CreateAiGuardrailInput

aws_sdk_qconnect::operation::create_ai_guardrail

Struct CreateAiGuardrailInput 

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#[non_exhaustive]
pub struct CreateAiGuardrailInput {
Show 13 fields
    pub client_token: Option<String>,
    pub assistant_id: Option<String>,
    pub name: Option<String>,
    pub blocked_input_messaging: Option<String>,
    pub blocked_outputs_messaging: Option<String>,
    pub visibility_status: Option<VisibilityStatus>,
    pub description: Option<String>,
    pub topic_policy_config: Option<AiGuardrailTopicPolicyConfig>,
    pub content_policy_config: Option<AiGuardrailContentPolicyConfig>,
    pub word_policy_config: Option<AiGuardrailWordPolicyConfig>,
    pub sensitive_information_policy_config: Option<AiGuardrailSensitiveInformationPolicyConfig>,
    pub contextual_grounding_policy_config: Option<AiGuardrailContextualGroundingPolicyConfig>,
    pub tags: Option<HashMap<String, String>>,

}

Fields (Non-exhaustive)§

This struct is marked as non-exhaustive
Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.
§client_token: Option<String>

A unique, case-sensitive identifier that you provide to ensure the idempotency of the request. If not provided, the Amazon Web Services SDK populates this field. For more information about idempotency, see Making retries safe with idempotent APIs..

§assistant_id: Option<String>

The identifier of the Amazon Q in Connect assistant. Can be either the ID or the ARN. URLs cannot contain the ARN.

§name: Option<String>

The name of the AI Guardrail.

§blocked_input_messaging: Option<String>

The message to return when the AI Guardrail blocks a prompt.

§blocked_outputs_messaging: Option<String>

The message to return when the AI Guardrail blocks a model response.

§visibility_status: Option<VisibilityStatus>

The visibility status of the AI Guardrail.

§description: Option<String>

A description of the AI Guardrail.

§topic_policy_config: Option<AiGuardrailTopicPolicyConfig>

The topic policies to configure for the AI Guardrail.

§content_policy_config: Option<AiGuardrailContentPolicyConfig>

The content filter policies to configure for the AI Guardrail.

§word_policy_config: Option<AiGuardrailWordPolicyConfig>

The word policy you configure for the AI Guardrail.

§sensitive_information_policy_config: Option<AiGuardrailSensitiveInformationPolicyConfig>

The sensitive information policy to configure for the AI Guardrail.

§contextual_grounding_policy_config: Option<AiGuardrailContextualGroundingPolicyConfig>

The contextual grounding policy configuration used to create an AI Guardrail.

§tags: Option<HashMap<String, String>>

The tags used to organize, track, or control access for this resource.

Implementations§

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impl CreateAiGuardrailInput

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pub fn client_token(&self) -> Option<&str>

A unique, case-sensitive identifier that you provide to ensure the idempotency of the request. If not provided, the Amazon Web Services SDK populates this field. For more information about idempotency, see Making retries safe with idempotent APIs..

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pub fn assistant_id(&self) -> Option<&str>

The identifier of the Amazon Q in Connect assistant. Can be either the ID or the ARN. URLs cannot contain the ARN.

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pub fn name(&self) -> Option<&str>

The name of the AI Guardrail.

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pub fn blocked_input_messaging(&self) -> Option<&str>

The message to return when the AI Guardrail blocks a prompt.

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pub fn blocked_outputs_messaging(&self) -> Option<&str>

The message to return when the AI Guardrail blocks a model response.

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pub fn visibility_status(&self) -> Option<&VisibilityStatus>

The visibility status of the AI Guardrail.

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pub fn description(&self) -> Option<&str>

A description of the AI Guardrail.

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pub fn topic_policy_config(&self) -> Option<&AiGuardrailTopicPolicyConfig>

The topic policies to configure for the AI Guardrail.

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pub fn content_policy_config(&self) -> Option<&AiGuardrailContentPolicyConfig>

The content filter policies to configure for the AI Guardrail.

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pub fn word_policy_config(&self) -> Option<&AiGuardrailWordPolicyConfig>

The word policy you configure for the AI Guardrail.

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pub fn sensitive_information_policy_config( &self, ) -> Option<&AiGuardrailSensitiveInformationPolicyConfig>

The sensitive information policy to configure for the AI Guardrail.

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pub fn contextual_grounding_policy_config( &self, ) -> Option<&AiGuardrailContextualGroundingPolicyConfig>

The contextual grounding policy configuration used to create an AI Guardrail.

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pub fn tags(&self) -> Option<&HashMap<String, String>>

The tags used to organize, track, or control access for this resource.

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impl CreateAiGuardrailInput

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pub fn builder() -> CreateAiGuardrailInputBuilder

Creates a new builder-style object to manufacture CreateAiGuardrailInput.

Trait Implementations§

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impl Clone for CreateAiGuardrailInput

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fn clone(&self) -> CreateAiGuardrailInput

Returns a duplicate of the value. Read more
1.0.0 · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for CreateAiGuardrailInput

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl PartialEq for CreateAiGuardrailInput

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fn eq(&self, other: &CreateAiGuardrailInput) -> bool

Tests for self and other values to be equal, and is used by ==.
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fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl StructuralPartialEq for CreateAiGuardrailInput

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