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Documentation Index

Fetch the complete documentation index at: https://docs.knouds.ai/llms.txt

Use this file to discover all available pages before exploring further.

The Assistant node runs a large language model as a step in your pipeline. You can use it to generate text from a prompt, analyze an image, rewrite or expand output from another node, or extract structured data to pass downstream.

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Available models

The model picker lists all enabled LLM models. Claude Sonnet is available by default. Your workspace administrator can add other models — including GPT, Gemini, or any OpenAI-compatible endpoint — through the Node Builder.

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Input sockets

SocketTypeDescription
prompt-inText (orange)The user-turn prompt. Overrides what is typed in the node body.
image-inImage (pink)Image input for vision-capable models
system-inText (orange)System prompt. Overrides what is set in the side panel.
When a socket is connected, it takes precedence over the value typed directly on the node. This lets upstream nodes — like a Text Box with static instructions, or an Image Generator — drive the assistant automatically.

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Output sockets

SocketTypeDescription
analysis-out / text-outText (orange)The model’s text response
items-outAny (purple)Structured list output (when Export mode is set to List)

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Node body

The node body has two views you can toggle between using the icons in the top-right corner of the card:
  • Prompt view — shows what will be sent to the model. If the prompt-in socket is connected, this displays the incoming value.
  • Result view — shows the model’s response after a run. You can edit this text directly; edits persist and flow downstream.
While the model is running, the body shows an animated thinking indicator. Once the response starts arriving, it streams in character by character.

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Controls on the node

At the bottom of the node:
  • Model picker — select the LLM to use.
  • Export mode — choose Export as Text (returns the full response as a string) or Export as List (splits the response into individual items for use with a List node).
  • Settings icon — opens the side panel.
  • Run button — execute the node.

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Side panel inspector

Click the Settings icon to open the side panel. From there you can:
  • Write or edit the system prompt in a full-width text area
  • Configure the prompt for the current run
  • Adjust model-specific parameters such as temperature, max tokens, and reasoning effort (availability depends on the model)

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Credit cost

The node header shows the estimated credit cost before you run (for example, ~30 cr). The cost comes from the model definition and updates if an administrator changes the pricing.

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Common use cases

Prompt generation

Connect a Request Input → Assistant → Image Generator to let the LLM expand a short user description into a detailed image prompt before sending it to the generator.

Image analysis

Connect an Image Generator (or Media Upload) → Assistant to describe, classify, or extract information from images using a vision-capable model.

Text transformation

Chain two Assistant nodes to translate, rewrite, or summarize the output of the first before passing it downstream.

Structured extraction

Set Export mode to List and connect the items-out socket to a List node to turn a numbered response into individual items for batch processing.
To analyze a generated image, connect the image-out socket of an Image Generator to the image-in socket of an Assistant node. Then connect the Assistant’s text-out to a Response Output to return the analysis as text.