Langfuse LLM Observability

This skill transforms Claude into an LLM Observability Architect, providing expert guidance on integrating Langfuse into production environments. It covers the full lifecycle of LLM application development, including detailed tracing of spans, advanced prompt versioning, and rigorous evaluation of output quality. Whether you are debugging latency issues, conducting A/B tests on prompts, or tracking token costs, this skill ensures your LLM stack remains transparent and measurable through seamless integrations with OpenAI, LangChain, and LlamaIndex.

Key Features

Use Cases