Fix TypeError

✅ Solution

TypeError in Langchain often arises from incorrect type annotations, especially when converting TypedDicts (possibly containing `NotRequired`) into formats expected by external APIs like OpenAI function schemas. To fix this, carefully inspect and adjust your TypedDict definitions to ensure they are compatible with the target schema, potentially mapping `NotRequired` fields to optional types or providing default values to avoid unexpected `None` values during conversion. Verify that custom classes used in schemas have appropriate `__init__` methods or pydantic configurations.