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72669d1293
* fix: update MILVUS_URI in .env.example for correct service endpoint * feat: add .env and conf.yaml for deer-flow configuration
98 lines
3.5 KiB
Bash
98 lines
3.5 KiB
Bash
# Application Settings
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DEBUG=True
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APP_ENV=development
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# docker build args
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NEXT_PUBLIC_API_URL="/deer-flow-backend"
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AGENT_RECURSION_LIMIT=30
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# CORS settings
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# Comma-separated list of allowed origins for CORS requests
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# Example: ALLOWED_ORIGINS=http://localhost:3000,http://example.com
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ALLOWED_ORIGINS=*
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# Enable or disable MCP server configuration, the default is false.
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# Please enable this feature before securing your front-end and back-end in a managed environment.
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# Otherwise, you system could be compromised.
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ENABLE_MCP_SERVER_CONFIGURATION=true
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# Enable or disable PYTHON_REPL configuration, the default is false.
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# Please enable this feature before securing your in a managed environment.
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# Otherwise, you system could be compromised.
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ENABLE_PYTHON_REPL=false
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# Search Engine, Supported values: tavily (recommended), duckduckgo, brave_search, arxiv, searx
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SEARCH_API=tavily
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TAVILY_API_KEY=tvly-xxx
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# SEARX_HOST=xxx # Required only if SEARCH_API is searx.(compatible with both Searx and SearxNG)
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# BRAVE_SEARCH_API_KEY=xxx # Required only if SEARCH_API is brave_search
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# JINA_API_KEY=jina_xxx # Optional, default is None
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# Optional, RAG provider
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# RAG_PROVIDER=vikingdb_knowledge_base
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# VIKINGDB_KNOWLEDGE_BASE_API_URL="api-knowledgebase.mlp.cn-beijing.volces.com"
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# VIKINGDB_KNOWLEDGE_BASE_API_AK="AKxxx"
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# VIKINGDB_KNOWLEDGE_BASE_API_SK=""
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# VIKINGDB_KNOWLEDGE_BASE_RETRIEVAL_SIZE=15
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# RAG_PROVIDER=ragflow
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# RAGFLOW_API_URL="http://localhost:9388"
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# RAGFLOW_API_KEY="ragflow-xxx"
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# RAGFLOW_RETRIEVAL_SIZE=10
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# RAGFLOW_CROSS_LANGUAGES=English,Chinese,Spanish,French,German,Japanese,Korean # Optional. To use RAGFlow's cross-language search, please separate each language with a single comma
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# RAG_PROVIDER=dify
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# DIFY_API_URL="https://api.dify.ai/v1"
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# DIFY_API_KEY="dataset-xxx"
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# MOI is a hybrid database that mainly serves enterprise users (https://www.matrixorigin.io/matrixone-intelligence)
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# RAG_PROVIDER=moi
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# MOI_API_URL="https://cluster.matrixonecloud.cn"
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# MOI_API_KEY="xxx-xxx-xxx-xxx"
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# MOI_RETRIEVAL_SIZE=10
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# MOI_LIST_LIMIT=10
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# RAG_PROVIDER: milvus (using free milvus instance on zilliz cloud: https://docs.zilliz.com/docs/quick-start )
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RAG_PROVIDER=milvus
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MILVUS_URI=http://milvus:19530
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MILVUS_USER=root
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MILVUS_PASSWORD=Milvus
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MILVUS_AUTO_LOAD_EXAMPLES=false
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# MILVUS_EMBEDDING_PROVIDER=openai # support openai,dashscope
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# MILVUS_EMBEDDING_BASE_URL=
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# MILVUS_EMBEDDING_MODEL=
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# MILVUS_EMBEDDING_API_KEY=
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# RAG_PROVIDER: milvus (using milvus lite on Mac or Linux)
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# RAG_PROVIDER=milvus
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# MILVUS_URI=./milvus_demo.db
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# MILVUS_COLLECTION=documents
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# MILVUS_EMBEDDING_PROVIDER=openai # support openai,dashscope
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# MILVUS_EMBEDDING_BASE_URL=
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# MILVUS_EMBEDDING_MODEL=
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# MILVUS_EMBEDDING_API_KEY=
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# MILVUS_AUTO_LOAD_EXAMPLES=true
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# Optional, volcengine TTS for generating podcast
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VOLCENGINE_TTS_APPID=xxx
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VOLCENGINE_TTS_ACCESS_TOKEN=xxx
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# VOLCENGINE_TTS_CLUSTER=volcano_tts # Optional, default is volcano_tts
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# VOLCENGINE_TTS_VOICE_TYPE=BV700_V2_streaming # Optional, default is BV700_V2_streaming
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# Option, for langsmith tracing and monitoring
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# LANGSMITH_TRACING=true
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# LANGSMITH_ENDPOINT="https://api.smith.langchain.com"
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# LANGSMITH_API_KEY="xxx"
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# LANGSMITH_PROJECT="xxx"
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# [!NOTE]
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# For model settings and other configurations, please refer to `docs/configuration_guide.md`
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# Option, for langgraph mongodb checkpointer
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# Enable LangGraph checkpoint saver, supports MongoDB, Postgres
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#LANGGRAPH_CHECKPOINT_SAVER=true
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# Set the database URL for saving checkpoints
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#LANGGRAPH_CHECKPOINT_DB_URL=mongodb://localhost:27017/
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#LANGGRAPH_CHECKPOINT_DB_URL=postgresql://localhost:5432/postgres
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