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chore: import upstream snapshot with attribution
2026-07-13 13:25:13 +08:00

140 lines
4.3 KiB
Python

# 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