chore: import upstream snapshot with attribution

tests/unittests/flows/llm_flows/test_model_callbacks.py

@@ -0,0 +1,195 @@
+# 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')]