Building reliable dashboard agents with Datadog LLM Observability

This Datadog article explains how annotating LLM traces—adding contextual metadata to requests and responses—significantly improves LLM observability and quality. By tagging traces with information like prompt versions, user segments, or ground truth data, teams can pinpoint the root causes of issues like hallucination or poor performance and iteratively refine their LLM applications. Ultimately, annotation enables data-driven improvements and faster troubleshooting for better LLM outcomes.