gcloud alpha ai endpoints raw-predict

gcloud alpha ai endpoints raw-predict - run Vertex AI online raw prediction

gcloud alpha ai endpoints raw-predict (ENDPOINT : --region=REGION) --request=REQUEST [--http-headers=[HEADER=VALUE,…]] [GCLOUD_WIDE_FLAG …]

gcloud alpha ai endpoints raw-predict 123 --project=example --region=us-central1 --request='{
    "instances": [
      { "values": [1, 2, 3, 4], "key": 1 },
      { "values": [5, 6, 7, 8], "key": 2 }
    ]
  }'

If the request body was in the file input.json, run:

gcloud alpha ai endpoints raw-predict 123 --project=example --region=us-central1 --request=@input.json

To send the image file image.jpeg and set the content type, run:

gcloud alpha ai endpoints raw-predict 123 --project=example --region=us-central1 --http-headers=Content-Type=image/jpeg --request=@image.jpeg

Endpoint resource - The endpoint to do online raw prediction. The arguments in this group can be used to specify the attributes of this resource. (NOTE) Some attributes are not given arguments in this group but can be set in other ways.

To set the project attribute:

• provide the argument endpoint on the command line with a fully specified name;
• provide the argument --project on the command line;
• set the property core/project.

This must be specified.

ENDPOINT

ID of the endpoint or fully qualified identifier for the endpoint.

To set the name attribute:

• provide the argument endpoint on the command line.

This positional argument must be specified if any of the other arguments in this group are specified.

--region=REGION

Cloud region for the endpoint.

To set the region attribute:

• provide the argument endpoint on the command line with a fully specified name;
• provide the argument --region on the command line;
• set the property ai/region;
• choose one from the prompted list of available regions.

--request=REQUEST

The request to send to the endpoint.

If the request starts with the letter '@', the rest should be a file name to read the request from, or '@-' to read from stdin. If the request body actually starts with '@', it must be placed in a file.

If required, the Content-Type header should also be set appropriately, particularly for binary data.

--http-headers=[HEADER=VALUE,…]

List of header and value pairs to send as part of the request. For example, to set the Content-Type and X-Header:

--http-headers=Content-Type="application/json",X-Header=Value

Run $ gcloud help for details.