feat: GenAI SDK client (Multimodal Dataset) - Create a multimodal dataset from Big Query.

tests/unit/vertexai/genai/replays/test_create_multimodal.py

@@ -26,7 +26,7 @@
 
 
 def test_create_dataset(client):
-    create_dataset_operation = client.multimodal._create_multimodal_dataset(
+    create_dataset_operation = client.datasets._create_multimodal_dataset(
         name="projects/vertex-sdk-dev/locations/us-central1",
         display_name="test-display-name",
         metadata_schema_uri=METADATA_SCHEMA_URI,
@@ -50,7 +50,7 @@ def test_create_dataset(client):
 
 @pytest.mark.asyncio
 async def test_create_dataset_async(client):
-    create_dataset_operation = await client.aio.multimodal._create_multimodal_dataset(
+    create_dataset_operation = await client.aio.datasets._create_multimodal_dataset(
         name="projects/vertex-sdk-dev/locations/us-central1",
         display_name="test-display-name",
         metadata_schema_uri=METADATA_SCHEMA_URI,

tests/unit/vertexai/genai/replays/test_create_multimodal_datasets.py

@@ -0,0 +1,100 @@
+# Copyright 2025 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+# pylint: disable=protected-access,bad-continuation,missing-function-docstring
+
+from tests.unit.vertexai.genai.replays import pytest_helper
+from vertexai._genai import types
+
+import pytest
+
+METADATA_SCHEMA_URI = (
+    "gs://google-cloud-aiplatform/schema/dataset/metadata/multimodal_1.0.0.yaml"
+)
+BIGQUERY_TABLE_NAME = "vertex-sdk-dev.multimodal_dataset.test-table"
+
+
+def test_create_dataset(client):
+    create_dataset_operation = client.datasets._create_multimodal_dataset(
+        name="projects/vertex-sdk-dev/locations/us-central1",
+        display_name="test-display-name",
+        metadata_schema_uri=METADATA_SCHEMA_URI,
+        metadata={
+            "inputConfig": {
+                "bigquerySource": {"uri": f"bq://{BIGQUERY_TABLE_NAME}"},
+            },
+        },
+    )
+    assert isinstance(create_dataset_operation, types.MultimodalDatasetOperation)
+    assert create_dataset_operation
+
+
+def test_create_dataset_from_bigquery(client):
+    dataset = client.datasets.create_multimodal_dataset_from_bigquery(
+        multimodal_dataset=types.MultimodalDataset(
+            display_name="test-from-bigquery",
+            bigquery_uri=BIGQUERY_TABLE_NAME,
+        )
+    )
+    assert isinstance(dataset, types.MultimodalDataset)
+    assert dataset.display_name == "test-from-bigquery"
+
+
+pytestmark = pytest_helper.setup(
+    file=__file__,
+    globals_for_file=globals(),
+)
+
+pytest_plugins = ("pytest_asyncio",)
+
+
+@pytest.mark.asyncio
+async def test_create_dataset_async(client):
+    create_dataset_operation = await client.aio.datasets._create_multimodal_dataset(
+        name="projects/vertex-sdk-dev/locations/us-central1",
+        display_name="test-display-name",
+        metadata_schema_uri=METADATA_SCHEMA_URI,
+        metadata={
+            "inputConfig": {
+                "bigquerySource": {"uri": f"bq://{BIGQUERY_TABLE_NAME}"},
+            },
+        },
+    )
+    assert isinstance(create_dataset_operation, types.MultimodalDatasetOperation)
+    assert create_dataset_operation
+
+
+@pytest.mark.asyncio
+async def test_create_dataset_from_bigquery_async(client):
+    dataset = await client.aio.datasets.create_multimodal_dataset_from_bigquery(
+        multimodal_dataset=types.MultimodalDataset(
+            display_name="test-from-bigquery",
+            bigquery_uri=BIGQUERY_TABLE_NAME,
+        )
+    )
+    assert isinstance(dataset, types.MultimodalDataset)
+    assert dataset.display_name == "test-from-bigquery"
+
+
+@pytest.mark.asyncio
+async def test_create_dataset_from_bigquery_async_with_timeout(client):
+    dataset = await client.aio.datasets.create_multimodal_dataset_from_bigquery(
+        config=types.CreateMultimodalDatasetConfig(timeout=120),
+        multimodal_dataset=types.MultimodalDataset(
+            display_name="test-from-bigquery",
+            bigquery_uri=BIGQUERY_TABLE_NAME,
+        ),
+    )
+    assert isinstance(dataset, types.MultimodalDataset)
+    assert dataset.display_name == "test-from-bigquery"

vertexai/_genai/_datasets_utils.py

@@ -0,0 +1,20 @@
+# Copyright 2025 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+"""Utility functions for multimodal dataset."""
+
+
+METADATA_SCHEMA_URI = (
+    "gs://google-cloud-aiplatform/schema/dataset/metadata/multimodal_1.0.0.yaml"
+)

vertexai/_genai/client.py

@@ -55,7 +55,7 @@ def __init__(self, api_client: genai_client.Client):
         self._agent_engines = None
         self._prompt_optimizer = None
         self._prompts = None
-        self._multimodal = None
+        self._datasets = None
 
     @property
     @_common.experimental_warning(
@@ -121,16 +121,16 @@ def prompts(self):
 
     @property
     @_common.experimental_warning(
-        "The Vertex SDK GenAI async multimodal module is experimental, "
+        "The Vertex SDK GenAI async datasets module is experimental, "
         "and may change in future versions."
     )
-    def multimodal(self):
-        if self._multimodal is None:
-            self._multimodal = importlib.import_module(
-                ".multimodal",
+    def datasets(self):
+        if self._datasets is None:
+            self._datasets = importlib.import_module(
+                ".datasets",
                 __package__,
             )
-        return self._multimodal.AsyncMultimodal(self._api_client)
+        return self._datasets.AsyncDatasets(self._api_client)
 
 
 class Client:
@@ -192,7 +192,7 @@ def __init__(
         self._prompt_optimizer = None
         self._agent_engines = None
         self._prompts = None
-        self._multimodal = None
+        self._datasets = None
 
     @property
     def evals(self) -> Any:
@@ -282,13 +282,13 @@ def prompts(self):
 
     @property
     @_common.experimental_warning(
-        "The Vertex SDK GenAI multimodal module is experimental, "
+        "The Vertex SDK GenAI datasets module is experimental, "
         "and may change in future versions."
     )
-    def multimodal(self):
-        if self._multimodal is None:
-            self._multimodal = importlib.import_module(
-                ".multimodal",
+    def datasets(self):
+        if self._datasets is None:
+            self._datasets = importlib.import_module(
+                ".datasets",
                 __package__,
             )
-        return self._multimodal.Multimodal(self._api_client)
+        return self._datasets.Datasets(self._api_client)