markqiu's picture
百度文心一言的例子
569cdb0
# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import json
from typing import Dict, List, final
from erniebot_agent.tools.base import Tool
@final
class ToolManager(object):
"""A `ToolManager` instance manages tools for an agent.
This implementation is based on `ToolsManager` in
https://github.com/deepset-ai/haystack/blob/main/haystack/agents/base.py
"""
def __init__(self, tools: List[Tool]) -> None:
super().__init__()
self._tools: Dict[str, Tool] = {}
for tool in tools:
self.add_tool(tool)
def __getitem__(self, tool_name: str) -> Tool:
return self.get_tool(tool_name)
def add_tool(self, tool: Tool) -> None:
tool_name = tool.tool_name
if tool_name in self._tools:
raise RuntimeError(f"Name {repr(tool_name)} is already registered.")
self._tools[tool_name] = tool
def remove_tool(self, tool: Tool) -> None:
tool_name = tool.tool_name
if tool_name not in self._tools:
raise RuntimeError(f"Name {repr(tool_name)} is not registered.")
if self._tools[tool_name] is not tool:
raise RuntimeError(f"The tool with the registered name {repr(tool_name)} is not the given tool.")
self._tools.pop(tool_name)
def get_tool(self, tool_name: str) -> Tool:
if tool_name not in self._tools:
raise RuntimeError(f"Name {repr(tool_name)} is not registered.")
return self._tools[tool_name]
def get_tools(self) -> List[Tool]:
return list(self._tools.values())
def get_tool_names(self) -> str:
return ", ".join(self._tools.keys())
def get_tool_names_with_descriptions(self) -> str:
return "\n".join(
f"{name}:{json.dumps(tool.function_call_schema())}" for name, tool in self._tools.items()
)
def get_tool_schemas(self):
return [tool.function_call_schema() for tool in self._tools.values()]