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Telegram

Learn the basics of building a Telegram bot with Voiceflow's Dialog Manager.

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In this guide, we are creating a Telegram bot that is connected directly with a Voiceflow agent.

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Telegram bot

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Before you start

  1. Create a Voiceflow agent: you need to first build a chat project on Voiceflow
  2. Find your Dialog Manager API Key: Follow these instructions to obtain your API key.
  3. Template source code on Github

Create your Telegram bot

First, create a bot with BotFather. BotFather is the one bot to rule them all. We will use it to create new bot accounts and manage your existing bots.

If you open a chat with a BotFather, click on the “Start” button.

We should create a new bot by clicking /newbot command. Next, you should enter any name for the bot. In this example, we named it VF Game.

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BotFather

The Telegram setup is completed! Remember to add your Telegram token to your .env file in the property BOT_TOKEN

Telegraf setup

We can create bot by the following code lines:

const Telegraf = require('telegraf') // import telegram lib

const bot = new Telegraf(process.env.BOT_TOKEN) // get the token from envirenment variable
bot.start((ctx) => ctx.reply('Welcome')) // display Welcome text when we start bot
bot.hears('hi', (ctx) => ctx.reply('Hey there')) // listen and handle when user type hi text
bot.launch() // start

Voiceflow setup

First, create a new function that takes Telegraf ctx, userID and a request in as arguments:
async function interact(ctx, chatID, request){}

Inside the function, make an API call to the Voiceflow /interact endpoint.

const response = await axios({
        method: "POST",
        url: `https://general-runtime.voiceflow.com/state/user/${chatID}/interact`,
        headers: {
            Authorization: process.env.VOICEFLOW_API_KEY
        },
        data: {
            request
        }
    });

Expect Voiceflow to return an array. Iterate over the array to map the various response types to an operation.

for (const trace of response.data) {
        switch (trace.type) {
            case "text":
            case "speak":
                {
                    await ctx.reply(trace.payload.message);
                    break;
                }
            case "visual":
                {
                    await ctx.replyWithPhoto(trace.payload.image);
                    break;
                }
            case "end":
                {
                    await ctx.reply("Conversation is over")
                    break;
                }
        }
    }

Everything is ready. Let's continue with our Telegrom bot code. Let's replace the start standard replay for this one, getting the correct replay from Voiceflow:

bot.start(async (ctx) => {
    let chatID = ctx.message.chat.id;
    await interact(ctx, ctx.message.chat.id, {type: "launch"});
});

Then we replace the hi utterance for a regex like (.+). This means that the bot will hear for everything. All the text received we will pass directly to Voiceflow and the we mange the state of the conversation: if it is ended or if it is not ended yet:

const ANY_WORD_REGEX = new RegExp(/(.+)/i);
bot.hears(ANY_WORD_REGEX, async (ctx) => {
    let chatID = ctx.message.chat.id;
  	await interact(ctx, chatID, {
        type: "text",
        payload: ctx.message.text
    });

Video Walkthrough

In the video below, we cover the entire integration between Voiceflow and Telegram.

Sample Code

const {Telegraf} = require('telegraf') // import telegram lib
const axios = require('axios');

require('dotenv').config();

const bot = new Telegraf(process.env.BOT_TOKEN) // get the token from environment variable

async function interact(ctx, chatID, request) {

    const response = await axios({
        method: "POST",
        url: `https://general-runtime.voiceflow.com/state/user/${chatID}/interact`,
        headers: {
            Authorization: process.env.VOICEFLOW_API_KEY
        },
        data: {
            request
        }
    });
    for (const trace of response.data) {
        switch (trace.type) {
            case "text":
            case "speak":
                {
                    await ctx.reply(trace.payload.message);
                    break;
                }
            case "visual":
                {
                    await ctx.replyWithPhoto(trace.payload.image);
                    break;
                }
            case "end":
                {
                    await ctx.reply("Conversation is over")
                    break;
                }
        }
    }
};


bot.start(async (ctx) => {
    let chatID = ctx.message.chat.id;
    await interact(ctx, chatID, {type: "launch"});
});

const ANY_WORD_REGEX = new RegExp(/(.+)/i);
bot.hears(ANY_WORD_REGEX, async (ctx) => {
    let chatID = ctx.message.chat.id;
  	await interact(ctx, chatID, {
        type: "text",
        payload: ctx.message.text
    });
});

bot.launch() // start

process.once('SIGINT', () => bot.stop('SIGINT'))
process.once('SIGTERM', () => bot.stop('SIGTERM'))

Voiceflow Community Challenge

When your bot is part of a group chat, make sure that it can maintain context with the various users

Share it on Twitter and make sure to mention @voiceflow!

Updated 7 months ago