elitan teaches Mike to run its AI on your own hardware
A fourth model option lets the fork answer without ever calling a cloud provider.
elitan wired in Ollama, a tool for running AI models locally on your own machine, as a fourth engine alongside the cloud heavyweights the fork already speaks to (Anthropic's Claude, Google's Gemini, and OpenAI). It ships switched off by default; an operator turns it on with a single configuration flag, after which the local models show up in the picker.
The interface side is just as plain. When a local engine is available, the models page grows a one-click button to swap whatever cloud model you're on for a local equivalent. Nothing about the existing cloud paths changes - this is a bolt-on alternative, not a rewrite. The set of local models on offer is deliberately small, so any team adopting it would pick its own.
Spotted something wrong? Or know the PR text has fresher detail than the writeup above?