Build a Complete Langfuse Observability and Evaluation Pipeline for Tracing, Prompt Management, Scoring, and Experiments
A tutorial demonstrates how to construct a full observability and evaluation pipeline for LLM applications using Langfuse, an open-source platform. The guide covers tracing, prompt management, scoring, and experiment execution, offering a practical workflow. It supports integration with OpenAI or a deterministic mock LLM, allowing users to explore Langfuse features without requiring paid model access. AI
IMPACT Provides a practical guide for developers to enhance LLM application development and deployment through enhanced observability and evaluation.