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{"repo": "binghengtao/travel-agent-hub", "files": {".env.example": {"d6abe589e351b9442367c651a8d7063a175c59fc": {"t": 1785745185.7064323, "n": 2145, "h": "11d74cdecbdaee96", "c": "# 注释说明:该示例环境文件列出本地和 Docker 运行需要填写的配置项。\n# 复制本文件为 .env 后再填写真实配置。\n# 不要提交包含真实 Key 的 .env。\n\n# 应用基础配置。\nAPP_NAME=旅行助手\nENVIRONMENT=local\n\n# 必填:管理员口令。公共知识库管理和攻略治理页面需要填写这个值。\nADMIN_TOKEN=change-me\n\n# 登录注册配置。\n# 本地运行:sqlite:///./storage/travel_assistant.db\n# Docker 容器:sqlite:////app/storage/travel_assistant.db\nDATABASE_URL=sqlite:///./storage/travel_assistant.db\nJWT_SECRET_KEY=please-change-this-to-a-long-random-string\nJWT_EXPIRE_MINUTES=10080\n\n# 前端允许访问的地址。部署到服务器时把域名加进来。\nCORS_ORIGINS=[\"http://localhost:5173\"]\n\n# 模型提供方。推荐 qwen,也可以使用 deepseek 或 local。\nDEFAULT_PROVIDER=qwen\n\n# Qwen / DashScope。真实演示推荐填写 DASHSCOPE_API_KEY。\nDASHSCOPE_API_KEY=\nQWEN_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1\nQWEN_CHAT_MODEL=qwen3.6-plus\nQWEN_FAST_MODEL=qwen3.6-flash\nQWEN_REASONING_MODEL=qwen3.6-max-preview\nQWEN_EMBEDDING_MODEL=text-embedding-v4\nQWEN_RERANK_MODEL=qwen3-rerank\nQWEN_VISION_MODEL=qwen-vl-max-latest\nQWEN_IMAGE_MODEL=qwen-image-2.0-pro\nQWEN_TTS_MODEL=cosyvoice-v3-plus\nQWEN_ASR_MODEL=qwen3-asr-flash-realtime\n\n# DeepSeek。可选备用模型提供方。\nDEEPSEEK_API_KEY=\nDEEPSEEK_BASE_URL=https://api.deepseek.com\nDEEPSEEK_CHAT_MODEL=deepseek-v4-flash\nDEEPSEEK_REASONING_MODEL=deepseek-v4-pro\n\n# 本地 OpenAI-compatible endpoint。可选。\n# 示例:Ollama、LM Studio、vLLM、Xinference。\nLOCAL_OPENAI_BASE_URL=http://localhost:11434/v1\nLOCAL_OPENAI_API_KEY=local\nLOCAL_CHAT_MODEL=qwen3:8b\nLOCAL_EMBEDDING_MODEL=Qwen3-Embedding-0.6B\n\n# 实时工具。完整演示推荐填写。\nTAVILY_API_KEY=\nAMAP_KEY=\nQWEATHER_KEY=\nOPENWEATHER_API_KEY=\n\n# Redis。\n# 本地运行:redis://localhost:6379/0\n# Docker Compose:redis://redis:6379/0\nREDIS_URL=redis://localhost:6379/0\n\n# 运行路径。\nDATASET_DIR=./data/dataset\nSTORAGE_DIR=./storage\nCHROMA_DIR=./storage/chroma\nBM25_DIR=./storage/bm25\nUPLOAD_DIR=./storage/uploads\nOUTPUT_DIR=./storage/outputs\n\n# 安全、上下文和检索参数。\nMAX_UPLOAD_MB=25\nRATE_LIMIT_PER_MINUTE=60\nSESSION_TTL_SECONDS=86400\nTOOL_CACHE_TTL_SECONDS=600\nMAX_CONTEXT_TOKENS=12000\nRECENT_HISTORY_TOKENS=3000\nMEMORY_SUMMARY_TOKENS=1500\nRAG_CONTEXT_TOKENS=4000\nWEB_CONTEXT_TOKENS=2500\nCOMPRESSION_TRIGGER_TOKENS=8000\nCHUNK_SIZE=1000\nCHUNK_OVERLAP=180\nDENSE_TOP_K=40\nBM25_TOP_K=40\nRERANK_TOP_K=20\nFINAL_TOP_K=6\nEMBEDDING_DIMENSION=1024\n"}, "c848bf4e423d9ea5aaaedf6d8a625056a9694836": {"t": 1785748466.1900988, "n": 2145, "h": "11d74cdecbdaee96", "c": "# 注释说明:该示例环境文件列出本地和 Docker 运行需要填写的配置项。\n# 复制本文件为 .env 后再填写真实配置。\n# 不要提交包含真实 Key 的 .env。\n\n# 应用基础配置。\nAPP_NAME=旅行助手\nENVIRONMENT=local\n\n# 必填:管理员口令。公共知识库管理和攻略治理页面需要填写这个值。\nADMIN_TOKEN=change-me\n\n# 登录注册配置。\n# 本地运行:sqlite:///./storage/travel_assistant.db\n# Docker 容器:sqlite:////app/storage/travel_assistant.db\nDATABASE_URL=sqlite:///./storage/travel_assistant.db\nJWT_SECRET_KEY=please-change-this-to-a-long-random-string\nJWT_EXPIRE_MINUTES=10080\n\n# 前端允许访问的地址。部署到服务器时把域名加进来。\nCORS_ORIGINS=[\"http://localhost:5173\"]\n\n# 模型提供方。推荐 qwen,也可以使用 deepseek 或 local。\nDEFAULT_PROVIDER=qwen\n\n# Qwen / DashScope。真实演示推荐填写 DASHSCOPE_API_KEY。\nDASHSCOPE_API_KEY=\nQWEN_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1\nQWEN_CHAT_MODEL=qwen3.6-plus\nQWEN_FAST_MODEL=qwen3.6-flash\nQWEN_REASONING_MODEL=qwen3.6-max-preview\nQWEN_EMBEDDING_MODEL=text-embedding-v4\nQWEN_RERANK_MODEL=qwen3-rerank\nQWEN_VISION_MODEL=qwen-vl-max-latest\nQWEN_IMAGE_MODEL=qwen-image-2.0-pro\nQWEN_TTS_MODEL=cosyvoice-v3-plus\nQWEN_ASR_MODEL=qwen3-asr-flash-realtime\n\n# DeepSeek。可选备用模型提供方。\nDEEPSEEK_API_KEY=\nDEEPSEEK_BASE_URL=https://api.deepseek.com\nDEEPSEEK_CHAT_MODEL=deepseek-v4-flash\nDEEPSEEK_REASONING_MODEL=deepseek-v4-pro\n\n# 本地 OpenAI-compatible endpoint。可选。\n# 示例:Ollama、LM Studio、vLLM、Xinference。\nLOCAL_OPENAI_BASE_URL=http://localhost:11434/v1\nLOCAL_OPENAI_API_KEY=local\nLOCAL_CHAT_MODEL=qwen3:8b\nLOCAL_EMBEDDING_MODEL=Qwen3-Embedding-0.6B\n\n# 实时工具。完整演示推荐填写。\nTAVILY_API_KEY=\nAMAP_KEY=\nQWEATHER_KEY=\nOPENWEATHER_API_KEY=\n\n# Redis。\n# 本地运行:redis://localhost:6379/0\n# Docker Compose:redis://redis:6379/0\nREDIS_URL=redis://localhost:6379/0\n\n# 运行路径。\nDATASET_DIR=./data/dataset\nSTORAGE_DIR=./storage\nCHROMA_DIR=./storage/chroma\nBM25_DIR=./storage/bm25\nUPLOAD_DIR=./storage/uploads\nOUTPUT_DIR=./storage/outputs\n\n# 安全、上下文和检索参数。\nMAX_UPLOAD_MB=25\nRATE_LIMIT_PER_MINUTE=60\nSESSION_TTL_SECONDS=86400\nTOOL_CACHE_TTL_SECONDS=600\nMAX_CONTEXT_TOKENS=12000\nRECENT_HISTORY_TOKENS=3000\nMEMORY_SUMMARY_TOKENS=1500\nRAG_CONTEXT_TOKENS=4000\nWEB_CONTEXT_TOKENS=2500\nCOMPRESSION_TRIGGER_TOKENS=8000\nCHUNK_SIZE=1000\nCHUNK_OVERLAP=180\nDENSE_TOP_K=40\nBM25_TOP_K=40\nRERANK_TOP_K=20\nFINAL_TOP_K=6\nEMBEDDING_DIMENSION=1024\n"}}}}