feat(voice): route wake phrases to their profile — "hey <profile>" wakes that profile

One sherpa listener now enrolls every wake-enabled profile's phrase
(defaulting to "hey <profile name>") and reports WHICH phrase fired.
wake.detected gains a profile field; the desktop live-switches to the
matching profile (same path as the profile rail), opens a fresh session
there, and starts hands-free voice. The single-profile CLI/TUI print the
hermes -p switch command for foreign-profile phrases instead of
answering as the wrong profile. Opt out per listener with
wake_word.profile_routing: false.
This commit is contained in:
Hermes Agent 2026-07-24 09:52:00 -07:00 committed by Teknium
parent 567f47f01f
commit 2a35c8f0b8
No known key found for this signature in database
10 changed files with 274 additions and 16 deletions

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@ -34,7 +34,7 @@ import { requestVoiceConversationStart } from '@/store/composer'
import { setCronFocusJobId } from '@/store/cron'
import { $pinnedSessionIds, pinSession, restoreWorktree, unpinSession } from '@/store/layout'
import { $previewTarget } from '@/store/preview'
import { $activeGatewayProfile, $freshSessionRequest, $profileScope, refreshActiveProfile } from '@/store/profile'
import { $activeGatewayProfile, $freshSessionRequest, $profileScope, ensureGatewayProfile, newSessionInProfile, normalizeProfileKey, refreshActiveProfile } from '@/store/profile'
import { $startWorkSessionRequest, followActiveSessionCwd } from '@/store/projects'
import {
$activeSessionId,
@ -666,9 +666,24 @@ export function ContribWiring({ children }: { children: ReactNode }) {
emitGatewayEvent(event)
if (event.type === 'wake.detected') {
const payload = event.payload as { start_new_session?: boolean } | undefined
const payload = event.payload as
| { profile?: null | string; start_new_session?: boolean }
| undefined
if (payload?.start_new_session !== false) {
// Multi-profile routing: a wake phrase enrolled by another profile
// re-homes the gateway to that profile first (live swap — same path
// as clicking it in the profile rail), then opens the fresh session
// and starts voice there.
const targetProfile = payload?.profile?.trim()
const activeProfile = normalizeProfileKey($activeGatewayProfile.get())
if (targetProfile && normalizeProfileKey(targetProfile) !== activeProfile) {
if (payload?.start_new_session !== false) {
newSessionInProfile(targetProfile)
} else {
void ensureGatewayProfile(normalizeProfileKey(targetProfile))
}
} else if (payload?.start_new_session !== false) {
startFreshSessionDraft()
}

16
cli.py
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@ -12278,6 +12278,22 @@ class HermesCLI(CLIAgentSetupMixin, CLICommandsMixin, CLIBillingMixin):
return
self._wake_suspended = True
# Multi-profile routing: the CLI is a single-profile process, so a
# phrase enrolled by ANOTHER profile can't be routed here — print the
# switch command and re-arm rather than answering as the wrong profile.
try:
from tools.wake_word import get_last_match
_match = get_last_match()
except Exception:
_match = None
if _match and _match[1]:
from tools.wake_word import _active_profile_name
if _match[1] != _active_profile_name():
_cprint(f"\n{_DIM}Wake phrase for profile '{_match[1]}'"
f"run: hermes -p {_match[1]}{_RST}")
self._wake_suspended = True # watchdog resumes the listener
return
_cprint(f"\n{_ACCENT}✦ Wake word detected — listening...{_RST}")
if getattr(self, "_app", None):
try:

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@ -2384,6 +2384,7 @@ DEFAULT_CONFIG = {
"phrase": "hey hermes", # for "sherpa" this IS the detected phrase (any text works); for other engines it's a cosmetic label — detection is keyed by the model/keyword below
"sensitivity": 0.5, # 0.0-1.0 detection threshold (higher = stricter)
"start_new_session": True, # start a fresh session on wake vs. continue the current one
"profile_routing": True, # sherpa only: also listen for every wake-enabled profile's phrase and route the wake to the matching profile
"openwakeword": {
# "hey_hermes" (the bundled, works-out-of-the-box default) OR a
# built-in openWakeWord name ("hey_jarvis", "alexa", "hey_mycroft",

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@ -1426,7 +1426,7 @@ def test_wake_owner_is_sticky_and_routes_detection_to_first_transport(monkeypatc
assert emitted == [(
"wake.detected",
"first-session",
{"phrase": "hey hermes", "start_new_session": True},
{"phrase": "hey hermes", "profile": None, "start_new_session": True},
first,
)]
assert state["paused"] is True
@ -1459,7 +1459,7 @@ def test_wake_owner_is_sticky_and_routes_detection_to_first_transport(monkeypatc
assert emitted[-1] == (
"wake.detected",
"second-session",
{"phrase": "hey hermes", "start_new_session": True},
{"phrase": "hey hermes", "profile": None, "start_new_session": True},
second,
)

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@ -302,6 +302,106 @@ def test_sherpa_requirements_probe_uses_sherpa_feature(monkeypatch):
assert r["phrase"] == "anything at all"
# ── Multi-profile phrase routing ─────────────────────────────────────────
def test_sherpa_engine_enrolls_all_profile_phrases(monkeypatch, tmp_path):
calls, model_dir = _install_fake_sherpa(monkeypatch, tmp_path)
monkeypatch.setattr(ww, "_active_profile_name", lambda: "default")
monkeypatch.setattr(
ww, "enrolled_profile_phrases",
lambda: {"coder": "hey coder", "trader": "hey trader"},
)
eng = ww._SherpaKwsEngine({
"provider": "sherpa", "phrase": "hey hermes",
"sherpa": {"model_dir": str(model_dir)},
})
with open(eng._keywords_file, encoding="utf-8") as f:
lines = f.read().strip().splitlines()
assert len(lines) == 3
assert eng._display_to_profile == {
"HEY_HERMES": "default",
"HEY_CODER": "coder",
"HEY_TRADER": "trader",
}
eng.close()
def test_sherpa_engine_profile_routing_can_be_disabled(monkeypatch, tmp_path):
calls, model_dir = _install_fake_sherpa(monkeypatch, tmp_path)
monkeypatch.setattr(ww, "_active_profile_name", lambda: "default")
monkeypatch.setattr(
ww, "enrolled_profile_phrases", lambda: {"coder": "hey coder"}
)
eng = ww._SherpaKwsEngine({
"provider": "sherpa", "phrase": "hey hermes", "profile_routing": False,
"sherpa": {"model_dir": str(model_dir)},
})
assert eng._display_to_profile == {"HEY_HERMES": "default"}
eng.close()
def test_sherpa_engine_match_maps_back_to_profile(monkeypatch, tmp_path):
calls, model_dir = _install_fake_sherpa(monkeypatch, tmp_path)
monkeypatch.setattr(ww, "_active_profile_name", lambda: "default")
monkeypatch.setattr(
ww, "enrolled_profile_phrases", lambda: {"coder": "hey coder"}
)
eng = ww._SherpaKwsEngine({
"provider": "sherpa", "phrase": "hey hermes",
"sherpa": {"model_dir": str(model_dir)},
})
frame = [0] * eng.frame_length
calls["results"].append("HEY_CODER")
assert eng.process(frame) is True
assert eng.last_match == ("hey coder", "coder")
calls["results"].append("HEY_HERMES")
assert eng.process(frame) is True
assert eng.last_match == ("hey hermes", "default")
def test_enrolled_profile_phrases_reads_profile_configs(monkeypatch, tmp_path):
profiles_root = tmp_path / "profiles"
for name, body in (
("coder", "wake_word:\n enabled: true\n phrase: hey coder\n"),
("trader", "wake_word:\n enabled: true\n"), # phrase defaults
("quiet", "wake_word:\n enabled: false\n"), # not enrolled
("empty", ""), # no wake_word at all
):
d = profiles_root / name
d.mkdir(parents=True)
(d / "config.yaml").write_text(body, encoding="utf-8")
class _Info:
def __init__(self, name):
self.name = name
import types as _types
fake_profiles = _types.ModuleType("hermes_cli.profiles")
fake_profiles.list_profiles = lambda: [
_Info(p.name) for p in sorted(profiles_root.iterdir())
]
fake_profiles.get_profile_dir = lambda name: str(profiles_root / name)
fake_profiles.get_active_profile_name = lambda: "default"
monkeypatch.setitem(sys.modules, "hermes_cli.profiles", fake_profiles)
phrases = ww.enrolled_profile_phrases()
assert phrases == {"coder": "hey coder", "trader": "hey trader"}
def test_get_last_match_reads_detector_engine(monkeypatch):
class _Eng:
last_match = ("hey coder", "coder")
class _Det:
engine = _Eng()
monkeypatch.setattr(ww, "_detector", _Det())
assert ww.get_last_match() == ("hey coder", "coder")
monkeypatch.setattr(ww, "_detector", None)
assert ww.get_last_match() is None
# ── Detector loop ────────────────────────────────────────────────────────

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@ -127,6 +127,52 @@ def wake_surface_enabled(surface: str, cfg: Optional[Dict[str, Any]] = None) ->
return want == "auto" or want == surface.strip().lower()
# ---------------------------------------------------------------------------
# Multi-profile phrase enrollment (open-vocabulary routing)
# ---------------------------------------------------------------------------
def _active_profile_name() -> str:
try:
from hermes_cli.profiles import get_active_profile_name
return get_active_profile_name() or "default"
except Exception:
return "default"
def enrolled_profile_phrases() -> Dict[str, str]:
"""Map ``profile name -> wake phrase`` for every wake-enabled profile.
Reads each profile's own ``config.yaml`` raw (cheap, no full config merge).
A profile is enrolled when its ``wake_word.enabled`` is truthy; its phrase
defaults to ``"hey <profile>"`` when unset. Used by the sherpa engine to
listen for every enrolled profile's phrase at once and route the wake to
the matching profile. Best-effort: unreadable profiles are skipped.
"""
phrases: Dict[str, str] = {}
try:
import yaml
from hermes_cli.profiles import get_profile_dir, list_profiles
for info in list_profiles():
name = getattr(info, "name", None) or str(info)
try:
cfg_path = Path(get_profile_dir(name)) / "config.yaml"
raw = yaml.safe_load(cfg_path.read_text(encoding="utf-8")) or {}
wc = raw.get("wake_word") or {}
if not isinstance(wc, dict) or not wc.get("enabled"):
continue
phrase = str(wc.get("phrase") or f"hey {name}").strip()
if phrase:
phrases[name] = phrase
except Exception:
continue
except Exception:
pass
return phrases
# ---------------------------------------------------------------------------
# Audio capture (lazy — never import sounddevice at module load)
# ---------------------------------------------------------------------------
@ -155,6 +201,12 @@ class _Engine:
frame_length: int = 1280 # 80 ms at 16 kHz
#: Optional (matched phrase, profile name) of the most recent fire.
#: Multi-phrase engines (sherpa) set this for profile routing; the
#: single-phrase engines leave it None (callers fall back to the
#: configured phrase / active profile).
last_match: Optional[tuple[str, str]] = None
def process(self, frame) -> bool: # frame: 1-D int16 ndarray
raise NotImplementedError
@ -292,24 +344,41 @@ class _SherpaKwsEngine(_Engine):
if not (d / "tokens.txt").exists():
raise RuntimeError(f"sherpa KWS model not found at {d}")
# Phrase set: this profile's own phrase, plus — when profile routing is
# on — every other wake-enabled profile's phrase, so ONE listener can
# wake any profile ("hey hermes" / "hey coder" / ...). display-name →
# profile is kept for routing the match back.
phrase = str(_get(cfg, "phrase") or "hey hermes").strip()
# Runtime tokenization of the arbitrary phrase — the open-vocab core.
# sherpa keyword entries reject spaces in the @display-name; underscore it.
own_profile = _active_profile_name()
phrase_map: Dict[str, str] = {phrase: own_profile}
if bool(cfg.get("profile_routing", True)):
for prof, p in enrolled_profile_phrases().items():
phrase_map.setdefault(p.strip(), prof)
phrases = list(phrase_map)
# Runtime tokenization of the arbitrary phrases — the open-vocab core.
tokens = text2token(
[phrase.upper()],
[p.upper() for p in phrases],
tokens=str(d / "tokens.txt"),
tokens_type="bpe",
bpe_model=str(d / "bpe.model"),
)
import tempfile
# sherpa keyword entries reject spaces in the @display-name; underscore
# them and map display → profile for match routing.
self._display_to_profile: Dict[str, str] = {}
kw = tempfile.NamedTemporaryFile(
mode="w", suffix=".txt", prefix="hermes-kws-", delete=False, encoding="utf-8"
)
display = phrase.upper().replace(" ", "_")
kw.write(" ".join(tokens[0]) + f" @{display}\n")
for p, toks in zip(phrases, tokens):
display = p.upper().replace(" ", "_")
self._display_to_profile[display] = phrase_map[p]
kw.write(" ".join(toks) + f" @{display}\n")
kw.close()
self._keywords_file = kw.name
#: (phrase display name, profile) of the most recent fire, for routing.
self.last_match: Optional[tuple[str, str]] = None
# Map the shared 0..1 sensitivity onto sherpa's keywords_threshold
# (posterior probability; its default is 0.25).
@ -340,8 +409,14 @@ class _SherpaKwsEngine(_Engine):
fired = False
while self._spotter.is_ready(self._stream):
self._spotter.decode_stream(self._stream)
if self._spotter.get_result(self._stream):
result = self._spotter.get_result(self._stream)
if result:
fired = True
display = str(result)
self.last_match = (
display.replace("_", " ").lower(),
self._display_to_profile.get(display, ""),
)
# Reset decoder state so one utterance can't fire repeatedly.
self._spotter.reset_stream(self._stream)
return fired
@ -774,3 +849,13 @@ def is_listening() -> bool:
with _detector_lock:
det = _detector
return det is not None and det.running
def get_last_match() -> Optional[tuple[str, str]]:
"""(matched phrase, profile) of the most recent wake fire, if the engine
reports per-phrase matches (sherpa multi-profile routing). None otherwise."""
with _detector_lock:
det = _detector
if det is None:
return None
return getattr(det.engine, "last_match", None)

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@ -17703,7 +17703,7 @@ def _(rid, params: dict) -> dict:
new_session = bool(cfg.get("start_new_session", True))
def _on_detect() -> None:
from tools.wake_word import owns_listener, pause_listening
from tools.wake_word import get_last_match, owns_listener, pause_listening
if not pause_listening(owner=transport):
return
@ -17712,12 +17712,18 @@ def _(rid, params: dict) -> dict:
if _transport_is_dead(transport):
_release_wake_for_transport(transport)
return
logger.info("wake.detected: emitting to sid=%r (transport=%s)",
sid, type(transport).__name__)
# Multi-phrase engines report WHICH phrase fired and the profile it
# belongs to, so one listener can wake any enrolled profile. Falls
# back to the owner's configured phrase / no profile for
# single-phrase engines.
matched_phrase, matched_profile = get_last_match() or (phrase, "")
logger.info("wake.detected: emitting to sid=%r (transport=%s, profile=%r)",
sid, type(transport).__name__, matched_profile)
token = bind_transport(transport)
try:
_emit("wake.detected", sid, {
"phrase": phrase,
"phrase": matched_phrase or phrase,
"profile": matched_profile or None,
"start_new_session": new_session,
})
finally:

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@ -949,6 +949,19 @@ export function createGatewayEventHandler(ctx: GatewayEventHandlerContext): (ev:
// "Hey Hermes": optionally open a fresh session (start_new_session),
// then arm voice capture so the user can speak hands-free. Mirrors CLI.
void (async () => {
// Multi-profile routing: the TUI is a single-profile process, so a
// phrase enrolled by ANOTHER profile can't be routed here — surface
// the switch command instead of starting voice on the wrong profile.
const wakeProfile = ev.payload?.profile?.trim()
const ownProfile = getUiState().info?.profile_name || 'default'
if (wakeProfile && wakeProfile !== ownProfile) {
sys(`wake phrase for profile '${wakeProfile}' — run: hermes -p ${wakeProfile} --tui`)
await rpc('wake.resume', {}).catch(() => undefined)
return
}
if (ev.payload?.start_new_session !== false) {
await newSession()
}

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@ -615,7 +615,7 @@ export type GatewayEvent =
}
| { payload?: { state?: 'idle' | 'listening' | 'transcribing' }; session_id?: string; type: 'voice.status' }
| { payload?: { no_speech_limit?: boolean; text?: string }; session_id?: string; type: 'voice.transcript' }
| { payload?: { phrase?: string; start_new_session?: boolean }; session_id?: string; type: 'wake.detected' }
| { payload?: { phrase?: string; profile?: null | string; start_new_session?: boolean }; session_id?: string; type: 'wake.detected' }
| { payload?: { reason?: string }; session_id?: string; type: 'dashboard.new_session_requested' }
| { payload: { line: string }; session_id?: string; type: 'gateway.stderr' }
| {

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@ -125,6 +125,28 @@ wake_word:
The small English KWS model (~13 MB) downloads once on first use. Each
profile can set its own phrase — "hey \<profile\>" for every profile you run.
### Waking a specific profile (desktop)
With the sherpa engine, ONE listener can wake ANY profile. Every profile
whose config has `wake_word.enabled: true` is enrolled automatically; its
phrase defaults to `hey <profile name>` when unset. Say a profile's phrase
and the desktop app live-switches to that profile, opens a fresh session
there, and starts hands-free voice:
- "hey hermes" → default profile
- "hey coder" → the `coder` profile
- "hey trader" → the `trader` profile
Set `wake_word.profile_routing: false` on the listener's profile to opt out
and listen only for its own phrase. The CLI and TUI are single-profile
processes: a wake phrase belonging to another profile prints the switch
command (`hermes -p <profile>`) instead of routing.
Names are matched acoustically by their English subword sounds: two-word
phrases with distinct, 2+ syllable names work best. Very short names, heavy
non-English phonology, or two profiles with similar-sounding names will
degrade accuracy — tune per-profile `sensitivity` if needed.
### Option B — openWakeWord (free, trained model)
Name a built-in model (`hey_jarvis`, `alexa`, `hey_mycroft`, …), or train a