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# ========= Copyright 2023-2024 @ CAMEL-AI.org. 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. | |
# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. ========= | |
from abc import ABC, abstractmethod | |
from typing import Any, Dict | |
from pydantic import BaseModel | |
class BaseConverter(ABC): | |
r"""A base class for schema outputs that includes functionality | |
for managing the response format. | |
Args: | |
output_schema (Optional[Type[BaseModel]], optional): The expected | |
format of the response. (default: :obj:`None`) | |
""" | |
def convert( | |
self, content: str, *args: Any, **kwargs: Dict[str, Any] | |
) -> BaseModel: | |
r"""Structures the input text into the expected response format. | |
Args: | |
text (str): The input text to be structured. | |
output_schema (Optional[Type[BaseModel]], optional): | |
The expected format of the response. Defaults to None. | |
prompt (Optional[str], optional): The prompt to be used. | |
Returns: | |
Optional[BaseModel]: The structured response. | |
""" | |
pass | |