.env.example

# Athena Voice Assistant Environment Variables

# API Keys
GROQ_API_KEY=your_groq_api_key_here
OPENWEATHER_API_KEY=your_openweather_api_key_here
BRAVE_SEARCH_API_KEY=your_brave_search_api_key_here
BRAVE_SEARCH_RATE_LIMIT_DELAY=1.2  # Delay in seconds between Brave Search API calls to avoid rate limiting

# Model selections
# LLM_MODEL=llama-3.1-8b-instant
LLM_MODEL=llama-3.3-70b-versatile
STT_MODEL=distil-whisper-large-v3-en

# TTS settings
TTS_VOICE=en-US-JennyNeural  # For edge-tts fallback
OUTPUT_FILE=response.wav

# Coqui TTS settings
USE_COQUI=True
# Available models can be found at https://github.com/coqui-ai/TTS/tree/dev/TTS/tts/configs
# Recommended models for better quality:
COQUI_MODEL=tts_models/en/ljspeech/tacotron2-DDC
# COQUI_MODEL=tts_models/en/ljspeech/glow-tts
# COQUI_MODEL=tts_models/en/ljspeech/fast_pitch
# COQUI_MODEL=tts_models/en/vctk/vits
# COQUI_MODEL=tts_models/en/vctk/fast_pitch
# COQUI_MODEL=tts_models/multilingual/multi-dataset/your_tts
# COQUI_MODEL=tts_models/en/jenny/jenny
# For the most natural voice (but requires more resources):
# COQUI_MODEL=tts_models/multilingual/multi-dataset/xtts_v2

# Speaker ID for multi-speaker models (like VCTK/VITS)
# For VCTK models, available speakers include: p225, p226, p227, etc.
# Use the list_speakers.py script to see all available speakers for a model
# COQUI_SPEAKER=p225

# Language for multi-lingual models (like XTTSv2)
# For XTTSv2, available languages include: en, es, fr, de, it, pt, pl, tr, ru, nl, cs, ar, zh-cn, ja, ko, hu
# Use the list_xtts_speakers.py script to see all available languages for a model
COQUI_LANGUAGE=en

# For the vocoder setting, it's now handled automatically by the TTS API
# The vocoder setting below is only used if you switch back to the older implementation
COQUI_VOCODER=vocoder_models/en/ljspeech/hifigan_v2

# Audio recording parameters
SAMPLE_RATE=16000
CHANNELS=1
MAX_RECORD_SECONDS=30
SILENCE_THRESHOLD=100
SILENCE_DURATION=0.8
ADAPTIVE_THRESHOLD=True
DEBUG_MODE=True

# Note: System prompt is defined directly in the code with current date and time

# LLM parameters
LLM_MAX_TOKENS=100
LLM_TEMPERATURE=0.4