docs(env): document GRAPH_BACKEND, Neo4j, and Gemini configuration
Add commented sections for the new pluggable graph backend and Gemini LLM provider options so users know what variables are available. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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.env.example
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.env.example
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# LLM API配置(支持 OpenAI SDK 格式的任意 LLM API)
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# 推荐使用阿里百炼平台qwen-plus模型:https://bailian.console.aliyun.com/
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# 注意消耗较大,可先进行小于40轮的模拟尝试
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# ===== LLM Configuration =====
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# Any OpenAI-compatible API is supported
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LLM_API_KEY=your_api_key_here
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LLM_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
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LLM_MODEL_NAME=qwen-plus
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# ===== ZEP记忆图谱配置 =====
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# 每月免费额度即可支撑简单使用:https://app.getzep.com/
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# --- Gemini (Google AI Studio) ---
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# Set LLM_PROVIDER=gemini to auto-configure the Google AI Studio endpoint.
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# Get a free API key at: https://aistudio.google.com/
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# LLM_PROVIDER=gemini
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# LLM_API_KEY=AIza...
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# LLM_MODEL_NAME=gemini-2.0-flash
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# ===== Graph Backend =====
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# GRAPH_BACKEND=zep (default) — Zep Cloud managed memory graph
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# GRAPH_BACKEND=graphiti — Self-hosted Neo4j + Graphiti (requires graphiti extras)
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GRAPH_BACKEND=zep
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# --- Zep Cloud (default backend) ---
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# Free tier available: https://app.getzep.com/
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ZEP_API_KEY=your_zep_api_key_here
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# --- Graphiti + Neo4j (alternative backend) ---
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# Install extras: pip install "mirofish-backend[graphiti]"
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# NEO4J_URI=bolt://localhost:7687
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# NEO4J_USER=neo4j
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# NEO4J_PASSWORD=your_neo4j_password_here
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# ===== 加速 LLM 配置(可选)=====
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# 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
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LLM_BOOST_API_KEY=your_api_key_here
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