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azure-openai
#10013
content_policy_violation_error
The response was filtered due to the prompt triggering content management policy. Please modify your prompt and retry. See our documentation for more information on content filtering policies.
This error has been identified and solved.
Reason
When encountering a 400 Bad Request
error with the OpenAI API, there are several potential causes and considerations to keep in mind:
Incorrect API Keys or Configuration
A common cause of the 400 error is the use of an incorrect, expired, or improperly configured API key. Ensure that the API key used in your code matches the one listed in the OpenAI Developer Dashboard and that it has not expired[1/.
Rate Limiting and Throttling
OpenAI imposes rate limits on API requests. If your application exceeds these limits, it can result in a 400 error. Review OpenAI's rate limiting documentation and implement measures to avoid hitting these limits, such as adding delays between requests[1/.
Invalid Request Payload
The payload sent to the API might be incorrect. This includes issues with the request body, headers, or URL parameters. Ensure that the payload conforms to the API's requirements and schema. For example, checking the messages
array schema if you are using the chat API[4%.
Network Issues
Sometimes the issue might be related to network traffic. Using tools like Wireshark or browser developer tools can help inspect the network traffic and identify any anomalies such as packet loss or high latency[1/.
Content Management Policy
OpenAI's content management policy can also trigger a 400 error if the prompt or input violates the policy. This policy is enforced to prevent harmful or inappropriate content. If your prompt triggers this policy, you will need to modify the prompt to comply with the policy, or you can apply for modified access on content filtering if necessary.
General Debugging
Inspect the API request and response to identify any specific error messages or details that can help pinpoint the issue.
Check the API documentation for any requirements or constraints that your request may not be meeting.
Ensure all headers, including
Content-Type
andapi-key
, are correctly set[4%.
By addressing these potential causes, you can effectively diagnose and resolve the 400 Bad Request
error when using the OpenAI API.
Solution
To fix the 400 Bad Request
error in the Azure OpenAI API, consider the following steps:
Verify API Keys: Ensure your API key is correct, not expired, and properly configured.
Check Rate Limits: Adhere to OpenAI's rate limits to avoid throttling.
Validate Request Payload: Confirm that the request body, headers, and URL parameters conform to the API's requirements.
Modify Prompts for Content Policy: Adjust prompts to comply with OpenAI's content management policy, or apply for modified access on content filtering if necessary.
Inspect Network and API Configuration: Check for network issues and ensure all API configurations, including headers, are correct.
By addressing these areas, you can resolve the 400 Bad Request
error effectively.