NamPDTandClaude Opus 5
b6dee044c9
Two things differ between machines and only one of them is width: a 4K panel
has more pixels, while a 125%/150% display has the same logical pixels holding
LESS, because every label and margin is taller. Breakpoints written as raw
pixels only hold on the machine they were tuned on.
* ui_scale() derives a factor from font height (1.0 at the 15px line the
layouts were measured against) and every narrow-guard threshold is
multiplied by it, so panes fold when the content is cramped rather than
when a number is crossed.
* The window takes a share of the available screen (80% × 85%) with the old
1180×760 as the floor, instead of opening at that size on any monitor.
* Moving the window to another screen re-pins the assistant and re-decides
the fold, since the new screen's work area and scaling may differ.
Found by tools/check_multi_screen.py, which walks 5 window sizes × 3 font
scales:
* At 150%, Schedule was clipped on 1280 and 1366 screens and the window's
own minimum grew to 1459px — wider than a 1280 laptop, so the app could
not fit at all. The cause was not the lanes: the one-line lane-count
summary in the header reported a sizeHint wide enough to set the minimum
width of the entire window. It now yields first (its text stays in the
tooltip); the window minimum drops 1459 → 752 and holds there at every
scale.
Also: these checkers exited 0xC0000409 from a Qt teardown crash AFTER printing
their verdict. check_probes_bite decides whether a probe caught its mutation by
reading exit codes, so a crash would have counted as "caught" — the round could
have passed while proving nothing. They now flush and os._exit with the real
verdict, and round 5 still catches all six mutations.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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/.