from mka1 import SDK, models


with SDK(
    bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as sdk:

    res = sdk.search.tables.create_indices(table_name="<value>", indices=[
        models.IndexRequest(
            field="embedding",
            config=models.IvfFlatIndexConfig(
                distance_type="cosine",
                num_partitions=128,
                max_iterations=50,
                sample_rate=256,
                reindex_after=3600,
            ),
        ),
    ])

    # Handle response
    print(res)

{
  "indices_created": [
    {
      "config": {
        "distance_type": "cosine",
        "num_partitions": 128,
        "type": "IVF_FLAT"
      },
      "field": "embedding",
      "index_type": "IVF_FLAT"
    }
  ],
  "message": "Successfully created 1 indices"
}