# LLM orchestration/extraction plus direct ASR/TTS.
OPENAI_API_KEY=
OPENAI_MODEL=gpt-4.1-mini
OPENAI_ASR_MODEL=whisper-1
OPENAI_TTS_MODEL=tts-1

# Text-model alternatives. The demo tries configured endpoints in order; ASR/TTS
# still require a direct audio provider.
# MOONSHOT_API_KEY=
# MOONSHOT_MODEL=kimi-k3
# ARK_API_KEY=
# ARK_MODEL=doubao-seed-1-6-250615

# Optional OpenAI-compatible endpoint for text decisions only. Direct OpenAI is
# still required for microphone ASR/TTS.
# OPENAI_BASE_URL=
# OPENROUTER_API_KEY=

# Tune only if the microphone clips speech or waits too long at sentence end.
VOICE_SAMPLE_RATE=16000
VOICE_SILENCE_SECONDS=0.9
VOICE_RMS_THRESHOLD=0.012
AUDIO_PLAYER=afplay

# WebRTC audio provider. "auto" prefers local say/espeak + Gemini ASR when
# available, otherwise OpenAI TTS/ASR. Explicit choices: openai, gemini-system,
# local-whisper. For local-whisper, install openai-whisper or point to an existing
# environment; the audio and transcript are both ephemeral.
WEBRTC_SPEECH_PROVIDER=auto
GEMINI_API_KEY=
GEMINI_ASR_MODEL=gemini-2.5-flash
WHISPER_PYTHON=
WHISPER_MODEL=tiny

# Optional legacy Twilio transport. TWILIO_WEBHOOK_BASE_URL must point (via an
# HTTPS tunnel/reverse proxy) to TWILIO_LOCAL_PORT; WebRTC needs none of these.
TWILIO_ACCOUNT_SID=
TWILIO_AUTH_TOKEN=
TWILIO_FROM_NUMBER=
PHONE_USER_NUMBER=
TWILIO_WEBHOOK_BASE_URL=
TWILIO_LOCAL_PORT=8765
TWILIO_LANGUAGE=zh-CN
TWILIO_VOICE=Google.zh-CN-Standard-A