This article was originally published on AI Study Room . For the full version with working code examples and related articles, visit the original post. AI Gateway: API Routing, Rate Limiting, Fallback Models, Cost Management, and Logging As your AI application grows, you will use multiple models from multiple providers. Managing API keys, rate limits, costs, and failover across providers becomes a nightmare without a gateway. Here is how to build an AI gateway that centralizes LLM API management. Why You Need an AI Gateway Direct LLM API integration works for prototypes but fails in production. Each provider has different authentication, rate limits, error formats, and pricing. Your code becomes a mess of conditional logic for handling different providers. An AI gateway sits between your application and LLM providers. It routes requests to the right model, handles authentication, enforces rate limits, and provides consistent error handling.…