Deploying with Vercel is amazingly simple and that's why I love it. Now that your bot is working as expected locally, let's deploy it to Vercel. If there was an error sending our message then weĬonsole. In your editor of choice create a file called webhook.js in the /api directory. Let's add a new function to handle our Telegram messages.Ĭreate the /api directory in the root of your project. Inside that directory you can add a JavaScript, Go, Ruby, or Python exported function and it will appear as an API route. Vercel wants a directory called /api in the root of your project. Making a new serverless function is easy. Vercel can be used to deploy any frontend application to its cloud hosting but it also allows you to run serverless functions, using AWS Lambda and Google Cloud Functions under the hood. Once you click on that link it will save the correct tokens to your machine to allow you to deploy your application. Vercel will send you an email with a link to verify your account. Next we can login to vercel which allows it to know which account we're deploying the code to. We can add the vercel application as a global dependency, so that it's available everywhere and not just in our project, like this: npm install -g vercel npm init -yĪs we want to deploy our serverless function using Vercel, we must install their command line tools.

Here we're skipping the part where we fill in the details of the project into the package.json file. Next we'll create a basic Node.js project using npm.

Create a directory called test-bot and change directory into it: mkdir test-bot I'm going to assume that you have Node.js set up on your local development machine and understand the basics of adding packages to a project using a command terminal. We're going to use Node.js and JavaScript and a couple of npm packages to create a serverless function. To 'Creating our bot serverless function'

Telegram bot api examples