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