From abd4b3f894fe2834b47c2461a42e9e968a009687 Mon Sep 17 00:00:00 2001
From: yishan-pu <107094052+yishan-pu@users.noreply.github.com>
Date: Wed, 7 May 2025 11:16:50 -0700
Subject: [PATCH] feat(generativeai): Create
 genai_sdk_supervised_test_example.py

Add a Gen AI SDK to test a tuned endpoint.
---
 .../genai_sdk_supervised_test_example.py      | 50 +++++++++++++++++++
 1 file changed, 50 insertions(+)
 create mode 100644 generative_ai/model_tuning/genai_sdk_supervised_test_example.py

diff --git a/generative_ai/model_tuning/genai_sdk_supervised_test_example.py b/generative_ai/model_tuning/genai_sdk_supervised_test_example.py
new file mode 100644
index 00000000000..f970a890609
--- /dev/null
+++ b/generative_ai/model_tuning/genai_sdk_supervised_test_example.py
@@ -0,0 +1,50 @@
+# Copyright 2024 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
+#
+#    https://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.
+
+import os
+
+PROJECT_ID = os.getenv("GOOGLE_CLOUD_PROJECT")
+
+
+def genai_sdk_gemini_test_tuned_endpoint() -> str:
+  # [START genaisdk_gemini_test_tuned_endpoint]
+  from google import genai
+
+  # TODO(developer): Update and un-comment below lines
+  # PROJECT_ID = "your-project-id"
+  client = genai.Client(
+      vertexai=True,
+      project=PROJECT_ID,
+      location="us-central1",
+  )
+
+  name = "projects/12345678/locations/us-central1/tuningJobs/123456789012345"
+  tuning_job = client.tunings.get(name=name)
+
+  contents = "Why is the sky blue?"
+
+  # Tests the tuned model Endpoint.
+  # If intermediate checkpoints are enabled, the tuned model Endpoint will be the default checkpoint Endpoint.
+  response = client.models.generate_content(
+      model=tuning_job.tuned_model.endpoint,
+      contents=contents,
+  )
+  print(response.text)
+
+  # [END genaisdk_gemini_test_tuned_endpoint]
+  return response.text
+
+
+if __name__ == "__main__":
+  genai_sdk_gemini_test_tuned_endpoint()