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