import Dataframer from 'dataframer';

const client = new Dataframer({
  apiKey: process.env['DATAFRAMER_API_KEY'], // This is the default and can be omitted
});

const run = await client.dataframer.runs.retrieve('run_id');

console.log(run.spec_version_id);

{
  "spec_version_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "spec_id": "<string>",
  "spec_name": "<string>",
  "spec_version": 123,
  "dataset_id": "<string>",
  "dataset_name": "<string>",
  "dataset_type": "<string>",
  "number_of_samples": -1,
  "status": "PENDING",
  "status_display": "<string>",
  "started_at": "2023-11-07T05:31:56Z",
  "completed_at": "2023-11-07T05:31:56Z",
  "runtime_params": {},
  "trace": {},
  "metrics_json": {},
  "created_by": 123,
  "created_by_name": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "duration_seconds": 123
}