1.2.18 • Published 1 year ago

node-red-contrib-custom-chatgpt4o v1.2.18

Weekly downloads
-
License
MIT
Repository
github
Last release
1 year ago

node-red-contrib-custom-chatgpt

Platform npm Downloads MIT License

Supercharge your Node-RED flows with AI! Seamlessly integrate with OpenAI's powerful models like GPT-4, GPT-4o and DALL·E 2, and unlock a world of creative possibilities. Create imaginative chatbots, automate content generation, or build AI-driven experiences. The power of AI is just a node away!

Table of Contents

Getting Started

To start using node-red-contrib-custom-chatgpt4o, you can install it through the built-in Node-RED Palette manager or using npm:

npm install node-red-contrib-custom-chatgpt4o

Setup

With these, you're ready to configure your node-red-contrib-custom-chatgpt4o nodes.

Usage

With node-red-contrib-custom-chatgpt4o, you have the power to select the behavior of the node by setting the Topic property value to image, edit, turbo , or gpt4 / gpt4o. You can control the node with a single required message property msg.payload or dynamically set the behavior with incoming messages using read from msg.topic.

For detailed information on the usage of these modes, please refer to the OpenAI API documentation.

1. When msg.topic is set to completion:

  • Required msg.payload should be a well-written prompt that provides enough information for the model to know what you want and how it should respond. Its success generally depends on the complexity of the task and quality of your prompt. A good rule of thumb is to think about how you would write a word problem for a middle schooler to solve.
  1. When msg.topic is set to image:

  2. When msg.topic is set to edit:

    • Required msg.payload should be a prompt of text to use as a starting point for the edit.

    • Required msg.last should be a string of text to use as the input to be edited.

  3. When msg.topic is set to turbo:

    • Required msg.payload should be a well-written prompt that provides enough information for the model to know what you want and how it should respond. Its success generally depends on the complexity of the task and quality of your prompt.

    • Optional msg.history should be an array of objects containing the conversation history. [Default:[]]

  4. When msg.topic is set to gpt4 or gpt4o:

    • Required msg.payload should be a well-written prompt that provides enough information for the model to know what you want and how it should respond. Its success generally depends on the complexity of the task and quality of your prompt.

    • Optional msg.history should be an array of objects containing the conversation history. [Default:[]]

Additional optional properties

The following optional inputs are supported - msg.max_tokens, msg.suffix, msg.n, msg.temperature, msg.top_p, msg.presence_penalty, msg.frequency_penalty, msg.echo, msg.API_KEY and msg.ORGANIZATION. See the nodes built-in help tab for more information on how they are used.

External Links

Bugs and Feature Requests

Encountered a bug or have an idea for a new feature? We'd love to hear from you! Feel free to submit an issue on our GitHub page.

License

This project is licensed under the MIT License - see the LICENSE file for details.