update:统一工具注册及调用

main/xiaozhi-server/core/tools/__init__.py

@@ -0,0 +1 @@
+ 

main/xiaozhi-server/core/tools/base/__init__.py

@@ -0,0 +1,6 @@
+"""基础工具定义模块"""
+
+from .tool_types import ToolType, ToolAction, ToolResult, ToolDefinition
+from .tool_executor import ToolExecutor
+
+__all__ = ["ToolType", "ToolAction", "ToolResult", "ToolDefinition", "ToolExecutor"]

main/xiaozhi-server/core/tools/base/tool_executor.py

@@ -0,0 +1,26 @@
+"""工具执行器基类定义"""
+
+from abc import ABC, abstractmethod
+from typing import Dict, Any
+from .tool_types import ToolDefinition, ToolResult
+
+
+class ToolExecutor(ABC):
+    """工具执行器抽象基类"""
+
+    @abstractmethod
+    async def execute(
+        self, conn, tool_name: str, arguments: Dict[str, Any]
+    ) -> ToolResult:
+        """执行工具调用"""
+        pass
+
+    @abstractmethod
+    def get_tools(self) -> Dict[str, ToolDefinition]:
+        """获取该执行器管理的所有工具"""
+        pass
+
+    @abstractmethod
+    def has_tool(self, tool_name: str) -> bool:
+        """检查是否有指定工具"""
+        pass

main/xiaozhi-server/core/tools/base/tool_types.py

@@ -0,0 +1,45 @@
+"""工具系统的类型定义"""
+
+from enum import Enum
+from dataclasses import dataclass
+from typing import Any, Dict, Optional, Callable, Awaitable
+from abc import ABC, abstractmethod
+
+
+class ToolType(Enum):
+    """工具类型枚举"""
+
+    SERVER_PLUGIN = "server_plugin"  # 服务端插件
+    SERVER_MCP = "server_mcp"  # 服务端MCP
+    DEVICE_IOT = "device_iot"  # 设备端IoT
+    DEVICE_MCP = "device_mcp"  # 设备端MCP
+
+
+class ToolAction(Enum):
+    """工具执行后的动作类型"""
+
+    ERROR = "error"  # 错误
+    NOT_FOUND = "not_found"  # 工具未找到
+    RESPONSE = "response"  # 直接回复
+    REQUEST_LLM = "request_llm"  # 需要LLM处理
+    NONE = "none"  # 无需特殊处理
+
+
+@dataclass
+class ToolResult:
+    """工具执行结果"""
+
+    action: ToolAction
+    content: str  # 结果内容
+    response: Optional[str] = None  # 直接回复内容
+    error: Optional[str] = None  # 错误信息
+
+
+@dataclass
+class ToolDefinition:
+    """工具定义"""
+
+    name: str  # 工具名称
+    description: Dict[str, Any]  # 工具描述（OpenAI函数调用格式）
+    tool_type: ToolType  # 工具类型
+    parameters: Optional[Dict[str, Any]] = None  # 额外参数

main/xiaozhi-server/core/tools/device_iot/__init__.py

@@ -0,0 +1,12 @@
+"""设备端IoT工具模块"""
+
+from .iot_descriptor import IotDescriptor
+from .iot_handler import handleIotDescriptors, handleIotStatus
+from .iot_executor import DeviceIoTExecutor
+
+__all__ = [
+    "IotDescriptor",
+    "handleIotDescriptors",
+    "handleIotStatus",
+    "DeviceIoTExecutor",
+]

main/xiaozhi-server/core/tools/device_iot/iot_descriptor.py

@@ -0,0 +1,46 @@
+"""IoT设备描述符定义"""
+
+from config.logger import setup_logging
+
+TAG = __name__
+logger = setup_logging()
+
+
+class IotDescriptor:
+    """IoT设备描述符"""
+
+    def __init__(self, name, description, properties, methods):
+        self.name = name
+        self.description = description
+        self.properties = []
+        self.methods = []
+
+        # 根据描述创建属性
+        if properties is not None:
+            for key, value in properties.items():
+                property_item = {}
+                property_item["name"] = key
+                property_item["description"] = value["description"]
+                if value["type"] == "number":
+                    property_item["value"] = 0
+                elif value["type"] == "boolean":
+                    property_item["value"] = False
+                else:
+                    property_item["value"] = ""
+                self.properties.append(property_item)
+
+        # 根据描述创建方法
+        if methods is not None:
+            for key, value in methods.items():
+                method = {}
+                method["description"] = value["description"]
+                method["name"] = key
+                # 检查方法是否有参数
+                if "parameters" in value:
+                    method["parameters"] = {}
+                    for k, v in value["parameters"].items():
+                        method["parameters"][k] = {
+                            "description": v["description"],
+                            "type": v["type"],
+                        }
+                self.methods.append(method)

main/xiaozhi-server/core/tools/device_iot/iot_executor.py

@@ -0,0 +1,243 @@
+"""设备端IoT工具执行器"""
+
+import json
+import asyncio
+from typing import Dict, Any
+from ..base import ToolType, ToolDefinition, ToolResult, ToolExecutor, ToolAction
+
+
+class DeviceIoTExecutor(ToolExecutor):
+    """设备端IoT工具执行器"""
+
+    def __init__(self, conn):
+        self.conn = conn
+        self.iot_tools: Dict[str, ToolDefinition] = {}
+
+    async def execute(
+        self, conn, tool_name: str, arguments: Dict[str, Any]
+    ) -> ToolResult:
+        """执行设备端IoT工具"""
+        if not self.has_tool(tool_name):
+            return ToolResult(
+                action=ToolAction.NOT_FOUND, content=f"IoT工具 {tool_name} 不存在"
+            )
+
+        try:
+            # 解析工具名称，获取设备名和操作类型
+            if tool_name.startswith("get_"):
+                # 查询操作：get_devicename_property
+                parts = tool_name.split("_", 2)
+                if len(parts) >= 3:
+                    device_name = parts[1]
+                    property_name = parts[2]
+
+                    value = await self._get_iot_status(device_name, property_name)
+                    if value is not None:
+                        # 处理响应模板
+                        response_success = arguments.get(
+                            "response_success", "查询成功：{value}"
+                        )
+                        response = response_success.replace("{value}", str(value))
+
+                        return ToolResult(
+                            action=ToolAction.RESPONSE,
+                            content=str(value),
+                            response=response,
+                        )
+                    else:
+                        response_failure = arguments.get(
+                            "response_failure", f"无法获取{device_name}的状态"
+                        )
+                        return ToolResult(
+                            action=ToolAction.ERROR,
+                            content=f"属性{property_name}不存在",
+                            error=response_failure,
+                        )
+            else:
+                # 控制操作：devicename_method
+                parts = tool_name.split("_", 1)
+                if len(parts) >= 2:
+                    device_name = parts[0]
+                    method_name = parts[1]
+
+                    # 提取控制参数（排除响应参数）
+                    control_params = {
+                        k: v
+                        for k, v in arguments.items()
+                        if k not in ["response_success", "response_failure"]
+                    }
+
+                    # 发送IoT控制命令
+                    await self._send_iot_command(
+                        device_name, method_name, control_params
+                    )
+
+                    # 等待状态更新
+                    await asyncio.sleep(0.1)
+
+                    response_success = arguments.get("response_success", "操作成功")
+
+                    # 处理响应中的占位符
+                    for param_name, param_value in control_params.items():
+                        placeholder = "{" + param_name + "}"
+                        if placeholder in response_success:
+                            response_success = response_success.replace(
+                                placeholder, str(param_value)
+                            )
+                        if "{value}" in response_success:
+                            response_success = response_success.replace(
+                                "{value}", str(param_value)
+                            )
+                            break
+
+                    return ToolResult(
+                        action=ToolAction.REQUEST_LLM,
+                        content=f"{device_name}操作执行成功，请继续处理剩余指令",
+                        response=response_success,
+                    )
+
+            return ToolResult(action=ToolAction.ERROR, content="无法解析IoT工具名称")
+
+        except Exception as e:
+            response_failure = arguments.get("response_failure", "操作失败")
+            return ToolResult(
+                action=ToolAction.ERROR, content=str(e), error=response_failure
+            )
+
+    async def _get_iot_status(self, device_name: str, property_name: str):
+        """获取IoT设备状态"""
+        for key, value in self.conn.iot_descriptors.items():
+            if key == device_name:
+                for property_item in value.properties:
+                    if property_item["name"] == property_name:
+                        return property_item["value"]
+        return None
+
+    async def _send_iot_command(
+        self, device_name: str, method_name: str, parameters: Dict[str, Any]
+    ):
+        """发送IoT控制命令"""
+        for key, value in self.conn.iot_descriptors.items():
+            if key == device_name:
+                for method in value.methods:
+                    if method["name"] == method_name:
+                        command = {
+                            "name": device_name,
+                            "method": method_name,
+                        }
+
+                        if parameters:
+                            command["parameters"] = parameters
+
+                        send_message = json.dumps(
+                            {"type": "iot", "commands": [command]}
+                        )
+                        await self.conn.websocket.send(send_message)
+                        return
+
+        raise Exception(f"未找到设备{device_name}的方法{method_name}")
+
+    def register_iot_tools(self, descriptors: list):
+        """注册IoT工具"""
+        for descriptor in descriptors:
+            device_name = descriptor["name"]
+            device_desc = descriptor["description"]
+
+            # 注册查询工具
+            if "properties" in descriptor:
+                for prop_name, prop_info in descriptor["properties"].items():
+                    tool_name = f"get_{device_name.lower()}_{prop_name.lower()}"
+
+                    tool_desc = {
+                        "type": "function",
+                        "function": {
+                            "name": tool_name,
+                            "description": f"查询{device_desc}的{prop_info['description']}",
+                            "parameters": {
+                                "type": "object",
+                                "properties": {
+                                    "response_success": {
+                                        "type": "string",
+                                        "description": f"查询成功时的友好回复，必须使用{{value}}作为占位符表示查询到的值",
+                                    },
+                                    "response_failure": {
+                                        "type": "string",
+                                        "description": f"查询失败时的友好回复",
+                                    },
+                                },
+                                "required": ["response_success", "response_failure"],
+                            },
+                        },
+                    }
+
+                    self.iot_tools[tool_name] = ToolDefinition(
+                        name=tool_name,
+                        description=tool_desc,
+                        tool_type=ToolType.DEVICE_IOT,
+                    )
+
+            # 注册控制工具
+            if "methods" in descriptor:
+                for method_name, method_info in descriptor["methods"].items():
+                    tool_name = f"{device_name.lower()}_{method_name.lower()}"
+
+                    # 构建参数
+                    parameters = {}
+                    required_params = []
+
+                    # 添加方法的原始参数
+                    if "parameters" in method_info:
+                        parameters.update(
+                            {
+                                param_name: {
+                                    "type": param_info["type"],
+                                    "description": param_info["description"],
+                                }
+                                for param_name, param_info in method_info[
+                                    "parameters"
+                                ].items()
+                            }
+                        )
+                        required_params.extend(method_info["parameters"].keys())
+
+                    # 添加响应参数
+                    parameters.update(
+                        {
+                            "response_success": {
+                                "type": "string",
+                                "description": "操作成功时的友好回复",
+                            },
+                            "response_failure": {
+                                "type": "string",
+                                "description": "操作失败时的友好回复",
+                            },
+                        }
+                    )
+                    required_params.extend(["response_success", "response_failure"])
+
+                    tool_desc = {
+                        "type": "function",
+                        "function": {
+                            "name": tool_name,
+                            "description": f"{device_desc} - {method_info['description']}",
+                            "parameters": {
+                                "type": "object",
+                                "properties": parameters,
+                                "required": required_params,
+                            },
+                        },
+                    }
+
+                    self.iot_tools[tool_name] = ToolDefinition(
+                        name=tool_name,
+                        description=tool_desc,
+                        tool_type=ToolType.DEVICE_IOT,
+                    )
+
+    def get_tools(self) -> Dict[str, ToolDefinition]:
+        """获取所有设备端IoT工具"""
+        return self.iot_tools.copy()
+
+    def has_tool(self, tool_name: str) -> bool:
+        """检查是否有指定的设备端IoT工具"""
+        return tool_name in self.iot_tools

main/xiaozhi-server/core/tools/device_iot/iot_handler.py

@@ -0,0 +1,86 @@
+"""IoT设备支持模块，提供IoT设备描述符和状态处理"""
+
+import asyncio
+from config.logger import setup_logging
+from .iot_descriptor import IotDescriptor
+
+TAG = __name__
+logger = setup_logging()
+
+
+async def handleIotDescriptors(conn, descriptors):
+    """处理物联网描述"""
+    wait_max_time = 5
+    while (
+        not hasattr(conn, "func_handler")
+        or conn.func_handler is None
+        or not conn.func_handler.finish_init
+    ):
+        await asyncio.sleep(1)
+        wait_max_time -= 1
+        if wait_max_time <= 0:
+            logger.bind(tag=TAG).debug("连接对象没有func_handler")
+            return
+
+    functions_changed = False
+
+    for descriptor in descriptors:
+        # 如果descriptor没有properties和methods，则直接跳过
+        if "properties" not in descriptor and "methods" not in descriptor:
+            continue
+
+        # 处理缺失properties的情况
+        if "properties" not in descriptor:
+            descriptor["properties"] = {}
+            # 从methods中提取所有参数作为properties
+            if "methods" in descriptor:
+                for method_name, method_info in descriptor["methods"].items():
+                    if "parameters" in method_info:
+                        for param_name, param_info in method_info["parameters"].items():
+                            # 将参数信息转换为属性信息
+                            descriptor["properties"][param_name] = {
+                                "description": param_info["description"],
+                                "type": param_info["type"],
+                            }
+
+        # 创建IOT设备描述符
+        iot_descriptor = IotDescriptor(
+            descriptor["name"],
+            descriptor["description"],
+            descriptor["properties"],
+            descriptor["methods"],
+        )
+        conn.iot_descriptors[descriptor["name"]] = iot_descriptor
+        functions_changed = True
+
+    # 如果注册了新函数，更新function描述列表
+    if functions_changed and hasattr(conn, "func_handler"):
+        # 注册IoT工具到统一工具处理器
+        await conn.func_handler.register_iot_tools(descriptors)
+
+        func_names = conn.func_handler.current_support_functions()
+        logger.bind(tag=TAG).info(
+            f"更新function描述列表完成，当前支持的函数: {func_names}"
+        )
+
+
+async def handleIotStatus(conn, states):
+    """处理物联网状态"""
+    for state in states:
+        for key, value in conn.iot_descriptors.items():
+            if key == state["name"]:
+                for property_item in value.properties:
+                    for k, v in state["state"].items():
+                        if property_item["name"] == k:
+                            if type(v) != type(property_item["value"]):
+                                logger.bind(tag=TAG).error(
+                                    f"属性{property_item['name']}的值类型不匹配"
+                                )
+                                break
+                            else:
+                                property_item["value"] = v
+                                logger.bind(tag=TAG).info(
+                                    f"物联网状态更新: {key} , {property_item['name']} = {v}"
+                                )
+                            break
+                break

main/xiaozhi-server/core/tools/device_mcp/__init__.py

@@ -0,0 +1,21 @@
+"""设备端MCP工具模块"""
+
+from .mcp_client import MCPClient
+from .mcp_handler import (
+    send_mcp_message,
+    handle_mcp_message,
+    send_mcp_initialize_message,
+    send_mcp_tools_list_request,
+    call_mcp_tool,
+)
+from .mcp_executor import DeviceMCPExecutor
+
+__all__ = [
+    "MCPClient",
+    "send_mcp_message",
+    "handle_mcp_message",
+    "send_mcp_initialize_message",
+    "send_mcp_tools_list_request",
+    "call_mcp_tool",
+    "DeviceMCPExecutor",
+]

main/xiaozhi-server/core/tools/device_mcp/mcp_client.py

@@ -0,0 +1,93 @@
+"""设备端MCP客户端定义"""
+
+import asyncio
+from concurrent.futures import Future
+from core.utils.util import sanitize_tool_name
+from config.logger import setup_logging
+
+TAG = __name__
+logger = setup_logging()
+
+
+class MCPClient:
+    """设备端MCP客户端，用于管理MCP状态和工具"""
+
+    def __init__(self):
+        self.tools = {}  # sanitized_name -> tool_data
+        self.name_mapping = {}
+        self.ready = False
+        self.call_results = {}  # To store Futures for tool call responses
+        self.next_id = 1
+        self.lock = asyncio.Lock()
+        self._cached_available_tools = None  # Cache for get_available_tools
+
+    def has_tool(self, name: str) -> bool:
+        return name in self.tools
+
+    def get_available_tools(self) -> list:
+        # Check if the cache is valid
+        if self._cached_available_tools is not None:
+            return self._cached_available_tools
+
+        # If cache is not valid, regenerate the list
+        result = []
+        for tool_name, tool_data in self.tools.items():
+            function_def = {
+                "name": tool_name,
+                "description": tool_data["description"],
+                "parameters": {
+                    "type": tool_data["inputSchema"].get("type", "object"),
+                    "properties": tool_data["inputSchema"].get("properties", {}),
+                    "required": tool_data["inputSchema"].get("required", []),
+                },
+            }
+            result.append({"type": "function", "function": function_def})
+
+        self._cached_available_tools = result  # Store the generated list in cache
+        return result
+
+    async def is_ready(self) -> bool:
+        async with self.lock:
+            return self.ready
+
+    async def set_ready(self, status: bool):
+        async with self.lock:
+            self.ready = status
+
+    async def add_tool(self, tool_data: dict):
+        async with self.lock:
+            sanitized_name = sanitize_tool_name(tool_data["name"])
+            self.tools[sanitized_name] = tool_data
+            self.name_mapping[sanitized_name] = tool_data["name"]
+            self._cached_available_tools = (
+                None  # Invalidate the cache when a tool is added
+            )
+
+    async def get_next_id(self) -> int:
+        async with self.lock:
+            current_id = self.next_id
+            self.next_id += 1
+            return current_id
+
+    async def register_call_result_future(self, id: int, future: Future):
+        async with self.lock:
+            self.call_results[id] = future
+
+    async def resolve_call_result(self, id: int, result: any):
+        async with self.lock:
+            if id in self.call_results:
+                future = self.call_results.pop(id)
+                if not future.done():
+                    future.set_result(result)
+
+    async def reject_call_result(self, id: int, exception: Exception):
+        async with self.lock:
+            if id in self.call_results:
+                future = self.call_results.pop(id)
+                if not future.done():
+                    future.set_exception(exception)
+
+    async def cleanup_call_result(self, id: int):
+        async with self.lock:
+            if id in self.call_results:
+                self.call_results.pop(id)

main/xiaozhi-server/core/tools/device_mcp/mcp_executor.py

@@ -0,0 +1,72 @@
+"""设备端MCP工具执行器"""
+
+from typing import Dict, Any
+from ..base import ToolType, ToolDefinition, ToolResult, ToolExecutor, ToolAction
+from .mcp_handler import call_mcp_tool
+
+
+class DeviceMCPExecutor(ToolExecutor):
+    """设备端MCP工具执行器"""
+
+    def __init__(self, conn):
+        self.conn = conn
+
+    async def execute(
+        self, conn, tool_name: str, arguments: Dict[str, Any]
+    ) -> ToolResult:
+        """执行设备端MCP工具"""
+        if not hasattr(conn, "mcp_client") or not conn.mcp_client:
+            return ToolResult(
+                action=ToolAction.ERROR,
+                content="设备端MCP客户端未初始化",
+                error="设备端MCP客户端未初始化",
+            )
+
+        if not await conn.mcp_client.is_ready():
+            return ToolResult(
+                action=ToolAction.ERROR,
+                content="设备端MCP客户端未准备就绪",
+                error="设备端MCP客户端未准备就绪",
+            )
+
+        try:
+            # 转换参数为JSON字符串
+            import json
+
+            args_str = json.dumps(arguments) if arguments else "{}"
+
+            # 调用设备端MCP工具
+            result = await call_mcp_tool(conn, conn.mcp_client, tool_name, args_str)
+
+            return ToolResult(action=ToolAction.RESPONSE, content=str(result))
+
+        except ValueError as e:
+            return ToolResult(action=ToolAction.NOT_FOUND, content=str(e), error=str(e))
+        except Exception as e:
+            return ToolResult(action=ToolAction.ERROR, content=str(e), error=str(e))
+
+    def get_tools(self) -> Dict[str, ToolDefinition]:
+        """获取所有设备端MCP工具"""
+        if not hasattr(self.conn, "mcp_client") or not self.conn.mcp_client:
+            return {}
+
+        tools = {}
+        mcp_tools = self.conn.mcp_client.get_available_tools()
+
+        for tool in mcp_tools:
+            func_def = tool.get("function", {})
+            tool_name = func_def.get("name", "")
+
+            if tool_name:
+                tools[tool_name] = ToolDefinition(
+                    name=tool_name, description=tool, tool_type=ToolType.DEVICE_MCP
+                )
+
+        return tools
+
+    def has_tool(self, tool_name: str) -> bool:
+        """检查是否有指定的设备端MCP工具"""
+        if not hasattr(self.conn, "mcp_client") or not self.conn.mcp_client:
+            return False
+
+        return self.conn.mcp_client.has_tool(tool_name)

main/xiaozhi-server/core/tools/device_mcp/mcp_handler.py

@@ -0,0 +1,383 @@
+"""设备端MCP客户端支持模块"""
+
+import json
+import asyncio
+import re
+from concurrent.futures import Future
+from core.utils.util import get_vision_url, sanitize_tool_name
+from core.utils.auth import AuthToken
+from config.logger import setup_logging
+
+TAG = __name__
+logger = setup_logging()
+
+
+class MCPClient:
+    """设备端MCP客户端，用于管理MCP状态和工具"""
+
+    def __init__(self):
+        self.tools = {}  # sanitized_name -> tool_data
+        self.name_mapping = {}
+        self.ready = False
+        self.call_results = {}  # To store Futures for tool call responses
+        self.next_id = 1
+        self.lock = asyncio.Lock()
+        self._cached_available_tools = None  # Cache for get_available_tools
+
+    def has_tool(self, name: str) -> bool:
+        return name in self.tools
+
+    def get_available_tools(self) -> list:
+        # Check if the cache is valid
+        if self._cached_available_tools is not None:
+            return self._cached_available_tools
+
+        # If cache is not valid, regenerate the list
+        result = []
+        for tool_name, tool_data in self.tools.items():
+            function_def = {
+                "name": tool_name,
+                "description": tool_data["description"],
+                "parameters": {
+                    "type": tool_data["inputSchema"].get("type", "object"),
+                    "properties": tool_data["inputSchema"].get("properties", {}),
+                    "required": tool_data["inputSchema"].get("required", []),
+                },
+            }
+            result.append({"type": "function", "function": function_def})
+
+        self._cached_available_tools = result  # Store the generated list in cache
+        return result
+
+    async def is_ready(self) -> bool:
+        async with self.lock:
+            return self.ready
+
+    async def set_ready(self, status: bool):
+        async with self.lock:
+            self.ready = status
+
+    async def add_tool(self, tool_data: dict):
+        async with self.lock:
+            sanitized_name = sanitize_tool_name(tool_data["name"])
+            self.tools[sanitized_name] = tool_data
+            self.name_mapping[sanitized_name] = tool_data["name"]
+            self._cached_available_tools = (
+                None  # Invalidate the cache when a tool is added
+            )
+
+    async def get_next_id(self) -> int:
+        async with self.lock:
+            current_id = self.next_id
+            self.next_id += 1
+            return current_id
+
+    async def register_call_result_future(self, id: int, future: Future):
+        async with self.lock:
+            self.call_results[id] = future
+
+    async def resolve_call_result(self, id: int, result: any):
+        async with self.lock:
+            if id in self.call_results:
+                future = self.call_results.pop(id)
+                if not future.done():
+                    future.set_result(result)
+
+    async def reject_call_result(self, id: int, exception: Exception):
+        async with self.lock:
+            if id in self.call_results:
+                future = self.call_results.pop(id)
+                if not future.done():
+                    future.set_exception(exception)
+
+    async def cleanup_call_result(self, id: int):
+        async with self.lock:
+            if id in self.call_results:
+                self.call_results.pop(id)
+
+
+async def send_mcp_message(conn, payload: dict):
+    """Helper to send MCP messages, encapsulating common logic."""
+    if not conn.features.get("mcp"):
+        logger.bind(tag=TAG).warning("客户端不支持MCP，无法发送MCP消息")
+        return
+
+    message = json.dumps({"type": "mcp", "payload": payload})
+
+    try:
+        await conn.websocket.send(message)
+        logger.bind(tag=TAG).info(f"成功发送MCP消息: {message}")
+    except Exception as e:
+        logger.bind(tag=TAG).error(f"发送MCP消息失败: {e}")
+
+
+async def handle_mcp_message(conn, mcp_client: MCPClient, payload: dict):
+    """处理MCP消息,包括初始化、工具列表和工具调用响应等"""
+    logger.bind(tag=TAG).info(f"处理MCP消息: {payload}")
+
+    if not isinstance(payload, dict):
+        logger.bind(tag=TAG).error("MCP消息缺少payload字段或格式错误")
+        return
+
+    # Handle result
+    if "result" in payload:
+        result = payload["result"]
+        msg_id = int(payload.get("id", 0))
+
+        # Check for tool call response first
+        if msg_id in mcp_client.call_results:
+            logger.bind(tag=TAG).debug(
+                f"收到工具调用响应，ID: {msg_id}, 结果: {result}"
+            )
+            await mcp_client.resolve_call_result(msg_id, result)
+            return
+
+        if msg_id == 1:  # mcpInitializeID
+            logger.bind(tag=TAG).debug("收到MCP初始化响应")
+            server_info = result.get("serverInfo")
+            if isinstance(server_info, dict):
+                name = server_info.get("name")
+                version = server_info.get("version")
+                logger.bind(tag=TAG).info(
+                    f"客户端MCP服务器信息: name={name}, version={version}"
+                )
+            return
+
+        elif msg_id == 2:  # mcpToolsListID
+            logger.bind(tag=TAG).debug("收到MCP工具列表响应")
+            if isinstance(result, dict) and "tools" in result:
+                tools_data = result["tools"]
+                if not isinstance(tools_data, list):
+                    logger.bind(tag=TAG).error("工具列表格式错误")
+                    return
+
+                logger.bind(tag=TAG).info(
+                    f"客户端设备支持的工具数量: {len(tools_data)}"
+                )
+
+                for i, tool in enumerate(tools_data):
+                    if not isinstance(tool, dict):
+                        continue
+
+                    name = tool.get("name", "")
+                    description = tool.get("description", "")
+                    input_schema = {"type": "object", "properties": {}, "required": []}
+
+                    if "inputSchema" in tool and isinstance(tool["inputSchema"], dict):
+                        schema = tool["inputSchema"]
+                        input_schema["type"] = schema.get("type", "object")
+                        input_schema["properties"] = schema.get("properties", {})
+                        input_schema["required"] = [
+                            s for s in schema.get("required", []) if isinstance(s, str)
+                        ]
+
+                    new_tool = {
+                        "name": name,
+                        "description": description,
+                        "inputSchema": input_schema,
+                    }
+                    await mcp_client.add_tool(new_tool)
+                    logger.bind(tag=TAG).debug(f"客户端工具 #{i+1}: {name}")
+
+                # 替换所有工具描述中的工具名称
+                for tool_data in mcp_client.tools.values():
+                    if "description" in tool_data:
+                        description = tool_data["description"]
+                        # 遍历所有工具名称进行替换
+                        for (
+                            sanitized_name,
+                            original_name,
+                        ) in mcp_client.name_mapping.items():
+                            description = description.replace(
+                                original_name, sanitized_name
+                            )
+                        tool_data["description"] = description
+
+                next_cursor = result.get("nextCursor", "")
+                if next_cursor:
+                    logger.bind(tag=TAG).info(f"有更多工具，nextCursor: {next_cursor}")
+                    await send_mcp_tools_list_continue_request(conn, next_cursor)
+                else:
+                    await mcp_client.set_ready(True)
+                    logger.bind(tag=TAG).info("所有工具已获取，MCP客户端准备就绪")
+            return
+
+    # Handle method calls (requests from the client)
+    elif "method" in payload:
+        method = payload["method"]
+        logger.bind(tag=TAG).info(f"收到MCP客户端请求: {method}")
+
+    elif "error" in payload:
+        error_data = payload["error"]
+        error_msg = error_data.get("message", "未知错误")
+        logger.bind(tag=TAG).error(f"收到MCP错误响应: {error_msg}")
+
+        msg_id = int(payload.get("id", 0))
+        if msg_id in mcp_client.call_results:
+            await mcp_client.reject_call_result(
+                msg_id, Exception(f"MCP错误: {error_msg}")
+            )
+
+
+async def send_mcp_initialize_message(conn):
+    """发送MCP初始化消息"""
+
+    vision_url = get_vision_url(conn.config)
+
+    # 密钥生成token
+    auth = AuthToken(conn.config["server"]["auth_key"])
+    token = auth.generate_token(conn.headers.get("device-id"))
+
+    vision = {
+        "url": vision_url,
+        "token": token,
+    }
+
+    payload = {
+        "jsonrpc": "2.0",
+        "id": 1,  # mcpInitializeID
+        "method": "initialize",
+        "params": {
+            "protocolVersion": "2024-11-05",
+            "capabilities": {
+                "roots": {"listChanged": True},
+                "sampling": {},
+                "vision": vision,
+            },
+            "clientInfo": {
+                "name": "XiaozhiClient",
+                "version": "1.0.0",
+            },
+        },
+    }
+    logger.bind(tag=TAG).info("发送MCP初始化消息")
+    await send_mcp_message(conn, payload)
+
+
+async def send_mcp_tools_list_request(conn):
+    """发送MCP工具列表请求"""
+    payload = {
+        "jsonrpc": "2.0",
+        "id": 2,  # mcpToolsListID
+        "method": "tools/list",
+    }
+    logger.bind(tag=TAG).debug("发送MCP工具列表请求")
+    await send_mcp_message(conn, payload)
+
+
+async def send_mcp_tools_list_continue_request(conn, cursor: str):
+    """发送带有cursor的MCP工具列表请求"""
+    payload = {
+        "jsonrpc": "2.0",
+        "id": 2,  # mcpToolsListID (same ID for continuation)
+        "method": "tools/list",
+        "params": {"cursor": cursor},
+    }
+    logger.bind(tag=TAG).info(f"发送带cursor的MCP工具列表请求: {cursor}")
+    await send_mcp_message(conn, payload)
+
+
+async def call_mcp_tool(
+    conn, mcp_client: MCPClient, tool_name: str, args: str = "{}", timeout: int = 30
+):
+    """
+    调用指定的工具，并等待响应
+    """
+    if not await mcp_client.is_ready():
+        raise RuntimeError("MCP客户端尚未准备就绪")
+
+    if not mcp_client.has_tool(tool_name):
+        raise ValueError(f"工具 {tool_name} 不存在")
+
+    tool_call_id = await mcp_client.get_next_id()
+    result_future = asyncio.Future()
+    await mcp_client.register_call_result_future(tool_call_id, result_future)
+
+    # 处理参数
+    try:
+        if isinstance(args, str):
+            # 确保字符串是有效的JSON
+            if not args.strip():
+                arguments = {}
+            else:
+                try:
+                    # 尝试直接解析
+                    arguments = json.loads(args)
+                except json.JSONDecodeError:
+                    # 如果解析失败，尝试合并多个JSON对象
+                    try:
+                        # 使用正则表达式匹配所有JSON对象
+                        json_objects = re.findall(r"\{[^{}]*\}", args)
+                        if len(json_objects) > 1:
+                            # 合并所有JSON对象
+                            merged_dict = {}
+                            for json_str in json_objects:
+                                try:
+                                    obj = json.loads(json_str)
+                                    if isinstance(obj, dict):
+                                        merged_dict.update(obj)
+                                except json.JSONDecodeError:
+                                    continue
+                            if merged_dict:
+                                arguments = merged_dict
+                            else:
+                                raise ValueError(f"无法解析任何有效的JSON对象: {args}")
+                        else:
+                            raise ValueError(f"参数JSON解析失败: {args}")
+                    except Exception as e:
+                        logger.bind(tag=TAG).error(
+                            f"参数JSON解析失败: {str(e)}, 原始参数: {args}"
+                        )
+                        raise ValueError(f"参数JSON解析失败: {str(e)}")
+        elif isinstance(args, dict):
+            arguments = args
+        else:
+            raise ValueError(f"参数类型错误，期望字符串或字典，实际类型: {type(args)}")
+
+        # 确保参数是字典类型
+        if not isinstance(arguments, dict):
+            raise ValueError(f"参数必须是字典类型，实际类型: {type(arguments)}")
+
+    except Exception as e:
+        if not isinstance(e, ValueError):
+            raise ValueError(f"参数处理失败: {str(e)}")
+        raise e
+
+    actual_name = mcp_client.name_mapping.get(tool_name, tool_name)
+    payload = {
+        "jsonrpc": "2.0",
+        "id": tool_call_id,
+        "method": "tools/call",
+        "params": {"name": actual_name, "arguments": arguments},
+    }
+
+    logger.bind(tag=TAG).info(f"发送客户端mcp工具调用请求: {actual_name}，参数: {args}")
+    await send_mcp_message(conn, payload)
+
+    try:
+        # Wait for response or timeout
+        raw_result = await asyncio.wait_for(result_future, timeout=timeout)
+        logger.bind(tag=TAG).info(
+            f"客户端mcp工具调用 {actual_name} 成功，原始结果: {raw_result}"
+        )
+
+        if isinstance(raw_result, dict):
+            if raw_result.get("isError") is True:
+                error_msg = raw_result.get(
+                    "error", "工具调用返回错误，但未提供具体错误信息"
+                )
+                raise RuntimeError(f"工具调用错误: {error_msg}")
+
+            content = raw_result.get("content")
+            if isinstance(content, list) and len(content) > 0:
+                if isinstance(content[0], dict) and "text" in content[0]:
+                    # 直接返回文本内容，不进行JSON解析
+                    return content[0]["text"]
+        # 如果结果不是预期的格式，将其转换为字符串
+        return str(raw_result)
+    except asyncio.TimeoutError:
+        await mcp_client.cleanup_call_result(tool_call_id)
+        raise TimeoutError("工具调用请求超时")
+    except Exception as e:
+        await mcp_client.cleanup_call_result(tool_call_id)
+        raise e

main/xiaozhi-server/core/tools/server_mcp/__init__.py

@@ -0,0 +1,6 @@
+"""服务端MCP工具模块"""
+
+from .mcp_manager import ServerMCPManager
+from .mcp_executor import ServerMCPExecutor
+
+__all__ = ["ServerMCPManager", "ServerMCPExecutor"]

main/xiaozhi-server/core/tools/server_mcp/mcp_executor.py

@@ -0,0 +1,82 @@
+"""服务端MCP工具执行器"""
+
+from typing import Dict, Any, Optional
+from ..base import ToolType, ToolDefinition, ToolResult, ToolExecutor, ToolAction
+from .mcp_manager import ServerMCPManager
+
+
+class ServerMCPExecutor(ToolExecutor):
+    """服务端MCP工具执行器"""
+
+    def __init__(self, conn):
+        self.conn = conn
+        self.mcp_manager: Optional[ServerMCPManager] = None
+        self._initialized = False
+
+    async def initialize(self):
+        """初始化MCP管理器"""
+        if not self._initialized:
+            self.mcp_manager = ServerMCPManager(self.conn)
+            await self.mcp_manager.initialize_servers()
+            self._initialized = True
+
+    async def execute(
+        self, conn, tool_name: str, arguments: Dict[str, Any]
+    ) -> ToolResult:
+        """执行服务端MCP工具"""
+        if not self._initialized or not self.mcp_manager:
+            return ToolResult(
+                action=ToolAction.ERROR,
+                content="MCP管理器未初始化",
+                error="MCP管理器未初始化",
+            )
+
+        try:
+            # 移除mcp_前缀（如果有）
+            actual_tool_name = tool_name
+            if tool_name.startswith("mcp_"):
+                actual_tool_name = tool_name[4:]
+
+            result = await self.mcp_manager.execute_tool(actual_tool_name, arguments)
+
+            return ToolResult(action=ToolAction.RESPONSE, content=str(result))
+
+        except ValueError as e:
+            return ToolResult(action=ToolAction.NOT_FOUND, content=str(e), error=str(e))
+        except Exception as e:
+            return ToolResult(action=ToolAction.ERROR, content=str(e), error=str(e))
+
+    def get_tools(self) -> Dict[str, ToolDefinition]:
+        """获取所有服务端MCP工具"""
+        if not self._initialized or not self.mcp_manager:
+            return {}
+
+        tools = {}
+        mcp_tools = self.mcp_manager.get_all_tools()
+
+        for tool in mcp_tools:
+            func_def = tool.get("function", {})
+            tool_name = f"mcp_{func_def.get('name', '')}"
+
+            tools[tool_name] = ToolDefinition(
+                name=tool_name, description=tool, tool_type=ToolType.SERVER_MCP
+            )
+
+        return tools
+
+    def has_tool(self, tool_name: str) -> bool:
+        """检查是否有指定的服务端MCP工具"""
+        if not self._initialized or not self.mcp_manager:
+            return False
+
+        # 移除mcp_前缀（如果有）
+        actual_tool_name = tool_name
+        if tool_name.startswith("mcp_"):
+            actual_tool_name = tool_name[4:]
+
+        return self.mcp_manager.is_mcp_tool(actual_tool_name)
+
+    async def cleanup(self):
+        """清理MCP连接"""
+        if self.mcp_manager:
+            await self.mcp_manager.cleanup_all()

main/xiaozhi-server/core/tools/server_mcp/mcp_manager.py

@@ -0,0 +1,100 @@
+"""服务端MCP管理器"""
+
+import asyncio
+import os
+import json
+from typing import Dict, Any, List
+from config.config_loader import get_project_dir
+from config.logger import setup_logging
+
+TAG = __name__
+logger = setup_logging()
+
+
+class ServerMCPManager:
+    """管理多个服务端MCP服务的集中管理器"""
+
+    def __init__(self, conn) -> None:
+        """初始化MCP管理器"""
+        self.conn = conn
+        self.config_path = get_project_dir() + "data/.mcp_server_settings.json"
+        if not os.path.exists(self.config_path):
+            self.config_path = ""
+            logger.bind(tag=TAG).warning(
+                f"请检查mcp服务配置文件：data/.mcp_server_settings.json"
+            )
+        self.clients: Dict[str, Any] = {}
+        self.tools = []
+
+    def load_config(self) -> Dict[str, Any]:
+        """加载MCP服务配置"""
+        if len(self.config_path) == 0:
+            return {}
+
+        try:
+            with open(self.config_path, "r", encoding="utf-8") as f:
+                config = json.load(f)
+            return config.get("mcpServers", {})
+        except Exception as e:
+            logger.bind(tag=TAG).error(
+                f"Error loading MCP config from {self.config_path}: {e}"
+            )
+            return {}
+
+    async def initialize_servers(self) -> None:
+        """初始化所有MCP服务"""
+        config = self.load_config()
+        for name, srv_config in config.items():
+            if not srv_config.get("command") and not srv_config.get("url"):
+                logger.bind(tag=TAG).warning(
+                    f"Skipping server {name}: neither command nor url specified"
+                )
+                continue
+
+            try:
+                # 这里可以添加真正的MCP客户端初始化逻辑
+                # 暂时使用简化版本
+                logger.bind(tag=TAG).info(f"初始化服务端MCP客户端: {name}")
+                # client = MCPClient(srv_config)
+                # await client.initialize()
+                # self.clients[name] = client
+                # client_tools = client.get_available_tools()
+                # self.tools.extend(client_tools)
+
+            except Exception as e:
+                logger.bind(tag=TAG).error(
+                    f"Failed to initialize MCP server {name}: {e}"
+                )
+
+    def get_all_tools(self) -> List[Dict[str, Any]]:
+        """获取所有服务的工具function定义"""
+        return self.tools
+
+    def is_mcp_tool(self, tool_name: str) -> bool:
+        """检查是否是MCP工具"""
+        for tool in self.tools:
+            if (
+                tool.get("function") is not None
+                and tool["function"].get("name") == tool_name
+            ):
+                return True
+        return False
+
+    async def execute_tool(self, tool_name: str, arguments: Dict[str, Any]) -> Any:
+        """执行工具调用"""
+        logger.bind(tag=TAG).info(f"执行服务端MCP工具 {tool_name}，参数: {arguments}")
+
+        # 这里可以添加真正的工具执行逻辑
+        # 暂时返回模拟结果
+        return f"服务端MCP工具 {tool_name} 执行结果"
+
+    async def cleanup_all(self) -> None:
+        """关闭所有 MCP客户端"""
+        for name, client in list(self.clients.items()):
+            try:
+                if hasattr(client, "cleanup"):
+                    await asyncio.wait_for(client.cleanup(), timeout=20)
+                logger.bind(tag=TAG).info(f"服务端MCP客户端已关闭: {name}")
+            except (asyncio.TimeoutError, Exception) as e:
+                logger.bind(tag=TAG).error(f"关闭服务端MCP客户端 {name} 时出错: {e}")
+        self.clients.clear()

main/xiaozhi-server/core/tools/server_plugins/__init__.py

@@ -0,0 +1,5 @@
+"""服务端插件工具模块"""
+
+from .plugin_executor import ServerPluginExecutor
+
+__all__ = ["ServerPluginExecutor"]

main/xiaozhi-server/core/tools/server_plugins/plugin_executor.py

@@ -0,0 +1,102 @@
+"""服务端插件工具执行器"""
+
+from typing import Dict, Any
+from ..base import ToolType, ToolDefinition, ToolResult, ToolExecutor, ToolAction
+from plugins_func.register import all_function_registry, Action, ActionResponse
+
+
+class ServerPluginExecutor(ToolExecutor):
+    """服务端插件工具执行器"""
+
+    def __init__(self, conn):
+        self.conn = conn
+        self.config = conn.config
+
+    async def execute(
+        self, conn, tool_name: str, arguments: Dict[str, Any]
+    ) -> ToolResult:
+        """执行服务端插件工具"""
+        func_item = all_function_registry.get(tool_name)
+        if not func_item:
+            return ToolResult(
+                action=ToolAction.NOT_FOUND, content=f"插件函数 {tool_name} 不存在"
+            )
+
+        try:
+            # 根据工具类型决定如何调用
+            if hasattr(func_item, "type"):
+                func_type = func_item.type
+                if func_type.code in [4, 5]:  # SYSTEM_CTL, IOT_CTL (需要conn参数)
+                    result = func_item.func(conn, **arguments)
+                elif func_type.code == 2:  # WAIT
+                    result = func_item.func(**arguments)
+                elif func_type.code == 3:  # CHANGE_SYS_PROMPT
+                    result = func_item.func(conn, **arguments)
+                else:
+                    result = func_item.func(**arguments)
+            else:
+                # 默认不传conn参数
+                result = func_item.func(**arguments)
+
+            # 转换ActionResponse到ToolResult
+            if isinstance(result, ActionResponse):
+                if result.action == Action.ERROR:
+                    return ToolResult(
+                        action=ToolAction.ERROR,
+                        content=result.result,
+                        error=result.response,
+                    )
+                elif result.action == Action.RESPONSE:
+                    return ToolResult(
+                        action=ToolAction.RESPONSE,
+                        content=result.result,
+                        response=result.response,
+                    )
+                elif result.action == Action.REQLLM:
+                    return ToolResult(
+                        action=ToolAction.REQUEST_LLM,
+                        content=result.result,
+                        response=result.response,
+                    )
+                else:
+                    return ToolResult(
+                        action=ToolAction.NONE,
+                        content=result.result,
+                        response=result.response,
+                    )
+            else:
+                # 直接返回结果
+                return ToolResult(action=ToolAction.RESPONSE, content=str(result))
+
+        except Exception as e:
+            return ToolResult(action=ToolAction.ERROR, content=str(e), error=str(e))
+
+    def get_tools(self) -> Dict[str, ToolDefinition]:
+        """获取所有注册的服务端插件工具"""
+        tools = {}
+
+        # 获取必要的函数
+        necessary_functions = ["handle_exit_intent", "get_time", "get_lunar"]
+
+        # 获取配置中的函数
+        config_functions = self.config["Intent"][
+            self.config["selected_module"]["Intent"]
+        ].get("functions", [])
+
+        # 合并所有需要的函数
+        all_required_functions = list(set(necessary_functions + config_functions))
+
+        for func_name in all_required_functions:
+            func_item = all_function_registry.get(func_name)
+            if func_item:
+                tools[func_name] = ToolDefinition(
+                    name=func_name,
+                    description=func_item.description,
+                    tool_type=ToolType.SERVER_PLUGIN,
+                )
+
+        return tools
+
+    def has_tool(self, tool_name: str) -> bool:
+        """检查是否有指定的服务端插件工具"""
+        return tool_name in all_function_registry

main/xiaozhi-server/core/tools/unified_tool_handler.py

@@ -0,0 +1,188 @@
+"""统一工具处理器，替换原有的FunctionHandler"""
+
+import json
+from typing import Dict, List, Any, Optional
+from config.logger import setup_logging
+from plugins_func.loadplugins import auto_import_modules
+
+from .base import ToolType, ToolResult, ToolAction
+from .unified_tool_manager import ToolManager
+from .server_plugins import ServerPluginExecutor
+from .server_mcp import ServerMCPExecutor
+from .device_iot import DeviceIoTExecutor
+from .device_mcp import DeviceMCPExecutor
+
+
+class UnifiedToolHandler:
+    """统一工具处理器"""
+
+    def __init__(self, conn):
+        self.conn = conn
+        self.config = conn.config
+        self.logger = setup_logging()
+
+        # 创建工具管理器
+        self.tool_manager = ToolManager(conn)
+
+        # 创建各类执行器
+        self.server_plugin_executor = ServerPluginExecutor(conn)
+        self.server_mcp_executor = ServerMCPExecutor(conn)
+        self.device_iot_executor = DeviceIoTExecutor(conn)
+        self.device_mcp_executor = DeviceMCPExecutor(conn)
+
+        # 注册执行器
+        self.tool_manager.register_executor(
+            ToolType.SERVER_PLUGIN, self.server_plugin_executor
+        )
+        self.tool_manager.register_executor(
+            ToolType.SERVER_MCP, self.server_mcp_executor
+        )
+        self.tool_manager.register_executor(
+            ToolType.DEVICE_IOT, self.device_iot_executor
+        )
+        self.tool_manager.register_executor(
+            ToolType.DEVICE_MCP, self.device_mcp_executor
+        )
+
+        # 初始化标志
+        self.finish_init = False
+
+    async def _initialize(self):
+        """异步初始化"""
+        try:
+            # 自动导入插件模块
+            auto_import_modules("plugins_func.functions")
+
+            # 初始化服务端MCP
+            await self.server_mcp_executor.initialize()
+
+            # 初始化Home Assistant（如果需要）
+            self._initialize_home_assistant()
+
+            self.finish_init = True
+            self.logger.info("统一工具处理器初始化完成")
+
+        except Exception as e:
+            self.logger.error(f"统一工具处理器初始化失败: {e}")
+
+    def _initialize_home_assistant(self):
+        """初始化Home Assistant提示词"""
+        try:
+            from plugins_func.functions.hass_init import append_devices_to_prompt
+
+            append_devices_to_prompt(self.conn)
+        except ImportError:
+            pass  # 忽略导入错误
+        except Exception as e:
+            self.logger.error(f"初始化Home Assistant失败: {e}")
+
+    def get_functions(self) -> List[Dict[str, Any]]:
+        """获取所有工具的函数描述"""
+        return self.tool_manager.get_function_descriptions()
+
+    def current_support_functions(self) -> List[str]:
+        """获取当前支持的函数名称列表"""
+        func_names = self.tool_manager.get_supported_tool_names()
+        self.logger.info(f"当前支持的函数列表: {func_names}")
+        return func_names
+
+    def upload_functions_desc(self):
+        """刷新函数描述列表"""
+        self.tool_manager.refresh_tools()
+        self.logger.info("函数描述列表已刷新")
+
+    def has_tool(self, tool_name: str) -> bool:
+        """检查是否有指定工具"""
+        return self.tool_manager.has_tool(tool_name)
+
+    async def handle_llm_function_call(
+        self, conn, function_call_data: Dict[str, Any]
+    ) -> Optional[ToolResult]:
+        """处理LLM函数调用"""
+        try:
+            # 处理多函数调用
+            if "function_calls" in function_call_data:
+                responses = []
+                for call in function_call_data["function_calls"]:
+                    result = await self.tool_manager.execute_tool(
+                        call["name"], call.get("arguments", {})
+                    )
+                    responses.append(result)
+                return self._combine_responses(responses)
+
+            # 处理单函数调用
+            function_name = function_call_data["name"]
+            arguments = function_call_data.get("arguments", {})
+
+            # 如果arguments是字符串，尝试解析为JSON
+            if isinstance(arguments, str):
+                try:
+                    arguments = json.loads(arguments) if arguments else {}
+                except json.JSONDecodeError:
+                    self.logger.error(f"无法解析函数参数: {arguments}")
+                    return ToolResult(
+                        action=ToolAction.ERROR,
+                        content="无法解析函数参数",
+                        error="无法解析函数参数",
+                    )
+
+            self.logger.debug(f"调用函数: {function_name}, 参数: {arguments}")
+
+            # 执行工具调用
+            result = await self.tool_manager.execute_tool(function_name, arguments)
+            return result
+
+        except Exception as e:
+            self.logger.error(f"处理function call错误: {e}")
+            return ToolResult(action=ToolAction.ERROR, content=str(e), error=str(e))
+
+    def _combine_responses(self, responses: List[ToolResult]) -> ToolResult:
+        """合并多个函数调用的响应"""
+        if not responses:
+            return ToolResult(action=ToolAction.NONE, content="无响应")
+
+        # 如果有任何错误，返回第一个错误
+        for response in responses:
+            if response.action == ToolAction.ERROR:
+                return response
+
+        # 合并所有成功的响应
+        contents = []
+        responses_text = []
+
+        for response in responses:
+            if response.content:
+                contents.append(response.content)
+            if response.response:
+                responses_text.append(response.response)
+
+        # 确定最终的动作类型
+        final_action = ToolAction.RESPONSE
+        for response in responses:
+            if response.action == ToolAction.REQUEST_LLM:
+                final_action = ToolAction.REQUEST_LLM
+                break
+
+        return ToolResult(
+            action=final_action,
+            content="; ".join(contents),
+            response="; ".join(responses_text) if responses_text else None,
+        )
+
+    async def register_iot_tools(self, descriptors: List[Dict[str, Any]]):
+        """注册IoT设备工具"""
+        self.device_iot_executor.register_iot_tools(descriptors)
+        self.tool_manager.refresh_tools()
+        self.logger.info(f"注册了{len(descriptors)}个IoT设备的工具")
+
+    def get_tool_statistics(self) -> Dict[str, int]:
+        """获取工具统计信息"""
+        return self.tool_manager.get_tool_statistics()
+
+    async def cleanup(self):
+        """清理资源"""
+        try:
+            await self.server_mcp_executor.cleanup()
+            self.logger.info("工具处理器清理完成")
+        except Exception as e:
+            self.logger.error(f"工具处理器清理失败: {e}")

main/xiaozhi-server/core/tools/unified_tool_manager.py

@@ -0,0 +1,128 @@
+"""统一工具管理器"""
+
+import asyncio
+from typing import Dict, List, Optional, Any
+from config.logger import setup_logging
+from .base import ToolType, ToolDefinition, ToolResult, ToolExecutor, ToolAction
+
+
+class ToolManager:
+    """统一工具管理器，管理所有类型的工具"""
+    
+    def __init__(self, conn):
+        self.conn = conn
+        self.logger = setup_logging()
+        self.executors: Dict[ToolType, ToolExecutor] = {}
+        self._cached_tools: Optional[Dict[str, ToolDefinition]] = None
+        self._cached_function_descriptions: Optional[List[Dict[str, Any]]] = None
+        
+    def register_executor(self, tool_type: ToolType, executor: ToolExecutor):
+        """注册工具执行器"""
+        self.executors[tool_type] = executor
+        self._invalidate_cache()
+        self.logger.info(f"注册工具执行器: {tool_type.value}")
+    
+    def _invalidate_cache(self):
+        """使缓存失效"""
+        self._cached_tools = None
+        self._cached_function_descriptions = None
+    
+    def get_all_tools(self) -> Dict[str, ToolDefinition]:
+        """获取所有工具定义"""
+        if self._cached_tools is not None:
+            return self._cached_tools
+        
+        all_tools = {}
+        for tool_type, executor in self.executors.items():
+            try:
+                tools = executor.get_tools()
+                for name, definition in tools.items():
+                    if name in all_tools:
+                        self.logger.warning(f"工具名称冲突: {name}")
+                    all_tools[name] = definition
+            except Exception as e:
+                self.logger.error(f"获取{tool_type.value}工具时出错: {e}")
+        
+        self._cached_tools = all_tools
+        return all_tools
+    
+    def get_function_descriptions(self) -> List[Dict[str, Any]]:
+        """获取所有工具的函数描述（OpenAI格式）"""
+        if self._cached_function_descriptions is not None:
+            return self._cached_function_descriptions
+        
+        descriptions = []
+        tools = self.get_all_tools()
+        for tool_definition in tools.values():
+            descriptions.append(tool_definition.description)
+        
+        self._cached_function_descriptions = descriptions
+        return descriptions
+    
+    def has_tool(self, tool_name: str) -> bool:
+        """检查是否存在指定工具"""
+        tools = self.get_all_tools()
+        return tool_name in tools
+    
+    def get_tool_type(self, tool_name: str) -> Optional[ToolType]:
+        """获取工具类型"""
+        tools = self.get_all_tools()
+        tool_def = tools.get(tool_name)
+        return tool_def.tool_type if tool_def else None
+    
+    async def execute_tool(self, tool_name: str, arguments: Dict[str, Any]) -> ToolResult:
+        """执行工具调用"""
+        try:
+            # 查找工具类型
+            tool_type = self.get_tool_type(tool_name)
+            if not tool_type:
+                return ToolResult(
+                    action=ToolAction.NOT_FOUND,
+                    content=f"工具 {tool_name} 不存在",
+                    error=f"工具 {tool_name} 不存在"
+                )
+            
+            # 获取对应的执行器
+            executor = self.executors.get(tool_type)
+            if not executor:
+                return ToolResult(
+                    action=ToolAction.ERROR,
+                    content=f"工具类型 {tool_type.value} 的执行器未注册",
+                    error=f"工具类型 {tool_type.value} 的执行器未注册"
+                )
+            
+            # 执行工具
+            self.logger.info(f"执行工具: {tool_name}，参数: {arguments}")
+            result = await executor.execute(self.conn, tool_name, arguments)
+            self.logger.debug(f"工具执行结果: {result}")
+            return result
+            
+        except Exception as e:
+            self.logger.error(f"执行工具 {tool_name} 时出错: {e}")
+            return ToolResult(
+                action=ToolAction.ERROR,
+                content=str(e),
+                error=str(e)
+            )
+    
+    def get_supported_tool_names(self) -> List[str]:
+        """获取所有支持的工具名称"""
+        tools = self.get_all_tools()
+        return list(tools.keys())
+    
+    def refresh_tools(self):
+        """刷新工具缓存"""
+        self._invalidate_cache()
+        self.logger.info("工具缓存已刷新")
+    
+    def get_tool_statistics(self) -> Dict[str, int]:
+        """获取工具统计信息"""
+        stats = {}
+        for tool_type, executor in self.executors.items():
+            try:
+                tools = executor.get_tools()
+                stats[tool_type.value] = len(tools)
+            except Exception as e:
+                self.logger.error(f"获取{tool_type.value}工具统计时出错: {e}")
+                stats[tool_type.value] = 0
+        return stats