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feat(generativeai): Create genai_sdk_supervised_get_example.py #13351

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feat(generativeai): Create genai_sdk_supervised_get_example.py #13351

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63 changes: 63 additions & 0 deletions generative_ai/model_tuning/genai_sdk_supervised_get_example.py
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# 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

from google.genai import types

PROJECT_ID = os.getenv("GOOGLE_CLOUD_PROJECT")


def genai_sdk_gemini_get_tuning_job() -> types.TuningJob:
# [START genaisdk_gemini_get_tuning_job]
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/123456789012/locations/us-central1/tuningJobs/123456789012345"
)
tuning_job = client.tunings.get(name=name)
print(tuning_job)
# Example response:
# name='projects/123456789012/locations/us-central1/tuningJobs/123456789012345' state=<JobState.JOB_STATE_SUCCEEDED: 'JOB_STATE_SUCCEEDED'> ...

print(tuning_job.tuned_model.model)
print(tuning_job.tuned_model.endpoint)
print(tuning_job.experiment)
# Example response:
# projects/123456789012/locations/us-central1/models/1234567890@1
# projects/123456789012/locations/us-central1/endpoints/123456789012345
# projects/123456789012/locations/us-central1/metadataStores/default/contexts/tuning-experiment-20250101

if tuning_job.tuned_model.checkpoints:
for i in range(len(tuning_job.tuned_model.checkpoints)):
checkpoint = tuning_job.tuned_model.checkpoints[i]
print(f"Checkpoint {i + 1}: ", checkpoint)
# Example response:
# Checkpoint 1: checkpoint_id='1' epoch=1 step=10 endpoint='projects/123456789012/locations/us-central1/endpoints/123456789000000'
# Checkpoint 2: checkpoint_id='2' epoch=2 step=20 endpoint='projects/123456789012/locations/us-central1/endpoints/123456789012345'

# [END genaisdk_gemini_get_tuning_job]
return tuning_job


if __name__ == "__main__":
genai_sdk_gemini_get_tuning_job()