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list_advanced_prompt_optimization_jobs

list_advanced_prompt_optimization_jobs(
    *,
    config_overrides: Optional[BedrockClientConfig] = None,
    max_results: Optional[MaxResults] = None,
    next_token: Optional[PaginationToken] = None,
    sort_by: Optional[SortJobsBy] = None,
    sort_order: Optional[SortOrder] = None,
) -> ListAdvancedPromptOptimizationJobsResponse

Lists the advanced prompt optimization jobs in your account.

Parameters:

  • max_results (Optional[MaxResults], default: None ) –

    The maximum number of results to return in the response.

  • next_token (Optional[PaginationToken], default: None ) –

    If the total number of results is greater than the maxResults value provided in the request, use this token in a subsequent request to get the next set of results.

  • sort_by (Optional[SortJobsBy], default: None ) –

    The field to sort the results by.

  • sort_order (Optional[SortOrder], default: None ) –

    The sort order for the results.

Raises:

Source code in docs_src/capo_bedrock/_services/bedrock.py
def list_advanced_prompt_optimization_jobs(
    self,
    *,
    config_overrides: Optional[BedrockClientConfig] = None,
    max_results: Optional["capo_bedrock.types.max_results.MaxResults"] = None,
    next_token: Optional[
        "capo_bedrock.types.pagination_token.PaginationToken"
    ] = None,
    sort_by: Optional["capo_bedrock.types.sort_jobs_by.SortJobsBy"] = None,
    sort_order: Optional["capo_bedrock.types.sort_order.SortOrder"] = None,
) -> "capo_bedrock.types.list_advanced_prompt_optimization_jobs_response.ListAdvancedPromptOptimizationJobsResponse":
    """<p>Lists the advanced prompt optimization jobs in your account.</p>

    Args:
        max_results: <p>The maximum number of results to return in the response.</p>
        next_token: <p>If the total number of results is greater than the <code>maxResults</code> value provided in the request, use this token in a subsequent request to get the next set of results.</p>
        sort_by: <p>The field to sort the results by.</p>
        sort_order: <p>The sort order for the results.</p>

    Raises:
        capo_bedrock.errors.access_denied_exception.AccessDeniedException: <p>The request is denied because of missing access permissions.</p>
        capo_bedrock.errors.internal_server_exception.InternalServerException: <p>An internal server error occurred. Retry your request.</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.
    """

    def _handler(
        req: "OperationRequest[capo_bedrock.types.list_advanced_prompt_optimization_jobs_request.ListAdvancedPromptOptimizationJobsRequest]",
    ) -> OperationResponse[
        "capo_bedrock.types.list_advanced_prompt_optimization_jobs_response.ListAdvancedPromptOptimizationJobsResponse"
    ]:
        import capo_bedrock._operations.amazon_bedrock_control_plane_service.list_advanced_prompt_optimization_jobs

        output, http_response = (
            capo_bedrock._operations.amazon_bedrock_control_plane_service.list_advanced_prompt_optimization_jobs.list_advanced_prompt_optimization_jobs(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListAdvancedPromptOptimizationJobs")
    )
    input_: capo_bedrock.types.list_advanced_prompt_optimization_jobs_request.ListAdvancedPromptOptimizationJobsRequest = {}
    if max_results is not None:
        input_["max_results"] = max_results
    if next_token is not None:
        input_["next_token"] = next_token
    if sort_by is not None:
        input_["sort_by"] = sort_by
    if sort_order is not None:
        input_["sort_order"] = sort_order

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output