azure-openai
#10064
schema_validation_error
Invalid schema type for function "information_extraction": expected type "object" or "boolean".
This error has been identified and solved.
Reason
The `` status error in the Azure OpenAI API, specifically the "Invalid schema" error, can be caused by several factors:
Incorrect or Invalid Request Parameters
The error could be due to using incorrect or unrecognized request parameters. For example, using max_completion_tokens with models that require max_tokens instead can trigger this error, as seen in the case of GPT-4 models where max_completion_tokens is not supported.
Invalid Payload or Data Schema
The payload or data you are sending might not conform to the expected schema. This includes ensuring that the messages array and other parameters are correctly formatted and typed. An example of this issue is when the messages array does not match the expected structure, leading to an invalid request error.
Header or Content-Type Issues
Incorrect headers, such as an invalid Content-Type header (e.g., using application/x-www-form-urlencoded instead of application/json), can also result in a 400 error. This is because the API expects the request body to be in JSON format.
Rate Limiting or Throttling
Although less likely to cause a specific "Invalid schema" error, hitting rate limits or throttling can generally cause 400 errors, but this would typically be related to the frequency of requests rather than the schema of the request itself.
API Key or Authentication Issues
While not directly related to schema, an invalid or expired API key, or incorrect authentication headers, can also result in a 400 error, often due to the server being unable to process the request correctly.
Solution
To fix the 400 status error in the Azure OpenAI API due to an "Invalid schema type" error, you need to ensure the following:
Verify Request Parameters
Check if you are using the correct parameters for your model. For example, use
max_tokensfor GPT-4 models instead ofmax_completion_tokens.
Correct Payload and Data Schema
Ensure the
messagesarray and other parameters are correctly formatted and typed according to the expected schema.
Validate Headers and Content-Type
Make sure the
Content-Typeheader is set toapplication/jsonand there are no invalid or unnecessary headers.
Check API Key and Authentication
Verify that your API key is valid, not expired, and correctly included in the request headers.
Review Rate Limiting
Although less likely, ensure you are not hitting rate limits or throttling thresholds that could lead to a general 400 error.
