Yeah this is my experience with logs data. You only actually care about O(10) lines per query, usually related by some correlation ID. Or, instead of searching you're summarizing by counting things. In that case, actually counting is important ;).
In this piece though--and maybe I need to read it again--I was under the impression that the LLM's "interface" to the logs data is queries against clickhouse. So long as the queries return sensibly limited results, and it doesn't go wild with the queries, that could address both concerns?
What does O(10) mean?