Chatbotic Langfuse

Send custom completions back to chat visitors

When a conversation starts in Chatbotic, generate a completion in Langfuse and send a tailored message directly back to the visitor.

Try:

See all Chatbotic + 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.

Chatbotic Explore Chatbotic →

Triggers
New conversation started

Fires when a new chat or conversation begins in Chatbotic.

Lead captured in chat

Fires when Chatbotic captures a lead during a conversation.

Conversation handed off

Fires when Chatbotic escalates a conversation to a human.

Actions
Send a message

Sends a message to a user through Chatbotic.

Generate an answer

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

Summarize a conversation

Uses Chatbotic to summarize a chat transcript.

Create a ticket from a chat

Opens a support ticket from an Chatbotic conversation.

Langfuse Explore Langfuse →

Triggers
New completion generated

Fires when Langfuse generates a response to a prompt.

Model run failed

Fires when a request to Langfuse errors or times out.

Fine-tune job completed

Fires when a fine-tuning job in Langfuse finishes.

Actions
Generate a completion

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

Summarize text

Uses Langfuse to summarize a block of text.

Classify or extract data

Uses Langfuse to classify or extract structured data from text.

Extract lead details during chatbot conversations When a new lead is captured in chat via Chatbotic, automatically run the conversation text through Langfuse 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 Langfuse, automatically send a message through Chatbotic to notify AI administrators that the updated model is ready. See details

See all Chatbotic + Langfuse integrations →  ·  Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Send custom completions back to chat visitors” between Chatbotic and Langfuse?

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

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

Can Chatbotic notify operators if a backend model process encounters an issue in Langfuse?

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

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