feat: Add AutoGen Multi-Agent Code Editing Workflow - #6
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- Implement three workflow patterns: Basic, Advanced, and Swarm - Basic workflow: Linear execution (coder → reviewer → refactor) - Advanced workflow: Conditional loops with iterative improvement - Swarm workflow: Dynamic handoff and flexible collaboration - Include comprehensive Chinese documentation and examples - Add interactive demo script with multiple task examples - Support for OpenAI GPT-4o and other models - Error handling and state management - Based on AutoGen v0.4+ latest APIs and best practices Files added: - code_editing_workflow_basic.py: Simple linear workflow - code_editing_workflow_advanced.py: Advanced conditional workflow - code_editing_workflow_swarm.py: Swarm-based workflow - run_example.py: Interactive demo script - AutoGen_Workflow_README.md: Complete documentation - requirements_autogen.txt: Dependencies list
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🚀 AutoGen 編輯工作流
本 PR 添加了一個完整的 AutoGen 多 Agent 代碼編輯工作流系統，實現了三個核心 Agent 的協作：
📁 新增文件
code_editing_workflow_basic.py- 基礎線性工作流code_editing_workflow_advanced.py- 高級條件循環工作流code_editing_workflow_swarm.py- Swarm 模式工作流run_example.py- 交互式演示腳本AutoGen_Workflow_README.md- 完整使用文檔requirements_autogen.txt- 依賴包列表✨ 主要特性
🔄 工作流類型
🎯 使用方法
pip install -r requirements_autogen.txtexport OPENAI_API_KEY="your-key"python run_example.py🧪 測試
📚 技術實現
AssistantAgent、GraphFlow、Swarm等模式這個實現展示了 AutoGen 框架在多 Agent 協作方面的強大能力，為 EduCreate 平台增加了 AI Agent 協作的功能模塊。
Pull Request opened by Augment Code with guidance from the PR author