import os
from datagrid_ai import Datagrid

client = Datagrid(
    api_key=os.environ.get("DATAGRID_API_KEY"),  # This is the default and can be omitted
)
page = client.batch_predictions.list()
page = page.data[0]
print(page.id)

{
  "object": "list",
  "data": [
    {
      "object": "batch_prediction",
      "id": "bpred_abc123",
      "status": "completed",
      "model": "gemini-2.5-flash",
      "completion_window": "24h",
      "created_at": "2026-04-10T12:00:00.000Z",
      "expires_at": "2026-04-11T12:00:00.000Z",
      "in_progress_at": "2026-04-10T12:01:00.000Z",
      "finalizing_at": "2026-04-10T12:05:00.000Z",
      "completed_at": "2026-04-10T12:06:00.000Z",
      "failed_at": null,
      "cancelling_at": null,
      "cancelled_at": null,
      "expired_at": null,
      "request_counts": {
        "total": 2,
        "processing": 0,
        "succeeded": 2,
        "errored": 0,
        "canceled": 0,
        "expired": 0
      },
      "metadata": {
        "project": "alpha"
      },
      "error": null,
      "results_url": "/v1/batch-predictions/bpred_abc123/results"
    }
  ],
  "next_cursor": "<string>",
  "has_more": true
}