Integration
Connect Bannerbear to Langfuse
When something happens in Bannerbear, 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.
Build it
What do you want Bannerbear 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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Connect Claude CodeEverything your agent can do with Bannerbear and Langfuse
Triggers and actions 7 triggers ยท 21 actions
Trigger
New Animated GifTriggers when a new animated gif has 100% rendered
Trigger
New ImageTriggers when a new image has been generated.
Trigger
New MovieTriggers when a new movie has 100% rendered
Trigger
New TemplateTriggers when there's a new template.
Trigger
New VideoTriggers when a new video has 100% rendered
Trigger
New Video TemplateTriggers when a new Video Template is created
Action
Create Animated GifCreates an Animated Gif
Action
Create ImageGenerates a new Image
Action
Create MovieJoins multiple clips / images into a movie with transitions
Action
Create ScreenshotTake a screenshot of a website
Action
Find Animated GifFinds an Animated Gif
Action
Find ImageFinds an Image.
Action
Find MovieReturns a single movie by its unique identifier, including its render status, progress and the final movie URL once rendering has completed.
Action
Join PDF FilesJoin multiple PDF files into a single PDF
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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