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# coding: utf-8 # Copyright (c) 2016, 2026, 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 .llm_inference_response import LlmInferenceResponse 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 CohereLlmInferenceResponse(LlmInferenceResponse): """ The generated text result to return. """ def __init__(self, kwargs): """ Initializes a new CohereLlmInferenceResponse object with values from keyword arguments. The default value of the :py:attr:`~oci.generative_ai_inference.models.CohereLlmInferenceResponse.runtime_type` attribute of this class is ``COHERE`` and it should not be changed. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param runtime_type: The value to assign to the runtime_type property of this CohereLlmInferenceResponse. Allowed values for this property are: "COHERE", "LLAMA" :type runtime_type: str :param generated_texts: The value to assign to the generated_texts property of this CohereLlmInferenceResponse. :type generated_texts: list[oci.generative_ai_inference.models.GeneratedText] :param time_created: The value to assign to the time_created property of this CohereLlmInferenceResponse. :type time_created: datetime :param prompt: The value to assign to the prompt property of this CohereLlmInferenceResponse. :type prompt: str """ self.swagger_types = { 'runtime_type': 'str', 'generated_texts': 'list[GeneratedText]', 'time_created': 'datetime', 'prompt': 'str' } self.attribute_map = { 'runtime_type': 'runtimeType', 'generated_texts': 'generatedTexts', 'time_created': 'timeCreated', 'prompt': 'prompt' } self._runtime_type = None self._generated_texts = None self._time_created = None self._prompt = None self._runtime_type = 'COHERE' @property def generated_texts(self): """ [Required] Gets the generated_texts of this CohereLlmInferenceResponse. Each prompt in the input array has an array of GeneratedText, controlled by numGenerations parameter in the request. :return: The generated_texts of this CohereLlmInferenceResponse. :rtype: list[oci.generative_ai_inference.models.GeneratedText] """ return self._generated_texts @generated_texts.setter def generated_texts(self, generated_texts): """ Sets the generated_texts of this CohereLlmInferenceResponse. Each prompt in the input array has an array of GeneratedText, controlled by numGenerations parameter in the request. :param generated_texts: The generated_texts of this CohereLlmInferenceResponse. :type: list[oci.generative_ai_inference.models.GeneratedText] """ self._generated_texts = generated_texts @property def time_created(self): """ [Required]** Gets the time_created of this CohereLlmInferenceResponse. The date and time that the model was created in an RFC3339 formatted datetime string. :return: The time_created of this CohereLlmInferenceResponse. :rtype: datetime """ return self._time_created @time_created.setter def time_created(self, time_created): """ Sets the time_created of this CohereLlmInferenceResponse. The date and time that the model was created in an RFC3339 formatted datetime string. :param time_created: The time_created of this CohereLlmInferenceResponse. :type: datetime """ self._time_created = time_created @property def prompt(self): """ Gets the prompt of this CohereLlmInferenceResponse. Represents the original prompt. Applies only to non-stream responses. :return: The prompt of this CohereLlmInferenceResponse. :rtype: str """ return self._prompt @prompt.setter def prompt(self, prompt): """ Sets the prompt of this CohereLlmInferenceResponse. Represents the original prompt. Applies only to non-stream responses. :param prompt: The prompt of this CohereLlmInferenceResponse. :type: str """ self._prompt = prompt 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

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