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>
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Claude
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const http = require('http');
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const markdownContent = `# AutoGen
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## 🎯 项目简介
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**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。
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### ✨ 核心特性
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- **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
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- **AgentChat API**：提供更简单但更具主见的 API，用于快速原型设计
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- **扩展 API**：支持 LLM 客户端的特定实现（如 OpenAI、Azure OpenAI）
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- **AutoGen Studio**：用于构建多智能体应用程序的无代码 GUI
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- **AutoGen Bench**：用于评估智能体性能的基准测试套件
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## 📦 安装方式
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\`\`\`bash
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# 使用 pip 安装
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pip install -U "autogen-agentchat" "autogen-ext[openai]"
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# 安装 AutoGen Studio
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pip install -U "autogenstudio"
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\`\`\`
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> 💡 **提示**：AutoGen 需要 **Python 3.10 或更高版本**
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## 🚀 快速开始
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### Hello World 示例
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\`\`\`python
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import asyncio
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from autogen_agentchat.agents import AssistantAgent
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from autogen_ext.models.openai import OpenAIChatCompletionClient
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async def main() -> None:
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model_client = OpenAIChatCompletionClient(model="gpt-4o")
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agent = AssistantAgent("assistant", model_client=model_client)
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print(await agent.run(task="Say 'Hello World!'"))
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await model_client.close()
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asyncio.run(main())
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\`\`\`
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## 📊 功能对比
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| 特性 | AutoGen | LangChain | CrewAI |
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|------|---------|-----------|--------|
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| 多智能体协作 | ✅ | ✅ | ✅ |
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| 无代码 GUI | ✅ | ❌ | ❌ |
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| 分布式运行时 | ✅ | ❌ | ❌ |
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| .NET 支持 | ✅ | ❌ | ❌ |
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| 基准测试套件 | ✅ | ❌ | ❌ |
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## 🔧 高级用法
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### 多智能体编排
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使用 \`AgentTool\` 创建基本的多智能体编排设置：
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\`\`\`python
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import asyncio
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from autogen_agentchat.agents import AssistantAgent
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from autogen_agentchat.tools import AgentTool
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from autogen_ext.models.openai import OpenAIChatCompletionClient
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async def main() -> None:
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model_client = OpenAIChatCompletionClient(model="gpt-4o")
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# 创建数学专家智能体
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math_agent = AssistantAgent(
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"math_expert",
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model_client=model_client,
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system_message="You are a math expert.",
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description="A math expert assistant.",
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)
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# 创建化学专家智能体
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chemistry_agent = AssistantAgent(
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"chemistry_expert",
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model_client=model_client,
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system_message="You are a chemistry expert.",
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description="A chemistry expert assistant.",
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)
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print("智能体创建成功！")
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\`\`\`
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## 📚 任务清单
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- [x] 安装 AutoGen
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- [ ] 创建第一个智能体
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- [ ] 配置 OpenAI API
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- [ ] 运行多智能体对话
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- [ ] 部署到生产环境
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## 🎓 学习资源
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1. [官方文档](https://microsoft.github.io/autogen/)
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2. [GitHub 仓库](https://github.com/microsoft/autogen)
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3. [API 参考](https://microsoft.github.io/autogen/docs/reference)
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4. [示例代码](https://github.com/microsoft/autogen/tree/main/samples)
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## 💬 常见问题
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### Q: AutoGen 是免费的吗？
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**A**: 是的！AutoGen 使用 MIT 许可证，完全开源免费。
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### Q: 支持哪些 LLM 提供商？
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**A**: AutoGen 支持 OpenAI、Azure OpenAI，以及通过扩展 API 支持其他提供商。
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---
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## 📄 许可证
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MIT License - 详见 [LICENSE](https://github.com/microsoft/autogen/blob/main/LICENSE) 文件
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**Made with ❤️ by Microsoft**
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`;
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const data = JSON.stringify({
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apiKey: 'sk_live_agent_park_webhook_key_2025',
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projects: [{
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name: 'AutoGen',
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nameEn: 'AutoGen',
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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',
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descriptionEn: 'A programming framework for creating multi-agent AI applications that can act autonomously or work alongside humans',
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content: markdownContent,
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contentEn: markdownContent, // 使用相同内容用于测试
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status: 'ACTIVE',
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source: 'GitHub',
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tags: [
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{ name: '多智能体', nameEn: 'Multi-Agent' },
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{ name: '框架', nameEn: 'Framework' },
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{ name: '微软', nameEn: 'Microsoft' },
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{ name: 'Python', nameEn: 'Python' },
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{ name: 'AI', nameEn: 'AI' },
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{ name: 'LLM', nameEn: 'LLM' }
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],
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links: [
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{ type: 'GITHUB', url: 'https://github.com/microsoft/autogen', title: 'GitHub 仓库' },
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{ type: 'WEBSITE', url: 'https://microsoft.github.io/autogen/', title: '官方文档' },
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{ type: 'WEBSITE', url: 'https://pypi.org/project/autogen-agentchat/', title: 'PyPI 包' }
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]
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}]
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});
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const options = {
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hostname: '127.0.0.1',
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port: 3001,
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path: '/api/webhook/projects',
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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'Content-Length': Buffer.byteLength(data)
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}
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};
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const req = http.request(options, (res) => {
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let responseData = '';
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res.on('data', (chunk) => {
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responseData += chunk;
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});
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res.on('end', () => {
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console.log('Status:', res.statusCode);
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console.log('Response:', responseData);
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});
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});
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req.on('error', (error) => {
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console.error('Error:', error.message);
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});
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req.write(data);
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req.end();
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@@ -0,0 +1,59 @@
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const http = require('http');
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const data = JSON.stringify({
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apiKey: 'sk_live_agent_park_webhook_key_2025',
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projects: [{
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name: 'AutoGen',
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nameEn: 'AutoGen',
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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',
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descriptionEn: 'A programming framework for creating multi-agent AI applications that can act autonomously or work alongside humans',
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content: 'AutoGen 是一个由微软开发的创建多智能体 AI 应用程序的框架。主要特性：\n\n1. 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\n2. AgentChat API：提供更简单但更具主见的 API，用于快速原型设计\n3. 扩展 API：支持 LLM 客户端的特定实现（如 OpenAI、Azure OpenAI）\n4. AutoGen Studio：用于构建多智能体应用程序的无代码 GUI\n5. AutoGen Bench：用于评估智能体性能的基准测试套件\n\n支持 Python 3.10+ 和 .NET，使用 MIT 许可证。',
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contentEn: 'AutoGen is a framework for creating multi-agent AI applications. Key features: Core API, AgentChat API, Extensions API, AutoGen Studio, AutoGen Bench. Supports Python 3.10+ and .NET. MIT licensed.',
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status: 'ACTIVE',
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source: 'GitHub',
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tags: [
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{ name: '多智能体', nameEn: 'Multi-Agent' },
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{ name: '框架', nameEn: 'Framework' },
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{ name: '微软', nameEn: 'Microsoft' },
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{ name: 'Python', nameEn: 'Python' },
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{ name: 'AI', nameEn: 'AI' },
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{ name: 'LLM', nameEn: 'LLM' }
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],
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links: [
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{ type: 'GITHUB', url: 'https://github.com/microsoft/autogen', title: 'GitHub 仓库' },
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{ type: 'WEBSITE', url: 'https://microsoft.github.io/autogen/', title: '官方文档' },
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{ type: 'WEBSITE', url: 'https://pypi.org/project/autogen-agentchat/', title: 'PyPI 包' }
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]
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}]
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});
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const options = {
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hostname: '127.0.0.1',
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port: 3001,
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path: '/api/webhook/projects',
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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'Content-Length': Buffer.byteLength(data)
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}
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};
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const req = http.request(options, (res) => {
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let responseData = '';
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res.on('data', (chunk) => {
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responseData += chunk;
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});
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res.on('end', () => {
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console.log('Status:', res.statusCode);
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console.log('Response:', responseData);
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});
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});
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req.on('error', (error) => {
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console.error('Error:', error.message);
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});
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req.write(data);
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req.end();
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