} — `{rel}`")
+            text = "\n".join(lines)
+        self.detail.setMarkdown(text)
+
+    def _on_detail_link(self, url: QUrl) -> None:
+        if url.isLocalFile():
+            p = url.toLocalFile()
+            # Open the FILE itself for viewing (fall back to its folder for a dir).
+            if Path(p).is_file():
+                open_location(p)
+            else:
+                open_folder(p)
+
+    def _ask(self) -> None:
+        question = self.ask_edit.text().strip()
+        if not question:
+            return
+        from ..core.skills import parse_skill_command
+        skill_prefix, question, info = parse_skill_command(question)
+        if info is not None:
+            self.detail.setMarkdown(info)
+            self._detail_mode = "answer"
+            self.ask_edit.clear()
+            return
+        if self._graph is None:
+            self.status_message.emit(tr("structure.scan_first"))
+            return
+        context = self._graph_context(self._graph)
+        # Real file CONTENT to answer from (extracted temporarily in the worker):
+        file_paths = self._candidate_file_paths()
+        extract_cache = dict(self._extract_cache)
+        extract_dir = str(self._extract_tmp_dir())
+        self._answer = ""
+        self._detail_mode = "answer"
+        self.detail.setPlainText("…")
+        self.ask_edit.clear()
+
+        active_project_id = self._active_project_id
+
+        # Collect selected node context for auto-filtering
+        selected_nodes = [item.data for item in self.scene.selectedItems() if isinstance(item, _Node)]
+        selected_context = ""
+        if selected_nodes:
+            node_lines = []
+            for nd in selected_nodes:
+                node_lines.append(f"- {nd.label} (kind: {nd.kind}, path: {getattr(nd, 'path', '')})")
+                if nd.detail:
+                    node_lines.append(f"  detail: {nd.detail}")
+            # Also gather connected nodes
+            connected_ids = set()
+            for nd in selected_nodes:
+                for edge in self._graph.edges:
+                    if edge.source == nd.id:
+                        connected_ids.add(edge.target)
+                    elif edge.target == nd.id:
+                        connected_ids.add(edge.source)
+            connected_nodes = [n for n in self._graph.nodes if n.id in connected_ids]
+            if connected_nodes:
+                node_lines.append("\nConnected nodes:")
+                for cn in connected_nodes:
+                    node_lines.append(f"- {cn.label} (kind: {cn.kind})")
+            selected_context = "\n".join(node_lines)
+
+        def job(worker: AgentWorker):
+            provider = self.ctx.build_active_provider()
+            system = ("You answer questions about a code/document knowledge graph. Use the provided "
+                      "graph context AND the extracted file contents to retrieve, synthesize and "
+                      "explain the answer. Be concise. Answer ONLY from what is provided (graph "
+                      "context + extracted contents) — never invent files, functions, or facts that "
+                      "aren't in it.\n\n"
+                      "EACH answer MUST include source citations so the user can verify where "
+                      "information came from. For every factual claim, file reference, or code "
+                      "element you mention, add a citation using this format:\n\n"
+                      "  [source: filename.ext, line/section: XXX]\n\n"
+                      "Rules for citations:\n"
+                      "  1. Cite the EXACT file path from the graph context (use the path field).\n"
+                      "  2. For Python files: cite the function/class name and approximate line "
+                      "     if available, or the module name.\n"
+                      "  3. For document files (.md, .txt): cite the section heading.\n"
+                      "  4. For JSON files: cite the key path (e.g. settings > database > host).\n"
+                      "  5. Place citations inline after the relevant sentence or fact.\n"
+                      "  6. At the end of your answer, add a '---' separator followed by a "
+                      "     numbered **Sources cited:** section listing each unique source with "
+                      "     its full path so the user can click to open it.\n\n"
+                      "Example citation format in text:\n"
+                      "  The `process_data()` function handles CSV parsing "
+                      "[source: src/utils/parser.py, function: process_data].\n\n"
+                      "Example end-of-answer source list:\n"
+                      "  ---\n"
+                      "  **Sources cited:**\n"
+                      "  1. `src/utils/parser.py` — process_data function\n"
+                      "  2. `docs/api.md` — Section: Authentication\n")
+            if skill_prefix:
+                system += "\n\nFollow this skill:\n" + skill_prefix
+            if active_project_id:
+                from ..core.projects import load_project, project_context_text
+                proj_ctx = project_context_text(load_project(active_project_id))
+                if proj_ctx:
+                    system += "\n\n" + proj_ctx
+            user_content = f"Graph context:\n{context}"
+            if selected_context:
+                user_content += f"\n\nSelected node(s) context (focus your answer on these):\n{selected_context}"
+            # Auto-extract the actual file contents (temporary) so the answer is
+            # synthesized from real content, not just the graph structure.
+            content_block, new_cache = _extract_file_contents(file_paths, extract_cache, extract_dir)
+            if content_block:
+                user_content += ("\n\nExtracted file contents (read these to answer about file "
+                                 "details/data; cite the file path):\n" + content_block)
+            user_content += f"\n\nQuestion: {question}"
+            messages = [
+                {"role": "system", "content": system},
+                {"role": "user", "content": user_content},
+            ]
+            from ..core import agent_roles, audit_log
+            ok = True
+            try:
+                provider.chat(messages, on_text=lambda t: worker.emit_event({"type": "text", "delta": t}),
+                              cancel=worker.is_cancelled)
+            except Exception:
+                ok = False
+                raise
+            finally:
+                audit_log.record("tool_call", "graphrag_ask", ok, question[:500],
+                                 agent_role=agent_roles.KNOWLEDGE)
+            return {"extracted": new_cache}
+
+        w = AgentWorker(job)
+        w.event.connect(self._on_ask_event)
+        w.finished_ok.connect(self._on_ask_done)
+        w.failed.connect(lambda e: self.detail.setPlainText(f"Error: {e}"))
+        self._ask_worker = w
+        w.start()
+
+    def _on_ask_event(self, ev: dict) -> None:
+        if ev.get("type") == "text":
+            if self._answer == "":
+                self.detail.clear()
+            self._answer += ev.get("delta", "")
+            self.detail.setPlainText(self._answer)
+
+    def _on_ask_done(self, result: dict) -> None:
+        # Keep the (temporary) extracted content so repeated questions reuse it
+        # without re-extracting — dropped when leaving the tab (_clear_extracts).
+        if isinstance(result, dict):
+            self._extract_cache.update(result.get("extracted", {}) or {})
+        self._render_answer()
+
+    # ---- temporary file-content extraction for Q&A ------------------------
+    def _candidate_file_paths(self) -> list:
+        """File paths to read for a question: the SELECTED file nodes if any, else
+        every file node in the graph (capped downstream)."""
+        from pathlib import Path as _P
+        if self._graph is None:
+            return []
+        sel = [item.data for item in self.scene.selectedItems() if isinstance(item, _Node)]
+        nodes = sel or list(self._graph.nodes)
+        out, seen = [], set()
+        for nd in nodes:
+            p = (getattr(nd, "path", "") or "").strip()
+            if p and p not in seen and _P(p).is_file():
+                seen.add(p)
+                out.append(p)
+        return out
+
+    def _extract_tmp_dir(self):
+        from pathlib import Path as _P
+        if self._extract_dir is None:
+            import tempfile
+            from ..config import CONFIG_DIR
+            base = CONFIG_DIR / "tmp" / "graphrag_extract"
+            base.mkdir(parents=True, exist_ok=True)
+            self._extract_dir = _P(tempfile.mkdtemp(dir=str(base)))
+        return self._extract_dir
+
+    def _clear_extracts(self) -> None:
+        """Discard the temporary extracted content (on leaving the tab / switching
+        project). The extraction is a scratch aid, never persisted."""
+        self._extract_cache = {}
+        d, self._extract_dir = self._extract_dir, None
+        if d is not None:
+            import shutil
+            shutil.rmtree(d, ignore_errors=True)
+
+    def hideEvent(self, e):  # noqa: N802
+        # Leaving the GraphRAG tab → drop the temporary extracted info.
+        self._clear_extracts()
+        super().hideEvent(e)
+
+
+
+
+
+# --------------------------------------------------------------------------
+# Temporary file-content extraction for Graph-RAG Q&A (runs in the ask worker)
+# --------------------------------------------------------------------------
+def _pdf_to_markdown(pdf_path, out_dir) -> str | None:
+    """Convert a PDF to Markdown with opendataloader-pdf when available (richer
+    structure than a plain text dump). Best-effort — returns None if the package
+    isn't installed or the call fails, so the caller falls back to doc_extract."""
+    from pathlib import Path as _P
+    try:
+        import opendataloader_pdf  # optional; auto-installed elsewhere if present
+    except Exception:  # noqa: BLE001
+        try:
+            from ..core.deps import ensure_module
+            if ensure_module("opendataloader_pdf", "opendataloader-pdf") is None:
+                return None
+            import opendataloader_pdf  # noqa: F811
+        except Exception:  # noqa: BLE001
+            return None
+    out = _P(out_dir)
+    out.mkdir(parents=True, exist_ok=True)
+    for call in (
+        lambda: opendataloader_pdf.convert(input_path=[str(pdf_path)], output_dir=str(out),
+                                           generate_markdown=True),
+        lambda: opendataloader_pdf.convert(input_path=str(pdf_path), output_dir=str(out)),
+        lambda: opendataloader_pdf.convert(str(pdf_path), str(out)),
+    ):
+        try:
+            call()
+            break
+        except TypeError:
+            continue
+        except Exception:  # noqa: BLE001
+            return None
+    mds = list(out.rglob(_P(pdf_path).stem + "*.md")) or list(out.rglob("*.md"))
+    for md in mds:
+        try:
+            return md.read_text(encoding="utf-8", errors="replace")
+        except OSError:
+            continue
+    return None
+
+
+def _extract_file_contents(paths, cache: dict, tmp_dir,
+                           max_files: int = 15, max_total: int = 120_000):
+    """Read the ACTUAL content of ``paths`` (PDF→markdown via opendataloader when
+    available, else doc_extract for office/pdf/text). Returns ``(block, cache)``
+    — ``block`` is the concatenated content for the prompt (bounded), ``cache``
+    maps path→text for reuse. Never raises."""
+    from pathlib import Path as _P
+    from ..core import doc_extract
+    cache = dict(cache or {})
+    parts, total = [], 0
+    for p in paths[:max_files]:
+        if total >= max_total:
+            break
+        text = cache.get(p)
+        if text is None:
+            try:
+                if _P(p).suffix.lower() == ".pdf":
+                    text = _pdf_to_markdown(p, tmp_dir)
+                    if not text:
+                        text, _n = doc_extract.extract_text(p)
+                else:
+                    text, _n = doc_extract.extract_text(p)
+            except Exception:  # noqa: BLE001
+                text = ""
+            cache[p] = text or ""
+        text = cache.get(p) or ""
+        if not text:
+            continue
+        chunk = text[: max(0, max_total - total)]
+        total += len(chunk)
+        parts.append(f'--- {_P(p).name} ({p}) ---\n{chunk}')
+    return ("\n\n".join(parts), cache)
diff --git a/ui/task_editor_dialog.py b/ui/task_editor_dialog.py
index 9d135d8..ba608fa 100644
--- a/ui/task_editor_dialog.py
+++ b/ui/task_editor_dialog.py
@@ -19,7 +19,7 @@ from PySide6.QtWidgets import (
     QCheckBox, QComboBox, QDateTimeEdit, QDialog, QDialogButtonBox, QFileDialog,
     QFormLayout, QGroupBox, QHBoxLayout, QInputDialog, QLabel, QLineEdit,
     QListWidget, QListWidgetItem, QMessageBox, QPlainTextEdit, QPushButton,
-    QScrollArea, QSpinBox, QVBoxLayout, QWidget,
+    QScrollArea, QSpinBox, QTabWidget, QVBoxLayout, QWidget,
 )
 
 from ..config import PROVIDER_LABELS
@@ -70,28 +70,36 @@ class TaskEditorDialog(QDialog):
         self.edited_task: Optional[dict] = None
         self.setWindowTitle(tr("schedtask.editor_title_edit" if task else "schedtask.editor_title_new"))
         self.resize(560, 680)
-        # Flat inputs: every field (text, list, combo, spin, date) is transparent
-        # so it shows the page background (the app theme otherwise fills inputs
-        # with a lighter box) — just a light outline, consistent with the rest of
-        # the app. The combo drop-down popup keeps a solid dark background so its
-        # items stay readable.
-        self.setStyleSheet(
-            "QLineEdit, QPlainTextEdit, QListWidget, QComboBox, QAbstractSpinBox {"
-            " background: transparent; border: 1px solid rgba(140,146,152,0.45);"
-            " border-radius: 6px; }"
-            "QListWidget::item { background: transparent; }"
-            "QComboBox QAbstractItemView { background: #111D32; color: #E0F0FF; }")
+        # Only the files/links/depends-on lists go flat (transparent, no boxed
+        # panel) — they sit right next to their own +/trash buttons, which is
+        # enough affordance without a filled background. Title/Description/
+        # Prompt/combos etc. keep the app's normal raised-surface + border
+        # look (theme.py's default for these widget types): a transparent
+        # single/multi-line box with only a 1px border was tried here and
+        # turned out too faint against the group's own background to read as
+        # an editable field at all ("không thể nhận ra ô textbox của prompt").
+        # Scoped to #flatList, not bare QListWidget — that would also blank
+        # out the sectionIndex sidebar's :selected highlight (set by the app
+        # theme), since a stylesheet set directly on this dialog overrides the
+        # app-wide one for every descendant it matches, regardless of the
+        # theme rule's own selector specificity.
+        self.setStyleSheet("QListWidget#flatList, QListWidget#flatList::item { background: transparent; }")
 
         outer = QVBoxLayout(self)
         scroll = QScrollArea()
         scroll.setWidgetResizable(True)
+        scroll.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff)   # down only
         content = QWidget()
         scroll.setWidget(content)
         outer.addWidget(scroll, 1)
         root = QVBoxLayout(content)
 
         # ---- basics ----------------------------------------------------
-        form = QFormLayout()
+        # A QGroupBox like the other four step pages (Schedule/Input/
+        # Dependency/Execution), so this one isn't the odd one out once it's
+        # moved into its own step page below (bare background, no title).
+        self._basic_box = QGroupBox(tr("schedtask.g_basic"))
+        form = QFormLayout(self._basic_box)
         self.title_edit = QLineEdit(self.task.get("title", ""))
         # Description is the source of truth. Its ✨ button GENERATES the Prompt
         # (Input) FROM the description — the title is just the task's label and
@@ -204,7 +212,7 @@ class TaskEditorDialog(QDialog):
         form.addRow(tr("schedtask.f_skill"), self.skill_combo)
         form.addRow(tr("schedtask.f_priority"), self.priority_combo)
         form.addRow(tr("schedtask.f_status"), self.status_combo)
-        root.addLayout(form)
+        root.addWidget(self._basic_box)
         self._main_form = form
         self._model_box = model_box
         self._on_run_kind_changed()   # apply agent/flow row visibility
@@ -316,6 +324,7 @@ class TaskEditorDialog(QDialog):
         # multi-select file dialog and APPENDS (never wipes what's already
         # there), the trash button removes just the selected row(s).
         self.files_list = QListWidget()
+        self.files_list.setObjectName("flatList")
         self.files_list.setMaximumHeight(90)
         self.files_list.setSelectionMode(QListWidget.ExtendedSelection)
         for p in inp.get("file_paths", []) or []:
@@ -341,6 +350,7 @@ class TaskEditorDialog(QDialog):
         # Links — same "+"-list pattern; "+" prompts for one URL at a time
         # (fetched best-effort and inlined as context, same as file attachments).
         self.links_list = QListWidget()
+        self.links_list.setObjectName("flatList")
         self.links_list.setMaximumHeight(90)
         self.links_list.setSelectionMode(QListWidget.ExtendedSelection)
         for u in inp.get("links", []) or []:
@@ -390,6 +400,7 @@ class TaskEditorDialog(QDialog):
         # Fan-in: tick every task this one must WAIT for — it won't run until
         # ALL of them are Done (parallel predecessors feeding one successor).
         self.depends_list = QListWidget()
+        self.depends_list.setObjectName("flatList")
         self.depends_list.setMaximumHeight(96)
         current_deps = set(dep.get("depends_on") or [])
         for t in self.all_tasks:
@@ -426,6 +437,44 @@ class TaskEditorDialog(QDialog):
         eform.addRow("", self.approval_chk)
         root.addWidget(eg)
 
+        # Three steps, as tabs: Nội dung → Lịch chạy → Liên kết. The five group
+        # boxes are re-parented into three pages — none is dropped, they are
+        # grouped by the question being answered rather than stacked in one
+        # scroll where the later ones are out of sight.
+        # Left list + right panel, navigated exactly like Settings — five rows
+        # matching the five real group boxes, so you always see which group you
+        # are in and how many are left. (Not tabs: the audit page asks for this
+        # shape specifically, for consistency with Settings.)
+        from .widgets import section_panels
+
+        self._step_keys = ["schedtask.g_basic", "schedtask.g_schedule",
+                           "schedtask.g_input", "schedtask.g_dependency",
+                           "schedtask.g_execution"]
+        pages = []
+        for key, group in zip(self._step_keys, [self._basic_box, sg, ig, dg, eg]):
+            page = QWidget()
+            pv = QVBoxLayout(page)
+            pv.setContentsMargins(4, 4, 4, 4)
+            root.removeWidget(group)
+            pv.addWidget(group)
+            pv.addStretch(1)
+            wrap = QScrollArea()
+            wrap.setWidgetResizable(True)
+            wrap.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
+            wrap.setWidget(page)
+            pages.append((tr(key), wrap))
+        self.section_list, self.section_stack = section_panels(pages)
+        outer.removeWidget(scroll)
+        scroll.setParent(None)
+        body = QHBoxLayout()
+        body.setSpacing(10)
+        body.addWidget(self.section_list)
+        body.addWidget(self.section_stack, 1)
+        outer.insertLayout(0, body, 1)
+        # Floor the width at what the widest page needs, at the font in use.
+        widest = max(w.widget().sizeHint().width() for _lab, w in pages)
+        self.setMinimumWidth(self.section_list.width() + widest + 60)
+
         buttons = QDialogButtonBox(QDialogButtonBox.Save | QDialogButtonBox.Cancel)
         buttons.button(QDialogButtonBox.Save).setIcon(icon("save"))
         buttons.button(QDialogButtonBox.Cancel).setIcon(icon("close"))
@@ -438,6 +487,11 @@ class TaskEditorDialog(QDialog):
         from .widgets import guard_wheel
         guard_wheel(self)
 
+    def _retranslate_steps(self) -> None:
+        """Re-label the five section rows for the current language."""
+        for i, key in enumerate(self._step_keys):
+            self.section_list.item(i).setText(tr(key))
+
     def _apply_hints(self) -> None:
         """Tooltip hints on every non-obvious control, so each option explains
         itself on hover."""
diff --git a/ui/terminal_panel.py b/ui/terminal_panel.py
index dede3cf..2d7a728 100644
--- a/ui/terminal_panel.py
+++ b/ui/terminal_panel.py
@@ -27,6 +27,7 @@ from PySide6.QtWidgets import (
 )
 
 from ..i18n import on_language_changed, tr
+from ..theme import current_palette
 from .icons import icon
 
 _IS_WIN = sys.platform == "win32"
@@ -75,8 +76,10 @@ class TerminalPanel(QWidget):
         # ---- header (always visible; click to expand/collapse) --------------
         self._header = QFrame()
         self._header.setObjectName("termHeader")
+        _tp = current_palette()
         self._header.setStyleSheet(
-            "#termHeader { background: rgba(0,0,0,0.06); border-radius: 6px; }")
+            f"#termHeader {{ background: {_tp.surface};"
+            f" border-radius: {_tp.radius}px; }}")
         hb = QHBoxLayout(self._header)
         hb.setContentsMargins(8, 4, 8, 4)
         self._toggle_btn = QPushButton()
@@ -107,8 +110,7 @@ class TerminalPanel(QWidget):
         mono.setStyleHint(QFont.Monospace)
         mono.setPointSize(10)
         self.output.setFont(mono)
-        self.output.setStyleSheet(
-            "#termOutput { background: #1e1e1e; color: #d4d4d4; border: none; }")
+        # Surface comes from the central style sheet (#termOutput) — see theme.py.
         self.output.setMinimumHeight(160)
         bl.addWidget(self.output, 1)
 
@@ -119,9 +121,7 @@ class TerminalPanel(QWidget):
         self.input = _TermInput()
         self.input.setObjectName("termInput")
         self.input.setFont(mono)
-        self.input.setStyleSheet(
-            "#termInput { background: #1e1e1e; color: #d4d4d4; border: 1px solid #3c3c3c; "
-            "border-radius: 6px; padding: 4px 8px; }")
+        # Surface comes from the central style sheet (#termInput) — see theme.py.
         self.input.returnPressed.connect(self._run_current)
         self.input.complete_requested.connect(self._complete)
         self.input.history_prev.connect(lambda: self._history_move(-1))
@@ -282,11 +282,12 @@ class TerminalPanel(QWidget):
         if not text:
             return
         from PySide6.QtGui import QColor, QTextCursor
-        colors = {"cmd": "#4ec9b0", "err": "#f48771", "ok": "#6a9955", "out": "#d4d4d4"}
+        p = current_palette()
+        colors = {"cmd": p.code_type, "err": p.code_error, "ok": p.code_comment, "out": p.code_fg}
         cursor = self.output.textCursor()
         cursor.movePosition(QTextCursor.End)
         fmt = cursor.charFormat()
-        fmt.setForeground(QColor(colors.get(role, "#d4d4d4")))
+        fmt.setForeground(QColor(colors.get(role, p.code_fg)))
         cursor.setCharFormat(fmt)
         cursor.insertText(text)
         self.output.setTextCursor(cursor)
diff --git a/ui/tools_admin_tab.py b/ui/tools_admin_tab.py
index d939057..226008f 100644
--- a/ui/tools_admin_tab.py
+++ b/ui/tools_admin_tab.py
@@ -2,8 +2,9 @@
 
 Two sub-tabs:
   * "Tool"      — built-in agent tools (read/write/edit files, run commands,
-                  install packages, fetch URLs); toggling one OFF removes it
-                  from the agent's toolset (persisted in ``config.tools_disabled``).
+                  install packages, fetch URLs) as a left-aligned card grid;
+                  toggling one OFF removes it from the agent's toolset
+                  (persisted in ``config.tools_disabled``).
   * "Connector" — the full Connectors (MCP / REST API) setup, moved here from
                   Settings: add/edit/delete CAD/CAE/MS365/Other connectors and
                   enable/disable each (``ConnectorsPanel``).
@@ -11,9 +12,10 @@ Two sub-tabs:
 from __future__ import annotations
 
 from PySide6.QtCore import Qt
+from PySide6.QtGui import QColor, QPainter, QPixmap
 from PySide6.QtWidgets import (
-    QCheckBox, QHBoxLayout, QHeaderView, QLabel, QPushButton,
-    QTableWidget, QTableWidgetItem, QTabWidget, QVBoxLayout, QWidget,
+    QFrame, QHBoxLayout, QLabel, QPushButton, QScrollArea, QTabWidget,
+    QVBoxLayout, QWidget,
 )
 
 from ..core.tools import TOOL_SPECS
@@ -22,18 +24,46 @@ from ..i18n import on_language_changed, tr
 from ..state import AppContext
 from .connectors_panel import ConnectorsPanel
 from .icons import icon
+from .widgets import FlowLayout, ToggleSwitch, enable_height_for_width, style_card
+
+# Identity colour + icon per built-in tool — same "fixed colour regardless of
+# theme" convention as monitoring_tab.py's agent avatars / agents_admin_tab.py's
+# kind avatars, grouped by what the tool actually touches (file i/o, shell,
+# packages, network, Jira).
+_TOOL_COLOUR = {
+    "read_file": "#0078D4", "list_dir": "#0078D4", "write_file": "#0078D4",
+    "edit_file": "#0078D4", "run_command": "#107C10", "install_package": "#8764B8",
+    "fetch_url": "#FFB900", "jira_search": "#8764B8", "jira_get_issue": "#8764B8",
+}
+_TOOL_ICON_NAME = {
+    "read_file": "document", "list_dir": "folder", "write_file": "new",
+    "edit_file": "edit", "run_command": "terminal", "install_package": "download",
+    "fetch_url": "globe", "jira_search": "search", "jira_get_issue": "link",
+}
 
 
-def _center_checkbox(checked: bool, on_toggle) -> QWidget:
-    box = QWidget()
-    lay = QHBoxLayout(box)
-    lay.setContentsMargins(0, 0, 0, 0)
-    lay.setAlignment(Qt.AlignCenter)
-    chk = QCheckBox()
-    chk.setChecked(checked)
-    chk.toggled.connect(on_toggle)
-    lay.addWidget(chk)
-    return box
+def _tool_icon_pixmap(name: str, size: int = 28) -> QPixmap:
+    pm = QPixmap(size, size)
+    pm.fill(Qt.transparent)
+    p = QPainter(pm)
+    p.setRenderHint(QPainter.Antialiasing)
+    p.setPen(Qt.NoPen)
+    p.setBrush(QColor(_TOOL_COLOUR.get(name, "#0078D4")))
+    r = size * 0.28
+    p.drawRoundedRect(0, 0, size, size, r, r)
+    inner = int(size * 0.58)
+    glyph = icon(_TOOL_ICON_NAME.get(name, "puzzle"), size=inner, color="#FFFFFF").pixmap(inner, inner)
+    p.drawPixmap((size - inner) // 2, (size - inner) // 2, glyph)
+    p.end()
+    return pm
+
+
+def _clear_flow(flow: FlowLayout) -> None:
+    while flow.count():
+        item = flow.takeAt(0)
+        w = item.widget()
+        if w is not None:
+            w.deleteLater()
 
 
 class ToolsAdminTab(QWidget):
@@ -54,21 +84,20 @@ class ToolsAdminTab(QWidget):
         self._hint.setWordWrap(True)
         tl.addWidget(self._hint)
 
-        self.table = QTableWidget(0, 3)
-        self.table.setEditTriggers(QTableWidget.NoEditTriggers)
-        self.table.verticalHeader().setVisible(False)
-        # Description is the long column — IT stretches to fill remaining
-        # width (was Name, leaving Description squeezed into whatever was
-        # left over); Name/Enabled size to their own content.
-        self.table.horizontalHeader().setSectionResizeMode(0, QHeaderView.ResizeToContents)
-        self.table.horizontalHeader().setSectionResizeMode(1, QHeaderView.Stretch)
-        self.table.horizontalHeader().setSectionResizeMode(2, QHeaderView.ResizeToContents)
-        self.table.setWordWrap(True)
-        tl.addWidget(self.table, 1)
+        # A left-aligned, wrapping card grid — one card per built-in tool
+        # (colour-coded icon + name + toggle switch + description), replacing
+        # the old flat Name/Description/Enabled table.
+        scroll = QScrollArea()
+        scroll.setWidgetResizable(True)
+        scroll.setFrameShape(QScrollArea.NoFrame)
+        cards_host = QWidget()
+        self._tool_flow = FlowLayout(cards_host, margin=0, h_spacing=10, v_spacing=10)
+        scroll.setWidget(cards_host)
+        tl.addWidget(scroll, 1)
 
-        # "Test Internet" self-test lives INSIDE the fetch_url tool row now (see
-        # refresh) instead of a separate boxed section — persistent widgets so
-        # they survive table rebuilds.
+        # "Test Internet" self-test lives INSIDE the fetch_url tool's card now
+        # (see refresh) instead of a separate boxed section — persistent
+        # widgets so they survive card rebuilds.
         self.test_internet_btn = QPushButton(tr("settings.test_internet"))
         self.test_internet_btn.setIcon(icon("globe"))
         self.test_internet_btn.setToolTip(tr("settings.test_internet_tooltip"))
@@ -94,51 +123,71 @@ class ToolsAdminTab(QWidget):
         self.connectors_panel = ConnectorsPanel(ctx)
         self.subtabs.addTab(self.connectors_panel, "")
 
+        # on_language_changed() already invokes _retranslate() once immediately
+        # (see i18n.py) — a second explicit call here double-populates the
+        # card grid back-to-back with no event-loop turn in between, so the
+        # first pass's cards are only queued for deleteLater() (not yet gone)
+        # when the second pass adds new ones on top (see connectors_panel.py's
+        # ConnectorsPanel, which hit the exact same bug this same way).
         on_language_changed(self._retranslate)
-        self._retranslate()
 
-    # ---- built-in tools table -------------------------------------------------
+    # ---- built-in tools card grid ---------------------------------------------
     def refresh(self) -> None:
         disabled = set(self.ctx.config.tools_disabled)
-        specs = list(TOOL_SPECS)
-        self.table.setRowCount(len(specs))
-        for r, spec in enumerate(specs):
-            self.table.setItem(r, 0, QTableWidgetItem(spec.name))
-            # Full description (was truncated to 80 chars, hiding the rest) —
-            # word-wraps inside the stretched column; resizeRowToContents
-            # below grows the row to fit however many lines that takes.
-            if spec.name == "fetch_url":
-                # This tool's row carries the live "Test Internet" self-test
-                # right below its description — no separate boxed section.
-                self.table.setItem(r, 1, None)
-                self.table.setCellWidget(r, 1, self._fetch_url_desc_cell(spec))
-            else:
-                desc_item = QTableWidgetItem(spec.description)
-                desc_item.setToolTip(spec.description)
-                self.table.setItem(r, 1, desc_item)
-            self.table.setCellWidget(
-                r, 2, _center_checkbox(spec.name not in disabled,
-                                       lambda on, n=spec.name: self._toggle_builtin(n, on)))
-        # Once ALL rows/columns are populated (so the stretched Description
-        # column has its real width), grow each row to fit its wrapped text.
-        self.table.resizeRowsToContents()
+        _clear_flow(self._tool_flow)
+        for spec in TOOL_SPECS:
+            self._tool_flow.addWidget(self._tool_card(spec, spec.name not in disabled))
+
+    def _tool_card(self, spec, enabled: bool) -> QWidget:
+        card = QFrame()
+        card.setFrameShape(QFrame.NoFrame)
+        style_card(card)
+        card.setFixedWidth(220)
+        # The description below wraps to a variable number of lines at this
+        # fixed width, so the card's own height depends on its width — without
+        # this, the outer FlowLayout's QWidgetItem queries card.sizePolicy()
+        # (not the description label's), gets a too-short sizeHint, and
+        # squeezes the card into less height than its QVBoxLayout needs,
+        # which is what overlapped the header onto the description text.
+        enable_height_for_width(card)
+        lay = QVBoxLayout(card)
+        lay.setContentsMargins(10, 8, 10, 8)
+        lay.setSpacing(4)
+
+        hdr = QHBoxLayout()
+        icon_lbl = QLabel()
+        icon_lbl.setPixmap(_tool_icon_pixmap(spec.name))
+        icon_lbl.setStyleSheet("border: none;")
+        hdr.addWidget(icon_lbl)
+        name_lbl = QLabel(spec.name)
+        name_lbl.setStyleSheet("font-weight:700; border: none;")
+        hdr.addWidget(name_lbl)
+        hdr.addStretch(1)
+        sw = ToggleSwitch()
+        sw.setChecked(enabled)
+        sw.toggled.connect(lambda on, n=spec.name: self._toggle_builtin(n, on))
+        hdr.addWidget(sw)
+        lay.addLayout(hdr)
 
-    def _fetch_url_desc_cell(self, spec) -> QWidget:
-        cell = QWidget()
-        cl = QVBoxLayout(cell)
-        cl.setContentsMargins(6, 4, 6, 4)
-        cl.setSpacing(4)
         desc = QLabel(spec.description)
         desc.setWordWrap(True)
         desc.setToolTip(spec.description)
-        cl.addWidget(desc)
-        net = QWidget()
-        nl = QHBoxLayout(net)
-        nl.setContentsMargins(0, 0, 0, 0)
-        nl.addWidget(self.test_internet_btn)
-        nl.addWidget(self.test_internet_status, 1)
-        cl.addWidget(net)
-        return cell
+        desc.setObjectName("hint")
+        desc.setStyleSheet("border: none;")
+        lay.addWidget(desc)
+
+        if spec.name == "fetch_url":
+            # The live "Test Internet" self-test lives inside fetch_url's own
+            # card — it tests THIS capability, not the tab as a whole.
+            net = QWidget()
+            net.setStyleSheet("border: none;")
+            nl = QHBoxLayout(net)
+            nl.setContentsMargins(0, 2, 0, 0)
+            nl.addWidget(self.test_internet_btn)
+            nl.addWidget(self.test_internet_status, 1)
+            lay.addWidget(net)
+
+        return card
 
     def _toggle_builtin(self, name: str, enabled: bool) -> None:
         self.ctx.config.set_tool_enabled(name, enabled)
@@ -192,9 +241,5 @@ class ToolsAdminTab(QWidget):
         self.test_internet_btn.setText(tr("settings.test_internet"))
         self.test_internet_btn.setToolTip(tr("settings.test_internet_tooltip"))
         self.refresh_btn.setText(tr("tools_admin.refresh"))
-        self.table.setHorizontalHeaderLabels([
-            tr("tools_admin.col_name"), tr("tools_admin.col_desc"),
-            tr("tools_admin.col_enabled"),
-        ])
         self.jira_note.setText(tr("tools_admin.jira_note"))
         self.refresh()
diff --git a/ui/widgets.py b/ui/widgets.py
index fa85d14..c980d00 100644
--- a/ui/widgets.py
+++ b/ui/widgets.py
@@ -5,39 +5,150 @@ from __future__ import annotations
 
 from pathlib import Path
 
-from PySide6.QtCore import QEvent, QObject, QPointF, QRectF, Qt, Signal
+from PySide6.QtCore import (
+    QEvent, QObject, QPoint, QPointF, QRect, QRectF, QSize, Qt, Signal,
+)
 from PySide6.QtGui import QColor, QPainter, QPen
 from PySide6.QtWidgets import (
-    QAbstractSpinBox, QComboBox, QDoubleSpinBox, QFrame, QGraphicsDropShadowEffect,
-    QHBoxLayout, QLabel, QListWidget, QListWidgetItem, QPushButton, QSizePolicy,
-    QVBoxLayout, QWidget,
+    QAbstractSpinBox, QCheckBox, QComboBox, QDoubleSpinBox, QFrame,
+    QHBoxLayout, QLabel, QLayout, QListWidget, QListWidgetItem, QPushButton,
+    QSizePolicy, QVBoxLayout, QWidget,
 )
 
 from ..core.flows import STEP_DONE, STEP_ERROR, STEP_PENDING, STEP_RUNNING
-from ..theme import ACCENT
+from ..theme import current_palette
 from .icons import DOT_BLUE, DOT_GREEN, DOT_GREY, DOT_RED, dot_icon, icon
 
 
+def badge_pill_widget(text: str, object_name: str) -> QWidget:
+    """A small rounded pill for a table cell — a coloured role/status tag
+    (``object_name`` is one of theme.py's ``badge*`` QLabel names). Wrapped in
+    a transparent container rather than passed as a bare label: a
+    ``setCellWidget()`` widget is stretched to fill the whole cell, and
+    without the container's own ``background: transparent`` the app-wide
+    ``QWidget { background: $bg }`` rule (theme.py) paints that stretched
+    area opaque, hiding the pill inside a solid block instead of a snug tag."""
+    container = QWidget()
+    container.setStyleSheet("background: transparent;")
+    lay = QHBoxLayout(container)
+    lay.setContentsMargins(4, 2, 4, 2)
+    lbl = QLabel(text)
+    lbl.setObjectName(object_name)
+    lay.addWidget(lbl, 0, Qt.AlignVCenter)
+    lay.addStretch(1)
+    return container
+
+
+def enable_height_for_width(widget: QWidget) -> None:
+    """Flag ``widget`` as height-for-width so a PARENT layout reserves the
+    right amount of vertical space for it — needed at every widget boundary
+    between a :class:`FlowLayout` and the outermost layout, since each
+    ``addWidget()`` hop asks the WIDGET's own sizePolicy, not its layout's
+    (see FlowLayout's docstring)."""
+    policy = widget.sizePolicy()
+    policy.setHeightForWidth(True)
+    widget.setSizePolicy(policy)
+
+
+class FlowLayout(QLayout):
+    """A left-aligned layout that wraps its children onto new lines as the
+    container narrows, each item kept at its own natural size — the
+    ``.card`` grids in ui-audit_v2.html ("không kéo giãn lấp đầy hàng": cards
+    stay sized to their own content, never stretched to fill a row). Qt has
+    no built-in equivalent; this is the standard recipe (Qt's own C++
+    FlowLayout example, ported)."""
+
+    def __init__(self, parent=None, margin: int = 0, h_spacing: int = 8, v_spacing: int = 8):
+        super().__init__(parent)
+        self._h_spacing = h_spacing
+        self._v_spacing = v_spacing
+        self._items: list = []
+        self.setContentsMargins(margin, margin, margin, margin)
+        if parent is not None:
+            enable_height_for_width(parent)
+
+    def addItem(self, item) -> None:  # noqa: N802 - Qt override
+        self._items.append(item)
+
+    def count(self) -> int:  # noqa: N802 - Qt override
+        return len(self._items)
+
+    def itemAt(self, index: int):  # noqa: N802 - Qt override
+        return self._items[index] if 0 <= index < len(self._items) else None
+
+    def takeAt(self, index: int):  # noqa: N802 - Qt override
+        return self._items.pop(index) if 0 <= index < len(self._items) else None
+
+    def expandingDirections(self):  # noqa: N802 - Qt override
+        return Qt.Orientations(Qt.Orientation(0))
+
+    def hasHeightForWidth(self) -> bool:  # noqa: N802 - Qt override
+        return True
+
+    def heightForWidth(self, width: int) -> int:  # noqa: N802 - Qt override
+        return self._do_layout(QRect(0, 0, width, 0), test_only=True)
+
+    def setGeometry(self, rect) -> None:  # noqa: N802 - Qt override
+        super().setGeometry(rect)
+        self._do_layout(rect, test_only=False)
+
+    def sizeHint(self):  # noqa: N802 - Qt override
+        return self.minimumSize()
+
+    def minimumSize(self):  # noqa: N802 - Qt override
+        size = QSize()
+        for item in self._items:
+            size = size.expandedTo(item.minimumSize())
+        m = self.contentsMargins()
+        size += QSize(m.left() + m.right(), m.top() + m.bottom())
+        return size
+
+    def _do_layout(self, rect, test_only: bool) -> int:
+        m = self.contentsMargins()
+        effective = QRect(rect.x() + m.left(), rect.y() + m.top(),
+                          rect.width() - m.left() - m.right(),
+                          rect.height() - m.top() - m.bottom())
+        x, y = effective.x(), effective.y()
+        line_height = 0
+        for item in self._items:
+            hint = item.sizeHint()
+            next_x = x + hint.width() + self._h_spacing
+            if next_x - self._h_spacing > effective.right() and line_height > 0:
+                x = effective.x()
+                y = y + line_height + self._v_spacing
+                next_x = x + hint.width() + self._h_spacing
+                line_height = 0
+            if not test_only:
+                item.setGeometry(QRect(QPoint(x, y), hint))
+            x = next_x
+            line_height = max(line_height, hint.height())
+        return y + line_height - rect.y() + m.bottom()
+
+
+def style_card(frame: QFrame) -> None:
+    """Give a stat/budget card its surface. Flat by design: the raised surface
+    plus a hairline is what separates it from the page — the old drop shadow
+    made a grid of these look like it was hovering off the screen."""
+    p = current_palette()
+    frame.setStyleSheet(
+        f"QFrame {{ background: {p.surface}; border: 1px solid {p.border};"
+        f" border-radius: {p.radius_lg}px; }}")
+
+
 class StatCard(QFrame):
     """A titled value card (e.g. token count + its cost as the subtitle) —
     shared by Dashboard and Monitoring's token/cost displays."""
 
     def __init__(self):
         super().__init__()
-        self.setFrameShape(QFrame.StyledPanel)
-        self.setStyleSheet(
-            "QFrame { border: 1px solid rgba(140,146,152,0.35); border-radius: 16px; }")
-        shadow = QGraphicsDropShadowEffect(self)
-        shadow.setBlurRadius(18)
-        shadow.setOffset(0, 3)
-        shadow.setColor(QColor(0, 0, 0, 60))
-        self.setGraphicsEffect(shadow)
+        self.setFrameShape(QFrame.NoFrame)
+        style_card(self)
         lay = QVBoxLayout(self)
         self.title_lbl = QLabel("")
         self.title_lbl.setObjectName("hint")
         self.title_lbl.setStyleSheet("border: none;")
         self.value_lbl = QLabel("—")
-        self.value_lbl.setStyleSheet("border: none; font-size: 20px; font-weight: 700;")
+        self.value_lbl.setStyleSheet("border: none; font-size: 22px; font-weight: 600;")
         self.sub_lbl = QLabel("")
         self.sub_lbl.setObjectName("hint")
         self.sub_lbl.setStyleSheet("border: none;")
@@ -46,8 +157,10 @@ class StatCard(QFrame):
         # sizeHint hundreds of px wide, forcing its WHOLE grid column open and
         # throwing every card in the row out of alignment.
         self.sub_lbl.setWordWrap(True)
-        lay.addWidget(self.title_lbl)
+        # Number first, name under it — the figure is what the eye is looking
+        # for, and it is how the audit page's tiles are drawn.
         lay.addWidget(self.value_lbl)
+        lay.addWidget(self.title_lbl)
         lay.addWidget(self.sub_lbl)
 
     def set(self, title: str, value: str, sub: str = "") -> None:
@@ -55,6 +168,19 @@ class StatCard(QFrame):
         self.value_lbl.setText(value)
         self.sub_lbl.setText(sub)
 
+    def as_hero(self) -> "StatCard":
+        """Make this the headline card: bigger number, accent colour.
+
+        Used for the one figure a screen is really about (Dashboard's total
+        cost), so a row of otherwise identical tiles has a clear first read.
+        """
+        from ..theme import current_palette
+        p = current_palette()
+        self.value_lbl.setStyleSheet(
+            f"border: none; font-size: 34px; font-weight: 700; color: {p.accent};")
+        self.setObjectName("heroCard")
+        return self
+
 
 class BudgetCard(QFrame):
     """Remaining/Budget box — same card chrome as :class:`StatCard`, plus a
@@ -66,20 +192,14 @@ class BudgetCard(QFrame):
 
     def __init__(self):
         super().__init__()
-        self.setFrameShape(QFrame.StyledPanel)
-        self.setStyleSheet(
-            "QFrame { border: 1px solid rgba(140,146,152,0.35); border-radius: 16px; }")
-        shadow = QGraphicsDropShadowEffect(self)
-        shadow.setBlurRadius(18)
-        shadow.setOffset(0, 3)
-        shadow.setColor(QColor(0, 0, 0, 60))
-        self.setGraphicsEffect(shadow)
+        self.setFrameShape(QFrame.NoFrame)
+        style_card(self)
         lay = QVBoxLayout(self)
         self.title_lbl = QLabel("")
         self.title_lbl.setObjectName("hint")
         self.title_lbl.setStyleSheet("border: none;")
         self.value_lbl = QLabel("—")
-        self._value_style = "border: none; font-size: 20px; font-weight: 700;"
+        self._value_style = "border: none; font-size: 22px; font-weight: 600;"
         self.value_lbl.setStyleSheet(self._value_style)
         self.sub_lbl = QLabel("")
         self.sub_lbl.setObjectName("hint")
@@ -89,8 +209,9 @@ class BudgetCard(QFrame):
         # sizeHint hundreds of px wide, forcing its WHOLE grid column open and
         # throwing every card in the row out of alignment.
         self.sub_lbl.setWordWrap(True)
-        lay.addWidget(self.title_lbl)
+        # Same order as StatCard: the number first, its name under it.
         lay.addWidget(self.value_lbl)
+        lay.addWidget(self.title_lbl)
         lay.addWidget(self.sub_lbl)
 
         row = QHBoxLayout()
@@ -109,7 +230,7 @@ class BudgetCard(QFrame):
         self.title_lbl.setText(title)
         self.value_lbl.setText(value)
         self.value_lbl.setStyleSheet(
-            self._value_style + (" color: #E5484D;" if warn else ""))
+            self._value_style + (f" color: {current_palette().danger};" if warn else ""))
         self.sub_lbl.setText(sub)
 
 
@@ -148,6 +269,310 @@ def guard_wheel(root: QWidget) -> None:
         w.installEventFilter(_wheel_guard)
 
 
+def tidy_popup(combo) -> None:
+    """Make a drop-list show its options and nothing else.
+
+    Two platform habits to undo. macOS marks the current row with a checkmark,
+    drawn by the menu-style delegate a combo gets by default; the row is already
+    tinted by selection-background-color, so the tick says nothing twice and, in
+    a combo only as wide as "VN", covered the letters it was marking. Handing
+    the view a plain QStyledItemDelegate switches it to item-view painting,
+    where no such glyph exists.
+
+    And the popup inherits the combo's width unless told otherwise, which had
+    the project and provider names cut off here regardless of platform. So
+    measure the longest item — plus an indicator's worth of room, in case a
+    style still draws one — and set that as the view's minimum.
+    """
+    from PySide6.QtWidgets import QStyle, QStyledItemDelegate
+
+    view = combo.view()
+    combo.setItemDelegate(QStyledItemDelegate(combo))
+    fm = view.fontMetrics()
+    longest = max((fm.horizontalAdvance(combo.itemText(i))
+                   for i in range(combo.count())), default=0)
+    tick = combo.style().pixelMetric(QStyle.PM_IndicatorWidth, None, combo)
+    pad = combo.style().pixelMetric(QStyle.PM_FocusFrameHMargin, None, combo) * 2
+    view.setMinimumWidth(longest + tick + pad + 16)
+
+
+def ui_scale(widget: QWidget) -> float:
+    """How much bigger this machine draws things than the design baseline.
+
+    Breakpoints written as raw pixels only hold on the screen they were tuned
+    on. At 125%/150% display scaling Qt still reports logical pixels, but every
+    label, button and margin is taller — so the same layout needs MORE logical
+    width before it stops being cramped. Font height is the honest proxy for
+    that: it moves with the display scale and with a user's font-size choice,
+    both of which change how much fits.
+
+    1.0 at the 15px line height the layouts were measured against.
+    """
+    return max(0.75, min(2.5, widget.fontMetrics().height() / 15.0))
+
+
+class _NarrowGuard(QObject):
+    """Calls back when the WINDOW crosses a width threshold.
+
+    Watching the widget's own width does not work: a pane whose minimum width is
+    larger than the space available never reports being narrow — it just gets
+    clipped, which is the very problem being solved. The window always knows its
+    real size, so that is what gets watched.
+
+    A fold the user did by hand is never undone: auto-expand only reverses an
+    auto-collapse.
+    """
+
+    def __init__(self, owner: QWidget, threshold: int, apply):
+        super().__init__(owner)
+        self._owner = owner
+        self._threshold = threshold
+        self._apply = apply
+        self._auto = False          # True while WE are the ones holding it folded
+        self._window = None
+
+    def attach(self) -> None:
+        win = self._owner.window()
+        if win is not None and win is not self._owner and win is not self._window:
+            win.installEventFilter(self)
+            self._window = win
+            # Dragging the window to a monitor with different scaling changes
+            # how much fits without changing its width, so re-decide then too.
+            handle = win.windowHandle()
+            if handle is not None:
+                handle.screenChanged.connect(lambda *_a: self.check())
+        self.check()
+
+    def eventFilter(self, obj, ev):  # noqa: N802 - Qt override
+        if ev.type() == QEvent.Resize and obj is self._window:
+            self.check()
+        return super().eventFilter(obj, ev)
+
+    def check(self) -> None:
+        win = self._owner.window()
+        width = win.width() if win is not None else self._owner.width()
+        # The threshold is written for the baseline scale and grows with the
+        # machine's — see ui_scale().
+        narrow = width < self._threshold * ui_scale(self._owner)
+        if narrow == self._auto:
+            return
+        self._auto = narrow
+        self._apply(narrow)
+
+
+def narrow_guard(owner: QWidget, threshold: int, apply):
+    """Fold `owner`'s secondary panes below `threshold` px of window width.
+
+    ``apply(narrow: bool)`` does the folding. Call ``.attach()`` from showEvent.
+    """
+    return _NarrowGuard(owner, threshold, apply)
+
+
+class ToggleSwitch(QCheckBox):
+    """A checkbox drawn as an on/off switch.
+
+    Subclasses QCheckBox rather than replacing it, so every ``isChecked()`` /
+    ``setChecked()`` / ``stateChanged`` call site keeps working untouched — only
+    the painting changes. A switch reads as "this is on or off" where a tick box
+    reads as "this is selected", which is what these settings actually mean.
+    """
+
+    _W, _H = 34, 18
+
+    def __init__(self, text: str = "", parent=None):
+        super().__init__(text, parent)
+        self.setCursor(Qt.PointingHandCursor)
+
+    def sizeHint(self):  # noqa: N802 - Qt override
+        base = super().sizeHint()
+        base.setWidth(base.width() + self._W)
+        base.setHeight(max(base.height(), self._H + 4))
+        return base
+
+    def paintEvent(self, _e):  # noqa: N802 - Qt override
+        from ..theme import current_palette
+        p = current_palette()
+        painter = QPainter(self)
+        painter.setRenderHint(QPainter.Antialiasing)
+        y = (self.height() - self._H) // 2
+        track = QRectF(0, y, self._W, self._H)
+        on = self.isChecked()
+        enabled = self.isEnabled()
+        fill = QColor(p.accent_solid if on else p.border_strong)
+        if not enabled:
+            fill.setAlpha(110)
+        painter.setPen(Qt.NoPen)
+        painter.setBrush(fill)
+        painter.drawRoundedRect(track, self._H / 2, self._H / 2)
+        knob = self._H - 4
+        kx = self._W - knob - 2 if on else 2
+        painter.setBrush(QColor("#FFFFFF" if enabled else p.text_faint))
+        painter.drawEllipse(QRectF(kx, y + 2, knob, knob))
+        if self.text():
+            painter.setPen(QColor(p.text if enabled else p.text_faint))
+            painter.drawText(
+                QRectF(self._W + 8, 0, self.width() - self._W - 8, self.height()),
+                int(Qt.AlignLeft | Qt.AlignVCenter), self.text())
+        painter.end()
+
+
+class SegmentedControl(QWidget):
+    """Two-to-four choices shown side by side instead of hidden in a drop-list.
+
+    Exposes the slice of the QComboBox API this app's settings code uses
+    (addItem / findData / currentData / setCurrentIndex / currentIndexChanged),
+    so it drops into an existing form without touching the save/load paths.
+    """
+
+    currentIndexChanged = Signal(int)
+
+    def __init__(self, parent=None):
+        super().__init__(parent)
+        self._data: list = []
+        self._buttons: list = []
+        self._current = -1
+        lay = QHBoxLayout(self)
+        lay.setContentsMargins(0, 0, 0, 0)
+        lay.setSpacing(0)
+        self._lay = lay
+        lay.addStretch(1)
+
+    def addItem(self, text: str, data=None) -> None:  # noqa: N802 - Qt-style name
+        from PySide6.QtWidgets import QPushButton
+        btn = QPushButton(text)
+        btn.setObjectName("segItem")
+        btn.setCheckable(True)
+        btn.setCursor(Qt.PointingHandCursor)
+        index = len(self._buttons)
+        btn.clicked.connect(lambda _c=False, i=index: self.setCurrentIndex(i))
+        self._lay.insertWidget(index, btn)
+        self._buttons.append(btn)
+        self._data.append(data)
+        if self._current < 0:
+            self.setCurrentIndex(0)
+
+    def findData(self, value) -> int:  # noqa: N802
+        return self._data.index(value) if value in self._data else -1
+
+    def currentData(self):  # noqa: N802
+        return self._data[self._current] if 0 <= self._current < len(self._data) else None
+
+    def currentIndex(self) -> int:  # noqa: N802
+        return self._current
+
+    def count(self) -> int:
+        return len(self._buttons)
+
+    def setItemText(self, index: int, text: str) -> None:  # noqa: N802
+        if 0 <= index < len(self._buttons):
+            self._buttons[index].setText(text)
+
+    def setCurrentIndex(self, index: int) -> None:  # noqa: N802
+        if not (0 <= index < len(self._buttons)) or index == self._current:
+            for i, b in enumerate(self._buttons):
+                b.setChecked(i == self._current)
+            return
+        self._current = index
+        for i, b in enumerate(self._buttons):
+            b.setChecked(i == index)
+        self.currentIndexChanged.emit(index)
+
+
+def section_panels(sections, width: int = 260):
+    """Left list + right panel: pick a section, see that section only.
+
+    ``sections`` is [(label, widget)]. Returns (list_widget, stack) for the
+    caller to place side by side. Used by Settings and the Task editor so both
+    are navigated the same way, instead of one long scroll where you cannot
+    tell which group you are in or how many are left.
+    """
+    from PySide6.QtWidgets import QListWidget, QListWidgetItem, QStackedWidget
+
+    index = QListWidget()
+    index.setObjectName("sectionIndex")
+    index.setFrameShape(QListWidget.NoFrame)
+    index.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
+    index.setTextElideMode(Qt.ElideRight)
+    index.setWordWrap(False)
+
+    stack = QStackedWidget()
+    for label, widget in sections:
+        item = QListWidgetItem(label)
+        item.setToolTip(label)
+        index.addItem(item)
+        stack.addWidget(widget)
+    index.currentRowChanged.connect(stack.setCurrentIndex)
+    index.setCurrentRow(0)
+
+    natural = max(index.fontMetrics().horizontalAdvance(lab) for lab, _w in sections) + 36
+    index.setFixedWidth(max(120, min(width, natural)))
+    return index, stack
+
+
+def section_index(scroll, sections, width: int = 260):
+    """A clickable table of contents for a long scrolling dialog.
+
+    ``sections`` is [(label, anchor_widget)]. Clicking a row scrolls its anchor
+    into view; scrolling the dialog moves the highlight back. Purely navigation:
+    every field stays exactly where it was, in the same one scrolling column —
+    Settings and the Task editor were five stacked group boxes deep with no way
+    to tell what was further down.
+
+    Returns the QListWidget so the caller can place it.
+    """
+    from PySide6.QtWidgets import QListWidget, QListWidgetItem
+
+    index = QListWidget()
+    index.setObjectName("sectionIndex")
+    index.setFrameShape(QListWidget.NoFrame)
+    # Long section names (and 125%/150% display scaling) used to push a
+    # horizontal scrollbar into this list. It elides instead, with the full
+    # name on hover.
+    index.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff)
+    index.setTextElideMode(Qt.ElideRight)
+    index.setWordWrap(False)
+    for label, anchor in sections:
+        item = QListWidgetItem(label)
+        item.setToolTip(label)
+        item.setData(Qt.UserRole, anchor)
+        index.addItem(item)
+    index.setCurrentRow(0)
+    # Wide enough for the longest name at the CURRENT font — so the width grows
+    # with display scaling instead of eliding everything — but capped so it
+    # never eats the form beside it. `width` is that cap, not a fixed size.
+    natural = max(index.fontMetrics().horizontalAdvance(lab) for lab, _a in sections) + 36
+    index.setFixedWidth(max(120, min(width, natural)))
+
+    def _jump(item):
+        anchor = item.data(Qt.UserRole)
+        if anchor is not None:
+            # Scroll so the section's top edge lands at the top of the viewport,
+            # rather than merely "somewhere visible".
+            bar = scroll.verticalScrollBar()
+            top = anchor.mapTo(scroll.widget(), anchor.rect().topLeft()).y()
+            bar.setValue(min(top, bar.maximum()))
+
+    index.itemClicked.connect(_jump)
+
+    def _follow(value: int):
+        """Highlight the last section whose top has passed the viewport top."""
+        row = 0
+        for i in range(index.count()):
+            anchor = index.item(i).data(Qt.UserRole)
+            if anchor is None:
+                continue
+            top = anchor.mapTo(scroll.widget(), anchor.rect().topLeft()).y()
+            if top <= value + 4:
+                row = i
+        if index.currentRow() != row:
+            blocked = index.blockSignals(True)
+            index.setCurrentRow(row)
+            index.blockSignals(blocked)
+
+    scroll.verticalScrollBar().valueChanged.connect(_follow)
+    return index
+
+
 class CollapseStrip(QWidget):
     """The slim bar shown in place of a collapsed side panel.
 
@@ -185,15 +610,16 @@ class CollapseStrip(QWidget):
         p = QPainter(self)
         p.setRenderHint(QPainter.Antialiasing)
         w = self.width()
-        accent = QColor(ACCENT) if self._hover else QColor("#8b8d98")
+        tok = current_palette()
+        accent = QColor(tok.accent) if self._hover else QColor(tok.text_faint)
 
         # A small rounded "button" at the top carries the expand arrow so the
         # collapsed panel always shows a clear, clickable affordance.
         bw = min(w - 2.0, 16.0)
         btn = QRectF((w - bw) / 2.0, 6.0, bw, 18.0)
-        p.setPen(QPen(QColor(139, 144, 150, 130), 1.0))
-        p.setBrush(QColor(155, 160, 166, 70) if self._hover else QColor(155, 160, 166, 32))
-        p.drawRoundedRect(btn, 4.0, 4.0)
+        p.setPen(QPen(QColor(tok.border_strong), 1.0))
+        p.setBrush(QColor(tok.hover if self._hover else tok.surface))
+        p.drawRoundedRect(btn, float(tok.radius_sm), float(tok.radius_sm))
 
         cx = w / 2.0
         cy = btn.center().y()
@@ -211,7 +637,7 @@ class CollapseStrip(QWidget):
 
         # thin handle line below the button
         p.setPen(Qt.NoPen)
-        p.setBrush(QColor(155, 160, 166, 90))
+        p.setBrush(QColor(tok.border_strong))
         line_w = 2.0
         x = (w - line_w) / 2.0
         ltop = btn.bottom() + 6.0
@@ -226,7 +652,12 @@ class PlanSection(QWidget):
     close). Hidden until it has steps; updated in place as the agent calls
     ``update_plan``."""
 
-    _COLORS = {STEP_RUNNING: ACCENT, STEP_DONE: "#6fe3a4", STEP_ERROR: "#ef6368"}
+    @staticmethod
+    def _step_color(status: str) -> str | None:
+        """Row text colour per step status; None leaves the default. Resolved
+        per call so it follows a live theme switch."""
+        p = current_palette()
+        return {STEP_RUNNING: p.accent, STEP_DONE: p.success, STEP_ERROR: p.danger}.get(status)
 
     @staticmethod
     def _step_icon(status: str):
@@ -272,7 +703,7 @@ class PlanSection(QWidget):
                 continue
             status = str((s or {}).get("status", STEP_PENDING)).strip().lower()
             item = QListWidgetItem(self._step_icon(status), f"  {title}")
-            color = self._COLORS.get(status)
+            color = self._step_color(status)
             if color:
                 item.setForeground(QColor(color))
             self.list.addItem(item)
@@ -308,7 +739,11 @@ class CollapsibleSection(QWidget):
 
     activated = Signal(str)  # emits the path of a clicked item
 
-    def __init__(self, title: str, max_height: int = 130):
+    def __init__(self, title: str, max_height: int | None = 130):
+        """``max_height`` caps the list so it scrolls instead of growing
+        (the default, e.g. for a section sharing space with siblings).
+        ``None`` instead lets it expand to fill whatever room its parent
+        layout hands it — for a section that owns the whole panel."""
         super().__init__()
         self._title = title
         self._paths: list[str] = []
@@ -325,11 +760,14 @@ class CollapsibleSection(QWidget):
         lay.addWidget(self.header)
 
         self.list = QListWidget()
-        self.list.setMaximumHeight(max_height)   # scrolls when longer
+        if max_height is not None:
+            self.list.setMaximumHeight(max_height)   # scrolls when longer
+        else:
+            self.list.setSizePolicy(QSizePolicy.Preferred, QSizePolicy.Expanding)
         self.list.setVisible(False)
         self.list.itemActivated.connect(self._emit)
         self.list.itemClicked.connect(self._emit)
-        lay.addWidget(self.list)
+        lay.addWidget(self.list, 1 if max_height is None else 0)
 
         self.setVisible(False)
         self._update_header()
diff --git a/ui/workspace_tab.py b/ui/workspace_tab.py
index 2830377..533e760 100644
--- a/ui/workspace_tab.py
+++ b/ui/workspace_tab.py
@@ -32,12 +32,32 @@ from .osutil import open_folder
 from .widgets import CollapseStrip
 
 
+class _ProjectRow(QWidget):
+    """A project in the list: its name, and under it how much is in it.
+
+    The drawing gives every row a second line — "2 đoạn chat · 3 task" — which
+    is the only thing on this screen that says a project holds anything at all.
+    """
+
+    def __init__(self, name: str, counts: str):
+        super().__init__()
+        lay = QVBoxLayout(self)
+        lay.setContentsMargins(6, 4, 6, 4)
+        lay.setSpacing(0)
+        title = QLabel(name)
+        sub = QLabel(counts)
+        sub.setObjectName("hint")
+        lay.addWidget(title)
+        lay.addWidget(sub)
+
+
 class WorkspaceTab(QWidget):
     status_message = Signal(str)
     open_chat = Signal(str, dict)      # kind, conversation — open a thread in Cowork
     new_chat = Signal(str)             # project_id — start a new thread in this project
     projects_changed = Signal()        # created/edited/deleted → History regroups
     subtabs_changed = Signal()         # visible sub-tabs changed → left-nav children refresh
+    project_selected = Signal(str)     # project_id — the rail's picker follows this
 
     # ---- nav integration: the sub-tabs are driven from the left nav rail -----
     def nav_subtabs(self):
@@ -50,10 +70,37 @@ class WorkspaceTab(QWidget):
         return [(self.tabs.tabText(i), i, icons.get(i, "chevron-right"))
                 for i in range(self.tabs.count()) if self.tabs.isTabVisible(i)]
 
+    def nav_entries(self):
+        """(label, index, icon_name, enabled) for EVERY sub-tab, hidden ones
+        included.
+
+        The rail lists all five all the time and greys out the ones the project
+        gate is currently closing (Cowork, GraphRAG) instead of removing them —
+        same gate, shown rather than hidden, so the menu stops changing shape
+        under the user's hand. See nav_subtabs() for the visible-only view.
+        """
+        icons = {self._project_tab_idx: "folder", self._cowork_tab_idx: "chat",
+                 self._co4e_tab_idx: "flow", self._folder_tab_idx: "folder",
+                 self._graphrag_tab_idx: "graph"}
+        return [(self.tabs.tabText(i), i, icons.get(i, "chevron-right"),
+                 self.tabs.isTabVisible(i))
+                for i in range(self.tabs.count())]
+
+    def subtab_available(self, index: int) -> bool:
+        """False while the project gate is holding this sub-tab shut.
+
+        The rail greys those rows out, but that only guards the rail. This lets
+        every other route ask the same question of the same state.
+        """
+        return bool(0 <= index < self.tabs.count() and self.tabs.isTabVisible(index))
+
     def select_subtab(self, index: int) -> None:
         if 0 <= index < self.tabs.count():
             self.tabs.setCurrentIndex(index)
 
+    def current_subtab(self) -> int:
+        return self.tabs.currentIndex()
+
     def hide_tab_bar(self) -> None:
         """Hide the in-content tab strip (the nav rail drives the sub-tabs now),
         so the content area is as large as possible."""
@@ -63,6 +110,9 @@ class WorkspaceTab(QWidget):
         super().__init__()
         self.ctx = ctx
         self._current_id = ""
+        # True once the user asks for the full History panel; until then Cowork
+        # opens with it folded, as the drawing lays the screen out.
+        self._history_opened = False
         # Shared widgets embedded as per-project sub-tabs (None in unit tests
         # that only drive project management).
         self._cowork = cowork
@@ -70,12 +120,23 @@ class WorkspaceTab(QWidget):
         self._sidebar = sidebar
 
         root = QVBoxLayout(self)
+        # Title row — the drawing puts "+ Project mới" up here beside the title,
+        # not at the foot of the project list where it read as belonging to the
+        # list's own controls.
         self._header = QLabel()
         self._header.setStyleSheet("font-weight:700; font-size:15px;")
+        self._new_btn = QPushButton()
+        self._new_btn.setIcon(icon("plus"))
+        self._new_btn.setObjectName("primary")
+        self._new_btn.clicked.connect(self._create)
+        title_row = QHBoxLayout()
+        title_row.addWidget(self._header)
+        title_row.addStretch(1)
+        title_row.addWidget(self._new_btn)
+        root.addLayout(title_row)
         self._hint = QLabel()
         self._hint.setObjectName("hint")
         self._hint.setWordWrap(True)
-        root.addWidget(self._header)
         root.addWidget(self._hint)
 
         self._split = QSplitter(Qt.Horizontal)
@@ -87,6 +148,9 @@ class WorkspaceTab(QWidget):
         ll = QVBoxLayout(left)
         ll.setContentsMargins(0, 0, 0, 0)
         left_hdr = QHBoxLayout()
+        self._projects_hdr = QLabel()
+        self._projects_hdr.setObjectName("navSectionHdr")
+        left_hdr.addWidget(self._projects_hdr)
         self._proj_collapse_btn = QPushButton()
         self._proj_collapse_btn.setIcon(collapse_left_icon())
         self._proj_collapse_btn.setFixedWidth(28)
@@ -98,15 +162,13 @@ class WorkspaceTab(QWidget):
         self.project_list.currentItemChanged.connect(self._on_select)
         ll.addWidget(self.project_list, 1)
         btns = QHBoxLayout()
-        self._new_btn = QPushButton()
-        self._new_btn.setIcon(icon("plus"))
-        self._new_btn.setObjectName("primary")
-        self._new_btn.clicked.connect(self._create)
+        # Delete stays under the list it acts on. The drawing does not show it,
+        # but it does not show it moved either, and dropping a control is not
+        # something a layout pass gets to do.
         self._del_btn = QPushButton()
         self._del_btn.setIcon(icon("trash"))
         self._del_btn.clicked.connect(self._delete)
-        btns.addWidget(self._new_btn, 1)
-        btns.addWidget(self._del_btn)
+        btns.addWidget(self._del_btn, 1)
         ll.addLayout(btns)
         self._projects_panel = left
 
@@ -127,6 +189,13 @@ class WorkspaceTab(QWidget):
         # Project comes FIRST; Cowork + GraphRAG only appear once a project is
         # actually selected (see _update_tab_visibility).
         self.tabs = QTabWidget()
+        # A QTabWidget's minimum width is the MAXIMUM over every page, hidden
+        # ones included — so Co4E (the widest, ~1180px) was setting the floor for
+        # Project and Cowork as well, and through them for the whole window,
+        # which then refused to be smaller than 1453px on any screen. An explicit
+        # minimum overrides that: each page still gets whatever width is going,
+        # and the pages that are not on screen no longer vote.
+        self.tabs.setMinimumWidth(560)
         self._project_tab_idx = self.tabs.addTab(self._build_project_tab(), tr("workspace.tab_project"))
         self._cowork_tab_idx = -1
         self._graphrag_tab_idx = -1
@@ -205,9 +274,14 @@ class WorkspaceTab(QWidget):
         rl.addWidget(self._instr_lbl)
         rl.addWidget(self.instr_edit)
 
+        self._folder_hdr = QLabel()
+        rl.addWidget(self._folder_hdr)
         folder_row = QHBoxLayout()
-        self.folder_lbl = QLabel()
-        self.folder_lbl.setObjectName("hint")
+        # The drawing shows the path in a field, not as grey caption text. A
+        # read-only line edit looks like one and, unlike a label, lets the path
+        # be selected and copied.
+        self.folder_lbl = QLineEdit()
+        self.folder_lbl.setReadOnly(True)
         self._browse_btn = QPushButton()
         self._browse_btn.setIcon(icon("folder"))
         self._browse_btn.clicked.connect(self._pick_folder)
@@ -219,6 +293,7 @@ class WorkspaceTab(QWidget):
         folder_row.addWidget(self._open_btn)
         rl.addLayout(folder_row)
 
+        rl.addStretch(1)      # the drawing floats Lưu project at the bottom
         save_row = QHBoxLayout()
         self._save_btn = QPushButton()
         self._save_btn.setIcon(icon("save"))
@@ -239,11 +314,20 @@ class WorkspaceTab(QWidget):
         sb = self._sidebar
         sb.open_chat.connect(self._on_sidebar_open)
         sb.new_chat.connect(self._on_sidebar_new)
-        sb.collapse_requested.connect(lambda: self._set_sidebar_collapsed(True))
-        sb.expand_requested.connect(lambda: self._set_sidebar_collapsed(False))
+        sb.collapse_requested.connect(lambda: self._on_history_fold(True))
+        sb.expand_requested.connect(lambda: self._on_history_fold(False))
         sb.refresh_requested.connect(self._on_sidebar_refresh)
         sb.history_changed.connect(self._reload_threads)
 
+    def _on_history_fold(self, collapsed: bool) -> None:
+        """Its chevron closes the panel away, back to the drawn layout."""
+        self._history_opened = not collapsed
+        if collapsed:
+            self._sidebar.setVisible(False)
+            self._apply_pane_visibility()
+        else:
+            self._set_sidebar_collapsed(False)
+
     def _set_sidebar_collapsed(self, collapsed: bool) -> None:
         """Collapse/expand History sidebar and redistribute splitter space so
         the Cowork chat area fills the freed width (same pattern as
@@ -321,17 +405,44 @@ class WorkspaceTab(QWidget):
         on_project = idx == self._project_tab_idx
         on_cowork = self._cowork_tab_idx >= 0 and idx == self._cowork_tab_idx
         self._projects_pane.setVisible(on_project)
+        # "Workspace — Projects" and its three-line explanation describe the
+        # PROJECT screen, but were drawn above every sub-tab — ~90px of vertical
+        # space taken from Co4E's canvas and Folder's tree on every laptop
+        # screen. Shown where they apply; the text itself is unchanged.
+        self._header.setVisible(on_project)
+        # The title row sits above the sub-tabs, so everything on it has to
+        # follow the same rule the title does — moving + Project mới up here put
+        # it in the corner of Cowork, Co4E, Folder and GraphRAG as well.
+        self._new_btn.setVisible(on_project)
+        # ...and the explanation only while there is nothing to explain against:
+        # the drawing heads a populated screen with the title alone.
+        self._hint.setVisible(on_project and self.project_list.count() == 0)
+        narrow = getattr(self, "_is_narrow", False)
         if self._sidebar is not None:
-            self._sidebar.setVisible(on_cowork)
-            # Auto-expand History when entering Cowork tab so it's always usable
-            if on_cowork:
+            # Cowork is two columns in the drawing — transcript and files — with
+            # no history pane and no strip where one used to be. The relocation
+            # table is explicit: History moves to Sidebar ▸ RECENTS, "giữ, dễ
+            # tới hơn". So the panel is not on this screen at all until asked
+            # for: "Tất cả project…" in RECENTS brings it in, since search,
+            # filters, pin, rename and multi-select delete live only there.
+            self._sidebar.setVisible(on_cowork and self._history_opened)
+            if on_cowork and self._history_opened:
                 self._sidebar.set_collapsed(False)
         # QSplitter ignores hidden panes, but the freed width isn't handed to
         # the remaining panes deterministically — set explicit sizes after any
         # pane toggle (same lesson as _set_projects_collapsed).
         total = sum(self._split.sizes()) or 1300
-        proj_w = 260 if on_project else 0
-        hist_w = 240 if (on_cowork and self._sidebar is not None) else 0
+        # A collapsed pane must be given the STRIP width here, not its open
+        # width: this ran after every tab change and handed History a flat
+        # 240px even while it was folded to an 18px strip, leaving ~220px of
+        # dead space beside the chat on a small screen.
+        strip_w = CollapseStrip.WIDTH + 2
+        proj_w = 0
+        if on_project:
+            proj_w = strip_w if self._projects_strip.isVisible() else 260
+        hist_w = 0
+        if on_cowork and self._sidebar is not None:
+            hist_w = strip_w if self._sidebar.is_collapsed() else 240
         if self._split.count() >= 3:
             self._split.setSizes([proj_w, hist_w, max(1, total - proj_w - hist_w)])
         else:
@@ -341,6 +452,8 @@ class WorkspaceTab(QWidget):
     def _retranslate(self) -> None:
         self._header.setText(tr("workspace.header"))
         self._hint.setText(tr("workspace.hint"))
+        self._projects_hdr.setText(tr("workspace.projects_heading").upper())
+        self._folder_hdr.setText(tr("workspace.folder_label"))
         self._new_btn.setText(tr("workspace.new_project"))
         self._del_btn.setText(tr("workspace.delete"))
         self._name_lbl.setText(tr("workspace.name"))
@@ -365,6 +478,38 @@ class WorkspaceTab(QWidget):
             self.tabs.setTabText(self._graphrag_tab_idx, tr("workspace.tab_graphrag"))
 
     # ---- project list collapse (same pattern as History / GraphRAG Agent panel) --
+    # Below this window width the three panes (projects 260 + history 240 +
+    # the sub-page, which alone wants ~1245px on Cowork) no longer fit and Qt
+    # clips them instead of shrinking. Measured with tools/check_responsive.py.
+    _NARROW = 1500
+
+    def showEvent(self, e):  # noqa: N802 - Qt override
+        super().showEvent(e)
+        if getattr(self, "_narrow", None) is None:
+            from .widgets import narrow_guard
+            self._narrow = narrow_guard(self, self._NARROW, self._apply_narrow)
+        self._narrow.attach()
+
+    def _apply_narrow(self, narrow: bool) -> None:
+        """Fold the two side panes on a small screen so the sub-page keeps its
+        width; unfold them when the window grows back.
+
+        Nothing becomes unreachable: both panes leave their usual collapse strip
+        behind, and the project picker + RECENTS in the rail cover the same
+        ground while they are folded.
+        """
+        self._is_narrow = narrow
+        self._set_projects_collapsed(narrow)
+        if self._sidebar is not None:
+            self._set_sidebar_collapsed(narrow)
+        # The chat's Files pane (~300px) is the other thing that pushes Cowork
+        # past the window; it has the same collapse strip to come back from.
+        if self._cowork is not None and hasattr(self._cowork, "_set_io_collapsed"):
+            self._cowork._set_io_collapsed(narrow)
+        if not narrow:
+            # Re-apply the per-tab rules the two calls above just overrode.
+            self._apply_pane_visibility()
+
     def _set_projects_collapsed(self, collapsed: bool) -> None:
         strip_w = CollapseStrip.WIDTH + 2
         self._projects_panel.setVisible(not collapsed)
@@ -406,21 +551,48 @@ class WorkspaceTab(QWidget):
         from ..core.projects import list_projects
 
         keep = self._current_id
+        counts = self._project_counts()
         self.project_list.blockSignals(True)
         self.project_list.clear()
         row_to_select = 0
         for i, p in enumerate(list_projects()):
-            item = QListWidgetItem(p.name)
+            chats, tasks = counts.get(p.project_id, (0, 0))
+            # No text on the item: the row widget paints the name, and setting
+            # both drew it twice, one string ghosting the other.
+            item = QListWidgetItem()
             item.setData(Qt.UserRole, p.project_id)
             if p.description:
                 item.setToolTip(p.description)
             self.project_list.addItem(item)
+            row = _ProjectRow(p.name, tr("workspace.counts", chats=chats, tasks=tasks))
+            item.setSizeHint(row.sizeHint())
+            self.project_list.setItemWidget(item, row)
             if p.project_id == keep:
                 row_to_select = i
         self.project_list.blockSignals(False)
         self.project_list.setCurrentRow(row_to_select)
+        # The drawing heads a populated screen with the title alone; the
+        # explanation is what an EMPTY one says instead of showing nothing.
+        self._hint.setVisible(self.project_list.count() == 0)
         self._load_current()
 
+    @staticmethod
+    def _project_counts():
+        """{project_id: (chats, tasks)} — read once per refresh, not per row."""
+        from ..core.history import list_conversations
+        from ..core.tasks import list_tasks
+
+        out: dict = {}
+        for conv in list_conversations():
+            pid = conv.get("project_id") or "default"
+            chats, tasks = out.get(pid, (0, 0))
+            out[pid] = (chats + 1, tasks)
+        for task in list_tasks():
+            pid = task.get("project_id") or "default"
+            chats, tasks = out.get(pid, (0, 0))
+            out[pid] = (chats, tasks + 1)
+        return out
+
     def _selected_id(self) -> str:
         item = self.project_list.currentItem()
         return item.data(Qt.UserRole) if item else ""
@@ -474,6 +646,94 @@ class WorkspaceTab(QWidget):
             self._bind_project(pid)
         finally:
             self._set_tabs_busy(False)
+        # The rail's project picker mirrors this selection — it is a second view
+        # of the same state, never a second source of truth.
+        self.project_selected.emit(pid)
+
+    # ---- rail integration -------------------------------------------------
+    def project_choices(self):
+        """(name, project_id) for the rail picker, in the list's own order.
+
+        Read from the store, which is what the list is built from — reading
+        item.text() coupled the picker to how a row happens to be drawn, and
+        when rows became widgets the picker went blank: every project showed
+        as a bare folder glyph with no name.
+        """
+        from ..core.projects import list_projects
+
+        return [(p.name, p.project_id) for p in list_projects()]
+
+    def selected_project_id(self) -> str:
+        return self._selected_id()
+
+    def choose_project(self, project_id: str) -> bool:
+        """Select a project by id — the same path the list row takes."""
+        return self._select_project_row(project_id)
+
+    def recent_threads(self, limit: int = 5):
+        """The active project's most recent conversations, newest first.
+
+        Scoped to the project on purpose: history is stored inside the project's
+        own folder (config.history_dir() follows the selection) and the History
+        pane groups by project. A flat, cross-project recents list would quietly
+        drop that scoping.
+        """
+        from ..core.history import list_conversations
+
+        pid = self._current_id
+        if not pid:
+            return []
+        try:
+            convos = list_conversations(self.ctx.config.history_dir())
+        except Exception:                                        # noqa: BLE001
+            return []
+        out = []
+        for meta in convos:
+            if (meta.get("project_id", "") or "default") != pid:
+                continue
+            out.append({
+                "title": meta.get("title") or tr("sidebar.empty"),
+                "path": str(meta["path"]),
+                "kind": meta.get("kind", "") or "cowork",
+                "pinned": bool(meta.get("pinned", False)),
+                "session_id": meta.get("session_id", ""),
+            })
+            if len(out) >= limit:
+                break
+        return out
+
+    def open_thread(self, path: str, kind: str = "cowork") -> bool:
+        """Open a conversation by file path — the same route the History pane's
+        own click takes (load_conversation → _on_sidebar_open)."""
+        from ..core.history import load_conversation
+
+        try:
+            conv = load_conversation(path)
+        except Exception:                                        # noqa: BLE001
+            return False
+        self._on_sidebar_open(kind, conv)
+        return True
+
+    def show_history_pane(self) -> None:
+        """Bring the full History panel into view (un-collapsing it if needed).
+
+        The rail's recents list is a shortcut, not a replacement: search,
+        filters, pin, rename, multi-select delete and the context menu all still
+        live in this panel.
+        """
+        self._history_opened = True
+        self._show_cowork_tab()
+        self._sidebar.setVisible(True)
+        self._set_sidebar_collapsed(False)
+
+    def start_new_chat(self) -> None:
+        """Start a new thread in the current project and show it.
+
+        Exactly what the History pane's own new-chat button does
+        (_on_sidebar_new); the rail button is a second door to the same room,
+        not a second implementation.
+        """
+        self._on_sidebar_new("cowork")
 
     def _set_tabs_busy(self, busy: bool) -> None:
         for idx in (self._cowork_tab_idx, self._graphrag_tab_idx):