Langfuse

Answer-first: Traditional Application Performance Monitoring (APM) tools fail to capture generative AI failure modes because an HTTP 200 response can still contain complete factual hallucinations, toxic responses, or $50.00 runaway token loops. Modern AI Observability implements OpenTelemetry GenAI Semantic Conventions v1.30+, correlating distributed multi-agent traces with token spend, Time-to-First-Token (TTFT), and automated LLM-as-a-Judge evaluation pipelines (Ragas / Phoenix). 1. The Fatal Blind Spot of Traditional APM In microservices architectures, Site Reliability Engineers (SREs) rely on the Four Golden Signals: Latency, Traffic, Errors, and Saturation. ...

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.