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# 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.
https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
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## Table of Contents
- [Next AI Draw.io ](#next-ai-drawio-)
- [Table of Contents](#table-of-contents)
- [Examples](#examples)
- [Features](#features)
- [Getting Started](#getting-started)
- [Try it Online](#try-it-online)
- [Run with Docker (Recommended)](#run-with-docker-recommended)
- [Installation](#installation)
- [Deployment](#deployment)
- [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:
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<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>
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<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" />
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</td>
</tr>
</table>
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</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
- **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
- **AWS Architecture Diagram Support**: Specialized support for generating AWS architecture diagrams
- **Animated Connectors**: Create dynamic and animated connectors between diagram elements for better visualization
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## Getting Started
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### Try it Online
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No installation needed! Try the app directly on our demo site:
[![Live Demo](./public/live-demo-button.svg)](https://next-ai-drawio.jiang.jp/)
> Note: Due to high traffic, the demo site currently uses Claude Haiku 4.5. For best results, we recommend self-hosting with Claude Opus 4.5.
### 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 (create one from `env.example`):
```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.
### Installation
1. Clone the repository:
```bash
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git clone https://github.com/DayuanJiang/next-ai-draw-io
cd next-ai-draw-io
```
2. Install dependencies:
```bash
npm install
```
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3. Configure your AI provider:
Create a `.env.local` file in the root directory:
```bash
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cp env.example .env.local
```
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Edit `.env.local` and configure your chosen provider:
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- Set `AI_PROVIDER` to your chosen provider (bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow)
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- 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
The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new) from the creators of Next.js.
Check out the [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details.
Or you can deploy by this button.
[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
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Be sure to **set the environment variables** in the Vercel dashboard as you did in your local `.env.local` file.
## Multi-Provider Support
- 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-4o, Gemini 2.0, and DeepSeek V3/R1.
Note that `claude-sonnet-4-5` has trained on draw.io diagrams with AWS logos, so if you want to create AWS 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
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:
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- 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)
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---