ChatGPT API Server

This is an implementation of ChatGPT using the official ChatGPT raw model, text-chat-davinci-002-20230126. This model name was briefly leaked while I was inspecting the network requests made by the official ChatGPT website, and I discovered that it works with the OpenAI API. Usage of this model currently does not cost any credits.

As far as I'm aware, I was the first one who discovered this, and usage of the model has since been implemented in libraries like acheong08/ChatGPT.

The previous version of this library that used transitive-bullshit/chatgpt-api is still available on the archive/old-version branch.

By itself, the model does not have any conversational support, so this library uses a cache to store conversations and pass them to the model as context. This allows you to have persistent conversations with ChatGPT in a nearly identical way to the official website.

Features

• Uses the official ChatGPT raw model, text-chat-davinci-002-20230126.
• Includes an API server you can run to use ChatGPT in non-Node.js applications.
• Includes a ChatGPTClient class that you can use in your own Node.js applications.
• Replicates chat threads from the official ChatGPT website (with conversation IDs and message IDs), with persistent conversations using Keyv.
  • Conversations are stored in memory by default, but you can optionally install a storage adapter to persist conversations to a database.

Getting Started

Prerequisites

• Node.js
• npm
• OpenAI API key

Usage

Module

npm i @waylaidwanderer/chatgpt-api

import ChatGPTClient from '@waylaidwanderer/chatgpt-api';

const clientOptions = {
  // (Optional) Parameters as described in https://platform.openai.com/docs/api-reference/completions
  modelOptions: {
    // The model is set to text-chat-davinci-002-20230126 by default, but you can override
    // it and any other parameters here
    model: 'text-chat-davinci-002-20230126',
    // The default temperature is 0.7, but you can override it here
    temperature: 0.7,
  },
  // (Optional) Set a custom prompt prefix. As per my testing it should work with two newlines
  promptPrefix: 'You are not ChatGPT...\n\n',
  // (Optional) Set to true to enable `console.debug()` logging
  debug: false,
};

const cacheOptions = {
  // Options for the Keyv cache, see https://www.npmjs.com/package/keyv
  // This is used for storing conversations, and supports additional drivers (conversations are stored in memory by default)
};

const chatGptClient = new ChatGPTClient('OPENAI_API_KEY', clientOptions, cacheOptions);

const response = await chatGptClient.sendMessage('Hello!');
console.log(response); // { response: 'Hi! How can I help you today?', conversationId: '...', messageId: '...' }

const response2 = await chatGptClient.sendMessage('Write a poem about cats.', { conversationId: response.conversationId, parentMessageId: response.messageId });
console.log(response2.response); // Cats are the best pets in the world.

const response3 = await chatGptClient.sendMessage('Now write it in French.', { conversationId: response2.conversationId, parentMessageId: response2.messageId });
console.log(response3.response); // Les chats sont les meilleurs animaux de compagnie du monde.

API Server

You can install the package using

npm i -g @waylaidwanderer/chatgpt-api

then run it using chatgpt-api.
This takes an optional --settings=<path_to_settings.js> parameter, or looks for settings.js in the current directory if not set, with the following contents:

module.exports = {
  // Your OpenAI API key
  openaiApiKey: '',
  chatGptClient: {
    // (Optional) Parameters as described in https://platform.openai.com/docs/api-reference/completions
    modelOptions: {
      // The model is set to text-chat-davinci-002-20230126 by default, but you can override
      // it and any other parameters here
      model: 'text-chat-davinci-002-20230126',
      // The default temperature is 0.7, but you can override it here
      temperature: 0.7,
    },
    // (Optional) Set a custom prompt prefix. As per my testing it should work with two newlines
    promptPrefix: 'You are not ChatGPT...\n\n',
    // (Optional) Set to true to enable `console.debug()` logging
    debug: false,
  },
  // Options for the Keyv cache, see https://www.npmjs.com/package/keyv
  // This is used for storing conversations, and supports additional drivers (conversations are stored in memory by default)
  cacheOptions: {},
  // The port the server will run on (optional, defaults to 3000)
  port: 3000,
};

Alternatively, you can install and run the package locally:

1. Clone this repository
2. Install dependencies with npm install
3. Rename settings.example.js to settings.js in the root directory and change the settings where required.
4. Start the server using npm start or node bin/server.js

To start a conversation with ChatGPT, send a POST request to the server's /conversation endpoint with a JSON body in the following format:

{
    "message": "Hello, how are you today?",
    "conversationId": "your-conversation-id (optional)",
    "parentMessageId": "your-parent-message-id (optional)"
}

The server will return a JSON object containing ChatGPT's response:

{
    "response": "I'm doing well, thank you! How are you?",
    "conversationId": "your-conversation-id",
    "messageId": "response-message-id"
}

If the request is unsuccessful, the server will return a JSON object with an error message and a status code of 503.

If there was an error sending the message to ChatGPT:

{
    "error": "There was an error communicating with ChatGPT."
}

Caveats

Since text-chat-davinci-002-20230126 is ChatGPT's raw model, I had to do my best to replicate the way the official ChatGPT website uses it. This means it may not behave exactly the same in some ways:

• conversations are not tied to any user IDs, so if that's important to you, you should implement your own user ID system
• ChatGPT's model parameters are unknown, so I set some defaults that I thought would be reasonable, such as temperature: 0.7
• conversations are limited to roughly the last 3000 tokens, so earlier messages may be forgotten during longer conversations
  • this works in a similar way to ChatGPT, except I'm pretty sure they have some additional way of retrieving context from earlier messages when needed (which can probably be achieved with embeddings, but I consider that out-of-scope for now)
• I removed "knowledge cutoff" from the ChatGPT preamble ("You are ChatGPT..."), which stops it from refusing to answer questions about events after 2021-09, as it does have some training data from after that date. This means it may answer questions about events after 2021-09, but it's not guaranteed to be accurate.

Contributing

If you'd like to contribute to this project, please create a pull request with a detailed description of your changes.

License

This project is licensed under the MIT License.