feat: 增强 Agent 系统和完善项目结构

主要改进:
- Agent 增强: 订单查询、售后支持、客服路由等功能优化
- 新增语言检测和 Token 管理模块
- 改进 Chatwoot webhook 处理和用户标识
- MCP 服务器增强: 订单 MCP 和 Strapi MCP 功能扩展
- 新增商城客户端、知识库、缓存和同步模块
- 添加多语言提示词系统 (YAML)
- 完善项目结构: 整理文档、脚本和测试文件
- 新增调试和测试工具脚本

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

tests/test_return_faq.py

@@ -0,0 +1,63 @@
+"""
+测试退货相关 FAQ 回答
+"""
+import asyncio
+import sys
+import os
+
+# 添加 agent 目录到路径
+sys.path.insert(0, '/app')
+
+from agents.customer_service import customer_service_agent
+from core.state import AgentState
+
+
+async def test_return_faq():
+    """测试退货相关 FAQ"""
+
+    # 测试问题列表
+    test_questions = [
+        "I received a defective item, what should I do?",
+        "How do I return a product?",
+        "What is your return policy?",
+        "I want to get a refund for my order",
+    ]
+
+    for question in test_questions:
+        print(f"\n{'='*60}")
+        print(f"📝 问题: {question}")
+        print(f"{'='*60}")
+
+        # 初始化状态
+        state = AgentState(
+            conversation_id="test_return_001",
+            user_id="test_user",
+            account_id="2",
+            message=question,
+            history=[],
+            context={}
+        )
+
+        try:
+            # 调用客服 Agent
+            final_state = await customer_service_agent(state)
+
+            # 获取响应
+            response = final_state.get("response", "无响应")
+            tool_calls = final_state.get("tool_calls", [])
+            intent = final_state.get("intent")
+
+            print(f"\n🎯 意图识别: {intent}")
+            print(f"\n🤖 AI 回答:")
+            print(response)
+            print(f"\n📊 调用的工具: {tool_calls}")
+
+        except Exception as e:
+            print(f"\n❌ 错误: {e}")
+            import traceback
+            traceback.print_exc()
+
+
+if __name__ == "__main__":
+    print("🧪 测试退货相关 FAQ 回答\n")
+    asyncio.run(test_return_faq())