Follow-up fixes from /hermes-pr-review + /simplify-code on PR #83437:
1. Replace _redact_secrets with agent.redact.redact_sensitive_text(force=True)
— the plugin's 11-pattern list was a strict subset of the 50+ patterns in
agent/redact.py. Secrets like Stripe keys, Google API keys, GitLab tokens,
HuggingFace tokens, DB connection strings, and Telegram bot tokens would
all leak through the plugin's list but are caught by the existing redactor.
Added pk-lf- (Langfuse public key) to _PREFIX_PATTERNS in agent/redact.py.
2. Remove dead 'not isinstance(client, object)' check in on_session_finalize —
always False for any Python value.
3. Fix MoAClient.last_reference_metrics() to call the public
self.chat.completions.last_reference_metrics() instead of reaching into
the private _last_reference_metrics attribute via getattr.
4. Deduplicate _coerce_request_messages call in on_pre_llm_request — pass
pre_coerced=input_messages to _messages_for_langfuse_input to avoid
double-coercion + double _capture_content serialization per API request.
5. Add HERMES_LANGFUSE_CAPTURE to OPTIONAL_ENV_VARS in hermes_cli/config.py
for consistency with the other HERMES_LANGFUSE_* env vars.
6. Fix test_sanitized_mode_redacts_secrets test data — the old samples
('sk-abc...1234', 'sk-ant...1234', 'Authorization: Bearer ***') were too
short to match the regex thresholds and never actually tested redaction.
Updated to realistic-length secrets and changed assertions to check that
the output differs from input (redact_sensitive_text masks rather than
inserting the literal string 'REDACTED').
Static machine-readable community plugin index with fuzzy search and
index-resolved installs, mirroring the Skills Hub catalog pattern
(fetch → HERMES_HOME/cache with 24h TTL → bundled seed fallback).
- hermes_cli/plugin_index.py: index fetch/cache/seed chain, fuzzy
search (name/description/tags/author + typo tolerance), capability
filter, bare-name resolution. Canonical URL overridable via
plugins.index_url config key.
- hermes_cli/data/plugin_index.json: bundled seed (offline fallback +
format reference) with 5 real ecosystem plugins, each pinned to an
exact commit SHA.
- hermes plugins search [term] [--json] [--capability] [--refresh]:
Rich table or JSON output, offline-safe, with an explicit
'indexed ≠ audited' footer.
- hermes plugins install <name>: bare names (no slash, no URL scheme)
resolve through the index to owner/repo[/subdir] @ pinned ref and
hand off to the existing install path (ref wired through the #82029
exact-ref support). Ambiguous names list candidates and exit;
explicit owner/repo and Git URL installs are untouched, and an
explicit --ref always beats the index pin.
- Docs: discovery section in user-guide plugins.md (format, submission
workflow via PR to hermes-plugin-index, security framing) and
reference/cli-commands.md rows.
- Tests: tests/hermes_cli/test_plugin_index_search.py (38 tests, no
live network) covering parsing, search, remote→cache→seed fallback,
TTL, install resolution/ambiguity/passthrough, and --json output.
Add voice.submit_mode=direct|draft without model-refine hooks or callbacks. Validate the config, preserve direct-submit compatibility, render editable drafts in the Ink composer, and document both locales.
Co-authored-by: BELIVIN MEDIA <212580280+KarateWilly@users.noreply.github.com>
Personality persistence used to be split per surface: the TUI/desktop wrote
the NAME to display.personality while the CLI/gateway wrote rendered TEXT
into agent.system_prompt (and their /personality none only blanked the
text, leaving the name behind). When #81946 made display.personality
authoritative everywhere, stale names written long ago resurrected
personalities users had turned off - kawaii defaulting on after updating.
- hermes_cli/personality.py: new single owner of personality state.
Built-in personality definitions, neutral-name normalization, rendering,
availability (built-ins overlaid by agent.personalities), overlay
resolution, and the ONLY sanctioned persistence path
(persist_personality -> display.personality; never agent.system_prompt).
- v34 config migration: one-time reset of display.personality to none
(announcing which personality was cleared and how to re-enable), plus a
scrub of agent.system_prompt when it verbatim-equals a known personality
render (machine-written by the old CLI/gateway). Hand-written manual
prompts are never touched.
- All surfaces rewired through the module: CLI /personality (incl. active
marker in the list), gateway /personality, TUI config.set + slash path
(which previously applied without persisting), TUI config.get (reports
the EFFECTIVE personality), completer, hermes config display, and the
tui_gateway health probe.
- cli.py/config duplicates removed: built-ins now defined once; the
desktop mirrors them from one lib module (src/lib/personalities.ts).
- Docs updated: selection lives in display.personality, built-ins always
available, one-time reset note.
Keep agent.system_prompt user-owned; named personalities resolve as an
ephemeral overlay via display.personality.
Co-authored-by: kyssta-exe <kyssta-exe@users.noreply.github.com>
Co-authored-by: EMT5320 <1908937833@qq.com>
Connection-class infrastructure failures on remote terminal backends (SSH
host unreachable/timed out, Docker daemon down or missing, remote file
sync failing on a dead link) previously surfaced to the model as raised
RuntimeError tracebacks. The model got a stack blob with no guidance and
the failure was indistinguishable from a tool bug.
Now:
- New EnvironmentConnectionError(RuntimeError) in tools/environments/base.py
carrying a reason + retry_hint. Subclassing RuntimeError keeps every
existing catcher working.
- ssh.py classifies connect-refused, connect-timeout, scp, remote mkdir,
bulk upload/download, and remote rm failures as connection errors.
- docker.py classifies all four _ensure_docker_available() failure paths
(missing exe, non-executable exe, daemon timeout, `docker version`
failure).
- terminal_tool catches EnvironmentConnectionError and returns a
structured tool result the model can act on:
{"status": "degraded", "reason": ..., "retry_hint": ..., "exit_code": -1}
The failed backend is evicted from the environment cache so a later
call retries from scratch — recovery is automatic once the backend is
reachable again.
- Config gate terminal.degraded_mode: warn|fail (default warn) in
config.yaml, bridged as TERMINAL_DEGRADED_MODE across all four bridge
sites (cli.py env_mappings, gateway/run.py _terminal_env_map,
TERMINAL_CONFIG_ENV_MAP, DEFAULT_CONFIG). "fail" preserves the
historical error+traceback tool result.
- Command failures (nonzero exit, command-not-found) are NOT touched —
only infrastructure failures classify as degraded.
Tests: tests/tools/test_terminal_degraded_mode.py (15 tests) covering
exception classification for ssh+docker, structured degraded results,
no-caching of degraded envs, recovery after the backend returns,
nonzero-exit results unaffected, fail-mode preservation, invalid-mode
fallback to warn, and the four-site config bridge invariant.
Inspired by: Claude Cowork degraded-backend behavior (idea-level,
docs-only evidence).
Salvaged premise from #67065 (@webtecnica, issue #67027), reimplemented:
get_env_value() read os.environ first with no secret-scope check, so a
multiplexed profile turn could serve another profile's credential. Its
siblings get_env_value_prefer_dotenv and gateway.config._getenv were
already scope-aware.
Reimplementation note: the original diff called get_secret() but fell
through to os.environ on a scoped miss — re-opening the exact leak it
targeted (flagged by the sweeper review). This version delegates policy
fully to agent.secret_scope.get_secret (global vars pass through; scope
authoritative under multiplexing; legacy environ behavior when off;
UnscopedSecretError propagates fail-closed), then falls back to .env.
6 regression tests incl. the #67027 repro (envless profile + multiplexed
turn -> None, not the other profile's key); sabotage-verified RED on the
old implementation.
Align load_hermes_dotenv() with reload_env() so known Hermes env vars
absent from the active profile .env are removed from os.environ instead
of leaking from a parent process / other profile.
Register ACP-related keys (HERMES_ACP_AUTH_METHOD, HERMES_COPILOT_ACP_*,
COPILOT_CLI_PATH, COPILOT_ACP_BASE_URL) in _EXTRA_ENV_KEYS so they
participate in known-key cleanup.
This is the same isolation gap class as #68367 / #66930, but:
- Not Desktop-only spawn scrub — CLI/gateway restart inheritance
- Not Matrix/messaging auto-enable only — copilot-acp provider/ACP config
- Startup dotenv clear so *any* inheritance path is covered
Example: HERMES_ACP_AUTH_METHOD=cursor_login leaking into a Claude Code
ACP profile caused authenticate -> Internal error -> Discord
'model provider failed after retries'.
Let terminal keys explicitly present in config.yaml override matching stale TERMINAL_* values while preserving environment values for omitted keys. Merged defaults remain backfill-only.
Exercise the real config.yaml to _get_env_config path for backend selection, partial terminal sections, matching-key overrides, environment fallback, one-shot bridging, and config read failures.
Closes#71137
get_custom_provider_extra_headers() was returning the result of
normalize_extra_headers() on the first matching base_url, even when
that entry had no extra_headers configured. A later providers.<name>
entry sharing the same URL but with headers set was therefore ignored.
Fix: store the normalized headers and only return when non-empty,
otherwise continue searching the remaining entries.
Fixes#74465
set_config_value() and unset_config_value() silently replaced the
entire config with an empty dict when config.yaml could not be
parsed. A single YAML syntax error would cause 'hermes config set'
to wipe all settings and write only the new key. Now exits with
error and preserves the existing file.
When model is a bare scalar (e.g. 'model: gpt-4o'), running
'hermes config set model.provider openai' silently destroyed the
model id because _set_nested replaced the scalar with an empty dict
before writing the sub-key. Now the scalar is normalized to
{default: <id>} first, preserving the model id.
_is_env_config_key() already routes _API_KEY and _TOKEN suffixed
keys to .env for safe credential storage. Add _SECRET to the suffix
list so keys like CLIENT_SECRET and ENCRYPTION_SECRET are stored
in .env (excluded from git by default) rather than config.yaml.
--force was silently ignored for 'model' keys — the guard always
redirected to model.default even when the user explicitly asked to
replace the entire section. Now --force triggers a warning and
proceeds with the destructive overwrite for model too, matching
the non-model mapping --force behaviour.
Prevent 'hermes config set <section> <scalar>' from silently destroying
an existing mapping. The bare 'model' shorthand is preserved by
redirecting to 'model.default' — all other mapping sections are refused
with a helpful error unless --force is used.
Closes#74995
Port from nanocoai/nanoclaw#2748: Docker's built-in 64 MB /dev/shm silently
breaks shared-memory-hungry workloads inside the sandbox — Chromium/Playwright
renderers crash tabs, and PyTorch DataLoader workers die with 'bus error' /
'insufficient shared memory'. tmpfs is lazily allocated, so the higher ceiling
costs nothing until actually used, and usage still counts against the
container's --memory cgroup limit.
- tools/environments/docker.py: --shm-size 1g in resource args (not
cgroup-gated; tmpfs mount option). Skipped when docker_extra_args already
sets --shm-size, or when configured empty/'0' (Docker default).
- terminal.docker_shm_size config key (DEFAULT_CONFIG + all three
config->TERMINAL_DOCKER_SHM_SIZE env bridges: CLI, gateway, config.py map)
- tests: default emit, custom value, opt-out, extra_args precedence,
helper edge cases (sabotage-verified: default/custom tests fail without
the emit)
Profile clones and hand-written minimal configs carry no _config_version
key; check_config_version() coerces that to 0, which wrongly tripped the
v12 floor and left clones unstamped (caught by CI:
test_clone_config_copies_files / test_clone_from_named_profile).
Version-less configs now take the normal ladder + fresh stamp — the
historical behavior; only genuinely ancient explicit-version configs
are refused.
Companion to the no-mutate fix: normalized['models'] retained a
reference to the caller's (possibly cached) models dict, and the
normalized entry escapes into long-lived runtime state
(agent._custom_providers). Shallow-copy so runtime writes can never
reach the shared config cache.
The normalizer writes alias keys into the entry it is given
(entry['key_env'] = entry['api_key_env'] and entry[snake] =
entry[camel]) while building its normalized copy. Two of its three
callers — get_compatible_custom_providers and
providers_dict_to_custom_providers — pass live sub-dicts straight
from load_config_readonly()'s shared cache (only
_custom_provider_entry_to_provider_config defends with dict(entry)).
A config written with the documented camelCase / api_key_env aliases
therefore gets its cached copy polluted with injected duplicate keys,
violating the cache's explicit no-mutation contract; every later
load_config() deepcopy inherits the duplicates, and any
save_config(load_config()) flow (setup wizard, dashboard writes,
model persist) writes them back to config.yaml. The aux-client TLS
resolution runs this on every auxiliary client build, so the
mutation also happens unlocked on worker threads against a shared
object.
Shallow-copy the entry up front; the function's return value is a
separately-built dict, so behavior is otherwise unchanged.
Four hot-path consumers paid a full config deepcopy per read:
- telemetry gate relay_shared_metrics.enabled() — runs 2-3x per agent
turn (2x per API call from lifecycle hooks + 1x per tool call) and
called read_raw_config(), which deepcopies the whole raw config every
call. New read_raw_config_readonly() serves the cached dict directly:
248 us -> 4.6 us per call (54x) on Teknium's real 77-key config.
- interruptible_streaming_api_call local-endpoint stale-timeout branch
called load_config() once per API call for every local-model user.
- gateway get_inbound_media_max_bytes() + _get_ephemeral_system_ttl_default()
called load_config() on per-message paths. All three switched to
load_config_readonly() (345 us -> 12 us; PR #28866 lineage).
Together these account for ~90% of the ~1,900 deepcopy primitives per
turn measured in the 26-call stubbed-LLM profile.
read_raw_config_readonly() keeps the (mtime_ns, size) freshness key so
config edits are picked up next call, and preserves the identity
invariant (cache-miss returns the same object later hits serve) —
regression-tested with 'is', per the PR #28866 identity-bug lesson.
The mutable read_raw_config() is unchanged for save-path callers.
581 targeted tests green (config, relay metrics x2, ephemeral reply,
platform base, new readonly suite).
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.
Premise check on live main: barge-in machinery EXISTS for the per-turn
STREAMING pipeline only — cli.py chat() arms _voice_barge_in_monitor and
tui_gateway _tts_stream_begin arms _tts_stream_barge_in_monitor. What was
actually broken for spoken interruptions:
1. CLI whole-file fallback (_voice_speak_response_async — used whenever
streaming TTS cannot start: sounddevice missing, requirement probe
fails): NO monitor was ever armed, so talking over the reply did
nothing. Now arms _voice_barge_in_monitor in continuous voice mode.
2. Gateway fallback speak (tts_queue None → speak_text thread) and the
voice.tts RPC (desktop-triggered speech): speak_text ran bare, and
its internal streaming dispatch created a PRIVATE stop event nothing
could reach — uninterruptible even by stop_playback(). New
_speak_text_with_barge() runs the same barge monitor beside the speak
thread; hermes_cli.voice.speak_text/_speak_text_streaming accept an
external stop_event so a barge cuts the streaming pipeline too.
Stop-phrase handling and voice.transcript submission are inherited
from the shared monitor (merged #73933 behavior preserved).
3. False barge during TTS (the reason interruption "worked" then
self-cancelled or fired randomly): salvaged PR #71083 by @beardedeagle
(previous commit, kept authorship) — rolling-window VAD floor, 8x
multiplier, 4000-RMS trigger ceiling, barge_in_grace_seconds (2s)
before the mic opens, min-floor clamp. barge_in_grace_seconds is now
documented in DEFAULT_CONFIG.
Desktop spoken barge (renderer mic via voice-barge-in.ts) already covers
both its live-stream and fallback speech paths — verified, no change.
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.
Follow-ups on top of @DonutsDelivery's salvaged reaper commit (#64141):
- create_from_config() now parses lsp.idle_timeout (invalid values fall
back to DEFAULT_IDLE_TIMEOUT) — previously the constructor knob was
unreachable from config.yaml (config exposure adapted from #36892 by
@0xbWy and #68091 by @9miya20)
- canonical default declared in hermes_cli DEFAULT_CONFIG so config
discovery surfaces the knob (per sweeper review note on #64980)
- reaper loop survives transient sweep errors instead of dying and
silently re-opening the leak (gap flagged in #68091 review)
- eventlog.log_reaped(): one INFO line per sweep + clears the
log_active announce cache so respawns re-announce at INFO
- docs: replace the stale 'no idle-timeout reaper' paragraph with the
new lifecycle description + config reference
- tests: reuse-refresh protection (the regression teknium's sweeper
requested on #64141), reaper-survives-error, config propagation,
invalid-value fallback, DEFAULT_CONFIG/manager-constant sync
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.
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.
Local/self-updated macOS builds were finished with a plain
'codesign --force --deep --sign -', leaving a cdhash-only Designated
Requirement and stripping electron-builder's entitlements. Every rebuild
changes the cdhash, so TCC treats the new bundle as different code and
forgets Full Disk Access, Desktop/Downloads/Documents, Accessibility,
Automation, and microphone grants — users re-approve everything after
every update.
Rework the relaunch fixup to sign inside-out (standalone Mach-O
binaries, nested frameworks/helpers, then the main bundle), preserving
the repo's entitlement plists, and pin an identifier-based Designated
Requirement when signing ad-hoc so TCC has a stable identity to persist.
Opt-in desktop.macos_signing_identity names a persistent keychain cert
(self-signed Code Signing cert works — no Apple Developer account) for a
certificate-anchored DR, the strongest form. An intact Developer ID
signature is detected and never clobbered, callers can pass the
publisher-signing decision explicitly so a later dotenv load can't flip
it, and the legacy deep ad-hoc sign remains the last-resort fallback.
Co-authored-by: lewis4x4 <lewis4x4@users.noreply.github.com>
Co-authored-by: natebransc <natebransc@users.noreply.github.com>
Co-authored-by: caseyanthony <caseyanthony@users.noreply.github.com>
Co-authored-by: gvago <gvago@users.noreply.github.com>
Co-authored-by: twe-cloud <twe-cloud@users.noreply.github.com>
* Revert "fix(credits): remove the 'Grant spent · $X top-up left' notice"
This reverts commit 5dc6a14c14.
* fix(credits): reintroduce grant_spent behind an in-session crossing gate
The removed notice nagged because its condition is a steady state for
accounts living on top-up, the latch is per-session, and the cold-start seed
runs the policy at every session open — every session re-announced
'Grant spent · $X top-up left'. Reintroduce it gated so only a session that
WATCHES the grant run out announces:
- seen_grant_unspent crossing gate, mirroring seen_below_90: opens when the
session observes the grant meaningfully unspent (>= GRANT_UNSPENT_MIN_MICROS,
1 cent — portal-seeded states derive micros from float dollars and can carry
sub-cent residue where headers report exactly spent). Seeds never prime it.
- The gate guards only the show branch and is consumed by the announcement —
one announcement per crossing. Header flicker (used_fraction None and back)
clears the sticky line but cannot re-announce; a renewal re-opens the gate.
- new_credits_latch() centralizes the latch shape (agent build, lazy re-init,
and the policy test helper all build through it).
- Tests: steady-state-open stays silent (seed + policy seams), live crossing
announces once, flicker/renewal/residual cases locked; the rendering test
primes the gate and asserts its leg count so a gate regression cannot
silently shrink coverage.
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.
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.
'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).
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).
kshitij