Prompt Flow Deployment Fails with 'Received 500 from a Service Request' Error

Question

Issue:

I am trying to deploy my prompt flow in Azure to obtain endpoints, but the deployment fails with the following error:

Prompt flow deployment "xxxxxxxx" of endpoint "xxxxxx" failed

Creating deployment

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Received 500 from a service request Status: 500 (Received 500 from a service request) ErrorCode: ServiceError Content: { "error": { "code": "ServiceError", "message": "Received 500 from a service request", "target": "POST https://inference-deployment-api.inference-deployment-api.svc/inferencedeployment/subscriptions/xxxxxxxxx/resourceGroups/xxxxxx/providers/Microsoft.MachineLearningServices/workspaces/xxxxxx/endpoints/xxxxxx/deployments/xxxxx/v2?api-version=2021-10-01&validateOnly=False", "details": [ { "code": "InternalServerError", "message": "", "details": [], "additionalInfo": [] } ], "additionalInfo": [ { "type": "ComponentName", "info": { "value": "managementfrontend" } }, { "type": "Correlation", "info": { "value": { "operation": "xxxxxxxxxxxx", "request": "xxxxxxxxxxxxx" } } }, { "type": "Environment", "info": { "value": "westeurope" } }, { "type": "Location", "info": { "value": "westeurope" } }, { "type": "Time", "info": { "value": "2025-02-24T09:00:38.3757608+00:00" } } ] } } Headers: Cache-Control: no-cache Pragma: no-cache x-ms-throttling-version: REDACTED Request-Context: REDACTED x-ms-response-type: REDACTED Strict-Transport-Security: REDACTED X-Content-Type-Options: REDACTED x-aml-cluster: REDACTED x-request-time: REDACTED x-ms-failure-cause: REDACTED x-ms-ratelimit-remaining-subscription-resource-requests: REDACTED x-ms-request-id: xxxxxxxxxxxxxxxxx x-ms-correlation-request-id: REDACTED x-ms-routing-request-id: REDACTED X-Cache: REDACTED X-MSEdge-Ref: REDACTED Date: xxxxxxxx GMT Content-Length: 1308 Content-Type: application/json; charset=utf-8 Expires: -1

Question:

What could be causing this 500 Internal Server Error when deploying my prompt flow? Are there any known issues with Azure Machine Learning endpoints or Inference Deployment API in the West Europe region?

Would appreciate any insights or suggestions on resolving this!

Answer 1

Hi M.Gh,
Greetings & Welcome to the Microsoft Q&A forum! Thank you for sharing your query.
A 500 Internal Server Error typically indicates an issue on the server side.

• Sometimes, server errors can be transient. You can try redeploying your prompt flow after some time to see if the issue resolves.
• Ensure that your deployment is not hitting any resource limits or quotas. Sometimes, high demand in a specific region can lead to temporary restrictions on new deployments
• Double-check your deployment configuration for any errors. Ensure that all required parameters are correctly specified and that there are no typos or missing values.
• Ensure that your prompt flow has the necessary access to all connected resources, such as storage accounts, Azure OpenAI, or Azure AI Search. Lack of proper access can lead to deployment failures.

I hope this information helps.