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# Next AI Draw.io
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A next.js web application that integrates AI capabilities with draw.io diagrams. This app allows you to create, modify, and enhance diagrams through natural language commands and AI-assisted visualization.
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https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
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Demo site: [https://next-ai-draw-io.vercel.app/ ](https://next-ai-draw-io.vercel.app/ )
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## Features
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- **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
- **Smart Editing** : Modify existing diagrams using simple text prompts
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- **Targeted XML Editing** : AI can now make precise edits to specific parts of diagrams without regenerating the entire XML, making updates faster and more efficient
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## How It Works
The application uses the following technologies:
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- **Next.js** : For the frontend framework and routing
- ** @ai -sdk/react**: For the chat interface and AI interactions
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- **react-drawio** : For diagram representation and manipulation
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Diagrams are represented as XML that can be rendered in draw.io. The AI processes your commands and generates or modifies this XML accordingly.
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## Multi-Provider Support
This application supports multiple AI providers, making it easy to deploy with your preferred service. Choose from:
### Supported Providers
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| Provider | Status | Best For |
| ---------------- | ------------ | ------------------------------------------- |
| **AWS Bedrock** | ✅ Default | Claude models via AWS infrastructure |
| **OpenAI** | ✅ Supported | GPT-4, GPT-5, and reasoning models |
| **Anthropic** | ✅ Supported | Direct access to Claude models |
| **Google AI** | ✅ Supported | Gemini models with multi-modal capabilities |
| **Azure OpenAI** | ✅ Supported | Enterprise OpenAI deployments |
| **Ollama** | ✅ Supported | Local/self-hosted open source models |
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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.
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## Getting Started
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### Installation
1. Clone the repository:
```bash
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git clone https://github.com/DayuanJiang/next-ai-draw-io
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cd next-ai-draw-io
```
2. Install dependencies:
```bash
npm install
# or
yarn install
```
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3. Configure your AI provider:
Create a `.env.local` file in the root directory:
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```bash
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cp env.example .env.local
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```
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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)
- Set `AI_MODEL` to the specific model you want to use
- Add the required API keys for your provider
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See the [Multi-Provider Support ](#multi-provider-support ) section above for provider-specific configuration examples.
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4. Run the development server:
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```bash
npm run dev
```
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5. Open [http://localhost:3000 ](http://localhost:3000 ) in your browser to see the application.
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## Deployment
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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.
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Check out the [Next.js deployment documentation ](https://nextjs.org/docs/app/building-your-application/deploying ) for more details.
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Or you can deploy by this 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.
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## Project Structure
```
app/ # Next.js application routes and pages
extract_xml.ts # Utilities for XML processing
components/ # React components
chat-input.tsx # User input component for AI interaction
chatPanel.tsx # Chat interface with diagram control
ui/ # UI components (buttons, cards, etc.)
lib/ # Utility functions and helpers
utils.ts # General utilities including XML conversion
public/ # Static assets including example images
```
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## TODOs
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- [x] Allow the LLM to modify the XML instead of generating it from scratch everytime.
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- [x] Improve the smoothness of shape streaming updates.
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- [x] Add multiple AI provider support (OpenAI, Anthropic, Google, Azure, Ollama)
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## License
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This project is licensed under the MIT License.
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## Support & Contact
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
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