feat: Allow toolset to process llm_request before tools returned by it

PiperOrigin-RevId: 785480813

tests/unittests/flows/llm_flows/test_base_llm_flow.py

@@ -0,0 +1,150 @@
+# 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.
+
+"""Unit tests for BaseLlmFlow toolset integration."""
+
+from unittest.mock import AsyncMock
+
+from google.adk.agents import Agent
+from google.adk.flows.llm_flows.base_llm_flow import BaseLlmFlow
+from google.adk.models.llm_request import LlmRequest
+from google.adk.models.llm_response import LlmResponse
+from google.adk.tools.base_toolset import BaseToolset
+from google.genai import types
+import pytest
+
+from ... import testing_utils
+
+
+class BaseLlmFlowForTesting(BaseLlmFlow):
+  """Test implementation of BaseLlmFlow for testing purposes."""
+
+  pass
+
+
+@pytest.mark.asyncio
+async def test_preprocess_calls_toolset_process_llm_request():
+  """Test that _preprocess_async calls process_llm_request on toolsets."""
+
+  # Create a mock toolset that tracks if process_llm_request was called
+  class _MockToolset(BaseToolset):
+
+    def __init__(self):
+      super().__init__()
+      self.process_llm_request_called = False
+      self.process_llm_request = AsyncMock(side_effect=self._track_call)
+
+    async def _track_call(self, **kwargs):
+      self.process_llm_request_called = True
+
+    async def get_tools(self, readonly_context=None):
+      return []
+
+    async def close(self):
+      pass
+
+  mock_toolset = _MockToolset()
+
+  # Create a mock model that returns a simple response
+  mock_response = LlmResponse(
+      content=types.Content(
+          role='model', parts=[types.Part.from_text(text='Test response')]
+      ),
+      partial=False,
+  )
+
+  mock_model = testing_utils.MockModel.create(responses=[mock_response])
+
+  # Create agent with the mock toolset
+  agent = Agent(name='test_agent', model=mock_model, tools=[mock_toolset])
+  invocation_context = await testing_utils.create_invocation_context(
+      agent=agent, user_content='test message'
+  )
+
+  flow = BaseLlmFlowForTesting()
+
+  # Call _preprocess_async
+  llm_request = LlmRequest()
+  events = []
+  async for event in flow._preprocess_async(invocation_context, llm_request):
+    events.append(event)
+
+  # Verify that process_llm_request was called on the toolset
+  assert mock_toolset.process_llm_request_called
+
+
+@pytest.mark.asyncio
+async def test_preprocess_handles_mixed_tools_and_toolsets():
+  """Test that _preprocess_async properly handles both tools and toolsets."""
+  from google.adk.tools.base_tool import BaseTool
+  from google.adk.tools.function_tool import FunctionTool
+
+  # Create a mock tool
+  class _MockTool(BaseTool):
+
+    def __init__(self):
+      super().__init__(name='mock_tool', description='Mock tool')
+      self.process_llm_request_called = False
+      self.process_llm_request = AsyncMock(side_effect=self._track_call)
+
+    async def _track_call(self, **kwargs):
+      self.process_llm_request_called = True
+
+    async def call(self, **kwargs):
+      return 'mock result'
+
+  # Create a mock toolset
+  class _MockToolset(BaseToolset):
+
+    def __init__(self):
+      super().__init__()
+      self.process_llm_request_called = False
+      self.process_llm_request = AsyncMock(side_effect=self._track_call)
+
+    async def _track_call(self, **kwargs):
+      self.process_llm_request_called = True
+
+    async def get_tools(self, readonly_context=None):
+      return []
+
+    async def close(self):
+      pass
+
+  def _test_function():
+    """Test function tool."""
+    return 'function result'
+
+  mock_tool = _MockTool()
+  mock_toolset = _MockToolset()
+
+  # Create agent with mixed tools and toolsets
+  agent = Agent(
+      name='test_agent', tools=[mock_tool, _test_function, mock_toolset]
+  )
+
+  invocation_context = await testing_utils.create_invocation_context(
+      agent=agent, user_content='test message'
+  )
+
+  flow = BaseLlmFlowForTesting()
+
+  # Call _preprocess_async
+  llm_request = LlmRequest()
+  events = []
+  async for event in flow._preprocess_async(invocation_context, llm_request):
+    events.append(event)
+
+  # Verify that process_llm_request was called on both tools and toolsets
+  assert mock_tool.process_llm_request_called
+  assert mock_toolset.process_llm_request_called