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。
Tokens-per-minute (TPM) is a configurable limit set per model per region within the API that provides a best prediction of your expected token usage over time. The requests-per-minute (RPM) rate limit is also set proportionally。
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