import logging import sys import time from Volcengine.Kit.VikingDBMemoryService import MEMORY_COLLECTION_NAME, initialize_services, \ handle_conversation_turn, archive_conversation # 控制日志输出 logger = logging.getLogger('ChatWithMemory') logger.setLevel(logging.INFO) # 只添加一次处理器,避免重复日志 if not logger.handlers: handler = logging.StreamHandler() handler.setFormatter(logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')) logger.addHandler(handler) def main(): logger.info("开始测试大模型记忆功能...") try: # 使用initialize_services函数初始化服务和LLM客户端 memory_service, llm_client = initialize_services() collection_name = MEMORY_COLLECTION_NAME user_id = "liming" # 用户李明 assistant_id = "assistant" # 助手ID:助手 # 验证大模型是否记住个人信息 logger.info("验证大模型是否记住个人信息...") test_conversation_history = [] test_response = handle_conversation_turn( memory_service=memory_service, llm_client=llm_client, collection_name=collection_name, user_id=user_id, user_message="请告诉我李明的个人信息", conversation_history=test_conversation_history ) logger.info(f"测试回复: {test_response}") # 检查回复中是否包含关键信息 keywords = ["李明", "男", "15", "长春"] found_keywords = [kw for kw in keywords if kw in test_response] if len(found_keywords) == len(keywords): logger.info("✅ 大模型成功记住了用户信息!") else: logger.info(f"❌ 大模型可能没有完全记住用户信息。找到的关键词: {found_keywords}") # 尝试直接搜索记忆 logger.info("尝试直接搜索记忆...") filter_params = { "user_id": [user_id], "assistant_id": assistant_id, # 添加这一行 "memory_type": ["sys_event_v1", "sys_profile_v1"] } search_result = memory_service.search_memory( collection_name=collection_name, query="李明 15岁 长春 男生", filter=filter_params, limit=5 ) logger.info(f"搜索结果: {search_result}") except Exception as e: logger.error(f"操作失败: {e}") sys.exit(1) if __name__ == "__main__": main()