STEP 1
Connect DeepL 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.
DeepL and Langfuse Integration
Align data between DeepL and Langfuse to automate ai workflows. Actions made in DeepL integration can trigger sequences of multiple actions inside Langfuse app - automatically, without any line of code.
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Learn about DeepL and Langfuse
Detailed info you need to know about DeepL and Langfuse integrations in WEXTL. Explore which modules apps support and how you connect them.
How to connect DeepL to Langfuse
Set up your DeepL and Langfuse integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected DeepL 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 DeepL and Langfuse. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between DeepL and Langfuse work in WEXTL?
WEXTL exposes actions and triggers for DeepL 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.
DeepL actionsLangfuse actions
DeepL modules
- Correct TextFixes spelling and grammar without rewriting for style.
- Create Custom InstructionAdds a custom instruction to a style rule list.
- Create Developer KeyCreates a new developer API key for the organization.
- Create GlossaryCreates a glossary with one or more dictionaries.
- Create Quality Evaluation JobStarts a job that scores translation quality for a set of segments.
- Create Spoken Terms CollectionCreates a Spoken Terms collection with one or more term lists.
- Create Style Rule ListCreates a style rule list for one language.
- Create Voice Streaming SessionCreates a real-time voice streaming session and returns its URL and token.
- Create Voice Translation JobStarts an asynchronous job that translates an audio file.
- Deactivate Developer KeyDeactivates an existing developer API key.
- Delete Custom InstructionDeletes a custom instruction.
- Delete GlossaryDeletes a glossary permanently.
- Delete Spoken Terms CollectionDeletes a Spoken Terms collection.
- Delete Spoken Terms Term ListDeletes the term list for one language.
- Delete Style Rule ListDeletes a style rule list.
- Delete Translation MemoryDeletes a translation memory and all of its segments.
- Export Translation MemoryStarts a job that exports a translation memory as TMX.
- Get Custom InstructionReturns a single custom instruction.
- Get Custom Tag Usage Statistics (Admin)Returns usage statistics broken down by custom tag.
- Get Document Translation StatusReturns the current status of a document translation.
- Get GlossaryReturns a single glossary and its dictionary metadata.
- Get Glossary EntriesReturns the entries of one glossary dictionary.
- Get Language ResourcesReturns every DeepL resource and the features it supports.
- Get Quality Evaluation ResultReturns the result of a quality evaluation job.
- Get Spoken Terms CollectionReturns a single Spoken Terms collection.
- Get Spoken Terms EntriesReturns the terms for one language in a collection.
- Get Style Rule ListReturns a single style rule list.
- Get Translation MemoryReturns a single translation memory.
- Get Translation Memory Job StatusReturns the status of a translation-memory import or export job.
- Get Usage and LimitsReturns character usage and limits for the current billing period.
- Get Usage Statistics (Admin)Returns organization usage statistics for a date range.
- Get Voice Translation Job StatusReturns the status of a voice translation job.
- Import Translation MemoryStarts a job that imports a TMX file into a new translation memory.
- Improve TextRewrites text for a chosen writing style or tone.
- List Developer KeysRetrieves every developer API key in the organization.
- List GlossariesRetrieves all glossaries and their metadata.
- List Spoken Terms CollectionsRetrieves all Spoken Terms collections.
- List Style Rule ListsRetrieves the account's style rule lists.
- List Supported LanguagesRetrieves the languages a DeepL resource supports.
- List Translation MemoriesRetrieves the account's translation memories.
- List Translation Memory SegmentsLists the segments stored in a translation memory.
- Make an API CallPerforms an arbitrary authorized API call.
- Remove Glossary DictionaryDeletes one language-pair dictionary from a glossary.
- Rename Developer KeyChanges the label on a developer API key.
- Request Voice ReconnectionReturns a fresh streaming URL and token for an interrupted session.
- Retrieve Translated DocumentDownloads the finished translated document.
- Set Developer Key LimitsSets monthly usage limits on a developer API key.
- Translate TextTranslates one or more texts into a target language.
- Update Custom InstructionReplaces a custom instruction.
- Update GlossaryUpdates a glossary's name or one of its dictionaries.
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 DeepL and Langfuse.
Connect your DeepL 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 DeepL's "Correct Text" action to perform Langfuse's "Add Annotation Queue Item" action. DeepL has 56 actions (including Correct Text, Create Custom Instruction, and Create Developer Key); 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. DeepL-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 DeepL (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 DeepL + 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 DeepL and Langfuse integration.
- DeepL and Langfuse integration source code, module specs and credentials implementation.
- Our DeepL and Langfuse integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for DeepL 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.
- DeepL integration information
- Langfuse integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library