File: //lib/mysqlsh/lib/python3.8/site-packages/oci/generative_ai_inference/models/guardrails_results.py
# coding: utf-8
# Copyright (c) 2016, 2025, 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 GuardrailsResults(object):
"""
The results of applying each guardrail.
"""
def __init__(self, **kwargs):
"""
Initializes a new GuardrailsResults object with values from keyword arguments.
The following keyword arguments are supported (corresponding to the getters/setters of this class):
:param content_moderation:
The value to assign to the content_moderation property of this GuardrailsResults.
:type content_moderation: oci.generative_ai_inference.models.ContentModerationResult
:param personally_identifiable_information:
The value to assign to the personally_identifiable_information property of this GuardrailsResults.
:type personally_identifiable_information: list[oci.generative_ai_inference.models.PersonallyIdentifiableInformationResult]
:param prompt_injection:
The value to assign to the prompt_injection property of this GuardrailsResults.
:type prompt_injection: oci.generative_ai_inference.models.PromptInjectionProtectionResult
"""
self.swagger_types = {
'content_moderation': 'ContentModerationResult',
'personally_identifiable_information': 'list[PersonallyIdentifiableInformationResult]',
'prompt_injection': 'PromptInjectionProtectionResult'
}
self.attribute_map = {
'content_moderation': 'contentModeration',
'personally_identifiable_information': 'personallyIdentifiableInformation',
'prompt_injection': 'promptInjection'
}
self._content_moderation = None
self._personally_identifiable_information = None
self._prompt_injection = None
@property
def content_moderation(self):
"""
Gets the content_moderation of this GuardrailsResults.
:return: The content_moderation of this GuardrailsResults.
:rtype: oci.generative_ai_inference.models.ContentModerationResult
"""
return self._content_moderation
@content_moderation.setter
def content_moderation(self, content_moderation):
"""
Sets the content_moderation of this GuardrailsResults.
:param content_moderation: The content_moderation of this GuardrailsResults.
:type: oci.generative_ai_inference.models.ContentModerationResult
"""
self._content_moderation = content_moderation
@property
def personally_identifiable_information(self):
"""
Gets the personally_identifiable_information of this GuardrailsResults.
The result of PII detection
:return: The personally_identifiable_information of this GuardrailsResults.
:rtype: list[oci.generative_ai_inference.models.PersonallyIdentifiableInformationResult]
"""
return self._personally_identifiable_information
@personally_identifiable_information.setter
def personally_identifiable_information(self, personally_identifiable_information):
"""
Sets the personally_identifiable_information of this GuardrailsResults.
The result of PII detection
:param personally_identifiable_information: The personally_identifiable_information of this GuardrailsResults.
:type: list[oci.generative_ai_inference.models.PersonallyIdentifiableInformationResult]
"""
self._personally_identifiable_information = personally_identifiable_information
@property
def prompt_injection(self):
"""
Gets the prompt_injection of this GuardrailsResults.
:return: The prompt_injection of this GuardrailsResults.
:rtype: oci.generative_ai_inference.models.PromptInjectionProtectionResult
"""
return self._prompt_injection
@prompt_injection.setter
def prompt_injection(self, prompt_injection):
"""
Sets the prompt_injection of this GuardrailsResults.
:param prompt_injection: The prompt_injection of this GuardrailsResults.
:type: oci.generative_ai_inference.models.PromptInjectionProtectionResult
"""
self._prompt_injection = prompt_injection
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