使用 Dify 构建生产环境的代理工作流应用
Build, test, and operate agentic workflow apps in Dify when an operator needs a governed path from prototype to production.
Prerequisites
Docker, Docker Compose, Dify workspace, model provider credentials, optional observability integrations
Installation
Use the upstream install or setup path that matches your environment:
- docker compose up -d
- If you need to customize the configuration, edit docker/.env. The essential startup defaults live in docker/.env.example, and optional advanced variables are split under docker/envs/ by theme. A...
Requirements and caveats from upstream:
- <a href="https://hub.docker.com/u/langgenius" target="_blank">
- <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
- The easiest way to start the Dify server is through Docker Compose. Before running Dify with the following commands, make sure that Docker and [Dock...
Basic usage or getting-started notes:
- Before installing Dify, make sure your machine meets the following minimum system requirements:
- CPU >= 2 Core
- RAM >= 4 GiB
- Source: https://github.com/1991513ccie-png/skills
- Extracted from upstream docs: https://raw.githubusercontent.com/langgenius/dify/HEAD/README.md
Documentation
- https://docs.dify.ai
