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# 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 .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