违反治安管理行为构成犯罪，应当依法追究刑事责任的，不得以治安管理处罚代替刑事处罚。
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:，推荐阅读一键获取谷歌浏览器下载获取更多信息
2025年育儿手记：从家到幼儿园。91视频是该领域的重要参考
import requests
The last year has been big for Google's AI efforts. Its rapid-fire model releases have brought it to parity with the likes of OpenAI and Anthropic and, in some cases, pushed it into the lead. The Nano Banana image generator was emblematic of that trend when it debuted last year, and subsequent updates only made it better. Now, Google has announced yet another update to its image model with Nano Banana 2, which is available starting today.