LLM Tracing

Production AI observability harness in Go leveraging OpenTelemetry GenAI Semantic Conventions (v1.42.0+). Features zero-allocation streaming LLM channel tracing with context.WithoutCancel, W3C context propagation, OTTL token cost attribution in OTel Collector, and low-cardinality Prometheus metric conversion.

Production AI Observability: Building Zero-Overhead LLM Tracing & Cost Attribution with OpenTelemetry in Go Section 1: Executive Summary & Overview Observability for Large Language Model (LLM) applications and multi-agent systems introduces fundamentally new engineering challenges that break traditional Application Performance Monitoring (APM) assumptions. Standard microservice APMs (such as Jaeger, Datadog, or Zipkin) were architected for deterministic RPC calls—request-response pairs characterized by short execution durations (50ms–200ms), bounded payloads, and static compute costs. ...