Getting 429 throttling errors with Azure OpenAI API calls

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1

I’m working with Azure OpenAI service and keep running into rate limiting issues. Sometimes when I make API requests through the SDK or direct REST calls, I get hit with 429 status codes that stop my application from working properly.

This is really frustrating because it happens randomly and I can’t predict when it will occur. My app needs to make multiple requests in a short time period, but these throttling errors are breaking the user experience.

Can someone explain how Azure OpenAI decides when to throttle requests? Is there a way to check my current usage limits or see how close I am to hitting the rate limit? I’m also looking for best practices on how to handle these 429 errors gracefully in my code.

Any tips on avoiding these throttling issues altogether would be really helpful. Should I be implementing some kind of delay between requests or using a different approach?

2

hey! totally get the frustration. ive had those 429 errors too. double-check your token limit in the portal, it can sneak up on u. for the errors, try exponential backoff - it’s really helpful to space out those retries. hope it helps!