diff --git a/pilot/scene/chat_knowledge/refine_summary/chat.py b/pilot/scene/chat_knowledge/refine_summary/chat.py
index 3f07ebb5d..877517737 100644
--- a/pilot/scene/chat_knowledge/refine_summary/chat.py
+++ b/pilot/scene/chat_knowledge/refine_summary/chat.py
@@ -12,7 +12,7 @@ CFG = Config()
 class ExtractRefineSummary(BaseChat):
     chat_scene: str = ChatScene.ExtractRefineSummary.value()
 
-    """get summary by llm"""
+    """extract final summary by llm"""
 
     def __init__(self, chat_param: Dict):
         """ """
@@ -43,7 +43,7 @@ class ExtractRefineSummary(BaseChat):
         yield last_output
 
     def stream_call_reinforce_fn(self, text):
-        """return reference"""
+        """return summary label"""
         return f"<summary>{text}</summary>"
 
     @property
diff --git a/pilot/scene/chat_knowledge/refine_summary/prompt.py b/pilot/scene/chat_knowledge/refine_summary/prompt.py
index d5654ea90..6898db5cd 100644
--- a/pilot/scene/chat_knowledge/refine_summary/prompt.py
+++ b/pilot/scene/chat_knowledge/refine_summary/prompt.py
@@ -10,7 +10,8 @@ from pilot.scene.chat_knowledge.refine_summary.out_parser import (
 CFG = Config()
 
 
-PROMPT_SCENE_DEFINE = """"""
+PROMPT_SCENE_DEFINE = """A chat between a curious user and an artificial intelligence assistant, who very familiar with database related knowledge. 
+The assistant gives helpful, detailed, professional and polite answers to the user's questions."""
 
 _DEFAULT_TEMPLATE_ZH = """根据提供的上下文信息，我们已经提供了一个到某一点的现有总结:{existing_answer}\n 请根据你之前推理的内容进行最终的总结,并且总结回答的时候最好按照1.2.3.进行总结."""
 
@@ -43,3 +44,4 @@ prompt = PromptTemplate(
 )
 
 CFG.prompt_template_registry.register(prompt, is_default=True)
+from ..v1 import prompt_chatglm
\ No newline at end of file
diff --git a/pilot/scene/chat_knowledge/summary/out_parser.py b/pilot/scene/chat_knowledge/summary/out_parser.py
index 5626d0d4a..b4a81d9cf 100644
--- a/pilot/scene/chat_knowledge/summary/out_parser.py
+++ b/pilot/scene/chat_knowledge/summary/out_parser.py
@@ -26,3 +26,28 @@ class ExtractSummaryParser(BaseOutputParser):
     def parse_view_response(self, speak, data) -> str:
         ### tool out data to table view
         return data
+    def parse_model_nostream_resp(self, response: ResponseTye, sep: str) -> str:
+        ### tool out data to table view
+        resp_obj_ex = _parse_model_response(response)
+        if isinstance(resp_obj_ex, str):
+            resp_obj_ex = json.loads(resp_obj_ex)
+        if resp_obj_ex["error_code"] == 0:
+            all_text = resp_obj_ex["text"]
+            tmp_resp = all_text.split(sep)
+            last_index = -1
+            for i in range(len(tmp_resp)):
+                if tmp_resp[i].find("assistant:") != -1:
+                    last_index = i
+            ai_response = tmp_resp[last_index]
+            ai_response = ai_response.replace("assistant:", "")
+            ai_response = ai_response.replace("Assistant:", "")
+            ai_response = ai_response.replace("ASSISTANT:", "")
+            ai_response = ai_response.replace("\_", "_")
+            ai_response = ai_response.replace("\*", "*")
+            ai_response = ai_response.replace("\t", "")
+
+            ai_response = ai_response.strip().replace("\\n", " ").replace("\n", " ")
+            print("un_stream ai response:", ai_response)
+            return ai_response
+        else:
+            raise ValueError("Model server error!code=" + resp_obj_ex["error_code"])
diff --git a/pilot/scene/chat_knowledge/summary/prompt.py b/pilot/scene/chat_knowledge/summary/prompt.py
index 979d5001b..224e7f073 100644
--- a/pilot/scene/chat_knowledge/summary/prompt.py
+++ b/pilot/scene/chat_knowledge/summary/prompt.py
@@ -9,7 +9,8 @@ CFG = Config()
 
 # PROMPT_SCENE_DEFINE = """You are an expert Q&A system that is trusted around the world.\nAlways answer the query using the provided context information, and not prior knowledge.\nSome rules to follow:\n1. Never directly reference the given context in your answer.\n2. Avoid statements like 'Based on the context, ...' or 'The context information ...' or anything along those lines."""
 
-PROMPT_SCENE_DEFINE = """"""
+PROMPT_SCENE_DEFINE = """A chat between a curious user and an artificial intelligence assistant, who very familiar with database related knowledge. 
+The assistant gives helpful, detailed, professional and polite answers to the user's questions."""
 
 _DEFAULT_TEMPLATE_ZH = """请根据提供的上下文信息的进行精简地总结:
 {context}
@@ -49,3 +50,4 @@ prompt = PromptTemplate(
 )
 
 CFG.prompt_template_registry.register(prompt, is_default=True)
+from ..v1 import prompt_chatglm
\ No newline at end of file
diff --git a/pilot/server/knowledge/service.py b/pilot/server/knowledge/service.py
index 5a3727169..7fa8c09e8 100644
--- a/pilot/server/knowledge/service.py
+++ b/pilot/server/knowledge/service.py
@@ -547,7 +547,7 @@ class KnowledgeService:
 
         chat_param = {
             "chat_session_id": conn_uid,
-            "current_user_input": "summary",
+            "current_user_input": "",
             "select_param": doc,
             "model_name": model_name,
         }
@@ -592,7 +592,7 @@ class KnowledgeService:
             for doc in docs[0:max_iteration]:
                 chat_param = {
                     "chat_session_id": uuid.uuid1(),
-                    "current_user_input": "summary",
+                    "current_user_input": "",
                     "select_param": doc,
                     "model_name": model_name,
                 }