779cc6cb49
Three small but high-signal changes that came out of an audit of how
much Studio surface CI actually exercises:
1. Every studio-*-smoke.yml workflow now uploads its artifacts on
`if: always()` instead of `if: failure()`. On green runs the
screenshots + studio.log are now reviewable in the Actions UI,
which closes the "passed but the UI is silently broken" hole.
SHA-pinned to actions/upload-artifact@v4.6.2 across all 7 upload
steps (was a mix of @v4 unpinned + the SHA-pin).
2. /api/system and /api/system/hardware now require a Bearer token
(Depends(get_current_subject)). Today they leak Python version,
GPU name, total memory, and the ML package set without auth --
fine on a single-user Tauri box, not fine on -H 0.0.0.0 / Colab
/ a Tauri-relayed setup. /api/system/gpu-visibility was already
gated; now /api/system + /api/system/hardware match it.
3. Path filters + health-wait plumbing:
- studio-ui-smoke.yml now triggers on tests/studio/** so a PR
that ONLY edits the Playwright test file actually runs UI CI.
- studio-tauri-smoke.yml now triggers on unsloth_cli/** so a CLI
rename or signature change that breaks Tauri's spawned
`unsloth studio` actually runs Tauri CI.
- The 60s `/api/health` wait loop in studio-ui-smoke.yml +
studio-inference-smoke.yml (3 jobs) is now 180s. Cold runners
with venv warm-up + lazy imports have been observed exceeding
60s, and the cost of a false-fail is much higher than two
extra minutes of waiting.
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|---|---|---|
| .. | ||
| backend | ||
| frontend | ||
| src-tauri | ||
| __init__.py | ||
| install_llama_prebuilt.py | ||
| install_python_stack.py | ||
| LICENSE.AGPL-3.0 | ||
| setup.bat | ||
| setup.ps1 | ||
| setup.sh | ||
| Unsloth_Studio_Colab.ipynb | ||