fix: pre-v1-style lifecycle resilience — mailbox delivery, uniform revival, unexitable runner, waiting timeout, broader retries, crash-safe identity (#923)

This commit is contained in:
devin-ai-integration[bot]
2026-08-01 11:17:08 -07:00
committed by GitHub
parent a9deb84260
commit 5602bc23ca
8 changed files with 413 additions and 145 deletions
+65 -31
View File
@@ -32,6 +32,8 @@ class AgentRuntime:
stream: Any | None = None
interrupt_on_message: bool = False
wake: asyncio.Event = field(default_factory=asyncio.Event)
mailbox: list[dict[str, Any]] = field(default_factory=list)
user_wake_required: bool = False
class AgentCoordinator:
@@ -179,6 +181,7 @@ class AgentCoordinator:
if agent_id in self.statuses:
self.statuses[agent_id] = "running"
self.errors.pop(agent_id, None)
self.runtimes.setdefault(agent_id, AgentRuntime()).user_wake_required = False
await self._maybe_snapshot()
async def park_waiting(self, agent_id: str) -> None:
@@ -196,6 +199,7 @@ class AgentCoordinator:
elif status == "running":
self.errors.pop(agent_id, None)
runtime = self.runtimes.setdefault(agent_id, AgentRuntime())
runtime.user_wake_required = status in {"failed", "crashed"}
runtime.wake.set()
logger.info("agent.status %s=%s", agent_id, status)
await self._maybe_snapshot()
@@ -203,49 +207,47 @@ class AgentCoordinator:
async def send(
self, target_agent_id: str, message: dict[str, Any], *, interrupt: bool = True
) -> bool:
"""Deliver a user/peer message by appending it to the target SDK session."""
if message.get("from") == "user" and self._budget_paused:
"""Queue a user/peer message in the target's mailbox and wake it."""
from_user = message.get("from") == "user"
if from_user and self._budget_paused:
await self.resume_from_budget_pause(exclude=target_agent_id)
async with self._lock:
if target_agent_id not in self.statuses:
logger.debug("agent.send dropped unknown target=%s", target_agent_id)
return False
runtime = self.runtimes.setdefault(target_agent_id, AgentRuntime())
session = runtime.session
runtime.mailbox.append(dict(message))
self.pending_counts[target_agent_id] = self.pending_counts.get(target_agent_id, 0) + 1
if from_user:
runtime.user_wake_required = False
runtime.wake.set()
stream = runtime.stream
interrupt_on_message = runtime.interrupt_on_message
if session is None:
logger.warning(
"agent.send dropped target=%s because its SDK session is not attached",
target_agent_id,
)
return False
try:
async with session_write_lock(session):
await session.add_items([self._message_to_session_item(message)])
except Exception:
logger.exception(
"agent.send failed to append to SDK session target=%s",
target_agent_id,
)
return False
async with self._lock:
self.pending_counts[target_agent_id] = self.pending_counts.get(target_agent_id, 0) + 1
self.runtimes.setdefault(target_agent_id, AgentRuntime()).wake.set()
if stream is not None and interrupt and interrupt_on_message:
stream.cancel(mode="immediate")
await self._maybe_snapshot()
return True
async def wait_for_message(self, agent_id: str) -> None:
async def wait_for_message(self, agent_id: str, *, timeout: float | None = None) -> bool:
"""Wait until a message is ready for ``agent_id``; False on ``timeout``."""
while True:
async with self._lock:
runtime = self.runtimes.setdefault(agent_id, AgentRuntime())
reserve_exit = self._reserve_stopped and self.parent_of.get(agent_id) is not None
if self._budget_stopped or reserve_exit or self.pending_counts.get(agent_id, 0) > 0:
return
wake = self.runtimes.setdefault(agent_id, AgentRuntime()).wake
pending_ready = (
self.pending_counts.get(agent_id, 0) > 0 and not runtime.user_wake_required
)
if self._budget_stopped or reserve_exit or pending_ready:
return True
wake = runtime.wake
wake.clear()
await wake.wait()
if timeout is None:
await wake.wait()
else:
try:
await asyncio.wait_for(wake.wait(), timeout)
except TimeoutError:
return False
async def consume_pending(
self,
@@ -253,17 +255,38 @@ class AgentCoordinator:
*,
include_items: bool = False,
) -> tuple[int, list[Any]]:
"""Drain the agent's mailbox into its own SDK session."""
async with self._lock:
count = self.pending_counts.get(agent_id, 0)
runtime = self.runtimes.setdefault(agent_id, AgentRuntime())
queued = list(runtime.mailbox)
runtime.mailbox.clear()
count = max(self.pending_counts.get(agent_id, 0), len(queued))
self.pending_counts[agent_id] = 0
session = self.runtimes.get(agent_id, AgentRuntime()).session
session = runtime.session
if count <= 0:
return 0, []
items = [self._message_to_session_item(m) for m in queued]
if items:
if session is None:
logger.warning(
"agent %s has no SDK session attached; %d queued messages were not persisted",
agent_id,
len(items),
)
else:
try:
async with session_write_lock(session):
await session.add_items(items)
except Exception:
logger.exception(
"failed to append %d queued messages to the session of %s",
len(items),
agent_id,
)
await self._maybe_snapshot()
if not include_items or session is None:
if not include_items:
return count, []
items = await session.get_items()
return count, list(items[-count:])
return count, items
async def request_stop(self, agent_id: str) -> None:
async with self._lock:
@@ -374,6 +397,11 @@ class AgentCoordinator:
"names": dict(self.names),
"metadata": {aid: dict(md) for aid, md in self.metadata.items()},
"pending_counts": dict(self.pending_counts),
"mailboxes": {
aid: [dict(m) for m in runtime.mailbox]
for aid, runtime in self.runtimes.items()
if runtime.mailbox
},
"errors": dict(self.errors),
"budget_stopped": self._budget_stopped,
"reserve_stopped": self._reserve_stopped,
@@ -388,6 +416,12 @@ class AgentCoordinator:
self.metadata = {aid: dict(md) for aid, md in snap.get("metadata", {}).items()}
self.pending_counts = dict(snap.get("pending_counts", {}))
self.errors = dict(snap.get("errors", {}))
mailboxes = snap.get("mailboxes", {})
if isinstance(mailboxes, dict):
for aid, msgs in mailboxes.items():
if isinstance(msgs, list):
runtime = self.runtimes.setdefault(aid, AgentRuntime())
runtime.mailbox = [dict(m) for m in msgs if isinstance(m, dict)]
self._budget_stopped = bool(snap.get("budget_stopped", False))
self._reserve_stopped = bool(snap.get("reserve_stopped", False))
self._budget_paused = bool(snap.get("budget_paused", False))
+135 -48
View File
@@ -9,6 +9,7 @@ import uuid
from collections.abc import Callable
from typing import TYPE_CHECKING, Any, cast
import litellm
from agents import RunConfig, Runner
from agents.exceptions import AgentsException, MaxTurnsExceeded, UserError
from agents.sandbox.errors import ExecTransportError
@@ -16,9 +17,7 @@ from docker import errors as docker_errors # type: ignore[import-untyped, unuse
from openai import (
APIConnectionError,
APIError,
APIStatusError,
APITimeoutError,
RateLimitError,
)
from strix.config import codex
@@ -31,6 +30,8 @@ from strix.core.inputs import child_initial_input
from strix.core.sessions import (
enforce_image_budget,
open_agent_session,
replace_session_items,
seed_initial_input,
strip_all_images_from_session,
)
from strix.llm.compaction import is_context_overflow, maybe_compact
@@ -106,15 +107,9 @@ async def _compact_session(
)
_GUARDRAIL_PARK_ERROR = (
"Blocked by the model's content guardrail (flagged as a possible cybersecurity risk). "
"Set STRIX_LLM to a model that isn't blocked and resume the scan to continue."
)
_TRANSIENT_MODEL_STATUS_CODES = frozenset({408, 500, 502, 503, 504})
_MAX_TRANSIENT_MODEL_RETRIES = 4
_MAX_TRANSIENT_MODEL_RETRIES = 5
_TRANSIENT_MODEL_RETRY_BASE_DELAY_S = 2.0
_TRANSIENT_MODEL_RETRY_MAX_DELAY_S = 30.0
_TRANSIENT_MODEL_RETRY_MAX_DELAY_S = 90.0
def _model_error_status_code(exc: BaseException) -> int | None:
@@ -123,15 +118,16 @@ def _model_error_status_code(exc: BaseException) -> int | None:
def _is_transient_model_error(exc: BaseException) -> bool:
if isinstance(exc, RateLimitError):
if codex.is_content_guardrail_error(exc):
return False
if isinstance(exc, APITimeoutError | APIConnectionError):
if isinstance(
exc, APITimeoutError | APIConnectionError | TimeoutError | ConnectionError | OSError
):
return True
if isinstance(exc, APIStatusError):
return exc.status_code in _TRANSIENT_MODEL_STATUS_CODES
if isinstance(exc, APIError):
return _model_error_status_code(exc) is None
return False
code = _model_error_status_code(exc)
if code is not None:
return bool(litellm._should_retry(code))
return isinstance(exc, APIError)
def _transient_model_retry_delay(attempt: int) -> float:
@@ -139,6 +135,40 @@ def _transient_model_retry_delay(attempt: int) -> float:
return min(delay, _TRANSIENT_MODEL_RETRY_MAX_DELAY_S)
async def _salvage_stream_to_session(
session: Session,
pre_run_items: list[Any],
stream: Any,
agent_id: str,
) -> None:
"""Persist a crashed run's full history so a revived agent loses no context."""
if stream is None:
return
try:
replay = list(stream.to_input_list())
except Exception:
logger.exception("could not build salvage history for %s", agent_id)
return
desired = list(pre_run_items) + replay
if len(desired) <= len(pre_run_items):
return
try:
await replace_session_items(session, desired)
except Exception:
logger.exception("salvaging crashed run history failed for %s", agent_id)
async def _seed_and_prepare_first_input(
session: Session | None, initial_input: Any, *, start_parked: bool
) -> Any:
"""Persist the opening input up front so it survives a first-turn crash."""
if initial_input and session is not None and not start_parked:
with contextlib.suppress(Exception):
if await seed_initial_input(session, initial_input):
return []
return initial_input
async def run_agent_loop(
*,
agent: Any,
@@ -161,6 +191,10 @@ async def run_agent_loop(
)
result: RunResultBase | None = None
first_cycle_input = await _seed_and_prepare_first_input(
session, initial_input, start_parked=start_parked
)
budget_stopped = coordinator.budget_stopped
reserve_stopped = coordinator.reserve_stopped
if budget_stopped:
@@ -176,16 +210,15 @@ async def run_agent_loop(
if not (start_parked and interactive):
if interactive:
with contextlib.suppress(BudgetPausedError):
result = await _run_cycle(
result = await _run_cycle_parked(
agent,
coordinator,
agent_id,
input_data=initial_input,
input_data=first_cycle_input,
run_config=run_config,
context=context,
max_turns=max_turns,
session=session,
interactive=interactive,
event_sink=event_sink,
hooks=hooks,
)
@@ -194,7 +227,7 @@ async def run_agent_loop(
agent,
coordinator,
agent_id,
initial_input=initial_input,
initial_input=first_cycle_input,
run_config=run_config,
context=context,
max_turns=max_turns,
@@ -207,8 +240,9 @@ async def run_agent_loop(
return result
while True:
timeout = await _plain_waiting_timeout(coordinator, agent_id, context)
try:
await coordinator.wait_for_message(agent_id)
woke = await coordinator.wait_for_message(agent_id, timeout=timeout)
except asyncio.CancelledError:
return result
@@ -220,9 +254,21 @@ async def run_agent_loop(
await coordinator.set_status(agent_id, "stopped")
raise SubagentBudgetReservedError("scan reached the sub-agent budget reserve")
if not woke:
logger.info("agent %s reached its waiting timeout; auto-resuming", agent_id)
await coordinator.send(
agent_id,
{
"from": "system",
"type": "auto_resume",
"content": "Waiting timeout reached. Resuming execution.",
},
interrupt=False,
)
await coordinator.consume_pending(agent_id)
with contextlib.suppress(BudgetPausedError):
result = await _run_cycle(
result = await _run_cycle_parked(
agent,
coordinator,
agent_id,
@@ -231,7 +277,6 @@ async def run_agent_loop(
context=context,
max_turns=max_turns,
session=session,
interactive=interactive,
event_sink=event_sink,
hooks=hooks,
)
@@ -327,7 +372,6 @@ async def respawn_subagents(
if coordinator.parent_of.get(aid) is None or aid == root_id:
continue
md["_restored_status"] = status
md["_restored_error"] = coordinator.errors.get(aid)
candidates.append(
(
aid,
@@ -340,8 +384,7 @@ async def respawn_subagents(
for child_id, name, parent_id, md in candidates:
try:
restored_status = str(md.get("_restored_status") or "running")
recoverable_park = restored_status == "waiting" and bool(md.get("_restored_error"))
start_parked = interactive and restored_status != "running" and not recoverable_park
start_parked = interactive and restored_status != "running"
if start_parked:
logger.warning(
@@ -456,6 +499,64 @@ async def _run_noninteractive_until_lifecycle(
)
_WAITING_AUTO_RESUME_TIMEOUT_S = 600.0
async def _plain_waiting_timeout(
coordinator: AgentCoordinator,
agent_id: str,
context: dict[str, Any],
) -> float | None:
"""Auto-resume timeout for a plainly-waiting subagent; None waits forever."""
if context.get("parent_id") is None:
return None
async with coordinator._lock:
status = coordinator.statuses.get(agent_id)
has_error = agent_id in coordinator.errors
runtime = coordinator.runtimes.get(agent_id)
gated = runtime.user_wake_required if runtime is not None else False
if status == "waiting" and not has_error and not gated:
return _WAITING_AUTO_RESUME_TIMEOUT_S
return None
async def _run_cycle_parked(
agent: Any,
coordinator: AgentCoordinator,
agent_id: str,
*,
input_data: Any,
run_config: RunConfig,
context: dict[str, Any],
max_turns: int,
session: Session | None,
event_sink: StreamEventSink | None,
hooks: RunHooks[dict[str, Any]] | None,
) -> RunResultBase | None:
"""Interactive run cycle that parks on any error instead of killing the runner."""
try:
return await _run_cycle(
agent,
coordinator,
agent_id,
input_data=input_data,
run_config=run_config,
context=context,
max_turns=max_turns,
session=session,
interactive=True,
event_sink=event_sink,
hooks=hooks,
)
except (BudgetExceededError, BudgetPausedError, SubagentBudgetReservedError):
raise
except Exception as exc:
logger.exception("error escaped the run cycle for %s; parking as failed", agent_id)
await coordinator.set_status(agent_id, "failed", error=str(exc) or type(exc).__name__)
await _notify_parent_on_terminal(coordinator, agent_id, "failed")
return None
async def _run_cycle( # noqa: PLR0912, PLR0915
agent: Any,
coordinator: AgentCoordinator,
@@ -474,6 +575,8 @@ async def _run_cycle( # noqa: PLR0912, PLR0915
compactions = 0
model_retries = 0
while True:
stream: Any = None
pre_run_items: list[Any] = []
try:
await coordinator.mark_running(agent_id)
if session is not None:
@@ -487,6 +590,8 @@ async def _run_cycle( # noqa: PLR0912, PLR0915
await _compact_session(agent, session, run_config, force=False)
except Exception:
logger.exception("proactive compaction failed for %s", agent_id)
with contextlib.suppress(Exception):
pre_run_items = list(await session.get_items())
stream = Runner.run_streamed(
agent,
input=input_data,
@@ -599,10 +704,8 @@ async def _run_cycle( # noqa: PLR0912, PLR0915
if session is not None:
input_data = []
continue
if codex.is_content_guardrail_error(exc):
return await _handle_content_guardrail(
coordinator, agent_id, exc, interactive=interactive
)
if session is not None:
await _salvage_stream_to_session(session, pre_run_items, stream, agent_id)
if isinstance(exc, ProviderRefusalError):
logger.warning("agent %s refused by the model provider: %s", agent_id, exc)
await coordinator.set_status(agent_id, "failed", error=str(exc))
@@ -622,23 +725,7 @@ async def _run_cycle( # noqa: PLR0912, PLR0915
return None
else:
await _settle_run_result(coordinator, agent_id, interactive)
return stream
async def _handle_content_guardrail(
coordinator: AgentCoordinator,
agent_id: str,
exc: BaseException,
*,
interactive: bool,
) -> RunResultBase | None:
logger.warning("agent %s blocked by the model's content guardrail: %s", agent_id, exc)
if interactive:
await coordinator.set_status(agent_id, "waiting", error=_GUARDRAIL_PARK_ERROR)
return None
await coordinator.set_status(agent_id, "failed", error=_GUARDRAIL_PARK_ERROR)
await _notify_parent_on_terminal(coordinator, agent_id, "failed")
return None
return cast("RunResultBase | None", stream)
async def _settle_run_result(
+1 -7
View File
@@ -377,12 +377,6 @@ async def run_strix_scan(
async with coordinator._lock:
root_status = coordinator.statuses.get(root_id)
root_error = coordinator.errors.get(root_id)
root_recoverable_park = root_status == "waiting" and bool(root_error)
root_start_parked = bool(
interactive and is_resume and root_status != "running" and not root_recoverable_park
)
result = await run_agent_loop(
agent=root_agent,
@@ -394,7 +388,7 @@ async def run_strix_scan(
agent_id=root_id,
interactive=interactive,
session=root_session,
start_parked=root_start_parked,
start_parked=bool(interactive and is_resume and root_status != "running"),
event_sink=event_sink,
hooks=hooks,
)
+13
View File
@@ -7,6 +7,7 @@ import logging
from typing import TYPE_CHECKING, Any, cast
from weakref import WeakKeyDictionary
from agents.items import ItemHelpers
from agents.memory import SQLiteSession
@@ -26,6 +27,18 @@ def open_agent_session(agent_id: str, path: Path) -> SQLiteSession:
return SQLiteSession(session_id=agent_id, db_path=path)
async def seed_initial_input(session: Session, initial_input: Any) -> bool:
"""Commit an agent's opening identity/task input before its first run cycle."""
items = ItemHelpers.input_to_new_input_list(initial_input)
if not items:
return False
async with session_write_lock(session):
if await session.get_items():
return False
await session.add_items(items)
return True
_IMAGE_REJECTED_TEXT = "[image rejected by the model]"
_IMAGE_ELIDED_TEXT = "[older screenshot elided to bound context memory]"
_INHERITED_IMAGE_TEXT = "[screenshot omitted from inherited context]"
+6 -2
View File
@@ -1041,9 +1041,9 @@ class StrixTUIApp(App): # type: ignore[misc]
name=names.get(agent_id, agent_id),
parent_id=parent_of.get(agent_id),
status=status,
error_message=error,
error_message=error or "",
)
if status in {"failed", "crashed"} and error:
if error:
if agent_id not in self._error_noted_agents:
self._error_noted_agents.add(agent_id)
self.live_view.record_agent_error(agent_id, error)
@@ -1293,6 +1293,10 @@ class StrixTUIApp(App): # type: ignore[misc]
text.append("Send a message to continue", style="dim")
keymap = keymap_styled([("ctrl-q", "quit")])
else:
error_msg = agent_data.get("error_message") or ""
if error_msg:
text.append(error_msg, style="red")
text.append(" \u00b7 ", style="dim")
text.append("Send message to resume", style="dim")
return (text, keymap, False)
+1 -1
View File
@@ -82,7 +82,7 @@ class TuiLiveView:
current["parent_id"] = parent_id
if status is not None:
current["status"] = status
if error_message:
if error_message is not None:
current["error_message"] = error_message
current["updated_at"] = now
+173 -54
View File
@@ -5,7 +5,7 @@ from __future__ import annotations
import asyncio
import contextlib
import json
from typing import Any
from typing import Any, cast
from unittest.mock import MagicMock
import pytest
@@ -14,18 +14,19 @@ from agents.memory import SQLiteSession
from agents.tool_context import ToolContext
from openai.types.responses import ResponseOutputMessage, ResponseOutputRefusal
from strix.config import codex
from strix.core import execution
from strix.core.agents import AgentCoordinator
from strix.core.execution import (
_handle_content_guardrail,
_notify_parent_on_terminal,
_notify_root_on_budget_reserve,
respawn_subagents,
)
from strix.core.sessions import seed_initial_input
from strix.tools.finish.tool import finish_scan
_NO_STREAM_EVENTS: list[Any] = []
class _StructuredRefusalStream:
def __init__(self, refusal: str) -> None:
self.run_loop_exception: BaseException | None = None
@@ -43,8 +44,8 @@ class _StructuredRefusalStream:
]
async def stream_events(self) -> Any:
if False:
yield None
for event in _NO_STREAM_EVENTS:
yield event
def cancel(self, mode: str = "immediate") -> None: # noqa: ARG002
return
@@ -529,44 +530,152 @@ async def test_terminal_notice_does_not_cancel_parent_stream(tmp_path: Any) -> N
@pytest.mark.asyncio
async def test_guardrail_interactive_parks_agent_wakeable(tmp_path: Any) -> None:
async def test_send_queues_without_session_and_drains_on_consume(tmp_path: Any) -> None:
coordinator = AgentCoordinator()
await coordinator.register("root", "strix", parent_id=None)
await coordinator.register("child", "recon", parent_id="root")
exc = codex.CodexContentGuardrailError("chatgpt/gpt-5.6-sol")
result = await _handle_content_guardrail(coordinator, "child", exc, interactive=True)
assert await coordinator.send("root", {"from": "user", "content": "hello"}) is True
assert coordinator.pending_counts["root"] == 1
assert result is None
assert coordinator.statuses["child"] == "waiting"
assert "STRIX_LLM" in coordinator.errors["child"]
session = SQLiteSession("root", tmp_path / "agents.db")
await coordinator.attach_runtime("root", session=session)
waiter = asyncio.create_task(coordinator.wait_for_message("child"))
await asyncio.sleep(0)
assert not waiter.done()
session = SQLiteSession("child", tmp_path / "agents.db")
await coordinator.attach_runtime("child", session=session)
await coordinator.send("child", {"from": "user", "content": "switched model, resume"})
await asyncio.wait_for(waiter, timeout=1.0)
count, items = await coordinator.consume_pending("root", include_items=True)
assert count == 1
assert items[0]["content"] == "hello"
stored = await session.get_items()
last = cast("dict[str, Any]", stored[-1])
assert last["content"] == "hello"
session.close()
@pytest.mark.asyncio
async def test_guardrail_noninteractive_fails_only_blocked_agent(tmp_path: Any) -> None:
async def test_error_parked_agent_only_released_by_user_message(tmp_path: Any) -> None:
coordinator = AgentCoordinator()
await coordinator.register("root", "strix", parent_id=None)
await coordinator.register("child", "recon", parent_id="root")
session = SQLiteSession("root", tmp_path / "agents.db")
await coordinator.attach_runtime("root", session=session)
exc = codex.CodexContentGuardrailError("chatgpt/gpt-5.6-sol")
session = SQLiteSession("child", tmp_path / "agents.db")
await coordinator.attach_runtime("child", session=session)
await coordinator.set_status("child", "crashed", error="boom")
result = await _handle_content_guardrail(coordinator, "child", exc, interactive=False)
await coordinator.send("child", {"from": "root", "content": "peer nudge"})
waiter = asyncio.create_task(coordinator.wait_for_message("child"))
await asyncio.sleep(0.05)
assert not waiter.done()
await coordinator.send("child", {"from": "user", "content": "wake up"})
assert await asyncio.wait_for(waiter, timeout=1.0) is True
count, items = await coordinator.consume_pending("child", include_items=True)
assert count == 2
assert items[0]["content"].endswith("peer nudge")
assert items[1]["content"] == "wake up"
session.close()
@pytest.mark.asyncio
async def test_wait_for_message_timeout_returns_false() -> None:
coordinator = AgentCoordinator()
await coordinator.register("child", "recon", parent_id="root")
assert await coordinator.wait_for_message("child", timeout=0.05) is False
@pytest.mark.asyncio
async def test_snapshot_round_trip_preserves_mailboxes() -> None:
coordinator = AgentCoordinator()
await coordinator.register("root", "strix", parent_id=None)
await coordinator.send("root", {"from": "user", "content": "queued"})
snap = await coordinator.snapshot()
restored = AgentCoordinator()
await restored.restore(snap)
assert restored.pending_counts["root"] == 1
assert restored.runtimes["root"].mailbox == [{"from": "user", "content": "queued"}]
@pytest.mark.asyncio
async def test_run_cycle_parked_parks_instead_of_raising(
monkeypatch: pytest.MonkeyPatch,
) -> None:
async def _boom(*_args: Any, **_kwargs: Any) -> Any:
raise RuntimeError("unexpected explosion")
monkeypatch.setattr(execution, "_run_cycle", _boom)
coordinator = AgentCoordinator()
await coordinator.register("root", "strix", parent_id=None)
result = await execution._run_cycle_parked(
object(),
coordinator,
"root",
input_data=[],
run_config=None, # type: ignore[arg-type]
context={},
max_turns=5,
session=None,
event_sink=None,
hooks=None,
)
assert result is None
assert coordinator.statuses["child"] == "failed"
assert "STRIX_LLM" in coordinator.errors["child"]
assert coordinator.statuses["root"] == "running"
assert coordinator.pending_counts.get("root", 0) > 0
assert coordinator.statuses["root"] == "failed"
assert coordinator.errors["root"] == "unexpected explosion"
class _SalvageStream:
def __init__(self, replay: list[dict[str, Any]]) -> None:
self._replay = replay
def to_input_list(self) -> list[dict[str, Any]]:
return self._replay
@pytest.mark.asyncio
async def test_salvage_stream_to_session_preserves_full_history(tmp_path: Any) -> None:
session = SQLiteSession("child", tmp_path / "agents.db")
await session.add_items([{"role": "user", "content": "identity + task"}])
pre_run = list(await session.get_items())
# A crash mid-run: the stream produced two turns the SDK never committed.
stream = _SalvageStream(
[
{"role": "assistant", "content": "recon turn 1"},
{"role": "assistant", "content": "recon turn 2"},
]
)
await execution._salvage_stream_to_session(session, pre_run, stream, "child")
stored = [cast("dict[str, Any]", i) for i in await session.get_items()]
assert [i["content"] for i in stored] == [
"identity + task",
"recon turn 1",
"recon turn 2",
]
# A crash with nothing new to salvage leaves the session untouched.
await execution._salvage_stream_to_session(
session, list(await session.get_items()), _SalvageStream([]), "child"
)
assert len(await session.get_items()) == 3
session.close()
@pytest.mark.asyncio
async def test_seed_initial_input_persists_and_is_idempotent(tmp_path: Any) -> None:
session = SQLiteSession("child", tmp_path / "agents.db")
identity = [{"role": "user", "content": "You are agent recon (abc); do X."}]
assert await seed_initial_input(session, identity) is True
assert len(await session.get_items()) == 1
# A populated session is left untouched (no duplicate identity message).
assert await seed_initial_input(session, identity) is False
assert len(await session.get_items()) == 1
assert await seed_initial_input(session, []) is False
session.close()
@@ -576,7 +685,9 @@ async def test_structured_provider_refusal_fails_interactive_agent(
) -> None:
refusal = "This request was blocked under the provider's usage policy."
stream = _StructuredRefusalStream(refusal)
monkeypatch.setattr(execution.Runner, "run_streamed", lambda *_args, **_kwargs: stream)
monkeypatch.setattr(
"strix.core.execution.Runner.run_streamed", lambda *_args, **_kwargs: stream
)
coordinator = AgentCoordinator()
await coordinator.register("root", "strix", parent_id=None)
@@ -606,7 +717,9 @@ async def test_structured_provider_refusal_fails_noninteractive_child(
) -> None:
refusal = "This request was blocked under the provider's usage policy."
stream = _StructuredRefusalStream(refusal)
monkeypatch.setattr(execution.Runner, "run_streamed", lambda *_args, **_kwargs: stream)
monkeypatch.setattr(
"strix.core.execution.Runner.run_streamed", lambda *_args, **_kwargs: stream
)
coordinator = AgentCoordinator()
await coordinator.register("root", "strix", parent_id=None)
await coordinator.register("child", "recon", parent_id="root")
@@ -635,34 +748,40 @@ async def test_structured_provider_refusal_fails_noninteractive_child(
@pytest.mark.asyncio
async def test_resume_revives_guardrail_parked_child_but_not_plain_waiting(
async def test_run_agent_loop_seeds_identity_before_first_cycle(
tmp_path: Any, monkeypatch: pytest.MonkeyPatch
) -> None:
coordinator = AgentCoordinator()
await coordinator.register("root", "strix", parent_id=None)
await coordinator.register("blocked", "recon", parent_id="root")
await coordinator.register("peer_waiter", "recon", parent_id="root")
await coordinator.set_status("blocked", "waiting", error="STRIX_LLM guardrail")
await coordinator.set_status("peer_waiter", "waiting")
await coordinator.register("child", "recon", parent_id="root")
session = SQLiteSession("child", tmp_path / "agents.db")
parked: dict[str, bool] = {}
captured: dict[str, Any] = {}
async def _fake_start_child_runner(**kwargs: Any) -> None:
parked[kwargs["child_id"]] = bool(kwargs["start_parked"])
async def _crash_first_turn(*_args: Any, **kwargs: Any) -> Any:
captured["input_data"] = kwargs.get("input_data")
captured["items_at_start"] = await session.get_items()
raise RuntimeError("first-turn crash")
monkeypatch.setattr(execution, "_start_child_runner", _fake_start_child_runner)
monkeypatch.setattr(execution, "_run_cycle", _crash_first_turn)
await respawn_subagents(
coordinator=coordinator,
factory=lambda **_kwargs: object(),
agents_db_path=tmp_path / "agents.db",
sessions_to_close=[],
run_config=MagicMock(),
max_turns=10,
interactive=True,
parent_ctx={"agent_id": "root", "parent_id": None},
root_id="root",
)
identity = [{"role": "user", "content": "You are agent recon (abc); maintain your identity."}]
with pytest.raises(RuntimeError, match="first-turn crash"):
await execution.run_agent_loop(
agent=object(),
initial_input=identity,
run_config=None, # type: ignore[arg-type]
context={"agent_id": "child", "parent_id": "root"},
max_turns=5,
coordinator=coordinator,
agent_id="child",
interactive=False,
session=session,
)
assert parked["blocked"] is False
assert parked["peer_waiter"] is True
# The first cycle ran with an empty input against the pre-seeded session.
assert captured["input_data"] == []
assert captured["items_at_start"]
# The identity/task survives the first-turn crash, so a revival can resume it.
stored = await session.get_items()
assert any("recon" in str(cast("dict[str, Any]", i).get("content", "")) for i in stored)
session.close()
+19 -2
View File
@@ -15,6 +15,7 @@ from openai import (
RateLimitError,
)
from strix.config import codex
from strix.core import execution
from strix.core.agents import AgentCoordinator
@@ -55,11 +56,27 @@ def test_server_errors_are_transient() -> None:
assert execution._is_transient_model_error(_status_error(status)) is True
def test_rate_limit_is_not_retried_here() -> None:
def test_rate_limit_is_retried() -> None:
rate_limited = RateLimitError(
"slow down", response=httpx.Response(429, request=_request()), body=None
)
assert execution._is_transient_model_error(rate_limited) is False
assert execution._is_transient_model_error(rate_limited) is True
def test_dns_and_connection_errors_are_transient() -> None:
assert execution._is_transient_model_error(OSError("nodename nor servname provided")) is True
assert execution._is_transient_model_error(ConnectionError("reset")) is True
assert execution._is_transient_model_error(TimeoutError("timed out")) is True
def test_content_guardrail_is_not_retried() -> None:
guardrail = APIError(
"This content was flagged for possible cybersecurity risk",
_request(),
body=None,
)
assert codex.is_content_guardrail_error(guardrail) is True
assert execution._is_transient_model_error(guardrail) is False
def test_client_errors_are_not_transient() -> None: