raia VLM Run

Alert support agents when model fine-tuning completes

When a fine-tune job completes in VLM Run, automatically send a message through raia to notify AI administrators that the updated model is ready.

Try:

See all raia + VLM Run 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.

raia Explore raia →

Triggers
New conversation started

Fires when a new chat or conversation begins in raia.

Lead captured in chat

Fires when raia captures a lead during a conversation.

Conversation handed off

Fires when raia escalates a conversation to a human.

Actions
Send a message

Sends a message to a user through raia.

Generate an answer

Asks raia a question against its knowledge base and returns the answer.

Summarize a conversation

Uses raia to summarize a chat transcript.

Create a ticket from a chat

Opens a support ticket from an raia conversation.

VLM Run Explore VLM Run →

Triggers
New completion generated

Fires when VLM Run generates a response to a prompt.

Model run failed

Fires when a request to VLM Run errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in VLM Run finishes.

Actions
Generate a completion

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

Summarize text

Uses VLM Run to summarize a block of text.

Classify or extract data

Uses VLM Run to classify or extract structured data from text.

Extract lead details during chatbot conversations When a new lead is captured in chat via raia, automatically run the conversation text through VLM Run to classify intent and extract key contact metadata. See details
Send custom completions back to chat visitors When a conversation starts in raia, generate a completion in VLM Run and send a tailored message directly back to the visitor. See details

See all raia + VLM Run integrations →  ·  Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Alert support agents when model fine-tuning completes” between raia and VLM Run?

Yes — describe it in the box above and Knit's Integrations Agent researches raia and VLM Run'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 does connecting raia to VLM Run expand chatbot capabilities?

Connecting raia to VLM Run allows your chatbot to tap into advanced AI models for deeper context, sentiment classification, and sophisticated text generation beyond standard scripted responses.

Can raia notify operators if a backend model process encounters an issue in VLM Run?

Yes, when a model run fails in VLM Run, you can send an automated message or alert through raia to notify system administrators.

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