Connect Langfuse to your AI agent

Developer Tools 10 actions available

Open source LLM engineering platform. Traces, evals, prompt management and metrics to debug and improve your LLM application.

We set up the connection using your own Langfuse account, with keys you control, and keep it running. Your agent picks it up and starts doing the work.

Book a setup call → See pricing
Actions

What your agent can do in Langfuse

Each one is a real action the agent can take on its own, the same things a person clicking around Langfuse could do. Read-only by default; write actions are confirmed against your policy.

  • Create Score Attach an evaluation score to exactly one Langfuse trace, session, or dataset run, optionally narrowing a trace score to an observation.
  • Get Annotation Queue Retrieve one Langfuse annotation queue by its ID.
  • Get Prompt Retrieve a Langfuse text or chat prompt by name, deployment label, or exact version, with optional dependency resolution.
  • List Annotation Queues List annotation queues configured for human evaluation in the connected Langfuse project.
  • List Dataset Items List dataset items, optionally scoped to a dataset, source trace or observation, or historical dataset version.
  • List Dataset Run Items List run items for a specific Langfuse dataset and run name.
  • List Datasets List datasets available to the connected Langfuse project.
  • List Experiments List Langfuse experiments active in a required time range, optionally including metadata and directly attached scores.
  • List Models List Langfuse-managed and project-custom model pricing definitions used for usage and cost calculation.
  • List Observations Search Langfuse observations such as generations, spans, events, agents, and tool calls, selecting only the field groups needed.
  • List Scores Search numeric, boolean, categorical, text, and correction scores with subject and annotation context.
  • Query Metrics Run an aggregate Langfuse metrics query over observations or numeric, boolean, or categorical scores.
  • Upsert LLM Connection Create or update a Langfuse LLM provider connection by provider name.
Setup

How we connect it

  1. 1

    Connect your account

    You create a key in Langfuse, a key you create and control, and paste it in once. It lives in a secrets store on your server, not with us.

  2. 2

    Set the guardrails

    Read-only by default. You choose which write actions the agent may take, and anything outside that policy gets confirmed with you first.

  3. 3

    We keep it running

    Health checks on every connection, updates handled for you, and we watch the first week of activity to make sure the work lands.

FAQ

Langfuse questions, answered.

With a key you create and control. You paste it in once, it is stored in a secrets store on your server, permissions are scoped to the minimum the agent needs, and you can revoke it at any time.
The actions Langfuse's API allows, the same things a person clicking around the app could do. Connections start read-only by default; write actions are confirmed against the policy you set before the agent takes them.
Connections are priced per tool on top of the base plan. Some are included, some are premium. See pricing for how connection charges work.
Standard tools are ready inside 7 business days of the setup call. We test the connection end to end, walk you through how the agent uses it, and watch the first week of activity.

Ready to put Langfuse to work?

Tell us what your team runs on. We set up the connection, secure it, and your agent takes it from there.

Book a setup call → Browse all connections

All product names, logos, and brands are property of their respective owners; used for identification only. ZeroToClaw is not affiliated with or endorsed by Langfuse.