Safety Testing Sandbox
Test AI agents safely in isolated environments before production deployment
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0 / 5 completedBuilding Your Safety Sandbox
A proper safety sandbox requires isolation, monitoring, and control mechanisms. The goal is to create an environment where agents can operate with realistic constraints but can't affect production systems. This means mock services, test databases, network isolation, and comprehensive logging of all agent actions.
Interactive: Sandbox Configuration Builder
Configure your sandbox environment by enabling components and setting isolation levels:
Mock API Endpoints
Simulated external services
Test Database
Isolated data storage
Network Isolation
No production network access
Comprehensive Logging
Track all agent actions
Permission Boundaries
Restricted capabilities
Track agent actions in real-time
Ability to undo agent actions
Essential Sandbox Components:
- •Mock APIs: Simulate external services (databases, APIs, file systems) without real connections
- •Network Isolation: Prevent agents from accessing production networks or unauthorized endpoints
- •Permission Boundaries: Restrict what actions agents can take (e.g., no file deletion, no financial transactions)
- •Comprehensive Logging: Record every action, decision, and API call for post-test analysis
Use Docker containers to create isolated sandbox environments. Each test run gets a fresh container with mock services, test data, and network isolation. After testing, destroy the container—no cleanup needed. Tools like Docker Compose make it easy to spin up complete test environments.