Akousapydantic.ValidationErrorPydantic data validation failed because the input data does not match the model's schema.
The data passed to a Pydantic model does not conform to the defined field types, constraints, or validators. Fields may be missing, have wrong types, or fail custom validation rules.
Read the error's .errors() for specific field failures. Fix the input data to match the model schema. Use Optional[type] for non-required fields. Add default values with Field(default=...). Use model_validate() with strict=False for lenient parsing.
IndexErrorA sequence index is out of the valid range for the given sequence.
TypeError: object is not iterableAn object that does not support iteration was used in a for loop, unpacking, or other iterable context.
ConnectionRefusedErrorThe connection was refused because no server is listening on the target address.
numpy ValueError: shape mismatchA numpy operation failed because the array shapes are incompatible.
TypeError: missing required positional argumentA function was called without providing all required positional arguments.
ConnectionErrorA connection-related error occurred during a network operation.