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fix: Include current turn context when include_contents='none'
The intended behavior for include_contents='none' is to: - Exclude conversation history from previous turns - Still include current turn context (user input, tool calls/responses within current turn) https://google.github.io/adk-docs/agents/llm-agents/#managing-context-include_contents This resolves https://github.com/google/adk-python/issues/1124 PiperOrigin-RevId: 775400036
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# Copyright 2025 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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"""Unit tests for LlmAgent include_contents field behavior."""
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from google.adk.agents.llm_agent import LlmAgent
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from google.adk.agents.sequential_agent import SequentialAgent
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from google.genai import types
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import pytest
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from .. import testing_utils
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@pytest.mark.asyncio
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async def test_include_contents_default_behavior():
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"""Test that include_contents='default' preserves conversation history including tool interactions."""
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def simple_tool(message: str) -> dict:
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return {"result": f"Tool processed: {message}"}
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mock_model = testing_utils.MockModel.create(
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responses=[
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types.Part.from_function_call(
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name="simple_tool", args={"message": "first"}
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),
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"First response",
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types.Part.from_function_call(
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name="simple_tool", args={"message": "second"}
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),
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"Second response",
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]
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)
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agent = LlmAgent(
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name="test_agent",
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model=mock_model,
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include_contents="default",
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instruction="You are a helpful assistant",
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tools=[simple_tool],
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)
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runner = testing_utils.InMemoryRunner(agent)
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runner.run("First message")
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runner.run("Second message")
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# First turn requests
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assert testing_utils.simplify_contents(mock_model.requests[0].contents) == [
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("user", "First message")
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]
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assert testing_utils.simplify_contents(mock_model.requests[1].contents) == [
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("user", "First message"),
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(
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"model",
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types.Part.from_function_call(
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name="simple_tool", args={"message": "first"}
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),
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),
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(
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"user",
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types.Part.from_function_response(
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name="simple_tool", response={"result": "Tool processed: first"}
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),
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),
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]
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# Second turn should include full conversation history
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assert testing_utils.simplify_contents(mock_model.requests[2].contents) == [
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("user", "First message"),
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(
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"model",
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types.Part.from_function_call(
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name="simple_tool", args={"message": "first"}
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),
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),
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(
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"user",
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types.Part.from_function_response(
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name="simple_tool", response={"result": "Tool processed: first"}
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),
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),
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("model", "First response"),
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("user", "Second message"),
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]
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# Second turn with tool should include full history + current tool interaction
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assert testing_utils.simplify_contents(mock_model.requests[3].contents) == [
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("user", "First message"),
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(
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"model",
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types.Part.from_function_call(
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name="simple_tool", args={"message": "first"}
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),
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),
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(
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"user",
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types.Part.from_function_response(
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name="simple_tool", response={"result": "Tool processed: first"}
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),
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),
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("model", "First response"),
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("user", "Second message"),
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(
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"model",
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types.Part.from_function_call(
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name="simple_tool", args={"message": "second"}
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),
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),
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(
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"user",
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types.Part.from_function_response(
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name="simple_tool", response={"result": "Tool processed: second"}
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),
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),
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]
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@pytest.mark.asyncio
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async def test_include_contents_none_behavior():
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"""Test that include_contents='none' excludes conversation history but includes current input."""
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def simple_tool(message: str) -> dict:
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return {"result": f"Tool processed: {message}"}
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mock_model = testing_utils.MockModel.create(
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responses=[
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types.Part.from_function_call(
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name="simple_tool", args={"message": "first"}
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),
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"First response",
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"Second response",
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]
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)
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agent = LlmAgent(
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name="test_agent",
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model=mock_model,
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include_contents="none",
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instruction="You are a helpful assistant",
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tools=[simple_tool],
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)
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runner = testing_utils.InMemoryRunner(agent)
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runner.run("First message")
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runner.run("Second message")
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# First turn behavior
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assert testing_utils.simplify_contents(mock_model.requests[0].contents) == [
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("user", "First message")
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]
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assert testing_utils.simplify_contents(mock_model.requests[1].contents) == [
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("user", "First message"),
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(
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"model",
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types.Part.from_function_call(
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name="simple_tool", args={"message": "first"}
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),
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),
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(
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"user",
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types.Part.from_function_response(
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name="simple_tool", response={"result": "Tool processed: first"}
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),
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),
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]
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# Second turn should only have current input, no history
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assert testing_utils.simplify_contents(mock_model.requests[2].contents) == [
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("user", "Second message")
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]
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# System instruction and tools should be preserved
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assert (
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"You are a helpful assistant"
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in mock_model.requests[0].config.system_instruction
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)
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assert len(mock_model.requests[0].config.tools) > 0
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@pytest.mark.asyncio
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async def test_include_contents_none_sequential_agents():
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"""Test include_contents='none' with sequential agents."""
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agent1_model = testing_utils.MockModel.create(
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responses=["Agent1 response: XYZ"]
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)
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agent1 = LlmAgent(
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name="agent1",
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model=agent1_model,
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instruction="You are Agent1",
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)
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agent2_model = testing_utils.MockModel.create(
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responses=["Agent2 final response"]
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)
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agent2 = LlmAgent(
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name="agent2",
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model=agent2_model,
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include_contents="none",
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instruction="You are Agent2",
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)
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sequential_agent = SequentialAgent(
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name="sequential_test_agent", sub_agents=[agent1, agent2]
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)
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runner = testing_utils.InMemoryRunner(sequential_agent)
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events = runner.run("Original user request")
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assert len(events) == 2
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assert events[0].author == "agent1"
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assert events[1].author == "agent2"
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# Agent1 sees original user request
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agent1_contents = testing_utils.simplify_contents(
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agent1_model.requests[0].contents
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)
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assert ("user", "Original user request") in agent1_contents
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# Agent2 with include_contents='none' should not see original request
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agent2_contents = testing_utils.simplify_contents(
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agent2_model.requests[0].contents
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)
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assert not any(
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"Original user request" in str(content) for _, content in agent2_contents
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)
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assert any(
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"Agent1 response" in str(content) for _, content in agent2_contents
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)
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