Files
hermes-agent/hermes_cli/cli_single_query.py
T
calvinnwq eb1d54ad76 fix(kanban): attribute worker turns to the dispatcher, not the operator
The dispatcher spawns `hermes chat -q "work kanban task <id>"` with no turn
author, so memory providers filed the dispatcher prompt and the worker's reply
under the human user's peer. Honcho, for example, derived facts such as
"the user mentioned kanban task t_..." and promoted worker progress notes into
the user's profile.

The spawn now sets HERMES_TURN_AUTHOR to a bot author (`bot:kanban`), and the
non-quiet `-q` one-shot path consumes it the same way `-Q` already does and
forwards it to every turn of the run, including recovery and goal follow-ups.
Providers that understand bot authors route these turns away from the human
peer; a human `-q` run keeps today's unattributed call shape.
2026-10-26 13:04:58 +05:30

595 lines
32 KiB
Python

"""Single-query (``-q`` / one-shot) helpers: kanban goal loops, exit-code mapping, quiet single-query runner, image routing, signal handlers and the single-query mode orchestrator.
Split out of ``cli.py``; ``cli`` re-exports every public name and moved bodies late-bind
cli-level names through ``from cli import ...`` at call time so facade monkeypatch seams hold.
"""
from __future__ import annotations
from typing import TYPE_CHECKING
import logging
import os
import sys
import time
from agent.i18n import t
from agent.interrupt_compat import request_hard_interrupt
from contextlib import suppress
from pathlib import Path
from typing import Any
# Log-record parity with the origin module.
logger = logging.getLogger("cli")
if TYPE_CHECKING:
from cli import HermesCLI
def _int_or(value, default: int) -> int:
"""``int(value)``, or ``default`` when it does not parse."""
try:
return int(value)
except (TypeError, ValueError):
return default
def _interrupt_agent_for_signal(agent, signum) -> None:
"""Hard-interrupt ``agent`` for a shutdown signal, then sleep ``HERMES_SIGTERM_GRACE`` (1.5 s).
The grace lets the agent thread kill the tool's setsid subprocess group before the
main thread unwinds (else an orphan child). Never raises.
"""
from cli import _float_env
try:
if agent is not None:
request_hard_interrupt(agent, f"received signal {signum}")
_grace = _float_env("HERMES_SIGTERM_GRACE", 1.5)
if _grace > 0:
time.sleep(_grace)
except Exception:
pass # never block signal handling
def _run_kanban_goal_loop_q(cli: HermesCLI, first_response: str, run_turn=None, log=None) -> None:
"""Drive a kanban goal_mode worker through ``goals.run_kanban_goal_loop`` after its first turn.
``run_turn`` defaults to the bare ``-Q`` turn (final answer only). The ``-q`` worker path
passes ``cli.chat`` so every follow-up turn keeps the tool activity feed that the Kanban
worker log is made of. The caller swallows all errors: a broken loop must never wedge a worker.
"""
from cli import _int_or, _sync_cli_session_id_from_agent
task_id = (os.environ.get("HERMES_KANBAN_TASK") or "").strip()
if not task_id:
return
raw_run_id = (os.environ.get("HERMES_KANBAN_RUN_ID") or "").strip()
worker_run_id = _int_or(raw_run_id, None) if raw_run_id else None
if raw_run_id and worker_run_id is None:
logger.warning("invalid HERMES_KANBAN_RUN_ID=%r", raw_run_id)
from hermes_cli import kanban_db as _kb
from hermes_cli import kanban_db_connect as _kbc
from hermes_cli.goals import run_kanban_goal_loop as _run_loop, DEFAULT_MAX_TURNS as _DEF_TURNS
# Goal text = title + body (the acceptance criteria the judge evaluates against).
with _kbc.connect_closing() as conn:
task = _kb.get_task(conn, task_id)
if task is None:
return
goal_text = "\n\n".join(p for p in (task.title or "", task.body) if p).strip()
if not goal_text:
return
def _quiet_turn(prompt: str) -> dict:
result = cli.agent.run_conversation(user_message=prompt, conversation_history=cli.conversation_history)
_sync_cli_session_id_from_agent(cli)
resp = result.get("final_response", "") if isinstance(result, dict) else str(result)
if resp:
print(resp)
# Carry failed/failure_reason so run_kanban_goal_loop can stop on a failed
# worker turn instead of grinding out empty continuation turns (#91264).
return {
"response": resp or "",
"failed": result.get("failed", False) if isinstance(result, dict) else False,
"failure_reason": result.get("failure_reason") if isinstance(result, dict) else None,
}
def _task_status() -> str | None:
with _kbc.connect_closing() as c:
return _kb.goal_run_status(c, task_id, worker_run_id)
def _block(reason: str) -> None:
with _kbc.connect_closing() as c:
_kb.block_task(c, task_id, reason=reason, expected_run_id=worker_run_id)
_run_loop(
task_id=task_id, goal_text=goal_text, run_turn=run_turn or _quiet_turn,
task_status_fn=_task_status, block_fn=_block,
max_turns=task.goal_max_turns or _DEF_TURNS, first_response=first_response or "",
log=log or (lambda m: logger.info("%s", m)),
)
def _run_kanban_goal_loop_chat(cli: HermesCLI, first_response: str) -> None:
"""``-q`` worker variant: follow-up turns go through ``cli.chat`` (tool feed stays on stdout,
which is the Kanban worker log) and judge verdicts are printed there too, so a goal_mode card's
log reads like any other worker's instead of staying blank until the final answer."""
from cli import _run_kanban_goal_loop_q
def _log(msg: str) -> None:
logger.info("%s", msg)
print(msg, flush=True)
_run_kanban_goal_loop_q(cli, first_response, run_turn=lambda p: cli.chat(p) or "", log=_log)
def _sync_cli_session_id_from_agent(cli) -> None:
"""Keep ``cli.session_id`` in sync when mid-run compression rotated the agent's session."""
if getattr(cli.agent, "session_id", None) and cli.agent.session_id != cli.session_id:
cli.session_id = cli.agent.session_id
# ``failure_reason`` values that say nothing about the task itself: the provider is walled,
# down or unreachable, or the account is out of credit, so a Kanban worker signals "try
# later" instead of "I failed" and the dispatcher does not spend the task's retry budget on it.
from hermes_cli.turn_exit import TRANSIENT_PROVIDER_REASONS as _TRANSIENT_PROVIDER_REASONS
# ``failure_reason`` values a retry can never heal: the credential was rejected, the model does
# not exist for this account, or the TLS chain is broken. A Kanban worker exits
# ``KANBAN_TERMINAL_PROVIDER_EXIT_CODE`` so the dispatcher parks the card after ONE spawn with
# the provider's words as the reason, instead of re-spawning into the same wall until
# ``kanban.failure_limit`` is spent. ``billing`` stays transient: credit comes back.
# ``upstream_blocked`` (a WAF/CDN refusing the SDK's User-Agent) is terminal too: only a
# header change heals it, never a retry.
from hermes_cli.turn_exit import TERMINAL_PROVIDER_REASONS as _TERMINAL_PROVIDER_REASONS
def _single_query_exit_code(result, *, credentials_rate_limited: bool = False,
credentials_terminal: bool = False) -> int:
"""Map a one-shot turn result onto a process exit code, for both `-q` and `-Q`.
0 only when the turn completed; 130 when it was interrupted; 1 when it failed, stopped
partway (`partial`, `completed: False`) or never ran at all (credentials / agent init
failed, so ``result`` is not a dict). A Kanban worker (``HERMES_KANBAN_TASK`` set) that
failed purely on a provider rate-limit / billing wall exits ``KANBAN_RATE_LIMIT_EXIT_CODE``
(EX_TEMPFAIL): the dispatcher books that run ``rate_limited`` and requeues the task
WITHOUT counting a failure, so a quota window or a provider outage cannot trip the breaker.
The same sentinel applies when credential resolution itself is a quota/rate-limit
AuthError (no turn result object is produced). One that failed on a terminal provider
error (credential revoked, model gone) exits ``KANBAN_TERMINAL_PROVIDER_EXIT_CODE``
(EX_CONFIG): the dispatcher blocks the card at once. The same code applies
before a turn when credential resolution explicitly requires re-authentication;
unknown startup failures retain exit 1.
The worker predicate is the STRIPPED ``kanban_task_id()`` (from
``agent.kanban_turn_recovery``) so a whitespace-only value is not a worker here
either — the exit mapping and the recovery gate must agree on what a worker is.
"""
# Late-bound through the ``cli`` facade so a patched ``cli._*_PROVIDER_REASONS`` holds.
from cli import _TERMINAL_PROVIDER_REASONS as terminal_reasons
from cli import _TRANSIENT_PROVIDER_REASONS as transient_reasons
from agent.kanban_turn_recovery import kanban_task_id
from hermes_cli.turn_exit import turn_exit_code
return turn_exit_code(
result, kanban_worker=kanban_task_id() is not None,
credentials_rate_limited=credentials_rate_limited,
credentials_terminal=credentials_terminal,
transient_reasons=transient_reasons,
terminal_reasons=terminal_reasons,
)
def _run_quiet_single_query(cli, effective_query, emitter=None):
"""Quiet (-Q) one-shot turn: run, print the response (stderr for errors/session_id), then sys.exit with the automation exit code.
With a ``StreamJsonEmitter`` the final answer and the exit line become the terminal ``result`` JSONL record instead.
HERMES_TURN_AUTHOR (set only by a bot-to-bot dispatcher) is consumed here so tool subprocesses do not inherit it.
Nested Bot Mode notifies bind this session's key (not the dispatcher's) and resume in-process
before stdout is printed, so a teammate reply is the quiet run's final answer rather than a
stranded receipt."""
from cli import _emit_interrupted_session_end, _run_kanban_goal_loop_q, _single_query_exit_code, _sync_cli_session_id_from_agent
from agent.interrupt_compat import _accepts_keyword
from agent.turn_author import take_turn_author_from_env
from hermes_cli.quiet_single_query import (
bind_quiet_session_key, continue_quiet_notify_completions, exit_single_query, quiet_notify_linger_seconds, take_turn_report_path, write_turn_report,
)
author = take_turn_author_from_env()
# A spawner that bounds only the turn (cron Bot Chat lane) learns the outcome from this
# report, written before the linger below; popped so tool subprocesses do not inherit it.
turn_report_path = take_turn_report_path()
author_kwargs = {"turn_author": author} if author is not None and _accepts_keyword(cli.agent.run_conversation, "turn_author") else {}
with bind_quiet_session_key(getattr(cli, "session_id", "") or "default"):
try:
result = cli.agent.run_conversation(
user_message=effective_query, conversation_history=cli.conversation_history, **author_kwargs,
)
except KeyboardInterrupt:
_emit_interrupted_session_end(cli, reason="keyboard_interrupt")
if emitter is not None:
exit_single_query(emitter.emit_result({"failed": True, "error": "Interrupted"}, session_id=cli.session_id or "", exit_code=130))
print(f"\nsession_id: {cli.session_id}", file=sys.stderr)
exit_single_query(130)
# The exit line below reports session_id to stderr for automation wrappers;
# without this sync it would point at the ended parent after compression.
_sync_cli_session_id_from_agent(cli)
# Kanban worker: a turn that died on a retryable provider failure is retried
# IN PLACE (same session, context preserved) instead of ending the run silently.
# Authority (typed retryable failure, no interrupt / terminal settlement) and the
# live run/claim proof live in agent/kanban_turn_recovery.py. Runs BEFORE the turn
# report so everything downstream — report, follow-ups, response, goal gate, exit —
# sees the post-recovery disposition.
from agent.kanban_turn_recovery import recover_failed_kanban_turns as _recover_turns
def _quiet_recover_turn(nudge):
nonlocal result
_history = result.get("messages") if isinstance(result, dict) else None
result = cli.agent.run_conversation(
user_message=nudge,
conversation_history=_history or cli.conversation_history,
**author_kwargs,
)
_sync_cli_session_id_from_agent(cli)
_recover_turns(
_quiet_recover_turn,
lambda: result,
emit=lambda msg: print(msg, file=sys.stderr, flush=True),
)
# The turn is over and persisted: the one-shot exit linger that follows protects nested
# notify_on_complete replies and is NOT part of the spawner's delivery (#113608). The
# report carries what this run will print, so a spawner booking a child still lingering
# at its cap relays the answer instead of a timeout (#114980).
def _report_turn(res) -> None:
write_turn_report(
turn_report_path, exit_code=_single_query_exit_code(res),
error=str(res.get("error") or "") if isinstance(res, dict) else "agent turn did not run",
reply=res.get("final_response", "") if isinstance(res, dict) else str(res),
)
_report_turn(result)
if isinstance(result, dict) and not result.get("failed"):
history = result.get("messages") or cli.conversation_history
def _follow_up(text):
nonlocal history
follow = cli.agent.run_conversation(
user_message=text, conversation_history=history, **author_kwargs,
)
if isinstance(follow, dict) and follow.get("messages"):
history = follow["messages"]
# Same sync contract as the main turn: a compression rotation during a
# follow-up must not leave a stale id on the exit line / drain key.
_sync_cli_session_id_from_agent(cli)
return follow
# One shared linger budget for the whole run: the loop below and the later
# _wait_for_oneshot_background_completions pass must not each wait the full
# oneshot_completion_wait_seconds on the same stuck notify_on_complete child.
# Flagged after the loop (finally-equivalent): the wait is the loop's first
# statement, so anything raising past that point has consumed budget the
# finalize pass must not re-wait.
try:
continued = continue_quiet_notify_completions(
getattr(cli, "session_id", "") or "",
_follow_up,
owns_event=getattr(cli, "_owns_process_notification", None),
linger_budget=quiet_notify_linger_seconds(),
)
finally:
cli._quiet_notify_linger_done = True
if isinstance(continued, dict):
result = continued
# A teammate's reply displaced the answer this run prints; tell the spawner.
_report_turn(result)
response = result.get("final_response", "") if isinstance(result, dict) else str(result)
# Surface backend errors that produced no visible output (e.g. invalid model slug
# -> provider 4xx) on stderr so piped stdout stays clean.
if emitter is not None:
pass # the result record below carries text/error; nothing else may touch stdout
elif (
not response and isinstance(result, dict) and result.get("error")
and (result.get("failed") or result.get("partial"))
):
print(t("gateway.model.error_prefix", error=result["error"]), file=sys.stderr)
elif response:
print(response)
# ONE exit-code decision point for this driver, shared with the non-quiet one-shot
# path via _single_query_exit_code: a quota/billing wall keeps the EX_TEMPFAIL
# sentinel so the dispatcher releases the task without counting a failure, and any
# other unfinished worker turn exits non-zero instead of ending as a silent rc=0
# that reads as a protocol violation. Computed BEFORE goal continuation — the
# post-recovery disposition must be authoritative for the rest of the driver.
_exit_code = _single_query_exit_code(result)
# Kanban goal_mode: keep working in THIS session until a judge agrees the card is
# done, the worker terminates it, or the turn budget runs out (sticky block).
# ONLY a settled, authorized turn may continue: a result that remains
# failed/unfinished — recovery exhausted or DENIED (lease expired, claim lost,
# quota wall, interrupt, terminal settlement) — must reach the shared exit path
# below without goal continuation. goal_run_status() checks only run identity,
# not the claim lock or either expiry, so an unreaped expired-lease row still
# reports "running" and a continue verdict would re-enter the model under an
# authority this process can no longer prove (round-3 finding).
if os.environ.get("HERMES_KANBAN_GOAL_MODE") == "1" and _exit_code == 0:
try:
_run_kanban_goal_loop_q(cli, response)
except Exception as _goal_exc:
logger.debug("kanban goal loop failed: %s", _goal_exc)
if emitter is None:
print(f"\nsession_id: {cli.session_id}", file=sys.stderr)
if emitter is not None:
_exit_code = emitter.emit_result(result, session_id=cli.session_id or "", exit_code=_exit_code)
exit_single_query(_exit_code)
def _route_single_query_images(cli, query, effective_query, single_query_images, single_query_image_urls):
"""Attach one-shot images natively when the model supports vision, else pre-describe them as text."""
if not (single_query_images or single_query_image_urls):
return effective_query
# Same image-routing decision as the interactive path: a vision-capable model
# (incl. custom-provider models declaring `model.supports_vision: true`) gets
# native image_url parts; otherwise the text pipeline (vision_analyze
# pre-description).
_img_mode = "text"
_build_parts = None
try:
from agent.image_routing import build_native_content_parts as _build_parts
from agent.image_routing import decide_image_input_mode
from hermes_cli.config import load_config
_img_mode = decide_image_input_mode(
(cli.provider or "").strip(), (cli.model or "").strip(), load_config(),
requested_provider=(cli.requested_provider or "").strip(),
)
except Exception:
_img_mode = "text"
def _text_fallback():
# ``_preprocess_images_with_vision`` only knows local files; when only URLs
# were supplied keep the original query text intact.
if single_query_images:
return cli._preprocess_images_with_vision(query, single_query_images, announce=False)
return effective_query
if _img_mode != "native" or _build_parts is None:
return _text_fallback()
try:
_parts, _skipped = _build_parts(
query if isinstance(query, str) else "",
[str(p) for p in single_query_images],
image_urls=list(single_query_image_urls) or None,
)
if any(p.get("type") == "image_url" for p in _parts):
return _parts
return _text_fallback() # all images unreadable
except Exception:
return _text_fallback()
def _collect_kanban_task_images(single_query_images):
"""Kanban workers: image paths/URLs in the task body join the first turn's attachments."""
single_query_image_urls: list[str] = []
_kanban_task_id = os.environ.get("HERMES_KANBAN_TASK", "").strip()
if not _kanban_task_id:
return single_query_image_urls
try:
from hermes_cli import kanban_db as _kb
from hermes_cli import kanban_db_connect as _kbc
from agent.image_routing import extract_image_refs as _extract_refs
with _kbc.connect_closing() as _conn:
_task = _kb.get_task(_conn, _kanban_task_id)
_body = getattr(_task, "body", "") if _task is not None else ""
if _body:
_kb_paths, _kb_urls = _extract_refs(_body)
# Dedupe against any --image the user already passed.
_seen = {str(p) for p in single_query_images}
for _p in _kb_paths:
if _p not in _seen:
_seen.add(_p)
single_query_images.append(Path(_p))
single_query_image_urls.extend(_kb_urls)
except Exception as _exc:
# Best-effort enrichment; never block worker startup on it.
logger.debug("kanban image-ref extraction failed: %s", _exc)
return single_query_image_urls
def _install_single_query_signal_handlers(cli):
"""Route SIGINT/SIGTERM/SIGHUP through agent.interrupt() before unwinding; kanban workers hard-exit.
A plain KeyboardInterrupt only unwinds the main thread, so tool worker threads
would orphan the setsid child; the interrupt + grace window lets them kill it.
"""
from cli import _arm_exit_watchdog_on_shutdown_signal, _flush_logging_and_stdio, _flush_one_shot_session_store, _interrupt_agent_for_signal
import signal as _signal
def _kill_foreground_and_exit(*_):
# The worker's command runs in its own process group: SIGKILL it or it outlives os._exit.
with suppress(Exception):
from tools.environments.base import kill_live_foreground_processes
kill_live_foreground_processes(now=True)
os._exit(0)
def _signal_handler_q(signum, frame):
logger.debug("Received signal %s in single-query mode", signum)
_arm_exit_watchdog_on_shutdown_signal() # covers wedges in the unwind below
_interrupt_agent_for_signal(getattr(cli, "agent", None), signum)
# Kanban: a non-daemon worker blocked in _wait_for_process survives KeyboardInterrupt
# and the dispatcher sees 'running' forever, so os._exit(0) (SIGALRM deadman guards
# a blocking flush). That skips atexit + the token-drain hook, hence the explicit flush.
# Kanban worker exit path (#28181): SIGTERM hits a dispatcher-spawned worker that's likely in a
# non-daemon thread waiting on a child subprocess in _wait_for_process. Raising KeyboardInterrupt
# only unwinds the main thread; the worker thread keeps running, the process gets reparented to
# init, and the dispatcher's _pid_alive check returns True forever — task stuck in 'running'
# indefinitely. Skip the controlled-unwind dance and call os._exit(0) so the kernel reclaims the PID
# immediately and detect_crashed_workers can reclaim the stale claim on the next tick. Flush logging
# + stdout/stderr first so the final debug trace isn't lost; SIGALRM deadman guards the flush
# against any rare blocking-I/O case (the reporter measured flush in <1ms; the alarm is a failsafe,
# not the common path).
if os.environ.get("HERMES_KANBAN_TASK"):
with suppress(Exception):
if hasattr(_signal, "SIGALRM"):
_signal.signal(_signal.SIGALRM, _kill_foreground_and_exit)
_signal.alarm(5)
with suppress(Exception):
# Durable flush FIRST: memory-provider shutdown inside _run_cleanup can issue aux-LLM calls,
# and nothing after it may fail in a way that loses the turn (#88583).
# os._exit(0) skips atexit AND SessionDB's token-drain hook, so flush + finalize the session
# store here or the worker's turn (and its usage deltas) never become durable (#88583 /
# #50881 class). Best-effort under the SIGALRM deadman above.
_flush_one_shot_session_store(cli)
# The one-shot exit's shared_metrics shutdown_runtimes is skipped too: bounded inside the deadman.
from hermes_cli.observability.shared_metrics_process import flush_before_hard_exit
flush_before_hard_exit()
_flush_logging_and_stdio()
_kill_foreground_and_exit()
raise KeyboardInterrupt()
with suppress(Exception): # restricted environments
for _name in ("SIGINT", "SIGTERM", "SIGHUP"):
if hasattr(_signal, _name):
_signal.signal(getattr(_signal, _name), _signal_handler_q)
def _configure_quiet_agent(agent) -> None:
"""Neutralize every stdout-writing callback so -Q stdout carries only the final response."""
agent.quiet_mode = True
agent.suppress_status_output = True
agent.stream_delta_callback = None
agent.tool_gen_callback = None
agent.reasoning_callback = None
# The diff/progress callbacks print directly and are gated by neither quiet_mode nor
# tool_progress_mode, so they must go too; "off" also covers the executor's direct prints.
agent.tool_progress_callback = None
agent.tool_start_callback = None
agent.tool_complete_callback = None
agent.tool_progress_mode = "off"
def _run_single_query_mode(cli, query, image, quiet, oneshot, stream_json: bool = False):
"""``-q``/``--image`` entry: seed an interactive session on a TTY, else run the one-shot turn and exit.
``stream_json`` (implies quiet) swaps the plain-text final answer for the JSONL event protocol."""
from cli import _SeededQueryMessage, _collect_kanban_task_images, _collect_query_images, _configure_quiet_agent, _finalize_single_query, _route_single_query_images, _run_kanban_goal_loop_chat, _run_quiet_single_query, _should_seed_interactive, _single_query_exit_code
if _should_seed_interactive(query, image, quiet, oneshot):
seeded_query, seeded_images = _collect_query_images(query, image)
logger.info(
"Seeding interactive session with -q prompt (%d chars, %d images)",
len(seeded_query or ""), len(seeded_images),
)
cli._seeded_first_message = _SeededQueryMessage(seeded_query, seeded_images)
return cli.run()
cli._single_query_mode = True # agent waits the full MCP cold-start before its only tool snapshot
# No PluginManager._cli_ref (#67597): the turn's plugin tools run in the gateway, and this process
# loads no plugins (PLG-7).
# No user can answer approval prompts: the approval gate takes the deterministic path.
# One-shot mode: no between-turns MCP late-binding refresh, so the agent must wait the full MCP
# cold-start bound before its first (and only) tool snapshot. See #51316.
# Mark single-query for the approval gate. cli.py sets HERMES_INTERACTIVE earlier for interactive sudo
# prompts, but a -q run has NO user waiting to answer approval prompts. The gate reads this marker (via
# gateway.session_context.get_session_env, which falls back to os.environ when the session-context layer
# isn't engaged) and takes the deterministic approvals.single_query_mode path instead of waiting the
# full timeout. See #86878.
os.environ["HERMES_SINGLE_QUERY_SESSION"] = "1"
from hermes_cli.quiet_single_query import exit_single_query
if os.environ.get("HERMES_KANBAN_TASK"):
from tools.kanban_tools import register_current_worker_from_env
if not register_current_worker_from_env():
# No exit trailer: the task log now belongs to the run that replaced this one.
print(t("cli.single_query.kanban_run_reclaimed"), file=sys.stderr)
sys.exit(0)
if not cli._claim_active_session("cli", stderr=bool(quiet)):
exit_single_query(1)
try:
query, single_query_images = _collect_query_images(query, image)
single_query_image_urls = _collect_kanban_task_images(single_query_images)
from hermes_cli.observability.shared_metrics_startup import record_cli_one_shot_ready
record_cli_one_shot_ready()
if quiet:
# Quiet mode: suppress banner, spinner, tool previews.
cli.tool_progress_mode = "off"
emitter = None
if stream_json:
# Built BEFORE credentials/agent init so a failed start still closes the protocol
# (init + result) instead of exiting 1 with an empty stdout.
from hermes_cli.stream_json import StreamJsonEmitter
emitter = StreamJsonEmitter(model=getattr(cli, "model", "") or "", session_id=cli.session_id or "")
if cli._ensure_runtime_credentials():
effective_query: Any = _route_single_query_images(
cli, query, query, single_query_images, single_query_image_urls
)
turn_route = cli._resolve_turn_agent_config(effective_query)
if turn_route["signature"] != cli._active_agent_route_signature:
cli.agent = None
if cli._init_agent(
model_override=turn_route["model"],
runtime_override=turn_route["runtime"],
request_overrides=turn_route.get("request_overrides"),
):
_configure_quiet_agent(cli.agent)
if emitter is not None:
emitter.attach(cli.agent)
_run_quiet_single_query(cli, effective_query, emitter=emitter)
fail_code = _single_query_exit_code(
None, credentials_rate_limited=getattr(cli, "_credentials_rate_limited", False),
credentials_terminal=getattr(cli, "_credentials_terminal", False))
if emitter is not None:
emitter.emit_result({"failed": True, "error": "credentials or agent init failed"},
session_id=cli.session_id or "", exit_code=fail_code)
exit_single_query(fail_code) # credentials or agent init failed
# No welcome banner (~420 ms cold); session id / resume hint come from _print_exit_summary().
_query_label = query or ("[image attached]" if single_query_images else "")
if _query_label:
cli.console.print(f"[bold blue]{t('cli.single_query.query_label')}[/] {_query_label}")
cli._show_security_advisories()
# Same author contract as `-Q`: a dispatcher (the Kanban worker spawn) names who wrote this run's
# prompts. Consumed before the first turn so tool subprocesses never inherit it; every turn of
# the run (recovery and goal follow-ups included) carries it to memory providers.
from agent.turn_author import take_turn_author_from_env
cli._single_query_turn_author = take_turn_author_from_env()
response = cli.chat(query, images=single_query_images or None)
# Kanban worker: a failed-silently turn used to end the run as rc=0 with no
# terminal kanban call, so the dispatcher booked a protocol violation and
# cold-restarted the task from scratch. Retry the authorised turn IN PLACE
# (see agent/kanban_turn_recovery.py) and CARRY THE RECOVERED RESPONSE: the
# goal judge below must evaluate the deliverable of the latest settled turn,
# never the stale provider error of the turn recovery replaced (re-review P2).
from agent.kanban_turn_recovery import recover_failed_kanban_turns
def _nonquiet_recover_turn(nudge):
nonlocal response
response = cli.chat(nudge)
return response
recover_failed_kanban_turns(
_nonquiet_recover_turn,
lambda: getattr(cli, "_last_turn_result", None),
emit=lambda msg: print(msg, file=sys.stderr, flush=True),
)
# Kanban goal_mode on the `-q` path: same judge loop as `-Q`, but each follow-up turn
# runs through cli.chat so the worker log keeps its live tool feed (the dispatcher
# used to force -Q here, which left goal_mode cards with a blank Worker log).
# Gated on the post-recovery disposition exactly like the `-Q` block: a result that
# remains failed/unfinished — recovery exhausted or DENIED (claim lost, quota wall,
# interrupt, terminal settlement) — must reach the shared exit path below with zero
# further model entry, because goal_run_status() checks run identity only and would
# otherwise continue under an authority this process can no longer prove.
if os.environ.get("HERMES_KANBAN_GOAL_MODE") == "1" and _single_query_exit_code(cli._last_turn_result) == 0:
try:
_run_kanban_goal_loop_chat(cli, response or "")
except Exception as _goal_exc:
logger.debug("kanban goal loop failed: %s", _goal_exc)
cli._print_exit_summary(clear_screen=False)
# Same exit contract as `-Q`: scripts and the Kanban dispatcher read the outcome from
# the exit code. This path used to fall through to an implicit 0 for every outcome.
exit_single_query(_single_query_exit_code(
cli._last_turn_result,
credentials_rate_limited=getattr(cli, "_credentials_rate_limited", False),
credentials_terminal=getattr(cli, "_credentials_terminal", False)))
finally:
_finalize_single_query(cli)