You Can't Improve What You Can't Measure
Production agents need rigorous evaluation. Unlike traditional software, agent behavior can drift and degrade over time without proper monitoring.
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LearnStep 1 of 3
Why Evaluation Matters
Learning Objectives
- •Design evaluation metrics for agents
- •Build automated evaluation pipelines
- •Measure accuracy, latency, and cost
Lesson Outline
LearnStep 1/3
Why Evaluation Matters
Key Metrics for Agent Evaluation
| Metric | What It Measures | Target |
|---|---|---|
| Task Completion Rate | % of queries resolved without escalation | >85% |
| Accuracy | Correctness of information provided | >95% |
| Hallucination Rate | % of responses with fabricated info | <2% |
| Latency (P50/P95) | Response time distribution | <2s/<5s |
| Cost per Query | Total API + compute cost | <$0.05 |
| Customer Satisfaction | Post-interaction ratings | >4.5/5 |
Evaluation Pipeline Architecture
python
Key Insight: Run evaluations on every code change (CI/CD) and regularly against production traffic samples. Don't wait for users to report problems.