Requirements
Connecting Langfuse takes an active account plus an API access token from your account settings — no other setup is required.[3]
Get your Langfuse credentials
Connect Langfuse in WEXTL
- Log in to your WEXTL account, add the Langfuse node module to your workflow, and click Create new credential.
- Optional: In the Credential name field, enter a name for the credential.
- Enter the authentication credentials you copied from your Langfuse account, or follow the on-screen instructions to create the credential.
- If prompted, authenticate your account and confirm access.
- If you want to make changes to your credential in the future, follow the steps in Manage credentials →
Notes
Credentials are org-scoped; share them with teammates from the Credentials picker on any of its nodes.For detailed information on connecting an application, see Connect an application →
Langfuse node modules
The list below is a reference of every Langfuse node module the integration supports. You will be able to pick any of them on the workflow canvas while building automations.
Expand any Langfuse node module below to see exactly what it takes in, what it returns, and what connection it needs.
Get Annotation QueueSearch
Get Annotation Queue ItemSearch
Get Blob Storage IntegrationSearch
Get CommentSearch
Get DatasetSearch
Get Dataset ItemSearch
Get Dataset RunSearch
Get Evaluation RuleSearch
Get EvaluatorSearch
Get Evaluator VersionsSearch
Get MediaSearch
Get MetricsSearch
Get ProjectsSearch
| Field | Type |
|---|---|
| ID | text |
| Name | text |
| Status | text |
| Created at | date |
| Updated at | date |
| Data | text |
Get PromptSearch
Get Prompt VersionSearch
Get ScoreSearch
Get SessionSearch
Get TraceSearch
List Annotation Queue ItemsSearch
List Annotation QueuesSearch
List Blob Storage IntegrationsSearch
List CommentsSearch
List Dataset ItemsSearch
List Dataset RunsSearch
List DatasetsSearch
List Evaluation RulesSearch
List EvaluatorsSearch
List Experiment ItemsSearch
List ExperimentsSearch
List LLM ConnectionsSearch
| Field | Type |
|---|---|
| ID | text |
| Name | text |
| Status | text |
| Created at | date |
| Updated at | date |
| Data | text |
List ObservationsSearch
List PromptsSearch
List ScoresSearch
List SessionsSearch
List TracesSearch
Add Annotation Queue ItemAction
Create Annotation QueueAction
Create CommentAction
Create DatasetAction
Create Dataset ItemAction
Create Evaluation RuleAction
Create EvaluatorAction
Create PromptAction
Create ScoreAction
Create TraceAction
Delete Annotation Queue AssignmentsAction
Delete Blob Storage IntegrationAction
Delete Dataset ItemAction
Delete Dataset RunAction
Delete Evaluation RuleAction
Delete EvaluatorAction
Delete LLM ConnectionAction
Delete PromptAction
Delete ScoreAction
Delete TraceAction
Ingest Traces (OpenTelemetry)Action
Make an API Calluniversal
Submit FeedbackAction
Update Annotation Queue ItemAction
Update Blob Storage IntegrationAction
Update Evaluation RuleAction
Update EvaluatorAction
Update LLM ConnectionAction
Templates
Look for Langfuse templates in the WEXTL template library.
Browse templates →Explore alternative apps
- AgentX[2]Hosted AI agents — start conversations, send messages, and read traces.
- AWS TranscribeTranscribe audio and video files and manage custom vocabularies with Amazon Transcribe.
- AirtopRun cloud browser sessions and extract or interact with web pages using Airtop.
- AWS ComprehendAmazon's natural language processing service for finding insights in text.
- Alibaba Cloud (Qwen)Alibaba Cloud's Model Studio platform for Qwen language, vision, and media models.
References
- WEXTL® Langfuse Source Code connector implementation.
- Our users use cases and automations.
- Official API Documentation for Langfuse.
- WEXTL® visual workflow builder data.
Last updated: Sep 3, 2026 17:50