Create Score
Attach an evaluation score to exactly one Langfuse trace, session, or dataset run, optionally narrowing a trace score to an observation.
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Integrate Langfuse
with your AI CRM
Open source LLM engineering platform. Traces, evals, prompt management and metrics to debug and improve your LLM application.
Explore Triggers and Actions
Get Annotation Queue
Retrieve one Langfuse annotation queue by its ID.
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Get Prompt
Retrieve a Langfuse text or chat prompt by name, deployment label, or exact version, with optional dependency resolution.
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List Annotation Queues
List annotation queues configured for human evaluation in the connected Langfuse project.
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List Dataset Items
List dataset items, optionally scoped to a dataset, source trace or observation, or historical dataset version.
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List Dataset Run Items
List run items for a specific Langfuse dataset and run name.
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List Datasets
List datasets available to the connected Langfuse project.
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List Experiments
List Langfuse experiments active in a required time range, optionally including metadata and directly attached scores.
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List Models
List Langfuse-managed and project-custom model pricing definitions used for usage and cost calculation.
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List Observations
Search Langfuse observations such as generations, spans, events, agents, and tool calls, selecting only the field groups needed.
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List Scores
Search numeric, boolean, categorical, text, and correction scores with subject and annotation context.
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Query Metrics
Run an aggregate Langfuse metrics query over observations or numeric, boolean, or categorical scores.
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Upsert LLM Connection
Create or update a Langfuse LLM provider connection by provider name.
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How the Langfuse integration works
The Langfuse integration connects your Dench AI CRM directly to Langfuse, so agents can read and act on your Langfuse data as part of everyday work — answering questions in chat, keeping your CRM in sync, and running automations without anyone copying data between tools.
13 actions are available for agents to invoke on your behalf. Every call runs through Langfuse's own authorization, scoped to the account you connect.
Set up Langfuse in Dench
- 1
Sign in to your Dench workspace and open Integrations.
- 2
Find Langfuse and click Connect — you'll authorize access through Langfuse's own sign-in flow. No API keys or code required.
- 3
Ask an agent to use Langfuse in chat, or call it from an automation.
- 4
Manage or disconnect the connection any time from workspace settings.
Frequently asked questions
How does the Langfuse integration work with Dench?
The Dench Langfuse integration connects your AI CRM to Langfuse, so AI agents can work with your Langfuse data as part of chats, automations, and CRM workflows. You connect your account once, and every agent in your workspace can use it — governed by your workspace permissions.
What actions can AI agents perform with Langfuse via Dench?
The Langfuse integration currently exposes 13 actions, including Create Score, Get Annotation Queue, Get Prompt, List Annotation Queues, List Dataset Items, and List Dataset Run Items. Agents invoke them on your behalf from chat or from automations.
Do I need to write code to connect Langfuse to Dench?
No. You connect Langfuse from your Dench workspace using Langfuse's own sign-in and authorization flow — no API keys to copy, no glue code to maintain.
Is the Langfuse integration secure?
Connections are authorized through Langfuse's own authentication flow, and Dench stores only the authorization needed to act on your behalf. You can review and disconnect the Langfuse connection from your workspace settings at any time.