Langfuse v4 Brings Updated API for Tracing RAG Pipelines and AI Agents

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A developer tutorial published on DEV Community walks through adding observability to RAG and AI agent workflows using Langfuse v4, released in March 2026. Langfuse is an open-source tool that records execution time, input/output data, API costs, and latency for each step in an AI pipeline. The guide notes that Langfuse v4 introduced significant API changes, deprecating previously used methods such as langfuse_context and update_current_trace in favour of a revised interface. Developers can instrument their code by applying the @observe() decorator to Python functions, enabling automatic tracing with minimal changes. Langfuse offers a free cloud tier at cloud.langfuse.com as well as a self-hosted deployment option, making it accessible for individual developers and teams alike.

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