The OpenAI monitoring cheatsheet outlines key metrics used to track the performance, usage, and cost of OpenAI API requests within Datadog. It provides guidance on monitoring request volumes, token usage, response times, and error rates across OpenAI services. Metrics such as total tokens per request, prompt tokens, and completion tokens help teams estimate API costs and identify usage patterns across applications and teams. The cheatsheet also highlights rate-limit monitoring and performance metrics that reveal latency issues or abnormal request patterns. By combining OpenAI telemetry with Datadog’s logs and APM traces, organizations gain full visibility into AI workloads and can ensure their integrations remain efficient, reliable, and cost-effective.

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