remove：移除tool_use模型，修复Jargon提取问题，修改统计为tool统计

src/common/data_models/message_component_data_model.py

@@ -348,17 +348,11 @@ class MessageSequence:
         if isinstance(item, TextComponent):
             return {"type": "text", "data": item.text}
         elif isinstance(item, ImageComponent):
-            if not item.content:
-                raise RuntimeError("ImageComponent content 未初始化")
-            return {"type": "image", "data": item.content, "hash": item.binary_hash}
+            return {"type": "image", "data": self._ensure_binary_component_content(item, "[图片]"), "hash": item.binary_hash}
         elif isinstance(item, EmojiComponent):
-            if not item.content:
-                raise RuntimeError("EmojiComponent content 未初始化")
-            return {"type": "emoji", "data": item.content, "hash": item.binary_hash}
+            return {"type": "emoji", "data": self._ensure_binary_component_content(item, "[表情包]"), "hash": item.binary_hash}
         elif isinstance(item, VoiceComponent):
-            if not item.content:
-                raise RuntimeError("VoiceComponent content 未初始化")
-            return {"type": "voice", "data": item.content, "hash": item.binary_hash}
+            return {"type": "voice", "data": self._ensure_binary_component_content(item, "[语音消息]"), "hash": item.binary_hash}
         elif isinstance(item, AtComponent):
             return {
                 "type": "at",
@@ -388,6 +382,14 @@ class MessageSequence:
             logger.warning(f"Unofficial component type: {type(item)}, defaulting to DictComponent")
             return {"type": "dict", "data": item.data}
 
+    @staticmethod
+    def _ensure_binary_component_content(item: ByteComponent, fallback_text: str) -> str:
+        """确保二进制组件在序列化时带有稳定的文本占位。"""
+        if item.content:
+            return item.content
+        item.content = fallback_text
+        return item.content
+
     @classmethod
     def _dict_2_item(cls, item: Dict[str, Any]) -> StandardMessageComponents:
         """内部方法：将单个消息组件的字典格式转换回组件对象"""

src/common/data_models/tool_record_data_model.py

@@ -0,0 +1,59 @@
+from datetime import datetime
+from typing import Dict, Optional
+
+import json
+
+from src.common.database.database_model import ToolRecord
+
+from . import BaseDatabaseDataModel
+
+
+class MaiToolRecord(BaseDatabaseDataModel[ToolRecord]):
+    """工具调用记录数据模型。"""
+
+    def __init__(
+        self,
+        tool_id: str,
+        timestamp: datetime,
+        session_id: str,
+        tool_name: str,
+        tool_reasoning: Optional[str] = None,
+        tool_data: Optional[Dict] = None,
+        tool_builtin_prompt: Optional[str] = None,
+        tool_display_prompt: Optional[str] = None,
+    ):
+        self.tool_id = tool_id
+        self.timestamp = timestamp
+        self.session_id = session_id
+        self.tool_name = tool_name
+        self.tool_reasoning = tool_reasoning
+        self.tool_data = tool_data or {}
+        self.tool_builtin_prompt = tool_builtin_prompt
+        self.tool_display_prompt = tool_display_prompt
+
+    @classmethod
+    def from_db_instance(cls, db_record: ToolRecord):
+        """从数据库实例创建数据模型对象。"""
+        return cls(
+            tool_id=db_record.tool_id,
+            timestamp=db_record.timestamp,
+            session_id=db_record.session_id,
+            tool_name=db_record.tool_name,
+            tool_reasoning=db_record.tool_reasoning,
+            tool_data=json.loads(db_record.tool_data) if db_record.tool_data else None,
+            tool_builtin_prompt=db_record.tool_builtin_prompt,
+            tool_display_prompt=db_record.tool_display_prompt,
+        )
+
+    def to_db_instance(self):
+        """将数据模型对象转换为数据库实例。"""
+        return ToolRecord(
+            tool_id=self.tool_id,
+            timestamp=self.timestamp,
+            session_id=self.session_id,
+            tool_name=self.tool_name,
+            tool_reasoning=self.tool_reasoning,
+            tool_data=json.dumps(self.tool_data) if self.tool_data else None,
+            tool_builtin_prompt=self.tool_builtin_prompt,
+            tool_display_prompt=self.tool_display_prompt,
+        )