aws_sdk_bedrock::operation::create_automated_reasoning_policy_test_case::builders

Struct CreateAutomatedReasoningPolicyTestCaseFluentBuilder

pub struct CreateAutomatedReasoningPolicyTestCaseFluentBuilder { /* private fields */ }

Expand description

Fluent builder constructing a request to CreateAutomatedReasoningPolicyTestCase.

Creates a test for an Automated Reasoning policy. Tests validate that your policy works as expected by providing sample inputs and expected outcomes. Use tests to verify policy behavior before deploying to production.

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impl CreateAutomatedReasoningPolicyTestCaseFluentBuilder

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pub fn as_input(&self) -> &CreateAutomatedReasoningPolicyTestCaseInputBuilder

Access the CreateAutomatedReasoningPolicyTestCase as a reference.

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pub async fn send( self, ) -> Result<CreateAutomatedReasoningPolicyTestCaseOutput, SdkError<CreateAutomatedReasoningPolicyTestCaseError, HttpResponse>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

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pub fn customize( self, ) -> CustomizableOperation<CreateAutomatedReasoningPolicyTestCaseOutput, CreateAutomatedReasoningPolicyTestCaseError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

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pub fn policy_arn(self, input: impl Into<String>) -> Self

The Amazon Resource Name (ARN) of the Automated Reasoning policy for which to create the test.

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pub fn set_policy_arn(self, input: Option<String>) -> Self

The Amazon Resource Name (ARN) of the Automated Reasoning policy for which to create the test.

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pub fn get_policy_arn(&self) -> &Option<String>

The Amazon Resource Name (ARN) of the Automated Reasoning policy for which to create the test.

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pub fn guard_content(self, input: impl Into<String>) -> Self

The output content that's validated by the Automated Reasoning policy. This represents the foundation model response that will be checked for accuracy.

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pub fn set_guard_content(self, input: Option<String>) -> Self

The output content that's validated by the Automated Reasoning policy. This represents the foundation model response that will be checked for accuracy.

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pub fn get_guard_content(&self) -> &Option<String>

The output content that's validated by the Automated Reasoning policy. This represents the foundation model response that will be checked for accuracy.

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pub fn query_content(self, input: impl Into<String>) -> Self

The input query or prompt that generated the content. This provides context for the validation.

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pub fn set_query_content(self, input: Option<String>) -> Self

The input query or prompt that generated the content. This provides context for the validation.

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pub fn get_query_content(&self) -> &Option<String>

The input query or prompt that generated the content. This provides context for the validation.

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pub fn expected_aggregated_findings_result( self, input: AutomatedReasoningCheckResult, ) -> Self

The expected result of the Automated Reasoning check. Valid values include: , TOO_COMPLEX, and NO_TRANSLATIONS.

VALID - The claims are true. The claims are implied by the premises and the Automated Reasoning policy. Given the Automated Reasoning policy and premises, it is not possible for these claims to be false. In other words, there are no alternative answers that are true that contradict the claims.
INVALID - The claims are false. The claims are not implied by the premises and Automated Reasoning policy. Furthermore, there exists different claims that are consistent with the premises and Automated Reasoning policy.
SATISFIABLE - The claims can be true or false. It depends on what assumptions are made for the claim to be implied from the premises and Automated Reasoning policy rules. In this situation, different assumptions can make input claims false and alternative claims true.
IMPOSSIBLE - Automated Reasoning can’t make a statement about the claims. This can happen if the premises are logically incorrect, or if there is a conflict within the Automated Reasoning policy itself.
TRANSLATION_AMBIGUOUS - Detected an ambiguity in the translation meant it would be unsound to continue with validity checking. Additional context or follow-up questions might be needed to get translation to succeed.
TOO_COMPLEX - The input contains too much information for Automated Reasoning to process within its latency limits.
NO_TRANSLATIONS - Identifies that some or all of the input prompt wasn't translated into logic. This can happen if the input isn't relevant to the Automated Reasoning policy, or if the policy doesn't have variables to model relevant input. If Automated Reasoning can't translate anything, you get a single NO_TRANSLATIONS finding. You might also see a NO_TRANSLATIONS (along with other findings) if some part of the validation isn't translated.

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pub fn set_expected_aggregated_findings_result( self, input: Option<AutomatedReasoningCheckResult>, ) -> Self

The expected result of the Automated Reasoning check. Valid values include: , TOO_COMPLEX, and NO_TRANSLATIONS.

VALID - The claims are true. The claims are implied by the premises and the Automated Reasoning policy. Given the Automated Reasoning policy and premises, it is not possible for these claims to be false. In other words, there are no alternative answers that are true that contradict the claims.
INVALID - The claims are false. The claims are not implied by the premises and Automated Reasoning policy. Furthermore, there exists different claims that are consistent with the premises and Automated Reasoning policy.
SATISFIABLE - The claims can be true or false. It depends on what assumptions are made for the claim to be implied from the premises and Automated Reasoning policy rules. In this situation, different assumptions can make input claims false and alternative claims true.
IMPOSSIBLE - Automated Reasoning can’t make a statement about the claims. This can happen if the premises are logically incorrect, or if there is a conflict within the Automated Reasoning policy itself.
TRANSLATION_AMBIGUOUS - Detected an ambiguity in the translation meant it would be unsound to continue with validity checking. Additional context or follow-up questions might be needed to get translation to succeed.
TOO_COMPLEX - The input contains too much information for Automated Reasoning to process within its latency limits.
NO_TRANSLATIONS - Identifies that some or all of the input prompt wasn't translated into logic. This can happen if the input isn't relevant to the Automated Reasoning policy, or if the policy doesn't have variables to model relevant input. If Automated Reasoning can't translate anything, you get a single NO_TRANSLATIONS finding. You might also see a NO_TRANSLATIONS (along with other findings) if some part of the validation isn't translated.

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pub fn get_expected_aggregated_findings_result( &self, ) -> &Option<AutomatedReasoningCheckResult>

The expected result of the Automated Reasoning check. Valid values include: , TOO_COMPLEX, and NO_TRANSLATIONS.

VALID - The claims are true. The claims are implied by the premises and the Automated Reasoning policy. Given the Automated Reasoning policy and premises, it is not possible for these claims to be false. In other words, there are no alternative answers that are true that contradict the claims.
INVALID - The claims are false. The claims are not implied by the premises and Automated Reasoning policy. Furthermore, there exists different claims that are consistent with the premises and Automated Reasoning policy.
SATISFIABLE - The claims can be true or false. It depends on what assumptions are made for the claim to be implied from the premises and Automated Reasoning policy rules. In this situation, different assumptions can make input claims false and alternative claims true.
IMPOSSIBLE - Automated Reasoning can’t make a statement about the claims. This can happen if the premises are logically incorrect, or if there is a conflict within the Automated Reasoning policy itself.
TRANSLATION_AMBIGUOUS - Detected an ambiguity in the translation meant it would be unsound to continue with validity checking. Additional context or follow-up questions might be needed to get translation to succeed.
TOO_COMPLEX - The input contains too much information for Automated Reasoning to process within its latency limits.
NO_TRANSLATIONS - Identifies that some or all of the input prompt wasn't translated into logic. This can happen if the input isn't relevant to the Automated Reasoning policy, or if the policy doesn't have variables to model relevant input. If Automated Reasoning can't translate anything, you get a single NO_TRANSLATIONS finding. You might also see a NO_TRANSLATIONS (along with other findings) if some part of the validation isn't translated.

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pub fn client_request_token(self, input: impl Into<String>) -> Self

A unique, case-sensitive identifier to ensure that the operation completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error.

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pub fn set_client_request_token(self, input: Option<String>) -> Self

A unique, case-sensitive identifier to ensure that the operation completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error.

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pub fn get_client_request_token(&self) -> &Option<String>

A unique, case-sensitive identifier to ensure that the operation completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error.

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pub fn confidence_threshold(self, input: f64) -> Self

The minimum confidence level for logic validation. Content that meets the threshold is considered a high-confidence finding that can be validated.

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pub fn set_confidence_threshold(self, input: Option<f64>) -> Self

The minimum confidence level for logic validation. Content that meets the threshold is considered a high-confidence finding that can be validated.

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pub fn get_confidence_threshold(&self) -> &Option<f64>

The minimum confidence level for logic validation. Content that meets the threshold is considered a high-confidence finding that can be validated.

Trait Implementations§

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impl Clone for CreateAutomatedReasoningPolicyTestCaseFluentBuilder

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fn clone(&self) -> CreateAutomatedReasoningPolicyTestCaseFluentBuilder

Returns a duplicate of the value. Read more

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

Performs copy-assignment from source. Read more

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impl Debug for CreateAutomatedReasoningPolicyTestCaseFluentBuilder

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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 !UnwindSafe for CreateAutomatedReasoningPolicyTestCaseFluentBuilder

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CreateAutomatedReasoningPolicyTestCaseFluentBuilder

Struct CreateAutomatedReasoningPolicyTestCaseFluentBuilder Copy item path

Implementations§

impl CreateAutomatedReasoningPolicyTestCaseFluentBuilder

pub fn as_input(&self) -> &CreateAutomatedReasoningPolicyTestCaseInputBuilder

pub async fn send( self, ) -> Result<CreateAutomatedReasoningPolicyTestCaseOutput, SdkError<CreateAutomatedReasoningPolicyTestCaseError, HttpResponse>>

pub fn customize( self, ) -> CustomizableOperation<CreateAutomatedReasoningPolicyTestCaseOutput, CreateAutomatedReasoningPolicyTestCaseError, Self>

pub fn policy_arn(self, input: impl Into<String>) -> Self

pub fn set_policy_arn(self, input: Option<String>) -> Self

pub fn get_policy_arn(&self) -> &Option<String>

pub fn guard_content(self, input: impl Into<String>) -> Self

pub fn set_guard_content(self, input: Option<String>) -> Self

pub fn get_guard_content(&self) -> &Option<String>

pub fn query_content(self, input: impl Into<String>) -> Self

pub fn set_query_content(self, input: Option<String>) -> Self

pub fn get_query_content(&self) -> &Option<String>

pub fn expected_aggregated_findings_result( self, input: AutomatedReasoningCheckResult, ) -> Self

pub fn set_expected_aggregated_findings_result( self, input: Option<AutomatedReasoningCheckResult>, ) -> Self

pub fn get_expected_aggregated_findings_result( &self, ) -> &Option<AutomatedReasoningCheckResult>

pub fn client_request_token(self, input: impl Into<String>) -> Self

pub fn set_client_request_token(self, input: Option<String>) -> Self

pub fn get_client_request_token(&self) -> &Option<String>

pub fn confidence_threshold(self, input: f64) -> Self

pub fn set_confidence_threshold(self, input: Option<f64>) -> Self

pub fn get_confidence_threshold(&self) -> &Option<f64>

Trait Implementations§

impl Clone for CreateAutomatedReasoningPolicyTestCaseFluentBuilder

fn clone(&self) -> CreateAutomatedReasoningPolicyTestCaseFluentBuilder

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

impl Debug for CreateAutomatedReasoningPolicyTestCaseFluentBuilder

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

Auto Trait Implementations§

impl Freeze for CreateAutomatedReasoningPolicyTestCaseFluentBuilder

impl !RefUnwindSafe for CreateAutomatedReasoningPolicyTestCaseFluentBuilder

impl Send for CreateAutomatedReasoningPolicyTestCaseFluentBuilder

impl Sync for CreateAutomatedReasoningPolicyTestCaseFluentBuilder

impl Unpin for CreateAutomatedReasoningPolicyTestCaseFluentBuilder

impl !UnwindSafe for CreateAutomatedReasoningPolicyTestCaseFluentBuilder

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impl<T> Borrow<T> for Twhere T: ?Sized,

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impl<T> BorrowMut<T> for Twhere T: ?Sized,

fn borrow_mut(&mut self) -> &mut T

impl<T> CloneToUninit for Twhere T: Clone,

unsafe fn clone_to_uninit(&self, dest: *mut u8)

impl<T> From<T> for T

fn from(t: T) -> T

impl<T> Instrument for T

fn instrument(self, span: Span) -> Instrumented<Self>

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impl<T, U> Into<U> for Twhere U: From<T>,

fn into(self) -> U

impl<T> IntoEither for T

fn into_either(self, into_left: bool) -> Either<Self, Self>

fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>where F: FnOnce(&Self) -> bool,

impl<Unshared, Shared> IntoShared<Shared> for Unsharedwhere Shared: FromUnshared<Unshared>,

fn into_shared(self) -> Shared

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Struct CreateAutomatedReasoningPolicyTestCaseFluentBuilder

impl<T> Any for T
where T: 'static + ?Sized,

impl<T> Borrow<T> for T
where T: ?Sized,

impl<T> BorrowMut<T> for T
where T: ?Sized,

impl<T> CloneToUninit for T
where T: Clone,

impl<T, U> Into<U> for T
where U: From<T>,

fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
where F: FnOnce(&Self) -> bool,

impl<Unshared, Shared> IntoShared<Shared> for Unshared
where Shared: FromUnshared<Unshared>,

impl<T> Paint for T
where T: ?Sized,