Cloudflare AI Gateway
A gateway for caching, routing, and observing AI requests
Cloudflare AI Gateway is profiled here as a LLM tool for engineering teams. Read about features, pricing, and how it compares to related options in the tools directory.
Description
AI Gateway is a service from Cloudflare that proxies an application's calls to AI providers through one endpoint. It adds caching, rate limiting, retries, and request logging across providers, and dynamic routing sends traffic to fallback models when a provider fails or degrades. Because it runs on Cloudflare's network, teams add a control and observability layer in front of any model API with a single integration. It sits in front of major providers including OpenAI, Anthropic, and Workers AI, and reports per-request cost, latency, and error rates in an analytics dashboard. Caching repeated responses and applying rate limits help teams hold down provider spend and guard against abuse.
Key Capabilities:
Unified endpoint proxying requests to multiple AI providers
Response caching to cut latency and provider spend
Dynamic routing with fallbacks across models
Rate limiting and request retries
Logging and analytics for cost, latency, and usage
Provider-agnostic support with a free tier on Cloudflare's network
Alternative tools
- Kong AI Gateway
AI traffic governance built on the Kong gateway
- Eden AI
One API for many AI models across providers and modalities
- Reka
Multimodal models that reason across text, image, and video
- Moonshot AI
Open-weight Kimi models tuned for agentic and coding tasks
- xAI Grok
Grok model family with real-time search through one API
- LLM Guard
Open-source security toolkit for LLM interactions