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langfuse Plugin

Author
Langfuse
Category
Monitoring
Topics
Monitoring & Observability · AI Agents & AI App Development · Claude Code Customization & Workflow
First seen
2026-07-09
Last confirmed
2026-07-13
Explanation last updated
2026-07-12

The explanation below is AI-generated. Please verify it against the sources.

This item is "langfuse," a plugin providing Agent Skills that teach AI coding assistants such as Claude Code and Cursor how to work with Langfuse. According to the README, Langfuse is described as the open-source LLM engineering platform for tracing, prompt management, and evaluation. The package is distributed from the GitHub repository langfuse/skills and includes a main "langfuse" skill for querying and managing traces, prompts, datasets, and scores via the Langfuse API. Use requires a Langfuse account (cloud or self-hosted) and API keys. The homepage adds that Langfuse also offers a playground, human annotation, experiments, and cost/latency dashboards, and states it is used by 2,300+ companies.

Overview

Langfuse, per its homepage, is described as an open-source AI engineering platform that helps teams build, monitor, and improve LLM applications, covering tracing, prompt management, evaluations, and analytics dashboards in one place.

What you can do with langfuse

  • Install the langfuse skill via Cursor plugin (/add-plugin langfuse), the skills CLI (npx skills add langfuse/skills --skill "langfuse"), or manual symlink from a cloned repo (per the README)
  • Set up Langfuse tracing in a project (per the README)
  • Set up CI/CD experiment gates with langfuse/experiment-action (per the README)
  • Audit existing instrumentation (per the README)
  • Migrate prompts in a codebase to Langfuse prompt management (per the README)
  • Query traces, prompts, or datasets via the Langfuse API (per the README)
  • Look up Langfuse docs, SDK usage, or integration guides (per the README)
  • Requires a Langfuse account (cloud or self-hosted) and API keys (LANGFUSE_PUBLIC_KEY, LANGFUSE_SECRET_KEY, LANGFUSE_BASE_URL) found under Settings > API Keys (per the README)

Sources

Original description (English)

Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.

History of langfuse

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