Amazon SageMaker

Amazon SageMaker Endpoints API

Operations for managing SageMaker endpoints.

GitHub OpenAPI
Business capability
Artificial Intelligence Management BC-610.60

Operations 5

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 /#CreateEndpoint Deploy a model to a live hosting endpoint · Create Endpoint #
Ask an LLM
“How do I put a trained model behind a live SageMaker endpoint for real-time predictions?”
“Which endpoint configuration does a new endpoint need before it can start serving?”
Tell an agent
Create endpoint {endpoint_name} using endpoint configuration {config_name}.
Stand up a new hosting endpoint called {endpoint_name} from config {config_name} and tag it with {tags}.
POST /#DeleteEndpoint Delete Endpoint #
POST /#DescribeEndpoint Check the details and status of one endpoint · Describe Endpoint #
Ask an LLM
“Is my inference endpoint finished provisioning and ready to take traffic?”
“What configuration is a specific endpoint currently running with?”
Tell an agent
Show me the details of endpoint {endpoint_name}.
Tell me whether endpoint {endpoint_name} is in service yet.
POST /#ListEndpoints List hosting endpoints in the account · List Endpoints #
Ask an LLM
“Which inference endpoints do I have running in my account right now?”
“Can I see only the endpoints that are failed or still being created?”
Tell an agent
List all of my SageMaker endpoints.
List endpoints with status {status}, sorted by {sort_by}.
POST /#UpdateEndpoint Update Endpoint #

Documentation

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

Specifications

⚙
OpenAPI
https://artifacts.apis.io/amazon-sagemaker/openapi/amazon-sagemaker-endpoints-api-openapi.yml

Code Examples

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

Schemas & Data

📊
JSONSchema
https://artifacts.apis.io/amazon-sagemaker/json-schema/amazon-sagemaker-notebook-instance-schema.json
📊
JSONSchema
https://artifacts.apis.io/amazon-sagemaker/json-schema/amazon-sagemaker-training-job-schema.json
📊
JSONSchema
https://artifacts.apis.io/amazon-sagemaker/json-schema/amazon-sagemaker-model-schema.json
📊
JSONSchema
https://artifacts.apis.io/amazon-sagemaker/json-schema/amazon-sagemaker-endpoint-schema.json

Other Resources

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

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OpenAPI Specification

amazon-sagemaker-endpoints-api-openapi.yml Raw ↑ 
openapi: 3.1.0
info:
  title: Amazon SageMaker Service Endpoints API
  version: '2017-07-24'
  description: Generated from AWS's published Smithy model for Amazon SageMaker Service. 5 operation(s).
  contact:
    name: Amazon Web Services
    url: https://aws.amazon.com/contact-us/
  license:
    name: Apache 2.0
    identifier: Apache-2.0
    url: https://github.com/aws/api-models-aws/blob/main/LICENSE
servers:
- url: https://api.sagemaker.{region}.amazonaws.com
  variables:
    region:
      default: us-east-1
security:


# --- truncated at 32 KB (68 KB total) ---
# Full source: https://artifacts.apis.io/amazon-sagemaker/openapi/amazon-sagemaker-endpoints-api-openapi.yml