CfnGuardrailPropsMixin
- class aws_cdk.mixins_preview.aws_bedrock.mixins.CfnGuardrailPropsMixin(props, *, strategy=None)
Bases:
MixinCreates a guardrail to detect and filter harmful content in your generative AI application.
Amazon Bedrock Guardrails provides the following safeguards (also known as policies) to detect and filter harmful content:
Content filters - Detect and filter harmful text or image content in input prompts or model responses. Filtering is done based on detection of certain predefined harmful content categories: Hate, Insults, Sexual, Violence, Misconduct and Prompt Attack. You also can adjust the filter strength for each of these categories.
Denied topics - Define a set of topics that are undesirable in the context of your application. The filter will help block them if detected in user queries or model responses.
Word filters - Configure filters to help block undesirable words, phrases, and profanity (exact match). Such words can include offensive terms, competitor names, etc.
Sensitive information filters - Configure filters to help block or mask sensitive information, such as personally identifiable information (PII), or custom regex in user inputs and model responses. Blocking or masking is done based on probabilistic detection of sensitive information in standard formats in entities such as SSN number, Date of Birth, address, etc. This also allows configuring regular expression based detection of patterns for identifiers.
Contextual grounding check - Help detect and filter hallucinations in model responses based on grounding in a source and relevance to the user query.
For more information, see How Amazon Bedrock Guardrails works .
- See:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-bedrock-guardrail.html
- CloudformationResource:
AWS::Bedrock::Guardrail
- Mixin:
true
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview import mixins from aws_cdk.mixins_preview.aws_bedrock import mixins as bedrock_mixins cfn_guardrail_props_mixin = bedrock_mixins.CfnGuardrailPropsMixin(bedrock_mixins.CfnGuardrailMixinProps( automated_reasoning_policy_config=bedrock_mixins.CfnGuardrailPropsMixin.AutomatedReasoningPolicyConfigProperty( confidence_threshold=123, policies=["policies"] ), blocked_input_messaging="blockedInputMessaging", blocked_outputs_messaging="blockedOutputsMessaging", content_policy_config=bedrock_mixins.CfnGuardrailPropsMixin.ContentPolicyConfigProperty( content_filters_tier_config=bedrock_mixins.CfnGuardrailPropsMixin.ContentFiltersTierConfigProperty( tier_name="tierName" ), filters_config=[bedrock_mixins.CfnGuardrailPropsMixin.ContentFilterConfigProperty( input_action="inputAction", input_enabled=False, input_modalities=["inputModalities"], input_strength="inputStrength", output_action="outputAction", output_enabled=False, output_modalities=["outputModalities"], output_strength="outputStrength", type="type" )] ), contextual_grounding_policy_config=bedrock_mixins.CfnGuardrailPropsMixin.ContextualGroundingPolicyConfigProperty( filters_config=[bedrock_mixins.CfnGuardrailPropsMixin.ContextualGroundingFilterConfigProperty( action="action", enabled=False, threshold=123, type="type" )] ), cross_region_config=bedrock_mixins.CfnGuardrailPropsMixin.GuardrailCrossRegionConfigProperty( guardrail_profile_arn="guardrailProfileArn" ), description="description", kms_key_arn="kmsKeyArn", name="name", sensitive_information_policy_config=bedrock_mixins.CfnGuardrailPropsMixin.SensitiveInformationPolicyConfigProperty( pii_entities_config=[bedrock_mixins.CfnGuardrailPropsMixin.PiiEntityConfigProperty( action="action", input_action="inputAction", input_enabled=False, output_action="outputAction", output_enabled=False, type="type" )], regexes_config=[bedrock_mixins.CfnGuardrailPropsMixin.RegexConfigProperty( action="action", description="description", input_action="inputAction", input_enabled=False, name="name", output_action="outputAction", output_enabled=False, pattern="pattern" )] ), tags=[CfnTag( key="key", value="value" )], topic_policy_config=bedrock_mixins.CfnGuardrailPropsMixin.TopicPolicyConfigProperty( topics_config=[bedrock_mixins.CfnGuardrailPropsMixin.TopicConfigProperty( definition="definition", examples=["examples"], input_action="inputAction", input_enabled=False, name="name", output_action="outputAction", output_enabled=False, type="type" )], topics_tier_config=bedrock_mixins.CfnGuardrailPropsMixin.TopicsTierConfigProperty( tier_name="tierName" ) ), word_policy_config=bedrock_mixins.CfnGuardrailPropsMixin.WordPolicyConfigProperty( managed_word_lists_config=[bedrock_mixins.CfnGuardrailPropsMixin.ManagedWordsConfigProperty( input_action="inputAction", input_enabled=False, output_action="outputAction", output_enabled=False, type="type" )], words_config=[bedrock_mixins.CfnGuardrailPropsMixin.WordConfigProperty( input_action="inputAction", input_enabled=False, output_action="outputAction", output_enabled=False, text="text" )] ) ), strategy=mixins.PropertyMergeStrategy.OVERRIDE )
Create a mixin to apply properties to
AWS::Bedrock::Guardrail.- Parameters:
props (
Union[CfnGuardrailMixinProps,Dict[str,Any]]) – L1 properties to apply.strategy (
Optional[PropertyMergeStrategy]) – (experimental) Strategy for merging nested properties. Default: - PropertyMergeStrategy.MERGE
Methods
- apply_to(construct)
Apply the mixin properties to the construct.
- Parameters:
construct (
IConstruct)- Return type:
- supports(construct)
Check if this mixin supports the given construct.
- Parameters:
construct (
IConstruct)- Return type:
bool
Attributes
- CFN_PROPERTY_KEYS = ['automatedReasoningPolicyConfig', 'blockedInputMessaging', 'blockedOutputsMessaging', 'contentPolicyConfig', 'contextualGroundingPolicyConfig', 'crossRegionConfig', 'description', 'kmsKeyArn', 'name', 'sensitiveInformationPolicyConfig', 'tags', 'topicPolicyConfig', 'wordPolicyConfig']
Static Methods
- classmethod is_mixin(x)
(experimental) Checks if
xis a Mixin.- Parameters:
x (
Any) – Any object.- Return type:
bool- Returns:
true if
xis an object created from a class which extendsMixin.- Stability:
experimental
AutomatedReasoningPolicyConfigProperty
- class CfnGuardrailPropsMixin.AutomatedReasoningPolicyConfigProperty(*, confidence_threshold=None, policies=None)
Bases:
objectConfiguration settings for integrating Automated Reasoning policies with Amazon Bedrock Guardrails.
- Parameters:
confidence_threshold (
Union[int,float,None]) – The minimum confidence level required for Automated Reasoning policy violations to trigger guardrail actions. Values range from 0.0 to 1.0.policies (
Optional[Sequence[str]]) – The list of Automated Reasoning policy ARNs that should be applied as part of this guardrail configuration.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_bedrock import mixins as bedrock_mixins automated_reasoning_policy_config_property = bedrock_mixins.CfnGuardrailPropsMixin.AutomatedReasoningPolicyConfigProperty( confidence_threshold=123, policies=["policies"] )
Attributes
- confidence_threshold
The minimum confidence level required for Automated Reasoning policy violations to trigger guardrail actions.
Values range from 0.0 to 1.0.
- policies
The list of Automated Reasoning policy ARNs that should be applied as part of this guardrail configuration.
ContentFilterConfigProperty
- class CfnGuardrailPropsMixin.ContentFilterConfigProperty(*, input_action=None, input_enabled=None, input_modalities=None, input_strength=None, output_action=None, output_enabled=None, output_modalities=None, output_strength=None, type=None)
Bases:
objectContains filter strengths for harmful content.
Guardrails support the following content filters to detect and filter harmful user inputs and FM-generated outputs.
Hate – Describes language or a statement that discriminates, criticizes, insults, denounces, or dehumanizes a person or group on the basis of an identity (such as race, ethnicity, gender, religion, sexual orientation, ability, and national origin).
Insults – Describes language or a statement that includes demeaning, humiliating, mocking, insulting, or belittling language. This type of language is also labeled as bullying.
Sexual – Describes language or a statement that indicates sexual interest, activity, or arousal using direct or indirect references to body parts, physical traits, or sex.
Violence – Describes language or a statement that includes glorification of or threats to inflict physical pain, hurt, or injury toward a person, group or thing.
Content filtering depends on the confidence classification of user inputs and FM responses across each of the four harmful categories. All input and output statements are classified into one of four confidence levels (NONE, LOW, MEDIUM, HIGH) for each harmful category. For example, if a statement is classified as Hate with HIGH confidence, the likelihood of the statement representing hateful content is high. A single statement can be classified across multiple categories with varying confidence levels. For example, a single statement can be classified as Hate with HIGH confidence, Insults with LOW confidence, Sexual with NONE confidence, and Violence with MEDIUM confidence.
For more information, see Guardrails content filters .
- Parameters:
input_action (
Optional[str]) – Specifies the action to take when harmful content is detected. Supported values include:. -BLOCK– Block the content and replace it with blocked messaging. -NONE– Take no action but return detection information in the trace response.input_enabled (
Union[bool,IResolvable,None]) – Specifies whether to enable guardrail evaluation on the input. When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.input_modalities (
Optional[Sequence[str]]) – The input modalities selected for the guardrail content filter configuration.input_strength (
Optional[str]) – The strength of the content filter to apply to prompts. As you increase the filter strength, the likelihood of filtering harmful content increases and the probability of seeing harmful content in your application reduces.output_action (
Optional[str]) – Specifies the action to take when harmful content is detected in the output. Supported values include:. -BLOCK– Block the content and replace it with blocked messaging. -NONE– Take no action but return detection information in the trace response.output_enabled (
Union[bool,IResolvable,None]) – Specifies whether to enable guardrail evaluation on the output. When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.output_modalities (
Optional[Sequence[str]]) – The output modalities selected for the guardrail content filter configuration.output_strength (
Optional[str]) – The strength of the content filter to apply to model responses. As you increase the filter strength, the likelihood of filtering harmful content increases and the probability of seeing harmful content in your application reduces.type (
Optional[str]) – The harmful category that the content filter is applied to.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_bedrock import mixins as bedrock_mixins content_filter_config_property = bedrock_mixins.CfnGuardrailPropsMixin.ContentFilterConfigProperty( input_action="inputAction", input_enabled=False, input_modalities=["inputModalities"], input_strength="inputStrength", output_action="outputAction", output_enabled=False, output_modalities=["outputModalities"], output_strength="outputStrength", type="type" )
Attributes
- input_action
.
BLOCK– Block the content and replace it with blocked messaging.NONE– Take no action but return detection information in the trace response.
- See:
- Type:
Specifies the action to take when harmful content is detected. Supported values include
- input_enabled
Specifies whether to enable guardrail evaluation on the input.
When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.
- input_modalities
The input modalities selected for the guardrail content filter configuration.
- input_strength
The strength of the content filter to apply to prompts.
As you increase the filter strength, the likelihood of filtering harmful content increases and the probability of seeing harmful content in your application reduces.
- output_action
.
BLOCK– Block the content and replace it with blocked messaging.NONE– Take no action but return detection information in the trace response.
- See:
- Type:
Specifies the action to take when harmful content is detected in the output. Supported values include
- output_enabled
Specifies whether to enable guardrail evaluation on the output.
When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.
- output_modalities
The output modalities selected for the guardrail content filter configuration.
- output_strength
The strength of the content filter to apply to model responses.
As you increase the filter strength, the likelihood of filtering harmful content increases and the probability of seeing harmful content in your application reduces.
- type
The harmful category that the content filter is applied to.
ContentFiltersTierConfigProperty
- class CfnGuardrailPropsMixin.ContentFiltersTierConfigProperty(*, tier_name=None)
Bases:
objectThe tier that your guardrail uses for content filters.
Consider using a tier that balances performance, accuracy, and compatibility with your existing generative AI workflows.
- Parameters:
tier_name (
Optional[str]) – The tier that your guardrail uses for content filters. Valid values include:. -CLASSICtier – Provides established guardrails functionality supporting English, French, and Spanish languages. -STANDARDtier – Provides a more robust solution than theCLASSICtier and has more comprehensive language support. This tier requires that your guardrail use cross-Region inference .- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_bedrock import mixins as bedrock_mixins content_filters_tier_config_property = bedrock_mixins.CfnGuardrailPropsMixin.ContentFiltersTierConfigProperty( tier_name="tierName" )
Attributes
- tier_name
.
CLASSICtier – Provides established guardrails functionality supporting English, French, and Spanish languages.STANDARDtier – Provides a more robust solution than theCLASSICtier and has more comprehensive language support. This tier requires that your guardrail use cross-Region inference .
- See:
- Type:
The tier that your guardrail uses for content filters. Valid values include
ContentPolicyConfigProperty
- class CfnGuardrailPropsMixin.ContentPolicyConfigProperty(*, content_filters_tier_config=None, filters_config=None)
Bases:
objectContains details about how to handle harmful content.
- Parameters:
content_filters_tier_config (
Union[IResolvable,ContentFiltersTierConfigProperty,Dict[str,Any],None]) – The tier that your guardrail uses for content filters. Consider using a tier that balances performance, accuracy, and compatibility with your existing generative AI workflows.filters_config (
Union[IResolvable,Sequence[Union[IResolvable,ContentFilterConfigProperty,Dict[str,Any]]],None]) – Contains the type of the content filter and how strongly it should apply to prompts and model responses.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_bedrock import mixins as bedrock_mixins content_policy_config_property = bedrock_mixins.CfnGuardrailPropsMixin.ContentPolicyConfigProperty( content_filters_tier_config=bedrock_mixins.CfnGuardrailPropsMixin.ContentFiltersTierConfigProperty( tier_name="tierName" ), filters_config=[bedrock_mixins.CfnGuardrailPropsMixin.ContentFilterConfigProperty( input_action="inputAction", input_enabled=False, input_modalities=["inputModalities"], input_strength="inputStrength", output_action="outputAction", output_enabled=False, output_modalities=["outputModalities"], output_strength="outputStrength", type="type" )] )
Attributes
- content_filters_tier_config
The tier that your guardrail uses for content filters.
Consider using a tier that balances performance, accuracy, and compatibility with your existing generative AI workflows.
- filters_config
Contains the type of the content filter and how strongly it should apply to prompts and model responses.
ContextualGroundingFilterConfigProperty
- class CfnGuardrailPropsMixin.ContextualGroundingFilterConfigProperty(*, action=None, enabled=None, threshold=None, type=None)
Bases:
objectThe filter configuration details for the guardrails contextual grounding filter.
- Parameters:
action (
Optional[str]) – Specifies the action to take when content fails the contextual grounding evaluation. Supported values include:. -BLOCK– Block the content and replace it with blocked messaging. -NONE– Take no action but return detection information in the trace response.enabled (
Union[bool,IResolvable,None]) – Specifies whether to enable contextual grounding evaluation. When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.threshold (
Union[int,float,None]) – The threshold details for the guardrails contextual grounding filter.type (
Optional[str]) – The filter details for the guardrails contextual grounding filter.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_bedrock import mixins as bedrock_mixins contextual_grounding_filter_config_property = bedrock_mixins.CfnGuardrailPropsMixin.ContextualGroundingFilterConfigProperty( action="action", enabled=False, threshold=123, type="type" )
Attributes
- action
.
BLOCK– Block the content and replace it with blocked messaging.NONE– Take no action but return detection information in the trace response.
- See:
- Type:
Specifies the action to take when content fails the contextual grounding evaluation. Supported values include
- enabled
Specifies whether to enable contextual grounding evaluation.
When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.
- threshold
The threshold details for the guardrails contextual grounding filter.
- type
The filter details for the guardrails contextual grounding filter.
ContextualGroundingPolicyConfigProperty
- class CfnGuardrailPropsMixin.ContextualGroundingPolicyConfigProperty(*, filters_config=None)
Bases:
objectThe policy configuration details for the guardrails contextual grounding policy.
- Parameters:
filters_config (
Union[IResolvable,Sequence[Union[IResolvable,ContextualGroundingFilterConfigProperty,Dict[str,Any]]],None]) – List of contextual grounding filter configs.- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_bedrock import mixins as bedrock_mixins contextual_grounding_policy_config_property = bedrock_mixins.CfnGuardrailPropsMixin.ContextualGroundingPolicyConfigProperty( filters_config=[bedrock_mixins.CfnGuardrailPropsMixin.ContextualGroundingFilterConfigProperty( action="action", enabled=False, threshold=123, type="type" )] )
Attributes
- filters_config
List of contextual grounding filter configs.
GuardrailCrossRegionConfigProperty
- class CfnGuardrailPropsMixin.GuardrailCrossRegionConfigProperty(*, guardrail_profile_arn=None)
Bases:
objectThe system-defined guardrail profile that you’re using with your guardrail.
Guardrail profiles define the destination AWS Regions where guardrail inference requests can be automatically routed. Using guardrail profiles helps maintain guardrail performance and reliability when demand increases.
For more information, see the Amazon Bedrock User Guide .
- Parameters:
guardrail_profile_arn (
Optional[str]) –The Amazon Resource Name (ARN) of the guardrail profile that your guardrail is using. Guardrail profile availability depends on your current AWS Region . For more information, see the Amazon Bedrock User Guide .
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_bedrock import mixins as bedrock_mixins guardrail_cross_region_config_property = bedrock_mixins.CfnGuardrailPropsMixin.GuardrailCrossRegionConfigProperty( guardrail_profile_arn="guardrailProfileArn" )
Attributes
- guardrail_profile_arn
The Amazon Resource Name (ARN) of the guardrail profile that your guardrail is using.
Guardrail profile availability depends on your current AWS Region . For more information, see the Amazon Bedrock User Guide .
ManagedWordsConfigProperty
- class CfnGuardrailPropsMixin.ManagedWordsConfigProperty(*, input_action=None, input_enabled=None, output_action=None, output_enabled=None, type=None)
Bases:
objectThe managed word list to configure for the guardrail.
- Parameters:
input_action (
Optional[str]) – Specifies the action to take when harmful content is detected in the input. Supported values include:. -BLOCK– Block the content and replace it with blocked messaging. -NONE– Take no action but return detection information in the trace response.input_enabled (
Union[bool,IResolvable,None]) – Specifies whether to enable guardrail evaluation on the input. When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.output_action (
Optional[str]) – Specifies the action to take when harmful content is detected in the output. Supported values include:. -BLOCK– Block the content and replace it with blocked messaging. -NONE– Take no action but return detection information in the trace response.output_enabled (
Union[bool,IResolvable,None]) – Specifies whether to enable guardrail evaluation on the output. When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.type (
Optional[str]) – The managed word type to configure for the guardrail.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_bedrock import mixins as bedrock_mixins managed_words_config_property = bedrock_mixins.CfnGuardrailPropsMixin.ManagedWordsConfigProperty( input_action="inputAction", input_enabled=False, output_action="outputAction", output_enabled=False, type="type" )
Attributes
- input_action
.
BLOCK– Block the content and replace it with blocked messaging.NONE– Take no action but return detection information in the trace response.
- See:
- Type:
Specifies the action to take when harmful content is detected in the input. Supported values include
- input_enabled
Specifies whether to enable guardrail evaluation on the input.
When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.
- output_action
.
BLOCK– Block the content and replace it with blocked messaging.NONE– Take no action but return detection information in the trace response.
- See:
- Type:
Specifies the action to take when harmful content is detected in the output. Supported values include
- output_enabled
Specifies whether to enable guardrail evaluation on the output.
When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.
- type
The managed word type to configure for the guardrail.
PiiEntityConfigProperty
- class CfnGuardrailPropsMixin.PiiEntityConfigProperty(*, action=None, input_action=None, input_enabled=None, output_action=None, output_enabled=None, type=None)
Bases:
objectThe PII entity to configure for the guardrail.
- Parameters:
action (
Optional[str]) – Configure guardrail action when the PII entity is detected.input_action (
Optional[str]) – Specifies the action to take when harmful content is detected in the input. Supported values include:. -BLOCK– Block the content and replace it with blocked messaging. -ANONYMIZE– Mask the content and replace it with identifier tags. -NONE– Take no action but return detection information in the trace response.input_enabled (
Union[bool,IResolvable,None]) – Specifies whether to enable guardrail evaluation on the input. When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.output_action (
Optional[str]) – Specifies the action to take when harmful content is detected in the output. Supported values include:. -BLOCK– Block the content and replace it with blocked messaging. -ANONYMIZE– Mask the content and replace it with identifier tags. -NONE– Take no action but return detection information in the trace response.output_enabled (
Union[bool,IResolvable,None]) – Indicates whether guardrail evaluation is enabled on the output. When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.type (
Optional[str]) – Configure guardrail type when the PII entity is detected. The following PIIs are used to block or mask sensitive information: - General - ADDRESS A physical address, such as “100 Main Street, Anytown, USA” or “Suite #12, Building 123”. An address can include information such as the street, building, location, city, state, country, county, zip code, precinct, and neighborhood. - AGE An individual’s age, including the quantity and unit of time. For example, in the phrase “I am 40 years old,” Guardrails recognizes “40 years” as an age. - NAME An individual’s name. This entity type does not include titles, such as Dr., Mr., Mrs., or Miss. guardrails doesn’t apply this entity type to names that are part of organizations or addresses. For example, guardrails recognizes the “John Doe Organization” as an organization, and it recognizes “Jane Doe Street” as an address. - EMAIL An email address, such as marymajor@email.com . - PHONE A phone number. This entity type also includes fax and pager numbers. - USERNAME A user name that identifies an account, such as a login name, screen name, nick name, or handle. - PASSWORD An alphanumeric string that is used as a password, such as “* very20special#pass* “. - DRIVER_ID The number assigned to a driver’s license, which is an official document permitting an individual to operate one or more motorized vehicles on a public road. A driver’s license number consists of alphanumeric characters. - LICENSE_PLATE A license plate for a vehicle is issued by the state or country where the vehicle is registered. The format for passenger vehicles is typically five to eight digits, consisting of upper-case letters and numbers. The format varies depending on the location of the issuing state or country. - VEHICLE_IDENTIFICATION_NUMBER A Vehicle Identification Number (VIN) uniquely identifies a vehicle. VIN content and format are defined in the ISO 3779 specification. Each country has specific codes and formats for VINs. - Finance - CREDIT_DEBIT_CARD_CVV A three-digit card verification code (CVV) that is present on VISA, MasterCard, and Discover credit and debit cards. For American Express credit or debit cards, the CVV is a four-digit numeric code. - CREDIT_DEBIT_CARD_EXPIRY The expiration date for a credit or debit card. This number is usually four digits long and is often formatted as month/year or MM/YY . Guardrails recognizes expiration dates such as 01/21 , 01/2021 , and Jan 2021 . - CREDIT_DEBIT_CARD_NUMBER The number for a credit or debit card. These numbers can vary from 13 to 16 digits in length. However, Amazon Comprehend also recognizes credit or debit card numbers when only the last four digits are present. - PIN A four-digit personal identification number (PIN) with which you can access your bank account. - INTERNATIONAL_BANK_ACCOUNT_NUMBER An International Bank Account Number has specific formats in each country. For more information, see www.iban.com/structure . - SWIFT_CODE A SWIFT code is a standard format of Bank Identifier Code (BIC) used to specify a particular bank or branch. Banks use these codes for money transfers such as international wire transfers. SWIFT codes consist of eight or 11 characters. The 11-digit codes refer to specific branches, while eight-digit codes (or 11-digit codes ending in ‘XXX’) refer to the head or primary office. - IT - IP_ADDRESS An IPv4 address, such as 198.51.100.0 . - MAC_ADDRESS A media access control (MAC) address is a unique identifier assigned to a network interface controller (NIC). - URL A web address, such as www.example.com . - AWS_ACCESS_KEY A unique identifier that’s associated with a secret access key; you use the access key ID and secret access key to sign programmatic AWS requests cryptographically. - AWS_SECRET_KEY A unique identifier that’s associated with an access key. You use the access key ID and secret access key to sign programmatic AWS requests cryptographically. - USA specific - US_BANK_ACCOUNT_NUMBER A US bank account number, which is typically 10 to 12 digits long. - US_BANK_ROUTING_NUMBER A US bank account routing number. These are typically nine digits long, - US_INDIVIDUAL_TAX_IDENTIFICATION_NUMBER A US Individual Taxpayer Identification Number (ITIN) is a nine-digit number that starts with a “9” and contain a “7” or “8” as the fourth digit. An ITIN can be formatted with a space or a dash after the third and forth digits. - US_PASSPORT_NUMBER A US passport number. Passport numbers range from six to nine alphanumeric characters. - US_SOCIAL_SECURITY_NUMBER A US Social Security Number (SSN) is a nine-digit number that is issued to US citizens, permanent residents, and temporary working residents. - Canada specific - CA_HEALTH_NUMBER A Canadian Health Service Number is a 10-digit unique identifier, required for individuals to access healthcare benefits. - CA_SOCIAL_INSURANCE_NUMBER A Canadian Social Insurance Number (SIN) is a nine-digit unique identifier, required for individuals to access government programs and benefits. The SIN is formatted as three groups of three digits, such as 123-456-789 . A SIN can be validated through a simple check-digit process called the Luhn algorithm . - UK Specific - UK_NATIONAL_HEALTH_SERVICE_NUMBER A UK National Health Service Number is a 10-17 digit number, such as 485 777 3456 . The current system formats the 10-digit number with spaces after the third and sixth digits. The final digit is an error-detecting checksum. - UK_NATIONAL_INSURANCE_NUMBER A UK National Insurance Number (NINO) provides individuals with access to National Insurance (social security) benefits. It is also used for some purposes in the UK tax system. The number is nine digits long and starts with two letters, followed by six numbers and one letter. A NINO can be formatted with a space or a dash after the two letters and after the second, forth, and sixth digits. - UK_UNIQUE_TAXPAYER_REFERENCE_NUMBER A UK Unique Taxpayer Reference (UTR) is a 10-digit number that identifies a taxpayer or a business. - Custom - Regex filter - You can use a regular expressions to define patterns for a guardrail to recognize and act upon such as serial number, booking ID etc..
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_bedrock import mixins as bedrock_mixins pii_entity_config_property = bedrock_mixins.CfnGuardrailPropsMixin.PiiEntityConfigProperty( action="action", input_action="inputAction", input_enabled=False, output_action="outputAction", output_enabled=False, type="type" )
Attributes
- action
Configure guardrail action when the PII entity is detected.
- input_action
.
BLOCK– Block the content and replace it with blocked messaging.ANONYMIZE– Mask the content and replace it with identifier tags.NONE– Take no action but return detection information in the trace response.
- See:
- Type:
Specifies the action to take when harmful content is detected in the input. Supported values include
- input_enabled
Specifies whether to enable guardrail evaluation on the input.
When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.
- output_action
.
BLOCK– Block the content and replace it with blocked messaging.ANONYMIZE– Mask the content and replace it with identifier tags.NONE– Take no action but return detection information in the trace response.
- See:
- Type:
Specifies the action to take when harmful content is detected in the output. Supported values include
- output_enabled
Indicates whether guardrail evaluation is enabled on the output.
When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.
- type
Configure guardrail type when the PII entity is detected.
The following PIIs are used to block or mask sensitive information:
General
ADDRESS
A physical address, such as “100 Main Street, Anytown, USA” or “Suite #12, Building 123”. An address can include information such as the street, building, location, city, state, country, county, zip code, precinct, and neighborhood.
AGE
An individual’s age, including the quantity and unit of time. For example, in the phrase “I am 40 years old,” Guardrails recognizes “40 years” as an age.
NAME
An individual’s name. This entity type does not include titles, such as Dr., Mr., Mrs., or Miss. guardrails doesn’t apply this entity type to names that are part of organizations or addresses. For example, guardrails recognizes the “John Doe Organization” as an organization, and it recognizes “Jane Doe Street” as an address.
EMAIL
An email address, such as marymajor@email.com .
PHONE
A phone number. This entity type also includes fax and pager numbers.
USERNAME
A user name that identifies an account, such as a login name, screen name, nick name, or handle.
PASSWORD
An alphanumeric string that is used as a password, such as “* very20special#pass* “.
DRIVER_ID
The number assigned to a driver’s license, which is an official document permitting an individual to operate one or more motorized vehicles on a public road. A driver’s license number consists of alphanumeric characters.
LICENSE_PLATE
A license plate for a vehicle is issued by the state or country where the vehicle is registered. The format for passenger vehicles is typically five to eight digits, consisting of upper-case letters and numbers. The format varies depending on the location of the issuing state or country.
VEHICLE_IDENTIFICATION_NUMBER
A Vehicle Identification Number (VIN) uniquely identifies a vehicle. VIN content and format are defined in the ISO 3779 specification. Each country has specific codes and formats for VINs.
Finance
CREDIT_DEBIT_CARD_CVV
A three-digit card verification code (CVV) that is present on VISA, MasterCard, and Discover credit and debit cards. For American Express credit or debit cards, the CVV is a four-digit numeric code.
CREDIT_DEBIT_CARD_EXPIRY
The expiration date for a credit or debit card. This number is usually four digits long and is often formatted as month/year or MM/YY . Guardrails recognizes expiration dates such as 01/21 , 01/2021 , and Jan 2021 .
CREDIT_DEBIT_CARD_NUMBER
The number for a credit or debit card. These numbers can vary from 13 to 16 digits in length. However, Amazon Comprehend also recognizes credit or debit card numbers when only the last four digits are present.
PIN
A four-digit personal identification number (PIN) with which you can access your bank account.
INTERNATIONAL_BANK_ACCOUNT_NUMBER
An International Bank Account Number has specific formats in each country. For more information, see www.iban.com/structure .
SWIFT_CODE
A SWIFT code is a standard format of Bank Identifier Code (BIC) used to specify a particular bank or branch. Banks use these codes for money transfers such as international wire transfers.
SWIFT codes consist of eight or 11 characters. The 11-digit codes refer to specific branches, while eight-digit codes (or 11-digit codes ending in ‘XXX’) refer to the head or primary office.
IT
IP_ADDRESS
An IPv4 address, such as 198.51.100.0 .
MAC_ADDRESS
A media access control (MAC) address is a unique identifier assigned to a network interface controller (NIC).
URL
A web address, such as www.example.com .
AWS_ACCESS_KEY
A unique identifier that’s associated with a secret access key; you use the access key ID and secret access key to sign programmatic AWS requests cryptographically.
AWS_SECRET_KEY
A unique identifier that’s associated with an access key. You use the access key ID and secret access key to sign programmatic AWS requests cryptographically.
USA specific
US_BANK_ACCOUNT_NUMBER
A US bank account number, which is typically 10 to 12 digits long.
US_BANK_ROUTING_NUMBER
A US bank account routing number. These are typically nine digits long,
US_INDIVIDUAL_TAX_IDENTIFICATION_NUMBER
A US Individual Taxpayer Identification Number (ITIN) is a nine-digit number that starts with a “9” and contain a “7” or “8” as the fourth digit. An ITIN can be formatted with a space or a dash after the third and forth digits.
US_PASSPORT_NUMBER
A US passport number. Passport numbers range from six to nine alphanumeric characters.
US_SOCIAL_SECURITY_NUMBER
A US Social Security Number (SSN) is a nine-digit number that is issued to US citizens, permanent residents, and temporary working residents.
Canada specific
CA_HEALTH_NUMBER
A Canadian Health Service Number is a 10-digit unique identifier, required for individuals to access healthcare benefits.
CA_SOCIAL_INSURANCE_NUMBER
A Canadian Social Insurance Number (SIN) is a nine-digit unique identifier, required for individuals to access government programs and benefits.
The SIN is formatted as three groups of three digits, such as 123-456-789 . A SIN can be validated through a simple check-digit process called the Luhn algorithm .
UK Specific
UK_NATIONAL_HEALTH_SERVICE_NUMBER
A UK National Health Service Number is a 10-17 digit number, such as 485 777 3456 . The current system formats the 10-digit number with spaces after the third and sixth digits. The final digit is an error-detecting checksum.
UK_NATIONAL_INSURANCE_NUMBER
A UK National Insurance Number (NINO) provides individuals with access to National Insurance (social security) benefits. It is also used for some purposes in the UK tax system.
The number is nine digits long and starts with two letters, followed by six numbers and one letter. A NINO can be formatted with a space or a dash after the two letters and after the second, forth, and sixth digits.
UK_UNIQUE_TAXPAYER_REFERENCE_NUMBER
A UK Unique Taxpayer Reference (UTR) is a 10-digit number that identifies a taxpayer or a business.
Custom
Regex filter - You can use a regular expressions to define patterns for a guardrail to recognize and act upon such as serial number, booking ID etc..
RegexConfigProperty
- class CfnGuardrailPropsMixin.RegexConfigProperty(*, action=None, description=None, input_action=None, input_enabled=None, name=None, output_action=None, output_enabled=None, pattern=None)
Bases:
objectThe regular expression to configure for the guardrail.
- Parameters:
action (
Optional[str]) – The guardrail action to configure when matching regular expression is detected.description (
Optional[str]) – The description of the regular expression to configure for the guardrail.input_action (
Optional[str]) – Specifies the action to take when harmful content is detected in the input. Supported values include:. -BLOCK– Block the content and replace it with blocked messaging. -NONE– Take no action but return detection information in the trace response.input_enabled (
Union[bool,IResolvable,None]) – Specifies whether to enable guardrail evaluation on the input. When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.name (
Optional[str]) – The name of the regular expression to configure for the guardrail.output_action (
Optional[str]) – Specifies the action to take when harmful content is detected in the output. Supported values include:. -BLOCK– Block the content and replace it with blocked messaging. -NONE– Take no action but return detection information in the trace response.output_enabled (
Union[bool,IResolvable,None]) – Specifies whether to enable guardrail evaluation on the output. When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.pattern (
Optional[str]) – The regular expression pattern to configure for the guardrail.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_bedrock import mixins as bedrock_mixins regex_config_property = bedrock_mixins.CfnGuardrailPropsMixin.RegexConfigProperty( action="action", description="description", input_action="inputAction", input_enabled=False, name="name", output_action="outputAction", output_enabled=False, pattern="pattern" )
Attributes
- action
The guardrail action to configure when matching regular expression is detected.
- description
The description of the regular expression to configure for the guardrail.
- input_action
.
BLOCK– Block the content and replace it with blocked messaging.NONE– Take no action but return detection information in the trace response.
- See:
- Type:
Specifies the action to take when harmful content is detected in the input. Supported values include
- input_enabled
Specifies whether to enable guardrail evaluation on the input.
When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.
- name
The name of the regular expression to configure for the guardrail.
- output_action
.
BLOCK– Block the content and replace it with blocked messaging.NONE– Take no action but return detection information in the trace response.
- See:
- Type:
Specifies the action to take when harmful content is detected in the output. Supported values include
- output_enabled
Specifies whether to enable guardrail evaluation on the output.
When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.
- pattern
The regular expression pattern to configure for the guardrail.
SensitiveInformationPolicyConfigProperty
- class CfnGuardrailPropsMixin.SensitiveInformationPolicyConfigProperty(*, pii_entities_config=None, regexes_config=None)
Bases:
objectContains details about PII entities and regular expressions to configure for the guardrail.
- Parameters:
pii_entities_config (
Union[IResolvable,Sequence[Union[IResolvable,PiiEntityConfigProperty,Dict[str,Any]]],None]) – A list of PII entities to configure to the guardrail.regexes_config (
Union[IResolvable,Sequence[Union[IResolvable,RegexConfigProperty,Dict[str,Any]]],None]) – A list of regular expressions to configure to the guardrail.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_bedrock import mixins as bedrock_mixins sensitive_information_policy_config_property = bedrock_mixins.CfnGuardrailPropsMixin.SensitiveInformationPolicyConfigProperty( pii_entities_config=[bedrock_mixins.CfnGuardrailPropsMixin.PiiEntityConfigProperty( action="action", input_action="inputAction", input_enabled=False, output_action="outputAction", output_enabled=False, type="type" )], regexes_config=[bedrock_mixins.CfnGuardrailPropsMixin.RegexConfigProperty( action="action", description="description", input_action="inputAction", input_enabled=False, name="name", output_action="outputAction", output_enabled=False, pattern="pattern" )] )
Attributes
- pii_entities_config
A list of PII entities to configure to the guardrail.
- regexes_config
A list of regular expressions to configure to the guardrail.
TopicConfigProperty
- class CfnGuardrailPropsMixin.TopicConfigProperty(*, definition=None, examples=None, input_action=None, input_enabled=None, name=None, output_action=None, output_enabled=None, type=None)
Bases:
objectDetails about topics for the guardrail to identify and deny.
- Parameters:
definition (
Optional[str]) – A definition of the topic to deny.examples (
Optional[Sequence[str]]) – A list of prompts, each of which is an example of a prompt that can be categorized as belonging to the topic.input_action (
Optional[str]) – Specifies the action to take when harmful content is detected in the input. Supported values include:. -BLOCK– Block the content and replace it with blocked messaging. -NONE– Take no action but return detection information in the trace response.input_enabled (
Union[bool,IResolvable,None]) – Specifies whether to enable guardrail evaluation on the input. When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.name (
Optional[str]) – The name of the topic to deny.output_action (
Optional[str]) – Specifies the action to take when harmful content is detected in the output. Supported values include:. -BLOCK– Block the content and replace it with blocked messaging. -NONE– Take no action but return detection information in the trace response.output_enabled (
Union[bool,IResolvable,None]) – Specifies whether to enable guardrail evaluation on the output. When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.type (
Optional[str]) – Specifies to deny the topic.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_bedrock import mixins as bedrock_mixins topic_config_property = bedrock_mixins.CfnGuardrailPropsMixin.TopicConfigProperty( definition="definition", examples=["examples"], input_action="inputAction", input_enabled=False, name="name", output_action="outputAction", output_enabled=False, type="type" )
Attributes
- definition
A definition of the topic to deny.
- examples
A list of prompts, each of which is an example of a prompt that can be categorized as belonging to the topic.
- input_action
.
BLOCK– Block the content and replace it with blocked messaging.NONE– Take no action but return detection information in the trace response.
- See:
- Type:
Specifies the action to take when harmful content is detected in the input. Supported values include
- input_enabled
Specifies whether to enable guardrail evaluation on the input.
When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.
- name
The name of the topic to deny.
- output_action
.
BLOCK– Block the content and replace it with blocked messaging.NONE– Take no action but return detection information in the trace response.
- See:
- Type:
Specifies the action to take when harmful content is detected in the output. Supported values include
- output_enabled
Specifies whether to enable guardrail evaluation on the output.
When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.
- type
Specifies to deny the topic.
TopicPolicyConfigProperty
- class CfnGuardrailPropsMixin.TopicPolicyConfigProperty(*, topics_config=None, topics_tier_config=None)
Bases:
objectContains details about topics that the guardrail should identify and deny.
- Parameters:
topics_config (
Union[IResolvable,Sequence[Union[IResolvable,TopicConfigProperty,Dict[str,Any]]],None]) – A list of policies related to topics that the guardrail should deny.topics_tier_config (
Union[IResolvable,TopicsTierConfigProperty,Dict[str,Any],None]) – The tier that your guardrail uses for denied topic filters.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_bedrock import mixins as bedrock_mixins topic_policy_config_property = bedrock_mixins.CfnGuardrailPropsMixin.TopicPolicyConfigProperty( topics_config=[bedrock_mixins.CfnGuardrailPropsMixin.TopicConfigProperty( definition="definition", examples=["examples"], input_action="inputAction", input_enabled=False, name="name", output_action="outputAction", output_enabled=False, type="type" )], topics_tier_config=bedrock_mixins.CfnGuardrailPropsMixin.TopicsTierConfigProperty( tier_name="tierName" ) )
Attributes
- topics_config
A list of policies related to topics that the guardrail should deny.
- topics_tier_config
The tier that your guardrail uses for denied topic filters.
TopicsTierConfigProperty
- class CfnGuardrailPropsMixin.TopicsTierConfigProperty(*, tier_name=None)
Bases:
objectThe tier that your guardrail uses for denied topic filters.
Consider using a tier that balances performance, accuracy, and compatibility with your existing generative AI workflows.
- Parameters:
tier_name (
Optional[str]) –The tier that your guardrail uses for denied topic filters. Valid values include:. -
CLASSICtier – Provides established guardrails functionality supporting English, French, and Spanish languages. -STANDARDtier – Provides a more robust solution than theCLASSICtier and has more comprehensive language support. This tier requires that your guardrail use cross-Region inference .- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_bedrock import mixins as bedrock_mixins topics_tier_config_property = bedrock_mixins.CfnGuardrailPropsMixin.TopicsTierConfigProperty( tier_name="tierName" )
Attributes
- tier_name
.
CLASSICtier – Provides established guardrails functionality supporting English, French, and Spanish languages.STANDARDtier – Provides a more robust solution than theCLASSICtier and has more comprehensive language support. This tier requires that your guardrail use cross-Region inference .
- See:
- Type:
The tier that your guardrail uses for denied topic filters. Valid values include
WordConfigProperty
- class CfnGuardrailPropsMixin.WordConfigProperty(*, input_action=None, input_enabled=None, output_action=None, output_enabled=None, text=None)
Bases:
objectA word to configure for the guardrail.
- Parameters:
input_action (
Optional[str]) – Specifies the action to take when harmful content is detected in the input. Supported values include:. -BLOCK– Block the content and replace it with blocked messaging. -NONE– Take no action but return detection information in the trace response.input_enabled (
Union[bool,IResolvable,None]) – Specifies whether to enable guardrail evaluation on the intput. When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.output_action (
Optional[str]) – Specifies the action to take when harmful content is detected in the output. Supported values include:. -BLOCK– Block the content and replace it with blocked messaging. -NONE– Take no action but return detection information in the trace response.output_enabled (
Union[bool,IResolvable,None]) – Specifies whether to enable guardrail evaluation on the output. When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.text (
Optional[str]) – Text of the word configured for the guardrail to block.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_bedrock import mixins as bedrock_mixins word_config_property = bedrock_mixins.CfnGuardrailPropsMixin.WordConfigProperty( input_action="inputAction", input_enabled=False, output_action="outputAction", output_enabled=False, text="text" )
Attributes
- input_action
.
BLOCK– Block the content and replace it with blocked messaging.NONE– Take no action but return detection information in the trace response.
- See:
- Type:
Specifies the action to take when harmful content is detected in the input. Supported values include
- input_enabled
Specifies whether to enable guardrail evaluation on the intput.
When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.
- output_action
.
BLOCK– Block the content and replace it with blocked messaging.NONE– Take no action but return detection information in the trace response.
- See:
- Type:
Specifies the action to take when harmful content is detected in the output. Supported values include
- output_enabled
Specifies whether to enable guardrail evaluation on the output.
When disabled, you aren’t charged for the evaluation. The evaluation doesn’t appear in the response.
- text
Text of the word configured for the guardrail to block.
WordPolicyConfigProperty
- class CfnGuardrailPropsMixin.WordPolicyConfigProperty(*, managed_word_lists_config=None, words_config=None)
Bases:
objectContains details about the word policy to configured for the guardrail.
- Parameters:
managed_word_lists_config (
Union[IResolvable,Sequence[Union[IResolvable,ManagedWordsConfigProperty,Dict[str,Any]]],None]) – A list of managed words to configure for the guardrail.words_config (
Union[IResolvable,Sequence[Union[IResolvable,WordConfigProperty,Dict[str,Any]]],None]) – A list of words to configure for the guardrail.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk.mixins_preview.aws_bedrock import mixins as bedrock_mixins word_policy_config_property = bedrock_mixins.CfnGuardrailPropsMixin.WordPolicyConfigProperty( managed_word_lists_config=[bedrock_mixins.CfnGuardrailPropsMixin.ManagedWordsConfigProperty( input_action="inputAction", input_enabled=False, output_action="outputAction", output_enabled=False, type="type" )], words_config=[bedrock_mixins.CfnGuardrailPropsMixin.WordConfigProperty( input_action="inputAction", input_enabled=False, output_action="outputAction", output_enabled=False, text="text" )] )
Attributes
- managed_word_lists_config
A list of managed words to configure for the guardrail.
- words_config
A list of words to configure for the guardrail.