mirror of
https://github.com/encounter/adk-python.git
synced 2026-07-09 18:19:28 -07:00
feat: Add a tool confirmation flow that can guard tool execution with explicit confirmation and custom input
The existing `LongRunningTool` does not define a programmatic way to provide & validate structured input, also it relies on LLM to reason and parse the user's response. For a quick start, annotate the function with `FunctionTool(my_function, require_confirmation=True)`. A more advanced flow is shown in the `human_tool_confirmation` sample. The new flow is similar to the existing Auth flow: - User request a tool confirmation by calling `tool_context.request_confirmation()` in the tool or `before_tool_callback`, or just using the `require_confirmation` shortcut in FunctionTool. - User can provide custom validation logic before tool call proceeds. - ADK creates corresponding RequestConfirmation FunctionCall Event to ask user for confirmation - User needs to provide the expected tool confirmation to a RequestConfirmation FunctionResponse Event. - ADK then checks the response and continues the tool call. PiperOrigin-RevId: 801019917
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# Copyright 2025 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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