feat: 添加嵌入服务层和任务解析工具，重构文本嵌入逻辑

src/chat/utils/utils.py

@@ -14,8 +14,8 @@ from src.chat.message_receive.chat_manager import chat_manager as _chat_manager
 from src.chat.message_receive.message import SessionMessage
 from src.common.logger import get_logger
 from src.config.config import global_config
-from src.services.llm_service import LLMServiceClient
 from src.person_info.person_info import Person
+from src.services.embedding_service import EmbeddingServiceClient
 
 from .typo_generator import ChineseTypoGenerator
 
@@ -233,12 +233,19 @@ def is_mentioned_bot_in_message(message: SessionMessage) -> tuple[bool, bool, fl
     return is_mentioned, is_at, reply_probability
 
 
-async def get_embedding(text, request_type="embedding") -> Optional[List[float]]:
-    """获取文本的embedding向量"""
-    # 每次都创建新的服务层实例以避免事件循环冲突
-    llm = LLMServiceClient(task_name="embedding", request_type=request_type)
+async def get_embedding(text: str, request_type: str = "embedding") -> Optional[List[float]]:
+    """获取文本的嵌入向量。
+
+    Args:
+        text: 待编码的文本内容。
+        request_type: 当前请求的业务类型标识。
+
+    Returns:
+        Optional[List[float]]: 成功时返回嵌入向量，失败时返回 `None`。
+    """
+    embedding_client = EmbeddingServiceClient(task_name="embedding", request_type=request_type)
     try:
-        embedding_result = await llm.embed_text(text)
+        embedding_result = await embedding_client.embed_text(text)
         embedding = embedding_result.embedding
     except Exception as e:
         logger.error(f"获取embedding失败: {str(e)}")