fix(multi-agent-collaboration): compose TaskRunner bookkeeping instead of forking it

CollaborativeTaskRunner hand-rolled its own step loop instead of
composing runtime/task.py's TaskRunner as design.md D3 requires,
silently dropping Timeline recording, WorldModel wiring,
TaskMetadataStore sync, and the on_task_succeeded/skill-synthesis
hook. Now calls TaskRunner's shared _start_world_view/
_record_step_result helpers for that bookkeeping. Also fixes
pre_observation being reused stale across steps in a multi-step plan
instead of refreshing to the prior step's post-observation.

openspec: multi-agent-collaboration capability, archived change multi-agent-runtime
This commit is contained in:
2026-07-07 08:30:57 +08:00
parent 49ad589c2d
commit 031b929067
2 changed files with 176 additions and 30 deletions
+48 -30
View File
@@ -8,12 +8,13 @@ from agents.models import Observation, VerificationVerdict
from agents.observer import Observer
from agents.reflector import Reflector
from agents.verifier import Verifier
from core.models import Scene, Task, utc_now
from core.models import Scene, Task
from runtime.context import TaskContext
from runtime.executor import Executor
from runtime.planner import PlannedStep, Planner
from runtime.task import TaskRunner, TaskRunnerConfig
from semantic.llm_client import AnthropicSemanticClient
from world.model import TaskWorldView
logger = logging.getLogger(__name__)
@@ -40,12 +41,19 @@ class CollaborativeTaskRunner:
) -> None:
self.planner = planner or Planner()
self.executor = executor or Executor()
self.task_runner = task_runner
self.observer = observer or Observer()
self.verifier = verifier or Verifier(client=llm_client)
self.reflector = reflector or Reflector(client=llm_client)
self.config = config or CollaborativeTaskRunnerConfig()
self.collaboration_config = collaboration_config or load_config()
# Shared with `_run_plain`: also holds the Timeline/TaskMetadataStore/
# WorldModel/on_task_succeeded wiring that `_run_collaborative` reuses
# for its own per-step bookkeeping, so the two paths cannot drift apart.
self.task_runner = task_runner or TaskRunner(
planner=self.planner,
executor=self.executor,
config=TaskRunnerConfig(max_steps=self.config.max_steps),
)
def run(self, task: Task) -> Task:
if not self.collaboration_config.enabled:
@@ -53,17 +61,14 @@ class CollaborativeTaskRunner:
return self._run_collaborative(task)
def _run_plain(self, task: Task) -> Task:
runner = self.task_runner or TaskRunner(
planner=self.planner,
executor=self.executor,
config=TaskRunnerConfig(max_steps=self.config.max_steps),
)
return runner.run(task)
return self.task_runner.run(task)
def _run_collaborative(self, task: Task) -> Task:
context = TaskContext(task_id=task.id, goal=task.goal)
task.status = "running" # type: ignore[assignment]
task.updated_at = utc_now()
world_handle: TaskWorldView | None = self.task_runner._start_world_view(task.id)
if world_handle is not None:
context.world = world_handle.state
self.task_runner._update_task(task, status="running")
recovery_attempts = 0
for _ in range(self.config.max_steps):
@@ -85,15 +90,15 @@ class CollaborativeTaskRunner:
scene=scene,
context=context,
):
task.status = "completed" # type: ignore[assignment]
task.updated_at = utc_now()
task.completed_at = utc_now()
return task
return self.task_runner._complete_task(task)
for step in steps:
executable_step = self._step_for_device(step, task.device_id)
result = self.executor.execute(executable_step, context=context)
context.add_step_result(result)
self.task_runner._record_step_result(
world_handle, context, task, scene, step, result
)
post_scene = self._observe_scene(task.device_id)
post_observation = self.observer.observe(
@@ -108,18 +113,21 @@ class CollaborativeTaskRunner:
step_result=result,
)
# Refresh pre_observation for the *next* step in this plan (or
# the next outer-loop iteration) so it always reflects the
# most recent known device state, never the stale
# pre-whole-plan observation.
pre_observation = post_observation
if verdict.result == "achieved":
continue
if recovery_attempts >= self.collaboration_config.max_recovery_attempts:
task.status = "failed" # type: ignore[assignment]
task.updated_at = utc_now()
task.completed_at = utc_now()
task.failure_reason = (
return self._fail(
task,
f"Reflection recovery ceiling reached "
f"({self.collaboration_config.max_recovery_attempts} attempts)"
f"({self.collaboration_config.max_recovery_attempts} attempts)",
)
return task
outcome = self.reflector.reflect(
observation=post_observation,
@@ -143,19 +151,29 @@ class CollaborativeTaskRunner:
context=context,
)
context.add_step_result(recovery_result)
self.task_runner._record_step_result(
world_handle, context, task, post_scene, recovery_step, recovery_result
)
if not recovery_result.success:
task.status = "failed" # type: ignore[assignment]
task.updated_at = utc_now()
task.completed_at = utc_now()
task.failure_reason = (
f"Recovery action failed: {recovery_result.error}"
return self._fail(
task, f"Recovery action failed: {recovery_result.error}"
)
return task
task.status = "failed" # type: ignore[assignment]
task.updated_at = utc_now()
task.completed_at = utc_now()
task.failure_reason = f"max steps exceeded: {self.config.max_steps}"
recovery_scene = self._observe_scene(task.device_id)
pre_observation = self.observer.observe(
scene=recovery_scene,
world=context.world,
)
return self._fail(task, f"max steps exceeded: {self.config.max_steps}")
def _fail(self, task: Task, reason: str) -> Task:
self.task_runner._update_task(
task,
status="failed",
completed=True,
failure_reason=reason,
)
return task
def _observe_scene(self, device_id: str) -> Scene:
+128
View File
@@ -9,6 +9,11 @@ from agents.models import Observation, ReflectionAction, ReflectionOutcome, Veri
from core.models import Bounds, Scene, SceneElement, Task
from runtime.executor import StepResult
from runtime.planner import PlannedStep
from runtime.task import TaskRunner, TaskRunnerConfig
from storage.artifact_store import ArtifactStore
from storage.task_metadata import TaskMetadataStore
from storage.timeline import Timeline
from world.config import WorldConfig
def _scene() -> Scene:
@@ -169,6 +174,129 @@ def test_exhausts_recovery_ceiling() -> None:
assert "ceiling" in (task.failure_reason or "").lower()
def test_collaborative_run_shares_bookkeeping_with_task_runner(tmp_path) -> None:
"""A completed collaborative task records Timeline/TaskMetadataStore/
on_task_succeeded exactly like a plain TaskRunner.run() would for the
same scripted single-step scenario, and populates context.world along
the way (verified indirectly via what the Observer is called with)."""
planner = MagicMock()
planner.plan.return_value = [_planned_step()]
planner.goal_reached.side_effect = [False, True]
executor = MagicMock()
executor.execute.return_value = _success_step_result()
observer = MagicMock()
observer.observe.return_value = _observation()
verifier = MagicMock()
verifier.verify.return_value = _achieved_verdict()
reflector = MagicMock()
metadata = TaskMetadataStore(tmp_path / "tasks.sqlite3")
timeline = Timeline(ArtifactStore(tmp_path / "history"))
on_task_succeeded = MagicMock()
shared_task_runner = TaskRunner(
metadata_store=metadata,
timeline=timeline,
on_task_succeeded=on_task_succeeded,
world_config=WorldConfig(enabled=True),
config=TaskRunnerConfig(max_steps=5),
)
runner = CollaborativeTaskRunner(
planner=planner,
executor=executor,
observer=observer,
verifier=verifier,
reflector=reflector,
task_runner=shared_task_runner,
config=CollaborativeTaskRunnerConfig(max_steps=5),
collaboration_config=CollaborationConfig(enabled=True, max_recovery_attempts=3),
)
task = _task()
metadata.create_task(task)
with patch("tools.describe_screen.describe_screen", return_value=_scene()):
result = runner.run(task)
assert result.status == "completed"
assert len(timeline.read(task.id)) == 1
assert metadata.get_task(task.id)["status"] == "completed"
on_task_succeeded.assert_called_once_with(task.id, task.goal, timeline)
# context.world was populated (not None) throughout the run: every
# Observer.observe call received a non-None `world` kwarg.
assert observer.observe.call_args_list
for call in observer.observe.call_args_list:
assert call.kwargs["world"] is not None
def test_second_step_verified_against_post_step_one_observation() -> None:
"""When a single Planner.plan() call returns a 2-element plan, the
second step's Verifier.verify() call uses the first step's post
observation as its pre_observation, not the stale pre-plan observation."""
step_one = _planned_step()
step_two = PlannedStep(action="tap", description="tap next", args={"x": 1, "y": 2})
planner = MagicMock()
planner.plan.return_value = [step_one, step_two]
planner.goal_reached.side_effect = [False, True]
executor = MagicMock()
executor.execute.return_value = _success_step_result()
obs_pre_plan = Observation(scene_summary="obs0-pre-plan")
obs_after_step_one = Observation(scene_summary="obs1-after-step-one")
obs_after_step_two = Observation(scene_summary="obs2-after-step-two")
obs_next_outer_iter = Observation(scene_summary="obs3-next-outer-iter")
observer = MagicMock()
observer.observe.side_effect = [
obs_pre_plan,
obs_after_step_one,
obs_after_step_two,
obs_next_outer_iter,
]
verifier = MagicMock()
verifier.verify.return_value = _achieved_verdict()
reflector = MagicMock()
runner = CollaborativeTaskRunner(
planner=planner,
executor=executor,
observer=observer,
verifier=verifier,
reflector=reflector,
config=CollaborativeTaskRunnerConfig(max_steps=5),
collaboration_config=CollaborationConfig(enabled=True, max_recovery_attempts=3),
)
with patch("tools.describe_screen.describe_screen", return_value=_scene()):
task = runner.run(_task())
assert task.status == "completed"
reflector.reflect.assert_not_called()
assert verifier.verify.call_count == 2
first_call_kwargs = verifier.verify.call_args_list[0].kwargs
second_call_kwargs = verifier.verify.call_args_list[1].kwargs
assert first_call_kwargs["pre_observation"] is obs_pre_plan
assert first_call_kwargs["post_observation"] is obs_after_step_one
# The bug being guarded against: the second step must not be verified
# against the stale pre-whole-plan observation.
assert second_call_kwargs["pre_observation"] is obs_after_step_one
assert second_call_kwargs["pre_observation"] is not obs_pre_plan
assert second_call_kwargs["post_observation"] is obs_after_step_two
def test_disabled_collaboration_runs_plain() -> None:
"""When collaboration is disabled, delegates to plain TaskRunner."""
planner = MagicMock()