6 tokens per minute|How to handle rate limits,ondeugend daten inloggen

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。

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 6 tokens per minutelimit is also set proportionally。

Tokens-Per-Minute (TPM) allocation is not related to the max input token limit of a model. Model input token limits are defined in the and are not impacted by changes made to Tokens per minute (TPM).

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