How to Build a Node.js Proxy to Unify OpenAI, Claude, and Gemini APIs

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A software architect has outlined a design pattern for routing multiple AI provider APIs — OpenAI, Claude, and Gemini — through a single Node.js backend proxy using app-level model aliases. The approach centralizes credential management, retry logic, token limits, and cost checks on the server, preventing the frontend from ever handling API keys or vendor-specific details. Clients request a logical capability such as 'fast' or 'reasoning' rather than a specific model identifier, with the proxy resolving aliases only from models confirmed as available at runtime. The architecture allows switching AI providers by changing a backend policy rather than updating client code, making it suitable for products requiring portability across multiple providers. A comparison of direct SDK integration, OpenAI-compatible unified runtimes, and plain REST API services is also provided to help teams choose the right approach based on their product requirements.

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