Unifire SMSAPI

Summarize call recordings automatically

When a new call recording becomes available in SMSAPI, pass the transcript to Unifire to extract key takeaways and summary points.

Try:

See all Unifire + SMSAPI 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.

Unifire Explore Unifire →

Triggers
New completion generated

Fires when Unifire generates a response to a prompt.

Model run failed

Fires when a request to Unifire errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in Unifire finishes.

Actions
Generate a completion

Sends a prompt to Unifire and returns the model's response.

Summarize text

Uses Unifire to summarize a block of text.

Classify or extract data

Uses Unifire to classify or extract structured data from text.

SMSAPI Explore SMSAPI →

Triggers
New inbound SMS

Fires when a new text message is received in SMSAPI.

New call

Fires when a new call comes in or out through SMSAPI.

Missed call

Fires when a call is missed in SMSAPI.

Call recording ready

Fires when a call recording finishes processing in SMSAPI.

Actions
Send an SMS or MMS

Sends a text message through SMSAPI.

Place an outbound call

Starts an outbound call via SMSAPI.

Create or update a contact

Creates or updates a contact in SMSAPI.

Send a voice message

Sends a recorded voice message via SMSAPI.

Send urgent text alerts on failed model runs When a model run fails in Unifire, instantly send a text message via SMSAPI to notify the engineering team. See details
Auto-reply to inbound text messages with AI When an incoming text message arrives in SMSAPI, use Unifire to generate an intelligent answer and send it back to the customer. See details

See all Unifire + SMSAPI integrations →  ·  Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Summarize call recordings automatically” between Unifire and SMSAPI?

Yes — describe it in the box above and Knit's Integrations Agent researches Unifire and SMSAPI'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, Unifire can process the incoming message, extract key insights, or generate an intelligent reply, which SMSAPI 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 Unifire, an automated alert can be dispatched through SMSAPI so your team can investigate immediately.

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