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https://github.com/GoogleCloudPlatform/vertex-ai-samples.git
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vincentkt-googleandGitHub
86674effee
* Add and update existing vertex skills - Add support for fine tuning for 1p gemini tuning - Add support for deploying fine tuned model support - Add support for running inference on MaaS models - Add open model support for regions and cost estimating for 3p tuning * fixing some of the commit errors * updated scripts to use existing gemini 1.5 pro model * swap gemini 1.5 pro to gemini 2.5 pro
33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
# Copyright 2026 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from google import genai
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import google.auth
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# Get default project ID from environment
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_, project_id = google.auth.default()
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client = genai.Client(
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vertexai=True,
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project=project_id,
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location="global", # OpenMaaS models are often global
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)
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# Note: For GenAI SDK/Vertex with OpenMaaS, you MUST use the full path: `publishers/PUBLISHER/models/MODEL`
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response = client.models.generate_content(
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model="publishers/zai-org/models/glm-5-maas",
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contents="Explain quantum computing in simple terms.",
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)
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print(response.text)
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