mirror of
https://github.com/langbot-app/LangBot.git
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106 lines
3.2 KiB
Python
106 lines
3.2 KiB
Python
from __future__ import annotations
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import typing
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from ...core import app
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from ...utils import importutil
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from . import loaders
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from .loaders import mcp as mcp_loader, plugin as plugin_loader
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import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
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importutil.import_modules_in_pkg(loaders)
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class ToolManager:
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"""LLM工具管理器"""
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ap: app.Application
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plugin_tool_loader: plugin_loader.PluginToolLoader
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mcp_tool_loader: mcp_loader.MCPLoader
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def __init__(self, ap: app.Application):
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self.ap = ap
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async def initialize(self):
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self.plugin_tool_loader = plugin_loader.PluginToolLoader(self.ap)
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await self.plugin_tool_loader.initialize()
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self.mcp_tool_loader = mcp_loader.MCPLoader(self.ap)
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await self.mcp_tool_loader.initialize()
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async def get_all_tools(self) -> list[resource_tool.LLMTool]:
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"""获取所有函数"""
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all_functions: list[resource_tool.LLMTool] = []
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all_functions.extend(await self.plugin_tool_loader.get_tools())
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all_functions.extend(await self.mcp_tool_loader.get_tools())
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return all_functions
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async def generate_tools_for_openai(self, use_funcs: list[resource_tool.LLMTool]) -> list:
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"""生成函数列表"""
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tools = []
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for function in use_funcs:
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function_schema = {
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'type': 'function',
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'function': {
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'name': function.name,
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'description': function.description,
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'parameters': function.parameters,
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},
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}
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tools.append(function_schema)
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return tools
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async def generate_tools_for_anthropic(self, use_funcs: list[resource_tool.LLMTool]) -> list:
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"""为anthropic生成函数列表
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e.g.
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[
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{
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"name": "get_stock_price",
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"description": "Get the current stock price for a given ticker symbol.",
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"input_schema": {
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"type": "object",
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"properties": {
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"ticker": {
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"type": "string",
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"description": "The stock ticker symbol, e.g. AAPL for Apple Inc."
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}
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},
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"required": ["ticker"]
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}
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}
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]
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"""
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tools = []
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for function in use_funcs:
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function_schema = {
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'name': function.name,
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'description': function.description,
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'input_schema': function.parameters,
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}
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tools.append(function_schema)
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return tools
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async def execute_func_call(self, name: str, parameters: dict) -> typing.Any:
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"""执行函数调用"""
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if await self.plugin_tool_loader.has_tool(name):
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return await self.plugin_tool_loader.invoke_tool(name, parameters)
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elif await self.mcp_tool_loader.has_tool(name):
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return await self.mcp_tool_loader.invoke_tool(name, parameters)
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else:
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raise ValueError(f'未找到工具: {name}')
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async def shutdown(self):
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"""关闭所有工具"""
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await self.plugin_tool_loader.shutdown()
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await self.mcp_tool_loader.shutdown()
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