Integration
Connect Federal Register to Langfuse
When something happens in Federal Register, your agent does the next thing in Langfuse. Describe it in plain language and the automation is built, tested on every branch and kept running.
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What do you want Federal Register and Langfuse to do together?
Describe it and your agent reads both APIs, builds the automation, tests every branch and ships it. The list below is what exists today, not the limit.
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Triggers and actions 2 triggers ยท 20 actions
Trigger
New documentPolling trigger that fires when a new Federal Register document is published, using GET /documents.{format} sorted by publication_date descending as the dedup source for regulatory monitoring.
Action
Find documentsSearch all Federal Register documents published since 1994 by term, agency, document type, publication/effective date, and docket number. Endpoint: GET /documents.{format}
Action
Find public inspection documentsSearch public inspection documents currently scheduled for future publication. Endpoint: GET /public-inspection-documents.{format}
Action
Get agencyFetch a particular agency's details by slug. Endpoint: GET /agencies/{slug}
Action
Get documentFetch a single Federal Register document by document_number, returning its full text and metadata. Endpoint: GET /documents/{document_number}.{format}
Action
Get issueFetch a document table of contents for the print edition based on publication_date. Endpoint: GET /issues/{publication_date}.{format}
Action
Get public inspection documentFetch a single public inspection document by document_number. Endpoint: GET /public-inspection-documents/{document_number}.{format}
Action
List agenciesFetch all agency details known to the Federal Register. Endpoint: GET /agencies
Trigger
New TracePolling trigger: fires for newly created traces (dedup by trace id / timestamp). GET /api/public/traces
Action
Add CommentAdd a comment to a trace/observation/session/prompt object. POST /api/public/comments
Action
Add DatasetCreate a new dataset. POST /api/public/v2/datasets
Action
Add Dataset ItemCreate an item (input/expected_output/metadata) in a dataset. POST /api/public/dataset-items
Action
Add PromptCreate a new prompt version (text or chat). POST /api/public/v2/prompts
Action
Add ScoreCreate a score attached to a trace/observation/session (numeric, categorical, or boolean). POST /api/public/scores
Action
Delete TraceDelete a trace by id. DELETE /api/public/traces/{traceId}
Action
Get ProjectReads the Langfuse project that the connection's project-scoped API key belongs to.
Action
Get PromptGet a prompt by name (and optional version/label). GET /api/public/v2/prompts/{promptName}
Action
Get TraceGet a single trace by id, including nested observations/scores. GET /api/public/traces/{traceId}
Action
List Dataset ItemsList items in a dataset. GET /api/public/dataset-items
Action
List DatasetsList all datasets in the project. GET /api/public/v2/datasets
Action
List PromptsList all prompts in the project. GET /api/public/v2/prompts
Action
List ScoresList scores with optional filters. GET /api/public/v2/scores
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
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