feat: AI聊天室多Agent协作讨论平台

- 实现Agent管理，支持AI辅助生成系统提示词
- 支持多个AI提供商（OpenRouter、智谱、MiniMax等）
- 实现聊天室和讨论引擎
- WebSocket实时消息推送
- 前端使用React + Ant Design
- 后端使用FastAPI + MongoDB

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

CLAUDE.md

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+# CLAUDE.md
+
+This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
+
+## Project Overview
+
+AI Chat Room (AI聊天室) is a multi-agent collaborative discussion platform. Users configure AI providers, create agents with different roles, and let them discuss in chat rooms to reach consensus.
+
+**Stack:** FastAPI (Python 3.11+) backend + React 18 (TypeScript) frontend + MongoDB database. Real-time communication via WebSockets.
+
+## Development Commands
+
+### Docker (Recommended)
+```bash
+# Start all services
+docker-compose up -d
+
+# Rebuild after changes
+docker-compose up -d --build
+
+# View logs
+docker-compose logs -f backend
+docker-compose logs -f frontend
+```
+
+### Backend (Local)
+```bash
+cd backend
+python -m venv venv
+venv\Scripts\activate  # Windows: activate, Linux/Mac: source venv/bin/activate
+pip install -r requirements.txt
+python main.py
+```
+
+Backend runs on http://localhost:8000 - API docs at http://localhost:8000/docs
+
+### Frontend (Local)
+```bash
+cd frontend
+npm install
+npm run dev       # Development server (Vite)
+npm run build     # Production build (tsc && vite build)
+```
+
+Frontend runs on http://localhost:3000
+
+## Architecture
+
+### Backend Structure
+- **[adapters/](backend/adapters/)** - AI provider integrations using Adapter pattern
+  - `base_adapter.py` - Abstract base class with `ChatMessage`, `AdapterResponse`, `BaseAdapter`
+  - Each adapter implements `chat()`, `chat_stream()`, `test_connection()`
+  - Supported: OpenRouter, Zhipu (智谱), MiniMax, Kimi, DeepSeek, Gemini, Ollama, LLM Studio
+- **[models/](backend/models/)** - Beanie ODM documents for MongoDB
+- **[services/](backend/services/)** - Business logic layer
+  - `discussion_engine.py` - Core multi-agent discussion orchestration
+  - `consensus_manager.py` - Moderator agent evaluates if consensus reached
+  - `message_router.py` - WebSocket message routing
+- **[routers/](backend/routers/)** - FastAPI route handlers (providers, agents, chatrooms, discussions)
+- **[utils/](backend/utils/)** - encryption.py (API keys), proxy_handler.py, rate_limiter.py
+
+### Frontend Structure
+- **[src/stores/](frontend/src/stores/)** - Zustand state management
+- **[src/services/](frontend/src/services/)** - API client and WebSocket client
+- **[src/pages/](frontend/src/pages/)** - Dashboard, ProviderConfig, AgentManagement, ChatRoom, DiscussionHistory
+- **[src/components/](frontend/src/components/)** - Reusable UI components using Ant Design
+
+### Key Data Flow
+1. User creates agents (role + system prompt) and assigns AI providers
+2. Chat room created with selected agents + optional moderator
+3. Discussion started: `discussion_engine.py` orchestrates turn-based agent interactions
+4. Each round: agents receive context and decide whether to speak (role relevance)
+5. Moderator agent periodically checks for consensus via `consensus_manager.py`
+6. WebSocket streams messages in real-time to frontend
+
+### Adding New AI Providers
+1. Create new adapter in `backend/adapters/` inheriting from `BaseAdapter`
+2. Implement async methods: `chat()`, `chat_stream()`, `test_connection()`
+3. Register in `backend/adapters/__init__.py`
+
+## Configuration
+
+Environment variables in `.env`:
+- `MONGODB_URL` - MongoDB connection string
+- `MONGODB_DB` - Database name (default: ai_chatroom)
+- `SECRET_KEY` - JWT signing key
+- `ENCRYPTION_KEY` - 32-byte key for API key encryption
+- `DEFAULT_HTTP_PROXY` / `DEFAULT_HTTPS_PROXY` - Proxy for overseas APIs
+
+Backend config in [backend/config.py](backend/config.py) - Pydantic Settings with defaults.
+
+## Important Notes
+
+- All async/await - Python async functions throughout backend
+- API keys encrypted at rest using `cryptography` Fernet
+- WebSocket heartbeat every 30s (`WS_HEARTBEAT_INTERVAL`)
+- CORS origins configured in settings for local development
+- MongoDB indexes created automatically by Beanie on startup
+- Chinese language UI (README and comments in Chinese)