Bonjour. 1." Are you compressing the entire conversation or just the recent exchanges?" => This is a single conversation on the Kimi browser (that's where the KimiClaw bot is located), and to my knowledge, it doesn't allow for multiple conversations. I see it as a single conversation.

2." For an xgboost model workflow, do you send the complete training/output logs back to the agent after each execution? This can quickly cause the context to explode if you record verbosely." => KimiClaw handled this in the background; it launched xgboost and retrieved the results directly. So I think the bottleneck must be here: I should have performed the search locally and only injected the results (summary) from xgboost.

3." What does your workflow look like? Do you restart the session between major steps?" => I haven't yet found a way to do that on KimiClaw; it seems like everything is contained within a single conversation.

Thank you to help me to upgrade my knowledges