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cloudflare-sandbox

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This skill provides comprehensive knowledge for building applications with Cloudflare Sandboxes SDK, which enables secure, isolated code execution in full Linux containers at the edge. It should be used when executing untrusted code, running Python/Node.js scripts, performing git operations, building AI code execution systems, creating interactive development environments, or implementing CI/CD workflows that require full OS capabilities. Use when: Setting up Cloudflare Sandboxes, executing Python/Node.js code safely, managing stateful development environments, implementing AI code interpreters, running shell commands in isolation, handling git repositories programmatically, building chat-based coding agents, creating temporary build environments, processing files with system tools (ffmpeg, imagemagick, etc.), or when encountering issues with container lifecycle, session management, or state persistence. Keywords: cloudflare sandbox, container execution, code execution, isolated environment, durable objects, linux container, python execution, node execution, git operations, code interpreter, AI agents, session management, ephemeral container, workspace, sandbox SDK, @cloudflare/sandbox, exec(), getSandbox(), runCode(), gitCheckout(), ubuntu container

Backend & APIs

What this skill does


# Cloudflare Sandboxes SDK

**Status**: Production Ready (Open Beta)
**Last Updated**: 2025-10-29
**Dependencies**: `cloudflare-worker-base`, `cloudflare-durable-objects` (recommended for understanding)
**Latest Versions**: `@cloudflare/[email protected]`, Docker image: `cloudflare/sandbox:0.4.12`

---

## Quick Start (15 Minutes)

### 1. Install SDK and Setup Wrangler

```bash
npm install @cloudflare/sandbox@latest
```

**wrangler.jsonc:**
```jsonc
{
  "name": "my-sandbox-worker",
  "main": "src/index.ts",
  "compatibility_flags": ["nodejs_compat"],
  "containers": [{
    "class_name": "Sandbox",
    "image": "cloudflare/sandbox:0.4.12",
    "instance_type": "lite"
  }],
  "durable_objects": {
    "bindings": [{
      "class_name": "Sandbox",
      "name": "Sandbox"
    }]
  },
  "migrations": [{
    "tag": "v1",
    "new_sqlite_classes": ["Sandbox"]
  }]
}
```

**Why this matters:**
- `nodejs_compat` enables Node.js APIs required by SDK
- `containers` defines the Ubuntu container image
- `durable_objects` binding enables persistent routing
- `migrations` registers the Sandbox class

### 2. Create Your First Sandbox Worker

```typescript
import { getSandbox, type Sandbox } from '@cloudflare/sandbox';
export { Sandbox } from '@cloudflare/sandbox';

type Env = {
  Sandbox: DurableObjectNamespace<Sandbox>;
};

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    // Get sandbox instance (creates if doesn't exist)
    const sandbox = getSandbox(env.Sandbox, 'my-first-sandbox');

    // Execute Python code
    const result = await sandbox.exec('python3 -c "print(2 + 2)"');

    return Response.json({
      output: result.stdout,
      success: result.success,
      exitCode: result.exitCode
    });
  }
};
```

**CRITICAL:**
- **MUST export** `{ Sandbox }` from `@cloudflare/sandbox` in your Worker
- Sandbox ID determines routing (same ID = same container)
- First request creates container (~2-3 min cold start)
- Subsequent requests are fast (<1s)

### 3. Deploy and Test

```bash
npm run deploy
curl https://your-worker.workers.dev
```

Expected output:
```json
{
  "output": "4\n",
  "success": true,
  "exitCode": 0
}
```

---

## Architecture (Understanding the 3-Layer Model)

### How Sandboxes Work

```
┌─────────────────────────────────────────┐
│  Your Worker (Layer 1)                  │
│  - Handles HTTP requests                │
│  - Calls getSandbox()                   │
│  - Uses sandbox.exec(), writeFile(), etc│
└──────────────┬──────────────────────────┘
               │ RPC via Durable Object
┌──────────────▼──────────────────────────┐
│  Durable Object (Layer 2)               │
│  - Routes by sandbox ID                 │
│  - Maintains persistent identity        │
│  - Geographic stickiness                │
└──────────────┬──────────────────────────┘
               │ Container API
┌──────────────▼──────────────────────────┐
│  Ubuntu Container (Layer 3)             │
│  - Full Linux environment               │
│  - Python 3.11, Node 20, Git, etc.      │
│  - Filesystem: /workspace, /tmp, /home  │
│  - Process isolation (VM-based)         │
└─────────────────────────────────────────┘
```

**Key Insight**: Workers handle API logic (fast), Durable Objects route requests (persistent identity), Containers execute code (full capabilities).

---

## Critical Container Lifecycle (Most Important Section!)

### Container States

```
┌─────────┐  First request  ┌────────┐  ~10 min idle  ┌──────┐
│ Not     │ ───────────────>│ Active │ ─────────────> │ Idle │
│ Created │                 │        │                │      │
└─────────┘                 └───┬────┘                └──┬───┘
                                │ ^                      │
                                │ │ New request          │
                                │ └──────────────────────┘
                                │                         │
                                ▼                         ▼
                            Files persist          ALL FILES DELETED
                            Processes run          ALL PROCESSES KILLED
                            State maintained       ALL STATE RESET
```

### The #1 Gotcha: Ephemeral by Default

**While Container is Active** (~10 min after last request):
- ✅ Files in `/workspace`, `/tmp`, `/home` persist
- ✅ Background processes keep running
- ✅ Shell environment variables remain
- ✅ Session working directories preserved

**When Container Goes Idle** (after inactivity):
- ❌ **ALL files deleted** (entire filesystem reset)
- ❌ **ALL processes terminated**
- ❌ **ALL shell state lost**
- ⚠️  Next request creates **fresh container from scratch**

**This is NOT like a traditional server**. Sandboxes are ephemeral by design.

### Handling Persistence

**For Important Data**: Use external storage
```typescript
// Save to R2 before container goes idle
await sandbox.writeFile('/workspace/data.txt', content);
const fileData = await sandbox.readFile('/workspace/data.txt');
await env.R2.put('backup/data.txt', fileData);

// Restore on next request
const restored = await env.R2.get('backup/data.txt');
if (restored) {
  await sandbox.writeFile('/workspace/data.txt', await restored.text());
}
```

**For Build Artifacts**: Accept ephemerality or use caching
```typescript
// Check if setup needed (handles cold starts)
const exists = await sandbox.readdir('/workspace/project').catch(() => null);
if (!exists) {
  await sandbox.gitCheckout(repoUrl, '/workspace/project');
  await sandbox.exec('npm install', { cwd: '/workspace/project' });
}
// Now safe to run build
await sandbox.exec('npm run build', { cwd: '/workspace/project' });
```

---

## Session Management (Game-Changer for Chat Agents)

### What Are Sessions?

Sessions are **bash shell contexts** within one sandbox. Think terminal tabs.

**Key Properties**:
- Each session has separate working directory
- Sessions share same filesystem
- Working directory persists across commands in same session
- Perfect for multi-step workflows

### Pattern: Chat-Based Coding Agent

```typescript
type ConversationState = {
  sandboxId: string;
  sessionId: string;
};

// First message: Create sandbox and session
const sandboxId = `user-${userId}`;
const sandbox = getSandbox(env.Sandbox, sandboxId);
const sessionId = await sandbox.createSession();

// Store in conversation state (database, KV, etc.)
await env.KV.put(`conversation:${conversationId}`, JSON.stringify({
  sandboxId,
  sessionId
}));

// Later messages: Reuse same session
const state = await env.KV.get(`conversation:${conversationId}`);
const { sandboxId, sessionId } = JSON.parse(state);
const sandbox = getSandbox(env.Sandbox, sandboxId);

// Commands run in same context
await sandbox.exec('cd /workspace/project', { session: sessionId });
await sandbox.exec('ls -la', { session: sessionId }); // Still in /workspace/project
await sandbox.exec('git status', { session: sessionId }); // Still in /workspace/project
```

### Without Sessions (Common Mistake)

```typescript
// ❌ WRONG: Each command runs in separate session
await sandbox.exec('cd /workspace/project');
await sandbox.exec('ls'); // NOT in /workspace/project (different session)
```

### Pattern: Parallel Execution

```typescript
const session1 = await sandbox.createSession();
const session2 = await sandbox.createSession();

// Run different tasks simultaneously
await Promise.all([
  sandbox.exec('python train_model.py', { session: session1 }),
  sandbox.exec('node generate_reports.js', { session: session2 })
]);
```

---

## Sandbox Naming Strategies

### Per-User Sandboxes (Persistent Workspace)

```typescript
const sandbox = getSandbox(env.Sandbox, `user-${userId}`);
```

**Pros**: User's work persists while actively using (10 min idle time)
**Cons**: Geographic lock-in (first request determines location)
**Use Cases**: Interactive notebooks, IDEs, persistent workspaces

### Per-Session Sandboxes (Fresh Each Time)

```typescript
const sandboxId = `session-${Date.

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