7 agent observability metrics every developer should track, from cost per task to human intervention rate
goyalshaliniuk · x · 2026-11-03
Shalini Goyal lays out 7 metrics for monitoring AI agents: task success rate, task completion rate, end-to-end latency (avg/P95/P99), cost per successful task, tool call reliability, human intervention rate, and safety/policy violation rate. Key point: a fast agent isn't necessarily a good one—track whether it completes tasks correctly, uses resources efficiently, and operates safely. Suggested tools: Langfuse, LangSmith, Arize Phoenix, OpenTelemetry.
Related event: Developer Shares 7 Key Observability Metrics for AI Agent Deployment(3 posts)→
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