STEP 1
Connect Amberscript 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.
Amberscript and Langfuse Integration
Build ai workflows between Amberscript and Langfuse on a visual canvas — set up data fields sync between apps once and let data flow when events come automatically. Integration will work without code and your team will see the workflow inside WEXTL® builder.
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Learn about Amberscript and Langfuse
Detailed info you need to know about Amberscript and Langfuse integrations in WEXTL. Explore which modules apps support and how you connect them.
Amberscript
Automated and human-verified subtitles and transcripts across 39 languages. [5]
How to connect Amberscript to Langfuse
Set up your Amberscript and Langfuse integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected Amberscript 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 Amberscript and Langfuse. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between Amberscript and Langfuse work in WEXTL?
WEXTL exposes actions and triggers for Amberscript 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.
Amberscript triggersLangfuse actions
Amberscript modules
- Delete a JobDeletes an existing job.
- Export to JSONExports transcription to JSON format.
- Export to SRTExports a transcription to SRT format.
- Export to TextExports transcription to TEXT format.
- Export to VTTExports transcription to VTT format.
- Get a Transcription StatusRetrieves the status of a transcription using a given job ID.
- Make an API CallPerforms an arbitrary authorized API call.
- Request Translated SubtitlesRequests translated subtitles with an uploaded file.
- Search JobsSearches for jobs.
- Upload a FileUploads a file from a given URL.
- Upload a FileUploads a file for transcription.
- Watch JobsTriggers when a job has reached a specified status.
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.
Explore alternative integrations
There are other apps [9] supported by WEXTL that can be paired with Amberscript and Langfuse integrations. Pick any from the list below if the current combination isn't the one you need.
Frequently asked questions
Common questions about connecting Amberscript and Langfuse.
Connect your Amberscript and Langfuse accounts once, pick a trigger in one app and an action in the other, then map the fields so data flows automatically between them. [3]
Example: when Amberscript's "Watch Jobs" fires, WEXTL can "Add Annotation Queue Item" in Langfuse. Amberscript has 1 trigger (including Watch Jobs); 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 — the integration works in both directions. Use each app's triggers to start a workflow and the other app's actions to update it. [2]
No. Amberscript-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 Amberscript (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 Amberscript + 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 Amberscript and Langfuse integration.
- Amberscript and Langfuse integration source code, module specs and credentials implementation.
- Our Amberscript and Langfuse integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for Amberscript 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.
- Amberscript integration information
- Langfuse integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library