azure-openai
#10059
schema_validation_error
Invalid schema for function "information_extraction": Input must be an "object" or "boolean" type.
This error has been identified and solved.
Reason
The 400 status error in the Azure OpenAI API, specifically the "Invalid schema for function" error, is typically triggered by several key issues:
Incorrect Data Type
The error message indicates that the data provided does not match the expected type. In this case, the function "information_extraction" expects an object or a boolean, but it is receiving an array of strings instead.
Invalid Schema
The schema defined for the function does not align with the data being passed. For example, if the function requires a specific structure or type of data (e.g., an object), passing an array or any other incorrect type will result in this error.
Request Argument Errors
The payload or request arguments might contain fields or structures that are not recognized or are incorrectly formatted, leading to a "Bad Request" response from the server.
In summary, the error is due to a mismatch between the expected data type and structure defined by the function's schema and the actual data being provided in the request.
Solution
To fix the "Invalid schema for function" error in the Azure OpenAI API, you need to ensure the following:
Match the expected data type: Verify that the input data conforms to the expected type, which in this case should be an object or a boolean.
Validate the schema: Ensure the data structure aligns with the schema defined for the function.
Correct request arguments: Check that all fields and structures in the request payload are recognized and correctly formatted.
Review function parameters: Make sure the parameters passed to the function adhere to the specified schema and expected types.
Here are the key actions to take:
Check the data type of the input.
Validate the schema of the function.
Correct any unrecognized or incorrectly formatted request arguments.
Ensure function parameters match the defined schema.
