What LLM observability covers. Tracing (following a request through every step of a multi-step pipeline — input, each LLM call, tool invocations, retrieval, output), metrics (latency per step, token...

Instrument an LLM application with LangFuse. Add trace creation to every LLM call. Capture: input, output, model, tokens, cost, latency, metadata (user, feature, session). Verify traces appear in the...

"Walk me through how you'd set up observability for a production LLM application." Three layers: (1) Tracing — instrument every LLM call with LangFuse or OpenTelemetry. Capture input, output, model,...