I’ve been using both families of models inside pi/piclaw (https://rcarmo.github.io/projects/piclaw/) and I assure you they work _better_ in that environment than in the originals. The models are not trained to the harnesses, the harnesses provide cues that the models follow.
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You can see the approach in his post: https://howaboua.dev/writing/how-i-gave-pi-17-tools-without-...
The result: 38% fewer startup tokens, 17 tools exposed through just three schemas, and 19 skills loaded only when needed.
The changing header is really distracting when trying to read your blog. Then it followed me when I scrolled and I just gave up.
Not my blog :)
It's pretty much what I do as well, piclaw has had selective tool activation since... March, I think.