重构ChatStream和StreamContext：移除context_manager引用

- 在ChatStream及相关类中，将所有context_manager的实例替换为直接上下文访问。
- 更新方法，利用新的上下文结构来管理聊天状态和消息。
- 增强的StreamContext，增加了用于消息处理、统计和历史管理的方法。
- 在重构过程中改进了错误处理和日志记录。

src/plugins/built_in/affinity_flow_chatter/planner/plan_executor.py

@@ -477,7 +477,7 @@ class ChatterPlanExecutor:
             )
 
             # 添加到chat_stream的已读消息中
-            chat_stream.context_manager.context.history_messages.append(bot_message)
+            chat_stream.context.history_messages.append(bot_message)
             logger.debug(f"机器人回复已添加到已读消息: {reply_content[:50]}...")
 
         except Exception as e:

src/plugins/built_in/affinity_flow_chatter/planner/plan_filter.py

@@ -169,7 +169,7 @@ class ChatterPlanFilter:
                 logger.debug("尝试添加空的决策历史，已跳过")
                 return
 
-            context = chat_stream.context_manager.context
+            context = chat_stream.context
             new_record = DecisionRecord(thought=thought, action=action)
 
             # 添加新记录
@@ -204,7 +204,7 @@ class ChatterPlanFilter:
             if not chat_stream:
                 return ""
 
-            context = chat_stream.context_manager.context
+            context = chat_stream.context
             if not context.decision_history:
                 return ""
 
@@ -344,7 +344,7 @@ class ChatterPlanFilter:
                 logger.warning(f"[plan_filter] 聊天流 {plan.chat_id} 不存在")
                 return "最近没有聊天内容。", "没有未读消息。", []
 
-            stream_context = chat_stream.context_manager
+            stream_context = chat_stream.context
 
             # 获取真正的已读和未读消息
             read_messages = (

src/plugins/built_in/affinity_flow_chatter/planner/planner.py

@@ -599,7 +599,7 @@ class ChatterActionPlanner:
             if chat_manager:
                 chat_stream = await chat_manager.get_stream(context.stream_id)
                 if chat_stream:
-                    chat_stream.context_manager.context.chat_mode = context.chat_mode
+                    chat_stream.context.chat_mode = context.chat_mode
                     chat_stream.saved = False  # 标记需要保存
                     logger.debug(f"已同步chat_mode {context.chat_mode.value} 到ChatStream {context.stream_id}")
         except Exception as e:

src/plugins/built_in/affinity_flow_chatter/proactive/proactive_thinking_executor.py

@@ -564,7 +564,7 @@ async def execute_proactive_thinking(stream_id: str):
                 chat_manager = get_chat_manager()
                 chat_stream = await chat_manager.get_stream(stream_id)
 
-                if chat_stream and chat_stream.context_manager.context.is_chatter_processing:
+                if chat_stream and chat_stream.context.is_chatter_processing:
                     logger.warning(f"⚠️ 主动思考跳过：聊天流 {stream_id} 的 chatter 正在处理消息")
                     return
             except Exception as e:

src/plugins/built_in/social_toolkit_plugin/plugin.py

@@ -61,7 +61,7 @@ class ReminderTask(AsyncTask):
             logger.info(f"执行提醒任务: 给 {self.target_user_name} 发送关于 '{self.event_details}' 的提醒")
 
             extra_info = f"现在是提醒时间，请你以一种符合你人设的、俏皮的方式提醒 {self.target_user_name}。\n提醒内容: {self.event_details}\n设置提醒的人: {self.creator_name}"
-            last_message = self.chat_stream.context_manager.context.get_last_message()
+            last_message = self.chat_stream.context.get_last_message()
             reply_message_dict = last_message.flatten() if last_message else None
             success, reply_set, _ = await generator_api.generate_reply(
                 chat_stream=self.chat_stream,
@@ -523,7 +523,7 @@ class RemindAction(BaseAction):
 
             # 4. 生成并发送确认消息
             extra_info = f"你已经成功设置了一个提醒，请以一种符合你人设的、俏皮的方式回复用户。\n提醒时间: {target_time.strftime('%Y-%m-%d %H:%M:%S')}\n提醒对象: {user_name_to_remind}\n提醒内容: {event_details}"
-            last_message = self.chat_stream.context_manager.context.get_last_message()
+            last_message = self.chat_stream.context.get_last_message()
             reply_message_dict = last_message.flatten() if last_message else None
             success, reply_set, _ = await generator_api.generate_reply(
                 chat_stream=self.chat_stream,

src/plugins/built_in/tts_plugin/plugin.py

@@ -54,7 +54,7 @@ class TTSAction(BaseAction):
 
         success, response_set, _ = await generate_reply(
             chat_stream=self.chat_stream,
-            reply_message=self.chat_stream.context_manager.context.get_last_message(),
+            reply_message=self.chat_stream.context.get_last_message(),
             enable_tool=global_config.tool.enable_tool,
             request_type="chat.tts",
             from_plugin=False,