🎯Core Definition
Distributed Tracing & LLM Observability (OpenTelemetry, LangSmith, Arize Phoenix, OpenLLMetry) provides the comprehensive telemetry and telemetry telemetry recording full lifecycles across production LLM and Agent pipelines; injecting a globally unique `Trace ID` and nested `Span IDs` at ingress, the framework instruments every execution stage: 1) Latency Telemetry: Time To First Token (TTFT), Time Per Output Token (TPOT), and total inference duration; 2) Cost & Token Auditing: tracking prompt tokens, completion tokens, prefix-cached tokens, and monetary cost attribution per tenant/model; 3) Runtime Payload Capture: recording fully rendered prompt templates, retrieved RAG chunk scores, Agent tool execution inputs/outputs, and safety guardrail verdicts.
💡Use Cases
Production LLM troubleshooting, debugging multi-step Agent reasoning loops/deadlocks, tenant cost chargebacks, and RAG hallucination auditing.
⚡Key Problems Solved
Classical APMs only trace raw HTTP spans, leaving LLM inference internals and multi-agent loops as opaque black boxes; LLM observability renders the full execution graph transparent from network ingress to individual token generation.