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