feat(manager): 添加工具调用参数格式自动转换功能

Author: PKC278

app/agent/tools/manager.py

@@ -100,6 +100,72 @@ def get_tool(self, tool_name: str) -> Optional[Any]:
                 return tool
         return None
 
+    def _normalize_arguments(self, tool_instance: Any, arguments: Dict[str, Any]) -> Dict[str, Any]:
+        """
+        根据工具的参数schema规范化参数类型
+        
+        Args:
+            tool_instance: 工具实例
+            arguments: 原始参数
+            
+        Returns:
+            规范化后的参数
+        """
+        # 获取工具的参数schema
+        args_schema = getattr(tool_instance, 'args_schema', None)
+        if not args_schema:
+            return arguments
+        
+        # 获取schema中的字段定义
+        try:
+            schema = args_schema.model_json_schema()
+            properties = schema.get("properties", {})
+        except Exception as e:
+            logger.warning(f"获取工具schema失败: {e}")
+            return arguments
+        
+        # 规范化参数
+        normalized = {}
+        for key, value in arguments.items():
+            if key not in properties:
+                # 参数不在schema中，保持原样
+                normalized[key] = value
+                continue
+            
+            field_info = properties[key]
+            field_type = field_info.get("type")
+            
+            # 处理 anyOf 类型（例如 Optional[int] 会生成 anyOf）
+            any_of = field_info.get("anyOf")
+            if any_of and not field_type:
+                # 从 anyOf 中提取实际类型
+                for type_option in any_of:
+                    if "type" in type_option and type_option["type"] != "null":
+                        field_type = type_option["type"]
+                        break
+            
+            # 根据类型进行转换
+            if field_type == "integer" and isinstance(value, str):
+                try:
+                    normalized[key] = int(value)
+                except (ValueError, TypeError):
+                    logger.warning(f"无法将参数 {key}='{value}' 转换为整数，保持原值")
+                    normalized[key] = value
+            elif field_type == "number" and isinstance(value, str):
+                try:
+                    normalized[key] = float(value)
+                except (ValueError, TypeError):
+                    logger.warning(f"无法将参数 {key}='{value}' 转换为浮点数，保持原值")
+                    normalized[key] = value
+            elif field_type == "boolean" and isinstance(value, str):
+                # 转换字符串为布尔值
+                normalized[key] = value.lower() in ("true", "1", "yes", "on")
+            else:
+                # 其他类型保持原样
+                normalized[key] = value
+        
+        return normalized
+
     async def call_tool(self, tool_name: str, arguments: Dict[str, Any]) -> str:
         """
         调用工具
@@ -120,8 +186,11 @@ async def call_tool(self, tool_name: str, arguments: Dict[str, Any]) -> str:
             return error_msg
 
         try:
+            # 规范化参数类型
+            normalized_arguments = self._normalize_arguments(tool_instance, arguments)
+            
             # 调用工具的run方法
-            result = await tool_instance.run(**arguments)
+            result = await tool_instance.run(**normalized_arguments)
 
             # 确保返回字符串
             if isinstance(result, str):