CfnGuardrail
- class aws_cdk.aws_bedrock.CfnGuardrail(scope, id, *, blocked_input_messaging, blocked_outputs_messaging, name, content_policy_config=None, description=None, kms_key_arn=None, sensitive_information_policy_config=None, tags=None, topic_policy_config=None, word_policy_config=None)
Bases:
CfnResource
Creates a guardrail to block topics and to implement safeguards for your generative AI applications.
You can configure denied topics to disallow undesirable topics and content filters to block harmful content in model inputs and responses. For more information, see Guardrails for Amazon Bedrock in the Amazon Bedrock User Guide
- See:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-bedrock-guardrail.html
- CloudformationResource:
AWS::Bedrock::Guardrail
- 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 import aws_bedrock as bedrock cfn_guardrail = bedrock.CfnGuardrail(self, "MyCfnGuardrail", blocked_input_messaging="blockedInputMessaging", blocked_outputs_messaging="blockedOutputsMessaging", name="name", # the properties below are optional content_policy_config=bedrock.CfnGuardrail.ContentPolicyConfigProperty( filters_config=[bedrock.CfnGuardrail.ContentFilterConfigProperty( input_strength="inputStrength", output_strength="outputStrength", type="type" )] ), description="description", kms_key_arn="kmsKeyArn", sensitive_information_policy_config=bedrock.CfnGuardrail.SensitiveInformationPolicyConfigProperty( pii_entities_config=[bedrock.CfnGuardrail.PiiEntityConfigProperty( action="action", type="type" )], regexes_config=[bedrock.CfnGuardrail.RegexConfigProperty( action="action", name="name", pattern="pattern", # the properties below are optional description="description" )] ), tags=[CfnTag( key="key", value="value" )], topic_policy_config=bedrock.CfnGuardrail.TopicPolicyConfigProperty( topics_config=[bedrock.CfnGuardrail.TopicConfigProperty( definition="definition", name="name", type="type", # the properties below are optional examples=["examples"] )] ), word_policy_config=bedrock.CfnGuardrail.WordPolicyConfigProperty( managed_word_lists_config=[bedrock.CfnGuardrail.ManagedWordsConfigProperty( type="type" )], words_config=[bedrock.CfnGuardrail.WordConfigProperty( text="text" )] ) )
- Parameters:
scope (
Construct
) – Scope in which this resource is defined.id (
str
) – Construct identifier for this resource (unique in its scope).blocked_input_messaging (
str
) – The message to return when the guardrail blocks a prompt.blocked_outputs_messaging (
str
) – The message to return when the guardrail blocks a model response.name (
str
) – The name of the guardrail.content_policy_config (
Union
[IResolvable
,ContentPolicyConfigProperty
,Dict
[str
,Any
],None
]) – Content policy config for a guardrail.description (
Optional
[str
]) – A description of the guardrail.kms_key_arn (
Optional
[str
]) – The ARN of the AWS KMS key used to encrypt the guardrail.sensitive_information_policy_config (
Union
[IResolvable
,SensitiveInformationPolicyConfigProperty
,Dict
[str
,Any
],None
]) – Sensitive information policy config for a guardrail.tags (
Optional
[Sequence
[Union
[CfnTag
,Dict
[str
,Any
]]]]) – Metadata that you can assign to a guardrail as key-value pairs. For more information, see the following resources:. - Tag naming limits and requirements - Tagging best practicestopic_policy_config (
Union
[IResolvable
,TopicPolicyConfigProperty
,Dict
[str
,Any
],None
]) – Topic policy config for a guardrail.word_policy_config (
Union
[IResolvable
,WordPolicyConfigProperty
,Dict
[str
,Any
],None
]) – Word policy config for a guardrail.
Methods
- add_deletion_override(path)
Syntactic sugar for
addOverride(path, undefined)
.- Parameters:
path (
str
) – The path of the value to delete.- Return type:
None
- add_dependency(target)
Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
This can be used for resources across stacks (or nested stack) boundaries and the dependency will automatically be transferred to the relevant scope.
- Parameters:
target (
CfnResource
) –- Return type:
None
- add_depends_on(target)
(deprecated) Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
- Parameters:
target (
CfnResource
) –- Deprecated:
use addDependency
- Stability:
deprecated
- Return type:
None
- add_metadata(key, value)
Add a value to the CloudFormation Resource Metadata.
- Parameters:
key (
str
) –value (
Any
) –
- See:
- Return type:
None
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- add_override(path, value)
Adds an override to the synthesized CloudFormation resource.
To add a property override, either use
addPropertyOverride
or prefixpath
with “Properties.” (i.e.Properties.TopicName
).If the override is nested, separate each nested level using a dot (.) in the path parameter. If there is an array as part of the nesting, specify the index in the path.
To include a literal
.
in the property name, prefix with a\
. In most programming languages you will need to write this as"\\."
because the\
itself will need to be escaped.For example:
cfn_resource.add_override("Properties.GlobalSecondaryIndexes.0.Projection.NonKeyAttributes", ["myattribute"]) cfn_resource.add_override("Properties.GlobalSecondaryIndexes.1.ProjectionType", "INCLUDE")
would add the overrides Example:
"Properties": { "GlobalSecondaryIndexes": [ { "Projection": { "NonKeyAttributes": [ "myattribute" ] ... } ... }, { "ProjectionType": "INCLUDE" ... }, ] ... }
The
value
argument toaddOverride
will not be processed or translated in any way. Pass raw JSON values in here with the correct capitalization for CloudFormation. If you pass CDK classes or structs, they will be rendered with lowercased key names, and CloudFormation will reject the template.- Parameters:
path (
str
) –The path of the property, you can use dot notation to override values in complex types. Any intermediate keys will be created as needed.
value (
Any
) –The value. Could be primitive or complex.
- Return type:
None
- add_property_deletion_override(property_path)
Adds an override that deletes the value of a property from the resource definition.
- Parameters:
property_path (
str
) – The path to the property.- Return type:
None
- add_property_override(property_path, value)
Adds an override to a resource property.
Syntactic sugar for
addOverride("Properties.<...>", value)
.- Parameters:
property_path (
str
) – The path of the property.value (
Any
) – The value.
- Return type:
None
- apply_removal_policy(policy=None, *, apply_to_update_replace_policy=None, default=None)
Sets the deletion policy of the resource based on the removal policy specified.
The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you’ve removed it from the CDK application or because you’ve made a change that requires the resource to be replaced.
The resource can be deleted (
RemovalPolicy.DESTROY
), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN
). In some cases, a snapshot can be taken of the resource prior to deletion (RemovalPolicy.SNAPSHOT
). A list of resources that support this policy can be found in the following link:- Parameters:
policy (
Optional
[RemovalPolicy
]) –apply_to_update_replace_policy (
Optional
[bool
]) – Apply the same deletion policy to the resource’s “UpdateReplacePolicy”. Default: truedefault (
Optional
[RemovalPolicy
]) – The default policy to apply in case the removal policy is not defined. Default: - Default value is resource specific. To determine the default value for a resource, please consult that specific resource’s documentation.
- See:
- Return type:
None
- get_att(attribute_name, type_hint=None)
Returns a token for an runtime attribute of this resource.
Ideally, use generated attribute accessors (e.g.
resource.arn
), but this can be used for future compatibility in case there is no generated attribute.- Parameters:
attribute_name (
str
) – The name of the attribute.type_hint (
Optional
[ResolutionTypeHint
]) –
- Return type:
- get_metadata(key)
Retrieve a value value from the CloudFormation Resource Metadata.
- Parameters:
key (
str
) –- See:
- Return type:
Any
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- inspect(inspector)
Examines the CloudFormation resource and discloses attributes.
- Parameters:
inspector (
TreeInspector
) – tree inspector to collect and process attributes.- Return type:
None
- obtain_dependencies()
Retrieves an array of resources this resource depends on.
This assembles dependencies on resources across stacks (including nested stacks) automatically.
- Return type:
List
[Union
[Stack
,CfnResource
]]
- obtain_resource_dependencies()
Get a shallow copy of dependencies between this resource and other resources in the same stack.
- Return type:
List
[CfnResource
]
- override_logical_id(new_logical_id)
Overrides the auto-generated logical ID with a specific ID.
- Parameters:
new_logical_id (
str
) – The new logical ID to use for this stack element.- Return type:
None
- remove_dependency(target)
Indicates that this resource no longer depends on another resource.
This can be used for resources across stacks (including nested stacks) and the dependency will automatically be removed from the relevant scope.
- Parameters:
target (
CfnResource
) –- Return type:
None
- replace_dependency(target, new_target)
Replaces one dependency with another.
- Parameters:
target (
CfnResource
) – The dependency to replace.new_target (
CfnResource
) – The new dependency to add.
- Return type:
None
- to_string()
Returns a string representation of this construct.
- Return type:
str
- Returns:
a string representation of this resource
Attributes
- CFN_RESOURCE_TYPE_NAME = 'AWS::Bedrock::Guardrail'
- attr_created_at
The date and time at which the guardrail was created.
- CloudformationAttribute:
CreatedAt
- attr_failure_recommendations
List of failure recommendations.
- CloudformationAttribute:
FailureRecommendations
- attr_guardrail_arn
The Amazon Resource Name (ARN) of the guardrail.
This a the primary identifier for the guardrail.
- CloudformationAttribute:
GuardrailArn
- attr_guardrail_id
The unique identifier of the guardrail.
- CloudformationAttribute:
GuardrailId
- attr_status
Status of the guardrail.
- CloudformationAttribute:
Status
- attr_status_reasons
List of status reasons.
- CloudformationAttribute:
StatusReasons
- attr_updated_at
The date and time at which the guardrail was last updated.
- CloudformationAttribute:
UpdatedAt
- attr_version
The version of the guardrail.
- CloudformationAttribute:
Version
- blocked_input_messaging
The message to return when the guardrail blocks a prompt.
- blocked_outputs_messaging
The message to return when the guardrail blocks a model response.
- cdk_tag_manager
Tag Manager which manages the tags for this resource.
- cfn_options
Options for this resource, such as condition, update policy etc.
- cfn_resource_type
AWS resource type.
- content_policy_config
Content policy config for a guardrail.
- creation_stack
return:
the stack trace of the point where this Resource was created from, sourced from the +metadata+ entry typed +aws:cdk:logicalId+, and with the bottom-most node +internal+ entries filtered.
- description
A description of the guardrail.
- kms_key_arn
The ARN of the AWS KMS key used to encrypt the guardrail.
- logical_id
The logical ID for this CloudFormation stack element.
The logical ID of the element is calculated from the path of the resource node in the construct tree.
To override this value, use
overrideLogicalId(newLogicalId)
.- Returns:
the logical ID as a stringified token. This value will only get resolved during synthesis.
- name
The name of the guardrail.
- node
The tree node.
- ref
Return a string that will be resolved to a CloudFormation
{ Ref }
for this element.If, by any chance, the intrinsic reference of a resource is not a string, you could coerce it to an IResolvable through
Lazy.any({ produce: resource.ref })
.
- sensitive_information_policy_config
Sensitive information policy config for a guardrail.
- stack
The stack in which this element is defined.
CfnElements must be defined within a stack scope (directly or indirectly).
- tags
Metadata that you can assign to a guardrail as key-value pairs.
For more information, see the following resources:.
- topic_policy_config
Topic policy config for a guardrail.
- word_policy_config
Word policy config for a guardrail.
Static Methods
- classmethod is_cfn_element(x)
Returns
true
if a construct is a stack element (i.e. part of the synthesized cloudformation template).Uses duck-typing instead of
instanceof
to allow stack elements from different versions of this library to be included in the same stack.- Parameters:
x (
Any
) –- Return type:
bool
- Returns:
The construct as a stack element or undefined if it is not a stack element.
- classmethod is_cfn_resource(x)
Check whether the given object is a CfnResource.
- Parameters:
x (
Any
) –- Return type:
bool
- classmethod is_construct(x)
Checks if
x
is a construct.Use this method instead of
instanceof
to properly detectConstruct
instances, even when the construct library is symlinked.Explanation: in JavaScript, multiple copies of the
constructs
library on disk are seen as independent, completely different libraries. As a consequence, the classConstruct
in each copy of theconstructs
library is seen as a different class, and an instance of one class will not test asinstanceof
the other class.npm install
will not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of theconstructs
library can be accidentally installed, andinstanceof
will behave unpredictably. It is safest to avoid usinginstanceof
, and using this type-testing method instead.- Parameters:
x (
Any
) – Any object.- Return type:
bool
- Returns:
true if
x
is an object created from a class which extendsConstruct
.
ContentFilterConfigProperty
- class CfnGuardrail.ContentFilterConfigProperty(*, input_strength, output_strength, type)
Bases:
object
Content filter config in content policy.
- Parameters:
input_strength (
str
) – Strength for filters.output_strength (
str
) – Strength for filters.type (
str
) – Type of filter in content policy.
- 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 import aws_bedrock as bedrock content_filter_config_property = bedrock.CfnGuardrail.ContentFilterConfigProperty( input_strength="inputStrength", output_strength="outputStrength", type="type" )
Attributes
- input_strength
Strength for filters.
- output_strength
Strength for filters.
- type
Type of filter in content policy.
ContentPolicyConfigProperty
- class CfnGuardrail.ContentPolicyConfigProperty(*, filters_config)
Bases:
object
Content policy config for a guardrail.
- Parameters:
filters_config (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,ContentFilterConfigProperty
,Dict
[str
,Any
]]]]) – List of content filter configs in content policy.- 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 import aws_bedrock as bedrock content_policy_config_property = bedrock.CfnGuardrail.ContentPolicyConfigProperty( filters_config=[bedrock.CfnGuardrail.ContentFilterConfigProperty( input_strength="inputStrength", output_strength="outputStrength", type="type" )] )
Attributes
- filters_config
List of content filter configs in content policy.
ManagedWordsConfigProperty
- class CfnGuardrail.ManagedWordsConfigProperty(*, type)
Bases:
object
A managed words config.
- Parameters:
type (
str
) – Options for managed words.- 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 import aws_bedrock as bedrock managed_words_config_property = bedrock.CfnGuardrail.ManagedWordsConfigProperty( type="type" )
Attributes
PiiEntityConfigProperty
- class CfnGuardrail.PiiEntityConfigProperty(*, action, type)
Bases:
object
Pii entity configuration.
- Parameters:
action (
str
) – Options for sensitive information action.type (
str
) – The currently supported PII entities.
- 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 import aws_bedrock as bedrock pii_entity_config_property = bedrock.CfnGuardrail.PiiEntityConfigProperty( action="action", type="type" )
Attributes
- action
Options for sensitive information action.
- type
The currently supported PII entities.
RegexConfigProperty
- class CfnGuardrail.RegexConfigProperty(*, action, name, pattern, description=None)
Bases:
object
A regex configuration.
- Parameters:
action (
str
) – Options for sensitive information action.name (
str
) – The regex name.pattern (
str
) – The regex pattern.description (
Optional
[str
]) – The regex description.
- 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 import aws_bedrock as bedrock regex_config_property = bedrock.CfnGuardrail.RegexConfigProperty( action="action", name="name", pattern="pattern", # the properties below are optional description="description" )
Attributes
- action
Options for sensitive information action.
- description
The regex description.
- name
The regex name.
SensitiveInformationPolicyConfigProperty
- class CfnGuardrail.SensitiveInformationPolicyConfigProperty(*, pii_entities_config=None, regexes_config=None)
Bases:
object
Sensitive information policy config for a guardrail.
- Parameters:
pii_entities_config (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,PiiEntityConfigProperty
,Dict
[str
,Any
]]],None
]) – List of entities.regexes_config (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,RegexConfigProperty
,Dict
[str
,Any
]]],None
]) – List of regex.
- 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 import aws_bedrock as bedrock sensitive_information_policy_config_property = bedrock.CfnGuardrail.SensitiveInformationPolicyConfigProperty( pii_entities_config=[bedrock.CfnGuardrail.PiiEntityConfigProperty( action="action", type="type" )], regexes_config=[bedrock.CfnGuardrail.RegexConfigProperty( action="action", name="name", pattern="pattern", # the properties below are optional description="description" )] )
Attributes
- pii_entities_config
List of entities.
TopicConfigProperty
- class CfnGuardrail.TopicConfigProperty(*, definition, name, type, examples=None)
Bases:
object
Topic config in topic policy.
- Parameters:
definition (
str
) – Definition of topic in topic policy.name (
str
) – Name of topic in topic policy.type (
str
) – Type of topic in a policy.examples (
Optional
[Sequence
[str
]]) – List of text examples.
- 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 import aws_bedrock as bedrock topic_config_property = bedrock.CfnGuardrail.TopicConfigProperty( definition="definition", name="name", type="type", # the properties below are optional examples=["examples"] )
Attributes
- definition
Definition of topic in topic policy.
- examples
List of text examples.
- name
Name of topic in topic policy.
TopicPolicyConfigProperty
- class CfnGuardrail.TopicPolicyConfigProperty(*, topics_config)
Bases:
object
Topic policy config for a guardrail.
- Parameters:
topics_config (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,TopicConfigProperty
,Dict
[str
,Any
]]]]) – List of topic configs in topic policy.- 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 import aws_bedrock as bedrock topic_policy_config_property = bedrock.CfnGuardrail.TopicPolicyConfigProperty( topics_config=[bedrock.CfnGuardrail.TopicConfigProperty( definition="definition", name="name", type="type", # the properties below are optional examples=["examples"] )] )
Attributes
- topics_config
List of topic configs in topic policy.
WordConfigProperty
- class CfnGuardrail.WordConfigProperty(*, text)
Bases:
object
A custom word config.
- Parameters:
text (
str
) – The custom word text.- 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 import aws_bedrock as bedrock word_config_property = bedrock.CfnGuardrail.WordConfigProperty( text="text" )
Attributes
WordPolicyConfigProperty
- class CfnGuardrail.WordPolicyConfigProperty(*, managed_word_lists_config=None, words_config=None)
Bases:
object
Word policy config for a guardrail.
- Parameters:
managed_word_lists_config (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,ManagedWordsConfigProperty
,Dict
[str
,Any
]]],None
]) – A config for the list of managed words.words_config (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,WordConfigProperty
,Dict
[str
,Any
]]],None
]) – List of custom word 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 import aws_bedrock as bedrock word_policy_config_property = bedrock.CfnGuardrail.WordPolicyConfigProperty( managed_word_lists_config=[bedrock.CfnGuardrail.ManagedWordsConfigProperty( type="type" )], words_config=[bedrock.CfnGuardrail.WordConfigProperty( text="text" )] )
Attributes
- managed_word_lists_config
A config for the list of managed words.
- words_config
List of custom word configs.