AI Gateway and Workers AI first started as distinct products, but over time, we noticed our users were converging. With AI Gateway, you can proxy requests to any model provider and get built-in observability, logging, access, and security. On Workers AI, we host models on the GPU infrastructure that we manage, exposing an API endpoint you can leverage to access inference-as-a-service. The architecture of these products looks different, but to an end user, it achieves the same goal: connecting you to models with a sophisticated control plane. Today, we're excited to share our plans on how these products converge into one unified path, so you can connect to any model provider (including Workers AI), while managing things like observability, billing, security, and logging from a single control plane.It’s the next step toward some big plans we have — read on to learn what a unified control plane means for the future of model routing.Merging the binding and APIWe've been hinting at the fact that these products are becoming more unified through our entrypoints: the Workers binding and the REST API. We have an AI binding that you can use to call AI Gateway and Workers AI. There's no concept of a separate AI Gateway and Workers AI binding: it all goes through the same path. We shipped the idea of a “default” gateway a few months ago, so that if you have never set up an AI Gateway before, you could still automatically inherit the AI Gateway observability and logging. Of course, you can still specify your own gateway if you'd like to split up applications into multiple projects.Here's what the binding call looks like, if you are calling Workers AI via AI Gateway:export default {