> I think this is more a by product of the way these models are architected. “One more token” i usually much more likely than a “STOP”.

That’s not really how it works. An agent wouldn’t get halfway through _any_ implementation and just stop abruptly - it’s not as simple as rolling the dice until you land on “stop”.

It will stop when it believes, for whatever reason, the output has achieved whatever task was laid out. You’re welcome to refine what the definition of that task may be, or you can let it go off.