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140 lines
4.3 KiB
Python
140 lines
4.3 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.adk.agents.invocation_context import InvocationContext
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from google.adk.agents.llm_agent import Agent
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from google.adk.models.llm_response import LlmResponse
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from google.adk.sessions.in_memory_session_service import InMemorySessionService
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from google.adk.tools.google_search_agent_tool import GoogleSearchAgentTool
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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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from google.genai.types import Part
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from pytest import mark
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from .. import testing_utils
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function_call_no_schema = Part.from_function_call(
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name='tool_agent', args={'request': 'test1'}
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)
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grounding_metadata = types.GroundingMetadata(web_search_queries=['test query'])
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# TODO(b/448114567): Remove test_grounding_metadata_ tests once the workaround
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# is no longer needed.
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@mark.asyncio
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async def test_grounding_metadata_is_stored_in_state_during_invocation():
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"""Verify grounding_metadata is stored in the state during invocation."""
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# Mock model for the tool_agent that returns grounding_metadata
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tool_agent_model = testing_utils.MockModel.create(
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responses=[
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LlmResponse(
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content=types.Content(
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parts=[Part.from_text(text='response from tool')]
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),
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grounding_metadata=grounding_metadata,
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)
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]
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)
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tool_agent = Agent(
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name='tool_agent',
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model=tool_agent_model,
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)
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agent_tool = GoogleSearchAgentTool(agent=tool_agent)
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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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invocation_context = InvocationContext(
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invocation_id='invocation_id',
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agent=tool_agent,
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session=session,
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session_service=session_service,
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)
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tool_context = ToolContext(invocation_context=invocation_context)
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tool_result = await agent_tool.run_async(
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args=function_call_no_schema.function_call.args, tool_context=tool_context
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)
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# Verify the tool result
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assert tool_result == 'response from tool'
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# Verify grounding_metadata is stored in the state
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assert tool_context.state['temp:_adk_grounding_metadata'] == (
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grounding_metadata
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)
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@mark.asyncio
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async def test_grounding_metadata_is_not_stored_in_state_after_invocation():
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"""Verify grounding_metadata is not stored in the state after invocation."""
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# Mock model for the tool_agent that returns grounding_metadata
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tool_agent_model = testing_utils.MockModel.create(
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responses=[
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LlmResponse(
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content=types.Content(
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parts=[Part.from_text(text='response from tool')]
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),
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grounding_metadata=grounding_metadata,
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)
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]
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)
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tool_agent = Agent(
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name='tool_agent',
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model=tool_agent_model,
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)
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# Mock model for the root_agent
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root_agent_model = testing_utils.MockModel.create(
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responses=[
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function_call_no_schema, # Call the tool_agent
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'Final response from root',
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]
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)
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root_agent = Agent(
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name='root_agent',
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model=root_agent_model,
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tools=[GoogleSearchAgentTool(agent=tool_agent)],
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)
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runner = testing_utils.InMemoryRunner(root_agent)
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events = runner.run('test input')
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# Find the function response event
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function_response_event = None
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for event in events:
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if event.get_function_responses():
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function_response_event = event
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break
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# Verify the function response
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assert function_response_event is not None
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function_responses = function_response_event.get_function_responses()
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assert len(function_responses) == 1
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tool_output = function_responses[0].response
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assert tool_output == {'result': 'response from tool'}
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# Verify grounding_metadata is not stored in the root_agent's state
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assert 'temp:_adk_grounding_metadata' not in runner.session.state
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