chore: import upstream snapshot with attribution
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This commit is contained in:
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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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from typing import Optional
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from google.adk.agents.callback_context import CallbackContext
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from google.adk.agents.llm_agent import Agent
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from google.adk.models.llm_request import LlmRequest
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from google.adk.models.llm_response import LlmResponse
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from google.adk.plugins.base_plugin import BasePlugin
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from google.genai import types
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from google.genai.errors import ClientError
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import pytest
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from ... import testing_utils
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mock_error = ClientError(
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code=429,
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response_json={
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'error': {
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'code': 429,
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'message': 'Quota exceeded.',
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'status': 'RESOURCE_EXHAUSTED',
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}
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},
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)
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class MockPlugin(BasePlugin):
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before_model_text = 'before_model_text from MockPlugin'
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after_model_text = 'after_model_text from MockPlugin'
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on_model_error_text = 'on_model_error_text from MockPlugin'
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def __init__(self, name='mock_plugin'):
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self.name = name
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self.enable_before_model_callback = False
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self.enable_after_model_callback = False
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self.enable_on_model_error_callback = False
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self.before_model_response = LlmResponse(
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content=testing_utils.ModelContent(
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[types.Part.from_text(text=self.before_model_text)]
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)
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)
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self.after_model_response = LlmResponse(
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content=testing_utils.ModelContent(
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[types.Part.from_text(text=self.after_model_text)]
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)
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)
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self.on_model_error_response = LlmResponse(
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content=testing_utils.ModelContent(
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[types.Part.from_text(text=self.on_model_error_text)]
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)
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)
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async def before_model_callback(
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self, *, callback_context: CallbackContext, llm_request: LlmRequest
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) -> Optional[LlmResponse]:
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if not self.enable_before_model_callback:
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return None
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return self.before_model_response
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async def after_model_callback(
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self, *, callback_context: CallbackContext, llm_response: LlmResponse
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) -> Optional[LlmResponse]:
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if not self.enable_after_model_callback:
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return None
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return self.after_model_response
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async def on_model_error_callback(
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self,
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*,
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callback_context: CallbackContext,
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llm_request: LlmRequest,
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error: Exception,
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) -> Optional[LlmResponse]:
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if not self.enable_on_model_error_callback:
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return None
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return self.on_model_error_response
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CANONICAL_MODEL_CALLBACK_CONTENT = 'canonical_model_callback_content'
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def canonical_agent_model_callback(**kwargs) -> Optional[LlmResponse]:
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return LlmResponse(
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content=testing_utils.ModelContent(
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[types.Part.from_text(text=CANONICAL_MODEL_CALLBACK_CONTENT)]
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)
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)
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@pytest.fixture
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def mock_plugin():
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return MockPlugin()
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def test_before_model_callback_with_plugin(mock_plugin):
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"""Tests that the model response is overridden by before_model_callback from the plugin."""
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responses = ['model_response']
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mock_model = testing_utils.MockModel.create(responses=responses)
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mock_plugin.enable_before_model_callback = True
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agent = Agent(
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name='root_agent',
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model=mock_model,
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)
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runner = testing_utils.InMemoryRunner(agent, plugins=[mock_plugin])
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assert testing_utils.simplify_events(runner.run('test')) == [
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('root_agent', mock_plugin.before_model_text),
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]
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def test_before_model_fallback_canonical_callback(mock_plugin):
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"""Tests that when plugin returns empty response, the model response is overridden by the canonical agent model callback."""
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responses = ['model_response']
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mock_plugin.enable_before_model_callback = False
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mock_model = testing_utils.MockModel.create(responses=responses)
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agent = Agent(
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name='root_agent',
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model=mock_model,
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before_model_callback=canonical_agent_model_callback,
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)
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runner = testing_utils.InMemoryRunner(agent)
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assert testing_utils.simplify_events(runner.run('test')) == [
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('root_agent', CANONICAL_MODEL_CALLBACK_CONTENT),
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]
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def test_before_model_callback_fallback_model(mock_plugin):
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"""Tests that the model response is executed normally when both plugin and canonical agent model callback return empty response."""
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responses = ['model_response']
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mock_plugin.enable_before_model_callback = False
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mock_model = testing_utils.MockModel.create(responses=responses)
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agent = Agent(
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name='root_agent',
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model=mock_model,
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)
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runner = testing_utils.InMemoryRunner(agent, plugins=[mock_plugin])
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assert testing_utils.simplify_events(runner.run('test')) == [
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('root_agent', 'model_response'),
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]
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def test_on_model_error_callback_with_plugin(mock_plugin):
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"""Tests that the model error is handled by the plugin."""
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mock_model = testing_utils.MockModel.create(error=mock_error, responses=[])
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mock_plugin.enable_on_model_error_callback = True
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agent = Agent(
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name='root_agent',
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model=mock_model,
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)
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runner = testing_utils.InMemoryRunner(agent, plugins=[mock_plugin])
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assert testing_utils.simplify_events(runner.run('test')) == [
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('root_agent', mock_plugin.on_model_error_text),
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]
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def test_on_model_error_callback_fallback_to_runner(mock_plugin):
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"""Tests that the model error is not handled and falls back to raise from runner."""
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mock_model = testing_utils.MockModel.create(error=mock_error, responses=[])
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mock_plugin.enable_on_model_error_callback = False
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agent = Agent(
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name='root_agent',
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model=mock_model,
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)
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try:
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testing_utils.InMemoryRunner(agent, plugins=[mock_plugin])
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except Exception as e:
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assert e == mock_error
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if __name__ == '__main__':
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pytest.main([__file__])
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