mcpField
S
sandbox-sdk

sandbox-sdk

github.com/midudevCloud & DevOps7.0k56 installsUpdated 1w ago
Repository

About sandbox-sdk

sandbox-sdk is a skill for building isolated code-execution environments with Cloudflare Sandbox SDK on Cloudflare Workers. It documents command execution, code interpretation, file operations, sandbox lifecycle, and service port exposure.

Key features

  1. 01Shell command execution
  2. 02Python, JavaScript, and TypeScript execution
  3. 03Persistent interpreter contexts
  4. 04Sandbox file operations
  5. 05Port exposure and cleanup

Use cases

  1. 01Running LLM-generated code in a sandbox
  2. 02Executing scripts and build or test commands
  3. 03Analyzing data with persistent interpreter state
  4. 04Previewing an HTTP service from a sandbox

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/midudev/autoskills --skill sandbox-sdk

After installing, type/sandbox-sdkin Claude Code to confirm it loaded.

Bundled filesreferences/api-quick-ref.mdreferences/examples.md

Details

From the project README

Cloudflare Sandbox SDK

Build secure, isolated code execution environments on Cloudflare Workers.

FIRST: Verify Installation

npm install @cloudflare/sandbox
docker info  # Must succeed - Docker required for local dev

Retrieval Sources

Your knowledge of the Sandbox SDK may be outdated. Prefer retrieval over pre-training for any Sandbox SDK task.

ResourceURL
Docshttps://developers.cloudflare.com/sandbox/
API Referencehttps://developers.cloudflare.com/sandbox/api/
Exampleshttps://github.com/cloudflare/sandbox-sdk/tree/main/examples
Get Startedhttps://developers.cloudflare.com/sandbox/get-started/

When implementing features, fetch the relevant doc page or example first.

Required Configuration

wrangler.jsonc (exact - do not modify structure):

{
  "containers": [{
    "class_name": "Sandbox",
    "image": "./Dockerfile",
    "instance_type": "lite",
    "max_instances": 1
  }],
  "durable_objects": {
    "bindings": [{ "class_name": "Sandbox", "name": "Sandbox" }]
  },
  "migrations": [{ "new_sqlite_classes": ["Sandbox"], "tag": "v1" }]
}

Worker entry - must re-export Sandbox class:

import { getSandbox } from '@cloudflare/sandbox';
export { Sandbox } from '@cloudflare/sandbox';  // Required export

Quick Reference

TaskMethod
Get sandboxgetSandbox(env.Sandbox, 'user-123')
Run commandawait sandbox.exec('python script.py')
Run code (interpreter)await sandbox.runCode(code, { language: 'python' })
Write fileawait sandbox.writeFile('/workspace/app.py', content)
Read fileawait sandbox.readFile('/workspace/app.py')
Create directoryawait sandbox.mkdir('/workspace/src', { recursive: true })
List filesawait sandbox.listFiles('/workspace')
Expose portawait sandbox.exposePort(8080)
Destroyawait sandbox.destroy()

Core Patterns

Execute Commands
const sandbox = getSandbox(env.Sandbox, 'user-123');
const result = await sandbox.exec('python --version');
// result: { stdout, stderr, exitCode, success }
Code Interpreter (Recommended for AI)

Use runCode() for executing LLM-generated code with rich outputs:

const ctx = await sandbox.createCodeContext({ language: 'python' });

await sandbox.runCode('import pandas as pd; data = [1,2,3]', { context: ctx });
const result = await sandbox.runCode('sum(data)', { context: ctx });
// result.results[0].text = "6"

Languages: python, javascript, typescript

State persists within context. Create explicit contexts for production.

File Operations
await sandbox.mkdir('/workspace/project', { recursive: true });
await sandbox.writeFile('/workspace/project/main.py', code);
const file = await sandbox.readFile('/workspace/project/main.py');
const files = await sandbox.listFiles('/workspace/project');

When to Use What

NeedUseWhy
Shell commands, scriptsexec()Direct control, streaming
LLM-generated coderunCode()Rich outputs, state persistence
Build/test pipelinesexec()Exit codes, stderr capture
Data analysisrunCode()Charts, tables, pandas

Extending the Dockerfile

Base image (docker.io/cloudflare/sandbox:0.7.0) includes Python 3.11, Node.js 20, and common tools.

Add dependencies by extending the Dockerfile:

FROM docker.io/cloudflare/sandbox:0.7.0

# Python packages
RUN pip install requests beautifulsoup4

# Node packages (global)
RUN npm install -g typescript

# System packages
RUN apt-get update && apt-get install -y ffmpeg && rm -rf /var/lib/apt/lists/*

EXPOSE 8080  # Required for local dev port exposure

Keep images lean - affects cold start time.

Preview URLs (Port Exposure)

Expose HTTP services running in sandboxes:

const { url } = await sandbox.exposePort(8080);
// Returns preview URL for the service

Production requirement: Preview URLs need a custom domain with wildcard DNS (*.yourdomain.com). The .workers.dev domain does not support preview URL subdomains.

See: https://developers.cloudflare.com/sandbox/guides/expose-services/

OpenAI Agents SDK Integration

The SDK provides helpers for OpenAI Agents at @cloudflare/sandbox/openai:

import { Shell, Editor } from '@cloudflare/sandbox/openai';

See examples/openai-agents for complete integration pattern.

Sandbox Lifecycle

  • getSandbox() returns immediately - container starts lazily on first operation
  • Containers sleep after 10 minutes of inactivity (configurable via sleepAfter)
  • Use destroy() to immediately free resources
  • Same sandboxId always returns same sandbox instance

Anti-Patterns

  • Don't use internal clients (CommandClient, FileClient) - use sandbox.* methods
  • Don't skip the Sandbox export - Worker won't deploy without export { Sandbox }
  • Don't hardcode sandbox IDs for multi-user - use user/session identifiers
  • Don't forget cleanup - call destroy() for temporary sandboxes

Detailed References

Comments

Markdown supported