[FRAMEWORK] Agent Sandbox Environment

[djdarcy]

Objective

Design and implement secure sandbox environments for agent execution.

Requirements

Isolation Levels

1. Process Isolation

   • Separate process space
   • Resource limits (CPU, memory, disk)
   • Network restrictions

2. Container Isolation

   • Docker/OCI containers
   • Custom security profiles
   • Volume mounting controls

3. VM Isolation

   • Full virtualization for high-risk agents
   • Snapshot/restore capabilities
   • Complete network isolation

Security Features

• File system restrictions
• Network access control
• System call filtering
• Resource quotas
• Time limits
• Output sanitization

Implementation Options

1. Linux: cgroups, namespaces, seccomp
2. Docker: Security profiles, resource limits
3. WebAssembly: WASI for portable sandboxing
4. Cloud: Lambda/Functions for isolation

API Design

class Sandbox:
    def __init__(self, config: SandboxConfig):
        pass
    
    def execute(self, agent: TodoAIAgent, task: Task) -> TaskResult:
        """Execute agent in sandbox with resource limits"""
        pass
    
    def set_limits(self, limits: ResourceLimits):
        """Configure resource constraints"""
        pass

Deliverables

1. Sandbox interface specification
2. Multiple implementation options
3. Security test suite
4. Performance benchmarks
5. Configuration guides

Related to: Core Agent Base Class, Security Model