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chore: Disable SetModelResponseTool workaround for Vertex AI Gemini 2+ models
Gemini models now [support Function calling being used together with structured output on Vertex AI](https://cloud.google.com/vertex-ai/generative-ai/docs/multimodal/function-calling#structured-output-bp). Co-authored-by: Xuan Yang <xygoogle@google.com> PiperOrigin-RevId: 827709903
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# Copyright 2025 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.adk.models.anthropic_llm import Claude
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from google.adk.models.google_llm import Gemini
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from google.adk.utils.output_schema_utils import can_use_output_schema_with_tools
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import pytest
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@pytest.mark.parametrize(
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"model, env_value, expected",
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[
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("gemini-2.5-pro", "1", True),
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("gemini-2.5-pro", "0", False),
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("gemini-2.5-pro", None, False),
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(Gemini(model="gemini-2.5-pro"), "1", True),
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(Gemini(model="gemini-2.5-pro"), "0", False),
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(Gemini(model="gemini-2.5-pro"), None, False),
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("gemini-2.0-flash", "1", True),
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("gemini-2.0-flash", "0", False),
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("gemini-2.0-flash", None, False),
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("gemini-1.5-pro", "1", False),
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("gemini-1.5-pro", "0", False),
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("gemini-1.5-pro", None, False),
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(Claude(model="claude-3.7-sonnet"), "1", False),
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(Claude(model="claude-3.7-sonnet"), "0", False),
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(Claude(model="claude-3.7-sonnet"), None, False),
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],
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)
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def test_can_use_output_schema_with_tools(
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monkeypatch, model, env_value, expected
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):
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"""Test can_use_output_schema_with_tools."""
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if env_value is not None:
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monkeypatch.setenv("GOOGLE_GENAI_USE_VERTEXAI", env_value)
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else:
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monkeypatch.delenv("GOOGLE_GENAI_USE_VERTEXAI", raising=False)
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assert can_use_output_schema_with_tools(model) == expected
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