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

196 lines
5.4 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 typing import Any
from typing import Optional
from google.adk.agents.callback_context import CallbackContext
from google.adk.agents.llm_agent import Agent
from google.adk.models.llm_request import LlmRequest
from google.adk.models.llm_response import LlmResponse
from google.genai import types
from pydantic import BaseModel
import pytest
from ... import testing_utils
class MockBeforeModelCallback(BaseModel):
mock_response: str
def __call__(
self,
callback_context: CallbackContext,
llm_request: LlmRequest,
) -> LlmResponse:
return LlmResponse(
content=testing_utils.ModelContent(
[types.Part.from_text(text=self.mock_response)]
)
)
class MockAfterModelCallback(BaseModel):
mock_response: str
def __call__(
self,
callback_context: CallbackContext,
llm_response: LlmResponse,
) -> LlmResponse:
return LlmResponse(
content=testing_utils.ModelContent(
[types.Part.from_text(text=self.mock_response)]
)
)
class MockOnModelCallback(BaseModel):
mock_response: str
def __call__(
self,
callback_context: CallbackContext,
llm_request: LlmRequest,
error: Exception,
) -> LlmResponse:
return LlmResponse(
content=testing_utils.ModelContent(
[types.Part.from_text(text=self.mock_response)]
)
)
def noop_callback(**kwargs) -> Optional[LlmResponse]:
pass
def test_before_model_callback():
responses = ['model_response']
mock_model = testing_utils.MockModel.create(responses=responses)
agent = Agent(
name='root_agent',
model=mock_model,
before_model_callback=MockBeforeModelCallback(
mock_response='before_model_callback'
),
)
runner = testing_utils.InMemoryRunner(agent)
assert testing_utils.simplify_events(runner.run('test')) == [
('root_agent', 'before_model_callback'),
]
def test_before_model_callback_noop():
responses = ['model_response']
mock_model = testing_utils.MockModel.create(responses=responses)
agent = Agent(
name='root_agent',
model=mock_model,
before_model_callback=noop_callback,
)
runner = testing_utils.InMemoryRunner(agent)
assert testing_utils.simplify_events(runner.run('test')) == [
('root_agent', 'model_response'),
]
def test_before_model_callback_end():
responses = ['model_response']
mock_model = testing_utils.MockModel.create(responses=responses)
agent = Agent(
name='root_agent',
model=mock_model,
before_model_callback=MockBeforeModelCallback(
mock_response='before_model_callback',
),
)
runner = testing_utils.InMemoryRunner(agent)
assert testing_utils.simplify_events(runner.run('test')) == [
('root_agent', 'before_model_callback'),
]
def test_after_model_callback():
responses = ['model_response']
mock_model = testing_utils.MockModel.create(responses=responses)
agent = Agent(
name='root_agent',
model=mock_model,
after_model_callback=MockAfterModelCallback(
mock_response='after_model_callback'
),
)
runner = testing_utils.InMemoryRunner(agent)
assert testing_utils.simplify_events(runner.run('test')) == [
('root_agent', 'after_model_callback'),
]
@pytest.mark.asyncio
async def test_after_model_callback_noop():
responses = ['model_response']
mock_model = testing_utils.MockModel.create(responses=responses)
agent = Agent(
name='root_agent',
model=mock_model,
after_model_callback=noop_callback,
)
runner = testing_utils.TestInMemoryRunner(agent)
assert testing_utils.simplify_events(
await runner.run_async_with_new_session('test')
) == [('root_agent', 'model_response')]
@pytest.mark.asyncio
async def test_on_model_callback_model_error_noop():
"""Test that the on_model_error_callback is a no-op when the model returns an error."""
mock_model = testing_utils.MockModel.create(
responses=[], error=SystemError('error')
)
agent = Agent(
name='root_agent',
model=mock_model,
on_model_error_callback=noop_callback,
)
runner = testing_utils.TestInMemoryRunner(agent)
with pytest.raises(SystemError):
await runner.run_async_with_new_session('test')
@pytest.mark.asyncio
async def test_on_model_callback_model_error_modify_model_response():
"""Test that the on_model_error_callback can modify the model response."""
mock_model = testing_utils.MockModel.create(
responses=[], error=SystemError('error')
)
agent = Agent(
name='root_agent',
model=mock_model,
on_model_error_callback=MockOnModelCallback(
mock_response='on_model_error_callback_response'
),
)
runner = testing_utils.TestInMemoryRunner(agent)
assert testing_utils.simplify_events(
await runner.run_async_with_new_session('test')
) == [('root_agent', 'on_model_error_callback_response')]