feat: add more
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Sun-ZhenXing
28
src/dify/.env.example
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28
src/dify/.env.example
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# Dify version
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DIFY_VERSION="0.18.2"
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# Database configuration
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POSTGRES_USER="dify"
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POSTGRES_PASSWORD="difypass"
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POSTGRES_DB="dify"
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# Redis configuration
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REDIS_PASSWORD=""
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# Application configuration
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SECRET_KEY="sk-xxxxxx"
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LOG_LEVEL="INFO"
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# API URLs
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DIFY_API_URL="http://localhost:5001"
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DIFY_APP_URL="http://localhost:3000"
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# Port override
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DIFY_PORT_OVERRIDE=3000
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# Storage type: local, s3, azure-blob, etc.
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STORAGE_TYPE="local"
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# Vector store type: weaviate, milvus, qdrant, etc.
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VECTOR_STORE="weaviate"
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WEAVIATE_VERSION="1.28.12"
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84
src/dify/README.md
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84
src/dify/README.md
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# Dify
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[English](./README.md) | [中文](./README.zh.md)
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This service deploys Dify, an LLM app development platform that combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more.
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## Services
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- `dify-api`: API service for Dify
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- `dify-worker`: Background worker for async tasks
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- `dify-web`: Web frontend interface
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- `dify-db`: PostgreSQL database
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- `dify-redis`: Redis cache
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- `dify-weaviate`: Weaviate vector database (optional profile)
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## Environment Variables
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| Variable Name | Description | Default Value |
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| ------------------ | ------------------------------------------ | ------------- |
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| DIFY_VERSION | Dify image version | `0.18.2` |
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| POSTGRES_USER | PostgreSQL username | `dify` |
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| POSTGRES_PASSWORD | PostgreSQL password | `difypass` |
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| POSTGRES_DB | PostgreSQL database name | `dify` |
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| REDIS_PASSWORD | Redis password (empty for no auth) | `""` |
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| SECRET_KEY | Secret key for encryption | (auto) |
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| LOG_LEVEL | Log level | `INFO` |
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| DIFY_PORT_OVERRIDE | Host port mapping for web interface | `3000` |
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| STORAGE_TYPE | Storage type (local, s3, azure-blob, etc.) | `local` |
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| VECTOR_STORE | Vector store type (weaviate, milvus, etc.) | `weaviate` |
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| WEAVIATE_VERSION | Weaviate version (if using weaviate) | `1.28.12` |
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Please modify the `.env` file as needed for your use case.
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## Volumes
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- `dify_storage`: Storage for uploaded files and generated content
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- `dify_db_data`: PostgreSQL data
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- `dify_redis_data`: Redis persistence data
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- `dify_weaviate_data`: Weaviate vector database data
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## Usage
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### Start Dify with Weaviate
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```bash
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docker compose --profile weaviate up -d
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```
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### Start Dify without Vector Database
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```bash
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docker compose up -d
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```
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### Access
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- Web Interface: <http://localhost:3000>
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- API Docs: <http://localhost:5001/docs>
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### First Time Setup
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1. Open <http://localhost:3000>
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2. Create an admin account
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3. Configure your LLM API keys (OpenAI, Azure OpenAI, Anthropic, etc.)
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4. Start creating your AI applications
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## Notes
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- First startup may take a few minutes for database initialization
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- Change `SECRET_KEY` in production for security
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- For production deployment, consider using external PostgreSQL and Redis
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- Supports multiple LLM providers: OpenAI, Azure OpenAI, Anthropic, Google, local models via Ollama, etc.
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- Vector database is optional but recommended for RAG capabilities
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## Security
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- Change default passwords in production
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- Use strong `SECRET_KEY`
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- Enable authentication on Redis in production
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- Consider using TLS for API connections in production
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## License
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Dify is licensed under Apache License 2.0. See [Dify GitHub](https://github.com/langgenius/dify) for more information.
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84
src/dify/README.zh.md
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84
src/dify/README.zh.md
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# Dify
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[English](./README.md) | [中文](./README.zh.md)
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这个服务部署 Dify,一个 LLM 应用开发平台,结合了 AI 工作流、RAG 管道、代理能力、模型管理、可观测性功能等。
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## 服务
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- `dify-api`: Dify API 服务
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- `dify-worker`: 后台异步任务 Worker
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- `dify-web`: Web 前端界面
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- `dify-db`: PostgreSQL 数据库
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- `dify-redis`: Redis 缓存
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- `dify-weaviate`: Weaviate 向量数据库(可选 profile)
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## 环境变量
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| 变量名 | 描述 | 默认值 |
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| ------------------ | --------------------------------- | ---------- |
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| DIFY_VERSION | Dify 镜像版本 | `0.18.2` |
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| POSTGRES_USER | PostgreSQL 用户名 | `dify` |
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| POSTGRES_PASSWORD | PostgreSQL 密码 | `difypass` |
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| POSTGRES_DB | PostgreSQL 数据库名 | `dify` |
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| REDIS_PASSWORD | Redis 密码(留空则不需要认证) | `""` |
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| SECRET_KEY | 加密密钥 | (自动) |
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| LOG_LEVEL | 日志级别 | `INFO` |
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| DIFY_PORT_OVERRIDE | Web 界面主机端口映射 | `3000` |
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| STORAGE_TYPE | 存储类型(local, s3, azure-blob等) | `local` |
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| VECTOR_STORE | 向量库类型(weaviate, milvus等) | `weaviate` |
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| WEAVIATE_VERSION | Weaviate 版本(如果使用weaviate) | `1.28.12` |
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请根据您的需求修改 `.env` 文件。
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## 数据卷
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- `dify_storage`: 上传文件和生成内容的存储
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- `dify_db_data`: PostgreSQL 数据
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- `dify_redis_data`: Redis 持久化数据
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- `dify_weaviate_data`: Weaviate 向量数据库数据
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## 使用方法
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### 启动 Dify 与 Weaviate
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```bash
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docker compose --profile weaviate up -d
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```
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### 启动 Dify 不含向量数据库
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```bash
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docker compose up -d
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```
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### 访问
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- Web 界面: <http://localhost:3000>
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- API 文档: <http://localhost:5001/docs>
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### 首次设置
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1. 打开 <http://localhost:3000>
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2. 创建管理员账户
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3. 配置您的 LLM API 密钥(OpenAI、Azure OpenAI、Anthropic 等)
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4. 开始创建您的 AI 应用
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## 注意事项
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- 首次启动可能需要几分钟进行数据库初始化
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- 生产环境请修改 `SECRET_KEY` 以提高安全性
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- 生产环境建议使用外部 PostgreSQL 和 Redis
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- 支持多种 LLM 提供商:OpenAI、Azure OpenAI、Anthropic、Google、通过 Ollama 的本地模型等
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- 向量数据库是可选的,但建议用于 RAG 功能
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## 安全性
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- 生产环境请修改默认密码
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- 使用强 `SECRET_KEY`
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- 生产环境在 Redis 上启用认证
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- 生产环境考虑为 API 连接使用 TLS
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## 许可证
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Dify 采用 Apache License 2.0 许可。更多信息请参见 [Dify GitHub](https://github.com/langgenius/dify)。
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167
src/dify/docker-compose.yaml
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167
src/dify/docker-compose.yaml
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x-default: &default
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restart: unless-stopped
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volumes:
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- &localtime /etc/localtime:/etc/localtime:ro
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- &timezone /etc/timezone:/etc/timezone:ro
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logging:
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driver: json-file
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options:
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max-size: 100m
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services:
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dify-api:
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<<: *default
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image: langgenius/dify-api:${DIFY_VERSION:-0.18.2}
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container_name: dify-api
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depends_on:
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- dify-db
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- dify-redis
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environment:
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- MODE=api
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- LOG_LEVEL=${LOG_LEVEL:-INFO}
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- SECRET_KEY=${SECRET_KEY:-sk-9f73s3ljTXVcMT3Blb3ljTqtsKiGHXVcMT3BlbkFJLK7U}
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- DATABASE_URL=postgresql://${POSTGRES_USER:-dify}:${POSTGRES_PASSWORD:-difypass}@dify-db:5432/${POSTGRES_DB:-dify}
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- REDIS_HOST=dify-redis
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- REDIS_PORT=6379
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- REDIS_DB=0
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- REDIS_PASSWORD=${REDIS_PASSWORD:-}
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- CELERY_BROKER_URL=redis://:${REDIS_PASSWORD:-}@dify-redis:6379/1
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- STORAGE_TYPE=${STORAGE_TYPE:-local}
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- VECTOR_STORE=${VECTOR_STORE:-weaviate}
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- WEAVIATE_ENDPOINT=http://dify-weaviate:8080
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volumes:
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- *localtime
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- *timezone
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- dify_storage:/app/api/storage
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deploy:
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resources:
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limits:
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cpus: '1.0'
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memory: 2G
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reservations:
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cpus: '0.5'
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memory: 1G
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dify-worker:
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<<: *default
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image: langgenius/dify-api:${DIFY_VERSION:-0.18.2}
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container_name: dify-worker
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depends_on:
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- dify-db
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- dify-redis
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environment:
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- MODE=worker
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- LOG_LEVEL=${LOG_LEVEL:-INFO}
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- SECRET_KEY=${SECRET_KEY:-sk-9f73s3ljTXVcMT3Blb3ljTqtsKiGHXVcMT3BlbkFJLK7U}
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- DATABASE_URL=postgresql://${POSTGRES_USER:-dify}:${POSTGRES_PASSWORD:-difypass}@dify-db:5432/${POSTGRES_DB:-dify}
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- REDIS_HOST=dify-redis
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- REDIS_PORT=6379
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- REDIS_DB=0
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- REDIS_PASSWORD=${REDIS_PASSWORD:-}
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- CELERY_BROKER_URL=redis://:${REDIS_PASSWORD:-}@dify-redis:6379/1
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- STORAGE_TYPE=${STORAGE_TYPE:-local}
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- VECTOR_STORE=${VECTOR_STORE:-weaviate}
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- WEAVIATE_ENDPOINT=http://dify-weaviate:8080
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volumes:
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- *localtime
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- *timezone
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- dify_storage:/app/api/storage
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deploy:
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resources:
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limits:
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cpus: '1.0'
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memory: 2G
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reservations:
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cpus: '0.5'
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memory: 1G
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dify-web:
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<<: *default
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image: langgenius/dify-web:${DIFY_VERSION:-0.18.2}
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container_name: dify-web
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depends_on:
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- dify-api
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environment:
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- NEXT_PUBLIC_API_URL=${DIFY_API_URL:-http://localhost:5001}
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- NEXT_PUBLIC_APP_URL=${DIFY_APP_URL:-http://localhost:3000}
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ports:
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- "${DIFY_PORT_OVERRIDE:-3000}:3000"
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deploy:
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resources:
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limits:
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cpus: '0.5'
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memory: 512M
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reservations:
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cpus: '0.25'
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memory: 256M
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dify-db:
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<<: *default
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image: postgres:15-alpine
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container_name: dify-db
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environment:
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- POSTGRES_USER=${POSTGRES_USER:-dify}
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- POSTGRES_PASSWORD=${POSTGRES_PASSWORD:-difypass}
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- POSTGRES_DB=${POSTGRES_DB:-dify}
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- PGDATA=/var/lib/postgresql/data/pgdata
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volumes:
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- *localtime
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- *timezone
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- dify_db_data:/var/lib/postgresql/data
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deploy:
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resources:
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limits:
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cpus: '0.5'
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memory: 512M
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reservations:
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cpus: '0.25'
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memory: 256M
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dify-redis:
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<<: *default
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image: redis:7-alpine
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container_name: dify-redis
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command: redis-server --requirepass ${REDIS_PASSWORD:-}
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volumes:
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- *localtime
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- *timezone
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- dify_redis_data:/data
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deploy:
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resources:
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limits:
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cpus: '0.25'
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memory: 256M
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reservations:
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cpus: '0.1'
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memory: 128M
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dify-weaviate:
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<<: *default
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image: semitechnologies/weaviate:${WEAVIATE_VERSION:-1.28.12}
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container_name: dify-weaviate
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profiles:
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- weaviate
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environment:
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- QUERY_DEFAULTS_LIMIT=25
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- AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED=true
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- PERSISTENCE_DATA_PATH=/var/lib/weaviate
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- DEFAULT_VECTORIZER_MODULE=none
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- CLUSTER_HOSTNAME=node1
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volumes:
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- *localtime
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- *timezone
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- dify_weaviate_data:/var/lib/weaviate
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deploy:
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resources:
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limits:
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cpus: '0.5'
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memory: 1G
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reservations:
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cpus: '0.25'
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memory: 512M
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volumes:
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dify_storage:
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dify_db_data:
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dify_redis_data:
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dify_weaviate_data:
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