/halbot

Just another ChatGPT/Bing Chat Telegram bob, which is simple design, easy to use, extendable and fun.

Primary LanguageJavaScriptMIT LicenseMIT

🤖️ halbot

MIT licensed Node.js Package

Just another ChatGPT/Bing Chat Telegram bob, which is simple design, easy to use, extendable and fun.

Live demo, click to watch on YouTube:

Halbot live demo

Screenshots: 👈 Click here to see screenshots Screenshot 1 Screenshot 2 Screenshot 3 Screenshot 4 Screenshot 5 Screenshot 6 Screenshot 7 Screenshot 8

Features

  • Telegram Bot (Telegram Bot token required)
  • ChatGPT (OpenAI API key required)
  • Bing Chat (Bing Chat user token required)
  • Speech-to-text (Google Cloud API key required, or your own engine)
  • Text-to-speech (Google Cloud API key required, or your own engine)
  • OCR/OBJECT_DETECT (Google Cloud API key required, or your own engine)
  • Feeding webpage and YouTube to enhance your prompt
  • Custom prompt and 🧠 Awesome ChatGPT Prompts at your fingertips
  • Support private and public mode, with multiple authenticate methods.
  • Middleware style workflow, easy to extend.
  • Built-in support parsing webpages, YouTube videos, PDFs, images, Office documents, code files, text files...
  • Realtime stream-style response, no more waiting.
  • Markdown rendering for GhatGPT
  • Reference rendering for Bing Chat
  • Code block rendering, developers friendly.
  • ESM from the ground up

❤️ Become a sponsor to halbot

For $10/month, you can access the official halbot service for a month.

You don't need to pay $20/month for ChatGPT tokens separately.

halbot is stable. It has a better user experience than the official web app. You can access halbot from your favourite Telegram apps on your phone, tablet and computer.

Additionally, halbot has a lot of built-in input parsers to maximize the ChatGPT engine's power.

halbot can now parse webpages, YouTube videos, PDFs, images, Office documents, code files, and text files. And other parsers are coming soon.

halbot also supports Text-to-Speech and Speech-to-Text. You can talk to the AI engines to get help with your job.

And remember, you can always use the codes in this repo to build your own halbot instant. This project will keep open source forever.

Basic usage

Configuration

Make the halbot json config file and put it in this path ~/.halbot.json.

Basic config demo:

{
    "telegramToken": "[[Telegram Bot API Token]]",
    "chatGptKey": "[[ChatGPT API Key]]"
}

All supported configuration fields:

{

    // REQUIRED, string.
    "telegramToken": "[[Telegram Bot API Token]]",

    // OPTIONAL, string.
    // One of the chatGptKey or bingToken is required.
    "chatGptKey": "[[ChatGPT API Key]]",

    // OPTIONAL, string.
    // How to get your bing user token: https://github.com/Leask/halbot/issues/13
    // One of the chatGptKey or bingToken is required.
    "bingToken": "[[Bing Usertoken from cookies]]",

    // OPTIONAL, string.
    // Set this field if you need TTS/STT/OCR/OBJECT_DETECT features.
    "googleApiKey": "[[Google Cloud API Key]]",

    // OPTIONAL, undefined || array of string.
    // To open the bot to PUBLIC, DO NOT set this field;
    // To restrict the bot to PRIVATE, set chat/group/channel ids in this array.
    "private": ["[[CHAT_ID]]", "[[GROUP_ID]]", "[[CHANNEL_ID]]", ...],

    // OPTIONAL, string.
    // Set this field if you want to use a `magic word` to authenticate the bot.
    "magicWord": "[[Your Magic Word here]]",

    // OPTIONAL, string.
    // Use a HOME GROUP to authentication users.
    // Anyone in this group can access the bot.
    "homeGroup": "[[GROUP_ID]]",

    // OPTIONAL, array of enum string.
    // Enum: 'private', 'mention', 'group', 'channel'.
    // Defaule: ['private', 'mention'].
    // By default, it will only reply to `private` chats and group `mention`s.
    // Adding 'group' or 'channel' may cause too much disturbance.
    "chatType": ["mention", "private"],

    // OPTIONAL, string.
    "hello": "[[initial prompt]]",

    // OPTIONAL, string.
    "info": "[[bot description]]",

    // OPTIONAL, string.
    "help": "[[help information]]",

    // OPTIONAL, object.
    // Sessions/conversations storage, support MariaDB/MySQL and Redis for now.
    // If omitted, the bot will use memory storage and sync to this file.
    // Example: (Compatibility: https://github.com/sidorares/node-mysql2)
    "storage": {
        "type": "[["MARIADB" || "MYSQL"]]",
        "host": "[[DATABASE HOST]]",
        "database": "[[DATABASE NAME]]",
        "user": "[[DATABASE USER]]",
        "password": "[[DATABASE PASSWORD]]",
        ...[[OTHER DATABASE OPTIONS]],
    },
    // OR: (Compatibility: https://github.com/luin/ioredis)
    "storage": {
        "type": "REDIS",
        "host": "[[REDIS HOST]]",
        "password": "[[REDIS PASSWORD]]",
        ...[[OTHER REDIS OPTIONS]],
    },

}

Run it

In peace-of-mind:

$ npx halbot

If you have multible AI engines configed, use '/chatgpt' or '/bing' to switch between them, or you can use '/*' to ask them all at the same time.

Integrate to your project

Install:

$ npm i halbot

Code:

import halbot from 'halbot';

const config = {

    // ...[[ALL THE CONFIG FIELDS SUPPORTED ABOVE]]],

    // OPTIONAL, function.
    // Your own authentication logic.
    // return true if the user is authenticated.
    // return false if the user is not authenticated.
    auth: async (ctx) => {
        // ctx is the `telegraf` context object: https://telegraf.js.org/#context-class
        // It has been extended: https://github.com/Leask/utilitas/blob/master/lib/bot.mjs
        return true;
    },

    // OPTIONAL, object (key renderd as name) or array (name ignored).
    ai: {
        [[aiNameA]]: [[aiClientA]],
        [[aiNameB]]: [[aiClientB]],
    },

    // OPTIONAL, object.
    // Your own speech-to-text and text-to-speech engine.
    speech: {
        stt: [[sttApi]],
        tts: [[ttsApi]],
    },

    // OPTIONAL, object.
    // Your own computer-vision engine.
    vision {
        see: [[ocrAndObjectDetectApi]],
        read: [[documentAnnotateApi]],
    },

    // OPTIONAL, string.
    // Path to your own middlewares.
    // ./skills
    //  |- skill_a.mjs
    //    | const action = async (bot) => {
    //    |     bot.use(async (ctx, next) => {
    //    |         ctx.reply('42');
    //    |         await next();
    //    |     });
    //    | };
    //    |
    //    | export const { run, priority, func } = {
    //    |     run: true,
    //    |     priority: 100,
    //    |     func: action,
    //    | };
    skillPath: [[pathToYourMiddlewares]],

    // OPTIONAL, object.
    // Using customized storage engine.
    // `storage` should Should be compatible with the `Map` interface:
    // https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Map
    storage: {
        get: async (key) => { /* return session object by chatId. */ },
        set: async (key, session) => { /* save session object by chatId. */ },
    },

    // OPTIONAL, object.
    // Adding extra commands.
    cmds: {
        [[commandA]]: [[descriptionA]],
        [[commandB]]: [[descriptionB]],
        ...[[OTHER COMMANDS]],
    },

    // OPTIONAL, object.
    // Adding extra configurations
    args: {
        [[argA]]: {
            type: 'string',
            short: [[shortCut]],
            default: [[defaultValue]],
            desc: [[description]],
        },
        [[argB]]: {
            type: 'binary',
            short: [[shortCut]],
            default: [[defaultValue]],
            desc: [[description]],
        },
        ...[[OTHER ARGS]],
    },

};

await halbot(config);

Foundations

  • halbot uses my other project utilitas as the basic framework to handle all the dirty work.
  • halbot uses node-chatgpt-api to communicate with the AI engines.

Contact me

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