# ===== LLM Configuration =====
# Any OpenAI-compatible API is supported
LLM_API_KEY=your_api_key_here
LLM_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
LLM_MODEL_NAME=qwen-plus

# --- Gemini (Google AI Studio) ---
# Set LLM_PROVIDER=gemini to auto-configure the Google AI Studio endpoint.
# Get a free API key at: https://aistudio.google.com/
# LLM_PROVIDER=gemini
# LLM_API_KEY=AIza...
# LLM_MODEL_NAME=gemini-2.0-flash

# ===== Graph Backend =====
# GRAPH_BACKEND=zep      (default) — Zep Cloud managed memory graph
# GRAPH_BACKEND=graphiti — Self-hosted Neo4j + Graphiti (requires graphiti extras)
GRAPH_BACKEND=zep

# --- Zep Cloud (default backend) ---
# Free tier available: https://app.getzep.com/
ZEP_API_KEY=your_zep_api_key_here

# --- Graphiti + Neo4j (alternative backend) ---
# Install extras: pip install "mirofish-backend[graphiti]"
# NEO4J_URI=bolt://localhost:7687
# NEO4J_USER=neo4j
# NEO4J_PASSWORD=your_neo4j_password_here

# ===== 加速 LLM 配置（可选）=====
# 注意如果不使用加速配置，env文件中就不要出现下面的配置项
LLM_BOOST_API_KEY=your_api_key_here
LLM_BOOST_BASE_URL=your_base_url_here
LLM_BOOST_MODEL_NAME=your_model_name_here

# ===== Autenticació =====
# Contrasenya de l'usuari "demo" — OBLIGATORI establir en producció
# Default buit = login deshabilitat fins que s'estableixi
DEMO_PASSWORD=

# Flask secret key — per signar tokens JWT
# Generar amb: python -c "import secrets; print(secrets.token_hex(32))"
SECRET_KEY=your-secret-key-here