Organizations increasingly rely on large language models to automate tasks, generate content, and improve operational efficiency. Datadog’s OpenAI integration provides visibility into how organizations use OpenAI services by monitoring API requests, token consumption, and response performance. Dashboards break down usage by model, service, organization, and API key, helping teams understand where AI workloads originate and how resources are consumed. Monitoring token usage allows organizations to track costs and identify spikes in usage before they exceed budgets or API rate limits. Performance metrics such as latency and error rates provide additional insight into application reliability. With centralized monitoring and analytics, organizations can optimize their AI deployments and mainta

Join for free to read