Summarization

Turn a long text into a short summary with a chat model.

Try it

Workflow · summarize-this-page.awf 4 Schritte

Summarize This Page: ein Workflow mit 4 Schritten, beginnend mit Run now und endend mit Show the summary.

1. 1 Run now(When Started – zur Dokumentationsseite) When Started
2. 2 Read the current page(Get All Text – zur Dokumentationsseite) Get All Text
3. 3 Summarize it(Summarization – zur Dokumentationsseite) Summarization + Local AI model
4. 4 Show the summary(Display Markdown – zur Dokumentationsseite) Display Markdown

In AWFlow öffnen .awf kopieren

What it does

Summarization sends Text to the chat model connected to Model, asking for a concise summary that keeps the key points. The reply comes back in summary.

Max words and Style are added to the model’s instructions. They guide the model; they do not cut the text afterwards, so a summary can run a little over Max words.

The whole text is sent in one request, so it must fit the model’s context window.

When to use it

• Summarise an article or a long page before you read it.
• Shorten a transcript, an email thread or a report before you save or send it.
• Make compact context for another AI step.

To summarise on-device without a model node, use Summarize. For any other kind of rewrite, use Basic LLM Chain.

Inputs and settings

Einstellung	Typ	Was es bewirkt
Text PFLICHT(erforderlich)	Long text	The text to summarize.
Options	Group	The options for the node.
Options › Max words	Number	The approximate maximum number of words the summary should contain.
Options › Style	Text	The style of the summary, e.g. "bullet points", "one paragraph", "formal".
Options › System message	Long text	The system message to use.

Fill Text with an expression such as {{ $input.text }}. Style is free text: bullet points, one paragraph, formal, for a ten-year-old. Use System message for other rules, such as Write in French.

Outputs

• Output

Each output item has these fields:

Field	Typ	What it holds
summary	Any	The model reply; the parsed result when an output parser is connected

Shape of an output item

{
  "summary": null
}

summary is the summary as text. This node has no output parser slot. Use it downstream with {{ $input.summary }}.

Dependencies and credentials

Slot	Accepts	Connections
Model PFLICHT(erforderlich)	chat model	One node.

Connect a chat model such as Chat OpenAI, Chat Anthropic or an on-device Web LLM. The model node holds the API key; Summarization has no credential of its own.

Example workflow

1. Get All Text reads the current page, with Output field name text and Visible text only on.
2. Summarization with Text {{ $input.text }}, Max words 120 and Style bullet points, with an Chat OpenAI model on Model.
3. Display Markdown with Content {{ $input.summary }}.

Common issues

• The summary is longer than Max words. The limit is an instruction, not a hard cut. Lower it, or add Never exceed the word limit. in System message.
• The model fails on a very long page. The text is larger than the model’s context window. Use a model with a larger window, or shorten the text first (for example with a DOM Selector in Get All Text).
• “Dependency model is required”. Connect a chat model to the Model slot.
• “Model not found”. The connected model node is not set up: open it and choose a model and its credential.

Recipes with this node

Summarize the page you're reading, on your device Anfänger · 5 Min. Auf dem Gerät

Related nodes

• Summarize: on-device summaries, no model node needed.
• Basic LLM Chain: any prompt, any rewrite.
• Information Extractor: pull specific fields instead of a summary.