chatgpt-optimized-official

chatgpt-optimized-official - a simple library to create ChatGPT that uses OpenAI official API

A simple Node.js module for creating ChatGPT using OpenAI official API.

Installation

To install the package, run the following command:

npm install chatgpt-optimized-official

Official Chat Completion API from OpenAI

import { ChatGPT } from "chatgpt-optimized-official";

let bot = new ChatGPT("<OPENAI_API_KEY>");

let response = await bot.ask("Hello?");
console.log(response);

Creating ChatGPT with Official OpenAI Completion API

import { OpenAI } from "chatgpt-optimized-official";

let bot = new OpenAI("<OPENAI_API_KEY>");

let response = await bot.ask("Hello?");
console.log(response);

Usage: Official Chat Completion API from OpenAI

import { ChatGPT } from "chatgpt-optimized-official";

let options = {
	temperature: 0.7, // OpenAI parameter
	max_tokens: 100, // OpenAI parameter [Max response size by tokens]
	top_p: 0.9, // OpenAI parameter
	frequency_penalty: 0, // OpenAI parameter
	presence_penalty: 0, // OpenAI parameter
	instructions: `You are ChatGPT, a large language model trained by OpenAI.`, // initial instructions for the bot
	model: "gpt-3.5-turbo", // OpenAI parameter  `gpt-3.5-turbo` is PAID
};

let bot = new ChatGPT("<OPENAI_API_KEY>", options); // Note: options is optional

let response = await bot.ask("Hello?");
console.log(response);

let conversationId = "conversation name";
let response1 = await bot.ask("Hello?", conversationId);
console.log(response1);

let conversationId2 = "another conversation name";
let response2 = await bot.ask("Hello?", conversationId2);
console.log(response2);

Usage: Official Chat Completion API from OpenAI with functions

import { ChatGPT } from "chatgpt-optimized-official";

let options = {
	temperature: 0.7, // OpenAI parameter
	max_tokens: 100, // OpenAI parameter [Max response size by tokens]
	top_p: 0.9, // OpenAI parameter
	frequency_penalty: 0, // OpenAI parameter
	presence_penalty: 0, // OpenAI parameter
	instructions: `You are ChatGPT, a large language model trained by OpenAI.`, // initial instructions for the bot
    model: "gpt-3.5-turbo-0613", // OpenAI parameter  `gpt-3.5-turbo` is PAID
	functions: [
		{
		"name": "saveDataUser",
		"description": "Save data",
		"parameters": {
			"type": "object",
			"properties": {
			"name": {
				"type": "string",
				"description": "name user",
			},
			"email": {
				"type": "string",
				"description": "email user",
			},
			"phone": {
				"type": "string",
				"description": "phone user",
			}
			},
			"required": ["name", "email", "phone"],
		},
		}
	],
	function_call: "auto", 
};

let bot = new ChatGPT("<OPENAI_API_KEY>", options); // Note: options is optional

let response = await bot.askV1("Hello?");
console.log(response);

let conversationId = "conversation name";
let type = 1 // type 1 is user, 2 is assistant  this is optional 1 (User) is default
let userName="User" //default value this is optional, username is other id for the conversation
let response1 = await bot.askV1("Hello?", conversationId, type, userName);
console.log(response1);

Usage: Creating ChatGPT with Official OpenAI Completion API

import { OpenAI } from "chatgpt-optimized-official";

let options = {
	temperature: 0.7, // OpenAI parameter
	max_tokens: 256, // OpenAI parameter [Max response size by tokens]
	top_p: 0.9, // OpenAI parameter
	frequency_penalty: 0, // OpenAI parameter
	presence_penalty: 0, // OpenAI parameter
	instructions: `You are ChatGPT, a large language model trained by OpenAI.`, // initial instructions for the bot
	model: "text-davinci-003", // OpenAI parameter  `text-davinci-003` is PAID
	stop: "<|im_end|>", // OpenAI parameter
};

let bot = new OpenAI("<OPENAI_API_KEY>", options); // Note: options is optional

let response = await bot.ask("Hello?");
console.log(response);

let conversationId = "conversation name";
let response1 = await bot.ask("Hello?", conversationId);
console.log(response1);

let conversationId2 = "another conversation name";
let response2 = await bot.ask("Hello?", conversationId2);
console.log(response2);