dayuan.jiang d5f31cb253 fix(server): use the keys the user sent, and more review fixes
Found by the second PR review:
- With AWS_BEARER_TOKEN_BEDROCK set on the server, a request with the
  user's AWS keys ran on the server's token: the Bedrock SDK prefers it.
  Checked with Bedrock: invalid user keys used to get an answer.
- An OpenAI key with the official URL filled in (the settings form does
  that) went to the Responses API. Back to main's rule: a configured base
  URL uses Chat Completions.
- A user's Ollama key went to the server's OLLAMA_BASE_URL, for chat and
  for the model list. Like every other provider, it goes to the user's
  base URL or Ollama Cloud.
- The server's keyless Ollama and EdgeOne were not counted in the quota.
- AI_MODEL models on the server's keys ran on any provider with a server
  key, not only on AI_PROVIDER.
- A user's Azure key without a base URL used the server's resource name.
- The admin panel's Test button failed whenever access codes were set.
- DeepSeek's errors in the stream (plain text) were shown as they were,
  without a hint and also on the server's keys. Bedrock's throttling in
  the stream was not recognised as a rate limit.
- The EdgeOne function accepted text/plain; x=application/json, which
  other sites can send without a CORS preflight.
- Desktop app: a launch that found the old port taken for a moment (the
  previous version still quitting after an update) remembered the new
  port for good. The new port is kept only when Windows reserves the old
  one. A failed read of the presets file moved it aside as corrupt, and a
  save could then replace the presets. Switching presets on the same port
  now reloads the page. The dev launcher no longer misses a preset change
  made before or during a restart.
2026-10-05 10:52:37 +09:00

Next AI Draw.io

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

English | 中文 | 日本語

TrendShift

License: Apache 2.0 Next.js React Sponsor

Live Demo

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 ByteDance Doubao sponsorship, the demo site now uses the powerful glm-4.7 model!

Atlas Cloud

🎁 Thanks to Atlas Cloud for sponsoring next-ai-draw-io. Its OpenAI-compatible API gives diagram workflows one provider connection for DeepSeek, Qwen, GLM, Kimi, MiniMax, and more. Budget-friendly access is available through the Coding Plan.

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

Table of Contents

Examples

Here are some example prompts and their generated diagrams:

Animated transformer connectors

Prompt: Give me a **animated connector** diagram of transformer's architecture.

Transformer Architecture with Animated Connectors
RAG Technique Diagram

Prompt: Generate a RAG architecture diagram for **chat application**. Use connected diagram for data ingestion

RAG Architecture Diagram
Authentication using React and AWS

Prompt: Generate authentication process using React with **AWS**. Use Serverless architecture.

Authentication Architecture Diagram
Open Innovation

Prompt: Create visualization of Henry Chesbrough's Open Innovation model.

Open Innovation Diagram
Cat sketch

Prompt: Draw a cute cat for me.

Cat Drawing

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

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

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

Claude Code CLI

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!

The MCP server includes most of the web app's drawing features:

  • The same drawing rules and shape libraries (AWS, Azure, GCP, Kubernetes and more)
  • A screenshot tool, so the AI can check the rendered diagram and fix it
  • Version history, multi-page diagrams, and download as .drawio, .png, .svg, or .drawio.svg
  • Auto-save to ~/.next-ai-drawio/, so you can continue a diagram after a restart

See the MCP Server README 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

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:

Supported platforms: Windows, macOS, Linux.

Run with Docker

Go to Docker Guide

Installation

  1. Clone the repository:
git clone https://github.com/DayuanJiang/next-ai-draw-io
cd next-ai-draw-io
npm install
cp env.example .env.local

See the Provider Configuration Guide for detailed setup instructions for each provider.

  1. Run the development server:
npm run dev
  1. Open http://localhost:6002 in your browser to see the application.

Deployment

Deploy to EdgeOne Pages

You can deploy with one click using Tencent EdgeOne Pages.

Deploy by this button:

Deploy to EdgeOne Pages

Check out the Tencent EdgeOne Pages documentation for more details.

Additionally, deploying through Tencent EdgeOne Pages will also grant you a daily free quota for DeepSeek models.

Deploy on Vercel

Deploy with Vercel

The easiest way to deploy is using Vercel, 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 for more details.

Deploy on Cloudflare Workers

Go to Cloudflare Deploy Guide

Multi-Provider Support

  • ByteDance Doubao
  • AWS Bedrock (default)
  • OpenAI
  • Anthropic
  • Google AI
  • Google Vertex AI
  • Azure OpenAI
  • Ollama
  • OpenRouter
  • AIHubMix
  • DeepSeek
  • SiliconFlow
  • ModelScope
  • SGLang
  • Vercel AI Gateway
  • Atlas Cloud

All providers except AWS Bedrock and OpenRouter support custom endpoints.

📖 Detailed Provider Configuration Guide - See setup instructions for each provider.

Server-Side Multi-Model Configuration

Administrators can configure multiple server-side models that are available to all users without requiring personal API keys. Configure via AI_MODELS_CONFIG environment variable (JSON string) or ai-models.json file. For a single-provider quick setup, list comma-separated model IDs in AI_MODEL.

Admin Panel

Set the ADMIN_PASSWORD environment variable and visit /admin to manage server settings (models, access codes, features, observability, quota) from a web panel instead of hand-editing .env.

📖 Admin Panel Guide — setup, precedence rules, and notes.

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 the claude series has been 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.

Support & Contact

Special thanks to ByteDance Doubao for sponsoring the API token usage of the demo site! Register on the ARK platform to get 500K free tokens for all models!

Special thanks to Atlas Cloud for sponsoring next-ai-draw-io and supporting its multi-provider ecosystem! Try its OpenAI-compatible LLM API through the Atlas Cloud Coding Plan.

If you find this project useful, please consider sponsoring 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

FAQ

See FAQ for common issues and solutions.

Star History

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Description
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.
Readme
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