STEP 1
Connect AgentX and Langfuse
Save credentials in WEXTL once. We store them encrypted and reuse the authorization across every workflow [3]. No coding or API skills required.
AgentX and Langfuse Integration
Build ai integration workflows between AgentX and Langfuse applications in 3 simple steps. Pick an action inside AgentX, then subsequent action inside Langfuse, map fields once and automation will run exactly how you set it in visual builder.
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Learn about AgentX and Langfuse
Detailed info you need to know about AgentX and Langfuse integrations in WEXTL. Explore which modules apps support and how you connect them.
How to connect AgentX to Langfuse
Set up your AgentX and Langfuse integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected AgentX and Langfuse nodes onto the canvas [4], or describe what you want and WEXTL wires the flow together with AI Builder.
STEP 3
Map your data
Choose which fields need to sync between AgentX and Langfuse. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between AgentX and Langfuse work in WEXTL?
WEXTL exposes actions and triggers for AgentX and Langfuse that help you connect apps and automate repetitive tasks [1]. A trigger is an event that happens, an action — a step that performs when the event has occurred.
AgentX actionsLangfuse actions
AgentX modules
- Create ConversationCreates a new conversation with an agent.
- Create SpeechSynthesizes speech from text.
- Create Speech StreamSynthesizes speech from text.
- Delete Conversation ContextClears a conversation's memory context.
- Get AgentReturns an agent's info and current configuration.
- Get ConversationReturns a conversation and its messages.
- Get Message TraceReturns the prompt-trace id for a message.
- Get ProfileReturns the authenticated user profile.
- Get TraceReturns detailed prompt-trace information.
- List AgentsRetrieves the agents this key can use.
- List ConversationsRetrieves conversations for an agent.
- Make an API CallPerforms an arbitrary authorized API request to the AgentX API.
- Send MessageSends a message to a conversation.
- Send Message and WaitSends a message and waits for the full reply.
- Send Message and Wait for JSONSends a message and waits for the full reply.
- Send Message with AttachmentSends a message with a file to a conversation.
- Send Speech RecognitionTranscribes speech from audio.
- Update Conversation ContextAdds memory context to a conversation without sending a chat.
- Update Message VoteRecords a vote on a conversation message.
Langfuse modules
- Add Annotation Queue ItemCreates annotation queue item.
- Create Annotation QueueCreates annotation queue.
- Create CommentCreates comment.
- Create DatasetCreates dataset.
- Create Dataset ItemCreates dataset item.
- Create Evaluation RuleCreates evaluation rule.
- Create EvaluatorCreates evaluator.
- Create PromptCreates prompt.
- Create ScoreCreates score.
- Create TraceCreates trace (submitted via the legacy batch ingestion endpoint — Langfuse removed the direct v1 POST /traces operation).
- Delete Annotation Queue AssignmentsDeletes annotation queue assignments.
- Delete Blob Storage IntegrationDeletes blob storage integration.
- Delete Dataset ItemDeletes dataset item.
- Delete Dataset RunDeletes dataset run.
- Delete Evaluation RuleDeletes evaluation rule.
- Delete EvaluatorDeletes evaluator.
- Delete LLM ConnectionDeletes llm connection.
- Delete PromptDeletes prompt versions. If neither version nor label is specified, all versions of the prompt are deleted.
- Delete ScoreDeletes score.
- Delete TraceDeletes trace.
- Get Annotation QueueReturns annotation queue.
- Get Annotation Queue ItemReturns annotation queue item.
- Get Blob Storage IntegrationReturns blob storage integration.
- Get CommentReturns comment.
- Get DatasetReturns dataset.
- Get Dataset ItemReturns dataset item.
- Get Dataset RunReturns dataset run.
- Get Evaluation RuleReturns evaluation rule.
- Get EvaluatorReturns evaluator.
- Get Evaluator VersionsReturns evaluator versions.
- Get MediaReturns media.
- Get MetricsReturns metrics.
- Get ProjectsReturns projects.
- Get PromptReturns prompt.
- Get Prompt VersionReturns a specific prompt version (explicit reuse of the Get Prompt operation, pinned to a version number).
- Get ScoreReturns a score (supports both trace and session scores).
- Get SessionReturns session.
- Get TraceReturns trace.
- Ingest Traces (OpenTelemetry)Performs ingest traces (opentelemetry).
- List Annotation Queue ItemsRetrieves a list of annotation queue items.
- List Annotation QueuesRetrieves a list of annotation queues.
- List Blob Storage IntegrationsRetrieves a list of blob storage integrations.
- List CommentsRetrieves a list of comments.
- List Dataset ItemsRetrieves a list of dataset items.
- List Dataset RunsRetrieves a list of dataset runs.
- List DatasetsRetrieves a list of datasets.
- List Evaluation RulesRetrieves a list of evaluation rules.
- List EvaluatorsRetrieves a list of evaluators.
- List Experiment ItemsRetrieves a list of experiment items.
- List ExperimentsRetrieves a list of experiments.
Frequently asked questions
Common questions about connecting AgentX and Langfuse.
Connect your AgentX and Langfuse accounts once, pick an action in one app and an action in the other, then map the fields so data flows automatically between them. [3]
Example: use AgentX's "Create Conversation" action to perform Langfuse's "Add Annotation Queue Item" action. AgentX has 19 actions (including Create Conversation, Create Speech, and Create Speech Stream); Langfuse has 64 actions (including Add Annotation Queue Item, Create Annotation Queue, and Create Comment). Add filters and transforms between steps when you need them. [1]
Yes — pick an action in either app, then an action in the other, and map the fields between them. [2]
No. AgentX-to-Langfuse automations are built visually on the canvas. You can optionally add custom JavaScript with Functions when you need advanced logic. [4]
Yes. Trigger-based automations start the moment AgentX (or Langfuse) fires a new event — webhook-backed apps run within seconds, and polling-only apps re-check on a schedule you control. [7]
A first automation typically takes 5–10 minutes: connect each app's credential once, drop a trigger + action onto the canvas, map the fields, and turn the workflow on.
You can build your AgentX + Langfuse automation on a 3-day trial with every feature unlocked. Cancel anytime. For your protection, a small deposit is charged to your card when your trial starts. It counts toward your first payment and is non-refundable. [8]
References
List of sources used to gather information about the AgentX and Langfuse integration.
- AgentX and Langfuse integration source code, module specs and credentials implementation.
- Our AgentX and Langfuse integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for AgentX and Langfuse — used to verify field meanings, authentication flows, and anything our own specs don't fully capture.
- WEXTL® visual workflow builder, anonymized data from our technical support team.
- AgentX integration information
- Langfuse integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library