Production LLM observability stands on two legs: distributed tracing that records every model call, and evaluation that scores whether those calls were any good. The OpenTelemetry GenAI semantic conventions now give both legs a shared foundation, because they define a common span vocabulary for generative AI operations that any SDK …
Editorial team 
Three SLO Layers For AI Reliability Systems In 2026
Traditional SRE metrics—availability, latency, error rate—measure whether systems are up, not whether they’re useful. A 99.4% uptime dashboard once masked an AI agent returning HTTP 200s while generating unusable reports, a silent regression from a cheaper model swap. This gap between infrastructure health and task completion drives the three-layer SLO …
Editorial team