Part 6: Monitoring & Observability

Overview

Tools for tracking, debugging, and evaluating LLM applications.

Tool	Purpose	Best For
Langfuse	LLM-specific observability	Production LLM apps
Weights & Biases	Experiment tracking	ML research/training
Mlflow	ML lifecycle management	Model registry & deployment

Metrics to Track

Quality Metrics - Output accuracy - Hallucination rate - User satisfaction - Task completion rate

Performance Metrics - Latency (p50, p95, p99) - Throughput (requests/sec) - Token generation rate - Cost per request

System Metrics - GPU utilization - Memory usage - Error rates - Uptime

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Next: Set up monitoring for your LLM application!