Announcing AI Gateway: making AI applications more observable, reliable, and scalable

This post introduces AI Gateway, a new product that acts as a portal for making AI applications more observable, reliable, and scalable. It sits between applications and AI APIs (like OpenAI), offering features such as response caching, request limiting and retries, and analytics for monitoring usage. It supports dedicated endpoints for providers like OpenAI, Hugging Face, and Replicate, as well as a universal endpoint for more flexibility with fallback models and retries. AI Gateway provides analytics on request count, users, cost, and duration, and aggregates data across multiple providers. It also offers caching and rate limiting to control costs and scale applications sustainably. AI Gateway is designed to integrate with Workers AI and Vectorize, forming a comprehensive Workers platform for AI applications. Future plans include usage alerts, jailbreak protection, dynamic model routing with A/B testing, and advanced cache rules. An enterprise use case is also described, where AI Gateway can monitor and observe AI usage within organizations, log requests, apply access policies, and implement data loss prevention (DLP) strategies.