Amazon SageMaker

Amazon SageMaker Models API

Operations for managing SageMaker models.

GitHub OpenAPI
Business capability
Artificial Intelligence Management BC-610.60

Operations 3

Each operation below carries the questions people ask an LLM about it and the instructions they give an agent to run it. Generated by API Evangelist overlay

POST /#CreateModel Register a model with its inference container · Amazon SageMaker Create a Model #
Ask an LLM
“How do I register my model artifacts and inference code so SageMaker can host them?”
“Which IAM role does a model need when I register it?”
Tell an agent
Create a model named {model_name} that runs with role {role_arn}.
Register model {model_name} using primary container {container} and execution role {role_arn}.
POST /#DescribeModel Look up one registered model · Amazon SageMaker Describe a Model #
Ask an LLM
“What container image and execution role is a given model set up with?”
“Where are the artifacts for a model I already registered stored?”
Tell an agent
Describe model {model_name}.
Show the primary container and role for model {model_name}.
POST /#ListModels List registered models · Amazon SageMaker List Models #
Ask an LLM
“Which models have I registered in SageMaker so far?”
“Can I sort my registered models by name or creation time?”
Tell an agent
List all of my registered models.
List my models sorted by {sort_by} in {sort_order} order, {max_results} at a time.

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-models-api-openapi.yml

Code Examples

💻
CodeExamples
https://github.com/aws/amazon-sagemaker-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

🔗
SDKs
https://pypi.org/project/sagemaker/

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OpenAPI Specification

amazon-sagemaker-models-api-openapi.yml Raw ↑ 
openapi: 3.2.0
info:
  title: Amazon SageMaker Models 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.
tags:
- name: Models
  description: Operations for managing SageMaker models.
paths:
  /#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
components:
  schemas:
    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.
    Tag:
      type: object
      properties:
        Key:
          type: string
        Value:
          type: string
  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>.