74 lines
1.8 KiB
Bash
74 lines
1.8 KiB
Bash
# --- 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=LibreChat
|
|
|
|
# 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=http://qbittorrent:16140
|
|
QBITTORRENT_USERNAME=admin
|
|
QBITTORRENT_PORT=16140
|
|
|
|
# Meilisearch
|
|
# → MEILI_MASTER_KEY goes in .env.secrets
|
|
MEILI_ENABLED=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=local
|
|
|
|
# Local LLM (Ollama)
|
|
OLLAMA_BASE_URL=http://ollama:11434
|
|
OLLAMA_MODEL=llama3.3: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
|