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deepdata: track product config and env defaults for self-contained deployment
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This commit is contained in:
figmar
2026-08-30 19:27:22 +08:00
parent e1d21036f8
commit 173e2866a3
13 changed files with 778 additions and 208 deletions
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.dockerignore
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# Environment files (local dev only, never in images)
#**/.env
!.env.example
# Python
**/__pycache__/
**/*.pyc
**/.venv/
**/venv/
# Logs
**/logs/
**/*.log
# IDE
.idea/
.vscode/
*.iml
# Git
.git/
.gitignore
.gitignore
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# Logs
logs
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*
# Runtime data
pids
*.pid
*.seed
*.pid.lock
# Directory for instrumented libs generated by jscoverage/JSCover
lib-cov
# Coverage directory used by tools like istanbul
coverage
# nyc test coverage
.nyc_output
# Grunt intermediate storage (http://gruntjs.com/creating-plugins#storing-task-files)
.grunt
# Bower dependency directory (https://bower.io/)
bower_components
# node-waf configuration
.lock-wscript
# Compiled binary addons (https://nodejs.org/api/addons.html)
build/Release
# Dependency directories
node_modules/
jspm_packages/
# TypeScript v1 declaration files
typings/
# Optional npm cache directory
.npm
# Optional eslint cache
.eslintcache
# Optional REPL history
.node_repl_history
# Output of 'npm pack'
*.tgz
# Yarn Integrity file
.yarn-integrity
# dotenv environment variables file
.env
# next.js build output
.next
# Java
*.class
*.jar
*.war
*.ear
*.zip
*.tar.gz
*.rar
# Maven
target/
pom.xml.tag
pom.xml.releaseBackup
pom.xml.versionsBackup
pom.xml.next
release.properties
dependency-reduced-pom.xml
buildNumber.properties
.mvn/timing.properties
# Gradle
.gradle
build/
!gradle-wrapper.jar
!**/src/main/**/build/
!**/src/test/**/build/
# IntelliJ IDEA
.idea
*.iws
*.iml
*.ipr
out/
# Eclipse
.project
.classpath
.c9/
*.launch
.settings/
.metadata
bin/
tmp/
*.tmp
*.bak
*.swp
*~.nib
local.properties
.settings/
.loadpath
.recommenders
# Python
__pycache__/
*.py[cod]
*$py.class
*.so
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyEnv
.python-version
# pipenv
Pipfile.lock
# Celery beat schedule file
celerybeat-schedule
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Docker
*.dockerignore
# OS
.DS_Store
.DS_Store?
._*
.Spotlight-V100
.Trashes
ehthumbs.db
Thumbs.db
# IDE
.vscode/
*.sublime-project
*.sublime-workspace
# Milvus
**/volumes/
**/rag_storage/
# Environment files - ignore local .env, but allow templates
.env
!.env.example
# AI tools/agent
.agents/
.claude/
data/
openspec/
devspace.yaml
# Logs
logs
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*
# Runtime data
pids
*.pid
*.seed
*.pid.lock
# Directory for instrumented libs generated by jscoverage/JSCover
lib-cov
# Coverage directory used by tools like istanbul
coverage
# nyc test coverage
.nyc_output
# Grunt intermediate storage (http://gruntjs.com/creating-plugins#storing-task-files)
.grunt
# Bower dependency directory (https://bower.io/)
bower_components
# node-waf configuration
.lock-wscript
# Compiled binary addons (https://nodejs.org/api/addons.html)
build/Release
# Dependency directories
node_modules/
jspm_packages/
# TypeScript v1 declaration files
typings/
# Optional npm cache directory
.npm
# Optional eslint cache
.eslintcache
# Optional REPL history
.node_repl_history
# Output of 'npm pack'
*.tgz
# Yarn Integrity file
.yarn-integrity
# dotenv environment variables file
.env
# next.js build output
.next
# Java
*.class
*.jar
*.war
*.ear
*.zip
*.tar.gz
*.rar
# Maven
target/
pom.xml.tag
pom.xml.releaseBackup
pom.xml.versionsBackup
pom.xml.next
release.properties
dependency-reduced-pom.xml
buildNumber.properties
.mvn/timing.properties
# Gradle
.gradle
build/
!gradle-wrapper.jar
!**/src/main/**/build/
!**/src/test/**/build/
# IntelliJ IDEA
.idea
*.iws
*.iml
*.ipr
out/
# Eclipse
.project
.classpath
.c9/
*.launch
.settings/
.metadata
bin/
tmp/
*.tmp
*.bak
*.swp
*~.nib
local.properties
.settings/
.loadpath
.recommenders
# Python
__pycache__/
*.py[cod]
*$py.class
*.so
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyEnv
.python-version
# pipenv
Pipfile.lock
# Celery beat schedule file
celerybeat-schedule
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Docker
*.dockerignore
# OS
.DS_Store
.DS_Store?
._*
.Spotlight-V100
.Trashes
ehthumbs.db
Thumbs.db
# IDE
.vscode/
*.sublime-project
*.sublime-workspace
# Milvus
**/volumes/
**/rag_storage/
# Environment files - ignore local .env, but allow templates
.env
!.env.example
# AI tools/agent
.agents/
.claude/
data/
openspec/
devspace.yaml
# --- Product deliverables tracked in this repository ---
!*.dockerignore
!docker/.env
!deepflow/.env
!docker/deepflow/.env
!runtime/deepflow/.env
!deepflow/.python-version
!deepflow/web/src/lib/
!deepflow/web/src/lib/**
!deepflow/web/src/typings/
!deepflow/web/src/typings/**
deepflow/.dockerignore
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.env
Dockerfile
.dockerignore
.git
.gitignore
# Python
__pycache__/
*.py[cod]
*$py.class
*.so
.Python
env/
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg
.venv/
# Web
node_modules
npm-debug.log
.next
# IDE
.idea/
.vscode/
*.swp
*.swo
# OS
.DS_Store
Thumbs.db
# Project specific
conf.yaml
web/
docs/
examples/
assets/
tests/
*.log
deepflow/.env
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# Application Settings
DEBUG=True
APP_ENV=development
# docker build args
NEXT_PUBLIC_API_URL="/deepflow-backend"
AGENT_RECURSION_LIMIT=30
# CORS settings
# Comma-separated list of allowed origins for CORS requests
# Example: ALLOWED_ORIGINS=http://localhost:3000,http://example.com
ALLOWED_ORIGINS=*
# Enable or disable MCP server configuration, the default is false.
# Please enable this feature before securing your front-end and back-end in a managed environment.
# Otherwise, you system could be compromised.
ENABLE_MCP_SERVER_CONFIGURATION=true
# Enable or disable PYTHON_REPL configuration, the default is false.
# Please enable this feature before securing your in a managed environment.
# Otherwise, you system could be compromised.
ENABLE_PYTHON_REPL=false
# Search Engine, Supported values: tavily (recommended), duckduckgo, brave_search, arxiv, searx
SEARCH_API=tavily
TAVILY_API_KEY=tvly-xxx
# SEARX_HOST=xxx # Required only if SEARCH_API is searx.(compatible with both Searx and SearxNG)
# BRAVE_SEARCH_API_KEY=xxx # Required only if SEARCH_API is brave_search
# JINA_API_KEY=jina_xxx # Optional, default is None
# Optional, RAG provider
# RAG_PROVIDER=vikingdb_knowledge_base
# VIKINGDB_KNOWLEDGE_BASE_API_URL="api-knowledgebase.mlp.cn-beijing.volces.com"
# VIKINGDB_KNOWLEDGE_BASE_API_AK="AKxxx"
# VIKINGDB_KNOWLEDGE_BASE_API_SK=""
# VIKINGDB_KNOWLEDGE_BASE_RETRIEVAL_SIZE=15
# RAG_PROVIDER=ragflow
# RAGFLOW_API_URL="http://localhost:9388"
# RAGFLOW_API_KEY="ragflow-xxx"
# RAGFLOW_RETRIEVAL_SIZE=10
# 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
# RAG_PROVIDER=dify
# DIFY_API_URL="https://api.dify.ai/v1"
# DIFY_API_KEY="dataset-xxx"
# MOI is a hybrid database that mainly serves enterprise users (https://www.matrixorigin.io/matrixone-intelligence)
# RAG_PROVIDER=moi
# MOI_API_URL="https://cluster.matrixonecloud.cn"
# MOI_API_KEY="xxx-xxx-xxx-xxx"
# MOI_RETRIEVAL_SIZE=10
# MOI_LIST_LIMIT=10
# RAG_PROVIDER: milvus (using free milvus instance on zilliz cloud: https://docs.zilliz.com/docs/quick-start )
RAG_PROVIDER=milvus
MILVUS_URI=http://milvus:19530
MILVUS_USER=root
MILVUS_PASSWORD=Milvus
MILVUS_AUTO_LOAD_EXAMPLES=false
# MILVUS_EMBEDDING_PROVIDER=openai # support openai,dashscope
# MILVUS_EMBEDDING_BASE_URL=
# MILVUS_EMBEDDING_MODEL=
# MILVUS_EMBEDDING_API_KEY=
# RAG_PROVIDER: milvus (using milvus lite on Mac or Linux)
# RAG_PROVIDER=milvus
# MILVUS_URI=./milvus_demo.db
# MILVUS_COLLECTION=documents
# MILVUS_EMBEDDING_PROVIDER=openai # support openai,dashscope
# MILVUS_EMBEDDING_BASE_URL=
# MILVUS_EMBEDDING_MODEL=
# MILVUS_EMBEDDING_API_KEY=
# MILVUS_AUTO_LOAD_EXAMPLES=true
# Optional, volcengine TTS for generating podcast
VOLCENGINE_TTS_APPID=xxx
VOLCENGINE_TTS_ACCESS_TOKEN=xxx
# VOLCENGINE_TTS_CLUSTER=volcano_tts # Optional, default is volcano_tts
# VOLCENGINE_TTS_VOICE_TYPE=BV700_V2_streaming # Optional, default is BV700_V2_streaming
# Option, for langsmith tracing and monitoring
# LANGSMITH_TRACING=true
# LANGSMITH_ENDPOINT="https://api.smith.langchain.com"
# LANGSMITH_API_KEY="xxx"
# LANGSMITH_PROJECT="xxx"
# [!NOTE]
# For model settings and other configurations, please refer to `docs/configuration_guide.md`
# Option, for langgraph mongodb checkpointer
# Enable LangGraph checkpoint saver, supports MongoDB, Postgres
#LANGGRAPH_CHECKPOINT_SAVER=true
# Set the database URL for saving checkpoints
#LANGGRAPH_CHECKPOINT_DB_URL=mongodb://localhost:27017/
#LANGGRAPH_CHECKPOINT_DB_URL=postgresql://localhost:5432/postgres
deepflow/.gitignore
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.venv
venv/
# Environment variables
.env
# Environment defaults are tracked for a self-contained repo
# .env
# user conf
conf.yaml
# Product conf is tracked
# conf.yaml
.idea/
.langgraph_api/
deepflow/.python-version
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3.12
deepflow/conf.yaml
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# [!NOTE]
# Read the `docs/configuration_guide.md` carefully, and update the
# configurations to match your specific settings and requirements.
# - Replace `api_key` with your own credentials.
# - Replace `base_url` and `model` name if you want to use a custom model.
# - Set `verify_ssl` to `false` if your LLM server uses self-signed certificates
# - A restart is required every time you change the `conf.yaml` file.
BASIC_MODEL:
base_url: https://dashscope.aliyuncs.com/compatible-mode/v1
model: "qwen3.6-plus"
api_key: sk-e653053a9ce049b795682194b91a56c9
max_retries: 3 # Maximum number of retries for LLM calls
verify_ssl: false # Uncomment this line to disable SSL certificate verification for self-signed certificates
# Local model configuration example:
# Ollama (Tested and supported for local development)
# BASIC_MODEL:
# base_url: "http://localhost:11434/v1" # Ollama OpenAI compatible endpoint
# model: "qwen3:14b" # or "llama3.2", etc.
# api_key: "ollama" # Ollama doesn't need real API key
# max_retries: 3
# verify_ssl: false # Local deployment usually doesn't need SSL verification
# To use Google Ai Studio as your basic platform:
# BASIC_MODEL:
# platform: "google_aistudio"
# model: "gemini-2.5-flash" # or "gemini-1.5-pro", "gemini-2.5-flash-exp", etc.
# api_key: your_gemini_api_key # Get from https://aistudio.google.com/app/apikey
# max_retries: 3
# Reasoning model is optional.
# Uncomment the following settings if you want to use reasoning model
# for planning.
REASONING_MODEL:
base_url: https://dashscope.aliyuncs.com/compatible-mode/v1
model: "qwen3.6-plus"
api_key: sk-e653053a9ce049b795682194b91a56c9
max_retries: 3 # Maximum number of retries for LLM calls
# OTHER SETTINGS:
# Search engine configuration (Only supports Tavily currently)
# SEARCH_ENGINE:
# engine: tavily
# # Only include results from these domains
# include_domains:
# - example.com
# - trusted-news.com
# - reliable-source.org
# - gov.cn
# - edu.cn
# # Exclude results from these domains
# exclude_domains:
# - example.com
# # Include an answer in the search results
# include_answer: false
# # Search depth: "basic" or "advanced"
# search_depth: "advanced"
# # Include raw content from pages
# include_raw_content: true
# # Include images in search results
# include_images: true
# # Include descriptions for images
# include_image_descriptions: true
# # Minimum score threshold for results (0-1)
# min_score_threshold: 0.0
# # Maximum content length per page
# max_content_length_per_page: 4000
sandbox:
use: deepflow.community.aio_sandbox:AioSandboxProvider
image: enterprise-public-cn-beijing.cr.volces.com/vefaas-public/all-in-one-sandbox:latest
port: 8080
auto_start: true
replicas: 2
container_prefix: deepdata-deepflow-sandbox
# 把 DeepData 的 dataset 卷透进沙箱，Agent 写报告能直接落到 /dataset/deepflow-output
mounts:
- host_path: /var/lib/docker/volumes/deepdata-dataset-volume/_data
container_path: /dataset
read_only: false
deepflow/web/.dockerignore
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.env
Dockerfile
.dockerignore
node_modules
npm-debug.log
README.md
.next
.git
deepflow/web/src/lib/utils.ts
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// Copyright (c) 2025 Bytedance Ltd. and/or its affiliates
// SPDX-License-Identifier: MIT
import { clsx, type ClassValue } from "clsx"
import { twMerge } from "tailwind-merge"
export function cn(...inputs: ClassValue[]) {
return twMerge(clsx(inputs))
}
deepflow/web/src/typings/md.d.ts
Vendored
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declare module "*.md" {
const content: string;
export default content;
}
docker/.env
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# 镜像仓库与版本
REGISTRY=
VERSION=latest
# 数据库核心密码【必须修改】
DB_PASSWORD=Apescale123
# JWT配置 (必须 >= 32 字符，即 256 bits)
JWT_SECRET=ApescaleSuperSecureJwtSecretKey2026v1
DEEPDATA_JWT_ENABLE=false
# 日志轮转配置
LOG_ROTATION_MAX_SIZE=100MB
LOG_ROTATION_BACKUP_COUNT=30
LOG_LEVEL=INFO
# 日志磁盘监控
LOG_PVC_MONITOR_ENABLED=true
LOG_PVC_MONITOR_PATH=/var/log/deepdata
LOG_PVC_MONITOR_THRESHOLD=0.9
LOG_PVC_MONITOR_INTERVAL_SECONDS=300
LOG_PVC_MONITOR_DELETE_BATCH_SIZE=10
LOG_PVC_MONITOR_FILE_SUFFIXES=log,out,err
# Milvus向量库配置（启用milvus profile生效）
MILVUS_URI=http://milvus:19530
MINIO_ACCESS_KEY=minioadmin
MINIO_SECRET_KEY=Minio@Passw0rd
# LabelStudio配置
LABEL_STUDIO_USERNAME=admin@demo.com
LABEL_STUDIO_PASSWORD=LabelStudio@123
LABEL_STUDIO_USER_TOKEN=50d54c9fa842a1cd8e26c55efa7113db22870c47
LABEL_STUDIO_HOST=http://labelstudio.ailab.yilise.com
LABEL_STUDIO_BASE_URL=http://label-studio:8000
# MinerU额外启动参数
EXTRA_ARGS=
MINIO_ACCESS_KEY_ID=minioadmin
MINIO_SECRET_ACCESS_KEY=Minio@Passw0rd
AWS_REGION=us-east-1
# ==========================================
# Ray 分布式集群配置
# ==========================================
# 1. Redis 密码 (Ray Head 强依赖 Redis)
RAY_REDIS_PASSWORD=ray_redis_secret
RAY_REDIS_ADDRESS=deepdata-ray-redis:6379
# 2. Dashboard 地址 (用于 Client 提交任务，即 job_task_scheduler.py 读取的值)
# 注意：默认值是 K8s 的 svc，这里覆盖为 Compose 服务名
RAY_DASHBOARD_ADDRESS=http://deepdata-ray-head:8265
# 3. Head GCS 地址 (用于 Worker 节点加入集群)
RAY_HEAD_GCS_ADDRESS=deepdata-ray-head:6379
# Ray Head 端口配置
RAY_HEAD_PORT=6379
RAY_DASHBOARD_PORT=8265
RAY_CLIENT_PORT=10001
# Ray Worker 资源配置 (可根据服务器性能调整)
# NUM_CPUS: 每个 Worker 容器分配的 CPU 核数
RAY_WORKER_NUM_CPUS=4
# NUM_GPUS: 如果不需要 GPU 则设为 0
RAY_WORKER_NUM_GPUS=0
ENABLE_RAY_EXECUTION=true
# ==========================================
# Collection Task Execution Mode
# - local: Backend 本地执行 (默认，兼容旧版)
# - runtime: 提交给 Runtime -> Ray 集群执行
# ==========================================
COLLECTION_EXECUTION_MODE=runtime
docker/deepflow/.env
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# Application Settings
DEBUG=True
APP_ENV=development
# docker build args
NEXT_PUBLIC_API_URL="/deepflow-backend"
AGENT_RECURSION_LIMIT=30
# CORS settings
# Comma-separated list of allowed origins for CORS requests
# Example: ALLOWED_ORIGINS=http://localhost:3000,http://example.com
ALLOWED_ORIGINS=*
# Enable or disable MCP server configuration, the default is false.
# Please enable this feature before securing your front-end and back-end in a managed environment.
# Otherwise, you system could be compromised.
ENABLE_MCP_SERVER_CONFIGURATION=true
# Enable or disable PYTHON_REPL configuration, the default is false.
# Please enable this feature before securing your in a managed environment.
# Otherwise, you system could be compromised.
ENABLE_PYTHON_REPL=false
# Search Engine, Supported values: tavily (recommended), duckduckgo, brave_search, arxiv, searx
SEARCH_API=tavily
TAVILY_API_KEY=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
# SEARX_HOST=xxx # Required only if SEARCH_API is searx.(compatible with both Searx and SearxNG)
# BRAVE_SEARCH_API_KEY=xxx # Required only if SEARCH_API is brave_search
# JINA_API_KEY=jina_xxx # Optional, default is None
# Optional, RAG provider
# RAG_PROVIDER=vikingdb_knowledge_base
# VIKINGDB_KNOWLEDGE_BASE_API_URL="api-knowledgebase.mlp.cn-beijing.volces.com"
# VIKINGDB_KNOWLEDGE_BASE_API_AK="AKxxx"
# VIKINGDB_KNOWLEDGE_BASE_API_SK=""
# VIKINGDB_KNOWLEDGE_BASE_RETRIEVAL_SIZE=15
# RAG_PROVIDER=ragflow
# RAGFLOW_API_URL="http://localhost:9388"
# RAGFLOW_API_KEY="ragflow-xxx"
# RAGFLOW_RETRIEVAL_SIZE=10
# 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
# RAG_PROVIDER=dify
# DIFY_API_URL="https://api.dify.ai/v1"
# DIFY_API_KEY="dataset-xxx"
# MOI is a hybrid database that mainly serves enterprise users (https://www.matrixorigin.io/matrixone-intelligence)
# RAG_PROVIDER=moi
# MOI_API_URL="https://cluster.matrixonecloud.cn"
# MOI_API_KEY="xxx-xxx-xxx-xxx"
# MOI_RETRIEVAL_SIZE=10
# MOI_LIST_LIMIT=10
# RAG_PROVIDER: milvus (using free milvus instance on zilliz cloud: https://docs.zilliz.com/docs/quick-start )
RAG_PROVIDER=milvus
MILVUS_URI=http://milvus:19530
MILVUS_USER=root
MILVUS_PASSWORD=Milvus
MILVUS_AUTO_LOAD_EXAMPLES=false
MILVUS_COLLECTION=kb_deepdata
MILVUS_EMBEDDING_PROVIDER=dashscope # 或 dashscope，看 DeepData 侧用的哪家
MILVUS_EMBEDDING_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
MILVUS_EMBEDDING_MODEL=text-embedding-v2
MILVUS_EMBEDDING_API_KEY=sk-e653053a9ce049b795682194b91a56c9
# MILVUS_EMBEDDING_PROVIDER=openai # support openai,dashscope
# MILVUS_EMBEDDING_BASE_URL=
# MILVUS_EMBEDDING_MODEL=
# MILVUS_EMBEDDING_API_KEY=
# RAG_PROVIDER: milvus (using milvus lite on Mac or Linux)
# RAG_PROVIDER=milvus
# MILVUS_URI=./milvus_demo.db
# MILVUS_COLLECTION=documents
# MILVUS_EMBEDDING_PROVIDER=openai # support openai,dashscope
# MILVUS_EMBEDDING_BASE_URL=
# MILVUS_EMBEDDING_MODEL=
# MILVUS_EMBEDDING_API_KEY=
# MILVUS_AUTO_LOAD_EXAMPLES=true
# Optional, volcengine TTS for generating podcast
VOLCENGINE_TTS_APPID=xxx
VOLCENGINE_TTS_ACCESS_TOKEN=xxx
# VOLCENGINE_TTS_CLUSTER=volcano_tts # Optional, default is volcano_tts
# VOLCENGINE_TTS_VOICE_TYPE=BV700_V2_streaming # Optional, default is BV700_V2_streaming
# Option, for langsmith tracing and monitoring
# LANGSMITH_TRACING=true
# LANGSMITH_ENDPOINT="https://api.smith.langchain.com"
# LANGSMITH_API_KEY="xxx"
# LANGSMITH_PROJECT="xxx"
# [!NOTE]
# For model settings and other configurations, please refer to `docs/configuration_guide.md`
# Option, for langgraph mongodb checkpointer
# Enable LangGraph checkpoint saver, supports MongoDB, Postgres
#LANGGRAPH_CHECKPOINT_SAVER=true
# Set the database URL for saving checkpoints
#LANGGRAPH_CHECKPOINT_DB_URL=mongodb://localhost:27017/
#LANGGRAPH_CHECKPOINT_DB_URL=postgresql://localhost:5432/postgres
runtime/deepflow/.env
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# Application Settings
DEBUG=True
APP_ENV=development
# docker build args
NEXT_PUBLIC_API_URL="/deepflow-backend"
AGENT_RECURSION_LIMIT=30
# CORS settings
# Comma-separated list of allowed origins for CORS requests
# Example: ALLOWED_ORIGINS=http://localhost:3000,http://example.com
ALLOWED_ORIGINS=*
# Enable or disable MCP server configuration, the default is false.
# Please enable this feature before securing your front-end and back-end in a managed environment.
# Otherwise, you system could be compromised.
ENABLE_MCP_SERVER_CONFIGURATION=true
# Enable or disable PYTHON_REPL configuration, the default is false.
# Please enable this feature before securing your in a managed environment.
# Otherwise, you system could be compromised.
ENABLE_PYTHON_REPL=false
# Search Engine, Supported values: tavily (recommended), duckduckgo, brave_search, arxiv, searx
SEARCH_API=tavily
TAVILY_API_KEY=tvly-xxx
# SEARX_HOST=xxx # Required only if SEARCH_API is searx.(compatible with both Searx and SearxNG)
# BRAVE_SEARCH_API_KEY=xxx # Required only if SEARCH_API is brave_search
# JINA_API_KEY=jina_xxx # Optional, default is None
# Optional, RAG provider
# RAG_PROVIDER=vikingdb_knowledge_base
# VIKINGDB_KNOWLEDGE_BASE_API_URL="api-knowledgebase.mlp.cn-beijing.volces.com"
# VIKINGDB_KNOWLEDGE_BASE_API_AK="AKxxx"
# VIKINGDB_KNOWLEDGE_BASE_API_SK=""
# VIKINGDB_KNOWLEDGE_BASE_RETRIEVAL_SIZE=15
# RAG_PROVIDER=ragflow
# RAGFLOW_API_URL="http://localhost:9388"
# RAGFLOW_API_KEY="ragflow-xxx"
# RAGFLOW_RETRIEVAL_SIZE=10
# 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
# RAG_PROVIDER=dify
# DIFY_API_URL="https://api.dify.ai/v1"
# DIFY_API_KEY="dataset-xxx"
# MOI is a hybrid database that mainly serves enterprise users (https://www.matrixorigin.io/matrixone-intelligence)
# RAG_PROVIDER=moi
# MOI_API_URL="https://cluster.matrixonecloud.cn"
# MOI_API_KEY="xxx-xxx-xxx-xxx"
# MOI_RETRIEVAL_SIZE=10
# MOI_LIST_LIMIT=10
# RAG_PROVIDER: milvus (using free milvus instance on zilliz cloud: https://docs.zilliz.com/docs/quick-start )
RAG_PROVIDER=milvus
MILVUS_URI=http://milvus:19530
MILVUS_USER=root
MILVUS_PASSWORD=Milvus
MILVUS_AUTO_LOAD_EXAMPLES=false
# MILVUS_EMBEDDING_PROVIDER=openai # support openai,dashscope
# MILVUS_EMBEDDING_BASE_URL=
# MILVUS_EMBEDDING_MODEL=
# MILVUS_EMBEDDING_API_KEY=
# RAG_PROVIDER: milvus (using milvus lite on Mac or Linux)
# RAG_PROVIDER=milvus
# MILVUS_URI=./milvus_demo.db
# MILVUS_COLLECTION=documents
# MILVUS_EMBEDDING_PROVIDER=openai # support openai,dashscope
# MILVUS_EMBEDDING_BASE_URL=
# MILVUS_EMBEDDING_MODEL=
# MILVUS_EMBEDDING_API_KEY=
# MILVUS_AUTO_LOAD_EXAMPLES=true
# Optional, volcengine TTS for generating podcast
VOLCENGINE_TTS_APPID=xxx
VOLCENGINE_TTS_ACCESS_TOKEN=xxx
# VOLCENGINE_TTS_CLUSTER=volcano_tts # Optional, default is volcano_tts
# VOLCENGINE_TTS_VOICE_TYPE=BV700_V2_streaming # Optional, default is BV700_V2_streaming
# Option, for langsmith tracing and monitoring
# LANGSMITH_TRACING=true
# LANGSMITH_ENDPOINT="https://api.smith.langchain.com"
# LANGSMITH_API_KEY="xxx"
# LANGSMITH_PROJECT="xxx"
# [!NOTE]
# For model settings and other configurations, please refer to `docs/configuration_guide.md`
# Option, for langgraph mongodb checkpointer
# Enable LangGraph checkpoint saver, supports MongoDB, Postgres
#LANGGRAPH_CHECKPOINT_SAVER=true
# Set the database URL for saving checkpoints
#LANGGRAPH_CHECKPOINT_DB_URL=mongodb://localhost:27017/
#LANGGRAPH_CHECKPOINT_DB_URL=postgresql://localhost:5432/postgres