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chore: import upstream snapshot with attribution
2026-07-13 13:25:13 +08:00

318 lines
9.4 KiB
Python

# 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 edge cases of resuming invocations."""
import copy
from google.adk.agents.llm_agent import LlmAgent
from google.adk.apps.app import App
from google.adk.apps.app import ResumabilityConfig
from google.adk.tools.long_running_tool import LongRunningFunctionTool
from google.genai.types import FunctionResponse
from google.genai.types import Part
import pytest
from .. import testing_utils
def transfer_call_part(agent_name: str) -> Part:
return Part.from_function_call(
name="transfer_to_agent", args={"agent_name": agent_name}
)
TRANSFER_RESPONSE_PART = Part.from_function_response(
name="transfer_to_agent", response={"result": None}
)
def test_tool():
"""A test tool; returns None to simulate a pending long-running operation."""
return None
@pytest.mark.xfail(
reason=(
"Tests implementation details that are different in V2 and will be"
" deprecated."
)
)
@pytest.mark.asyncio
async def test_resume_invocation_from_sub_agent():
"""A test case for an edge case, where an invocation-to-resume starts from a sub-agent.
For example:
invocation1: root_agent -> sub_agent (sub_agent completes normally)
invocation2: sub_agent calls long_running_tool -> pauses
resume invocation2: sub_agent gets function response -> responds
"""
# Step 1: Setup
long_running_test_tool = LongRunningFunctionTool(func=test_tool)
sub_agent = LlmAgent(
name="sub_agent",
model=testing_utils.MockModel.create(
responses=[
"first response from sub_agent",
Part.from_function_call(name="test_tool", args={}),
"response from sub_agent after resume",
]
),
tools=[long_running_test_tool],
)
root_agent = LlmAgent(
name="root_agent",
model=testing_utils.MockModel.create(
responses=[transfer_call_part(sub_agent.name)]
),
sub_agents=[sub_agent],
)
runner = testing_utils.InMemoryRunner(
app=App(
name="test_app",
root_agent=root_agent,
resumability_config=ResumabilityConfig(is_resumable=True),
)
)
# Step 2: Run the first invocation
# root_agent transfers to sub_agent, sub_agent responds normally.
invocation_1_events = await runner.run_async("test user query")
inv1_behavioral = [
e
for e in testing_utils.simplify_resumable_app_events(
copy.deepcopy(invocation_1_events)
)
if not isinstance(e[1], dict)
]
assert inv1_behavioral == [
(
root_agent.name,
transfer_call_part(sub_agent.name),
),
(
root_agent.name,
TRANSFER_RESPONSE_PART,
),
(
root_agent.name,
testing_utils.END_OF_AGENT,
),
(
sub_agent.name,
"first response from sub_agent",
),
(
sub_agent.name,
testing_utils.END_OF_AGENT,
),
]
# Step 3: Run the second invocation
# sub_agent is now active. It calls long_running_tool, which pauses.
invocation_2_events = await runner.run_async("test user query 2")
inv2_behavioral = [
e
for e in testing_utils.simplify_resumable_app_events(
copy.deepcopy(invocation_2_events)
)
if not isinstance(e[1], dict)
]
assert inv2_behavioral == [
# execute_tools yields the interrupt event with long_running_tool_ids.
(
sub_agent.name,
Part.from_function_call(name="test_tool", args={}),
),
]
# Find the function_call_id for resume.
invocation_2_function_call_id = None
for ev in invocation_2_events:
if (
ev.content
and ev.content.parts
and ev.content.parts[0].function_call
and ev.content.parts[0].function_call.name == "test_tool"
):
invocation_2_function_call_id = ev.content.parts[0].function_call.id
break
assert invocation_2_function_call_id is not None
# Step 4: Resume the second invocation with function response.
resumed_invocation_2_events = await runner.run_async(
invocation_id=invocation_2_events[0].invocation_id,
new_message=testing_utils.UserContent(
Part(
function_response=FunctionResponse(
id=invocation_2_function_call_id,
name="test_tool",
response={"result": "test tool update"},
)
),
),
)
resumed_inv2_behavioral = [
e
for e in testing_utils.simplify_resumable_app_events(
copy.deepcopy(resumed_invocation_2_events)
)
if not isinstance(e[1], dict)
]
assert resumed_inv2_behavioral == [
# execute_tools yields the function response from resume.
(
sub_agent.name,
Part.from_function_response(
name="test_tool",
response={"result": "test tool update"},
),
),
(
sub_agent.name,
"response from sub_agent after resume",
),
(sub_agent.name, testing_utils.END_OF_AGENT),
]
@pytest.mark.skip(
reason=(
"Cross-invocation resume (resuming a non-latest invocation) is not"
" supported by the Mesh-based LlmAgent. The Mesh's output aggregation"
" in node_output_utils.py collects events from multiple invocations,"
" causing CallLlmResult to be wrapped in a list."
)
)
@pytest.mark.asyncio
async def test_resume_any_invocation():
"""A test case for resuming a previous invocation instead of the last one."""
# Step 1: Setup
long_running_test_tool = LongRunningFunctionTool(
func=test_tool,
)
root_agent = LlmAgent(
name="root_agent",
model=testing_utils.MockModel.create(
responses=[
Part.from_function_call(name="test_tool", args={}),
"llm response in invocation 2",
Part.from_function_call(name="test_tool", args={}),
"llm response after resuming invocation 1",
]
),
tools=[long_running_test_tool],
)
runner = testing_utils.InMemoryRunner(
app=App(
name="test_app",
root_agent=root_agent,
resumability_config=ResumabilityConfig(is_resumable=True),
)
)
# Step 2: Run the first invocation, which pauses on the long running function.
invocation_1_events = await runner.run_async("test user query")
inv1_behavioral = [
e
for e in testing_utils.simplify_resumable_app_events(
copy.deepcopy(invocation_1_events)
)
if not isinstance(e[1], dict)
]
assert inv1_behavioral == [
(
root_agent.name,
Part.from_function_call(name="test_tool", args={}),
),
]
# Find the function_call_id for resume.
invocation_1_function_call_id = None
for ev in invocation_1_events:
if (
ev.content
and ev.content.parts
and ev.content.parts[0].function_call
and ev.content.parts[0].function_call.name == "test_tool"
):
invocation_1_function_call_id = ev.content.parts[0].function_call.id
break
assert invocation_1_function_call_id is not None
# Step 3: Run the second invocation, expect it to finish normally.
invocation_2_events = await runner.run_async(
"test user query 2",
)
inv2_behavioral = [
e
for e in testing_utils.simplify_resumable_app_events(
copy.deepcopy(invocation_2_events)
)
if not isinstance(e[1], dict)
]
assert inv2_behavioral == [
(
root_agent.name,
"llm response in invocation 2",
),
(root_agent.name, testing_utils.END_OF_AGENT),
]
# Step 4: Run the third invocation, which also pauses on the long running
# function.
invocation_3_events = await runner.run_async(
"test user query 3",
)
inv3_behavioral = [
e
for e in testing_utils.simplify_resumable_app_events(
copy.deepcopy(invocation_3_events)
)
if not isinstance(e[1], dict)
]
assert inv3_behavioral == [
(
root_agent.name,
Part.from_function_call(name="test_tool", args={}),
),
]
# Step 5: Resume the first invocation with long running function response.
resumed_invocation_1_events = await runner.run_async(
invocation_id=invocation_1_events[0].invocation_id,
new_message=testing_utils.UserContent(
Part(
function_response=FunctionResponse(
id=invocation_1_function_call_id,
name="test_tool",
response={"result": "test tool update"},
)
),
),
)
resumed_inv1_behavioral = [
e
for e in testing_utils.simplify_resumable_app_events(
copy.deepcopy(resumed_invocation_1_events)
)
if not isinstance(e[1], dict)
]
assert resumed_inv1_behavioral == [
(
root_agent.name,
"llm response after resuming invocation 1",
),
(root_agent.name, testing_utils.END_OF_AGENT),
]