Blueprints

Langfuse

Manage Langfuse prompts, traces, observations, datasets, scores, and metrics for LLM observability

Connect Ren to Langfuse for LLM observability and prompt management. Read and write prompts, inspect traces and observations, manage datasets and dataset runs, create and query scores and score configs, run analytics with queryMetrics, and manage annotation queues. Authenticate with a Langfuse public/secret API key pair (pk-lf-…:sk-lf-…); an optional allowlist can restrict the server to read-only tools.

MCPs

1
  • LangfuseManage Langfuse prompts, traces, observations, datasets, scores, and metrics for LLM observability

Skills

1
  • langfuseInteract with Langfuse and access its documentation. Use when needing to (1) query or modify Langfuse data programmatically via the CLI — traces, prompts, datasets, scores, sessions, and any other API resource, (2) look up Langfuse documentation, concepts, integration guides, or SDK usage, or (3) understand how any Langfuse feature works. This skill covers CLI-based API access (via npx) and multiple documentation retrieval methods.

Information

Capabilities
Interactive, Read, Write
Publisher
Langfuse
Documentation
View documentation
Setup

Set up Langfuse

Complete these steps before you use this App.

What you need

  • Username and password — Sign in to Langfuse.
  • LANGFUSE_PUBLIC_KEY — Langfuse project public key (pk-lf-…).
  • LANGFUSE_SECRET_KEY — Langfuse project secret key (sk-lf-…).
  • LANGFUSE_BASE_URL — Langfuse API base URL — region cloud (e.g. https://cloud.langfuse.com) or self-hosted.

Setup guide

In the Langfuse UI, open your project's settings and create or copy the API keys under Project settings → API Keys. Langfuse issues a public key and a secret key, used together as HTTP Basic Auth username/password or exported for the CLI as LANGFUSE_PUBLIC_KEY and LANGFUSE_SECRET_KEY. See Public API and CLI.

Open the full setup guide