Agent Observability
Domain: Agent Fundamentals
🎯 Motivation
Monitoring what the agent is doing - its thoughts, actions, observations, and errors - for debugging and improvement.
📋 Concrete Example
Dashboards show: current step, actions taken, tool calls, token usage, errors, latency. If the agent loops or fails, observability helps you see exactly where and why.
🔗 Analogy
A fighter jet’s instrument panel - the pilot sees altitude, speed, fuel, weapons status at all times. If something goes wrong, the instruments show what. Agent observability is the instrument panel for AI agents.