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Since yesterday, requests to the completions endpoint of our OpenAI model deployment are timing out. We haven't made any changes on the code that's doing the requests or the infrastructure around it. I've tried switching to non-streaming requests as well as simplifying the prompt, but nothing changed, and still all requests are timing out.
An Azure service that provides access to OpenAI’s GPT-3 models with enterprise capabilities.
Hello svetlio svetlio,
Here are some steps and considerations that might help:
Check Azure Status: Sometimes, timeouts can be due to broader Azure service disruptions or outages. It’s a good idea to check the Azure Status page to see if there are any ongoing incidents affecting OpenAI deployments in your region.
Quota Limits: Confirm that you haven't hit any rate or concurrency limits, as exceeding them can cause timeouts. You can review your Azure OpenAI resource’s quota utilization in the Azure Portal.
Network Issues: Ensure your client can still reach Azure endpoints without network or firewall issues. Running a connectivity test to the region/data center hosting your resource may highlight issues.
Contact Support: If status pages show no incidents and all tests fail, reach out to Azure Support with detailed logs of your requests and timestamps. Microsoft can check the backend for issues not yet published publicly.
It's not uncommon for cloud services to have brief intermittent issues that are quickly resolved by the provider, but persistent timeouts usually warrant an official support ticket.
If you’d like, I can help guide you through contacting Azure support or troubleshooting further.
Best regards,
Jerald Felix
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Hi svetlio svetlio,
Did you get any chance to check the response. Thank you!
Hi svetlio svetlio,
Just following up to see if you had a chance to review the above response. Thank you!
Hey, the problem resolves by itself after a day. At the time it was happening I've tried a minimal prompt and that also didn't work. I've also checked the status page but nothing was shown there.
Hi svetlio svetlio,
This issue is not related to any changes in your code or infrastructure but is likely caused by temporary service-side latency or capacity issues in the region where your deployment is hosted. We recommend first checking the Azure Status page to confirm if there are any ongoing service incidents. You can also try testing with a minimal prompt, increasing the request timeout, or switching to another region or model deployment to see if the problem persists. If the issue continues even with simple requests, it may be regional and not specific to your deployment. Please let us know if you are still facing the issue.