azure-openai
#10035
type_mismatch_error
The input message does not match the required object type in "messages.0". Please ensure your query is formatted correctly and matches the expected data structure.
This error has been identified and solved.
Reason
The 400 status error in the Azure OpenAI API, specifically the error message indicating that the query "is not of type 'object' - 'messages.0'," suggests several potential issues:
Invalid Request Structure
The error indicates that the structure of the request, particularly the messages array, is not correctly formatted. The API expects each element in the messages array to be an object with specific keys (e.g., role and content), but the provided data does not conform to this expectation.
Incorrect Data Type
The API is expecting an object for each message, but the data provided for messages.0 does not match this type. This could be due to a mismatch between the expected and actual data types in the request payload.
API Parameter Validation
The error may also result from invalid or unrecognized parameters in the request. For example, using deprecated or incorrect parameters (like max_completion_tokens instead of max_tokens for certain models) can trigger a 400 error.
In summary, the error is likely due to an incorrectly formatted or typed request payload, specifically within the messages array, which does not align with the API's expected structure and data types.
Solution
To fix the 400 status error in the Azure OpenAI API, you need to ensure the request is properly formatted and matches the expected data structure. Here are the key steps:
Verify Request Structure
Ensure each element in the
messagesarray is an object.Check that each message object includes the required fields such as
roleandcontent.
Correct Data Types
Make sure the data provided for
messages.0is of the correct type, which should be an object.
Validate API Parameters
Use the correct parameters for the model you are using. For example, ensure you are using
max_tokensormax_completion_tokensas appropriate for the specific model.
Additional Checks
Confirm the endpoint URL and API version are correct.
Verify that the API key is valid and properly included in the request headers.
Ensure all required query parameters are included and correctly formatted.
