# didiAI Platform - Environment Configuration
# =============================================================================
# Copy this file to .env and configure the required values
#
# Usage:
#   cp .env.example .env
#   nano .env  # Edit and fill in your values
#   ./didiAI-deploy.sh up
#
# =============================================================================

# =============================================================================
# REQUIRED - Hugging Face (for model downloads)
# =============================================================================
# Get your token from: https://huggingface.co/settings/tokens
HF_TOKEN=your_huggingface_token_here

# Model cache directory (shared across all modules)
# Default: /cai2_ds_storage/hf_cache
HF_CACHE_DIR=/cai2_ds_storage/hf_cache

# =============================================================================
# REQUIRED - SearXNG (for Web module search)
# =============================================================================
# The Web module uses SearXNG (self-hosted metasearch engine) as its primary
# search provider. SearXNG must be running and accessible.
# Deploy SearXNG via its own docker-compose or use an existing instance.
WEB_SEARXNG_BASE_URL=http://didiAI-web-searxng:8080

# =============================================================================
# OPTIONAL - External LLM APIs (fallback/litellm backend)
# =============================================================================
# Only needed if using litellm backend or external fallbacks

# OpenRouter API (multiple models via one API)
# Get key from: https://openrouter.ai/keys
OPENROUTER_API_KEY=

# OpenAI API (for GPT models)
OPENAI_API_KEY=

# Anthropic API (for Claude models)
ANTHROPIC_API_KEY=

# =============================================================================
# OPTIONAL - Module Configuration
# =============================================================================

# LLM Module (defaults are set by deploy script)
LLM_DEFAULT_BACKEND=vllm
LLM_ENABLE_VLLM=true
LLM_ENABLE_LLAMACPP=false

# Audio Module (defaults are set by deploy script)
AUDIO_MODEL=large-v3-turbo
AUDIO_DEVICE=cuda
AUDIO_COMPUTE_TYPE=int8
AUDIO_CACHE_DIR=/cai2_ds_storage/hf_cache

# Video Module (defaults are set by deploy script)
VIDEO_ANALYSIS_VLLM_BASE_URL=http://didiAI-video-vllm-buster:8000
VIDEO_ANALYSIS_VLLM_MODEL=busterx
VIDEO_ANALYSIS_RUNS_DIR=/home/vasi/ml-projects/modules/video-analysis/runs

# Web Module (defaults are set automatically)
WEB_LLM_BASE_URL=http://didiAI-llm-api:14011
WEB_VISION_MODEL=qwen-vl
WEB_TEXT_MODEL=qwen3-235b

# =============================================================================
# GPU Configuration
# =============================================================================
# GPU 0: Qwen3.5-35B-A3B (text + vision, ~57GB VRAM) + Whisper (~2GB)
#
# CUDA_VISIBLE_DEVICES is set per module in docker-compose.yml
# No need to configure here unless changing GPU allocation

# =============================================================================
# Nginx Timeouts (optional tuning)
# =============================================================================
NGINX_CONNECT_TIMEOUT=60s
NGINX_SEND_TIMEOUT=120s
NGINX_READ_TIMEOUT=600s

# =============================================================================
# Logging (optional)
# =============================================================================
# Log levels: DEBUG, INFO, WARNING, ERROR, CRITICAL
CATALOG_LOG_LEVEL=INFO
AUDIO_LOG_LEVEL=INFO
WEB_LOG_LEVEL=INFO