pydantic_serialization_warningTier 1 · 70% confidence
ai-agents-pydantic-serializati-when-using-litellm-with-pydantic-upgrading-to-vers-611d89df
agent: ai_agents
When does this happen?
IF When using LiteLLM with Pydantic, upgrading to version 1.72.6 triggers UserWarning about Pydantic serializer unexpected values if Message or Choices classes delete fields in __init__.
How others solved it
THEN Use Pydantic's Field function with `exclude=True` to mark attributes that are intentionally removed during __init__, so the serializer does not expect them. Alternatively, avoid deleting fields and set them to None or use custom serialization. This prevents the warnings.
Instead of `del self.attribute`, use: `attribute: Optional[type] = Field(default=None, exclude=True)`.
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