Adds a parallel LLM backend that bypasses OpenClaw and talks to
Anthropic Messages API directly. Selected via LLM_BACKEND=claude in
.env; default remains openclaw so nothing breaks for existing setup.
Why: OpenClaw gateway adds 500-1000ms overhead on every turn (auth,
memory fetch, routing). Direct Haiku 4.5 + prompt caching = faster
first token and -90% cost on cached chunks.
- satellite/llm_claude.py — Anthropic SDK streaming client, prompt
caching on system prompt and all-but-last-2 history messages, per
agent+date JSON history in HISTORY_DIR, reset_history() for the
'сбрось' command, per-agent system prompts (Cosmo / Люся), fallback
to error event if SDK/key missing.
- satellite/llm.py — dispatches to ask_claude_stream when backend=claude,
exports LLM_BACKEND so modes.py can route reset too.
- satellite/modes.py — _handle_reset calls reset_history when backend
is claude, keeps /new POST for openclaw.
- requirements.txt — anthropic >= 0.50.0
- .env.example — LLM_BACKEND, ANTHROPIC_API_KEY, ANTHROPIC_MODEL,
HISTORY_DIR, MAX_HISTORY, HTTPS_PROXY block for non-RU egress.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- audio: switch VAD to webrtcvad with RMS gate + fallback to RMS
- audio: honor FOLLOWUP_TIMEOUT — short silence wait after bot response
- llm: retry with exponential backoff on network errors and 5xx
- llm: VOICE_MAX_TOKENS env (default 300) instead of hardcoded 150
- tts: optional VAD-based barge-in (BARGE_IN_ENABLED, off by default)
- tts: remove dead start_barge_in_listener / was_barge_in helpers
- config: drop AGENT/LUSYA_AGENT — routing happens via session_key
- modes: remove unused imports, pass FOLLOWUP_TIMEOUT to follow-up record()
- docs: full rewrite of README and CLAUDE.md to match current architecture
- 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
