Refactor message sending architecture and implement legacy driver support

- Removed UniversalMessageSender from group_generator.py and private_generator.py.
- Updated PlatformIOManager to manage legacy send drivers and ensure send pipeline readiness.
- Enhanced LegacyPlatformDriver to utilize prepared messages for sending.
- Refactored send_service to unify message sending logic and integrate with Platform IO.
- Added regression tests for Platform IO legacy driver and send service functionality.

src/chat/replyer/group_generator.py

@@ -17,7 +17,6 @@ from maim_message import BaseMessageInfo, MessageBase, Seg, UserInfo as MaimUser
 from src.common.data_models.mai_message_data_model import MaiMessage
 from src.chat.message_receive.message import SessionMessage
 from src.chat.message_receive.chat_manager import BotChatSession
-from src.chat.message_receive.uni_message_sender import UniversalMessageSender
 from src.chat.utils.timer_calculator import Timer  # <--- Import Timer
 from src.chat.utils.utils import get_bot_account, get_chat_type_and_target_info, is_bot_self
 from src.prompt.prompt_manager import prompt_manager
@@ -51,10 +50,15 @@ class DefaultReplyer:
         chat_stream: BotChatSession,
         request_type: str = "replyer",
     ):
+        """初始化群聊回复器。
+
+        Args:
+            chat_stream: 当前绑定的聊天会话。
+            request_type: LLM 请求类型标识。
+        """
         self.express_model = LLMRequest(model_set=model_config.model_task_config.replyer, request_type=request_type)
         self.chat_stream = chat_stream
         self.is_group_chat, self.chat_target_info = get_chat_type_and_target_info(self.chat_stream.session_id)
-        self.heart_fc_sender = UniversalMessageSender()
 
         from src.chat.tool_executor import ToolExecutor
 

src/chat/replyer/private_generator.py

@@ -16,7 +16,6 @@ from maim_message import BaseMessageInfo, MessageBase, Seg, UserInfo as MaimUser
 from src.common.data_models.mai_message_data_model import MaiMessage
 from src.chat.message_receive.message import SessionMessage
 from src.chat.message_receive.chat_manager import BotChatSession
-from src.chat.message_receive.uni_message_sender import UniversalMessageSender
 from src.chat.utils.timer_calculator import Timer
 from src.chat.utils.utils import get_bot_account, get_chat_type_and_target_info, is_bot_self
 from src.prompt.prompt_manager import prompt_manager
@@ -47,10 +46,15 @@ class PrivateReplyer:
         chat_stream: BotChatSession,
         request_type: str = "replyer",
     ):
+        """初始化私聊回复器。
+
+        Args:
+            chat_stream: 当前绑定的聊天会话。
+            request_type: LLM 请求类型标识。
+        """
         self.express_model = LLMRequest(model_set=model_config.model_task_config.replyer, request_type=request_type)
         self.chat_stream = chat_stream
         self.is_group_chat, self.chat_target_info = get_chat_type_and_target_info(self.chat_stream.session_id)
-        self.heart_fc_sender = UniversalMessageSender()
         # self.memory_activator = MemoryActivator()
 
         from src.chat.tool_executor import ToolExecutor