System Overview

Architecture Principles

Principle	Implementation	Benefit
Asynchronous Processing	Channel-based worker pools per provider	High concurrency, no blocking operations
Memory Pool Management	Object pooling for channels, messages, responses	Minimal GC pressure, sustained throughput
Provider Isolation	Independent resources and workers per provider	Fault tolerance, no cascade failures
Plugin-First Design	Middleware pipeline without core modifications	Extensible business logic injection
Connection Optimization	HTTP/2, keep-alive, intelligent pooling	Reduced latency, optimal resource utilization
Built-in Observability	Native Prometheus metrics	Zero-dependency monitoring

High-Level Architecture

Core Components

1. Transport Layer

Purpose: Multiple interface options for different integration patterns

Transport	Use Case	Performance	Integration Effort
HTTP Transport	Microservices, web apps, language-agnostic	High	Minimal (REST API)
Go SDK	Go applications, maximum performance	Maximum	Low (Go package)
gRPC Transport	Service mesh, type-safe APIs	High	Medium (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 (11μs vs 59μs)
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

Data Flow Architecture

Request Processing Pipeline

Memory Object Lifecycle

Concurrency Model

Component Interactions

Configuration Hierarchy

Error Propagation

Scalability Architecture

Horizontal Scaling

Vertical Scaling

Component	Scaling Strategy	Configuration
Memory Pools	Increase pool sizes	`initial_pool_size: 25000`
Worker Pools	More concurrent workers	`concurrency: 50`
Buffer Sizes	Larger request queues	`buffer_size: 500`
Connection Pools	More HTTP connections	Provider-specific settings

Next Step: Understand how requests flow through the system in Request Flow.

Introduction

Prompt Engineering

Offline Evals

Online Evals

Tracing

Simulations

Library

Dashboards

Integrations

Settings

CI/CD

Architecture Principles

High-Level Architecture

Core Components

1. Transport Layer

2. Request Router & Load Balancer

3. Plugin Pipeline

4. MCP Manager

5. Memory Management System

6. Worker Pool Manager

Data Flow Architecture

Request Processing Pipeline

Memory Object Lifecycle

Concurrency Model

Component Interactions

Configuration Hierarchy

Error Propagation

Scalability Architecture

Horizontal Scaling

Vertical Scaling

​Architecture Principles

​High-Level Architecture

​Core Components

​1. Transport Layer

​2. Request Router & Load Balancer

​3. Plugin Pipeline

​4. MCP Manager

​5. Memory Management System

​6. Worker Pool Manager

​Data Flow Architecture

​Request Processing Pipeline

​Memory Object Lifecycle

​Concurrency Model

​Component Interactions

​Configuration Hierarchy

​Error Propagation

​Scalability Architecture

​Horizontal Scaling

​Vertical Scaling

Architecture Principles

High-Level Architecture

Core Components

1. Transport Layer

2. Request Router & Load Balancer

3. Plugin Pipeline

4. MCP Manager

5. Memory Management System

6. Worker Pool Manager

Data Flow Architecture

Request Processing Pipeline

Memory Object Lifecycle

Concurrency Model

Component Interactions

Configuration Hierarchy

Error Propagation

Scalability Architecture

Horizontal Scaling

Vertical Scaling