Merge branch 'simp/r3-00-cliB' into simp/r3-00

This commit is contained in:
Teknium
2026-09-02 20:07:59 -07:00
5 changed files with 1758 additions and 2197 deletions

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cli.py

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"""chat() and its per-turn phase helpers (image routing, staging, agent thread, interrupt monitor, rendering)
Mixin split out of ``cli.py``; bound onto ``HermesCLI`` via the MRO. cli.py-internal
symbols are imported LAZILY inside each method (``from cli import ...``) — the mixin
never imports ``cli`` at module load time (import cycle).
"""
from __future__ import annotations
import logging
import os
import queue
import sys
import threading
import time
from pathlib import Path
from rich import box as rich_box
from rich.panel import Panel
from typing import Optional
class CLIChatTurnMixin:
"""chat() and its per-turn phase helpers (image routing, staging, agent thread, interrupt monitor, rendering)"""
def chat(self, message, images: list = None, voice_input: bool = False) -> Optional[str]:
"""Run one user turn; returns the agent's response, or None on error.
Input typed while the agent runs goes to ``_interrupt_queue`` (separate
from ``_pending_input`` so process_loop and the interrupt monitor never
compete); an interrupting message is re-queued as the next turn.
``voice_input`` gates the concise voice-response prefix (#65827).
"""
from cli import ChatConsole, _ChatTurn, _DIM, _RST, _accent_hex, _cprint, set_secret_capture_callback
# Single-query and direct chat callers do not go through run().
set_secret_capture_callback(self._secret_capture_callback)
# Reset per turn; only a real interrupt (after run_conversation) flips it,
# so early returns (credential refresh failure, ...) correctly leave it False.
self._last_turn_interrupted = False
if not self._ensure_runtime_credentials():
return None
turn_route = self._resolve_turn_agent_config(message)
if turn_route["signature"] != self._active_agent_route_signature:
self.agent = None
if self.agent is None:
_cprint(f"{_DIM}Initializing agent...{_RST}")
if not self._init_agent(
model_override=turn_route["model"],
runtime_override=turn_route["runtime"],
request_overrides=turn_route.get("request_overrides"),
):
return None
agent = self.agent
if agent is None:
return None
message = self._chat_route_images(message, images)
if isinstance(message, str):
message, blocked = self._chat_expand_context_references(message)
if blocked is not None:
return blocked
# Lone surrogates (clipboard paste from rich-text editors) are invalid
# UTF-8 and crash JSON serialization in the OpenAI SDK.
from run_agent import _sanitize_surrogates
message = _sanitize_surrogates(message)
self._chat_stage_user_message(agent, message)
ChatConsole().print(f"[{_accent_hex()}]{'─' * 40}[/]")
print(flush=True)
turn = _ChatTurn()
try:
self._reset_stream_state()
# Not part of _reset_stream_state: must persist across intermediate
# turn boundaries (tool-calling loops), reset once per user turn.
self._reasoning_shown_this_turn = False
self._chat_setup_turn_audio(turn, message, voice_input)
# Per-prompt elapsed timer — frozen when the agent thread finishes.
self._prompt_start_time = time.time()
self._prompt_duration = 0.0
# Daemon: closing the terminal tab (SIGHUP) must not be kept alive by it.
agent_thread = threading.Thread(
target=self._chat_run_agent, args=(turn, message), daemon=True
)
agent_thread.start()
interrupt_msg = self._chat_monitor_agent_thread(turn, agent_thread)
self._chat_settle_turn(turn)
return self._chat_render_turn(turn, agent_thread, interrupt_msg)
except Exception as e:
print(f"Error: {e}")
return None
finally:
self._chat_release_turn_audio(turn)
if turn.tts_thread is not None and turn.tts_thread.is_alive():
turn.tts_thread.join(timeout=5)
def _chat_release_turn_audio(self, turn):
"""Every exit path: stop the thinking sound, send the TTS sentinel, cut TTS only on abnormal exit, join the worker."""
from cli import logger
# Stop the ambient thinking sound the moment the turn ends —
# every exit path (normal, error, interrupt) lands here.
if turn.thinking_started:
try:
from tools.voice_mode import stop_thinking_sound
stop_thinking_sound()
except Exception:
pass
# Ensure streaming TTS resources are cleaned up even on error.
# Normal path sends the sentinel at line ~3568; this is a safety
# net for exception paths that skip it. Duplicate sentinels are
# harmless — stream_tts_to_speaker exits on the first None.
#
# Only set stop_event on the exception path. On normal exit
# (_tts_normal_exit is True) the pipeline has already drained —
# setting stop_event here would race the playback worker and
# could cut the final sentence mid-audio.
if turn.text_queue is not None:
try:
turn.text_queue.put_nowait(None)
except Exception:
pass
if turn.stop_event is not None and not turn.tts_normal_exit:
logger.info("TTS CUT: exception finally block setting stop_event")
turn.stop_event.set()
def _chat_expand_context_references(self, message: str):
"""Expand ``@file:``/``@diff``/``@folder:`` references.
Returns ``(message, blocked)``; ``blocked`` is the refusal text the turn must
return instead of running when injection was refused, else None.
"""
from cli import _DIM, _RST, _cprint
if "@" not in message:
return message, None
try:
from agent.context_references import preprocess_context_references
from agent.model_metadata import get_model_context_length
_ctx_len = get_model_context_length(
self.model, base_url=self.base_url or "", api_key=self.api_key or "",
provider=self.provider or "",
config_context_length=getattr(self.agent, "_config_context_length", None) if self.agent else None)
_ctx_result = preprocess_context_references(
message, cwd=os.getcwd(), context_length=_ctx_len)
if _ctx_result.expanded or _ctx_result.blocked:
if _ctx_result.references:
_cprint(
f" {_DIM}[@ context: {len(_ctx_result.references)} ref(s), "
f"{_ctx_result.injected_tokens} tokens]{_RST}")
for w in _ctx_result.warnings:
_cprint(f" {_DIM}⚠ {w}{_RST}")
if _ctx_result.blocked:
return message, ("\n".join(_ctx_result.warnings) or "Context injection refused.")
message = _ctx_result.message
except Exception as e:
logging.debug("@ context reference expansion failed: %s", e)
return message, None
def _chat_route_images(self, message, images):
"""Attach images natively (vision model) or pre-describe them as text; returns the message to send.
"native" → OpenAI-style content parts (adapters translate for Anthropic/Gemini/Bedrock).
"text" → vision_analyze each image and prepend the description — works with
non-vision models. Decision table: agent/image_routing.py.
"""
from cli import _DIM, _RST, _cprint, _split_model_config_default
if not images:
return message
text = message if isinstance(message, str) else ""
try:
from agent.image_routing import (
build_native_content_parts,
decide_image_input_mode,
)
from hermes_cli.config import load_config
_img_model = (
_split_model_config_default(self.model)[0]
if isinstance(self.model, dict) else str(self.model or "")
)
_img_provider = (
_split_model_config_default(self.provider)[1]
if isinstance(self.provider, dict) else str(self.provider or "")
)
_img_mode = decide_image_input_mode(
_img_provider.strip(),
_img_model.strip(),
load_config(),
requested_provider=(self.requested_provider or "").strip(),
)
except Exception as _img_exc:
logging.debug("image_routing decision failed, defaulting to text: %s", _img_exc)
_img_mode = "text"
if _img_mode == "native":
try:
_img_str_paths = [str(p) for p in images]
_parts, _skipped = build_native_content_parts(text, _img_str_paths)
if _skipped:
_cprint(
f" {_DIM}⚠ skipped {len(_skipped)} unreadable image path(s){_RST}"
)
if any(p.get("type") == "image_url" for p in _parts):
_img_names = ", ".join(Path(p).name for p in _img_str_paths)
_cprint(
f" {_DIM}📎 attaching {len(images)} image(s) natively "
f"(model supports vision): {_img_names}{_RST}"
)
return _parts
# All images unreadable — fall back to text enrichment.
except Exception as _img_exc:
logging.warning("native image attach failed, falling back to text: %s", _img_exc)
return self._preprocess_images_with_vision(text, images)
def _chat_stage_user_message(self, agent, message):
"""Append the staged user dict to the transcript under the agent's persist lock (see #63766)."""
# Keep the exact CLI input dict available until turn-start persistence.
# Copy the completed agent transcript before appending: otherwise this
# UI-only staging step mutates ``agent._session_messages`` and exposes a
# duplicate-prone intermediate snapshot to terminal-close persistence.
if self.conversation_history is getattr(agent, "_session_messages", None):
self.conversation_history = list(self.conversation_history)
# The prior turn's override applies only to its own user dict. Clear it
# before exposing the next staged input to close persistence; otherwise
# a shutdown before the worker prologue can write old API-local text as
# this new user message (#63766).
import contextlib
from agent.message_metadata import stamp_message_timestamp
persist_lock = getattr(agent, "_session_persist_lock", None)
with persist_lock if persist_lock is not None else contextlib.nullcontext():
agent._persist_user_message_idx = None
agent._persist_user_message_override = None
agent._persist_user_message_timestamp = None
staged_user_message = stamp_message_timestamp(
{"role": "user", "content": message}
)
agent._pending_cli_user_message = staged_user_message
self.conversation_history.append(staged_user_message)
def _chat_setup_turn_audio(self, turn, message, voice_input):
"""Arm the full-duplex listener and the streaming-TTS pipeline for this turn (voice mode only)."""
from cli import HermesCLI, _ACCENT, _RST, _STREAM_PAD, _cprint, datetime
# Full-duplex agent-turn listener (continuous voice mode): arm
# the mic NOW — at utterance-submit — not when TTS playback
# starts. It spans generation (speech interrupts the turn) and
# playback (speech cuts TTS), and disarms itself when the turn
# is fully done. See _voice_full_duplex_listener.
if self._voice_mode and self._voice_continuous:
self._voice_last_tts_text = ""
threading.Thread(
target=self._voice_full_duplex_listener, daemon=True
).start()
# --- Streaming TTS setup ---
# Any working TTS provider streams sentence-by-sentence as the agent
# generates tokens: PCM-streaming providers (ElevenLabs, OpenAI) play
# chunks as they arrive, everything else synthesizes per sentence.
if self._voice_tts:
try:
from tools.tts_tool import (
_import_sounddevice,
check_tts_requirements,
stream_tts_to_speaker,
)
_import_sounddevice()
turn.use_streaming_tts = check_tts_requirements()
except Exception:
pass
if turn.use_streaming_tts:
turn.text_queue = queue.Queue()
turn.stop_event = threading.Event()
# When token streaming is enabled (the common case), the
# CLI's _stream_delta already renders text token-by-token as
# the model generates it. Passing a display_callback here too
# would render every sentence a second time. Only attach the
# callback when streaming is disabled, so the TTS consumer
# becomes the sole display path.
_tts_display_cb = None
if not self.streaming_enabled:
def display_callback(sentence: str):
"""Called by TTS consumer when a sentence is ready to display + speak."""
if not turn.box_opened:
turn.box_opened = True
w = self._scrollback_box_width(getattr(self.console, "width", 80))
label = " ⚕ Hermes "
if self.show_timestamps:
label = f"{label}{datetime.now().strftime(getattr(self, 'timestamp_format', '%H:%M'))} "
fill = w - 2 - HermesCLI._status_bar_display_width(label)
_cprint(f"\n{_ACCENT}╭─{label}{'─' * max(fill - 1, 0)}╮{_RST}")
_cprint(f"{_STREAM_PAD}{sentence.rstrip()}")
_tts_display_cb = display_callback
turn.tts_thread = threading.Thread(
target=stream_tts_to_speaker,
args=(turn.text_queue, turn.stop_event, self._voice_tts_done),
kwargs={"display_callback": _tts_display_cb},
daemon=True,
)
turn.tts_thread.start()
# Expose the pipeline's stop event so barge-in paths (voice
# key, full-duplex listener) can cut playback from outside
# this turn. The full-duplex listener itself was armed at
# turn start (see above) — it spans generation AND playback.
self._voice_tts_stop = turn.stop_event
def stream_callback(delta: str):
if turn.text_queue is not None:
turn.text_queue.put(delta)
# Track what's actually being spoken so a playback-phase
# barge capture can be checked against it (echo guard,
# #75780).
self._voice_last_tts_text = (self._voice_last_tts_text or "") + delta
turn.stream_callback = stream_callback
# When voice mode is active, prepend a brief instruction so the
# model responds concisely. The prefix is API-call-local only —
# run_conversation persists the original clean user message.
if voice_input and isinstance(message, str):
turn.voice_prefix = (
"[Voice input — respond concisely and conversationally, "
"2-3 sentences max. No code blocks or markdown.] "
)
def _chat_run_agent(self, turn, message):
"""Agent-thread body: bind per-thread callbacks/approval key, prepend one-shot notes, run the turn."""
from cli import (
_prepend_note_to_message,
set_approval_callback,
set_secret_capture_callback,
set_sudo_password_callback,
)
# Callbacks are thread-local in terminal_tool (_callback_tls), so the
# main-thread registration in run() is invisible here — re-register.
set_sudo_password_callback(self._sudo_password_callback)
set_approval_callback(self._approval_callback)
try:
set_secret_capture_callback(self._secret_capture_callback)
except Exception:
pass
# Bind this turn's approval session key so
# ``tools.approval.is_current_session_yolo_enabled()`` resolves against
# the same key ``/yolo`` toggles under (``enable_session_yolo(self.session_id)``).
try:
from tools.approval import (
reset_current_session_key,
set_current_session_key,
)
_approval_session_token = set_current_session_key(
self.session_id or "default"
)
except Exception:
reset_current_session_key = None # type: ignore[assignment]
_approval_session_token = None
agent_message = turn.voice_prefix + message if turn.voice_prefix else message
# One-shot /model and /reload-skills notes. _prepend_note_to_message
# handles multimodal content-part lists too (a naive string concat
# raised TypeError when an image was attached).
for _note_attr in ("_pending_model_switch_note", "_pending_skills_reload_note"):
_note = getattr(self, _note_attr, None)
if _note:
agent_message = _prepend_note_to_message(agent_message, _note)
setattr(self, _note_attr, None)
# Barged mid-speech (VAD or record key)? Tell the model it was cut off.
from tools.tts_streaming import SPEECH_INTERRUPTED_NOTE, take_speech_interrupted
if take_speech_interrupted():
agent_message = _prepend_note_to_message(agent_message, SPEECH_INTERRUPTED_NOTE)
_moa_cfg = getattr(self, "_pending_moa_config", None)
self._pending_moa_config = None
# Notes and voice instructions are API-local: the original staged input
# stays the durable transcript value so a close-path marker follows the
# same dict instead of producing a second noted user row (#63766).
_persist_clean_user_message = (
message if (turn.voice_prefix or agent_message != message) else None
)
_one_turn_model_restore = getattr(
self, "_pending_one_turn_model_restore", None
)
self._pending_one_turn_model_restore = None
try:
turn.result = self.agent.run_conversation(
user_message=agent_message,
conversation_history=self.conversation_history[:-1], # Exclude the message we just added
stream_callback=turn.stream_callback,
task_id=self.session_id,
persist_user_message=_persist_clean_user_message,
moa_config=_moa_cfg,
)
if getattr(self, "_pending_moa_disable_after_turn", False):
_restore = getattr(self, "_pending_moa_restore_model", None) or {}
for _key, _value in _restore.items():
if _value is not None:
setattr(self, _key, _value)
self.agent = None
self._pending_moa_restore_model = None
self._pending_moa_disable_after_turn = False
except Exception as exc:
logging.error("run_conversation raised: %s", exc, exc_info=True)
_summary = getattr(self.agent, '_summarize_api_error', lambda e: str(e)[:300])(exc)
turn.result = {
"final_response": f"Error: {_summary}",
"messages": [],
"api_calls": 0,
"completed": False,
"failed": True,
"error": _summary,
}
finally:
if _one_turn_model_restore:
self._restore_model_runtime_snapshot(_one_turn_model_restore)
# Credit notices queued during the turn paint cleanly above the
# prompt at this boundary instead of behind the streaming output.
self._flush_credit_notices()
# Clear thread-local callbacks so a reused thread never holds stale
# references to a disposed CLI instance.
try:
set_sudo_password_callback(None)
set_approval_callback(None)
set_secret_capture_callback(None)
except Exception:
pass
# Unbind the per-turn approval key (``_session_yolo`` state itself
# persists across turns so /yolo lasts the whole CLI run).
if _approval_session_token is not None and reset_current_session_key is not None:
try:
reset_current_session_key(_approval_session_token)
except Exception:
pass
def _chat_monitor_agent_thread(self, turn, agent_thread):
"""Poll the interrupt queue while the agent thread runs; returns the interrupting message (or None)."""
from cli import _hermes_home, logger
# Ambient "thinking" blips while the agent works in voice mode with no
# audio flowing; skipped per-blip while TTS speaks, the mic records or a
# barge capture is live. voice.thinking_sound gates it (default on).
if self._voice_mode:
try:
from tools.voice_mode import start_thinking_sound
turn.thinking_started = start_thinking_sound(
should_play=lambda: (
self._voice_tts_done.is_set()
and not self._voice_recording
and not self._voice_barge_capture.is_set()
)
)
except Exception:
turn.thinking_started = False
interrupt_msg = None
while agent_thread.is_alive():
if hasattr(self, '_interrupt_queue'):
try:
interrupt_msg = self._interrupt_queue.get(timeout=0.1)
if interrupt_msg:
# While a clarify question is active the Enter binding
# routes input to the clarify queue; anything landing here
# is a race — don't interrupt, park it as the next turn.
if self._clarify_state or self._clarify_freetext:
try:
self._pending_input.put(interrupt_msg)
except Exception:
pass
interrupt_msg = None
continue
print("\n⚡ New message detected, interrupting...")
# Signal TTS to stop on interrupt
if turn.stop_event is not None:
turn.stop_event.set()
self.agent.interrupt(interrupt_msg)
# approval/clarify/sudo/secret prompts gate input until
# explicitly reset — without this the CLI freezes after an
# interrupt until the prompt's own timeout (#14026).
self._clear_active_overlays_for_interrupt()
# Debug: log to file (stdout may be devnull from redirect_stdout)
try:
_dbg = _hermes_home / "interrupt_debug.log"
with open(_dbg, "a", encoding="utf-8") as _f:
_f.write(f"{time.strftime('%H:%M:%S')} interrupt fired: msg={str(interrupt_msg)[:60]!r}, "
f"children={len(self.agent._active_children)}, "
f"parent._interrupt={self.agent._interrupt_requested}\n")
for _ci, _ch in enumerate(self.agent._active_children):
_f.write(f" child[{_ci}]._interrupt={_ch._interrupt_requested}\n")
except Exception:
pass
break
except queue.Empty:
# Flush the StdoutProxy buffer: it otherwise only flushes on
# input-triggered renderer passes, so on macOS the CLI looks
# frozen until the user types (#1624).
self._invalidate(min_interval=0.15)
else:
# Fallback for non-interactive mode (e.g., single-query)
agent_thread.join(0.1)
if interrupt_msg is not None:
# After an interrupt the agent may take seconds to clean up (kill
# subprocess, persist). Poll instead of a blocking join so another
# interrupt (Ctrl+C sets _should_exit) or a stuck agent can't freeze
# us; the thread is daemon and dies on process exit regardless.
for _wait_tick in range(50): # 50 * 0.2s = 10s max
agent_thread.join(timeout=0.2)
if not agent_thread.is_alive() or getattr(self, '_should_exit', False):
break
if agent_thread.is_alive():
logger.warning(
"Agent thread still alive after interrupt "
"(thread %s). Daemon thread will be cleaned up "
"on exit.",
agent_thread.ident,
)
else:
agent_thread.join(timeout=30) # should be done already; guard edge cases
return interrupt_msg
def _chat_settle_turn(self, turn):
"""After the agent thread ends: freeze timers, flush streams, drain TTS, sync history/session id."""
# Freeze the per-prompt timer (thread exited or abandoned after interrupt).
if self._prompt_start_time is not None:
self._prompt_duration = max(0.0, time.time() - self._prompt_start_time)
self._prompt_start_time = None
self._last_turn_finished_at = time.time() # status bar idle time
# AsyncOpenAI clients the agent thread bound to a now-closed per-thread
# loop would crash prompt_toolkit's loop from __del__ on GC.
try:
from agent.auxiliary_client import cleanup_stale_async_clients
cleanup_stale_async_clients()
except Exception:
pass
# Flush any remaining streamed text and close the box
self._flush_stream()
if turn.use_streaming_tts and turn.text_queue is not None:
turn.text_queue.put(None) # end-of-text sentinel
if turn.tts_thread is not None:
turn.tts_thread.join(timeout=120)
# Only a thread that actually finished counts as a normal exit; if the
# join timed out, leave it False so the finally block's stop_event
# kills the runaway worker.
if turn.tts_thread is not None and not turn.tts_thread.is_alive():
turn.tts_normal_exit = True
# Drain the StdoutProxy buffer so tool/status lines render ABOVE the
# response box; the sleep lets the renderer paint before we draw.
sys.stdout.flush()
time.sleep(0.15)
self.conversation_history = turn.result.get("messages", self.conversation_history) if turn.result else self.conversation_history
# Mid-turn auto-compression creates a continuation session and mutates
# self.agent.session_id; sync so /status, /resume, titling and the exit
# summary target the live child rather than the ended parent.
if (
self.agent
and getattr(self.agent, "session_id", None)
and self.agent.session_id != self.session_id
):
self._transfer_session_yolo(self.session_id, self.agent.session_id)
self.session_id = self.agent.session_id
getattr(self, "_write_terminal_breadcrumb", lambda: None)()
self._pending_title = None
def _chat_render_turn(self, turn, agent_thread, interrupt_msg):
"""Post-turn display: error/interrupt handling, reasoning + response panels, bell, re-queues. Returns the response text."""
from cli import _DIM, _RST, _cprint, _suspend_output_history
# Get the final response
response = turn.result.get("final_response", "") if turn.result else ""
# (Session titling runs at TURN START in agent/turn_context.py, so a
# failed/interrupted turn does not need a final response for it.)
# "failed" or "partial" with an empty final_response: no usable answer.
if turn.result and (turn.result.get("failed") or turn.result.get("partial")) and not response:
error_detail = turn.result.get("error", "Unknown error")
response = f"Error: {error_detail}"
# Stop continuous voice mode on persistent errors (e.g. 429 rate limit)
# to avoid an infinite error → record → error loop
if self._voice_continuous:
self._voice_continuous = False
_cprint(f"\n{_DIM}Continuous voice mode stopped due to error.{_RST}")
pending_message, _show_interrupt_marker = self._chat_resolve_interrupt(turn, agent_thread, interrupt_msg, response)
response_previewed = turn.result.get("response_previewed", False) if turn.result else False
self._chat_print_reasoning_box(turn)
self._chat_print_response_panel(turn, response, response_previewed)
# #60920: history suppressed so the marker is never recorded in
# _OUTPUT_HISTORY (appending it to `response` duplicated it on redraw).
if _show_interrupt_marker:
with _suspend_output_history():
_cprint(f"\n{_DIM}── [Interrupted — processing new message] ──{_RST}")
# Focus view: "⋯ N tool lines hidden" after the answer; resets the counter.
try:
self._emit_focus_recovery_line()
except Exception:
pass
self._ring_bell(context="turn complete") # propagates over SSH
if turn.result and not turn.result.get("completed") and not turn.result.get("interrupted"):
_api_calls = turn.result.get("api_calls", 0)
if _api_calls >= getattr(self.agent, "max_iterations", 500):
_max_iter = getattr(self.agent, "max_iterations", 500)
_cprint(
f"\n{_DIM}⚠ Iteration budget reached "
f"({_api_calls}/{_max_iter}) — "
f"response may be incomplete{_RST}"
)
# Batch TTS unless streaming TTS already spoke the response.
if self._voice_tts and response and not turn.use_streaming_tts:
self._voice_speak_response_async(response)
# Re-queue the interrupt message (plus any that arrived meanwhile) as
# the next prompt. Only reached in busy_input_mode == "interrupt"; in
# "queue" mode Enter routes straight to _pending_input.
if pending_message and hasattr(self, '_pending_input'):
all_parts = [pending_message]
while not self._interrupt_queue.empty():
try:
extra = self._interrupt_queue.get_nowait()
if extra:
all_parts.append(extra)
except queue.Empty:
break
combined = "\n".join(all_parts)
n = len(all_parts)
preview = combined[:50] + ("..." if len(combined) > 50 else "")
if n > 1:
print(f"\n⚡ Sending {n} messages after interrupt: '{preview}'")
else:
print(f"\n⚡ Sending after interrupt: '{preview}'")
self._pending_input.put(combined)
# If a /steer was left over (agent finished before another tool
# batch could absorb it), deliver it as the next user turn.
_leftover_steer = turn.result.get("pending_steer") if turn.result else None
if _leftover_steer and hasattr(self, '_pending_input'):
preview = _leftover_steer[:60] + ("..." if len(_leftover_steer) > 60 else "")
print(f"\n⏩ Delivering leftover /steer as next turn: '{preview}'")
self._pending_input.put(_leftover_steer)
return response
def _chat_resolve_interrupt(self, turn, agent_thread, interrupt_msg, response):
"""Decide the re-queued interrupt message and whether to print the interrupt marker; clears a stale agent interrupt flag."""
# Handle interrupt - check if we were interrupted
pending_message = None
_show_interrupt_marker = False
_interrupted_this_turn = bool(turn.result and turn.result.get("interrupted"))
# Expose the flag for post-turn hooks (e.g. goal continuation)
# so they can skip themselves when the turn was user-cancelled.
self._last_turn_interrupted = _interrupted_this_turn
if _interrupted_this_turn:
pending_message = turn.result.get("interrupt_message") or interrupt_msg
# #60920: Don't append the interruption marker to response so it
# is never recorded in _OUTPUT_HISTORY by the Panel rendering
# below. The marker is printed separately with _suspend_output_history
# after the response Panel to preserve the visual while avoiding
# duplicates on terminal redraw (_recover_terminal_after_interrupt).
_show_interrupt_marker = bool(response and pending_message)
elif interrupt_msg:
# We fired agent.interrupt(interrupt_msg) but the turn result
# doesn't acknowledge it. Two ways this happens, both racy:
# 1. The agent thread had already passed its last interrupt
# check (or finished) when the interrupt landed — the turn
# completed normally and finalize_turn() never saw the flag.
# 2. The 10s post-interrupt wait above expired and we
# abandoned the daemon thread; `result` is still None.
# In both cases the user's message must NOT be dropped —
# re-queue it as the next turn (#interrupt-vacuumed-into-void).
pending_message = interrupt_msg
# If the interrupt landed after finalize_turn()'s
# clear_interrupt(), the stale flag would instantly abort the
# NEXT turn at its first loop check. Clear it now that we've
# claimed the message — but ONLY if the agent thread actually
# exited. If it's still alive (abandoned after the 10s wait),
# the flag is what makes the wedged tool eventually unwind;
# clearing it would un-signal that thread.
try:
if (
not agent_thread.is_alive()
and self.agent
and getattr(self.agent, "_interrupt_requested", False)
):
self.agent.clear_interrupt()
except Exception:
pass
return pending_message, _show_interrupt_marker
def _chat_print_reasoning_box(self, turn):
"""Collapsed reasoning box when show_reasoning is on and streaming did not already show it this turn."""
from cli import _DIM, _RST, _cprint
# Display reasoning (thinking) box if enabled and available.
# Skip when streaming already showed reasoning live. Use the
# turn-persistent flag (_reasoning_shown_this_turn) instead of
# _reasoning_stream_started — the latter gets reset during
# intermediate turn boundaries (tool-calling loops), which caused
# the reasoning box to re-render after the final response.
_reasoning_already_shown = getattr(self, '_reasoning_shown_this_turn', False)
if self.show_reasoning and turn.result and not _reasoning_already_shown:
reasoning = turn.result.get("last_reasoning")
if reasoning:
w = self._scrollback_box_width()
r_label = " Reasoning "
r_fill = w - 2 - len(r_label)
r_top = f"{_DIM}┌─{r_label}{'─' * max(r_fill - 1, 0)}┐{_RST}"
r_bot = f"{_DIM}└{'─' * (w - 2)}┘{_RST}"
# Collapse long reasoning to the first 10 lines unless the
# user opted into full display via /reasoning full.
lines = reasoning.strip().splitlines()
if len(lines) > 10 and not getattr(self, "reasoning_full", False):
display_reasoning = "\n".join(lines[:10])
display_reasoning += f"\n{_DIM} ... ({len(lines) - 10} more lines — /reasoning full to show){_RST}"
else:
display_reasoning = reasoning.strip()
_cprint(f"\n{r_top}\n{_DIM}{display_reasoning}{_RST}\n{r_bot}")
def _chat_print_response_panel(self, turn, response, response_previewed):
"""Response box: close the TTS-drawn box, print the post-stream transform, or render the Rich Panel; then the billing CTA."""
from cli import (
ChatConsole,
_ACCENT,
_RST,
_cprint,
_maybe_remap_for_light_mode,
_post_stream_transform_output,
_render_final_assistant_content,
)
if response and not response_previewed:
# Use skin engine for label/color with fallback
try:
from hermes_cli.skin_engine import get_active_skin
_skin = get_active_skin()
label = _skin.get_branding("response_label", "⚕ Hermes")
_resp_color = _maybe_remap_for_light_mode(_skin.get_color("response_border", "#CD7F32"))
_resp_text = _maybe_remap_for_light_mode(_skin.get_color("banner_text", "#FFF8DC"))
except Exception:
label = "⚕ Hermes"
_resp_color = _maybe_remap_for_light_mode("#CD7F32")
_resp_text = _maybe_remap_for_light_mode("#FFF8DC")
is_error_response = turn.result and (turn.result.get("failed") or turn.result.get("partial"))
already_streamed = self._stream_started and self._stream_box_opened and not is_error_response
if turn.use_streaming_tts and turn.box_opened and not is_error_response:
# Text was already printed sentence-by-sentence; just close the box
w = self._scrollback_box_width()
_cprint(f"\n{_ACCENT}╰{'─' * (w - 2)}╯{_RST}")
elif already_streamed:
# Response was already streamed token-by-token with box framing;
# _flush_stream() already closed the box. Skip Rich Panel.
# A transform hook runs after streaming. Show a suffix for
# append-only changes, or the complete replacement otherwise.
_post_stream_text = _post_stream_transform_output(response, turn.result)
if _post_stream_text.strip():
_cprint(_post_stream_text)
else:
_chat_console = ChatConsole()
_chat_console.print(Panel(
_render_final_assistant_content(response, mode=self.final_response_markdown),
title=f"[{_resp_color} bold]{label}[/]",
title_align="left",
border_style=_resp_color,
style=_resp_text,
box=rich_box.HORIZONTALS,
padding=(1, 0),
width=self._scrollback_box_width(),
))
# Durable, provider-agnostic billing CTA below the response. The
# response panel carries the full guidance; this pins the single
# action to take (Nous → /topup, other providers → their billing
# page) so it stays visible instead of scrolling away as prose.
if turn.result and turn.result.get("failure_reason") == "billing":
_bb = turn.result.get("billing_block") or {}
_prov_label = _bb.get("provider_label") or "your provider"
if _bb.get("is_nous"):
_cta_lines = [
"Run [bold]/topup[/] to add credits, or "
"[bold]/subscription[/] to change plan.",
]
else:
_url = _bb.get("billing_url")
_cta_lines = [
f"Add credits with {_prov_label}"
+ (f": [bold]{_url}[/]" if _url else ".")
]
_cta_lines.append(
"Or switch providers with "
"[bold]/model <model> --provider <provider>[/]."
)
try:
ChatConsole().print(Panel(
"\n".join(_cta_lines),
title="[#CD7F32 bold]⚡ Out of credits[/]",
title_align="left",
border_style="#CD7F32",
box=rich_box.HORIZONTALS,
padding=(1, 4),
width=self._scrollback_box_width(),
))
except Exception:
pass

View File

@@ -226,16 +226,3 @@ class TestPersonalityDictFormat:
with patch("hermes_cli.personality.persist_personality", return_value=True):
cli._handle_personality_command("/personality helper")
assert cli.system_prompt == "You are helpful."
def test_resolve_prompt_dict_no_tone_no_style(self):
from cli import HermesCLI
result = HermesCLI._resolve_personality_prompt({
"description": "A helper",
"system_prompt": "You are helpful.",
})
assert result == "You are helpful."
def test_resolve_prompt_string(self):
from cli import HermesCLI
result = HermesCLI._resolve_personality_prompt("You are helpful.")
assert result == "You are helpful."

View File

@@ -93,8 +93,8 @@ class TestFinallyBlockWiring:
"""
def test_recovery_is_invoked_behind_interrupt_guard(self):
# process_loop is the REPL worker thread body (HermesCLI._tui_process_loop).
src = inspect.getsource(HermesCLI._tui_process_loop)
# process_loop's post-turn finally block is HermesCLI._tui_after_turn.
src = inspect.getsource(HermesCLI._tui_after_turn)
# The recovery call must be gated on _last_turn_interrupted so it only
# fires after an actual interrupt, not on every normal turn.
guard = re.search(

View File

@@ -24,12 +24,19 @@ _QUIET_ANCHOR = "# Quiet mode: suppress banner, spinner, tool previews."
def _quiet_branch() -> str:
"""Return the source slice of the quiet single-query branch."""
"""Return the source of the quiet single-query branch.
The callback neutralizations live in ``_configure_quiet_agent`` (called from
the quiet branch of ``_run_single_query_mode``); the branch itself is the
window from the quiet-mode anchor to the ``_run_quiet_single_query`` hand-off.
"""
import inspect
source = Path(cli_mod.__file__).read_text(encoding="utf-8")
start = source.index(_QUIET_ANCHOR)
# A generous window covers the whole branch body up to the
# run_conversation call and beyond.
return source[start : start + 8000]
branch = source[start : start + 8000]
helper = inspect.getsource(cli_mod._configure_quiet_agent).replace("agent.", "cli.agent.")
return helper + branch
def test_quiet_branch_clears_reasoning_callback():
@@ -98,7 +105,9 @@ def test_quiet_branch_neutralizations_precede_run_conversation():
import inspect
assert "run_conversation(" in inspect.getsource(cli_mod._run_quiet_single_query)
assert "_configure_quiet_agent(cli.agent)" in branch
run_idx = branch.index("_run_quiet_single_query(cli,")
assert branch.index("_configure_quiet_agent(cli.agent)") < run_idx
for attr in (
"cli.agent.reasoning_callback = None",
"cli.agent.tool_progress_callback = None",