Build a Complete Langfuse Observability and Evaluation Pipeline for Tracing, Prompt Management, Scoring, and Experiments

TL;DR AI
1 min readKey summary
The tutorial shows how to set up Langfuse for LLM observability, tracing, and evaluation.
It traces function calls and a small RAG workflow while managing prompts centrally.
The pipeline attaches evaluation scores and supports dataset-based experiments.
Experiments can run with either a real OpenAI model or a deterministic mock backend.
