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Summarize

Creates summaries of provided text using OpenAI models, simplified for easy understanding.

Common Properties​

  • Name - The custom name of the node.
  • Color - The custom color of the node.
  • Delay Before (sec) - Waits in seconds before executing the node.
  • Delay After (sec) - Waits in seconds after executing node.
  • Continue On Error - Automation will continue regardless of any error. The default value is false.
info

If the ContinueOnError property is true, no error is caught when the project is executed, even if a Catch node is used.

Inputs​

  • Connection Id - The connection ID for the OpenAI service.
  • Input Text - The text to summarize.

Options​

  • Model - The OpenAI model to use for summarization. Options include:
    • gpt-3.5-turbo
    • gpt-3.5-turbo-instruct
    • gpt-4-turbo
    • gpt-4
    • gpt-4-32k
  • Max Tokens - The maximum number of tokens to generate in the completion.
  • Timeout (sec) - Timeout for the request. Only available with Robomotion Credits. Leave blank for default value (120+).

Output​

  • Summary - The summarized version of the input text.

How It Works​

The Summarize node uses OpenAI models to create concise summaries of provided text. When executed, the node:

  1. Validates the provided Connection Id
  2. Prepares a system prompt instructing the model to summarize content for a second-grade student
  3. Sends the input text along with the prompt to the selected OpenAI model
  4. Processes the model's response to extract the summary
  5. Returns the summary as output

Requirements​

  • A valid OpenAI API key or Robomotion Credits
  • An active OpenAI connection
  • Input text to summarize

Error Handling​

The node will return specific errors in the following cases:

  • Empty or invalid Connection Id
  • Empty or invalid Input Text
  • Invalid Max Tokens value
  • OpenAI API errors
  • Timeout errors

Usage Notes​

  • The default model is gpt-3.5-turbo, which provides a good balance of performance and cost
  • The system prompt is designed to create summaries suitable for second-grade students, making them accessible and easy to understand
  • The Max Tokens option can be adjusted based on the desired length of the summary
  • For best results, provide clear and coherent input text
  • When using Robomotion Credits, the timeout can be customized for better performance