invalid_argument_error

gpt-4-1106-preview

openai

Unrecognized request argument supplied. Please check the headers or input parameters.

Unrecognized request argument supplied: headers

Unrecognized request argument supplied: headers

The "Unrecognized request argument supplied: headers" error with a 400 status code in the OpenAI API typically indicates that the request is including an invalid or unsupported parameter. Here are some possible reasons for this error:

Incorrect API Endpoint or Parameters

The error could be due to using an incorrect API endpoint or passing parameters that are not recognized by the specific endpoint you are targeting. For example, some parameters might be specific to certain models or endpoints and are not universally accepted.

Misconfigured Headers

The error message suggests an issue with the headers parameter, which might imply that the way you are setting or formatting the headers is not compatible with the API's expectations. This includes the Authorization header, Content-Type, or any other custom headers that might not be recognized or supported.

API Version or Model Compatibility

Different models or API versions may have varying requirements for headers and parameters. If you are using a parameter or header that is not compatible with the specific model or API version you are calling, it can result in this error.

Syntax or Formatting Issues

There could be syntax or formatting issues in how the request is structured, including how the headers are defined and passed in the request body. Ensuring that the JSON payload is correctly formatted and that there are no extraneous or misnamed parameters is crucial.

To fix the "Unrecognized request argument supplied" error with a 400 status code in the OpenAI API, you need to address the following aspects:

  • Verify API Endpoint and Parameters: Ensure you are using the correct API endpoint and that all parameters are recognized by that endpoint.

  • Check Header Configuration: Confirm that the headers, including the Authorization and Content-Type headers, are correctly set and formatted.

  • Ensure API Version and Model Compatibility: Make sure the parameters and headers you are using are compatible with the specific model and API version you are calling.

  • Inspect Request Syntax and Formatting: Ensure the JSON payload is correctly formatted and free of extraneous or misnamed parameters.

  • Review API Limits and Quotas: Check if you are exceeding any usage limits or quotas.

  • Examine Network and Connectivity: Ensure there are no network issues that could be causing the problem.

  • Check API Key and Permissions: Verify that your API key is valid and has the necessary permissions for the operations you are performing.