The Langfuse skill equips Claude with the specialized expertise required to architect and implement observability for LLM applications. It provides standardized patterns for tracing complex chains, managing prompt versions, and monitoring critical metrics like cost, quality, and latency. By integrating with popular frameworks like LangChain, OpenAI, and LlamaIndex, this skill enables developers to debug production issues, conduct A/B testing on prompts, and establish automated evaluation workflows to prevent regressions in AI performance.
Key Features
01Prompt versioning and centralized management
02Seamless integration with LangChain and OpenAI SDKs
031 GitHub stars
04End-to-end LLM tracing and span management
05Evaluation scoring and dataset creation for testing
06Detailed cost and latency tracking per generation
