大模型LLM 应用+AI Agents框架，为我们提供了非常便利的自动化执行任务的能力。微信公众号(订阅号)则是非常适合落地各种AI Agents的场景，我们可以利用微信公众号提供的文本、图像、语音的输入，在自己服务器上部署一套API框架，把自己感兴趣的一些对话、图文、语音等能力的API封装为Agents。这里给大家介绍一个拆箱即用的微信公众号服务端框架 Flask+tencent代码库来实现，并且会利用一个简单的金融智能助理(Finance Agent)的例子来实现一个根据用户输入来查询实时股价，并且返回给微信公众号用户的功能，支持更加复杂定制的AI Agents业务逻辑。

In this blog, we will give you a brief introduction of how to contribute to the "tencent" python package third party APIs and help developers integrate future tencent product and services API easier, such as backend for "Wechat public account Automatic Reply". The guidelines are also listed and any violation of the guidelines will not be accepted in the MR request of Github.

In this blog, we will show you how simple it is to write a python spider to crawl realtime stock quotes from Hong Kong Stock Market (HKEX) official website. We will use the common python lib "requests" and "BeautifulSoup". And the complete code is also attached to this blog. We use Tencent(stock code: 700) as an example to show you how to to download the realtime stock price quote from HKEX's official website