chore: import upstream snapshot with attribution

tests/unittests/flows/llm_flows/test_basic_processor.py

@@ -0,0 +1,375 @@
+# 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.
+
+"""Tests for basic LLM request processor."""
+
+from unittest import mock
+
+from google.adk.agents.invocation_context import InvocationContext
+from google.adk.agents.llm_agent import LlmAgent
+from google.adk.agents.run_config import RunConfig
+from google.adk.flows.llm_flows.basic import _BasicLlmRequestProcessor
+from google.adk.models.llm_request import LlmRequest
+from google.adk.sessions.in_memory_session_service import InMemorySessionService
+from google.adk.tools.function_tool import FunctionTool
+from google.genai import types
+from pydantic import BaseModel
+from pydantic import Field
+import pytest
+
+
+class OutputSchema(BaseModel):
+  """Test schema for output."""
+
+  name: str = Field(description='A name')
+  value: int = Field(description='A value')
+
+
+def dummy_tool(query: str) -> str:
+  """A dummy tool for testing."""
+  return f'Result: {query}'
+
+
+async def _create_invocation_context(agent: LlmAgent) -> InvocationContext:
+  """Helper to create InvocationContext for testing."""
+  session_service = InMemorySessionService()
+  session = await session_service.create_session(
+      app_name='test_app', user_id='test_user'
+  )
+  return InvocationContext(
+      invocation_id='test-id',
+      agent=agent,
+      session=session,
+      session_service=session_service,
+      run_config=RunConfig(),
+  )
+
+
+class TestBasicLlmRequestProcessor:
+  """Test class for _BasicLlmRequestProcessor."""
+
+  @pytest.mark.asyncio
+  async def test_sets_output_schema_when_no_tools(self):
+    """Test that processor sets output_schema when agent has no tools."""
+    agent = LlmAgent(
+        name='test_agent',
+        model='gemini-2.5-flash',
+        output_schema=OutputSchema,
+        tools=[],  # No tools
+    )
+
+    invocation_context = await _create_invocation_context(agent)
+    llm_request = LlmRequest()
+    processor = _BasicLlmRequestProcessor()
+
+    # Process the request
+    events = []
+    async for event in processor.run_async(invocation_context, llm_request):
+      events.append(event)
+
+    # Should have set response_schema since agent has no tools
+    assert llm_request.config.response_schema == OutputSchema
+    assert llm_request.config.response_mime_type == 'application/json'
+
+  @pytest.mark.asyncio
+  async def test_skips_output_schema_when_tools_present(self, mocker):
+    """Test that processor skips output_schema when agent has tools."""
+    agent = LlmAgent(
+        name='test_agent',
+        model='gemini-2.5-flash',
+        output_schema=OutputSchema,
+        tools=[FunctionTool(func=dummy_tool)],  # Has tools
+    )
+
+    invocation_context = await _create_invocation_context(agent)
+    llm_request = LlmRequest()
+    processor = _BasicLlmRequestProcessor()
+
+    can_use_output_schema_with_tools = mocker.patch(
+        'google.adk.flows.llm_flows.basic.can_use_output_schema_with_tools',
+        mock.MagicMock(return_value=False),
+    )
+
+    # Process the request
+    events = []
+    async for event in processor.run_async(invocation_context, llm_request):
+      events.append(event)
+
+    # Should NOT have set response_schema since agent has tools
+    assert llm_request.config.response_schema is None
+    assert llm_request.config.response_mime_type != 'application/json'
+
+    # Should have checked if output schema can be used with tools
+    can_use_output_schema_with_tools.assert_called_once_with(
+        agent.canonical_model
+    )
+
+  @pytest.mark.asyncio
+  async def test_sets_output_schema_when_tools_present(self, mocker):
+    """Test that processor skips output_schema when agent has tools."""
+    agent = LlmAgent(
+        name='test_agent',
+        model='gemini-2.5-flash',
+        output_schema=OutputSchema,
+        tools=[FunctionTool(func=dummy_tool)],  # Has tools
+    )
+
+    invocation_context = await _create_invocation_context(agent)
+    llm_request = LlmRequest()
+    processor = _BasicLlmRequestProcessor()
+
+    can_use_output_schema_with_tools = mocker.patch(
+        'google.adk.flows.llm_flows.basic.can_use_output_schema_with_tools',
+        mock.MagicMock(return_value=True),
+    )
+
+    # Process the request
+    events = []
+    async for event in processor.run_async(invocation_context, llm_request):
+      events.append(event)
+
+    # Should have set response_schema since output schema can be used with tools
+    assert llm_request.config.response_schema == OutputSchema
+    assert llm_request.config.response_mime_type == 'application/json'
+
+    # Should have checked if output schema can be used with tools
+    can_use_output_schema_with_tools.assert_called_once_with(
+        agent.canonical_model
+    )
+
+  @pytest.mark.asyncio
+  async def test_no_output_schema_no_tools(self):
+    """Test that processor works normally when agent has no output_schema or tools."""
+    agent = LlmAgent(
+        name='test_agent',
+        model='gemini-2.5-flash',
+        # No output_schema, no tools
+    )
+
+    invocation_context = await _create_invocation_context(agent)
+    llm_request = LlmRequest()
+    processor = _BasicLlmRequestProcessor()
+
+    # Process the request
+    events = []
+    async for event in processor.run_async(invocation_context, llm_request):
+      events.append(event)
+
+    # Should not have set anything
+    assert llm_request.config.response_schema is None
+    assert llm_request.config.response_mime_type != 'application/json'
+
+  @pytest.mark.asyncio
+  async def test_sets_model_name(self):
+    """Test that processor sets the model name correctly."""
+    agent = LlmAgent(
+        name='test_agent',
+        model='gemini-2.5-flash',
+    )
+
+    invocation_context = await _create_invocation_context(agent)
+    llm_request = LlmRequest()
+    processor = _BasicLlmRequestProcessor()
+
+    # Process the request
+    events = []
+    async for event in processor.run_async(invocation_context, llm_request):
+      events.append(event)
+
+    # Should have set the model name
+    assert llm_request.model == 'gemini-2.5-flash'
+
+  @pytest.mark.asyncio
+  async def test_skips_output_schema_for_task_mode(self):
+    """Test that processor skips output_schema when agent is in task mode."""
+    agent = LlmAgent(
+        name='test_agent',
+        model='gemini-2.5-flash',
+        mode='task',
+        output_schema=OutputSchema,
+    )
+
+    invocation_context = await _create_invocation_context(agent)
+    llm_request = LlmRequest()
+    processor = _BasicLlmRequestProcessor()
+
+    async for _ in processor.run_async(invocation_context, llm_request):
+      pass
+
+    assert llm_request.config.response_schema is None
+
+  @pytest.mark.asyncio
+  async def test_disables_affective_dialog_and_proactivity_for_gemini_3_x_live(
+      self,
+  ):
+    """Gemini 3.x Live does not support affective_dialog/proactivity."""
+    agent = LlmAgent(
+        name='test_agent',
+        model='gemini-3.5-flash-lite-live-preview',
+    )
+    invocation_context = await _create_invocation_context(agent)
+    invocation_context.run_config = RunConfig(
+        enable_affective_dialog=True,
+        proactivity=types.ProactivityConfig(),
+    )
+    llm_request = LlmRequest()
+    processor = _BasicLlmRequestProcessor()
+
+    async for _ in processor.run_async(invocation_context, llm_request):
+      pass
+
+    assert llm_request.live_connect_config.enable_affective_dialog is None
+    assert llm_request.live_connect_config.proactivity is None
+
+  @pytest.mark.asyncio
+  async def test_keeps_affective_dialog_and_proactivity_for_non_gemini_3_x_live(
+      self,
+  ):
+    """Non-3.x live models keep the configured affective_dialog/proactivity."""
+    agent = LlmAgent(
+        name='test_agent',
+        model='gemini-2.5-flash-live',
+    )
+    invocation_context = await _create_invocation_context(agent)
+    invocation_context.run_config = RunConfig(
+        enable_affective_dialog=True,
+        proactivity=types.ProactivityConfig(),
+    )
+    llm_request = LlmRequest()
+    processor = _BasicLlmRequestProcessor()
+
+    async for _ in processor.run_async(invocation_context, llm_request):
+      pass
+
+    assert llm_request.live_connect_config.enable_affective_dialog is True
+    assert llm_request.live_connect_config.proactivity is not None
+
+  @pytest.mark.asyncio
+  async def test_sets_translation_config(self):
+    """Translation config is forwarded to the live connect config."""
+    agent = LlmAgent(
+        name='test_agent',
+        model='gemini-3.5-live-translate-preview',
+    )
+    invocation_context = await _create_invocation_context(agent)
+    invocation_context.run_config = RunConfig(
+        translation_config=types.TranslationConfig(
+            target_language_code='pl',
+            echo_target_language=True,
+        ),
+    )
+    llm_request = LlmRequest()
+    processor = _BasicLlmRequestProcessor()
+
+    async for _ in processor.run_async(invocation_context, llm_request):
+      pass
+
+    translation_config = llm_request.live_connect_config.translation_config
+    assert translation_config.target_language_code == 'pl'
+    assert translation_config.echo_target_language is True
+
+  @pytest.mark.asyncio
+  async def test_translation_config_defaults_to_none(self):
+    """Without a translation config the live connect field stays None."""
+    agent = LlmAgent(
+        name='test_agent',
+        model='gemini-2.5-flash-live',
+    )
+    invocation_context = await _create_invocation_context(agent)
+    llm_request = LlmRequest()
+    processor = _BasicLlmRequestProcessor()
+
+    async for _ in processor.run_async(invocation_context, llm_request):
+      pass
+
+    assert llm_request.live_connect_config.translation_config is None
+
+  @pytest.mark.asyncio
+  async def test_preserves_merged_http_options(self):
+    """Test that processor preserves and merges existing http_options."""
+    agent = LlmAgent(
+        name='test_agent',
+        model='gemini-1.5-flash',
+        generate_content_config=types.GenerateContentConfig(
+            http_options=types.HttpOptions(
+                timeout=1000,
+                headers={'Agent-Header': 'agent-val'},
+            )
+        ),
+    )
+
+    invocation_context = await _create_invocation_context(agent)
+    llm_request = LlmRequest()
+
+    # Simulate http_options propagated from RunConfig.
+    llm_request.config.http_options = types.HttpOptions(
+        timeout=500,  # Should override agent.
+        headers={
+            'RunConfig-Header': 'run-val',
+            'Agent-Header': 'run-val-override',
+        },
+    )
+
+    processor = _BasicLlmRequestProcessor()
+
+    async for _ in processor.run_async(invocation_context, llm_request):
+      pass
+
+    # RunConfig timeout wins.
+    assert llm_request.config.http_options.timeout == 500
+
+    # Headers merged, RunConfig wins on conflict.
+    assert (
+        llm_request.config.http_options.headers['RunConfig-Header'] == 'run-val'
+    )
+    assert (
+        llm_request.config.http_options.headers['Agent-Header']
+        == 'run-val-override'
+    )
+
+  @pytest.mark.asyncio
+  async def test_merges_http_options_without_headers(self):
+    """RunConfig timeout/extra_body merge even when no headers are set."""
+    agent = LlmAgent(
+        name='test_agent',
+        model='gemini-1.5-flash',
+        generate_content_config=types.GenerateContentConfig(
+            http_options=types.HttpOptions(
+                timeout=1000,
+                headers={'Agent-Header': 'agent-val'},
+            )
+        ),
+    )
+
+    invocation_context = await _create_invocation_context(agent)
+    llm_request = LlmRequest()
+
+    # Propagated RunConfig http_options with no headers.
+    llm_request.config.http_options = types.HttpOptions(
+        timeout=500,
+        extra_body={'priority': 'high'},
+    )
+
+    processor = _BasicLlmRequestProcessor()
+
+    async for _ in processor.run_async(invocation_context, llm_request):
+      pass
+
+    # timeout and extra_body still merge despite empty headers.
+    assert llm_request.config.http_options.timeout == 500
+    assert llm_request.config.http_options.extra_body == {'priority': 'high'}
+    # Agent headers are untouched.
+    assert (
+        llm_request.config.http_options.headers['Agent-Header'] == 'agent-val'
+    )