multi_agent_chat/middleware: tighten parallel-keying test with heterogeneous bundles and per-slice assertions

This commit is contained in:
CREDO23 2026-05-14 10:11:51 +02:00
parent d69d2cc1fc
commit a36b15b834

View file

@ -13,11 +13,17 @@ pregel vs. our subagent bridge).
This test reproduces the production failure with a real two-task parallel
``Send`` parent graph, exercises the full resume cycle, and asserts both
subagents complete cleanly.
subagents complete cleanly with their per-subagent slice intact.
Bundle sizes are chosen heterogeneous (``2`` and ``3``) so the assertions
also catch slicer arithmetic regressions (e.g., ``cursor += 1`` instead of
``cursor += action_count``). A symmetric ``(1, 1)`` configuration would
silently pass such a bug because the slices would coincide.
"""
from __future__ import annotations
import json
from typing import Annotated
import pytest
@ -53,19 +59,31 @@ class _DispatchState(TypedDict, total=False):
messages: Annotated[list, add_messages]
tcid: str
desc: str
subtype: str
def _build_pausing_subagent(checkpointer: InMemorySaver):
def _build_pausing_subagent(checkpointer: InMemorySaver, *, action_count: int):
"""Subagent that pauses with an ``action_count``-action HITL bundle.
On resume it captures the decision payload as a JSON-serialized
``AIMessage`` content so the test can inspect exactly which slice
reached this subagent the strongest assertion against slicer
routing regressions.
"""
def approve_node(_state):
decision = interrupt(
{
"action_requests": [
{"name": "do_thing", "args": {"x": 1}, "description": ""}
{"name": f"act_{i}", "args": {"i": i}, "description": ""}
for i in range(action_count)
],
"review_configs": [{}],
"review_configs": [{} for _ in range(action_count)],
}
)
return {"messages": [AIMessage(content=f"got:{decision}")]}
return {
"messages": [AIMessage(content=json.dumps(decision, sort_keys=True))]
}
g = StateGraph(_SubState)
g.add_node("approve", approve_node)
@ -79,8 +97,14 @@ def _parent_graph_dispatching_two_tasks_via_send(
):
def fanout_edge(_state) -> list[Send]:
return [
Send("call_task", {"tcid": tool_call_id_a, "desc": "approve A"}),
Send("call_task", {"tcid": tool_call_id_b, "desc": "approve B"}),
Send(
"call_task",
{"tcid": tool_call_id_a, "desc": "approve A", "subtype": "agent-a"},
),
Send(
"call_task",
{"tcid": tool_call_id_b, "desc": "approve B", "subtype": "agent-b"},
),
]
async def call_task(state: _DispatchState, config: RunnableConfig):
@ -93,7 +117,7 @@ def _parent_graph_dispatching_two_tasks_via_send(
store=None,
)
return await task_tool.coroutine(
description=state["desc"], subagent_type="approver", runtime=rt
description=state["desc"], subagent_type=state["subtype"], runtime=rt
)
g = StateGraph(_DispatchState)
@ -103,6 +127,22 @@ def _parent_graph_dispatching_two_tasks_via_send(
return g.compile(checkpointer=checkpointer)
def _build_two_subagents_task_tool(checkpointer: InMemorySaver):
"""Register two subagents under distinct names with heterogeneous bundle sizes.
Sub-A: 2-action bundle. Sub-B: 3-action bundle. Both ``> 1`` so the slice
arithmetic is sensitive to off-by-one mistakes.
"""
sub_a = _build_pausing_subagent(checkpointer, action_count=2)
sub_b = _build_pausing_subagent(checkpointer, action_count=3)
return build_task_tool_with_parent_config(
[
{"name": "agent-a", "description": "first", "runnable": sub_a},
{"name": "agent-b", "description": "second", "runnable": sub_b},
]
)
@pytest.mark.asyncio
async def test_parallel_resume_with_command_resume_scalar_raises_lg_runtime_error():
"""Confirm the production failure mode: scalar resume on multi-pending state explodes.
@ -112,10 +152,7 @@ async def test_parallel_resume_with_command_resume_scalar_raises_lg_runtime_erro
``stream_resume_chat``. Until then, the keyed form is mandatory.
"""
checkpointer = InMemorySaver()
subagent = _build_pausing_subagent(checkpointer)
task_tool = build_task_tool_with_parent_config(
[{"name": "approver", "description": "approves", "runnable": subagent}]
)
task_tool = _build_two_subagents_task_tool(checkpointer)
parent = _parent_graph_dispatching_two_tasks_via_send(
task_tool,
tool_call_id_a="parent-tcid-A",
@ -139,15 +176,17 @@ async def test_parallel_resume_with_per_interrupt_id_keying_completes_both_subag
Mirrors what ``stream_resume_chat`` does: collects pending interrupts,
slices the flat decisions list by ``tool_call_id``, builds the
``Interrupt.id``-keyed map for ``Command(resume=...)``, and resumes.
The expected post-condition is that both subagents pop their own
decision (via the ``surfsense_resume_value`` side-channel) and run to
completion no RuntimeError, no leaked pending interrupts.
Post-conditions checked:
1. The langgraph-keyed map has exactly one entry per pending interrupt
id (``str`` keys, count matches).
2. Both subagents complete with no leftover pending interrupts.
3. **Each subagent receives its exact slice in the original order**
this catches slicer arithmetic regressions (e.g., ``cursor += 1``)
that wouldn't surface by checking only "no leftover pending".
"""
checkpointer = InMemorySaver()
subagent = _build_pausing_subagent(checkpointer)
task_tool = build_task_tool_with_parent_config(
[{"name": "approver", "description": "approves", "runnable": subagent}]
)
task_tool = _build_two_subagents_task_tool(checkpointer)
tcid_a = "parent-tcid-A"
tcid_b = "parent-tcid-B"
parent = _parent_graph_dispatching_two_tasks_via_send(
@ -166,7 +205,20 @@ async def test_parallel_resume_with_per_interrupt_id_keying_completes_both_subag
assert len(paused_state.interrupts) == 2, "fixture broken: expected 2 paused subagents"
pending = collect_pending_tool_calls(paused_state)
flat_decisions = [{"type": "approve"}, {"type": "approve"}]
assert dict(pending) == {tcid_a: 2, tcid_b: 3}, (
f"fixture broken: heterogeneous bundle sizes not detected; got {pending!r}"
)
a_d0 = {"type": "approve"}
a_d1 = {"type": "reject", "message": "A[1] is redundant"}
b_d0 = {
"type": "edit",
"edited_action": {"name": "act_0", "args": {"i": 0, "edited": True}},
}
b_d1 = {"type": "approve"}
b_d2 = {"type": "reject", "message": "B[2] needs more context"}
flat_decisions = [a_d0, a_d1, b_d0, b_d1, b_d2]
by_tool_call_id = slice_decisions_by_tool_call(flat_decisions, pending)
lg_resume_map = build_lg_resume_map(paused_state, by_tool_call_id)
@ -177,7 +229,6 @@ async def test_parallel_resume_with_per_interrupt_id_keying_completes_both_subag
f"keys must be Interrupt.id strings, got {[type(k).__name__ for k in lg_resume_map]}"
)
# Wire the side-channel exactly like ``stream_resume_chat`` does.
config["configurable"]["surfsense_resume_value"] = by_tool_call_id
await parent.ainvoke(Command(resume=lg_resume_map), config)
@ -188,6 +239,26 @@ async def test_parallel_resume_with_per_interrupt_id_keying_completes_both_subag
f"{final_state.interrupts!r}"
)
payloads: list[dict] = []
for msg in final_state.values.get("messages", []) or []:
content = getattr(msg, "content", None)
if isinstance(content, str):
try:
payloads.append(json.loads(content))
except json.JSONDecodeError:
pass
expected_a = {"decisions": [a_d0, a_d1]}
expected_b = {"decisions": [b_d0, b_d1, b_d2]}
assert expected_a in payloads, (
f"REGRESSION: sub-A did not receive its 2-decision slice in order; "
f"payloads seen: {payloads!r}"
)
assert expected_b in payloads, (
f"REGRESSION: sub-B did not receive its 3-decision slice in order; "
f"payloads seen: {payloads!r}"
)
def test_build_lg_resume_map_returns_empty_when_no_interrupts_carry_stamps():
"""Unstamped interrupts can't be routed; we don't fabricate keys for them.