vudt15andClaude Sonnet 5 ae4fe72b2e feat(R05): tool capability registry, unified policy gateway, MCP lifecycle manager
EPIC R05 (Team Hoa) - one security/approval path for every tool call.

R05-T01 domain/tools/{tool_descriptor,tool_registry}.py
  ToolCapability (READ/WRITE/EXECUTE/NETWORK, composable) + ToolDescriptor +
  ToolRegistry, replacing three independently-maintained gating lists
  (core/tools.py::WRITE_TOOLS, code_agent.py's WRITE_TOOLS|MS365_WRITE_TOOLS,
  chat_agent.py's literal ("run_command","install_package") tuple) with one
  capability lookup.

R05-T02 infrastructure/filesystem/{file_tools,command_tools,fetch_tools,tool_context}.py
  core/tools.py's execute_tool if/elif chain split into per-concern modules.
  core/tools.py is now a strangler-fig shim: re-exports ToolContext/ToolError,
  dispatches through a {name: handler} dict built from the split modules.
  core/tools.py: 566 -> 291 lines.

R05-T03 application/conversations/tool_policy_gateway.py
  ToolPolicyGateway.allow(name, gate, payload) - capability-driven ALLOW vs
  ask-the-gate decision. Wired into both chat_agent.py::run_cowork and
  code_agent.py::run_code, replacing their separate hand-rolled checks.
  Verified equivalent to the old hardcoded sets by test.

R05-T04 (behavior change, not just refactor)
  MCP/connector tools (core/mcp_client.py, core/ext_connectors.py) reached
  chat_agent.py via extra_executor(name, args) with NO permission check at
  all. They are now tagged with a conservative default capability
  (WRITE|EXECUTE|NETWORK - no MCP tool self-declares risk) and routed through
  the SAME ToolPolicyGateway as built-ins. When "confirm before running
  commands" is on, MCP/connector calls now prompt like run_command already
  did - a real gap closed, and a user-visible change worth calling out.

R05-T05 infrastructure/mcp/mcp_source_manager.py
  McpToolSourceManager extracts the connection cache/lock/start-or-skip
  lifecycle out of state.py::AppContext (_mcp_connections/_conn_lock) into a
  standalone, directly-testable class. AppContext.build_mcp_tools and
  _ms365_builtin_connection now call ensure()/stop(); _ext_connections
  (unified Connectors) is out of scope for this task and keeps its own lock.

New tests: tests/unit/test_tool_registry_and_policy.py,
test_code_agent_tool_policy.py, test_cowork_extra_tool_policy.py,
test_mcp_source_manager.py (26 new tests).

Suite: 254 passed, 4 pre-existing failures unrelated to R05 (2 EPIC R02
config-security, 2 environment-dependent routing tests - see checklist).
check_imports: PASS. All new files < 400 LOC.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-08-21 22:20:57 +09:00
2026-08-20 12:12:56 +00:00
2026-08-20 12:12:56 +00:00
2026-08-20 12:12:56 +00:00
2026-08-20 12:12:56 +00:00
2026-08-20 12:12:56 +00:00
2026-08-20 12:12:56 +00:00

Cowork Local

Cowork Local is the internal AI cowork desktop platform owned by the Cowork Team. It provides the Cowork runtime, workspace and agent experiences, MCP/connectors, security controls, and model routing foundation.

The Cowork Team owns this product and its stable branch. The FSG AI Core Team contributes selected reusable capabilities through branches and Pull Requests; it is not the owner or final merger of this repository.

Quick start

The imported application is a Python/PySide6 package. Run it from the directory that contains cowork_local:

python -m cowork_local

The source snapshot does not include a complete runtime dependency manifest. Use the Cowork Team's supported runtime environment until that packaging contract is documented. The reliable automated test surface currently checked by CI is:

python -m pip install -r cowork_local/requirements-test.txt
python -m pytest cowork_local/tests -q

When already inside this repository, run python -m pytest tests -q.

Configuration and runtime data live under ~/.cowork_local/. Provider keys and local unlock codes must be supplied through environment variables or an approved secret manager; see .env.example.

Contributing

Start with START_CONTRIBUTING.md, then read CONTRIBUTING.md. Core AI task execution remains in fsg-ai-core-assets; source changes are reviewed as Pull Requests in this repository.

Security concerns should follow SECURITY.md. Ownership and completion rules are documented under docs/governance/.

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Cowork Local — internal AI cowork platform and shared foundation for FSG AI capabilities.
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