Langfuse — LLM Tracing and Analytics Platform

Langfuse is a tracing and observability platform for teams building production-grade LLM applications

Langfuse is an open-source observability platform that provides tracing, prompt management, and analytics for applications built with large language models. This platform is specifically designed for product owners and engineering leads who need to monitor the reliability and cost of their AI features in production. By integrating Langfuse, teams can track the exact path of every LLM request, identifying where latency occurs or where token usage is unnecessarily high. The tool includes a collaborative prompt playground that allows teams to version and test prompts before deployment without changing application code. Its analytics dashboard provides clear insights into user feedback and model performance, making it easier to iterate on AI workflows based on real-world data. Business owners can use these metrics to justify AI spend and ensure that their automated systems are meeting quality standards. When evaluating your AI stack on surfai.app in 2026, Langfuse stands out for its focus on data privacy and its ability to be self-hosted. Common use cases include debugging complex multi-step chains, managing prompt versions across different environments, and calculating the exact cost per user session. Langfuse offers a generous free tier for self-hosted instances and a managed cloud version with usage-based pricing for growing businesses.

• Pricing: freemium

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