better：对replyer进行深度优化

src/chat/replyer/lpmm_prompt.py

@@ -0,0 +1,53 @@
+import traceback
+import time
+import asyncio
+import random
+import re
+
+from typing import List, Optional, Dict, Any, Tuple
+from datetime import datetime
+from src.mais4u.mai_think import mai_thinking_manager
+from src.common.logger import get_logger
+from src.common.data_models.database_data_model import DatabaseMessages
+from src.common.data_models.info_data_model import ActionPlannerInfo
+from src.common.data_models.llm_data_model import LLMGenerationDataModel
+from src.config.config import global_config, model_config
+from src.llm_models.utils_model import LLMRequest
+from src.chat.message_receive.message import UserInfo, Seg, MessageRecv, MessageSending
+from src.chat.message_receive.chat_stream import ChatStream
+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_chat_type_and_target_info
+from src.chat.utils.prompt_builder import Prompt, global_prompt_manager
+from src.chat.utils.chat_message_builder import (
+    build_readable_messages,
+    get_raw_msg_before_timestamp_with_chat,
+    replace_user_references,
+)
+from src.chat.express.expression_selector import expression_selector
+# from src.chat.memory_system.memory_activator import MemoryActivator
+from src.mood.mood_manager import mood_manager
+from src.person_info.person_info import Person, is_person_known
+from src.plugin_system.base.component_types import ActionInfo, EventType
+from src.plugin_system.apis import llm_api
+
+
+
+def init_lpmm_prompt():
+    Prompt(
+        """
+你是一个专门获取知识的助手。你的名字是{bot_name}。现在是{time_now}。
+群里正在进行的聊天内容：
+{chat_history}
+
+现在，{sender}发送了内容:{target_message},你想要回复ta。
+请仔细分析聊天内容，考虑以下几点：
+1. 内容中是否包含需要查询信息的问题
+2. 是否有明确的知识获取指令
+
+If you need to use the search tool, please directly call the function "lpmm_search_knowledge". If you do not need to use any tool, simply output "No tool needed".
+""",
+        name="lpmm_get_knowledge_prompt",
+    )
+    
+