Edge inference needs clear runtime boundaries

Cloud-hosted AI runtimes are exposing more inference capabilities at the network edge, while keeping model and data boundaries explicit.

Edge inference can reduce round-trip latency and keep application control closer to the user. It does not remove the need to describe where model execution happens or which data leaves the request boundary.

For agent systems, those runtime details are part of the capability contract. A useful machine-readable surface should expose them instead of hiding them behind a generic completion endpoint.

Source: Cloudflare — https://developers.cloudflare.com/workers-ai/