* feat: add STT voice transcription for all channels
Automatically transcribes audio/voice messages (Telegram, WeChat, Slack,
etc.) into text before the agent sees them. Enabled via config, off by default.
Changes:
- EvoScientist/stt.py: new STT engine using faster-whisper with lazy
model loading and per-language model selection (zh/en/auto)
- EvoScientist/channels/base.py: hook in _enqueue_raw() to transcribe
audio files and prepend transcript to message text; removes the raw
[voice: ...] annotation after successful transcription so the agent
does not attempt further audio processing
- EvoScientist/config/settings.py: stt_enabled (default False),
stt_language (default "auto")
- pyproject.toml: optional [stt] dependency group (faster-whisper>=1.0)
- tests/test_stt.py: unit tests covering all backends and channel integration
Usage:
pip install 'EvoScientist[stt]'
EvoSci config set stt_enabled true
EvoSci config set stt_language zh # zh / en / auto
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix: remove unused imports (ruff F401)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
* fix: address PR #28 reviewer feedback
Changes per SemiGlassFace review (CHANGES_REQUESTED):
1. Cache config at channel __init__ — no longer calls load_config() on
every incoming message; STT settings stored as instance attributes
(_stt_enabled, _stt_language, _stt_model, _stt_device,
_stt_compute_type) set once during Channel.__init__().
2. Replace deprecated asyncio.get_event_loop() with get_running_loop()
to avoid DeprecationWarning on Python 3.12+.
3. Annotation removal now uses exact path matching instead of substring
search — checks fp == a or a.endswith(f": {fp}]") so only the
correct annotation is removed after transcription.
4. Expose stt_model, stt_device, stt_compute_type as config fields so
users can override the HuggingFace model id, inference device, and
quantisation without touching code. transcribe_file() forwards all
three to the engine.
Also: _engines dict replaced with single _engine + _engine_key tuple
(model_id, device, compute_type) — reuses cached model unless settings
change, simpler than a dict.
Tests: 19 STT-specific tests all pass; total 1105 tests green, ruff clean.
* fix: resolve ruff lint errors (UP037, I001, PT006)
* style: apply ruff format
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Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Jiao Huifeng