sagemaker

Prerequisites

• winglang.

Installation

npm i @winglibs/sagemaker

Usage

The library enables owners of a trained sagemaker model, to access its Endpoints from a winglang inflight code.

bring sagemaker;
bring cloud;

let sm = new sagemaker.Endpoint("my-endpoint-name", "my-inference-name");

let handler = inflight () => {
  let res = sm.invoke({
    inputs: "do AI stuff"
    },
    ContentType: "application/json"
  );
  log(res.Body);
};

new cloud.Function(handler);

Troubleshooting

Encountering issues? Here are some common problems and their solutions:

Error: Region is missing

Problem: When trying to invoke the sagemaker model, the region reports missing Error: Region is missing

Solution:

Add AWS_REGION to the cloud.Function environment variable:

bring sagemaker;
bring cloud;

let sm = new sagemaker.Endpoint("my-endpoint-name", "my-inference-name");

let handler = inflight () => {
  let res = sm.invoke({
    inputs: "do AI stuff"
    },
    ContentType: "application/json"
  );
  log(res.Body);
};

new cloud.Function(handler, env: {
  "AWS_REGION":"us-west-2"
});

License

This library is licensed under the MIT License.