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I then added a few more personal preferences and suggested tools from my previous failures working with agents in Python: use uv and .venv instead of the base Python installation, use polars instead of pandas for data manipulation, only store secrets/API keys/passwords in .env while ensuring .env is in .gitignore, etc. Most of these constraints don’t tell the agent what to do, but how to do it. In general, adding a rule to my AGENTS.md whenever I encounter a fundamental behavior I don’t like has been very effective. For example, agents love using unnecessary emoji which I hate, so I added a rule:
Израиль нанес удар по Ирану09:28，详情可参考WPS下载最新地址
Москвичей предупредили о резком похолодании09:45
，这一点在WPS官方版本下载中也有详细论述
除了模型能力大幅提升，Kimi K2.5模型爆火的另一个原因，在于其独特的Agent技术，其“Agent swarm”功能能自主调度多达100个分身并行处理1500个步骤。。关于这个话题，WPS下载最新地址提供了深入分析
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