# Copyright 2026 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 # # http://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. from google.adk.agents.invocation_context import InvocationContext from google.adk.agents.llm_agent import Agent from google.adk.models.llm_response import LlmResponse from google.adk.sessions.in_memory_session_service import InMemorySessionService from google.adk.tools.google_search_agent_tool import GoogleSearchAgentTool from google.adk.tools.tool_context import ToolContext from google.genai import types from google.genai.types import Part from pytest import mark from .. import testing_utils function_call_no_schema = Part.from_function_call( name='tool_agent', args={'request': 'test1'} ) grounding_metadata = types.GroundingMetadata(web_search_queries=['test query']) # TODO(b/448114567): Remove test_grounding_metadata_ tests once the workaround # is no longer needed. @mark.asyncio async def test_grounding_metadata_is_stored_in_state_during_invocation(): """Verify grounding_metadata is stored in the state during invocation.""" # Mock model for the tool_agent that returns grounding_metadata tool_agent_model = testing_utils.MockModel.create( responses=[ LlmResponse( content=types.Content( parts=[Part.from_text(text='response from tool')] ), grounding_metadata=grounding_metadata, ) ] ) tool_agent = Agent( name='tool_agent', model=tool_agent_model, ) agent_tool = GoogleSearchAgentTool(agent=tool_agent) session_service = InMemorySessionService() session = await session_service.create_session( app_name='test_app', user_id='test_user' ) invocation_context = InvocationContext( invocation_id='invocation_id', agent=tool_agent, session=session, session_service=session_service, ) tool_context = ToolContext(invocation_context=invocation_context) tool_result = await agent_tool.run_async( args=function_call_no_schema.function_call.args, tool_context=tool_context ) # Verify the tool result assert tool_result == 'response from tool' # Verify grounding_metadata is stored in the state assert tool_context.state['temp:_adk_grounding_metadata'] == ( grounding_metadata ) @mark.asyncio async def test_grounding_metadata_is_not_stored_in_state_after_invocation(): """Verify grounding_metadata is not stored in the state after invocation.""" # Mock model for the tool_agent that returns grounding_metadata tool_agent_model = testing_utils.MockModel.create( responses=[ LlmResponse( content=types.Content( parts=[Part.from_text(text='response from tool')] ), grounding_metadata=grounding_metadata, ) ] ) tool_agent = Agent( name='tool_agent', model=tool_agent_model, ) # Mock model for the root_agent root_agent_model = testing_utils.MockModel.create( responses=[ function_call_no_schema, # Call the tool_agent 'Final response from root', ] ) root_agent = Agent( name='root_agent', model=root_agent_model, tools=[GoogleSearchAgentTool(agent=tool_agent)], ) runner = testing_utils.InMemoryRunner(root_agent) events = runner.run('test input') # Find the function response event function_response_event = None for event in events: if event.get_function_responses(): function_response_event = event break # Verify the function response assert function_response_event is not None function_responses = function_response_event.get_function_responses() assert len(function_responses) == 1 tool_output = function_responses[0].response assert tool_output == {'result': 'response from tool'} # Verify grounding_metadata is not stored in the root_agent's state assert 'temp:_adk_grounding_metadata' not in runner.session.state