# Copyright 2025 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 typing import Any from google.adk.agents import Agent from google.adk.tools import BaseTool from google.adk.tools import ToolContext from google.genai import types from google.genai.types import Part from pydantic import BaseModel from ... import testing_utils def simple_function(input_str: str) -> str: return {'result': input_str} class MockBeforeToolCallback(BaseModel): mock_response: dict[str, object] modify_tool_request: bool = False def __call__( self, tool: BaseTool, args: dict[str, Any], tool_context: ToolContext, ) -> dict[str, object]: if self.modify_tool_request: args['input_str'] = 'modified_input' return None return self.mock_response class MockAfterToolCallback(BaseModel): mock_response: dict[str, object] modify_tool_request: bool = False modify_tool_response: bool = False def __call__( self, tool: BaseTool, args: dict[str, Any], tool_context: ToolContext, tool_response: dict[str, Any] = None, ) -> dict[str, object]: if self.modify_tool_request: args['input_str'] = 'modified_input' return None if self.modify_tool_response: tool_response['result'] = 'modified_output' return tool_response return self.mock_response def noop_callback( **kwargs, ) -> dict[str, object]: pass def test_before_tool_callback(): responses = [ types.Part.from_function_call(name='simple_function', args={}), 'response1', ] mock_model = testing_utils.MockModel.create(responses=responses) agent = Agent( name='root_agent', model=mock_model, before_tool_callback=MockBeforeToolCallback( mock_response={'test': 'before_tool_callback'} ), tools=[simple_function], ) runner = testing_utils.InMemoryRunner(agent) assert testing_utils.simplify_events(runner.run('test')) == [ ('root_agent', Part.from_function_call(name='simple_function', args={})), ( 'root_agent', Part.from_function_response( name='simple_function', response={'test': 'before_tool_callback'} ), ), ('root_agent', 'response1'), ] def test_before_tool_callback_noop(): responses = [ types.Part.from_function_call( name='simple_function', args={'input_str': 'simple_function_call'} ), 'response1', ] mock_model = testing_utils.MockModel.create(responses=responses) agent = Agent( name='root_agent', model=mock_model, before_tool_callback=noop_callback, tools=[simple_function], ) runner = testing_utils.InMemoryRunner(agent) assert testing_utils.simplify_events(runner.run('test')) == [ ( 'root_agent', Part.from_function_call( name='simple_function', args={'input_str': 'simple_function_call'} ), ), ( 'root_agent', Part.from_function_response( name='simple_function', response={'result': 'simple_function_call'}, ), ), ('root_agent', 'response1'), ] def test_before_tool_callback_modify_tool_request(): responses = [ types.Part.from_function_call(name='simple_function', args={}), 'response1', ] mock_model = testing_utils.MockModel.create(responses=responses) agent = Agent( name='root_agent', model=mock_model, before_tool_callback=MockBeforeToolCallback( mock_response={'test': 'before_tool_callback'}, modify_tool_request=True, ), tools=[simple_function], ) runner = testing_utils.InMemoryRunner(agent) assert testing_utils.simplify_events(runner.run('test')) == [ ('root_agent', Part.from_function_call(name='simple_function', args={})), ( 'root_agent', Part.from_function_response( name='simple_function', response={'result': 'modified_input'}, ), ), ('root_agent', 'response1'), ] def test_after_tool_callback(): responses = [ types.Part.from_function_call( name='simple_function', args={'input_str': 'simple_function_call'} ), 'response1', ] mock_model = testing_utils.MockModel.create(responses=responses) agent = Agent( name='root_agent', model=mock_model, after_tool_callback=MockAfterToolCallback( mock_response={'test': 'after_tool_callback'} ), tools=[simple_function], ) runner = testing_utils.InMemoryRunner(agent) assert testing_utils.simplify_events(runner.run('test')) == [ ( 'root_agent', Part.from_function_call( name='simple_function', args={'input_str': 'simple_function_call'} ), ), ( 'root_agent', Part.from_function_response( name='simple_function', response={'test': 'after_tool_callback'} ), ), ('root_agent', 'response1'), ] def test_after_tool_callback_noop(): responses = [ types.Part.from_function_call( name='simple_function', args={'input_str': 'simple_function_call'} ), 'response1', ] mock_model = testing_utils.MockModel.create(responses=responses) agent = Agent( name='root_agent', model=mock_model, after_tool_callback=noop_callback, tools=[simple_function], ) runner = testing_utils.InMemoryRunner(agent) assert testing_utils.simplify_events(runner.run('test')) == [ ( 'root_agent', Part.from_function_call( name='simple_function', args={'input_str': 'simple_function_call'} ), ), ( 'root_agent', Part.from_function_response( name='simple_function', response={'result': 'simple_function_call'}, ), ), ('root_agent', 'response1'), ] def test_after_tool_callback_modify_tool_response(): responses = [ types.Part.from_function_call( name='simple_function', args={'input_str': 'simple_function_call'} ), 'response1', ] mock_model = testing_utils.MockModel.create(responses=responses) agent = Agent( name='root_agent', model=mock_model, after_tool_callback=MockAfterToolCallback( mock_response={'result': 'after_tool_callback'}, modify_tool_response=True, ), tools=[simple_function], ) runner = testing_utils.InMemoryRunner(agent) assert testing_utils.simplify_events(runner.run('test')) == [ ( 'root_agent', Part.from_function_call( name='simple_function', args={'input_str': 'simple_function_call'} ), ), ( 'root_agent', Part.from_function_response( name='simple_function', response={'result': 'modified_output'}, ), ), ('root_agent', 'response1'), ]