SDKs overview

Vercel's ecosystem prioritizes an integrated developer experience, particularly for frontend frameworks. While a singular, comprehensive SDK for the entire Vercel API is not the primary offering, Vercel provides specific SDKs and integrations tailored for popular web frameworks, along with a powerful Command Line Interface (CLI) for managing deployments and resources programmatically. This approach allows developers to interact with Vercel's platform features directly within their application code or through familiar command-line workflows. The Vercel platform supports a range of languages for serverless functions, including JavaScript, TypeScript, Python, Go, and Rust, enabling flexibility in backend logic alongside frontend development.

The core of Vercel's API interaction is often facilitated through the Vercel CLI, which provides capabilities for deployment, project linking, environment variable management, and logging. For direct API calls, Vercel offers a comprehensive Vercel API reference detailing endpoints for project management, deployments, domains, and more. The framework-specific SDKs, such as those for Next.js and SvelteKit, integrate Vercel's services directly into the development lifecycle of those frameworks, simplifying tasks like data fetching, image optimization, and serverless function deployment.

Official SDKs by language

Vercel's official SDKs primarily focus on deep integration with specific web frameworks rather than standalone language-specific client libraries for its entire API. These integrations are designed to enhance the developer experience within those frameworks, leveraging Vercel's platform features such as serverless functions, image optimization, and data storage. The Vercel CLI serves as the primary multi-language tool for platform interaction from the command line, written in JavaScript/TypeScript but usable across any development environment.

Framework/Language Package/Tool Install Command (npm/yarn/pnpm) Maturity
Next.js (JavaScript/TypeScript) next, @vercel/og, @vercel/analytics npm install next Stable, Actively Developed
SvelteKit (JavaScript/TypeScript) @sveltejs/kit, Adapter npm install @sveltejs/kit Stable, Actively Developed
Remix (JavaScript/TypeScript) @remix-run/serve, Adapter npm install @remix-run/serve Stable, Actively Developed
Astro (JavaScript/TypeScript) astro, Adapter npm install astro Stable, Actively Developed
Vercel CLI (JavaScript/TypeScript) vercel npm install -g vercel --force Stable, Actively Developed
Python (Serverless Functions) N/A (runtime support) N/A (requirements.txt) Stable (runtime), Community Libraries
Go (Serverless Functions) N/A (runtime support) N/A (go.mod) Stable (runtime), Community Libraries
Rust (Serverless Functions) N/A (runtime support) N/A (Cargo.toml) Stable (runtime), Community Libraries

Beyond these framework-specific integrations, Vercel also provides specific utility SDKs for its data products, such as @vercel/kv for Vercel KV, @vercel/blob for Vercel Blob, and @vercel/postgres for Vercel Postgres. Additionally, the Vercel AI SDK facilitates integration with various AI models within JavaScript and TypeScript applications.

Installation

Installation procedures for Vercel-related tools vary depending on whether you are setting up a new project with a framework like Next.js or installing the global Vercel CLI. Most installations involve Node.js package managers like npm, yarn, or pnpm.

Vercel CLI Installation

The Vercel CLI is a global tool used for deploying projects, managing domains, and interacting with Vercel services from your terminal. It is typically installed once globally.

npm install -g vercel

After installation, you can log in to your Vercel account via the CLI:

vercel login

This command will open a browser window to complete the authentication process.

Framework-Specific SDKs and Integrations

For frameworks like Next.js, SvelteKit, Remix, and Astro, the relevant packages are typically installed as project dependencies when you create a new project or add specific features. For example, to create a new Next.js application:

npx create-next-app my-vercel-app

This command installs Next.js and its dependencies, including those that interact with Vercel's platform features. Similarly, for SvelteKit:

npm create svelte@latest my-sveltekit-app

For Vercel's data products and AI SDK, you install them as project dependencies:

npm install @vercel/kv # For Vercel KV
npm install @vercel/blob # For Vercel Blob
npm install @vercel/postgres # For Vercel Postgres
npm install ai # For Vercel AI SDK

Serverless Function Runtimes

For serverless functions written in Python, Go, or Rust, there are no specific Vercel SDKs to install. Instead, you define your dependencies within language-specific configuration files (e.g., requirements.txt for Python, go.mod for Go, Cargo.toml for Rust), and Vercel automatically installs them during the build process when deploying your project. For detailed guidance on creating serverless functions, refer to the Vercel Serverless Functions documentation.

Quickstart example

This example demonstrates how to deploy a simple Next.js application using the Vercel CLI and integrate with Vercel KV using the @vercel/kv SDK. This setup will create a basic page that displays and increments a counter stored in Vercel KV.

1. Create a Next.js project

First, create a new Next.js project:

npx create-next-app vercel-kv-example --ts --eslint --app --src-dir --import-alias "@/*"

Navigate into the new directory:

cd vercel-kv-example

2. Install Vercel KV SDK

Install the @vercel/kv package:

npm install @vercel/kv

3. Set up Vercel KV and environment variables

You'll need a Vercel KV database. Create one through the Vercel dashboard or CLI. Once created, link your project to Vercel and then link the KV store:

vercel link
vercel env pull .env.local

This command pulls the necessary KV_URL and KV_REST_API_TOKEN (or similar) into your .env.local file.

4. Create an API route for incrementing the counter

Create a new file src/app/api/increment/route.ts:

import { kv } from '@vercel/kv';
import { NextResponse } from 'next/server';

export async function GET() {
  const currentCount = await kv.get<number>('my-counter');
  const newCount = (currentCount || 0) + 1;
  await kv.set('my-counter', newCount);
  return NextResponse.json({ count: newCount });
}

5. Modify the home page to display the counter

Edit src/app/page.tsx to fetch and display the counter:

import { kv } from '@vercel/kv';

export default async function Home() {
  // Fetch initial count from Vercel KV
  const initialCount = await kv.get<number>('my-counter') || 0;

  return (
    <main style={{ padding: '20px', textAlign: 'center' }}>
      <h1>Vercel KV Counter Example</h1>
      <p>Current Count: {initialCount}</p>
      <form action="/api/increment" method="GET">
        <button type="submit">Increment Counter (Refresh)</button>
      </form>
      <p><em>Note: The count will increment on page refresh after clicking the button.</em></p>
    </main>
  );
}

6. Deploy your application

Deploy your application to Vercel:

vercel

Follow the CLI prompts to link to an existing project or create a new one. Vercel will build and deploy your application, making it accessible at a generated URL. Each time you visit the home page, it will display the current count from Vercel KV, and clicking the button will update it via the API route upon the next page load.

Community libraries

Given Vercel's focus on first-party framework integrations and CLI tooling, the community largely builds upon these foundations rather than creating entirely separate SDKs for the core Vercel API. However, several community efforts extend Vercel's capabilities or offer alternative approaches to common tasks.

  • Vercel Blob Upload Components: While Vercel provides the official @vercel/blob SDK for direct programmatic interaction, community components and hooks often emerge to simplify client-side uploads and UI integration, abstracting the low-level API calls.
  • Deployment Automation Scripts: Developers frequently create custom GitHub Actions, GitLab CI/CD pipelines, or other automation scripts that leverage the Vercel CLI or direct Vercel API calls to manage deployments in more complex project setups. For example, custom logic for staging environments or conditional deployments may use shell scripts wrapping vercel deploy commands.
  • Monitoring and Observability Integrations: Community packages or configurations might provide ready-to-use integrations with third-party monitoring tools (like Prometheus or Grafana) for Vercel Serverless Functions, extending Vercel's built-in analytics. For example, developers may use OpenTelemetry libraries to instrument their functions and send traces to observability platforms, as outlined in general distributed tracing guides from sources like Google Cloud's OpenTelemetry documentation.
  • Framework Adapters: Beyond the officially supported frameworks, the community sometimes develops or maintains adapters for other less common frameworks to deploy them seamlessly on Vercel, by aligning their build output with Vercel's build system expectations.

When considering community libraries, it is advisable to check their maintenance status, documentation, and community support to ensure compatibility and reliability with the evolving Vercel platform. The official Vercel documentation and GitHub repositories for Vercel's core projects (e.g., Next.js) are the primary sources for up-to-date information and recommended practices.