可以直接传 cloudflare r2 ，不收流量费还是挺爽的

什么同步性能瓶颈？ Django 慢也是相对慢，把 flask 或者 fastapi 功能上满，也不会比 Django 快多少。CPython 性能就在这儿摆着。谁说能比肩 golang 那都是营销手段，吹牛逼的。

哈哈哈哈，我直接把 Gemini 接入各种平台的机器人了，不写前端。

所以为啥不直接用个人的微信公众号，除了不能在群里直接艾特使用之外，好像也没有少别的功能，而且更稳定，无需扫码登录或者担心微信给你干掉了。

@zhusimaji #9 似乎并没有暴露。不过 cn 域名倒确实是裸奔了，我觉得只有在大陆备案的域名适合用 cn ，毕竟备案信息也是要公开的。

Domain Name: deeplearn.me
Registry Domain ID: dd438dace64c4b719953642b4c348117-DONUTS
Registrar WHOIS Server:
Registrar URL: http://www.net.cn
Updated Date: 2024-01-28T02:24:05Z
Creation Date: 2016-03-23T11:05:36Z
Registry Expiry Date: 2025-03-23T11:05:36Z
Registrar: Alibaba Cloud Computing (Beijing) Co., Ltd.
Registrar IANA ID: 420
Registrar Abuse Contact Email: [email protected]
Registrar Abuse Contact Phone: +86.95187
Domain Status: ok https://icann.org/epp#ok
Registry Registrant ID: REDACTED FOR PRIVACY
Registrant Name: REDACTED FOR PRIVACY
Registrant Organization: Cui Jian
Registrant Street: REDACTED FOR PRIVACY
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Registrant State/Province: Si Chuan
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Registrant Country: CN
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Name Server: dns31.hichina.com
Name Server: dns32.hichina.com
Name Server: vip1.alidns.com
Name Server: vip2.alidns.com
DNSSEC: unsigned
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奇怪的强迫症。模型字段不仔细思考就改，是你这个问题的根源。

中国大陆法院是认可开源协议的。有很多个过往案例。怎么处理的我还真忘了，赔款？勒令整改？

Gemini Pro 确实可以的，我为了方便用它，写了三个 BOT ，分别可以在 QQ 群、微信公众号和 Telegram 上用。开哪个方便就直接开了。

@mooyo 哈哈哈，这么厉害的吗？幸好我的博客是放 GitHub 上的，DDOS 也随便。

@wisetc 谢谢

我之前也被这么坑了。后来我就换了 buttercup

@maimi #4 我没接入天气接口啊……你为啥会觉得能查天气

@zhuangjia #1 五秒返回在目前的各家 AI 大模型里都是做不到的。我用了技巧来解决这个问题。你试试就知道了，一般来说要花六到七秒以上才会回复你。

@HanSonJ #2 免费额度就那么点，并不打算充钱做这种东西，所以也无所谓有多少人玩。这是为了提供一个方便的方式去使用 Gemini pro vision 模型，用户主要还是我自己。只是分享出来给那些也想这么用的人，让他们自己部署或者体验体验我的。

evian 真的难喝啊，我喝过一次之后，这玩意我表示倒贴给我钱，我都得考虑一下喝不喝。

@CzaOrz #3 一个小建议，用 h11 去处理 http 协议，这玩意有很多边缘情况，靠你一个人穷举是不现实的。

像 Starlette 、baize ，这种都只有很少的参数和模块。flask 、django 它们参数和模块多，主要原因就是它们是社区维护，喜欢加一些极少用到、而且很容易让用户自己实现的功能，我严重怀疑是有些人为了刷 PR 。

确实有自己的风格，不过我挺好奇的，下面这么写不是更 pythonic ，心智负担更小吗？用一个 ctx 进行 write 和 set_status 感觉比较难定位最终到底用的是哪个 response 。

def home():
return "<html></html>"

def api(p: Annotated[str, Query(...)]) -> Annotated[Any, JSONResponse[200, {}, ResponseModel]]:
return {"key": "value"}