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109 lines
3.0 KiB
Python
109 lines
3.0 KiB
Python
from __future__ import annotations
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import typing
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import traceback
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from ...core import app, entities as core_entities
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from . import entities, loader as tools_loader
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from ...plugin import context as plugin_context
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from .loaders import plugin, mcp
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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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loaders: list[tools_loader.ToolLoader]
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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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self.loaders = []
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async def initialize(self):
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for loader_cls in tools_loader.preregistered_loaders:
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loader_inst = loader_cls(self.ap)
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await loader_inst.initialize()
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self.loaders.append(loader_inst)
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async def get_all_functions(self, plugin_enabled: bool=None) -> list[entities.LLMFunction]:
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"""获取所有函数"""
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all_functions: list[entities.LLMFunction] = []
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for loader in self.loaders:
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all_functions.extend(await loader.get_tools(plugin_enabled))
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return all_functions
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async def generate_tools_for_openai(self, use_funcs: list[entities.LLMFunction]) -> 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(
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self, use_funcs: list[entities.LLMFunction]
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) -> 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(
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self, query: core_entities.Query, name: str, parameters: dict
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) -> typing.Any:
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"""执行函数调用"""
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for loader in self.loaders:
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if await loader.has_tool(name):
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return await loader.invoke_tool(query, 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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for loader in self.loaders:
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await loader.shutdown()
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