1193c8144a
Round 9 reviewer flagged a pile of handoff asymmetries: every
GPU-owning lifecycle change (training, export, chat, images) needed
its own bespoke unload sequence and they had drifted out of sync.
Some skipped llama-server is_active; some missed safetensors
loading_models; export and training did not check is_export_active.
Backend handoff (P1)
* routes/inference.py: new _release_chat_for / _release_export_for
helpers. Both treat llama-server as held when is_loaded OR
is_active, safetensors as held when active_model_name OR
loading_models is non-empty, and export as held when
current_checkpoint OR is_export_active. Both helpers run their
unloads in worker threads so async routes do not block the
event loop.
* routes/training.py: replaces its bespoke inline llama / safe /
export unload sequence with await _release_chat_for / _release_
export_for.
* routes/export.py: same swap for the chat unload chain (export
still does NOT call _release_export_for on itself).
* routes/inference.py GGUF + standard chat-load paths: now use
_release_export_for to drop a settled export, and the standard
path's llama unload now also handles is_active=True (round 9
review #8).
Backend reject-on-active export (P1 #5)
* routes/inference.py: new _raise_if_export_active. Symmetric
with _raise_if_training_active: a long-running export is
refused with HTTP 409 instead of being silently killed when
/images/load or /load arrives. Diffusion / images load and
both chat-load paths call it.
* core/inference/diffusion.py _release_other_gpu_owners_for_
diffusion: no longer tears down an in-flight export job. Only
drops a SETTLED export checkpoint (current_checkpoint
populated, is_export_active False). Round 9 review #5 -- the
previous behavior could terminate an in-flight export and
leave a partial output artifact.
Token leak via logger.exception (P1 #6)
* core/inference/diffusion.py: load-failure logging now uses
logger.error(..., exc_msg) with the already-scrubbed string
and exc_info=False. logger.exception() with the raw Exception
would expose any hf_... token that diffusers / huggingface_hub
embedded in the message or traceback locals, defeating the
earlier in-flight scrub.
Dependency pinning (P1 #11)
* pyproject.toml: huggingfacenotorch optional extra now pins
diffusers>=0.37.0. Previously the floor was only set in
studio/backend/requirements/no-torch-runtime.txt, so a normal
pip install would resolve diffusers 0.36.0 (no
Flux2KleinPipeline) and the default curated FLUX.2 klein
Images model would fail at runtime.
Cache-delete exact match (P1 #14)
* routes/models.py /delete-cached: llama.cpp and safetensors
guards now match on exact repo-id (case-insensitive) instead
of prefix. Diffusion guard already does this; the chat guards
were the remaining surface where loading org/model-v2
blocked deleting org/model.
|
||
|---|---|---|
| .. | ||
| 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 | ||