About

AI Proxy is a high-performance AI gateway designed for enterprise-grade applications, providing a unified access layer for various AI services. It natively supports mainstream large language model protocols including OpenAI, Claude, and Gemini, enabling seamless integration with multiple AI backends. With core capabilities such as intelligent error handling, multi-channel management, and multi-tenant isolation, AI Proxy helps development teams reduce integration complexity while improving system stability and resource utilization. It is an ideal choice for building reliable AI application infrastructure.

Key Features

Multi-Protocol Compatibility: Native support for OpenAI, Claude, Gemini, and other mainstream AI model protocols, allowing quick integration without additional adaptation.

Intelligent Error Handling: Automatically detects and handles common issues such as timeouts, rate limits, and model unavailability, with support for retry and fallback strategies.

Multi-Channel Management: Configure multiple API keys and backend channels to enable traffic distribution and load balancing.

Real-Time Monitoring: Provides dashboards for key metrics including request volume, latency, and error rates to facilitate operations and tuning.

Multi-Model Support: Manage multiple model versions under a single gateway, enabling flexible switching and canary releases.

Rate Limiting and Multi-Tenant Isolation: Set independent quotas per user, application, or team to ensure fair resource usage and secure isolation.

Pricing & Fees

Pricing: Not publicly listed on the pages we reviewed; check the official site for current plans.
Open source: AI Proxy is an open-source project licensed under MIT, so the software itself carries no license fee.
Self-hosted: Deployment and infrastructure costs are your own responsibility; you pay upstream providers (e.g., OpenAI, Claude, Gemini) for model usage routed through the gateway.
Compatibility: Works with standard OpenAI/Claude/Gemini protocol endpoints, so migration only requires changing the API endpoint without modifying business code.

Who It's For

AI Proxy is built for AI application developers who need to quickly integrate multiple large models and centrally manage API calls and costs; operations and platform engineers responsible for building and maintaining enterprise AI infrastructure who prioritize high availability and observability; product and technology leaders looking to reduce AI service integration complexity while improving team development efficiency and system stability; and SaaS providers who need to deliver isolated AI capabilities to different customers with granular billing and rate limiting.

About

Key Features

Pricing & Fees

Who It's For

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