About
This skill streamlines the integration of Langfuse observability into Python projects by analyzing code structure and providing tailored instrumentation patterns. It guides users through the correct implementation of traces, spans, and generations for various architectures including RAG and autonomous agents. By following its interactive workflow, developers can avoid common anti-patterns, ensure proper context propagation, and implement sophisticated scoring modules for production-grade AI monitoring and debugging.