Batch import doesn't apply rate limit when using async indexing

Using the Python client in its version 4.10.4

The function rate_limit is not working if Weaviate is configured in async indexing mode:

    with open(dataset_path, "r") as f:
        collection.batch.rate_limit(100)
        with collection.batch.dynamic() as batch:
            for raw_json_email in f:
                email = json.loads(raw_json_email)
                batch.add_object(
                    properties=email["data"],
                    uuid=email["id"],
                )

The batches have 1000 objects, no mater the rate configured.

Start by tracing collection.batch.rate_limit and the collection.batch.dynamic() path in the Python client, then reproduce the reported behavior with async indexing enabled using the issue's example. Confirm whether the configured limit is applied during batch import; done means batches no longer default to 1000 objects when a different rate is configured.