diff --git a/captainhook.json b/captainhook.json
index fb6c34912e..52c160b7df 100644
--- a/captainhook.json
+++ b/captainhook.json
@@ -28,7 +28,7 @@
           "run": "CaptainHook::File.BlockSecrets",
           "options": {
             "presets": ["Aws", "GitHub", "Stripe", "Google"],
-            "allowed": ["AIDAQEAAAAAAAAAAAABE"]
+            "allowed": ["AIDAQEAAAAAAAAA"]
           }
         },
         {
diff --git a/py/plugins/compat-oai/src/genkit/plugins/compat_oai/models/__init__.py b/py/plugins/compat-oai/src/genkit/plugins/compat_oai/models/__init__.py
index 7c3caa4c4e..75d07d9a9f 100644
--- a/py/plugins/compat-oai/src/genkit/plugins/compat_oai/models/__init__.py
+++ b/py/plugins/compat-oai/src/genkit/plugins/compat_oai/models/__init__.py
@@ -19,7 +19,7 @@
 
 from .handler import OpenAIModelHandler
 from .model import OpenAIModel
-from .model_info import SUPPORTED_OPENAI_MODELS
+from .model_info import SUPPORTED_OPENAI_COMPAT_MODELS, SUPPORTED_OPENAI_MODELS, PluginSource, get_default_model_info
 
 
 def package_name() -> str:
@@ -28,7 +28,10 @@ def package_name() -> str:
 
 __all__ = [
     'OpenAIModel',
+    'PluginSource',
     'SUPPORTED_OPENAI_MODELS',
+    'SUPPORTED_OPENAI_COMPAT_MODELS',
     'OpenAIModelHandler',
+    'get_default_model_info',
     'package_name',
 ]
diff --git a/py/plugins/compat-oai/src/genkit/plugins/compat_oai/models/handler.py b/py/plugins/compat-oai/src/genkit/plugins/compat_oai/models/handler.py
index c36212252c..70b3e4e2f9 100644
--- a/py/plugins/compat-oai/src/genkit/plugins/compat_oai/models/handler.py
+++ b/py/plugins/compat-oai/src/genkit/plugins/compat_oai/models/handler.py
@@ -14,7 +14,6 @@
 #
 # SPDX-License-Identifier: Apache-2.0
 
-
 """OpenAI Compatible Model handlers for Genkit."""
 
 from collections.abc import Callable
@@ -25,9 +24,10 @@
 from genkit.ai import ActionRunContext, GenkitRegistry
 from genkit.plugins.compat_oai.models.model import OpenAIModel
 from genkit.plugins.compat_oai.models.model_info import (
+    SUPPORTED_OPENAI_COMPAT_MODELS,
     SUPPORTED_OPENAI_MODELS,
+    PluginSource,
 )
-from genkit.plugins.compat_oai.typing import OpenAIConfig
 from genkit.types import (
     GenerateRequest,
     GenerateResponse,
@@ -37,17 +37,34 @@
 class OpenAIModelHandler:
     """Handles OpenAI API interactions for the Genkit plugin."""
 
-    def __init__(self, model: Any) -> None:
+    def __init__(self, model: Any, source: PluginSource = PluginSource.OPENAI) -> None:
         """Initializes the OpenAIModelHandler with a specified model.
 
         Args:
             model: An instance of a Model subclass representing the OpenAI model.
+            source: Helps distinguish if model handler is called from model-garden plugin.
+                    Default source is openai.
         """
         self._model = model
+        self._source = source
+
+    @staticmethod
+    def _get_supported_models(source: PluginSource) -> dict[str, Any]:
+        """Returns the supported models based on the plugin source.
+        Args:
+            source: Helps distinguish if model handler is called from model-garden plugin.
+                    Default source is openai.
+
+        Returns:
+            Openai models if source is openai. Merges supported openai models with openai-compat models if source is model-garden.
+
+        """
+
+        return SUPPORTED_OPENAI_COMPAT_MODELS if source == PluginSource.MODEL_GARDEN else SUPPORTED_OPENAI_MODELS
 
     @classmethod
     def get_model_handler(
-        cls, model: str, client: OpenAI, registry: GenkitRegistry
+        cls, model: str, client: OpenAI, registry: GenkitRegistry, source: PluginSource = PluginSource.OPENAI
     ) -> Callable[[GenerateRequest, ActionRunContext], GenerateResponse]:
         """Factory method to initialize the model handler for the specified OpenAI model.
 
@@ -61,6 +78,8 @@ def get_model_handler(
             model: The OpenAI model name.
             client: OpenAI client instance.
             registry: Genkit registry instance.
+            source: Helps distinguish if model handler is called from model-garden plugin.
+                    Default source is openai.
 
         Returns:
             A callable function that acts as an action handler.
@@ -68,11 +87,13 @@ def get_model_handler(
         Raises:
             ValueError: If the specified model is not supported.
         """
-        if model not in SUPPORTED_OPENAI_MODELS:
+        supported_models = cls._get_supported_models(source)
+
+        if model not in supported_models:
             raise ValueError(f"Model '{model}' is not supported.")
 
         openai_model = OpenAIModel(model, client, registry)
-        return cls(openai_model).generate
+        return cls(openai_model, source).generate
 
     def _validate_version(self, version: str) -> None:
         """Validates whether the specified model version is supported.
@@ -83,20 +104,11 @@ def _validate_version(self, version: str) -> None:
         Raises:
             ValueError: If the specified model version is not supported.
         """
-        model_info = SUPPORTED_OPENAI_MODELS[self._model.name]
+        supported_models = self._get_supported_models(self._source)
+        model_info = supported_models[self._model.name]
         if version not in model_info.versions:
             raise ValueError(f"Model version '{version}' is not supported.")
 
-    def _normalize_config(self, config: Any) -> OpenAIConfig:
-        """Ensures the config is an OpenAIConfig instance."""
-        if isinstance(config, OpenAIConfig):
-            return config
-
-        if isinstance(config, dict):
-            return OpenAIConfig(**config)
-
-        raise ValueError(f'Expected request.config to be a dict or OpenAIConfig, got {type(config).__name__}.')
-
     def generate(self, request: GenerateRequest, ctx: ActionRunContext) -> GenerateResponse:
         """Processes the request using OpenAI's chat completion API.
 
@@ -110,12 +122,9 @@ def generate(self, request: GenerateRequest, ctx: ActionRunContext) -> GenerateR
         Raises:
             ValueError: If the specified model version is not supported.
         """
-        request.config = self._normalize_config(request.config)
+        request.config = self._model.normalize_config(request.config)
 
         if request.config.model:
             self._validate_version(request.config.model)
 
-        if ctx.is_streaming:
-            return self._model.generate_stream(request, ctx.send_chunk)
-        else:
-            return self._model.generate(request)
+        return self._model.generate(request, ctx)
diff --git a/py/plugins/compat-oai/src/genkit/plugins/compat_oai/models/model.py b/py/plugins/compat-oai/src/genkit/plugins/compat_oai/models/model.py
index 95dd848757..8d00bcee0e 100644
--- a/py/plugins/compat-oai/src/genkit/plugins/compat_oai/models/model.py
+++ b/py/plugins/compat-oai/src/genkit/plugins/compat_oai/models/model.py
@@ -17,14 +17,16 @@
 """OpenAI Compatible Models for Genkit."""
 
 from collections.abc import Callable
+from typing import Any
 
 from openai import OpenAI, pydantic_function_tool
 from openai.lib._pydantic import _ensure_strict_json_schema
 
 from genkit.ai import ActionKind, GenkitRegistry
+from genkit.core.action._action import ActionRunContext
 from genkit.plugins.compat_oai.models.model_info import SUPPORTED_OPENAI_MODELS
 from genkit.plugins.compat_oai.models.utils import DictMessageAdapter, MessageAdapter, MessageConverter
-from genkit.plugins.compat_oai.typing import SupportedOutputFormat
+from genkit.plugins.compat_oai.typing import OpenAIConfig, SupportedOutputFormat
 from genkit.types import (
     GenerateRequest,
     GenerateResponse,
@@ -144,7 +146,7 @@ def _get_openai_request_config(self, request: GenerateRequest) -> dict:
             openai_config.update(**request.config.model_dump(exclude_none=True))
         return openai_config
 
-    def generate(self, request: GenerateRequest) -> GenerateResponse:
+    def _generate(self, request: GenerateRequest) -> GenerateResponse:
         """Processes the request using OpenAI's chat completion API and returns the generated response.
 
         Args:
@@ -160,7 +162,7 @@ def generate(self, request: GenerateRequest) -> GenerateResponse:
             message=MessageConverter.to_genkit(response.choices[0].message),
         )
 
-    def generate_stream(self, request: GenerateRequest, callback: Callable) -> GenerateResponse:
+    def _generate_stream(self, request: GenerateRequest, callback: Callable) -> GenerateResponse:
         """Streams responses from the OpenAI client and sends chunks to a callback.
 
         Args:
@@ -214,3 +216,31 @@ def generate_stream(self, request: GenerateRequest, callback: Callable) -> Gener
             request=request,
             message=Message(role=Role.MODEL, content=accumulated_content),
         )
+
+    def generate(self, request: GenerateRequest, ctx: ActionRunContext) -> GenerateResponse:
+        """Processes the request using OpenAI's chat completion API.
+
+        Args:
+            request: The request containing messages and configurations.
+            ctx: The context of the action run.
+
+        Returns:
+            A GenerateResponse containing the model's response.
+        """
+        request.config = self.normalize_config(request.config)
+
+        if ctx.is_streaming:
+            return self._generate_stream(request, ctx.send_chunk)
+        else:
+            return self._generate(request)
+
+    @staticmethod
+    def normalize_config(config: Any) -> OpenAIConfig:
+        """Ensures the config is an OpenAIConfig instance."""
+        if isinstance(config, OpenAIConfig):
+            return config
+
+        if isinstance(config, dict):
+            return OpenAIConfig(**config)
+
+        raise ValueError(f'Expected request.config to be a dict or OpenAIConfig, got {type(config).__name__}.')
diff --git a/py/plugins/compat-oai/src/genkit/plugins/compat_oai/models/model_info.py b/py/plugins/compat-oai/src/genkit/plugins/compat_oai/models/model_info.py
index 864951c854..bcef1fe517 100644
--- a/py/plugins/compat-oai/src/genkit/plugins/compat_oai/models/model_info.py
+++ b/py/plugins/compat-oai/src/genkit/plugins/compat_oai/models/model_info.py
@@ -17,12 +17,28 @@
 
 """OpenAI Compatible Models for Genkit."""
 
+import sys
+
+if sys.version_info < (3, 11):
+    from strenum import StrEnum
+else:
+    from enum import StrEnum
+
 from genkit.plugins.compat_oai.typing import SupportedOutputFormat
 from genkit.types import (
     ModelInfo,
     Supports,
 )
 
+OPENAI = 'openai'
+MODEL_GARDEN = 'model-garden'
+
+
+class PluginSource(StrEnum):
+    OPENAI = 'openai'
+    MODEL_GARDEN = 'model-garden'
+
+
 GPT_3_5_TURBO = 'gpt-3.5-turbo'
 GPT_4 = 'gpt-4'
 GPT_4_TURBO = 'gpt-4-turbo'
@@ -30,6 +46,8 @@
 GPT_4O_MINI = 'gpt-4o-mini'
 O1_MINI = 'o1-mini'
 
+LLAMA_3_1 = 'meta/llama3-405b-instruct-maas'
+LLAMA_3_2 = 'meta/llama-3.2-90b-vision-instruct-maas'
 
 SUPPORTED_OPENAI_MODELS: dict[str, ModelInfo] = {
     GPT_3_5_TURBO: ModelInfo(
@@ -124,3 +142,43 @@
         ),
     ),
 }
+
+SUPPORTED_OPENAI_COMPAT_MODELS: dict[str, ModelInfo] = {
+    LLAMA_3_1: ModelInfo(
+        label='ModelGarden - Meta - llama-3.1',
+        supports=Supports(
+            multiturn=True,
+            media=False,
+            tools=True,
+            systemRole=True,
+            output=[SupportedOutputFormat.JSON_MODE, SupportedOutputFormat.TEXT],
+        ),
+    ),
+    LLAMA_3_2: ModelInfo(
+        label='ModelGarden - Meta - llama-3.2',
+        supports=Supports(
+            multiturn=True,
+            media=True,
+            tools=True,
+            systemRole=True,
+            output=[SupportedOutputFormat.JSON_MODE, SupportedOutputFormat.TEXT],
+        ),
+    ),
+}
+
+
+DEFAULT_SUPPORTS = Supports(
+    multiturn=True,
+    media=True,
+    tools=True,
+    systemRole=True,
+    output=[SupportedOutputFormat.JSON_MODE, SupportedOutputFormat.TEXT],
+)
+
+
+def get_default_model_info(name: str) -> ModelInfo:
+    """Gets the default model info given a name."""
+    return ModelInfo(
+        label=f'ModelGarden - {name}',
+        supports=DEFAULT_SUPPORTS,
+    )
diff --git a/py/plugins/compat-oai/tests/test_handler.py b/py/plugins/compat-oai/tests/test_handler.py
index f817c0d886..f0321ef3d2 100644
--- a/py/plugins/compat-oai/tests/test_handler.py
+++ b/py/plugins/compat-oai/tests/test_handler.py
@@ -54,36 +54,3 @@ def test_validate_version() -> None:
 
     with pytest.raises(ValueError, match="Model version 'invalid-version' is not supported."):
         handler._validate_version('invalid-version')
-
-
-def test_handler_generate_non_streaming(sample_request: GenerateRequest) -> None:
-    """Test OpenAIModelHandler generate method in non-streaming mode."""
-    mock_model = MagicMock(spec=OpenAIModel)
-    mock_model.name = GPT_4
-    mock_model.generate.return_value = GenerateResponse(
-        message=Message(role=Role.MODEL, content=[TextPart(text='Hello, user!')])
-    )
-
-    handler = OpenAIModelHandler(mock_model)
-    mock_ctx = MagicMock(spec=ActionRunContext, is_streaming=False)
-
-    response = handler.generate(sample_request, mock_ctx)
-
-    mock_model.generate.assert_called_once()
-    assert isinstance(response, GenerateResponse)
-    assert response.message is not None
-    assert response.message.role == Role.MODEL
-    assert response.message.content[0].root.text == 'Hello, user!'
-
-
-def test_handler_generate_streaming(sample_request: GenerateRequest) -> None:
-    """Test OpenAIModelHandler generate method in streaming mode."""
-    mock_model = MagicMock(spec=OpenAIModel)
-    mock_model.name = GPT_4
-
-    handler = OpenAIModelHandler(mock_model)
-    mock_ctx = MagicMock(spec=ActionRunContext, is_streaming=True)
-
-    handler.generate(sample_request, mock_ctx)
-
-    mock_model.generate_stream.assert_called_once_with(sample_request, mock_ctx.send_chunk)
diff --git a/py/plugins/compat-oai/tests/test_model.py b/py/plugins/compat-oai/tests/test_model.py
index c2d3083ea3..0d16d97b12 100644
--- a/py/plugins/compat-oai/tests/test_model.py
+++ b/py/plugins/compat-oai/tests/test_model.py
@@ -18,17 +18,22 @@
 
 import pytest
 
+from genkit.core.action._action import ActionRunContext
 from genkit.plugins.compat_oai.models import OpenAIModel
 from genkit.plugins.compat_oai.models.model_info import GPT_4
+from genkit.plugins.compat_oai.typing import OpenAIConfig
 from genkit.types import (
     GenerateResponse,
     GenerateResponseChunk,
+    Message,
     Role,
+    TextPart,
 )
 
 
 def test_get_messages(sample_request):
     """Test _get_messages method.
+
     Ensures the method correctly converts GenerateRequest messages into OpenAI-compatible ChatMessage format.
     """
     model = OpenAIModel(model=GPT_4, client=MagicMock(), registry=MagicMock())
@@ -42,8 +47,8 @@ def test_get_messages(sample_request):
 
 
 def test_get_openai_config(sample_request):
-    """
-    Test _get_openai_request_config method.
+    """Test _get_openai_request_config method.
+
     Ensures the method correctly constructs the OpenAI API configuration dictionary.
     """
     model = OpenAIModel(model=GPT_4, client=MagicMock(), registry=MagicMock())
@@ -55,10 +60,8 @@ def test_get_openai_config(sample_request):
     assert isinstance(openai_config['messages'], list)
 
 
-def test_generate(sample_request):
-    """
-    Test generate method calls OpenAI API and returns GenerateResponse.
-    """
+def test__generate(sample_request):
+    """Test generate method calls OpenAI API and returns GenerateResponse."""
     mock_message = MagicMock()
     mock_message.content = 'Hello, user!'
     mock_message.role = 'model'
@@ -70,7 +73,7 @@ def test_generate(sample_request):
     mock_client.chat.completions.create.return_value = mock_response
 
     model = OpenAIModel(model=GPT_4, client=mock_client, registry=MagicMock())
-    response = model.generate(sample_request)
+    response = model._generate(sample_request)
 
     mock_client.chat.completions.create.assert_called_once()
     assert isinstance(response, GenerateResponse)
@@ -78,7 +81,7 @@ def test_generate(sample_request):
     assert response.message.content[0].root.text == 'Hello, user!'
 
 
-def test_generate_stream(sample_request):
+def test__generate_stream(sample_request):
     """Test generate_stream method ensures it processes streamed responses correctly."""
     mock_client = MagicMock()
 
@@ -115,6 +118,54 @@ def __next__(self):
     def callback(chunk: GenerateResponseChunk):
         collected_chunks.append(chunk.content[0].root.text)
 
-    model.generate_stream(sample_request, callback)
+    model._generate_stream(sample_request, callback)
 
     assert collected_chunks == ['Hello', ', world!']
+
+
+@pytest.mark.parametrize(
+    'stream',
+    [
+        True,
+        False,
+    ],
+)
+def test_generate(stream, sample_request):
+    """Tests for generate."""
+    ctx_mock = MagicMock(spec=ActionRunContext)
+    ctx_mock.is_streaming = stream
+
+    mock_response = GenerateResponse(message=Message(role=Role.MODEL, content=[TextPart(text='mocked')]))
+
+    model = OpenAIModel(model=GPT_4, client=MagicMock(), registry=MagicMock())
+    model._generate_stream = MagicMock(return_value=mock_response)
+    model._generate = MagicMock(return_value=mock_response)
+    model.normalize_config = MagicMock(return_value={})
+    response = model.generate(sample_request, ctx_mock)
+
+    assert response == mock_response
+    if stream:
+        model._generate_stream.assert_called_once()
+    else:
+        model._generate.assert_called_once()
+
+
+@pytest.mark.parametrize(
+    'config, expected',
+    [
+        (OpenAIConfig(model='test'), OpenAIConfig(model='test')),
+        ({'model': 'test'}, OpenAIConfig(model='test')),
+        (
+            None,
+            Exception(),
+        ),
+    ],
+)
+def test_normalize_config(config, expected):
+    """Tests for _normalize_config."""
+    if isinstance(expected, Exception):
+        with pytest.raises(ValueError, match=r'Expected request.config to be a dict or OpenAIConfig, got .*'):
+            OpenAIModel.normalize_config(config)
+    else:
+        response = OpenAIModel.normalize_config(config)
+        assert response == expected
diff --git a/py/plugins/compat-oai/tests/test_tool_calling.py b/py/plugins/compat-oai/tests/test_tool_calling.py
index 81f9e40c57..6aaf581df9 100644
--- a/py/plugins/compat-oai/tests/test_tool_calling.py
+++ b/py/plugins/compat-oai/tests/test_tool_calling.py
@@ -58,7 +58,7 @@ def test_generate_with_tool_calls_executes_tools(sample_request: GenerateRequest
 
     model = OpenAIModel(model=GPT_4, client=mock_client, registry=MagicMock())
 
-    response = model.generate(sample_request)
+    response = model._generate(sample_request)
 
     part = response.message.content[0].root
 
@@ -68,7 +68,7 @@ def test_generate_with_tool_calls_executes_tools(sample_request: GenerateRequest
     assert part.tool_request.ref == 'tool123'
 
     # Assume the sample request was processed by Genkit, but a mock side effect was applied
-    response = model.generate(sample_request)
+    response = model._generate(sample_request)
 
     part = response.message.content[0].root
 
@@ -133,7 +133,7 @@ def __next__(self):
     def callback(chunk: GenerateResponseChunk):
         collected_chunks.append(chunk.content[0].root)
 
-    model.generate_stream(sample_request, callback)
+    model._generate_stream(sample_request, callback)
 
     assert len(collected_chunks) == 3
     assert all(isinstance(part, ToolRequestPart) for part in collected_chunks)
diff --git a/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/__init__.py b/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/__init__.py
index f71b7ca9be..21118407bb 100644
--- a/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/__init__.py
+++ b/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/__init__.py
@@ -19,10 +19,7 @@
 It enables the use of Vertex AI models and services within the Genkit framework.
 """
 
-from genkit.plugins.vertex_ai.vector_search.vector_search import (
-    VertexAIVectorSearch,
-    vertexai_name,
-)
+from genkit.plugins.vertex_ai import model_garden, vector_search
 
 
 def package_name() -> str:
@@ -36,6 +33,6 @@ def package_name() -> str:
 
 __all__ = [
     package_name.__name__,
-    vertexai_name.__name__,
-    VertexAIVectorSearch.__name__,
+    vector_search.__name__,
+    model_garden.__name__,
 ]
diff --git a/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/models/__init__.py b/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/constants.py
similarity index 67%
rename from py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/models/__init__.py
rename to py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/constants.py
index 9b70a595b7..42c402d99a 100644
--- a/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/models/__init__.py
+++ b/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/constants.py
@@ -14,17 +14,11 @@
 #
 # SPDX-License-Identifier: Apache-2.0
 
+"""Constants used by the Vertex AI plugin.
 
-"""Google Cloud Vertex AI Models for Genkit."""
+This module defines constants used throughout the Vertex AI plugin,
+including environment variable names and configuration values.
+"""
 
-
-def package_name() -> str:
-    """Get the package name for the Vertex AI models subpackage.
-
-    Returns:
-        The fully qualified package name as a string.
-    """
-    return 'genkit.plugins.vertex_ai.models'
-
-
-__all__ = ['package_name']
+GCLOUD_PROJECT = 'GCLOUD_PROJECT'
+DEFAULT_REGION = 'us-central1'
diff --git a/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/model_garden/__init__.py b/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/model_garden/__init__.py
new file mode 100644
index 0000000000..de241ce898
--- /dev/null
+++ b/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/model_garden/__init__.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.
+#
+# SPDX-License-Identifier: Apache-2.0
+
+from .model_garden import model_garden_name
+from .modelgarden_plugin import VertexAIModelGarden
+
+__all__ = [model_garden_name, VertexAIModelGarden]
diff --git a/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/model_garden/client.py b/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/model_garden/client.py
new file mode 100644
index 0000000000..a28d03aaf8
--- /dev/null
+++ b/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/model_garden/client.py
@@ -0,0 +1,35 @@
+# 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.
+#
+# SPDX-License-Identifier: Apache-2.0
+
+from google.auth import default, transport
+from openai import OpenAI as _OpenAI
+
+
+class OpenAIClient:
+    """Handles OpenAI API client Initialization."""
+
+    def __new__(cls, **openai_params) -> _OpenAI:
+        """Initializes the OpenAIClient based on the plugin source."""
+        location = openai_params.get('location')
+        project_id = openai_params.get('project_id')
+        if project_id:
+            credentials, _ = default()
+        else:
+            credentials, project_id = default()
+
+        credentials.refresh(transport.requests.Request())
+        base_url = f'https://{location}-aiplatform.googleapis.com/v1beta1/projects/{project_id}/locations/{location}/endpoints/openapi'
+        return _OpenAI(api_key=credentials.token, base_url=base_url)
diff --git a/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/model_garden/model_garden.py b/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/model_garden/model_garden.py
new file mode 100644
index 0000000000..e03a801d8a
--- /dev/null
+++ b/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/model_garden/model_garden.py
@@ -0,0 +1,127 @@
+# 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.
+#
+# SPDX-License-Identifier: Apache-2.0
+
+from collections.abc import Callable
+
+from genkit.ai import GenkitRegistry
+from genkit.plugins.compat_oai.models import (
+    SUPPORTED_OPENAI_COMPAT_MODELS,
+    get_default_model_info,
+)
+from genkit.plugins.compat_oai.models.model import OpenAIModel
+from genkit.plugins.compat_oai.typing import OpenAIConfig
+
+from .client import OpenAIClient
+
+OPENAI_COMPAT = 'openai-compat'
+MODELGARDEN_PLUGIN_NAME = 'modelgarden'
+
+
+def model_garden_name(name: str) -> str:
+    """Create a Model Garden action name.
+
+    Args:
+        name: Base name for the action.
+
+    Returns:
+        The fully qualified Model Garden action name.
+    """
+    return f'{MODELGARDEN_PLUGIN_NAME}/{name}'
+
+
+class ModelGarden:
+    """Manages integration with Google's Model Garden service for Genkit.
+
+    This class provides a convenient way to interact with models hosted on
+    Google's Model Garden, allowing them to be exposed as Genkit models
+    with OpenAI compatibility. It handles client initialization, model
+    information retrieval, and dynamic model definition within the Genkit
+    registry.
+    """
+
+    def __init__(
+        self,
+        model: str,
+        location: str,
+        project_id: str,
+        registry: GenkitRegistry,
+    ) -> None:
+        """Initializes the ModelGarden instance.
+
+        Args:
+            model: The name of the specific model to be used from Model Garden
+                in the way <publisher>/<model> (e.g., 'meta/llama3.2-pro-max').
+            location: The Google Cloud region where the Model Garden service
+                is hosted (e.g., 'us-central1').
+            project_id: The Google Cloud project ID where the Model Garden
+                model is deployed.
+            registry: An instance of `GenkitRegistry` to register the
+                OpenAI-compatible model with Genkit.
+        """
+        self.name = model
+        self.ai = registry
+        openai_params = {'location': location, 'project_id': project_id}
+        self.client = OpenAIClient(**openai_params)
+
+    def get_model_info(self) -> dict[str, str] | None:
+        """Retrieves metadata and supported features for the specified model.
+
+        This method looks up the model's information from a predefined list
+        of supported OpenAI-compatible models or provides default information.
+
+        Returns:
+            A dictionary containing the model's 'name' and 'supports' features,
+            or None if no information can be found (though typically, a default
+            is provided). The 'supports' key contains a dictionary representing
+            the model's capabilities (e.g., tools, streaming).
+        """
+        model_info = SUPPORTED_OPENAI_COMPAT_MODELS.get(self.name, get_default_model_info(self.name))
+        return {
+            'name': model_info.label,
+            'supports': model_info.supports.model_dump(),
+        }
+
+    def to_openai_compatible_model(self) -> Callable:
+        """Converts the Model Garden model into an OpenAI-compatible Genkit model function.
+
+        This method wraps the underlying Model Garden client and its generation
+        logic into a callable that adheres to the OpenAI model interface expected
+        by Genkit, specifically providing a `generate` method.
+
+        Returns:
+            A callable function (specifically, the `generate` method of an
+            `OpenAIModel` instance) that can be used by Genkit.
+        """
+        openai_model = OpenAIModel(self.name, self.client, self.ai)
+        return openai_model.generate
+
+    def define_model(self) -> None:
+        """Defines and registers the Model Garden model with the Genkit registry.
+
+        This method orchestrates the retrieval of model metadata and the creation
+        of the OpenAI-compatible generation function, then registers this model
+        within the Genkit framework using `self.ai.define_model`.
+        """
+        model_info = self.get_model_info()
+        generate_fn = self.to_openai_compatible_model()
+        self.ai.define_model(
+            name=model_garden_name(self.name),
+            fn=generate_fn,
+            config_schema=OpenAIConfig,
+            metadata={
+                'model': model_info,
+            },
+        )
diff --git a/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/model_garden/modelgarden_plugin.py b/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/model_garden/modelgarden_plugin.py
new file mode 100644
index 0000000000..4093135b93
--- /dev/null
+++ b/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/model_garden/modelgarden_plugin.py
@@ -0,0 +1,57 @@
+# 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.
+#
+# SPDX-License-Identifier: Apache-2.0
+
+"""ModelGarden API Compatible Plugin for Genkit."""
+
+import os
+
+from genkit.ai import GenkitRegistry, Plugin
+from genkit.plugins.vertex_ai import constants as const
+
+from .model_garden import MODELGARDEN_PLUGIN_NAME, ModelGarden
+
+
+class VertexAIModelGarden(Plugin):
+    """Model Garden plugin for Genkit.
+
+    This plugin provides integration with Google Cloud's Vertex AI platform,
+    enabling the use of Vertex AI models and services within the Genkit
+    framework. It handles initialization of the Model Garden client and
+    registration of model actions.
+    """
+
+    name = MODELGARDEN_PLUGIN_NAME
+
+    def __init__(self, project_id: str | None = None, location: str | None = None, models: list[str] | None = None):
+        """Initialize the plugin by registering actions with the registry."""
+        self.project_id = project_id if project_id is not None else os.getenv(const.GCLOUD_PROJECT)
+        self.location = location if location is not None else const.DEFAULT_REGION
+        self.models = models
+
+    def initialize(self, ai: GenkitRegistry) -> None:
+        """Handles actions for various openaicompatible models."""
+        models = self.models
+        if models is None:
+            return
+
+        for model in models:
+            model_proxy = ModelGarden(
+                model=model,
+                location=self.location,
+                project_id=self.project_id,
+                registry=ai,
+            )
+            model_proxy.define_model()
diff --git a/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/vector_search/__init__.py b/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/vector_search/__init__.py
new file mode 100644
index 0000000000..fd953493c9
--- /dev/null
+++ b/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/vector_search/__init__.py
@@ -0,0 +1,46 @@
+# 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.
+#
+# SPDX-License-Identifier: Apache-2.0
+
+"""This plugin provides integration with Google Cloud's Vertex AI Vector Search."""
+
+from genkit.plugins.vertex_ai.vector_search.retriever import (
+    BigQueryRetriever,
+    FirestoreRetriever,
+    RetrieverOptionsSchema,
+)
+from genkit.plugins.vertex_ai.vector_search.vector_search import (
+    VertexAIVectorSearch,
+    vertexai_name,
+)
+
+
+def package_name() -> str:
+    """Get the package name for the Vertex AI plugin.
+
+    Returns:
+        The fully qualified package name as a string.
+    """
+    return 'genkit.plugins.vertex_ai.vector_search'
+
+
+__all__ = [
+    package_name.__name__,
+    vertexai_name.__name__,
+    VertexAIVectorSearch.__name__,
+    BigQueryRetriever.__name__,
+    FirestoreRetriever.__name__,
+    RetrieverOptionsSchema.__name__,
+]
diff --git a/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/models/retriever.py b/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/vector_search/retriever.py
similarity index 100%
rename from py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/models/retriever.py
rename to py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/vector_search/retriever.py
diff --git a/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/vector_search/vector_search.py b/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/vector_search/vector_search.py
index e7039f991c..8576bcbf15 100644
--- a/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/vector_search/vector_search.py
+++ b/py/plugins/vertex-ai/src/genkit/plugins/vertex_ai/vector_search/vector_search.py
@@ -21,7 +21,7 @@
 from google.cloud import aiplatform_v1
 
 from genkit.ai import GenkitRegistry, Plugin
-from genkit.plugins.vertex_ai.models.retriever import (
+from genkit.plugins.vertex_ai.vector_search.retriever import (
     DocRetriever,
     RetrieverOptionsSchema,
 )
diff --git a/py/plugins/vertex-ai/tests/vector_search/test_retrievers.py b/py/plugins/vertex-ai/tests/vector_search/test_retrievers.py
index 915d166f4d..3feb75ae91 100644
--- a/py/plugins/vertex-ai/tests/vector_search/test_retrievers.py
+++ b/py/plugins/vertex-ai/tests/vector_search/test_retrievers.py
@@ -36,7 +36,7 @@
 from genkit.ai import Genkit
 from genkit.blocks.document import Document, DocumentData
 from genkit.core.typing import Embedding
-from genkit.plugins.vertex_ai.models.retriever import (
+from genkit.plugins.vertex_ai.vector_search.retriever import (
     BigQueryRetriever,
     FirestoreRetriever,
 )
diff --git a/py/plugins/vertex-ai/tests/vector_search/test_vector_search_plugin.py b/py/plugins/vertex-ai/tests/vector_search/test_vector_search_plugin.py
index 4536b87a6e..912831c6d3 100644
--- a/py/plugins/vertex-ai/tests/vector_search/test_vector_search_plugin.py
+++ b/py/plugins/vertex-ai/tests/vector_search/test_vector_search_plugin.py
@@ -19,7 +19,7 @@
 from unittest.mock import MagicMock
 
 from genkit.ai import Genkit
-from genkit.plugins.vertex_ai import VertexAIVectorSearch
+from genkit.plugins.vertex_ai.vector_search import VertexAIVectorSearch
 
 
 def test_initialize_plugin():
diff --git a/py/pyproject.toml b/py/pyproject.toml
index 52977939fa..96d36ecf0d 100644
--- a/py/pyproject.toml
+++ b/py/pyproject.toml
@@ -256,4 +256,4 @@ unauthorized_licenses = [
 [tool.liccheck.authorized_packages]
 certifi      = "2025.4.26" # TODO: Verify.
 dependencies = true
-ollama       = "0.5.0"     # MIT "https://github.com/ollama/ollama-python/blob/main/LICENSE"
+ollama       = "0.5.1"     # MIT "https://github.com/ollama/ollama-python/blob/main/LICENSE"
diff --git a/py/samples/model-garden/LICENSE b/py/samples/model-garden/LICENSE
new file mode 100644
index 0000000000..2205396735
--- /dev/null
+++ b/py/samples/model-garden/LICENSE
@@ -0,0 +1,201 @@
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
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+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
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+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
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+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
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+
+      "Work" shall mean the work of authorship, whether in Source or
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+
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+      of this License, Derivative Works shall not include works that remain
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+      "Contribution" shall mean any work of authorship, including
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+   2. Grant of Copyright License. Subject to the terms and conditions of
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+   4. Redistribution. You may reproduce and distribute copies of the
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+      (c) You must retain, in the Source form of any Derivative Works
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+      (d) If the Work includes a "NOTICE" text file as part of its
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+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
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+          that such additional attribution notices cannot be construed
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+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
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+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
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+   7. Disclaimer of Warranty. Unless required by applicable law or
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+      Contributor provides its Contributions) on an "AS IS" BASIS,
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+      appropriateness of using or redistributing the Work and assume any
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+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
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+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
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+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
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+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
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+
+   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.
diff --git a/py/samples/model-garden/README.md b/py/samples/model-garden/README.md
new file mode 100644
index 0000000000..1cd735addf
--- /dev/null
+++ b/py/samples/model-garden/README.md
@@ -0,0 +1,16 @@
+# Model Garden
+
+## Setup environment
+
+```bash
+uv venv
+source .venv/bin/activate
+```
+
+## Run the sample
+
+TODO
+
+```bash
+genkit start -- uv run --directory py samples/model-garden/src/main.py
+```
diff --git a/py/samples/model-garden/pyproject.toml b/py/samples/model-garden/pyproject.toml
new file mode 100644
index 0000000000..26626b1e2e
--- /dev/null
+++ b/py/samples/model-garden/pyproject.toml
@@ -0,0 +1,26 @@
+[project]
+authors = [{ name = "Google" }]
+classifiers = [
+  "Development Status :: 3 - Alpha",
+  "Environment :: Console",
+  "Environment :: Web Environment",
+  "Intended Audience :: Developers",
+  "Operating System :: OS Independent",
+  "License :: OSI Approved :: Apache Software License",
+  "Programming Language :: Python",
+  "Programming Language :: Python :: 3.12",
+  "Programming Language :: Python :: 3.13",
+  "Programming Language :: Python :: 3 :: Only",
+  "Topic :: Scientific/Engineering :: Artificial Intelligence",
+  "Topic :: Software Development :: Libraries",
+]
+dependencies = [
+  "genkit",
+  "pydantic>=2.10.5",
+]
+description = "Model Garden sample"
+license = { text = "Apache-2.0" }
+name = "model-garden-example"
+readme = "README.md"
+requires-python = ">=3.10"
+version = "0.1.0"
diff --git a/py/samples/model-garden/src/main.py b/py/samples/model-garden/src/main.py
new file mode 100644
index 0000000000..4479bbf219
--- /dev/null
+++ b/py/samples/model-garden/src/main.py
@@ -0,0 +1,81 @@
+# 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.
+#
+# SPDX-License-Identifier: Apache-2.0
+
+import structlog
+
+from genkit.ai import Genkit
+from genkit.plugins.vertex_ai.model_garden import VertexAIModelGarden, model_garden_name
+
+logger = structlog.get_logger(__name__)
+
+ai = Genkit(
+    plugins=[
+        VertexAIModelGarden(
+            location='us-central1',
+            models=['meta/llama-3.2-90b-vision-instruct-maas'],
+        ),
+    ],
+)
+
+
+@ai.flow()
+async def say_hi(name: str) -> str:
+    """Generate a greeting for the given name.
+
+    Args:
+        name: The name of the person to greet.
+
+    Returns:
+        The generated greeting response.
+    """
+    response = await ai.generate(
+        model=model_garden_name('meta/llama-3.2-90b-vision-instruct-maas'),
+        config={'temperature': 1},
+        prompt=f'hi {name}',
+    )
+
+    return response.message.content[0].root.text
+
+
+@ai.flow()
+async def say_hi_stream(name: str) -> str:
+    """Say hi to a name and stream the response.
+
+    Args:
+        name: The name to say hi to.
+
+    Returns:
+        The response from the OpenAI API.
+    """
+    stream, _ = ai.generate_stream(
+        model=model_garden_name('meta/llama-3.2-90b-vision-instruct-maas'),
+        config={'temperature': 1},
+        prompt=f'hi {name}',
+    )
+    result = ''
+    async for data in stream:
+        for part in data.content:
+            result += part.root.text
+    return result
+
+
+async def main() -> None:
+    await logger.ainfo(await say_hi('John Doe'))
+    await logger.ainfo(await say_hi_stream('John Doe'))
+
+
+if __name__ == '__main__':
+    ai.run_main(main())
diff --git a/py/samples/vertex-ai-vector-search-bigquery/src/sample.py b/py/samples/vertex-ai-vector-search-bigquery/src/sample.py
index 0e100bc5b7..f6167d9503 100644
--- a/py/samples/vertex-ai-vector-search-bigquery/src/sample.py
+++ b/py/samples/vertex-ai-vector-search-bigquery/src/sample.py
@@ -26,11 +26,11 @@
     Document,
 )
 from genkit.plugins.google_genai import VertexAI
-from genkit.plugins.vertex_ai import (
+from genkit.plugins.vertex_ai.vector_search import (
+    BigQueryRetriever,
     VertexAIVectorSearch,
     vertexai_name,
 )
-from genkit.plugins.vertex_ai.models.retriever import BigQueryRetriever
 
 LOCATION = os.getenv('LOCATION')
 PROJECT_ID = os.getenv('PROJECT_ID')
@@ -39,7 +39,7 @@
 BIGQUERY_TABLE_NAME = os.getenv('BIGQUERY_TABLE_NAME')
 
 VECTOR_SEARCH_DEPLOYED_INDEX_ID = os.getenv('VECTOR_SEARCH_DEPLOYED_INDEX_ID')
-VECTOR_SEARCH_INDEX_ENDPOINT_PATH = os.getenv('VECVECTOR_SEARCH_INDEX_ENDPOINT_PATHTOR_SEARCH_INDEX_ENDPOINT_ID')
+VECTOR_SEARCH_INDEX_ENDPOINT_PATH = os.getenv('VECTOR_SEARCH_INDEX_ENDPOINT_PATH')
 VECTOR_SEARCH_API_ENDPOINT = os.getenv('VECTOR_SEARCH_API_ENDPOINT')
 
 bq_client = bigquery.Client(project=PROJECT_ID)
diff --git a/py/samples/vertex-ai-vector-search-bigquery/src/setup_env.py b/py/samples/vertex-ai-vector-search-bigquery/src/setup_env.py
index acb435a078..3f5d8879f5 100644
--- a/py/samples/vertex-ai-vector-search-bigquery/src/setup_env.py
+++ b/py/samples/vertex-ai-vector-search-bigquery/src/setup_env.py
@@ -22,14 +22,14 @@
 import structlog
 from google.cloud import aiplatform, aiplatform_v1, bigquery
 
-from genkit import types
 from genkit.ai import Genkit
 from genkit.plugins.google_genai import VertexAI
-from genkit.plugins.vertex_ai import (
+from genkit.plugins.vertex_ai.vector_search import (
+    BigQueryRetriever,
     VertexAIVectorSearch,
     vertexai_name,
 )
-from genkit.plugins.vertex_ai.models.retriever import BigQueryRetriever
+from genkit.types import Document, TextPart
 
 # Environment Variables
 LOCATION = os.getenv('LOCATION')
@@ -103,7 +103,7 @@ async def generate_embeddings():
         table_id=BIGQUERY_TABLE_NAME,
     )
 
-    genkit_documents = [types.Document(content=[types.TextPart(text=text)]) for text in results_dict.values()]
+    genkit_documents = [Document(content=[TextPart(text=text)]) for text in results_dict.values()]
 
     embed_response = await ai.embed(
         embedder=vertexai_name(EMBEDDING_MODEL),
diff --git a/py/samples/vertex-ai-vector-search-firestore/src/sample.py b/py/samples/vertex-ai-vector-search-firestore/src/sample.py
index 739b4f00d2..e38769d7a1 100644
--- a/py/samples/vertex-ai-vector-search-firestore/src/sample.py
+++ b/py/samples/vertex-ai-vector-search-firestore/src/sample.py
@@ -24,11 +24,11 @@
 from genkit.ai import Genkit
 from genkit.blocks.document import Document
 from genkit.plugins.google_genai import VertexAI
-from genkit.plugins.vertex_ai import (
+from genkit.plugins.vertex_ai.vector_search import (
+    FirestoreRetriever,
     VertexAIVectorSearch,
     vertexai_name,
 )
-from genkit.plugins.vertex_ai.models.retriever import FirestoreRetriever
 
 LOCATION = os.getenv('LOCATION')
 PROJECT_ID = os.getenv('PROJECT_ID')
@@ -36,7 +36,7 @@
 FIRESTORE_COLLECTION = os.getenv('FIRESTORE_COLLECTION')
 
 VECTOR_SEARCH_DEPLOYED_INDEX_ID = os.getenv('VECTOR_SEARCH_DEPLOYED_INDEX_ID')
-VECTOR_SEARCH_INDEX_ENDPOINT_PATH = os.getenv('VECVECTOR_SEARCH_INDEX_ENDPOINT_PATHTOR_SEARCH_INDEX_ENDPOINT_ID')
+VECTOR_SEARCH_INDEX_ENDPOINT_PATH = os.getenv('VECTOR_SEARCH_INDEX_ENDPOINT_PATH')
 VECTOR_SEARCH_API_ENDPOINT = os.getenv('VECTOR_SEARCH_API_ENDPOINT')
 
 firestore_client = firestore.Client(project=PROJECT_ID)
diff --git a/py/uv.lock b/py/uv.lock
index 7208de91bb..bb1cf4a8e7 100644
--- a/py/uv.lock
+++ b/py/uv.lock
@@ -1,5 +1,5 @@
 version = 1
-revision = 2
+revision = 1
 requires-python = ">=3.10"
 resolution-markers = [
     "python_full_version >= '3.13'",
@@ -31,6 +31,7 @@ members = [
     "google-genai-vertexai-hello",
     "google-genai-vertexai-image",
     "menu",
+    "model-garden-example",
     "multi-server",
     "ollama-hello",
     "ollama-simple-embed",
@@ -44,27 +45,27 @@ members = [
 name = "aiofiles"
 version = "24.1.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/0b/03/a88171e277e8caa88a4c77808c20ebb04ba74cc4681bf1e9416c862de237/aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c", size = 30247, upload-time = "2024-06-24T11:02:03.584Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/0b/03/a88171e277e8caa88a4c77808c20ebb04ba74cc4681bf1e9416c862de237/aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c", size = 30247 }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/a5/45/30bb92d442636f570cb5651bc661f52b610e2eec3f891a5dc3a4c3667db0/aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5", size = 15896 },
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 [[package]]
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+sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643, upload-time = "2024-05-20T21:33:24.1Z" },
+    { url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643 },
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 [[package]]
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 version = "1.89.0"
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+sdist = { url = "https://files.pythonhosted.org/packages/b6/e2/1c866404ddbd280efedff4a9f15abfe943cb83cde6e895022370f3a61f85/ansicon-1.89.0.tar.gz", hash = "sha256:e4d039def5768a47e4afec8e89e83ec3ae5a26bf00ad851f914d1240b444d2b1", size = 67312 }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/75/f9/f1c10e223c7b56a38109a3f2eb4e7fe9a757ea3ed3a166754fb30f65e466/ansicon-1.89.0-py2.py3-none-any.whl", hash = "sha256:f1def52d17f65c2c9682cf8370c03f541f410c1752d6a14029f97318e4b9dfec", size = 63675 },
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@@ -77,27 +78,27 @@ dependencies = [
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+sdist = { url = "https://files.pythonhosted.org/packages/95/7d/4c1bd541d4dffa1b52bd83fb8527089e097a106fc90b467a7313b105f840/anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028", size = 190949 }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/a1/ee/48ca1a7c89ffec8b6a0c5d02b89c305671d5ffd8d3c94acf8b8c408575bb/anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c", size = 100916 },
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+sdist = { url = "https://files.pythonhosted.org/packages/35/5d/752690df9ef5b76e169e68d6a129fa6d08a7100ca7f754c89495db3c6019/appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee", size = 4170 }
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