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The OpenAI API has separate limits for requests per minute and tokens per minute. If youre hitting the limit on requests per minute, but have headroom on tokens per minute, you can increase your throughput by。

There are two principal rate limiting strategies within Azure OpenAI Service which we need to understand: Let’s delve into the details of these: TPMs are allocated to a model deployment (like gpt-35-turbo), defining the maximum。

Understanding rate limits in openai api Discussion Assume u have a Requests per minute of 10000 and tokens per minute of 1000000 for gpt 3.5 and u have set up a semaphore of 100。

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