The AI engineering stack we built internally — on the platform we ship

What this post added

This post details the internal development and deployment of an AI engineering stack at Cloudflare, leveraging existing Cloudflare products such as Cloudflare Access, AI Gateway, and Workers AI. It highlights the architecture for authentication, routing, and inference, including the use of a proxy Worker for centralized control and the integration of open-source models on Workers AI for cost and latency benefits. It also introduces the MCP Server Portal for unified OAuth access and the Agents SDK for stateful agent sessions, showcasing how internal AI adoption drives product development and adoption.