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AI Red vs Blue Arena

System Design

System Design

Detailed design decisions and architectural patterns used in the AI Arena.

Design Principles

Modularity

The system is built with clear separation of concerns:

  • Backend: API and business logic
  • Frontend: UI and visualization
  • Database: Data persistence
  • Integrations: External services

Extensibility

The architecture supports easy extension:

  • New LLM Providers: Add via provider abstraction
  • New Tools: Extend Cline tool executor
  • New Integrations: Add via integration layer

Security

Security is built into every layer:

  • Sandboxing: All tool execution is sandboxed
  • Permissions: Fine-grained access control
  • Validation: Input validation at all layers
  • Audit Logging: Complete audit trail

Component Design

Agent Executor

Design Pattern: Provider Pattern

  • Abstract LLM provider interface
  • Concrete implementations for each provider
  • Automatic fallback chain
  • Caching for performance

Match Runner

Design Pattern: State Machine

  • Clear state transitions
  • Event-driven architecture
  • Subscriber pattern for real-time updates
  • Error recovery mechanisms

Database Layer

Design Pattern: Repository Pattern

  • Abstract database interface
  • SQL-like API over JSON storage
  • Easy migration to SQL databases
  • Type-safe models

Data Flow Patterns

Request-Response

Standard REST API pattern:

  • Client → API → Database → Response

Event Streaming

Real-time updates:

  • Match Runner → WebSocket → Clients

Pub-Sub

Event broadcasting:

  • Match Runner → Subscribers → WebSocket/Internal

Error Handling

Graceful Degradation

  • Model fallback on rate limits
  • Mock provider when no API keys
  • Error recovery in match execution

Error Types

  • Validation Errors: 400 Bad Request
  • Not Found: 404 Not Found
  • Conflict: 409 Conflict
  • Server Errors: 500 Internal Server Error

Performance Considerations

Caching

  • LLM provider instances cached
  • Model fallback chains cached
  • Database queries optimized

Async Operations

  • All I/O operations are async
  • Non-blocking match execution
  • Concurrent match support

Security Architecture

Sandboxing

  • Tool execution in isolated environment
  • Network restrictions
  • File system limitations

Permission System

  • Fine-grained permissions
  • Tool-level access control
  • Agent-level restrictions

Audit Logging

  • All tool executions logged
  • Match events tracked
  • Error events captured

Scalability

Horizontal Scaling

  • Stateless API design
  • File-based database (can migrate to SQL)
  • WebSocket connection management

Vertical Scaling

  • Efficient resource usage
  • Caching strategies
  • Async operations

Next Steps