Monitor Claude Code adoption in your organization with Datadog’s AI Agents Console

This Datadog article explains how annotating LLM traces—adding metadata about inputs, outputs, and context—is crucial for understanding and improving LLM performance. By enriching these traces, teams can pinpoint the root cause of issues like hallucinations or inaccurate responses, leading to faster debugging and better model quality. Ultimately, Datadog LLM Observability facilitates proactive monitoring and optimization of LLM applications through this detailed tracing and annotation process.