​
Architecture Principles

PrincipleImplementationBenefit
πŸ”„ Asynchronous ProcessingChannel-based worker pools per providerHigh concurrency, no blocking operations
πŸ’Ύ Memory Pool ManagementObject pooling for channels, messages, responsesMinimal GC pressure, sustained throughput
πŸ—οΈ Provider IsolationIndependent resources and workers per providerFault tolerance, no cascade failures
πŸ”Œ Plugin-First DesignMiddleware pipeline without core modificationsExtensible business logic injection
⚑ Connection OptimizationHTTP/2, keep-alive, intelligent poolingReduced latency, optimal resource utilization
πŸ“Š Built-in ObservabilityNative Prometheus metricsZero-dependency monitoring

​
πŸ—οΈ High-Level Architecture

​
βš™οΈ Core Components

​
1. Transport Layer

Purpose: Multiple interface options for different integration patterns
TransportUse CasePerformanceIntegration Effort
HTTP TransportMicroservices, web apps, language-agnosticHighMinimal (REST API)
Go SDKGo applications, maximum performanceMaximumLow (Go package)
gRPC TransportService mesh, type-safe APIsHighMedium (protobuf)
Key Features:
  • OpenAPI Compatible - Drop-in replacement for OpenAI/Anthropic APIs
  • Unified Interface - Consistent API across all providers
  • Content Negotiation - JSON, protobuf (planned)

​
2. Request Router & Load Balancer

Purpose: Intelligent request distribution and provider selection Capabilities:
  • Provider Selection - Based on model availability and configuration
  • Load Balancing - Weighted API key distribution
  • Fallback Chains - Automatic provider switching on failures
  • Circuit Breaker - Provider health monitoring and isolation

​
3. Plugin Pipeline

Purpose: Extensible middleware for custom business logic Plugin Types:
  • Authentication - API key validation, JWT verification
  • Rate Limiting - Per-user, per-provider limits
  • Monitoring - Request/response logging, metrics collection
  • Transformation - Request/response modification
  • Caching - Response caching strategies

​
4. MCP Manager

Purpose: Model Context Protocol integration for external tools Architecture: Key Features:
  • Dynamic Discovery - Runtime tool discovery and registration
  • Multiple Protocols - STDIO, HTTP, SSE support
  • Tool Filtering - Request-level tool inclusion/exclusion
  • Async Execution - Non-blocking tool invocation

​
5. Memory Management System

Purpose: High-performance object pooling to minimize garbage collection 
// Simplified memory pool architecture
type MemoryManager struct {
    channelPool  sync.Pool  // Reusable communication channels
    messagePool  sync.Pool  // Request/response message objects
    responsePool sync.Pool  // Final response objects
    bufferPool   sync.Pool  // Byte buffers for network I/O
}
Performance Impact:
  • 81% reduction in processing overhead (11ΞΌs vs 59ΞΌs)
  • 96% faster queue wait times
  • Predictable latency through object reuse

​
6. Worker Pool Manager

Purpose: Provider-isolated concurrency with configurable resource limits Isolation Benefits:
  • Fault Tolerance - Provider failures don’t affect others
  • Resource Control - Independent rate limiting per provider
  • Performance Tuning - Provider-specific optimization
  • Scaling - Independent scaling per provider load

​
πŸ”„ Data Flow Architecture

​
Request Processing Pipeline

​
Memory Object Lifecycle

​
Concurrency Model

​
πŸ“Š Component Interactions

​
Configuration Hierarchy

​
Error Propagation

​
πŸš€ Scalability Architecture

​
Horizontal Scaling

​
Vertical Scaling

ComponentScaling StrategyConfiguration
Memory PoolsIncrease pool sizesinitial_pool_size: 25000
Worker PoolsMore concurrent workersconcurrency: 50
Buffer SizesLarger request queuesbuffer_size: 500
Connection PoolsMore HTTP connectionsProvider-specific settings
Next Step: Understand how requests flow through the system in Request Flow.