diff --git a/src/plugins/PFC/action_planner.py b/src/plugins/PFC/action_planner.py
index ec5eb8a8d..7082e281e 100644
--- a/src/plugins/PFC/action_planner.py
+++ b/src/plugins/PFC/action_planner.py
@@ -243,10 +243,10 @@ class ActionPlanner:
                         knowledge_info_str += f"{i+1}. 关于 '{query}' 的知识 (来源: {source}):\n   {knowledge_snippet}\n"
                     else:
                         # 处理列表里不是字典的异常情况
-                        knowledge_info_str += f"{i+1}. 发现一条格式不正确的知识记录。\n"
+                        knowledge_info_str += f"{i + 1}. 发现一条格式不正确的知识记录。\n"
 
-                if not recent_knowledge: # 如果 knowledge_list 存在但为空
-                     knowledge_info_str += "- 暂无相关知识和记忆。\n"
+                if not recent_knowledge:  # 如果 knowledge_list 存在但为空
+                    knowledge_info_str += "- 暂无相关知识和记忆。\n"
 
             else:
                 # 如果 conversation_info 没有 knowledge_list 属性，或者列表为空
@@ -259,7 +259,6 @@ class ActionPlanner:
             knowledge_info_str += "- 处理知识列表时出错。\n"
         # --- 知识信息字符串构建结束 ---
 
-
         # 获取聊天历史记录 (chat_history_text)
         chat_history_text = ""
         try:
@@ -385,7 +384,7 @@ class ActionPlanner:
             time_since_last_bot_message_info=time_since_last_bot_message_info,
             timeout_context=timeout_context,
             chat_history_text=chat_history_text if chat_history_text.strip() else "还没有聊天记录。",
-            knowledge_info_str=knowledge_info_str
+            knowledge_info_str=knowledge_info_str,
         )
 
         logger.debug(f"[私聊][{self.private_name}]发送到LLM的最终提示词:\n------\n{prompt}\n------")
diff --git a/src/plugins/PFC/reply_generator.py b/src/plugins/PFC/reply_generator.py
index 3de22fcf6..f5e7c1e67 100644
--- a/src/plugins/PFC/reply_generator.py
+++ b/src/plugins/PFC/reply_generator.py
@@ -146,14 +146,16 @@ class ReplyGenerator:
                 recent_knowledge = conversation_info.knowledge_list[-3:]
                 for i, knowledge_item in enumerate(recent_knowledge):
                     if isinstance(knowledge_item, dict):
-                        query = knowledge_item.get('query', '未知查询')
-                        knowledge = knowledge_item.get('knowledge', '无知识内容')
-                        source = knowledge_item.get('source', '未知来源')
+                        query = knowledge_item.get("query", "未知查询")
+                        knowledge = knowledge_item.get("knowledge", "无知识内容")
+                        source = knowledge_item.get("source", "未知来源")
                         # 只取知识内容的前 150 个字
                         knowledge_snippet = knowledge[:150] + "..." if len(knowledge) > 150 else knowledge
-                        knowledge_info_str += f"{i+1}. 关于 '{query}' (来源: {source}): {knowledge_snippet}\n" # 格式微调，更简洁
+                        knowledge_info_str += (
+                            f"{i + 1}. 关于 '{query}' (来源: {source}): {knowledge_snippet}\n"  # 格式微调，更简洁
+                        )
                     else:
-                        knowledge_info_str += f"{i+1}. 发现一条格式不正确的知识记录。\n"
+                        knowledge_info_str += f"{i + 1}. 发现一条格式不正确的知识记录。\n"
 
                 if not recent_knowledge:
                     knowledge_info_str += "- 暂无。\n" # 更简洁的提示
@@ -165,7 +167,7 @@ class ReplyGenerator:
             knowledge_info_str += "- 获取知识列表时出错。\n"
         except Exception as e:
             logger.error(f"[私聊][{self.private_name}]构建知识信息字符串时出错: {e}")
-            knowledge_info_str += "- 处理知识列表时出错。\n" 
+            knowledge_info_str += "- 处理知识列表时出错。\n"
 
         # 获取聊天历史记录 (chat_history_text)
         chat_history_text = observation_info.chat_history_str
@@ -199,9 +201,9 @@ class ReplyGenerator:
         # --- 格式化最终的 Prompt ---
         prompt = prompt_template.format(
             persona_text=persona_text,
-            goals_str=goals_str, 
+            goals_str=goals_str,
             chat_history_text=chat_history_text,
-            knowledge_info_str=knowledge_info_str
+            knowledge_info_str=knowledge_info_str,
         )
 
         # --- 调用 LLM 生成 ---