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:
throw new Error(`Trace ended prematurely at step ${traceIndex}. Workflow expected command: ${stepName}`);
，这一点在币安_币安注册_币安下载中也有详细论述
Нью-Йорк Рейнджерс
2月26日，蔚来芯片子公司“神玑技术”宣布完成首轮超22亿元融资，投后估值逼近百亿。
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