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Architecture Principles

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

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High-Level Architecture

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Core Components

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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)

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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

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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

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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

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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 (11μs vs 59μs)
  • 96% faster queue wait times
  • Predictable latency through object reuse

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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

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Data Flow Architecture

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Request Processing Pipeline

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Memory Object Lifecycle

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Concurrency Model

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Component Interactions

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Configuration Hierarchy

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Error Propagation

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Scalability Architecture

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Horizontal Scaling

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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.