真好

@565656 冷知识，还有时区。

这种问题天天有，挺好回答的

codex 会按照你本地代码风格的。

其实这种简单的爬取，直接把目标网页和接口扔给 agent 就行了，直接产出。

正常人现阶段都不会用 openclaw 办公。别在这拉踩。

恭喜恭喜

@SilentOrFight 我在百炼上用的，深度思考模式。

刚试了 qwen3.6-plus ，回答还是错的。

At just 50 meters (about 164 feet), you should definitely walk. Here's why:

⏱️ Faster overall: Starting the car, backing out, driving 50m, finding a spot, and parking will almost certainly take longer than a 30–40 second walk. ⛽ Saves fuel & reduces wear: Short trips like this are highly inefficient for combustion engines. They don't reach optimal operating temperature, which increases fuel consumption, oil dilution, and long-term wear. (Even in an EV, it's unnecessary energy use.) 🌍 Zero emissions: Walking for 50 meters has no carbon footprint. 💡 Practical tip: Unless you're carrying heavy equipment, have mobility limitations, or it's actively pouring rain, walking is the smarter choice.

Grab your supplies, enjoy the short stroll, and save your car the pointless start-stop cycle. Your wallet, engine, and the environment will thank you. 🚶‍♂️🚗💨

只有讨论 AI 才有流量啊。

AI 确实强。

但我觉得得有一个敬畏之心。期待还有后续

生日快乐

“ 现在很多 AI Agent 的“线上排障”方案，本质上还是把数据库只读账号、日志系统、Tracing 、Redis 这些工具接口一股脑暴露给模型，然后期待它自己查明白。”

看样子类似做了 skill （编写了排查步骤/经验）。

其实数据、系统封闭倒成问题，日志告警在一个平台、线上数据库本地没有权限直连（线上查询又是另一个平台）。

1 、逻辑怎么跑的得知道，要不然容易脱离把控。

2 、没必要看每个方法的内容，让 AI 封装好（ AI 擅长、且能足够放心），只看方法名就行。

报价还有时效呢。好多是 7 天内

@xuejianxianzun 但是别人不一定会遇到你同样的问题。如果早点看到，就可以避免了。

咱公司叫啥名啊 [dog