Monitoring Prompt Performance in Production
Tracking latency, cost, quality scores, and failure rates per prompt version.
Why Monitor Prompt Performance?
A prompt deployed to production is not 'done'. Model behavior drifts with updates, user inputs change over time, and cost can spike unexpectedly. Continuous monitoring detects regressions before they hurt users and keeps spending predictable.
Key Metrics per Prompt Version
Track these five metrics per prompt version in production:
- Avg latency: time from request to full response (P50, P95, P99)
- Cost per call: input tokens × price + output tokens × price
- Quality score: automated eval (LLM-as-judge or task metric)
- Error rate: API errors + malformed output parse failures
- User satisfaction: thumbs rating, retry rate, session abandonment
All lessons in this course
- Prompt Registry Architecture
- Version Control for Prompts
- Deployment and Rollback Strategies
- Monitoring Prompt Performance in Production