Enhance Docker configuration and update dependencies for Realtime Agent Studio

- Updated Dockerfile for the API to include build tools for C++11 required for native extensions.
- Revised requirements.txt to upgrade several dependencies, including FastAPI and SQLAlchemy.
- Expanded docker-compose.yml to add MinIO service for S3-compatible storage and improved health checks for backend and engine services.
- Enhanced README.md in the Docker directory to provide detailed service descriptions and quick start instructions.
- Updated mkdocs.yml to reflect new navigation structure and added deployment overview documentation.
- Introduced new Dockerfiles for the engine and web services, including development configurations for hot reloading.

docs/content/deployment/index.md

@@ -1,13 +1,12 @@
-# 部署指南
+# 部署概览
 
-本章节介绍如何将 Realtime Agent Studio (RAS) 部署到生产环境。
+本章节介绍如何使用 Docker 部署 Realtime Agent Studio (RAS)。
 
 ## 部署方式
 
 | 方式 | 适用场景 | 复杂度 |
 |------|---------|--------|
-| [Docker 部署](docker.md) | 快速部署、容器化环境 | 简单 |
-| [生产环境](production.md) | Nginx 反向代理、高可用 | 中等 |
+| [Docker 部署](docker.md) | 快速启动、容器化运行 | 简单 |
 
 ## 快速开始
 
@@ -20,7 +19,7 @@ docker run -d -p 3000:80 --name ai-assistant-web ai-video-assistant-web
 
 ### 验证部署
 
-1. 访问 http://your-domain.com
+1. 访问 http://localhost:3000
 2. 检查页面是否正常加载
 3. 验证各功能模块是否可用