diff --git a/src/plugins/PFC/pfc_processor.py b/src/plugins/PFC/pfc_processor.py
index e13ba2d0..b6e6b8b3 100644
--- a/src/plugins/PFC/pfc_processor.py
+++ b/src/plugins/PFC/pfc_processor.py
@@ -105,7 +105,7 @@ class PFCProcessor:
 
                         # 更新数据库中的对应文档
                         # 确保你有权限访问和操作 db 对象
-                        update_result = await db.messages.update_one(
+                        update_result = db.messages.update_one(
                             {"message_id": message_obj.message_info.message_id, "chat_id": chat.stream_id},
                             {"$set": {"embedding_vector": embedding_vector}}
                         )
diff --git a/src/plugins/PFC/pfc_utils.py b/src/plugins/PFC/pfc_utils.py
index 666fa6e8..2441941f 100644
--- a/src/plugins/PFC/pfc_utils.py
+++ b/src/plugins/PFC/pfc_utils.py
@@ -79,8 +79,10 @@ async def find_most_relevant_historical_message(
     ]
 
     try:
-        # 假设 db.messages 是存储PFC私聊消息并带有embedding_vector的集合
-        results = await db.messages.aggregate(pipeline).to_list(length=1)
+        # --- 确定性修改：同步执行聚合和结果转换 ---
+        cursor = db.messages.aggregate(pipeline) # PyMongo 的 aggregate 返回一个 CommandCursor
+        results = list(cursor)                   # 直接将 CommandCursor 转换为列表
+        # --- 修改结束 ---
         if results and len(results) > 0:
             most_similar_message = results[0]
             logger.info(f"[{chat_id}] (私聊历史)找到最相关消息 ID: {most_similar_message.get('message_id')}, 相似度: {most_similar_message.get('similarity'):.4f}")
@@ -109,19 +111,19 @@ async def retrieve_chat_context_window(
     logger.debug(f"[{chat_id}] (私聊历史)准备以消息 ID '{anchor_message_id}' (时间: {anchor_message_time}) 为锚点，获取上下文窗口...")
 
     try:
-        # 假设 db.messages 是存储PFC私聊消息的集合
-        anchor_message = await db.messages.find_one({"message_id": anchor_message_id, "chat_id": chat_id})
+        # --- 确定性修改：同步执行 find_one 和 find ---
+        anchor_message = db.messages.find_one({"message_id": anchor_message_id, "chat_id": chat_id})
 
         messages_before_cursor = db.messages.find(
             {"chat_id": chat_id, "time": {"$lt": anchor_message_time}}
         ).sort("time", -1).limit(window_size_before)
-        messages_before = await messages_before_cursor.to_list(length=window_size_before)
+        messages_before = list(messages_before_cursor)
         messages_before.reverse()
 
         messages_after_cursor = db.messages.find(
             {"chat_id": chat_id, "time": {"$gt": anchor_message_time}}
         ).sort("time", 1).limit(window_size_after)
-        messages_after = await messages_after_cursor.to_list(length=window_size_after)
+        messages_after = list(messages_after_cursor)
 
         if messages_before:
             context_messages.extend(messages_before)
diff --git a/src/plugins/PFC/reply_generator.py b/src/plugins/PFC/reply_generator.py
index f2f925d6..0a82bad4 100644
--- a/src/plugins/PFC/reply_generator.py
+++ b/src/plugins/PFC/reply_generator.py
@@ -66,13 +66,10 @@ PROMPT_DIRECT_REPLY = """
 最近的聊天记录：
 {chat_history_text}
 
-{retrieved_memory_str}
-
 {last_rejection_info}
 
 
 
-
 请根据上述信息，结合聊天记录，回复对方。该回复应该：
 1. 符合对话目标，以"你"的角度发言（不要自己与自己对话！）
 2. 符合你的性格特征和身份细节
@@ -108,8 +105,6 @@ PROMPT_SEND_NEW_MESSAGE = """
 最近的聊天记录：
 {chat_history_text}
 
-{retrieved_memory_str}
-
 {last_rejection_info}
 
 请根据上述信息，判断你是否要继续发一条新消息（例如对之前消息的补充，深入话题，或追问等等）。如果你觉得要发送，该消息应该：