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capacity-planning

Diagnose Azure OpenAI Throttling with azqr

As organizations scale their Azure OpenAI workloads, throttling (HTTP 429 errors) becomes a critical operational concern. These errors indicate that your requests exceed the provisioned capacity, leading to degraded user experience, failed completions, and potential revenue loss. This post introduces the Azure Quick Review openai-throttling plugin, which helps you identify throttling patterns, analyze affected deployments, and make data-driven decisions for capacity planning.