Vercel

Vercel provider for ComputeSDK - Execute code in globally distributed serverless environments.

Installation & Setup

npm install @computesdk/vercel

Add your Vercel credentials to a .env file:

VERCEL_TOKEN=your_vercel_token
VERCEL_TEAM_ID=your_vercel_team_id
VERCEL_PROJECT_ID=your_vercel_project_id

Usage

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

const compute = vercel({
  token: process.env.VERCEL_TOKEN,
  teamId: process.env.VERCEL_TEAM_ID,
  projectId: process.env.VERCEL_PROJECT_ID,
});

// Create sandbox
const sandbox = await compute.sandbox.create();

// Execute code
const result = await sandbox.runCode('print("Hello from Vercel!")');
console.log(result.output); // "Hello from Vercel!"

// Clean up
await sandbox.destroy();

Configuration Options

interface VercelConfig {
  /** Vercel token - if not provided, will use env vars */
  token?: string;
  /** Team ID for team accounts */
  teamId?: string;
  /** Project ID */
  projectId?: string;
  /** Runtime environment */
  runtime?: 'node' | 'python';
  /** Execution timeout in milliseconds */
  timeout?: number;
}

Runtime Detection

The provider automatically detects the runtime based on code patterns:

Python indicators:

• print statements
• import statements
• def function definitions
• Python-specific syntax (f", __, etc.)

Default: Node.js for all other cases