diff --git a/dsLightRag/Volcengine/Kit/__pycache__/VikingDBMemoryService.cpython-310.pyc b/dsLightRag/Volcengine/Kit/__pycache__/VikingDBMemoryService.cpython-310.pyc
index 9f9f8e53..2f61a84a 100644
Binary files a/dsLightRag/Volcengine/Kit/__pycache__/VikingDBMemoryService.cpython-310.pyc and b/dsLightRag/Volcengine/Kit/__pycache__/VikingDBMemoryService.cpython-310.pyc differ
diff --git a/dsLightRag/Volcengine/T3_ChatWithMemory.py b/dsLightRag/Volcengine/T3_ChatWithMemory.py
index 6df47877..7538b99e 100644
--- a/dsLightRag/Volcengine/T3_ChatWithMemory.py
+++ b/dsLightRag/Volcengine/T3_ChatWithMemory.py
@@ -16,28 +16,27 @@ if not logger.handlers:
     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"
-        assistant_id = "assistant"
-        
+        user_id = "liming"  # 用户李明
+        assistant_id = "assistant"  # 助手ID:助手
+
         # 告知大模型用户信息
         logger.info("告知大模型用户信息...")
         user_info = "李明，男生，15岁，家住长春"
-        
+
         # 记录信息到记忆体
         logger.info("记录用户信息到记忆体...")
-        
+
         # 准备对话历史
         conversation_history = []
-        
+
         # 使用正确的handle_conversation_turn方法参数
         response = handle_conversation_turn(
             memory_service=memory_service,
@@ -47,9 +46,9 @@ def main():
             user_message=f"请记住以下用户信息：{user_info}",
             conversation_history=conversation_history
         )
-        
+
         logger.info(f"模型回复: {response}")
-        
+
         # 归档对话
         archive_conversation(
             memory_service=memory_service,
@@ -59,15 +58,15 @@ def main():
             conversation_history=conversation_history,
             topic_name="user_info"
         )
-        
+
         # 等待一段时间确保索引更新
         logger.info("等待索引更新...")
         time.sleep(5)
-        
+
         # 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,
@@ -76,22 +75,23 @@ def main():
             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(
@@ -100,13 +100,13 @@ def main():
                 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()
\ No newline at end of file
+    main()
diff --git a/dsLightRag/Volcengine/T4_OnlyChatWithMemory.py b/dsLightRag/Volcengine/T4_OnlyChatWithMemory.py
new file mode 100644
index 00000000..e5325f3c
--- /dev/null
+++ b/dsLightRag/Volcengine/T4_OnlyChatWithMemory.py
@@ -0,0 +1,77 @@
+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()
\ No newline at end of file