kelly-agent-observability

You can debug complex LLM agent chains through trace-level step analysis, which visualizes step-by-step tool call timelines to pinpoint exactly where an agent chain breaks. This allows you to isolate chain-of-thought failures and identify bottlenecks in specific agent archetypes.

Yes, you can track p50 and p95 latency metrics, error rates, and costs across multiple agent archetypes using the fleet health monitoring dashboard. It aggregates telemetry data locally to help you review performance and ensure error rates remain within acceptable thresholds after deployments.

Yes, the observability dashboard supports human-in-the-loop intervention logging by allowing you to flag specific traces or agents for investigation. It maintains a local audit log of these interventions to help you track manual reviews and debugging actions within your agent fleet.

Yes, you need Hono and @hono/node-server installed, as the local observability dashboard operates entirely on a Hono-based server to ensure data privacy and zero external network dependencies. You start the dashboard by running the launcher script in the app directory and opening the provided local URL.

The best way to visualize LLM agent telemetry data for debugging chain-of-thought failures is using a local dashboard that provides trace-level step analysis and tool call timeline visualization. This approach pinpoints exact failure points in agent chains while keeping sensitive monitoring data internal.