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IFWhen using litellm >=1.83.1, installing the library forces downgrades of common packages (pydantic, openai, aiohttp) to exact pinned versions, causing dependency conflicts and potentially insecure downgrades.

THENOverride litellm's exact dependency pins with flexible ranges using uv's override-dependencies in pyproject.toml. For pip/poetry, use a constraints file to enforce minimal versions. Example: add [tool.uv] override-dependencies with safe ranges like 'pydantic>=2.5,<3', 'openai>=2.8,<3'. This restores compatibility without blocking litellm usage.

IFBuilding a Docker image or installing litellm>=1.77.0 fails with error: 'command g++ failed: No such file or directory' because transitive dependency madoka requires C++ compilation.

THENPin litellm to version 1.76.x or add a version constraint <1.77.0 in your requirements.txt or pyproject.toml to avoid the problematic pondpond/madoka dependency chain. Ensure your dependency resolver respects this upper bound.

IFOpenAI Python package version 1.1.1 is incompatible with LangChain library causing import failures (e.g., 'openai.Completion' deprecated) and client initialization errors.

THENPin the OpenAI package version to <1.0.0 (e.g., 0.28.1) using `pip install 'openai<1.0.0'` to restore functionality until LangChain is updated to support openai>=1.0.0. Alternatively, upgrade LangChain to a version that includes the compatibility fix.

IFQwen2.5-VL fails with a ValueError in vLLM due to a breaking change in the transformers dev branch.

THENPin the transformers library to the specific commit that is known to work by running: pip install --upgrade git+https://github.com/huggingface/transformers.git@336dc69d63d56f232a183a3e7f52790429b871ef. Alternatively, wait for a new vLLM release that fixes the compatibility issue.

IFWhen Tenacity library is updated to version 8.4.0, importing from llama_index.core triggers ModuleNotFoundError because tenacity.asyncio was removed.

THENPin Tenacity to >=8.2.0,<8.4.0 in your project dependencies, or update all imports from tenacity.asyncio to use tenacity directly. For example, replace 'from tenacity.asyncio import AsyncRetrying' with 'from tenacity import AsyncRetrying'.

IFUsing Qwen2.5-VL with the latest transformers development branch causes a ValueError due to a breaking change.

THENPin the transformers package to a known compatible commit. Until the upstream fix is merged, use `pip install --upgrade git+https://github.com/huggingface/transformers.git@336dc69d63d56f232a183a3e7f52790429b871ef` to restore functionality. Monitor for official vLLM updates that address this regression.

IFWhen using Qwen2.5-VL with vLLM and following official docs, error 'Model architectures Qwen2_5_VLForConditionalGeneration failed to be inspected' occurs due to a breaking change in the transformers dev branch.

THENPin the transformers library to commit 336dc69d63d56f232a183a3e7f52790429b871ef to avoid upstream breaking changes. Use the specific commit hash in the pip install command until an official release includes the fix.

IFUsing Pydantic versions earlier than 2.9.0 with `TypeAdapter` and `Annotated` fields (e.g., `TypeAdapter(Annotated[List[ChatCompletionMessageParam], field])`) triggers a core schema generation error.

THENUpgrade Pydantic to version 2.9.0 or later, which fixes the `get_model_fields()` and `TypeAdapter` interaction bug.

IFlitellm crashes on import when openAI v1.100.0 is installed because openAI removed ResponseTextConfig from openai.types.responses.response.

THENPin openAI package to version <1.100.0 (e.g., 'openai==1.99.9') to avoid the breaking change, or upgrade litellm to a version that handles the removal. Verify compatibility before updating openAI.