Send custom completions back to chat visitors

When a conversation starts in Charla, generate a completion in VLM Run and send a tailored message directly back to the visitor.

Try:

See all Charla + VLM Run integrations or talk to a human

Trusted by teams already building on Knit·

4.9/5 on G2·

Google for Startups Accelerator

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.

Charla Explore Charla →

Triggers

New conversation started

Fires when a new chat or conversation begins in Charla.

Lead captured in chat

Fires when Charla captures a lead during a conversation.

Conversation handed off

Fires when Charla escalates a conversation to a human.

Actions

Send a message

Sends a message to a user through Charla.

Generate an answer

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

Summarize a conversation

Uses Charla to summarize a chat transcript.

Create a ticket from a chat

Opens a support ticket from an Charla 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 Charla, automatically run the conversation text through VLM Run to classify intent and extract key contact metadata. See details

Alert support agents when model fine-tuning completes When a fine-tune job completes in VLM Run, automatically send a message through Charla to notify AI administrators that the updated model is ready. See details

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

Enterprise-grade security

Visit our Security Center Review the DPA

FAQ

Common questions

Can Knit build “Send custom completions back to chat visitors” between Charla and VLM Run?

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

Connecting Charla 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 Charla 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 Charla to notify system administrators.