Official Runtimes

Runtimes are modules that transform your source code into Serverless Functions, which are served by our CDN at the edge.

Listed below are all official Runtimes from Vercel.

Node.js

The Node.js Runtime, by default, builds and serves Serverless Functions within the /api directory of a project, providing the files have a file extension of either .js or .ts.

A Node.js Serverless Function must export a default function handler, for example:

module.exports = (req, res) => {
  const { name = 'World' } = req.query
  res.send(`Hello ${name}!`)
}

An example serverless Node.js function using the Request and Response objects.

If you need more advanced behavior, such as a custom build step or private npm modules, see the Advanced Node.js Usage section.

Node.js Version

Whenever a new Project is created, the latest Node.js LTS version available on Vercel at that time is selected for it.

This selection will be reflected within the Node.js Version section on the General page of the Project Settings. If needed, you can also customize it there:

Selecting a custom Node.js version for your Project.

Currently, the following Node.js versions are available:

• 14.x (default since February 4th 2021)
• 12.x
• 10.x (deprecated, will be removed April 20th 2021)

As you can see, only major versions are available. That's because Vercel will automatically roll out minor and patch updates if needed (for example in the case that a security issue needs to be fixed).

Defining the node property inside engines of a package.json file will override the selection made in the Project Settings and print a Build Step warning if the version does not match.

In order to find out which Node.js version your Deployment is using, run node -v in the Build Command or log the output of process.version.

Node.js Dependencies

For dependencies listed in a package.json file at the root of a project, the following behavior is used:

• If a package-lock.json file is present in the project, npm install is used.
• Otherwise, yarn is used, by default.

Using TypeScript with the Node.js Runtime

The Node.js Runtime supports files ending with .ts inside of the /api directory as TypeScript files to compile and serve when deploying.

An example TypeScript file that exports a default Node.js function and takes in the standard Node.js Request and Response objects is as follows:

import { VercelRequest, VercelResponse } from '@vercel/node'

export default function (req: VercelRequest, res: VercelResponse) {
  const { name = 'World' } = req.query
  res.send(`Hello ${name}!`)
}

An example serverless Node.js function written in TypeScript, using types from the @vercel/node module for the helper methods.

The VercelRequest and VercelResponse imports in the above example are types that we provide for the Request and Response objects, including the helper methods with Vercel. These types can be installed from npm with the following command:

npm install @vercel/node --save-dev

Installing @vercel/node for types when using Node.js on Vercel.

You can also use a tsconfig.json file at the root of your project to configure the TypeScript compiler. Most options are supported aside from "Path Mappings" and "Project References".

Node.js Request and Response Objects

Each request to a Node.js Serverless Function gives access to Request and Response objects. These objects are the standard HTTP Request and Response objects from Node.js.

Node.js Helpers

​Vercel additionally provides helper methods inside of the Request and Response objects passed to Node.js Serverless Functions. These methods are:

The following Node.js Serverless Function example showcases the use of req.query, req.cookies and req.body helpers:

module.exports = (req, res) => {
  let who = 'anonymous'

  if (req.body && req.body.who) {
    who = req.body.who
  } else if (req.query.who) {
    who = req.query.who
  } else if (req.cookies.who) {
    who = req.cookies.who
  }

  res.status(200).send(`Hello ${who}!`)
}

Example Node.js Serverless Function using the req.query, req.cookies, and req.body helpers. It returns greetings for the user specified using req.send().

Request Body

We populate the req.body property with a parsed version of the content sent with the request when possible.

We follow a set of rules on the Content-type header sent by the request to do so:

With the req.body helper, you can build applications without extra dependencies or having to parse the content of the request manually.

When the request body contains malformed JSON, accessing req.body will throw an error. You can catch that error by wrapping req.body with try...catch:

try {
  req.body
} catch (error) {
  return res.status(400).json({ error: 'My custom 400 error' })
}

Catching the error thrown by req.body with try...catch.

Go

The Go Runtime is used by Vercel to compile Go Serverless Functions that expose a single HTTP handler, from a .go file within an /api directory at your project's root.

For example, define an index.go file inside an /api directory as follows:

package handler

import (
  "fmt"
  "net/http"
)

func Handler(w http.ResponseWriter, r *http.Request) {
  fmt.Fprintf(w, "<h1>Hello from Go!</h1>")
}

An example index.go file inside an /api directory.

For advanced usage, such as using private packages with your Go projects, see the Advanced Go Usage section.

Go Version

The Go Runtime will automatically detect the go.mod file at the root of your Project to determine the version of Go to use.

If go.mod is missing or the version is not defined, the default version 1.16 will be used.

Go Dependencies

The Go Runtime will automatically detect the go.mod file at the root of your Project to install dependencies.

Go Build Configuration

You can provide custom build flags by using the GO_BUILD_FLAGS Environment Variable.

{
  "build": {
    "env": {
      "GO_BUILD_FLAGS": "-ldflags '-s -w'"
    }
  }
}

An example -ldflags flag with -s -w. This will remove debug information from the output file. This is the default value when no GO_BUILD_FLAGS are provided.

Python

The Python Runtime is used by Vercel to compile Python Serverless Functions, that defines a singular HTTP handler variable, inheritting from the BaseHTTPRequestHandler class, from a .py file within an /api directory at your project's root.

For example, define an index.py file inside a /api directory as follows:

from http.server import BaseHTTPRequestHandler
from cowpy import cow

class handler(BaseHTTPRequestHandler):

    def do_GET(self):
        self.send_response(200)
        self.send_header('Content-type','text/plain')
        self.end_headers()
        message = cow.Cowacter().milk('Hello from Python from a Serverless Function!')
        self.wfile.write(message.encode())
        return

An example index.py file inside an /api directory.

Inside requirements.txt define:

cowpy==1.0.3

An example requirements.txt file that defines cowpy as a dependency.

For advanced usage, such as using WSGI or ASGI for your Python projects, see the Advanced Python Usage section.

Python Version

Python projects deployed with Vercel use Python version 3.6.

Python Dependencies

You can install dependencies for your Python projects by defining them in a requirements.txt or a Pipfile.lock file.

Ruby

The Ruby Runtime is used by Vercel to compile Ruby Serverless Functions that define a singular HTTP handler from .rb files within an /api directory at your project's root.

Ruby files must have one of the following variables defined:

• Handler proc that matches the do |req, res| signature.
• Handler class that inherits from the WEBrick::HTTPServlet::AbstractServlet class.

For example, define a index.rb file inside a /api directory as follows:

require 'cowsay'

Handler = Proc.new do |req, res|
  name = req.query['name'] || 'World'

  res.status = 200
  res['Content-Type'] = 'text/text; charset=utf-8'
  res.body = Cowsay.say("Hello #{name}", 'cow')
end

An example index.rb file inside an /api directory.

Inside a Gemfile define:

source "https://rubygems.org"

gem "cowsay", "~> 0.3.0"

An example Gemfile file that defines cowsay as a dependency.

Ruby Version

New deployments use Ruby 2.7.x as the default version.

You can specify the version of Ruby by defining ruby in a Gemfile, like so:

source "https://rubygems.org"
ruby "~> 2.7.x"

When defining a Ruby version, the following Ruby versions can be selected:

• 2.7.x (default)
• 2.5.x

Ruby Dependencies

This Runtime supports installing dependencies defined in the Gemfile. Alternatively, dependencies can be vendored with the bundler install --deployment command (useful for gems that require native extensions). In this case, dependencies are not built on deployment.

Advanced Usage

By default, no configuration is needed to deploy Serverless Functions to Vercel.

For all officially supported languages (see below), the only requirement is creating a api directory and placing your Serverless Functions inside.

In order to customize the Memory or Maximum Execution Duration of your Serverless Functions, you can use the functions property.

Community Runtimes

If you would like to use a language that Vercel does not support by default, you can use a Community Runtime by setting the functions property in vercel.json:

{
  "functions": {
    "api/test.php": {
      "runtime": "vercel-php@0.1.0"
    }
  }
}

The following Community Runtimes are recommended by Vercel:

Advanced Node.js Usage

In order to use this Runtime, no configuration is needed. You only need to create a file inside the api directory.

The entry point for src must be a glob matching .js or .ts files that export a default function. For more information on using this Runtime, see the Node.js Runtime section.

Disabling Helpers for Node.js

Within a vercel.json configuration file at your project's root, use the following build environment variable to disable helpers.

{
  "build": {
    "env": {
      "NODEJS_HELPERS": "0"
    }
  }
}

An example vercel.json file that will turn off the default helpers for your Node.js Serverless Function.

Private npm Modules for Node.js

To install private npm modules, define NPM_TOKEN as a build environment variable in vercel.json.

Alternatively, define NPM_RC as a build environment variable with the contents of ~/.npmrc.

Custom Build Step for Node.js

In some cases, you may wish to include build outputs inside your Serverless Function. You can run a build task by adding a vercel-build script within your package.json file, in the same directory as your Serverless Function or any parent directory. The package.json nearest to the Serverless Function will be preferred and used for both Installing and Building.

For example:

{
  "scripts": {
    "vercel-build": "node ./build.js"
  }
}

An example package.json file with a vercel-build script to execute in the build step.

Along with build script named build.js:

const fs = require('fs')
fs.writeFile('built-time.js', `module.exports = '${new Date()}'`, (err) => {
  if (err) throw err
  console.log('Build time file created successfully!')
})

An example Node.js file, executed by the above package.json build script.

And a .js file for the built Serverless Functions, index.js inside the /api directory:

const BuiltTime = require('./built-time')
module.exports = (req, res) => {
  res.setHeader('content-type', 'text/plain')
  res.send(`
    This Serverless Function was built at ${new Date(BuiltTime)}.
    The current time is ${new Date()}
  `)
}

An example Node.js Serverless Function, using information from the created file from the build script.

Legacy Serverful Behavior

A Node.js Runtime entrypoint can contain one of the following to retain legacy serverful behavior:

• Default export server, such as module.exports = http.createServer((req, res) => { res.end('hello') }).
• Server listens on a port, such as http.createServer((req, res) => { res.end('hello') }).listen(3000).

AWS Lambda API

The Node.js Runtime provides a way to opt into the AWS Lambda API. This is useful if you have existing Serverless Functions you wish to deploy to Vercel but do not want to change the API.

exports.handler = async function (event, context, callback) {
  return {
    statusCode: 200,
    headers: {},
    body: 'Hello world',
  }
}

{
  "build": {
    "env": {
      "NODEJS_AWS_HANDLER_NAME": "handler"
    }
  }
}

The value of the environment variable needs to match the name of the method that is exported from your Serverless Functions.

Advanced Go Usage

In order to use this Runtime, no configuration is needed. You only need to create a file inside the api directory.

The entry point of this Runtime is a global matching .go files that export a function that implements the http.HandlerFunc signature. For more information on using this Runtime, see the Go Runtime section.

Private Packages for Go

To install private packages with go get, define GIT_CREDENTIALS as a build environment variable in vercel.json.

All major Git providers are supported including GitHub, GitLab, Bitbucket, as well as a self-hosted Git server.

With GitHub, you will need to create a personal token with permission to access your private repository.

{
  "build": {
    "env": {
      "GIT_CREDENTIALS": "https://username:token@github.com"
    }
  }
}

An example vercel.json file containing a build environment variable with the value of GitHub credentials.

Advanced Python Usage

In order to use this Runtime, no configuration is needed. You only need to create a file inside the api directory.

The entry point of this Runtime is a glob matching .py source files with one of the following variables defined:

• handler that inherits from the BaseHTTPRequestHandler class.
• app that exposes a WSGI or ASGI Application.

Reading Relative Files in Python

Python uses the current working directory when a relative file is passed to open().

The current working directory is the base of your project, not the api/ directory.

For example, the following directory structure:

├── README.md
├── api
|  ├── user.py
├── data
|  └── file.txt
└── requirements.txt

With the above directory structure, your function in api/user.py can read the contents of data/file.txt in a couple different ways.

You can use the path relative to the project's base directory.

# api/user.py
from http.server import BaseHTTPRequestHandler
from os.path import join

class handler(BaseHTTPRequestHandler):

    def do_GET(self):
        self.send_response(200)
        self.send_header('Content-type','text/plain')
        self.end_headers()
        with open(join('data', 'file.txt'), 'r') as file:
          for line in file:
            self.wfile.write(line.encode())
        return

Or you can use the path relative to the current file's directory.

# api/user.py
from http.server import BaseHTTPRequestHandler
from os.path import dirname, abspath, join
dir = dirname(abspath(__file__))

class handler(BaseHTTPRequestHandler):

    def do_GET(self):
        self.send_response(200)
        self.send_header('Content-type','text/plain')
        self.end_headers()
        with open(join(dir, '..', 'data', 'file.txt'), 'r') as file:
          for line in file:
            self.wfile.write(line.encode())
        return

Web Server Gateway Interface

The Web Server Gateway Interface (WSGI) is a calling convention for web servers to forward requests to web applications written in Python. You can use WSGI with frameworks such as Flask or Django.

Instead of defining a handler, define an app variable in your Python file, when using vercel.json config. For example, define a index.py file inside your project as follows:

from flask import Flask, Response
app = Flask(__name__)

@app.route('/', defaults={'path': ''})
@app.route('/<path:path>')
def catch_all(path):
    return Response("<h1>Flask</h1><p>You visited: /%s</p>" % (path), mimetype="text/html")

An example index.py file, using Flask for a WSGI application.

Inside requirements.txt define:

flask==1.0.2

An example requirements.txt file, listing flask as a dependency.

Asynchronous Server Gateway Interface

The Asynchronous Server Gateway Interface (ASGI) is a calling convention for web servers to forward requests to asynchronous web applications written in Python. You can use ASGI with frameworks such as Sanic.

Instead of defining a handler, define an app variable in your Python file.

For example, define a index.py file inside a folder as follows:

from sanic import Sanic
from sanic.response import json
app = Sanic()


@app.route('/')
@app.route('/<path:path>')
async def index(request, path=""):
    return json({'hello': path})

An example index.py file, using Sanic for a ASGI application.

Inside requirements.txt define:

sanic==19.6.0

An example requirements.txt file, listing sanic as a dependency.

Developing Your Own Runtime

Extending the feature-set of a Vercel deployment is as simple as creating a Runtime that takes a list of files and outputs either static files or dynamic Serverless Functions.

A full API reference is available to help with creating Runtimes.

Technical Details

Caching Data

A runtime can retain an archive of up to 100mb of the filesystem at build time. The cache key is generated as a combination of:

• Project name.
• Team id or user id.
• Entrypoint path (e.g., api/users/index.go).
• Runtime identifier including version (e.g.: @vercel/go@0.0.1).

The cache will be invalidated if any of those items changes. The user can bypass the cache by running vercel -f.

Limits

• Runtimes can run for a maximum of 5 minutes before the execution times out.
• The maximum cache archive size of a Runtime is 100mb.
• The cache TTL is 7 days.

Including Additional Files

Most Runtimes use static analysis to determine which source files should be included in the Serverless Function output based on the build src input. Any unused code or assets is ignored to ensure your Serverless Function is as small as possible.

For example, the Node Runtime looks at calls to require() or fs.readFile() in order to determine which files to include automatically.

// index.js
const { readFileSync } = require('fs');
const { join } = require('path');
const file = readFileSync(join(__dirname, 'config', 'ci.yml'), 'utf8');

This /index.js file reads the contents of /config/ci.yml.
The use of __dirname is necessary to read a file relative to the current file.

In some cases, you may wish to include templates or views that are not able to be statically analyzed. Runtimes provide a configuration for includeFiles that accepts a glob of files that will always be included in the Serverless Functions output.

{
  "functions": {
    "api/test.js": {
      "includeFiles": "templates/**"
    }
  }
}

Using the default Node.js language and configuring the includeFiles within a vercel.json configuration file.