System Architecture

In-depth understanding of GPT-Load's technical architecture and design philosophy

Architecture Overview

High-Performance Transparent Proxy Architecture

High-performance OpenAI API proxy service built on Go language, supporting multi-key rotation, load balancing, and intelligent failover

API Gateway

Unified API entry point and routing

Load Balancer

Intelligent key rotation and distribution

Data Storage

MySQL + Redis dual storage

Security Monitor

Rate limiting, authentication and monitoring

System Components

Core Service Layer

API Proxy Service

  • • HTTP/HTTPS transparent proxy
  • • Request routing and forwarding
  • • Streaming response processing
  • • Error handling and retry

Load Balancer

  • • Round Robin algorithm
  • • Weight allocation strategy
  • • Health check mechanism
  • • Automatic failover

Management Service Layer

Web Management Interface

  • • Vue 3 + TypeScript
  • • Naive UI component library
  • • Real-time monitoring dashboard
  • • Configuration management interface

REST API

  • • Key management interface
  • • Statistics data interface
  • • System configuration interface
  • • Monitoring metrics interface

Data Storage Layer

MySQL Database

  • • Key and configuration persistence
  • • User authentication data
  • • Historical statistics records
  • • System log storage

Redis Cache

  • • Key status cache
  • • Rate limiting counters
  • • Distributed lock mechanism
  • • Session state management

Data Flow

1
Client Request → API gateway receives OpenAI-compatible requests
2
Key Selection → Load balancer selects available API keys
3
Request Forwarding → Proxy service forwards requests to OpenAI API
4
Response Processing → Streaming response processing and return to client
5
Data Recording → Statistics and logs recorded to database

Deployment Architectures

Standalone Deployment

Applicable Scenarios

  • • Small to medium-scale applications
  • • Development and testing environments
  • • Personal project usage

Cluster Deployment

Applicable Scenarios

  • • Large-scale production environments
  • • High availability requirements
  • • Enterprise-grade applications

Technology Stack

Backend Technologies

  • Go 1.23+
  • Gin Web Framework
  • GORM ORM
  • Go-Redis

Frontend Technologies

  • Vue 3
  • TypeScript
  • Naive UI
  • Vite

Infrastructure

  • MySQL 8.2+
  • Redis
  • Docker
  • Nginx

Design Principles

High Performance

Go language-based high-concurrency processing capability, supporting thousands of QPS request processing

High Availability

Automatic failover, health checks, and distributed deployment ensure service availability

Scalability

Modular design and microservice architecture support horizontal scaling and feature expansion

Transparent Proxy

Fully compatible with OpenAI API, no need to modify existing code for integration