Refining the Agent Using Observability › Summary
AI Agent HandbookAll chapters Refining the Agent Using Observability › SummaryOne section · Sections in this chapter10 / 11 ↓
Observability isn't just about debugging. It's a tool for continuous improvement. By regularly monitoring your agent's logs, you can discover patterns in how your agent actually behaves, identify opportunities for improvement, and make targeted changes based on real data. Track quantitative metrics like retry rates, reasoning length, and response times. Build a continuous improvement loop: observe, improve, measure, repeat. Connect observability to evaluation by using logs to validate success criteria.
The key is making observability a habit. Set aside time regularly to review your agent's behavior. Each observation is an opportunity to make your assistant smarter, faster, and more reliable.
Your agent's logs tell the story of how it really works in practice. By listening to that story and acting on what you learn, you create an agent that gets better over time.