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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`)
"""
@abstractmethod
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
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