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# ============================================================================
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# HelloAgents 统一环境变量配置文件
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# ============================================================================
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# 复制此文件为 .env 并填入你的API密钥
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# 系统要求：Python 3.10+ （必需）
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# ============================================================================
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# 🚀 统一配置格式（推荐）- 框架自动检测provider
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# ============================================================================
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# 只需配置以下4个通用环境变量，框架会自动识别LLM提供商：
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# 模型名称
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LLM_MODEL_ID=your-model-name
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# API密钥
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LLM_API_KEY=your-api-key-here
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# 服务地址
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LLM_BASE_URL=your-api-base-url
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# 超时时间（可选，默认60秒）
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LLM_TIMEOUT=60
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# ============================================================================
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# 🛠️ 工具配置（可选）
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# ============================================================================
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# Tavily搜索（推荐）- 获取API密钥：https://tavily.com/
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# TAVILY_API_KEY=tvly-your_tavily_key_here
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# SerpApi搜索（备选）- 获取API密钥：https://serpapi.com/
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# SERPAPI_API_KEY=your_serpapi_key_here
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# ================================
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# Qdrant 向量数据库配置 - 获取API密钥：https://cloud.qdrant.io/
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# ================================
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# 使用Qdrant云服务 (推荐)
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QDRANT_URL=https://your-cluster.qdrant.tech:6333
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QDRANT_API_KEY=your_qdrant_api_key_here
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# 或使用本地Qdrant (需要Docker)
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# QDRANT_URL=http://localhost:6333
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# QDRANT_API_KEY=
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# Qdrant集合配置
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QDRANT_COLLECTION=hello_agents_vectors
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QDRANT_VECTOR_SIZE=384
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QDRANT_DISTANCE=cosine
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QDRANT_TIMEOUT=30
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# ================================
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# Neo4j 图数据库配置 - 获取API密钥：https://neo4j.com/cloud/aura/
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# ================================
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# 使用Neo4j Aura云服务 (推荐)
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NEO4J_URI=neo4j+s://your-instance.databases.neo4j.io
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NEO4J_USERNAME=neo4j
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NEO4J_PASSWORD=your_neo4j_password_here
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# 或使用本地Neo4j (需要Docker)
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# NEO4J_URI=bolt://localhost:7687
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# NEO4J_USERNAME=neo4j
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# NEO4J_PASSWORD=hello-agents-password
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# Neo4j连接配置
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NEO4J_DATABASE=neo4j
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NEO4J_MAX_CONNECTION_LIFETIME=3600
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NEO4J_MAX_CONNECTION_POOL_SIZE=50
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NEO4J_CONNECTION_TIMEOUT=60
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# ==========================
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# 嵌入（Embedding）配置示例 - 可从阿里云控制台获取：https://dashscope.aliyun.com/
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# ==========================
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# - 若为空，dashscope 默认 text-embedding-v3；local 默认 sentence-transformers/all-MiniLM-L6-v2
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EMBED_MODEL_TYPE=dashscope
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EMBED_MODEL_NAME=
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EMBED_API_KEY=
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EMBED_BASE_URL=
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