fix url

docs/chapter4/Chapter4-Building-Classic-Agent-Paradigms.md

@@ -32,7 +32,7 @@ To make our code more universal, we will uniformly configure model service-relat
 
 1. In your project root directory, create a file named `.env`.
 2. In this file, add the following content. You can point it to OpenAI's official service or any local/third-party service compatible with the OpenAI interface according to your needs.
-3. If you really don't know how to obtain it, you can refer to Section [1.2 API Setup](https://datawhalechina.github.io/handy-multi-agent/#/chapter1/1.2.api-setup) in another Datawhale tutorial.
+3. If you really don't know how to obtain it, you can refer to Section [1.2 API 设置](https://datawhalechina.github.io/handy-multi-agent/#/./chapter1/1-Basic-Configuration?id=_12-api-settings) in another Datawhale tutorial.
 
 ```bash
 # .env file

docs/chapter4/第四章 智能体经典范式构建.md

@@ -32,7 +32,7 @@ pip install openai python-dotenv
 
 1. 在你的项目根目录下，创建一个名为 `.env` 的文件。
 2. 在该文件中，添加以下内容。你可以根据自己的需要，将其指向 OpenAI 官方服务，或任何兼容 OpenAI 接口的本地/第三方服务。
-3. 如果实在不知道如何获取，可以参考Datawhale另一本教程的[1.2 API设置](https://datawhalechina.github.io/handy-multi-agent/#/chapter1/1.2.api-setup)
+3. 如果实在不知道如何获取，可以参考Datawhale另一本教程的[1.2 API 设置](https://datawhalechina.github.io/handy-multi-agent/#/./chapter1/1-Basic-Configuration?id=_12-api-settings)
 
 ```bash
 # .env file