[fuzzzerd]

> This looping is a sort of "context-rot" -- the agent has the problem statement as part of it's input, and then a series of incorrect solutions.

While I agree, and also use your work around, I think it stands to reason this shouldn't be a problem. The context had the original problem statement along with several examples of what not to do and yet it keeps repeating those very things instead of coming up with a different solution. No human would keep trying one of the solutions included in the context that are marked as not valid.

[traceroute66]

> No human would keep trying one of the solutions included in the context that are marked as not valid.

Exactly. And certainly not a genius human with the memory of an elephant and a PhD in Physics .... which is what we're constantly told LLMs are. ;-)

[Workaccount2]

I'm sure somewhere in the current labs there are teams that are trying to figure out context pruning and compression.

In theory you should be able to get a multiplicative effect on context window size by consolidating context into it's most distilled form.

30,000 tokens of wheel spinning to get the model back on track consolidated to 500 tokens of "We tried A, and it didn't work because XYZ, so avoid A" and kept in recent context

[gavinray]

  > No human would keep trying one of the solutions included in the context that are marked as not valid.

Yeah, definitely not. Thankfully for my employment status, we're not at "human" levels QUITE yet

[vidarh]

I agree it shouldn't be a problem, but if you don't regularly run into humans who insist on trying solutions clearly signposted as wrong or not valid, you're far luckier than I am.