ok so i was building this campaign reporting agent that's supposed to pull data, summarize, compare periods, all the normal stuff, and i kept hitting the token limit around step three or four of the workflow, right? like the agent would start strong, grab context, make a plan, then somewhere in the middle of executing the plan it just runs out of room and either repeats itself or drops the thread entirely. and i'm sitting there thinking, ok what do i actually change here. do i truncate the memory more aggressively, which means it loses track of what it was doing. do i break the workflow into smaller agents that hand off to each other, which sounds clean in theory but then you're managing state across multiple calls and debugging that sounds painful. or do i just tell the model "be more concise" which is basically asking the ocean to be smaller. the thing is the context window isn't really the problem, it's that the agent is trying to be too smart at once, like it wants to hold the entire campaign history plus the analysis plan plus intermediate results all at the same time, and maybe that's just not how to structure it. maybe each tool should return only what's strictly needed, maybe the planning step should be more granular so it's not trying to load everything into one big reasoning loop. or maybe i'm overthinking it and should just use a cheaper model in the middle steps and reserve the expensive tokens for the actual synthesis, idk. i haven't solved it yet. some of the templates i found online just gloss over this, like "your agent will reason about which tool to call" ok great but what happens when reasoning itself costs more tokens than you budgeted, anyway.
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