chore: import upstream snapshot with attribution
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This commit is contained in:
@@ -0,0 +1,409 @@
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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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import json
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from unittest.mock import patch
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from google.adk.agents.llm_agent import LlmAgent
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from google.adk.events.event import Event
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from google.adk.flows.llm_flows import functions
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from google.adk.flows.llm_flows.request_confirmation import request_processor
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from google.adk.models.llm_request import LlmRequest
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from google.adk.tools.tool_confirmation import ToolConfirmation
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from google.genai import types
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import pytest
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from ... import testing_utils
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MOCK_TOOL_NAME = "mock_tool"
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MOCK_FUNCTION_CALL_ID = "mock_function_call_id"
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MOCK_CONFIRMATION_FUNCTION_CALL_ID = "mock_confirmation_function_call_id"
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def mock_tool(param1: str):
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"""Mock tool function."""
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return f"Mock tool result with {param1}"
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@pytest.mark.asyncio
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async def test_request_confirmation_processor_no_events():
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"""Test that the processor returns None when there are no events."""
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agent = LlmAgent(name="test_agent", tools=[mock_tool])
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invocation_context = await testing_utils.create_invocation_context(
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agent=agent
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)
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llm_request = LlmRequest()
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events = []
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async for event in request_processor.run_async(
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invocation_context, llm_request
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):
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events.append(event)
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assert not events
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@pytest.mark.asyncio
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async def test_request_confirmation_processor_no_function_responses():
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"""Test that the processor returns None when the user event has no function responses."""
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agent = LlmAgent(name="test_agent", tools=[mock_tool])
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invocation_context = await testing_utils.create_invocation_context(
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agent=agent
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)
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llm_request = LlmRequest()
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invocation_context.session.events.append(
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Event(author="user", content=types.Content())
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)
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events = []
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async for event in request_processor.run_async(
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invocation_context, llm_request
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):
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events.append(event)
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assert not events
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@pytest.mark.asyncio
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async def test_request_confirmation_processor_no_confirmation_function_response():
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"""Test that the processor returns None when no confirmation function response is present."""
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agent = LlmAgent(name="test_agent", tools=[mock_tool])
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invocation_context = await testing_utils.create_invocation_context(
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agent=agent
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)
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llm_request = LlmRequest()
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invocation_context.session.events.append(
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Event(
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author="user",
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content=types.Content(
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parts=[
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types.Part(
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function_response=types.FunctionResponse(
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name="other_function", response={}
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)
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)
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]
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),
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)
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)
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events = []
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async for event in request_processor.run_async(
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invocation_context, llm_request
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):
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events.append(event)
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assert not events
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@pytest.mark.asyncio
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async def test_request_confirmation_processor_success():
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"""Test the successful processing of a tool confirmation."""
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agent = LlmAgent(name="test_agent", tools=[mock_tool])
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invocation_context = await testing_utils.create_invocation_context(
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agent=agent
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)
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llm_request = LlmRequest()
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original_function_call = types.FunctionCall(
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name=MOCK_TOOL_NAME, args={"param1": "test"}, id=MOCK_FUNCTION_CALL_ID
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)
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tool_confirmation = ToolConfirmation(confirmed=False, hint="test hint")
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tool_confirmation_args = {
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"originalFunctionCall": original_function_call.model_dump(
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exclude_none=True, by_alias=True
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),
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"toolConfirmation": tool_confirmation.model_dump(
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by_alias=True, exclude_none=True
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),
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}
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# Event with the request for confirmation
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invocation_context.session.events.append(
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Event(
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author="agent",
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content=types.Content(
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parts=[
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types.Part(
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function_call=types.FunctionCall(
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name=functions.REQUEST_CONFIRMATION_FUNCTION_CALL_NAME,
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args=tool_confirmation_args,
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id=MOCK_CONFIRMATION_FUNCTION_CALL_ID,
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)
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)
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]
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),
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)
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)
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# Event with the user's confirmation
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user_confirmation = ToolConfirmation(confirmed=True)
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invocation_context.session.events.append(
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Event(
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author="user",
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content=types.Content(
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parts=[
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types.Part(
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function_response=types.FunctionResponse(
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name=functions.REQUEST_CONFIRMATION_FUNCTION_CALL_NAME,
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id=MOCK_CONFIRMATION_FUNCTION_CALL_ID,
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response={
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"response": user_confirmation.model_dump_json()
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},
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)
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)
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]
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),
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)
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)
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expected_event = Event(
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author="agent",
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content=types.Content(
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parts=[
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types.Part(
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function_response=types.FunctionResponse(
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name=MOCK_TOOL_NAME,
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id=MOCK_FUNCTION_CALL_ID,
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response={"result": "Mock tool result with test"},
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)
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)
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]
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),
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)
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with patch(
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"google.adk.flows.llm_flows.functions.handle_function_call_list_async"
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) as mock_handle_function_call_list_async:
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mock_handle_function_call_list_async.return_value = expected_event
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events = []
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async for event in request_processor.run_async(
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invocation_context, llm_request
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):
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events.append(event)
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assert len(events) == 1
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assert events[0] == expected_event
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mock_handle_function_call_list_async.assert_called_once()
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args, _ = mock_handle_function_call_list_async.call_args
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assert list(args[1]) == [original_function_call] # function_calls
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assert args[3] == {MOCK_FUNCTION_CALL_ID} # tools_to_confirm
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assert (
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args[4][MOCK_FUNCTION_CALL_ID] == user_confirmation
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) # tool_confirmation_dict
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@pytest.mark.asyncio
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async def test_request_confirmation_processor_tool_not_confirmed():
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"""Test when the tool execution is not confirmed by the user."""
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agent = LlmAgent(name="test_agent", tools=[mock_tool])
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invocation_context = await testing_utils.create_invocation_context(
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agent=agent
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)
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llm_request = LlmRequest()
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original_function_call = types.FunctionCall(
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name=MOCK_TOOL_NAME, args={"param1": "test"}, id=MOCK_FUNCTION_CALL_ID
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)
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tool_confirmation = ToolConfirmation(confirmed=False, hint="test hint")
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tool_confirmation_args = {
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"originalFunctionCall": original_function_call.model_dump(
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exclude_none=True, by_alias=True
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),
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"toolConfirmation": tool_confirmation.model_dump(
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by_alias=True, exclude_none=True
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),
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}
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invocation_context.session.events.append(
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Event(
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author="agent",
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content=types.Content(
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parts=[
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types.Part(
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function_call=types.FunctionCall(
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name=functions.REQUEST_CONFIRMATION_FUNCTION_CALL_NAME,
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args=tool_confirmation_args,
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id=MOCK_CONFIRMATION_FUNCTION_CALL_ID,
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)
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)
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]
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),
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)
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)
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user_confirmation = ToolConfirmation(confirmed=False)
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invocation_context.session.events.append(
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Event(
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author="user",
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content=types.Content(
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parts=[
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types.Part(
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function_response=types.FunctionResponse(
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name=functions.REQUEST_CONFIRMATION_FUNCTION_CALL_NAME,
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id=MOCK_CONFIRMATION_FUNCTION_CALL_ID,
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response={
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"response": user_confirmation.model_dump_json()
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},
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)
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)
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]
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),
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)
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)
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with patch(
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"google.adk.flows.llm_flows.functions.handle_function_call_list_async"
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) as mock_handle_function_call_list_async:
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mock_handle_function_call_list_async.return_value = Event(
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author="agent",
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content=types.Content(
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parts=[
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types.Part(
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function_response=types.FunctionResponse(
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name=MOCK_TOOL_NAME,
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id=MOCK_FUNCTION_CALL_ID,
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response={"error": "Tool execution not confirmed"},
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)
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)
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]
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),
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)
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events = []
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async for event in request_processor.run_async(
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invocation_context, llm_request
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):
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events.append(event)
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assert len(events) == 1
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mock_handle_function_call_list_async.assert_called_once()
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args, _ = mock_handle_function_call_list_async.call_args
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assert (
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args[4][MOCK_FUNCTION_CALL_ID] == user_confirmation
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) # tool_confirmation_dict
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@pytest.mark.asyncio
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async def test_request_confirmation_processor_finds_user_confirmation_in_default_branch():
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"""Processor finds user confirmation in default branch when agent is in child branch.
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Setup:
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- Agent in 'child_branch'.
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- RequestConfirmation event in 'child_branch'.
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- User response event in default branch (None).
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Act: Run request_processor.
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Assert: Processor finds the response and triggers tool execution.
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"""
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# Arrange
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agent = LlmAgent(name="test_agent", tools=[mock_tool])
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invocation_context = await testing_utils.create_invocation_context(
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agent=agent
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)
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# Set branch for the agent context
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invocation_context.branch = "child_branch"
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llm_request = LlmRequest()
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original_function_call = types.FunctionCall(
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name=MOCK_TOOL_NAME, args={"param1": "test"}, id=MOCK_FUNCTION_CALL_ID
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)
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tool_confirmation = ToolConfirmation(confirmed=False, hint="test hint")
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tool_confirmation_args = {
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"originalFunctionCall": original_function_call.model_dump(
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exclude_none=True, by_alias=True
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),
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"toolConfirmation": tool_confirmation.model_dump(
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by_alias=True, exclude_none=True
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),
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}
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# Event with the request for confirmation (in child branch)
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invocation_context.session.events.append(
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Event(
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author="agent",
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branch="child_branch",
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content=types.Content(
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parts=[
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types.Part(
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function_call=types.FunctionCall(
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name=functions.REQUEST_CONFIRMATION_FUNCTION_CALL_NAME,
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args=tool_confirmation_args,
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id=MOCK_CONFIRMATION_FUNCTION_CALL_ID,
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)
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)
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]
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),
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)
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)
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# Event with the user's confirmation (in default branch, branch=None)
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user_confirmation = ToolConfirmation(confirmed=True)
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invocation_context.session.events.append(
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Event(
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author="user",
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branch=None,
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content=types.Content(
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parts=[
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types.Part(
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function_response=types.FunctionResponse(
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name=functions.REQUEST_CONFIRMATION_FUNCTION_CALL_NAME,
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id=MOCK_CONFIRMATION_FUNCTION_CALL_ID,
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response={
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"response": user_confirmation.model_dump_json()
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},
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)
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)
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]
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),
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)
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)
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expected_event = Event(
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author="agent",
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branch="child_branch",
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content=types.Content(
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parts=[
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types.Part(
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function_response=types.FunctionResponse(
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name=MOCK_TOOL_NAME,
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id=MOCK_FUNCTION_CALL_ID,
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response={"result": "Mock tool result with test"},
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)
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)
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]
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),
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)
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# Act & Assert
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with patch(
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"google.adk.flows.llm_flows.functions.handle_function_call_list_async"
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) as mock_handle_function_call_list_async:
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mock_handle_function_call_list_async.return_value = expected_event
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events = []
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async for event in request_processor.run_async(
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invocation_context, llm_request
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):
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events.append(event)
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assert len(events) == 1
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assert events[0] == expected_event
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