Merge branch 'main' of https://github.com/thunderbolt-fire/hello-agents

Extra-Chapter/Extra04-DatawhaleFAQ.md

@@ -211,11 +211,12 @@
 
 - 要点整理：
   - 课程项目模型API支持：
-    - (硅基流动Inference API)[https://modelscope.cn/models]；
-    - (Deepseek API)[https://platform.deepseek.com/usage];
-    - (OpenAI API)[https://platform.openai.com/docs/quickstart];
-  - 配置流程，获取API_KEY、MODEL_ID、BASE_URL设置于环境变量`env.`文件中。
-  - modelscope社区的模型api获取方法
+    - [硅基流动Inference API](https://modelscope.cn/models)；
+    - [Deepseek API](https://platform.deepseek.com/usage);
+    - [OpenAI API](https://platform.openai.com/docs/quickstart);
+    - 其他 ...
+  - 配置流程，获取API_KEY、MODEL_ID、BASE_URL设置于环境变量`.env`文件中。
+  - modelscope社区的模型api获取方法 https://www.modelscope.cn/models/Qwen/Qwen3-VL-8B-Instruct
     - 点击模型库，找到支持API-Inference的模型，点击进入模型详情页面，找到API-Inference
     - ![alt text](./images/Extra04-figures/3f1b68eedc9d9e556fbb51358bf49f9d.png)
     - ![alt text](./images/Extra04-figures/e7dd177f-4867-4af0-bd0e-03771a3a040e.png)

README.md

@@ -118,9 +118,8 @@
   现在，准备好进入智能体的奇妙世界了吗？让我们即刻启程！
 
 ## 下一步规划
-- []英文版教程
-- []双语视频课程[英文+中文]（将会更加细致，实践课带领大家从设计思路到实施，授人以鱼也授人以渔）
-- []共创第16章（打造各类Agent应用,更打造Agent生态）
+
+双语视频课程[英文+中文]（将会更加细致，实践课带领大家从设计思路到实施，授人以鱼也授人以渔）
   
 ## 🤝 如何贡献
 
@@ -159,7 +158,7 @@
 ## Star History
 
 <div align='center'>
-    <img src="./docs/images/star-history-20251212.png" alt="Datawhale" width="90%">
+    <img src="./docs/images/star-history-20251217.png" alt="Datawhale" width="90%">
 </div>
 
 <div align="center">

README_EN.md

@@ -154,7 +154,7 @@ We are an open-source community and welcome any form of contribution!
 ## Star History
 
 <div align='center'>
-    <img src="./docs/images/star-history-20251212.png" alt="Datawhale" width="90%">
+    <img src="./docs/images/star-history-20251217.png" alt="Datawhale" width="90%">
 </div>
 
 <div align="center">

code/chapter13/helloagents-trip-planner/backend/requirements.txt

@@ -26,4 +26,4 @@ uv>=0.8.0
 
 # 其他工具
 python-dateutil>=2.8.2
-
+huggingface_hub>=0.25.0

docs/README.md

@@ -151,7 +151,7 @@
 ## Star History
 
 <div align='center'>
-    <img src="./images/star-history-20251212.png" alt="Datawhale" width="90%">
+    <img src="./images/star-history-20251217.png" alt="Datawhale" width="90%">
 </div>
 
 <div align="center">

docs/README_EN.md

@@ -146,7 +146,7 @@ We are an open-source community and welcome any form of contribution!
 ## Star History
 
 <div align='center'>
-    <img src="./images/star-history-20251212.png" alt="Datawhale" width="90%">
+    <img src="./images/star-history-20251217.png" alt="Datawhale" width="90%">
 </div>
 
 <div align="center">

docs/chapter5/Chapter5-Building-Agents-with-Low-Code-Platforms.md

@@ -39,7 +39,7 @@ Currently, the low-code platform market for agents and LLM applications presents
 
 - **Core Positioning**: n8n is essentially an open-source workflow automation tool<sup>[3]</sup>, not a pure LLM platform. In recent years, it has actively integrated AI capabilities.
 
-- **Feature Analysis**: n8n's strength lies in "connection." It has hundreds of preset nodes that can easily connect various SaaS services, databases, and APIs into complex automated business processes. You can embed LLM nodes in this process, making it part of the entire automation chain. Although it is not as specialized in LLM functionality as the first three, its general automation capability is unique. However, its learning curve is also relatively steep.
+- **Feature Analysis**: n8n's strength lies in "connection." It has hundreds of preset nodes that can easily connect various SaaS services, databases, and APIs into complex automated business processes. You can embed LLM nodes in this process, making it part of the entire automation chain. Although it is not as specialized in LLM functionality as the first two, its general automation capability is unique. However, its learning curve is also relatively steep.
 
 - **Target Audience**: Developers and enterprises that need to deeply integrate AI capabilities into existing business processes and achieve highly customized automation.
 

docs/chapter5/第五章 基于低代码平台的智能体搭建.md

@@ -39,7 +39,7 @@
 
 - <strong>核心定位</strong>：n8n 本质上是一个开源工作流自动化工具<sup>[3]</sup>，而非纯粹的 LLM 平台。近年来，它积极集成了 AI 能力。
 
-- <strong>特点分析</strong>：n8n 的强项在于“连接”。它拥有数百个预置的节点，可以轻松地将各类 SaaS 服务、数据库、API 连接成复杂的自动化业务流程。你可以在这个流程中嵌入 LLM 节点，使其成为整个自动化链路中的一环。虽然在 LLM 功能的专一度上不如前三者，但其通用自动化能力是独一无二的。不过，其学习曲线也相对陡峭。
+- <strong>特点分析</strong>：n8n 的强项在于“连接”。它拥有数百个预置的节点，可以轻松地将各类 SaaS 服务、数据库、API 连接成复杂的自动化业务流程。你可以在这个流程中嵌入 LLM 节点，使其成为整个自动化链路中的一环。虽然在 LLM 功能的专一度上不如前两者，但其通用自动化能力是独一无二的。不过，其学习曲线也相对陡峭。
 
 - <strong>适用人群</strong>：需要将 AI 能力深度整合进现有业务流程、实现高度定制化自动化的开发者和企业。