Monitoring and Logging for Generative AI Systems
Monitoring and Logging for Generative AI Systems
AI systems require continuous monitoring. Without visibility, reliability cannot be guaranteed.
1) What to Monitor
- Latency
- Token usage
- Error rate
- API response quality
2) Logging Strategy
Store structured logs for:
- User queries
- Model responses
- Tool calls
3) Alert Systems
- High error rate alerts
- Cost spike alerts
- Performance degradation alerts
4) Enterprise Insight
Monitoring ensures AI systems remain trustworthy and cost-effective.
5) Summary
Observability is critical for scaling AI responsibly.
