Get granular LLM observability by instrumenting your LLM chains

This Datadog article highlights the importance of tracing LLM requests to understand and improve their performance and quality. By annotating traces with metadata like prompts, completions, and associated costs, teams can pinpoint problematic inputs, identify latency bottlenecks, and ultimately optimize their LLM applications. Datadog's LLM Observability features aim to provide this granular insight for better LLM troubleshooting and refinement.