c4c9e2aeec
Twelve actionable P1/P2 findings from round 28 reviewer aggregate. Skipped #3 (studio.txt huggingface-hub bump) because the empirical CI evidence in round 26 contradicts that suggestion: bumping the pin there breaks installs that apply constraints.txt (transformers==4.57.6 requires hub<1.0). The actual broken combo only happens via the --no-deps no-torch path which is already bumped in no-torch-runtime.txt and pyproject.toml huggingfacenotorch. 1. utils/datasets/llm_assist.py: split _HELPER_ADVISOR_REFCOUNT into CACHE vs GPU counters. helper_advisor_owns_repo (used by delete-cache) reads CACHE; helper_advisor_busy (used by public handoffs) reads GPU. precache_helper_gguf now registers with gpu_owner=False so a background pre-cache download does not 503 every chat / training / export / diffusion load. 2. utils/datasets/llm_assist.py: introduce _HELPER_ADVISOR_START_LOCK and wrap the busy precheck + register pair in _run_with_helper and _run_multi_pass_advisor. Two concurrent helper / advisor invocations could both pass _gpu_workload_busy_for_helper before either registered, then OOM each other. 3. utils/datasets/llm_assist.py: _gpu_workload_busy_for_helper now also returns True when another helper/advisor already holds the private LlamaCppBackend. 4. routes/inference.py: add _raise_if_helper_advisor_busy(workload) that 503s when AI Assist owns the GPU. Wire it into both chat load branches (GGUF + safetensors) BEFORE the existing _release_export_for / _release_diffusion_for calls so we do not first tear down an idle export / diffusion just to fail on the helper check. 5. routes/training.py + routes/export.py + diffusion.load_model: call the helper-busy check FIRST before any release helper fires. Mirrors the chat-load ordering. 6. routes/inference.py _release_llama_for: poll loading_model_identifier for up to 5 s after unload_model() so a cancelled pending GGUF download has time to clear its identifier. Mirrors the same wait round 26 added to the explicit /api/inference/unload route. 7. core/inference/diffusion.py _release_chat_backend_for_diffusion: same 5 s settling wait for cancelled pending GGUF downloads. 8. models/inference.py LoadRequest: validate every llama_extra_args entry through _no_control_chars + _reject_embedded_hf_token. The list was forwarded verbatim to a logged llama-server command line, so a smuggled control char or hf_... token would land in logs and subprocess args. 9. routes/models.py /gguf-download-progress: apply _validate_logged_identifier to repo_id and variant, matching the round 24 hardening on the adjacent generic /download-progress. 10. routes/inference.py diffusion-load RuntimeError classifier: treat "AI Assist ..." messages as retryable 503 instead of 400 (round 28 P2 #15). Mirrors the round 18/19 markers for chat unload failures. Tests: 105 targeted + 1768 broader backend tests pass locally. |
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| .. | ||
| backend | ||
| frontend | ||
| src-tauri | ||
| __init__.py | ||
| install_llama_prebuilt.py | ||
| install_python_stack.py | ||
| LICENSE.AGPL-3.0 | ||
| package-lock.json | ||
| package.json | ||
| setup.bat | ||
| setup.ps1 | ||
| setup.sh | ||
| Unsloth_Studio_Colab.ipynb | ||