CLI

Command Line Interface for Dify Plugin Development

Set up and package your Dify plugins using the Command Line Interface (CLI). The CLI provides a streamlined way to manage your plugin development workflow, from initialization to packaging.

This guide will instruct you on how to use the CLI for Dify plugin development.

Prerequisites

Before you begin, ensure you have the following installed:

• Python version 3.12
• Dify CLI
• Homebrew (for Mac users)

Create a Dify Plugin Project

Mac

brew tap langgenius/dify
brew install dify

Linux

Get the latest Dify CLI from the Dify GitHub releases page

# Download dify-plugin-darwin-arm64
chmod +x dify-plugin-darwin-arm64
mv dify-plugin-darwin-arm64 dify
sudo mv dify /usr/local/bin/

Now you have successfully installed the Dify CLI. You can verify the installation by running:

dify version

You can create a new Dify plugin project using the following command:

dify plugin init

Fill in the required fields when prompted:

Edit profile of the plugin
Plugin name (press Enter to next step): hello-world
Author (press Enter to next step): langgenius
Description (press Enter to next step): hello world example
Repository URL (Optional) (press Enter to next step): Repository URL (Optional)
  Enable multilingual README: [✔] English is required by default

Languages to generate:
    English: [✔] (required)
  → 简体中文 (Simplified Chinese): [✔]
    日本語 (Japanese): [✘]
    Português (Portuguese - Brazil): [✘]

Controls:
  ↑/↓ Navigate • Space/Tab Toggle selection • Enter Next step

Choose python and hit Enter to proceed with the Python plugin template.

Select the type of plugin you want to create, and press `Enter` to continue
Before starting, here's some basic knowledge about Plugin types in Dify:

- Tool: Tool Providers like Google Search, Stable Diffusion, etc. Used to perform specific tasks.
- Model: Model Providers like OpenAI, Anthropic, etc. Use their models to enhance AI capabilities.
- Endpoint: Similar to Service API in Dify and Ingress in Kubernetes. Extend HTTP services as endpoints with custom logi
- Agent Strategy: Implement your own agent strategies like Function Calling, ReAct, ToT, CoT, etc.

Based on the ability you want to extend, Plugins are divided into four types: Tool, Model, Extension, and Agent Strategy

- Tool: A tool provider that can also implement endpoints. For example, building a Discord Bot requires both Sending and
- Model: Strictly for model providers, no other extensions allowed.
- Extension: For simple HTTP services that extend functionality.
- Agent Strategy: Implement custom agent logic with a focused approach.

We've provided templates to help you get started. Choose one of the options below:
-> tool
  agent-strategy
  llm
  text-embedding
  rerank
  tts
  speech2text
  moderation
  extension

Enter the default dify version, leave it blank to use the latest version:

Edit minimal Dify version requirement, leave it blank by default
Minimal Dify version (press Enter to next step): 

Now you are ready to go! The CLI will create a new directory with the plugin name you provided, and set up the basic structure for your plugin.

cd hello-world

Run the Plugin

Make sure you are in the hello-world directory

cp .env.example .env

Edit the .env file to set your plugin’s environment variables, such as API keys or other configurations. You can find these variables in the Dify dashboard. Log in to your Dify environment, click the “Plugins” icon in the top right corner, then click the debug icon (or something that looks like a bug). In the pop-up window, copy the “API Key” and “Host Address”. (Please refer to your local corresponding screenshot, which shows the interface for obtaining the key and host address)

INSTALL_METHOD=remote
REMOTE_INSTALL_HOST=debug-plugin.dify.dev
REMOTE_INSTALL_PORT=5003
REMOTE_INSTALL_KEY=********-****-****-****-************

Now you can run your plugin locally using the following command:

pip install -r requirements.txt
python -m main

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