Files
AstrBot/astrbot/core/agent/mcp_client.py
Soulter 50144ddcae refactor: revise LLM message schema and fix the reload logic when using dataclass-based LLM Tool registration (#3234)
* refactor: llm message schema

* feat: implement MCPTool and local LLM tools with enhanced context handling

* refactor: reorganize imports and enhance docstrings for clarity

* refactor: enhance ContentPart validation and add message pair handling in ConversationManager

* chore: ruff format

* refactor: remove debug print statement from payloads in ProviderOpenAIOfficial

* Update astrbot/core/agent/tool.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update astrbot/core/agent/message.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update astrbot/core/agent/message.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update astrbot/core/agent/tool.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update astrbot/core/pipeline/process_stage/method/llm_request.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update astrbot/core/agent/message.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* refactor: enhance documentation and import mcp in tool.py; update call method return type

* fix: 修复以数据类的方式注册 tool 时的插件重载机制问题

* refactor: change role attributes to use Literal types for message segments

* fix: add support for 'decorator_handler' method in call_local_llm_tool

* fix: handle None prompt in text_chat method and ensure context is properly formatted

---------

Co-authored-by: LIghtJUNction <lightjunction.me@gmail.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2025-11-02 18:12:20 +08:00

260 lines
9.3 KiB
Python

import asyncio
import logging
from contextlib import AsyncExitStack
from datetime import timedelta
from typing import Generic
from astrbot import logger
from astrbot.core.agent.run_context import ContextWrapper
from astrbot.core.utils.log_pipe import LogPipe
from .run_context import TContext
from .tool import FunctionTool
try:
import mcp
from mcp.client.sse import sse_client
except (ModuleNotFoundError, ImportError):
logger.warning("警告: 缺少依赖库 'mcp',将无法使用 MCP 服务。")
try:
from mcp.client.streamable_http import streamablehttp_client
except (ModuleNotFoundError, ImportError):
logger.warning(
"警告: 缺少依赖库 'mcp' 或者 mcp 库版本过低,无法使用 Streamable HTTP 连接方式。",
)
def _prepare_config(config: dict) -> dict:
"""准备配置,处理嵌套格式"""
if config.get("mcpServers"):
first_key = next(iter(config["mcpServers"]))
config = config["mcpServers"][first_key]
config.pop("active", None)
return config
async def _quick_test_mcp_connection(config: dict) -> tuple[bool, str]:
"""快速测试 MCP 服务器可达性"""
import aiohttp
cfg = _prepare_config(config.copy())
url = cfg["url"]
headers = cfg.get("headers", {})
timeout = cfg.get("timeout", 10)
try:
if "transport" in cfg:
transport_type = cfg["transport"]
elif "type" in cfg:
transport_type = cfg["type"]
else:
raise Exception("MCP 连接配置缺少 transport 或 type 字段")
async with aiohttp.ClientSession() as session:
if transport_type == "streamable_http":
test_payload = {
"jsonrpc": "2.0",
"method": "initialize",
"id": 0,
"params": {
"protocolVersion": "2024-11-05",
"capabilities": {},
"clientInfo": {"name": "test-client", "version": "1.2.3"},
},
}
async with session.post(
url,
headers={
**headers,
"Content-Type": "application/json",
"Accept": "application/json, text/event-stream",
},
json=test_payload,
timeout=aiohttp.ClientTimeout(total=timeout),
) as response:
if response.status == 200:
return True, ""
return False, f"HTTP {response.status}: {response.reason}"
else:
async with session.get(
url,
headers={
**headers,
"Accept": "application/json, text/event-stream",
},
timeout=aiohttp.ClientTimeout(total=timeout),
) as response:
if response.status == 200:
return True, ""
return False, f"HTTP {response.status}: {response.reason}"
except asyncio.TimeoutError:
return False, f"连接超时: {timeout}"
except Exception as e:
return False, f"{e!s}"
class MCPClient:
def __init__(self):
# Initialize session and client objects
self.session: mcp.ClientSession | None = None
self.exit_stack = AsyncExitStack()
self.name: str | None = None
self.active: bool = True
self.tools: list[mcp.Tool] = []
self.server_errlogs: list[str] = []
self.running_event = asyncio.Event()
async def connect_to_server(self, mcp_server_config: dict, name: str):
"""连接到 MCP 服务器
如果 `url` 参数存在:
1. 当 transport 指定为 `streamable_http` 时,使用 Streamable HTTP 连接方式。
1. 当 transport 指定为 `sse` 时,使用 SSE 连接方式。
2. 如果没有指定,默认使用 SSE 的方式连接到 MCP 服务。
Args:
mcp_server_config (dict): Configuration for the MCP server. See https://modelcontextprotocol.io/quickstart/server
"""
cfg = _prepare_config(mcp_server_config.copy())
def logging_callback(msg: str):
# 处理 MCP 服务的错误日志
print(f"MCP Server {name} Error: {msg}")
self.server_errlogs.append(msg)
if "url" in cfg:
success, error_msg = await _quick_test_mcp_connection(cfg)
if not success:
raise Exception(error_msg)
if "transport" in cfg:
transport_type = cfg["transport"]
elif "type" in cfg:
transport_type = cfg["type"]
else:
raise Exception("MCP 连接配置缺少 transport 或 type 字段")
if transport_type != "streamable_http":
# SSE transport method
self._streams_context = sse_client(
url=cfg["url"],
headers=cfg.get("headers", {}),
timeout=cfg.get("timeout", 5),
sse_read_timeout=cfg.get("sse_read_timeout", 60 * 5),
)
streams = await self.exit_stack.enter_async_context(
self._streams_context,
)
# Create a new client session
read_timeout = timedelta(seconds=cfg.get("session_read_timeout", 60))
self.session = await self.exit_stack.enter_async_context(
mcp.ClientSession(
*streams,
read_timeout_seconds=read_timeout,
logging_callback=logging_callback, # type: ignore
),
)
else:
timeout = timedelta(seconds=cfg.get("timeout", 30))
sse_read_timeout = timedelta(
seconds=cfg.get("sse_read_timeout", 60 * 5),
)
self._streams_context = streamablehttp_client(
url=cfg["url"],
headers=cfg.get("headers", {}),
timeout=timeout,
sse_read_timeout=sse_read_timeout,
terminate_on_close=cfg.get("terminate_on_close", True),
)
read_s, write_s, _ = await self.exit_stack.enter_async_context(
self._streams_context,
)
# Create a new client session
read_timeout = timedelta(seconds=cfg.get("session_read_timeout", 60))
self.session = await self.exit_stack.enter_async_context(
mcp.ClientSession(
read_stream=read_s,
write_stream=write_s,
read_timeout_seconds=read_timeout,
logging_callback=logging_callback, # type: ignore
),
)
else:
server_params = mcp.StdioServerParameters(
**cfg,
)
def callback(msg: str):
# 处理 MCP 服务的错误日志
self.server_errlogs.append(msg)
stdio_transport = await self.exit_stack.enter_async_context(
mcp.stdio_client(
server_params,
errlog=LogPipe(
level=logging.ERROR,
logger=logger,
identifier=f"MCPServer-{name}",
callback=callback,
), # type: ignore
),
)
# Create a new client session
self.session = await self.exit_stack.enter_async_context(
mcp.ClientSession(*stdio_transport),
)
await self.session.initialize()
async def list_tools_and_save(self) -> mcp.ListToolsResult:
"""List all tools from the server and save them to self.tools"""
if not self.session:
raise Exception("MCP Client is not initialized")
response = await self.session.list_tools()
self.tools = response.tools
return response
async def cleanup(self):
"""Clean up resources"""
await self.exit_stack.aclose()
self.running_event.set() # Set the running event to indicate cleanup is done
class MCPTool(FunctionTool, Generic[TContext]):
"""A function tool that calls an MCP service."""
def __init__(
self, mcp_tool: mcp.Tool, mcp_client: MCPClient, mcp_server_name: str, **kwargs
):
super().__init__(
name=mcp_tool.name,
description=mcp_tool.description or "",
parameters=mcp_tool.inputSchema,
)
self.mcp_tool = mcp_tool
self.mcp_client = mcp_client
self.mcp_server_name = mcp_server_name
async def call(
self, context: ContextWrapper[TContext], **kwargs
) -> mcp.types.CallToolResult:
session = self.mcp_client.session
if not session:
raise ValueError("MCP session is not available for MCP function tools.")
res = await session.call_tool(
name=self.mcp_tool.name,
arguments=kwargs,
read_timeout_seconds=timedelta(
seconds=context.tool_call_timeout,
),
)
return res