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>
This commit is contained in:
wangliang
74
tests/test_all_faq.sh
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74
tests/test_all_faq.sh
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#!/bin/bash
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# 测试所有 FAQ 分类
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echo "=========================================="
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echo "🧪 测试所有 FAQ 分类"
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echo "=========================================="
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echo ""
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# 定义测试用例
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declare -A TEST_CASES=(
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["订单相关"]="How do I place an order?"
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["支付相关"]="What payment methods do you accept?"
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["运输相关"]="What are the shipping options?"
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["退货相关"]="I received a defective item, what should I do?"
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["账号相关"]="I forgot my password, now what?"
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["营业时间"]="What are your opening hours?"
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)
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# 测试每个分类
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for category in "${!TEST_CASES[@]}"; do
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question="${TEST_CASES[$category]}"
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conv_id="test_${category}___$(date +%s)"
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echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
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echo "📋 分类: $category"
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echo "📝 问题: $question"
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echo "⏳ 处理中..."
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echo ""
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# 调用 API
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RESPONSE=$(docker exec ai_agent curl -s -X POST 'http://localhost:8000/api/agent/query' \
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-H 'Content-Type: application/json' \
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-d "{\"conversation_id\":\"$conv_id\",\"user_id\":\"test_user\",\"account_id\":\"2\",\"message\":\"$question\"}")
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# 解析并显示结果
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echo "$RESPONSE" | python3 << PYTHON
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import json
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import sys
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try:
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data = json.load(sys.stdin)
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# 提取响应
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response = data.get("response", "")
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intent = data.get("intent", "")
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if response:
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# 清理 HTML 标签（如果有）
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import re
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clean_response = re.sub(r'<[^<]+?>', '', response)
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clean_response = clean_response.strip()
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# 截断过长响应
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if len(clean_response) > 300:
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clean_response = clean_response[:300] + "..."
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print(f"🎯 意图: {intent}")
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print(f"🤖 回答: {clean_response}")
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else:
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print("❌ 未获得回答")
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print(f"调试信息: {json.dumps(data, indent=2, ensure_ascii=False)}")
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except Exception as e:
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print(f"❌ 解析错误: {e}")
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print(f"原始响应: {sys.stdin.read()}")
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PYTHON
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echo ""
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sleep 2 # 间隔 2 秒
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done
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echo "=========================================="
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echo "✅ 所有测试完成"
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echo "=========================================="
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103
tests/test_mall_order_query.py
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tests/test_mall_order_query.py
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"""
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测试商城订单查询接口
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Usage:
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python test_mall_order_query.py <order_id>
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Example:
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python test_mall_order_query.py 202071324
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"""
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import asyncio
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import sys
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import os
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# Add mcp_servers to path
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), "mcp_servers"))
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from shared.mall_client import MallClient
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async def test_order_query(order_id: str, token: str):
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"""测试订单查询
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Args:
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order_id: 订单号
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token: JWT Token
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"""
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print(f"\n{'='*60}")
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print(f"测试商城订单查询接口")
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print(f"{'='*60}")
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print(f"订单号 (Order ID): {order_id}")
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print(f"API URL: https://apicn.qa1.gaia888.com")
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print(f"{'='*60}\n")
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# 创建客户端
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client = MallClient(
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api_url="https://apicn.qa1.gaia888.com",
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api_token=token,
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tenant_id="2",
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currency_code="EUR",
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language_id="1",
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source="us.qa1.gaia888.com"
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)
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try:
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# 调用订单查询接口
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result = await client.get_order_by_id(order_id)
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# 打印结果
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print("✅ 查询成功 (Query Success)!")
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print(f"\n返回数据 (Response Data):")
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print("-" * 60)
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import json
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print(json.dumps(result, ensure_ascii=False, indent=2))
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print("-" * 60)
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# 提取关键信息
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if isinstance(result, dict):
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print(f"\n关键信息 (Key Information):")
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print(f" 订单号 (Order ID): {result.get('order_id') or result.get('orderId') or order_id}")
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print(f" 订单状态 (Status): {result.get('status') or result.get('order_status') or 'N/A'}")
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print(f" 订单金额 (Amount): {result.get('total_amount') or result.get('amount') or 'N/A'}")
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# 商品信息
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items = result.get('items') or result.get('order_items') or result.get('products')
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if items:
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print(f" 商品数量 (Items): {len(items)}")
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except Exception as e:
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print(f"❌ 查询失败 (Query Failed): {str(e)}")
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import traceback
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traceback.print_exc()
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finally:
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await client.close()
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def main():
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"""主函数"""
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if len(sys.argv) < 2:
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print("Usage: python test_mall_order_query.py <order_id> [token]")
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print("\nExample:")
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print(' python test_mall_order_query.py 202071324')
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print(' python test_mall_order_query.py 202071324 "your_jwt_token_here"')
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sys.exit(1)
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order_id = sys.argv[1]
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# 从命令行获取 token，如果没有提供则使用默认的测试 token
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if len(sys.argv) >= 3:
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token = sys.argv[2]
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else:
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# 使用用户提供的示例 token
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token = "eyJ0eXAiOiJqd3QifQ.eyJzdWIiOiIxIiwiaXNzIjoiaHR0cDpcL1wvOiIsImV4cCI6MTc3MDUyMDY2MSwiaWF0IjoxNzY3OTI4NjYxLCJuYmYiOjE3Njc5Mjg2NjEsInVzZXJJZCI6MTAxNDMyLCJ0eXBlIjoyLCJ0ZW5hbnRJZCI6MiwidWlkIjoxMDE0MzIsInMiOiJkM0tZMjMiLCJqdGkiOiI3YjcwYTI2MzYwYjJmMzA3YmQ4YTYzNDAxOGVlNjlmZSJ9.dwiqln19-yAQSJd1w5bxZFrRgyohdAkHa1zW3W7Ov2I"
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print("⚠️ 使用默认的测试 token（可能已过期）")
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print(" 如需测试，请提供有效的 token:")
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print(f' python {sys.argv[0]} {order_id} "your_jwt_token_here"\n')
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# 运行异步测试
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asyncio.run(test_order_query(order_id, token))
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if __name__ == "__main__":
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main()
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63
tests/test_return_faq.py
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63
tests/test_return_faq.py
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"""
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测试退货相关 FAQ 回答
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"""
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import asyncio
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import sys
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import os
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# 添加 agent 目录到路径
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sys.path.insert(0, '/app')
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from agents.customer_service import customer_service_agent
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from core.state import AgentState
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async def test_return_faq():
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"""测试退货相关 FAQ"""
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# 测试问题列表
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test_questions = [
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"I received a defective item, what should I do?",
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"How do I return a product?",
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"What is your return policy?",
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"I want to get a refund for my order",
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]
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for question in test_questions:
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print(f"\n{'='*60}")
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print(f"📝 问题: {question}")
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print(f"{'='*60}")
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# 初始化状态
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state = AgentState(
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conversation_id="test_return_001",
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user_id="test_user",
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account_id="2",
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message=question,
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history=[],
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context={}
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)
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try:
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# 调用客服 Agent
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final_state = await customer_service_agent(state)
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# 获取响应
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response = final_state.get("response", "无响应")
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tool_calls = final_state.get("tool_calls", [])
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intent = final_state.get("intent")
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print(f"\n🎯 意图识别: {intent}")
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print(f"\n🤖 AI 回答:")
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print(response)
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print(f"\n📊 调用的工具: {tool_calls}")
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except Exception as e:
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print(f"\n❌ 错误: {e}")
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import traceback
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traceback.print_exc()
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if __name__ == "__main__":
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print("🧪 测试退货相关 FAQ 回答\n")
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asyncio.run(test_return_faq())
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