camel-oasis (transitively via sentence-transformers) hard-imports torch in
oasis/social_platform/recsys.py, so torch cannot be removed while OASIS
simulation is a feature. On linux-x86_64 the default PyPI torch wheel is the
CUDA build, which dragged ~several GB of nvidia-* packages into the image
even though this server has no GPU and all LLM + embedding calls go through
an API (generate_post_vector_openai).
Fix: force torch to resolve from PyTorch's CPU-only index via [tool.uv]:
- override-dependencies torch==2.13.0, [[tool.uv.index]] pytorch-cpu, and
[tool.uv.sources] torch={index=pytorch-cpu}.
Result after re-lock: all nvidia-* + triton packages removed (0 remaining in
uv.lock), torch 2.9.1 -> 2.13.0+cpu. Verified: torch/sentence_transformers/
oasis/from app import create_app all import fine with CPU torch
(cuda: False); backend suite 201 passed. Dockerfile keeps an import-time
verify after uv sync instead of the now-unneeded nvidia uninstall step.
- Created package-lock.json for dependency management.
- Updated package.json and frontend package.json to version 0.1.0.
- Adjusted backend pyproject.toml to reflect version 0.1.0.
- Introduced uv.lock for Python dependency resolution.
