Build a Complete Langfuse Observability and Evaluation Pipeline for Tracing, Prompt Management, Scoring, and Experiments
Quick Take
This tutorial guides building a Langfuse pipeline for observability and evaluation without paid model access.
Key Points
- Implement Langfuse for tracing and prompt management.
- Use real OpenAI key or mock LLM for testing.
- Explore major Langfuse features in detail.
Article Excerpt
From source RSS / original summaryIn this tutorial, we implement the Langfuse (an open-source LLM engineering platform) pipeline for tracing, prompt management, scoring, datasets, and experiments. We build a complete workflow that works with either a real OpenAI key or a deterministic mock LLM, so we can understand every major Langfuse feature without depending on paid model access.
We start […] The post Build a Complete Langfuse Observability and Evaluation Pipeline for Tracing, Prompt Management, Scoring, and Experiments appeared first on MarkTechPost.
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