chore: import upstream snapshot with attribution
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This commit is contained in:
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# 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.adk.agents.invocation_context import InvocationContext
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from google.adk.agents.sequential_agent import SequentialAgent
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from google.adk.models.llm_request import LlmRequest
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from google.adk.sessions.in_memory_session_service import InMemorySessionService
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from google.adk.tools.enterprise_search_tool import EnterpriseWebSearchTool
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from google.adk.tools.tool_context import ToolContext
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from google.genai import types
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import pytest
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async def _create_tool_context() -> ToolContext:
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"""Creates a ToolContext for testing."""
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session_service = InMemorySessionService()
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session = await session_service.create_session(
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app_name='test_app', user_id='test_user'
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)
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agent = SequentialAgent(name='test_agent')
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invocation_context = InvocationContext(
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invocation_id='invocation_id',
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agent=agent,
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session=session,
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session_service=session_service,
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)
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return ToolContext(invocation_context)
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@pytest.mark.asyncio
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@pytest.mark.parametrize(
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'model_name',
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[
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'gemini-2.5-flash',
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'projects/test-project/locations/global/publishers/google/models/gemini-2.5-flash',
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],
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)
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async def test_process_llm_request_success_with_gemini_models(model_name):
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tool = EnterpriseWebSearchTool()
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llm_request = LlmRequest(
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model=model_name, config=types.GenerateContentConfig()
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)
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tool_context = await _create_tool_context()
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await tool.process_llm_request(
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tool_context=tool_context, llm_request=llm_request
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)
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assert (
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llm_request.config.tools[0].enterprise_web_search
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== types.EnterpriseWebSearch()
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)
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@pytest.mark.asyncio
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async def test_process_llm_request_failure_with_non_gemini_models():
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tool = EnterpriseWebSearchTool()
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llm_request = LlmRequest(model='gpt-4o', config=types.GenerateContentConfig())
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tool_context = await _create_tool_context()
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with pytest.raises(ValueError) as exc_info:
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await tool.process_llm_request(
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tool_context=tool_context, llm_request=llm_request
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)
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assert 'is not supported for model' in str(exc_info.value)
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@pytest.mark.asyncio
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async def test_process_llm_request_non_gemini_with_disabled_check(monkeypatch):
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monkeypatch.setenv('ADK_DISABLE_GEMINI_MODEL_ID_CHECK', 'true')
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tool = EnterpriseWebSearchTool()
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llm_request = LlmRequest(
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model='internal-model-v1', config=types.GenerateContentConfig()
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)
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tool_context = await _create_tool_context()
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await tool.process_llm_request(
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tool_context=tool_context, llm_request=llm_request
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)
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assert (
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llm_request.config.tools[0].enterprise_web_search
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== types.EnterpriseWebSearch()
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)
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@pytest.mark.asyncio
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async def test_process_llm_request_failure_with_multiple_tools_gemini_1_models():
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tool = EnterpriseWebSearchTool()
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llm_request = LlmRequest(
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model='gemini-1.5-flash',
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config=types.GenerateContentConfig(
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tools=[
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types.Tool(google_search=types.GoogleSearch()),
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]
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),
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)
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tool_context = await _create_tool_context()
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with pytest.raises(ValueError) as exc_info:
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await tool.process_llm_request(
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tool_context=tool_context, llm_request=llm_request
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)
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assert 'cannot be used with other tools in Gemini 1.x.' in str(exc_info.value)
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