# 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), ]