Amazon SageMaker

Amazon SageMaker API

The Amazon SageMaker control plane API for creating and managing SageMaker resources including notebook instances, training jobs, models, endpoints, pipelines, experiments, feature groups, and monitoring schedules.

GitHub OpenAPI

Documentation

📖
Documentation
https://docs.aws.amazon.com/sagemaker/latest/APIReference/Welcome.html

Specifications

⚙
OpenAPI
https://raw.githubusercontent.com/api-evangelist/amazon-sagemaker/refs/heads/main/openapi/amazon-sagemaker-openapi.yml

SDKs

📦
SDK
Python SDK

Code Examples

💻
CodeExamples
Jupyter Notebook Examples

Schemas & Data

📊
JSONSchema
https://raw.githubusercontent.com/api-evangelist/amazon-sagemaker/refs/heads/main/json-schema/amazon-sagemaker-notebook-instance-schema.json
📊
JSONSchema
https://raw.githubusercontent.com/api-evangelist/amazon-sagemaker/refs/heads/main/json-schema/amazon-sagemaker-training-job-schema.json
📊
JSONSchema
https://raw.githubusercontent.com/api-evangelist/amazon-sagemaker/refs/heads/main/json-schema/amazon-sagemaker-model-schema.json
📊
JSONSchema
https://raw.githubusercontent.com/api-evangelist/amazon-sagemaker/refs/heads/main/json-schema/amazon-sagemaker-endpoint-schema.json

Other Resources

🔗
NaftikoCapability
https://raw.githubusercontent.com/api-evangelist/amazon-sagemaker/refs/heads/main/capabilities/amazon-sagemaker-endpoints.yaml
🔗
NaftikoCapability
https://raw.githubusercontent.com/api-evangelist/amazon-sagemaker/refs/heads/main/capabilities/amazon-sagemaker-models.yaml
🔗
NaftikoCapability
https://raw.githubusercontent.com/api-evangelist/amazon-sagemaker/refs/heads/main/capabilities/amazon-sagemaker-notebook-instances.yaml
🔗
NaftikoCapability
https://raw.githubusercontent.com/api-evangelist/amazon-sagemaker/refs/heads/main/capabilities/amazon-sagemaker-training-jobs.yaml

OpenAPI Specification

amazon-sagemaker-openapi.yml Raw ↑ 
openapi: 3.1.0
info:
  title: Amazon SageMaker API
  description: >-
    Amazon SageMaker is a fully managed machine learning platform that enables
    developers and data scientists to build, train, and deploy machine learning
    models at scale. This API provides programmatic access to SageMaker
    resources including notebook instances, training jobs, models, and endpoints.
  version: 2017-07-24
  contact:
    name: Amazon Web Services
    url: https://aws.amazon.com/sagemaker/
  license:
    name: Apache 2.0
    url: https://www.apache.org/licenses/LICENSE-2.0

servers:
- url: https://api.sagemaker.{region}.amazonaws.com
  variables:
    region:
      default: us-east-1
      description: The AWS region.

paths:

  /#CreateNotebookInstance:
    post:
      operationId: CreateNotebookInstance
      summary: Amazon SageMaker Create a Notebook Instance
      description: >-
        Creates an ML compute instance with a Jupyter notebook for exploring
        data and developing ML models.
      tags:
      - Notebook Instances
      parameters:
      - $ref: '#/components/parameters/XAmzTarget'
      requestBody:
        required: true
        content:
          application/x-amz-json-1.1:
            schema:
              type: object
              required:
              - NotebookInstanceName
              - InstanceType
              - RoleArn
              properties:
                NotebookInstanceName:
                  type: string
                  description: The name of the notebook instance.
                InstanceType:
                  type: string
                  description: The type of ML compute instance to launch.
                RoleArn:
                  type: string
                  description: The Amazon Resource Name (ARN) of the IAM role.
                SubnetId:
                  type: string
                  description: The ID of the subnet in a VPC.
                SecurityGroupIds:
                  type: array
                  items:
                    type: string
                  description: The VPC security group IDs.
                VolumeSizeInGB:
                  type: integer
                  description: The size of the ML storage volume in GB.
                Tags:
                  type: array
                  items:
                    $ref: '#/components/schemas/Tag'
      responses:
        '200':
          description: Successful response.
          content:
            application/json:
              schema:
                type: object
                properties:
                  NotebookInstanceArn:
                    type: string

              examples:
                CreateNotebookInstance200Example:
                  summary: Default CreateNotebookInstance 200 response
                  x-microcks-default: true
                  value:
                    Status: Success
                    RequestId: abc12345-def6-7890-ghij-klmnopqrstuv
                    RoleArn: arn:aws:iam::123456789012:role/SageMakerRole
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
  /#DescribeNotebookInstance:
    post:
      operationId: DescribeNotebookInstance
      summary: Amazon SageMaker Describe a Notebook Instance
      description: Returns information about a notebook instance.
      tags:
      - Notebook Instances
      parameters:
      - $ref: '#/components/parameters/XAmzTarget'
      requestBody:
        required: true
        content:
          application/x-amz-json-1.1:
            schema:
              type: object
              required:
              - NotebookInstanceName
              properties:
                NotebookInstanceName:
                  type: string
      responses:
        '200':
          description: Successful response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/NotebookInstance'

              examples:
                DescribeNotebookInstance200Example:
                  summary: Default DescribeNotebookInstance 200 response
                  x-microcks-default: true
                  value:
                    Status: Success
                    RequestId: abc12345-def6-7890-ghij-klmnopqrstuv
                    RoleArn: arn:aws:iam::123456789012:role/SageMakerRole
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
  /#ListNotebookInstances:
    post:
      operationId: ListNotebookInstances
      summary: Amazon SageMaker List Notebook Instances
      description: Returns a list of the notebook instances in the requester's account.
      tags:
      - Notebook Instances
      parameters:
      - $ref: '#/components/parameters/XAmzTarget'
      requestBody:
        required: true
        content:
          application/x-amz-json-1.1:
            schema:
              type: object
              properties:
                MaxResults:
                  type: integer
                NextToken:
                  type: string
                SortBy:
                  type: string
                  enum:
                  - Name
                  - CreationTime
                  - Status
                  - LastModifiedTime
                SortOrder:
                  type: string
                  enum:
                  - Ascending
                  - Descending
      responses:
        '200':
          description: Successful response.
          content:
            application/json:
              schema:
                type: object
                properties:
                  NotebookInstances:
                    type: array
                    items:
                      $ref: '#/components/schemas/NotebookInstance'
                  NextToken:
                    type: string

              examples:
                ListNotebookInstances200Example:
                  summary: Default ListNotebookInstances 200 response
                  x-microcks-default: true
                  value:
                    Status: Success
                    RequestId: abc12345-def6-7890-ghij-klmnopqrstuv
                    RoleArn: arn:aws:iam::123456789012:role/SageMakerRole
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
  /#CreateTrainingJob:
    post:
      operationId: CreateTrainingJob
      summary: Amazon SageMaker Create a Training Job
      description: >-
        Starts a model training job. SageMaker provides the algorithm and
        compute resources, and you provide the input data and training
        parameters.
      tags:
      - Training Jobs
      parameters:
      - $ref: '#/components/parameters/XAmzTarget'
      requestBody:
        required: true
        content:
          application/x-amz-json-1.1:
            schema:
              type: object
              required:
              - TrainingJobName
              - AlgorithmSpecification
              - RoleArn
              - OutputDataConfig
              - ResourceConfig
              - StoppingCondition
              properties:
                TrainingJobName:
                  type: string
                AlgorithmSpecification:
                  type: object
                  properties:
                    TrainingImage:
                      type: string
                    TrainingInputMode:
                      type: string
                      enum:
                      - Pipe
                      - File
                    AlgorithmName:
                      type: string
                RoleArn:
                  type: string
                InputDataConfig:
                  type: array
                  items:
                    type: object
                    properties:
                      ChannelName:
                        type: string
                      DataSource:
                        type: object
                        properties:
                          S3DataSource:
                            type: object
                            properties:
                              S3DataType:
                                type: string
                              S3Uri:
                                type: string
                              S3DataDistributionType:
                                type: string
                OutputDataConfig:
                  type: object
                  properties:
                    S3OutputPath:
                      type: string
                    KmsKeyId:
                      type: string
                ResourceConfig:
                  type: object
                  properties:
                    InstanceType:
                      type: string
                    InstanceCount:
                      type: integer
                    VolumeSizeInGB:
                      type: integer
                StoppingCondition:
                  type: object
                  properties:
                    MaxRuntimeInSeconds:
                      type: integer
                    MaxWaitTimeInSeconds:
                      type: integer
                HyperParameters:
                  type: object
                  additionalProperties:
                    type: string
                Tags:
                  type: array
                  items:
                    $ref: '#/components/schemas/Tag'
      responses:
        '200':
          description: Successful response.
          content:
            application/json:
              schema:
                type: object
                properties:
                  TrainingJobArn:
                    type: string

              examples:
                CreateTrainingJob200Example:
                  summary: Default CreateTrainingJob 200 response
                  x-microcks-default: true
                  value:
                    Status: Success
                    RequestId: abc12345-def6-7890-ghij-klmnopqrstuv
                    RoleArn: arn:aws:iam::123456789012:role/SageMakerRole
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
  /#DescribeTrainingJob:
    post:
      operationId: DescribeTrainingJob
      summary: Amazon SageMaker Describe a Training Job
      description: Returns information about a training job.
      tags:
      - Training Jobs
      parameters:
      - $ref: '#/components/parameters/XAmzTarget'
      requestBody:
        required: true
        content:
          application/x-amz-json-1.1:
            schema:
              type: object
              required:
              - TrainingJobName
              properties:
                TrainingJobName:
                  type: string
      responses:
        '200':
          description: Successful response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/TrainingJob'

              examples:
                DescribeTrainingJob200Example:
                  summary: Default DescribeTrainingJob 200 response
                  x-microcks-default: true
                  value:
                    Status: Success
                    RequestId: abc12345-def6-7890-ghij-klmnopqrstuv
                    RoleArn: arn:aws:iam::123456789012:role/SageMakerRole
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
  /#ListTrainingJobs:
    post:
      operationId: ListTrainingJobs
      summary: Amazon SageMaker List Training Jobs
      description: Lists training jobs.
      tags:
      - Training Jobs
      parameters:
      - $ref: '#/components/parameters/XAmzTarget'
      requestBody:
        required: true
        content:
          application/x-amz-json-1.1:
            schema:
              type: object
              properties:
                MaxResults:
                  type: integer
                NextToken:
                  type: string
                SortBy:
                  type: string
                  enum:
                  - Name
                  - CreationTime
                  - Status
                SortOrder:
                  type: string
                  enum:
                  - Ascending
                  - Descending
                StatusEquals:
                  type: string
                  enum:
                  - InProgress
                  - Completed
                  - Failed
                  - Stopping
                  - Stopped
      responses:
        '200':
          description: Successful response.
          content:
            application/json:
              schema:
                type: object
                properties:
                  TrainingJobSummaries:
                    type: array
                    items:
                      $ref: '#/components/schemas/TrainingJob'
                  NextToken:
                    type: string

              examples:
                ListTrainingJobs200Example:
                  summary: Default ListTrainingJobs 200 response
                  x-microcks-default: true
                  value:
                    Status: Success
                    RequestId: abc12345-def6-7890-ghij-klmnopqrstuv
                    RoleArn: arn:aws:iam::123456789012:role/SageMakerRole
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
  /#CreateModel:
    post:
      operationId: CreateModel
      summary: Amazon SageMaker Create a Model
      description: >-
        Creates a model in SageMaker. In the request, you specify a name for
        the model and describe a primary container that contains the inference
        code, model artifacts, and environment variables.
      tags:
      - Models
      parameters:
      - $ref: '#/components/parameters/XAmzTarget'
      requestBody:
        required: true
        content:
          application/x-amz-json-1.1:
            schema:
              type: object
              required:
              - ModelName
              - ExecutionRoleArn
              properties:
                ModelName:
                  type: string
                PrimaryContainer:
                  type: object
                  properties:
                    Image:
                      type: string
                    ModelDataUrl:
                      type: string
                    Environment:
                      type: object
                      additionalProperties:
                        type: string
                ExecutionRoleArn:
                  type: string
                Tags:
                  type: array
                  items:
                    $ref: '#/components/schemas/Tag'
      responses:
        '200':
          description: Successful response.
          content:
            application/json:
              schema:
                type: object
                properties:
                  ModelArn:
                    type: string

              examples:
                CreateModel200Example:
                  summary: Default CreateModel 200 response
                  x-microcks-default: true
                  value:
                    Status: Success
                    RequestId: abc12345-def6-7890-ghij-klmnopqrstuv
                    RoleArn: arn:aws:iam::123456789012:role/SageMakerRole
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
  /#DescribeModel:
    post:
      operationId: DescribeModel
      summary: Amazon SageMaker Describe a Model
      description: Describes a model that you created using the CreateModel API.
      tags:
      - Models
      parameters:
      - $ref: '#/components/parameters/XAmzTarget'
      requestBody:
        required: true
        content:
          application/x-amz-json-1.1:
            schema:
              type: object
              required:
              - ModelName
              properties:
                ModelName:
                  type: string
      responses:
        '200':
          description: Successful response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Model'

              examples:
                DescribeModel200Example:
                  summary: Default DescribeModel 200 response
                  x-microcks-default: true
                  value:
                    Status: Success
                    RequestId: abc12345-def6-7890-ghij-klmnopqrstuv
                    RoleArn: arn:aws:iam::123456789012:role/SageMakerRole
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
  /#ListModels:
    post:
      operationId: ListModels
      summary: Amazon SageMaker List Models
      description: Lists models created with the CreateModel API.
      tags:
      - Models
      parameters:
      - $ref: '#/components/parameters/XAmzTarget'
      requestBody:
        required: true
        content:
          application/x-amz-json-1.1:
            schema:
              type: object
              properties:
                MaxResults:
                  type: integer
                NextToken:
                  type: string
                SortBy:
                  type: string
                  enum:
                  - Name
                  - CreationTime
                SortOrder:
                  type: string
                  enum:
                  - Ascending
                  - Descending
      responses:
        '200':
          description: Successful response.
          content:
            application/json:
              schema:
                type: object
                properties:
                  Models:
                    type: array
                    items:
                      $ref: '#/components/schemas/Model'
                  NextToken:
                    type: string

              examples:
                ListModels200Example:
                  summary: Default ListModels 200 response
                  x-microcks-default: true
                  value:
                    Status: Success
                    RequestId: abc12345-def6-7890-ghij-klmnopqrstuv
                    RoleArn: arn:aws:iam::123456789012:role/SageMakerRole
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
  /#CreateEndpoint:
    post:
      operationId: CreateEndpoint
      summary: Amazon SageMaker Create an Endpoint
      description: >-
        Creates an endpoint using the endpoint configuration specified in the
        request. SageMaker uses the endpoint to provision resources and deploy
        models.
      tags:
      - Endpoints
      parameters:
      - $ref: '#/components/parameters/XAmzTarget'
      requestBody:
        required: true
        content:
          application/x-amz-json-1.1:
            schema:
              type: object
              required:
              - EndpointName
              - EndpointConfigName
              properties:
                EndpointName:
                  type: string
                EndpointConfigName:
                  type: string
                Tags:
                  type: array
                  items:
                    $ref: '#/components/schemas/Tag'
      responses:
        '200':
          description: Successful response.
          content:
            application/json:
              schema:
                type: object
                properties:
                  EndpointArn:
                    type: string

              examples:
                CreateEndpoint200Example:
                  summary: Default CreateEndpoint 200 response
                  x-microcks-default: true
                  value:
                    Status: Success
                    RequestId: abc12345-def6-7890-ghij-klmnopqrstuv
                    RoleArn: arn:aws:iam::123456789012:role/SageMakerRole
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
  /#DescribeEndpoint:
    post:
      operationId: DescribeEndpoint
      summary: Amazon SageMaker Describe an Endpoint
      description: Returns the description of an endpoint.
      tags:
      - Endpoints
      parameters:
      - $ref: '#/components/parameters/XAmzTarget'
      requestBody:
        required: true
        content:
          application/x-amz-json-1.1:
            schema:
              type: object
              required:
              - EndpointName
              properties:
                EndpointName:
                  type: string
      responses:
        '200':
          description: Successful response.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Endpoint'

              examples:
                DescribeEndpoint200Example:
                  summary: Default DescribeEndpoint 200 response
                  x-microcks-default: true
                  value:
                    Status: Success
                    RequestId: abc12345-def6-7890-ghij-klmnopqrstuv
                    RoleArn: arn:aws:iam::123456789012:role/SageMakerRole
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
  /#ListEndpoints:
    post:
      operationId: ListEndpoints
      summary: Amazon SageMaker List Endpoints
      description: Lists endpoints.
      tags:
      - Endpoints
      parameters:
      - $ref: '#/components/parameters/XAmzTarget'
      requestBody:
        required: true
        content:
          application/x-amz-json-1.1:
            schema:
              type: object
              properties:
                MaxResults:
                  type: integer
                NextToken:
                  type: string
                SortBy:
                  type: string
                  enum:
                  - Name
                  - CreationTime
                  - Status
                SortOrder:
                  type: string
                  enum:
                  - Ascending
                  - Descending
                StatusEquals:
                  type: string
                  enum:
                  - OutOfService
                  - Creating
                  - Updating
                  - SystemUpdating
                  - RollingBack
                  - InService
                  - Deleting
                  - Failed
      responses:
        '200':
          description: Successful response.
          content:
            application/json:
              schema:
                type: object
                properties:
                  Endpoints:
                    type: array
                    items:
                      $ref: '#/components/schemas/Endpoint'
                  NextToken:
                    type: string

              examples:
                ListEndpoints200Example:
                  summary: Default ListEndpoints 200 response
                  x-microcks-default: true
                  value:
                    Status: Success
                    RequestId: abc12345-def6-7890-ghij-klmnopqrstuv
                    RoleArn: arn:aws:iam::123456789012:role/SageMakerRole
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
  /#CreateEndpointConfig:
    post:
      operationId: CreateEndpointConfig
      summary: Amazon SageMaker Create an Endpoint Configuration
      description: >-
        Creates an endpoint configuration that SageMaker hosting services uses
        to deploy models. The configuration identifies the ML compute instances
        and the model variants to deploy.
      tags:
      - Endpoints
      parameters:
      - $ref: '#/components/parameters/XAmzTarget'
      requestBody:
        required: true
        content:
          application/x-amz-json-1.1:
            schema:
              type: object
              required:
              - EndpointConfigName
              - ProductionVariants
              properties:
                EndpointConfigName:
                  type: string
                ProductionVariants:
                  type: array
                  items:
                    type: object
                    required:
                    - VariantName
                    - ModelName
                    - InitialInstanceCount
                    - InstanceType
                    properties:
                      VariantName:
                        type: string
                      ModelName:
                        type: string
                      InitialInstanceCount:
                        type: integer
                      InstanceType:
                        type: string
                      InitialVariantWeight:
                        type: number
                Tags:
                  type: array
                  items:
                    $ref: '#/components/schemas/Tag'
      responses:
        '200':
          description: Successful response.
          content:
            application/json:
              schema:
                type: object
                properties:
                  EndpointConfigArn:
                    type: string

              examples:
                CreateEndpointConfig200Example:
                  summary: Default CreateEndpointConfig 200 response
                  x-microcks-default: true
                  value:
                    Status: Success
                    RequestId: abc12345-def6-7890-ghij-klmnopqrstuv
                    RoleArn: arn:aws:iam::123456789012:role/SageMakerRole
      x-microcks-operation:
        delay: 0
        dispatcher: FALLBACK
components:

  parameters:
    XAmzTarget:
      name: X-Amz-Target
      in: header
      required: true
      schema:
        type: string
        example: SageMaker.CreateNotebookInstance
      description: >-
        The target action for the request, in the format SageMaker.<operation>.

  schemas:

    Tag:
      type: object
      properties:
        Key:
          type: string
        Value:
          type: string

    NotebookInstance:
      type: object
      properties:
        NotebookInstanceArn:
          type: string
          description: The Amazon Resource Name (ARN) of the notebook instance.
        NotebookInstanceName:
          type: string
          description: The name of the notebook instance.
        NotebookInstanceStatus:
          type: string
          description: The status of the notebook instance.
          enum:
          - Pending
          - InService
          - Stopping
          - Stopped
          - Failed
          - Deleting
          - Updating
        InstanceType:
          type: string
          description: The type of ML compute instance running the notebook.
        RoleArn:
          type: string
          description: The ARN of the IAM role associated with the instance.
        SubnetId:
          type: string
          description: The ID of the VPC subnet.
        SecurityGroups:
          type: array
          items:
            type: string
          description: The security groups associated with the instance.
        Url:
          type: string
          description: The URL that you use to connect to the Jupyter notebook.
        VolumeSizeInGB:
          type: integer
          description: The size of the ML storage volume in GB.
        CreationTime:
          type: string
          format: date-time
          description: A timestamp indicating when the notebook instance was created.
        LastModifiedTime:
          type: string
          format: date-time
          description: A timestamp indicating when the notebook instance was last modified.

    TrainingJob:
      type: object
      properties:
        TrainingJobName:
          type: string
          description: The name of the training job.
        TrainingJobArn:
          type: string
          description: The Amazon Resource Name (ARN) of the training job.
        TrainingJobStatus:
          type: string
          description: The status of the training job.
          enum:
          - InProgress
          - Completed
          - Failed
          - Stopping
          - Stopped
        SecondaryStatus:
          type: string
          description: Provides detailed information about the state of the training job.
        AlgorithmSpecification:
          type: object
          properties:
            TrainingImage:
              type: string
            TrainingInputMode:
              type: string
            AlgorithmName:
              type: string
        RoleArn:
          type: string
          description: The ARN of the IAM role.
        InputDataConfig:
          type: array
          items:
            type: object
            properties:
              ChannelName:
                type: string
              DataSource:
                type: object
        OutputDataConfig:
          type: object
          properties:
            S3OutputPath:
              type: string
            KmsKeyId:
              type: string
        ResourceConfig:
          type: object
          properties:
            InstanceType:
              type: string
            InstanceCount:
              type: integer
            VolumeSizeInGB:
              type: integer
        StoppingCondition:
          type: object
          properties:
            MaxRuntimeInSeconds:
              type: integer
            MaxWaitTimeInSeconds:
              type: integer
        HyperParameters:
          type: object
          additionalProperties:
            type: string
        ModelArtifacts:
          type: object
          properties:
            S3ModelArtifacts:
              type: string
        TrainingStartTime:
          type: string
          format: date-time
        TrainingEndTime:
          type: string
          format: date-time
        CreationTime:
          type: string
          format: date-time
        LastModifiedTime:
          type: string
          format: date-time
        BillableTimeInSeconds:
          type: integer
        FailureReason:
          type: string

    Model:
      type: object
      properties:
        ModelName:
          type: string
          description: The name of the model.
        ModelArn:
          type: string
          description: The Amazon Resource Name (ARN) of the model.
        PrimaryContainer:
          type: object
          properties:
            Image:
              type: string
              description: The inference image URI.
            ModelDataUrl:
              type: string
              description: The S3 path where the model artifacts are stored.
            Environment:
              type: object
              additionalProperties:
                type: string
              description: Environment variables to set in the container.
        ExecutionRoleArn:
          type: string
          description: The ARN of the IAM role.
        CreationTime:
          type: string
          format: date-time
          description: A timestamp indicating when the model was created.

    Endpoint:
      type: object
      properties:
        EndpointName:
          type: string
          description: The name of the endpoint.
        EndpointArn:
          type: string
          description: The Amazon Resource Name (ARN) of the endpoint.
        EndpointConfigName:
          type: string
          description: The name of the endpoint configuration.
        EndpointStatus:
          type: string
          description: The status of the endpoint.
          enum:
          - OutOfService
          - Creating
          - Updating
          - SystemUpdating
          - RollingBack
          - InService
          - Deleting
          - Failed
        ProductionVariants:
          type: array
          items:
            type: object
            properties:
              VariantName:
                type: string
              DeployedImages:
                type: array
                items:
                  type: object
                  properties:
                    SpecifiedImage:
                      type: string
                    ResolvedImage:
                      type: string
              CurrentWeight:
                type: number
              DesiredWeight:
                type: number
              CurrentInstanceCount:
                type: integer
              DesiredInstanceCount:
                type: integer
          description: An array of production variants.
        CreationTime:
          type: string
          format: date-time
          description: A timestamp indicating when the endpoint was created.
        LastModifiedTime:
          type: string
          format: date-time
          description: A timestamp indicating when the endpoint was last modified.
        FailureReason:
          type: string
          description: If the status i

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