Summarize call recordings automatically
When a new call recording becomes available in Sendmode Engage, pass the transcript to Langfuse to extract key takeaways and summary points.
See all Sendmode Engage + Langfuse integrations or talk to a human
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How Knit builds this workflow
The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.
Sendmode Engage Explore Sendmode Engage →
TriggersFires when a new text message is received in Sendmode Engage.
Fires when a new call comes in or out through Sendmode Engage.
Fires when a call is missed in Sendmode Engage.
Fires when a call recording finishes processing in Sendmode Engage.
Sends a text message through Sendmode Engage.
Starts an outbound call via Sendmode Engage.
Creates or updates a contact in Sendmode Engage.
Sends a recorded voice message via Sendmode Engage.
Langfuse Explore Langfuse →
TriggersFires when Langfuse generates a response to a prompt.
Fires when a request to Langfuse errors or times out.
Fires when a fine-tuning job in Langfuse finishes.
Sends a prompt to Langfuse and returns the model's response.
Uses Langfuse to summarize a block of text.
Uses Langfuse to classify or extract structured data from text.
More Sendmode Engage + Langfuse workflows
Send urgent text alerts on failed model runs
When a model run fails in Langfuse, instantly send a text message via Sendmode Engage to notify the engineering team.
See details
Auto-reply to inbound text messages with AI
When an incoming text message arrives in Sendmode Engage, use Langfuse to generate an intelligent answer and send it back to the customer.
See details
See all Sendmode Engage + Langfuse integrations → · Browse the full workflow library →
Common questions
Can Knit build “Summarize call recordings automatically” between Sendmode Engage and Langfuse?
Yes — describe it in the box above and Knit's Integrations Agent researches Sendmode Engage and Langfuse's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.
How long does it take to build?
Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.
How can AI enhance automated SMS responses?
When customers text your business, Langfuse can process the incoming message, extract key insights, or generate an intelligent reply, which Sendmode Engage then sends directly back to the customer.
Can I get text alerts when an AI job encounters an error?
Yes, whenever a run fails in Langfuse, an automated alert can be dispatched through Sendmode Engage so your team can investigate immediately.