aws-apigateway-sagemakerendpoint - AWS Solutions Constructs

aws-apigateway-sagemakerendpoint

Stability:Experimental
Reference Documentation: https://docs.aws.amazon.com/solutions/latest/constructs/
Language Package

Python Logo Python

aws_solutions_constructs.aws_apigateway_sagemakerendpoint

Typescript Logo Typescript

@aws-solutions-constructs/aws-apigateway-sagemakerendpoint

Java Logo Java

software.amazon.awsconstructs.services.apigatewaysagemakerendpoint

Overview

This AWS Solutions Construct implements an Amazon API Gateway connected to an Amazon SageMaker endpoint pattern.

Here is a minimal deployable pattern definition:

Example
Typescript
import { Construct } from 'constructs'; import { Stack, StackProps } from 'aws-cdk-lib'; import { ApiGatewayToSageMakerEndpoint, ApiGatewayToSageMakerEndpointProps } from '@aws-solutions-constructs/aws-apigateway-sagemakerendpoint'; // Below is an example VTL (Velocity Template Language) mapping template for mapping the Api GET request to the Sagemaker POST request const requestTemplate = ` { "instances": [ # set( $user_id = $input.params("user_id") ) # set( $items = $input.params("items") ) # foreach( $item in $items.split(",") ) # if( $foreach.hasNext ),#end {"in0": [$user_id], "in1": [$item]} $esc.newline # end ] }` // Replace 'my-endpoint' with your Sagemaker Inference Endpoint new ApiGatewayToSageMakerEndpoint(this, 'test-apigw-sagemakerendpoint', { endpointName: 'my-endpoint', resourcePath: '{user_id}', requestMappingTemplate: requestTemplate });
Python
from aws_solutions_constructs.aws_apigateway_sagemakerendpoint import ApiGatewayToSageMakerEndpoint from aws_cdk import Stack from constructs import Construct # Below is an example VTL (Velocity Template Language) mapping template for mapping the Api GET request to the Sagemaker POST request request_template = """ { "instances": [ # set( $user_id = $input.params("user_id") ) # set( $items = $input.params("items") ) # foreach( $item in $items.split(",") ) # if( $foreach.hasNext ),#end {"in0": [$user_id], "in1": [$item]} $esc.newline # end ] }""" # Replace 'my-endpoint' with your Sagemaker Inference Endpoint ApiGatewayToSageMakerEndpoint(self, 'test-apigw-sagemakerendpoint', endpoint_name='my-endpoint', resource_path='{user_id}', request_mapping_template=request_template )
Java
import software.constructs.Construct; import software.amazon.awscdk.Stack; import software.amazon.awscdk.StackProps; import software.amazon.awsconstructs.services.apigatewaysagemakerendpoint.*; // Create an example VTL (Velocity Template Language) mapping template for mapping the Api GET request to the Sagemaker POST request final String requestTemplate = "{" + "\"instances\": [" + "# set( $user_id = $input.params(\"user_id\") )" + "# set( $items = $input.params(\"items\") )" + "# foreach( $item in $items.split(\",\") )" + "# if( $foreach.hasNext ),#end" + "{\"in0\": [$user_id], \"in1\": [$item]}" + " $esc.newline" + "# end" + "]" + "}"; // Replace ""my-endpoint"" with your Sagemaker Inference Endpoint new ApiGatewayToSageMakerEndpoint(this, "ApiGatewayToSageMakerEndpointPattern", new ApiGatewayToSageMakerEndpointProps.Builder() .endpointName("my-endpoint") .resourcePath("{user_id}") .requestMappingTemplate(requestTemplate) .build());

Pattern Construct Props

Name Type Description

apiGatewayProps?

api.RestApiProps

Optional - user provided props to override the default props for the API Gateway.

createUsagePlan?

boolean

Whether to create a Usage Plan attached to the API. Must be true if apiGatewayProps.defaultMethodOptions.apiKeyRequired is true. @default - true (to match legacy behavior)

apiGatewayExecutionRole?

iam.Role

IAM Role used by API Gateway to invoke the SageMaker endpoint. If not specified, a default role is created with access to endpointName.

endpointName

string

Name of the deployed SageMaker inference endpoint.

resourceName?

string

Optional resource name where the GET method will be available.

resourcePath

string

Resource path for the GET method. The variable defined here can be referenced in requestMappingTemplate.

requestMappingTemplate

string

Mapping template to convert GET requests for the default application/json content-type received on the REST API to POST requests expected by the SageMaker endpoint.

additionalRequestTemplates

{ [contentType: string]: string; }

Optional Request Templates for content-types other than application/json. Use the requestMappingTemplate property to set the request template for the application/json content-type.

responseMappingTemplate?

string

Optional mapping template to convert responses received from the SageMaker endpoint.

logGroupProps?

logs.LogGroupProps

User provided props to override the default props for for the CloudWatchLogs LogGroup.

Pattern Properties

Name Type Description

apiGateway

api.RestApi

Returns an instance of the API Gateway REST API created by the pattern.

apiGatewayRole

iam.Role

Returns an instance of the iam.Role created by the construct for API Gateway.

apiGatewayCloudWatchRole?

iam.Role

Returns an instance of the iam.Role created by the construct for API Gateway for CloudWatch access.

apiGatewayLogGroup

logs.LogGroup

Returns an instance of the LogGroup created by the construct for API Gateway access logging to CloudWatch.

Sample API Usage

Method Request Path Query String SageMaker Action Description

GET

/321

items=101,131,162

sagemaker:InvokeEndpoint

Retrieves the predictions for a specific user and items.

Default settings

Out of the box implementation of the Construct without any override will set the following defaults:

Amazon API Gateway

  • Deploy an edge-optimized API endpoint

  • Enable CloudWatch logging for API Gateway

  • Configure least privilege access IAM role for API Gateway

  • Set the default authorizationType for all API methods to IAM

  • Enable X-Ray Tracing

  • Validate request parameters before passing data to SageMaker

Architecture

Diagram showing Amazon CloudWatch, API Gateway, SageMaker AI endpoint, and IAM roles connections.

Github

Go to the Github repo for this pattern to view the code, read/create issues and pull requests and more.