openai agents shell/apply_patch example

[threepointone]

[changeset-bot]

🦋 Changeset detected

Latest commit: 0144558

The changes in this PR will be included in the next version bump.

This PR includes changesets to release 1 package

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@cloudflare/sandbox	Patch

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[claude]

Claude Code Review

Solid OpenAI Agents integration example. The SandboxShell and WorkspaceEditor implementations correctly bridge the two SDKs. However, several issues need attention:

Critical:

• Unused @codesandbox/sandpack-react dependency bloats the package
• Auto-approval of shell commands and file operations needs prominent security warnings
• Path traversal protection should use proper path normalization

Important:

• Replace error: any with proper error types per CLAUDE.md standards
• Investigate or remove commented seedWorkspace() call
• README needs security warnings and deployment guidance

Nice to have:

• Deduplicate CommandResult/FileOperationResult types between frontend/backend
• Remove unused allResults field from API response
• Add error boundary to React app

The core functionality is well-implemented with good UX. Address the critical issues before merging.

[pkg-pr-new]

Open in StackBlitz

npm i https://pkg.pr.new/cloudflare/sandbox-sdk/@cloudflare/sandbox@221

commit: cfad673

[github-actions]

🐳 Docker Image Published

FROM cloudflare/sandbox:0.0.0-pr-221-6c52ec2

Version: 0.0.0-pr-221-6c52ec2

You can use this Docker image with the preview package from this PR.

[claude]

Claude Code Review

This PR adds a well-structured example demonstrating OpenAI agents integration with the Sandbox SDK. The adapter pattern for Shell and Editor interfaces is sound, and the frontend provides good UX. However, there are critical security and correctness issues that must be fixed before merge.

Critical Issues

1. Path traversal vulnerability in resolve() - doesn't normalize .. sequences before validation
2. Missing OpenAI API key configuration - README mentions it but code never uses it
3. Invalid model name gpt-5.1 - not a valid OpenAI model
4. Extensive use of any type - violates repository standards (CLAUDE.md: "Never use the any type")
5. Unused dependency @codesandbox/sandpack-react - adds unnecessary weight

Major Issues

• Commented-out seedWorkspace() with vague explanation should be removed or fixed
• Missing check script in package.json (other examples have this)
• Not using centralized error classes from @repo/shared/errors

Minor Issues

• Hardcoded DEBUG = true in logger
• Type duplication between frontend/backend
• Emoji usage violates coding standards
• localStorage parsing without error boundary

Verdict: Needs fixes before merge. The architecture is solid once security and type safety issues are addressed.

See inline comments for specific fixes.

[claude]

CRITICAL: Path traversal vulnerability

This resolve() function doesn't normalize .. sequences before checking if path is within workspace. An attacker could use paths like foo/../../../etc/passwd which would pass the startsWith('/workspace') check but resolve outside the workspace.

Fix: Normalize the path before validation:

private resolve(relativePath: string): string {
  const normalized = relativePath.replace(/^\.?\//, '');
  const resolved = normalized ? `${this.root}/${normalized}` : this.root;
  
  // Normalize to resolve .. sequences
  const parts = resolved.split('/').filter(p => p !== '');
  const stack: string[] = [];
  for (const part of parts) {
    if (part === '..') {
      stack.pop();
    } else if (part !== '.') {
      stack.push(part);
    }
  }
  const finalPath = '/' + stack.join('/');
  
  if (!finalPath.startsWith(this.root)) {
    throw new Error(`Operation outside workspace: ${relativePath}`);
  }
  return finalPath;
}

[claude]

Minor: Hardcoded debug flag

Debug logging is always enabled in production. Consider using environment variable or the centralized logger from @repo/shared which supports SANDBOX_LOG_LEVEL.

[claude]

Minor: localStorage parse error crashes app

If localStorage becomes corrupted, JSON.parse fails and user loses access to app. Add error recovery:

try {
  const parsed = JSON.parse(saved);
  setMessages(parsed);
} catch (error) {
  console.error('Error loading history:', error);
  localStorage.removeItem(STORAGE_KEY); // Clear corrupted data
}

To fix this, ensure that error details returned to users are generic and do not include any sensitive or internal details. Instead of sending the raw error message (potentially containing sensitive internal information), always send a fixed, generic error message such as "Internal server error" or "An error occurred". Log the real error and stack on the server for diagnostics, as is already being done. The only necessary change is to remove errorMessage from the HTTP response and replace it with a generic string.

Edit the region where the error response is constructed (lines 142–147). No code elsewhere needs to change. No extra dependencies or imports are required.

---

[claude]

Claude Code Review

The path traversal vulnerability is still present and must be fixed. The resolve() function doesn't normalize .. sequences before validation, allowing paths like foo/../../../etc/passwd to pass the startsWith check but resolve outside /workspace when executed by the filesystem.

The README still lacks security warnings about auto-approved operations. This needs prominent documentation before anyone deploys this.

Most other issues from the previous review remain unaddressed (debug logging, localStorage recovery, emojis). These are less critical but should be cleaned up.

Verdict: Needs fixes before merge. Path traversal is the blocker.

---

Critical issues (must fix):

• Path traversal vulnerability in resolve() function
• Missing security warnings in README

Important issues (should fix):

• Hardcoded debug logging
• localStorage error recovery

Minor issues (nice to have):

• Remove emojis per coding standards
• Add input validation/rate limiting
• Only log stack traces in development

[claude]

README needs prominent security warning before anyone deploys this. The auto-approval of all AI operations is a significant risk.

Suggest adding:

## Security Warning

**This example auto-approves all AI operations without human review.** The AI can:
- Execute ANY shell command
- Create, modify, or delete ANY file in /workspace
- No safety limits beyond the container itself

**Do not use in production without proper approval flows and rate limiting.**

[claude]

If localStorage is corrupted, JSON.parse fails but the bad data isn't cleared. Add recovery:

} catch (error) {
  console.error('Error loading history:', error);
  localStorage.removeItem(STORAGE_KEY);
  setMessages([]);
}

[claude]

Still needs fixing - add localStorage.removeItem(STORAGE_KEY) in the catch block to clear corrupted data.

[claude]

Claude Code Review

The OpenAI Agents integration is well-architected and follows SDK patterns correctly. However, there's a critical path traversal vulnerability that must be fixed before merge.

Critical Issues

Path traversal vulnerability remains unresolved. The resolve() method in Editor class (packages/sandbox/src/openai/index.ts:405-415) doesn't normalize .. sequences before validation. Paths like foo/../../../etc/passwd will pass the startsWith('/workspace') check but escape to parent directories when the filesystem resolves them.

This needs proper normalization that processes .. segments before checking containment. The current implementation only strips leading slashes and checks the literal string, which is insufficient.

README security warnings are missing. The example uses needsApproval: false which auto-approves all AI operations (arbitrary shell commands, file modifications) without any security warnings. Developers copying this for production will create serious vulnerabilities. Need prominent warnings about authentication, rate limiting, command whitelisting, and approval workflows before deployment.

Other Issues

Hardcoded debug logging (examples/openai-agents/src/logger.ts:2): DEBUG = true is always on, even in production. Use environment variable or the centralized logger from @repo/shared.

localStorage recovery (examples/openai-agents/src/app.tsx:57-60): Corrupted data isn't cleared, leaving app in broken state.

Stack trace exposure (flagged by GitHub Security): While logging internally is fine, add comments clarifying stack traces should never be exposed to clients.

What's Good

✓ No any types - excellent type safety
✓ Proper use of centralized logger in SDK
✓ Good package structure with separate exports
✓ Solid foundation for OpenAI integration
✓ Changeset properly created

Verdict

Needs fixes before merge - the path traversal vulnerability is a security blocker. After fixing that and adding README warnings, this will be ready to ship.

[claude]

Claude Code Review

This PR implements a clean OpenAI Agents integration with good adapter patterns and comprehensive result collection. However, there is one critical security vulnerability that must be fixed before merge.

Critical Issue: Path Traversal Vulnerability

The resolve() method in the Editor class doesn't properly sanitize .. segments before checking path boundaries. This allows directory traversal attacks like ../../etc/passwd to escape the workspace.

Required fix: Normalize path segments and validate containment before filesystem operations. See inline comment for implementation.

Architecture Issues

• Error handling: Should use centralized error types from @repo/shared/errors instead of generic Error instances (or document why standard errors are required by OpenAI Agents contract)
• Logger naming: Component should be 'sandbox-client' not 'sandbox-do' since this code runs in the SDK layer
• Test types: Remove any types in tests, use proper mock interfaces per project standards

Missing Test Coverage

Critical: Add security tests for path traversal attempts (../, ../../, etc.)

Recommended: Add tests for edge cases like non-zero exit codes, stderr output, nested directories, and concurrent operations.

Positive Aspects

• Clean adapter pattern implementation
• Excellent structured result collection (CommandResult[], FileOperationResult[])
• Proper timeout handling
• Type-safe error guards
• Correct optional peer dependency pattern
• Changeset follows project rules

Verdict

Needs fixes before merge - specifically the path traversal vulnerability and security tests. The other issues are important for consistency but not blocking if you want to address them in a follow-up.

[claude]

Logger component name should be 'sandbox-client' or 'openai-adapter', not 'sandbox-do'. This code runs in the SDK client layer, not in the Durable Object. Using 'sandbox-do' makes debugging harder since logs incorrectly indicate their source.

[threepointone]

@copilot fix this please

[claude]

Still shows 'sandbox-do' on line 38-39. Should be 'openai-adapter' to accurately reflect this runs in the SDK client layer.

[claude]

Still shows 'sandbox-do' in the latest commit. This needs to be changed to 'openai-adapter' to reflect where this code actually runs (SDK client layer, not Durable Object).

[claude]

Consider using centralized error types from @repo/shared/errors (e.g., ErrorCode.FILE_NOT_FOUND) instead of generic Error instances. This maintains consistency with the SDK's architecture pattern documented in CLAUDE.md.

If the OpenAI Agents contract requires standard Error objects, that's fine - just ensure enough context is included for debugging.

[claude]

Claude Code Review

Good progress on addressing previous feedback. The path traversal security is now solid - I traced through multiple attack scenarios and the stack-based normalization correctly handles all edge cases.

Still need fixes for:

1. Logger component name (line 38-39 of openai/index.ts): Still shows 'sandbox-do' but should be 'openai-adapter'. This makes debugging harder since logs incorrectly indicate their source.

2. Error stack exposure (lines 132-136 of example worker): getErrorStack() function exists but stack traces shouldn't be in API responses - only server logs. Either remove the function or clarify it's internal-only.

3. localStorage error recovery (app.tsx line 60): When JSON.parse fails on corrupted data, the bad data isn't cleared. Add localStorage.removeItem(STORAGE_KEY) in the catch block.

The rest looks good - excellent test coverage, proper type safety, and clear security warnings in the README.

Verdict: Fix these three issues before merge.

[claude]

Claude Code Review

The localStorage issue from my previous review is still not fixed. The catch block at line 59 needs localStorage.removeItem(STORAGE_KEY) to handle corrupted data.

New issues found:

Critical:

• Invalid model name 'gpt-5.1' in examples/openai-agents/src/index.ts:78 - this will cause runtime errors. Use 'gpt-4o' or another valid OpenAI model.
• Hardcoded platform in examples/openai-agents/Dockerfile:9 breaks on non-ARM64 systems

Code quality:

• Error handling utilities duplicated between packages/sandbox/src/openai/index.ts and examples/openai-agents/src/index.ts - should move to shared package

Positive:

• Comprehensive security testing for path traversal
• No any types - proper type safety throughout
• Excellent documentation with clear security warnings
• Good architectural patterns

Needs fixes before merge.

[claude]

Still missing localStorage.removeItem(STORAGE_KEY) here. When JSON.parse fails due to corrupted data, the corrupted data remains in localStorage and breaks the app on every reload. Add:

catch (error) {
  console.error('Error loading history:', error);
  localStorage.removeItem(STORAGE_KEY);
}

[claude]

This still needs fixing. Without localStorage.removeItem(STORAGE_KEY), corrupted data persists and breaks the app on every reload. The fix is a one-line addition to the catch block.

[claude]

Hardcoded --platform=linux/arm64 breaks on non-ARM64 systems (Intel Macs, Linux x64). The official images support both platforms, so remove the platform flag:

FROM cloudflare/sandbox-test:0.5.0

[claude]

These error handling utilities (lines 44-68) are duplicated in examples/openai-agents/src/index.ts (lines 8-31). Move to packages/shared/src/error-utils.ts for reusability:

import { isErrorWithProperties, getErrorMessage, toError } from '@repo/shared';

[claude]

Claude Code Review

High-quality implementation with comprehensive tests and documentation. The core adapters are solid, but need fixes before merge.

Critical Issues (Must Fix)

1. Security warning needs prominence - The security implications of auto-approving AI operations should be at the top of documentation, not buried at the bottom
2. Invalid model in example - gpt-5.1 doesn't exist, should be gpt-4-turbo

Important Issues (Should Fix)

3. Add rate limiting to example - Example has no protection against API abuse
4. Path resolution edge case - Needs test for absolute paths that start with workspace root
5. Missing deployment guidance - Docs should cover Cloudflare-specific considerations (Durable Objects, costs, rate limiting)

Strengths

• No any types, proper TypeScript throughout
• Excellent security tests for path traversal
• Comprehensive documentation
• Follows SDK patterns correctly
• Optional peer dependency approach is sound

Verdict: Approve after addressing the 2 critical issues.

See inline comments for specifics.

[claude]

Critical: Security warning needs to be prominent at the top.

Add this immediately after the title:

> **⚠️ SECURITY WARNING**
> 
> These adapters enable AI agents to execute arbitrary shell commands and modify files. When using `needsApproval: false`, the AI has **unrestricted access** within the container.
> 
> **Production deployments MUST:**
> - Implement approval workflows for sensitive operations
> - Set up rate limiting to prevent abuse
> - Monitor and log all agent operations
> - Validate AI responses before executing operations

Developers scanning quickly will miss the security implications if it's only in the example README.

[claude]

Critical: Invalid model name.

gpt-5.1 doesn't exist. Change to:

model: 'gpt-4-turbo',  // or 'gpt-4'

[claude]

Important: No rate limiting.

This example should demonstrate production-ready patterns. Add basic rate limiting:

const RATE_LIMIT = 10; // requests per minute
const rateLimitMap = new Map<string, { count: number; resetAt: number }>();

function checkRateLimit(sessionId: string): boolean {
  const now = Date.now();
  const entry = rateLimitMap.get(sessionId);
  
  if (!entry || now >= entry.resetAt) {
    rateLimitMap.set(sessionId, { count: 1, resetAt: now + 60000 });
    return true;
  }
  
  if (entry.count >= RATE_LIMIT) return false;
  entry.count++;
  return true;
}

// In fetch:
if (!checkRateLimit(sessionId)) {
  return new Response('Rate limit exceeded', { status: 429 });
}

[claude]

Important: Path resolution edge case.

What happens if the AI provides an absolute path that's already within the workspace?

Example: With root = '/workspace', if path is /workspace/file.txt:

1. Leading / gets stripped → workspace/file.txt
2. Joined with root → /workspace/workspace/file.txt ❌

Add test case:

it('should handle absolute paths within workspace', async () => {
  const editor = new Editor(mockSandbox, '/workspace');
  const operation = {
    type: 'create_file',
    path: '/workspace/file.txt',
    diff: 'content'
  };
  await editor.createFile(operation);
  expect(mockSandbox.writeFile).toHaveBeenCalledWith(
    '/workspace/file.txt',  // Not /workspace/workspace/file.txt
    'content',
    { encoding: 'utf-8' }
  );
});

[claude]

Important: Missing Cloudflare deployment guidance.

Add section covering:

• Durable Objects and session persistence
• Rate limiting recommendations
• Cost considerations (container + OpenAI API)
• wrangler.jsonc configuration
• Using secrets for API keys

Example structure:

## Deploying to Production

### Cloudflare-Specific Considerations

1. **Durable Objects:** Sessions persist across requests
2. **Rate Limiting:** Use Workers rate limiting or KV
3. **Costs:** Container CPU time + OpenAI tokens + DO requests
4. **Security:** Use Cloudflare Access + audit logs in KV

### Required Configuration

Your `wrangler.jsonc`:
```jsonc
{
  "durable_objects": {
    "bindings": [
      { "name": "Sandbox", "class_name": "Sandbox" }
    ]
  }
}

For production, use secrets:

wrangler secret put OPENAI_API_KEY

[claude]

Minor: Redundant string coercion.

command, stdout, and stderr are already strings from the API contract. The String() calls are defensive but unnecessary:

this.results.push({
  command,  // Already string
  stdout,   // Already string
  stderr,   // Already string
  exitCode: collectedExitCode,
  timestamp
});

[claude]

Claude Code Review

Path traversal protection is properly fixed - excellent work on the security implementation. The stack-based normalization correctly handles all edge cases.

Three issues from previous reviews still need attention:

1. Logger component name - Still shows 'sandbox-do' on lines 38-39 of packages/sandbox/src/openai/index.ts. Should be 'openai-adapter' to accurately reflect this runs in SDK client layer, not Durable Object.

2. localStorage cleanup - The catch block in examples/openai-agents/src/app.tsx:77 still doesn't clear corrupted data. Add localStorage.removeItem(STORAGE_KEY) so the app can recover instead of failing on every reload.

3. Duplicate error utilities - isErrorWithProperties, getErrorMessage, toError are duplicated between packages/sandbox/src/openai/index.ts and examples/openai-agents/src/index.ts. Consider moving to @repo/shared for reuse.

The core implementation is solid:

• No any types (adheres to CLAUDE.md standards)
• Comprehensive security tests covering path traversal attacks
• Clean adapter pattern with proper result collection
• Good documentation with security warnings

Verdict: Fix the 3 issues above before merge. Quick fixes that improve debuggability and maintainability.

[claude]

Change component name from 'sandbox-do' to 'openai-adapter'. This code runs in the SDK client layer, not the Durable Object, so the current name makes debugging confusing.

[claude]

Add localStorage.removeItem(STORAGE_KEY); in the catch block. When JSON.parse fails, corrupted data stays in localStorage and breaks the app on every reload.

[claude]

These error handling utilities (lines 44-68) are duplicated in examples/openai-agents/src/index.ts (lines 8-31). Consider moving to @repo/shared for reuse across the monorepo.