hermes-agent/tools/async_delegation.py
Teknium b1201213b7 fix(gateway): honest durable ack semantics for undeliverable async completions
Adapter acceptance is not proof of delivery: the inner #55578 resolver can
still fail closed inside the message pipeline after the adapter accepted the
synthetic event, which falsely acknowledged the durable row as delivered and
silently discarded the delegation result.

Pre-flight the delivery target in _deliver_completion_notification before
adapter acceptance (adapted from #65838 by @henrynguyeninfo1):
- live parent or verified live compression tip -> deliver (inner resolver
  still owns the actual route retarget)
- explicit-reset / unknown parent -> terminal 'dropped' disposition via new
  drop_completion_delivery() (not falsely 'delivered', not eternally
  'pending')
- transient uncertainty (DB error, mid-flight rotation without a visible
  continuation) -> release the claim for retry

release_completion_delivery() now converges to a terminal 'dropped' state
once _MAX_DELIVERY_ATTEMPTS is exhausted, so an undeliverable completion
cannot replay on every gateway restart forever.
2026-07-22 06:56:08 -07:00

990 lines
40 KiB
Python

#!/usr/bin/env python3
"""
Async (background) delegation registry.
Backs ``delegate_task(background=true)``: the parent agent dispatches a
subagent that runs on a module-level daemon executor and returns a handle
immediately, so the user and the model can keep working while the child runs.
When the child finishes, a completion event is pushed onto the SHARED
``process_registry.completion_queue`` with ``type="async_delegation"``. The
CLI (``cli.py`` process_loop) and gateway (``_run_process_watcher`` /
``completion_queue`` drain) already poll that queue while the agent is idle
and forge a fresh user/internal turn from each event. We deliberately reuse
that rail rather than reaching into a running agent loop:
- completions surface as a NEW turn when the agent is idle, never spliced
between a tool result and an assistant message. That keeps strict
message-role alternation legal and the prompt cache intact (hard
invariant: never mutate past context).
- we inherit the queue's de-dup, crash-recovery checkpoint, and the
existing CLI + gateway drain wiring for free — no new drain loops in the
two largest files in the repo.
The completion payload carries a RICH, self-contained task-source block (the
original goal, the context the parent supplied, toolsets, model, dispatch
time, status, and the full result summary). When the result re-enters the
conversation the parent may be deep in unrelated context and won't remember
why the subagent existed; the block lets it either use the result or
re-dispatch if the world has moved on.
This module owns ONLY the async lifecycle. The actual child build + run is
delegated back to ``delegate_tool._run_single_child`` via an injected
runner, so all the credential leasing, heartbeat, timeout, and result-shaping
logic stays in one place.
"""
from __future__ import annotations
import json
import logging
import sqlite3
import threading
import time
import uuid
from concurrent.futures import ThreadPoolExecutor
from typing import Any, Callable, Dict, List, Optional
from hermes_constants import get_hermes_home
from tools.daemon_pool import DaemonThreadPoolExecutor
from tools.thread_context import propagate_context_to_thread
logger = logging.getLogger(__name__)
# Back-compat alias — the daemon executor now lives in tools.daemon_pool so
# other subsystems (tool_executor, memory_manager, delegate_tool, skills_hub)
# can share it. Existing imports of ``_DaemonThreadPoolExecutor`` keep working.
_DaemonThreadPoolExecutor = DaemonThreadPoolExecutor
# ---------------------------------------------------------------------------
# Module-level state
# ---------------------------------------------------------------------------
# A persistent daemon executor (NOT a `with ThreadPoolExecutor()` block, which
# would join on exit and defeat the whole point of async). Workers are daemon
# threads so a hard process exit doesn't hang on an in-flight child.
_executor: Optional[ThreadPoolExecutor] = None
_executor_lock = threading.Lock()
_executor_max_workers: int = 0
_records_lock = threading.Lock()
# delegation_id -> record dict. Kept for the lifetime of the run plus a short
# tail after completion so `list_async_delegations()` can show recent results.
_records: Dict[str, Dict[str, Any]] = {}
_DEFAULT_MAX_ASYNC_CHILDREN = 3
# How many completed records to retain for status queries before pruning.
_MAX_RETAINED_COMPLETED = 50
_DURABLE_RETENTION_SECONDS = 7 * 24 * 60 * 60
_MAX_DURABLE_PENDING = 1000
# A pending completion whose delivery keeps failing is retried across claim
# cycles (and across restarts via restore_undelivered_completions). Cap the
# attempts so an unroutable row converges to a terminal 'dropped' state
# instead of replaying on every restart forever.
_MAX_DELIVERY_ATTEMPTS = 8
_DB_LOCK = threading.Lock()
def _db_path():
return get_hermes_home() / "state.db"
def _connect() -> sqlite3.Connection:
path = _db_path()
path.parent.mkdir(parents=True, exist_ok=True)
conn = sqlite3.connect(path, timeout=10)
conn.execute("PRAGMA journal_mode=WAL")
conn.execute(
"""CREATE TABLE IF NOT EXISTS async_delegations (
delegation_id TEXT PRIMARY KEY,
origin_session TEXT NOT NULL,
origin_ui_session_id TEXT NOT NULL DEFAULT '',
parent_session_id TEXT,
state TEXT NOT NULL,
dispatched_at REAL NOT NULL,
completed_at REAL,
updated_at REAL NOT NULL,
event_json TEXT,
result_json TEXT,
delivery_state TEXT NOT NULL DEFAULT 'pending',
delivery_attempts INTEGER NOT NULL DEFAULT 0,
delivered_at REAL,
owner_pid INTEGER,
owner_started_at INTEGER,
task_json TEXT,
delivery_claim TEXT,
delivery_claimed_at REAL
)"""
)
columns = {row[1] for row in conn.execute("PRAGMA table_info(async_delegations)")}
for name, sql_type in (
("owner_pid", "INTEGER"),
("owner_started_at", "INTEGER"),
("task_json", "TEXT"),
("delivery_claim", "TEXT"),
("delivery_claimed_at", "REAL"),
):
if name not in columns:
conn.execute(f"ALTER TABLE async_delegations ADD COLUMN {name} {sql_type}")
return conn
def _persist_dispatch(record: Dict[str, Any]) -> None:
now = time.time()
try:
from gateway.status import get_process_start_time
owner_started_at = get_process_start_time(__import__("os").getpid())
except Exception:
owner_started_at = None
task_payload = {
key: record.get(key)
for key in ("goal", "goals", "context", "toolsets", "role", "model", "is_batch")
if key in record
}
with _DB_LOCK, _connect() as conn:
conn.execute(
"""INSERT OR REPLACE INTO async_delegations
(delegation_id, origin_session, origin_ui_session_id,
parent_session_id, state, dispatched_at, updated_at,
delivery_state, delivery_attempts, owner_pid,
owner_started_at, task_json)
VALUES (?, ?, ?, ?, 'running', ?, ?, 'pending', 0, ?, ?, ?)""",
(record["delegation_id"], record.get("session_key", ""),
record.get("origin_ui_session_id", ""), record.get("parent_session_id"),
record["dispatched_at"], now, __import__("os").getpid(),
owner_started_at, json.dumps(task_payload)),
)
_prune_durable_records()
def _delete_durable_delegation(delegation_id: str) -> None:
with _DB_LOCK, _connect() as conn:
conn.execute("DELETE FROM async_delegations WHERE delegation_id=?", (delegation_id,))
def _prune_durable_records() -> None:
"""Bound terminal history, preferring delivered records for deletion."""
now = time.time()
cutoff = now - _DURABLE_RETENTION_SECONDS
with _DB_LOCK, _connect() as conn:
conn.execute(
"DELETE FROM async_delegations WHERE delivery_state='delivered' AND updated_at < ?",
(cutoff,),
)
terminal_count = conn.execute(
"SELECT COUNT(*) FROM async_delegations WHERE state NOT IN ('running','finalizing')"
).fetchone()[0]
excess = max(0, terminal_count - _MAX_RETAINED_COMPLETED)
if excess:
conn.execute(
"""DELETE FROM async_delegations WHERE delegation_id IN (
SELECT delegation_id FROM async_delegations
WHERE state NOT IN ('running','finalizing')
ORDER BY CASE delivery_state WHEN 'delivered' THEN 0 ELSE 1 END,
updated_at ASC LIMIT ?
)""",
(excess,),
)
pending_count = conn.execute(
"""SELECT COUNT(*) FROM async_delegations
WHERE state NOT IN ('running','finalizing') AND delivery_state='pending'"""
).fetchone()[0]
overflow = max(0, pending_count - _MAX_DURABLE_PENDING)
if overflow:
conn.execute(
"""DELETE FROM async_delegations WHERE delegation_id IN (
SELECT delegation_id FROM async_delegations
WHERE state NOT IN ('running','finalizing') AND delivery_state='pending'
ORDER BY updated_at ASC LIMIT ?
)""",
(overflow,),
)
def _persist_completion(event: Dict[str, Any], result: Dict[str, Any]) -> None:
now = time.time()
with _DB_LOCK, _connect() as conn:
conn.execute(
"""UPDATE async_delegations SET state=?, completed_at=?, updated_at=?,
event_json=?, result_json=?, delivery_state='pending'
WHERE delegation_id=?""",
(event.get("status", "completed"), event.get("completed_at", now), now,
json.dumps(event), json.dumps(result), event["delegation_id"]),
)
def _note_delivery_attempt(delegation_id: str) -> None:
with _DB_LOCK, _connect() as conn:
conn.execute(
"UPDATE async_delegations SET delivery_attempts=delivery_attempts+1, updated_at=? WHERE delegation_id=?",
(time.time(), delegation_id),
)
def recover_abandoned_delegations() -> int:
"""Classify records whose owning process disappeared as outcome unknown."""
try:
from gateway.status import _pid_exists, get_process_start_time
except Exception:
return 0
now = time.time()
recovered = 0
with _DB_LOCK, _connect() as conn:
rows = conn.execute(
"""SELECT delegation_id, origin_session, origin_ui_session_id,
parent_session_id, dispatched_at, owner_pid,
owner_started_at, task_json
FROM async_delegations WHERE state IN ('running','finalizing')"""
).fetchall()
for row in rows:
delegation_id, session_key, origin_ui, parent_id, dispatched_at, pid, started, task_json = row
live = False
if pid:
live = _pid_exists(int(pid))
if live and started is not None:
live = get_process_start_time(int(pid)) == int(started)
if live:
continue
task = json.loads(task_json or "{}")
event = {
"type": "async_delegation", "delegation_id": delegation_id,
"session_key": session_key, "origin_ui_session_id": origin_ui,
"parent_session_id": parent_id, "goal": task.get("goal", ""),
"goals": task.get("goals"), "context": task.get("context"),
"toolsets": task.get("toolsets"), "role": task.get("role"),
"model": task.get("model"), "is_batch": bool(task.get("is_batch")),
"status": "unknown", "summary": None,
"error": "Delegation owner exited before recording a terminal result; outcome unknown.",
"dispatched_at": dispatched_at, "completed_at": now,
}
result = {"status": "unknown", "summary": None, "error": event["error"]}
conn.execute(
"""UPDATE async_delegations SET state='unknown', completed_at=?,
updated_at=?, event_json=?, result_json=?, delivery_state='pending'
WHERE delegation_id=?""",
(now, now, json.dumps(event), json.dumps(result), delegation_id),
)
recovered += 1
return recovered
def restore_undelivered_completions(target_queue) -> int:
"""Enqueue durable pending completions as fresh turns after process start.
Every restored event is stamped ``restored=True`` (in-memory only — the
stamp is added after the durable payload is deserialized and is never
persisted). Restored events originate from a *previous* process, so no
consumer in THIS process implicitly owns them: drain paths that run
without an ownership filter (the legacy single-session behavior) must
leave them queued for a consumer that can positively prove ownership,
otherwise a brand-new session adopts a dead session's delegation
results seconds after boot (#64484).
"""
recover_abandoned_delegations()
with _DB_LOCK, _connect() as conn:
rows = conn.execute(
"""SELECT delegation_id, event_json FROM async_delegations
WHERE state != 'running' AND delivery_state='pending' AND event_json IS NOT NULL
ORDER BY completed_at, delegation_id"""
).fetchall()
for _delegation_id, payload in rows:
evt = json.loads(payload)
if isinstance(evt, dict):
evt["restored"] = True
target_queue.put(evt)
return len(rows)
def mark_completion_delivered(delegation_id: str) -> bool:
"""Atomically acknowledge successful injection of a durable completion."""
now = time.time()
with _DB_LOCK, _connect() as conn:
cur = conn.execute(
"""UPDATE async_delegations SET delivery_state='delivered', delivered_at=?, updated_at=?
WHERE delegation_id=? AND delivery_state!='delivered'""",
(now, now, delegation_id),
)
return cur.rowcount == 1
def claim_completion_delivery(delegation_id: str, claim_id: str) -> bool:
"""Claim one pending completion across competing consumers/processes."""
now = time.time()
with _DB_LOCK, _connect() as conn:
row = conn.execute(
"SELECT delivery_state FROM async_delegations WHERE delegation_id=?",
(delegation_id,),
).fetchone()
if row is None:
return True # legacy event created before durable dispatch
cur = conn.execute(
"""UPDATE async_delegations SET delivery_claim=?, delivery_claimed_at=?,
delivery_attempts=delivery_attempts+1, updated_at=?
WHERE delegation_id=? AND delivery_state='pending'
AND (delivery_claim IS NULL OR delivery_claimed_at < ?)""",
(claim_id, now, now, delegation_id, now - 300),
)
return cur.rowcount == 1
def claim_event_delivery(evt: Dict[str, Any], consumer: str) -> Optional[str]:
"""Claim a durable delegation event; non-durable events need no token."""
if evt.get("type") != "async_delegation":
return ""
delegation_id = str(evt.get("delegation_id") or "")
if not delegation_id:
return ""
claim_id = f"{consumer}:{__import__('os').getpid()}:{uuid.uuid4().hex}"
return claim_id if claim_completion_delivery(delegation_id, claim_id) else None
def release_completion_delivery(delegation_id: str, claim_id: str) -> bool:
"""Release a failed delivery claim so another consumer may retry.
Attempts are counted at claim time, so a row that keeps being claimed and
released has burned real delivery attempts. Once the budget is exhausted
the row converges to a terminal ``dropped`` state instead of returning to
``pending`` — otherwise an undeliverable completion replays on every
gateway restart forever (restore_undelivered_completions only restores
pending rows).
"""
now = time.time()
with _DB_LOCK, _connect() as conn:
capped = conn.execute(
"""UPDATE async_delegations SET delivery_state='dropped',
delivery_claim=NULL, delivery_claimed_at=NULL, updated_at=?
WHERE delegation_id=? AND delivery_state='pending'
AND delivery_claim=? AND delivery_attempts>=?""",
(now, delegation_id, claim_id, _MAX_DELIVERY_ATTEMPTS),
)
if capped.rowcount == 1:
logger.warning(
"Async delegation %s exhausted its %d delivery attempts; "
"marking terminally dropped (result remains queryable).",
delegation_id, _MAX_DELIVERY_ATTEMPTS,
)
return True
cur = conn.execute(
"""UPDATE async_delegations SET delivery_claim=NULL,
delivery_claimed_at=NULL, updated_at=?
WHERE delegation_id=? AND delivery_state='pending'
AND delivery_claim=?""",
(now, delegation_id, claim_id),
)
return cur.rowcount == 1
def drop_completion_delivery(delegation_id: str, claim_id: str) -> bool:
"""Terminally drop a claimed completion that can never be delivered.
Used when the delivery target is permanently gone — the spawning session
ended at an explicit user boundary (/new, reset) rather than a compression
rotation. Marking the row ``dropped`` (not ``delivered``) keeps the ack
honest, and (not ``pending``) keeps restart recovery from replaying a
completion that will be fail-closed dropped again every time.
"""
now = time.time()
with _DB_LOCK, _connect() as conn:
cur = conn.execute(
"""UPDATE async_delegations SET delivery_state='dropped',
updated_at=?, delivery_claim=NULL,
delivery_claimed_at=NULL
WHERE delegation_id=? AND delivery_state='pending'
AND delivery_claim=?""",
(now, delegation_id, claim_id),
)
return cur.rowcount == 1
def complete_completion_delivery(delegation_id: str, claim_id: str) -> bool:
"""Acknowledge acceptance for the consumer holding this claim."""
now = time.time()
with _DB_LOCK, _connect() as conn:
cur = conn.execute(
"""UPDATE async_delegations SET delivery_state='delivered',
delivered_at=?, updated_at=?, delivery_claim=NULL,
delivery_claimed_at=NULL
WHERE delegation_id=? AND delivery_state='pending'
AND delivery_claim=?""",
(now, now, delegation_id, claim_id),
)
return cur.rowcount == 1
def complete_event_delivery(evt: Dict[str, Any], claim_id: str) -> None:
if claim_id and evt.get("type") == "async_delegation":
complete_completion_delivery(str(evt.get("delegation_id") or ""), claim_id)
def release_event_delivery(evt: Dict[str, Any], claim_id: str) -> None:
if claim_id and evt.get("type") == "async_delegation":
release_completion_delivery(str(evt.get("delegation_id") or ""), claim_id)
def get_durable_delegation(delegation_id: str) -> Optional[Dict[str, Any]]:
with _DB_LOCK, _connect() as conn:
row = conn.execute(
"""SELECT origin_session, state, dispatched_at, completed_at,
result_json, delivery_state, delivery_attempts
FROM async_delegations WHERE delegation_id=?""", (delegation_id,),
).fetchone()
if row is None:
return None
return {
"delegation_id": delegation_id, "origin_session": row[0], "state": row[1],
"dispatched_at": row[2], "completed_at": row[3],
"result": json.loads(row[4]) if row[4] else None,
"delivery_state": row[5], "delivery_attempts": row[6],
}
def _get_executor(max_workers: int) -> ThreadPoolExecutor:
"""Lazily create (or grow) the shared daemon executor.
We never shrink — ThreadPoolExecutor can't resize — but if the configured
cap grows between calls we rebuild a larger pool. Existing in-flight
futures keep running on the old pool until it's garbage collected.
"""
global _executor, _executor_max_workers
with _executor_lock:
if _executor is None or max_workers > _executor_max_workers:
# Daemon threads: thread_name_prefix aids debugging in stack dumps.
_executor = _DaemonThreadPoolExecutor(
max_workers=max_workers,
thread_name_prefix="async-delegate",
)
_executor_max_workers = max_workers
return _executor
def active_count() -> int:
"""Number of async delegations currently running."""
with _records_lock:
return sum(1 for r in _records.values() if r.get("status") in {"running", "finalizing"})
def _new_delegation_id() -> str:
return f"deleg_{uuid.uuid4().hex[:8]}"
def _prune_completed_locked() -> None:
"""Drop the oldest completed records beyond the retention cap.
Caller must hold ``_records_lock``.
"""
completed = [
(rid, r)
for rid, r in _records.items()
if r.get("status") != "running"
]
if len(completed) <= _MAX_RETAINED_COMPLETED:
return
# Oldest-first by completion time (fall back to dispatch time).
completed.sort(key=lambda kv: kv[1].get("completed_at") or kv[1].get("dispatched_at") or 0)
for rid, _ in completed[: len(completed) - _MAX_RETAINED_COMPLETED]:
_records.pop(rid, None)
def dispatch_async_delegation(
*,
goal: str,
context: Optional[str],
toolsets: Optional[List[str]],
role: str,
model: Optional[str],
session_key: str,
parent_session_id: Optional[str] = None,
runner: Callable[[], Dict[str, Any]],
origin_ui_session_id: str = "",
interrupt_fn: Optional[Callable[[], None]] = None,
max_async_children: int = _DEFAULT_MAX_ASYNC_CHILDREN,
) -> Dict[str, Any]:
"""Spawn ``runner`` on the daemon executor and return a handle immediately.
Parameters
----------
goal, context, toolsets, role, model
The dispatch-time task spec, captured verbatim for the rich
completion block.
session_key
The gateway session_key (from ``tools.approval.get_current_session_key``)
captured on the parent thread BEFORE dispatch, because the daemon
worker thread won't carry the contextvar. Used to route the
completion back to the originating session.
parent_session_id
The durable ``state.db`` session id of the parent agent that spawned
the delegation. Carried on the completion event so the gateway can
pin routing to the spawning session instead of recovering the latest
``ended_at IS NULL`` row for the peer tuple (#57498).
runner
Zero-arg callable that builds + runs the child and returns the same
result dict ``_run_single_child`` produces. Runs on the worker thread.
interrupt_fn
Optional callable to signal the child to stop (used on shutdown /
explicit cancel).
max_async_children
Concurrency cap. When at capacity the dispatch is REJECTED (the caller
should fall back to sync or tell the user) rather than queued, so a
runaway model can't pile up unbounded background work.
Returns
-------
dict
``{"status": "dispatched", "delegation_id": ...}`` on success, or
``{"status": "rejected", "error": ...}`` when at capacity.
"""
delegation_id = _new_delegation_id()
dispatched_at = time.time()
record: Dict[str, Any] = {
"delegation_id": delegation_id,
"goal": goal,
"context": context,
"toolsets": list(toolsets) if toolsets else None,
"role": role,
"model": model,
"session_key": session_key,
"origin_ui_session_id": origin_ui_session_id,
"parent_session_id": parent_session_id,
"status": "running",
"dispatched_at": dispatched_at,
"completed_at": None,
"interrupt_fn": interrupt_fn,
}
# Capacity check and record insert under ONE lock hold — checking
# active_count() separately would let two concurrent dispatches (e.g.
# from different gateway sessions) both pass the check and exceed the cap.
with _records_lock:
running = sum(
1 for r in _records.values() if r.get("status") == "running"
)
if running >= max_async_children:
return {
"status": "rejected",
"error": (
f"Async delegation capacity reached ({max_async_children} "
f"running). Wait for one to finish (its result will re-enter "
f"the chat), or run this task synchronously "
f"(background=false). Raise delegation.max_concurrent_children in "
f"config.yaml to allow more concurrent background subagents."
),
}
_records[delegation_id] = record
_persist_dispatch(record)
executor = _get_executor(max_async_children)
def _worker() -> None:
result: Dict[str, Any] = {}
status = "error"
try:
result = runner() or {}
status = result.get("status") or "completed"
except Exception as exc: # noqa: BLE001 — must never crash the worker
logger.exception("Async delegation %s crashed", delegation_id)
result = {
"status": "error",
"summary": None,
"error": f"{type(exc).__name__}: {exc}",
"api_calls": 0,
"duration_seconds": round(time.time() - dispatched_at, 2),
}
status = "error"
finally:
_finalize(delegation_id, result, status)
try:
# Propagate the dispatching profile so the detached child resolves
# get_hermes_home() under the right profile.
executor.submit(propagate_context_to_thread(_worker))
except Exception as exc: # pragma: no cover — pool submit failure is rare
with _records_lock:
_records.pop(delegation_id, None)
_delete_durable_delegation(delegation_id)
return {
"status": "rejected",
"error": f"Failed to schedule async delegation: {exc}",
}
logger.info(
"Dispatched async delegation %s (session_key=%s): %s",
delegation_id, session_key or "<cli>", (goal or "")[:80],
)
return {"status": "dispatched", "delegation_id": delegation_id}
def _finalize(delegation_id: str, result: Dict[str, Any], status: str) -> None:
"""Mark a record complete and push the completion event onto the queue."""
with _records_lock:
record = _records.get(delegation_id)
if record is None:
return
# Stay active until durable persistence and queue publication finish;
# otherwise process shutdown can kill this daemon worker in the narrow
# gap after status flips but before SQLite is committed.
record["status"] = "finalizing"
record["completed_at"] = time.time()
record["interrupt_fn"] = None # drop the closure; child is done
event_record = dict(record)
_push_completion_event(event_record, result, status)
with _records_lock:
record = _records.get(delegation_id)
if record is not None:
record["status"] = status
_prune_completed_locked()
def _push_completion_event(
record: Dict[str, Any], result: Dict[str, Any], status: str
) -> None:
"""Push a type='async_delegation' event onto the shared completion queue.
Best-effort: a failure here must not crash the worker, but it WOULD mean a
silently-lost result, so we log loudly.
"""
try:
from tools.process_registry import process_registry
except Exception as exc: # pragma: no cover
logger.error(
"Async delegation %s finished but process_registry import failed; "
"result lost: %s",
record.get("delegation_id"), exc,
)
return
summary = result.get("summary")
error = result.get("error")
dispatched_at = record.get("dispatched_at") or time.time()
completed_at = record.get("completed_at") or time.time()
evt = {
"type": "async_delegation",
"delegation_id": record.get("delegation_id"),
# session_key routes the completion back to the originating gateway
# session; empty string => CLI (single-session) path.
"session_key": record.get("session_key", ""),
"origin_ui_session_id": record.get("origin_ui_session_id", ""),
"parent_session_id": record.get("parent_session_id"),
"goal": record.get("goal", ""),
"context": record.get("context"),
"toolsets": record.get("toolsets"),
"role": record.get("role"),
"model": result.get("model") or record.get("model"),
"status": status,
"summary": summary,
"error": error,
"api_calls": result.get("api_calls", 0),
"duration_seconds": result.get(
"duration_seconds", round(completed_at - dispatched_at, 2)
),
"dispatched_at": dispatched_at,
"completed_at": completed_at,
"exit_reason": result.get("exit_reason"),
}
_persist_completion(evt, result)
try:
process_registry.completion_queue.put(evt)
except Exception as exc: # pragma: no cover
logger.error(
"Async delegation %s: failed to enqueue completion event; "
"result lost: %s",
record.get("delegation_id"), exc,
)
def dispatch_async_delegation_batch(
*,
goals: List[str],
context: Optional[str],
toolsets: Optional[List[str]],
role: str,
model: Optional[str],
session_key: str,
parent_session_id: Optional[str] = None,
runner: Callable[[], Dict[str, Any]],
origin_ui_session_id: str = "",
interrupt_fn: Optional[Callable[[], None]] = None,
max_async_children: int = _DEFAULT_MAX_ASYNC_CHILDREN,
delegation_id: Optional[str] = None,
) -> Dict[str, Any]:
"""Dispatch a WHOLE fan-out batch as ONE background unit.
Unlike ``dispatch_async_delegation`` (which backs a single subagent),
``runner`` here runs the entire batch — it builds and joins on every child
in parallel and returns the combined ``{"results": [...],
"total_duration_seconds": N}`` dict that the synchronous path would have
returned. We occupy ONE async slot for the whole batch (the in-batch
parallelism is bounded separately by ``max_concurrent_children``), so a
single ``delegate_task`` fan-out never exhausts the async pool by itself.
When the batch finishes, a SINGLE completion event is pushed onto the
shared ``process_registry.completion_queue`` carrying the full per-task
``results`` list, so the consolidated summaries re-enter the conversation
as one message once every child is done — the chat is never blocked while
they run.
Returns ``{"status": "dispatched", "delegation_id": ...}`` on success or
``{"status": "rejected", "error": ...}`` when the async pool is at
capacity.
"""
delegation_id = delegation_id or _new_delegation_id()
dispatched_at = time.time()
n = len(goals)
# A combined goal label for status listings / the completion header.
combined_goal = (
goals[0] if n == 1 else f"{n} parallel subagents: " + "; ".join(g[:40] for g in goals)
)
record: Dict[str, Any] = {
"delegation_id": delegation_id,
"goal": combined_goal,
"goals": list(goals),
"context": context,
"toolsets": list(toolsets) if toolsets else None,
"role": role,
"model": model,
"session_key": session_key,
"origin_ui_session_id": origin_ui_session_id,
"parent_session_id": parent_session_id,
"status": "running",
"dispatched_at": dispatched_at,
"completed_at": None,
"interrupt_fn": interrupt_fn,
"is_batch": True,
}
with _records_lock:
running = sum(
1 for r in _records.values() if r.get("status") == "running"
)
if running >= max_async_children:
return {
"status": "rejected",
"error": (
f"Async delegation capacity reached ({max_async_children} "
f"running). Wait for one to finish (its result will re-enter "
f"the chat), or raise delegation.max_concurrent_children in "
f"config.yaml to allow more concurrent background units."
),
}
_records[delegation_id] = record
_persist_dispatch(record)
executor = _get_executor(max_async_children)
def _worker() -> None:
combined: Dict[str, Any] = {}
status = "error"
try:
combined = runner() or {}
# Batch status: completed unless every child errored/was interrupted.
child_results = combined.get("results") or []
if child_results and all(
(r.get("status") not in ("completed", "success"))
for r in child_results
):
status = "error"
else:
status = "completed"
except Exception as exc: # noqa: BLE001 — must never crash the worker
logger.exception("Async delegation batch %s crashed", delegation_id)
combined = {
"results": [],
"error": f"{type(exc).__name__}: {exc}",
"total_duration_seconds": round(time.time() - dispatched_at, 2),
}
status = "error"
finally:
_finalize_batch(delegation_id, combined, status)
try:
# Propagate the dispatching profile to the detached batch children.
executor.submit(propagate_context_to_thread(_worker))
except Exception as exc: # pragma: no cover
with _records_lock:
_records.pop(delegation_id, None)
_delete_durable_delegation(delegation_id)
return {
"status": "rejected",
"error": f"Failed to schedule async delegation batch: {exc}",
}
logger.info(
"Dispatched async delegation batch %s (%d task(s), session_key=%s)",
delegation_id, n, session_key or "<cli>",
)
return {"status": "dispatched", "delegation_id": delegation_id}
def _finalize_batch(
delegation_id: str, combined: Dict[str, Any], status: str
) -> None:
"""Mark a batch record complete and push ONE combined completion event."""
with _records_lock:
record = _records.get(delegation_id)
if record is None:
return
record["status"] = "finalizing"
record["completed_at"] = time.time()
record["interrupt_fn"] = None
event_record = dict(record)
try:
from tools.process_registry import process_registry
except Exception as exc: # pragma: no cover
logger.error(
"Async delegation batch %s finished but process_registry import "
"failed; result lost: %s",
delegation_id, exc,
)
return
dispatched_at = event_record.get("dispatched_at") or time.time()
completed_at = event_record.get("completed_at") or time.time()
evt = {
"type": "async_delegation",
"delegation_id": delegation_id,
"session_key": event_record.get("session_key", ""),
"origin_ui_session_id": event_record.get("origin_ui_session_id", ""),
"parent_session_id": event_record.get("parent_session_id"),
"goal": event_record.get("goal", ""),
"goals": event_record.get("goals"),
"context": event_record.get("context"),
"toolsets": event_record.get("toolsets"),
"role": event_record.get("role"),
"model": event_record.get("model"),
"status": status,
"is_batch": True,
# The full per-task results list — the formatter renders a
# consolidated multi-task block from this.
"results": combined.get("results") or [],
# Per-task live transcript log paths (cache/delegation/live/...).
# They persist after completion and double as the full-fidelity
# operational record of each child's run.
"live_transcripts": combined.get("live_transcripts"),
"error": combined.get("error"),
"total_duration_seconds": combined.get("total_duration_seconds"),
"dispatched_at": dispatched_at,
"completed_at": completed_at,
}
_persist_completion(evt, combined)
try:
process_registry.completion_queue.put(evt)
except Exception as exc: # pragma: no cover
logger.error(
"Async delegation batch %s: failed to enqueue completion event; "
"result lost: %s",
delegation_id, exc,
)
finally:
with _records_lock:
record = _records.get(delegation_id)
if record is not None:
record["status"] = status
_prune_completed_locked()
def list_async_delegations() -> List[Dict[str, Any]]:
"""Snapshot of async delegations (running + recently completed).
Safe to call from any thread. Excludes the non-serialisable interrupt_fn.
"""
with _records_lock:
return [
{k: v for k, v in r.items() if k != "interrupt_fn"}
for r in _records.values()
]
def interrupt_all(reason: str = "shutdown") -> int:
"""Signal every running async delegation to stop. Returns how many.
Used on ``/stop`` and gateway shutdown so a dangling background subagent
can't keep burning tokens with no one listening. The child still emits a
completion event (status='interrupted') via the normal finalize path.
"""
count = 0
with _records_lock:
targets = [
r for r in _records.values() if r.get("status") == "running"
]
for r in targets:
fn = r.get("interrupt_fn")
if callable(fn):
try:
fn()
count += 1
except Exception as exc:
logger.debug(
"interrupt_all: %s interrupt failed: %s",
r.get("delegation_id"), exc,
)
if count:
logger.info("Interrupted %d async delegation(s) (%s)", count, reason)
return count
def interrupt_for_session(
session_key: str = "",
origin_ui_session_id: str = "",
parent_session_id: str = "",
reason: str = "session_end",
) -> int:
"""Signal running async delegations owned by ONE session to stop.
A delegation's lifecycle is bound to the session that spawned it: when
that session ends, its in-flight background subagents must end with it —
a completed orphan would otherwise sit on the shared completion queue
with no live owner, either leaking into another chat or burning tokens
with no one listening (#55578).
Selectors (any matching field claims the record):
- ``origin_ui_session_id``: the live TUI tab/window that commissioned it.
- ``session_key``: the durable routing key captured at dispatch.
- ``parent_session_id``: the spawning agent's durable session-db id —
the right selector for gateway chats, whose ``session_key`` (the
platform conversation key) SURVIVES a ``/new`` reset while the
session id rotates.
Returns how many were interrupted.
"""
if not session_key and not origin_ui_session_id and not parent_session_id:
return 0
count = 0
with _records_lock:
targets = [
r for r in _records.values()
if r.get("status") == "running"
and (
(origin_ui_session_id and str(r.get("origin_ui_session_id") or "") == origin_ui_session_id)
or (session_key and str(r.get("session_key") or "") == session_key)
or (parent_session_id and str(r.get("parent_session_id") or "") == parent_session_id)
)
]
for r in targets:
fn = r.get("interrupt_fn")
if callable(fn):
try:
fn()
count += 1
except Exception as exc:
logger.debug(
"interrupt_for_session: %s interrupt failed: %s",
r.get("delegation_id"), exc,
)
if count:
logger.info(
"Interrupted %d async delegation(s) for ending session (%s)",
count, reason,
)
return count
def _reset_for_tests() -> None:
"""Test-only: clear all state and tear down the executor."""
global _executor, _executor_max_workers
with _executor_lock:
if _executor is not None:
_executor.shutdown(wait=False)
_executor = None
_executor_max_workers = 0
with _records_lock:
_records.clear()