MicroFish/.env.example

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# 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
# ===== 图数据库配置 =====
# 默认使用本地 Neo4j 替代 Zep Cloud
GRAPH_BACKEND=neo4j
NEO4J_URI=bolt://localhost:7687
NEO4J_USERNAME=neo4j
NEO4J_PASSWORD=password
NEO4J_DATABASE=neo4j
# ===== ZEP记忆图谱配置可选旧后端 =====
# 若设置 GRAPH_BACKEND=zep则需要配置此项
ZEP_API_KEY=your_zep_api_key_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