[Bug]: Mismatch in uvicorn dependency for litellm[proxy] on PyPI #7768
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krrishdholakia
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rajatvig
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* build(pyproject.toml): bump uvicorn depedency requirement Fixes BerriAI#7768 * fix(anthropic/chat/transformation.py): fix is_vertex_request check to actually use optional param passed in Fixes BerriAI#6898 (comment) * fix(o1_transformation.py): fix azure o1 'is_o1_model' check to just check for o1 in model string BerriAI#7743 * test: load vertex creds
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What happened?
Hello, and thank you for your work on litellm!
I've noticed that recent releases of litellm[proxy] on PyPI still pin
uvicornto>=0.22.0,<0.23.0(based on the package METADATA), while the GitHub repository shows an updated requirement foruvicorn==0.29.0.This discrepancy causes dependency conflicts in projects that use FastAPI (>=0.111),
because FastAPI requires
uvicorn>=0.26.0, while litellm[proxy] enforcesuvicorn<0.23.0.Could you please review and publish a new release on PyPI that reflects the correct
uvicorndependency?This would greatly help avoid installation issues for downstream projects.
Thank you in advance! Let me know if there's anything else I can do to assist.
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Are you a ML Ops Team?
No
What LiteLLM version are you on ?
v1.58.1
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