Agent Monitoring

Agent monitoring is the ongoing observation of an AI agent in production — tracking its outputs, outcomes, errors, and cost — to catch problems and verify quality.

Continuous monitoring detects degradation, drift, and failures that a one-time evaluation would miss, and supplies the data to enforce SLAs.

Monitoring outcomes against a benchmark turns raw activity logs into an actionable read on whether an agent is still performing.