Build Better LLM Apps with Langfuse

Most teams shipping AI features today are iterating on instinct, tweaking prompts, swapping models, adjusting parameters, with no reliable way to know if the change actually made things better. That slow, blind cycle is the bottleneck between a prototype and a production-grade AI product. In this 2-hour online workshop gives engineers who are building production LLM applications the tooling and workflow to close that loop. Walk away with working traces, managed prompts, and a repeatable eval workflow. In this on-demand 2-hour Langfuse workshop, you will learn: - Full trace visibility across every agent step - Prompts versioned and managed outside your codebase - A monitoring setup that catches out-of-scope requests automatically - A dataset + eval run you can reuse on any future change What to prepare If you are interested in hands-on experience: - Node.js 18+ installed - A Langfuse Cloud account (free) — sign up at cloud.langfuse.com - An OpenAI API key with available credits