EvaluationBeginner

AI Observability Stack

Implement comprehensive monitoring and debugging for AI applications

1-3 weeks
1-2 people
5 tools
Key Tools
LangfuseHeliconeWeights & BiasesSentryOpenTelemetry
Implementation Steps
  1. 1

    Set up Langfuse for LLM request tracing

  2. 2

    Add Helicone as LLM proxy for caching and logging

  3. 3

    Integrate Sentry for error tracking with AI context

  4. 4

    Set up cost tracking and alerting

  5. 5

    Create dashboards for key AI metrics

  6. 6

    Implement correlation IDs across services

Expected Outcomes
  • Full visibility into AI system behavior
  • Cost tracking and optimization
  • Fast debugging of production issues
  • Performance baseline and monitoring
Pro Tips
  • Log prompts and responses for debugging
  • Set up cost alerts to avoid surprises
  • Create runbooks for common issues
  • Sample logs in high-volume scenarios
All PlaybooksExplore Tools