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125 lines
4.3 KiB
Markdown
125 lines
4.3 KiB
Markdown
# 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
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- **Image-Based Diagram Replication**: Upload existing diagrams or images and have the AI replicate and enhance them automatically
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- **Diagram History**: Comprehensive version control that tracks all changes, allowing you to view and restore previous versions of your diagrams before the AI editing.
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- **Interactive Chat Interface**: Communicate with AI to refine your diagrams in real-time
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- **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
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The application uses the following technologies:
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- **Next.js**: For the frontend framework and routing
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- **@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
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- AWS Bedrock (default)
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- OpenAI
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- Anthropic
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- Google AI
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- Azure OpenAI
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- Ollama
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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
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1. Clone the repository:
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```bash
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git clone https://github.com/DayuanJiang/next-ai-draw-io
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cd next-ai-draw-io
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```
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2. Install dependencies:
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```bash
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npm install
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# or
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yarn install
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```
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3. Configure your AI provider:
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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)
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- Set `AI_MODEL` to the specific model you want to use
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- 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
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npm run dev
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```
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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.
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[](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
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```
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app/ # Next.js application routes and pages
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extract_xml.ts # Utilities for XML processing
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components/ # React components
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chat-input.tsx # User input component for AI interaction
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chatPanel.tsx # Chat interface with diagram control
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ui/ # UI components (buttons, cards, etc.)
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lib/ # Utility functions and helpers
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utils.ts # General utilities including XML conversion
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public/ # Static assets including example images
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```
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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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- [ ] Solve the bug that generation will fail for session that longer than 60s.
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## License
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This project is licensed under the MIT License.
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## Support & Contact
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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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---
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