One proxy for every inference provider
Cloudflare has moved AI Gateway out of beta and into general availability, giving production teams a single proxy layer for managing generative AI workloads regardless of which inference provider or model they call. Since its September 2023 beta launch, the service has proxied more than 500 million requests.
AI Gateway sits between your application and your inference provider — Cloudflare's Workers AI, OpenAI, Anthropic, or any other supported vendor — and exposes a consistent interface for observability, reliability, and control. The company frames it as a control plane for AI operations, and the core value proposition is simple: swap the base URL in your existing SDK call and unlock the platform features without rewriting application logic.
Cloudflare's rationale for entering this space is straightforward. Most AI providers are focused on model development, not on the operational tooling that production applications need. Cloudflare, by contrast, has spent a decade building a global network that already acts as a reverse proxy for a large share of the web. Extending that infrastructure to AI inference providers is a natural fit — the same network edge that handles caching, rate limiting, and security for websites can apply those mechanisms to AI API traffic.
What ships in the GA release
The generally available version of AI Gateway emphasizes foundational operations features. Cloudflare says more advanced capabilities are on the roadmap, but the current release covers the essentials:
Analytics. Aggregate metrics across multiple providers gives you a view of request volume, token usage, and cost over time, consolidating data that would otherwise live in separate provider dashboards.
Real-time logs. Request and error logging appears as traffic flows, so you can debug issues during development rather than waiting for post-hoc analysis.
Caching. You can define custom caching rules that serve repeat requests from Cloudflare's cache, avoiding the cost and latency of hitting the original model provider API for identical queries.
Rate limiting. Set request caps to control how your application scales, which helps with cost management and abuse prevention.
Provider coverage. Beyond Workers AI, the gateway natively supports ten popular providers, including Groq and Cohere, which were added in mid-May 2024.
Universal endpoint with fallbacks. You can define request fallbacks to another model or provider, so errors on the primary endpoint trigger a failover rather than a failed request.
The longer-term vision
Cloudflare has a clear roadmap for AI Gateway beyond the GA features. Persistent logs and custom metadata are cited as obvious near-term additions, but the longer-term vision connects AI Gateway to the rest of Cloudflare's AI platform in a more integrated workflow.
The aspirational use case looks like this: you start with Workers AI for inference on open-source models, then enable AI Gateway for visibility and control, and begin storing persistent logs. From there, you use those logs with prompt management and built-in evaluation functionality to make data-driven improvements to your inference results. A feedback API lets you annotate inputs and outputs, building a structured dataset. That dataset feeds into one-click fine-tuning, which deploys instantly to Cloudflare's global network — and the loop continues as new logs and feedback enable continuous rebuilds of fine-tuned adapters.
That end-to-end flow is presented as a vision rather than a shipped product, but it signals how Cloudflare intends AI Gateway to function: as an entry point into a larger AI operations platform.
Getting started
AI Gateway is available now on all plans. The core GA features are free — you need only a Cloudflare account and a one-line change to your existing SDK configuration. Cloudflare notes that premium features such as persistent logging and secrets management will eventually carry fees. Documentation and provider-specific integration guides are available in the Cloudflare developer docs.
