I’m having trouble with my new Azure AI project. I set up everything from scratch using the portal. All resources are new.
I made a gpt-4o-mini deployment with these settings:
- Global Standard type
- 8,000 tokens per minute limit
- 80 requests per minute limit
- Successfully provisioned
The metrics show I’m nowhere near these limits. But when I try to use the Agent in the playground, I keep getting rate limit errors. It doesn’t make sense.
I can use the model directly without issues. But through the AI Agent Service, it always fails.
What’s going on? Am I missing something obvious? I can’t figure out how to get past this and actually use the service.
Has anyone else run into this problem? Any tips on how to troubleshoot or fix it would be really helpful. I’m stuck and not sure what to try next.
Thanks for any advice!
I’ve been working with Azure AI Agent Service for a while now, and I’ve seen this issue pop up a few times. One thing that often gets overlooked is the difference between the model’s rate limits and the Agent Service’s own limits.
While your gpt-4o-mini deployment might have generous limits, the Agent Service itself could be hitting a separate bottleneck. Have you checked the specific quotas for the AI Agent Service in your subscription? Sometimes these are set quite low by default.
Another potential culprit could be network-related. I once spent days troubleshooting a similar problem, only to discover it was caused by an overzealous firewall rule. If you’re working in a corporate environment, it might be worth checking with your IT team to ensure there are no restrictions blocking the Agent’s outbound connections.
Lastly, don’t discount the possibility of a bug in the service itself. Azure services, especially newer ones, can sometimes have quirks. If you’ve exhausted other options, it might be worth opening a support ticket with Microsoft. They can dive deeper into the logs and potentially identify any underlying issues.
Keep at it - these teething problems are frustrating but usually solvable with some persistence!
I encountered a similar issue when setting up my Azure AI Agent Service project. After some trial and error, I found that the problem was related to the service principal permissions. Even though the deployment seemed successful, the Agent didn’t have the necessary access to interact with the model.
To resolve this, I had to explicitly grant the AI Agent Service’s managed identity the proper role assignments on the Azure OpenAI resource. This involved adding the ‘Cognitive Services User’ role to the Agent’s identity in the Azure portal.
Once I did that, the rate limit errors disappeared, and I could use the Agent without issues. It might be worth checking your service principal permissions to see if that’s causing the problem in your case too. Hope this helps!