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Langfusedeveloper tools
13 available actions
What your AI agent can do in Langfuse
Open source LLM engineering platform. Traces, evals, prompt management and metrics to debug and improve your LLM application. This page lists every available action. Your agent only receives the actions and permissions required for the role you approve.
Showing all 13 actions.
Common starting points
- Get Annotation QueueRetrieve one Langfuse annotation queue by its ID.
- Get PromptRetrieve a Langfuse text or chat prompt by name, deployment label, or exact version, with optional dependency resolution.
- Create ScoreAttach an evaluation score to exactly one Langfuse trace, session, or dataset run, optionally narrowing a trace score to an observation.
- Upsert LLM ConnectionCreate or update a Langfuse LLM provider connection by provider name.
Browse all 13 actions by capability
Open a capability to see every supported action and its description.
Find & reviewLook up and review existing recordsView 11 actions
- Get Annotation QueueRetrieve one Langfuse annotation queue by its ID.
- Get PromptRetrieve a Langfuse text or chat prompt by name, deployment label, or exact version, with optional dependency resolution.
- List Annotation QueuesList annotation queues configured for human evaluation in the connected Langfuse project.
- List Dataset ItemsList dataset items, optionally scoped to a dataset, source trace or observation, or historical dataset version.
- List Dataset Run ItemsList run items for a specific Langfuse dataset and run name.
- List DatasetsList datasets available to the connected Langfuse project.
- List ExperimentsList Langfuse experiments active in a required time range, optionally including metadata and directly attached scores.
- List ModelsList Langfuse-managed and project-custom model pricing definitions used for usage and cost calculation.
- List ObservationsSearch Langfuse observations such as generations, spans, events, agents, and tool calls, selecting only the field groups needed.
- List ScoresSearch numeric, boolean, categorical, text, and correction scores with subject and annotation context.
- Query MetricsRun an aggregate Langfuse metrics query over observations or numeric, boolean, or categorical scores.
Create & communicateCreate records or send supported messagesView 1 action
- Create ScoreAttach an evaluation score to exactly one Langfuse trace, session, or dataset run, optionally narrowing a trace score to an observation.
Update & manageChange and manage existing recordsView 1 action
- Upsert LLM ConnectionCreate or update a Langfuse LLM provider connection by provider name.
Connection record
A connection you can control.
- Sign-in
- Customer-managed key
- Setup
- Use a key you create and control. It is stored securely and limited to the work agreed for the role.
- Boundaries
- Only the approved role and actions.
- Off switch
- Revoke the connection from your account.
FAQ
Before you connect Langfuse
How does the agent connect to Langfuse?
With a key you create and control. It is stored securely, permissions are limited to what the agent needs, and you can revoke it at any time.
What can the agent actually do in Langfuse?
The page above lists the 13 actions currently available through the Langfuse connection. The role determines which of those actions the agent may use, and write access is only enabled when the workflow needs it.
Is Langfuse included in my plan?
Connections are priced per tool on top of the base plan. Some are included and some are premium. See pricing for how connection charges work.
How long until Langfuse is ready?
Timing depends on the sign-in method, permissions and workflow being connected. We confirm the scope and setup plan before enabling the connection.
Bring the workflow together
Ready to put Langfuse to work?
Start with the responsibility you want off your plate. We’ll map the connection and the boundaries around it.