初始化

server/agent_service.py

@@ -1,5 +1,3 @@
-import asyncio
-
 from autogen_agentchat.agents import AssistantAgent
 from autogen_agentchat.messages import MultiModalMessage, TextMessage
 from autogen_core import Image
@@ -7,12 +5,11 @@ from autogen_core.models import ModelFamily
 from autogen_ext.models.ollama import OllamaChatCompletionClient
 
 from . import config
-from .mcp_tools import load_mcp_tools
 
 
 class AvatarAgentService:
     def __init__(self) -> None:
-        self._model_client = OllamaChatCompletionClient(
+        model_client = OllamaChatCompletionClient(
             model=config.OLLAMA_MODEL,
             model_info={
                 "vision": True,
@@ -22,34 +19,18 @@ class AvatarAgentService:
                 "structured_output": True,
             },
         )
-        self._agent: AssistantAgent | None = None
+        self._agent = AssistantAgent(
-        self._agent_lock = asyncio.Lock()
-
-    async def _create_agent(self) -> AssistantAgent:
-        tools = await load_mcp_tools()
-        return AssistantAgent(
             name="avatar",
-            model_client=self._model_client,
+            model_client=model_client,
             system_message=config.SYSTEM_MESSAGE,
-            tools=tools or None,
-            reflect_on_tool_use=bool(tools),
         )
 
-    async def _get_agent(self) -> AssistantAgent:
-        if self._agent is not None:
-            return self._agent
-        async with self._agent_lock:
-            if self._agent is None:
-                self._agent = await self._create_agent()
-        return self._agent
-
     async def reply(self, user_text: str, image_b64: str) -> str:
-        agent = await self._get_agent()
         user_image = Image.from_base64(image_b64)
         multimodal_task = MultiModalMessage(source="user", content=[user_text, user_image])
 
         ai_response = ""
-        async for message in agent.run_stream(task=multimodal_task):
+        async for message in self._agent.run_stream(task=multimodal_task):
             if isinstance(message, TextMessage) and message.source == "avatar":
                 ai_response = message.content
 

server/config.py

@@ -1,25 +1,6 @@
-import os
-import shlex
-
-
-def _env_bool(name: str, default: bool) -> bool:
-    value = os.getenv(name)
-    if value is None:
-        return default
-    return value.strip().lower() in {"1", "true", "yes", "on"}
-
-
-def _env_args(name: str, default: str = "") -> list[str]:
-    value = os.getenv(name, default)
-    if not value.strip():
-        return []
-    return shlex.split(value)
-
-
 SYSTEM_MESSAGE = (
     "你是一个友好、幽默的AI虚拟主播。你可以看到用户摄像头传来的画面，也能听到他们的话。"
     "请用简短、自然、热情的中文口语回答，每次回答控制在两三句话以内，不要输出任何 Markdown 格式。"
-    "当用户询问实时天气、最新新闻或网页信息时，优先使用可用工具先查询再回答。"
 )
 
 WHISPER_MODEL_NAME = "base"
@@ -33,12 +14,3 @@ OLLAMA_MODEL = "qwen3-vl:latest"
 
 SERVER_HOST = "0.0.0.0"
 SERVER_PORT = 8000
-
-ENABLE_MCP_TOOLS = _env_bool("ENABLE_MCP_TOOLS", True)
-MCP_SERVER_READ_TIMEOUT_SECONDS = float(os.getenv("MCP_SERVER_READ_TIMEOUT_SECONDS", "30"))
-
-MCP_WEATHER_SERVER_COMMAND = os.getenv("MCP_WEATHER_SERVER_COMMAND", "")
-MCP_WEATHER_SERVER_ARGS = _env_args("MCP_WEATHER_SERVER_ARGS")
-
-MCP_WEBSEARCH_SERVER_COMMAND = os.getenv("MCP_WEBSEARCH_SERVER_COMMAND", "")
-MCP_WEBSEARCH_SERVER_ARGS = _env_args("MCP_WEBSEARCH_SERVER_ARGS")

server/mcp_tools.py

@@ -1,73 +0,0 @@
-from __future__ import annotations
-
-from dataclasses import dataclass
-from typing import Any
-
-from autogen_ext.tools.mcp import StdioServerParams, mcp_server_tools
-
-from . import config
-
-
-@dataclass(frozen=True)
-class MCPServerConfig:
-    name: str
-    command: str
-    args: list[str]
-
-
-def _configured_servers() -> list[MCPServerConfig]:
-    if not config.ENABLE_MCP_TOOLS:
-        return []
-
-    servers: list[MCPServerConfig] = []
-    if config.MCP_WEATHER_SERVER_COMMAND:
-        servers.append(
-            MCPServerConfig(
-                name="weather",
-                command=config.MCP_WEATHER_SERVER_COMMAND,
-                args=config.MCP_WEATHER_SERVER_ARGS,
-            )
-        )
-    if config.MCP_WEBSEARCH_SERVER_COMMAND:
-        servers.append(
-            MCPServerConfig(
-                name="websearch",
-                command=config.MCP_WEBSEARCH_SERVER_COMMAND,
-                args=config.MCP_WEBSEARCH_SERVER_ARGS,
-            )
-        )
-    return servers
-
-
-async def load_mcp_tools() -> list[Any]:
-    configured_servers = _configured_servers()
-    if not configured_servers:
-        print("ℹ️ MCP 工具未配置，跳过加载。")
-        return []
-
-    loaded_tools: list[Any] = []
-    tool_names: set[str] = set()
-
-    for server in configured_servers:
-        params = StdioServerParams(
-            command=server.command,
-            args=server.args,
-            read_timeout_seconds=config.MCP_SERVER_READ_TIMEOUT_SECONDS,
-        )
-        try:
-            server_tools = await mcp_server_tools(params)
-            for tool in server_tools:
-                if tool.name in tool_names:
-                    print(f"⚠️ MCP 工具重名，已跳过: {tool.name}")
-                    continue
-                loaded_tools.append(tool)
-                tool_names.add(tool.name)
-            print(f"✅ MCP 服务已加载: {server.name} ({len(server_tools)} tools)")
-        except Exception as exc:
-            print(f"⚠️ MCP 服务加载失败: {server.name}, error={exc}")
-
-    if loaded_tools:
-        print(f"✅ MCP 工具总数: {len(loaded_tools)}")
-    else:
-        print("ℹ️ 未加载到任何 MCP 工具。")
-    return loaded_tools