The automatically configured p2p setup is the smart bit. Most self-hosted inference solutions require you to manually manage which node is running which model, handle routing yourself, and accept that you’ll join machines every time something needs to be updated. Automating mesh configuration and exposing a standard OpenAI-compliant endpoint means your existing agent tooling simply works without a custom client.

Where it gets tricky is reliability under real agent workflows. Excess capacity is honest framing, but excess capacity is also the most unstable type. Retry behavior is important when an agent makes a mid-task follow-up call and a node crashes or a worker leaves the mesh. Handling partial failures gracefully without surfacing the errors of whoever is using the API is a rare coordination problem, especially when the mesh extends beyond a few trusted machines.