GPT-Load Project Introduction

A high-performance, enterprise-grade AI interface transparent proxy service, specifically designed for enterprises and developers who need to integrate multiple AI services. Built with Go language, featuring intelligent key management, load balancing, and comprehensive monitoring capabilities, designed for high-concurrency production environments.

Core Concept

Transparent Proxy

GPT-Load serves as a transparent proxy service, completely preserving the native API formats of various AI service providers without any format conversion or unification. How users request GPT-Load is exactly how GPT-Load requests upstream services, achieving completely transparent proxy functionality.

Supported AI Services

OpenAI

  • • Official OpenAI API
  • • Azure OpenAI
  • • All third-party services compatible with OpenAI format

Google Gemini

  • • Gemini Pro
  • • Gemini Pro Vision
  • • Support for multimodal features

Anthropic Claude

  • • Claude series models
  • • High-quality conversation generation
  • • Native API format support

Core Features

High-Performance Architecture

Zero-copy streaming transmission, Go goroutine-based concurrency model, supporting high-concurrency connections

Intelligent Key Management

Group management, dynamic rotation, automatic retry, ensuring high service availability

Load Balancing

Multi-upstream support, weight configuration, health checks, intelligent routing to available nodes

Cluster Support

Master/Slave architecture, stateless design, supporting horizontal scaling

Hot Reload Configuration

Three-tier configuration system: environment variables, system settings, group configuration, supporting hot updates

Admin Panel

Vue 3 modern interface, real-time monitoring, log viewing, configuration management

Technology Stack

Backend Technologies

  • • Go 1.23+ - Primary programming language
  • • Gin - HTTP Web framework
  • • GORM - ORM database operation framework
  • • MySQL 8.2+ - Primary database storage
  • • Redis - Distributed cache and state management
  • • Uber Dig - Dependency injection container

Frontend & DevOps

  • • Vue 3 - Frontend framework
  • • TypeScript - Type safety
  • • Naive UI - UI component library
  • • Docker - Containerized deployment
  • • Docker Compose - Container orchestration
  • • GitHub Actions - CI/CD pipeline

Architecture Advantages

Microservices Architecture

  • • Modular design
  • • Dependency injection
  • • Interface-driven

Distributed Design

  • • Master/Slave mode
  • • Distributed locks
  • • Cache synchronization

High Availability

  • • Graceful degradation
  • • Fault recovery
  • • Resource protection

Use Cases

Enterprise AI Services

  • • Large-scale API calls
  • • Cost control optimization
  • • Service stability assurance

Developer Tools

  • • Unified API access
  • • Debugging and monitoring
  • • Rapid deployment

Multi-tenant Services

  • • Tenant isolation
  • • Configuration customization
  • • Usage statistics

Deep Dive into GPT-Load

Explore GPT-Load's core technical architecture and high-performance design philosophy, learn how to achieve ultimate proxy performance

Performance Details

Understanding ultimate performance design

Zero I/O operation proxy mechanism
Zero-copy streaming transmission technology
Lock-free concurrent processing architecture
Ultra-low resource usage optimization

Architecture Design

Deep dive into system design philosophy

Intelligent key management mechanism
Path processing strategy design
Distributed cluster architecture
High availability guarantee mechanism

Getting Started with GPT-Load

Deploy quickly with Docker Compose, start a complete AI interface proxy service in just a few minutes

View Deployment Guide