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
# ===== 图谱构建引擎配置 =====
# 默认引擎:"claude" 或 "zep",也可在前端 Step 02 卡片中按项目切换
GRAPH_ENGINE_DEFAULT=claude
# ----- Claude 图谱引擎(默认,Graphify 风格的 Claude Code 智能体抽取) -----
# https://console.anthropic.com/
ANTHROPIC_API_KEY=your_anthropic_api_key_here
CLAUDE_MODEL_NAME=claude-sonnet-5
# 如需通过自建网关/代理访问 Anthropic API,可选填
# ANTHROPIC_BASE_URL=https://your-proxy.example.com
# ----- Zep记忆图谱配置(可选,切换引擎为 zep 时需要) -----
# 每月免费额度即可支撑简单使用:https://app.getzep.com/
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