Langfuse LLM Observability

关于

This skill transforms Claude into an LLM Observability Architect, providing expert guidance on integrating Langfuse into your AI applications. It enables comprehensive tracing of LLM calls, robust prompt versioning, and detailed performance monitoring across major frameworks like LangChain, LlamaIndex, and the OpenAI SDK. By utilizing this skill, developers can accurately track costs, manage complex evaluation datasets, and implement A/B testing to ensure production-grade reliability, quality, and low latency in their LLM-driven features.

主要功能

• Cost tracking and performance monitoring
• Prompt management and versioning
• Seamless integration with LangChain and OpenAI
• Automated evaluation and scoring
• End-to-end LLM tracing and observability
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使用场景

• Debugging and optimizing complex LLM chains and agents
• Running A/B tests to compare prompt performance in production
• Managing and versioning prompts independently from application code