feat: GenAI - Release the GenerativeModel to GA

PiperOrigin-RevId: 605495995

Author: Ark-kun

tests/system/vertexai/test_generative_models.py

@@ -23,7 +23,7 @@
 from google import auth
 from google.cloud import aiplatform
 from tests.system.aiplatform import e2e_base
-from vertexai.preview import generative_models
+from vertexai import generative_models
 
 
 class TestGenerativeModels(e2e_base.TestEndToEnd):

tests/unit/vertexai/test_generative_models.py

@@ -22,7 +22,8 @@
 
 import vertexai
 from google.cloud.aiplatform import initializer
-from vertexai.preview import generative_models
+from vertexai import generative_models
+from vertexai.preview import generative_models as preview_generative_models
 from vertexai.generative_models._generative_models import (
     prediction_service,
     gapic_prediction_service_types,
@@ -231,7 +232,11 @@ def teardown_method(self):
         attribute="generate_content",
         new=mock_generate_content,
     )
-    def test_generate_content(self):
+    @pytest.mark.parametrize(
+        "generative_models",
+        [generative_models, preview_generative_models],
+    )
+    def test_generate_content(self, generative_models: generative_models):
         model = generative_models.GenerativeModel("gemini-pro")
         response = model.generate_content("Why is sky blue?")
         assert response.text
@@ -254,7 +259,11 @@ def test_generate_content(self):
         attribute="stream_generate_content",
         new=mock_stream_generate_content,
     )
-    def test_generate_content_streaming(self):
+    @pytest.mark.parametrize(
+        "generative_models",
+        [generative_models, preview_generative_models],
+    )
+    def test_generate_content_streaming(self, generative_models: generative_models):
         model = generative_models.GenerativeModel("gemini-pro")
         stream = model.generate_content("Why is sky blue?", stream=True)
         for chunk in stream:
@@ -265,7 +274,11 @@ def test_generate_content_streaming(self):
         attribute="generate_content",
         new=mock_generate_content,
     )
-    def test_chat_send_message(self):
+    @pytest.mark.parametrize(
+        "generative_models",
+        [generative_models, preview_generative_models],
+    )
+    def test_chat_send_message(self, generative_models: generative_models):
         model = generative_models.GenerativeModel("gemini-pro")
         chat = model.start_chat()
         response1 = chat.send_message("Why is sky blue?")
@@ -278,7 +291,11 @@ def test_chat_send_message(self):
         attribute="generate_content",
         new=mock_generate_content,
     )
-    def test_chat_function_calling(self):
+    @pytest.mark.parametrize(
+        "generative_models",
+        [generative_models, preview_generative_models],
+    )
+    def test_chat_function_calling(self, generative_models: generative_models):
         get_current_weather_func = generative_models.FunctionDeclaration(
             name="get_current_weather",
             description="Get the current weather in a given location",

vertexai/generative_models/__init__.py

@@ -0,0 +1,51 @@
+# Copyright 2023 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.
+#
+"""Classes for working with the Gemini models."""
+
+# We just want to re-export certain classes
+# pylint: disable=g-multiple-import,g-importing-member
+from vertexai.generative_models._generative_models import (
+    GenerativeModel,
+    GenerationConfig,
+    GenerationResponse,
+    Candidate,
+    ChatSession,
+    Content,
+    FinishReason,
+    FunctionDeclaration,
+    HarmCategory,
+    HarmBlockThreshold,
+    Image,
+    Part,
+    ResponseBlockedError,
+    Tool,
+)
+
+__all__ = [
+    "GenerationConfig",
+    "GenerativeModel",
+    "GenerationResponse",
+    "Candidate",
+    "ChatSession",
+    "Content",
+    "FinishReason",
+    "FunctionDeclaration",
+    "HarmCategory",
+    "HarmBlockThreshold",
+    "Image",
+    "Part",
+    "ResponseBlockedError",
+    "Tool",
+]

vertexai/generative_models/_generative_models.py

@@ -1896,6 +1896,10 @@ def _tune_model(
         return job
 
 
+class GenerativeModel(_GenerativeModel):
+    __module__ = "vertexai.generative_models"
+
+
 class _PreviewGenerativeModel(_GenerativeModel, _TunableGenerativeModelMixin):
     __name__ = "GenerativeModel"
     __module__ = "vertexai.preview.generative_models"