How to Monitor AI Agents in Production
TLDR Monitoring AI agents in production requires distributed tracing: a single user request fans out into 10 or more internal operations, and logs alone cannot show you which step is slow, failing, or burning your token budget. OpenTelemetry's gen_ai.* semantic conventions give you standardized span attributes for LLM calls, tool invocations, and agent steps. Some are stable today; others are still experimental. Auto-instrumentation libraries (OpenLLMetry, OpenInference, OpenLIT) cover most ag...
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