Flying Blind is Not an Option
Production AI systems need comprehensive observability. Unlike traditional software, agent behavior can degrade subtly without obvious errors.
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LearnStep 1 of 3
Observability for AI Systems
Learning Objectives
- •Implement comprehensive logging
- •Build alerting systems
- •Create dashboards for agent health
Lesson Outline
LearnStep 1/3
Observability for AI Systems
Essential Metrics to Track
| Category | Metric | Alert Threshold |
|---|---|---|
| Performance | Response latency P95 | > 5s |
| Reliability | Error rate | > 1% |
| Quality | Escalation rate | > 20% |
| Cost | Cost per query | > $0.10 |
| Safety | Injection attempts | > 10/hour |
Structured Logging Pattern
python
Alerting Rules
python
Golden Rule: If you can't measure it, you can't improve it. Log everything, alert on what matters, and review dashboards daily.