MAX_HISTORY_MESSAGES=10
MAX_TOOL_ITERATIONS=10
REQUEST_TIMEOUT=30

# LLM Settings
LLM_TEMPERATURE=0.2

# Persistence
DATA_STORAGE_DIR=data

# Network configuration
HOST=0.0.0.0
PORT=3080

# Build informations (Synced with pyproject.toml via bootstrap)
ALFRED_VERSION=
IMAGE_NAME=
LIBRECHAT_VERSION=
PYTHON_VERSION=
PYTHON_VERSION_SHORT=
RAG_VERSION=
RUNNER=
SERVICE_NAME=

# --- SECURITY KEYS (CRITICAL) ---
# These are used for session tokens and encrypting sensitive data in MongoDB.
# If you lose these, you lose access to encrypted stored credentials.
JWT_SECRET=
JWT_REFRESH_SECRET=
CREDS_KEY=
CREDS_IV=

# --- DATABASES (AUTO-SECURED) ---
# Alfred uses MongoDB for application state and PostgreSQL for Vector RAG.
# Passwords will be generated as 24-character secure tokens if left blank.

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

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

# --- EXTERNAL SERVICES ---
# Media Metadata (Required)
# Get your key at https://www.themoviedb.org/
TMDB_API_KEY=
TMDB_BASE_URL=https://api.themoviedb.org/3

# qBittorrent integration
QBITTORRENT_URL=http://qbittorrent:16140
QBITTORRENT_USERNAME=admin
QBITTORRENT_PASSWORD=
QBITTORRENT_PORT=16140

# Meilisearch
MEILI_ENABLED=FALSE
MEILI_NO_ANALYTICS=TRUE
MEILI_HOST=http://meilisearch:7700
MEILI_MASTER_KEY=

# --- LLM CONFIGURATION ---
# Providers: 'local', 'openai', 'anthropic', 'deepseek', 'google', 'kimi'
DEFAULT_LLM_PROVIDER=local

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

# --- API KEYS (OPTIONAL) ---
# Fill only the ones you intend to use.
ANTHROPIC_API_KEY=
DEEPSEEK_API_KEY=
GOOGLE_API_KEY=
KIMI_API_KEY=
OPENAI_API_KEY=

# --- RAG ENGINE ---
# Enable/Disable the Retrieval Augmented Generation system
RAG_ENABLED=TRUE
RAG_API_URL=http://rag_api:8000
RAG_API_PORT=8000
EMBEDDINGS_PROVIDER=ollama
EMBEDDINGS_MODEL=nomic-embed-text