Vercel

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

Installation & Setup

npm install computesdk

# add to .env file
COMPUTESDK_API_KEY=your_computesdk_api_key

VERCEL_TOKEN=your_vercel_token
VERCEL_TEAM_ID=your_vercel_team_id
VERCEL_PROJECT_ID=your_vercel_project_id

Usage

import { compute } from 'computesdk';
// auto-detects provider from environment variables

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

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

// Clean up
await compute.sandbox.destroy(sandbox.sandboxId);

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;
}

Explicit Provider Configuration

If you prefer to set the provider explicitly, you can do so as follows:

import { compute } from 'computesdk';

compute.setConfig({
   computesdkApiKey: process.env.COMPUTESDK_API_KEY,
   provider: 'vercel',
   vercel: {
     token: process.env.VERCEL_TOKEN,
     teamId: process.env.VERCEL_TEAM_ID,
     projectId: process.env.VERCEL_PROJECT_ID
   }
});

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

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