/api/audio/transcribe, /api/audio/speak, /api/audio/elevenlabs/voices, and
the /api/audio/speak-stream WebSocket resolved TTS/STT config from the
dashboard's own HERMES_HOME regardless of the active profile, so a
non-default profile's voice settings were silently ignored. Give all four
the same optional profile param as the rest of the dashboard surface,
entering _config_profile_scope (await-safe, config-only — the audio paths
touch no skills globals) inside their worker threads.
Backend half of the desktop fix; completes the renderer-side profileScoped()
threading. Fixes#53441#45506#66012#64057.
Two in-house micro-fixes from issue triage:
- #49883: voice.beep_enabled gates in cli.py and hermes_cli/voice.py used
bool() on the config value, so a quoted YAML string like "false" or
"off" kept beeps on. Route through utils.is_truthy_value.
- #18432: AudioRecorder.start() collapsed OSError from _import_audio into
the 'pip install sounddevice numpy' hint — but OSError means the
PortAudio SHARED LIBRARY is missing, which pip cannot fix. Mirror
detect_audio_environment's system-package hint (libportaudio2 /
brew portaudio / Termux pkg install portaudio) on that path.
Fixes#49883Fixes#18432
Closes#55908. The CLI voice-mode beep amplitude is hardcoded at 0.3 inside
tools.voice_mode:play_beep(), which makes the record start/stop cues too
quiet on low-volume systems and headphones. Users couldn't adjust it
without editing source.
Move the literal into a configurable voice.beep_volume setting (clamped to
0.0-1.0, default 0.3 to preserve prior behaviour). The new
_get_beep_volume() helper reads via the same load_config() pattern used by
cli.py's _voice_beeps_enabled() and hermes_cli/voice.py's _beeps_enabled(),
keeps bools / out-of-range / non-numeric / NaN values safely on the default,
and falls back silently if config can't load so the audio cue never breaks
the voice loop on a degenerate config.yaml.
Covered by tests/tools/test_voice_mode.py:
- TestGetBeepVolume (12 cases: missing key, custom value, boundary 0.0/1.0,
out-of-range clamp, type coercion, bool guard, NaN guard, exception
guard, dict-typed voice section)
- TestPlayBeepVolumeWiring (guards against re-introducing a hardcoded 0.3
literal in play_beep)
Docs: website/docs/user-guide/configuration.md mentions the new key.
Other locale translations (zh-Hans etc.) intentionally untouched —
handled by the regular i18n sync pipeline as a separate change.
No change in default behaviour: existing users hear exactly the same beep.
Review follow-up: the sweeper is right that the first commit only cured
half the dead config — the TUI gateway builds its recorder params
explicitly, so the cap never reached recordings started from the TUI.
- start_continuous() grows a max_recording_seconds param (default 0.0 =
disabled, so existing callers keep today's behaviour) and applies it to
the shared recorder next to the silence params
- tui_gateway voice.record start forwards the validated cap; corruption
semantics now mirror the silence params everywhere: non-numeric/bool
falls back to the documented 120 default (a hand-edited
`max_recording_seconds: true` must not become a 1-second cap), while
an explicit numeric <= 0 disables the cap
- cli.py wiring updated to the same corruption semantics
New coverage, per review:
- TestMaxRecordingCap drives the mocked InputStream callback past the
cap during continuous loud speech (the silence branch physically can't
fire there) and asserts the one-shot callback fires exactly once; plus
the disabled-cap negative
- TestMaxRecordingSecondsConfigReal pins the CLI config assignment for
the valid / zero / bool / garbage cases via _voice_start_recording
- test_voice_record_start_forwards_max_recording_seconds pins the TUI
forwarding for the same matrix
Consolidates all TTS text-preparation paths onto
tools/tts_text_normalize.prepare_spoken_text:
- strip_nonspoken_blocks: removes <think> reasoning blocks (#34213,
incl. unterminated streaming blocks) and the end-of-turn
file-mutation verifier footer emitted by run_agent.py (#40772).
- flatten_newlines_for_payload: collapses newlines into sentence
breaks so newline-sensitive OpenAI-compatible providers (Kokoro)
speak the whole script instead of truncating at the first newline
(#9004).
- tools/tts_tool._strip_markdown_for_tts (voice-mode streaming + web
dashboard path) now delegates to the shared cleaner, with the legacy
regex pipeline kept as a best-effort fallback.
- hermes_cli/voice.py speak_text and cli.py _voice_speak_response now
use the shared cleaner instead of their own duplicated regex
pipelines.
- gateway auto-TTS fallback also strips think blocks.
Tests: tests/tools/test_tts_prepare_spoken.py covers think blocks,
verifier footer, emoji, newline flattening, and the shared-cleaner
wiring on the tool/streaming/gateway paths. Updated the header
expectation in test_voice_cli_integration.py for the heading-fold
behavior of the shared cleaner.
Closes#34213, #9004, #40772
Main gained its own vertex curated list (df051c17cc) two days after
PR #68767 was opened, so the cherry-pick produced a duplicate 'vertex'
dict key (later key silently wins in Python dict literals). Merge the
two into one list: union of both, existing entries preserved, contributor's
live-validated additions (gemini-3.6-flash, 3.5-flash-lite, 3.1-flash-lite)
folded in.
Add a "vertex" key to _PROVIDER_MODELS with 6 Gemini 3.x models that
were validated live against the Vertex AI OpenAI-compatible endpoint
(aiplatform.googleapis.com, global region, project antse-tooling) on
2026-07-21. All entries returned HTTP 200; 8 other candidates (e.g.
gemini-3.1-flash, gemini-3-pro-preview) returned 404 and were excluded.
Validated models (google/ prefix required by Vertex endpoint):
- google/gemini-3.5-flash (frontier Flash, agentic)
- google/gemini-3.6-flash (newer incremental over 3.5)
- google/gemini-3.5-flash-lite (lighter/cheaper 3.5 variant)
- google/gemini-3.1-pro-preview (3.1 Pro preview)
- google/gemini-3-flash-preview (3.0 Flash preview)
- google/gemini-3.1-flash-lite (most cost-efficient 3.x model)
Context lengths are covered by the existing "gemini" prefix entry
(1_048_576) in agent/model_metadata.py DEFAULT_CONTEXT_LENGTHS — no
additional entries needed.
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
The native Gemini provider profile's default_aux_model and the curated
model picker catalog were still pinned to gemini-3.5-flash, a stale
generation now superseded by gemini-3.6-flash (documented GA). Bump
both so the auxiliary-task default and the picker stay in sync with
the current model.
Contract test asserts the durable lockstep invariant only
(default_aux_model is a member of _PROVIDER_MODELS["gemini"]) rather
than pinning either side to a frozen model-name string, so it doesn't
need updating on the next model-generation bump.
Use mark_provider_active_if_unset after dashboard token save, unsuppress
device_code after TTS setup login, and lock default-active plus refresh
active_provider contracts in tests.
Save side-tool OAuth tokens without promoting xai-oauth via active_provider
or model.provider so hermes setup tts login no longer hijacks inference routing.
Existing installs predate the install.sh hermes-acp launcher, and hermes
update never re-runs setup_path, so ACP hosts (Zed, JetBrains, Buzz)
still resolve Hermes as unavailable until a reinstall. _ensure_acp_launcher()
writes the launcher next to an existing hermes command in ~/.local/bin or
/usr/local/bin during hermes update — delegating to the sibling launcher so
it is correct for every install layout. Never follows symlinks (#21454),
skips unwritable dirs, no-op on Windows (venv Scripts is already on PATH).
Docs: add a Buzz Desktop section to the ACP page (en + zh-Hans).
setup_path() wrote a `hermes` launcher to ~/.local/bin but nothing for
`hermes-acp`. That console script exists only inside the venv, which is
not on the login-shell PATH.
ACP hosts resolve the agent by command name against that PATH, so an
otherwise healthy install looks absent to them. Buzz Desktop ships a
Hermes preset that spawns `hermes-acp` and reports the runtime as
unavailable; Zed and JetBrains configs that name the bare command have
the same problem.
Write a hermes-acp launcher next to the hermes one, dispatching to the
acp subcommand. Same PYTHONPATH/PYTHONHOME clearing, and the same rm -f
before cat > so an older symlink into the venv cannot be followed and
stomp the console script (#21454). Uninstall removes both launchers.
tests/test_install_sh_acp_launcher.py drives the block out of install.sh
rather than asserting on a copy, covering the venv and non-venv branches
plus the symlink-stomp case. Reverting the install.sh change turns all
three red.
Signed-off-by: SHL0MS <SHL0MS@users.noreply.github.com>
Per-job cron inference pins are now user-owned: the agent-facing cronjob
tool schema no longer exposes model/provider/base_url, and the registered
handler ignores them even if a model hallucinates the old parameters.
Users set pins via the dashboard, hermes cron create/edit --model/--provider,
or jobs.json directly — and once set, a pin sticks until the user changes it.
Existing agent-era pins are grandfathered untouched.
New cron.model / cron.model_provider config keys give the cron fleet its
own default model, independent of the chat model. Fire-time resolution:
per-job pin > cron.model > HERMES_MODEL > model.default. An axis covered
by the explicit cron-fleet default is deliberate routing, not drift, so
the #44585 fail-closed guard skips it — switching your chat model with
/model or hermes model no longer breaks unpinned cron fleets.
- tools/cronjob_tools.py: drop model param from agent schema + handler;
remove now-dead _resolve_model_override
- cron/scheduler.py: cron.model/model_provider resolution + per-axis
drift-guard skip
- cron/jobs.py: snapshot resolution mirrors the new precedence
- hermes_cli/subcommands/cron.py + hermes_cli/cron.py: --model/--provider
on hermes cron create/edit
- hermes_cli/config.py: cron.model / cron.model_provider defaults
- docs: cron.md model-resolution tip rewritten
The grant_spent notice fired for every subscription user with top-up
funds the moment their cap was reached and camped in the CLI/TUI status
bar and desktop toasts with no action to take — the account keeps
working off top-up. Remove it everywhere:
- agent/credits_tracker.py: drop grant_cond + the emit/clear block;
the dev fixture state now (correctly) produces no notice
- TUI: keep the turn-start clear of credits.grant_spent as back-compat
for older backends that still emit the key
- Desktop: drop the demo step and stale comment references
- Docs/config comments: remove grant-spent from credits_notices text
- Tests updated: policy/cold-start now assert the key never fires
Usage bands, depleted, and restored notices are unchanged; /usage still
reports the full balance breakdown.
Closes#54678
`hermes photon ...` could fail with argparse `invalid choice: 'photon'`
even when the bundled Photon platform plugin is present. Photon registers
its top-level CLI command from the platform adapter module via
`ctx.register_cli_command(name="photon", ...)`, but bundled platform
plugins are cheap-registered as *deferred* entries to avoid importing every
gateway SDK during normal startup.
On the unknown-top-level-command slow path, `discover_plugins()` records the
deferred loader but never imports the matching platform module, so the CLI
registration side effect doesn't run and `photon` stays absent from
`_cli_commands` — argparse then rejects it.
Fix: after `discover_plugins()` on that slow path, resolve only the deferred
platform whose name matches the first positional token (via
`platform_registry.get(name)`) before reading `_cli_commands`. This imports
exactly the targeted platform, leaving normal startup cheap (a bare `hermes`
or flags-only invocation has no positional token and touches nothing). The
resolution is best-effort: registry/import failures are logged at debug and
never crash startup.
Added 3 tests in tests/hermes_cli/test_startup_plugin_gating.py: resolves the
matching platform, ignores empty/None command, and swallows registry errors.
Fails without the fix (symbol absent).
- Add 'System default' clear option to SearchableSelect via clearLabel prop
- Add clearable flag to ConfigFieldSchema (schema-driven, not hardcoded)
- Add clearable: true to timezone schema override in web_server.py
- Fix CommandItem value for clear item: use clearLabel instead of '' so
cmdk can match it during search
- Fix backend: or ['UTC'] fallback for hosts without tzdata where
available_timezones() returns an empty set (not an exception)
- Add systemDefault i18n key (en, types, zh)
The timezone field was a free-text input with no guidance on format.
Users had to know the exact IANA identifier (e.g. America/New_York)
to configure it. Replace it with a searchable combobox built on
Popover + cmdk Command — the same stack as Shadcn's Combobox.
Backend:
- Add `_timezone_options()` to web_server.py (cached at import time,
returns sorted zoneinfo.available_timezones() — ~598 identifiers)
- Add `"timezone"` to `_SCHEMA_OVERRIDES` with `type: "select"`,
`options`, and `searchable: true`
Frontend:
- New `SearchableSelect` component (Popover + cmdk Command)
— closed-world filterable dropdown for large option lists
- `ConfigField` routes to `SearchableSelect` when
`schema.searchable === true` (explicit opt-in, no threshold)
- Add `searchable?: boolean` to `ConfigFieldSchema` type
- Add i18n keys: `searchPlaceholder`, `noResults`
The `searchable` flag is deterministic — no existing field is
affected unless explicitly opted in. Future large-list fields
can adopt the same pattern by adding `searchable: true` to their
schema override.
The cap is shared across CLI, desktop/TUI and the messaging gateway, so the
surface that gets rejected is rarely the one holding the slots. The rejection
read "Hermes is at the active session limit (5/5). Try again when another
session finishes." while every slot was an idle desktop tab, which took
filesystem access to work out.
Name the holders in the message, and show slot usage plus each holder in
`hermes status`. Both are inert when max_concurrent_sessions is unset, which
is the default. The gateway's duplicate copy of the message now reuses the
shared helper.
An open chat window took a session-cap slot at session.create/resume time.
Every desktop tile paint and every background reconnect-resume opens one, so
on a websocket-flappy host they accumulated: five parked desktop tabs filled a
5-slot cap and locked the messaging gateway (which shares the cap) out for
fourteen minutes while running no agents at all.
A slot held that way is invisible everywhere. An unprompted draft has no DB row
and the sidebar filters it out with min_messages=1, so the only way to diagnose
it was reading runtime/active_sessions.json by hand.
Claim on the first turn instead, mirroring the lazy contract
_ensure_session_db_row already uses for the row itself. Capacity now means an
agent can run rather than that a window exists, and anything holding a slot is
something the user can see.
Also reclaim leases whose session skipped teardown. _prune_dead only fires when
the owning pid dies, and a dashboard/serve backend runs for days, so a leaked
lease was held until restart. The owning process reconciles against the leases
it still holds, which is exact and needs no heartbeat write on the turn path.
- openrouter + nous curated lists: replace google/gemini-3-pro-preview with
google/gemini-3.1-pro-preview as the sole Pro entry, and
google/gemini-3.5-flash with google/gemini-3.6-flash
- remove qwen/qwen3.7-plus and qwen/qwen3.6-35b-a3b from both lists
- regenerate website/static/api/model-catalog.json
- test fixture: swap qwen3.7-plus catalog-label fixture to qwen3.7-max
(must be a model present in the nous curated list)
Both new Gemini ids verified live on OpenRouter /api/v1/models and the
Nous portal /v1/models (1,048,576 ctx — covered by the existing 'gemini'
prefix in DEFAULT_CONTEXT_LENGTHS).
'hey hor' triggered the wake word: the default sensitivity was 0.5, which
for openWakeWord IS the raw per-frame score threshold — openWakeWord's own
permissive baseline that near-misses clear. Raised the default to 0.6 so
phonetic near-misses fall short while real 'hey hermes' (typically 0.9+)
still fires easily.
Also fixed a real cross-engine inconsistency found while checking: the
sensitivity knob is documented 'higher = stricter' and behaves that way
for openWakeWord (threshold = sensitivity) and sherpa (0.05 + 0.4*s), but
Porcupine's own 'sensitivities' param runs the opposite way (higher = MORE
false alarms, per Picovoice). Turning sensitivity up made Porcupine looser
— backwards. Now inverted (1 - sensitivity) so 'higher = stricter' holds
for every engine.
- tools/wake_word.py: default 0.6; _sensitivity fallback uses _DEFAULTS;
Porcupine sensitivity inverted with rationale
- hermes_cli/config.py + docs: default + consistent-direction note
- tests: Porcupine inversion, default>=0.6 regression, fallback-to-default
openWakeWord scores one ~80ms frame at a time and the detector fired the
instant a SINGLE frame crossed threshold — so a stray phoneme in background
conversation could trigger the wake word unintentionally (reported in
testing). A real utterance of the phrase holds a high score across several
consecutive frames; an ambient blip spikes just one.
_OpenWakeWordEngine now requires N consecutive over-threshold frames
(wake_word.confirmation_frames, default 3) before firing. The streak resets
on any sub-threshold frame and on engine reset() (pause/resume), so a
pre-pause frame can't count toward a post-resume fire. confirmation_frames=1
restores the old single-frame behavior; clamped 1..10.
Only openWakeWord is affected — sherpa (streaming transducer) and porcupine
decode the whole phrase internally and already reject single-frame spikes.
- tools/wake_word.py: _confirmation_frames() accessor, streak logic in
process()/reset(), config default
- hermes_cli/config.py: wake_word.confirmation_frames documented default
- tests: 5 new (spike rejected, sustained fires once, =1 legacy behavior,
reset clears streak, config clamp) — 58 wake tests green
- docs: 'Reducing false triggers on ambient speech' section
openWakeWord's ONNX backend returns near-zero scores on Apple Silicon
(dscripka/openWakeWord#336), so "Hey Hermes" never crossed the 0.5
threshold: the listener armed, the microphone worked, and nothing fired.
Bisecting the pipeline puts the fault in exactly one stage — feeding the
same audio through both backends, the melspectrogram front-end is
bit-identical (maxdiff 0.00000) and the wake classifier agrees on
identical features, while the shared embedding model diverges by 45.44.
Cross-feeding confirms it: tflite features scored through the *onnx*
classifier give 0.9948 vs 0.000009 for onnx features. A telling
secondary symptom is that scores fall as input gets louder (0.5x ->
0.00031, 8x -> 0.000066), which is garbage inference rather than a weak
detection.
Selecting tflite in config alone does not fix it. openWakeWord hardcodes
`import tflite_runtime.interpreter` but declares tflite-runtime for
`platform_system == "Linux"` only; on macOS the equivalent wheel is
ai-edge-litert, so that import always fails and model.py silently
downgrades back to onnx. The result is a detector that reports itself
listening and can never fire.
- default the backend per platform (tflite on macOS ARM64, onnx
elsewhere) instead of hardcoding onnx, and pick the matching bundled
model artifact
- bridge tflite_runtime -> ai_edge_litert through sys.modules, in-process,
with no writes to site-packages
- refuse the silent onnx downgrade on macOS ARM64 and report the missing
runtime through check_wake_word_requirements() so the GUI surfaces an
actionable hint rather than arming a dead ear
- lazy-install ai-edge-litert via its own feature key, because lazy-dep
specs cannot carry PEP 508 markers (_spec_is_safe rejects ";")
An explicit `inference_framework` in config still wins, so anyone pinning
a backend keeps it.
Verified on macOS 26.5.2 / M-series: "hey hermes" scores 0.0005 on onnx
and 0.9423 on tflite from the same clip, with cross-phrase controls at
0.0003. Live over-the-air through the real microphone fires 4/4
utterances (peak 0.9532).
Clicking the desktop ear button or running /wake on|off now writes
wake_word.enabled to config.yaml (live, saved for future sessions), so the
feature no longer requires hand-editing config before the UI toggle works.
- wake.start accepts persist:true (explicit gesture): flips
wake_word.enabled on in config before arming; response reports
enabled_persisted. Passive auto-arm paths (desktop gateway-ready,
TUI reconnect) never pass it, so a mic can't become persistently
enabled without a deliberate user action.
- wake.stop accepts persist:true: writes wake_word.enabled: false so
auto-arm stays off next session; reports disabled_persisted.
- Split the refusal reason: 'disabled' (feature off in config — a
persisted gesture turns it on) vs 'disabled_for_surface' (explicit
wake_word.surface scoping, which persist does NOT override).
- Classic CLI /wake on|off and bare-toggle persist the flag too
(skips the write when config already matches).
- Desktop tooltip now maps refusal codes to friendly text (mirrors
the TUI's START_REASON_TEXT) instead of showing raw codes like
disabled_for_surface.
- Docs: quick-start notes the toggle persists; ear-button mention.
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.
New "sherpa" wake_word provider: the configured phrase is BPE-tokenized
at runtime against a small streaming zipformer KWS model (~13 MB English,
one-time download cached under HERMES_HOME), so ANY typed phrase works
with zero training — including per-profile phrases like "hey coder".
wake.sherpa lazy-dep group + [wake] extra grow sherpa-onnx/sentencepiece;
requirements probe routes per provider; sensitivity maps onto sherpa
keywords_threshold. E2E-verified on real audio (target phrase fires,
foreign phrase stays silent, reset drops buffered state).
From #53378: ships hey_hermes.onnx/.tflite (openWakeWord pipeline,
Apache-2.0) under tools/wakewords/, resolves the default (and hey_hermes
aliases) to the bundled file, ensures openWakeWord base feature models
are fetched for custom paths too, and updates config defaults + docs
from hey_jarvis to hey hermes.
Two bugs surfaced by the desktop wake conversation:
1. Runaway loop: wake -> voice -> resume -> wake fired again within
~200ms. openWakeWord keeps its rolling feature buffer across
pause/resume, so on resume it immediately re-scored the "hey jarvis"
captured before the pause and re-fired, reopening a session and
restarting voice in a tight cycle. Reset the engine buffer on every
detector (re)start so resume begins from clean audio.
2. Empty-transcript toast: a silent re-listen returns
success:false / "… STT returned empty transcript", which the desktop
transcribe endpoint turned into a 400 -> thrown error -> "Voice
transcription failed" notification on every silent gap. Treat an empty
transcript as no-speech: return {ok, transcript: ""} so the voice loop
quietly re-listens. Real failures still 4xx/5xx.
Makes the wake word a tri-surface feature with one configurable owner.
- wake_word.surface ("auto" | "cli" | "tui" | "gui") + shared
wake_surface_enabled() gate consulted by every surface, so exactly one
place owns the listener and the new session it opens.
- tui_gateway: wake.start/stop/pause/resume/status RPCs + a wake.detected
event, sharing one server-side detector for both TUI and desktop. The
detector yields the mic to voice.record (pause on capture start, resume
on terminal) and to the desktop's browser mic (wake.pause/resume).
- TUI (Ink): arm wake.start on gateway.ready; on wake.detected open a
fresh session and start voice capture.
- Desktop (Electron): arm wake.start on connect; on wake.detected open a
fresh session.
- CLI now gates on wake_surface_enabled("cli"); /wake status shows surface.
- Tests for the surface gate; docs cover the surface knob + cross-surface.
Adds an opt-in, on-device hotword listener for the CLI. With
wake_word.enabled (or /wake on), Hermes listens in the background for a
wake phrase; on detection it starts a fresh session, captures one
utterance through the existing voice pipeline, and answers — the
"Hey Siri" pattern.
- tools/wake_word.py: provider-pluggable detector (openWakeWord, free
local default; Porcupine, premium) over the shared 16 kHz sounddevice
capture path. Background daemon thread with pause/resume so it yields
the mic during a voice turn.
- CLI wiring: startup listener (off-thread), on-wake flow, an idle
watchdog that resumes the detector after each turn, cleanup hook, and
a /wake [on|off|status] command.
- config.yaml wake_word section; PORCUPINE_ACCESS_KEY as an optional
secret. Engines lazy-install via the [wake] extra.
- Hands a transcript to the input queue exactly like voice mode, so no
system-prompt/cache mutation. No new core model tool.
- Tests (mocked, no live audio/network) + feature docs.
Replaces the O(N) list_sessions_rich histogram in /api/sessions/stats
with a single GROUP BY query, reducing response time from ~575ms to
<1ms on large databases.
Original PR #48921 by @liuhao1024. Salvage fixes based on review
feedback from teknium1 and @wernerhp:
1. Preserve try/except guard — a DB error still degrades to empty
by_source instead of failing the whole stats response.
2. GROUP BY COALESCE(source, 'cli') — the original GROUP BY source
could emit duplicate 'cli' keys (NULL group + literal 'cli' group)
that the dict comprehension silently dropped.
3. Add exclude_children=True — list_sessions_rich excludes subagent
runs, delegates, and compression continuations by default; the
bare GROUP BY counted all rows, inflating source counts.
Aggregate shape (exclude_children/include_archived/limit params)
adapted from closed duplicate #61120 by @mijanx.
Closes#48914
Co-authored-by: mijanx <mijanx@users.noreply.github.com>
- Replace _load_cron_jobs_for_config_warning with lazy import of
cron.jobs.load_jobs — picks up BOM handling, corruption repair,
and context-local store resolution for free
- Re-add model.name to axis mapping (was dropped during merge);
model.name is a legacy alias for model.default
- Fix grammar: '1 enabled unpinned cron job have' -> 'has'
- Pass user_config to cron_model_drift_guard_enabled in set_config_value
to avoid a redundant load_config() re-read of the file just written
When an operator changes the global model/provider config, warn that
unpinned cron jobs with stored snapshots will fail-closed on their next
run. Adds a cron.model_drift_guard config opt-out (default true) for
fleets that should deliberately track changing global defaults.
Addresses #59031. Original PR #59177 by @doncazper.
Aggregator providers (nous, openrouter) serve dozens of models across many
labs. Add a featured=True enricher to build_models_payload that attaches a
featured_models shortlist to each row: within every lab keep the newest
_FEATURED_PER_LAB models by models.dev release_date, ranked among that row's
own models — never against the current date, so the choice is stable as
models age. Same-date ties fall back to curated list order. Single-lab
providers get an empty list. Derived live from the models.dev catalog already
loaded on this path; no hand-maintained allowlist.
Figma's mcp.figma.com register endpoint is a client_name allowlist
(Claude Code / Codex succeed; Hermes Agent 403s) and returns a client
secret while advertising auth_method=none, then requires the secret on
token exchange. Auto-set client_name + client_secret_post for Figma
hosts, pass oauth cfg through login/add paths, force interactive OAuth
for hermes mcp login from non-TTY desktop shells, and ship a catalog
entry. Proven: hermes mcp login figma → 26 tools.
Saying EXACTLY a configured stop phrase (default: 'stop') and nothing
else now ends the voice conversation instead of being sent to the agent
as a prompt. Match is deliberately strict — whole utterance,
case-insensitive, surrounding punctuation stripped — so 'stop doing
that and try X' still reaches the agent.
- tools/voice_mode.py: is_voice_stop_phrase() + voice.stop_phrases
config loader (default ['stop'], [] disables, malformed config falls
back safely).
- hermes_cli/voice.py: shared continuous loop (TUI + desktop) halts on
a stop phrase exactly like the silent-cycle limit (fires
on_silent_limit so every UI turns voice off); stop_continuous
force-transcribe path swallows the phrase without counting a silent
cycle.
- cli.py: classic CLI push-to-talk/continuous path and barge-in
utterance path disable voice mode on a stop phrase.
- Config default voice.stop_phrases: ['stop']; docs updated.
Tests: tests/tools/test_voice_stop_phrase.py (27 tests,
sabotage-verified: loop test fails when detection is disabled);
voice suites green (110 + 44 passed).
Whisper auto-detection frequently misidentifies short/accented clips,
which users experience as voice notes transcribed in the wrong language
(Teknium + CTO both hit this). The unified resolver from #73067 made a
global hint possible; this makes it the DEFAULT so stock installs stop
guessing. Non-English users set stt.language once; '' restores
auto-detect for multilingual use.
Deep-merge gives existing configs the new default automatically (no
_config_version bump needed); any explicit per-provider or global
language setting still wins.
Class-level fix for the 'STT transcribes the wrong language' issue family
(#55551, #50181 and siblings). Previously language handling was per-provider
chaos: local honoured stt.local.language, Groq/OpenAI/Mistral/DeepInfra sent
no language hint at all, xAI silently forced 'en', ElevenLabs used its own
language_code key, and there was no global setting.
- New _resolve_stt_language() helper: stt.<provider>.language >
stt.language (new global key) > HERMES_LOCAL_STT_LANGUAGE > auto-detect.
- Threaded through ALL providers: local, local_command, groq, openai,
mistral, xai, elevenlabs, deepinfra (shared OpenAI handler), command
providers, and plugin dispatch.
- xAI no longer forces English when nothing is configured (auto-detect).
- Mistral Voxtral now receives a language hint when configured.
- stt.groq.model is now honoured from config (previously env-only).
- DEFAULT_CONFIG gains stt.language, stt.groq, stt.xai, stt.mistral.language.
- Tests: tests/tools/test_stt_language_resolution.py (11 tests, sabotage-
verified) + full transcription suite green (236 passed).
Builds on cherry-picked contributor work from #19786 (@zombopanda),
#23161 (@materemias), #50684 (@BlackishGreen33).
Add optional stt.openai.language config for OpenAI transcription. Forward non-empty hints to the API while preserving auto-detection when unset. Document the config-only setting, add its default, and cover configured and unset request arguments.
