Summarization
OpenAI Plugin – Summarization Action
Summary (SEO Meta Description):
The Summarization Action of the OpenAI Plugin condenses long text into concise summaries using advanced OpenAI models.
It enables workflows to automatically extract key insights and deliver clear, readable summaries.
Overview
The Summarization Action allows your workflow to summarize lengthy text content using OpenAI’s language models.
This is ideal for reports, articles, meeting notes, or any scenario where quick insights are needed.
Typical Use Cases:
- Summarize long documents, reports, or research papers
- Create concise meeting or call notes
- Generate executive summaries from raw data or logs
- Provide quick overviews of customer feedback or support tickets
- Extract key points from large datasets for dashboards or analytics
⚙️ Configuration
| Field | Description | Type / Options |
|---|---|---|
| Label | Custom name for the action | String |
| Select connection | Choose or create an OpenAI connection | Connection |
| Model Type | Choose the AI model for summarization: ChatModelGPT4, ChatModelGPT3_5Turbo, ChatModelO1, ChatModelO1Mini, ChatModelGPT4o, ChatModelGPT4oMini | Dropdown |
| Temperature | Controls creativity: lower for focused summaries, higher for more abstract (0–2) | Number |
| Max token | Maximum token limit for the summary: short: 0–100, medium: 100–200, long: 200–500 | Number |
FAQ
Q: Can I specify the length of the summary?
A: Yes. Adjust the Max token value to control how detailed or concise the summary is.
Q: Which model is best for summarization?
A: All listed models can summarize effectively. Use GPT-4 or GPT-4o for the highest quality and nuanced summaries.
Q: Does the model preserve important details?
A: Yes. The model extracts key points while maintaining critical context.
Q: Can the summary be customized in style?
A: Yes. You can provide instructions in your prompt (e.g., “bullet points,” “executive summary”) to shape the style.
Keywords: WeHub OpenAI Plugin, Summarization Action, AI Text Summaries, GPT-4, GPT-3.5, Workflow Automation, Document Summaries