Azure Open AI Internal Server Error 500

Rishab Mehta 60 Reputation points
2025-02-09T16:26:02.9266667+00:00

I just deployed a Llama model from AI Foundry, and am trying to run the sample python code provided in the chat playground. This returns the following error:
openai.InternalServerError: Error code: 500 - {'error': {'code': 'InternalServerError', 'message': 'Backend returned unexpected response. Please contact Microsoft for help.'}}

I have not modified the code other than to add my API key.

Azure OpenAI Service
Azure OpenAI Service
An Azure service that provides access to OpenAI’s GPT-3 models with enterprise capabilities.
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Azure AI services
Azure AI services
A group of Azure services, SDKs, and APIs designed to make apps more intelligent, engaging, and discoverable.
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Accepted answer
  1. Vikram Singh 1,955 Reputation points Microsoft Employee
    2025-02-10T06:38:42.16+00:00

    Hi Rishab Mehta,

    Thank you for posting your question on Microsoft Q&A. I apologize for any inconvenience this issue may have caused.

    The "InternalServerError: Backend returned unexpected response" error can be challenging to diagnose. Here are some steps and quick workarounds that might help resolve this issue:

    1. Verify API Endpoint and Deployment
    2. Endpoint Accuracy: Ensure that the API endpoint URL is correctly formatted and matches your deployment details.
      1. Deployment Status: Confirm that the Llama deployment is active and correctly configured in your Azure OpenAI resource.
    3. Check API Key and Permissions
      1. API Key Validity: Ensure that the API key used is valid and has the necessary permissions to access the deployment.
      2. Subscription Limits: Verify that your subscription has not exceeded its usage limits, which could cause such errors.
    4. Review Request Payload
      1. JSON Structure: Ensure that the JSON payload is correctly structured and all required fields are present.
      2. Parameter Values: Double-check the values of parameters like max_tokens, temperature, and others to ensure they are within acceptable ranges.
    5. Monitor Service Health
      1. Azure Service Status: Check the Azure Status Page to see if there are any ongoing issues with the OpenAI service in your region.
      2. Regional Availability: Ensure that the service is available in the region where your resource is deployed.
    6. Implement Retry Logic: Transient Errors: Sometimes, 500 errors can be transient. Implementing a retry mechanism with exponential backoff can help mitigate temporary issues.

    If the issue persists after performing the above steps, capture the full error response, including any error codes or messages, to assist in troubleshooting. If available, note the correlation ID from the error response to provide for further investigation.

    Thanks

    1 person found this answer helpful.

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