diff --git a/src/plugins/PFC/action_planner.py b/src/plugins/PFC/action_planner.py
index df7bac51..754096a7 100644
--- a/src/plugins/PFC/action_planner.py
+++ b/src/plugins/PFC/action_planner.py
@@ -408,6 +408,10 @@ class ActionPlanner:
                         f"\n--- 以下是 {other_unread_count} 条你需要处理的新消息 ---\n{new_messages_str}\n------\n"
                     )
                     logger.debug(f"[私聊][{self.private_name}] 向 LLM 追加了 {other_unread_count} 条未读消息。")
+                else:
+                    chat_history_text += (
+                        f"\n--- 以上均为已读消息，未读消息均已处理完毕 ---\n"
+                    )
         except AttributeError as e:
             logger.warning(f"[私聊][{self.private_name}] 构建聊天记录文本时属性错误: {e}")
             chat_history_text = "[获取聊天记录时出错]\n"
diff --git a/src/plugins/PFC/pfc.py b/src/plugins/PFC/pfc.py
index b17ee21d..69f4d7eb 100644
--- a/src/plugins/PFC/pfc.py
+++ b/src/plugins/PFC/pfc.py
@@ -98,7 +98,10 @@ class GoalAnalyzer:
                 read_mark=0.0,
             )
             chat_history_text += f"\n--- 以下是 {observation_info.new_messages_count} 条新消息 ---\n{new_messages_str}"
-
+        else:
+            chat_history_text += (
+                f"\n--- 以上均为已读消息，未读消息均已处理完毕 ---\n"
+            )
             # await observation_info.clear_unprocessed_messages()
 
         persona_text = f"你的名字是{self.name}，{self.personality_info}。"
diff --git a/src/plugins/PFC/reply_generator.py b/src/plugins/PFC/reply_generator.py
index b93171ea..feba6162 100644
--- a/src/plugins/PFC/reply_generator.py
+++ b/src/plugins/PFC/reply_generator.py
@@ -175,7 +175,10 @@ class ReplyGenerator:
             chat_history_text += f"\n--- 以下是 {observation_info.new_messages_count} 条新消息 ---\n{new_messages_str}"
         elif not chat_history_text:
             chat_history_text = "还没有聊天记录。"
-
+        else:
+            chat_history_text += (
+                f"\n--- 以上均为已读消息，未读消息均已处理完毕 ---\n"
+            )
         # 构建 Persona 文本 (persona_text)
         persona_text = f"你的名字是{self.name}，{self.personality_info}。"
         retrieval_context = chat_history_text  # 使用前面构建好的 chat_history_text