Fix TypeError

✅ Solution

TypeError in Pydantic often arises from incorrect type hints or mismatched argument signatures during model creation or validation, particularly when using newer Pydantic versions with stricter type checking. Carefully review your model definitions, function calls using `_eval_type()`, and custom validators, ensuring that all type hints are accurate and that you are passing arguments with the expected names and types, especially checking for deprecated arguments like `prefer_fwd_module`. Also ensure that you are using a supported Python version, as certain features may be unavailable or produce unexpected errors in specific environments.