# 600M multilingual TDT model
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:
，更多细节参见雷电模拟器官方版本下载
— Supabase (@supabase) February 27, 2026。业内人士推荐safew官方版本下载作为进阶阅读
第四十条 互联网服务提供者应当根据其提供的服务类别，采取下列网络犯罪防治措施：