zz_endpointconfiguration_types.go

// SPDX-FileCopyrightText: 2024 The Crossplane Authors <https://crossplane.io>
//
// SPDX-License-Identifier: Apache-2.0

// Code generated by upjet. DO NOT EDIT.

package v1beta1

import (
	metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
	"k8s.io/apimachinery/pkg/runtime/schema"

	v1 "github.com/crossplane/crossplane-runtime/apis/common/v1"
)

type AsyncInferenceConfigInitParameters struct {

	// Configures the behavior of the client used by Amazon SageMaker to interact with the model container during asynchronous inference.
	ClientConfig []ClientConfigInitParameters `json:"clientConfig,omitempty" tf:"client_config,omitempty"`

	// Specifies the configuration for asynchronous inference invocation outputs.
	OutputConfig []AsyncInferenceConfigOutputConfigInitParameters `json:"outputConfig,omitempty" tf:"output_config,omitempty"`
}

type AsyncInferenceConfigObservation struct {

	// Configures the behavior of the client used by Amazon SageMaker to interact with the model container during asynchronous inference.
	ClientConfig []ClientConfigObservation `json:"clientConfig,omitempty" tf:"client_config,omitempty"`

	// Specifies the configuration for asynchronous inference invocation outputs.
	OutputConfig []AsyncInferenceConfigOutputConfigObservation `json:"outputConfig,omitempty" tf:"output_config,omitempty"`
}

type AsyncInferenceConfigOutputConfigInitParameters struct {

	// The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the asynchronous inference output in Amazon S3.
	KMSKeyID *string `json:"kmsKeyId,omitempty" tf:"kms_key_id,omitempty"`

	// Specifies the configuration for notifications of inference results for asynchronous inference.
	NotificationConfig []NotificationConfigInitParameters `json:"notificationConfig,omitempty" tf:"notification_config,omitempty"`

	// The Amazon S3 location to upload failure inference responses to.
	S3FailurePath *string `json:"s3FailurePath,omitempty" tf:"s3_failure_path,omitempty"`

	// The Amazon S3 location to upload inference responses to.
	S3OutputPath *string `json:"s3OutputPath,omitempty" tf:"s3_output_path,omitempty"`
}

type AsyncInferenceConfigOutputConfigObservation struct {

	// The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the asynchronous inference output in Amazon S3.
	KMSKeyID *string `json:"kmsKeyId,omitempty" tf:"kms_key_id,omitempty"`

	// Specifies the configuration for notifications of inference results for asynchronous inference.
	NotificationConfig []NotificationConfigObservation `json:"notificationConfig,omitempty" tf:"notification_config,omitempty"`

	// The Amazon S3 location to upload failure inference responses to.
	S3FailurePath *string `json:"s3FailurePath,omitempty" tf:"s3_failure_path,omitempty"`

	// The Amazon S3 location to upload inference responses to.
	S3OutputPath *string `json:"s3OutputPath,omitempty" tf:"s3_output_path,omitempty"`
}

type AsyncInferenceConfigOutputConfigParameters struct {

	// The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the asynchronous inference output in Amazon S3.
	// +kubebuilder:validation:Optional
	KMSKeyID *string `json:"kmsKeyId,omitempty" tf:"kms_key_id,omitempty"`

	// Specifies the configuration for notifications of inference results for asynchronous inference.
	// +kubebuilder:validation:Optional
	NotificationConfig []NotificationConfigParameters `json:"notificationConfig,omitempty" tf:"notification_config,omitempty"`

	// The Amazon S3 location to upload failure inference responses to.
	// +kubebuilder:validation:Optional
	S3FailurePath *string `json:"s3FailurePath,omitempty" tf:"s3_failure_path,omitempty"`

	// The Amazon S3 location to upload inference responses to.
	// +kubebuilder:validation:Optional
	S3OutputPath *string `json:"s3OutputPath" tf:"s3_output_path,omitempty"`
}

type AsyncInferenceConfigParameters struct {

	// Configures the behavior of the client used by Amazon SageMaker to interact with the model container during asynchronous inference.
	// +kubebuilder:validation:Optional
	ClientConfig []ClientConfigParameters `json:"clientConfig,omitempty" tf:"client_config,omitempty"`

	// Specifies the configuration for asynchronous inference invocation outputs.
	// +kubebuilder:validation:Optional
	OutputConfig []AsyncInferenceConfigOutputConfigParameters `json:"outputConfig" tf:"output_config,omitempty"`
}

type CaptureContentTypeHeaderInitParameters struct {

	// The CSV content type headers to capture.
	// +listType=set
	CsvContentTypes []*string `json:"csvContentTypes,omitempty" tf:"csv_content_types,omitempty"`

	// The JSON content type headers to capture.
	// +listType=set
	JSONContentTypes []*string `json:"jsonContentTypes,omitempty" tf:"json_content_types,omitempty"`
}

type CaptureContentTypeHeaderObservation struct {

	// The CSV content type headers to capture.
	// +listType=set
	CsvContentTypes []*string `json:"csvContentTypes,omitempty" tf:"csv_content_types,omitempty"`

	// The JSON content type headers to capture.
	// +listType=set
	JSONContentTypes []*string `json:"jsonContentTypes,omitempty" tf:"json_content_types,omitempty"`
}

type CaptureContentTypeHeaderParameters struct {

	// The CSV content type headers to capture.
	// +kubebuilder:validation:Optional
	// +listType=set
	CsvContentTypes []*string `json:"csvContentTypes,omitempty" tf:"csv_content_types,omitempty"`

	// The JSON content type headers to capture.
	// +kubebuilder:validation:Optional
	// +listType=set
	JSONContentTypes []*string `json:"jsonContentTypes,omitempty" tf:"json_content_types,omitempty"`
}

type CaptureOptionsInitParameters struct {

	// Specifies the data to be captured. Should be one of Input or Output.
	CaptureMode *string `json:"captureMode,omitempty" tf:"capture_mode,omitempty"`
}

type CaptureOptionsObservation struct {

	// Specifies the data to be captured. Should be one of Input or Output.
	CaptureMode *string `json:"captureMode,omitempty" tf:"capture_mode,omitempty"`
}

type CaptureOptionsParameters struct {

	// Specifies the data to be captured. Should be one of Input or Output.
	// +kubebuilder:validation:Optional
	CaptureMode *string `json:"captureMode" tf:"capture_mode,omitempty"`
}

type ClientConfigInitParameters struct {

	// The maximum number of concurrent requests sent by the SageMaker client to the model container. If no value is provided, Amazon SageMaker will choose an optimal value for you.
	MaxConcurrentInvocationsPerInstance *float64 `json:"maxConcurrentInvocationsPerInstance,omitempty" tf:"max_concurrent_invocations_per_instance,omitempty"`
}

type ClientConfigObservation struct {

	// The maximum number of concurrent requests sent by the SageMaker client to the model container. If no value is provided, Amazon SageMaker will choose an optimal value for you.
	MaxConcurrentInvocationsPerInstance *float64 `json:"maxConcurrentInvocationsPerInstance,omitempty" tf:"max_concurrent_invocations_per_instance,omitempty"`
}

type ClientConfigParameters struct {

	// The maximum number of concurrent requests sent by the SageMaker client to the model container. If no value is provided, Amazon SageMaker will choose an optimal value for you.
	// +kubebuilder:validation:Optional
	MaxConcurrentInvocationsPerInstance *float64 `json:"maxConcurrentInvocationsPerInstance,omitempty" tf:"max_concurrent_invocations_per_instance,omitempty"`
}

type CoreDumpConfigInitParameters struct {

	// The Amazon S3 bucket to send the core dump to.
	DestinationS3URI *string `json:"destinationS3Uri,omitempty" tf:"destination_s3_uri,omitempty"`

	// The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the core dump data at rest using Amazon S3 server-side encryption.
	KMSKeyID *string `json:"kmsKeyId,omitempty" tf:"kms_key_id,omitempty"`
}

type CoreDumpConfigObservation struct {

	// The Amazon S3 bucket to send the core dump to.
	DestinationS3URI *string `json:"destinationS3Uri,omitempty" tf:"destination_s3_uri,omitempty"`

	// The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the core dump data at rest using Amazon S3 server-side encryption.
	KMSKeyID *string `json:"kmsKeyId,omitempty" tf:"kms_key_id,omitempty"`
}

type CoreDumpConfigParameters struct {

	// The Amazon S3 bucket to send the core dump to.
	// +kubebuilder:validation:Optional
	DestinationS3URI *string `json:"destinationS3Uri" tf:"destination_s3_uri,omitempty"`

	// The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the core dump data at rest using Amazon S3 server-side encryption.
	// +kubebuilder:validation:Optional
	KMSKeyID *string `json:"kmsKeyId,omitempty" tf:"kms_key_id,omitempty"`
}

type DataCaptureConfigInitParameters struct {

	// The content type headers to capture. Fields are documented below.
	CaptureContentTypeHeader []CaptureContentTypeHeaderInitParameters `json:"captureContentTypeHeader,omitempty" tf:"capture_content_type_header,omitempty"`

	// Specifies what data to capture. Fields are documented below.
	CaptureOptions []CaptureOptionsInitParameters `json:"captureOptions,omitempty" tf:"capture_options,omitempty"`

	// The URL for S3 location where the captured data is stored.
	DestinationS3URI *string `json:"destinationS3Uri,omitempty" tf:"destination_s3_uri,omitempty"`

	// Flag to enable data capture. Defaults to false.
	EnableCapture *bool `json:"enableCapture,omitempty" tf:"enable_capture,omitempty"`

	// Portion of data to capture. Should be between 0 and 100.
	InitialSamplingPercentage *float64 `json:"initialSamplingPercentage,omitempty" tf:"initial_sampling_percentage,omitempty"`

	// Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt the captured data on Amazon S3.
	KMSKeyID *string `json:"kmsKeyId,omitempty" tf:"kms_key_id,omitempty"`
}

type DataCaptureConfigObservation struct {

	// The content type headers to capture. Fields are documented below.
	CaptureContentTypeHeader []CaptureContentTypeHeaderObservation `json:"captureContentTypeHeader,omitempty" tf:"capture_content_type_header,omitempty"`

	// Specifies what data to capture. Fields are documented below.
	CaptureOptions []CaptureOptionsObservation `json:"captureOptions,omitempty" tf:"capture_options,omitempty"`

	// The URL for S3 location where the captured data is stored.
	DestinationS3URI *string `json:"destinationS3Uri,omitempty" tf:"destination_s3_uri,omitempty"`

	// Flag to enable data capture. Defaults to false.
	EnableCapture *bool `json:"enableCapture,omitempty" tf:"enable_capture,omitempty"`

	// Portion of data to capture. Should be between 0 and 100.
	InitialSamplingPercentage *float64 `json:"initialSamplingPercentage,omitempty" tf:"initial_sampling_percentage,omitempty"`

	// Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt the captured data on Amazon S3.
	KMSKeyID *string `json:"kmsKeyId,omitempty" tf:"kms_key_id,omitempty"`
}

type DataCaptureConfigParameters struct {

	// The content type headers to capture. Fields are documented below.
	// +kubebuilder:validation:Optional
	CaptureContentTypeHeader []CaptureContentTypeHeaderParameters `json:"captureContentTypeHeader,omitempty" tf:"capture_content_type_header,omitempty"`

	// Specifies what data to capture. Fields are documented below.
	// +kubebuilder:validation:Optional
	CaptureOptions []CaptureOptionsParameters `json:"captureOptions" tf:"capture_options,omitempty"`

	// The URL for S3 location where the captured data is stored.
	// +kubebuilder:validation:Optional
	DestinationS3URI *string `json:"destinationS3Uri" tf:"destination_s3_uri,omitempty"`

	// Flag to enable data capture. Defaults to false.
	// +kubebuilder:validation:Optional
	EnableCapture *bool `json:"enableCapture,omitempty" tf:"enable_capture,omitempty"`

	// Portion of data to capture. Should be between 0 and 100.
	// +kubebuilder:validation:Optional
	InitialSamplingPercentage *float64 `json:"initialSamplingPercentage" tf:"initial_sampling_percentage,omitempty"`

	// Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt the captured data on Amazon S3.
	// +kubebuilder:validation:Optional
	KMSKeyID *string `json:"kmsKeyId,omitempty" tf:"kms_key_id,omitempty"`
}

type EndpointConfigurationInitParameters struct {

	// Specifies configuration for how an endpoint performs asynchronous inference.
	AsyncInferenceConfig []AsyncInferenceConfigInitParameters `json:"asyncInferenceConfig,omitempty" tf:"async_inference_config,omitempty"`

	// Specifies the parameters to capture input/output of SageMaker models endpoints. Fields are documented below.
	DataCaptureConfig []DataCaptureConfigInitParameters `json:"dataCaptureConfig,omitempty" tf:"data_capture_config,omitempty"`

	// Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
	// +crossplane:generate:reference:type=github.com/upbound/provider-aws/apis/kms/v1beta1.Key
	KMSKeyArn *string `json:"kmsKeyArn,omitempty" tf:"kms_key_arn,omitempty"`

	// Reference to a Key in kms to populate kmsKeyArn.
	// +kubebuilder:validation:Optional
	KMSKeyArnRef *v1.Reference `json:"kmsKeyArnRef,omitempty" tf:"-"`

	// Selector for a Key in kms to populate kmsKeyArn.
	// +kubebuilder:validation:Optional
	KMSKeyArnSelector *v1.Selector `json:"kmsKeyArnSelector,omitempty" tf:"-"`

	// An list of ProductionVariant objects, one for each model that you want to host at this endpoint. Fields are documented below.
	ProductionVariants []ProductionVariantsInitParameters `json:"productionVariants,omitempty" tf:"production_variants,omitempty"`

	// Array of ProductionVariant objects. There is one for each model that you want to host at this endpoint in shadow mode with production traffic replicated from the model specified on ProductionVariants. If you use this field, you can only specify one variant for ProductionVariants and one variant for ShadowProductionVariants. Fields are documented below.
	ShadowProductionVariants []ShadowProductionVariantsInitParameters `json:"shadowProductionVariants,omitempty" tf:"shadow_production_variants,omitempty"`

	// Key-value map of resource tags.
	// +mapType=granular
	Tags map[string]*string `json:"tags,omitempty" tf:"tags,omitempty"`
}

type EndpointConfigurationObservation struct {

	// The Amazon Resource Name (ARN) assigned by AWS to this endpoint configuration.
	Arn *string `json:"arn,omitempty" tf:"arn,omitempty"`

	// Specifies configuration for how an endpoint performs asynchronous inference.
	AsyncInferenceConfig []AsyncInferenceConfigObservation `json:"asyncInferenceConfig,omitempty" tf:"async_inference_config,omitempty"`

	// Specifies the parameters to capture input/output of SageMaker models endpoints. Fields are documented below.
	DataCaptureConfig []DataCaptureConfigObservation `json:"dataCaptureConfig,omitempty" tf:"data_capture_config,omitempty"`

	ID *string `json:"id,omitempty" tf:"id,omitempty"`

	// Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
	KMSKeyArn *string `json:"kmsKeyArn,omitempty" tf:"kms_key_arn,omitempty"`

	// An list of ProductionVariant objects, one for each model that you want to host at this endpoint. Fields are documented below.
	ProductionVariants []ProductionVariantsObservation `json:"productionVariants,omitempty" tf:"production_variants,omitempty"`

	// Array of ProductionVariant objects. There is one for each model that you want to host at this endpoint in shadow mode with production traffic replicated from the model specified on ProductionVariants. If you use this field, you can only specify one variant for ProductionVariants and one variant for ShadowProductionVariants. Fields are documented below.
	ShadowProductionVariants []ShadowProductionVariantsObservation `json:"shadowProductionVariants,omitempty" tf:"shadow_production_variants,omitempty"`

	// Key-value map of resource tags.
	// +mapType=granular
	Tags map[string]*string `json:"tags,omitempty" tf:"tags,omitempty"`

	// A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.
	// +mapType=granular
	TagsAll map[string]*string `json:"tagsAll,omitempty" tf:"tags_all,omitempty"`
}

type EndpointConfigurationParameters struct {

	// Specifies configuration for how an endpoint performs asynchronous inference.
	// +kubebuilder:validation:Optional
	AsyncInferenceConfig []AsyncInferenceConfigParameters `json:"asyncInferenceConfig,omitempty" tf:"async_inference_config,omitempty"`

	// Specifies the parameters to capture input/output of SageMaker models endpoints. Fields are documented below.
	// +kubebuilder:validation:Optional
	DataCaptureConfig []DataCaptureConfigParameters `json:"dataCaptureConfig,omitempty" tf:"data_capture_config,omitempty"`

	// Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
	// +crossplane:generate:reference:type=github.com/upbound/provider-aws/apis/kms/v1beta1.Key
	// +kubebuilder:validation:Optional
	KMSKeyArn *string `json:"kmsKeyArn,omitempty" tf:"kms_key_arn,omitempty"`

	// Reference to a Key in kms to populate kmsKeyArn.
	// +kubebuilder:validation:Optional
	KMSKeyArnRef *v1.Reference `json:"kmsKeyArnRef,omitempty" tf:"-"`

	// Selector for a Key in kms to populate kmsKeyArn.
	// +kubebuilder:validation:Optional
	KMSKeyArnSelector *v1.Selector `json:"kmsKeyArnSelector,omitempty" tf:"-"`

	// An list of ProductionVariant objects, one for each model that you want to host at this endpoint. Fields are documented below.
	// +kubebuilder:validation:Optional
	ProductionVariants []ProductionVariantsParameters `json:"productionVariants,omitempty" tf:"production_variants,omitempty"`

	// Region is the region you'd like your resource to be created in.
	// +upjet:crd:field:TFTag=-
	// +kubebuilder:validation:Required
	Region *string `json:"region" tf:"-"`

	// Array of ProductionVariant objects. There is one for each model that you want to host at this endpoint in shadow mode with production traffic replicated from the model specified on ProductionVariants. If you use this field, you can only specify one variant for ProductionVariants and one variant for ShadowProductionVariants. Fields are documented below.
	// +kubebuilder:validation:Optional
	ShadowProductionVariants []ShadowProductionVariantsParameters `json:"shadowProductionVariants,omitempty" tf:"shadow_production_variants,omitempty"`

	// Key-value map of resource tags.
	// +kubebuilder:validation:Optional
	// +mapType=granular
	Tags map[string]*string `json:"tags,omitempty" tf:"tags,omitempty"`
}

type NotificationConfigInitParameters struct {

	// Amazon SNS topic to post a notification to when inference fails. If no topic is provided, no notification is sent on failure.
	ErrorTopic *string `json:"errorTopic,omitempty" tf:"error_topic,omitempty"`

	// The Amazon SNS topics where you want the inference response to be included. Valid values are SUCCESS_NOTIFICATION_TOPIC and ERROR_NOTIFICATION_TOPIC.
	// +listType=set
	IncludeInferenceResponseIn []*string `json:"includeInferenceResponseIn,omitempty" tf:"include_inference_response_in,omitempty"`

	// Amazon SNS topic to post a notification to when inference completes successfully. If no topic is provided, no notification is sent on success.
	SuccessTopic *string `json:"successTopic,omitempty" tf:"success_topic,omitempty"`
}

type NotificationConfigObservation struct {

	// Amazon SNS topic to post a notification to when inference fails. If no topic is provided, no notification is sent on failure.
	ErrorTopic *string `json:"errorTopic,omitempty" tf:"error_topic,omitempty"`

	// The Amazon SNS topics where you want the inference response to be included. Valid values are SUCCESS_NOTIFICATION_TOPIC and ERROR_NOTIFICATION_TOPIC.
	// +listType=set
	IncludeInferenceResponseIn []*string `json:"includeInferenceResponseIn,omitempty" tf:"include_inference_response_in,omitempty"`

	// Amazon SNS topic to post a notification to when inference completes successfully. If no topic is provided, no notification is sent on success.
	SuccessTopic *string `json:"successTopic,omitempty" tf:"success_topic,omitempty"`
}

type NotificationConfigParameters struct {

	// Amazon SNS topic to post a notification to when inference fails. If no topic is provided, no notification is sent on failure.
	// +kubebuilder:validation:Optional
	ErrorTopic *string `json:"errorTopic,omitempty" tf:"error_topic,omitempty"`

	// The Amazon SNS topics where you want the inference response to be included. Valid values are SUCCESS_NOTIFICATION_TOPIC and ERROR_NOTIFICATION_TOPIC.
	// +kubebuilder:validation:Optional
	// +listType=set
	IncludeInferenceResponseIn []*string `json:"includeInferenceResponseIn,omitempty" tf:"include_inference_response_in,omitempty"`

	// Amazon SNS topic to post a notification to when inference completes successfully. If no topic is provided, no notification is sent on success.
	// +kubebuilder:validation:Optional
	SuccessTopic *string `json:"successTopic,omitempty" tf:"success_topic,omitempty"`
}

type ProductionVariantsInitParameters struct {

	// The size of the Elastic Inference (EI) instance to use for the production variant.
	AcceleratorType *string `json:"acceleratorType,omitempty" tf:"accelerator_type,omitempty"`

	// The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting. For more information about health check, see How Your Container Should Respond to Health Check (Ping) Requests. Valid values between 60 and 3600.
	ContainerStartupHealthCheckTimeoutInSeconds *float64 `json:"containerStartupHealthCheckTimeoutInSeconds,omitempty" tf:"container_startup_health_check_timeout_in_seconds,omitempty"`

	// Specifies configuration for a core dump from the model container when the process crashes. Fields are documented below.
	CoreDumpConfig []CoreDumpConfigInitParameters `json:"coreDumpConfig,omitempty" tf:"core_dump_config,omitempty"`

	// You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production variant behind an endpoint. By default, SSM access is disabled for all production variants behind an endpoints.
	EnableSsmAccess *bool `json:"enableSsmAccess,omitempty" tf:"enable_ssm_access,omitempty"`

	// Initial number of instances used for auto-scaling.
	InitialInstanceCount *float64 `json:"initialInstanceCount,omitempty" tf:"initial_instance_count,omitempty"`

	// Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. If unspecified, it defaults to 1.0.
	InitialVariantWeight *float64 `json:"initialVariantWeight,omitempty" tf:"initial_variant_weight,omitempty"`

	// The type of instance to start.
	InstanceType *string `json:"instanceType,omitempty" tf:"instance_type,omitempty"`

	// The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this production variant. Valid values between 60 and 3600.
	ModelDataDownloadTimeoutInSeconds *float64 `json:"modelDataDownloadTimeoutInSeconds,omitempty" tf:"model_data_download_timeout_in_seconds,omitempty"`

	// The name of the model to use.
	// +crossplane:generate:reference:type=github.com/upbound/provider-aws/apis/sagemaker/v1beta1.Model
	ModelName *string `json:"modelName,omitempty" tf:"model_name,omitempty"`

	// Reference to a Model in sagemaker to populate modelName.
	// +kubebuilder:validation:Optional
	ModelNameRef *v1.Reference `json:"modelNameRef,omitempty" tf:"-"`

	// Selector for a Model in sagemaker to populate modelName.
	// +kubebuilder:validation:Optional
	ModelNameSelector *v1.Selector `json:"modelNameSelector,omitempty" tf:"-"`

	// Sets how the endpoint routes incoming traffic. See routing_config below.
	RoutingConfig []RoutingConfigInitParameters `json:"routingConfig,omitempty" tf:"routing_config,omitempty"`

	// Specifies configuration for how an endpoint performs asynchronous inference.
	ServerlessConfig []ServerlessConfigInitParameters `json:"serverlessConfig,omitempty" tf:"serverless_config,omitempty"`

	// The name of the variant.
	VariantName *string `json:"variantName,omitempty" tf:"variant_name,omitempty"`

	// The size, in GB, of the ML storage volume attached to individual inference instance associated with the production variant. Valid values between 1 and 512.
	VolumeSizeInGb *float64 `json:"volumeSizeInGb,omitempty" tf:"volume_size_in_gb,omitempty"`
}

type ProductionVariantsObservation struct {

	// The size of the Elastic Inference (EI) instance to use for the production variant.
	AcceleratorType *string `json:"acceleratorType,omitempty" tf:"accelerator_type,omitempty"`

	// The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting. For more information about health check, see How Your Container Should Respond to Health Check (Ping) Requests. Valid values between 60 and 3600.
	ContainerStartupHealthCheckTimeoutInSeconds *float64 `json:"containerStartupHealthCheckTimeoutInSeconds,omitempty" tf:"container_startup_health_check_timeout_in_seconds,omitempty"`

	// Specifies configuration for a core dump from the model container when the process crashes. Fields are documented below.
	CoreDumpConfig []CoreDumpConfigObservation `json:"coreDumpConfig,omitempty" tf:"core_dump_config,omitempty"`

	// You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production variant behind an endpoint. By default, SSM access is disabled for all production variants behind an endpoints.
	EnableSsmAccess *bool `json:"enableSsmAccess,omitempty" tf:"enable_ssm_access,omitempty"`

	// Initial number of instances used for auto-scaling.
	InitialInstanceCount *float64 `json:"initialInstanceCount,omitempty" tf:"initial_instance_count,omitempty"`

	// Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. If unspecified, it defaults to 1.0.
	InitialVariantWeight *float64 `json:"initialVariantWeight,omitempty" tf:"initial_variant_weight,omitempty"`

	// The type of instance to start.
	InstanceType *string `json:"instanceType,omitempty" tf:"instance_type,omitempty"`

	// The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this production variant. Valid values between 60 and 3600.
	ModelDataDownloadTimeoutInSeconds *float64 `json:"modelDataDownloadTimeoutInSeconds,omitempty" tf:"model_data_download_timeout_in_seconds,omitempty"`

	// The name of the model to use.
	ModelName *string `json:"modelName,omitempty" tf:"model_name,omitempty"`

	// Sets how the endpoint routes incoming traffic. See routing_config below.
	RoutingConfig []RoutingConfigObservation `json:"routingConfig,omitempty" tf:"routing_config,omitempty"`

	// Specifies configuration for how an endpoint performs asynchronous inference.
	ServerlessConfig []ServerlessConfigObservation `json:"serverlessConfig,omitempty" tf:"serverless_config,omitempty"`

	// The name of the variant.
	VariantName *string `json:"variantName,omitempty" tf:"variant_name,omitempty"`

	// The size, in GB, of the ML storage volume attached to individual inference instance associated with the production variant. Valid values between 1 and 512.
	VolumeSizeInGb *float64 `json:"volumeSizeInGb,omitempty" tf:"volume_size_in_gb,omitempty"`
}

type ProductionVariantsParameters struct {

	// The size of the Elastic Inference (EI) instance to use for the production variant.
	// +kubebuilder:validation:Optional
	AcceleratorType *string `json:"acceleratorType,omitempty" tf:"accelerator_type,omitempty"`

	// The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting. For more information about health check, see How Your Container Should Respond to Health Check (Ping) Requests. Valid values between 60 and 3600.
	// +kubebuilder:validation:Optional
	ContainerStartupHealthCheckTimeoutInSeconds *float64 `json:"containerStartupHealthCheckTimeoutInSeconds,omitempty" tf:"container_startup_health_check_timeout_in_seconds,omitempty"`

	// Specifies configuration for a core dump from the model container when the process crashes. Fields are documented below.
	// +kubebuilder:validation:Optional
	CoreDumpConfig []CoreDumpConfigParameters `json:"coreDumpConfig,omitempty" tf:"core_dump_config,omitempty"`

	// You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production variant behind an endpoint. By default, SSM access is disabled for all production variants behind an endpoints.
	// +kubebuilder:validation:Optional
	EnableSsmAccess *bool `json:"enableSsmAccess,omitempty" tf:"enable_ssm_access,omitempty"`

	// Initial number of instances used for auto-scaling.
	// +kubebuilder:validation:Optional
	InitialInstanceCount *float64 `json:"initialInstanceCount,omitempty" tf:"initial_instance_count,omitempty"`

	// Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. If unspecified, it defaults to 1.0.
	// +kubebuilder:validation:Optional
	InitialVariantWeight *float64 `json:"initialVariantWeight,omitempty" tf:"initial_variant_weight,omitempty"`

	// The type of instance to start.
	// +kubebuilder:validation:Optional
	InstanceType *string `json:"instanceType,omitempty" tf:"instance_type,omitempty"`

	// The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this production variant. Valid values between 60 and 3600.
	// +kubebuilder:validation:Optional
	ModelDataDownloadTimeoutInSeconds *float64 `json:"modelDataDownloadTimeoutInSeconds,omitempty" tf:"model_data_download_timeout_in_seconds,omitempty"`

	// The name of the model to use.
	// +crossplane:generate:reference:type=github.com/upbound/provider-aws/apis/sagemaker/v1beta1.Model
	// +kubebuilder:validation:Optional
	ModelName *string `json:"modelName,omitempty" tf:"model_name,omitempty"`

	// Reference to a Model in sagemaker to populate modelName.
	// +kubebuilder:validation:Optional
	ModelNameRef *v1.Reference `json:"modelNameRef,omitempty" tf:"-"`

	// Selector for a Model in sagemaker to populate modelName.
	// +kubebuilder:validation:Optional
	ModelNameSelector *v1.Selector `json:"modelNameSelector,omitempty" tf:"-"`

	// Sets how the endpoint routes incoming traffic. See routing_config below.
	// +kubebuilder:validation:Optional
	RoutingConfig []RoutingConfigParameters `json:"routingConfig,omitempty" tf:"routing_config,omitempty"`

	// Specifies configuration for how an endpoint performs asynchronous inference.
	// +kubebuilder:validation:Optional
	ServerlessConfig []ServerlessConfigParameters `json:"serverlessConfig,omitempty" tf:"serverless_config,omitempty"`

	// The name of the variant.
	// +kubebuilder:validation:Optional
	VariantName *string `json:"variantName,omitempty" tf:"variant_name,omitempty"`

	// The size, in GB, of the ML storage volume attached to individual inference instance associated with the production variant. Valid values between 1 and 512.
	// +kubebuilder:validation:Optional
	VolumeSizeInGb *float64 `json:"volumeSizeInGb,omitempty" tf:"volume_size_in_gb,omitempty"`
}

type RoutingConfigInitParameters struct {

	// Sets how the endpoint routes incoming traffic. Valid values are LEAST_OUTSTANDING_REQUESTS and RANDOM. LEAST_OUTSTANDING_REQUESTS routes requests to the specific instances that have more capacity to process them. RANDOM routes each request to a randomly chosen instance.
	RoutingStrategy *string `json:"routingStrategy,omitempty" tf:"routing_strategy,omitempty"`
}

type RoutingConfigObservation struct {

	// Sets how the endpoint routes incoming traffic. Valid values are LEAST_OUTSTANDING_REQUESTS and RANDOM. LEAST_OUTSTANDING_REQUESTS routes requests to the specific instances that have more capacity to process them. RANDOM routes each request to a randomly chosen instance.
	RoutingStrategy *string `json:"routingStrategy,omitempty" tf:"routing_strategy,omitempty"`
}

type RoutingConfigParameters struct {

	// Sets how the endpoint routes incoming traffic. Valid values are LEAST_OUTSTANDING_REQUESTS and RANDOM. LEAST_OUTSTANDING_REQUESTS routes requests to the specific instances that have more capacity to process them. RANDOM routes each request to a randomly chosen instance.
	// +kubebuilder:validation:Optional
	RoutingStrategy *string `json:"routingStrategy" tf:"routing_strategy,omitempty"`
}

type ServerlessConfigInitParameters struct {

	// The maximum number of concurrent invocations your serverless endpoint can process. Valid values are between 1 and 200.
	MaxConcurrency *float64 `json:"maxConcurrency,omitempty" tf:"max_concurrency,omitempty"`

	// The memory size of your serverless endpoint. Valid values are in 1 GB increments: 1024 MB, 2048 MB, 3072 MB, 4096 MB, 5120 MB, or 6144 MB.
	MemorySizeInMb *float64 `json:"memorySizeInMb,omitempty" tf:"memory_size_in_mb,omitempty"`

	// The amount of provisioned concurrency to allocate for the serverless endpoint. Should be less than or equal to max_concurrency. Valid values are between 1 and 200.
	ProvisionedConcurrency *float64 `json:"provisionedConcurrency,omitempty" tf:"provisioned_concurrency,omitempty"`
}

type ServerlessConfigObservation struct {

	// The maximum number of concurrent invocations your serverless endpoint can process. Valid values are between 1 and 200.
	MaxConcurrency *float64 `json:"maxConcurrency,omitempty" tf:"max_concurrency,omitempty"`

	// The memory size of your serverless endpoint. Valid values are in 1 GB increments: 1024 MB, 2048 MB, 3072 MB, 4096 MB, 5120 MB, or 6144 MB.
	MemorySizeInMb *float64 `json:"memorySizeInMb,omitempty" tf:"memory_size_in_mb,omitempty"`

	// The amount of provisioned concurrency to allocate for the serverless endpoint. Should be less than or equal to max_concurrency. Valid values are between 1 and 200.
	ProvisionedConcurrency *float64 `json:"provisionedConcurrency,omitempty" tf:"provisioned_concurrency,omitempty"`
}

type ServerlessConfigParameters struct {

	// The maximum number of concurrent invocations your serverless endpoint can process. Valid values are between 1 and 200.
	// +kubebuilder:validation:Optional
	MaxConcurrency *float64 `json:"maxConcurrency" tf:"max_concurrency,omitempty"`

	// The memory size of your serverless endpoint. Valid values are in 1 GB increments: 1024 MB, 2048 MB, 3072 MB, 4096 MB, 5120 MB, or 6144 MB.
	// +kubebuilder:validation:Optional
	MemorySizeInMb *float64 `json:"memorySizeInMb" tf:"memory_size_in_mb,omitempty"`

	// The amount of provisioned concurrency to allocate for the serverless endpoint. Should be less than or equal to max_concurrency. Valid values are between 1 and 200.
	// +kubebuilder:validation:Optional
	ProvisionedConcurrency *float64 `json:"provisionedConcurrency,omitempty" tf:"provisioned_concurrency,omitempty"`
}

type ShadowProductionVariantsCoreDumpConfigInitParameters struct {

	// The Amazon S3 bucket to send the core dump to.
	DestinationS3URI *string `json:"destinationS3Uri,omitempty" tf:"destination_s3_uri,omitempty"`

	// The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the core dump data at rest using Amazon S3 server-side encryption.
	KMSKeyID *string `json:"kmsKeyId,omitempty" tf:"kms_key_id,omitempty"`
}

type ShadowProductionVariantsCoreDumpConfigObservation struct {

	// The Amazon S3 bucket to send the core dump to.
	DestinationS3URI *string `json:"destinationS3Uri,omitempty" tf:"destination_s3_uri,omitempty"`

	// The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the core dump data at rest using Amazon S3 server-side encryption.
	KMSKeyID *string `json:"kmsKeyId,omitempty" tf:"kms_key_id,omitempty"`
}

type ShadowProductionVariantsCoreDumpConfigParameters struct {

	// The Amazon S3 bucket to send the core dump to.
	// +kubebuilder:validation:Optional
	DestinationS3URI *string `json:"destinationS3Uri" tf:"destination_s3_uri,omitempty"`

	// The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the core dump data at rest using Amazon S3 server-side encryption.
	// +kubebuilder:validation:Optional
	KMSKeyID *string `json:"kmsKeyId" tf:"kms_key_id,omitempty"`
}

type ShadowProductionVariantsInitParameters struct {

	// The size of the Elastic Inference (EI) instance to use for the production variant.
	AcceleratorType *string `json:"acceleratorType,omitempty" tf:"accelerator_type,omitempty"`

	// The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting. For more information about health check, see How Your Container Should Respond to Health Check (Ping) Requests. Valid values between 60 and 3600.
	ContainerStartupHealthCheckTimeoutInSeconds *float64 `json:"containerStartupHealthCheckTimeoutInSeconds,omitempty" tf:"container_startup_health_check_timeout_in_seconds,omitempty"`

	// Specifies configuration for a core dump from the model container when the process crashes. Fields are documented below.
	CoreDumpConfig []ShadowProductionVariantsCoreDumpConfigInitParameters `json:"coreDumpConfig,omitempty" tf:"core_dump_config,omitempty"`

	// You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production variant behind an endpoint. By default, SSM access is disabled for all production variants behind an endpoints.
	EnableSsmAccess *bool `json:"enableSsmAccess,omitempty" tf:"enable_ssm_access,omitempty"`

	// Initial number of instances used for auto-scaling.
	InitialInstanceCount *float64 `json:"initialInstanceCount,omitempty" tf:"initial_instance_count,omitempty"`

	// Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. If unspecified, it defaults to 1.0.
	InitialVariantWeight *float64 `json:"initialVariantWeight,omitempty" tf:"initial_variant_weight,omitempty"`

	// The type of instance to start.
	InstanceType *string `json:"instanceType,omitempty" tf:"instance_type,omitempty"`

	// The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this production variant. Valid values between 60 and 3600.
	ModelDataDownloadTimeoutInSeconds *float64 `json:"modelDataDownloadTimeoutInSeconds,omitempty" tf:"model_data_download_timeout_in_seconds,omitempty"`

	// The name of the model to use.
	ModelName *string `json:"modelName,omitempty" tf:"model_name,omitempty"`

	// Sets how the endpoint routes incoming traffic. See routing_config below.
	RoutingConfig []ShadowProductionVariantsRoutingConfigInitParameters `json:"routingConfig,omitempty" tf:"routing_config,omitempty"`

	// Specifies configuration for how an endpoint performs asynchronous inference.
	ServerlessConfig []ShadowProductionVariantsServerlessConfigInitParameters `json:"serverlessConfig,omitempty" tf:"serverless_config,omitempty"`

	// The name of the variant.
	VariantName *string `json:"variantName,omitempty" tf:"variant_name,omitempty"`

	// The size, in GB, of the ML storage volume attached to individual inference instance associated with the production variant. Valid values between 1 and 512.
	VolumeSizeInGb *float64 `json:"volumeSizeInGb,omitempty" tf:"volume_size_in_gb,omitempty"`
}

type ShadowProductionVariantsObservation struct {

	// The size of the Elastic Inference (EI) instance to use for the production variant.
	AcceleratorType *string `json:"acceleratorType,omitempty" tf:"accelerator_type,omitempty"`

	// The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting. For more information about health check, see How Your Container Should Respond to Health Check (Ping) Requests. Valid values between 60 and 3600.
	ContainerStartupHealthCheckTimeoutInSeconds *float64 `json:"containerStartupHealthCheckTimeoutInSeconds,omitempty" tf:"container_startup_health_check_timeout_in_seconds,omitempty"`

	// Specifies configuration for a core dump from the model container when the process crashes. Fields are documented below.
	CoreDumpConfig []ShadowProductionVariantsCoreDumpConfigObservation `json:"coreDumpConfig,omitempty" tf:"core_dump_config,omitempty"`

	// You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production variant behind an endpoint. By default, SSM access is disabled for all production variants behind an endpoints.
	EnableSsmAccess *bool `json:"enableSsmAccess,omitempty" tf:"enable_ssm_access,omitempty"`

	// Initial number of instances used for auto-scaling.
	InitialInstanceCount *float64 `json:"initialInstanceCount,omitempty" tf:"initial_instance_count,omitempty"`

	// Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. If unspecified, it defaults to 1.0.
	InitialVariantWeight *float64 `json:"initialVariantWeight,omitempty" tf:"initial_variant_weight,omitempty"`

	// The type of instance to start.
	InstanceType *string `json:"instanceType,omitempty" tf:"instance_type,omitempty"`

	// The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this production variant. Valid values between 60 and 3600.
	ModelDataDownloadTimeoutInSeconds *float64 `json:"modelDataDownloadTimeoutInSeconds,omitempty" tf:"model_data_download_timeout_in_seconds,omitempty"`

	// The name of the model to use.
	ModelName *string `json:"modelName,omitempty" tf:"model_name,omitempty"`

	// Sets how the endpoint routes incoming traffic. See routing_config below.
	RoutingConfig []ShadowProductionVariantsRoutingConfigObservation `json:"routingConfig,omitempty" tf:"routing_config,omitempty"`

	// Specifies configuration for how an endpoint performs asynchronous inference.
	ServerlessConfig []ShadowProductionVariantsServerlessConfigObservation `json:"serverlessConfig,omitempty" tf:"serverless_config,omitempty"`

	// The name of the variant.
	VariantName *string `json:"variantName,omitempty" tf:"variant_name,omitempty"`

	// The size, in GB, of the ML storage volume attached to individual inference instance associated with the production variant. Valid values between 1 and 512.
	VolumeSizeInGb *float64 `json:"volumeSizeInGb,omitempty" tf:"volume_size_in_gb,omitempty"`
}

type ShadowProductionVariantsParameters struct {

	// The size of the Elastic Inference (EI) instance to use for the production variant.
	// +kubebuilder:validation:Optional
	AcceleratorType *string `json:"acceleratorType,omitempty" tf:"accelerator_type,omitempty"`

	// The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting. For more information about health check, see How Your Container Should Respond to Health Check (Ping) Requests. Valid values between 60 and 3600.
	// +kubebuilder:validation:Optional
	ContainerStartupHealthCheckTimeoutInSeconds *float64 `json:"containerStartupHealthCheckTimeoutInSeconds,omitempty" tf:"container_startup_health_check_timeout_in_seconds,omitempty"`

	// Specifies configuration for a core dump from the model container when the process crashes. Fields are documented below.
	// +kubebuilder:validation:Optional
	CoreDumpConfig []ShadowProductionVariantsCoreDumpConfigParameters `json:"coreDumpConfig,omitempty" tf:"core_dump_config,omitempty"`

	// You can use this parameter to turn on native Amazon Web Services Systems Manager (SSM) access for a production variant behind an endpoint. By default, SSM access is disabled for all production variants behind an endpoints.
	// +kubebuilder:validation:Optional
	EnableSsmAccess *bool `json:"enableSsmAccess,omitempty" tf:"enable_ssm_access,omitempty"`

	// Initial number of instances used for auto-scaling.
	// +kubebuilder:validation:Optional
	InitialInstanceCount *float64 `json:"initialInstanceCount,omitempty" tf:"initial_instance_count,omitempty"`

	// Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. If unspecified, it defaults to 1.0.
	// +kubebuilder:validation:Optional
	InitialVariantWeight *float64 `json:"initialVariantWeight,omitempty" tf:"initial_variant_weight,omitempty"`

	// The type of instance to start.
	// +kubebuilder:validation:Optional
	InstanceType *string `json:"instanceType,omitempty" tf:"instance_type,omitempty"`

	// The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this production variant. Valid values between 60 and 3600.
	// +kubebuilder:validation:Optional
	ModelDataDownloadTimeoutInSeconds *float64 `json:"modelDataDownloadTimeoutInSeconds,omitempty" tf:"model_data_download_timeout_in_seconds,omitempty"`

	// The name of the model to use.
	// +kubebuilder:validation:Optional
	ModelName *string `json:"modelName" tf:"model_name,omitempty"`

	// Sets how the endpoint routes incoming traffic. See routing_config below.
	// +kubebuilder:validation:Optional
	RoutingConfig []ShadowProductionVariantsRoutingConfigParameters `json:"routingConfig,omitempty" tf:"routing_config,omitempty"`

	// Specifies configuration for how an endpoint performs asynchronous inference.
	// +kubebuilder:validation:Optional
	ServerlessConfig []ShadowProductionVariantsServerlessConfigParameters `json:"serverlessConfig,omitempty" tf:"serverless_config,omitempty"`

	// The name of the variant.
	// +kubebuilder:validation:Optional
	VariantName *string `json:"variantName,omitempty" tf:"variant_name,omitempty"`

	// The size, in GB, of the ML storage volume attached to individual inference instance associated with the production variant. Valid values between 1 and 512.
	// +kubebuilder:validation:Optional
	VolumeSizeInGb *float64 `json:"volumeSizeInGb,omitempty" tf:"volume_size_in_gb,omitempty"`
}

type ShadowProductionVariantsRoutingConfigInitParameters struct {

	// Sets how the endpoint routes incoming traffic. Valid values are LEAST_OUTSTANDING_REQUESTS and RANDOM. LEAST_OUTSTANDING_REQUESTS routes requests to the specific instances that have more capacity to process them. RANDOM routes each request to a randomly chosen instance.
	RoutingStrategy *string `json:"routingStrategy,omitempty" tf:"routing_strategy,omitempty"`
}

type ShadowProductionVariantsRoutingConfigObservation struct {

	// Sets how the endpoint routes incoming traffic. Valid values are LEAST_OUTSTANDING_REQUESTS and RANDOM. LEAST_OUTSTANDING_REQUESTS routes requests to the specific instances that have more capacity to process them. RANDOM routes each request to a randomly chosen instance.
	RoutingStrategy *string `json:"routingStrategy,omitempty" tf:"routing_strategy,omitempty"`
}

type ShadowProductionVariantsRoutingConfigParameters struct {

	// Sets how the endpoint routes incoming traffic. Valid values are LEAST_OUTSTANDING_REQUESTS and RANDOM. LEAST_OUTSTANDING_REQUESTS routes requests to the specific instances that have more capacity to process them. RANDOM routes each request to a randomly chosen instance.
	// +kubebuilder:validation:Optional
	RoutingStrategy *string `json:"routingStrategy" tf:"routing_strategy,omitempty"`
}

type ShadowProductionVariantsServerlessConfigInitParameters struct {

	// The maximum number of concurrent invocations your serverless endpoint can process. Valid values are between 1 and 200.
	MaxConcurrency *float64 `json:"maxConcurrency,omitempty" tf:"max_concurrency,omitempty"`

	// The memory size of your serverless endpoint. Valid values are in 1 GB increments: 1024 MB, 2048 MB, 3072 MB, 4096 MB, 5120 MB, or 6144 MB.
	MemorySizeInMb *float64 `json:"memorySizeInMb,omitempty" tf:"memory_size_in_mb,omitempty"`

	// The amount of provisioned concurrency to allocate for the serverless endpoint. Should be less than or equal to max_concurrency. Valid values are between 1 and 200.
	ProvisionedConcurrency *float64 `json:"provisionedConcurrency,omitempty" tf:"provisioned_concurrency,omitempty"`
}

type ShadowProductionVariantsServerlessConfigObservation struct {

	// The maximum number of concurrent invocations your serverless endpoint can process. Valid values are between 1 and 200.
	MaxConcurrency *float64 `json:"maxConcurrency,omitempty" tf:"max_concurrency,omitempty"`

	// The memory size of your serverless endpoint. Valid values are in 1 GB increments: 1024 MB, 2048 MB, 3072 MB, 4096 MB, 5120 MB, or 6144 MB.
	MemorySizeInMb *float64 `json:"memorySizeInMb,omitempty" tf:"memory_size_in_mb,omitempty"`

	// The amount of provisioned concurrency to allocate for the serverless endpoint. Should be less than or equal to max_concurrency. Valid values are between 1 and 200.
	ProvisionedConcurrency *float64 `json:"provisionedConcurrency,omitempty" tf:"provisioned_concurrency,omitempty"`
}

type ShadowProductionVariantsServerlessConfigParameters struct {

	// The maximum number of concurrent invocations your serverless endpoint can process. Valid values are between 1 and 200.
	// +kubebuilder:validation:Optional
	MaxConcurrency *float64 `json:"maxConcurrency" tf:"max_concurrency,omitempty"`

	// The memory size of your serverless endpoint. Valid values are in 1 GB increments: 1024 MB, 2048 MB, 3072 MB, 4096 MB, 5120 MB, or 6144 MB.
	// +kubebuilder:validation:Optional
	MemorySizeInMb *float64 `json:"memorySizeInMb" tf:"memory_size_in_mb,omitempty"`

	// The amount of provisioned concurrency to allocate for the serverless endpoint. Should be less than or equal to max_concurrency. Valid values are between 1 and 200.
	// +kubebuilder:validation:Optional
	ProvisionedConcurrency *float64 `json:"provisionedConcurrency,omitempty" tf:"provisioned_concurrency,omitempty"`
}

// EndpointConfigurationSpec defines the desired state of EndpointConfiguration
type EndpointConfigurationSpec struct {
	v1.ResourceSpec `json:",inline"`
	ForProvider     EndpointConfigurationParameters `json:"forProvider"`
	// THIS IS A BETA FIELD. It will be honored
	// unless the Management Policies feature flag is disabled.
	// InitProvider holds the same fields as ForProvider, with the exception
	// of Identifier and other resource reference fields. The fields that are
	// in InitProvider are merged into ForProvider when the resource is created.
	// The same fields are also added to the terraform ignore_changes hook, to
	// avoid updating them after creation. This is useful for fields that are
	// required on creation, but we do not desire to update them after creation,
	// for example because of an external controller is managing them, like an
	// autoscaler.
	InitProvider EndpointConfigurationInitParameters `json:"initProvider,omitempty"`
}

// EndpointConfigurationStatus defines the observed state of EndpointConfiguration.
type EndpointConfigurationStatus struct {
	v1.ResourceStatus `json:",inline"`
	AtProvider        EndpointConfigurationObservation `json:"atProvider,omitempty"`
}

// +kubebuilder:object:root=true
// +kubebuilder:subresource:status
// +kubebuilder:storageversion

// EndpointConfiguration is the Schema for the EndpointConfigurations API. Provides a SageMaker Endpoint Configuration resource.
// +kubebuilder:printcolumn:name="SYNCED",type="string",JSONPath=".status.conditions[?(@.type=='Synced')].status"
// +kubebuilder:printcolumn:name="READY",type="string",JSONPath=".status.conditions[?(@.type=='Ready')].status"
// +kubebuilder:printcolumn:name="EXTERNAL-NAME",type="string",JSONPath=".metadata.annotations.crossplane\\.io/external-name"
// +kubebuilder:printcolumn:name="AGE",type="date",JSONPath=".metadata.creationTimestamp"
// +kubebuilder:resource:scope=Cluster,categories={crossplane,managed,aws}
type EndpointConfiguration struct {
	metav1.TypeMeta   `json:",inline"`
	metav1.ObjectMeta `json:"metadata,omitempty"`
	// +kubebuilder:validation:XValidation:rule="!('*' in self.managementPolicies || 'Create' in self.managementPolicies || 'Update' in self.managementPolicies) || has(self.forProvider.productionVariants) || (has(self.initProvider) && has(self.initProvider.productionVariants))",message="spec.forProvider.productionVariants is a required parameter"
	Spec   EndpointConfigurationSpec   `json:"spec"`
	Status EndpointConfigurationStatus `json:"status,omitempty"`
}

// +kubebuilder:object:root=true

// EndpointConfigurationList contains a list of EndpointConfigurations
type EndpointConfigurationList struct {
	metav1.TypeMeta `json:",inline"`
	metav1.ListMeta `json:"metadata,omitempty"`
	Items           []EndpointConfiguration `json:"items"`
}

// Repository type metadata.
var (
	EndpointConfiguration_Kind             = "EndpointConfiguration"
	EndpointConfiguration_GroupKind        = schema.GroupKind{Group: CRDGroup, Kind: EndpointConfiguration_Kind}.String()
	EndpointConfiguration_KindAPIVersion   = EndpointConfiguration_Kind + "." + CRDGroupVersion.String()
	EndpointConfiguration_GroupVersionKind = CRDGroupVersion.WithKind(EndpointConfiguration_Kind)
)

func init() {
	SchemeBuilder.Register(&EndpointConfiguration{}, &EndpointConfigurationList{})
}