from __future__ import annotations import typing from ...core import app, entities as core_entities from . import entities from ..session import entities as session_entities class ToolManager: """LLM工具管理器 """ ap: app.Application all_functions: list[entities.LLMFunction] def __init__(self, ap: app.Application): self.ap = ap self.all_functions = [] async def initialize(self): pass def register_legacy_function(self, name: str, description: str, parameters: dict, func: callable): """注册函数 """ async def wrapper(query, **kwargs): return func(**kwargs) function = entities.LLMFunction( name=name, description=description, human_desc='', enable=True, parameters=parameters, func=wrapper ) self.all_functions.append(function) async def register_function(self, function: entities.LLMFunction): """添加函数 """ self.all_functions.append(function) async def get_function(self, name: str) -> entities.LLMFunction: """获取函数 """ for function in self.all_functions: if function.name == name: return function return None async def get_all_functions(self) -> list[entities.LLMFunction]: """获取所有函数 """ return self.all_functions async def generate_tools_for_openai(self, conversation: session_entities.Conversation) -> str: """生成函数列表 """ tools = [] for function in conversation.use_funcs: if function.enable: function_schema = { "type": "function", "function": { "name": function.name, "description": function.description, "parameters": function.parameters } } tools.append(function_schema) return tools async def execute_func_call( self, query: core_entities.Query, name: str, parameters: dict ) -> typing.Any: """执行函数调用 """ # return "i'm not sure for the args "+str(parameters) function = await self.get_function(name) if function is None: return None parameters = parameters.copy() parameters = { "query": query, **parameters } return await function.func(**parameters)