node-red-contrib-custom-chatgpt

# node-red-contrib-custom-chatgpt ![Platform](https://img.shields.io/badge/platform-Node--RED-red) ![npm](https://img.shields.io/npm/v/node-red-contrib-custom-chatgpt.svg) ![Downloads](https://img.shields.io/npm/dt/node-red-contrib-custom-chatgpt.svg) ![MIT License](https://img.shields.io/badge/license-MIT-blue.svg) Supercharge your Node-RED flows with AI! Seamlessly integrate with OpenAI's powerful models like GPT-4o, DALL·E 2, and DALL·E 3 to 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 - [node-red-contrib-custom-chatgpt](#node-red-contrib-custom-chatgpt) - [Table of Contents](#table-of-contents) - [Getting Started](#getting-started) - [Setup](#setup) - [Usage](#usage) - [Additional optional properties](#additional-optional-properties) - [Examples](#examples) - [External Links](#external-links) - [Bugs and Feature Requests](#bugs-and-feature-requests) - [Changelog](#changelog) - [License](#license) ## Getting Started To start using `node-red-contrib-custom-chatgpt`, you can install it through the built-in Node-RED Palette manager or using npm: ```sh npm install node-red-contrib-custom-chatgpt ``` ## Setup - [Follow this guide to get your OpenAI API key](https://platform.openai.com/account/api-keys) With these, you're ready to configure your `node-red-contrib-custom-chatgpt` nodes. ## Usage With `node-red-contrib-custom-chatgpt`, you have the power to select the behavior of the node by setting the Topic property value to `gpt4o`, `image`, `turbo` , or `gpt4`. 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`. When is set to `read from msg.topic` if `msg.topic` is left undefined then the message property `msg.model` can be used to select any model. For detailed information on the usage of these modes, please refer to the [OpenAI API documentation](https://beta.openai.com/docs/). 1. When `msg.topic` is set to `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. A good rule of thumb is to think about how you would write a word problem for a middle schooler to solve. - [Optional] `msg.history` should be an array of objects containing the conversation history. [Default:`[]`] 2. When `msg.topic` is set to `image`: - [Required] `msg.payload` should be a prompt of text description of the desired image. - [Optional] `msg.size` should be a string of the desired image dimensions. [Default:`256x256`] - [Optional] `msg.format` should be a string of either `b64_json` or `url`. [Default:`url`] (NOTE: `b64_json` may be depreciated) 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`: - [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:`[]`] 5. When `msg.topic` is set to `dalle3`: - [Required] `msg.payload` should be a prompt of text description of the desired image. - [Optional] `msg.size` should be a string of the desired image dimensions. [Default:`1024x1024`] 6. When `msg.topic` is set to `gpt-4o-mini`: - [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`, and `msg.API_KEY` See the nodes built-in help tab for more information on how they are used. ## Examples We've provided several examples to help you understand the potential and versatility of `node-red-contrib-custom-chatgpt`. From basic usages like image generation and text editing, to more advanced features like setting behaviors, using optional message properties, and automating Node-RED node creation. [Old screenshot] Basic usage for image, completion, and edit. [![Screenshot showcasing basic usage of node-red-contrib-custom-chatgpt for image generation, text completion, and text editing tasks](/examples/example.png)](https://github.com/HaroldPetersInskipp/node-red-contrib-chatgpt/blob/main/examples/chatgpt.json) [Old screenshot] More advanced usage with templates. [![Screenshot illustrating advanced usage of node-red-contrib-custom-chatgpt with templates](/examples/example2.png)](https://github.com/HaroldPetersInskipp/node-red-contrib-chatgpt/blob/main/examples/chatgpt.json) [Old screenshot] Usage of model `gpt-3.5-turbo` and conversation history. [![Screenshot demonstrating the usage of `gpt-3.5-turbo` model with conversation history in node-red-contrib-custom-chatgpt](/examples/example3.png)](https://github.com/HaroldPetersInskipp/node-red-contrib-chatgpt/blob/main/examples/chatgpt.json) [New screenshot] Updated example using optional message properties and setting behavior `Topic` in node edit dialog. [![Screenshot of an updated example showing the use of optional message properties and setting behavior `Topic` in node edit dialog with node-red-contrib-custom-chatgpt](/examples/example4.png)](https://github.com/HaroldPetersInskipp/node-red-contrib-chatgpt/blob/main/examples/chatgpt.json) [New screenshot] Additional example demonstrating how to generate Node-RED nodes and import them directly into the editor automatically. [![Screenshot of an additional example demonstrating the generation of Node-RED nodes and their automatic import into the editor using node-red-contrib-custom-chatgpt](/examples/example5.png)](https://github.com/HaroldPetersInskipp/node-red-contrib-chatgpt/blob/main/examples/generate-node-red-nodes.json) ## External Links - [Node-RED](https://flows.nodered.org/node/node-red-contrib-custom-chatgpt) - [Libraries.io](https://libraries.io/npm/node-red-contrib-custom-chatgpt) - [npm](https://www.npmjs.com/package/node-red-contrib-custom-chatgpt) ## 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](https://github.com/HaroldPetersInskipp/node-red-contrib-chatgpt/issues) on our GitHub page. ## Changelog Stay up-to-date with the latest changes by checking out our [CHANGELOG](https://github.com/HaroldPetersInskipp/node-red-contrib-chatgpt/blob/main/CHANGELOG.md). ## License This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.