feat: 添加项目详情 Markdown 渲染支持及项目添加脚本
- 新增 MarkdownContent 组件支持 Markdown 渲染 - 新增 scripts 目录下的项目添加工具脚本 - 更新项目详情页面支持 Markdown 内容显示 - 更新依赖包支持 Markdown 解析 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Claude
@@ -0,0 +1,181 @@
|
||||
const http = require('http');
|
||||
|
||||
const markdownContent = `# AutoGen
|
||||
|
||||
## 🎯 项目简介
|
||||
|
||||
**AutoGen** 是一个由微软开发的**多智能体 AI 应用程序框架**，可以创建能够自主工作或与人类协作的智能体。
|
||||
|
||||
### ✨ 核心特性
|
||||
|
||||
- **核心 API**：实现消息传递、事件驱动智能体以及本地和分布式运行时
|
||||
- **AgentChat API**：提供更简单但更具主见的 API，用于快速原型设计
|
||||
- **扩展 API**：支持 LLM 客户端的特定实现（如 OpenAI、Azure OpenAI）
|
||||
- **AutoGen Studio**：用于构建多智能体应用程序的无代码 GUI
|
||||
- **AutoGen Bench**：用于评估智能体性能的基准测试套件
|
||||
|
||||
## 📦 安装方式
|
||||
|
||||
\`\`\`bash
|
||||
# 使用 pip 安装
|
||||
pip install -U "autogen-agentchat" "autogen-ext[openai]"
|
||||
|
||||
# 安装 AutoGen Studio
|
||||
pip install -U "autogenstudio"
|
||||
\`\`\`
|
||||
|
||||
> 💡 **提示**：AutoGen 需要 **Python 3.10 或更高版本**
|
||||
|
||||
## 🚀 快速开始
|
||||
|
||||
### Hello World 示例
|
||||
|
||||
\`\`\`python
|
||||
import asyncio
|
||||
from autogen_agentchat.agents import AssistantAgent
|
||||
from autogen_ext.models.openai import OpenAIChatCompletionClient
|
||||
|
||||
async def main() -> None:
|
||||
model_client = OpenAIChatCompletionClient(model="gpt-4o")
|
||||
agent = AssistantAgent("assistant", model_client=model_client)
|
||||
print(await agent.run(task="Say 'Hello World!'"))
|
||||
await model_client.close()
|
||||
|
||||
asyncio.run(main())
|
||||
\`\`\`
|
||||
|
||||
## 📊 功能对比
|
||||
|
||||
| 特性 | AutoGen | LangChain | CrewAI |
|
||||
|------|---------|-----------|--------|
|
||||
| 多智能体协作 | ✅ | ✅ | ✅ |
|
||||
| 无代码 GUI | ✅ | ❌ | ❌ |
|
||||
| 分布式运行时 | ✅ | ❌ | ❌ |
|
||||
| .NET 支持 | ✅ | ❌ | ❌ |
|
||||
| 基准测试套件 | ✅ | ❌ | ❌ |
|
||||
|
||||
## 🔧 高级用法
|
||||
|
||||
### 多智能体编排
|
||||
|
||||
使用 \`AgentTool\` 创建基本的多智能体编排设置：
|
||||
|
||||
\`\`\`python
|
||||
import asyncio
|
||||
from autogen_agentchat.agents import AssistantAgent
|
||||
from autogen_agentchat.tools import AgentTool
|
||||
from autogen_ext.models.openai import OpenAIChatCompletionClient
|
||||
|
||||
async def main() -> None:
|
||||
model_client = OpenAIChatCompletionClient(model="gpt-4o")
|
||||
|
||||
# 创建数学专家智能体
|
||||
math_agent = AssistantAgent(
|
||||
"math_expert",
|
||||
model_client=model_client,
|
||||
system_message="You are a math expert.",
|
||||
description="A math expert assistant.",
|
||||
)
|
||||
|
||||
# 创建化学专家智能体
|
||||
chemistry_agent = AssistantAgent(
|
||||
"chemistry_expert",
|
||||
model_client=model_client,
|
||||
system_message="You are a chemistry expert.",
|
||||
description="A chemistry expert assistant.",
|
||||
)
|
||||
|
||||
print("智能体创建成功！")
|
||||
\`\`\`
|
||||
|
||||
## 📚 任务清单
|
||||
|
||||
- [x] 安装 AutoGen
|
||||
- [ ] 创建第一个智能体
|
||||
- [ ] 配置 OpenAI API
|
||||
- [ ] 运行多智能体对话
|
||||
- [ ] 部署到生产环境
|
||||
|
||||
## 🎓 学习资源
|
||||
|
||||
1. [官方文档](https://microsoft.github.io/autogen/)
|
||||
2. [GitHub 仓库](https://github.com/microsoft/autogen)
|
||||
3. [API 参考](https://microsoft.github.io/autogen/docs/reference)
|
||||
4. [示例代码](https://github.com/microsoft/autogen/tree/main/samples)
|
||||
|
||||
## 💬 常见问题
|
||||
|
||||
### Q: AutoGen 是免费的吗？
|
||||
|
||||
**A**: 是的！AutoGen 使用 MIT 许可证，完全开源免费。
|
||||
|
||||
### Q: 支持哪些 LLM 提供商？
|
||||
|
||||
**A**: AutoGen 支持 OpenAI、Azure OpenAI，以及通过扩展 API 支持其他提供商。
|
||||
|
||||
---
|
||||
|
||||
## 📄 许可证
|
||||
|
||||
MIT License - 详见 [LICENSE](https://github.com/microsoft/autogen/blob/main/LICENSE) 文件
|
||||
|
||||
**Made with ❤️ by Microsoft**
|
||||
`;
|
||||
|
||||
const data = JSON.stringify({
|
||||
apiKey: 'sk_live_agent_park_webhook_key_2025',
|
||||
projects: [{
|
||||
name: 'AutoGen',
|
||||
nameEn: 'AutoGen',
|
||||
description: 'Microsoft 开发的多智能体 AI 应用程序框架，支持自主或与人类协作的智能体',
|
||||
descriptionEn: 'A programming framework for creating multi-agent AI applications that can act autonomously or work alongside humans',
|
||||
content: markdownContent,
|
||||
contentEn: markdownContent, // 使用相同内容用于测试
|
||||
status: 'ACTIVE',
|
||||
source: 'GitHub',
|
||||
tags: [
|
||||
{ name: '多智能体', nameEn: 'Multi-Agent' },
|
||||
{ name: '框架', nameEn: 'Framework' },
|
||||
{ name: '微软', nameEn: 'Microsoft' },
|
||||
{ name: 'Python', nameEn: 'Python' },
|
||||
{ name: 'AI', nameEn: 'AI' },
|
||||
{ name: 'LLM', nameEn: 'LLM' }
|
||||
],
|
||||
links: [
|
||||
{ type: 'GITHUB', url: 'https://github.com/microsoft/autogen', title: 'GitHub 仓库' },
|
||||
{ type: 'WEBSITE', url: 'https://microsoft.github.io/autogen/', title: '官方文档' },
|
||||
{ type: 'WEBSITE', url: 'https://pypi.org/project/autogen-agentchat/', title: 'PyPI 包' }
|
||||
]
|
||||
}]
|
||||
});
|
||||
|
||||
const options = {
|
||||
hostname: '127.0.0.1',
|
||||
port: 3001,
|
||||
path: '/api/webhook/projects',
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Content-Type': 'application/json',
|
||||
'Content-Length': Buffer.byteLength(data)
|
||||
}
|
||||
};
|
||||
|
||||
const req = http.request(options, (res) => {
|
||||
let responseData = '';
|
||||
|
||||
res.on('data', (chunk) => {
|
||||
responseData += chunk;
|
||||
});
|
||||
|
||||
res.on('end', () => {
|
||||
console.log('Status:', res.statusCode);
|
||||
console.log('Response:', responseData);
|
||||
});
|
||||
});
|
||||
|
||||
req.on('error', (error) => {
|
||||
console.error('Error:', error.message);
|
||||
});
|
||||
|
||||
req.write(data);
|
||||
req.end();
|
||||
Reference in New Issue
Block a user