Logo

azure-openai

#10034

schema_validation_error

Invalid schema for function 'matching_auto_reply': The provided data type is not valid under the defined schemas.

This error has been identified and solved.

Reason

The 400 status error in the Azure OpenAI API, specifically the "Invalid schema for function" error, can be triggered by several reasons:

Invalid or Missing Schema

The error indicates that the JSON schema provided for the function is incorrect or missing required items. For example, the items array schema might be missing or incorrectly defined.

Incorrect Request Payload

The payload sent to the API may not conform to the expected JSON schema. This could be due to incorrect formatting, missing required fields, or using unrecognized request arguments.

Model-Specific Parameters

Different models in OpenAI have specific parameter requirements. For instance, some models may require max_tokens while others need max_completion_tokens, and using the wrong parameter can lead to errors.

Data Type Mismatch

The error message " 'float' is not valid under any of the given schemas" suggests that there is a data type mismatch in your request payload. This means the data type of one or more fields in your request does not match the expected schema defined for the function or model you are interacting with.

Header and Content-Type Issues

Incorrect headers, particularly the Content-Type header not being set to application/json, can also result in a 400 error as the server expects a specific format that is not being provided.

Solution

To fix the 400 status error in the Azure OpenAI API due to an "Invalid schema for function" error, you need to ensure the following:

  • Validate the JSON Schema: Ensure the JSON schema provided for the function is correct and complete, including all required items.

  • Correct Request Payload: Verify that the payload sent to the API conforms to the expected JSON schema, with correct formatting and all required fields included.

  • Use Correct Model Parameters: Ensure you are using the correct parameters for the specific model you are interacting with, such as max_tokens or max_completion_tokens.

  • Match Data Types: Ensure that the data types of fields in your request match the expected schema defined for the function or model.

  • Check Headers and Content-Type: Make sure the Content-Type header is set to application/json to match the server's expectations.

By addressing these areas, you should be able to resolve the error effectively.

Original Error Message

Raw

Invalid schema for function 'matching_auto_reply': The provided data type is not valid under the defined schemas.

Original Error Message

Raw

Invalid schema for function 'matching_auto_reply': The provided data type is not valid under the defined schemas.

© 2024 Portkey, Inc. All rights reserved

HIPAA

COMPLIANT

GDPR

Transform Your AI app prototypes to be production-ready

Talk to us →