84 lines
2.0 KiB
Markdown
84 lines
2.0 KiB
Markdown
# LangChain Learning
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[](https://github.com/your-repo/langchain-learning)
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[](https://www.python.org/)
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[](https://www.langchain.com/)
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> LangChain 框架学习项目，集成 SiliconFlow API
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## 功能特性
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- **多 LLM 集成**：支持 OpenAI API、SiliconFlow 及 LangChain 抽象层
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- **流式响应**：实时流式输出，带来更好的使用体验
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- **实战示例**：从基础到进阶的使用模式
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## 快速开始
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### 1. 安装依赖
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```bash
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pip install langchain>=1.2.15 langchain-community>=0.4.1 langchain-siliconflow>=1.0.0 requests>=2.33.1
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```
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### 2. 配置环境变量
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在项目根目录创建 `.env` 文件：
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```env
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SILICONFLOW_API_KEY=your_api_key_here
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SILICONFLOW_BASE_URL=https://api.siliconflow.cn/v1
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```
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### 3. 运行示例
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**直接调用 API（requests）**
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```bash
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python helloworld/helloworld.py
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```
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**LangChain + ChatOpenAI 接口**
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```bash
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python helloworld/helloworld_langchain_openai.py
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```
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**LangChain + ChatSiliconFlow**
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```bash
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python helloworld/helloworld_siliconflow.py
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```
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**OpenAI 客户端 + SiliconFlow**
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```bash
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python helloworld/openai_siliconflow.py
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```
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## 项目结构
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```
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langchain-learning/
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├── helloworld/
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│ ├── helloworld.py # 直接调用 SiliconFlow API
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│ ├── helloworld_langchain_openai.py # LangChain + ChatOpenAI
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│ ├── helloworld_siliconflow.py # LangChain + ChatSiliconFlow
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│ └── openai_siliconflow.py # OpenAI 客户端 + SiliconFlow
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├── main.py # 入口文件
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├── pyproject.toml # 项目配置
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└── README.md
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```
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## 可用模型
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- `deepseek-ai/DeepSeek-R1-0528-Qwen3-8B`
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- `Qwen/Qwen3.5-4B`
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## 技术栈
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| 类别 | 技术 |
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| 框架 | LangChain |
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| LLM 提供商 | SiliconFlow |
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| 语言 | Python 3.11+ |
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## 许可证
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MIT License
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