create_automated_reasoning_policy_test_case async ¶

async def create_automated_reasoning_policy_test_case(
    self,
    policy_arn: "capo_bedrock.types.automated_reasoning_policy_arn.AutomatedReasoningPolicyArn",
    guard_content: "capo_bedrock.types.automated_reasoning_policy_test_guard_content.AutomatedReasoningPolicyTestGuardContent",
    expected_aggregated_findings_result: "capo_bedrock.types.automated_reasoning_check_result.AutomatedReasoningCheckResult",
    *,
    config_overrides: Optional[AsyncBedrockClientConfig] = None,
    query_content: Optional[
        "capo_bedrock.types.automated_reasoning_policy_test_query_content.AutomatedReasoningPolicyTestQueryContent"
    ] = None,
    client_request_token: Optional[
        "capo_bedrock.types.idempotency_token.IdempotencyToken"
    ] = None,
    confidence_threshold: Optional[
        "capo_bedrock.types.automated_reasoning_check_translation_confidence.AutomatedReasoningCheckTranslationConfidence"
    ] = None,
) -> "capo_bedrock.types.create_automated_reasoning_policy_test_case_response.CreateAutomatedReasoningPolicyTestCaseResponse":
    """<p>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.</p>

    Args:
        policy_arn: <p>The Amazon Resource Name (ARN) of the Automated Reasoning policy for which to create the test.</p>
        guard_content: <p>The output content that's validated by the Automated Reasoning policy. This represents the foundation model response that will be checked for accuracy.</p>
        query_content: <p>The input query or prompt that generated the content. This provides context for the validation.</p>
        expected_aggregated_findings_result: <p>The expected result of the Automated Reasoning check. Valid values include: , TOO_COMPLEX, and NO_TRANSLATIONS.</p> <ul> <li> <p> <code>VALID</code> - 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.</p> </li> <li> <p> <code>INVALID</code> - 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.</p> </li> <li> <p> <code>SATISFIABLE</code> - 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.</p> </li> <li> <p> <code>IMPOSSIBLE</code> - 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.</p> </li> <li> <p> <code>TRANSLATION_AMBIGUOUS</code> - 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.</p> </li> <li> <p> <code>TOO_COMPLEX</code> - The input contains too much information for Automated Reasoning to process within its latency limits.</p> </li> <li> <p> <code>NO_TRANSLATIONS</code> - 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 <code>NO_TRANSLATIONS</code> finding. You might also see a <code>NO_TRANSLATIONS</code> (along with other findings) if some part of the validation isn't translated.</p> </li> </ul>
        client_request_token: <p>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.</p>
        confidence_threshold: <p>The minimum confidence level for logic validation. Content that meets the threshold is considered a high-confidence finding that can be validated.</p>

    Raises:
        capo_bedrock.errors.access_denied_exception.AccessDeniedException: <p>The request is denied because of missing access permissions.</p>
        capo_bedrock.errors.conflict_exception.ConflictException: <p>Error occurred because of a conflict while performing an operation.</p>
        capo_bedrock.errors.internal_server_exception.InternalServerException: <p>An internal server error occurred. Retry your request.</p>
        capo_bedrock.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource Amazon Resource Name (ARN) was not found. Check the Amazon Resource Name (ARN) and try your request again.</p>
        capo_bedrock.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: <p>The number of requests exceeds the service quota. Resubmit your request later.</p>
        capo_bedrock.errors.throttling_exception.ThrottlingException: <p>The number of requests exceeds the limit. Resubmit your request later.</p>
        capo_bedrock.errors.validation_exception.ValidationException: <p>Input validation failed. Check your request parameters and retry the request.</p>
        capo_bedrock.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_bedrock.types.create_automated_reasoning_policy_test_case_request.CreateAutomatedReasoningPolicyTestCaseRequest]",
    ) -> AsyncOperationResponse[
        "capo_bedrock.types.create_automated_reasoning_policy_test_case_response.CreateAutomatedReasoningPolicyTestCaseResponse"
    ]:
        import capo_bedrock._operations.amazon_bedrock_control_plane_service.create_automated_reasoning_policy_test_case

        (
            output,
            http_response,
        ) = await capo_bedrock._operations.amazon_bedrock_control_plane_service.create_automated_reasoning_policy_test_case.async_create_automated_reasoning_policy_test_case(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    def _redact_input(
        input_: "capo_bedrock.types.create_automated_reasoning_policy_test_case_request.CreateAutomatedReasoningPolicyTestCaseRequest",
    ) -> dict[str, Any]:
        import capo_bedrock.types.create_automated_reasoning_policy_test_case_request

        return capo_bedrock.types.create_automated_reasoning_policy_test_case_request.redact_sensitive(
            input_
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging(
            "CreateAutomatedReasoningPolicyTestCase", redact_input=_redact_input
        ),
    )
    input_: capo_bedrock.types.create_automated_reasoning_policy_test_case_request.CreateAutomatedReasoningPolicyTestCaseRequest = {
        "policy_arn": policy_arn,
        "guard_content": guard_content,
        "expected_aggregated_findings_result": expected_aggregated_findings_result,
    }
    if query_content is not None:
        input_["query_content"] = query_content
    if client_request_token is None:
        client_request_token = str(uuid.uuid4())
    input_["client_request_token"] = client_request_token
    if confidence_threshold is not None:
        input_["confidence_threshold"] = confidence_threshold

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output