# LLM API配置（支持 OpenAI SDK 格式的任意 LLM API）
# 推荐使用阿里百炼平台qwen-plus模型：https://bailian.console.aliyun.com/
# 注意消耗较大，可先进行小于40轮的模拟尝试
LLM_API_KEY=your_api_key_here
LLM_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
LLM_MODEL_NAME=qwen-plus

# ===== Neo4j (Graphiti backend) =====
# Use bolt://localhost:7687 when running backend on host
# Use bolt://neo4j:7687 when running backend inside docker-compose
NEO4J_URI=bolt://localhost:7687
NEO4J_USER=neo4j
NEO4J_PASSWORD=your_neo4j_password

# ===== Embedding (for Graphiti vector search) =====
# Leave EMBEDDING_API_KEY empty to fall back to LLM_API_KEY
EMBEDDING_API_KEY=
EMBEDDING_BASE_URL=https://api.openai.com/v1
EMBEDDING_MODEL=text-embedding-3-small

# ===== Graphiti tuning (optional) =====
SEMAPHORE_LIMIT=10
CHUNK_TOKEN_SIZE=3000
USE_PARALLEL_RUNTIME=false

# ===== 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