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Edit: chat_choice.py
# coding: utf-8 # Copyright (c) 2016, 2024, Oracle and/or its affiliates. All rights reserved. # This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. # NOTE: This class is auto generated by OracleSDKGenerator. DO NOT EDIT. API Version: 20231130 from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401 from oci.decorators import init_model_state_from_kwargs @init_model_state_from_kwargs class ChatChoice(object): """ Represents a single instance of the chat response. """ def __init__(self, **kwargs): """ Initializes a new ChatChoice object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param index: The value to assign to the index property of this ChatChoice. :type index: int :param message: The value to assign to the message property of this ChatChoice. :type message: oci.generative_ai_inference.models.Message :param finish_reason: The value to assign to the finish_reason property of this ChatChoice. :type finish_reason: str :param logprobs: The value to assign to the logprobs property of this ChatChoice. :type logprobs: oci.generative_ai_inference.models.Logprobs """ self.swagger_types = { 'index': 'int', 'message': 'Message', 'finish_reason': 'str', 'logprobs': 'Logprobs' } self.attribute_map = { 'index': 'index', 'message': 'message', 'finish_reason': 'finishReason', 'logprobs': 'logprobs' } self._index = None self._message = None self._finish_reason = None self._logprobs = None @property def index(self): """ **[Required]** Gets the index of this ChatChoice. The index of the chat. :return: The index of this ChatChoice. :rtype: int """ return self._index @index.setter def index(self, index): """ Sets the index of this ChatChoice. The index of the chat. :param index: The index of this ChatChoice. :type: int """ self._index = index @property def message(self): """ **[Required]** Gets the message of this ChatChoice. :return: The message of this ChatChoice. :rtype: oci.generative_ai_inference.models.Message """ return self._message @message.setter def message(self, message): """ Sets the message of this ChatChoice. :param message: The message of this ChatChoice. :type: oci.generative_ai_inference.models.Message """ self._message = message @property def finish_reason(self): """ **[Required]** Gets the finish_reason of this ChatChoice. The reason why the model stopped generating tokens. Stops if the model hits a natural stop point or a provided stop sequence. Returns the length if the tokens reach the specified maximum number of tokens. :return: The finish_reason of this ChatChoice. :rtype: str """ return self._finish_reason @finish_reason.setter def finish_reason(self, finish_reason): """ Sets the finish_reason of this ChatChoice. The reason why the model stopped generating tokens. Stops if the model hits a natural stop point or a provided stop sequence. Returns the length if the tokens reach the specified maximum number of tokens. :param finish_reason: The finish_reason of this ChatChoice. :type: str """ self._finish_reason = finish_reason @property def logprobs(self): """ Gets the logprobs of this ChatChoice. :return: The logprobs of this ChatChoice. :rtype: oci.generative_ai_inference.models.Logprobs """ return self._logprobs @logprobs.setter def logprobs(self, logprobs): """ Sets the logprobs of this ChatChoice. :param logprobs: The logprobs of this ChatChoice. :type: oci.generative_ai_inference.models.Logprobs """ self._logprobs = logprobs def __repr__(self): return formatted_flat_dict(self) def __eq__(self, other): if other is None: return False return self.__dict__ == other.__dict__ def __ne__(self, other): return not self == other