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:
模型选择：在模型列表中，你可以看到 Ling-1T（通用语言模型）和我们今天的主角 Ring-2.5-1T（思考模型）。
。业内人士推荐im钱包官方下载作为进阶阅读
第 2 周：上线 Dify 最小工作流，单模块试点，推荐阅读谷歌浏览器【最新下载地址】获取更多信息
Раскрыты подробности похищения ребенка в Смоленске09:27，更多细节参见Line官方版本下载