next-ai-draw-io/README.md

# Next AI Draw.io

<div align="center">

**AI-Powered Diagram Creation Tool - Chat, Draw, Visualize**

English | [中文](./docs/README_CN.md) | [日本語](./docs/README_JA.md)

[![TrendShift](https://trendshift.io/api/badge/repositories/15449)](https://next-ai-drawio.jiang.jp/)

[![License: Apache 2.0](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![Next.js](https://img.shields.io/badge/Next.js-16.x-black)](https://nextjs.org/)
[![React](https://img.shields.io/badge/React-19.x-61dafb)](https://react.dev/)
[![Sponsor](https://img.shields.io/badge/Sponsor-❤-ea4aaa)](https://github.com/sponsors/DayuanJiang)

[![Live Demo](./public/live-demo-button.svg)](https://next-ai-drawio.jiang.jp/)

</div>

A Next.js web application that integrates AI capabilities with draw.io diagrams. Create, modify, and enhance diagrams through natural language commands and AI-assisted visualization.

> Note: Thanks to <img src="https://raw.githubusercontent.com/DayuanJiang/next-ai-draw-io/main/public/doubao-color.png" alt="" height="20" /> [ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) sponsorship, the demo site now uses the powerful K2-thinking model!


https://github.com/user-attachments/assets/9d60a3e8-4a1c-4b5e-acbb-26af2d3eabd1



## Table of Contents
- [Next AI Draw.io](#next-ai-drawio)
  - [Table of Contents](#table-of-contents)
  - [Examples](#examples)
  - [Features](#features)
  - [MCP Server (Preview)](#mcp-server-preview)
    - [Claude Code CLI](#claude-code-cli)
  - [Getting Started](#getting-started)
    - [Try it Online](#try-it-online)
    - [Desktop Application](#desktop-application)
    - [Run with Docker (Recommended)](#run-with-docker-recommended)
    - [Installation](#installation)
  - [Deployment](#deployment)
    - [Deploy on Vercel (Recommended)](#deploy-on-vercel-recommended)
    - [Deploy on Cloudflare Workers](#deploy-on-cloudflare-workers)
  - [Multi-Provider Support](#multi-provider-support)
  - [How It Works](#how-it-works)
  - [Project Structure](#project-structure)
  - [Support \& Contact](#support--contact)
  - [Star History](#star-history)

## Examples

Here are some example prompts and their generated diagrams:

<div align="center">
<table width="100%">
  <tr>
    <td colspan="2" valign="top" align="center">
      <strong>Animated transformer connectors</strong><br />
      <p><strong>Prompt:</strong> Give me a **animated connector** diagram of transformer's architecture.</p>
      <img src="./public/animated_connectors.svg" alt="Transformer Architecture with Animated Connectors" width="480" />
    </td>
  </tr>
  <tr>
    <td width="50%" valign="top">
      <strong>GCP architecture diagram</strong><br />
      <p><strong>Prompt:</strong> Generate a GCP architecture diagram with **GCP icons**. In this diagram, users connect to a frontend hosted on an instance.</p>
      <img src="./public/gcp_demo.svg" alt="GCP Architecture Diagram" width="480" />
    </td>
    <td width="50%" valign="top">
      <strong>AWS architecture diagram</strong><br />
      <p><strong>Prompt:</strong> Generate a AWS architecture diagram with **AWS icons**. In this diagram, users connect to a frontend hosted on an instance.</p>
      <img src="./public/aws_demo.svg" alt="AWS Architecture Diagram" width="480" />
    </td>
  </tr>
  <tr>
    <td width="50%" valign="top">
      <strong>Azure architecture diagram</strong><br />
      <p><strong>Prompt:</strong> Generate a Azure architecture diagram with **Azure icons**. In this diagram, users connect to a frontend hosted on an instance.</p>
      <img src="./public/azure_demo.svg" alt="Azure Architecture Diagram" width="480" />
    </td>
    <td width="50%" valign="top">
      <strong>Cat sketch prompt</strong><br />
      <p><strong>Prompt:</strong> Draw a cute cat for me.</p>
      <img src="./public/cat_demo.svg" alt="Cat Drawing" width="240" />
    </td>
  </tr>
</table>
</div>

## Features

-   **LLM-Powered Diagram Creation**: Leverage Large Language Models to create and manipulate draw.io diagrams directly through natural language commands
-   **Image-Based Diagram Replication**: Upload existing diagrams or images and have the AI replicate and enhance them automatically
-   **PDF & Text File Upload**: Upload PDF documents and text files to extract content and generate diagrams from existing documents
-   **AI Reasoning Display**: View the AI's thinking process for supported models (OpenAI o1/o3, Gemini, Claude, etc.)
-   **Diagram History**: Comprehensive version control that tracks all changes, allowing you to view and restore previous versions of your diagrams before the AI editing.
-   **Interactive Chat Interface**: Communicate with AI to refine your diagrams in real-time
-   **Cloud Architecture Diagram Support**: Specialized support for generating cloud architecture diagrams (AWS, GCP, Azure)
-   **Animated Connectors**: Create dynamic and animated connectors between diagram elements for better visualization

## MCP Server (Preview)

> **Preview Feature**: This feature is experimental and may not stable.

Use Next AI Draw.io with AI agents like Claude Desktop, Cursor, and VS Code via MCP (Model Context Protocol).

```json
{
  "mcpServers": {
    "drawio": {
      "command": "npx",
      "args": ["@next-ai-drawio/mcp-server@latest"]
    }
  }
}
```

### Claude Code CLI

```bash
claude mcp add drawio -- npx @next-ai-drawio/mcp-server@latest
```

Then ask Claude to create diagrams:
> "Create a flowchart showing user authentication with login, MFA, and session management"

The diagram appears in your browser in real-time!

See the [MCP Server README](./packages/mcp-server/README.md) for VS Code, Cursor, and other client configurations.

## Getting Started

### Try it Online

No installation needed! Try the app directly on our demo site:

[![Live Demo](./public/live-demo-button.svg)](https://next-ai-drawio.jiang.jp/)



> **Bring Your Own API Key**: You can use your own API key to bypass usage limits on the demo site. Click the Settings icon in the chat panel to configure your provider and API key. Your key is stored locally in your browser and is never stored on the server.

### Desktop Application

Download the native desktop app for your platform from the [Releases page](https://github.com/DayuanJiang/next-ai-draw-io/releases):

| Platform | Download |
|----------|----------|
| macOS | `.dmg` (Intel & Apple Silicon) |
| Windows | `.exe` installer (x64 & ARM64) |
| Linux | `.AppImage` or `.deb` (x64 & ARM64) |

**Features:**
- **Secure API key storage**: Credentials encrypted using OS keychain
- **Configuration presets**: Save and switch between AI providers via menu
- **Native file dialogs**: Open/save `.drawio` files directly
- **Offline capable**: Works without internet after first launch

**Quick Setup:**
1. Download and install for your platform
2. Open the app → **Menu → Configuration → Manage Presets**
3. Add your AI provider credentials
4. Start creating diagrams!

### Run with Docker (Recommended)

If you just want to run it locally, the best way is to use Docker.

First, install Docker if you haven't already: [Get Docker](https://docs.docker.com/get-docker/)

Then run:

```bash
docker run -d -p 3000:3000 \
  -e AI_PROVIDER=openai \
  -e AI_MODEL=gpt-4o \
  -e OPENAI_API_KEY=your_api_key \
  ghcr.io/dayuanjiang/next-ai-draw-io:latest
```

Or use an env file:

```bash
cp env.example .env
# Edit .env with your configuration
docker run -d -p 3000:3000 --env-file .env ghcr.io/dayuanjiang/next-ai-draw-io:latest
```

Open [http://localhost:3000](http://localhost:3000) in your browser.

Replace the environment variables with your preferred AI provider configuration. See [Multi-Provider Support](#multi-provider-support) for available options.

> **Offline Deployment:** If `embed.diagrams.net` is blocked, see [Offline Deployment](./docs/offline-deployment.md) for configuration options.

### Installation

1. Clone the repository:

```bash
git clone https://github.com/DayuanJiang/next-ai-draw-io
cd next-ai-draw-io
```

2. Install dependencies:

```bash
npm install
```

3. Configure your AI provider:

Create a `.env.local` file in the root directory:

```bash
cp env.example .env.local
```

Edit `.env.local` and configure your chosen provider:

-   Set `AI_PROVIDER` to your chosen provider (doubao,bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow)
-   Set `AI_MODEL` to the specific model you want to use
-   Add the required API keys for your provider
-   `TEMPERATURE`: Optional temperature setting (e.g., `0` for deterministic output). Leave unset for models that don't support it (e.g., reasoning models).
-   `ACCESS_CODE_LIST`: Optional access password(s), can be comma-separated for multiple passwords.

> Warning: If you do not set `ACCESS_CODE_LIST`, anyone can access your deployed site directly, which may lead to rapid depletion of your token. It is recommended to set this option.

See the [Provider Configuration Guide](./docs/ai-providers.md) for detailed setup instructions for each provider.

4. Run the development server:

```bash
npm run dev
```

5. Open [http://localhost:3000](http://localhost:3000) in your browser to see the application.

## Deployment

### Deploy on Vercel (Recommended)

[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)

The easiest way to deploy is using [Vercel](https://vercel.com/new), the creators of Next.js. Be sure to **set the environment variables** in the Vercel dashboard as you did in your local `.env.local` file.

See the [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details.

### Deploy on Cloudflare Workers

[Go to Cloudflare Deploy Guide](./docs/Cloudflare_Deploy.md)



## Multi-Provider Support

-   [ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)
-   AWS Bedrock (default)
-   OpenAI
-   Anthropic
-   Google AI
-   Azure OpenAI
-   Ollama
-   OpenRouter
-   DeepSeek
-   SiliconFlow


All providers except AWS Bedrock and OpenRouter support custom endpoints.

📖 **[Detailed Provider Configuration Guide](./docs/ai-providers.md)** - See setup instructions for each provider.

**Model Requirements**: This task requires strong model capabilities for generating long-form text with strict formatting constraints (draw.io XML). Recommended models include Claude Sonnet 4.5, GPT-5.1, Gemini 3 Pro, and DeepSeek V3.2/R1.

Note that `claude` series has trained on draw.io diagrams with cloud architecture logos like AWS, Azure, GCP. So if you want to create cloud architecture diagrams, this is the best choice.


## How It Works

The application uses the following technologies:

-   **Next.js**: For the frontend framework and routing
-   **Vercel AI SDK** (`ai` + `@ai-sdk/*`): For streaming AI responses and multi-provider support
-   **react-drawio**: For diagram representation and manipulation

Diagrams are represented as XML that can be rendered in draw.io. The AI processes your commands and generates or modifies this XML accordingly.

## Project Structure

```
app/                  # Next.js App Router
  api/chat/           # Chat API endpoint with AI tools
  page.tsx            # Main page with DrawIO embed
components/           # React components
  chat-panel.tsx      # Chat interface with diagram control
  chat-input.tsx      # User input component with file upload
  history-dialog.tsx  # Diagram version history viewer
  ui/                 # UI components (buttons, cards, etc.)
contexts/             # React context providers
  diagram-context.tsx # Global diagram state management
lib/                  # Utility functions and helpers
  ai-providers.ts     # Multi-provider AI configuration
  utils.ts            # XML processing and conversion utilities
public/               # Static assets including example images
```

## Support & Contact

**Special thanks to [ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) for sponsoring the API token usage of the demo site!** Register on the ARK platform to get 500K free tokens for all models!

If you find this project useful, please consider [sponsoring](https://github.com/sponsors/DayuanJiang) to help me host the live demo site!

For support or inquiries, please open an issue on the GitHub repository or contact the maintainer at:

-   Email: me[at]jiang.jp

## Star History

[![Star History Chart](https://api.star-history.com/svg?repos=DayuanJiang/next-ai-draw-io&type=date&legend=top-left)](https://www.star-history.com/#DayuanJiang/next-ai-draw-io&type=date&legend=top-left)

---