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# =============================================================================
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# Docker Compose 服务器部署配置
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# 用法: cp .env.docker .env 然后修改 API Key
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# =============================================================================
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# -----------------------------------------------------------------------------
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# AI 模型 API 密钥（必需 - 请填入真实值）
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# -----------------------------------------------------------------------------
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ZHIPUAI_API_KEY=your_api_key_here
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DEEPSEEK_API_KEY=your_deepseek_api_key_here
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LLAMACPP_API_KEY=token-abc123
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# -----------------------------------------------------------------------------
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# llama.cpp 服务配置
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# -----------------------------------------------------------------------------
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# 主 LLM 服务 (Gemma-4-E2B GGUF) - 端口 8081
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VLLM_BASE_URL=http://localhost:8081/v1
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# Embedding 服务 (embeddinggemma-300M GGUF) - 端口 8082
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VLLM_EMBEDDING_URL=http://localhost:8082/v1
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# -----------------------------------------------------------------------------
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# Mem0 记忆层配置
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# -----------------------------------------------------------------------------
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# ⭐ 注意：Mem0 现在直接复用主 LLM 实例，无需单独配置
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# Qdrant 向量数据库（远程服务器上的独立容器）
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QDRANT_URL=http://115.190.121.151:6333
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QDRANT_COLLECTION_NAME=mem0_user_memories
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# -----------------------------------------------------------------------------
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# 数据库配置
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# -----------------------------------------------------------------------------
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# PostgreSQL 连接字符串（远程服务器上的独立容器）
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DB_URI=postgresql://postgres:mysecretpassword@115.190.121.151:5432/langgraph_db?sslmode=disable
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# -----------------------------------------------------------------------------
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# 前端配置
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# -----------------------------------------------------------------------------
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# Docker Compose 内部网络，使用服务名 'backend'
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API_URL=http://backend:8001/chat
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# -----------------------------------------------------------------------------
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# 应用行为配置
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# -----------------------------------------------------------------------------
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MEMORY_SUMMARIZE_INTERVAL=10
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ENABLE_GRAPH_TRACE=false
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# -----------------------------------------------------------------------------
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# 日志配置
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# -----------------------------------------------------------------------------
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LOG_LEVEL=WARNING
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DEBUG=false
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