Switch wake word from Porcupine to openwakeword + training pipeline

- Add training/ pipeline (step_1..step_5) and own-samples flow
- record_wav.py with single-shot and long-record modes, RMS-based silence filter
- remove_silent.py to drop silent samples and renumber
- modes.py: openwakeword inference with reset() and quiet predictions; commented Lusya block for later
- stt.py: drop local faster-whisper fallback, Groq-only
- config.py: remove unused STT_PROVIDER/WHISPER_*
- llm.py: replace __import__("os") hack with proper import
- tts.py: remove debug traceback in play_error_sound
- requirements.txt: add openwakeword/sounddevice/scipy, drop faster-whisper
- deploy/setup.sh: validate ELEVENLABS_API_KEY and WAKE_WORD_COSMO presence
- README.md, CLAUDE.md, project_roadmap memory updated to reflect new architecture

satellite/config.py

@@ -63,11 +63,6 @@ AGENTS = {
     },
 }
 
-# STT
-STT_PROVIDER  = os.getenv("STT_PROVIDER", "groq")
-WHISPER_MODEL = os.getenv("WHISPER_MODEL", "small")
-WHISPER_LANG  = os.getenv("WHISPER_LANGUAGE", "ru")
-
 # Audio (на Pi: PulseAudio BT sink)
 AUDIO_SINK = os.getenv("AUDIO_SINK", "")