Super interesting approach. It's probably novel. I can say this because I've been working on something similar (while building a code version of http://pellmell.ai).

I'm skeptical though. In order to pick which model is on the right trajectory, you actually need intelligence. But real intelligence would make your system painfully slow and more expensive. I suspect you're using a classifier of some sort, but I also suspect what it's really measuring is confidence.

Most likely, this is a fantastic approach for the kind of problem where there's uncertainty but only one correct solution. But this is going to be really bad for cases where there are many potential solutions, some of which look good but are in fact bad. You only show one benchmark, and I'm wondering if it happens to be nicely shaped for this kind of router. Have you run it on DeepSWE?

We have run it on DeepSWE, check out our blog post for details of how we leverage the intelligence of the smart models https://usetokenless.com/blog/building-tokenless/