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[Feature] support Claude-Compatible Sandbox Interface #50

@JacksonMei

Description

@JacksonMei

Checklist

  • This feature will maintain backward compatibility with the current sdk.

Background

Feature Request: Claude-Compatible Sandbox Environment

We need to implement a sandbox execution environment that complies with the Claude Agent SDK's sandbox provider interface standards. This will enable secure, isolated code execution for AI agents similar to Modal's Sandbox API.

Use Case: Support Claude AI agents in executing arbitrary code safely within containerized environments, providing:

  • Secure isolated execution environments
  • File system access control
  • Network isolation
  • Resource limits (CPU, memory, timeout)
  • Standard I/O capture

Reference:

Potential Solution

Implement a sandbox provider interface that includes:

Core Components:

  1. Sandbox Creation API

    • Create ephemeral containers with specified runtime environments
    • Support multiple language runtimes (Python, Node.js, etc.)
    • Configure resource limits and timeouts
  2. Code Execution Interface

    class SandboxProvider:
        async def create_sandbox(self, image: str, **kwargs) -> Sandbox
        async def execute(self, code: str, timeout: int) -> ExecutionResult
        async def cleanup(self) -> None
  3. File System Operations

    • Upload files to sandbox
    • Download results from sandbox
    • Read/write operations within isolated filesystem
  4. Process Management

    • Execute commands with stdin/stdout/stderr capture
    • Support for long-running processes
    • Graceful termination and cleanup

Implementation Approach:

  • Leverage existing Kubernetes infrastructure in AEnvironment
  • Use container orchestration for sandbox lifecycle management
  • Implement gRPC/REST API endpoints matching Claude's sandbox interface
  • Add security policies: network isolation, resource quotas, execution timeouts
  • Provide standard base images with common dependencies pre-installed

Similar Features in Other Frameworks:

  • Modal Sandboxes: Ephemeral containers with timeout-based lifecycle
  • E2B Code Interpreter: Isolated Python execution environments
  • Kubernetes Jobs: Similar isolation but heavier weight
  • Docker-in-Docker: Container-based isolation with nested containers

Additional Information

Requirements:

  • Maintain backward compatibility with existing AEnvironment SDK
  • Support multiple concurrent sandbox sessions
  • Implement proper resource cleanup to prevent leaks
  • Add monitoring and logging for sandbox operations
  • Provide clear error handling and timeout mechanisms

Technical Considerations:

  • Integration with existing controller and API service architecture
  • Security: Container escape prevention, privilege restrictions
  • Performance: Fast container startup times (<2s ideal)
  • Cost: Efficient resource utilization and auto-scaling

References:

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