The disease: ~15 scattered raw yaml.safe_load(config.yaml) reads that
silently miss managed-scope overlay, ${ENV_VAR} expansion, profile-aware
pathing, and root-model normalization. Every new config feature needed an
N-site sweep (incident chain 9cbcc0c9c8 → 732293cf87 → b0e47a98f9 →
1928aa0443). This commit assigns every raw read to an owner and adds a
lint-guard test so the class cannot regrow.
New primitive (additive-only change to hermes_cli/config.py):
read_user_config_raw(path=None) — reads the user file EXACTLY as
written; docstring states it is ONLY legal for write-back round-trips
and raw-file diagnostics. Behavioral reads must use
load_config()/load_config_readonly().
BEHAVIOR FIXES (class-a sites migrated to a canonical loader — these
previously read values that could DIFFER from the effective config):
gateway/run.py _try_resolve_fallback_provider → _load_gateway_runtime_config
keys: fallback_providers/fallback_model (provider, model, base_url,
api_key). Drift fixed: a managed-pinned fallback chain was ignored;
an api_key of "${OPENROUTER_API_KEY}" reached the resolver unexpanded.
gateway/run.py GatewayRunner._load_provider_routing → same loader
key: provider_routing. Drift fixed: managed-pinned routing prefs and
${VAR} templates were ignored.
gateway/run.py GatewayRunner._load_fallback_model → same loader
keys: fallback chain. Same drift as above.
gateway/run.py GatewayRunner._refresh_fallback_model
keeps the raw primitive (its last-known-good-on-parse-failure contract
forbids the fail-open loader, which returns {} on a torn write) but now
applies managed overlay + env expansion inline. Drift fixed: chain
edits under managed scope / env templates were previously frozen out.
tui_gateway/server.py _load_cfg (72 behavioral call sites)
now = raw read + managed overlay (pre-existing) + NEW ${VAR} expansion,
split from a new _load_cfg_raw() write-back primitive. Drift fixed:
e.g. custom_prompt: "hello ${VAR}", agent.system_prompt, model,
api_key/base_url templates reached sessions unexpanded. DEFAULT_CONFIG
is deliberately NOT merged (callers treat missing keys as unset;
`_load_cfg() == {}` sentinels and _save_cfg round-trips depend on it).
tui_gateway/server.py _profile_configured_cwd
keys: terminal.cwd of a NON-launch profile. Drift fixed: managed
overlay + ${VAR} expansion now apply (load_config() would resolve the
wrong profile's home, so the raw primitive + inline pipeline is used).
plugins/platforms/telegram/adapter.py _reload_dm_topics_from_config
→ load_config_readonly(). keys: platforms.telegram.extra.dm_topics.
Drift fixed: managed overlay + profile-aware pathing + expansion.
plugins/memory/holographic _load_plugin_config → load_config_readonly().
keys: plugins.hermes-memory-store.*. Same drift class.
WRITE-BACK ROUND-TRIPS (class-b: stay raw BY DESIGN via read_user_config_raw;
merging defaults/overlay would pollute the saved user file):
gateway/slash_commands.py: model persist x2, _save_gateway_config_key,
memory/skills write_approval toggles
gateway/platforms/yuanbao.py auto-sethome
tui_gateway/server.py _write_config_key + all cfg→_save_cfg blocks
(reasoning show/hide/full/clamp, details_mode[.section], prompt)
→ new _load_cfg_raw()
plugins/memory/holographic save_config
RAW-FILE DIAGNOSTICS + presence-sensitive bridges (class-c: stay raw,
now via the shared primitive with an explanatory comment):
hermes_cli/doctor.py x5 (model validation, stale-root-keys, .env drift,
deprecation sweep, memory-provider probe — the latter two keep their
inline managed overlay where they had one)
gateway/run.py _bridge_max_turns_from_config and the module-level
TERMINAL_*/HERMES_* env bridge (bridging merged defaults would export
all of DEFAULT_CONFIG into the environment; both keep their inline
overlay + expansion)
hermes_cli/send_cmd.py env bridge (same presence-sensitivity)
hermes_cli/gateway.py multiplex-conflict probe (reads the DEFAULT root's
config, not the active profile's — load_config is the wrong owner)
hermes_cli/profiles.py / hermes_cli/web_server.py / tools/wake_word.py
multi-profile reads (load_config targets only the ACTIVE profile home)
cron/jobs.py _resolve_default_model_snapshot and cron/scheduler.py
run_job config read keep their existing inline overlay+expansion but
now share the primitive (their fail-open + last-value semantics and
the deliberate no-defaults merge are preserved exactly).
Failure-semantics audit: every migrated site preserves its exact previous
behavior on missing file ({} / early return) and parse failure (raise into
the caller's existing except, warn, last-known-good, or fail-open) —
read_user_config_raw intentionally mirrors bare open()+safe_load semantics
(raises on parse errors, {} only on FileNotFoundError/non-dict root).
Guard: tests/hermes_cli/test_config_read_guard.py scans the tree for
yaml.safe_load within 6 lines of a 'config.yaml' reference outside an
explicit ALLOWLIST (hermes_cli/config.py, gateway/config.py, gateway/run.py
fallback path, hermes_cli/managed_scope.py which reads the MANAGED file,
gateway/readiness.py parse-health probe) and fails on new offenders.
E2E: tests/hermes_cli/test_config_loader_e2e.py runs a subprocess with a
temp HERMES_HOME (config.yaml containing ${E2E_PROMPT_SUFFIX}) plus a
HERMES_MANAGED_DIR overlay pinning agent.reasoning_effort, asserting
tui _load_cfg resolves "hello world"/"high" while _load_cfg_raw +
_save_cfg round-trip the template and user value verbatim with no
managed/default leakage.
Replaces the half-duplex per-playback barge monitors with ONE listener
that runs for the entire agent turn in continuous voice mode: armed at
utterance-submit, disarmed when the turn is fully done (response + TTS
finished). Fixes Teknium's live report that voice interruption never
works: (a) not while the LLM is generating, (b) not while TTS plays.
Root causes:
- HALF-DUPLEX GAP: the barge monitor only spawned when TTS playback
STARTED (cli.py streaming/whole-file paths, gateway _tts_stream_begin).
During LLM generation there was NO microphone listener at all.
- PLAYBACK DEAFNESS: the monitor calibrated its VAD noise floor WHILE the
speaker was blasting TTS (speaker bleed baked into the floor), then
multiplied it by 8x with a 1s strictly-consecutive block requirement —
normal speech could rarely reach the trigger, and the 2s grace
swallowed early interjections.
New model — tools/voice_mode.full_duplex_listen():
- Pre-playback calibration: quiet-room noise floor established at turn
start and HELD through playback (never recalibrated against bleed).
- Phase-aware trigger: generation = floor x voice.barge_in_threshold_multiplier
(new config, default 3.0, justified by synthetic-frame tests);
playback = additionally clamped to a 1500-RMS minimum so bleed alone
can't trip; 4000-RMS ceiling keeps speech always reachable.
- Windowed-majority detection (>=80% of a 300ms window) instead of the
strictly-consecutive counter that reset on intra-word energy dips.
- Grace on playback ONSET only (voice.barge_in_grace_seconds, default
down 2.0 -> 0.5) — suppresses the onset transient, not the mic.
- Debug diagnostics at every decision point (calibrated floor, per-window
RMS above 50% of trigger, trip/no-trip, grace suppressions) — always
logger.debug, mirrored to stderr under HERMES_VOICE_DEBUG=1.
Phase behavior (CLI cli.py + tui_gateway/server.py, same model):
- generation: speech interrupts the in-flight turn via the SAME seam the
typed/Ctrl+C interrupt uses (agent.interrupt()), cuts any pending TTS
pipeline so the stale reply never plays, and submits the captured
interjection (pre-roll capture, first syllable kept) as the next turn.
- playback: cuts TTS (streaming pipeline stop + fallback speak stop
events + file player) and submits the capture.
- stop phrase honored in BOTH phases: mid-generation 'stop' interrupts
the turn AND ends the voice chat (stop everything).
- one listener instance spans generation -> playback (no re-arm race);
double-arm refused (CLI _voice_fd_active / gateway _fd_listener_active).
Gateway specifics: _arm_full_duplex_listener() at _run_prompt_submit turn
start and inside _tts_stream_begin; _speak_text_with_barge registers its
(stop, done) pair in _fd_speak_pipelines so fallback speaks are cut and
tracked; _tts_stream_barge_in_monitor kept as a shim that arms the new
listener. Desktop renderer owns its own mic path (voice-barge-in.ts) and
is unaffected; if desktop backend-mic mode is used it inherits via the
gateway.
Tests: full_duplex_listen synthetic-RMS suite (speech-over-bleed trips,
bleed alone doesn't, quiet floor held through playback, grace window,
multiplier math 3x vs 8x, windowed-majority dips), CLI listener phase
tests (generation interrupt seam, playback cut, lifecycle spans phases,
double-arm, config forwarding, stop-phrase-mid-generation), gateway
generation-phase interrupt + stop-phrase tests. Generation-interrupt
test sabotage-verified.
Three cold-start cuts, measured with .venv python, PYTHONPATH=worktree,
median of 3-5 fresh subprocesses:
1. tools/mcp_oauth.py — availability now via importlib.util.find_spec("mcp");
SDK classes (OAuthClientProvider et al.) import lazily on first use via
_ensure_sdk_loaded(). Module-level names kept as None placeholders so the
test-patch surface (patch.object(mcp_oauth, "OAuthClientProvider", ...))
still works. import tools.mcp_oauth: 242ms -> 56ms (mcp SDK no longer
loaded at import time).
2. tools/registry.py — discover_builtin_tools AST scan memoized in an
mtime_ns+size-keyed disk cache at ~/.hermes/cache/tool_discovery_cache.json
(atomic write via utils.atomic_json_write, best-effort/never raises;
corrupt or missing cache -> full rescan + rewrite; per-file stat mismatch
-> rescan just that file). Scan of 100 files: 158ms cold -> 3ms warm.
3. tools/browser_tool.py — top-level `import requests` and
agent.auxiliary_client.call_llm moved to lazy first-use (PEP 562
__getattr__ preserves patch("tools.browser_tool.requests.get") and
patch("tools.browser_tool.call_llm") surfaces; internal call sites go
through _lazy_call_llm which reads module globals so patches are honored).
Entry-point imports (median ms, before -> after):
import model_tools 392 -> 245 (warm discovery cache)
import cli 152 -> 151 (unchanged; cli doesn't hit these paths)
import gateway.run 234 -> 230
Functional verification:
- get_tool_definitions(quiet_mode=True) under temp HERMES_HOME: identical
sorted 30-tool name set before vs after (empty diff).
- Discovery cache: delete cache -> 158ms, second run -> 3ms; corrupt cache
-> clean full rescan; touching one file -> single-file rescan (12ms).
- Tests green: tests/tools/test_registry.py, all test_mcp_oauth*,
test_mcp_dashboard_oauth, test_mcp_tool_401_handling, all
tests/tools/test_browser*.py, tests/hermes_cli/test_mcp_{config,startup,
dashboard_oauth}.py, test_skills_tool_discovery_cache.py.
Long thinking/tool stretches in a voice conversation are dead air — the
user cannot tell whether the agent is alive. New: quiet, repeating soft
bubble blips while the agent works and no speech audio is flowing.
- tools/voice_mode.py: numpy-synthesized blips (no binary assets) — two
alternating low pitches (G4/E4) with pitch glide + smooth attack/decay
envelopes, ~0.8-1.2s randomized spacing, volume = voice.beep_volume * 0.5.
start_thinking_sound(should_play=...) / stop_thinking_sound() daemon-loop
lifecycle; macOS-TCC-safe (sounddevice output gated there → silent skip,
no per-second afplay churn). New mark_audio_output_active()/
is_audio_output_active() ref-count wraps play_audio_file and the
streaming OutputStream sentence writes so "audio is flowing" is accurate.
- Config: voice.thinking_sound (default true) off-switch.
- cli.py: starts when a voice-mode turn begins, per-blip gate skips while
TTS speaks / mic records / barge capture owns the mic; stopped in the
chat() finally on every exit path.
- tui_gateway/server.py: same lifecycle around _run_prompt_submit turns
(voice mode on), gated on is_audio_output_active + continuous capture.
- Desktop: renderer owns voice-conversation audio, so a matching WebAudio
implementation (src/lib/thinking-sound.ts, same envelope/pitches) runs
while conversation status === "thinking"; honors voice.thinking_sound
(via config store) and the shared sound-mute toggle; stops instantly on
speaking/listening/end.
One owner for the wording: voice_stop_hint() in tools/voice_mode.py —
sources the phrase from voice.stop_phrases (first entry) so a custom
phrase renders correctly, and returns "" when the feature is disabled
(stop_phrases: []) so no surface shows a hint.
- CLI: printed in /voice on output (style-matched dim notice).
- TUI: voice.toggle action=on now carries stop_hint; the Ink client
renders it in the "Voice mode enabled" block (older gateways omit
the field — no hint, no crash).
- Desktop: the renderer voice loop never touches tools/voice_mode.py,
so the phrase is read from config (voice.stop_phrases → $voiceStopPhrase
store, seeded in use-hermes-config) and shown as an info toast when a
voice conversation starts. i18n: en/ja/zh/zh-hant/ar.
Replace one-shot VAD calibration with a rolling deque window that
continuously recalibrates the noise floor throughout TTS playback,
preventing false barge-in triggers from stale calibration. Add a
grace period before VAD activates so TTS playback establishes first.
Suppress duplicate text rendering when token streaming is enabled.
Mirror the barge-in and TTS stream stop logic to the TUI gateway path
so both CLI and gateway use the same VAD semantics.
Rolling-window VAD:
- 90th percentile of rolling window (~3s) for noise floor
- 8x multiplier (was 5x) for TTS volume variation headroom
- 4000 RMS trigger ceiling so genuine speech can still trip
- min_floor clamped to SILENCE_RMS_THRESHOLD * 2
- sustained_ms=1000, calibration_ms=800
Barge-in grace period (barge_in_grace_seconds, default 2.0s):
Delays VAD activation so TTS playback establishes before the mic opens.
Duplicate render suppression:
When streaming_enabled, pass display_callback=None to
stream_tts_to_speaker so the token stream is the sole display path.
TUI gateway mirror:
Mirror _tts_stream_stop and _tts_stream_barge_in_monitor changes to
tui_gateway/server.py so both code paths use the same VAD parameters,
grace period, and TTS CUT diagnostic logging.
Profile-scoped session DB and MoA progress events in tui_gateway/server.py
were necessitated by the TTS pipeline changes affecting session state
and event routing.
Normal-exit flag and TTS CUT diagnostic logging at all cut paths.
Regression tests:
- test_quiet_then_loud_playback_does_not_trip
- test_8x_multiplier_absorbs_tts_volume_spikes
- test_trigger_ceiling_lets_genuine_speech_trip
- test_silence_calibration_does_not_false_trip_on_tts
- test_tts_stream_stop_latches_interruption_for_next_turn
- test_tts_stream_stop_after_natural_finish_does_not_latch
- Profile-scoped session DB tests (10 tests)
Deduplicates the mkstemp→fsync→atomic_replace pattern that existed in
three places: agent_import.py (added by #72983), MemoryStore._write_file,
and skill_manager_tool._atomic_write_text. All three now call a single
utils.atomic_write_text helper.
Also wraps the atomic_write_text call in _merge_memory_entries with
try/except OSError so a write failure records a per-item error instead
of propagating uncaught and aborting the entire import with no record.
Follow-up to #72983.
Local faster-whisper called model.transcribe with bare {'beam_size': 5}:
no VAD, cross-window conditioning on, no confidence filtering. Pure
silence produced hallucinated tokens (E2E: 5s anullsrc WAV -> 'You',
no_speech_prob=0.705) and noisy clips could produce runs of junk, often
in other languages.
Three-layer class fix, one shared owner for every local-whisper call
site (build_local_transcribe_kwargs):
1. Silero VAD filter (bundled with faster-whisper) on by default —
silence never reaches the model. stt.local.vad: false restores the
raw behavior for music/ambient transcription.
stt.local.vad_min_silence_ms tunes chunk splitting (default 500).
2. condition_on_previous_text=False — one hallucinated token can no
longer seed a self-reinforcing run; negligible cost for
voice-note-length audio.
3. Segment confidence gate (_join_confident_segments): drop a segment
only when no_speech_prob > 0.6 AND avg_logprob < -1.0 (openai-whisper's
own heuristic shape; both must hit so quiet-but-real speech survives).
Config: stt.local.no_speech_prob_threshold / logprob_threshold.
The WHISPER_HALLUCINATIONS blocklist in voice_mode.py stays as
last-resort defense but should now almost never fire.
E2E (real faster-whisper 'base', CPU int8):
silence.wav before 'You' -> after ''
noise.wav before '' -> after ''
speech.wav before/after 'Hello World, this is a test of the
transcription system.' (unchanged)
Docs (EN + zh-Hans), DEFAULT_CONFIG, cli-config.yaml.example updated;
19 unit tests (kwargs contract, off-switch, confidence gate incl.
quiet-speech survival, _transcribe_local wiring), sabotage-verified.
Saying OR typing a configured stop phrase (voice.stop_phrases, default
"stop") now ends the voice chat everywhere, not just classic CLI PTT:
- hermes_cli/voice.py: new explicit on_stop_phrase callback through
start_continuous/stop_continuous. The force-transcribe path previously
DISCARDED the stop phrase silently — with auto_restart=False the client
re-arms the next capture, so the conversation never ended. Both halt
paths now fire on_stop_phrase (fallback: on_silent_limit for legacy
callers) as user intent, distinct from the no-speech timeout.
- tui_gateway/server.py: voice.record wires on_stop_phrase and emits
voice.transcript {stop_phrase: true} after flipping HERMES_VOICE(_TTS)
off and stopping streaming TTS — same teardown as /voice off. The TTS
barge-in monitor stop-checks its transcript too. prompt.submit consumes
a TYPED bare stop phrase at the server-side choke point when voice mode
is on (returns {voice_stopped: true}, no turn starts).
- ui-tui: voice.transcript {stop_phrase} ends voice mode with a clear
'voice chat ended' notice (distinct from the no-speech-limit message);
submitPrompt releases the busy latch on a consumed voice_stopped reply.
- cli.py: _typed_voice_stop in process_loop — typing a bare stop phrase
while voice mode/continuous is active ends voice mode instead of
sending 'stop' to the agent; typed 'stop' outside voice mode is
unchanged. Voice transcripts skip the check (already stop-checked).
- desktop: interceptsTypedVoiceStop — the composer's onSubmit ends the
live voice conversation (same path as clicking end on the pill) when a
bare stop command is typed with no attachments; renderer-owned loop, so
handled client-side like the existing spoken isVoiceStopCommand.
- tools/voice_mode.py: transcribe_recording never lets the Whisper
hallucination filter swallow a configured stop phrase (e.g. 'bye'
configured as a stop phrase is both a hallucination-blocklist entry and
a stop phrase — stop-phrase check now wins).
Tests: continuous-loop signal (sabotage-verified), force-transcribe stop
signal + legacy fallback, hallucination-filter ordering, typed-stop CLI
unit tests (voice on/off/longer text), prompt.submit typed-stop gateway
tests, TUI vitest for stop_phrase event handling, desktop vitest for the
typed-stop interceptor.
The Skills Hub 'Marketplace' tab showed a single useless entry: Anthropic
changed .claude-plugin/marketplace.json to bundle-shaped plugins whose
source is './', so all plugins collapsed to one identifier pointing at the
repo root, and the second marketplace repo (aiskillstore/marketplace) is
gone (404). Everything in anthropics/skills is already surfaced by the
GitHub tap as the Anthropic tab, making this source fully redundant.
Removes ClaudeMarketplaceSource and all wiring: source router, index
builder (crawl + floors + sort order + rate-limit messaging), extract
labels/install/URL mapping, hub UI tab, web server labels, CLI limits,
docs (en + zh), the legacy index-cache snapshot, and test fixtures.
Stale skills-index entries with source 'claude-marketplace' still install
fine: HermesIndexSource fetches via resolved GitHub paths generically.
Adds gpt-transcribe (OpenAI's new file-transcription model, $0.0045/min)
to the OpenAI STT provider:
- OPENAI_MODELS set: gpt-transcribe is recognized so provider
auto-correction keeps it on OpenAI and rejects it on Groq
- Language hint wiring: gpt-transcribe replaces the singular
'language' field with a 'languages' list; the API rejects the legacy
field, so the hint is sent via extra_body {languages: [..]}
- Config comment (DEFAULT_CONFIG), cli-config.yaml.example, desktop
settings enum, and docs (en + zh-Hans) updated
- Tests: model pass-through, languages-list hint shape, legacy singular
hint preserved for gpt-4o-transcribe, Groq auto-correction
gpt-live-transcribe (realtime WebSocket, $0.017/min) is NOT wired here:
the file-based STT pipeline has no realtime session path; it belongs in
a future realtime/voice-mode integration.
Installing a memory provider (Honcho, mem0, hindsight, ...) from the
dashboard Plugins page failed on hosted deployments with a permission
error: the setup endpoint shelled out to
`uv pip install --python sys.executable`, which targets the sealed
read-only venv under /opt/hermes (immutable hosted image, NS-579/#49113).
The correct mechanism already exists: tools/lazy_deps.py redirects
installs to the writable durable target on the data volume
(HERMES_LAZY_INSTALL_TARGET=/opt/data/lazy-packages) when the venv is
sealed (HERMES_DISABLE_LAZY_INSTALLS=1), appends the target to the END
of sys.path (core venv always wins collisions), and constrains shared
deps to core-venv versions. The dashboard installer simply never used
it.
Fix:
- tools/lazy_deps.py: new public install_specs() — installs arbitrary
manifest-declared pip specs through the same environment routing as
ensure(): venv-scoped by default, durable-target on sealed images,
refused with an actionable reason when gated off (config kill switch
or sealed venv without a target — never surfaces raw EROFS/EACCES).
Specs are validated with _spec_is_safe(); post-install it invalidates
import/metadata caches so availability rechecks in the same process
see the new packages without a restart. Never raises.
- hermes_cli/web_server.py: _install_memory_provider_pip_dependencies
now calls install_specs() instead of building its own uv/pip
subprocess. Blocked installs surface the gate reason in the setup
results; the response's status block reflects post-install
availability (stale 'missing deps' state clears immediately).
- hermes_cli/memory_setup.py, plugins/memory/honcho/cli.py,
plugins/memory/mem0/_setup.py: CLI setup wizards routed through
install_specs() too — same sealed-venv failure mode, same fix.
No hosted setup path writes to /opt/hermes anymore; provider discovery
and installation now use the same environment (sys.path activation is
shared with the lazy-install bootstrap in hermes_bootstrap).
Tests:
- tests/tools/test_lazy_deps.py: TestInstallSpecs — gating matrix
(sealed+no-target blocked with immutable-deployment reason, config
kill switch, sealed+target proceeds), spec-safety rejection before
any subprocess, venv-scoped vs --target command display, failure
stderr passthrough, never-raises contract.
- tests/hermes_cli/test_web_server.py: setup endpoint routes pip
through lazy_deps (regression guard asserts no direct 'pip install'
subprocess), blocked-reason surfacing, same-response availability
recheck clears stale missing state.
Fixes NS-605 (Plain T-1111).
Follow-up integration for the #47588 salvage, aligning the new streamers
with the post-campaign invariants:
- All streaming key lookups go through _resolve_key -> tts_tool.
_resolve_provider_key -> resolve_provider_secret (config > env/.env >
credential pool, profile-scoped) — never bare get_env_value. xAI
resolves via resolve_xai_http_credentials so OAuth users stream too.
- _capped(): every provider's chunk iterator is bounded at 16 MiB per
sentence, mirroring _read_tts_response_bytes' bounded-upstream-body
invariant on the sync paths.
- Tests updated for the resolver contract + new coverage for credential
routing and the cap.
Salvaged from PR #47588 and rebased onto the post-campaign streaming core:
the StreamingTTSProvider ABC/registry and the ElevenLabs/OpenAI streamers
already live on main (tools/tts_streaming.py), so this ports the pieces
main lacked:
- GeminiStreamer: streamGenerateContent?alt=sse -> base64 PCM chunks
(24 kHz mono int16), reusing main's DEFAULT_GEMINI_TTS_* constants.
- XAIStreamer: WebSocket wss://api.x.ai/v1/tts -> binary PCM frames,
async->sync bridged via the _collect_async test seam.
- tts.streaming.provider config knob: pin one streamer, or 'auto' to
walk the priority list elevenlabs -> gemini -> openai -> xai. Unset
keeps the never-swap-the-user's-voice default.
- docs/streaming-tts.md: architecture, capability matrix, how to add
a provider.
- Unit tests for the knob, SSE parsing, and the WS bridge; key-gated
E2E tests (skipped without credentials).
Refs: #47588
Two follow-ups from the voice PR (#70509).
1. macOS ARM64 onnx migration. Existing users who pinned
openwakeword.inference_framework=onnx before the tflite fix landed kept a
wake word that arms but never fires (ONNX's embedding model is broken on
Apple Silicon, upstream #336). New resolve_inference_framework() honors an
explicit framework everywhere ONNX actually works, but coerces the one
provably-dead combination (explicit onnx + macOS ARM64) to tflite with a
one-time warning. No config mutation; empty still falls back to the platform
default. Both read sites (engine init + requirements check) route through
the shared resolver.
2. Voice turn-timeout leak. Each listen cycle reassigned turnTimeoutRef
without clearing the prior 60s timer, so a stale timer from an earlier
cycle could fire handleTurn() mid-way through a later listen — after enough
idle re-listens this wedged the loop into a non-re-arming state (the
'voice chat deactivates after ~a minute' report). Clear before re-arm.
Tests: 64 wake tests (added onnx-coercion / intel-kept / tflite-kept /
empty-default cases; updated the stale 'explicit onnx kept on ARM64' test
that encoded the old broken behavior), 39 desktop voice/wake vitest, tsc +
eslint clean.
'photon:any;-;+1555...' targets matched no parser pattern, so
_handle_send bounced them off the channel directory and failed
resolution even though the adapter accepts the GUID verbatim (the
react handler already passed them through). Recognize the DM chat
GUID shape (mirrors the adapter's _DM_CHAT_GUID_RE) in
_parse_target_ref for photon only.
The rebase onto #73510's prepare/dispatch split left the guard inside
_transcribe_prepared_audio, where source validation ran first and a
blocked .env surfaced a format error instead of the read-block message.
Guard now fires before any validation/preprocessing.
Command providers legitimately reference their own API keys in shell
templates (curl one-liners). The #70342 scrub removes ALL provider keys,
which would break such setups. Add a per-provider env_passthrough list
(TTS + STT) that copies named variables back from the parent env, plus
docs and tests. Scrub stays the default; passthrough is explicit opt-in.
Port the progress-based idle-timeout pattern from _run_command_tts
(PR #50087, @CleanDev-Fix) to _run_command_stt: the timeout resets on
any stdout/stderr output, so a slow-but-alive STT provider survives
while a silently stalled one is killed. Stuck detection stays
progress-based, never wall-clock.
`transcribe_audio` reads a local file and hands it to the configured STT
provider — for the hosted providers (Groq, OpenAI, Mistral, xAI, ElevenLabs)
that ships the file's bytes to a third-party API. The same local-input read
guard was added to image-gen (587be5b5b) and xAI video-gen (104232979) to keep
the agent from feeding credential/secret stores to a provider, but STT was
missed.
Call `get_read_block_error(file_path)` at the top of `transcribe_audio`, before
validation/dispatch, so a `.env`, `auth.json`, `.anthropic_oauth.json`,
`mcp-tokens/`, etc. is refused up front instead of being transcribed (and, for
hosted providers, exfiltrated). This is defense-in-depth, not a security
boundary — the guard's own message says so — but it restores parity with the
image/video-gen tools.
Regression test: a `.env` file is refused with the shared read-guard message
before any provider dispatch (mutation-verified).
HERMES_LOCAL_STT_COMMAND rendered quoted placeholders into a
user-configured template and passed the result to shell=True. Shell
metacharacters in the template therefore remained executable syntax even
though the placeholder values themselves were quoted.
Tokenize the rendered template and invoke it as an argv list while
preserving the existing timeout, closed stdin, and Windows creation flags.
Lock the invocation contract with metacharacter regression coverage and
document explicit shell wrapping for trusted templates that need it.
Salvages #32694
Co-authored-by: Ernest Hysa <takis312@hotmail.com>
Command-type TTS providers validated output_format against a hardcoded
{mp3,wav,ogg,flac} set; any other value was silently coerced back to mp3,
which then mismatched the output path the post-run check expects. This
blocked common ffmpeg-producible containers/codecs — notably m4a (AAC),
the portable choice for WeChat/iOS/mobile voice files — with no
config-only path (only a local source patch, lost on every update).
Widen COMMAND_TTS_OUTPUT_FORMATS to add m4a, aac, amr, opus. This only
permits a command provider to declare these; the user's command still
produces the file (e.g. via ffmpeg). No built-in provider behavior
changes and no new required config.
Update the two tests that pinned the old set, and add a positive case
covering the new formats. Document the supported output_format values.
## Summary
- Spawn system audio players (`ffplay` / `afplay` / `aplay`) with `hermes_subprocess_env(inherit_credentials=False)`.
- Prevent gateway tokens and provider API keys from leaking into OS media helpers.
- Add a regression test asserting scrubbed env on `Popen`.
## Salvage / credit
Sibling of #70342 / incomplete #56332 (TTS/STT command scrub) on the voice-mode playback path.
Salvage incomplete #56332: route command TTS/STT through hermes_subprocess_env
while preserving delegated-child lineage, and close the sibling local-whisper
subprocess.run path that still inherited the full process environment.
Co-authored-by: Cursor <cursoragent@cursor.com>
The bounded lock wait was 10 x 0.2s = 2s, but the concurrent-discovery
scenario this lock exists for (#62771: hermes serve + gateway spawning
every MCP server twice) reports 40-60s discovery rounds. A 2s budget
guarantees the loser times out and runs unguarded exactly when the guard
matters. Widen to 240 x 0.5s = 120s; fail-soft unguarded fallback and
test overrides unchanged.
Detached background delegation batches (_batch_runner) no longer honor
the foreground parent's interrupt flag — a busy-submit interrupt in the
TUI/desktop previously fabricated 'interrupted' results for background
children that should outlive the turn. Explicit cancellation still works
via _batch_interrupt.
Rebased onto current main from PR #65040; both interrupt-suppression
regression tests aligned with the current _session test helper.
Original work by @AtakanGs in #65040.
llama_cpp's GGUF backbone loader only enables n_gpu_layers for the
literal device string "gpu"; torch's codec only accepts "cuda". A
single --device value passed straight through can't satisfy both,
so config.yaml's documented tts.neutts.device: cuda silently ran the
backbone on CPU while the codec ran on GPU.
Map cuda -> gpu for the backbone only; leave the codec on the
torch-native string. Measured 24.9s -> 13.1s per synthesis call on
an RTX 5070 Ti (neutts-air-q4-gguf) with this fix.
`_play_via_tempfile` passes the NamedTemporaryFile *object* to `wave.open()`.
`wave.open()` flushes but does not close a file it did not open itself (by
name), so the OS handle to the temp WAV stays open. On Windows that open write
handle blocks the system player from reading the file and blocks the
`os.unlink()` cleanup (WinError 32, silently swallowed by `except OSError:
pass`), leaving orphaned temp .wav files piling up. The fallback runs whenever
no sounddevice output stream is available (sounddevice not installed / no audio
device), which is common on headless and Windows setups.
Close the temp file handle before invoking the player and again in the finally
block (idempotent), so the player can read the file and `os.unlink()` can
remove it.
Regression test drives `stream_tts_to_speaker` with the sounddevice path forced
unavailable and asserts the temp handle is closed before `play_audio_file` is
called (mutation-verified: reverting the close leaves the handle open at play
time and the test fails). Cross-platform.
Concurrent TTS requests within the same second (e.g. from voice prefetch)
generated identical tts_YYYYMMDD_HHMMSS.ogg paths, causing a race where
one request would unlink the file while another was still writing — resulting
in 'produced no output' errors.
Adding %f (microseconds) to the strftime format makes collisions practically
impossible. Registered as PATCH-006.
Cloud STT APIs (Groq, OpenAI, etc.) cannot parse Apple CAF containers.
Add .caf to SUPPORTED_FORMATS and _convert_caf_to_wav() which tries
ffmpeg (cross-platform) then afconvert (macOS built-in).
