356543afdb
Allows removing all GATEWAY_*, VOICE_MODEL, *_SESSION_KEY env vars when running on the Claude direct backend. The OpenClaw hard-exit check now only fires when that backend is actually selected.
94 lines
3.6 KiB
Python
94 lines
3.6 KiB
Python
import os
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import sys
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import logging
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import requests as _requests
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from dotenv import load_dotenv
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from groq import Groq
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load_dotenv()
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# Логгер — ошибки в файл + короткое сообщение в консоль
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LOG_FILE = os.getenv("LOG_FILE", "errors.log")
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logging.basicConfig(
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level=logging.WARNING,
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format="%(asctime)s [%(levelname)s] %(name)s: %(message)s",
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handlers=[
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logging.FileHandler(LOG_FILE, encoding="utf-8"),
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],
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)
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log = logging.getLogger("cosmo")
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# Какой LLM backend — openclaw (дефолт) или claude (прямой Anthropic).
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# В конфиге используется для решения «требовать ли OpenClaw credentials».
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LLM_BACKEND_CFG = os.getenv("LLM_BACKEND", "openclaw").lower()
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# OpenClaw Gateway — Cosmo
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# Нужны только если LLM_BACKEND=openclaw. При claude-бэкенде остаются пустыми — это ок.
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GATEWAY_URL = os.getenv("GATEWAY_URL", "")
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GATEWAY_TOKEN = os.getenv("GATEWAY_TOKEN", "")
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VOICE_MODEL = os.getenv("VOICE_MODEL", "")
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# OpenClaw Gateway — Люся
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LUSYA_GATEWAY_URL = os.getenv("LUSYA_GATEWAY_URL", "")
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LUSYA_GATEWAY_TOKEN = os.getenv("LUSYA_GATEWAY_TOKEN", GATEWAY_TOKEN)
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LUSYA_VOICE_MODEL = os.getenv("LUSYA_VOICE_MODEL", VOICE_MODEL)
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# Keep-alive HTTP сессии — переиспользуют TCP/TLS соединения
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def _make_session(token: str) -> _requests.Session:
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s = _requests.Session()
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s.headers.update({
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"Authorization": f"Bearer {token}",
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"Content-Type": "application/json",
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})
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return s
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# Конфиги агентов по имени
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AGENTS = {
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"cosmo": {
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"name": "Cosmo",
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"gateway_url": GATEWAY_URL,
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"voice_model": VOICE_MODEL,
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"session_key": os.getenv("COSMO_SESSION_KEY", "agent:main:voice:home"),
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"tts_voice": os.getenv("COSMO_TTS_VOICE", ""),
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"session": _make_session(GATEWAY_TOKEN),
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},
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"lusya": {
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"name": "Люся",
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"gateway_url": LUSYA_GATEWAY_URL,
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"voice_model": LUSYA_VOICE_MODEL,
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"session_key": os.getenv("LUSYA_SESSION_KEY", "agent:wife:voice:home"),
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"tts_voice": os.getenv("LUSYA_TTS_VOICE", ""),
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"session": _make_session(LUSYA_GATEWAY_TOKEN),
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},
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}
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# Audio (на Pi: PulseAudio BT sink)
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AUDIO_SINK = os.getenv("AUDIO_SINK", "")
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# VAD
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SILENCE_THRESHOLD = int(os.getenv("SILENCE_THRESHOLD", "500"))
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SILENCE_DURATION = float(os.getenv("SILENCE_DURATION", "1.5"))
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MAX_DURATION = int(os.getenv("MAX_DURATION", "15"))
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FOLLOWUP_TIMEOUT = float(os.getenv("FOLLOWUP_TIMEOUT", "8"))
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VAD_AGGRESSIVENESS = int(os.getenv("VAD_AGGRESSIVENESS", "2")) # webrtcvad 0..3
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# LLM
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VOICE_MAX_TOKENS = int(os.getenv("VOICE_MAX_TOKENS", "300"))
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LLM_RETRIES = int(os.getenv("LLM_RETRIES", "3"))
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# Barge-in (прерывание TTS голосом)
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# Работает только при разнесённых колонке/мике или в наушниках — иначе эхо собственного TTS
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# будет триггерить прерывание. По умолчанию выключен.
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BARGE_IN_ENABLED = os.getenv("BARGE_IN_ENABLED", "false").lower() in ("1", "true", "yes")
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BARGE_IN_THRESHOLD = int(os.getenv("BARGE_IN_THRESHOLD", "1500")) # RMS, обычно > SILENCE_THRESHOLD
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BARGE_IN_WARMUP = float(os.getenv("BARGE_IN_WARMUP", "0.8")) # сек пропуска в начале TTS
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# Groq client
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groq_client = Groq(api_key=os.getenv("GROQ_API_KEY"))
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if LLM_BACKEND_CFG == "openclaw" and not GATEWAY_TOKEN:
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print("❌ GATEWAY_TOKEN не задан в .env (нужен для LLM_BACKEND=openclaw)")
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sys.exit(1)
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