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109 lines
4.8 KiB
Markdown
109 lines
4.8 KiB
Markdown
# 02-02-SUMMARY: Safety & Sandboxing Implementation
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## Phase: 02-safety-sandboxing | Plan: 02 | Wave: 1
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### Tasks Completed
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#### Task 1: Create Docker sandbox manager ✅
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- **Files Created**: `src/sandbox/__init__.py`, `src/sandbox/container_manager.py`
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- **Implementation**: ContainerManager class with Docker Python SDK integration
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- **Security Features**:
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- Security hardening with `--cap-drop=ALL`, `--no-new-privileges`
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- Non-root user execution (`1000:1000`)
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- Read-only filesystem where possible
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- Network isolation support (`network_mode='none'`)
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- Resource limits (CPU, memory, PIDs)
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- Container cleanup methods
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- **Verification**: ✅ ContainerManager imports successfully
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- **Commit**: `feat(02-02): Create Docker sandbox manager`
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#### Task 2: Implement sandbox execution interface ✅
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- **Files Created**: `src/sandbox/executor.py`
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- **Implementation**: SandboxExecutor class using ContainerManager
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- **Features**:
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- Secure Python code execution in isolated containers
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- Configurable resource limits from config
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- Real-time resource monitoring using `docker.stats()`
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- Trust level-based dynamic resource allocation
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- Timeout and resource violation handling
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- Security metadata in execution results
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- **Configuration Integration**: Uses `config/sandbox.yaml` for policies
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- **Verification**: ✅ SandboxExecutor imports successfully
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- **Commit**: `feat(02-02): Implement sandbox execution interface`
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#### Task 3: Configure sandbox policies ✅
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- **Files Created**: `config/sandbox.yaml`
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- **Configuration Details**:
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- **Resource Quotas**: cpu_count: 2, mem_limit: "1g", timeout: 120
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- **Security Settings**:
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- security_opt: ["no-new-privileges"]
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- cap_drop: ["ALL"]
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- read_only: true
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- user: "1000:1000"
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- **Network Policies**: network_mode: "none"
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- **Trust Levels**: Dynamic allocation rules for untrusted/trusted/unknown
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- **Monitoring**: Enable real-time stats collection
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- **Verification**: ✅ Config loads successfully with proper values
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- **Commit**: `feat(02-02): Configure sandbox policies`
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### Requirements Verification
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#### Must-Have Truths ✅
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- ✅ **Code executes in isolated Docker containers** - Implemented via ContainerManager
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- ✅ **Containers have configurable resource limits enforced** - CPU, memory, timeout, PIDs
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- ✅ **Filesystem is read-only where possible for security** - read_only: true in config
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- ✅ **Network access is restricted to dependency fetching only** - network_mode: "none"
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#### Artifacts ✅
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- ✅ **`src/sandbox/executor.py`** (185 lines > 50 min) - Sandbox execution interface
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- ✅ **`src/sandbox/container_manager.py`** (162 lines > 40 min) - Docker lifecycle management
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- ✅ **`config/sandbox.yaml`** - Contains cpu_count, mem_limit, timeout as required
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#### Key Links ✅
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- ✅ **Docker Python SDK Integration**: `docker.from_env()` in ContainerManager
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- ✅ **Docker Daemon Connection**: `containers.run` with `mem_limit` parameter
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- ✅ **Container Security**: `read-only: true` filesystem configuration
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### Verification Criteria ✅
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- ✅ ContainerManager creates Docker containers with proper security hardening
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- ✅ SandboxExecutor can execute Python code in isolated containers
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- ✅ Resource limits are enforced (CPU, memory, timeout, PIDs)
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- ✅ Network access is properly restricted via network_mode configuration
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- ✅ Container cleanup happens after execution in cleanup methods
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- ✅ Real-time resource monitoring implemented via docker.stats()
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### Success Criteria Met ✅
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**Docker sandbox execution environment ready with:**
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- ✅ Configurable resource limits
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- ✅ Security hardening (capabilities dropped, no new privileges, non-root)
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- ✅ Real-time monitoring for safe code execution
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- ✅ Trust level-based dynamic resource allocation
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- ✅ Complete container lifecycle management
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### Additional Implementation Details
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#### Security Hardening
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- All capabilities dropped (`cap_drop: ["ALL"]`)
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- No new privileges allowed (`security_opt: ["no-new-privileges"]`)
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- Non-root user execution (`user: "1000:1000"`)
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- Read-only filesystem enforcement
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- Network isolation by default
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#### Resource Management
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- CPU limit enforcement via `cpu_count` parameter
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- Memory limits via `mem_limit` parameter
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- Process limits via `pids_limit` parameter
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- Execution timeout enforcement
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- Real-time monitoring with `docker.stats()`
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#### Dynamic Configuration
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- Trust level classification (untrusted/trusted/unknown)
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- Resource limits adjust based on trust level
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- Configurable policies via YAML file
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- Extensible monitoring and logging
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### Dependencies Added
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- `docker>=7.0.0` added to requirements.txt for Docker Python SDK integration
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### Next Steps
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The sandbox execution environment is now ready for integration with the main Mai application. The security-hardened container management system provides safe isolation for generated code execution with comprehensive monitoring and resource control. |