Load balancing OpenAI API calls with LiteLLM
Read OriginalThis technical article details a solution for handling Azure OpenAI API rate limits by implementing load balancing with the open-source LiteLLM proxy. It describes deploying LiteLLM as a container in AKS to distribute requests across multiple Azure OpenAI resources (e.g., in different regions), allowing applications to scale beyond per-instance token/minute restrictions without changing existing client code that uses the standard OpenAI library.
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