chore(deps): update requirements.txt to match runtime environment
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Annyfee
@@ -30,24 +30,24 @@
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> 💡 每个模块对应独立目录（含代码、说明与示例），可独立运行与学习。
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> 🔥 已更新至 09 LangGraph 进阶篇，持续更新中！
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| 章节 | 模块 | 博客 | 核心关键词 | 难度 |
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|:-----------:|:--------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------:|:-------------------------------------------------------------|:-----:|
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| 🏗️ **基础篇** | [01 Agent 入门 & 环境搭建](https://github.com/Annyfee/agent-craft/tree/main/01_agent_introduction) | [🏠](https://blog.csdn.net/2401_87328929/article/details/153729555) | OpenAI API | ⭐ |
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| | [02 LLM 基础调用](https://github.com/Annyfee/agent-craft/tree/main/02_llm_fundamentals) | [🏠](https://blog.csdn.net/2401_87328929/article/details/153735431) | LLM API 调用 · prompt · 上下文记忆 | ⭐ |
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| | [03 Function Calling 与工具调用](https://github.com/Annyfee/agent-craft/tree/main/03_function_calling_tools) | [🏠](https://blog.csdn.net/2401_87328929/article/details/153866573) | Function Call · 工具函数封装 | ⭐⭐ |
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| ⚙️ **框架篇** | [04 LangChain 基础篇](https://github.com/Annyfee/agent-craft/tree/main/04_langchain_basics) | [🏠](https://blog.csdn.net/2401_87328929/article/details/153978186) | LLM · Prompt · Chain · Memory | ⭐⭐ |
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| | [05 LangChain 进阶篇](https://github.com/Annyfee/agent-craft/tree/main/05_langchain_advanced) | [🏠](https://blog.csdn.net/2401_87328929/article/details/154064397) | Agents · 缓存 · 流式输出 | ⭐⭐⭐ |
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| | [06 RAG 基础篇](https://github.com/Annyfee/agent-craft/tree/main/06_rag_basics) | [🏠](https://blog.csdn.net/2401_87328929/article/details/154230067) | RAG概念 · Split · Embedding · FAISS · RAG 链 | ⭐⭐ |
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| | [07 RAG 进阶篇](https://github.com/Annyfee/agent-craft/tree/main/07_rag_advanced) | [🏠](https://blog.csdn.net/2401_87328929/article/details/154408744) | Chroma · Reranker · RAG工具化 · 集成 | ⭐⭐⭐ |
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| | [08 LangGraph 基础篇](https://github.com/Annyfee/agent-craft/tree/main/08_langgraph_basics) | [🏠](https://blog.csdn.net/2401_87328929/article/details/154576812) | Langgraph三要素 · LangSmith · ReAct · 提示词安全注入 | ⭐⭐⭐ |
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| | [09 LangGraph 进阶篇]() | [🏠]() | Human-in-the-Loop · Graph-as-a-Tool · Multi-Agent 多智能体编排 | ⭐⭐⭐⭐ |
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| 🧠 **智能篇** | 10 MCP 基础 (Client) | 🚧撰写中 | `MCP` 协议 · `CherryStudio` · 消费公共 MCP | ⭐⭐⭐ |
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| | 11 MCP 进阶 (Server) | 🚧 | `Streamable HTTP` · `src layout` · 构建私有 MCP | ⭐⭐⭐⭐ |
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| | 12 Swarm & Agents SDK | 🚧 | `Swarm` · `Handoff` · “航空公司客服”项目 | ⭐⭐⭐⭐ |
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| 🏁 **实战篇** | 13 Streamlit 快速入门 | 🚧 | `st.chat_input` · `st.session_state` · 封装 RAG Agent | ⭐⭐⭐ |
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| | 14 综合实战项目 | 🚧 | LangGraph + RAG + MCP + Streamlit + Vercel | ⭐⭐⭐⭐⭐ |
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| 🚀 **工程篇** | 15 部署与本地化 | 🚧 | `Ollama` · `LM Studio` · `LangServe` | ⭐⭐⭐ |
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| | **16 项目打包与发布** | 🚧 | `pyproject.toml` · `pip build` · `setuptools` · 发布 | ⭐⭐⭐⭐ |
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| 章节 | 模块 | 博客 | 核心关键词 | 难度 |
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|:-----------:|:--------------------------------------------------------------------------------------------------------|:-------------------------------------------------------------------:|:---------------------------------------------------------|:-----:|
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| 🏗️ **基础篇** | [01 Agent 入门 & 环境搭建](https://github.com/Annyfee/agent-craft/tree/main/01_agent_introduction) | [🏠](https://blog.csdn.net/2401_87328929/article/details/153729555) | OpenAI API | ⭐ |
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| | [02 LLM 基础调用](https://github.com/Annyfee/agent-craft/tree/main/02_llm_fundamentals) | [🏠](https://blog.csdn.net/2401_87328929/article/details/153735431) | LLM API 调用 · prompt · 上下文记忆 | ⭐ |
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| | [03 Function Calling 与工具调用](https://github.com/Annyfee/agent-craft/tree/main/03_function_calling_tools) | [🏠](https://blog.csdn.net/2401_87328929/article/details/153866573) | Function Call · 工具函数封装 | ⭐⭐ |
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| ⚙️ **框架篇** | [04 LangChain 基础篇](https://github.com/Annyfee/agent-craft/tree/main/04_langchain_basics) | [🏠](https://blog.csdn.net/2401_87328929/article/details/153978186) | LLM · Prompt · Chain · Memory | ⭐⭐ |
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| | [05 LangChain 进阶篇](https://github.com/Annyfee/agent-craft/tree/main/05_langchain_advanced) | [🏠](https://blog.csdn.net/2401_87328929/article/details/154064397) | Agents · 缓存 · 流式输出 | ⭐⭐⭐ |
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| | [06 RAG 基础篇](https://github.com/Annyfee/agent-craft/tree/main/06_rag_basics) | [🏠](https://blog.csdn.net/2401_87328929/article/details/154230067) | RAG概念 · Split · Embedding · FAISS · RAG 链 | ⭐⭐ |
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| | [07 RAG 进阶篇](https://github.com/Annyfee/agent-craft/tree/main/07_rag_advanced) | [🏠](https://blog.csdn.net/2401_87328929/article/details/154408744) | Chroma · Reranker · RAG工具化 · 集成 | ⭐⭐⭐ |
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| | [08 LangGraph 基础篇](https://github.com/Annyfee/agent-craft/tree/main/08_langgraph_basics) | [🏠](https://blog.csdn.net/2401_87328929/article/details/154576812) | Langgraph三要素 · LangSmith · ReAct · 提示词安全注入 | ⭐⭐⭐ |
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| | [09 LangGraph 进阶篇](https://github.com/Annyfee/agent-craft/tree/main/09_langgraph_advanced) | [🏠](https://blog.csdn.net/2401_87328929/article/details/154803618) | Human-in-the-Loop · Graph-as-a-Tool · Multi-Agent 多智能体编排 | ⭐⭐⭐⭐ |
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| 🧠 **智能篇** | 10 MCP 基础 (Client) | 🚧撰写中 | `MCP` 协议 · `CherryStudio` · 消费公共 MCP | ⭐⭐⭐ |
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| | 11 MCP 进阶 (Server) | 🚧 | `Streamable HTTP` · `src layout` · 构建私有 MCP | ⭐⭐⭐⭐ |
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| | 12 Swarm & Agents SDK | 🚧 | `Swarm` · `Handoff` · “航空公司客服”项目 | ⭐⭐⭐⭐ |
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| 🏁 **实战篇** | 13 Streamlit 快速入门 | 🚧 | `st.chat_input` · `st.session_state` · 封装 RAG Agent | ⭐⭐⭐ |
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| | 14 综合实战项目 | 🚧 | LangGraph + RAG + MCP + Streamlit + Vercel | ⭐⭐⭐⭐⭐ |
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| 🚀 **工程篇** | 15 部署与本地化 | 🚧 | `Ollama` · `LM Studio` · `LangServe` | ⭐⭐⭐ |
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| | **16 项目打包与发布** | 🚧 | `pyproject.toml` · `pip build` · `setuptools` · 发布 | ⭐⭐⭐⭐ |
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---
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+1
-1
@@ -11,4 +11,4 @@ langgraph==1.0.3
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langsmith==0.4.43
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openai==2.8.0
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python-dotenv==1.2.1
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Requests==2.32.5
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Requests==2.32.5
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