433 changed files with 2170 additions and 59920 deletions
--- a/.gitignore
+++ b/.gitignore
@ -44,7 +44,11 @@ logs/
 *.db
 *.sqlite3

-
+# Node.js
+node_modules/
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*

 # OS
 .DS_Store
--- a/modules/legacy-support/AI_COLLABORATION_INVITATION.md
+++ b/modules/legacy-support/AI_COLLABORATION_INVITATION.md
--- a/modules/legacy-support/AI_DEVELOPER_GUIDELINES.md
+++ b/modules/legacy-support/AI_DEVELOPER_GUIDELINES.md
--- a/modules/legacy-support/AI_INVITATION_MESSAGE.md
+++ b/modules/legacy-support/AI_INVITATION_MESSAGE.md
--- a/modules/legacy-support/AI_QUICK_GUIDE.py
+++ b/modules/legacy-support/AI_QUICK_GUIDE.py
--- a/modules/legacy-support/CLAUDE.md
+++ b/modules/legacy-support/CLAUDE.md
--- a/modules/legacy-support/CONTRIBUTING.md
+++ b/modules/legacy-support/CONTRIBUTING.md
--- a/modules/legacy-support/GEMINI.md
+++ b/modules/legacy-support/GEMINI.md
--- a/21
+++ b/21
@ -1,21 +0,0 @@
-MIT License
-
-Copyright (c) 2024 AI Agent Collaboration Framework
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
--- a/PROJECT_STRUCTURE.md
+++ b/PROJECT_STRUCTURE.md
@ -1,90 +0,0 @@
-# 孢子殖民地项目 - 清理后结构
-
-## 🎯 根目录（极简版）
-
-```
-孢子殖民地/
-├── README.md              # 项目核心介绍
-├── LICENSE                # 开源许可证
-├── main.py               # 主程序入口
-├── ai_collaboration_demo.py  # AI协作演示
-├── install.sh            # 一键安装脚本
-├── requirements.txt      # Python依赖
-
-├── pytest.ini          # 测试配置
-├── .gitignore          # Git忽略规则
-├── .gitguardian.yaml   # 安全配置
-├── agents/             # AI代理身份系统（核心）
-├── src/               # 核心协作系统源码
-├── app/               # Streamlit应用
-├── demo_feature/      # 演示功能
-├── design/            # 设计文档
-├── docs/              # 项目文档
-├── examples/          # 使用示例
-├── outputs/           # 输出结果
-├── tests/             # 测试文件
-├── tools/             # 工具脚本
-├── website/           # 项目网站
-└── modules/           # 模块化组件
-    ├── agent-identity/     # AI代理身份模块
-    ├── core-collaboration/ # 核心协作模块
-    ├── monitoring-dashboard/ # 监控面板模块
-    ├── documentation-suite/ # 文档套件模块
-    ├── testing-framework/  # 测试框架模块
-    ├── devops-tools/      # DevOps工具模块
-    └── legacy-support/    # 历史支持文件
-```
-
-## 📁 核心目录说明
-
-### 🎯 根目录保留文件
- **main.py**: 项目主入口，启动AI协作系统
- **ai_collaboration_demo.py**: AI协作演示脚本
- **install.sh**: 一键安装所有依赖和环境
- **requirements.txt**: Python依赖清单
-
-
-### 🏗️ 核心系统目录
- **agents/**: AI代理身份管理系统
- **src/**: 核心协作系统源代码
- **app/**: Streamlit Web应用界面
- **tests/**: 单元测试和集成测试
- **tools/**: 开发工具和实用脚本
-
-### 📊 项目资产目录
- **docs/**: 项目文档和使用指南
- **examples/**: 使用示例和演示案例
- **design/**: 系统架构和设计文档
- **outputs/**: 运行输出和结果存储
- **website/**: 项目展示网站
-
-### 🧩 模块化组件（modules/）
-所有复杂功能和历史文件已迁移到modules目录：
- **legacy-support/**: 历史文件、报告、临时文件
- **其他5个模块**: 之前创建的模块化组件
-
-## 🚀 快速开始
-
-```bash
-# 1. 克隆项目
-git clone [项目地址]
-cd 孢子殖民地
-
-# 2. 一键安装
-./install.sh
-
-# 3. 启动项目
-python main.py
-
-# 4. 访问Web界面
-streamlit run app/streamlit_app.py
-```
-
-## 🎯 设计哲学
-
-**极简根目录**：只保留最核心、最常用的文件
-**模块化组织**：复杂功能全部封装到modules目录
-**清晰边界**：核心系统与辅助工具完全分离
-**易于导航**：3秒内找到任何文件
-
-现在项目根目录从30+个文件减少到17个，清爽多了！ 🎉
--- a/modules/legacy-support/QUICK_START_FOR_AI.md
+++ b/modules/legacy-support/QUICK_START_FOR_AI.md
--- a/modules/legacy-support/QWEN.md
+++ b/modules/legacy-support/QWEN.md
--- a/README.md
+++ b/README.md
@ -1,238 +1,282 @@
-# 🤖 AI Agent Collaboration Framework
+# 🏛️ 炼妖壶 (Lianyaohu) - 稷下学宫AI辩论系统

-> **从模拟到真实：让每个AI Agent都拥有独立的Git身份，实现真正的实盘协作**
+> 🧹 **致AI开发者**: 入此稷下学宫者，当先读 [`AI_DEVELOPER_GUIDELINES.md`](./AI_DEVELOPER_GUIDELINES.md) 了解项目规矩，明藏经阁章法。扫地僧叮嘱：代码如经书，需整齐摆放；文化特色不可丢，八仙智慧要传承。

-[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
-[![Python 3.8+](https://img.shields.io/badge/python-3.8+-blue.svg)](https://www.python.org/downloads/)
-[![Git 2.20+](https://img.shields.io/badge/git-2.20+-orange.svg)](https://git-scm.com/)
-[![Tests](https://github.com/your-org/agent-collaboration-framework/workflows/Tests/badge.svg)](https://github.com/your-org/agent-collaboration-framework/actions)
+提示：已支持 Cloudflare AutoRAG/Vectorize 作为记忆后端（RAG）。见 docs/guides/CLOUDFLARE_AUTORAG_INTEGRATION.md。

-## 🎯 核心理念
+基于中国哲学传统的多AI智能体辩论平台，重构版本。

-**不是让AI Agent假装协作，而是让每个Agent都有真实的Git身份：独立的SSH密钥、GPG签名、用户名和邮箱，实现可追溯的团队协作历史。**
+## ✨ 核心特性

-## ✨ 特性亮点
+- **🎭 稷下学宫八仙论道**: 基于中国传统八仙文化的多AI智能体辩论系统
+- **🧠 Vertex AI记忆银行**: 集成Google Cloud Memory Bank，让AI智能体具备持久化记忆能力
+- **🌍 天下体系分析**: 基于儒门天下观的资本生态"天命树"分析模型
+- **🔒 安全配置管理**: 使用Doppler进行统一的密钥和配置管理
+- **📊 智能数据源**: 基于17个RapidAPI订阅的永动机数据引擎
+- **📈 市场数据 (可选)**: 集成 OpenBB v4，统一路由多数据提供商，详见 docs/openbb_integration/README.md
+- **🎨 现代化界面**: 基于Streamlit的响应式Web界面

-### 🔐 真实身份系统
- ✅ 每个Agent拥有独立的SSH密钥对
- ✅ 独立的GPG签名密钥（可选）
- ✅ 独立的Git配置（用户名、邮箱）
- ✅ 可追溯的完整提交历史
+## 🏗️ 项目结构

-### 🤖 预定义Agent角色
-| Agent | 角色 | 专长 |
-|-------|------|------|
-| `claude-ai` | 架构师 | 系统设计、技术选型 |
-| `gemini-dev` | 开发者 | 核心功能开发 |
-| `qwen-ops` | 运维 | 部署脚本、监控 |
-| `llama-research` | 研究员 | 性能分析、优化 |
-
-### 🚀 一键启动
-```bash
-curl -fsSL https://raw.githubusercontent.com/your-org/agent-collaboration-framework/main/install.sh | bash
+```
+liurenchaxin/
+├── app/                    # 应用入口
+│   ├── streamlit_app.py   # 主Streamlit应用
+│   └── tabs/              # 功能模块
+│       └── tianxia_tab.py # 天下体系分析
+├── src/                   # 核心业务逻辑
+│   └── jixia/            # 稷下学宫系统
+│       └── engines/      # 核心引擎
+│           └── perpetual_engine.py # 永动机引擎
+├── config/               # 配置管理
+│   └── settings.py # Doppler配置接口
+├── scripts/              # 工具脚本
+│   └── test_openrouter_api.py # API连接测试
+├── tests/                # 测试代码
+├── .kiro/               # Kiro AI助手配置
+│   └── steering/        # AI指导规则
+└── requirements.txt     # 依赖清单
 ```

-## 🏃‍♂️ 快速开始
+## 🚀 快速开始

-### 1. 安装
-```bash
-git clone https://github.com/your-org/agent-collaboration-framework.git
-cd agent-collaboration-framework
-./install.sh
-```
+### 1. 环境准备

-### 2. 运行演示
-```bash
-# 启动多Agent协作演示
-python3 examples/basic/demo_collaboration.py
-
-# 查看Agent状态
-./agents/stats.sh
-```
-
-### 3. 手动协作
-```bash
-# 切换到架构师Agent
-./agents/switch_agent.sh claude-ai
-echo "# 系统架构设计" > docs/architecture.md
-git add docs/architecture.md
-git commit -m "添加系统架构设计文档"
-
-# 切换到开发者Agent
-./agents/switch_agent.sh gemini-dev
-echo "console.log('Hello World');" > src/app.js
-git add src/app.js
-git commit -m "实现基础应用功能"
-```
-
-## 📊 实时协作展示
-
-### 当前Agent活动
-```bash
-$ ./agents/stats.sh
-
-🔍 Agent协作统计:
-━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
-Agent: claude-ai (架构师)
-  提交次数: 5
-  代码行数: 120
-  主要贡献: 架构设计, 文档编写
-
-Agent: gemini-dev (开发者)
-  提交次数: 8
-  代码行数: 350
-  主要贡献: 核心功能, 单元测试
-
-Agent: qwen-ops (运维)
-  提交次数: 3
-  代码行数: 80
-  主要贡献: 部署脚本, 配置管理
-
-Agent: llama-research (研究员)
-  提交次数: 2
-  代码行数: 60
-  主要贡献: 性能分析, 优化建议
-━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
-```
-
-## 🏗️ 架构设计
-
-### 核心组件
-```
-agent-collaboration-framework/
-├── agents/                    # Agent身份管理
-│   ├── identity_manager.py   # 身份管理系统
-│   ├── switch_agent.sh       # Agent切换工具
-│   └── stats.sh             # 统计工具
-├── src/                     # 核心源码
-├── examples/                # 使用示例
-├── tests/                   # 测试套件
-└── docs/                    # 完整文档
-```
-
-### 身份管理流程
-```mermaid
-graph TD
-    A[启动项目] --> B[初始化Agent]
-    B --> C[生成SSH密钥]
-    B --> D[配置Git身份]
-    C --> E[Agent切换]
-    D --> E
-    E --> F[真实Git提交]
-    F --> G[可追溯历史]
-```
-
-## 🎭 使用场景
-
-### 1. 🏢 个人项目增强
- 模拟大型团队协作
- 代码审查练习
- 架构设计验证
-
-### 2. 🎓 教学演示
- Git协作教学
- 敏捷开发实践
- 代码审查培训
-
-### 3. 🏭 企业级应用
- AI辅助代码审查
- 多角色代码分析
- 自动化文档生成
-
-## 🔧 高级功能
-
-### 自定义Agent角色
-```bash
-# 创建新Agent角色
-./scripts/create_agent.sh "rust-expert" "Rust专家" "rust@ai-collaboration.local"
-```
-
-### 批量操作
-```bash
-# 所有Agent同时更新文档
-./scripts/bulk_commit.sh "更新文档" --agents="all"
-```
-
-### 代码审查模式
-```bash
-# 启动审查模式
-./scripts/review_mode.sh
-```
-
-## 🐳 Docker部署
+#### 方法一：使用自动化设置脚本（推荐）

 ```bash
-# 使用Docker快速启动
-docker run -it \
-  -v $(pwd):/workspace \
-  agent-collaboration:latest
-
-# 使用Docker Compose
-docker-compose up -d
+# 一键设置虚拟环境和依赖
+./setup_venv.sh
 ```

-## 📈 路线图
+#### 方法二：手动设置

-### Phase 1: 核心功能 ✅
- [x] 多Agent身份管理
- [x] Git协作演示
- [x] 基础工具脚本
- [x] Docker支持
+```bash
+# 创建虚拟环境
+python3 -m venv venv

-### Phase 2: 增强协作 🚧
- [ ] Web界面管理
- [ ] 实时协作监控
- [ ] 代码质量分析
- [ ] 权限管理系统
+# 激活虚拟环境
+# macOS/Linux
+source venv/bin/activate
+# Windows CMD
+# venv\Scripts\activate.bat
+# Windows PowerShell
+# venv\Scripts\Activate.ps1

-### Phase 3: 企业级 🎯
- [ ] 审计日志
- [ ] 集成CI/CD
- [ ] 高级分析
- [ ] 云原生部署
+# 升级pip
+pip install --upgrade pip
+
+# 安装依赖
+pip install -r requirements.txt
+```
+
+#### 虚拟环境管理
+
+```bash
+# 激活虚拟环境
+source venv/bin/activate
+
+# 退出虚拟环境
+deactivate
+
+# 查看已安装的包
+pip list
+
+# 更新依赖（开发时）
+pip freeze > requirements.txt
+```
+
+### 2. 配置管理
+
+项目使用Doppler进行安全的配置管理。需要配置以下环境变量：
+
+```bash
+# 必需配置（数据源）
+RAPIDAPI_KEY=your_rapidapi_key
+
+# 选择其一的AI服务密钥
+# A) OpenRouter（旧）
+OPENROUTER_API_KEY_1=your_openrouter_key
+# B) Google ADK / Gemini（新）
+GOOGLE_API_KEY=your_gemini_api_key
+# 如果使用 Vertex AI Express Mode（可选）
+GOOGLE_GENAI_USE_VERTEXAI=TRUE
+
+# Vertex AI Memory Bank 配置（新功能）
+GOOGLE_CLOUD_PROJECT_ID=your-project-id
+GOOGLE_CLOUD_LOCATION=us-central1
+VERTEX_MEMORY_BANK_ENABLED=TRUE
+
+# 可选配置
+POSTGRES_URL=your_postgres_url
+MONGODB_URL=your_mongodb_url
+ZILLIZ_URL=your_zilliz_url
+ZILLIZ_TOKEN=your_zilliz_token
+```
+
+### 3. 启动应用
+
+```bash
+# 启动Streamlit应用
+streamlit run app/streamlit_app.py
+
+# 或指定端口
+streamlit run app/streamlit_app.py --server.port 8501
+```
+
+### 4. 安装Swarm (可选)
+
+如果要使用Swarm八仙论道功能：
+
+```bash
+# 安装OpenAI Swarm
+python scripts/install_swarm.py
+
+# 或手动安装
+pip install git+https://github.com/openai/swarm.git
+```
+
+### 5. 测试连接
+
+```bash
+# 测试API连接
+python scripts/test_openrouter_api.py
+
+# 验证配置
+python config/settings.py
+
+# 测试Swarm辩论 (可选)
+python src/jixia/debates/swarm_debate.py
+
+# 测试Vertex AI Memory Bank (新功能)
+python tests/test_vertex_memory_bank.py
+```
+
+## 🎭 稷下学宫八仙论道
+
+### 辩论顺序 (Debate Order)
+
+辩论严格遵循中国哲学中的先天八卦顺序，分为两个阶段：
+
+1.  **第一轮：核心对立辩论**
+    此轮按照两两对立的原则进行，顺序如下：
+    - **乾坤对立 (男女)**: 吕洞宾 vs 何仙姑
+    - **兑艮对立 (老少)**: 张果老 vs 韩湘子
+    - **离坎对立 (富贫)**: 汉钟离 vs 蓝采和
+    - **震巽对立 (贵贱)**: 曹国舅 vs 铁拐李
+
+2.  **第二轮：顺序发言**
+    此轮按照先天八卦的完整顺序进行 (乾一, 兑二, 离三, 震四, 巽五, 坎六, 艮七, 坤八)，顺序如下：
+    - **乾**: 吕洞宾
+    - **兑**: 张果老
+    - **离**: 汉钟离
+    - **震**: 曹国舅
+    - **巽**: 铁拐李
+    - **坎**: 蓝采和
+    - **艮**: 韩湘子
+    - **坤**: 何仙姑
+
+### 人物设定 (Character Settings)
+基于中国传统八仙文化，每位仙人都有专属的卦象、代表和人设：
+
+- **吕洞宾** (乾): 男性代表
+- **何仙姑** (坤): 女性代表
+- **张果老** (兑): 老者代表
+- **韩湘子** (艮): 少年代表
+- **汉钟离** (离): 富者代表
+- **蓝采和** (坎): 贫者代表
+- **曹国舅** (震): 贵者代表
+- **铁拐李** (巽): 贱者代表
+
+### Swarm模式 (AI智能体辩论)
+基于OpenAI Swarm框架的四仙智能体辩论系统：
+
+- **🗡️ 吕洞宾** (乾卦): 技术分析专家，看涨派，犀利直接
+- **🌸 何仙姑** (坤卦): 风险控制专家，看跌派，温和坚定
+- **📚 张果老** (兑卦): 历史数据分析师，看涨派，博古通今
+- **⚡ 铁拐李** (巽卦): 逆向投资大师，看跌派，挑战共识
+
+#### 支持两种运行模式：
+- **OpenRouter模式**: 使用云端AI服务，模型选择丰富
+- **Ollama模式**: 使用本地AI服务，完全离线运行
+
+## 🌍 天下体系分析
+
+基于儒门天下观的"天命树"结构模型：
+
+### 四层架构
+- **👑 天子**: 定义范式的平台型公司 (如NVIDIA, Tesla, Apple)
+- **🏛️ 大夫**: 深度绑定天子的核心供应商 (如TSMC, CATL)
+- **⚔️ 士**: 专业供应商和服务商 (如ASML, Luxshare)
+- **🔗 嫁接**: 跨生态的策略性链接关系
+
+### 三大生态
+- **🤖 AI生态**: NVIDIA统治的AI计算生态
+- **⚡ EV生态**: Tesla定义的电动汽车生态
+- **📱 消费电子生态**: Apple建立的iOS生态
+
+## 🔧 开发指南
+
+### 代码规范
+- 使用Python类型注解
+- 遵循PEP 8编码规范
+- 所有公共函数必须有文档字符串
+- 使用dataclass定义数据结构
+
+### 安全要求
+- **零硬编码密钥**: 所有敏感信息通过Doppler或环境变量获取
+- **环境隔离**: 开发、测试、生产环境严格分离
+- **自动化扫描**: 所有提交必须通过安全检查
+
+### 测试要求
+- 所有核心功能必须有单元测试
+- API调用必须有集成测试
+- 配置管理必须有验证测试
+
+## 📊 API使用统计
+
+项目基于17个RapidAPI订阅构建永动机数据引擎：
+
+- **智能故障转移**: 主API失败时自动切换备用API
+- **负载均衡**: 智能分配API调用，避免单点过载
+- **使用统计**: 实时监控API使用情况和成本优化

 ## 🤝 贡献指南

-我们欢迎所有形式的贡献！
-
-### 快速贡献
-1. 🍴 Fork项目
-2. 🌿 创建功能分支
-3. 📝 提交更改
-4. 🚀 创建Pull Request
-
-### 开发环境
-```bash
-git clone https://github.com/your-org/agent-collaboration-framework.git
-cd agent-collaboration-framework
-pip install -r requirements-dev.txt
-pytest tests/
-```
-
-## 📚 完整文档
-
- 📖 [安装指南](SETUP.md)
- 🚀 [快速开始](QUICK_START.md)
- 🤝 [贡献指南](CONTRIBUTING.md)
- 📊 [API文档](docs/api/README.md)
- 🎓 [教程](docs/guides/README.md)
-
-## 📞 社区支持
-
- 💬 [GitHub Discussions](https://github.com/your-org/agent-collaboration-framework/discussions)
- 🐛 [Issue追踪](https://github.com/your-org/agent-collaboration-framework/issues)
- 🌟 [Star历史](https://star-history.com/#your-org/agent-collaboration-framework)
+1. Fork项目
+2. 创建功能分支 (`git checkout -b feature/amazing-feature`)
+3. 提交更改 (`git commit -m 'Add amazing feature'`)
+4. 推送到分支 (`git push origin feature/amazing-feature`)
+5. 创建Pull Request

 ## 📄 许可证

-[MIT许可证](LICENSE) - 详见许可证文件。
+本项目采用MIT许可证 - 详见 [LICENSE](LICENSE) 文件
+
+## ⚠️ 免责声明
+
+本系统仅供学习和研究使用。所有投资分析和建议仅供参考，不构成投资建议。投资有风险，决策需谨慎。

 ---

-<div align="center">
+**炼妖壶 - 让AI辩论照亮投资智慧** 🏛️✨

-**🚀 从模拟到真实，从工具到伙伴。**
+## 🧪 ADK 开发调试（可选）

-[![Star History Chart](https://api.star-history.com/svg?repos=your-org/agent-collaboration-framework&type=Date)](https://star-history.com/#your-org/agent-collaboration-framework&Date)
+如果切换到 Google ADK：

-</div>
+```bash
+# 安装 ADK（任选其一）
+pip install google-adk
+# 或安装最新开发版
+pip install git+https://github.com/google/adk-python.git@main
+
+# 启动 ADK 开发界面（在包含 agent 目录的父目录运行）
+adk web
+# 或命令行
+adk run multi_tool_agent
+# 或启动 API 服务
+adk api_server
+```
+
+> 如果遇到 _make_subprocess_transport NotImplementedError，可使用 `adk web --no-reload`。
--- a/modules/legacy-support/VERSION
+++ b/modules/legacy-support/VERSION
--- a/agents/agent_identity_manager.py
+++ b/agents/agent_identity_manager.py
@ -1,227 +0,0 @@
-#!/usr/bin/env python3
-"""
-Agent Identity Manager
-为每个AI agent提供独立的git身份和提交能力
-
-这个系统让每个agent拥有：
- 独立的SSH key对
- 独立的GPG签名key
- 独立的git配置（name, email）
- 可追溯的提交历史
-
-模拟真实团队协作，而非内部讨论
-"""
-
-import os
-import json
-import subprocess
-import shutil
-from pathlib import Path
-from typing import Dict, List, Optional
-import logging
-
-class AgentIdentity:
-    """单个agent的身份信息"""
-    def __init__(self, name: str, email: str, role: str):
-        self.name = name
-        self.email = email
-        self.role = role
-        self.ssh_key_path = None
-        self.gpg_key_id = None
-        
-    def to_dict(self) -> Dict:
-        return {
-            "name": self.name,
-            "email": self.email,
-            "role": self.role,
-            "ssh_key_path": str(self.ssh_key_path) if self.ssh_key_path else None,
-            "gpg_key_id": self.gpg_key_id
-        }
-
-class AgentIdentityManager:
-    """管理所有agent的身份和git操作"""
-    
-    def __init__(self, base_dir: str = "/home/ben/github/liurenchaxin"):
-        self.base_dir = Path(base_dir)
-        self.agents_dir = self.base_dir / "agents"
-        self.keys_dir = self.agents_dir / "keys"
-        self.config_file = self.agents_dir / "identities.json"
-        
-        # 确保目录存在
-        self.agents_dir.mkdir(exist_ok=True)
-        self.keys_dir.mkdir(exist_ok=True)
-        
-        self.identities: Dict[str, AgentIdentity] = {}
-        self.load_identities()
-        
-    def load_identities(self):
-        """从配置文件加载agent身份"""
-        if self.config_file.exists():
-            with open(self.config_file, 'r', encoding='utf-8') as f:
-                data = json.load(f)
-                for name, identity_data in data.items():
-                    identity = AgentIdentity(
-                        identity_data["name"],
-                        identity_data["email"],
-                        identity_data["role"]
-                    )
-                    identity.ssh_key_path = Path(identity_data["ssh_key_path"]) if identity_data["ssh_key_path"] else None
-                    identity.gpg_key_id = identity_data["gpg_key_id"]
-                    self.identities[name] = identity
-    
-    def save_identities(self):
-        """保存agent身份到配置文件"""
-        data = {name: identity.to_dict() for name, identity in self.identities.items()}
-        with open(self.config_file, 'w', encoding='utf-8') as f:
-            json.dump(data, f, indent=2, ensure_ascii=False)
-    
-    def create_agent(self, name: str, email: str, role: str) -> AgentIdentity:
-        """创建新的agent身份"""
-        if name in self.identities:
-            raise ValueError(f"Agent {name} 已存在")
-            
-        identity = AgentIdentity(name, email, role)
-        
-        # 生成SSH key
-        ssh_key_path = self.keys_dir / f"{name}_rsa"
-        self._generate_ssh_key(name, email, ssh_key_path)
-        identity.ssh_key_path = ssh_key_path
-        
-        # 生成GPG key
-        gpg_key_id = self._generate_gpg_key(name, email)
-        identity.gpg_key_id = gpg_key_id
-        
-        self.identities[name] = identity
-        self.save_identities()
-        
-        logging.info(f"创建agent: {name} ({role})")
-        return identity
-    
-    def _generate_ssh_key(self, name: str, email: str, key_path: Path):
-        """为agent生成SSH key"""
-        cmd = [
-            "ssh-keygen",
-            "-t", "rsa",
-            "-b", "4096",
-            "-C", email,
-            "-f", str(key_path),
-            "-N", ""  # 空密码
-        ]
-        
-        try:
-            subprocess.run(cmd, check=True, capture_output=True)
-            logging.info(f"SSH key已生成: {key_path}")
-        except subprocess.CalledProcessError as e:
-            logging.error(f"生成SSH key失败: {e}")
-            raise
-    
-    def _generate_gpg_key(self, name: str, email: str) -> str:
-        """为agent生成GPG key"""
-        # 这里简化处理，实际应该使用python-gnupg库
-        # 返回模拟的key ID
-        return f"{name.upper()}12345678"
-    
-    def switch_to_agent(self, agent_name: str):
-        """切换到指定agent身份"""
-        if agent_name not in self.identities:
-            raise ValueError(f"Agent {agent_name} 不存在")
-            
-        identity = self.identities[agent_name]
-        
-        # 设置git配置
-        commands = [
-            ["git", "config", "user.name", identity.name],
-            ["git", "config", "user.email", identity.email],
-            ["git", "config", "user.signingkey", identity.gpg_key_id],
-            ["git", "config", "commit.gpgsign", "true"]
-        ]
-        
-        for cmd in commands:
-            try:
-                subprocess.run(cmd, check=True, cwd=self.base_dir)
-            except subprocess.CalledProcessError as e:
-                logging.error(f"设置git配置失败: {e}")
-                raise
-        
-        # 设置SSH key (通过ssh-agent)
-        if identity.ssh_key_path and identity.ssh_key_path.exists():
-            self._setup_ssh_agent(identity.ssh_key_path)
-        
-        logging.info(f"已切换到agent: {agent_name}")
-    
-    def _setup_ssh_agent(self, key_path: Path):
-        """设置SSH agent使用指定key"""
-        # 这里简化处理，实际应该管理ssh-agent
-        os.environ["GIT_SSH_COMMAND"] = f"ssh -i {key_path}"
-    
-    def commit_as_agent(self, agent_name: str, message: str, files: List[str] = None):
-        """以指定agent身份提交代码"""
-        self.switch_to_agent(agent_name)
-        
-        # 添加文件
-        if files:
-            subprocess.run(["git", "add"] + files, check=True, cwd=self.base_dir)
-        else:
-            subprocess.run(["git", "add", "."], check=True, cwd=self.base_dir)
-        
-        # 提交 - 暂时禁用GPG签名
-        subprocess.run(["git", "commit", "-m", message], check=True, cwd=self.base_dir)
-        
-        logging.info(f"Agent {agent_name} 提交: {message}")
-    
-    def list_agents(self) -> List[Dict]:
-        """列出所有agent"""
-        return [identity.to_dict() for identity in self.identities.values()]
-    
-    def get_agent_stats(self, agent_name: str) -> Dict:
-        """获取agent的git统计信息"""
-        if agent_name not in self.identities:
-            raise ValueError(f"Agent {agent_name} 不存在")
-            
-        identity = self.identities[agent_name]
-        
-        # 获取提交统计
-        cmd = [
-            "git", "log", "--author", identity.email,
-            "--pretty=format:%h|%an|%ae|%ad|%s",
-            "--date=short"
-        ]
-        
-        try:
-            result = subprocess.run(cmd, capture_output=True, text=True, cwd=self.base_dir)
-            commits = result.stdout.strip().split('\n') if result.stdout.strip() else []
-            
-            return {
-                "agent_name": agent_name,
-                "total_commits": len(commits),
-                "commits": commits[:10]  # 最近10条
-            }
-        except subprocess.CalledProcessError:
-            return {
-                "agent_name": agent_name,
-                "total_commits": 0,
-                "commits": []
-            }
-
-# 使用示例和初始化
-if __name__ == "__main__":
-    manager = AgentIdentityManager()
-    
-    # 创建示例agents
-    agents_config = [
-        {"name": "claude-ai", "email": "claude@ai-collaboration.local", "role": "架构师"},
-        {"name": "gemini-dev", "email": "gemini@ai-collaboration.local", "role": "开发者"},
-        {"name": "qwen-ops", "email": "qwen@ai-collaboration.local", "role": "运维"},
-        {"name": "llama-research", "email": "llama@ai-collaboration.local", "role": "研究员"}
-    ]
-    
-    for agent in agents_config:
-        try:
-            manager.create_agent(agent["name"], agent["email"], agent["role"])
-            print(f"✅ 创建agent: {agent['name']}")
-        except ValueError as e:
-            print(f"⚠️ {e}")
-    
-    print("\n📊 当前agent列表:")
-    for agent in manager.list_agents():
-        print(f"  - {agent['name']} ({agent['role']}) - {agent['email']}")
--- a/agents/cli.py
+++ b/agents/cli.py
--- a/agents/cli_tool.py
+++ b/agents/cli_tool.py
--- a/agents/commit_as_agent.sh
+++ b/agents/commit_as_agent.sh
@ -1,26 +0,0 @@
-#!/bin/bash
-# 以指定agent身份提交
-
-if [[ $# -lt 2 ]]; then
-    echo "用法: ./commit_as_agent.sh <agent名称> \"提交信息\" [文件...]"
-    exit 1
-fi
-
-AGENT_NAME=$1
-MESSAGE=$2
-shift 2
-FILES=$@
-
-echo "📝 Agent $AGENT_NAME 正在提交..."
-python3 -c "
-import sys
-sys.path.append('agents')
-from agent_identity_manager import AgentIdentityManager
-manager = AgentIdentityManager()
-try:
-    manager.commit_as_agent('$AGENT_NAME', '$MESSAGE', '$FILES'.split() if '$FILES' else None)
-    print('✅ 提交成功')
-except Exception as e:
-    print(f'❌ 提交失败: {e}')
-    exit(1)
-"
--- a/agents/demo_collaboration.py
+++ b/agents/demo_collaboration.py
@ -1,270 +0,0 @@
-#!/usr/bin/env python3
-"""
-Agent协作演示
-展示如何让不同AI agent以真实身份协作完成任务
-
-这个演示模拟以下场景：
-1. 架构师agent设计系统架构
-2. 开发者agent实现核心功能
-3. 运维agent配置部署
-4. 研究员agent撰写文档
-
-每个步骤都有真实的git提交记录
-"""
-
-import os
-import subprocess
-import time
-from pathlib import Path
-from agent_identity_manager import AgentIdentityManager
-
-class AgentCollaborationDemo:
-    def __init__(self):
-        self.manager = AgentIdentityManager()
-        self.base_dir = Path("/home/ben/github/liurenchaxin")
-        
-    def create_demo_files(self):
-        """创建演示用的文件"""
-        demo_dir = self.base_dir / "demo_feature"
-        demo_dir.mkdir(exist_ok=True)
-        
-        # 架构师的设计文档
-        architecture_file = demo_dir / "architecture.md"
-        architecture_content = """# 新功能架构设计
-
-## 概述
-设计一个智能监控系统，用于跟踪AI agent的工作状态。
-
-## 组件设计
- 状态收集器：收集各agent的运行状态
- 分析引擎：分析agent行为模式
- 告警系统：异常行为实时通知
-
-## 技术栈
- Python 3.9+
- Redis作为消息队列
- PostgreSQL存储状态数据
- FastAPI提供REST接口
-"""
-        architecture_file.write_text(architecture_content)
-        
-        # 开发者的实现代码
-        core_file = demo_dir / "monitor.py"
-        core_content = """#!/usr/bin/env python3
-import asyncio
-import json
-from datetime import datetime
-from typing import Dict, Any
-
-class AgentMonitor:
-    def __init__(self):
-        self.agents_status = {}
-    
-    async def collect_status(self, agent_name: str) -> Dict[str, Any]:
-        return {
-            "name": agent_name,
-            "timestamp": datetime.now().isoformat(),
-            "status": "active",
-            "tasks_completed": 0
-        }
-    
-    async def run(self):
-        while True:
-            # 模拟状态收集
-            await asyncio.sleep(1)
-
-if __name__ == "__main__":
-    monitor = AgentMonitor()
-    asyncio.run(monitor.run())
-"""
-        core_file.write_text(core_content)
-        
-        # 运维的配置文件
-        config_file = demo_dir / "deploy.yaml"
-        config_content = """version: '3.8'
-services:
-  agent-monitor:
-    build: .
-    ports:
-      - "8000:8000"
-    environment:
-      - REDIS_URL=redis://redis:6379
-      - DB_URL=postgresql://user:pass@postgres:5432/agentdb
-    depends_on:
-      - redis
-      - postgres
-  
-  redis:
-    image: redis:alpine
-    ports:
-      - "6379:6379"
-  
-  postgres:
-    image: postgres:13
-    environment:
-      POSTGRES_DB: agentdb
-      POSTGRES_USER: user
-      POSTGRES_PASSWORD: pass
-"""
-        config_file.write_text(config_content)
-        
-        # 研究员的文档
-        docs_file = demo_dir / "usage_guide.md"
-        docs_content = """# Agent监控系统使用指南
-
-## 快速开始
-
-### 1. 启动监控服务
-```bash
-docker-compose up -d
-```
-
-### 2. 查看agent状态
-```bash
-curl http://localhost:8000/api/agents
-```
-
-### 3. 配置告警
-编辑 `config/alerts.yaml` 文件设置告警规则。
-
-## API文档
-
-### GET /api/agents
-获取所有agent的当前状态
-
-### POST /api/agents/{name}/task
-记录agent完成的任务
-"""
-        docs_file.write_text(docs_content)
-        
-        return [architecture_file, core_file, config_file, docs_file]
-    
-    def run_collaboration_demo(self):
-        """运行协作演示"""
-        print("🎭 开始Agent协作演示")
-        print("=" * 50)
-        
-        # 1. 架构师设计
-        print("1️⃣ 架构师agent开始设计...")
-        files = self.create_demo_files()
-        self.manager.commit_as_agent(
-            "claude-ai",
-            "📐 设计智能监控系统架构 - 添加架构设计文档",
-            [str(f) for f in files[:1]]
-        )
-        time.sleep(1)
-        
-        # 2. 开发者实现
-        print("2️⃣ 开发者agent开始编码...")
-        self.manager.commit_as_agent(
-            "gemini-dev",
-            "💻 实现监控系统核心功能 - 添加AgentMonitor类",
-            [str(files[1])]
-        )
-        time.sleep(1)
-        
-        # 3. 运维配置
-        print("3️⃣ 运维agent配置部署...")
-        self.manager.commit_as_agent(
-            "qwen-ops",
-            "⚙️ 添加Docker部署配置 - 支持一键启动",
-            [str(files[2])]
-        )
-        time.sleep(1)
-        
-        # 4. 研究员文档
-        print("4️⃣ 研究员agent撰写文档...")
-        self.manager.commit_as_agent(
-            "llama-research",
-            "📚 完善使用文档 - 添加API说明和快速指南",
-            [str(files[3])]
-        )
-        time.sleep(1)
-        
-        # 5. 架构师review
-        print("5️⃣ 架构师review并优化...")
-        optimize_file = self.base_dir / "demo_feature" / "optimization.md"
-        optimize_content = """# 架构优化建议
-
-基于实现代码的review，提出以下优化：
-
-## 性能优化
- 使用asyncio.create_task替换直接调用
- 添加连接池管理
-
-## 监控增强
- 添加prometheus指标收集
- 实现健康检查端点
-
-## 下一步计划
-1. 实现告警系统
-2. 添加Web界面
-3. 集成日志分析
-"""
-        optimize_file.write_text(optimize_content)
-        
-        self.manager.commit_as_agent(
-            "claude-ai",
-            "🔍 架构review - 提出性能优化和监控增强建议",
-            [str(optimize_file)]
-        )
-        
-        print("\n✅ 协作演示完成！")
-        
-    def show_git_history(self):
-        """显示git提交历史"""
-        print("\n📊 Git提交历史（按agent分组）:")
-        print("=" * 50)
-        
-        for agent_name in ["claude-ai", "gemini-dev", "qwen-ops", "llama-research"]:
-            stats = self.manager.get_agent_stats(agent_name)
-            if stats["commits"]:
-                print(f"\n👤 {agent_name}:")
-                for commit in stats["commits"]:
-                    parts = commit.split("|", 4)
-                    if len(parts) >= 5:
-                        hash_id, name, email, date, message = parts
-                        print(f"  {hash_id[:8]} {date} {message}")
-    
-    def cleanup_demo(self):
-        """清理演示文件"""
-        demo_dir = self.base_dir / "demo_feature"
-        if demo_dir.exists():
-            # 保留git历史，只移除工作区文件
-            subprocess.run(["git", "rm", "-rf", "demo_feature"], 
-                         cwd=self.base_dir, capture_output=True)
-            subprocess.run(["git", "commit", "-m", "🧹 清理演示文件 - 保留协作历史"], 
-                         cwd=self.base_dir, capture_output=True)
-            print("🧹 演示文件已清理，git历史保留")
-
-def main():
-    """主函数"""
-    demo = AgentCollaborationDemo()
-    
-    print("🎭 AI Agent协作演示")
-    print("=" * 50)
-    print("这个演示将展示如何让不同agent以真实身份协作")
-    print("每个agent都有独立的git身份和提交记录")
-    print("")
-    
-    # 检查agent是否已创建
-    if not demo.manager.list_agents():
-        print("❌ 请先运行 ./agents/setup_agents.sh 创建agent")
-        return
-    
-    # 运行演示
-    demo.run_collaboration_demo()
-    demo.show_git_history()
-    
-    print("\n💡 下一步:")
-    print("1. 查看git log --oneline --graph 查看提交历史")
-    print("2. 使用 ./agents/stats.sh 查看agent统计")
-    print("3. 开始你自己的多agent协作项目！")
-    
-    # 询问是否清理
-    response = input("\n是否清理演示文件？(y/N): ")
-    if response.lower() == 'y':
-        demo.cleanup_demo()
-
-if __name__ == "__main__":
-    main()
--- a/agents/git_collaboration.py
+++ b/agents/git_collaboration.py
@ -1,314 +0,0 @@
-"""
-Git 协作管理系统
-管理 Agent 之间基于 Git 的真实协作
-"""
-
-import os
-import subprocess
-import json
-from pathlib import Path
-from typing import Dict, List, Optional, Tuple, Any
-from dataclasses import dataclass
-import logging
-from .identity_manager import AgentIdentityManager
-
-@dataclass
-class Repository:
-    """仓库信息"""
-    name: str
-    local_path: str
-    remotes: Dict[str, str]  # remote_name -> url
-    current_agent: Optional[str] = None
-
-class GitCollaborationManager:
-    """Git 协作管理器"""
-    
-    def __init__(self, identity_manager: AgentIdentityManager):
-        self.identity_manager = identity_manager
-        self.logger = logging.getLogger(__name__)
-        self.repositories = {}
-        self._load_repositories()
-    
-    def _load_repositories(self):
-        """加载仓库配置"""
-        config_file = Path("config/repositories.json")
-        if config_file.exists():
-            with open(config_file, 'r', encoding='utf-8') as f:
-                data = json.load(f)
-                self.repositories = {
-                    name: Repository(**repo_data) 
-                    for name, repo_data in data.items()
-                }
-    
-    def _save_repositories(self):
-        """保存仓库配置"""
-        config_file = Path("config/repositories.json")
-        config_file.parent.mkdir(exist_ok=True)
-        
-        data = {
-            name: {
-                'name': repo.name,
-                'local_path': repo.local_path,
-                'remotes': repo.remotes,
-                'current_agent': repo.current_agent
-            }
-            for name, repo in self.repositories.items()
-        }
-        
-        with open(config_file, 'w', encoding='utf-8') as f:
-            json.dump(data, f, indent=2, ensure_ascii=False)
-    
-    def setup_progressive_deployment(self, 
-                                   repo_name: str,
-                                   gitea_url: str,
-                                   bitbucket_url: str,
-                                   github_url: str,
-                                   local_path: Optional[str] = None):
-        """设置渐进发布的三个远程仓库"""
-        
-        if not local_path:
-            local_path_str = f"./repos/{repo_name}"
-        else:
-            local_path_str = local_path
-        
-        local_path_obj = Path(local_path_str)
-        local_path_obj.mkdir(parents=True, exist_ok=True)
-        
-        # 初始化本地仓库（如果不存在）
-        if not (local_path_obj / ".git").exists():
-            subprocess.run(["git", "init"], cwd=local_path)
-        
-        # 设置远程仓库
-        remotes = {
-            "gitea": gitea_url,
-            "bitbucket": bitbucket_url,
-            "github": github_url
-        }
-        
-        for remote_name, remote_url in remotes.items():
-            # 检查远程是否已存在
-            result = subprocess.run([
-                "git", "remote", "get-url", remote_name
-            ], cwd=local_path, capture_output=True, text=True)
-            
-            if result.returncode != 0:
-                # 添加新的远程
-                subprocess.run([
-                    "git", "remote", "add", remote_name, remote_url
-                ], cwd=local_path)
-            else:
-                # 更新现有远程
-                subprocess.run([
-                    "git", "remote", "set-url", remote_name, remote_url
-                ], cwd=local_path)
-        
-        # 创建仓库记录
-        repository = Repository(
-            name=repo_name,
-            local_path=str(local_path),
-            remotes=remotes
-        )
-        
-        self.repositories[repo_name] = repository
-        self._save_repositories()
-        
-        self.logger.info(f"设置渐进发布仓库: {repo_name}")
-        return repository
-    
-    def switch_agent_context(self, repo_name: str, agent_name: str):
-        """切换仓库的 Agent 上下文"""
-        if repo_name not in self.repositories:
-            raise ValueError(f"仓库 {repo_name} 不存在")
-        
-        repository = self.repositories[repo_name]
-        
-        # 设置 Git 配置
-        self.identity_manager.setup_git_config(agent_name, repository.local_path)
-        
-        # 设置 SSH 密钥
-        identity = self.identity_manager.get_agent_identity(agent_name)
-        if identity:
-            self._setup_ssh_agent(identity.ssh_key_path)
-        
-        repository.current_agent = agent_name
-        self._save_repositories()
-        
-        self.logger.info(f"切换仓库 {repo_name} 到 Agent: {agent_name}")
-    
-    def _setup_ssh_agent(self, ssh_key_path: str):
-        """设置 SSH Agent"""
-        try:
-            # 启动 ssh-agent（如果未运行）
-            result = subprocess.run([
-                "ssh-add", "-l"
-            ], capture_output=True, text=True)
-            
-            if result.returncode != 0:
-                # 启动 ssh-agent
-                result = subprocess.run([
-                    "ssh-agent", "-s"
-                ], capture_output=True, text=True)
-                
-                if result.returncode == 0:
-                    # 解析环境变量
-                    for line in result.stdout.split('\n'):
-                        if 'SSH_AUTH_SOCK' in line:
-                            sock = line.split('=')[1].split(';')[0]
-                            os.environ['SSH_AUTH_SOCK'] = sock
-                        elif 'SSH_AGENT_PID' in line:
-                            pid = line.split('=')[1].split(';')[0]
-                            os.environ['SSH_AGENT_PID'] = pid
-            
-            # 添加 SSH 密钥
-            subprocess.run(["ssh-add", ssh_key_path])
-            
-        except Exception as e:
-            self.logger.warning(f"SSH Agent 设置失败: {e}")
-    
-    def commit_as_agent(self, 
-                       repo_name: str, 
-                       message: str, 
-                       files: Optional[List[str]] = None,
-                       sign: bool = True) -> bool:
-        """以当前 Agent 身份提交代码"""
-        
-        if repo_name not in self.repositories:
-            raise ValueError(f"仓库 {repo_name} 不存在")
-        
-        repository = self.repositories[repo_name]
-        repo_path = Path(repository.local_path)
-        
-        try:
-            # 添加文件
-            if files:
-                for file in files:
-                    subprocess.run(["git", "add", file], cwd=repo_path)
-            else:
-                subprocess.run(["git", "add", "."], cwd=repo_path)
-            
-            # 提交
-            commit_cmd = ["git", "commit", "-m", message]
-            if sign:
-                commit_cmd.append("-S")
-            
-            result = subprocess.run(commit_cmd, cwd=repo_path, capture_output=True, text=True)
-            
-            if result.returncode == 0:
-                self.logger.info(f"Agent {repository.current_agent} 提交成功: {message}")
-                return True
-            else:
-                self.logger.error(f"提交失败: {result.stderr}")
-                return False
-                
-        except Exception as e:
-            self.logger.error(f"提交过程出错: {e}")
-            return False
-    
-    def progressive_push(self, repo_name: str, branch: str = "main") -> Dict[str, bool]:
-        """渐进式推送到三个平台"""
-        
-        if repo_name not in self.repositories:
-            raise ValueError(f"仓库 {repo_name} 不存在")
-        
-        repository = self.repositories[repo_name]
-        repo_path = Path(repository.local_path)
-        
-        results = {}
-        
-        # 按顺序推送：Gitea -> Bitbucket -> GitHub
-        push_order = ["gitea", "bitbucket", "github"]
-        
-        for remote in push_order:
-            if remote in repository.remotes:
-                try:
-                    result = subprocess.run([
-                        "git", "push", remote, branch
-                    ], cwd=repo_path, capture_output=True, text=True)
-                    
-                    results[remote] = result.returncode == 0
-                    
-                    if result.returncode == 0:
-                        self.logger.info(f"推送到 {remote} 成功")
-                    else:
-                        self.logger.error(f"推送到 {remote} 失败: {result.stderr}")
-                        # 如果某个平台失败，停止后续推送
-                        break
-                        
-                except Exception as e:
-                    self.logger.error(f"推送到 {remote} 出错: {e}")
-                    results[remote] = False
-                    break
-        
-        return results
-    
-    def create_pull_request_workflow(self, 
-                                   repo_name: str,
-                                   source_agent: str,
-                                   target_agent: str,
-                                   feature_branch: str,
-                                   title: str,
-                                   description: str = "") -> bool:
-        """创建 Agent 间的 Pull Request 工作流"""
-        
-        repository = self.repositories[repo_name]
-        repo_path = Path(repository.local_path)
-        
-        try:
-            # 1. 切换到源 Agent
-            self.switch_agent_context(repo_name, source_agent)
-            
-            # 2. 创建功能分支
-            subprocess.run([
-                "git", "checkout", "-b", feature_branch
-            ], cwd=repo_path)
-            
-            # 3. 推送功能分支
-            subprocess.run([
-                "git", "push", "-u", "gitea", feature_branch
-            ], cwd=repo_path)
-            
-            # 4. 这里可以集成 API 调用来创建实际的 PR
-            # 具体实现取决于使用的 Git 平台
-            
-            self.logger.info(f"创建 PR 工作流: {source_agent} -> {target_agent}")
-            return True
-            
-        except Exception as e:
-            self.logger.error(f"创建 PR 工作流失败: {e}")
-            return False
-    
-    def get_repository_status(self, repo_name: str) -> Dict[str, Any]:
-        """获取仓库状态"""
-        if repo_name not in self.repositories:
-            raise ValueError(f"仓库 {repo_name} 不存在")
-        
-        repository = self.repositories[repo_name]
-        repo_path = Path(repository.local_path)
-        
-        status = {
-            "current_agent": repository.current_agent,
-            "branch": None,
-            "uncommitted_changes": False,
-            "remotes": repository.remotes
-        }
-        
-        try:
-            # 获取当前分支
-            result = subprocess.run([
-                "git", "branch", "--show-current"
-            ], cwd=repo_path, capture_output=True, text=True)
-            
-            if result.returncode == 0:
-                status["branch"] = result.stdout.strip()
-            
-            # 检查未提交的更改
-            result = subprocess.run([
-                "git", "status", "--porcelain"
-            ], cwd=repo_path, capture_output=True, text=True)
-            
-            status["uncommitted_changes"] = bool(result.stdout.strip())
-            
-        except Exception as e:
-            self.logger.error(f"获取仓库状态失败: {e}")
-        
-        return status
--- a/agents/identities.json
+++ b/agents/identities.json
@ -1,30 +0,0 @@
-{
-  "claude-ai": {
-    "name": "claude-ai",
-    "email": "claude@ai-collaboration.local",
-    "role": "架构师",
-    "ssh_key_path": "/home/ben/github/liurenchaxin/agents/keys/claude-ai_rsa",
-    "gpg_key_id": "CLAUDE-AI12345678"
-  },
-  "gemini-dev": {
-    "name": "gemini-dev",
-    "email": "gemini@ai-collaboration.local",
-    "role": "开发者",
-    "ssh_key_path": "/home/ben/github/liurenchaxin/agents/keys/gemini-dev_rsa",
-    "gpg_key_id": "GEMINI-DEV12345678"
-  },
-  "qwen-ops": {
-    "name": "qwen-ops",
-    "email": "qwen@ai-collaboration.local",
-    "role": "运维",
-    "ssh_key_path": "/home/ben/github/liurenchaxin/agents/keys/qwen-ops_rsa",
-    "gpg_key_id": "QWEN-OPS12345678"
-  },
-  "llama-research": {
-    "name": "llama-research",
-    "email": "llama@ai-collaboration.local",
-    "role": "研究员",
-    "ssh_key_path": "/home/ben/github/liurenchaxin/agents/keys/llama-research_rsa",
-    "gpg_key_id": "LLAMA-RESEARCH12345678"
-  }
-}
--- a/agents/identity_manager.py
+++ b/agents/identity_manager.py
@ -1,237 +0,0 @@
-"""
-Agent Identity Management System
-管理多个 AI Agent 的身份信息，包括 SSH/GPG 密钥、Git 配置等
-"""
-
-import os
-import json
-import subprocess
-from pathlib import Path
-from typing import Dict, List, Optional
-from dataclasses import dataclass, asdict
-import logging
-
-@dataclass
-class AgentIdentity:
-    """Agent 身份信息"""
-    name: str
-    email: str
-    ssh_key_path: str
-    gpg_key_id: Optional[str] = None
-    git_username: str = ""
-    description: str = ""
-    repositories: List[str] = None
-    
-    def __post_init__(self):
-        if self.repositories is None:
-            self.repositories = []
-        if not self.git_username:
-            self.git_username = self.name.lower().replace(" ", "_")
-
-class AgentIdentityManager:
-    """Agent 身份管理器"""
-    
-    def __init__(self, config_dir: str = "config/agents"):
-        self.config_dir = Path(config_dir)
-        self.config_dir.mkdir(parents=True, exist_ok=True)
-        self.identities_file = self.config_dir / "identities.json"
-        self.ssh_keys_dir = self.config_dir / "ssh_keys"
-        self.gpg_keys_dir = self.config_dir / "gpg_keys"
-        
-        # 创建必要的目录
-        self.ssh_keys_dir.mkdir(exist_ok=True)
-        self.gpg_keys_dir.mkdir(exist_ok=True)
-        
-        self.logger = logging.getLogger(__name__)
-        self._load_identities()
-    
-    def _load_identities(self):
-        """加载已有的身份信息"""
-        if self.identities_file.exists():
-            with open(self.identities_file, 'r', encoding='utf-8') as f:
-                data = json.load(f)
-                self.identities = {
-                    name: AgentIdentity(**identity_data) 
-                    for name, identity_data in data.items()
-                }
-        else:
-            self.identities = {}
-    
-    def _save_identities(self):
-        """保存身份信息到文件"""
-        data = {
-            name: asdict(identity) 
-            for name, identity in self.identities.items()
-        }
-        with open(self.identities_file, 'w', encoding='utf-8') as f:
-            json.dump(data, f, indent=2, ensure_ascii=False)
-    
-    def create_agent_identity(self, 
-                            name: str, 
-                            email: str, 
-                            description: str = "",
-                            generate_keys: bool = True) -> AgentIdentity:
-        """创建新的 Agent 身份"""
-        
-        if name in self.identities:
-            raise ValueError(f"Agent {name} 已存在")
-        
-        # 生成 SSH 密钥路径
-        ssh_key_path = str(self.ssh_keys_dir / f"{name.lower().replace(' ', '_')}_rsa")
-        
-        identity = AgentIdentity(
-            name=name,
-            email=email,
-            ssh_key_path=ssh_key_path,
-            description=description
-        )
-        
-        if generate_keys:
-            self._generate_ssh_key(identity)
-            self._generate_gpg_key(identity)
-        
-        self.identities[name] = identity
-        self._save_identities()
-        
-        self.logger.info(f"创建 Agent 身份: {name}")
-        return identity
-    
-    def _generate_ssh_key(self, identity: AgentIdentity):
-        """为 Agent 生成 SSH 密钥对"""
-        try:
-            cmd = [
-                "ssh-keygen",
-                "-t", "rsa",
-                "-b", "4096",
-                "-C", identity.email,
-                "-f", identity.ssh_key_path,
-                "-N", ""  # 无密码
-            ]
-            
-            result = subprocess.run(cmd, capture_output=True, text=True)
-            if result.returncode != 0:
-                raise Exception(f"SSH 密钥生成失败: {result.stderr}")
-            
-            # 设置正确的权限
-            os.chmod(identity.ssh_key_path, 0o600)
-            os.chmod(f"{identity.ssh_key_path}.pub", 0o644)
-            
-            self.logger.info(f"为 {identity.name} 生成 SSH 密钥: {identity.ssh_key_path}")
-            
-        except Exception as e:
-            self.logger.error(f"SSH 密钥生成失败: {e}")
-            raise
-    
-    def _generate_gpg_key(self, identity: AgentIdentity):
-        """为 Agent 生成 GPG 密钥"""
-        try:
-            # GPG 密钥生成配置
-            gpg_config = f"""
-Key-Type: RSA
-Key-Length: 4096
-Subkey-Type: RSA
-Subkey-Length: 4096
-Name-Real: {identity.name}
-Name-Email: {identity.email}
-Expire-Date: 0
-%no-protection
-%commit
-"""
-            
-            # 写入临时配置文件
-            config_file = self.gpg_keys_dir / f"{identity.git_username}_gpg_config"
-            with open(config_file, 'w') as f:
-                f.write(gpg_config)
-            
-            # 生成 GPG 密钥
-            cmd = ["gpg", "--batch", "--generate-key", str(config_file)]
-            result = subprocess.run(cmd, capture_output=True, text=True)
-            
-            if result.returncode != 0:
-                self.logger.warning(f"GPG 密钥生成失败: {result.stderr}")
-                return
-            
-            # 获取生成的密钥 ID
-            cmd = ["gpg", "--list-secret-keys", "--keyid-format", "LONG", identity.email]
-            result = subprocess.run(cmd, capture_output=True, text=True)
-            
-            if result.returncode == 0:
-                # 解析密钥 ID
-                lines = result.stdout.split('\n')
-                for line in lines:
-                    if 'sec' in line and 'rsa4096/' in line:
-                        key_id = line.split('rsa4096/')[1].split(' ')[0]
-                        identity.gpg_key_id = key_id
-                        break
-            
-            # 清理临时文件
-            config_file.unlink()
-            
-            self.logger.info(f"为 {identity.name} 生成 GPG 密钥: {identity.gpg_key_id}")
-            
-        except Exception as e:
-            self.logger.warning(f"GPG 密钥生成失败: {e}")
-    
-    def get_agent_identity(self, name: str) -> Optional[AgentIdentity]:
-        """获取 Agent 身份信息"""
-        return self.identities.get(name)
-    
-    def list_agents(self) -> List[str]:
-        """列出所有 Agent"""
-        return list(self.identities.keys())
-    
-    def setup_git_config(self, agent_name: str, repo_path: str = "."):
-        """为指定仓库设置 Agent 的 Git 配置"""
-        identity = self.get_agent_identity(agent_name)
-        if not identity:
-            raise ValueError(f"Agent {agent_name} 不存在")
-        
-        repo_path = Path(repo_path)
-        
-        # 设置 Git 用户信息
-        subprocess.run([
-            "git", "config", "--local", "user.name", identity.name
-        ], cwd=repo_path)
-        
-        subprocess.run([
-            "git", "config", "--local", "user.email", identity.email
-        ], cwd=repo_path)
-        
-        # 设置 GPG 签名
-        if identity.gpg_key_id:
-            subprocess.run([
-                "git", "config", "--local", "user.signingkey", identity.gpg_key_id
-            ], cwd=repo_path)
-            
-            subprocess.run([
-                "git", "config", "--local", "commit.gpgsign", "true"
-            ], cwd=repo_path)
-        
-        self.logger.info(f"为仓库 {repo_path} 设置 {agent_name} 的 Git 配置")
-    
-    def get_ssh_public_key(self, agent_name: str) -> str:
-        """获取 Agent 的 SSH 公钥"""
-        identity = self.get_agent_identity(agent_name)
-        if not identity:
-            raise ValueError(f"Agent {agent_name} 不存在")
-        
-        pub_key_path = f"{identity.ssh_key_path}.pub"
-        if not os.path.exists(pub_key_path):
-            raise FileNotFoundError(f"SSH 公钥文件不存在: {pub_key_path}")
-        
-        with open(pub_key_path, 'r') as f:
-            return f.read().strip()
-    
-    def export_gpg_public_key(self, agent_name: str) -> str:
-        """导出 Agent 的 GPG 公钥"""
-        identity = self.get_agent_identity(agent_name)
-        if not identity or not identity.gpg_key_id:
-            raise ValueError(f"Agent {agent_name} 没有 GPG 密钥")
-        
-        cmd = ["gpg", "--armor", "--export", identity.gpg_key_id]
-        result = subprocess.run(cmd, capture_output=True, text=True)
-        
-        if result.returncode != 0:
-            raise Exception(f"GPG 公钥导出失败: {result.stderr}")
-        
-        return result.stdout
--- a/agents/keys/claude-ai_rsa
+++ b/agents/keys/claude-ai_rsa
@ -1,49 +0,0 @@
-----BEGIN OPENSSH PRIVATE KEY-----
-b3BlbnNzaC1rZXktdjEAAAAABG5vbmUAAAAEbm9uZQAAAAAAAAABAAACFwAAAAdzc2gtcn
-NhAAAAAwEAAQAAAgEAwxFTRs1dVvxWbPQVCywG/6mmw0NAa7CMqeclew+yJiSgNutKPK/C
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-----END OPENSSH PRIVATE KEY-----
--- a/agents/keys/claude-ai_rsa.pub
+++ b/agents/keys/claude-ai_rsa.pub
@ -1 +0,0 @@
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--- a/agents/keys/gemini-dev_rsa
+++ b/agents/keys/gemini-dev_rsa
@ -1,49 +0,0 @@
-----BEGIN OPENSSH PRIVATE KEY-----
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-----END OPENSSH PRIVATE KEY-----
--- a/agents/keys/gemini-dev_rsa.pub
+++ b/agents/keys/gemini-dev_rsa.pub
@ -1 +0,0 @@
-ssh-rsa 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 gemini@ai-collaboration.local
--- a/agents/keys/llama-research_rsa
+++ b/agents/keys/llama-research_rsa
@ -1,49 +0,0 @@
-----BEGIN OPENSSH PRIVATE KEY-----
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-Kdh3EAORwkuSlKhypeA48sRh6rQUzmLDCJnX7PP8uzWsG0tStIKgrrbover7DoXeUJ8wny
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-0yUZ7ZM9G7UAAAAcbGxhbWFAYWktY29sbGFib3JhdGlvbi5sb2NhbAECAwQFBgc=
-----END OPENSSH PRIVATE KEY-----
--- a/agents/keys/llama-research_rsa.pub
+++ b/agents/keys/llama-research_rsa.pub
@ -1 +0,0 @@
-ssh-rsa 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 llama@ai-collaboration.local
--- a/agents/keys/qwen-ops_rsa
+++ b/agents/keys/qwen-ops_rsa
@ -1,49 +0,0 @@
-----BEGIN OPENSSH PRIVATE KEY-----
-b3BlbnNzaC1rZXktdjEAAAAABG5vbmUAAAAEbm9uZQAAAAAAAAABAAACFwAAAAdzc2gtcn
-NhAAAAAwEAAQAAAgEAzmqS8qCT+hBC3KahGwBcUxgYTl3+X/QTOFJ8+XJdAN7Eq8o9o0Tg
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-XLn7jsR4SCENUSFPcjXS07YJt50FMHtNLImXF/1k7rJgivbURjsPIbz6sg9McLTd4vZa7Y
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-sAAAdQbqgWgm6oFoIAAAAHc3NoLXJzYQAAAgEAzmqS8qCT+hBC3KahGwBcUxgYTl3+X/QT
-OFJ8+XJdAN7Eq8o9o0TgTHoF0X9HRa0yaIh3E62NKPmoM2d63rDAESjWaEGXNa7Tf9SkH9
-2nHbnCYgGdRmTUgg5Sxyqdlg153KMri9V+fP7WSQPv0G9g8osR22Nn8VWgz1KTD+CCUkIP
-DC4EzrLVyAGfRmBwNp2lX/bibjavhqLaoCufinE6Mo7nl1QlQkL64awgiIHNkDY0pt6HW8
-NQ8fYdLQ20+Y06Va7GWNevNT+hFXpMlIW/JZuiLjnF1k6KJbTNzjkH0hQ7QUSpeYmAZppu
-d4w7XAPOl/AO3ko6xWqEXLn7jsR4SCENUSFPcjXS07YJt50FMHtNLImXF/1k7rJgivbURj
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-4vpB0FfTr60pFXYSjUtMxR6uqwZ2DDR4o7xjTzBFgIlX2cD2MAJz6TAdJHM3h+E3zHgl42
-u66NtrpRJ6wkCEChl9jJ6teE5pkkITPIhzLTjKnXdUnnCNe29G6eYnHe/VVZHQm3uSK3Rz
-Zqvvr5hu+99X6yLcogaMZxVRT2TM4QSZ6IEOKKn+WUEnjnCpJFaxtV76PB9vOJgo73hrr8
-Iqr3hmNRKSwY3kKpfT52sAAAADAQABAAACAAL84mY+vyBDRpg4lRto6n5EwOrqR5ZucaVx
-wuPxl6yS+9lVZw5m/JeB//4pFh2WHHH7YQlWtyPM7mUewU1AXcfj8FZNQuJcefl0jEYqNT
-mOsWzpac3AWQSWpo4GV8qbrUMPobcZjagx2/7t1ii3/AGQXKO1fgQ+kn4XXJi5eHMMTJsg
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-OLBvTjKRJcERL/kJ0YqvGMrJoBODhbE+wizeEjeyTsjrZcaXWN4ulTuU8vP52wt+9zNFg1
-YojYEanIn6zfTw8087xlVoO75Bq7biwVSrqqKjZXNGUWnncUb/g+vIMi+pgLg4Vx7/oVaz
-CYbYYWSNiOaExhKQwI4O4YRvRg4YHrv8H98ZGeSGv3RJEyFytv5m7CJcbP22Pc4DQ+9B2k
-3Eu/flDralnIzSoYAz/pFDYi4+Bt6qht/emuDi5gtFOZ8/WBQWu/+0tKho9dB92i6iwTNa
-4NoyBDBtX3gapq+pnYDK2is2lMxLsn2eg01e3G5ESsMl4AoUS/CPBx6Nu/bIYAsuECPrnm
-vbGP2jYMi9NWJja8kHJBGnlteqquwt+PwO1F+oVXRAylt/jUZbv9dwt+TBYhb4rfeaUdp7
-jHJ9iSJv2w1bGQ02NZAAABADouV1qBX2MLFzQZrcyf757OlLC57nNiF4PDCVOTDnfdXp1K
-NyL+w9FCyrCAZGr96HgUGAtjqW9FT70PbXp92GfAgV0+E2etlP6Bbc4DT5gpZ2eObCsPxz
-IpegncUgjXjMuw5ObOD3VNCEYqO84VJHxGIymwOppbU01OkGIMevuZxw7Z9CQ+GACwHLp0
-l7mvBteOri455812VJxbFJQHwvcn7e3U10CpMt2w7fmZkmKAd6w6t82k4lC0jJ5lRTgn7z
-YpBcsVQr7xFnH2BfAovUUALuNoKOjYihlGB5WcxQKHKEiSrfIlM0ZK5gdOyD1iH08EmXLN
-STOjrBL7u/bpVzEAAAEBAPrHQA82x+O0hmG3LfKn8y2SkMP6VjArvkvC2HLobj9GbcjPmi
-E5FB+x9rPwVdORftW/tsAK2UGLC6l/OKEBV4/q34WJokTiy3Kab4hMDE7FDmWL5hBJBIi2
-9HO2P7OSPcBx5asTnOHyHyfjDmBBgA0EpMjpvpaa734AiN1g80r78hHbpu8on46BcAUPE9
-5j2bwzj3/yIgtqC/+SrnxzpenGBJDV1no3yTV9AGW7KtpMSCs+GDk8QZxg0oJgLLVyC3AT
-YaJgx2kLX/krKttH5R4m5bvufc7uNByUE40mmNfZH7jR4wGSafarJPoDumnOattHA00Uin
-2AgkGrGLezgAMAAAEBANK22zdHrY+LjwSomT3kbC/cHv7A7QJJuaQ8De2/Bd7H7zzYkNEe
-mpdxEKXhXDoMfg/WsKLEL8wUflEuUmy80ZngaPZ0r7sfDhEHbXNnweFV+5zFVk6+2r6Izr
-oXPCPqzKyvFgTZM0jBGTD9+wMu4MlIbHAClSO6gbP+TwY8QgJbehIZEV0bgqgsPaSdF2jZ
-HuHymvie8GwQfsNfAgUaw8pePFOULmvXv7kiE2k83PIx45AMOi81XImY9qDh2OAaRK+jS6
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-l4bSuqRUInkAAAAbcXdlbkBhaS1jb2xsYWJvcmF0aW9uLmxvY2Fs
-----END OPENSSH PRIVATE KEY-----
--- a/agents/keys/qwen-ops_rsa.pub
+++ b/agents/keys/qwen-ops_rsa.pub
@ -1 +0,0 @@
-ssh-rsa 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 qwen@ai-collaboration.local
--- a/agents/pre-commit-hook
+++ b/agents/pre-commit-hook
@ -1,11 +0,0 @@
-#!/bin/bash
-# Agent提交前的钩子
-
-echo "🔍 检查agent身份..."
-AGENT_NAME=$(git config user.name)
-if [[ -z "$AGENT_NAME" ]]; then
-    echo "❌ 未设置agent身份，请先使用agent协作系统"
-    exit 1
-fi
-
-echo "✅ 当前agent: $AGENT_NAME"
--- a/agents/setup_agents.sh
+++ b/agents/setup_agents.sh
@ -1,167 +0,0 @@
-#!/bin/bash
-# Agent协作系统设置脚本
-# 为一人公司创建多agent git协作环境
-
-set -e
-
-echo "🚀 设置AI Agent协作系统..."
-
-# 创建必要的目录
-mkdir -p agents/keys
-mkdir -p agents/logs
-
-# 设置权限
-chmod 700 agents/keys
-
-# 检查依赖
-check_dependency() {
-    if ! command -v $1 &> /dev/null; then
-        echo "❌ 需要安装: $1"
-        exit 1
-    fi
-}
-
-check_dependency "git"
-check_dependency "ssh-keygen"
-
-echo "✅ 依赖检查通过"
-
-# 初始化agent身份管理器
-echo "🤖 初始化agent身份..."
-python3 agents/agent_identity_manager.py
-
-# 创建git hooks模板
-cat > agents/pre-commit-hook << 'EOF'
-#!/bin/bash
-# Agent提交前的钩子
-
-echo "🔍 检查agent身份..."
-AGENT_NAME=$(git config user.name)
-if [[ -z "$AGENT_NAME" ]]; then
-    echo "❌ 未设置agent身份，请先使用agent协作系统"
-    exit 1
-fi
-
-echo "✅ 当前agent: $AGENT_NAME"
-EOF
-
-chmod +x agents/pre-commit-hook
-
-# 创建快速切换脚本
-cat > agents/switch_agent.sh << 'EOF'
-#!/bin/bash
-# 快速切换agent身份
-
-if [[ $# -eq 0 ]]; then
-    echo "用法: ./switch_agent.sh <agent名称>"
-    echo "可用agents:"
-    python3 -c "
-import sys
-sys.path.append('agents')
-from agent_identity_manager import AgentIdentityManager
-manager = AgentIdentityManager()
-for agent in manager.list_agents():
-    print(f'  - {agent[\"name\"]} ({agent[\"role\"]})')
-    "
-    exit 1
-fi
-
-AGENT_NAME=$1
-echo "🔄 切换到agent: $AGENT_NAME"
-python3 -c "
-import sys
-sys.path.append('agents')
-from agent_identity_manager import AgentIdentityManager
-manager = AgentIdentityManager()
-try:
-    manager.switch_to_agent('$AGENT_NAME')
-    print('✅ 切换成功')
-except Exception as e:
-    print(f'❌ 切换失败: {e}')
-    exit(1)
-"
-EOF
-
-chmod +x agents/switch_agent.sh
-
-# 创建agent提交脚本
-cat > agents/commit_as_agent.sh << 'EOF'
-#!/bin/bash
-# 以指定agent身份提交
-
-if [[ $# -lt 2 ]]; then
-    echo "用法: ./commit_as_agent.sh <agent名称> \"提交信息\" [文件...]"
-    exit 1
-fi
-
-AGENT_NAME=$1
-MESSAGE=$2
-shift 2
-FILES=$@
-
-echo "📝 Agent $AGENT_NAME 正在提交..."
-python3 -c "
-import sys
-sys.path.append('agents')
-from agent_identity_manager import AgentIdentityManager
-manager = AgentIdentityManager()
-try:
-    manager.commit_as_agent('$AGENT_NAME', '$MESSAGE', '$FILES'.split() if '$FILES' else None)
-    print('✅ 提交成功')
-except Exception as e:
-    print(f'❌ 提交失败: {e}')
-    exit(1)
-"
-EOF
-
-chmod +x agents/commit_as_agent.sh
-
-# 创建统计脚本
-cat > agents/stats.sh << 'EOF'
-#!/bin/bash
-# 查看agent统计信息
-
-echo "📊 Agent协作统计"
-echo "=================="
-
-python3 -c "
-import sys
-sys.path.append('agents')
-from agent_identity_manager import AgentIdentityManager
-manager = AgentIdentityManager()
-
-for agent in manager.list_agents():
-    name = agent['name']
-    stats = manager.get_agent_stats(name)
-    print(f'👤 {name} ({agent["role"]})')
-    print(f'   📧 {agent["email"]}')
-    print(f'   📈 提交数: {stats["total_commits"]}')
-    if stats["commits"]:
-        print(f'   📝 最近提交: {stats["commits"][0]}')
-    print()
-"
-EOF
-
-chmod +x agents/stats.sh
-
-echo "🎉 设置完成！"
-echo ""
-echo "📋 使用说明:"
-echo "1. 查看agent列表: ./agents/stats.sh"
-echo "2. 切换agent: ./agents/switch_agent.sh <agent名称>"
-echo "3. agent提交: ./agents/commit_as_agent.sh <agent名称> \"消息\""
-echo "4. 查看统计: ./agents/stats.sh"
-echo ""
-echo "🔑 SSH公钥位置:"
-for key in agents/keys/*_rsa.pub; do
-    if [[ -f "$key" ]]; then
-        agent_name=$(basename "$key" _rsa.pub)
-        echo "  $agent_name: $key"
-    fi
-done
-
-echo ""
-echo "💡 下一步:"
-echo "1. 将SSH公钥添加到GitHub/Gitea/Bitbucket"
-echo "2. 测试agent切换和提交功能"
-echo "3. 开始真正的多agent协作开发！"
--- a/agents/stats.sh
+++ b/agents/stats.sh
@ -1,22 +0,0 @@
-#!/bin/bash
-# 查看agent统计信息
-
-echo "📊 Agent协作统计"
-echo "=================="
-
-python3 -c "
-import sys
-sys.path.append('agents')
-from agent_identity_manager import AgentIdentityManager
-manager = AgentIdentityManager()
-
-for agent in manager.list_agents():
-    name = agent['name']
-    stats = manager.get_agent_stats(name)
-    print(f'👤 {name} ({agent["role"]})')
-    print(f'   📧 {agent["email"]}')
-    print(f'   📈 提交数: {stats["total_commits"]}')
-    if stats["commits"]:
-        print(f'   📝 最近提交: {stats["commits"][0]}')
-    print()
-"
--- a/agents/switch_agent.sh
+++ b/agents/switch_agent.sh
@ -1,31 +0,0 @@
-#!/bin/bash
-# 快速切换agent身份
-
-if [[ $# -eq 0 ]]; then
-    echo "用法: ./switch_agent.sh <agent名称>"
-    echo "可用agents:"
-    python3 -c "
-import sys
-sys.path.append('agents')
-from agent_identity_manager import AgentIdentityManager
-manager = AgentIdentityManager()
-for agent in manager.list_agents():
-    print(f'  - {agent[\"name\"]} ({agent[\"role\"]})')
-    "
-    exit 1
-fi
-
-AGENT_NAME=$1
-echo "🔄 切换到agent: $AGENT_NAME"
-python3 -c "
-import sys
-sys.path.append('agents')
-from agent_identity_manager import AgentIdentityManager
-manager = AgentIdentityManager()
-try:
-    manager.switch_to_agent('$AGENT_NAME')
-    print('✅ 切换成功')
-except Exception as e:
-    print(f'❌ 切换失败: {e}')
-    exit(1)
-"
--- a/app/tabs/adk_debate_tab.py
+++ b/app/tabs/adk_debate_tab.py
@ -9,27 +9,9 @@ from typing import Dict, Any, List
 project_root = Path(__file__).parent.parent.parent
 sys.path.insert(0, str(project_root))

-try:
-    from google.adk import Agent, Runner
-    from google.adk.sessions import InMemorySessionService, Session
-    from google.genai import types
-    ADK_AVAILABLE = True
-except ImportError:
-    ADK_AVAILABLE = False
-    # 创建占位符类
-    class Agent:
-        pass
-    class Runner:
-        pass
-    class InMemorySessionService:
-        pass
-    class Session:
-        pass
-    class types:
-        class Content:
-            pass
-        class Part:
-            pass
+from google.adk import Agent, Runner
+from google.adk.sessions import InMemorySessionService, Session
+from google.genai import types

 async def _get_llm_reply(runner: Runner, session: Session, prompt: str) -> str:
    """Helper function to call a Runner and get a text reply."""
@ -131,22 +113,6 @@ async def run_adk_debate_streamlit(topic: str, participants: List[str], rounds:

 def render_adk_debate_tab():
    """Renders the Streamlit UI for the ADK Debate tab."""
-    
-    # 检查 ADK 是否可用
-    if not ADK_AVAILABLE:
-        st.error("🚫 Google ADK 模块未安装或不可用")
-        st.info("📦 正在安装 Google ADK，请稍候...")
-        st.info("💡 安装完成后请刷新页面")
-        
-        with st.expander("📋 安装说明"):
-            st.code("""
-# 安装 Google ADK
-pip install google-adk>=1.12.0
-
-# 或从 GitHub 安装开发版
-pip install git+https://github.com/google/adk-python.git@main
-            """)
-        return
    st.markdown("### 🏛️ 八仙论道 (ADK版 - 太上老君主持)")
    
    topic = st.text_input(
--- a/modules/devops-tools/config/init.py
+++ b/modules/devops-tools/config/init.py
--- a/modules/devops-tools/config/doppler_config.py
+++ b/modules/devops-tools/config/doppler_config.py
--- a/modules/devops-tools/config/settings.py
+++ b/modules/devops-tools/config/settings.py
--- a/modules/legacy-support/data/debate_state.json
+++ b/modules/legacy-support/data/debate_state.json
--- a/modules/legacy-support/data/test_flow_data.json
+++ b/modules/legacy-support/data/test_flow_data.json
--- a/modules/legacy-support/data/tournament_models.txt
+++ b/modules/legacy-support/data/tournament_models.txt
--- a/demo_feature/architecture.md
+++ b/demo_feature/architecture.md
@ -1,15 +0,0 @@
-# 新功能架构设计
-
-## 概述
-设计一个智能监控系统，用于跟踪AI agent的工作状态。
-
-## 组件设计
- 状态收集器：收集各agent的运行状态
- 分析引擎：分析agent行为模式
- 告警系统：异常行为实时通知
-
-## 技术栈
- Python 3.9+
- Redis作为消息队列
- PostgreSQL存储状态数据
- FastAPI提供REST接口
--- a/demo_feature/deploy.yaml
+++ b/demo_feature/deploy.yaml
@ -1,24 +0,0 @@
-version: '3.8'
-services:
-  agent-monitor:
-    build: .
-    ports:
-      - "8000:8000"
-    environment:
-      - REDIS_URL=redis://redis:6379
-      - DB_URL=postgresql://user:pass@postgres:5432/agentdb
-    depends_on:
-      - redis
-      - postgres
-  
-  redis:
-    image: redis:alpine
-    ports:
-      - "6379:6379"
-  
-  postgres:
-    image: postgres:13
-    environment:
-      POSTGRES_DB: agentdb
-      POSTGRES_USER: user
-      POSTGRES_PASSWORD: pass
--- a/demo_feature/monitor.py
+++ b/demo_feature/monitor.py
@ -1,26 +0,0 @@
-#!/usr/bin/env python3
-import asyncio
-import json
-from datetime import datetime
-from typing import Dict, Any
-
-class AgentMonitor:
-    def __init__(self):
-        self.agents_status = {}
-    
-    async def collect_status(self, agent_name: str) -> Dict[str, Any]:
-        return {
-            "name": agent_name,
-            "timestamp": datetime.now().isoformat(),
-            "status": "active",
-            "tasks_completed": 0
-        }
-    
-    async def run(self):
-        while True:
-            # 模拟状态收集
-            await asyncio.sleep(1)
-
-if __name__ == "__main__":
-    monitor = AgentMonitor()
-    asyncio.run(monitor.run())
--- a/demo_feature/usage_guide.md
+++ b/demo_feature/usage_guide.md
@ -1,24 +0,0 @@
-# Agent监控系统使用指南
-
-## 快速开始
-
-### 1. 启动监控服务
-```bash
-docker-compose up -d
-```
-
-### 2. 查看agent状态
-```bash
-curl http://localhost:8000/api/agents
-```
-
-### 3. 配置告警
-编辑 `config/alerts.yaml` 文件设置告警规则。
-
-## API文档
-
-### GET /api/agents
-获取所有agent的当前状态
-
-### POST /api/agents/{name}/task
-记录agent完成的任务
--- a/modules/legacy-support/diagnose_trae.sh
+++ b/modules/legacy-support/diagnose_trae.sh
--- a/docs/architecture.md
+++ b/docs/architecture.md
@ -1,10 +0,0 @@
-# 智能监控系统架构设计
-
-## 系统概述
-设计一个分布式智能监控系统，支持实时数据采集和分析。
-
-## 核心组件
- 数据采集层
- 实时处理引擎
- 告警通知模块
- 可视化仪表盘
--- a/docs/development/CANARY_DEV_BETA_DEPLOYMENT.md
+++ b/docs/development/CANARY_DEV_BETA_DEPLOYMENT.md
@ -1,100 +0,0 @@
-# 金丝雀/开发/测试部署策略
-
-## 环境命名
-
-根据新的命名约定，三个环境重新命名为：
-
- **canary** (金丝雀环境): `https://gitea.tailnet-68f9.ts.net/gitea/liurenchaxin.git`
- **dev** (开发环境): `git@bitbucket.org:capitaltrain/liurenchaxin.git`
- **beta** (测试环境): `https://github.com/jingminzhang/taigongxinyi.git`
-
-## 环境用途
-
- **canary (金丝雀)**: 最新功能测试，早期验证
- **dev (开发)**: 功能开发和集成测试
- **beta (测试)**: 预发布测试，用户验收
-
-## 部署流程
-
-### 1. 日常开发流程
-
-```bash
-# 在 canary 环境开发新功能
-git checkout main
-git pull canary main
-# 开发完成后
-git add .
-git commit -m "feat: 新功能描述"
-git push canary main
-```
-
-### 2. 集成测试流程
-
-```bash
-# 将功能从 canary 推送到 dev 环境
-git checkout main
-git pull dev main
-git merge main
-git push dev main
-```
-
-### 3. 预发布流程
-
-```bash
-# 将功能从 dev 推送到 beta 环境
-git checkout main
-git pull beta main
-git merge main
-git push beta main
-```
-
-## 快速命令
-
-### 发布新版本
-
-```bash
-# 金丝雀环境发布
-./scripts/quick-release.sh 1.2.3 canary
-
-# 开发环境发布
-./scripts/quick-release.sh 1.2.3 dev
-
-# 测试环境发布
-./scripts/quick-release.sh 1.2.3 beta
-```
-
-### 回滚操作
-
-```bash
-# 回滚金丝雀环境
-./scripts/rollback.sh canary 1.2.2
-
-# 回滚开发环境
-./scripts/rollback.sh dev 1.2.2
-
-# 回滚测试环境
-./scripts/rollback.sh beta 1.2.2
-```
-
-### 状态检查
-
-```bash
-./scripts/check-status.sh
-```
-
-## 分支策略
-
- **main**: 所有环境统一使用main分支
-
-## 标签命名
-
- 金丝雀: `v1.2.3-canary`
- 开发: `v1.2.3-dev`
- 测试: `v1.2.3-beta`
-
-## 优势
-
-1. **清晰的命名**: canary/dev/beta 更符合行业标准
-2. **渐进发布**: 从金丝雀到测试的渐进式验证
-3. **快速回滚**: 每个环境都可以独立回滚
-4. **隔离性好**: 不同环境完全隔离，减少干扰
--- a/docs/development/DEPLOYMENT_FLOW.md
+++ b/docs/development/DEPLOYMENT_FLOW.md
@ -1,196 +0,0 @@
-# 六壬神鉴渐进发布流程图
-
-## 🎯 发布流程概览
-
-```
-┌─────────────────┐    ┌──────────────────┐    ┌─────────────────┐    ┌─────────────────┐
-│   Development   │    │     Staging      │    │     Canary      │    │   Production    │
-│   (Gitea)       │───▶│   (Bitbucket)    │───▶│   (GitHub 10%)   │───▶│   (GitHub 100%) │
-│   develop分支   │    │   staging分支    │    │   main分支      │    │   main分支      │
-└─────────────────┘    └──────────────────┘    └─────────────────┘    └─────────────────┘
-        │                       │                       │                       │
-        │                       │                       │                       │
-        ▼                       ▼                       ▼                       ▼
-┌─────────────────┐    ┌──────────────────┐    ┌─────────────────┐    ┌─────────────────┐
-│   功能开发       │    │   集成测试       │    │   灰度验证       │    │   全量发布       │
-│   单元测试       │    │   性能测试       │    │   监控验证       │    │   持续监控       │
-│   代码审查       │    │   安全扫描       │    │   用户反馈       │    │   性能优化       │
-└─────────────────┘    └──────────────────┘    └─────────────────┘    └─────────────────┘
-```
-
-## 🚀 快速操作指南
-
-### 1. 日常开发流程
-
-#### 开始新功能开发
-```bash
-# 从 develop 分支创建功能分支
-git checkout develop
-git pull origin develop
-git checkout -b feature/new-feature
-
-# 开发完成后
-git add .
-git commit -m "feat: 添加新功能"
-git push origin feature/new-feature
-
-# 创建 PR 到 develop 分支
-# 在 Gitea 上创建 Pull Request
-```
-
-#### 推送到开发环境
-```bash
-# 一键推送到 Gitea 开发环境
-git checkout develop
-git pull origin develop
-git merge feature/new-feature
-git push gitea develop
-```
-
-### 2. 预发布流程
-
-#### 准备 staging 发布
-```bash
-# 创建发布分支
-git checkout staging
-git merge develop
-git push staging staging:main
-
-# 或使用快捷命令
-git deploy-staging
-```
-
-#### 验证 staging 环境
-```bash
-# 检查 staging 状态
-./scripts/check-status.sh
-```
-
-### 3. 灰度发布流程
-
-#### 启动灰度发布
-```bash
-# 创建灰度版本
-git checkout main
-git merge staging
-git tag v1.2.0-canary
-git push origin main --tags
-```
-
-#### 监控灰度状态
-```bash
-# 检查发布状态
-curl -s https://api.github.com/repos/jingminzhang/taigongxinyi/releases/latest
-```
-
-### 4. 全量发布流程
-
-#### 正式版本发布
-```bash
-# 使用快速发布脚本
-./scripts/quick-release.sh 1.2.0 prod
-
-# 或手动操作
-git checkout main
-git tag v1.2.0
-git push origin main --tags
-git deploy-prod
-```
-
-## 📊 发布检查清单
-
-### 开发阶段检查
- [ ] 代码通过单元测试
- [ ] 功能测试完成
- [ ] 代码审查通过
- [ ] 文档已更新
-
-### Staging 阶段检查
- [ ] 集成测试通过
- [ ] 性能测试完成
- [ ] 安全扫描通过
- [ ] 用户验收测试完成
-
-### 灰度发布检查
- [ ] 监控指标正常
- [ ] 错误率 < 0.1%
- [ ] 用户反馈良好
- [ ] 业务指标稳定
-
-### 全量发布检查
- [ ] 灰度验证通过
- [ ] 回滚方案就绪
- [ ] 监控告警配置
- [ ] 紧急联系清单
-
-## 🔄 回滚操作
-
-### 紧急回滚
-```bash
-# 快速回滚到指定版本
-./scripts/rollback.sh prod 1.1.9
-
-# 或手动回滚
-git checkout v1.1.9
-git tag v1.2.0-rollback
-git push origin main --force
-```
-
-### 回滚验证
-```bash
-# 检查回滚状态
-./scripts/check-status.sh
-```
-
-## 📈 监控面板
-
-### 关键指标监控
- **系统性能**: CPU、内存、磁盘使用率
- **应用性能**: 响应时间、吞吐量、错误率
- **业务指标**: 用户活跃度、功能使用率
-
-### 告警规则
- 错误率 > 1% → 立即告警
- 响应时间 > 1s → 立即告警
- 服务不可用 → 立即告警
-
-## 🛠️ 工具命令速查
-
-| 操作 | 命令 | 说明 |
-|------|------|------|
-| 查看状态 | `./scripts/check-status.sh` | 检查所有环境状态 |
-| 快速发布 | `./scripts/quick-release.sh 版本号 环境` | 一键发布到指定环境 |
-| 紧急回滚 | `./scripts/rollback.sh 环境 版本号` | 快速回滚到指定版本 |
-| 推送到 staging | `git deploy-staging` | 推送到 Bitbucket staging |
-| 推送到 prod | `git deploy-prod` | 推送到 GitHub production |
-| 同步所有远程 | `git sync-all` | 同步所有远程仓库 |
-
-## 📞 紧急联系
-
-| 角色 | 联系方式 | 职责 |
-|------|----------|------|
-| 技术负责人 | ben@capitaltrain.cn | 技术决策、紧急响应 |
-| 运维团队 | ops@capitaltrain.cn | 部署、监控、故障处理 |
-| 产品团队 | product@capitaltrain.cn | 业务决策、用户沟通 |
-
-## 🎓 最佳实践
-
-### 1. 分支管理
- 功能分支从 `develop` 创建
- 发布分支从 `staging` 创建
- 热修复分支从 `main` 创建
-
-### 2. 版本命名
- 主版本: 不兼容的重大更新
- 次版本: 向后兼容的功能添加
- 修订版本: bug修复和微小改进
-
-### 3. 发布频率
- 紧急修复: 随时发布
- 常规更新: 每2周一次
- 大版本更新: 每季度一次
-
-### 4. 监控策略
- 灰度期间: 24-48小时密切监控
- 全量发布: 72小时持续监控
- 日常运维: 实时告警监控
--- a/docs/development/GRADUAL_DEPLOYMENT_PLAN.md
+++ b/docs/development/GRADUAL_DEPLOYMENT_PLAN.md
@ -1,225 +0,0 @@
-# 六壬神鉴渐进发布计划
-
-## 概述
-本计划基于当前的多环境 Git 配置，实现从开发到生产的渐进式发布流程。
-
-## 环境架构
-
-### 当前配置
- **GitHub** (production): `https://github.com/jingminzhang/taigongxinyi.git`
- **Bitbucket** (staging): `git@bitbucket.org:capitaltrain/liurenchaxin.git`
- **Gitea** (development): `https://gitea.tailnet-68f9.ts.net/gitea/liurenchaxin.git`
-
-### 分支策略
-```
-main (生产环境)
-├── staging (预发布环境)
-├── develop (开发环境)
-└── feature/* (功能分支)
-```
-
-## 渐进发布阶段
-
-### 阶段1：功能开发 (Development)
-**目标环境**: Gitea (development)
-**分支**: `feature/*` → `develop`
-
-#### 流程
-1. 从 `develop` 分支创建功能分支
-2. 在功能分支上进行开发
-3. 完成功能后合并到 `develop`
-4. 推送到 Gitea 进行初步测试
-
-#### 验证清单
- [ ] 单元测试通过
- [ ] 代码审查完成
- [ ] 功能测试通过
- [ ] 文档更新完成
-
-### 阶段2：集成测试 (Staging)
-**目标环境**: Bitbucket (staging)
-**分支**: `develop` → `staging`
-
-#### 流程
-1. 从 `develop` 分支创建发布分支 `release/vX.Y.Z`
-2. 在 staging 环境部署测试
-3. 进行集成测试和用户验收测试
-4. 修复发现的问题
-5. 合并到 `staging` 分支
-6. 推送到 Bitbucket staging 环境
-
-#### 验证清单
- [ ] 集成测试通过
- [ ] 性能测试通过
- [ ] 安全扫描通过
- [ ] 用户验收测试完成
- [ ] 回滚方案准备就绪
-
-### 阶段3：灰度发布 (Canary)
-**目标环境**: GitHub production (10%流量)
-**分支**: `staging` → `main`
-
-#### 流程
-1. 创建灰度发布标签 `vX.Y.Z-canary`
-2. 部署到生产环境 10% 流量
-3. 监控关键指标 24-48小时
-4. 根据监控结果决定全量发布或回滚
-
-#### 监控指标
- [ ] 错误率 < 0.1%
- [ ] 响应时间 < 500ms
- [ ] 用户满意度 > 95%
- [ ] 业务指标正常
-
-### 阶段4：全量发布 (Production)
-**目标环境**: GitHub production (100%流量)
-**分支**: `main`
-
-#### 流程
-1. 创建正式版本标签 `vX.Y.Z`
-2. 全量部署到生产环境
-3. 持续监控 72小时
-4. 准备热修复方案
-
-## 发布策略
-
-### 版本命名规范
- **主版本** (X.0.0): 重大功能更新或不兼容变更
- **次版本** (X.Y.0): 新功能添加，向后兼容
- **修订版本** (X.Y.Z): bug修复或小改进
-
-### 发布频率
- **紧急修复**: 随时发布
- **常规更新**: 每2周一次
- **大版本更新**: 每季度一次
-
-### 回滚策略
-```bash
-# 快速回滚到上一个版本
-git revert HEAD
-git push origin main --force
-
-# 或使用标签回滚
-git checkout vX.Y.Z-1
-git tag -a vX.Y.Z-rollback -m "Rollback to vX.Y.Z-1"
-git push origin vX.Y.Z-rollback
-```
-
-## 自动化工具
-
-### Git 钩子配置
-在 `.git/hooks/` 目录下创建以下钩子：
-
-#### pre-push
-```bash
-#!/bin/bash
-# 检查测试是否通过
-pytest tests/
-if [ $? -ne 0 ]; then
-    echo "测试未通过，禁止推送"
-    exit 1
-fi
-```
-
-#### pre-commit
-```bash
-#!/bin/bash
-# 代码格式检查
-black --check .
-flake8 .
-```
-
-### CI/CD 配置
-创建 `.github/workflows/deploy.yml`：
-
-```yaml
-name: Gradual Deployment
-
-on:
-  push:
-    branches: [staging, main]
-  release:
-    types: [published]
-
-jobs:
-  test:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v3
-      - name: Run tests
-        run: |
-          python -m pytest tests/
-          
-  deploy-staging:
-    needs: test
-    if: github.ref == 'refs/heads/staging'
-    runs-on: ubuntu-latest
-    steps:
-      - name: Deploy to staging
-        run: echo "Deploying to staging..."
-        
-  deploy-production:
-    needs: test
-    if: github.ref == 'refs/heads/main'
-    runs-on: ubuntu-latest
-    steps:
-      - name: Deploy to production
-        run: echo "Deploying to production..."
-```
-
-## 监控和告警
-
-### 关键指标
- **系统指标**: CPU、内存、磁盘使用率
- **应用指标**: 响应时间、错误率、吞吐量
- **业务指标**: 用户活跃度、功能使用率
-
-### 告警规则
- 错误率 > 1% 触发告警
- 响应时间 > 1秒 触发告警
- 服务不可用 立即告警
-
-## 发布检查清单
-
-### 发布前检查
- [ ] 所有测试通过
- [ ] 代码审查完成
- [ ] 文档已更新
- [ ] 数据库迁移脚本准备就绪
- [ ] 回滚方案已验证
-
-### 发布后检查
- [ ] 服务正常启动
- [ ] 关键功能验证
- [ ] 监控数据正常
- [ ] 用户反馈收集
- [ ] 性能指标对比
-
-## 紧急响应
-
-### 故障处理流程
-1. **发现故障** → 立即评估影响范围
-2. **5分钟内** → 决定是否回滚
-3. **10分钟内** → 执行回滚操作
-4. **30分钟内** → 修复问题并验证
-5. **1小时内** → 重新发布
-
-### 联系方式
- 技术负责人: ben@capitaltrain.cn
- 运维团队: ops@capitaltrain.cn
- 紧急热线: [待填写]
-
-## 持续改进
-
-### 发布回顾
-每次发布后一周内进行回顾会议：
- 分析发布过程中的问题
- 收集用户反馈
- 更新发布流程
- 优化监控指标
-
-### 自动化改进
- 逐步增加自动化测试覆盖率
- 完善监控和告警系统
- 优化部署脚本
- 建立自动化回滚机制
--- a/modules/legacy-support/engines/celestial_map.py
+++ b/modules/legacy-support/engines/celestial_map.py
--- a/modules/legacy-support/engines/cycle_models.py
+++ b/modules/legacy-support/engines/cycle_models.py
--- a/modules/legacy-support/engines/market_fsm.py
+++ b/modules/legacy-support/engines/market_fsm.py
--- a/modules/legacy-support/engines/monster_stock_scanner.py
+++ b/modules/legacy-support/engines/monster_stock_scanner.py
--- a/modules/legacy-support/engines/mythology.py
+++ b/modules/legacy-support/engines/mythology.py
--- a/modules/legacy-support/enhanced_multi_chat_coordinator.py
+++ b/modules/legacy-support/enhanced_multi_chat_coordinator.py
--- a/examples/ai_collaboration_demo.py
+++ b/examples/ai_collaboration_demo.py
@ -1,446 +0,0 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-四AI团队协作启动脚本
-快速启动和演示四AI协作系统
-"""
-
-import asyncio
-import json
-import logging
-from datetime import datetime
-from pathlib import Path
-
-from src.jixia.coordination.ai_team_collaboration import (
-    AITeamCollaboration, AIRole, MessageType, CollaborationType, WorkPhase
-)
-
-# 设置日志
-logging.basicConfig(
-    level=logging.INFO,
-    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
-)
-
-async def demo_openbb_integration_workflow():
-    """演示OpenBB集成的完整工作流"""
-    print("🚀 启动四AI团队协作系统演示...")
-    print("=" * 60)
-    
-    # 初始化协作系统
-    collab = AITeamCollaboration()
-    
-    # ========== 阶段1: 项目启动和架构设计 ==========
-    print("\n📋 阶段1: 项目启动和架构设计")
-    
-    # RovoDev发起项目
-    await collab.broadcast_message(
-        sender=AIRole.ROVODEV,
-        content="""🎯 **OpenBB集成项目正式启动！**
-        
-项目目标：将OpenBB金融数据平台与稷下学宫八仙论道系统深度融合
-
-各AI职责分工：
- Qwen: 架构设计师，负责系统架构和技术选型
- Claude: 核心开发工程师，负责代码实现和API集成  
- Gemini: 测试验证专家，负责功能测试和质量保证
- RovoDev: 项目整合专家，负责协调管理和文档整合
-
-请大家查看各自的工作说明书，开始工作！""",
-        message_type=MessageType.UPDATE,
-        channel_id="main_collaboration",
-        priority=4,
-        tags=["project_start", "openbb_integration"]
-    )
-    
-    # Qwen开始架构设计
-    await collab.send_message(
-        sender=AIRole.QWEN,
-        content="""🏗️ **架构设计开始**
-        
-我已经开始OpenBB集成的架构设计工作，主要包括：
-
-1. **数据抽象层设计** - 统一OpenBB与八仙系统的数据接口
-2. **八仙数据路由** - 为每个八仙设计专属的数据获取策略
-3. **智能降级机制** - OpenBB不可用时的备选方案
-4. **性能优化架构** - 缓存和负载均衡策略
-
-预计完成时间：2天
-需要其他AI配合：Claude提供实现可行性反馈""",
-        message_type=MessageType.PROPOSAL,
-        channel_id="architecture_design",
-        priority=3,
-        tags=["architecture", "design_start"]
-    )
-    
-    # Claude响应架构设计
-    await collab.send_message(
-        sender=AIRole.CLAUDE,
-        content="""💻 **实现可行性评估**
-        
-Qwen的架构设计方向很好！从实现角度我有几个建议：
-
-1. **延迟导入策略** - 确保OpenBB未安装时系统正常运行
-2. **异步数据处理** - 避免阻塞八仙论道的实时性
-3. **缓存层设计** - 减少重复的API调用
-4. **错误处理机制** - 优雅处理网络和数据异常
-
-我可以在架构确定后立即开始实现工作。""",
-        message_type=MessageType.ANSWER,
-        channel_id="architecture_design",
-        receiver=AIRole.QWEN,
-        priority=3,
-        tags=["implementation", "feasibility"]
-    )
-    
-    # Gemini提出测试策略
-    await collab.send_message(
-        sender=AIRole.GEMINI,
-        content="""🧪 **测试策略制定**
-        
-基于当前的架构讨论，我已经开始制定测试策略：
-
-1. **单元测试** - 覆盖八仙数据路由和OpenBB集成
-2. **集成测试** - 验证数据流和系统交互
-3. **性能测试** - 确保响应时间和并发处理能力
-4. **文化准确性测试** - 验证八仙特征的准确表达
-
-需要架构文档确定后细化具体测试用例。""",
-        message_type=MessageType.PROPOSAL,
-        channel_id="testing_validation",
-        priority=2,
-        tags=["testing", "strategy"]
-    )
-    
-    # ========== 工作交接演示 ==========
-    print("\n🤝 演示工作交接...")
-    
-    # 推进到设计完成阶段
-    await collab.advance_phase(WorkPhase.IMPLEMENTATION)
-    
-    # Qwen向Claude交接
-    await collab.handoff_work(
-        from_ai=AIRole.QWEN,
-        to_ai=AIRole.CLAUDE,
-        task_description="基于架构设计实现OpenBB核心引擎",
-        deliverables=[
-            "src/jixia/engines/enhanced_openbb_engine.py",
-            "src/jixia/adapters/immortal_data_processor.py", 
-            "app/tabs/enhanced_openbb_tab.py"
-        ],
-        notes="""重点关注：
-1. 八仙数据偏好的准确实现
-2. 智能降级机制的稳定性
-3. 文化特色功能的完整性"""
-    )
-    
-    # Claude接受任务并开始实现
-    await collab.send_message(
-        sender=AIRole.CLAUDE,
-        content="""✅ **任务接收确认**
-        
-已接收Qwen的架构设计交接，开始核心引擎实现：
-
-当前进度：
- [x] 架构文档审查完成
- [ ] 增强版OpenBB引擎开发中...
- [ ] 八仙数据适配器实现
- [ ] Streamlit界面优化
-
-预计完成时间：3天
-如有技术问题会在代码实现频道讨论。""",
-        message_type=MessageType.UPDATE,
-        channel_id="code_implementation", 
-        priority=3,
-        tags=["implementation", "progress"]
-    )
-    
-    # ========== 评审请求演示 ==========
-    print("\n📋 演示评审请求...")
-    
-    await collab.request_review(
-        sender=AIRole.CLAUDE,
-        content="""📋 **代码评审请求**
-        
-已完成增强版OpenBB引擎的核心实现，请求评审：
-
-主要特性：
-1. ✅ 八仙专属数据路由器
-2. ✅ 智能降级机制
-3. ✅ 异步数据处理
-4. ✅ 完整的错误处理
-
-请重点关注：
- 架构一致性 (Qwen)
- 测试覆盖度 (Gemini)
- 文档完整性 (RovoDev)""",
-        reviewers=[AIRole.QWEN, AIRole.GEMINI, AIRole.ROVODEV],
-        attachments=["src/jixia/engines/enhanced_openbb_engine.py"]
-    )
-    
-    # 各AI提供评审反馈
-    await collab.send_message(
-        sender=AIRole.QWEN,
-        content="""🏗️ **架构评审反馈**
-        
-Claude的实现与架构设计高度一致！几个优化建议：
-
-✅ 优点：
- 八仙数据路由实现准确
- 降级机制设计合理
- 性能考虑周全
-
-🔧 建议优化：
- 可以增加更多的数据源provider
- 缓存策略可以更加智能化
- 考虑添加实时数据流支持
-
-总体评分：9/10，建议通过！""",
-        message_type=MessageType.REVIEW,
-        channel_id="cross_review",
-        receiver=AIRole.CLAUDE,
-        priority=3,
-        tags=["review", "architecture", "approved"]
-    )
-    
-    await collab.send_message(
-        sender=AIRole.GEMINI,
-        content="""🧪 **测试评审反馈**
-        
-从测试角度评估Claude的实现：
-
-✅ 测试友好性：
- 代码结构清晰，易于测试
- 依赖注入设计良好
- 异常处理完善
-
-📋 测试建议：
- 需要补充Mock数据用于单元测试
- 建议增加性能基准测试
- 八仙特征测试用例需要完善
-
-开始准备对应的测试套件！""",
-        message_type=MessageType.REVIEW,
-        channel_id="cross_review",
-        receiver=AIRole.CLAUDE,
-        priority=3,
-        tags=["review", "testing", "suggestions"]
-    )
-    
-    # ========== 紧急问题演示 ==========
-    print("\n🚨 演示紧急问题处理...")
-    
-    await collab.escalate_issue(
-        reporter=AIRole.CLAUDE,
-        issue_description="""OpenBB v4.3.0版本兼容性问题：
-        
-发现新版本OpenBB的API接口有重大变更，影响数据获取功能。
-当前解决方案：
-1. 临时锁定到v4.1.0版本
-2. 准备适配新版本的兼容层
-
-需要团队讨论优先级和解决方案。""",
-        severity="high"
-    )
-    
-    # RovoDev协调解决
-    await collab.send_message(
-        sender=AIRole.ROVODEV,
-        content="""🎯 **紧急问题协调**
-        
-已接收Claude的问题报告，协调解决方案：
-
-📋 行动计划：
-1. **短期方案** (Claude负责): 锁定OpenBB v4.1.0版本，确保现有功能稳定
-2. **中期方案** (Qwen设计): 设计兼容层架构，支持多版本OpenBB
-3. **长期方案** (团队): 建立版本兼容性测试机制
-
-**时间安排**：
- 今日内完成版本锁定
- 3天内完成兼容层设计
- 1周内完成新版本适配
-
-请各AI确认该计划。""",
-        message_type=MessageType.DECISION,
-        channel_id="emergency_coordination",
-        priority=4,
-        tags=["emergency", "coordination", "action_plan"]
-    )
-    
-    # ========== 项目整合演示 ==========
-    print("\n📚 演示项目整合...")
-    
-    # 推进到整合阶段
-    await collab.advance_phase(WorkPhase.INTEGRATION)
-    
-    await collab.send_message(
-        sender=AIRole.ROVODEV,
-        content="""📚 **项目整合开始**
-        
-开始整合所有AI的工作成果：
-
-🏗️ **Qwen交付物**:
- ✅ 系统架构设计文档
- ✅ 数据抽象层接口规范
- ✅ 性能优化策略
-
-💻 **Claude交付物**:
- ✅ 增强版OpenBB引擎
- ✅ 八仙数据适配器
- ✅ Streamlit界面优化
-
-🧪 **Gemini交付物**:
- ✅ 完整测试套件
- ✅ 性能基准测试
- ✅ 质量保证报告
-
-📋 **整合任务**:
- [ ] 统一文档格式
- [ ] 集成测试验证
- [ ] 用户指南编写
- [ ] 最终质量检查
-
-预计整合完成时间：2天""",
-        message_type=MessageType.UPDATE,
-        channel_id="project_integration",
-        priority=4,
-        tags=["integration", "deliverables", "timeline"]
-    )
-    
-    # ========== 生成工作报告 ==========
-    print("\n📊 生成协作统计...")
-    
-    # 获取各AI的工作仪表板
-    for ai_role in AIRole:
-        dashboard = collab.get_ai_dashboard(ai_role)
-        print(f"\n🤖 {ai_role.value} 工作统计:")
-        print(f"   状态: {dashboard['status']['status']}")
-        print(f"   当前任务: {dashboard['status']['current_task']}")
-        print(f"   待处理任务: {len(dashboard['pending_tasks'])}个")
-        print(f"   协作得分: {dashboard['collaboration_stats']['collaboration_score']}")
-        print(f"   活跃频道: {len(dashboard['active_channels'])}个")
-    
-    # 获取频道摘要
-    print(f"\n📢 频道活跃度统计:")
-    for channel_id, channel in collab.channels.items():
-        summary = collab.get_channel_summary(channel_id)
-        print(f"   {summary['channel_name']}: {summary['total_messages']}条消息")
-    
-    print("\n🎉 四AI团队协作演示完成！")
-    print("=" * 60)
-    print("系统功能演示:")
-    print("✅ 多频道协作通信")
-    print("✅ 工作流程管理")
-    print("✅ 任务交接机制")
-    print("✅ 评审协作流程")
-    print("✅ 紧急问题处理")
-    print("✅ 项目整合管理")
-    print("✅ 实时状态监控")
-    print("\n🚀 可以启动Web界面进行可视化管理！")
-
-async def start_collaboration_system():
-    """启动协作系统的交互式版本"""
-    import sys
-    
-    collab = AITeamCollaboration()
-    
-    print("🤖 四AI团队协作系统已启动")
-    print("可用命令:")
-    print("  send - 发送消息")
-    print("  status - 查看状态")
-    print("  channels - 查看频道")
-    print("  dashboard <AI> - 查看AI仪表板")
-    print("  handoff - 工作交接")
-    print("  quit - 退出")
-    
-    # 检查是否在交互式环境中
-    if not sys.stdin.isatty():
-        print("\n⚠️ 检测到非交互式环境，运行快速演示模式")
-        print("\n📊 当前系统状态:")
-        print(f"当前阶段: {collab.current_phase.value}")
-        for ai_role, status in collab.ai_status.items():
-            print(f"{ai_role.value}: {status['status']} - {status['current_task']}")
-        
-        print("\n📢 频道列表:")
-        for channel_id, channel in collab.channels.items():
-            print(f"{channel.name} ({channel.channel_type.value}): {len(channel.message_history)}条消息")
-        
-        print("\n💡 要体验完整交互功能，请在真正的终端中运行:")
-        print("   .venv/bin/python3 ai_collaboration_demo.py interactive")
-        return
-    
-    while True:
-        try:
-            command = input("\n> ").strip().lower()
-            
-            if command == "quit":
-                break
-            elif command == "status":
-                print(f"当前阶段: {collab.current_phase.value}")
-                for ai_role, status in collab.ai_status.items():
-                    print(f"{ai_role.value}: {status['status']} - {status['current_task']}")
-            
-            elif command == "channels":
-                for channel_id, channel in collab.channels.items():
-                    print(f"{channel.name} ({channel.channel_type.value}): {len(channel.message_history)}条消息")
-            
-            elif command.startswith("dashboard"):
-                parts = command.split()
-                if len(parts) > 1:
-                    try:
-                        ai_role = AIRole(parts[1].title())
-                        dashboard = collab.get_ai_dashboard(ai_role)
-                        print(json.dumps(dashboard, indent=2, ensure_ascii=False, default=str))
-                    except ValueError:
-                        print("无效的AI角色，可选：Qwen, Claude, Gemini, Rovodev")
-                else:
-                    print("使用方法: dashboard <AI名称>")
-            
-            elif command == "send":
-                # 简化的消息发送
-                try:
-                    sender = input("发送者 (Qwen/Claude/Gemini/Rovodev): ")
-                    content = input("消息内容: ")
-                    channel = input("频道 (main_collaboration/architecture_design/etc): ")
-                    
-                    await collab.send_message(
-                        sender=AIRole(sender),
-                        content=content,
-                        message_type=MessageType.PROPOSAL,
-                        channel_id=channel or "main_collaboration"
-                    )
-                    print("消息发送成功！")
-                except EOFError:
-                    print("\n输入被中断")
-                    break
-                except Exception as e:
-                    print(f"发送失败: {e}")
-            
-            else:
-                print("未知命令")
-        
-        except EOFError:
-            print("\n检测到EOF，退出交互模式")
-            break
-        except KeyboardInterrupt:
-            print("\n检测到中断信号，退出交互模式")
-            break
-        except Exception as e:
-            print(f"错误: {e}")
-    
-    print("👋 协作系统已退出")
-
-if __name__ == "__main__":
-    import sys
-    
-    if len(sys.argv) > 1 and sys.argv[1] == "demo":
-        # 运行演示
-        asyncio.run(demo_openbb_integration_workflow())
-    elif len(sys.argv) > 1 and sys.argv[1] == "interactive":
-        # 交互式模式
-        asyncio.run(start_collaboration_system())
-    else:
-        print("四AI团队协作系统")
-        print("使用方法:")
-        print("  python ai_collaboration_demo.py demo        - 运行完整演示")
-        print("  python ai_collaboration_demo.py interactive - 交互式模式")
-        print("  streamlit run app/tabs/ai_collaboration_tab.py - 启动Web界面")
--- a/modules/legacy-support/experiments/baxian_breakdown_debate.py
+++ b/modules/legacy-support/experiments/baxian_breakdown_debate.py
--- a/modules/legacy-support/experiments/baxian_custom_api_debate.py
+++ b/modules/legacy-support/experiments/baxian_custom_api_debate.py
--- a/modules/legacy-support/experiments/data/free_models.json
+++ b/modules/legacy-support/experiments/data/free_models.json
--- a/modules/legacy-support/experiments/data/memories.json
+++ b/modules/legacy-support/experiments/data/memories.json
--- a/modules/legacy-support/experiments/data/qczh_debate_state.json
+++ b/modules/legacy-support/experiments/data/qczh_debate_state.json
--- a/modules/legacy-support/experiments/v2_1_comprehensive_test_report.json
+++ b/modules/legacy-support/experiments/v2_1_comprehensive_test_report.json
--- a/install.sh
+++ b/install.sh
@ -1,198 +0,0 @@
-#!/bin/bash
-
-# AI Agent Collaboration Framework - 安装脚本
-# 一键安装，快速启动多Agent协作
-
-set -e
-
-# 颜色定义
-RED='\033[0;31m'
-GREEN='\033[0;32m'
-YELLOW='\033[1;33m'
-BLUE='\033[0;34m'
-NC='\033[0m' # No Color
-
-# 打印带颜色的信息
-print_info() {
-    echo -e "${BLUE}[INFO]${NC} $1"
-}
-
-print_success() {
-    echo -e "${GREEN}[SUCCESS]${NC} $1"
-}
-
-print_warning() {
-    echo -e "${YELLOW}[WARNING]${NC} $1"
-}
-
-print_error() {
-    echo -e "${RED}[ERROR]${NC} $1"
-}
-
-# 检查系统要求
-check_requirements() {
-    print_info "检查系统要求..."
-    
-    # 检查Python
-    if ! command -v python3 &> /dev/null; then
-        print_error "Python3 未安装，请先安装Python3"
-        exit 1
-    fi
-    
-    # 检查Git
-    if ! command -v git &> /dev/null; then
-        print_error "Git 未安装，请先安装Git"
-        exit 1
-    fi
-    
-    # 检查SSH
-    if ! command -v ssh &> /dev/null; then
-        print_error "SSH 未安装，请先安装SSH"
-        exit 1
-    fi
-    
-    print_success "系统要求检查通过"
-}
-
-# 创建目录结构
-create_directories() {
-    print_info "创建项目目录结构..."
-    
-    mkdir -p agents/{keys,configs,templates}
-    mkdir -p src/{identity,cli,web}
-    mkdir -p tests/{unit,integration}
-    mkdir -p examples/{basic,advanced}
-    mkdir -p docs/{api,guides}
-    mkdir -p scripts
-    
-    print_success "目录结构创建完成"
-}
-
-# 安装Python依赖
-install_python_deps() {
-    print_info "安装Python依赖..."
-    
-    python3 -m pip install --upgrade pip
-    pip install -r requirements.txt
-    
-    print_success "Python依赖安装完成"
-}
-
-# 初始化Agent身份
-initialize_agents() {
-    print_info "初始化Agent身份..."
-    
-    # 复制身份管理器
-    cp agent_identity_manager.py src/identity/
-    cp demo_collaboration.py examples/basic/
-    
-    # 运行Agent设置
-    if [ -f "setup_agents.sh" ]; then
-        chmod +x setup_agents.sh
-        ./setup_agents.sh
-    else
-        print_warning "setup_agents.sh 未找到，跳过Agent初始化"
-    fi
-    
-    print_success "Agent身份初始化完成"
-}
-
-# 设置权限
-set_permissions() {
-    print_info "设置文件权限..."
-    
-    chmod +x scripts/*.sh 2>/dev/null || true
-    chmod +x agents/*.sh 2>/dev/null || true
-    
-    print_success "权限设置完成"
-}
-
-# 创建快捷方式
-create_symlinks() {
-    print_info "创建快捷方式..."
-    
-    # 创建全局命令（可选）
-    if [ "$1" = "--global" ]; then
-        sudo ln -sf "$(pwd)/agents/switch_agent.sh" /usr/local/bin/agent-switch
-        sudo ln -sf "$(pwd)/agents/stats.sh" /usr/local/bin/agent-stats
-        print_success "全局命令已创建"
-    fi
-}
-
-# 验证安装
-verify_installation() {
-    print_info "验证安装..."
-    
-    # 检查Python模块
-    python3 -c "import git; print('GitPython: OK')" 2>/dev/null || print_warning "GitPython 检查失败"
-    
-    # 检查Agent状态
-    if [ -f "agents/stats.sh" ]; then
-        ./agents/stats.sh
-    fi
-    
-    print_success "安装验证完成"
-}
-
-# 显示使用说明
-show_usage() {
-    print_success "🎉 AI Agent Collaboration Framework 安装完成！"
-    echo
-    echo "使用方法:"
-    echo "  1. 运行演示: python3 examples/basic/demo_collaboration.py"
-    echo "  2. 查看Agent: ./agents/stats.sh"
-    echo "  3. 切换Agent: ./agents/switch_agent.sh claude-ai"
-    echo "  4. 快速开始: cat QUICK_START.md"
-    echo
-    echo "文档:"
-    echo "  - 快速开始: ./docs/quick_start.md"
-    echo "  - 使用指南: ./docs/guides/"
-    echo "  - API文档: ./docs/api/"
-    echo
-    echo "社区:"
-    echo "  - GitHub: https://github.com/your-org/agent-collaboration-framework"
-    echo "  - 讨论区: https://github.com/your-org/agent-collaboration-framework/discussions"
-}
-
-# 主安装流程
-main() {
-    echo "========================================"
-    echo "  AI Agent Collaboration Framework"
-    echo "========================================"
-    echo
-    
-    # 检查参数
-    local global_install=false
-    while [[ $# -gt 0 ]]; do
-        case $1 in
-            --global)
-                global_install=true
-                shift
-                ;;
-            --help|-h)
-                echo "使用方法: $0 [--global] [--help]"
-                echo "  --global: 创建全局命令"
-                echo "  --help:   显示帮助"
-                exit 0
-                ;;
-            *)
-                print_error "未知参数: $1"
-                exit 1
-                ;;
-        esac
-    done
-    
-    # 执行安装流程
-    check_requirements
-    create_directories
-    install_python_deps
-    initialize_agents
-    set_permissions
-    create_symlinks $global_install
-    verify_installation
-    
-    show_usage
-}
-
-# 运行主程序
-main "$@"
--- a/modules/legacy-support/internal/README.md
+++ b/modules/legacy-support/internal/README.md
--- a/modules/legacy-support/internal/analysis/AI_Agent_Fandom_Culture_System.md
+++ b/modules/legacy-support/internal/analysis/AI_Agent_Fandom_Culture_System.md
--- a/modules/legacy-support/internal/analysis/AI_Virtual_Idol_Livestream_Empire.md
+++ b/modules/legacy-support/internal/analysis/AI_Virtual_Idol_Livestream_Empire.md
--- a/modules/legacy-support/internal/analysis/Cognitive_Computing_Models_Deep_Analysis.md
+++ b/modules/legacy-support/internal/analysis/Cognitive_Computing_Models_Deep_Analysis.md
--- a/modules/legacy-support/internal/analysis/KAG_Deep_Analysis_Report.md
+++ b/modules/legacy-support/internal/analysis/KAG_Deep_Analysis_Report.md
--- a/modules/legacy-support/internal/analysis/Mistral_Cognitive_Architecture_Analysis.md
+++ b/modules/legacy-support/internal/analysis/Mistral_Cognitive_Architecture_Analysis.md
--- a/modules/legacy-support/internal/analysis/Mistral_KAG_Resource_Configuration_Guide.md
+++ b/modules/legacy-support/internal/analysis/Mistral_KAG_Resource_Configuration_Guide.md
--- a/modules/legacy-support/internal/analysis/MongoDB_to_Milvus_Fix.md
+++ b/modules/legacy-support/internal/analysis/MongoDB_to_Milvus_Fix.md
--- a/modules/legacy-support/internal/analysis/kag_ecosystem_analysis.md
+++ b/modules/legacy-support/internal/analysis/kag_ecosystem_analysis.md
--- a/modules/legacy-support/internal/analysis/openmanus_integration_strategies.md
+++ b/modules/legacy-support/internal/analysis/openmanus_integration_strategies.md
--- a/modules/legacy-support/internal/analysis/rapidapi_mcp_analysis.md
+++ b/modules/legacy-support/internal/analysis/rapidapi_mcp_analysis.md
--- a/modules/legacy-support/internal/analysis/rapidapi_pool_analysis.md
+++ b/modules/legacy-support/internal/analysis/rapidapi_pool_analysis.md
--- a/modules/legacy-support/internal/analysis/rapidapi_subscription_report.md
+++ b/modules/legacy-support/internal/analysis/rapidapi_subscription_report.md
--- a/modules/legacy-support/internal/archive/historical_analysis/Force_Anti_Monologue_Techniques.md
+++ b/modules/legacy-support/internal/archive/historical_analysis/Force_Anti_Monologue_Techniques.md
--- a/modules/legacy-support/internal/archive/historical_analysis/earlycall.md
+++ b/modules/legacy-support/internal/archive/historical_analysis/earlycall.md
--- a/modules/legacy-support/internal/archive/historical_analysis/gemini.md
+++ b/modules/legacy-support/internal/archive/historical_analysis/gemini.md
--- a/modules/legacy-support/internal/archive/historical_analysis/index_professional.md
+++ b/modules/legacy-support/internal/archive/historical_analysis/index_professional.md
--- a/modules/legacy-support/internal/archive/historical_analysis/tianxia.md
+++ b/modules/legacy-support/internal/archive/historical_analysis/tianxia.md
--- a/modules/legacy-support/internal/core/baxian_sanqing_system_guide.md
+++ b/modules/legacy-support/internal/core/baxian_sanqing_system_guide.md
--- a/modules/legacy-support/internal/core/fsm.md
+++ b/modules/legacy-support/internal/core/fsm.md
--- a/modules/legacy-support/internal/core/fsm_analysis.md
+++ b/modules/legacy-support/internal/core/fsm_analysis.md
--- a/modules/legacy-support/internal/development/comprehensive_development_plan.md
+++ b/modules/legacy-support/internal/development/comprehensive_development_plan.md
--- a/modules/legacy-support/internal/development/comprehensive_plan.md
+++ b/modules/legacy-support/internal/development/comprehensive_plan.md
--- a/modules/legacy-support/internal/development/execution_plan_v2.0.0.md
+++ b/modules/legacy-support/internal/development/execution_plan_v2.0.0.md
--- a/modules/legacy-support/internal/docs/DEPENDENCY_ANALYSIS.md
+++ b/modules/legacy-support/internal/docs/DEPENDENCY_ANALYSIS.md
--- a/modules/legacy-support/internal/docs/GAMEFI_SYSTEM_SUMMARY.md
+++ b/modules/legacy-support/internal/docs/GAMEFI_SYSTEM_SUMMARY.md
--- a/modules/legacy-support/internal/docs/RFC-FSRP-Draft.md
+++ b/modules/legacy-support/internal/docs/RFC-FSRP-Draft.md
--- a/modules/legacy-support/internal/docs/UV_MIGRATION_ANALYSIS.md
+++ b/modules/legacy-support/internal/docs/UV_MIGRATION_ANALYSIS.md
--- a/modules/legacy-support/internal/docs/WHY_UV_MIGRATION.md
+++ b/modules/legacy-support/internal/docs/WHY_UV_MIGRATION.md
--- a/modules/legacy-support/internal/docs/doppler_migration_summary.md
+++ b/modules/legacy-support/internal/docs/doppler_migration_summary.md
--- a/modules/legacy-support/internal/docs/gamefi.md
+++ b/modules/legacy-support/internal/docs/gamefi.md
--- a/modules/legacy-support/internal/docs/ib_fundamentals_guide.md
+++ b/modules/legacy-support/internal/docs/ib_fundamentals_guide.md
--- a/modules/legacy-support/internal/docs/lingbao_n8n_integration.md
+++ b/modules/legacy-support/internal/docs/lingbao_n8n_integration.md
--- a/modules/legacy-support/internal/docs/openhands_integration_guide.md
+++ b/modules/legacy-support/internal/docs/openhands_integration_guide.md
--- a/modules/legacy-support/internal/mcp/MCP_Driven_User_Acquisition_Funnel.md
+++ b/modules/legacy-support/internal/mcp/MCP_Driven_User_Acquisition_Funnel.md
--- a/modules/legacy-support/internal/mcp/MCP_MANAGEMENT_SOLUTION.md
+++ b/modules/legacy-support/internal/mcp/MCP_MANAGEMENT_SOLUTION.md
--- a/Show More
+++ b/Show More
				`@ -1 +0,0 @@`
				ssh-rsa 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 claude@ai-collaboration.local
				`@ -1 +0,0 @@`
				ssh-rsa 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 gemini@ai-collaboration.local
				`@ -1 +0,0 @@`
				ssh-rsa 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 llama@ai-collaboration.local
				`@ -1 +0,0 @@`
				ssh-rsa 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 qwen@ai-collaboration.local