`_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.
Addresses review on #62601. Applies a single rule — no sounddevice for
audio OUTPUT on macOS (PortAudio/CoreAudio init triggers a
kTCCServiceMediaLibrary prompt) — consistently at all three output sites:
- play_audio_file: WAV playback (already routed to afplay) now uses the
shared _sounddevice_output_allowed() helper.
- play_beep: synthesize the tone with numpy only, then on macOS play it
via a temp WAV through afplay instead of sounddevice.
- stream_tts_to_speaker (tts_tool): on macOS, skip the sounddevice
OutputStream so playback falls through to the existing tempfile/afplay path.
Audio INPUT (recording) is untouched — it legitimately needs mic permission.
Tests: TestMacOSAudioOutputPolicy (voice_mode) proves WAV + beep routing
does not import sounddevice on Darwin and still uses it off Darwin;
test_tts_macos_output proves streaming TTS skips the OutputStream on Darwin.
Existing test_play_wav_via_sounddevice pinned to non-Darwin for determinism.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Salvaged from PR #18861 (@shellybotmoyer). Switch the central Opus
transcoders from CBR 64k (-vbr off) to VBR 48k with -application voip and
-compression_level 10. The old CBR settings produced lower-quality speech
audio and occasionally failed to trigger Telegram's native voice-bubble
rendering. Applied to _ffmpeg_transcode_to_opus (the single transcoder
behind _convert_to_opus and _repair_ogg_container), the Gemini WAV→OGG
path, and the Matrix adapter boundary transcoder added in this branch.
Fixes#18818
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
The 'language' config field in tts.openai.language was read but never passed
to the API. This caused Kokoro (and other OpenAI-compatible TTS backends that
support lang_code) to default to English phonemization regardless of the
configured language.
Now passes lang_code via extra_body when language is set in config.
xAI TTS supports a text_normalization boolean that normalizes
written-form text (numbers, abbreviations, symbols) into spoken-form
before synthesis. This parameter was not being sent, leaving users
with literal number/symbol pronunciation.
- Add DEFAULT_XAI_TEXT_NORMALIZATION_DEFAULT = False
- Read tts.xai.text_normalization from config (via _xai_bool_config)
- Attach text_normalization: true to the POST payload when enabled
- Omit the field entirely when unset or explicitly false (API default)
- Add 3 tests: default omission, enabled passthrough, explicit false
Adds an optional provider parameter to the text_to_speech tool that lets the model select a TTS provider per-call instead of always using the globally configured tts.provider.
When provider is set, it bypasses the configured default and routes directly to the specified backend.
When omitted (the default), the tool behaves exactly as before.
Closes#47459
The `text_to_speech` tool schema accepted only `text` and `output_path`,
so style direction (tone, emotion, pacing, whispering) could never reach
the OpenAI backend — even though `gpt-4o-mini-tts` (Hermes's OpenAI
provider default) treats `instructions` as its primary voice-design
control.
This plumbs an optional `instructions` argument through the tool schema,
the handler lambda, and `text_to_speech_tool()` into
`_generate_openai_tts`, where it is forwarded to
`client.audio.speech.create()` only when truthy. Empty/None values still
omit the key entirely, preserving behavior on `tts-1`/`tts-1-hd` and
strict OpenAI-compatible servers.
The same passthrough unblocks self-hosted OpenAI-compatible voice-design
servers (Qwen3-TTS-VoiceDesign on oMLX, etc.) that are already wired in
via `tts.openai.base_url` — the established convention per #9004 and the
TTS config docs — without inventing a new provider backend.
Tests: `tests/tools/test_tts_instructions.py` covers backend passthrough,
tool-level threading, schema declaration, and the empty-string/absent
omission cases. `tests/tools/test_tts_max_text_length.py` fake_openai
signature widened to accept the new kwarg.
Refs NousResearch/hermes-agent#14196
Add optional 'speed' parameter (0.25-4.0) to the text_to_speech tool
schema and handler. When provided by the model, it overrides the
config-level tts.speed setting, enabling per-request speed control
without config changes.
Use cases:
- Language learning: slow playback (0.5x) for pronunciation practice
- Accessibility: adjustable speed for hearing preferences
- Content review: accelerated playback for long text
The speed value is clamped to [0.25, 4.0] and injected into tts_config
before dispatching to any provider (Edge, OpenAI, MiniMax, etc.), so
all existing provider-level speed handling works transparently.
Includes 3 new tests for tool-level speed injection, clamping, and
config preservation when speed is not specified.
When /reasoning show is enabled, the model's <think> blocks appear in
the final assistant message. TTS reads these aloud, which is unwanted —
users want to see reasoning but not hear it spoken.
- Add _THINK_BLOCK regex to _strip_markdown_for_tts() (tools/tts_tool.py)
— the general TTS text-preparation path used by all TTS providers
- Add <think> stripping to prepare_tts_text() (gateway/platforms/base.py)
— the gateway auto-TTS path
- Reuses the existing regex pattern from stream_tts_to_speaker()
Closes#34213
Auto-TTS previously fed raw chat Markdown and compact symbols straight to the
speech provider, so units were read as stray letters and headings or bullets ran
together. This routes spoken text through a new normalizer,
tools/tts_text_normalize.prepare_spoken_text, that expands units (for example a
temperature written with the degree symbol becomes "degrees Celsius") and
flattens Markdown into a transcript-like script with sentence pauses.
The normalizer is best-effort: if it ever fails the code falls back to the
previous markdown-strip behavior, so auto-TTS keeps working. The Telegram voice
caption uses the same normalized text. Includes a unit test.
Salvaged from PR #62977 (@Vissirexa) — TTS model-cache half only (the
hindsight turn-buffer half is a different subsystem and was dropped).
_piper_voice_cache and _kittentts_model_cache were keyed by voice/model
with no eviction, and each entry is a whole loaded model (tens of MB).
A surface that sweeps voices pinned one model per voice for the process
lifetime. New _tts_cache_get_or_load() get-or-loads through a small LRU
(_TTS_MODEL_CACHE_MAX=3), refreshing recency on a hit and evicting the
least-recently-used model on a cold miss.
Class-level sweep following the ElevenLabs salvage (#66311): every cloud
TTS provider section now honors tts.<provider>.base_url. xAI, MiniMax,
Gemini, OpenAI and DeepInfra already did; Mistral (SDK server_url) was
the remaining gap. Adds per-provider config tests locking in the
ElevenLabs environment plumbing and the Mistral server_url passthrough.
Salvaged from PR #66311 (@moeadham), rebased onto the current streaming
registry. tts.elevenlabs.base_url (+ optional wss_url, derived from
base_url when omitted) routes both the sync ElevenLabs path and the
chunked ElevenLabsStreamer through an ElevenLabsEnvironment, matching
the STT side's ELEVENLABS_STT_BASE_URL/config override pattern.
Salvaged from PR #26233 (@LeonSGP43), rebased onto the current 3-tuple
_resolve_openai_audio_client_config (is_managed flag, post-#73072 layout).
Same fix independently submitted earlier in PR #26209 (@zccyman) — credit
to both.
Resolution order now mirrors the STT resolver: tts.openai.api_key/base_url
from config.yaml -> VOICE_TOOLS_OPENAI_KEY/OPENAI_API_KEY env (still
honoring config base_url) -> managed gateway. _has_openai_audio_backend
also counts a config api_key as an available backend.
Fixes#26175
Replace
aise ImportError(str(e)) with pass in the except Exception
handler of _import_edge_tts(), _import_elevenlabs(), and
_import_mistral_client() so packages installed via PYTHONPATH or Docker
layered filesystems still work when lazy_deps.ensure() raises.
Also fix the Mistral STT path in transcription_tools.py which only
caught ImportError, not FeatureUnavailable.
Adds 6 regression tests using sys.modules fixtures (no
builtins.__import__ patching).
Rework of #68509 per triage: hoist the duplicated per-tool
_resolve_provider_key helpers into one owner,
tools.tool_backend_helpers.resolve_provider_secret(), and migrate every
STT/TTS key lookup site to it.
Resolution order: explicit config.yaml value > profile secret scope /
env / ~/.hermes/.env > credential pool (checks both '<provider>' and
'custom:<provider>' pool keys, so keys added via 'hermes auth add
mistral' or declared under providers.<name> both resolve). Under an
active multiplex turn the profile scope stays authoritative — no pool
or .env fallback that could borrow another profile's key (composes with
the #69469 scope fix).
Coverage now includes GROQ_API_KEY, MISTRAL_API_KEY, ELEVENLABS_API_KEY,
DEEPINFRA_API_KEY, MINIMAX_API_KEY, GEMINI_API_KEY/GOOGLE_API_KEY, the
XAI_API_KEY fallback in resolve_xai_http_credentials, and the OpenAI
audio key (resolve_openai_audio_api_key now pool-aware for
OPENAI_API_KEY via 'hermes auth add openai-api').
Unit tests: fake pool entry proves each provider resolves from the pool
when env is empty; env still wins when set; config wins over both; a
multiplex scope miss never borrows the pool; pool read failures never
raise; tool-level wiring for STT, TTS, xAI, and OpenAI audio.
Fixes#68003
TTS/STT providers (Mistral, ElevenLabs) only checked env vars and
.env files via get_env_value(), ignoring keys stored via
'hermes auth add mistral' / 'hermes auth add elevenlabs'.
Add _resolve_provider_key() helper that falls back to the credential
pool (agent.credential_pool.load_pool) when the env var is unset.
Affected:
- tools/transcription_tools.py: 6 sites (provider selection + auto-detect)
- tools/tts_tool.py: 6 sites (synthesis + availability check)
Fixes#68003
One sniffer owns magic-byte container detection (Teknium's one-concept-
one-owner rule): the new tools/audio_container.py is used by
- gateway/platforms/base.py _sniff_audio_ext (inbound cache — PR #36166's
central sniffer, now covering AAC/ADTS, MP4-brand disambiguation, webm)
- gateway/platforms/signal.py _guess_extension (audio/AV branches
delegated; RIFF/WAVE fix from PR #50690 and M4A-brand fix from
PR #72490 now live centrally)
- tools/tts_tool.py _sniff_audio_container (outbound repair, PR #73072)
cache_audio_from_url inherits the sniff via cache_audio_from_bytes.
Adds tests/tools/test_audio_container.py covering every magic-byte type,
wrong-extension repair on the inbound cache, unknown passthrough, the
URL path, and Signal's delegation.
Root-cause fix for the 'TTS voice bubble broken' issue family (#57048,
#54589, #57213, #58845, #14841, #45557, #57049). Two class-level defects:
1. Several backends silently write MP3/WAV bytes into a .ogg output path
(Edge only emits MP3, Piper writes WAV, xAI writes MP3, some
OpenAI-compatible servers ignore response_format=opus). Platforms that
need real Ogg/Opus render 0-second/broken voice bubbles. Instead of
per-provider patches, text_to_speech_tool now sniffs magic bytes once
after synthesis (_sniff_audio_container) and repairs the container
centrally (_repair_ogg_container): ffmpeg transcode in place, or rename
to the honest extension when ffmpeg is unavailable. Covers every
current and future provider, including command providers and plugins.
2. want_opus only recognized Telegram, so Matrix/Feishu/WhatsApp/Signal
auto-TTS voice replies were synthesized as MP3 and delivered as broken
attachments. New OPUS_VOICE_PLATFORMS set covers all voice-bubble
platforms.
_convert_to_opus refactored onto a shared _ffmpeg_transcode_to_opus that
supports safe in-place transcodes (-f ogg forced muxer, temp file +
os.replace).
Tests: tests/tools/test_tts_container_repair.py (13 tests incl. a live
ffmpeg round-trip); full TTS suite green (153 + 187 passed).
Salvaged from PR #45099 — the two popen_kwargs dict sites the #70875
AST sweep missed because the kwargs are built indirectly
(_run_command_stt, _run_command_tts).
On Windows with Chinese locale (GBK), subprocess.run(text=True) without
explicit encoding causes UnicodeDecodeError crashes. This fix adds
encoding='utf-8', errors='replace' to all subprocess.run() and
subprocess.Popen() calls that use text=True across 76 non-test Python files.
Fixes#53428 (master tracker for Windows GBK locale crash).
Note: credential_pool.py and electron changes excluded per reviewer request —
those will be submitted as separate focused PRs.
stream_tts_to_speaker() drops its hardcoded ElevenLabs client for
resolve_streaming_provider() + SentenceChunker, so any provider speaks
sentence-by-sentence while the model is still generating. Markdown
stripping also drops emoji — providers stall on them or read them out
loud.
Removes Homebrew and PyPI wheel/sdist as Hermes distribution paths while
preserving the supported source, Docker, and Nix workflows.
Changes:
- Removes the Homebrew formula, PyPI publish workflow, sdist manifest
(MANIFEST.in), and wheel/sdist release-attachment logic from scripts/release.py.
- Keeps setuptools metadata and entry points required by editable installs
and Docker/Nix builds, but adds a setup.py guard that rejects wheel/sdist
builds outside a sealed Nix derivation (HERMES_NIX_BUILD=1).
- Removes pip/Homebrew install detection, PyPI update checks, the pip
self-update path, the deprecation-banner state, the postinstall subcommand,
wheel data-directory fallbacks in agent/i18n.py and hermes_constants.py,
and the ACP Registry manifest/version-lockstep release logic.
- Adds /nix/store/ path detection so `nix run` / `nix profile install`
installs (which don't set HERMES_MANAGED) are correctly identified as
"nix" rather than falling through to "git"/"unknown".
- Retired install-method values ("pip", "homebrew") in existing
.install_method stamps (both code-scoped and home-scoped) are ignored by
the allowlist reader and fall through to "unknown" instead of resurrecting
a retired enum value.
- Updates Nix packaging to ship bare runtime data (locales, optional-mcps)
through store symlinks and wrapper env vars instead of wheel data-files.
- Removes the ACP Registry manifest/icon and their version-lockstep tests.
- Deletes or rewrites packaging, pip-update, Homebrew, and ACP Registry
tests; adds parametrized coverage for the packaging build guard covering
BOTH sdist and wheel paths (the guards live in separate cmdclass entries
— a passing sdist test proves nothing about the wheel path).
- Updates installation/platform documentation and related user-facing copy.
- Adjusts the supply-chain scan so deleted install-hook files do not trigger
a finding, while additions or modifications still require the existing
ci-reviewed label gate.
Supported installation paths (unchanged):
- git installer (install.sh)
- Docker
- Nix/NixOS
- editable development installs (uv sync, uv pip install -e ., pip install -e .)
Include the Hermes client name and version with Gemini inference, model and tier checks, and TTS requests. Add focused coverage for the request headers and keep the Gemini-specific context scoped to Google Gemini endpoints.
Sibling sites of the salvaged #47334 fix: xai/openai/elevenlabs/gemini/
mistral/piper/neutts subsection reads in transcription_tools.py and
tts_tool.py used .get(key, {}) which passes a present-but-null value
through as None. All provider-subsection reads now use .get(key) or {}.
Providers without a DEFAULT_CONFIG entry (e.g. stt.xai) were still
receiving None even after the load_config() deep-merge fix, since the
merge can only fill sections that have defaults.
When stt.local, tts.edge, or other config subsections are explicitly set
to null in config.yaml (which happens by default on a fresh --voice
setup), stt_config.get('local', {}) returns None instead of {} because
YAML null preserves the key. The chained .get('model') then crashes
with 'NoneType' object has no attribute 'get'.
Apply the defensive (x or {}) pattern to every place a config subsection
is read via .get('xxx', {}). Covers local, edge, openai, mistral, and
elevenlabs subsections in both transcription_tools.py and tts_tool.py.
Closes#47318
A user with tts.openai.model set to a direct-OpenAI model (e.g. tts-1-hd)
but no VOICE_TOOLS_OPENAI_KEY/OPENAI_API_KEY (or with tts.use_gateway)
routes TTS through the managed Nous audio gateway, which only proxies
gpt-4o-mini-tts. The request 400s with:
VALIDATION_ERROR: Unsupported managed OpenAI speech model
{'model': 'tts-1-hd', 'supportedModels': ['gpt-4o-mini-tts']}
_resolve_openai_audio_client_config now reports whether it resolved the
managed gateway; _generate_openai_tts coerces the model to a
managed-supported one (logging a warning that points at the direct-key
escape hatch) unless the user redirected base_url to their own endpoint.
Direct-key users keep their tts-1/tts-1-hd preference unchanged.
main (cb982ad99) wired windows_hide_flags() into the auxiliary git/gh/wmic/
bash/powershell/taskkill legs but left two it didn't reach, plus the Electron
backend-launch leg it explicitly deferred. Cover them the same way:
- apps/desktop/electron/main.cjs: getNoConsoleVenvPython resolves the BASE
pythonw.exe instead of the venv Scripts\pythonw.exe shim, which re-execs a
console python.exe and flashes a conhost the desktop backend can't suppress.
Both backend creators put the venv site-packages on PYTHONPATH so imports
still resolve under the base interpreter. (main's commit said this Electron
leg "needs a Windows-tested change of its own".)
- tools/tts_tool.py, tools/transcription_tools.py, plugins/platforms/discord:
ffmpeg conversions (voice notes / TTS / STT) via windows_hide_flags().
- plugins/platforms/whatsapp: netstat + taskkill bridge-port cleanup via
windows_hide_flags().
All no-ops on POSIX. Tests assert the base-pythonw preference and the ffmpeg
legs pass CREATE_NO_WINDOW.
* fix(windows): stop terminal-window popups from background spawns
Native-Windows desktop/gateway users saw cmd/conhost windows flash on
gateway restart, image paste, the dashboard Projects tree, voice notes,
and ~5 min after closing the app (detached cron). Two root causes:
- Console-subsystem exes (taskkill, schtasks, wmic, netstat, tasklist,
agent-browser, git, ffmpeg, powershell, git-bash) spawned via raw
subprocess allocate a fresh console when the launching process has
none (pythonw desktop backend / detached gateway) - even with output
captured.
- uv venv pythonw shims re-exec console python.exe, so Python children
get a console regardless of how they're launched.
Fixes:
- Single hidden-spawn primitive (_subprocess_compat.run/.popen) that ORs
CREATE_NO_WINDOW on Windows, no-op on POSIX. Route every Hermes-owned
console-exe spawn through it.
- FreeConsole() catch-all in hermes_bootstrap: any Python child that
exclusively owns an auto-allocated console detaches it at startup
(GetConsoleProcessList()==1 gate leaves shared interactive consoles
untouched).
- Replace PowerShell/wmic gateway PID scans with in-process psutil.
- Skip schtasks queries on non-interactive desktop restarts.
- Prefer native agent-browser .exe over .cmd shims.
- Guard test bans raw subprocess spawns of the Windows-only console
tools repo-wide so the popup class can't regress.
* fix(windows): scope FreeConsole to background entry points; fix merge fallout
Console detach review (per #53810 feedback): GetConsoleProcessList()==1 can't
tell a uv pythonw->python phantom console apart from a user opening the
interactive CLI/TUI in its own fresh console (double-click, shortcut, ConPTY) —
both report a single attached process with a tty. Running FreeConsole() in the
import-time bootstrap therefore risked detaching a legitimately-interactive
terminal.
- Extract FreeConsole into explicit hermes_bootstrap.detach_orphan_console();
remove it from apply_windows_utf8_bootstrap() (import side effect).
- Call it only from known background mains: gateway run, dashboard backend
(start_server, what the desktop spawns), cron standalone, tui_gateway entry,
slash worker. Interactive CLI/TUI never calls it.
- Behavior-contract tests: frees only when solo owner, leaves shared console,
no-op without console / on POSIX, and asserts it's not an import side effect.
Merge fallout from origin/main (#53791):
- local.py: 3-way merge left a dangling **_popen_kwargs (NameError crashing
every terminal init). _subprocess_compat.popen already hides the window, so
drop it.
- discord adapter: merge stacked an undefined windows_hide_flags() onto the
primitive call; drop the redundant arg.
- test_gateway: scan now goes psutil-first (zero spawn); rewrite the
case-variant test to drive that production path.
* test(claw): mock _subprocess_compat.run seam for Windows process scan
claw.py's Windows tasklist/powershell scan routes through the hidden-spawn
primitive; the tests still patched claw_mod.subprocess, so on win32 the mock
was never hit and real spawns returned nothing. Patch the actual seam.
* fix(windows): stop subprocess console-window popups + add CI guard
The single biggest source of Windows 'terminal popup' bug reports was bare
subprocess.run/Popen calls spawning a console window. The compat helpers
(windows_hide_flags / windows_detach_popen_kwargs) already existed but the
footgun checker had no rule to stop new bare calls from reintroducing the flash.
- scripts/check-windows-footguns.py: new AST-based rule flagging subprocess
calls that can create a new console — output-redirection-aware (capture/
redirect/check_output exempt) and POSIX-only-program-aware (launchctl/
systemctl/brew/etc. exempt). Comprehensive on real popups, no annotation
burden on calls that can't flash.
- Swept all genuine window-spawning sites through windows_hide_flags()/
windows_detach_popen_kwargs(); marked intentionally-visible launches
(editor/terminal/foreground re-exec) with '# windows-footgun: ok'.
- tests/scripts/test_windows_footgun_subprocess_rule.py: behavior-contract
tests + full-repo cleanliness invariant.
- CONTRIBUTING.md: documents the rule + the helper pattern.
* test: accept creationflags kwarg in psutil_android fake_subprocess_run
The Windows no-window sweep added creationflags=windows_hide_flags() to
install_psutil_android.py's subprocess.run call; the test's fake stub had a
fixed (cmd) signature and raised TypeError on the new kwarg.
The xAI TTS REST endpoint (POST /v1/tts) accepts 'speed' (0.7-1.5)
and 'optimize_streaming_latency' (0/1/2) parameters, but the Hermes
built-in xAI provider was reading neither from config nor sending
either in the request body. Add them as tts.xai.speed and
tts.xai.optimize_streaming_latency config knobs (with global
tts.speed / tts.optimize_streaming_latency fallbacks).
- speed: float, clamped to 0.7-1.5. 1.0 (the API default) is omitted
from the request body to preserve the existing minimal-payload
contract.
- optimize_streaming_latency: int, clamped to 0-2. 0 (best quality,
the API default) is omitted from the request body.
Resolver order: tts.xai.<knob> overrides the global tts.<knob>.
Mirrors the existing Gemini TTS audio-tag rewrite path. When the input
has no explicit user/model speech tags, ask the configured auxiliary
model to insert a richer set of xAI-supported tags (laughs, sighs,
whispers, soft/loud, slow/fast, etc.) so voice-mode replies sound more
expressive. Falls back to the local conservative [pause]-only transform
on any auxiliary-model failure.
The built-in Piper provider (tts.provider: piper, Python piper-tts
package) already constructs piper.SynthesisConfig for the advanced
tuning knobs, but did not forward speaker_id from the user config.
This wires tts.piper.speaker_id through to SynthesisConfig.speaker_id
so multi-speaker ONNX models (e.g. libritts_r) can be addressed via
config without dropping to the command-provider path.
Changes:
- Add speaker_id to the has_advanced tuple so setting it triggers
SynthesisConfig construction (same gating as the other knobs).
- Pass speaker_id=speaker_id to SynthesisConfig. Defaults to 0
(Piper's own default; single-speaker models ignore the field).
- Tolerant parse: bad input (non-int strings, lists, dicts) is
dropped to 0 instead of raising. Booleans are rejected outright
(True/False would silently coerce to 1/0 and hide a config
mistake). Mirrors the same shape as the command-provider's
_resolve_command_tts_optional_number helper.
speaker_id is applied per-call via syn_config.speaker_id, so the
PiperVoice cache key is intentionally left as just (model, cuda) --
the same loaded model serves all speakers. Tests cover the
config knob, the tolerant parse, and the no-reload invariant.
sentence_silence is intentionally not added here: the Python
piper-tts SynthesisConfig does not expose that field (CLI-only).
When Hermes runs in TUI mode, the gateway child process communicates with
the Node.js parent over a JSON-RPC protocol on stdin. Subprocess calls that
inherit this stdin fd can trigger a race condition where the child's stdin
read returns EOF, causing the gateway to exit cleanly (exit code 0) mid-tool-
execution.
This is the same root cause as issue #14036 (byterover plugin) and PR #39257
(SSH environment backend). This commit applies the fix — stdin=subprocess.DEVNULL
— to all 85 subprocess.run() and subprocess.Popen() calls that execute inside
the TUI gateway child process.
Scope: TUI-context code only (agent/, tools/, plugins/, tui_gateway/server.py).
CLI code (cli.py, hermes_cli/), tests, scripts, and gateway process management
are excluded — they don't run inside the TUI child and inherit the terminal's
stdin, not the JSON-RPC pipe.
85 call sites across 28 files. All files pass syntax check.
The MiniMax t2a_v2 code path calls response.json() without first
checking the HTTP status code. If the API returns HTTP 4xx/5xx with
non-JSON content (e.g. HTML error page), response.json() raises an
opaque JSONDecodeError instead of a clear HTTPError.
The non-t2a_v2 path already has response.raise_for_status() at line
1299. Add the same check before response.json() in the t2a_v2 path
for consistent error handling.
* docs(code-execution): document HERMES_* env narrowing + passthrough workaround
The execute_code sandbox-child env scrub (108397726, #27303) deliberately
dropped the broad HERMES_ prefix passthrough, keeping only an operational
4-var allowlist (HERMES_HOME/PROFILE/CONFIG/ENV). A script that relied on a
non-secret HERMES_* var (HERMES_BASE_URL, HERMES_KANBAN_DB, HERMES_*_WEBHOOK,
or a plugin-defined one) now sees it unset in the child.
Document the behavior change and the two recovery routes (terminal.env_passthrough
in config.yaml, or required_environment_variables in skill frontmatter), plus
the debug log line that surfaces the drop for diagnosis.
* fix(stt,tts): restore mistralai — 2.4.8 is clean, ban lifted
PyPI quarantined mistralai on 2026-05-12 after the malicious 2.4.6
release (Mini Shai-Hulud worm). 2.4.6 has since been removed from the
registry and clean releases resumed (2.4.7 2026-05-25, 2.4.8 2026-05-28).
This rolls back the blanket runtime ban so Voxtral STT + TTS work again,
following the restoration checklist the repo left in pyproject.toml.
Verified against the real SDK: 2.4.8 keeps the import path the code uses
(from mistralai.client import Mistral) and the audio.transcriptions.complete
/ audio.speech.complete surfaces.
Changes:
- pyproject.toml: re-add mistral extra pinned to mistralai==2.4.8; left
OUT of [all] per the 2026-05-12 lazy-install policy (one quarantined
release must not break fresh installs). uv.lock regenerated.
- tools/lazy_deps.py: add stt.mistral / tts.mistral entries so the SDK
lazy-installs on first use (matches edge / elevenlabs).
- tools/transcription_tools.py: restore explicit-provider gate
(_HAS_MISTRAL + key) and auto-detect entry (local>groq>openai>mistral>xai);
_transcribe_mistral lazy-installs before import.
- tools/tts_tool.py: dispatcher routes back to _generate_mistral_tts;
_import_mistral_client lazy-installs the SDK.
- hermes_cli/tools_config.py, hermes_cli/web_server.py: un-hide Mistral
from the TTS provider picker and dashboard STT options.
- hermes_cli/security_advisories.py: KEEP the shai-hulud-2026-05 advisory
(module policy forbids removal) — it is scoped to 2.4.6 only, so it
still warns anyone with the poisoned build cached and never fires on
2.4.8. Summary note updated to reflect the un-quarantine.
- tests: revert the disabled-behavior assertions added by the ban commit
back to routing/positive expectations; add mistral to the
lazy-installable-extras-excluded-from-[all] contract.
Reported by @SkYNewZ (#34503).
Validation: 189 targeted STT/TTS/lazy_deps/metadata tests pass; E2E with
the real mistralai 2.4.8 SDK routes both STT and TTS to mistral.
