node-red-contrib-openai-ubos

node-red-contrib-openai-ubos

A Node-RED node that interacts with OpenAI machine learning models to generate text like ChatGPT.

UBOS • Community • Youtube • Discord • GitHub

Quick Start

Install with the built in Node-RED Palette manager or using npm:

npm install node-red-contrib-openai-ubos

Setup

When editing the nodes properties, to get your OPENAI_API_KEY log in to ChatGPT and then visit https://platform.openai.com/account/api-keys click "+ Create new secret key" then copy and paste the "API key" into the nodes API_KEY property value.

To get your Organization visit https://platform.openai.com/account/org-settings then copy and paste the "OrganizationID" into the nodes Organization property value.

Properties

• msg.OPENAI_API_KEY: This is the API key provided by OpenAI. It is necessary for authentication when making requests to the OpenAI API.

• msg.prompt: This string forms the initial text from which the model will generate its continuation.

• msg.model: This property defines the name of the OpenAI model to be used for generating the text, for example, "text-davinci-003".

• msg.temperature: This property controls the randomness in the output of the model. Higher values result in more random outputs. This is a numerical value.

• msg.max_tokens: This property sets the maximum length of the model output. This is a numerical value.

• msg.messages: This is an array meant to hold any messages that are to be passed along the Node-RED flow. Each object in the array can contain additional properties like role and content. For example:

  "messages": [
      {"role": "system", "content": "Set the behavior"},
      {"role": "assistant", "content": "Provide examples"},
      {"role": "user", "content": "Set the instructions"}
  ]
  

• msg.top_p: This property is used when nucleus sampling is preferred for generating the text. The value for this property is expected to be a number between 0 and 1.

• msg.frequency_penalty: This property allows for penalization of new tokens based on their frequency. The value should be a number between 0 and 1.

• msg.stop: Up to 4 sequences where the API will stop generating further tokens. For example:

  msg.stop = ["word-1", "word-2"]
  

• msg.presence_penalty: This property can be used to control the model's preference for introducing new concepts during text generation. Like msg.frequency_penalty, it should be a number between 0 and 1.

Example

 msg.OPENAI_API_KEY = "your api key";
 msg.model = "gpt-3.5-turbo";
 msg.messages = [
    {"role": "system", "content": "Set the behavior"},
    {"role": "assistant", "content": "Provide examples"},
    {"role": "user", "content": "Set the instructions"}
]

Custom settings

To send your custom settings for the OpenAI request, you can use the msg.settings parameter. Simply pass an object with all the necessary fields according to the OpenAI documentation.

msg.url = "https://api.openai.com/v1/embeddings";
msg.OPENAI_API_KEY = "your API key";
msg.settings = {
    model: "text-embedding-3-large",
    input: "Hello World"
}

Create embeddings

When msg.model is set to text-embedding-ada-002:

• [Required] input: [Type: string or array] Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. Each input must not exceed the max input tokens for the model (8191 tokens for text-embedding-ada-002) and cannot be an empty string. Example Python code for counting tokens.

• user: [Type: string] A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. Learn more.

msg.OPENAI_API_KEY = "your api key";
msg.model = "text-embedding-ada-002";
msg.input = "Lorem Ipsum is simply dummy text of the printing and typesetting industry";

Demo

Bugs reports and feature requests

Please report any issues or feature requests at GitHub.

License

MIT License