v0.0.1

- helloworld

.env

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+# Qwen/Qwen3.5-4B
+# deepseek-ai/DeepSeek-R1-0528-Qwen3-8B
+SILICONFLOW_API_KEY = "sk-sylilrjrtxlvecwhfusjkutclmppzuzhncfcfxtekxrzyjee"
+SILICONFLOW_BASE_URL = "https://api.siliconflow.cn/v1"

.python-version

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+3.11

README.md

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+# LangChain Learning
+
+[![](https://img.shields.io/badge/version-0.0.1-blue.svg)](https://github.com/your-repo/langchain-learning)
+[![](https://img.shields.io/badge/python-3.11+-green.svg)](https://www.python.org/)
+[![](https://img.shields.io/badge/LangChain-v1.2-orange.svg)](https://www.langchain.com/)
+
+> LangChain 框架学习项目，集成 SiliconFlow API
+
+## 功能特性
+
+- **多 LLM 集成**：支持 OpenAI API、SiliconFlow 及 LangChain 抽象层
+- **流式响应**：实时流式输出，带来更好的使用体验
+- **实战示例**：从基础到进阶的使用模式
+
+## 快速开始
+
+### 1. 安装依赖
+
+```bash
+pip install langchain>=1.2.15 langchain-community>=0.4.1 langchain-siliconflow>=1.0.0 requests>=2.33.1
+```
+
+### 2. 配置环境变量
+
+在项目根目录创建 `.env` 文件：
+
+```env
+SILICONFLOW_API_KEY=your_api_key_here
+SILICONFLOW_BASE_URL=https://api.siliconflow.cn/v1
+```
+
+### 3. 运行示例
+
+**直接调用 API（requests）**
+```bash
+python helloworld/helloworld.py
+```
+
+**LangChain + ChatOpenAI 接口**
+```bash
+python helloworld/helloworld_langchain_openai.py
+```
+
+**LangChain + ChatSiliconFlow**
+```bash
+python helloworld/helloworld_siliconflow.py
+```
+
+**OpenAI 客户端 + SiliconFlow**
+```bash
+python helloworld/openai_siliconflow.py
+```
+
+## 项目结构
+
+```
+langchain-learning/
+├── helloworld/
+│   ├── helloworld.py                  # 直接调用 SiliconFlow API
+│   ├── helloworld_langchain_openai.py # LangChain + ChatOpenAI
+│   ├── helloworld_siliconflow.py      # LangChain + ChatSiliconFlow
+│   └── openai_siliconflow.py          # OpenAI 客户端 + SiliconFlow
+├── main.py                            # 入口文件
+├── pyproject.toml                     # 项目配置
+└── README.md
+```
+
+## 可用模型
+
+- `deepseek-ai/DeepSeek-R1-0528-Qwen3-8B`
+- `Qwen/Qwen3.5-4B`
+
+## 技术栈
+
+| 类别 | 技术 |
+|------|------|
+| 框架 | LangChain |
+| LLM 提供商 | SiliconFlow |
+| 语言 | Python 3.11+ |
+
+## 许可证
+
+MIT License

helloworld/helloworld.py

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+import requests
+
+url = "https://api.siliconflow.cn/v1/chat/completions"
+
+payload = {
+    "model": "Qwen/Qwen3.5-4B",
+    "messages": [
+        {
+            "role": "user",
+            "content": "你是谁"
+        }
+    ]
+}
+headers = {
+    "Authorization": "Bearer sk-sylilrjrtxlvecwhfusjkutclmppzuzhncfcfxtekxrzyjee", #填写自己的api-key
+    "Content-Type": "application/json"
+}
+
+response = requests.post(url, json=payload, headers=headers)
+
+print(response.json())

helloworld/helloworld_langchain_openai.py

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+import logging
+
+from langchain_openai import ChatOpenAI
+import os
+import dotenv
+
+logging.basicConfig(
+    level=logging.DEBUG,
+    format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
+)
+
+dotenv.load_dotenv()
+
+## 设置环境变量
+os.environ['OPENAI_API_KEY'] = os.getenv("SILICONFLOW_API_KEY")
+os.environ['OPENAI_BASE_URL'] = os.getenv("SILICONFLOW_BASE_URL")
+
+# 默认的 'model_name': 'deepseek-ai/DeepSeek-V3.1',
+llm = ChatOpenAI(model="deepseek-ai/DeepSeek-R1-0528-Qwen3-8B")
+response = llm.invoke("一句话介绍一下你自己，50字以内")
+print(response)

helloworld/helloworld_siliconflow.py

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+import logging
+
+from langchain_siliconflow import ChatSiliconFlow
+import os
+import dotenv
+
+
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
+)
+
+dotenv.load_dotenv()
+
+## 设置环境变量
+os.environ['SILICONFLOW_API_KEY'] = os.getenv("SILICONFLOW_API_KEY")
+os.environ['SILICONFLOW_BASE_URL'] = os.getenv("SILICONFLOW_BASE_URL")
+
+# 默认的 'model_name': 'deepseek-ai/DeepSeek-V3.1',
+llm = ChatSiliconFlow(model="deepseek-ai/DeepSeek-R1-0528-Qwen3-8B")
+for chunk in llm.stream("一句话介绍一下你自己，50字以内"):
+    print(chunk.text, end="", flush=True)
+
+
+
+# response = llm.invoke("一句话介绍一下你自己，50字以内")
+# print(response)

helloworld/openai_siliconflow.py

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+from openai import OpenAI
+
+import os
+import dotenv
+
+dotenv.load_dotenv()
+
+## 设置环境变量
+os.environ['OPENAI_API_KEY'] = os.getenv("SILICONFLOW_API_KEY")
+os.environ['OPENAI_BASE_URL'] = os.getenv("SILICONFLOW_BASE_URL")
+client = OpenAI()
+response = client.chat.completions.create(
+    # model='Pro/deepseek-ai/DeepSeek-R1',
+    model="deepseek-ai/DeepSeek-R1-0528-Qwen3-8B",
+    messages=[
+        {'role': 'user', 
+        'content': "推理模型会给市场带来哪些新的机会"}
+    ],
+    stream=True
+)
+
+for chunk in response:
+    if not chunk.choices:
+        continue
+    if chunk.choices[0].delta.content:
+        print(chunk.choices[0].delta.content, end="", flush=True)
+    if chunk.choices[0].delta.reasoning_content:
+        print(chunk.choices[0].delta.reasoning_content, end="", flush=True)

main.py

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+def main():
+    print("Hello from langchain-learning!")
+
+
+if __name__ == "__main__":
+    main()

pyproject.toml

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+[project]
+name = "langchain-learning"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.11"
+dependencies = [
+    "langchain>=1.2.15",
+    "langchain-community>=0.4.1",
+    "langchain-siliconflow>=1.0.0",
+    "requests>=2.33.1",
+]