GPT-Load: The Complete Guide to a Self-Hosted AI Gateway

GPT-Load is an open-source, enterprise-grade AI gateway that gives you a single, unified entry point for all your AI providers — OpenAI, Google Gemini, Anthropic Claude, and more. Built with Go for high concurrency, it transparently proxies native API formats while adding what most developers eventually need: centralized key management, load balancing, failover, and full usage tracking.

Why a Gateway Instead of Direct API Calls?

When your team grows beyond one API key, chaos follows: keys get scattered, rate limits hit at the worst moments, and nobody can answer "how much did we spend this month?". GPT-Load centralizes everything. You manage a key pool grouped by team or project, and the gateway handles rotation, blacklisting, and weighted load balancing across upstream endpoints automatically.

Core Capabilities

• Transparent proxy: Native OpenAI, Gemini, and Claude formats are preserved end-to-end — no SDK changes needed.
• Intelligent key pool: Group-based key management with automatic rotation and failure recovery.
• Smart failover: Unhealthy keys are blacklisted and recovered automatically, keeping service continuity.
• Hot-reload configuration: Change system settings or groups without restarting the gateway.
• Enterprise architecture: Distributed leader-follower deployment for horizontal scaling and high availability.
• Modern dashboard: A Vue 3 management UI for real-time stats, health checks, and detailed request logs.

Dual Authentication

Management and proxy access are authenticated separately. The proxy side supports both global and group-level keys, so you can give each internal service its own credential while keeping a master key for admin operations. Combined with the granular group model, this makes GPT-Load a natural fit for platform teams exposing AI to multiple products.

High-Performance by Design

GPT-Load uses zero-copy streaming, connection pool reuse, and atomic operations to keep overhead minimal under load. With graceful shutdown and error recovery built in, it is production-ready out of the box. The 6.3K-star community, MIT license, and active maintenance make it a safe foundation for your AI infrastructure.