Evaluating Agent Performance
Learn methods and metrics for quantitatively assessing the effectiveness and reliability of your AI agents.
Why Evaluate Your Agent?
Building an AI agent is exciting, but how do you know if it's actually performing well? That's where evaluation comes in!
Agent evaluation is the process of assessing your agent's performance, reliability, and effectiveness. It helps you understand if your agent is doing what you designed it to do, and where it might need improvement.
What Metrics Matter?
When evaluating agents, we look at several key metrics. These help us quantify different aspects of performance:
- Accuracy: Does the agent provide correct answers or actions?
- Latency: How quickly does the agent respond?
- Cost: How much does it cost to run the agent (e.g., API calls)?
- Robustness: How well does it handle unexpected or varied inputs?
All lessons in this course
- LangSmith for Tracing & Monitoring
- Debugging Agent Thought Processes
- Evaluating Agent Performance
- Token Usage & Cost Monitoring