Guardrail

class aws_cdk.aws_bedrock_alpha.Guardrail(scope, id, *, guardrail_name, blocked_input_messaging=None, blocked_outputs_messaging=None, content_filters=None, content_filters_tier_config=None, contextual_grounding_filters=None, cross_region_config=None, denied_topics=None, description=None, kms_key=None, managed_word_list_filters=None, pii_filters=None, regex_filters=None, topics_tier_config=None, word_filters=None)

Bases: GuardrailBase

(experimental) Class to create a Guardrail with CDK.

Stability:: experimental
CloudformationResource:: AWS::Bedrock::Guardrail
ExampleMetadata:: fixture=default infused

Example:

guardrail = bedrock.Guardrail(self, "bedrockGuardrails",
    guardrail_name="my-BedrockGuardrails"
)
# Add regex filter with input/output actions
guardrail.add_regex_filter(
    name="TestRegexFilter",
    pattern="test-pattern",
    action=bedrock.GuardrailAction.ANONYMIZE,
    # below props are optional
    description="This is a test regex filter",
    input_action=bedrock.GuardrailAction.BLOCK,
    input_enabled=True,
    output_action=bedrock.GuardrailAction.ANONYMIZE,
    output_enabled=True
)

Parameters:

scope (Construct)
id (str)
guardrail_name (str) – (experimental) The name of the guardrail. This will be used as the physical name of the guardrail.
blocked_input_messaging (Optional[str]) – (experimental) The message to return when the guardrail blocks a prompt. Must be between 1 and 500 characters. Default: “Sorry, your query violates our usage policy.”
blocked_outputs_messaging (Optional[str]) – (experimental) The message to return when the guardrail blocks a model response. Must be between 1 and 500 characters. Default: “Sorry, I am unable to answer your question because of our usage policy.”
content_filters (Optional[Sequence[Union[ContentFilter, Dict[str, Any]]]]) – (experimental) The content filters to apply to the guardrail. Default: []
content_filters_tier_config (Optional[TierConfig]) – (experimental) The tier configuration to apply to the guardrail. Default: filters.TierConfig.CLASSIC
contextual_grounding_filters (Optional[Sequence[Union[ContextualGroundingFilter, Dict[str, Any]]]]) – (experimental) The contextual grounding filters to apply to the guardrail. Default: []
cross_region_config (Union[GuardrailCrossRegionConfigProperty, Dict[str, Any], None]) – (experimental) The cross-region configuration for the guardrail. This is optional and when provided, it should be of type GuardrailCrossRegionConfigProperty. Default: - No cross-region configuration
denied_topics (Optional[Sequence[Topic]]) – (experimental) A list of policies related to topics that the guardrail should deny. Default: []
description (Optional[str]) – (experimental) The description of the guardrail. Default: - No description
kms_key (Optional[IKey]) – (experimental) A custom KMS key to use for encrypting data. Default: - Data is encrypted by default with a key that AWS owns and manages for you
managed_word_list_filters (Optional[Sequence[Union[ManagedWordFilter, Dict[str, Any]]]]) – (experimental) The managed word filters to apply to the guardrail. Default: []
pii_filters (Optional[Sequence[Union[PIIFilter, Dict[str, Any]]]]) – (experimental) The PII filters to apply to the guardrail. Default: []
regex_filters (Optional[Sequence[Union[RegexFilter, Dict[str, Any]]]]) – (experimental) The regular expression (regex) filters to apply to the guardrail. Default: []
topics_tier_config (Optional[TierConfig]) – (experimental) The tier configuration to apply to the guardrail. Default: filters.TierConfig.CLASSIC
word_filters (Optional[Sequence[Union[WordFilter, Dict[str, Any]]]]) – (experimental) The word filters to apply to the guardrail. Default: []

Stability:

experimental

Methods

add_content_filter(*, input_strength, output_strength, type, input_action=None, input_enabled=None, input_modalities=None, output_action=None, output_enabled=None, output_modalities=None)

(experimental) Adds a content filter to the guardrail.

Parameters:

input_strength (ContentFilterStrength) – (experimental) The strength of the content filter to apply to prompts / user input.
output_strength (ContentFilterStrength) – (experimental) The strength of the content filter to apply to model responses.
type (ContentFilterType) – (experimental) The type of harmful category that the content filter is applied to.
input_action (Optional[GuardrailAction]) – (experimental) The action to take when content is detected in the input. Default: GuardrailAction.BLOCK
input_enabled (Optional[bool]) – (experimental) Whether the content filter is enabled for input. Default: true
input_modalities (Optional[Sequence[ModalityType]]) – (experimental) The input modalities to apply the content filter to. Default: undefined - Applies to text modality
output_action (Optional[GuardrailAction]) – (experimental) The action to take when content is detected in the output. Default: GuardrailAction.BLOCK
output_enabled (Optional[bool]) – (experimental) Whether the content filter is enabled for output. Default: true
output_modalities (Optional[Sequence[ModalityType]]) – (experimental) The output modalities to apply the content filter to. Default: undefined - Applies to text modality

Stability:

experimental

Return type:

None

add_contextual_grounding_filter(*, threshold, type, action=None, enabled=None)

(experimental) Adds a contextual grounding filter to the guardrail.

Parameters:

threshold (Union[int, float]) – (experimental) The threshold for the contextual grounding filter. - 0 (blocks nothing) - 0.99 (blocks almost everything)
type (ContextualGroundingFilterType) – (experimental) The type of contextual grounding filter.
action (Optional[GuardrailAction]) – (experimental) The action to take when contextual grounding is detected. Default: GuardrailAction.BLOCK
enabled (Optional[bool]) – (experimental) Whether the contextual grounding filter is enabled. Default: true

Stability:

experimental

Return type:

None

add_denied_topic_filter(filter)

(experimental) Adds a denied topic filter to the guardrail.

Parameters:: filter (Topic) – The denied topic filter to add.
Stability:: experimental
Return type:: None

add_managed_word_list_filter(*, input_action=None, input_enabled=None, output_action=None, output_enabled=None, type=None)

(experimental) Adds a managed word list filter to the guardrail.

Parameters:

input_action (Optional[GuardrailAction]) – (experimental) The action to take when a managed word is detected in the input. Default: GuardrailAction.BLOCK
input_enabled (Optional[bool]) – (experimental) Whether the managed word filter is enabled for input. Default: true
output_action (Optional[GuardrailAction]) – (experimental) The action to take when a managed word is detected in the output. Default: GuardrailAction.BLOCK
output_enabled (Optional[bool]) – (experimental) Whether the managed word filter is enabled for output. Default: true
type (Optional[ManagedWordFilterType]) – (experimental) The type of managed word filter. Default: ManagedWordFilterType.PROFANITY

Stability:

experimental

Return type:

None

add_pii_filter(*, action, type, input_action=None, input_enabled=None, output_action=None, output_enabled=None)

(experimental) Adds a PII filter to the guardrail.

Parameters:

action (GuardrailAction) – (experimental) The action to take when PII is detected.
type (PIIType) – (experimental) The type of PII to filter.
input_action (Optional[GuardrailAction]) – (experimental) The action to take when PII is detected in the input. Default: GuardrailAction.BLOCK
input_enabled (Optional[bool]) – (experimental) Whether the PII filter is enabled for input. Default: true
output_action (Optional[GuardrailAction]) – (experimental) The action to take when PII is detected in the output. Default: GuardrailAction.BLOCK
output_enabled (Optional[bool]) – (experimental) Whether the PII filter is enabled for output. Default: true

Stability:

experimental

Return type:

None

add_regex_filter(*, action, name, pattern, description=None, input_action=None, input_enabled=None, output_action=None, output_enabled=None)

(experimental) Adds a regex filter to the guardrail.

Parameters:

action (GuardrailAction) – (experimental) The action to take when a regex match is detected.
name (str) – (experimental) The name of the regex filter.
pattern (str) – (experimental) The regular expression pattern to match.
description (Optional[str]) – (experimental) The description of the regex filter. Default: - No description
input_action (Optional[GuardrailAction]) – (experimental) The action to take when a regex match is detected in the input. Default: GuardrailAction.BLOCK
input_enabled (Optional[bool]) – (experimental) Whether the regex filter is enabled for input. Default: true
output_action (Optional[GuardrailAction]) – (experimental) The action to take when a regex match is detected in the output. Default: GuardrailAction.BLOCK
output_enabled (Optional[bool]) – (experimental) Whether the regex filter is enabled for output. Default: true

Stability:

experimental

Return type:

None

add_word_filter(*, text, input_action=None, input_enabled=None, output_action=None, output_enabled=None)

(experimental) Adds a word filter to the guardrail.

Parameters:

text (str) – (experimental) The text to filter.
input_action (Optional[GuardrailAction]) – (experimental) The action to take when a word is detected in the input. Default: GuardrailAction.BLOCK
input_enabled (Optional[bool]) – (experimental) Whether the word filter is enabled for input. Default: true
output_action (Optional[GuardrailAction]) – (experimental) The action to take when a word is detected in the output. Default: GuardrailAction.BLOCK
output_enabled (Optional[bool]) – (experimental) Whether the word filter is enabled for output. Default: true

Stability:

experimental

Return type:

None

add_word_filter_from_file(file_path, input_action=None, output_action=None, input_enabled=None, output_enabled=None)

(experimental) Adds a word filter to the guardrail.

Parameters:

file_path (str) – The location of the word filter file.
input_action (Optional[GuardrailAction])
output_action (Optional[GuardrailAction])
input_enabled (Optional[bool])
output_enabled (Optional[bool])

Stability:

experimental

Return type:

None

apply_removal_policy(policy)

Apply the given removal policy to this resource.

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).

Parameters:: policy (RemovalPolicy)
Return type:: None

create_version(description=None)

(experimental) Create a version for the guardrail.

Parameters:: description (Optional[str]) – The description of the version.
Return type:: str
Returns:: The guardrail version.
Stability:: experimental

grant(grantee, *actions)

(experimental) Grant the given principal identity permissions to perform actions on this guardrail.

Parameters:

grantee (IGrantable)
actions (str)

Stability:

experimental

Return type:

Grant

grant_apply(grantee)

(experimental) Grant the given identity permissions to apply the guardrail.

Parameters:: grantee (IGrantable)
Stability:: experimental
Return type:: Grant

metric(metric_name, *, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Return the given named metric for this guardrail.

By default, the metric will be calculated as a sum over a period of 5 minutes. You can customize this by using the statistic and period properties.

Parameters:

metric_name (str)
account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.
color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color
dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.
id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID
label (Optional[str]) – Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)
region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.
stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.
stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.
statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average
unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream
visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

metric_invocation_client_errors(*, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Return the invocation client errors metric for this guardrail.

Parameters:

account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.
color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color
dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.
id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID
label (Optional[str]) –
Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)
region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.
stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.
stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.
statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average
unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream
visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

metric_invocation_latency(*, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Return the invocation latency metric for this guardrail.

Parameters:

account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.
color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color
dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.
id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID
label (Optional[str]) –
Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)
region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.
stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.
stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.
statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average
unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream
visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

metric_invocation_server_errors(*, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Return the invocation server errors metric for this guardrail.

Parameters:

account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.
color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color
dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.
id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID
label (Optional[str]) –
Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)
region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.
stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.
stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.
statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average
unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream
visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

metric_invocation_throttles(*, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Return the invocation throttles metric for this guardrail.

Parameters:

account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.
color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color
dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.
id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID
label (Optional[str]) –
Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)
region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.
stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.
stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.
statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average
unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream
visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

metric_invocations(*, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Return the invocations metric for this guardrail.

Parameters:

account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.
color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color
dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.
id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID
label (Optional[str]) –
Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)
region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.
stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.
stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.
statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average
unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream
visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

metric_invocations_intervened(*, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Return the invocations intervened metric for this guardrail.

Parameters:

account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.
color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color
dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.
id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID
label (Optional[str]) –
Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)
region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.
stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.
stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.
statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average
unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream
visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

metric_text_unit_count(*, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Return the text unit count metric for this guardrail.

Parameters:

account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.
color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color
dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.
id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID
label (Optional[str]) –
Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)
region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.
stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.
stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.
statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average
unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream
visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

to_string()

Returns a string representation of this construct.

Return type:: str

Attributes

PROPERTY_INJECTION_ID = '@aws-cdk.aws-bedrock-alpha.Guardrail'

blocked_input_messaging

(experimental) The message to return when the guardrail blocks a prompt.

Default:: “Sorry, your query violates our usage policy.”
Stability:: experimental

blocked_outputs_messaging

(experimental) The message to return when the guardrail blocks a model response.

Default:: “Sorry, I am unable to answer your question because of our usage policy.”
Stability:: experimental

content_filters

(experimental) The content filters applied by the guardrail.

Stability:: experimental

content_filters_tier_config

(experimental) 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.

Default:: filters.TierConfig.CLASSIC
Stability:: experimental

contextual_grounding_filters

(experimental) The contextual grounding filters applied by the guardrail.

Stability:: experimental

cross_region_config

(experimental) The cross-region configuration for the guardrail.

Stability:: experimental

denied_topics

(experimental) The denied topic filters applied by the guardrail.

Stability:: experimental

env

The environment this resource belongs to.

For resources that are created and managed by the CDK (generally, those created by creating new class instances like Role, Bucket, etc.), this is always the same as the environment of the stack they belong to; however, for imported resources (those obtained from static methods like fromRoleArn, fromBucketName, etc.), that might be different than the stack they were imported into.

guardrail_arn

(experimental) The ARN of the guardrail.

Stability:: experimental
Attribute:: true

guardrail_id

(experimental) The ID of the guardrail.

Stability:: experimental
Attribute:: true

guardrail_version

(experimental) The version of the guardrail.

Stability:: experimental
Attribute:: true

hash

(experimental) The computed hash of the guardrail properties.

Stability:: experimental

kms_key

(experimental) The KMS key used to encrypt data.

Default:: undefined - “Data is encrypted by default with a key that AWS owns and manages for you”
Stability:: experimental

last_updated

(experimental) When this guardrail was last updated.

Stability:: experimental

managed_word_list_filters

(experimental) The managed word list filters applied by the guardrail.

Stability:: experimental

name

(experimental) The name of the guardrail.

Stability:: experimental

node: The tree node.

pii_filters

(experimental) The PII filters applied by the guardrail.

Stability:: experimental

regex_filters

(experimental) The regex filters applied by the guardrail.

Stability:: experimental

stack: The stack in which this resource is defined.

topics_tier_config

(experimental) The tier that your guardrail uses for denied topic filters.

Default:: filters.TierConfig.CLASSIC
Stability:: experimental

word_filters

(experimental) The word filters applied by the guardrail.

Stability:: experimental

Static Methods

classmethod from_cfn_guardrail(cfn_guardrail)

(experimental) Import a low-level L1 Cfn Guardrail.

Parameters:: cfn_guardrail (CfnGuardrail)
Stability:: experimental
Return type:: IGuardrail

classmethod from_guardrail_attributes(scope, id, *, guardrail_arn, guardrail_version=None, kms_key=None)

(experimental) Import a guardrail given its attributes.

Parameters:

scope (Construct)
id (str)
guardrail_arn (str) – (experimental) The ARN of the guardrail. At least one of guardrailArn or guardrailId must be defined in order to initialize a guardrail ref.
guardrail_version (Optional[str]) – (experimental) The version of the guardrail. Default: “DRAFT”
kms_key (Optional[IKey]) – (experimental) The KMS key of the guardrail if custom encryption is configured. Default: undefined - Means data is encrypted by default with a AWS-managed key

Stability:

experimental

Return type:

IGuardrail

classmethod is_construct(x)

Checks if x is a construct.

Use this method instead of instanceof to properly detect Construct 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 class Construct in each copy of the constructs library is seen as a different class, and an instance of one class will not test as instanceof 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 the constructs library can be accidentally installed, and instanceof will behave unpredictably. It is safest to avoid using instanceof, 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 extends Construct.

classmethod is_owned_resource(construct)

Returns true if the construct was created by CDK, and false otherwise.

Parameters:: construct (IConstruct)
Return type:: bool

classmethod is_resource(construct)

Check whether the given construct is a Resource.

Parameters:: construct (IConstruct)
Return type:: bool

classmethod metric_all(metric_name, *, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Return the given named metric for all guardrails.

By default, the metric will be calculated as a sum over a period of 5 minutes. You can customize this by using the statistic and period properties.

Parameters:

metric_name (str)
account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.
color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color
dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.
id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID
label (Optional[str]) –
Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)
region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.
stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.
stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.
statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average
unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream
visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

classmethod metric_all_invocation_latency(*, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Return the invocation latency metric for all guardrails.

Parameters:

account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.
color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color
dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.
id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID
label (Optional[str]) –
Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)
region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.
stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.
stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.
statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average
unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream
visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

classmethod metric_all_invocations(*, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Return the invocations metric for all guardrails.

Parameters:

account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.
color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color
dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.
id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID
label (Optional[str]) –
Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)
region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.
stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.
stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.
statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average
unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream
visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

classmethod metric_all_invocations_intervened(*, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Return the invocations intervened metric for all guardrails.

Parameters:

account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.
color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color
dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.
id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID
label (Optional[str]) –
Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)
region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.
stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.
stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.
statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average
unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream
visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric

classmethod metric_all_text_unit_count(*, account=None, color=None, dimensions_map=None, id=None, label=None, period=None, region=None, stack_account=None, stack_region=None, statistic=None, unit=None, visible=None)

(experimental) Return the text unit count metric for all guardrails.

Parameters:

account (Optional[str]) – Account which this metric comes from. Default: - Deployment account.
color (Optional[str]) – The hex color code, prefixed with ‘#’ (e.g. ‘#00ff00’), to use when this metric is rendered on a graph. The Color class has a set of standard colors that can be used here. Default: - Automatic color
dimensions_map (Optional[Mapping[str, str]]) – Dimensions of the metric. Default: - No dimensions.
id (Optional[str]) – Unique identifier for this metric when used in dashboard widgets. The id can be used as a variable to represent this metric in math expressions. Valid characters are letters, numbers, and underscore. The first character must be a lowercase letter. Default: - No ID
label (Optional[str]) –
Label for this metric when added to a Graph in a Dashboard. You can use dynamic labels to show summary information about the entire displayed time series in the legend. For example, if you use:: [max: ${MAX}] MyMetric As the metric label, the maximum value in the visible range will be shown next to the time series name in the graph’s legend. Default: - No label
period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)
region (Optional[str]) – Region which this metric comes from. Default: - Deployment region.
stack_account (Optional[str]) – Account of the stack this metric is attached to. Default: - Deployment account.
stack_region (Optional[str]) – Region of the stack this metric is attached to. Default: - Deployment region.
statistic (Optional[str]) – What function to use for aggregating. Use the aws_cloudwatch.Stats helper class to construct valid input strings. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” - “tmNN.NN” | “tm(NN.NN%:NN.NN%)” - “iqm” - “wmNN.NN” | “wm(NN.NN%:NN.NN%)” - “tcNN.NN” | “tc(NN.NN%:NN.NN%)” - “tsNN.NN” | “ts(NN.NN%:NN.NN%)” Default: Average
unit (Optional[Unit]) – Unit used to filter the metric stream. Only refer to datums emitted to the metric stream with the given unit and ignore all others. Only useful when datums are being emitted to the same metric stream under different units. The default is to use all matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream
visible (Optional[bool]) – Whether this metric should be visible in dashboard graphs. Setting this to false is useful when you want to hide raw metrics that are used in math expressions, and show only the expression results. Default: true

Stability:

experimental

Return type:

Metric