# --- IMPORTANT ---
# Settings are split across multiple files for clarity.
# Files (loaded in this order, last wins):
#   .env.alfred   — app config and service addresses (safe to commit)
#   .env.secrets  — generated secrets, passwords, URIs and API keys (DO NOT COMMIT)
#   .env.make     — build metadata synced from pyproject.toml (safe to commit)
#
# To customize: edit .env.alfred for config, .env.secrets for secrets.

# --- Alfred ---
MAX_HISTORY_MESSAGES=10
MAX_TOOL_ITERATIONS=10
REQUEST_TIMEOUT=30

# LLM Settings
LLM_TEMPERATURE=0.2

# Persistence
DATA_STORAGE_DIR=data

# Network
HOST=0.0.0.0
PORT=3080

# --- DATABASES ---
# Passwords and connection URIs are auto-generated in .env.secrets.
# Edit host/port/user/dbname here if needed.

# MongoDB (Application Data)
MONGO_HOST=mongodb
MONGO_PORT=27017
MONGO_USER=alfred
MONGO_DB_NAME=alfred

# PostgreSQL (Vector Database / RAG)
POSTGRES_HOST=vectordb
POSTGRES_PORT=5432
POSTGRES_USER=alfred
POSTGRES_DB_NAME=alfred

# --- EXTERNAL SERVICES ---

# TMDB — Media metadata (required). Get your key at https://www.themoviedb.org/
# → TMDB_API_KEY goes in .env.secrets
TMDB_BASE_URL=https://api.themoviedb.org/3

# qBittorrent
# → QBITTORRENT_PASSWORD goes in .env.secrets
QBITTORRENT_URL=https://qb.lan.anustart.top
QBITTORRENT_USERNAME=letmein
QBITTORRENT_PORT=16140
# Path translation: host-side prefix → container-side prefix
QBITTORRENT_HOST_PATH=/mnt/testipool
QBITTORRENT_CONTAINER_PATH=/mnt/data

# Meilisearch
# → MEILI_MASTER_KEY goes in .env.secrets
# MEILI_ENABLED=false # KEY DOESN'T EXISTS => SEARCH IS THE PROPER KEY
SEARCH=false
MEILI_NO_ANALYTICS=true
MEILI_HOST=http://meilisearch:7700

# --- LLM CONFIGURATION ---
# Providers: local, openai, anthropic, deepseek, google, kimi
# → API keys go in .env.secrets
DEFAULT_LLM_PROVIDER=deepseek

# Local LLM (Ollama)
#OLLAMA_BASE_URL=http://ollama:11434
#OLLAMA_MODEL=llama3.3:latest

OLLAMA_BASE_URL=http://10.0.0.11:11434
OLLAMA_MODEL=glm-4.7-flash:latest

# --- RAG ENGINE ---
RAG_ENABLED=TRUE
RAG_API_URL=http://rag_api:8000
RAG_API_PORT=8000
EMBEDDINGS_PROVIDER=ollama
EMBEDDINGS_MODEL=nomic-embed-text