Langfuse Observability

概要

This skill enables developers to integrate robust observability into their LLM-powered applications by providing a pre-configured instrumentation layer for the Langfuse SDK. It facilitates the tracking of critical metrics such as token usage, costs, latencies, and error rates, while offering ready-to-use Prometheus configurations and Grafana dashboard templates to visualize application health and performance in real-time. It is essential for teams looking to maintain production-grade reliability and cost control over their AI features.

主な機能

• Custom Prometheus metrics for traces, generations, and token costs
• Instrumented TypeScript wrapper for automatic Langfuse telemetry
• Pre-configured Grafana dashboard JSON for LLM performance visualization
• Production-ready AlertManager rules for error rates and latency spikes
• Metrics endpoint implementation for Next.js and Express environments
• 1,243 GitHub stars

ユースケース

• Debugging performance bottlenecks and high-latency generation pipelines
• Monitoring production LLM application costs and token consumption in real-time
• Setting up proactive alerts for high LLM error rates or service disruptions