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adk-python/tests/unittests/flows/llm_flows/test_tool_callbacks.py
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# 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.llm_agent import Agent
from google.adk.tools.base_tool import BaseTool
from google.adk.tools.tool_context 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'),
]