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1 Commits

Author SHA1 Message Date
dayuan.jiang
30bf92fbbb feat: enhance system prompt with app context and dynamic model name
- Add App Context section describing the left/right panel layout
- Add App Features section with icon locations (history, theme, upload, export, clear)
- Dynamically inject model name into system prompt via {{MODEL_NAME}} placeholder
- Expand edit_diagram tool description with usage guidelines
2025-12-06 12:36:57 +09:00
165 changed files with 4421 additions and 35252 deletions

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@@ -1,3 +1,6 @@
{
"extends": ["next/core-web-vitals", "next/typescript"]
"extends": [
"next/core-web-vitals",
"next/typescript"
]
}

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@@ -1,35 +0,0 @@
# Contributing
## Setup
```bash
git clone https://github.com/YOUR_USERNAME/next-ai-draw-io.git
cd next-ai-draw-io
npm install
cp env.example .env.local
npm run dev
```
## Code Style
We use [Biome](https://biomejs.dev/) for linting and formatting:
```bash
npm run format # Format code
npm run lint # Check lint errors
npm run check # Run all checks (CI)
```
Pre-commit hooks via Husky will run Biome automatically on staged files.
For a better experience, install the [Biome VS Code extension](https://marketplace.visualstudio.com/items?itemName=biomejs.biome) for real-time linting and format-on-save.
## Pull Requests
1. Create a feature branch
2. Make changes and ensure `npm run check` passes
3. Submit PR against `main` with a clear description
## Issues
Include steps to reproduce, expected vs actual behavior, and AI provider used.

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@@ -1,35 +0,0 @@
---
name: Bug Report
about: Report a bug to help us improve
title: '[Bug] '
labels: bug
assignees: ''
---
> **Note**: This template is just a guide. Feel free to ignore the format entirely - any feedback is welcome! Don't let the template stop you from sharing your thoughts.
## Bug Description
A brief description of the issue.
## Steps to Reproduce
1. Go to '...'
2. Click on '...'
3. Scroll to '...'
4. See error
## Expected Behavior
What you expected to happen.
## Actual Behavior
What actually happened.
## Screenshots
If applicable, add screenshots to help explain the problem.
## Environment
- OS: [e.g. Windows 11, macOS 14]
- Browser: [e.g. Chrome 120, Safari 17]
- Version: [e.g. 1.0.0]
## Additional Context
Any other information about the problem.

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@@ -1,5 +0,0 @@
blank_issues_enabled: true
contact_links:
- name: Discussions
url: https://github.com/DayuanJiang/next-ai-draw-io/discussions
about: Have questions or ideas? Feel free to start a discussion

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@@ -1,25 +0,0 @@
---
name: Feature Request
about: Suggest a new feature for this project
title: '[Feature] '
labels: enhancement
assignees: ''
---
> **Note**: This template is just a guide. Feel free to ignore the format entirely - any feedback is welcome! Don't let the template stop you from sharing your ideas.
## Feature Description
A brief description of the feature you'd like.
## Problem Context
Is this related to a problem? Please describe.
e.g. I'm always frustrated when [...]
## Proposed Solution
How you'd like this feature to work.
## Alternatives Considered
Any alternative solutions or features you've considered.
## Additional Context
Any other information or screenshots about the feature request.

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@@ -1,47 +0,0 @@
name: Auto Format
on:
pull_request:
types: [opened, synchronize]
permissions:
contents: write
jobs:
format:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4
with:
ref: ${{ github.head_ref }}
token: ${{ secrets.GITHUB_TOKEN }}
- name: Setup Node.js
uses: actions/setup-node@v4
with:
node-version: '20'
- name: Install Biome
run: npm install --save-dev @biomejs/biome
- name: Run Biome format
run: npx @biomejs/biome check --write --no-errors-on-unmatched .
- name: Check for changes
id: changes
run: |
if git diff --quiet; then
echo "has_changes=false" >> $GITHUB_OUTPUT
else
echo "has_changes=true" >> $GITHUB_OUTPUT
fi
- name: Commit changes
if: steps.changes.outputs.has_changes == 'true'
run: |
git config --global user.name "github-actions[bot]"
git config --global user.email "github-actions[bot]@users.noreply.github.com"
git add .
git commit -m "style: auto-format with Biome"
git push

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@@ -64,27 +64,3 @@ jobs:
cache-to: type=gha,mode=max
platforms: linux/amd64,linux/arm64
# Push to AWS ECR for App Runner auto-deploy
- name: Configure AWS credentials
if: github.event_name != 'pull_request' && github.ref == 'refs/heads/main'
uses: aws-actions/configure-aws-credentials@v4
with:
aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
aws-region: ap-northeast-1
- name: Login to Amazon ECR
if: github.event_name != 'pull_request' && github.ref == 'refs/heads/main'
id: login-ecr
uses: aws-actions/amazon-ecr-login@v2
- name: Push to ECR (triggers App Runner auto-deploy)
if: github.event_name != 'pull_request' && github.ref == 'refs/heads/main'
env:
REPO_LOWER: ${{ github.repository }}
run: |
REPO_LOWER=$(echo "$REPO_LOWER" | tr '[:upper:]' '[:lower:]')
docker pull ghcr.io/${REPO_LOWER}:latest
docker tag ghcr.io/${REPO_LOWER}:latest ${{ secrets.AWS_ACCOUNT_ID }}.dkr.ecr.ap-northeast-1.amazonaws.com/next-ai-draw-io:latest
docker push ${{ secrets.AWS_ACCOUNT_ID }}.dkr.ecr.ap-northeast-1.amazonaws.com/next-ai-draw-io:latest

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@@ -1,46 +0,0 @@
name: Electron Release
on:
push:
tags:
- "v*"
workflow_dispatch:
inputs:
version:
description: "Version tag (e.g., v0.4.5)"
required: false
jobs:
build:
permissions:
contents: write
strategy:
fail-fast: false
matrix:
include:
- os: macos-latest
platform: mac
- os: windows-latest
platform: win
- os: ubuntu-latest
platform: linux
runs-on: ${{ matrix.os }}
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Setup Node.js
uses: actions/setup-node@v4
with:
node-version: 20
cache: "npm"
- name: Install dependencies
run: npm ci
- name: Build and publish Electron app
run: npm run dist:${{ matrix.platform }}
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}

25
.gitignore vendored
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@@ -2,8 +2,6 @@
# dependencies
/node_modules
packages/*/node_modules
packages/*/dist
/.pnp
.pnp.*
.yarn/*
@@ -42,24 +40,5 @@ yarn-error.log*
*.tsbuildinfo
next-env.d.ts
push-via-ec2.sh
.claude/
.playwright-mcp/
# Cloudflare
.dev.vars
.open-next/
.wrangler/
.env*.local
# Electron
/dist-electron/
/release/
/electron-standalone/
*.dmg
*.exe
*.AppImage
*.deb
*.rpm
*.snap
CLAUDE.md
.spec-workflow
.claude/settings.local.json
.playwright-mcp/

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@@ -1 +0,0 @@
npx lint-staged

23
.vscode/settings.json vendored
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@@ -1,23 +0,0 @@
{
"editor.formatOnSave": true,
"editor.defaultFormatter": "biomejs.biome",
"editor.codeActionsOnSave": {
"source.fixAll.biome": "explicit",
"source.organizeImports.biome": "explicit"
},
"[javascript]": {
"editor.defaultFormatter": "biomejs.biome"
},
"[typescript]": {
"editor.defaultFormatter": "biomejs.biome"
},
"[javascriptreact]": {
"editor.defaultFormatter": "biomejs.biome"
},
"[typescriptreact]": {
"editor.defaultFormatter": "biomejs.biome"
},
"[json]": {
"editor.defaultFormatter": "biomejs.biome"
}
}

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@@ -22,10 +22,6 @@ COPY . .
# Disable Next.js telemetry during build
ENV NEXT_TELEMETRY_DISABLED=1
# Build-time argument for self-hosted draw.io URL
ARG NEXT_PUBLIC_DRAWIO_BASE_URL=https://embed.diagrams.net
ENV NEXT_PUBLIC_DRAWIO_BASE_URL=${NEXT_PUBLIC_DRAWIO_BASE_URL}
# Build Next.js application (standalone mode)
RUN npm run build
@@ -54,6 +50,6 @@ EXPOSE 3000
ENV PORT=3000
ENV HOSTNAME="0.0.0.0"
# Start the application (HOSTNAME override needed for AWS App Runner)
CMD ["sh", "-c", "HOSTNAME=0.0.0.0 exec node server.js"]
# Start the application
CMD ["node", "server.js"]

180
README.md
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@@ -4,46 +4,31 @@
**AI-Powered Diagram Creation Tool - Chat, Draw, Visualize**
English | [中文](./docs/README_CN.md) | [日本語](./docs/README_JA.md)
English | [中文](./README_CN.md) | [日本語](./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/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Next.js](https://img.shields.io/badge/Next.js-15.x-black)](https://nextjs.org/)
[![TypeScript](https://img.shields.io/badge/TypeScript-5.x-blue)](https://www.typescriptlang.org/)
[![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/)
[🚀 Live Demo](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
## Features
https://github.com/user-attachments/assets/9d60a3e8-4a1c-4b5e-acbb-26af2d3eabd1
- **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
## 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)
- [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)
- [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
## **Examples**
Here are some example prompts and their generated diagrams:
@@ -83,81 +68,37 @@ Here are some example prompts and their generated diagrams:
</table>
</div>
## Features
## How It Works
- **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
The application uses the following technologies:
## MCP Server (Preview)
- **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
> **Preview Feature**: This feature is experimental and may not stable.
Diagrams are represented as XML that can be rendered in draw.io. The AI processes your commands and generates or modifies this XML accordingly.
Use Next AI Draw.io with AI agents like Claude Desktop, Cursor, and VS Code via MCP (Model Context Protocol).
## Multi-Provider Support
```json
{
"mcpServers": {
"drawio": {
"command": "npx",
"args": ["@next-ai-drawio/mcp-server@latest"]
}
}
}
```
- AWS Bedrock (default)
- OpenAI
- Anthropic
- Google AI
- Azure OpenAI
- Ollama
- OpenRouter
- DeepSeek
### Claude Code CLI
All providers except AWS Bedrock and OpenRouter support custom endpoints.
```bash
claude mcp add drawio -- npx @next-ai-drawio/mcp-server@latest
```
📖 **[Detailed Provider Configuration Guide](./docs/ai-providers.md)** - See setup instructions for each provider.
Then ask Claude to create diagrams:
> "Create a flowchart showing user authentication with login, MFA, and session management"
**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.
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.
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.
## 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/)
> Note: Due to high traffic, the demo site currently uses minimax-m2. For best results, we recommend self-hosting with Claude Sonnet 4.5 or Claude Opus 4.5.
> **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.
@@ -174,20 +115,10 @@ docker run -d -p 3000:3000 \
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:
@@ -201,6 +132,8 @@ cd next-ai-draw-io
```bash
npm install
# or
yarn install
```
3. Configure your AI provider:
@@ -213,10 +146,9 @@ cp env.example .env.local
Edit `.env.local` and configure your chosen provider:
- Set `AI_PROVIDER` to your chosen provider (bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow)
- Set `AI_PROVIDER` to your chosen provider (bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek)
- 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.
@@ -242,38 +174,6 @@ Or you can deploy by this button.
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-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
```
@@ -293,6 +193,14 @@ lib/ # Utility functions and helpers
public/ # Static assets including example images
```
## TODOs
- [x] Allow the LLM to modify the XML instead of generating it from scratch everytime.
- [x] Improve the smoothness of shape streaming updates.
- [x] Add multiple AI provider support (OpenAI, Anthropic, Google, Azure, Ollama)
- [x] Solve the bug that generation will fail for session that longer than 60s.
- [ ] Add API config on the UI.
## Support & Contact
If you find this project useful, please consider [sponsoring](https://github.com/sponsors/DayuanJiang) to help me host the live demo site!

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@@ -4,16 +4,14 @@
**AI驱动的图表创建工具 - 对话、绘制、可视化**
[English](../README.md) | 中文 | [日本語](./README_JA.md)
[English](./README.md) | 中文 | [日本語](./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/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Next.js](https://img.shields.io/badge/Next.js-15.x-black)](https://nextjs.org/)
[![TypeScript](https://img.shields.io/badge/TypeScript-5.x-blue)](https://www.typescriptlang.org/)
[![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/)
[🚀 在线演示](https://next-ai-drawio.jiang.jp/)
</div>
@@ -21,24 +19,16 @@
https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
## 目录
- [Next AI Draw.io](#next-ai-drawio)
- [目录](#目录)
- [示例](#示例)
- [功能特性](#功能特性)
- [MCP服务器预览](#mcp服务器预览)
- [快速开始](#快速开始)
- [在线试用](#在线试用)
- [使用Docker运行推荐](#使用docker运行推荐)
- [安装](#安装)
- [部署](#部署)
- [多提供商支持](#多提供商支持)
- [工作原理](#工作原理)
- [项目结构](#项目结构)
- [支持与联系](#支持与联系)
- [Star历史](#star历史)
## 功能特性
## 示例
- **LLM驱动的图表创建**利用大语言模型通过自然语言命令直接创建和操作draw.io图表
- **基于图像的图表复制**上传现有图表或图像让AI自动复制和增强
- **图表历史记录**全面的版本控制跟踪所有更改允许您查看和恢复AI编辑前的图表版本
- **交互式聊天界面**与AI实时对话来完善您的图表
- **AWS架构图支持**专门支持生成AWS架构图
- **动画连接器**:在图表元素之间创建动态动画连接器,实现更好的可视化效果
## **示例**
以下是一些示例提示词及其生成的图表:
@@ -48,89 +38,67 @@ https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
<td colspan="2" valign="top" align="center">
<strong>动画Transformer连接器</strong><br />
<p><strong>提示词:</strong> 给我一个带有**动画连接器**的Transformer架构图。</p>
<img src="../public/animated_connectors.svg" alt="带动画连接器的Transformer架构" width="480" />
<img src="./public/animated_connectors.svg" alt="带动画连接器的Transformer架构" width="480" />
</td>
</tr>
<tr>
<td width="50%" valign="top">
<strong>GCP架构图</strong><br />
<p><strong>提示词:</strong> 使用**GCP图标**生成一个GCP架构图。在这个图中用户连接到托管在实例上的前端。</p>
<img src="../public/gcp_demo.svg" alt="GCP架构图" width="480" />
<img src="./public/gcp_demo.svg" alt="GCP架构图" width="480" />
</td>
<td width="50%" valign="top">
<strong>AWS架构图</strong><br />
<p><strong>提示词:</strong> 使用**AWS图标**生成一个AWS架构图。在这个图中用户连接到托管在实例上的前端。</p>
<img src="../public/aws_demo.svg" alt="AWS架构图" width="480" />
<img src="./public/aws_demo.svg" alt="AWS架构图" width="480" />
</td>
</tr>
<tr>
<td width="50%" valign="top">
<strong>Azure架构图</strong><br />
<p><strong>提示词:</strong> 使用**Azure图标**生成一个Azure架构图。在这个图中用户连接到托管在实例上的前端。</p>
<img src="../public/azure_demo.svg" alt="Azure架构图" width="480" />
<img src="./public/azure_demo.svg" alt="Azure架构图" width="480" />
</td>
<td width="50%" valign="top">
<strong>猫咪素描</strong><br />
<p><strong>提示词:</strong> 给我画一只可爱的猫。</p>
<img src="../public/cat_demo.svg" alt="猫咪绘图" width="240" />
<img src="./public/cat_demo.svg" alt="猫咪绘图" width="240" />
</td>
</tr>
</table>
</div>
## 功能特性
## 工作原理
- **LLM驱动的图表创建**利用大语言模型通过自然语言命令直接创建和操作draw.io图表
- **基于图像的图表复制**上传现有图表或图像让AI自动复制和增强
- **PDF和文本文件上传**上传PDF文档和文本文件提取内容并从现有文档生成图表
- **AI推理过程显示**查看支持模型的AI思考过程OpenAI o1/o3、Gemini、Claude等
- **图表历史记录**全面的版本控制跟踪所有更改允许您查看和恢复AI编辑前的图表版本
- **交互式聊天界面**与AI实时对话来完善您的图表
- **云架构图支持**专门支持生成云架构图AWS、GCP、Azure
- **动画连接器**:在图表元素之间创建动态动画连接器,实现更好的可视化效果
本应用使用以下技术:
## MCP服务器预览
- **Next.js**:用于前端框架和路由
- **Vercel AI SDK**`ai` + `@ai-sdk/*`用于流式AI响应和多提供商支持
- **react-drawio**:用于图表表示和操作
> **预览功能**:此功能为实验性功能,可能会有变化
图表以XML格式表示可在draw.io中渲染。AI处理您的命令并相应地生成或修改此XML
通过MCP模型上下文协议在Claude Desktop、Cursor和VS Code等AI代理中使用Next AI Draw.io。
## 多提供商支持
```json
{
"mcpServers": {
"drawio": {
"command": "npx",
"args": ["@next-ai-drawio/mcp-server@latest"]
}
}
}
```
- AWS Bedrock默认
- OpenAI
- Anthropic
- Google AI
- Azure OpenAI
- Ollama
- OpenRouter
- DeepSeek
### Claude Code CLI
除AWS Bedrock和OpenRouter外所有提供商都支持自定义端点。
```bash
claude mcp add drawio -- npx @next-ai-drawio/mcp-server@latest
```
📖 **[详细的提供商配置指南](./docs/ai-providers.md)** - 查看各提供商的设置说明。
然后让Claude创建图表
> "创建一个展示用户认证流程的流程图包含登录、MFA和会话管理"
**模型要求**此任务需要强大的模型能力因为它涉及生成具有严格格式约束的长文本draw.io XML。推荐使用Claude Sonnet 4.5、GPT-4o、Gemini 2.0和DeepSeek V3/R1。
图表会实时显示在浏览器中!
详情请参阅[MCP服务器README](../packages/mcp-server/README.md)了解VS Code、Cursor等客户端配置。
注意:`claude-sonnet-4-5` 已在带有AWS标志的draw.io图表上进行训练因此如果您想创建AWS架构图这是最佳选择。
## 快速开始
### 在线试用
无需安装!直接在我们的演示站点试用:
[![Live Demo](../public/live-demo-button.svg)](https://next-ai-drawio.jiang.jp/)
> 注意:由于访问量较大,演示站点目前使用 minimax-m2 模型。如需获得最佳效果,建议使用 Claude Sonnet 4.5 或 Claude Opus 4.5 自行部署。
> **使用自己的 API Key**:您可以使用自己的 API Key 来绕过演示站点的用量限制。点击聊天面板中的设置图标即可配置您的 Provider 和 API Key。您的 Key 仅保存在浏览器本地,不会被存储在服务器上。
### 使用Docker运行推荐
如果您只想在本地运行最好的方式是使用Docker。
@@ -147,20 +115,10 @@ docker run -d -p 3000:3000 \
ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
或者使用 env 文件:
```bash
cp env.example .env
# 编辑 .env 填写您的配置
docker run -d -p 3000:3000 --env-file .env ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
在浏览器中打开 [http://localhost:3000](http://localhost:3000)。
请根据您首选的AI提供商配置替换环境变量。可用选项请参阅[多提供商支持](#多提供商支持)。
> **离线部署:** 如果 `embed.diagrams.net` 被屏蔽,请参阅 [离线部署指南](./offline-deployment.md) 了解配置选项。
### 安装
1. 克隆仓库:
@@ -174,6 +132,8 @@ cd next-ai-draw-io
```bash
npm install
# 或
yarn install
```
3. 配置您的AI提供商
@@ -186,15 +146,14 @@ cp env.example .env.local
编辑 `.env.local` 并配置您选择的提供商:
- 将 `AI_PROVIDER` 设置为您选择的提供商bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow
- 将 `AI_PROVIDER` 设置为您选择的提供商bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek
- 将 `AI_MODEL` 设置为您要使用的特定模型
- 添加您的提供商所需的API密钥
- `TEMPERATURE`:可选的温度设置(例如 `0` 表示确定性输出)。对于不支持此参数的模型(如推理模型),请不要设置。
- `ACCESS_CODE_LIST` 访问密码,可选,可以使用逗号隔开多个密码。
> 警告:如果不填写 `ACCESS_CODE_LIST`,则任何人都可以直接使用你部署后的网站,可能会导致你的 token 被急速消耗完毕,建议填写此选项。
详细设置说明请参阅[提供商配置指南](./ai-providers.md)。
详细设置说明请参阅[提供商配置指南](./docs/ai-providers.md)。
4. 运行开发服务器:
@@ -215,38 +174,6 @@ npm run dev
请确保在Vercel控制台中**设置环境变量**,就像您在本地 `.env.local` 文件中所做的那样。
## 多提供商支持
- AWS Bedrock默认
- OpenAI
- Anthropic
- Google AI
- Azure OpenAI
- Ollama
- OpenRouter
- DeepSeek
- SiliconFlow
除AWS Bedrock和OpenRouter外所有提供商都支持自定义端点。
📖 **[详细的提供商配置指南](./ai-providers.md)** - 查看各提供商的设置说明。
**模型要求**此任务需要强大的模型能力因为它涉及生成具有严格格式约束的长文本draw.io XML。推荐使用Claude Sonnet 4.5、GPT-4o、Gemini 2.0和DeepSeek V3/R1。
注意:`claude-sonnet-4-5` 已在带有AWS标志的draw.io图表上进行训练因此如果您想创建AWS架构图这是最佳选择。
## 工作原理
本应用使用以下技术:
- **Next.js**:用于前端框架和路由
- **Vercel AI SDK**`ai` + `@ai-sdk/*`用于流式AI响应和多提供商支持
- **react-drawio**:用于图表表示和操作
图表以XML格式表示可在draw.io中渲染。AI处理您的命令并相应地生成或修改此XML。
## 项目结构
```
@@ -266,6 +193,14 @@ lib/ # 工具函数和辅助程序
public/ # 静态资源包括示例图片
```
## 待办事项
- [x] 允许LLM修改XML而不是每次从头生成
- [x] 提高形状流式更新的流畅度
- [x] 添加多AI提供商支持OpenAI, Anthropic, Google, Azure, Ollama
- [x] 解决超过60秒的会话生成失败的bug
- [ ] 在UI上添加API配置
## 支持与联系
如果您觉得这个项目有用,请考虑[赞助](https://github.com/sponsors/DayuanJiang)来帮助我托管在线演示站点!

View File

@@ -4,16 +4,14 @@
**AI搭載のダイアグラム作成ツール - チャット、描画、可視化**
[English](../README.md) | [中文](./README_CN.md) | 日本語
[English](./README.md) | [中文](./README_CN.md) | 日本語
[![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/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Next.js](https://img.shields.io/badge/Next.js-15.x-black)](https://nextjs.org/)
[![TypeScript](https://img.shields.io/badge/TypeScript-5.x-blue)](https://www.typescriptlang.org/)
[![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/)
[🚀 ライブデモ](https://next-ai-drawio.jiang.jp/)
</div>
@@ -21,24 +19,16 @@ AI機能とdraw.ioダイアグラムを統合したNext.jsウェブアプリケ
https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
## 目次
- [Next AI Draw.io](#next-ai-drawio)
- [目次](#目次)
- [](#例)
- [機能](#機能)
- [MCPサーバープレビュー](#mcpサーバープレビュー)
- [はじめに](#はじめに)
- [オンラインで試す](#オンラインで試す)
- [Dockerで実行推奨](#dockerで実行推奨)
- [インストール](#インストール)
- [デプロイ](#デプロイ)
- [マルチプロバイダーサポート](#マルチプロバイダーサポート)
- [仕組み](#仕組み)
- [プロジェクト構造](#プロジェクト構造)
- [サポート&お問い合わせ](#サポートお問い合わせ)
- [スター履歴](#スター履歴)
## 機能
## 例
- **LLM搭載のダイアグラム作成**大規模言語モデルを活用して、自然言語コマンドで直接draw.ioダイアグラムを作成・操作
- **画像ベースのダイアグラム複製**既存のダイアグラムや画像をアップロードし、AIが自動的に複製・強化
- **ダイアグラム履歴**すべての変更を追跡する包括的なバージョン管理。AI編集前のダイアグラムの以前のバージョンを表示・復元可能
- **インタラクティブなチャットインターフェース**AIとリアルタイムでコミュニケーションしてダイアグラムを改善
- **AWSアーキテクチャダイアグラムサポート**AWSアーキテクチャダイアグラムの生成を専門的にサポート
- **アニメーションコネクタ**:より良い可視化のためにダイアグラム要素間に動的でアニメーション化されたコネクタを作成
## **例**
以下はいくつかのプロンプト例と生成されたダイアグラムです:
@@ -48,89 +38,67 @@ https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
<td colspan="2" valign="top" align="center">
<strong>アニメーションTransformerコネクタ</strong><br />
<p><strong>プロンプト:</strong> **アニメーションコネクタ**付きのTransformerアーキテクチャ図を作成してください。</p>
<img src="../public/animated_connectors.svg" alt="アニメーションコネクタ付きTransformerアーキテクチャ" width="480" />
<img src="./public/animated_connectors.svg" alt="アニメーションコネクタ付きTransformerアーキテクチャ" width="480" />
</td>
</tr>
<tr>
<td width="50%" valign="top">
<strong>GCPアーキテクチャ図</strong><br />
<p><strong>プロンプト:</strong> **GCPアイコン**を使用してGCPアーキテクチャ図を生成してください。この図では、ユーザーがインスタンス上でホストされているフロントエンドに接続します。</p>
<img src="../public/gcp_demo.svg" alt="GCPアーキテクチャ図" width="480" />
<img src="./public/gcp_demo.svg" alt="GCPアーキテクチャ図" width="480" />
</td>
<td width="50%" valign="top">
<strong>AWSアーキテクチャ図</strong><br />
<p><strong>プロンプト:</strong> **AWSアイコン**を使用してAWSアーキテクチャ図を生成してください。この図では、ユーザーがインスタンス上でホストされているフロントエンドに接続します。</p>
<img src="../public/aws_demo.svg" alt="AWSアーキテクチャ図" width="480" />
<img src="./public/aws_demo.svg" alt="AWSアーキテクチャ図" width="480" />
</td>
</tr>
<tr>
<td width="50%" valign="top">
<strong>Azureアーキテクチャ図</strong><br />
<p><strong>プロンプト:</strong> **Azureアイコン**を使用してAzureアーキテクチャ図を生成してください。この図では、ユーザーがインスタンス上でホストされているフロントエンドに接続します。</p>
<img src="../public/azure_demo.svg" alt="Azureアーキテクチャ図" width="480" />
<img src="./public/azure_demo.svg" alt="Azureアーキテクチャ図" width="480" />
</td>
<td width="50%" valign="top">
<strong>猫のスケッチ</strong><br />
<p><strong>プロンプト:</strong> かわいい猫を描いてください。</p>
<img src="../public/cat_demo.svg" alt="猫の絵" width="240" />
<img src="./public/cat_demo.svg" alt="猫の絵" width="240" />
</td>
</tr>
</table>
</div>
## 機能
## 仕組み
- **LLM搭載のダイアグラム作成**大規模言語モデルを活用して、自然言語コマンドで直接draw.ioダイアグラムを作成・操作
- **画像ベースのダイアグラム複製**既存のダイアグラムや画像をアップロードし、AIが自動的に複製・強化
- **PDFとテキストファイルのアップロード**PDFドキュメントやテキストファイルをアップロードして、既存のドキュメントからコンテンツを抽出し、ダイアグラムを生成
- **AI推論プロセス表示**サポートされているモデルOpenAI o1/o3、Gemini、ClaudeなどのAIの思考プロセスを表示
- **ダイアグラム履歴**すべての変更を追跡する包括的なバージョン管理。AI編集前のダイアグラムの以前のバージョンを表示・復元可能
- **インタラクティブなチャットインターフェース**AIとリアルタイムでコミュニケーションしてダイアグラムを改善
- **クラウドアーキテクチャダイアグラムサポート**クラウドアーキテクチャダイアグラムの生成を専門的にサポートAWS、GCP、Azure
- **アニメーションコネクタ**:より良い可視化のためにダイアグラム要素間に動的でアニメーション化されたコネクタを作成
本アプリケーションは以下の技術を使用しています:
## MCPサーバープレビュー
- **Next.js**:フロントエンドフレームワークとルーティング
- **Vercel AI SDK**`ai` + `@ai-sdk/*`ストリーミングAIレスポンスとマルチプロバイダーサポート
- **react-drawio**:ダイアグラムの表現と操作
> **プレビュー機能**:この機能は実験的であり、変更される可能性があります。
ダイアグラムはdraw.ioでレンダリングできるXMLとして表現されます。AIがコマンドを処理し、それに応じてこのXMLを生成または変更します。
MCPModel Context Protocolを介して、Claude Desktop、Cursor、VS CodeなどのAIエージェントでNext AI Draw.ioを使用できます。
## マルチプロバイダーサポート
```json
{
"mcpServers": {
"drawio": {
"command": "npx",
"args": ["@next-ai-drawio/mcp-server@latest"]
}
}
}
```
- AWS Bedrockデフォルト
- OpenAI
- Anthropic
- Google AI
- Azure OpenAI
- Ollama
- OpenRouter
- DeepSeek
### Claude Code CLI
AWS BedrockとOpenRouter以外のすべてのプロバイダーはカスタムエンドポイントをサポートしています。
```bash
claude mcp add drawio -- npx @next-ai-drawio/mcp-server@latest
```
📖 **[詳細なプロバイダー設定ガイド](./docs/ai-providers.md)** - 各プロバイダーの設定手順をご覧ください。
Claudeにダイアグラムの作成を依頼
> 「ログイン、MFA、セッション管理を含むユーザー認証のフローチャートを作成してください」
**モデル要件**このタスクは厳密なフォーマット制約draw.io XMLを持つ長文テキスト生成を伴うため、強力なモデル機能が必要です。Claude Sonnet 4.5、GPT-4o、Gemini 2.0、DeepSeek V3/R1を推奨します。
ダイアグラムがリアルタイムでブラウザに表示されます!
詳細は[MCPサーバーREADME](../packages/mcp-server/README.md)をご覧くださいVS Code、Cursorなどのクライアント設定も含む
注:`claude-sonnet-4-5`はAWSロゴ付きのdraw.ioダイアグラムで学習されているため、AWSアーキテクチャダイアグラムを作成したい場合は最適な選択です。
## はじめに
### オンラインで試す
インストール不要!デモサイトで直接お試しください:
[![Live Demo](../public/live-demo-button.svg)](https://next-ai-drawio.jiang.jp/)
> 注意:アクセス数が多いため、デモサイトでは現在 minimax-m2 モデルを使用しています。最高の結果を得るには、Claude Sonnet 4.5 または Claude Opus 4.5 でのセルフホスティングをお勧めします。
> **自分のAPIキーを使用**自分のAPIキーを使用することで、デモサイトの利用制限を回避できます。チャットパネルの設定アイコンをクリックして、プロバイダーとAPIキーを設定してください。キーはブラウザのローカルに保存され、サーバーには保存されません。
### Dockerで実行推奨
ローカルで実行したいだけなら、Dockerを使用するのが最も簡単です。
@@ -147,20 +115,10 @@ docker run -d -p 3000:3000 \
ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
または env ファイルを使用:
```bash
cp env.example .env
# .env を編集して設定を入力
docker run -d -p 3000:3000 --env-file .env ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
ブラウザで [http://localhost:3000](http://localhost:3000) を開いてください。
環境変数はお好みのAIプロバイダー設定に置き換えてください。利用可能なオプションについては[マルチプロバイダーサポート](#マルチプロバイダーサポート)を参照してください。
> **オフラインデプロイ:** `embed.diagrams.net` がブロックされている場合は、[オフラインデプロイガイド](./offline-deployment.md) で設定オプションをご確認ください。
### インストール
1. リポジトリをクローン:
@@ -174,6 +132,8 @@ cd next-ai-draw-io
```bash
npm install
# または
yarn install
```
3. AIプロバイダーを設定
@@ -186,15 +146,14 @@ cp env.example .env.local
`.env.local`を編集して選択したプロバイダーを設定:
- `AI_PROVIDER`を選択したプロバイダーに設定bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow
- `AI_PROVIDER`を選択したプロバイダーに設定bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek
- `AI_MODEL`を使用する特定のモデルに設定
- プロバイダーに必要なAPIキーを追加
- `TEMPERATURE`:オプションの温度設定(例:`0`で決定論的な出力)。温度をサポートしないモデル(推論モデルなど)では設定しないでください。
- `ACCESS_CODE_LIST` アクセスパスワード(オプション)。カンマ区切りで複数のパスワードを指定できます。
> 警告:`ACCESS_CODE_LIST`を設定しない場合、誰でもデプロイされたサイトに直接アクセスできるため、トークンが急速に消費される可能性があります。このオプションを設定することをお勧めします。
詳細な設定手順については[プロバイダー設定ガイド](./ai-providers.md)を参照してください。
詳細な設定手順については[プロバイダー設定ガイド](./docs/ai-providers.md)を参照してください。
4. 開発サーバーを起動:
@@ -215,38 +174,6 @@ Next.jsアプリをデプロイする最も簡単な方法は、Next.jsの作成
ローカルの`.env.local`ファイルと同様に、Vercelダッシュボードで**環境変数を設定**してください。
## マルチプロバイダーサポート
- AWS Bedrockデフォルト
- OpenAI
- Anthropic
- Google AI
- Azure OpenAI
- Ollama
- OpenRouter
- DeepSeek
- SiliconFlow
AWS BedrockとOpenRouter以外のすべてのプロバイダーはカスタムエンドポイントをサポートしています。
📖 **[詳細なプロバイダー設定ガイド](./ai-providers.md)** - 各プロバイダーの設定手順をご覧ください。
**モデル要件**このタスクは厳密なフォーマット制約draw.io XMLを持つ長文テキスト生成を伴うため、強力なモデル機能が必要です。Claude Sonnet 4.5、GPT-4o、Gemini 2.0、DeepSeek V3/R1を推奨します。
注:`claude-sonnet-4-5`はAWSロゴ付きのdraw.ioダイアグラムで学習されているため、AWSアーキテクチャダイアグラムを作成したい場合は最適な選択です。
## 仕組み
本アプリケーションは以下の技術を使用しています:
- **Next.js**:フロントエンドフレームワークとルーティング
- **Vercel AI SDK**`ai` + `@ai-sdk/*`ストリーミングAIレスポンスとマルチプロバイダーサポート
- **react-drawio**:ダイアグラムの表現と操作
ダイアグラムはdraw.ioでレンダリングできるXMLとして表現されます。AIがコマンドを処理し、それに応じてこのXMLを生成または変更します。
## プロジェクト構造
```
@@ -266,6 +193,14 @@ lib/ # ユーティリティ関数とヘルパー
public/ # サンプル画像を含む静的アセット
```
## TODO
- [x] LLMが毎回ゼロから生成する代わりにXMLを修正できるようにする
- [x] シェイプストリーミング更新の滑らかさを改善
- [x] 複数のAIプロバイダーサポートを追加OpenAI, Anthropic, Google, Azure, Ollama
- [x] 60秒以上のセッションで生成が失敗するバグを解決
- [ ] UIにAPI設定を追加
## サポート&お問い合わせ
このプロジェクトが役に立ったら、ライブデモサイトのホスティングを支援するために[スポンサー](https://github.com/sponsors/DayuanJiang)をご検討ください!

22
amplify.yml Normal file
View File

@@ -0,0 +1,22 @@
version: 1
frontend:
phases:
preBuild:
commands:
- npm ci --cache .npm --prefer-offline
build:
commands:
# Write env vars to .env.production for Next.js SSR runtime
- env | grep -e AI_MODEL >> .env.production
- env | grep -e AI_PROVIDER >> .env.production
- env | grep -e OPENAI_API_KEY >> .env.production
- env | grep -e NEXT_PUBLIC_ >> .env.production
- npm run build
artifacts:
baseDirectory: .next
files:
- '**/*'
cache:
paths:
- .next/cache/**/*
- .npm/**/*

View File

@@ -1,457 +0,0 @@
import type { Metadata } from "next"
import Image from "next/image"
import Link from "next/link"
import { FaGithub } from "react-icons/fa"
export const metadata: Metadata = {
title: "关于 - Next AI Draw.io",
description:
"AI驱动的图表创建工具 - 对话、绘制、可视化。使用自然语言创建AWS、GCP和Azure架构图。",
keywords: ["AI图表", "draw.io", "AWS架构", "GCP图表", "Azure图表", "LLM"],
}
function formatNumber(num: number): string {
if (num >= 1000) {
return `${num / 1000}k`
}
return num.toString()
}
export default function AboutCN() {
const dailyRequestLimit = Number(process.env.DAILY_REQUEST_LIMIT) || 20
const dailyTokenLimit = Number(process.env.DAILY_TOKEN_LIMIT) || 500000
const tpmLimit = Number(process.env.TPM_LIMIT) || 50000
return (
<div className="min-h-screen bg-gray-50">
{/* Navigation */}
<header className="bg-white border-b border-gray-200">
<div className="max-w-4xl mx-auto px-4 sm:px-6 lg:px-8 py-4">
<div className="flex items-center justify-between">
<Link
href="/"
className="text-xl font-bold text-gray-900 hover:text-gray-700"
>
Next AI Draw.io
</Link>
<nav className="flex items-center gap-6 text-sm">
<Link
href="/"
className="text-gray-600 hover:text-gray-900 transition-colors"
>
</Link>
<Link
href="/about/cn"
className="text-blue-600 font-semibold"
>
</Link>
<a
href="https://github.com/DayuanJiang/next-ai-draw-io"
target="_blank"
rel="noopener noreferrer"
className="text-gray-600 hover:text-gray-900 transition-colors"
aria-label="在GitHub上查看"
>
<FaGithub className="w-5 h-5" />
</a>
</nav>
</div>
</div>
</header>
{/* Main Content */}
<main className="max-w-4xl mx-auto px-4 sm:px-6 lg:px-8 py-12">
<article className="prose prose-lg max-w-none">
{/* Title */}
<div className="text-center mb-8">
<h1 className="text-4xl font-bold text-gray-900 mb-2">
Next AI Draw.io
</h1>
<p className="text-xl text-gray-600 font-medium">
AI驱动的图表创建工具 -
</p>
<div className="flex justify-center gap-4 mt-4 text-sm">
<Link
href="/about"
className="text-gray-600 hover:text-blue-600"
>
English
</Link>
<span className="text-gray-400">|</span>
<Link
href="/about/cn"
className="text-blue-600 font-semibold"
>
</Link>
<span className="text-gray-400">|</span>
<Link
href="/about/ja"
className="text-gray-600 hover:text-blue-600"
>
</Link>
</div>
</div>
<div className="relative mb-8 rounded-2xl bg-gradient-to-br from-amber-50 via-orange-50 to-rose-50 p-[1px] shadow-lg">
<div className="absolute inset-0 rounded-2xl bg-gradient-to-br from-amber-400 via-orange-400 to-rose-400 opacity-20" />
<div className="relative rounded-2xl bg-white/80 backdrop-blur-sm p-6">
{/* Header */}
<div className="mb-4">
<h3 className="text-lg font-bold text-gray-900 tracking-tight">
{" "}
<span className="text-sm text-amber-600 font-medium italic font-normal">
()
</span>
</h3>
</div>
{/* Story */}
<div className="space-y-3 text-sm text-gray-700 leading-relaxed mb-5">
<p>
AI
(TPS/TPM)
</p>
<p>
使 Claude {" "}
<span className="font-semibold text-amber-700">
minimax-m2
</span>
</p>
<p>
<span className="font-semibold text-amber-700">
</span>
API
</p>
</div>
{/* Limits Cards */}
<div className="grid grid-cols-2 gap-3 mb-5">
<div className="rounded-xl bg-gradient-to-br from-amber-100 to-orange-100 p-4 text-center">
<div className="text-xs font-medium text-amber-700 uppercase tracking-wide mb-1">
Token
</div>
<div className="text-lg font-bold text-gray-900">
{formatNumber(tpmLimit)}
<span className="text-sm font-normal text-gray-600">
/
</span>
</div>
<div className="text-lg font-bold text-gray-900">
{formatNumber(dailyTokenLimit)}
<span className="text-sm font-normal text-gray-600">
/
</span>
</div>
</div>
<div className="rounded-xl bg-gradient-to-br from-amber-100 to-orange-100 p-4 text-center">
<div className="text-xs font-medium text-amber-700 uppercase tracking-wide mb-1">
</div>
<div className="text-2xl font-bold text-gray-900">
{dailyRequestLimit}
</div>
<div className="text-sm text-gray-600">
</div>
</div>
</div>
{/* Divider */}
<div className="flex items-center gap-3 my-5">
<div className="flex-1 h-px bg-gradient-to-r from-transparent via-amber-300 to-transparent" />
</div>
{/* Bring Your Own Key */}
<div className="text-center mb-5">
<h4 className="text-base font-bold text-gray-900 mb-2">
使 API Key
</h4>
<p className="text-sm text-gray-600 mb-2 max-w-md mx-auto">
使 API Key
Provider API Key
</p>
<p className="text-xs text-gray-500 max-w-md mx-auto">
Key
</p>
</div>
{/* Divider */}
<div className="flex items-center gap-3 mb-5">
<div className="flex-1 h-px bg-gradient-to-r from-transparent via-amber-300 to-transparent" />
</div>
{/* Sponsorship CTA */}
<div className="text-center">
<h4 className="text-base font-bold text-gray-900 mb-2">
()
</h4>
<p className="text-sm text-gray-600 mb-4 max-w-md mx-auto">
AI API
</p>
<p className="text-sm text-gray-600 mb-4 max-w-md mx-auto">
GitHub Live Demo
Logo
</p>
<a
href="mailto:me@jiang.jp"
className="inline-flex items-center gap-2 px-5 py-2.5 rounded-full bg-gradient-to-r from-amber-500 to-orange-500 text-white font-medium text-sm shadow-md hover:shadow-lg hover:scale-105 transition-all duration-200"
>
</a>
</div>
</div>
</div>
<p className="text-gray-700">
AI功能的Next.js网页应用draw.io图表无缝结合AI辅助可视化来创建
</p>
{/* Features */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4">
</h2>
<ul className="list-disc pl-6 text-gray-700 space-y-2">
<li>
<strong>LLM驱动的图表创建</strong>
draw.io图表
</li>
<li>
<strong></strong>
AI自动复制和增强
</li>
<li>
<strong></strong>
AI编辑前的图表版本
</li>
<li>
<strong></strong>
AI实时对话来完善您的图表
</li>
<li>
<strong>AWS架构图支持</strong>
AWS架构图
</li>
<li>
<strong></strong>
</li>
</ul>
{/* Examples */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4">
</h2>
<p className="text-gray-700 mb-6">
</p>
<div className="space-y-8">
{/* Animated Transformer */}
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
Transformer连接器
</h3>
<p className="text-gray-600 mb-4">
<strong></strong>
<strong></strong>Transformer架构图
</p>
<Image
src="/animated_connectors.svg"
alt="带动画连接器的Transformer架构"
width={480}
height={360}
className="mx-auto"
/>
</div>
{/* Cloud Architecture Grid */}
<div className="grid md:grid-cols-2 gap-6">
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
GCP架构图
</h3>
<p className="text-gray-600 text-sm mb-4">
<strong></strong> 使
<strong>GCP图标</strong>
GCP架构图
</p>
<Image
src="/gcp_demo.svg"
alt="GCP架构图"
width={400}
height={300}
className="mx-auto"
/>
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
AWS架构图
</h3>
<p className="text-gray-600 text-sm mb-4">
<strong></strong> 使
<strong>AWS图标</strong>
AWS架构图
</p>
<Image
src="/aws_demo.svg"
alt="AWS架构图"
width={400}
height={300}
className="mx-auto"
/>
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
Azure架构图
</h3>
<p className="text-gray-600 text-sm mb-4">
<strong></strong> 使
<strong>Azure图标</strong>
Azure架构图
</p>
<Image
src="/azure_demo.svg"
alt="Azure架构图"
width={400}
height={300}
className="mx-auto"
/>
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
</h3>
<p className="text-gray-600 text-sm mb-4">
<strong></strong>{" "}
</p>
<Image
src="/cat_demo.svg"
alt="猫咪绘图"
width={240}
height={240}
className="mx-auto"
/>
</div>
</div>
</div>
{/* How It Works */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4">
</h2>
<p className="text-gray-700 mb-4">使</p>
<ul className="list-disc pl-6 text-gray-700 space-y-2">
<li>
<strong>Next.js</strong>
</li>
<li>
<strong>Vercel AI SDK</strong><code>ai</code> +{" "}
<code>@ai-sdk/*</code>
用于流式AI响应和多提供商支持
</li>
<li>
<strong>react-drawio</strong>:用于图表表示和操作
</li>
</ul>
<p className="text-gray-700 mt-4">
图表以XML格式表示可在draw.io中渲染。AI处理您的命令并相应地生成或修改此XML。
</p>
{/* Multi-Provider Support */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4">
</h2>
<ul className="list-disc pl-6 text-gray-700 space-y-1">
<li>AWS Bedrock</li>
<li>
OpenAI / OpenAI兼容API{" "}
<code>OPENAI_BASE_URL</code>
</li>
<li>Anthropic</li>
<li>Google AI</li>
<li>Azure OpenAI</li>
<li>Ollama</li>
<li>OpenRouter</li>
<li>DeepSeek</li>
</ul>
<p className="text-gray-700 mt-4">
<code>claude-sonnet-4-5</code>{" "}
AWS标志的draw.io图表上进行训练AWS架构图
</p>
{/* Support */}
<div className="flex items-center gap-4 mt-10 mb-4">
<h2 className="text-2xl font-semibold text-gray-900">
</h2>
<iframe
src="https://github.com/sponsors/DayuanJiang/button"
title="Sponsor DayuanJiang"
height="32"
width="114"
style={{ border: 0, borderRadius: 6 }}
/>
</div>
<p className="text-gray-700">
{" "}
<a
href="https://github.com/sponsors/DayuanJiang"
target="_blank"
rel="noopener noreferrer"
className="text-blue-600 hover:underline"
>
</a>{" "}
线
</p>
<p className="text-gray-700 mt-2">
{" "}
<a
href="https://github.com/DayuanJiang/next-ai-draw-io"
target="_blank"
rel="noopener noreferrer"
className="text-blue-600 hover:underline"
>
GitHub仓库
</a>{" "}
issue或联系me[at]jiang.jp
</p>
{/* CTA */}
<div className="mt-12 text-center">
<Link
href="/"
className="inline-block bg-blue-600 text-white px-8 py-3 rounded-lg font-semibold hover:bg-blue-700 transition-colors"
>
</Link>
</div>
</article>
</main>
{/* Footer */}
<footer className="bg-white border-t border-gray-200 mt-16">
<div className="max-w-4xl mx-auto px-4 sm:px-6 lg:px-8 py-6">
<p className="text-center text-gray-600 text-sm">
Next AI Draw.io - AI驱动的图表生成器
</p>
</div>
</footer>
</div>
)
}

View File

@@ -1,472 +0,0 @@
import type { Metadata } from "next"
import Image from "next/image"
import Link from "next/link"
import { FaGithub } from "react-icons/fa"
export const metadata: Metadata = {
title: "概要 - Next AI Draw.io",
description:
"AI搭載のダイアグラム作成ツール - チャット、描画、可視化。自然言語でAWS、GCP、Azureアーキテクチャ図を作成。",
keywords: [
"AIダイアグラム",
"draw.io",
"AWSアーキテクチャ",
"GCPダイアグラム",
"Azureダイアグラム",
"LLM",
],
}
function formatNumber(num: number): string {
if (num >= 1000) {
return `${num / 1000}k`
}
return num.toString()
}
export default function AboutJA() {
const dailyRequestLimit = Number(process.env.DAILY_REQUEST_LIMIT) || 20
const dailyTokenLimit = Number(process.env.DAILY_TOKEN_LIMIT) || 500000
const tpmLimit = Number(process.env.TPM_LIMIT) || 50000
return (
<div className="min-h-screen bg-gray-50">
{/* Navigation */}
<header className="bg-white border-b border-gray-200">
<div className="max-w-4xl mx-auto px-4 sm:px-6 lg:px-8 py-4">
<div className="flex items-center justify-between">
<Link
href="/"
className="text-xl font-bold text-gray-900 hover:text-gray-700"
>
Next AI Draw.io
</Link>
<nav className="flex items-center gap-6 text-sm">
<Link
href="/"
className="text-gray-600 hover:text-gray-900 transition-colors"
>
</Link>
<Link
href="/about/ja"
className="text-blue-600 font-semibold"
>
</Link>
<a
href="https://github.com/DayuanJiang/next-ai-draw-io"
target="_blank"
rel="noopener noreferrer"
className="text-gray-600 hover:text-gray-900 transition-colors"
aria-label="GitHubで見る"
>
<FaGithub className="w-5 h-5" />
</a>
</nav>
</div>
</div>
</header>
{/* Main Content */}
<main className="max-w-4xl mx-auto px-4 sm:px-6 lg:px-8 py-12">
<article className="prose prose-lg max-w-none">
{/* Title */}
<div className="text-center mb-8">
<h1 className="text-4xl font-bold text-gray-900 mb-2">
Next AI Draw.io
</h1>
<p className="text-xl text-gray-600 font-medium">
AI搭載のダイアグラム作成ツール -
</p>
<div className="flex justify-center gap-4 mt-4 text-sm">
<Link
href="/about"
className="text-gray-600 hover:text-blue-600"
>
English
</Link>
<span className="text-gray-400">|</span>
<Link
href="/about/cn"
className="text-gray-600 hover:text-blue-600"
>
</Link>
<span className="text-gray-400">|</span>
<Link
href="/about/ja"
className="text-blue-600 font-semibold"
>
</Link>
</div>
</div>
<div className="relative mb-8 rounded-2xl bg-gradient-to-br from-amber-50 via-orange-50 to-rose-50 p-[1px] shadow-lg">
<div className="absolute inset-0 rounded-2xl bg-gradient-to-br from-amber-400 via-orange-400 to-rose-400 opacity-20" />
<div className="relative rounded-2xl bg-white/80 backdrop-blur-sm p-6">
{/* Header */}
<div className="mb-4">
<h3 className="text-lg font-bold text-gray-900 tracking-tight">
{" "}
<span className="text-sm text-amber-600 font-medium italic font-normal">
</span>
</h3>
</div>
{/* Story */}
<div className="space-y-3 text-sm text-gray-700 leading-relaxed mb-5">
<p>
AI API (TPS/TPM)
</p>
<p>
Claude {" "}
<span className="font-semibold text-amber-700">
minimax-m2
</span>{" "}
</p>
<p>
<span className="font-semibold text-amber-700">
</span>
API
</p>
</div>
{/* Limits Cards */}
<div className="grid grid-cols-2 gap-3 mb-5">
<div className="rounded-xl bg-gradient-to-br from-amber-100 to-orange-100 p-4 text-center">
<div className="text-xs font-medium text-amber-700 uppercase tracking-wide mb-1">
使
</div>
<div className="text-lg font-bold text-gray-900">
{formatNumber(tpmLimit)}
<span className="text-sm font-normal text-gray-600">
/
</span>
</div>
<div className="text-lg font-bold text-gray-900">
{formatNumber(dailyTokenLimit)}
<span className="text-sm font-normal text-gray-600">
/
</span>
</div>
</div>
<div className="rounded-xl bg-gradient-to-br from-amber-100 to-orange-100 p-4 text-center">
<div className="text-xs font-medium text-amber-700 uppercase tracking-wide mb-1">
1
</div>
<div className="text-2xl font-bold text-gray-900">
{dailyRequestLimit}
</div>
<div className="text-sm text-gray-600">
</div>
</div>
</div>
{/* Divider */}
<div className="flex items-center gap-3 my-5">
<div className="flex-1 h-px bg-gradient-to-r from-transparent via-amber-300 to-transparent" />
</div>
{/* Bring Your Own Key */}
<div className="text-center mb-5">
<h4 className="text-base font-bold text-gray-900 mb-2">
APIキーを使用
</h4>
<p className="text-sm text-gray-600 mb-2 max-w-md mx-auto">
APIキーを使用することでAPIキーを設定してください
</p>
<p className="text-xs text-gray-500 max-w-md mx-auto">
</p>
</div>
{/* Divider */}
<div className="flex items-center gap-3 mb-5">
<div className="flex-1 h-px bg-gradient-to-r from-transparent via-amber-300 to-transparent" />
</div>
{/* Sponsorship CTA */}
<div className="text-center">
<h4 className="text-base font-bold text-gray-900 mb-2">
</h4>
<p className="text-sm text-gray-600 mb-4 max-w-md mx-auto">
AI
API
</p>
<p className="text-sm text-gray-600 mb-4 max-w-md mx-auto">
GitHub
</p>
<a
href="mailto:me@jiang.jp"
className="inline-flex items-center gap-2 px-5 py-2.5 rounded-full bg-gradient-to-r from-amber-500 to-orange-500 text-white font-medium text-sm shadow-md hover:shadow-lg hover:scale-105 transition-all duration-200"
>
</a>
</div>
</div>
</div>
<p className="text-gray-700">
AI機能とdraw.ioダイアグラムを統合したNext.jsウェブアプリケーションですAI支援の可視化により
</p>
{/* Features */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4">
</h2>
<ul className="list-disc pl-6 text-gray-700 space-y-2">
<li>
<strong>LLM搭載のダイアグラム作成</strong>
draw.ioダイアグラムを作成
</li>
<li>
<strong></strong>
AIが自動的に複製
</li>
<li>
<strong></strong>
AI編集前のダイアグラムの以前のバージョンを表示
</li>
<li>
<strong>
</strong>
AIとリアルタイムでコミュニケーションしてダイアグラムを改善
</li>
<li>
<strong>
AWSアーキテクチャダイアグラムサポート
</strong>
AWSアーキテクチャダイアグラムの生成を専門的にサポート
</li>
<li>
<strong></strong>
</li>
</ul>
{/* Examples */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4">
</h2>
<p className="text-gray-700 mb-6">
</p>
<div className="space-y-8">
{/* Animated Transformer */}
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
Transformerコネクタ
</h3>
<p className="text-gray-600 mb-4">
<strong></strong>{" "}
<strong></strong>
Transformerアーキテクチャ図を作成してください
</p>
<Image
src="/animated_connectors.svg"
alt="アニメーションコネクタ付きTransformerアーキテクチャ"
width={480}
height={360}
className="mx-auto"
/>
</div>
{/* Cloud Architecture Grid */}
<div className="grid md:grid-cols-2 gap-6">
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
GCPアーキテクチャ図
</h3>
<p className="text-gray-600 text-sm mb-4">
<strong></strong>{" "}
<strong>GCPアイコン</strong>
使GCPアーキテクチャ図を生成してください
</p>
<Image
src="/gcp_demo.svg"
alt="GCPアーキテクチャ図"
width={400}
height={300}
className="mx-auto"
/>
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
AWSアーキテクチャ図
</h3>
<p className="text-gray-600 text-sm mb-4">
<strong></strong>{" "}
<strong>AWSアイコン</strong>
使AWSアーキテクチャ図を生成してください
</p>
<Image
src="/aws_demo.svg"
alt="AWSアーキテクチャ図"
width={400}
height={300}
className="mx-auto"
/>
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
Azureアーキテクチャ図
</h3>
<p className="text-gray-600 text-sm mb-4">
<strong></strong>{" "}
<strong>Azureアイコン</strong>
使Azureアーキテクチャ図を生成してください
</p>
<Image
src="/azure_demo.svg"
alt="Azureアーキテクチャ図"
width={400}
height={300}
className="mx-auto"
/>
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
</h3>
<p className="text-gray-600 text-sm mb-4">
<strong></strong>{" "}
</p>
<Image
src="/cat_demo.svg"
alt="猫の絵"
width={240}
height={240}
className="mx-auto"
/>
</div>
</div>
</div>
{/* How It Works */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4">
</h2>
<p className="text-gray-700 mb-4">
使
</p>
<ul className="list-disc pl-6 text-gray-700 space-y-2">
<li>
<strong>Next.js</strong>
</li>
<li>
<strong>Vercel AI SDK</strong><code>ai</code> +{" "}
<code>@ai-sdk/*</code>
ストリーミングAIレスポンスとマルチプロバイダーサポート
</li>
<li>
<strong>react-drawio</strong>
:ダイアグラムの表現と操作
</li>
</ul>
<p className="text-gray-700 mt-4">
ダイアグラムはdraw.ioでレンダリングできるXMLとして表現されます。AIがコマンドを処理し、それに応じてこのXMLを生成または変更します。
</p>
{/* Multi-Provider Support */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4">
</h2>
<ul className="list-disc pl-6 text-gray-700 space-y-1">
<li>AWS Bedrock</li>
<li>
OpenAI / OpenAI互換API<code>OPENAI_BASE_URL</code>
</li>
<li>Anthropic</li>
<li>Google AI</li>
<li>Azure OpenAI</li>
<li>Ollama</li>
<li>OpenRouter</li>
<li>DeepSeek</li>
</ul>
<p className="text-gray-700 mt-4">
<code>claude-sonnet-4-5</code>
AWSロゴ付きのdraw.ioダイアグラムで学習されているためAWSアーキテクチャダイアグラムを作成したい場合は最適な選択です
</p>
{/* Support */}
<div className="flex items-center gap-4 mt-10 mb-4">
<h2 className="text-2xl font-semibold text-gray-900">
</h2>
<iframe
src="https://github.com/sponsors/DayuanJiang/button"
title="Sponsor DayuanJiang"
height="32"
width="114"
style={{ border: 0, borderRadius: 6 }}
/>
</div>
<p className="text-gray-700">
{" "}
<a
href="https://github.com/sponsors/DayuanJiang"
target="_blank"
rel="noopener noreferrer"
className="text-blue-600 hover:underline"
>
</a>{" "}
</p>
<p className="text-gray-700 mt-2">
{" "}
<a
href="https://github.com/DayuanJiang/next-ai-draw-io"
target="_blank"
rel="noopener noreferrer"
className="text-blue-600 hover:underline"
>
GitHubリポジトリ
</a>{" "}
issueを開くかme[at]jiang.jp
</p>
{/* CTA */}
<div className="mt-12 text-center">
<Link
href="/"
className="inline-block bg-blue-600 text-white px-8 py-3 rounded-lg font-semibold hover:bg-blue-700 transition-colors"
>
</Link>
</div>
</article>
</main>
{/* Footer */}
<footer className="bg-white border-t border-gray-200 mt-16">
<div className="max-w-4xl mx-auto px-4 sm:px-6 lg:px-8 py-6">
<p className="text-center text-gray-600 text-sm">
Next AI Draw.io -
AI搭載ダイアグラムジェネレーター
</p>
</div>
</footer>
</div>
)
}

View File

@@ -1,500 +0,0 @@
import type { Metadata } from "next"
import Image from "next/image"
import Link from "next/link"
import { FaGithub } from "react-icons/fa"
export const metadata: Metadata = {
title: "About - Next AI Draw.io",
description:
"AI-Powered Diagram Creation Tool - Chat, Draw, Visualize. Create AWS, GCP, and Azure architecture diagrams with natural language.",
keywords: [
"AI diagram",
"draw.io",
"AWS architecture",
"GCP diagram",
"Azure diagram",
"LLM",
],
}
function formatNumber(num: number): string {
if (num >= 1000) {
return `${num / 1000}k`
}
return num.toString()
}
export default function About() {
const dailyRequestLimit = Number(process.env.DAILY_REQUEST_LIMIT) || 20
const dailyTokenLimit = Number(process.env.DAILY_TOKEN_LIMIT) || 500000
const tpmLimit = Number(process.env.TPM_LIMIT) || 50000
return (
<div className="min-h-screen bg-gray-50">
{/* Navigation */}
<header className="bg-white border-b border-gray-200">
<div className="max-w-4xl mx-auto px-4 sm:px-6 lg:px-8 py-4">
<div className="flex items-center justify-between">
<Link
href="/"
className="text-xl font-bold text-gray-900 hover:text-gray-700"
>
Next AI Draw.io
</Link>
<nav className="flex items-center gap-6 text-sm">
<Link
href="/"
className="text-gray-600 hover:text-gray-900 transition-colors"
>
Editor
</Link>
<Link
href="/about"
className="text-blue-600 font-semibold"
>
About
</Link>
<a
href="https://github.com/DayuanJiang/next-ai-draw-io"
target="_blank"
rel="noopener noreferrer"
className="text-gray-600 hover:text-gray-900 transition-colors"
aria-label="View on GitHub"
>
<FaGithub className="w-5 h-5" />
</a>
</nav>
</div>
</div>
</header>
{/* Main Content */}
<main className="max-w-4xl mx-auto px-4 sm:px-6 lg:px-8 py-12">
<article className="prose prose-lg max-w-none">
{/* Title */}
<div className="text-center mb-8">
<h1 className="text-4xl font-bold text-gray-900 mb-2">
Next AI Draw.io
</h1>
<p className="text-xl text-gray-600 font-medium">
AI-Powered Diagram Creation Tool - Chat, Draw,
Visualize
</p>
<div className="flex justify-center gap-4 mt-4 text-sm">
<Link
href="/about"
className="text-blue-600 font-semibold"
>
English
</Link>
<span className="text-gray-400">|</span>
<Link
href="/about/cn"
className="text-gray-600 hover:text-blue-600"
>
</Link>
<span className="text-gray-400">|</span>
<Link
href="/about/ja"
className="text-gray-600 hover:text-blue-600"
>
</Link>
</div>
</div>
<div className="relative mb-8 rounded-2xl bg-gradient-to-br from-amber-50 via-orange-50 to-rose-50 p-[1px] shadow-lg">
<div className="absolute inset-0 rounded-2xl bg-gradient-to-br from-amber-400 via-orange-400 to-rose-400 opacity-20" />
<div className="relative rounded-2xl bg-white/80 backdrop-blur-sm p-6">
{/* Header */}
<div className="mb-4">
<h3 className="text-lg font-bold text-gray-900 tracking-tight">
Model Change & Usage Limits{" "}
<span className="text-sm text-amber-600 font-medium italic font-normal">
(Or: Why My Wallet is Crying)
</span>
</h3>
</div>
{/* Story */}
<div className="space-y-3 text-sm text-gray-700 leading-relaxed mb-5">
<p>
The response to this project has been
incredibleyou all love making diagrams!
However, this enthusiasm means we are
frequently hitting the AI API rate limits
(TPS/TPM). When this happens, the system
pauses, leading to failed requests.
</p>
<p>
Due to the high usage, I have changed the
model from Claude to{" "}
<span className="font-semibold text-amber-700">
minimax-m2
</span>
, which is more cost-effective.
</p>
<p>
As an{" "}
<span className="font-semibold text-amber-700">
indie developer
</span>
, I am currently footing the entire API
bill. To keep the lights on and ensure the
service remains available to everyone
without sending me into debt, I have also
implemented the following temporary caps:
</p>
</div>
{/* Limits Cards */}
<div className="grid grid-cols-2 gap-3 mb-5">
<div className="rounded-xl bg-gradient-to-br from-amber-100 to-orange-100 p-4 text-center">
<div className="text-xs font-medium text-amber-700 uppercase tracking-wide mb-1">
Token Usage
</div>
<div className="text-lg font-bold text-gray-900">
{formatNumber(tpmLimit)}
<span className="text-sm font-normal text-gray-600">
/min
</span>
</div>
<div className="text-lg font-bold text-gray-900">
{formatNumber(dailyTokenLimit)}
<span className="text-sm font-normal text-gray-600">
/day
</span>
</div>
</div>
<div className="rounded-xl bg-gradient-to-br from-amber-100 to-orange-100 p-4 text-center">
<div className="text-xs font-medium text-amber-700 uppercase tracking-wide mb-1">
Daily Requests
</div>
<div className="text-2xl font-bold text-gray-900">
{dailyRequestLimit}
</div>
<div className="text-sm text-gray-600">
requests
</div>
</div>
</div>
{/* Divider */}
<div className="flex items-center gap-3 my-5">
<div className="flex-1 h-px bg-gradient-to-r from-transparent via-amber-300 to-transparent" />
</div>
{/* Bring Your Own Key */}
<div className="text-center mb-5">
<h4 className="text-base font-bold text-gray-900 mb-2">
Bring Your Own API Key
</h4>
<p className="text-sm text-gray-600 mb-2 max-w-md mx-auto">
You can use your own API key to bypass these
limits. Click the Settings icon in the chat
panel to configure your provider and API
key.
</p>
<p className="text-xs text-gray-500 max-w-md mx-auto">
Your key is stored locally in your browser
and is never stored on the server.
</p>
</div>
{/* Divider */}
<div className="flex items-center gap-3 mb-5">
<div className="flex-1 h-px bg-gradient-to-r from-transparent via-amber-300 to-transparent" />
</div>
{/* Sponsorship CTA */}
<div className="text-center">
<h4 className="text-base font-bold text-gray-900 mb-2">
Call for Sponsorship
</h4>
<p className="text-sm text-gray-600 mb-4 max-w-md mx-auto">
Scaling the backend is the only way to
remove these limits. I am actively seeking
sponsorship from AI API providers or Cloud
Platforms.
</p>
<p className="text-sm text-gray-600 mb-4 max-w-md mx-auto">
In return for support (credits or funding),
I will prominently feature your company as a
platform sponsor on both the GitHub
repository and the live demo site.
</p>
<a
href="mailto:me@jiang.jp"
className="inline-flex items-center gap-2 px-5 py-2.5 rounded-full bg-gradient-to-r from-amber-500 to-orange-500 text-white font-medium text-sm shadow-md hover:shadow-lg hover:scale-105 transition-all duration-200"
>
Contact Me
</a>
</div>
</div>
</div>
<p className="text-gray-700">
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.
</p>
{/* Features */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4">
Features
</h2>
<ul className="list-disc pl-6 text-gray-700 space-y-2">
<li>
<strong>LLM-Powered Diagram Creation</strong>:
Leverage Large Language Models to create and
manipulate draw.io diagrams directly through natural
language commands
</li>
<li>
<strong>Image-Based Diagram Replication</strong>:
Upload existing diagrams or images and have the AI
replicate and enhance them automatically
</li>
<li>
<strong>Diagram History</strong>: Comprehensive
version control that tracks all changes, allowing
you to view and restore previous versions of your
diagrams before the AI editing
</li>
<li>
<strong>Interactive Chat Interface</strong>:
Communicate with AI to refine your diagrams in
real-time
</li>
<li>
<strong>AWS Architecture Diagram Support</strong>:
Specialized support for generating AWS architecture
diagrams
</li>
<li>
<strong>Animated Connectors</strong>: Create dynamic
and animated connectors between diagram elements for
better visualization
</li>
</ul>
{/* Examples */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4">
Examples
</h2>
<p className="text-gray-700 mb-6">
Here are some example prompts and their generated
diagrams:
</p>
<div className="space-y-8">
{/* Animated Transformer */}
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
Animated Transformer Connectors
</h3>
<p className="text-gray-600 mb-4">
<strong>Prompt:</strong> Give me an{" "}
<strong>animated connector</strong> diagram of
transformer&apos;s architecture.
</p>
<Image
src="/animated_connectors.svg"
alt="Transformer Architecture with Animated Connectors"
width={480}
height={360}
className="mx-auto"
/>
</div>
{/* Cloud Architecture Grid */}
<div className="grid md:grid-cols-2 gap-6">
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
GCP Architecture Diagram
</h3>
<p className="text-gray-600 text-sm mb-4">
<strong>Prompt:</strong> Generate a GCP
architecture diagram with{" "}
<strong>GCP icons</strong>. Users connect to
a frontend hosted on an instance.
</p>
<Image
src="/gcp_demo.svg"
alt="GCP Architecture Diagram"
width={400}
height={300}
className="mx-auto"
/>
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
AWS Architecture Diagram
</h3>
<p className="text-gray-600 text-sm mb-4">
<strong>Prompt:</strong> Generate an AWS
architecture diagram with{" "}
<strong>AWS icons</strong>. Users connect to
a frontend hosted on an instance.
</p>
<Image
src="/aws_demo.svg"
alt="AWS Architecture Diagram"
width={400}
height={300}
className="mx-auto"
/>
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
Azure Architecture Diagram
</h3>
<p className="text-gray-600 text-sm mb-4">
<strong>Prompt:</strong> Generate an Azure
architecture diagram with{" "}
<strong>Azure icons</strong>. Users connect
to a frontend hosted on an instance.
</p>
<Image
src="/azure_demo.svg"
alt="Azure Architecture Diagram"
width={400}
height={300}
className="mx-auto"
/>
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">
Cat Sketch
</h3>
<p className="text-gray-600 text-sm mb-4">
<strong>Prompt:</strong> Draw a cute cat for
me.
</p>
<Image
src="/cat_demo.svg"
alt="Cat Drawing"
width={240}
height={240}
className="mx-auto"
/>
</div>
</div>
</div>
{/* How It Works */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4">
How It Works
</h2>
<p className="text-gray-700 mb-4">
The application uses the following technologies:
</p>
<ul className="list-disc pl-6 text-gray-700 space-y-2">
<li>
<strong>Next.js</strong>: For the frontend framework
and routing
</li>
<li>
<strong>Vercel AI SDK</strong> (<code>ai</code> +{" "}
<code>@ai-sdk/*</code>): For streaming AI responses
and multi-provider support
</li>
<li>
<strong>react-drawio</strong>: For diagram
representation and manipulation
</li>
</ul>
<p className="text-gray-700 mt-4">
Diagrams are represented as XML that can be rendered in
draw.io. The AI processes your commands and generates or
modifies this XML accordingly.
</p>
{/* Multi-Provider Support */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4">
Multi-Provider Support
</h2>
<ul className="list-disc pl-6 text-gray-700 space-y-1">
<li>AWS Bedrock (default)</li>
<li>
OpenAI / OpenAI-compatible APIs (via{" "}
<code>OPENAI_BASE_URL</code>)
</li>
<li>Anthropic</li>
<li>Google AI</li>
<li>Azure OpenAI</li>
<li>Ollama</li>
<li>OpenRouter</li>
<li>DeepSeek</li>
</ul>
<p className="text-gray-700 mt-4">
Note that <code>claude-sonnet-4-5</code> has trained on
draw.io diagrams with AWS logos, so if you want to
create AWS architecture diagrams, this is the best
choice.
</p>
{/* Support */}
<div className="flex items-center gap-4 mt-10 mb-4">
<h2 className="text-2xl font-semibold text-gray-900">
Support &amp; Contact
</h2>
<iframe
src="https://github.com/sponsors/DayuanJiang/button"
title="Sponsor DayuanJiang"
height="32"
width="114"
style={{ border: 0, borderRadius: 6 }}
/>
</div>
<p className="text-gray-700">
If you find this project useful, please consider{" "}
<a
href="https://github.com/sponsors/DayuanJiang"
target="_blank"
rel="noopener noreferrer"
className="text-blue-600 hover:underline"
>
sponsoring
</a>{" "}
to help host the live demo site!
</p>
<p className="text-gray-700 mt-2">
For support or inquiries, please open an issue on the{" "}
<a
href="https://github.com/DayuanJiang/next-ai-draw-io"
target="_blank"
rel="noopener noreferrer"
className="text-blue-600 hover:underline"
>
GitHub repository
</a>{" "}
or contact: me[at]jiang.jp
</p>
{/* CTA */}
<div className="mt-12 text-center">
<Link
href="/"
className="inline-block bg-blue-600 text-white px-8 py-3 rounded-lg font-semibold hover:bg-blue-700 transition-colors"
>
Open Editor
</Link>
</div>
</article>
</main>
{/* Footer */}
<footer className="bg-white border-t border-gray-200 mt-16">
<div className="max-w-4xl mx-auto px-4 sm:px-6 lg:px-8 py-6">
<p className="text-center text-gray-600 text-sm">
Next AI Draw.io - Open Source AI-Powered Diagram
Generator
</p>
</div>
</footer>
</div>
)
}

View File

@@ -1,172 +0,0 @@
import { GoogleAnalytics } from "@next/third-parties/google"
import type { Metadata, Viewport } from "next"
import { JetBrains_Mono, Plus_Jakarta_Sans } from "next/font/google"
import { notFound } from "next/navigation"
import { DiagramProvider } from "@/contexts/diagram-context"
import { DictionaryProvider } from "@/hooks/use-dictionary"
import type { Locale } from "@/lib/i18n/config"
import { i18n } from "@/lib/i18n/config"
import { getDictionary, hasLocale } from "@/lib/i18n/dictionaries"
import "../globals.css"
const plusJakarta = Plus_Jakarta_Sans({
variable: "--font-sans",
subsets: ["latin"],
weight: ["400", "500", "600", "700"],
})
const jetbrainsMono = JetBrains_Mono({
variable: "--font-mono",
subsets: ["latin"],
weight: ["400", "500"],
})
export const viewport: Viewport = {
width: "device-width",
initialScale: 1,
maximumScale: 1,
userScalable: false,
}
// Generate static params for all locales
export async function generateStaticParams() {
return i18n.locales.map((locale) => ({ lang: locale }))
}
// Generate metadata per locale
export async function generateMetadata({
params,
}: {
params: Promise<{ lang: string }>
}): Promise<Metadata> {
const { lang: rawLang } = await params
const lang = (rawLang in { en: 1, zh: 1, ja: 1 } ? rawLang : "en") as Locale
// Default to English metadata
const titles: Record<Locale, string> = {
en: "Next AI Draw.io - AI-Powered Diagram Generator",
zh: "Next AI Draw.io - AI powered diagram generator",
ja: "Next AI Draw.io - AI-powered diagram generator",
}
const descriptions: Record<Locale, string> = {
en: "Create AWS architecture diagrams, flowcharts, and technical diagrams using AI. Free online tool integrating draw.io with AI assistance for professional diagram creation.",
zh: "Use AI to create AWS architecture diagrams, flowcharts, and technical diagrams. Free online tool integrated with draw.io and AI assistance for professional diagram creation.",
ja: "Create AWS architecture diagrams, flowcharts, and technical diagrams using AI. Create professional diagrams with a free online tool that integrates draw.io with an AI assistant.",
}
return {
title: titles[lang],
description: descriptions[lang],
keywords: [
"AI diagram generator",
"AWS architecture",
"flowchart creator",
"draw.io",
"AI drawing tool",
"technical diagrams",
"diagram automation",
"free diagram generator",
"online diagram maker",
],
authors: [{ name: "Next AI Draw.io" }],
creator: "Next AI Draw.io",
publisher: "Next AI Draw.io",
metadataBase: new URL("https://next-ai-drawio.jiang.jp"),
openGraph: {
title: titles[lang],
description: descriptions[lang],
type: "website",
url: "https://next-ai-drawio.jiang.jp",
siteName: "Next AI Draw.io",
locale: lang === "zh" ? "zh_CN" : lang === "ja" ? "ja_JP" : "en_US",
images: [
{
url: "/architecture.png",
width: 1200,
height: 630,
alt: "Next AI Draw.io - AI-powered diagram creation tool",
},
],
},
twitter: {
card: "summary_large_image",
title: titles[lang],
description: descriptions[lang],
images: ["/architecture.png"],
},
robots: {
index: true,
follow: true,
googleBot: {
index: true,
follow: true,
"max-video-preview": -1,
"max-image-preview": "large",
"max-snippet": -1,
},
},
icons: {
icon: "/favicon.ico",
},
alternates: {
languages: {
en: "/en",
zh: "/zh",
ja: "/ja",
},
},
}
}
export default async function RootLayout({
children,
params,
}: Readonly<{
children: React.ReactNode
params: Promise<{ lang: string }>
}>) {
const { lang } = await params
if (!hasLocale(lang)) notFound()
const validLang = lang as Locale
const dictionary = await getDictionary(validLang)
const jsonLd = {
"@context": "https://schema.org",
"@type": "SoftwareApplication",
name: "Next AI Draw.io",
applicationCategory: "DesignApplication",
operatingSystem: "Web Browser",
description:
"AI-powered diagram generator with targeted XML editing capabilities that integrates with draw.io for creating AWS architecture diagrams, flowcharts, and technical diagrams. Features diagram history, multi-provider AI support, and real-time collaboration.",
url: "https://next-ai-drawio.jiang.jp",
inLanguage: validLang,
offers: {
"@type": "Offer",
price: "0",
priceCurrency: "USD",
},
}
return (
<html lang={validLang} suppressHydrationWarning>
<head>
<script
type="application/ld+json"
dangerouslySetInnerHTML={{ __html: JSON.stringify(jsonLd) }}
/>
</head>
<body
className={`${plusJakarta.variable} ${jetbrainsMono.variable} antialiased`}
>
<DictionaryProvider dictionary={dictionary}>
<DiagramProvider>{children}</DiagramProvider>
</DictionaryProvider>
</body>
{process.env.NEXT_PUBLIC_GA_ID && (
<GoogleAnalytics gaId={process.env.NEXT_PUBLIC_GA_ID} />
)}
</html>
)
}

View File

@@ -1,249 +0,0 @@
"use client"
import { useCallback, useEffect, useRef, useState } from "react"
import { DrawIoEmbed } from "react-drawio"
import type { ImperativePanelHandle } from "react-resizable-panels"
import ChatPanel from "@/components/chat-panel"
import { STORAGE_CLOSE_PROTECTION_KEY } from "@/components/settings-dialog"
import {
ResizableHandle,
ResizablePanel,
ResizablePanelGroup,
} from "@/components/ui/resizable"
import { useDiagram } from "@/contexts/diagram-context"
const drawioBaseUrl =
process.env.NEXT_PUBLIC_DRAWIO_BASE_URL || "https://embed.diagrams.net"
export default function Home() {
const {
drawioRef,
handleDiagramExport,
onDrawioLoad,
resetDrawioReady,
saveDiagramToStorage,
showSaveDialog,
setShowSaveDialog,
} = useDiagram()
const [isMobile, setIsMobile] = useState(false)
const [isChatVisible, setIsChatVisible] = useState(true)
const [drawioUi, setDrawioUi] = useState<"min" | "sketch">("min")
const [darkMode, setDarkMode] = useState(false)
const [isLoaded, setIsLoaded] = useState(false)
const [closeProtection, setCloseProtection] = useState(false)
const chatPanelRef = useRef<ImperativePanelHandle>(null)
const isSavingRef = useRef(false)
const mouseOverDrawioRef = useRef(false)
const isMobileRef = useRef(false)
// Reset saving flag when dialog closes (with delay to ignore lingering save events from draw.io)
useEffect(() => {
if (!showSaveDialog) {
const timeout = setTimeout(() => {
isSavingRef.current = false
}, 1000)
return () => clearTimeout(timeout)
}
}, [showSaveDialog])
// Handle save from draw.io's built-in save button
// Note: draw.io sends save events for various reasons (focus changes, etc.)
// We use mouse position to determine if the user is interacting with draw.io
const handleDrawioSave = useCallback(() => {
if (!mouseOverDrawioRef.current) return
if (isSavingRef.current) return
isSavingRef.current = true
setShowSaveDialog(true)
}, [setShowSaveDialog])
// Load preferences from localStorage after mount
useEffect(() => {
const savedUi = localStorage.getItem("drawio-theme")
if (savedUi === "min" || savedUi === "sketch") {
setDrawioUi(savedUi)
}
const savedDarkMode = localStorage.getItem("next-ai-draw-io-dark-mode")
if (savedDarkMode !== null) {
const isDark = savedDarkMode === "true"
setDarkMode(isDark)
document.documentElement.classList.toggle("dark", isDark)
} else {
const prefersDark = window.matchMedia(
"(prefers-color-scheme: dark)",
).matches
setDarkMode(prefersDark)
document.documentElement.classList.toggle("dark", prefersDark)
}
const savedCloseProtection = localStorage.getItem(
STORAGE_CLOSE_PROTECTION_KEY,
)
if (savedCloseProtection === "true") {
setCloseProtection(true)
}
setIsLoaded(true)
}, [])
const handleDarkModeChange = async () => {
await saveDiagramToStorage()
const newValue = !darkMode
setDarkMode(newValue)
localStorage.setItem("next-ai-draw-io-dark-mode", String(newValue))
document.documentElement.classList.toggle("dark", newValue)
resetDrawioReady()
}
const handleDrawioUiChange = async () => {
await saveDiagramToStorage()
const newUi = drawioUi === "min" ? "sketch" : "min"
localStorage.setItem("drawio-theme", newUi)
setDrawioUi(newUi)
resetDrawioReady()
}
// Check mobile - save diagram and reset draw.io before crossing breakpoint
const isInitialRenderRef = useRef(true)
useEffect(() => {
const checkMobile = () => {
const newIsMobile = window.innerWidth < 768
if (
!isInitialRenderRef.current &&
newIsMobile !== isMobileRef.current
) {
saveDiagramToStorage().catch(() => {})
resetDrawioReady()
}
isMobileRef.current = newIsMobile
isInitialRenderRef.current = false
setIsMobile(newIsMobile)
}
checkMobile()
window.addEventListener("resize", checkMobile)
return () => window.removeEventListener("resize", checkMobile)
}, [saveDiagramToStorage, resetDrawioReady])
const toggleChatPanel = () => {
const panel = chatPanelRef.current
if (panel) {
if (panel.isCollapsed()) {
panel.expand()
setIsChatVisible(true)
} else {
panel.collapse()
setIsChatVisible(false)
}
}
}
// Keyboard shortcut for toggling chat panel
useEffect(() => {
const handleKeyDown = (event: KeyboardEvent) => {
if ((event.ctrlKey || event.metaKey) && event.key === "b") {
event.preventDefault()
toggleChatPanel()
}
}
window.addEventListener("keydown", handleKeyDown)
return () => window.removeEventListener("keydown", handleKeyDown)
}, [])
// Show confirmation dialog when user tries to leave the page
useEffect(() => {
if (!closeProtection) return
const handleBeforeUnload = (event: BeforeUnloadEvent) => {
event.preventDefault()
return ""
}
window.addEventListener("beforeunload", handleBeforeUnload)
return () =>
window.removeEventListener("beforeunload", handleBeforeUnload)
}, [closeProtection])
return (
<div className="h-screen bg-background relative overflow-hidden">
<ResizablePanelGroup
id="main-panel-group"
direction={isMobile ? "vertical" : "horizontal"}
className="h-full"
>
<ResizablePanel
id="drawio-panel"
defaultSize={isMobile ? 50 : 67}
minSize={20}
>
<div
className={`h-full relative ${
isMobile ? "p-1" : "p-2"
}`}
onMouseEnter={() => {
mouseOverDrawioRef.current = true
}}
onMouseLeave={() => {
mouseOverDrawioRef.current = false
}}
>
<div className="h-full rounded-xl overflow-hidden shadow-soft-lg border border-border/30">
{isLoaded ? (
<DrawIoEmbed
key={`${drawioUi}-${darkMode}`}
ref={drawioRef}
onExport={handleDiagramExport}
onLoad={onDrawioLoad}
onSave={handleDrawioSave}
baseUrl={drawioBaseUrl}
urlParameters={{
ui: drawioUi,
spin: true,
libraries: false,
saveAndExit: false,
noExitBtn: true,
dark: darkMode,
}}
/>
) : (
<div className="h-full w-full flex items-center justify-center bg-background">
<div className="animate-spin h-8 w-8 border-4 border-primary border-t-transparent rounded-full" />
</div>
)}
</div>
</div>
</ResizablePanel>
<ResizableHandle withHandle />
{/* Chat Panel */}
<ResizablePanel
key={isMobile ? "mobile" : "desktop"}
id="chat-panel"
ref={chatPanelRef}
defaultSize={isMobile ? 50 : 33}
minSize={isMobile ? 20 : 15}
maxSize={isMobile ? 80 : 50}
collapsible={!isMobile}
collapsedSize={isMobile ? 0 : 3}
onCollapse={() => setIsChatVisible(false)}
onExpand={() => setIsChatVisible(true)}
>
<div className={`h-full ${isMobile ? "p-1" : "py-2 pr-2"}`}>
<ChatPanel
isVisible={isChatVisible}
onToggleVisibility={toggleChatPanel}
drawioUi={drawioUi}
onToggleDrawioUi={handleDrawioUiChange}
darkMode={darkMode}
onToggleDarkMode={handleDarkModeChange}
isMobile={isMobile}
onCloseProtectionChange={setCloseProtection}
/>
</div>
</ResizablePanel>
</ResizablePanelGroup>
</div>
)
}

205
app/about/cn/page.tsx Normal file
View File

@@ -0,0 +1,205 @@
import type { Metadata } from "next";
import Link from "next/link";
import { FaGithub } from "react-icons/fa";
import Image from "next/image";
export const metadata: Metadata = {
title: "关于 - Next AI Draw.io",
description: "AI驱动的图表创建工具 - 对话、绘制、可视化。使用自然语言创建AWS、GCP和Azure架构图。",
keywords: ["AI图表", "draw.io", "AWS架构", "GCP图表", "Azure图表", "LLM"],
};
export default function AboutCN() {
return (
<div className="min-h-screen bg-gray-50">
{/* Navigation */}
<header className="bg-white border-b border-gray-200">
<div className="max-w-4xl mx-auto px-4 sm:px-6 lg:px-8 py-4">
<div className="flex items-center justify-between">
<Link href="/" className="text-xl font-bold text-gray-900 hover:text-gray-700">
Next AI Draw.io
</Link>
<nav className="flex items-center gap-6 text-sm">
<Link href="/" className="text-gray-600 hover:text-gray-900 transition-colors">
</Link>
<Link href="/about/cn" className="text-blue-600 font-semibold">
</Link>
<a
href="https://github.com/DayuanJiang/next-ai-draw-io"
target="_blank"
rel="noopener noreferrer"
className="text-gray-600 hover:text-gray-900 transition-colors"
aria-label="在GitHub上查看"
>
<FaGithub className="w-5 h-5" />
</a>
</nav>
</div>
</div>
</header>
{/* Main Content */}
<main className="max-w-4xl mx-auto px-4 sm:px-6 lg:px-8 py-12">
<article className="prose prose-lg max-w-none">
{/* Title */}
<div className="text-center mb-8">
<h1 className="text-4xl font-bold text-gray-900 mb-2">Next AI Draw.io</h1>
<p className="text-xl text-gray-600 font-medium">
AI驱动的图表创建工具 -
</p>
<div className="flex justify-center gap-4 mt-4 text-sm">
<Link href="/about" className="text-gray-600 hover:text-blue-600">English</Link>
<span className="text-gray-400">|</span>
<Link href="/about/cn" className="text-blue-600 font-semibold"></Link>
<span className="text-gray-400">|</span>
<Link href="/about/ja" className="text-gray-600 hover:text-blue-600"></Link>
</div>
</div>
<div className="bg-amber-50 border border-amber-200 rounded-lg p-4 mb-6">
<p className="text-amber-800">
Claude Opus 4.5 Claude Haiku 4.5
</p>
</div>
<p className="text-gray-700">
AI功能的Next.js网页应用draw.io图表无缝结合AI辅助可视化来创建
</p>
{/* Features */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4"></h2>
<ul className="list-disc pl-6 text-gray-700 space-y-2">
<li><strong>LLM驱动的图表创建</strong>draw.io图表</li>
<li><strong></strong>AI自动复制和增强</li>
<li><strong></strong>AI编辑前的图表版本</li>
<li><strong></strong>AI实时对话来完善您的图表</li>
<li><strong>AWS架构图支持</strong>AWS架构图</li>
<li><strong></strong></li>
</ul>
{/* Examples */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4"></h2>
<p className="text-gray-700 mb-6"></p>
<div className="space-y-8">
{/* Animated Transformer */}
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">Transformer连接器</h3>
<p className="text-gray-600 mb-4">
<strong></strong> <strong></strong>Transformer架构图
</p>
<Image src="/animated_connectors.svg" alt="带动画连接器的Transformer架构" width={480} height={360} className="mx-auto" />
</div>
{/* Cloud Architecture Grid */}
<div className="grid md:grid-cols-2 gap-6">
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">GCP架构图</h3>
<p className="text-gray-600 text-sm mb-4">
<strong></strong> 使<strong>GCP图标</strong>GCP架构图
</p>
<Image src="/gcp_demo.svg" alt="GCP架构图" width={400} height={300} className="mx-auto" />
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">AWS架构图</h3>
<p className="text-gray-600 text-sm mb-4">
<strong></strong> 使<strong>AWS图标</strong>AWS架构图
</p>
<Image src="/aws_demo.svg" alt="AWS架构图" width={400} height={300} className="mx-auto" />
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">Azure架构图</h3>
<p className="text-gray-600 text-sm mb-4">
<strong></strong> 使<strong>Azure图标</strong>Azure架构图
</p>
<Image src="/azure_demo.svg" alt="Azure架构图" width={400} height={300} className="mx-auto" />
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2"></h3>
<p className="text-gray-600 text-sm mb-4">
<strong></strong>
</p>
<Image src="/cat_demo.svg" alt="猫咪绘图" width={240} height={240} className="mx-auto" />
</div>
</div>
</div>
{/* How It Works */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4"></h2>
<p className="text-gray-700 mb-4">使</p>
<ul className="list-disc pl-6 text-gray-700 space-y-2">
<li><strong>Next.js</strong></li>
<li><strong>Vercel AI SDK</strong><code>ai</code> + <code>@ai-sdk/*</code>用于流式AI响应和多提供商支持</li>
<li><strong>react-drawio</strong>:用于图表表示和操作</li>
</ul>
<p className="text-gray-700 mt-4">
图表以XML格式表示可在draw.io中渲染。AI处理您的命令并相应地生成或修改此XML。
</p>
{/* Multi-Provider Support */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4"></h2>
<ul className="list-disc pl-6 text-gray-700 space-y-1">
<li>AWS Bedrock</li>
<li>OpenAI / OpenAI兼容API <code>OPENAI_BASE_URL</code></li>
<li>Anthropic</li>
<li>Google AI</li>
<li>Azure OpenAI</li>
<li>Ollama</li>
<li>OpenRouter</li>
<li>DeepSeek</li>
</ul>
<p className="text-gray-700 mt-4">
<code>claude-sonnet-4-5</code> AWS标志的draw.io图表上进行训练AWS架构图
</p>
{/* Support */}
<div className="flex items-center gap-4 mt-10 mb-4">
<h2 className="text-2xl font-semibold text-gray-900"></h2>
<iframe
src="https://github.com/sponsors/DayuanJiang/button"
title="Sponsor DayuanJiang"
height="32"
width="114"
style={{ border: 0, borderRadius: 6 }}
/>
</div>
<p className="text-gray-700">
{" "}
<a href="https://github.com/sponsors/DayuanJiang" target="_blank" rel="noopener noreferrer" className="text-blue-600 hover:underline">
</a>{" "}
线
</p>
<p className="text-gray-700 mt-2">
{" "}
<a href="https://github.com/DayuanJiang/next-ai-draw-io" target="_blank" rel="noopener noreferrer" className="text-blue-600 hover:underline">
GitHub仓库
</a>{" "}
issue或联系me[at]jiang.jp
</p>
{/* CTA */}
<div className="mt-12 text-center">
<Link
href="/"
className="inline-block bg-blue-600 text-white px-8 py-3 rounded-lg font-semibold hover:bg-blue-700 transition-colors"
>
</Link>
</div>
</article>
</main>
{/* Footer */}
<footer className="bg-white border-t border-gray-200 mt-16">
<div className="max-w-4xl mx-auto px-4 sm:px-6 lg:px-8 py-6">
<p className="text-center text-gray-600 text-sm">
Next AI Draw.io - AI驱动的图表生成器
</p>
</div>
</footer>
</div>
);
}

205
app/about/ja/page.tsx Normal file
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@@ -0,0 +1,205 @@
import type { Metadata } from "next";
import Link from "next/link";
import { FaGithub } from "react-icons/fa";
import Image from "next/image";
export const metadata: Metadata = {
title: "概要 - Next AI Draw.io",
description: "AI搭載のダイアグラム作成ツール - チャット、描画、可視化。自然言語でAWS、GCP、Azureアーキテクチャ図を作成。",
keywords: ["AIダイアグラム", "draw.io", "AWSアーキテクチャ", "GCPダイアグラム", "Azureダイアグラム", "LLM"],
};
export default function AboutJA() {
return (
<div className="min-h-screen bg-gray-50">
{/* Navigation */}
<header className="bg-white border-b border-gray-200">
<div className="max-w-4xl mx-auto px-4 sm:px-6 lg:px-8 py-4">
<div className="flex items-center justify-between">
<Link href="/" className="text-xl font-bold text-gray-900 hover:text-gray-700">
Next AI Draw.io
</Link>
<nav className="flex items-center gap-6 text-sm">
<Link href="/" className="text-gray-600 hover:text-gray-900 transition-colors">
</Link>
<Link href="/about/ja" className="text-blue-600 font-semibold">
</Link>
<a
href="https://github.com/DayuanJiang/next-ai-draw-io"
target="_blank"
rel="noopener noreferrer"
className="text-gray-600 hover:text-gray-900 transition-colors"
aria-label="GitHubで見る"
>
<FaGithub className="w-5 h-5" />
</a>
</nav>
</div>
</div>
</header>
{/* Main Content */}
<main className="max-w-4xl mx-auto px-4 sm:px-6 lg:px-8 py-12">
<article className="prose prose-lg max-w-none">
{/* Title */}
<div className="text-center mb-8">
<h1 className="text-4xl font-bold text-gray-900 mb-2">Next AI Draw.io</h1>
<p className="text-xl text-gray-600 font-medium">
AI搭載のダイアグラム作成ツール -
</p>
<div className="flex justify-center gap-4 mt-4 text-sm">
<Link href="/about" className="text-gray-600 hover:text-blue-600">English</Link>
<span className="text-gray-400">|</span>
<Link href="/about/cn" className="text-gray-600 hover:text-blue-600"></Link>
<span className="text-gray-400">|</span>
<Link href="/about/ja" className="text-blue-600 font-semibold"></Link>
</div>
</div>
<div className="bg-amber-50 border border-amber-200 rounded-lg p-4 mb-6">
<p className="text-amber-800">
Claude Opus 4.5 Claude Haiku 4.5
</p>
</div>
<p className="text-gray-700">
AI機能とdraw.ioダイアグラムを統合したNext.jsウェブアプリケーションですAI支援の可視化により
</p>
{/* Features */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4"></h2>
<ul className="list-disc pl-6 text-gray-700 space-y-2">
<li><strong>LLM搭載のダイアグラム作成</strong>draw.ioダイアグラムを作成</li>
<li><strong></strong>AIが自動的に複製</li>
<li><strong></strong>AI編集前のダイアグラムの以前のバージョンを表示</li>
<li><strong></strong>AIとリアルタイムでコミュニケーションしてダイアグラムを改善</li>
<li><strong>AWSアーキテクチャダイアグラムサポート</strong>AWSアーキテクチャダイアグラムの生成を専門的にサポート</li>
<li><strong></strong></li>
</ul>
{/* Examples */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4"></h2>
<p className="text-gray-700 mb-6"></p>
<div className="space-y-8">
{/* Animated Transformer */}
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">Transformerコネクタ</h3>
<p className="text-gray-600 mb-4">
<strong></strong> <strong></strong>Transformerアーキテクチャ図を作成してください
</p>
<Image src="/animated_connectors.svg" alt="アニメーションコネクタ付きTransformerアーキテクチャ" width={480} height={360} className="mx-auto" />
</div>
{/* Cloud Architecture Grid */}
<div className="grid md:grid-cols-2 gap-6">
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">GCPアーキテクチャ図</h3>
<p className="text-gray-600 text-sm mb-4">
<strong></strong> <strong>GCPアイコン</strong>使GCPアーキテクチャ図を生成してください
</p>
<Image src="/gcp_demo.svg" alt="GCPアーキテクチャ図" width={400} height={300} className="mx-auto" />
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">AWSアーキテクチャ図</h3>
<p className="text-gray-600 text-sm mb-4">
<strong></strong> <strong>AWSアイコン</strong>使AWSアーキテクチャ図を生成してください
</p>
<Image src="/aws_demo.svg" alt="AWSアーキテクチャ図" width={400} height={300} className="mx-auto" />
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">Azureアーキテクチャ図</h3>
<p className="text-gray-600 text-sm mb-4">
<strong></strong> <strong>Azureアイコン</strong>使Azureアーキテクチャ図を生成してください
</p>
<Image src="/azure_demo.svg" alt="Azureアーキテクチャ図" width={400} height={300} className="mx-auto" />
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2"></h3>
<p className="text-gray-600 text-sm mb-4">
<strong></strong>
</p>
<Image src="/cat_demo.svg" alt="猫の絵" width={240} height={240} className="mx-auto" />
</div>
</div>
</div>
{/* How It Works */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4"></h2>
<p className="text-gray-700 mb-4">使</p>
<ul className="list-disc pl-6 text-gray-700 space-y-2">
<li><strong>Next.js</strong></li>
<li><strong>Vercel AI SDK</strong><code>ai</code> + <code>@ai-sdk/*</code>ストリーミングAIレスポンスとマルチプロバイダーサポート</li>
<li><strong>react-drawio</strong>:ダイアグラムの表現と操作</li>
</ul>
<p className="text-gray-700 mt-4">
ダイアグラムはdraw.ioでレンダリングできるXMLとして表現されます。AIがコマンドを処理し、それに応じてこのXMLを生成または変更します。
</p>
{/* Multi-Provider Support */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4"></h2>
<ul className="list-disc pl-6 text-gray-700 space-y-1">
<li>AWS Bedrock</li>
<li>OpenAI / OpenAI互換API<code>OPENAI_BASE_URL</code></li>
<li>Anthropic</li>
<li>Google AI</li>
<li>Azure OpenAI</li>
<li>Ollama</li>
<li>OpenRouter</li>
<li>DeepSeek</li>
</ul>
<p className="text-gray-700 mt-4">
<code>claude-sonnet-4-5</code>AWSロゴ付きのdraw.ioダイアグラムで学習されているためAWSアーキテクチャダイアグラムを作成したい場合は最適な選択です
</p>
{/* Support */}
<div className="flex items-center gap-4 mt-10 mb-4">
<h2 className="text-2xl font-semibold text-gray-900"></h2>
<iframe
src="https://github.com/sponsors/DayuanJiang/button"
title="Sponsor DayuanJiang"
height="32"
width="114"
style={{ border: 0, borderRadius: 6 }}
/>
</div>
<p className="text-gray-700">
{" "}
<a href="https://github.com/sponsors/DayuanJiang" target="_blank" rel="noopener noreferrer" className="text-blue-600 hover:underline">
</a>{" "}
</p>
<p className="text-gray-700 mt-2">
{" "}
<a href="https://github.com/DayuanJiang/next-ai-draw-io" target="_blank" rel="noopener noreferrer" className="text-blue-600 hover:underline">
GitHubリポジトリ
</a>{" "}
issueを開くかme[at]jiang.jp
</p>
{/* CTA */}
<div className="mt-12 text-center">
<Link
href="/"
className="inline-block bg-blue-600 text-white px-8 py-3 rounded-lg font-semibold hover:bg-blue-700 transition-colors"
>
</Link>
</div>
</article>
</main>
{/* Footer */}
<footer className="bg-white border-t border-gray-200 mt-16">
<div className="max-w-4xl mx-auto px-4 sm:px-6 lg:px-8 py-6">
<p className="text-center text-gray-600 text-sm">
Next AI Draw.io - AI搭載ダイアグラムジェネレーター
</p>
</div>
</footer>
</div>
);
}

206
app/about/page.tsx Normal file
View File

@@ -0,0 +1,206 @@
import type { Metadata } from "next";
import Link from "next/link";
import { FaGithub } from "react-icons/fa";
import Image from "next/image";
export const metadata: Metadata = {
title: "About - Next AI Draw.io",
description: "AI-Powered Diagram Creation Tool - Chat, Draw, Visualize. Create AWS, GCP, and Azure architecture diagrams with natural language.",
keywords: ["AI diagram", "draw.io", "AWS architecture", "GCP diagram", "Azure diagram", "LLM"],
};
export default function About() {
return (
<div className="min-h-screen bg-gray-50">
{/* Navigation */}
<header className="bg-white border-b border-gray-200">
<div className="max-w-4xl mx-auto px-4 sm:px-6 lg:px-8 py-4">
<div className="flex items-center justify-between">
<Link href="/" className="text-xl font-bold text-gray-900 hover:text-gray-700">
Next AI Draw.io
</Link>
<nav className="flex items-center gap-6 text-sm">
<Link href="/" className="text-gray-600 hover:text-gray-900 transition-colors">
Editor
</Link>
<Link href="/about" className="text-blue-600 font-semibold">
About
</Link>
<a
href="https://github.com/DayuanJiang/next-ai-draw-io"
target="_blank"
rel="noopener noreferrer"
className="text-gray-600 hover:text-gray-900 transition-colors"
aria-label="View on GitHub"
>
<FaGithub className="w-5 h-5" />
</a>
</nav>
</div>
</div>
</header>
{/* Main Content */}
<main className="max-w-4xl mx-auto px-4 sm:px-6 lg:px-8 py-12">
<article className="prose prose-lg max-w-none">
{/* Title */}
<div className="text-center mb-8">
<h1 className="text-4xl font-bold text-gray-900 mb-2">Next AI Draw.io</h1>
<p className="text-xl text-gray-600 font-medium">
AI-Powered Diagram Creation Tool - Chat, Draw, Visualize
</p>
<div className="flex justify-center gap-4 mt-4 text-sm">
<Link href="/about" className="text-blue-600 font-semibold">English</Link>
<span className="text-gray-400">|</span>
<Link href="/about/cn" className="text-gray-600 hover:text-blue-600"></Link>
<span className="text-gray-400">|</span>
<Link href="/about/ja" className="text-gray-600 hover:text-blue-600"></Link>
</div>
</div>
<div className="bg-amber-50 border border-amber-200 rounded-lg p-4 mb-6">
<p className="text-amber-800">
This app is designed to run on Claude Opus 4.5 for best performance. However, due to higher-than-expected traffic, running the top-tier model has become cost-prohibitive. To avoid service interruptions and manage costs, I have switched the backend to Claude Haiku 4.5.
</p>
</div>
<p className="text-gray-700">
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.
</p>
{/* Features */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4">Features</h2>
<ul className="list-disc pl-6 text-gray-700 space-y-2">
<li><strong>LLM-Powered Diagram Creation</strong>: Leverage Large Language Models to create and manipulate draw.io diagrams directly through natural language commands</li>
<li><strong>Image-Based Diagram Replication</strong>: Upload existing diagrams or images and have the AI replicate and enhance them automatically</li>
<li><strong>Diagram History</strong>: Comprehensive version control that tracks all changes, allowing you to view and restore previous versions of your diagrams before the AI editing</li>
<li><strong>Interactive Chat Interface</strong>: Communicate with AI to refine your diagrams in real-time</li>
<li><strong>AWS Architecture Diagram Support</strong>: Specialized support for generating AWS architecture diagrams</li>
<li><strong>Animated Connectors</strong>: Create dynamic and animated connectors between diagram elements for better visualization</li>
</ul>
{/* Examples */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4">Examples</h2>
<p className="text-gray-700 mb-6">Here are some example prompts and their generated diagrams:</p>
<div className="space-y-8">
{/* Animated Transformer */}
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">Animated Transformer Connectors</h3>
<p className="text-gray-600 mb-4">
<strong>Prompt:</strong> Give me an <strong>animated connector</strong> diagram of transformer&apos;s architecture.
</p>
<Image src="/animated_connectors.svg" alt="Transformer Architecture with Animated Connectors" width={480} height={360} className="mx-auto" />
</div>
{/* Cloud Architecture Grid */}
<div className="grid md:grid-cols-2 gap-6">
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">GCP Architecture Diagram</h3>
<p className="text-gray-600 text-sm mb-4">
<strong>Prompt:</strong> Generate a GCP architecture diagram with <strong>GCP icons</strong>. Users connect to a frontend hosted on an instance.
</p>
<Image src="/gcp_demo.svg" alt="GCP Architecture Diagram" width={400} height={300} className="mx-auto" />
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">AWS Architecture Diagram</h3>
<p className="text-gray-600 text-sm mb-4">
<strong>Prompt:</strong> Generate an AWS architecture diagram with <strong>AWS icons</strong>. Users connect to a frontend hosted on an instance.
</p>
<Image src="/aws_demo.svg" alt="AWS Architecture Diagram" width={400} height={300} className="mx-auto" />
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">Azure Architecture Diagram</h3>
<p className="text-gray-600 text-sm mb-4">
<strong>Prompt:</strong> Generate an Azure architecture diagram with <strong>Azure icons</strong>. Users connect to a frontend hosted on an instance.
</p>
<Image src="/azure_demo.svg" alt="Azure Architecture Diagram" width={400} height={300} className="mx-auto" />
</div>
<div className="text-center">
<h3 className="text-lg font-semibold text-gray-900 mb-2">Cat Sketch</h3>
<p className="text-gray-600 text-sm mb-4">
<strong>Prompt:</strong> Draw a cute cat for me.
</p>
<Image src="/cat_demo.svg" alt="Cat Drawing" width={240} height={240} className="mx-auto" />
</div>
</div>
</div>
{/* How It Works */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4">How It Works</h2>
<p className="text-gray-700 mb-4">The application uses the following technologies:</p>
<ul className="list-disc pl-6 text-gray-700 space-y-2">
<li><strong>Next.js</strong>: For the frontend framework and routing</li>
<li><strong>Vercel AI SDK</strong> (<code>ai</code> + <code>@ai-sdk/*</code>): For streaming AI responses and multi-provider support</li>
<li><strong>react-drawio</strong>: For diagram representation and manipulation</li>
</ul>
<p className="text-gray-700 mt-4">
Diagrams are represented as XML that can be rendered in draw.io. The AI processes your commands and generates or modifies this XML accordingly.
</p>
{/* Multi-Provider Support */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4">Multi-Provider Support</h2>
<ul className="list-disc pl-6 text-gray-700 space-y-1">
<li>AWS Bedrock (default)</li>
<li>OpenAI / OpenAI-compatible APIs (via <code>OPENAI_BASE_URL</code>)</li>
<li>Anthropic</li>
<li>Google AI</li>
<li>Azure OpenAI</li>
<li>Ollama</li>
<li>OpenRouter</li>
<li>DeepSeek</li>
</ul>
<p className="text-gray-700 mt-4">
Note that <code>claude-sonnet-4-5</code> has trained on draw.io diagrams with AWS logos, so if you want to create AWS architecture diagrams, this is the best choice.
</p>
{/* Support */}
<div className="flex items-center gap-4 mt-10 mb-4">
<h2 className="text-2xl font-semibold text-gray-900">Support &amp; Contact</h2>
<iframe
src="https://github.com/sponsors/DayuanJiang/button"
title="Sponsor DayuanJiang"
height="32"
width="114"
style={{ border: 0, borderRadius: 6 }}
/>
</div>
<p className="text-gray-700">
If you find this project useful, please consider{" "}
<a href="https://github.com/sponsors/DayuanJiang" target="_blank" rel="noopener noreferrer" className="text-blue-600 hover:underline">
sponsoring
</a>{" "}
to help host the live demo site!
</p>
<p className="text-gray-700 mt-2">
For support or inquiries, please open an issue on the{" "}
<a href="https://github.com/DayuanJiang/next-ai-draw-io" target="_blank" rel="noopener noreferrer" className="text-blue-600 hover:underline">
GitHub repository
</a>{" "}
or contact: me[at]jiang.jp
</p>
{/* CTA */}
<div className="mt-12 text-center">
<Link
href="/"
className="inline-block bg-blue-600 text-white px-8 py-3 rounded-lg font-semibold hover:bg-blue-700 transition-colors"
>
Open Editor
</Link>
</div>
</article>
</main>
{/* Footer */}
<footer className="bg-white border-t border-gray-200 mt-16">
<div className="max-w-4xl mx-auto px-4 sm:px-6 lg:px-8 py-6">
<p className="text-center text-gray-600 text-sm">
Next AI Draw.io - Open Source AI-Powered Diagram Generator
</p>
</div>
</footer>
</div>
);
}

File diff suppressed because it is too large Load Diff

View File

@@ -81,15 +81,16 @@ Contains the actual diagram data.
## Root Cell Container: `<root>`
Contains all the cells in the diagram. **Note:** When generating diagrams, you only need to provide the mxCell elements - the root container and root cells (id="0", id="1") are added automatically.
Contains all the cells in the diagram.
**Internal structure (auto-generated):**
**Example:**
```xml
<root>
<mxCell id="0"/> <!-- Auto-added -->
<mxCell id="1" parent="0"/> <!-- Auto-added -->
<!-- Your mxCell elements go here (start from id="2") -->
<mxCell id="0"/>
<mxCell id="1" parent="0"/>
<!-- Other cells go here -->
</root>
```
@@ -202,15 +203,15 @@ Draw.io files contain two special cells that are always present:
1. **Root Cell** (id = "0"): The parent of all cells
2. **Default Parent Cell** (id = "1", parent = "0"): The default layer and parent for most cells
## Tips for Creating Draw.io XML
## Tips for Manually Creating Draw.io XML
1. **Generate ONLY mxCell elements** - wrapper tags and root cells (id="0", id="1") are added automatically
2. Start IDs from "2" (id="0" and id="1" are reserved for root cells)
1. Start with the basic structure (`mxfile`, `diagram`, `mxGraphModel`, `root`)
2. Always include the two special cells (id = "0" and id = "1")
3. Assign unique and sequential IDs to all cells
4. Define parent relationships correctly (use parent="1" for top-level shapes)
4. Define parent relationships correctly
5. Use `mxGeometry` elements to position shapes
6. For connectors, specify `source` and `target` attributes
7. **CRITICAL: All mxCell elements must be siblings. NEVER nest mxCell inside another mxCell.**
7. **CRITICAL: All mxCell elements must be DIRECT children of `<root>`. NEVER nest mxCell inside another mxCell.**
## Common Patterns

View File

@@ -1,10 +1,9 @@
import { NextResponse } from "next/server"
import { NextResponse } from "next/server";
export async function GET() {
return NextResponse.json({
accessCodeRequired: !!process.env.ACCESS_CODE_LIST,
dailyRequestLimit: Number(process.env.DAILY_REQUEST_LIMIT) || 0,
dailyTokenLimit: Number(process.env.DAILY_TOKEN_LIMIT) || 0,
tpmLimit: Number(process.env.TPM_LIMIT) || 0,
})
const accessCodes = process.env.ACCESS_CODE_LIST?.split(',').map(code => code.trim()).filter(Boolean) || [];
return NextResponse.json({
accessCodeRequired: accessCodes.length > 0,
});
}

View File

@@ -1,112 +1,103 @@
import { randomUUID } from "crypto"
import { z } from "zod"
import { getLangfuseClient } from "@/lib/langfuse"
import { getLangfuseClient } from '@/lib/langfuse';
import { randomUUID } from 'crypto';
import { z } from 'zod';
const feedbackSchema = z.object({
messageId: z.string().min(1).max(200),
feedback: z.enum(["good", "bad"]),
sessionId: z.string().min(1).max(200).optional(),
})
messageId: z.string().min(1).max(200),
feedback: z.enum(['good', 'bad']),
sessionId: z.string().min(1).max(200).optional(),
});
export async function POST(req: Request) {
const langfuse = getLangfuseClient()
if (!langfuse) {
return Response.json({ success: true, logged: false })
const langfuse = getLangfuseClient();
if (!langfuse) {
return Response.json({ success: true, logged: false });
}
// Validate input
let data;
try {
data = feedbackSchema.parse(await req.json());
} catch {
return Response.json({ success: false, error: 'Invalid input' }, { status: 400 });
}
const { messageId, feedback, sessionId } = data;
// Get user IP for tracking
const forwardedFor = req.headers.get('x-forwarded-for');
const userId = forwardedFor?.split(',')[0]?.trim() || 'anonymous';
try {
// Find the most recent chat trace for this session to attach the score to
const tracesResponse = await langfuse.api.trace.list({
sessionId,
limit: 1,
});
const traces = tracesResponse.data || [];
const latestTrace = traces[0];
if (!latestTrace) {
// No trace found for this session - create a standalone feedback trace
const traceId = randomUUID();
const timestamp = new Date().toISOString();
await langfuse.api.ingestion.batch({
batch: [
{
type: 'trace-create',
id: randomUUID(),
timestamp,
body: {
id: traceId,
name: 'user-feedback',
sessionId,
userId,
input: { messageId, feedback },
metadata: { source: 'feedback-button', note: 'standalone - no chat trace found' },
timestamp,
},
},
{
type: 'score-create',
id: randomUUID(),
timestamp,
body: {
id: randomUUID(),
traceId,
name: 'user-feedback',
value: feedback === 'good' ? 1 : 0,
comment: `User gave ${feedback} feedback`,
},
},
],
});
} else {
// Attach score to the existing chat trace
const timestamp = new Date().toISOString();
await langfuse.api.ingestion.batch({
batch: [
{
type: 'score-create',
id: randomUUID(),
timestamp,
body: {
id: randomUUID(),
traceId: latestTrace.id,
name: 'user-feedback',
value: feedback === 'good' ? 1 : 0,
comment: `User gave ${feedback} feedback`,
},
},
],
});
}
// Validate input
let data
try {
data = feedbackSchema.parse(await req.json())
} catch {
return Response.json(
{ success: false, error: "Invalid input" },
{ status: 400 },
)
}
const { messageId, feedback, sessionId } = data
// Get user IP for tracking
const forwardedFor = req.headers.get("x-forwarded-for")
const userId = forwardedFor?.split(",")[0]?.trim() || "anonymous"
try {
// Find the most recent chat trace for this session to attach the score to
const tracesResponse = await langfuse.api.trace.list({
sessionId,
limit: 1,
})
const traces = tracesResponse.data || []
const latestTrace = traces[0]
if (!latestTrace) {
// No trace found for this session - create a standalone feedback trace
const traceId = randomUUID()
const timestamp = new Date().toISOString()
await langfuse.api.ingestion.batch({
batch: [
{
type: "trace-create",
id: randomUUID(),
timestamp,
body: {
id: traceId,
name: "user-feedback",
sessionId,
userId,
input: { messageId, feedback },
metadata: {
source: "feedback-button",
note: "standalone - no chat trace found",
},
timestamp,
},
},
{
type: "score-create",
id: randomUUID(),
timestamp,
body: {
id: randomUUID(),
traceId,
name: "user-feedback",
value: feedback === "good" ? 1 : 0,
comment: `User gave ${feedback} feedback`,
},
},
],
})
} else {
// Attach score to the existing chat trace
const timestamp = new Date().toISOString()
await langfuse.api.ingestion.batch({
batch: [
{
type: "score-create",
id: randomUUID(),
timestamp,
body: {
id: randomUUID(),
traceId: latestTrace.id,
name: "user-feedback",
value: feedback === "good" ? 1 : 0,
comment: `User gave ${feedback} feedback`,
},
},
],
})
}
return Response.json({ success: true, logged: true })
} catch (error) {
console.error("Langfuse feedback error:", error)
return Response.json(
{ success: false, error: "Failed to log feedback" },
{ status: 500 },
)
}
return Response.json({ success: true, logged: true });
} catch (error) {
console.error('Langfuse feedback error:', error);
return Response.json({ success: false, error: 'Failed to log feedback' }, { status: 500 });
}
}

View File

@@ -1,71 +1,65 @@
import { randomUUID } from "crypto"
import { z } from "zod"
import { getLangfuseClient } from "@/lib/langfuse"
import { getLangfuseClient } from '@/lib/langfuse';
import { randomUUID } from 'crypto';
import { z } from 'zod';
const saveSchema = z.object({
filename: z.string().min(1).max(255),
format: z.enum(["drawio", "png", "svg"]),
sessionId: z.string().min(1).max(200).optional(),
})
filename: z.string().min(1).max(255),
format: z.enum(['drawio', 'png', 'svg']),
sessionId: z.string().min(1).max(200).optional(),
});
export async function POST(req: Request) {
const langfuse = getLangfuseClient()
if (!langfuse) {
return Response.json({ success: true, logged: false })
const langfuse = getLangfuseClient();
if (!langfuse) {
return Response.json({ success: true, logged: false });
}
// Validate input
let data;
try {
data = saveSchema.parse(await req.json());
} catch {
return Response.json({ success: false, error: 'Invalid input' }, { status: 400 });
}
const { filename, format, sessionId } = data;
try {
const timestamp = new Date().toISOString();
// Find the most recent chat trace for this session to attach the save flag
const tracesResponse = await langfuse.api.trace.list({
sessionId,
limit: 1,
});
const traces = tracesResponse.data || [];
const latestTrace = traces[0];
if (latestTrace) {
// Add a score to the existing trace to flag that user saved
await langfuse.api.ingestion.batch({
batch: [
{
type: 'score-create',
id: randomUUID(),
timestamp,
body: {
id: randomUUID(),
traceId: latestTrace.id,
name: 'diagram-saved',
value: 1,
comment: `User saved diagram as ${filename}.${format}`,
},
},
],
});
}
// If no trace found, skip logging (user hasn't chatted yet)
// Validate input
let data
try {
data = saveSchema.parse(await req.json())
} catch {
return Response.json(
{ success: false, error: "Invalid input" },
{ status: 400 },
)
}
const { filename, format, sessionId } = data
try {
const timestamp = new Date().toISOString()
// Find the most recent chat trace for this session to attach the save flag
const tracesResponse = await langfuse.api.trace.list({
sessionId,
limit: 1,
})
const traces = tracesResponse.data || []
const latestTrace = traces[0]
if (latestTrace) {
// Add a score to the existing trace to flag that user saved
await langfuse.api.ingestion.batch({
batch: [
{
type: "score-create",
id: randomUUID(),
timestamp,
body: {
id: randomUUID(),
traceId: latestTrace.id,
name: "diagram-saved",
value: 1,
comment: `User saved diagram as ${filename}.${format}`,
},
},
],
})
}
// If no trace found, skip logging (user hasn't chatted yet)
return Response.json({ success: true, logged: !!latestTrace })
} catch (error) {
console.error("Langfuse save error:", error)
return Response.json(
{ success: false, error: "Failed to log save" },
{ status: 500 },
)
}
return Response.json({ success: true, logged: !!latestTrace });
} catch (error) {
console.error('Langfuse save error:', error);
return Response.json({ success: false, error: 'Failed to log save' }, { status: 500 });
}
}

View File

@@ -1,281 +0,0 @@
import { createAmazonBedrock } from "@ai-sdk/amazon-bedrock"
import { createAnthropic } from "@ai-sdk/anthropic"
import { createDeepSeek, deepseek } from "@ai-sdk/deepseek"
import { createGateway } from "@ai-sdk/gateway"
import { createGoogleGenerativeAI } from "@ai-sdk/google"
import { createOpenAI } from "@ai-sdk/openai"
import { createOpenRouter } from "@openrouter/ai-sdk-provider"
import { generateText } from "ai"
import { NextResponse } from "next/server"
import { createOllama } from "ollama-ai-provider-v2"
export const runtime = "nodejs"
/**
* SECURITY: Check if URL points to private/internal network (SSRF protection)
* Blocks: localhost, private IPs, link-local, AWS metadata service
*/
function isPrivateUrl(urlString: string): boolean {
try {
const url = new URL(urlString)
const hostname = url.hostname.toLowerCase()
// Block localhost
if (
hostname === "localhost" ||
hostname === "127.0.0.1" ||
hostname === "::1"
) {
return true
}
// Block AWS/cloud metadata endpoints
if (
hostname === "169.254.169.254" ||
hostname === "metadata.google.internal"
) {
return true
}
// Check for private IPv4 ranges
const ipv4Match = hostname.match(
/^(\d{1,3})\.(\d{1,3})\.(\d{1,3})\.(\d{1,3})$/,
)
if (ipv4Match) {
const [, a, b] = ipv4Match.map(Number)
// 10.0.0.0/8
if (a === 10) return true
// 172.16.0.0/12
if (a === 172 && b >= 16 && b <= 31) return true
// 192.168.0.0/16
if (a === 192 && b === 168) return true
// 169.254.0.0/16 (link-local)
if (a === 169 && b === 254) return true
// 127.0.0.0/8 (loopback)
if (a === 127) return true
}
// Block common internal hostnames
if (
hostname.endsWith(".local") ||
hostname.endsWith(".internal") ||
hostname.endsWith(".localhost")
) {
return true
}
return false
} catch {
// Invalid URL - block it
return true
}
}
interface ValidateRequest {
provider: string
apiKey: string
baseUrl?: string
modelId: string
// AWS Bedrock specific
awsAccessKeyId?: string
awsSecretAccessKey?: string
awsRegion?: string
}
export async function POST(req: Request) {
try {
const body: ValidateRequest = await req.json()
const {
provider,
apiKey,
baseUrl,
modelId,
awsAccessKeyId,
awsSecretAccessKey,
awsRegion,
} = body
if (!provider || !modelId) {
return NextResponse.json(
{ valid: false, error: "Provider and model ID are required" },
{ status: 400 },
)
}
// SECURITY: Block SSRF attacks via custom baseUrl
if (baseUrl && isPrivateUrl(baseUrl)) {
return NextResponse.json(
{ valid: false, error: "Invalid base URL" },
{ status: 400 },
)
}
// Validate credentials based on provider
if (provider === "bedrock") {
if (!awsAccessKeyId || !awsSecretAccessKey || !awsRegion) {
return NextResponse.json(
{
valid: false,
error: "AWS credentials (Access Key ID, Secret Access Key, Region) are required",
},
{ status: 400 },
)
}
} else if (provider !== "ollama" && !apiKey) {
return NextResponse.json(
{ valid: false, error: "API key is required" },
{ status: 400 },
)
}
let model: any
switch (provider) {
case "openai": {
const openai = createOpenAI({
apiKey,
...(baseUrl && { baseURL: baseUrl }),
})
model = openai.chat(modelId)
break
}
case "anthropic": {
const anthropic = createAnthropic({
apiKey,
baseURL: baseUrl || "https://api.anthropic.com/v1",
})
model = anthropic(modelId)
break
}
case "google": {
const google = createGoogleGenerativeAI({
apiKey,
...(baseUrl && { baseURL: baseUrl }),
})
model = google(modelId)
break
}
case "azure": {
const azure = createOpenAI({
apiKey,
baseURL: baseUrl,
})
model = azure.chat(modelId)
break
}
case "bedrock": {
const bedrock = createAmazonBedrock({
accessKeyId: awsAccessKeyId,
secretAccessKey: awsSecretAccessKey,
region: awsRegion,
})
model = bedrock(modelId)
break
}
case "openrouter": {
const openrouter = createOpenRouter({
apiKey,
...(baseUrl && { baseURL: baseUrl }),
})
model = openrouter(modelId)
break
}
case "deepseek": {
if (baseUrl || apiKey) {
const ds = createDeepSeek({
apiKey,
...(baseUrl && { baseURL: baseUrl }),
})
model = ds(modelId)
} else {
model = deepseek(modelId)
}
break
}
case "siliconflow": {
const sf = createOpenAI({
apiKey,
baseURL: baseUrl || "https://api.siliconflow.com/v1",
})
model = sf.chat(modelId)
break
}
case "ollama": {
const ollama = createOllama({
baseURL: baseUrl || "http://localhost:11434",
})
model = ollama(modelId)
break
}
case "gateway": {
const gw = createGateway({
apiKey,
...(baseUrl && { baseURL: baseUrl }),
})
model = gw(modelId)
break
}
default:
return NextResponse.json(
{ valid: false, error: `Unknown provider: ${provider}` },
{ status: 400 },
)
}
// Make a minimal test request
const startTime = Date.now()
await generateText({
model,
prompt: "Say 'OK'",
maxOutputTokens: 20,
})
const responseTime = Date.now() - startTime
return NextResponse.json({
valid: true,
responseTime,
})
} catch (error) {
console.error("[validate-model] Error:", error)
let errorMessage = "Validation failed"
if (error instanceof Error) {
// Extract meaningful error message
if (
error.message.includes("401") ||
error.message.includes("Unauthorized")
) {
errorMessage = "Invalid API key"
} else if (
error.message.includes("404") ||
error.message.includes("not found")
) {
errorMessage = "Model not found"
} else if (
error.message.includes("429") ||
error.message.includes("rate limit")
) {
errorMessage = "Rate limited - try again later"
} else if (error.message.includes("ECONNREFUSED")) {
errorMessage = "Cannot connect to server"
} else {
errorMessage = error.message.slice(0, 100)
}
}
return NextResponse.json(
{ valid: false, error: errorMessage },
{ status: 200 }, // Return 200 so client can read error message
)
}
}

View File

@@ -1,32 +0,0 @@
export async function POST(req: Request) {
const accessCodes =
process.env.ACCESS_CODE_LIST?.split(",")
.map((code) => code.trim())
.filter(Boolean) || []
// If no access codes configured, verification always passes
if (accessCodes.length === 0) {
return Response.json({
valid: true,
message: "No access code required",
})
}
const accessCodeHeader = req.headers.get("x-access-code")
if (!accessCodeHeader) {
return Response.json(
{ valid: false, message: "Access code is required" },
{ status: 401 },
)
}
if (!accessCodes.includes(accessCodeHeader)) {
return Response.json(
{ valid: false, message: "Invalid access code" },
{ status: 401 },
)
}
return Response.json({ valid: true, message: "Access code is valid" })
}

View File

@@ -6,254 +6,250 @@
@custom-variant dark (&:is(.dark *));
@theme inline {
--color-background: var(--background);
--color-foreground: var(--foreground);
--font-sans: var(--font-sans);
--font-mono: var(--font-mono);
--color-sidebar-ring: var(--sidebar-ring);
--color-sidebar-border: var(--sidebar-border);
--color-sidebar-accent-foreground: var(--sidebar-accent-foreground);
--color-sidebar-accent: var(--sidebar-accent);
--color-sidebar-primary-foreground: var(--sidebar-primary-foreground);
--color-sidebar-primary: var(--sidebar-primary);
--color-sidebar-foreground: var(--sidebar-foreground);
--color-sidebar: var(--sidebar);
--color-chart-5: var(--chart-5);
--color-chart-4: var(--chart-4);
--color-chart-3: var(--chart-3);
--color-chart-2: var(--chart-2);
--color-chart-1: var(--chart-1);
--color-ring: var(--ring);
--color-input: var(--input);
--color-border: var(--border);
--color-destructive: var(--destructive);
--color-accent-foreground: var(--accent-foreground);
--color-accent: var(--accent);
--color-muted-foreground: var(--muted-foreground);
--color-muted: var(--muted);
--color-secondary-foreground: var(--secondary-foreground);
--color-secondary: var(--secondary);
--color-primary-foreground: var(--primary-foreground);
--color-primary: var(--primary);
--color-popover-foreground: var(--popover-foreground);
--color-popover: var(--popover);
--color-card-foreground: var(--card-foreground);
--color-card: var(--card);
--radius-sm: calc(var(--radius) - 4px);
--radius-md: calc(var(--radius) - 2px);
--radius-lg: var(--radius);
--radius-xl: calc(var(--radius) + 4px);
--color-background: var(--background);
--color-foreground: var(--foreground);
--font-sans: var(--font-sans);
--font-mono: var(--font-mono);
--color-sidebar-ring: var(--sidebar-ring);
--color-sidebar-border: var(--sidebar-border);
--color-sidebar-accent-foreground: var(--sidebar-accent-foreground);
--color-sidebar-accent: var(--sidebar-accent);
--color-sidebar-primary-foreground: var(--sidebar-primary-foreground);
--color-sidebar-primary: var(--sidebar-primary);
--color-sidebar-foreground: var(--sidebar-foreground);
--color-sidebar: var(--sidebar);
--color-chart-5: var(--chart-5);
--color-chart-4: var(--chart-4);
--color-chart-3: var(--chart-3);
--color-chart-2: var(--chart-2);
--color-chart-1: var(--chart-1);
--color-ring: var(--ring);
--color-input: var(--input);
--color-border: var(--border);
--color-destructive: var(--destructive);
--color-accent-foreground: var(--accent-foreground);
--color-accent: var(--accent);
--color-muted-foreground: var(--muted-foreground);
--color-muted: var(--muted);
--color-secondary-foreground: var(--secondary-foreground);
--color-secondary: var(--secondary);
--color-primary-foreground: var(--primary-foreground);
--color-primary: var(--primary);
--color-popover-foreground: var(--popover-foreground);
--color-popover: var(--popover);
--color-card-foreground: var(--card-foreground);
--color-card: var(--card);
--radius-sm: calc(var(--radius) - 4px);
--radius-md: calc(var(--radius) - 2px);
--radius-lg: var(--radius);
--radius-xl: calc(var(--radius) + 4px);
}
:root {
--radius: 0.75rem;
--radius: 0.75rem;
/* Clean Light Modern Palette */
--background: oklch(0.985 0.002 240);
--foreground: oklch(0.23 0.02 260);
/* Clean Light Modern Palette */
--background: oklch(0.985 0.002 240);
--foreground: oklch(0.23 0.02 260);
--card: oklch(1 0 0);
--card-foreground: oklch(0.23 0.02 260);
--card: oklch(1 0 0);
--card-foreground: oklch(0.23 0.02 260);
--popover: oklch(1 0 0);
--popover-foreground: oklch(0.23 0.02 260);
--popover: oklch(1 0 0);
--popover-foreground: oklch(0.23 0.02 260);
/* Dark primary - slightly lighter */
--primary: oklch(0.35 0.01 260);
--primary-foreground: oklch(0.99 0 0);
/* Dark primary - slightly lighter */
--primary: oklch(0.35 0.01 260);
--primary-foreground: oklch(0.99 0 0);
/* Warm gray secondary */
--secondary: oklch(0.96 0.005 260);
--secondary-foreground: oklch(0.35 0.02 260);
/* Warm gray secondary */
--secondary: oklch(0.96 0.005 260);
--secondary-foreground: oklch(0.35 0.02 260);
/* Light muted tones */
--muted: oklch(0.965 0.005 260);
--muted-foreground: oklch(0.5 0.02 260);
/* Light muted tones */
--muted: oklch(0.965 0.005 260);
--muted-foreground: oklch(0.50 0.02 260);
/* Soft lavender accent */
--accent: oklch(0.94 0.03 280);
--accent-foreground: oklch(0.35 0.08 270);
/* Soft lavender accent */
--accent: oklch(0.94 0.03 280);
--accent-foreground: oklch(0.35 0.08 270);
/* Coral destructive */
--destructive: oklch(0.6 0.2 25);
/* Coral destructive */
--destructive: oklch(0.60 0.20 25);
/* Subtle borders */
--border: oklch(0.92 0.01 260);
--input: oklch(0.94 0.01 260);
--ring: oklch(0.25 0.01 260);
/* Subtle borders */
--border: oklch(0.92 0.01 260);
--input: oklch(0.94 0.01 260);
--ring: oklch(0.25 0.01 260);
/* Chart colors - harmonious palette */
--chart-1: oklch(0.55 0.18 265);
--chart-2: oklch(0.65 0.15 170);
--chart-3: oklch(0.7 0.18 45);
--chart-4: oklch(0.6 0.2 330);
--chart-5: oklch(0.5 0.15 200);
/* Chart colors - harmonious palette */
--chart-1: oklch(0.55 0.18 265);
--chart-2: oklch(0.65 0.15 170);
--chart-3: oklch(0.70 0.18 45);
--chart-4: oklch(0.60 0.20 330);
--chart-5: oklch(0.50 0.15 200);
/* Sidebar */
--sidebar: oklch(0.99 0.002 260);
--sidebar-foreground: oklch(0.23 0.02 260);
--sidebar-primary: oklch(0.55 0.18 265);
--sidebar-primary-foreground: oklch(0.99 0 0);
--sidebar-accent: oklch(0.96 0.02 270);
--sidebar-accent-foreground: oklch(0.35 0.05 265);
--sidebar-border: oklch(0.93 0.01 260);
--sidebar-ring: oklch(0.55 0.18 265);
/* Sidebar */
--sidebar: oklch(0.99 0.002 260);
--sidebar-foreground: oklch(0.23 0.02 260);
--sidebar-primary: oklch(0.55 0.18 265);
--sidebar-primary-foreground: oklch(0.99 0 0);
--sidebar-accent: oklch(0.96 0.02 270);
--sidebar-accent-foreground: oklch(0.35 0.05 265);
--sidebar-border: oklch(0.93 0.01 260);
--sidebar-ring: oklch(0.55 0.18 265);
}
.dark {
--background: oklch(0.15 0.015 260);
--foreground: oklch(0.95 0.01 260);
--background: oklch(0.15 0.015 260);
--foreground: oklch(0.95 0.01 260);
--card: oklch(0.2 0.015 260);
--card-foreground: oklch(0.95 0.01 260);
--card: oklch(0.20 0.015 260);
--card-foreground: oklch(0.95 0.01 260);
--popover: oklch(0.2 0.015 260);
--popover-foreground: oklch(0.95 0.01 260);
--popover: oklch(0.20 0.015 260);
--popover-foreground: oklch(0.95 0.01 260);
--primary: oklch(0.7 0.16 265);
--primary-foreground: oklch(0.15 0.02 260);
--primary: oklch(0.70 0.16 265);
--primary-foreground: oklch(0.15 0.02 260);
--secondary: oklch(0.25 0.015 260);
--secondary-foreground: oklch(0.9 0.01 260);
--secondary: oklch(0.25 0.015 260);
--secondary-foreground: oklch(0.90 0.01 260);
--muted: oklch(0.25 0.015 260);
--muted-foreground: oklch(0.65 0.02 260);
--muted: oklch(0.25 0.015 260);
--muted-foreground: oklch(0.65 0.02 260);
--accent: oklch(0.3 0.04 280);
--accent-foreground: oklch(0.9 0.03 270);
--accent: oklch(0.30 0.04 280);
--accent-foreground: oklch(0.90 0.03 270);
--destructive: oklch(0.65 0.22 25);
--destructive: oklch(0.65 0.22 25);
--border: oklch(0.28 0.015 260);
--input: oklch(0.25 0.015 260);
--ring: oklch(0.7 0.16 265);
--border: oklch(0.28 0.015 260);
--input: oklch(0.25 0.015 260);
--ring: oklch(0.70 0.16 265);
--chart-1: oklch(0.7 0.16 265);
--chart-2: oklch(0.7 0.13 170);
--chart-3: oklch(0.75 0.16 45);
--chart-4: oklch(0.7 0.18 330);
--chart-5: oklch(0.6 0.13 200);
--chart-1: oklch(0.70 0.16 265);
--chart-2: oklch(0.70 0.13 170);
--chart-3: oklch(0.75 0.16 45);
--chart-4: oklch(0.70 0.18 330);
--chart-5: oklch(0.60 0.13 200);
--sidebar: oklch(0.18 0.015 260);
--sidebar-foreground: oklch(0.95 0.01 260);
--sidebar-primary: oklch(0.7 0.16 265);
--sidebar-primary-foreground: oklch(0.15 0.02 260);
--sidebar-accent: oklch(0.25 0.03 270);
--sidebar-accent-foreground: oklch(0.9 0.02 265);
--sidebar-border: oklch(0.28 0.015 260);
--sidebar-ring: oklch(0.7 0.16 265);
--sidebar: oklch(0.18 0.015 260);
--sidebar-foreground: oklch(0.95 0.01 260);
--sidebar-primary: oklch(0.70 0.16 265);
--sidebar-primary-foreground: oklch(0.15 0.02 260);
--sidebar-accent: oklch(0.25 0.03 270);
--sidebar-accent-foreground: oklch(0.90 0.02 265);
--sidebar-border: oklch(0.28 0.015 260);
--sidebar-ring: oklch(0.70 0.16 265);
}
@layer base {
* {
@apply border-border outline-ring/50;
}
body {
@apply bg-background text-foreground font-sans;
}
* {
@apply border-border outline-ring/50;
}
body {
@apply bg-background text-foreground font-sans;
}
}
/* Fix for Radix ScrollArea viewport horizontal overflow */
[data-slot="scroll-area-viewport"] > div {
display: block !important;
width: 100% !important;
display: block !important;
width: 100% !important;
}
/* Custom scrollbar */
@layer utilities {
.scrollbar-thin {
scrollbar-width: thin;
scrollbar-color: oklch(0.85 0.01 260) transparent;
}
.scrollbar-thin {
scrollbar-width: thin;
scrollbar-color: oklch(0.85 0.01 260) transparent;
}
.scrollbar-thin::-webkit-scrollbar {
width: 6px;
}
.scrollbar-thin::-webkit-scrollbar {
width: 6px;
}
.scrollbar-thin::-webkit-scrollbar-track {
background: transparent;
}
.scrollbar-thin::-webkit-scrollbar-track {
background: transparent;
}
.scrollbar-thin::-webkit-scrollbar-thumb {
background-color: oklch(0.85 0.01 260);
border-radius: 3px;
}
.scrollbar-thin::-webkit-scrollbar-thumb {
background-color: oklch(0.85 0.01 260);
border-radius: 3px;
}
.scrollbar-thin::-webkit-scrollbar-thumb:hover {
background-color: oklch(0.75 0.01 260);
}
.scrollbar-thin::-webkit-scrollbar-thumb:hover {
background-color: oklch(0.75 0.01 260);
}
}
/* Smooth page transitions */
@keyframes fadeIn {
from {
opacity: 0;
transform: translateY(8px);
}
to {
opacity: 1;
transform: translateY(0);
}
from {
opacity: 0;
transform: translateY(8px);
}
to {
opacity: 1;
transform: translateY(0);
}
}
@keyframes slideInRight {
from {
opacity: 0;
transform: translateX(16px);
}
to {
opacity: 1;
transform: translateX(0);
}
from {
opacity: 0;
transform: translateX(16px);
}
to {
opacity: 1;
transform: translateX(0);
}
}
.animate-fade-in {
animation: fadeIn 0.3s ease-out forwards;
animation: fadeIn 0.3s ease-out forwards;
}
.animate-slide-in-right {
animation: slideInRight 0.3s ease-out forwards;
animation: slideInRight 0.3s ease-out forwards;
}
/* Message bubble animations */
@keyframes messageIn {
from {
opacity: 0;
transform: translateY(12px) scale(0.98);
}
to {
opacity: 1;
transform: translateY(0) scale(1);
}
from {
opacity: 0;
transform: translateY(12px) scale(0.98);
}
to {
opacity: 1;
transform: translateY(0) scale(1);
}
}
.animate-message-in {
animation: messageIn 0.25s ease-out forwards;
animation: messageIn 0.25s ease-out forwards;
}
/* Subtle floating shadow for cards */
.shadow-soft {
box-shadow:
0 1px 2px oklch(0.23 0.02 260 / 0.04),
0 4px 12px oklch(0.23 0.02 260 / 0.06),
0 8px 24px oklch(0.23 0.02 260 / 0.04);
box-shadow:
0 1px 2px oklch(0.23 0.02 260 / 0.04),
0 4px 12px oklch(0.23 0.02 260 / 0.06),
0 8px 24px oklch(0.23 0.02 260 / 0.04);
}
.shadow-soft-lg {
box-shadow:
0 2px 4px oklch(0.23 0.02 260 / 0.04),
0 8px 20px oklch(0.23 0.02 260 / 0.08),
0 16px 40px oklch(0.23 0.02 260 / 0.06);
box-shadow:
0 2px 4px oklch(0.23 0.02 260 / 0.04),
0 8px 20px oklch(0.23 0.02 260 / 0.08),
0 16px 40px oklch(0.23 0.02 260 / 0.06);
}
/* Gradient text utility */
.text-gradient-primary {
background: linear-gradient(
135deg,
oklch(0.55 0.18 265),
oklch(0.6 0.2 290)
);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
background-clip: text;
background: linear-gradient(135deg, oklch(0.55 0.18 265), oklch(0.60 0.20 290));
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
background-clip: text;
}

113
app/layout.tsx Normal file
View File

@@ -0,0 +1,113 @@
import type { Metadata, Viewport } from "next";
import { Plus_Jakarta_Sans, JetBrains_Mono } from "next/font/google";
import { Analytics } from "@vercel/analytics/react";
import { GoogleAnalytics } from "@next/third-parties/google";
import { DiagramProvider } from "@/contexts/diagram-context";
import "./globals.css";
const plusJakarta = Plus_Jakarta_Sans({
variable: "--font-sans",
subsets: ["latin"],
weight: ["400", "500", "600", "700"],
});
const jetbrainsMono = JetBrains_Mono({
variable: "--font-mono",
subsets: ["latin"],
weight: ["400", "500"],
});
export const viewport: Viewport = {
width: "device-width",
initialScale: 1,
maximumScale: 1,
userScalable: false,
};
export const metadata: Metadata = {
title: "Next AI Draw.io - AI-Powered Diagram Generator",
description: "Create AWS architecture diagrams, flowcharts, and technical diagrams using AI. Free online tool integrating draw.io with AI assistance for professional diagram creation.",
keywords: ["AI diagram generator", "AWS architecture", "flowchart creator", "draw.io", "AI drawing tool", "technical diagrams", "diagram automation", "free diagram generator", "online diagram maker"],
authors: [{ name: "Next AI Draw.io" }],
creator: "Next AI Draw.io",
publisher: "Next AI Draw.io",
metadataBase: new URL("https://next-ai-drawio.jiang.jp"),
openGraph: {
title: "Next AI Draw.io - AI Diagram Generator",
description: "Create professional diagrams with AI assistance. Supports AWS architecture, flowcharts, and more.",
type: "website",
url: "https://next-ai-drawio.jiang.jp",
siteName: "Next AI Draw.io",
locale: "en_US",
images: [
{
url: "/architecture.png",
width: 1200,
height: 630,
alt: "Next AI Draw.io - AI-powered diagram creation tool",
},
],
},
twitter: {
card: "summary_large_image",
title: "Next AI Draw.io - AI Diagram Generator",
description: "Create professional diagrams with AI assistance. Free, no login required.",
images: ["/architecture.png"],
},
robots: {
index: true,
follow: true,
googleBot: {
index: true,
follow: true,
"max-video-preview": -1,
"max-image-preview": "large",
"max-snippet": -1,
},
},
icons: {
icon: "/favicon.ico",
},
};
export default function RootLayout({
children,
}: Readonly<{
children: React.ReactNode;
}>) {
const jsonLd = {
'@context': 'https://schema.org',
'@type': 'SoftwareApplication',
name: 'Next AI Draw.io',
applicationCategory: 'DesignApplication',
operatingSystem: 'Web Browser',
description: 'AI-powered diagram generator with targeted XML editing capabilities that integrates with draw.io for creating AWS architecture diagrams, flowcharts, and technical diagrams. Features diagram history, multi-provider AI support, and real-time collaboration.',
url: 'https://next-ai-drawio.jiang.jp',
offers: {
'@type': 'Offer',
price: '0',
priceCurrency: 'USD',
},
};
return (
<html lang="en">
<head>
<script
type="application/ld+json"
dangerouslySetInnerHTML={{ __html: JSON.stringify(jsonLd) }}
/>
</head>
<body
className={`${plusJakarta.variable} ${jetbrainsMono.variable} antialiased`}
>
<DiagramProvider>{children}</DiagramProvider>
<Analytics />
</body>
{process.env.NEXT_PUBLIC_GA_ID && (
<GoogleAnalytics gaId={process.env.NEXT_PUBLIC_GA_ID} />
)}
</html>
);
}

View File

@@ -1,28 +0,0 @@
import type { MetadataRoute } from "next"
import { getAssetUrl } from "@/lib/base-path"
export default function manifest(): MetadataRoute.Manifest {
return {
name: "Next AI Draw.io",
short_name: "AIDraw.io",
description:
"Create AWS architecture diagrams, flowcharts, and technical diagrams using AI. Free online tool integrating draw.io with AI assistance for professional diagram creation.",
start_url: getAssetUrl("/"),
display: "standalone",
background_color: "#f9fafb",
theme_color: "#171d26",
icons: [
{
src: getAssetUrl("/favicon-192x192.png"),
sizes: "192x192",
type: "image/png",
purpose: "any",
},
{
src: getAssetUrl("/favicon-512x512.png"),
sizes: "512x512",
type: "image/png",
purpose: "any",
},
],
}
}

131
app/page.tsx Normal file
View File

@@ -0,0 +1,131 @@
"use client";
import React, { useState, useEffect, useRef } from "react";
import { DrawIoEmbed } from "react-drawio";
import ChatPanel from "@/components/chat-panel";
import { useDiagram } from "@/contexts/diagram-context";
import {
ResizablePanelGroup,
ResizablePanel,
ResizableHandle,
} from "@/components/ui/resizable";
import type { ImperativePanelHandle } from "react-resizable-panels";
export default function Home() {
const { drawioRef, handleDiagramExport } = useDiagram();
const [isMobile, setIsMobile] = useState(false);
const [isChatVisible, setIsChatVisible] = useState(true);
const [drawioUi, setDrawioUi] = useState<"min" | "sketch">(() => {
if (typeof window !== "undefined") {
const saved = localStorage.getItem("drawio-theme");
if (saved === "min" || saved === "sketch") return saved;
}
return "min";
});
const chatPanelRef = useRef<ImperativePanelHandle>(null);
useEffect(() => {
const checkMobile = () => {
setIsMobile(window.innerWidth < 768);
};
checkMobile();
window.addEventListener("resize", checkMobile);
return () => window.removeEventListener("resize", checkMobile);
}, []);
const toggleChatPanel = () => {
const panel = chatPanelRef.current;
if (panel) {
if (panel.isCollapsed()) {
panel.expand();
setIsChatVisible(true);
} else {
panel.collapse();
setIsChatVisible(false);
}
}
};
useEffect(() => {
const handleKeyDown = (event: KeyboardEvent) => {
if ((event.ctrlKey || event.metaKey) && event.key === "b") {
event.preventDefault();
toggleChatPanel();
}
};
window.addEventListener("keydown", handleKeyDown);
return () => window.removeEventListener("keydown", handleKeyDown);
}, []);
// Show confirmation dialog when user tries to leave the page
// This helps prevent accidental navigation from browser back gestures
useEffect(() => {
const handleBeforeUnload = (event: BeforeUnloadEvent) => {
event.preventDefault();
return "";
};
window.addEventListener("beforeunload", handleBeforeUnload);
return () =>
window.removeEventListener("beforeunload", handleBeforeUnload);
}, []);
return (
<div className="h-screen bg-background relative overflow-hidden">
<ResizablePanelGroup
key={isMobile ? "mobile" : "desktop"}
direction={isMobile ? "vertical" : "horizontal"}
className="h-full"
>
{/* Draw.io Canvas */}
<ResizablePanel defaultSize={isMobile ? 50 : 67} minSize={20}>
<div className={`h-full relative ${isMobile ? "p-1" : "p-2"}`}>
<div className="h-full rounded-xl overflow-hidden shadow-soft-lg border border-border/30 bg-white">
<DrawIoEmbed
key={drawioUi}
ref={drawioRef}
onExport={handleDiagramExport}
urlParameters={{
ui: drawioUi,
spin: true,
libraries: false,
saveAndExit: false,
noExitBtn: true,
}}
/>
</div>
</div>
</ResizablePanel>
<ResizableHandle withHandle />
{/* Chat Panel */}
<ResizablePanel
ref={chatPanelRef}
defaultSize={isMobile ? 50 : 33}
minSize={isMobile ? 20 : 15}
maxSize={isMobile ? 80 : 50}
collapsible={!isMobile}
collapsedSize={isMobile ? 0 : 3}
onCollapse={() => setIsChatVisible(false)}
onExpand={() => setIsChatVisible(true)}
>
<div className={`h-full ${isMobile ? "p-1" : "py-2 pr-2"}`}>
<ChatPanel
isVisible={isChatVisible}
onToggleVisibility={toggleChatPanel}
drawioUi={drawioUi}
onToggleDrawioUi={() => {
const newTheme = drawioUi === "min" ? "sketch" : "min";
localStorage.setItem("drawio-theme", newTheme);
setDrawioUi(newTheme);
}}
isMobile={isMobile}
/>
</div>
</ResizablePanel>
</ResizablePanelGroup>
</div>
);
}

View File

@@ -1,12 +1,12 @@
import type { MetadataRoute } from "next"
import { MetadataRoute } from 'next'
export default function robots(): MetadataRoute.Robots {
return {
rules: {
userAgent: "*",
allow: "/",
disallow: "/api/",
userAgent: '*',
allow: '/',
disallow: '/api/',
},
sitemap: "https://next-ai-drawio.jiang.jp/sitemap.xml",
sitemap: 'https://next-ai-drawio.jiang.jp/sitemap.xml',
}
}

View File

@@ -1,17 +1,17 @@
import type { MetadataRoute } from "next"
import { MetadataRoute } from 'next'
export default function sitemap(): MetadataRoute.Sitemap {
return [
{
url: "https://next-ai-drawio.jiang.jp",
url: 'https://next-ai-drawio.jiang.jp',
lastModified: new Date(),
changeFrequency: "weekly",
changeFrequency: 'weekly',
priority: 1,
},
{
url: "https://next-ai-drawio.jiang.jp/about",
url: 'https://next-ai-drawio.jiang.jp/about',
lastModified: new Date(),
changeFrequency: "monthly",
changeFrequency: 'monthly',
priority: 0.8,
},
]

View File

@@ -1,83 +0,0 @@
{
"$schema": "https://biomejs.dev/schemas/2.3.8/schema.json",
"vcs": {
"enabled": true,
"clientKind": "git",
"useIgnoreFile": true
},
"files": {
"ignoreUnknown": false
},
"formatter": {
"enabled": true,
"indentStyle": "space",
"indentWidth": 4
},
"linter": {
"enabled": true,
"rules": {
"recommended": true,
"complexity": {
"noImportantStyles": "off"
},
"suspicious": {
"noExplicitAny": "off",
"noArrayIndexKey": "off",
"noImplicitAnyLet": "off",
"noAssignInExpressions": "off"
},
"a11y": {
"useButtonType": "off",
"noAutofocus": "off",
"noStaticElementInteractions": "off",
"useKeyWithClickEvents": "off",
"noLabelWithoutControl": "off",
"noNoninteractiveTabindex": "off"
},
"correctness": {
"useExhaustiveDependencies": "off"
},
"style": {
"useNodejsImportProtocol": "off",
"useTemplate": "off"
},
"security": {
"noDangerouslySetInnerHtml": "off"
}
}
},
"javascript": {
"formatter": {
"quoteStyle": "double",
"semicolons": "asNeeded"
}
},
"css": {
"parser": {
"cssModules": true,
"tailwindDirectives": true
}
},
"assist": {
"enabled": true,
"actions": {
"source": {
"organizeImports": "on"
}
}
},
"overrides": [
{
"includes": ["components/ui/**"],
"formatter": {
"enabled": false
},
"linter": {
"enabled": false
},
"assist": {
"enabled": false
}
}
]
}

View File

@@ -1,21 +1,21 @@
{
"$schema": "https://ui.shadcn.com/schema.json",
"style": "new-york",
"rsc": true,
"tsx": true,
"tailwind": {
"config": "",
"css": "app/globals.css",
"baseColor": "neutral",
"cssVariables": true,
"prefix": ""
},
"aliases": {
"components": "@/components",
"utils": "@/lib/utils",
"ui": "@/components/ui",
"lib": "@/lib",
"hooks": "@/hooks"
},
"iconLibrary": "lucide"
}
"$schema": "https://ui.shadcn.com/schema.json",
"style": "new-york",
"rsc": true,
"tsx": true,
"tailwind": {
"config": "",
"css": "app/globals.css",
"baseColor": "neutral",
"cssVariables": true,
"prefix": ""
},
"aliases": {
"components": "@/components",
"utils": "@/lib/utils",
"ui": "@/components/ui",
"lib": "@/lib",
"hooks": "@/hooks"
},
"iconLibrary": "lucide"
}

View File

@@ -1,156 +0,0 @@
import { Cloud } from "lucide-react"
import type { ComponentProps, ReactNode } from "react"
import {
Command,
CommandDialog,
CommandEmpty,
CommandGroup,
CommandInput,
CommandItem,
CommandList,
CommandSeparator,
CommandShortcut,
} from "@/components/ui/command"
import {
Dialog,
DialogContent,
DialogTitle,
DialogTrigger,
} from "@/components/ui/dialog"
import { cn } from "@/lib/utils"
export type ModelSelectorProps = ComponentProps<typeof Dialog>
export const ModelSelector = (props: ModelSelectorProps) => (
<Dialog {...props} />
)
export type ModelSelectorTriggerProps = ComponentProps<typeof DialogTrigger>
export const ModelSelectorTrigger = (props: ModelSelectorTriggerProps) => (
<DialogTrigger {...props} />
)
export type ModelSelectorContentProps = ComponentProps<typeof DialogContent> & {
title?: ReactNode
}
export const ModelSelectorContent = ({
className,
children,
title = "Model Selector",
...props
}: ModelSelectorContentProps) => (
<DialogContent className={cn("p-0", className)} {...props}>
<DialogTitle className="sr-only">{title}</DialogTitle>
<Command className="**:data-[slot=command-input-wrapper]:h-auto">
{children}
</Command>
</DialogContent>
)
export type ModelSelectorDialogProps = ComponentProps<typeof CommandDialog>
export const ModelSelectorDialog = (props: ModelSelectorDialogProps) => (
<CommandDialog {...props} />
)
export type ModelSelectorInputProps = ComponentProps<typeof CommandInput>
export const ModelSelectorInput = ({
className,
...props
}: ModelSelectorInputProps) => (
<CommandInput className={cn("h-auto py-3.5", className)} {...props} />
)
export type ModelSelectorListProps = ComponentProps<typeof CommandList>
export const ModelSelectorList = (props: ModelSelectorListProps) => (
<CommandList {...props} />
)
export type ModelSelectorEmptyProps = ComponentProps<typeof CommandEmpty>
export const ModelSelectorEmpty = (props: ModelSelectorEmptyProps) => (
<CommandEmpty {...props} />
)
export type ModelSelectorGroupProps = ComponentProps<typeof CommandGroup>
export const ModelSelectorGroup = (props: ModelSelectorGroupProps) => (
<CommandGroup {...props} />
)
export type ModelSelectorItemProps = ComponentProps<typeof CommandItem>
export const ModelSelectorItem = (props: ModelSelectorItemProps) => (
<CommandItem {...props} />
)
export type ModelSelectorShortcutProps = ComponentProps<typeof CommandShortcut>
export const ModelSelectorShortcut = (props: ModelSelectorShortcutProps) => (
<CommandShortcut {...props} />
)
export type ModelSelectorSeparatorProps = ComponentProps<
typeof CommandSeparator
>
export const ModelSelectorSeparator = (props: ModelSelectorSeparatorProps) => (
<CommandSeparator {...props} />
)
export type ModelSelectorLogoProps = Omit<
ComponentProps<"img">,
"src" | "alt"
> & {
provider: string
}
export const ModelSelectorLogo = ({
provider,
className,
...props
}: ModelSelectorLogoProps) => {
// Use Lucide icon for bedrock since models.dev doesn't have a good AWS icon
if (provider === "amazon-bedrock") {
return <Cloud className={cn("size-4", className)} />
}
return (
<img
{...props}
alt={`${provider} logo`}
className={cn("size-4 dark:invert", className)}
height={16}
src={`https://models.dev/logos/${provider}.svg`}
width={16}
/>
)
}
export type ModelSelectorLogoGroupProps = ComponentProps<"div">
export const ModelSelectorLogoGroup = ({
className,
...props
}: ModelSelectorLogoGroupProps) => (
<div
className={cn(
"-space-x-1 flex shrink-0 items-center [&>img]:rounded-full [&>img]:bg-background [&>img]:p-px [&>img]:ring-1 dark:[&>img]:bg-foreground",
className,
)}
{...props}
/>
)
export type ModelSelectorNameProps = ComponentProps<"span">
export const ModelSelectorName = ({
className,
...props
}: ModelSelectorNameProps) => (
<span className={cn("flex-1 truncate text-left", className)} {...props} />
)

View File

@@ -1,186 +0,0 @@
"use client"
import { useControllableState } from "@radix-ui/react-use-controllable-state"
import { BrainIcon, ChevronDownIcon } from "lucide-react"
import type { ComponentProps, ReactNode } from "react"
import { createContext, memo, useContext, useEffect, useState } from "react"
import {
Collapsible,
CollapsibleContent,
CollapsibleTrigger,
} from "@/components/ui/collapsible"
import { cn } from "@/lib/utils"
import { Shimmer } from "./shimmer"
type ReasoningContextValue = {
isStreaming: boolean
isOpen: boolean
setIsOpen: (open: boolean) => void
duration: number | undefined
}
const ReasoningContext = createContext<ReasoningContextValue | null>(null)
export const useReasoning = () => {
const context = useContext(ReasoningContext)
if (!context) {
throw new Error("Reasoning components must be used within Reasoning")
}
return context
}
export type ReasoningProps = ComponentProps<typeof Collapsible> & {
isStreaming?: boolean
open?: boolean
defaultOpen?: boolean
onOpenChange?: (open: boolean) => void
duration?: number
}
const AUTO_CLOSE_DELAY = 1000
const MS_IN_S = 1000
export const Reasoning = memo(
({
className,
isStreaming = false,
open,
defaultOpen = true,
onOpenChange,
duration: durationProp,
children,
...props
}: ReasoningProps) => {
const [isOpen, setIsOpen] = useControllableState({
prop: open,
defaultProp: defaultOpen,
onChange: onOpenChange,
})
const [duration, setDuration] = useControllableState({
prop: durationProp,
defaultProp: undefined,
})
const [hasAutoClosed, setHasAutoClosed] = useState(false)
const [startTime, setStartTime] = useState<number | null>(null)
// Track duration when streaming starts and ends
useEffect(() => {
if (isStreaming) {
if (startTime === null) {
setStartTime(Date.now())
}
} else if (startTime !== null) {
setDuration(Math.ceil((Date.now() - startTime) / MS_IN_S))
setStartTime(null)
}
}, [isStreaming, startTime, setDuration])
// Auto-open when streaming starts, auto-close when streaming ends (once only)
useEffect(() => {
if (defaultOpen && !isStreaming && isOpen && !hasAutoClosed) {
// Add a small delay before closing to allow user to see the content
const timer = setTimeout(() => {
setIsOpen(false)
setHasAutoClosed(true)
}, AUTO_CLOSE_DELAY)
return () => clearTimeout(timer)
}
}, [isStreaming, isOpen, defaultOpen, setIsOpen, hasAutoClosed])
const handleOpenChange = (newOpen: boolean) => {
setIsOpen(newOpen)
}
return (
<ReasoningContext.Provider
value={{ isStreaming, isOpen, setIsOpen, duration }}
>
<Collapsible
className={cn("not-prose mb-4", className)}
onOpenChange={handleOpenChange}
open={isOpen}
{...props}
>
{children}
</Collapsible>
</ReasoningContext.Provider>
)
},
)
export type ReasoningTriggerProps = ComponentProps<
typeof CollapsibleTrigger
> & {
getThinkingMessage?: (isStreaming: boolean, duration?: number) => ReactNode
}
const defaultGetThinkingMessage = (isStreaming: boolean, duration?: number) => {
if (isStreaming || duration === 0) {
return <Shimmer duration={1}>Thinking...</Shimmer>
}
if (duration === undefined) {
return <p>Thought for a few seconds</p>
}
return <p>Thought for {duration} seconds</p>
}
export const ReasoningTrigger = memo(
({
className,
children,
getThinkingMessage = defaultGetThinkingMessage,
...props
}: ReasoningTriggerProps) => {
const { isStreaming, isOpen, duration } = useReasoning()
return (
<CollapsibleTrigger
className={cn(
"flex w-full items-center gap-2 text-muted-foreground text-sm transition-colors hover:text-foreground",
className,
)}
{...props}
>
{children ?? (
<>
<BrainIcon className="size-4" />
{getThinkingMessage(isStreaming, duration)}
<ChevronDownIcon
className={cn(
"size-4 transition-transform",
isOpen ? "rotate-180" : "rotate-0",
)}
/>
</>
)}
</CollapsibleTrigger>
)
},
)
export type ReasoningContentProps = ComponentProps<
typeof CollapsibleContent
> & {
children: string
}
export const ReasoningContent = memo(
({ className, children, ...props }: ReasoningContentProps) => (
<CollapsibleContent
className={cn(
"mt-4 text-sm",
"data-[state=closed]:fade-out-0 data-[state=closed]:slide-out-to-top-2 data-[state=open]:slide-in-from-top-2 text-muted-foreground outline-none data-[state=closed]:animate-out data-[state=open]:animate-in",
className,
)}
{...props}
>
<div className="whitespace-pre-wrap">{children}</div>
</CollapsibleContent>
),
)
Reasoning.displayName = "Reasoning"
ReasoningTrigger.displayName = "ReasoningTrigger"
ReasoningContent.displayName = "ReasoningContent"

View File

@@ -1,64 +0,0 @@
"use client"
import { motion } from "motion/react"
import {
type CSSProperties,
type ElementType,
type JSX,
memo,
useMemo,
} from "react"
import { cn } from "@/lib/utils"
export type TextShimmerProps = {
children: string
as?: ElementType
className?: string
duration?: number
spread?: number
}
const ShimmerComponent = ({
children,
as: Component = "p",
className,
duration = 2,
spread = 2,
}: TextShimmerProps) => {
const MotionComponent = motion.create(
Component as keyof JSX.IntrinsicElements,
)
const dynamicSpread = useMemo(
() => (children?.length ?? 0) * spread,
[children, spread],
)
return (
<MotionComponent
animate={{ backgroundPosition: "0% center" }}
className={cn(
"relative inline-block bg-[length:250%_100%,auto] bg-clip-text text-transparent",
"[--bg:linear-gradient(90deg,#0000_calc(50%-var(--spread)),var(--color-background),#0000_calc(50%+var(--spread)))] [background-repeat:no-repeat,padding-box]",
className,
)}
initial={{ backgroundPosition: "100% center" }}
style={
{
"--spread": `${dynamicSpread}px`,
backgroundImage:
"var(--bg), linear-gradient(var(--color-muted-foreground), var(--color-muted-foreground))",
} as CSSProperties
}
transition={{
repeat: Number.POSITIVE_INFINITY,
duration,
ease: "linear",
}}
>
{children}
</MotionComponent>
)
}
export const Shimmer = memo(ShimmerComponent)

View File

@@ -1,19 +1,19 @@
import type { VariantProps } from "class-variance-authority"
import type React from "react"
import { Button, type buttonVariants } from "@/components/ui/button"
import React from "react";
import { Button, buttonVariants } from "@/components/ui/button";
import {
Tooltip,
TooltipContent,
TooltipProvider,
TooltipTrigger,
} from "@/components/ui/tooltip"
} from "@/components/ui/tooltip";
import { type VariantProps } from "class-variance-authority";
interface ButtonWithTooltipProps
extends React.ComponentProps<"button">,
VariantProps<typeof buttonVariants> {
tooltipContent: string
children: React.ReactNode
asChild?: boolean
tooltipContent: string;
children: React.ReactNode;
asChild?: boolean;
}
export function ButtonWithTooltip({
@@ -27,10 +27,8 @@ export function ButtonWithTooltip({
<TooltipTrigger asChild>
<Button {...buttonProps}>{children}</Button>
</TooltipTrigger>
<TooltipContent className="max-w-xs text-wrap">
{tooltipContent}
</TooltipContent>
<TooltipContent className="max-w-xs text-wrap">{tooltipContent}</TooltipContent>
</Tooltip>
</TooltipProvider>
)
);
}

View File

@@ -1,208 +1,119 @@
"use client"
"use client";
import {
Cloud,
FileText,
GitBranch,
Palette,
Terminal,
Zap,
} from "lucide-react"
import { useDictionary } from "@/hooks/use-dictionary"
import { getAssetUrl } from "@/lib/base-path"
import { Zap, Cloud, GitBranch, Palette } from "lucide-react";
interface ExampleCardProps {
icon: React.ReactNode
title: string
description: string
onClick: () => void
isNew?: boolean
icon: React.ReactNode;
title: string;
description: string;
onClick: () => void;
}
function ExampleCard({
icon,
title,
description,
onClick,
isNew,
}: ExampleCardProps) {
const dict = useDictionary()
function ExampleCard({ icon, title, description, onClick }: ExampleCardProps) {
return (
<button
onClick={onClick}
className={`group w-full text-left p-4 rounded-xl border bg-card hover:bg-accent/50 hover:border-primary/30 transition-all duration-200 hover:shadow-sm ${
isNew
? "border-primary/40 ring-1 ring-primary/20"
: "border-border/60"
}`}
className="group w-full text-left p-4 rounded-xl border border-border/60 bg-card hover:bg-accent/50 hover:border-primary/30 transition-all duration-200 hover:shadow-sm"
>
<div className="flex items-start gap-3">
<div
className={`w-9 h-9 rounded-lg flex items-center justify-center shrink-0 transition-colors ${
isNew
? "bg-primary/20 group-hover:bg-primary/25"
: "bg-primary/10 group-hover:bg-primary/15"
}`}
>
<div className="w-9 h-9 rounded-lg bg-primary/10 flex items-center justify-center shrink-0 group-hover:bg-primary/15 transition-colors">
{icon}
</div>
<div className="min-w-0">
<div className="flex items-center gap-2">
<h3 className="text-sm font-medium text-foreground group-hover:text-primary transition-colors">
{title}
</h3>
{isNew && (
<span className="px-1.5 py-0.5 text-[10px] font-semibold bg-primary text-primary-foreground rounded">
{dict.common.new}
</span>
)}
</div>
<h3 className="text-sm font-medium text-foreground group-hover:text-primary transition-colors">
{title}
</h3>
<p className="text-xs text-muted-foreground mt-0.5 line-clamp-2">
{description}
</p>
</div>
</div>
</button>
)
);
}
export default function ExamplePanel({
setInput,
setFiles,
}: {
setInput: (input: string) => void
setFiles: (files: File[]) => void
setInput: (input: string) => void;
setFiles: (files: File[]) => void;
}) {
const dict = useDictionary()
const handleReplicateFlowchart = async () => {
setInput("Replicate this flowchart.")
setInput("Replicate this flowchart.");
try {
const response = await fetch(getAssetUrl("/example.png"))
const blob = await response.blob()
const file = new File([blob], "example.png", { type: "image/png" })
setFiles([file])
const response = await fetch("/example.png");
const blob = await response.blob();
const file = new File([blob], "example.png", { type: "image/png" });
setFiles([file]);
} catch (error) {
console.error(dict.errors.failedToLoadExample, error)
console.error("Error loading example image:", error);
}
}
};
const handleReplicateArchitecture = async () => {
setInput("Replicate this in aws style")
setInput("Replicate this in aws style");
try {
const response = await fetch(getAssetUrl("/architecture.png"))
const blob = await response.blob()
const response = await fetch("/architecture.png");
const blob = await response.blob();
const file = new File([blob], "architecture.png", {
type: "image/png",
})
setFiles([file])
});
setFiles([file]);
} catch (error) {
console.error(dict.errors.failedToLoadExample, error)
console.error("Error loading architecture image:", error);
}
}
const handlePdfExample = async () => {
setInput("Summarize this paper as a diagram")
try {
const response = await fetch(getAssetUrl("/chain-of-thought.txt"))
const blob = await response.blob()
const file = new File([blob], "chain-of-thought.txt", {
type: "text/plain",
})
setFiles([file])
} catch (error) {
console.error(dict.errors.failedToLoadExample, error)
}
}
};
return (
<div className="py-6 px-2 animate-fade-in">
{/* MCP Server Notice */}
<a
href="https://github.com/DayuanJiang/next-ai-draw-io/tree/main/packages/mcp-server"
target="_blank"
rel="noopener noreferrer"
className="block mb-4 p-3 rounded-xl bg-gradient-to-r from-purple-500/10 to-blue-500/10 border border-purple-500/20 hover:border-purple-500/40 transition-colors group"
>
<div className="flex items-center gap-3">
<div className="w-8 h-8 rounded-lg bg-purple-500/20 flex items-center justify-center shrink-0">
<Terminal className="w-4 h-4 text-purple-500" />
</div>
<div className="min-w-0">
<div className="flex items-center gap-2">
<span className="text-sm font-medium text-foreground group-hover:text-purple-500 transition-colors">
{dict.examples.mcpServer}
</span>
<span className="px-1.5 py-0.5 text-[10px] font-semibold bg-purple-500 text-white rounded">
{dict.examples.preview}
</span>
</div>
<p className="text-xs text-muted-foreground">
{dict.examples.mcpDescription}
</p>
</div>
</div>
</a>
{/* Welcome section */}
<div className="text-center mb-6">
<h2 className="text-lg font-semibold text-foreground mb-2">
{dict.examples.title}
Create diagrams with AI
</h2>
<p className="text-sm text-muted-foreground max-w-xs mx-auto">
{dict.examples.subtitle}
Describe what you want to create or upload an image to replicate
</p>
</div>
{/* Examples grid */}
<div className="space-y-3">
<p className="text-xs font-medium text-muted-foreground uppercase tracking-wider px-1">
{dict.examples.quickExamples}
Quick Examples
</p>
<div className="grid gap-2">
<ExampleCard
icon={<FileText className="w-4 h-4 text-primary" />}
title={dict.examples.paperToDiagram}
description={dict.examples.paperDescription}
onClick={handlePdfExample}
isNew
/>
<ExampleCard
icon={<Zap className="w-4 h-4 text-primary" />}
title={dict.examples.animatedDiagram}
description={dict.examples.animatedDescription}
title="Animated Diagram"
description="Draw a transformer architecture with animated connectors"
onClick={() => {
setInput(
"Give me a **animated connector** diagram of transformer's architecture",
)
setInput("Give me a **animated connector** diagram of transformer's architecture")
setFiles([])
}}
/>
<ExampleCard
icon={<Cloud className="w-4 h-4 text-primary" />}
title={dict.examples.awsArchitecture}
description={dict.examples.awsDescription}
title="AWS Architecture"
description="Create a cloud architecture diagram with AWS icons"
onClick={handleReplicateArchitecture}
/>
<ExampleCard
icon={<GitBranch className="w-4 h-4 text-primary" />}
title={dict.examples.replicateFlowchart}
description={dict.examples.replicateDescription}
title="Replicate Flowchart"
description="Upload and replicate an existing flowchart"
onClick={handleReplicateFlowchart}
/>
<ExampleCard
icon={<Palette className="w-4 h-4 text-primary" />}
title={dict.examples.creativeDrawing}
description={dict.examples.creativeDescription}
title="Creative Drawing"
description="Draw something fun and creative"
onClick={() => {
setInput("Draw a cat for me")
setFiles([])
@@ -211,9 +122,9 @@ export default function ExamplePanel({
</div>
<p className="text-[11px] text-muted-foreground/60 text-center mt-4">
{dict.examples.cachedNote}
Examples are cached for instant response
</p>
</div>
</div>
)
);
}

View File

@@ -1,168 +1,114 @@
"use client"
"use client";
import React, { useCallback, useRef, useEffect, useState } from "react";
import { Button } from "@/components/ui/button";
import { Textarea } from "@/components/ui/textarea";
import { ResetWarningModal } from "@/components/reset-warning-modal";
import { SaveDialog } from "@/components/save-dialog";
import {
Dialog,
DialogContent,
DialogDescription,
DialogFooter,
DialogHeader,
DialogTitle,
} from "@/components/ui/dialog";
import {
Download,
History,
Image as ImageIcon,
Loader2,
Send,
Trash2,
} from "lucide-react"
import type React from "react"
import { useCallback, useEffect, useRef, useState } from "react"
import { toast } from "sonner"
import { ButtonWithTooltip } from "@/components/button-with-tooltip"
import { ErrorToast } from "@/components/error-toast"
import { HistoryDialog } from "@/components/history-dialog"
import { ModelSelector } from "@/components/model-selector"
import { ResetWarningModal } from "@/components/reset-warning-modal"
import { SaveDialog } from "@/components/save-dialog"
import { Button } from "@/components/ui/button"
import { Switch } from "@/components/ui/switch"
import { Textarea } from "@/components/ui/textarea"
import {
Tooltip,
TooltipContent,
TooltipTrigger,
} from "@/components/ui/tooltip"
import { useDiagram } from "@/contexts/diagram-context"
import { useDictionary } from "@/hooks/use-dictionary"
import { formatMessage } from "@/lib/i18n/utils"
import { isPdfFile, isTextFile } from "@/lib/pdf-utils"
import type { FlattenedModel } from "@/lib/types/model-config"
import { FilePreviewList } from "./file-preview-list"
Image as ImageIcon,
History,
Download,
PenTool,
LayoutGrid,
} from "lucide-react";
import { toast } from "sonner";
import { ButtonWithTooltip } from "@/components/button-with-tooltip";
import { FilePreviewList } from "./file-preview-list";
import { useDiagram } from "@/contexts/diagram-context";
import { HistoryDialog } from "@/components/history-dialog";
import { ErrorToast } from "@/components/error-toast";
const MAX_IMAGE_SIZE = 2 * 1024 * 1024 // 2MB
const MAX_FILES = 5
function isValidFileType(file: File): boolean {
return file.type.startsWith("image/") || isPdfFile(file) || isTextFile(file)
}
const MAX_FILE_SIZE = 2 * 1024 * 1024; // 2MB
const MAX_FILES = 5;
function formatFileSize(bytes: number): string {
const mb = bytes / 1024 / 1024
if (mb < 0.01) return `${(bytes / 1024).toFixed(0)}KB`
return `${mb.toFixed(2)}MB`
const mb = bytes / 1024 / 1024;
if (mb < 0.01) return `${(bytes / 1024).toFixed(0)}KB`;
return `${mb.toFixed(2)}MB`;
}
function showErrorToast(message: React.ReactNode) {
toast.custom(
(t) => (
<ErrorToast message={message} onDismiss={() => toast.dismiss(t)} />
),
{ duration: 5000 },
)
(t) => <ErrorToast message={message} onDismiss={() => toast.dismiss(t)} />,
{ duration: 5000 }
);
}
interface ValidationResult {
validFiles: File[]
errors: string[]
validFiles: File[];
errors: string[];
}
function validateFiles(
newFiles: File[],
existingCount: number,
dict: any,
): ValidationResult {
const errors: string[] = []
const validFiles: File[] = []
function validateFiles(newFiles: File[], existingCount: number): ValidationResult {
const errors: string[] = [];
const validFiles: File[] = [];
const availableSlots = MAX_FILES - existingCount
const availableSlots = MAX_FILES - existingCount;
if (availableSlots <= 0) {
errors.push(formatMessage(dict.errors.maxFiles, { max: MAX_FILES }))
return { validFiles, errors }
errors.push(`Maximum ${MAX_FILES} files allowed`);
return { validFiles, errors };
}
for (const file of newFiles) {
if (validFiles.length >= availableSlots) {
errors.push(
formatMessage(dict.errors.onlyMoreAllowed, {
slots: availableSlots,
}),
)
break
errors.push(`Only ${availableSlots} more file(s) allowed`);
break;
}
if (!isValidFileType(file)) {
errors.push(
formatMessage(dict.errors.unsupportedType, { name: file.name }),
)
continue
}
// Only check size for images (PDFs/text files are extracted client-side, so file size doesn't matter)
const isExtractedFile = isPdfFile(file) || isTextFile(file)
if (!isExtractedFile && file.size > MAX_IMAGE_SIZE) {
const maxSizeMB = MAX_IMAGE_SIZE / 1024 / 1024
errors.push(
formatMessage(dict.errors.fileExceeds, {
name: file.name,
size: formatFileSize(file.size),
max: maxSizeMB,
}),
)
if (file.size > MAX_FILE_SIZE) {
errors.push(`"${file.name}" is ${formatFileSize(file.size)} (exceeds 2MB)`);
} else {
validFiles.push(file)
validFiles.push(file);
}
}
return { validFiles, errors }
return { validFiles, errors };
}
function showValidationErrors(errors: string[], dict: any) {
if (errors.length === 0) return
function showValidationErrors(errors: string[]) {
if (errors.length === 0) return;
if (errors.length === 1) {
showErrorToast(
<span className="text-muted-foreground">{errors[0]}</span>,
)
showErrorToast(<span className="text-muted-foreground">{errors[0]}</span>);
} else {
showErrorToast(
<div className="flex flex-col gap-1">
<span className="font-medium">
{formatMessage(dict.errors.filesRejected, {
count: errors.length,
})}
</span>
<span className="font-medium">{errors.length} files rejected:</span>
<ul className="text-muted-foreground text-xs list-disc list-inside">
{errors.slice(0, 3).map((err) => (
<li key={err}>{err}</li>
))}
{errors.length > 3 && (
<li>
{formatMessage(dict.errors.andMore, {
count: errors.length - 3,
})}
</li>
)}
{errors.slice(0, 3).map((err, i) => <li key={i}>{err}</li>)}
{errors.length > 3 && <li>...and {errors.length - 3} more</li>}
</ul>
</div>,
)
</div>
);
}
}
interface ChatInputProps {
input: string
status: "submitted" | "streaming" | "ready" | "error"
onSubmit: (e: React.FormEvent<HTMLFormElement>) => void
onChange: (e: React.ChangeEvent<HTMLTextAreaElement>) => void
onClearChat: () => void
files?: File[]
onFileChange?: (files: File[]) => void
pdfData?: Map<
File,
{ text: string; charCount: number; isExtracting: boolean }
>
showHistory?: boolean
onToggleHistory?: (show: boolean) => void
sessionId?: string
error?: Error | null
minimalStyle?: boolean
onMinimalStyleChange?: (value: boolean) => void
// Model selector props
models?: FlattenedModel[]
selectedModelId?: string
onModelSelect?: (modelId: string | undefined) => void
onConfigureModels?: () => void
input: string;
status: "submitted" | "streaming" | "ready" | "error";
onSubmit: (e: React.FormEvent<HTMLFormElement>) => void;
onChange: (e: React.ChangeEvent<HTMLTextAreaElement>) => void;
onClearChat: () => void;
files?: File[];
onFileChange?: (files: File[]) => void;
showHistory?: boolean;
onToggleHistory?: (show: boolean) => void;
sessionId?: string;
error?: Error | null;
drawioUi?: "min" | "sketch";
onToggleDrawioUi?: () => void;
}
export function ChatInput({
@@ -173,162 +119,135 @@ export function ChatInput({
onClearChat,
files = [],
onFileChange = () => {},
pdfData = new Map(),
showHistory = false,
onToggleHistory = () => {},
sessionId,
error = null,
minimalStyle = false,
onMinimalStyleChange = () => {},
models = [],
selectedModelId,
onModelSelect = () => {},
onConfigureModels = () => {},
drawioUi = "min",
onToggleDrawioUi = () => {},
}: ChatInputProps) {
const dict = useDictionary()
const {
diagramHistory,
saveDiagramToFile,
showSaveDialog,
setShowSaveDialog,
} = useDiagram()
const textareaRef = useRef<HTMLTextAreaElement>(null)
const fileInputRef = useRef<HTMLInputElement>(null)
const [isDragging, setIsDragging] = useState(false)
const [showClearDialog, setShowClearDialog] = useState(false)
const { diagramHistory, saveDiagramToFile } = useDiagram();
const textareaRef = useRef<HTMLTextAreaElement>(null);
const fileInputRef = useRef<HTMLInputElement>(null);
const [isDragging, setIsDragging] = useState(false);
const [showClearDialog, setShowClearDialog] = useState(false);
const [showSaveDialog, setShowSaveDialog] = useState(false);
const [showThemeWarning, setShowThemeWarning] = useState(false);
// Allow retry when there's an error (even if status is still "streaming" or "submitted")
const isDisabled =
(status === "streaming" || status === "submitted") && !error
(status === "streaming" || status === "submitted") && !error;
const adjustTextareaHeight = useCallback(() => {
const textarea = textareaRef.current
const textarea = textareaRef.current;
if (textarea) {
textarea.style.height = "auto"
textarea.style.height = `${Math.min(textarea.scrollHeight, 200)}px`
textarea.style.height = "auto";
textarea.style.height = `${Math.min(textarea.scrollHeight, 200)}px`;
}
}, [])
// Handle programmatic input changes (e.g., setInput("") after form submission)
useEffect(() => {
adjustTextareaHeight()
}, [input, adjustTextareaHeight])
}, []);
const handleChange = (e: React.ChangeEvent<HTMLTextAreaElement>) => {
onChange(e)
adjustTextareaHeight()
}
useEffect(() => {
adjustTextareaHeight();
}, [input, adjustTextareaHeight]);
const handleKeyDown = (e: React.KeyboardEvent) => {
if ((e.metaKey || e.ctrlKey) && e.key === "Enter") {
e.preventDefault()
const form = e.currentTarget.closest("form")
e.preventDefault();
const form = e.currentTarget.closest("form");
if (form && input.trim() && !isDisabled) {
form.requestSubmit()
form.requestSubmit();
}
}
}
};
const handlePaste = async (e: React.ClipboardEvent) => {
if (isDisabled) return
if (isDisabled) return;
const items = e.clipboardData.items
const items = e.clipboardData.items;
const imageItems = Array.from(items).filter((item) =>
item.type.startsWith("image/"),
)
item.type.startsWith("image/")
);
if (imageItems.length > 0) {
const imageFiles = (
await Promise.all(
imageItems.map(async (item, index) => {
const file = item.getAsFile()
if (!file) return null
return new File(
[file],
`pasted-image-${Date.now()}-${index}.${file.type.split("/")[1]}`,
{ type: file.type },
)
}),
)
).filter((f): f is File => f !== null)
const imageFiles = (await Promise.all(
imageItems.map(async (item, index) => {
const file = item.getAsFile();
if (!file) return null;
return new File(
[file],
`pasted-image-${Date.now()}-${index}.${file.type.split("/")[1]}`,
{ type: file.type }
);
})
)).filter((f): f is File => f !== null);
const { validFiles, errors } = validateFiles(
imageFiles,
files.length,
dict,
)
showValidationErrors(errors, dict)
const { validFiles, errors } = validateFiles(imageFiles, files.length);
showValidationErrors(errors);
if (validFiles.length > 0) {
onFileChange([...files, ...validFiles])
onFileChange([...files, ...validFiles]);
}
}
}
};
const handleFileChange = (e: React.ChangeEvent<HTMLInputElement>) => {
const newFiles = Array.from(e.target.files || [])
const { validFiles, errors } = validateFiles(
newFiles,
files.length,
dict,
)
showValidationErrors(errors, dict)
const newFiles = Array.from(e.target.files || []);
const { validFiles, errors } = validateFiles(newFiles, files.length);
showValidationErrors(errors);
if (validFiles.length > 0) {
onFileChange([...files, ...validFiles])
onFileChange([...files, ...validFiles]);
}
// Reset input so same file can be selected again
if (fileInputRef.current) {
fileInputRef.current.value = ""
fileInputRef.current.value = "";
}
}
};
const handleRemoveFile = (fileToRemove: File) => {
onFileChange(files.filter((file) => file !== fileToRemove))
onFileChange(files.filter((file) => file !== fileToRemove));
if (fileInputRef.current) {
fileInputRef.current.value = ""
fileInputRef.current.value = "";
}
}
};
const triggerFileInput = () => {
fileInputRef.current?.click()
}
fileInputRef.current?.click();
};
const handleDragOver = (e: React.DragEvent<HTMLFormElement>) => {
e.preventDefault()
e.stopPropagation()
setIsDragging(true)
}
e.preventDefault();
e.stopPropagation();
setIsDragging(true);
};
const handleDragLeave = (e: React.DragEvent<HTMLFormElement>) => {
e.preventDefault()
e.stopPropagation()
setIsDragging(false)
}
e.preventDefault();
e.stopPropagation();
setIsDragging(false);
};
const handleDrop = (e: React.DragEvent<HTMLFormElement>) => {
e.preventDefault()
e.stopPropagation()
setIsDragging(false)
e.preventDefault();
e.stopPropagation();
setIsDragging(false);
if (isDisabled) return
if (isDisabled) return;
const droppedFiles = e.dataTransfer.files
const supportedFiles = Array.from(droppedFiles).filter((file) =>
isValidFileType(file),
)
const droppedFiles = e.dataTransfer.files;
const imageFiles = Array.from(droppedFiles).filter((file) =>
file.type.startsWith("image/")
);
const { validFiles, errors } = validateFiles(
supportedFiles,
files.length,
dict,
)
showValidationErrors(errors, dict)
const { validFiles, errors } = validateFiles(imageFiles, files.length);
showValidationErrors(errors);
if (validFiles.length > 0) {
onFileChange([...files, ...validFiles])
onFileChange([...files, ...validFiles]);
}
}
};
const handleClear = () => {
onClearChat()
setShowClearDialog(false)
}
onClearChat();
setShowClearDialog(false);
};
return (
<form
@@ -348,31 +267,34 @@ export function ChatInput({
<FilePreviewList
files={files}
onRemoveFile={handleRemoveFile}
pdfData={pdfData}
/>
</div>
)}
{/* Input container */}
<div className="relative rounded-2xl border border-border bg-background shadow-sm focus-within:ring-2 focus-within:ring-primary/20 focus-within:border-primary/50 transition-all duration-200">
<Textarea
ref={textareaRef}
value={input}
onChange={handleChange}
onChange={onChange}
onKeyDown={handleKeyDown}
onPaste={handlePaste}
placeholder={dict.chat.placeholder}
placeholder="Describe your diagram or paste an image..."
disabled={isDisabled}
aria-label="Chat input"
className="min-h-[60px] max-h-[200px] resize-none border-0 bg-transparent px-4 py-3 text-sm focus-visible:ring-0 focus-visible:ring-offset-0 placeholder:text-muted-foreground/60"
/>
{/* Action bar */}
<div className="flex items-center justify-between px-3 py-2 border-t border-border/50">
<div className="flex items-center gap-1 overflow-x-hidden">
{/* Left actions */}
<div className="flex items-center gap-1">
<ButtonWithTooltip
type="button"
variant="ghost"
size="sm"
onClick={() => setShowClearDialog(true)}
tooltipContent={dict.chat.clearConversation}
tooltipContent="Clear conversation"
className="h-8 w-8 p-0 text-muted-foreground hover:text-destructive hover:bg-destructive/10"
>
<Trash2 className="h-4 w-4" />
@@ -389,43 +311,60 @@ export function ChatInput({
onToggleHistory={onToggleHistory}
/>
<Tooltip>
<TooltipTrigger asChild>
<div className="flex items-center gap-1.5">
<Switch
id="minimal-style"
checked={minimalStyle}
onCheckedChange={onMinimalStyleChange}
className="scale-75"
/>
<label
htmlFor="minimal-style"
className={`text-xs cursor-pointer select-none ${
minimalStyle
? "text-primary font-medium"
: "text-muted-foreground"
}`}
<ButtonWithTooltip
type="button"
variant="ghost"
size="sm"
onClick={() => setShowThemeWarning(true)}
tooltipContent={drawioUi === "min" ? "Switch to Sketch theme" : "Switch to Minimal theme"}
className="h-8 w-8 p-0 text-muted-foreground hover:text-foreground"
>
{drawioUi === "min" ? (
<PenTool className="h-4 w-4" />
) : (
<LayoutGrid className="h-4 w-4" />
)}
</ButtonWithTooltip>
<Dialog open={showThemeWarning} onOpenChange={setShowThemeWarning}>
<DialogContent>
<DialogHeader>
<DialogTitle>Switch Theme?</DialogTitle>
<DialogDescription>
Switching themes will reload the diagram editor and clear any unsaved changes.
</DialogDescription>
</DialogHeader>
<DialogFooter>
<Button
variant="outline"
onClick={() => setShowThemeWarning(false)}
>
{minimalStyle
? dict.chat.minimalStyle
: dict.chat.styledMode}
</label>
</div>
</TooltipTrigger>
<TooltipContent side="top">
{dict.chat.minimalTooltip}
</TooltipContent>
</Tooltip>
Cancel
</Button>
<Button
variant="destructive"
onClick={() => {
onClearChat();
onToggleDrawioUi();
setShowThemeWarning(false);
}}
>
Switch Theme
</Button>
</DialogFooter>
</DialogContent>
</Dialog>
</div>
<div className="flex items-center gap-1 overflow-hidden justify-end">
{/* Right actions */}
<div className="flex items-center gap-1">
<ButtonWithTooltip
type="button"
variant="ghost"
size="sm"
onClick={() => onToggleHistory(true)}
disabled={isDisabled || diagramHistory.length === 0}
tooltipContent={dict.chat.diagramHistory}
tooltipContent="Diagram history"
className="h-8 w-8 p-0 text-muted-foreground hover:text-foreground"
>
<History className="h-4 w-4" />
@@ -437,7 +376,7 @@ export function ChatInput({
size="sm"
onClick={() => setShowSaveDialog(true)}
disabled={isDisabled}
tooltipContent={dict.chat.saveDiagram}
tooltipContent="Save diagram"
className="h-8 w-8 p-0 text-muted-foreground hover:text-foreground"
>
<Download className="h-4 w-4" />
@@ -460,7 +399,7 @@ export function ChatInput({
size="sm"
onClick={triggerFileInput}
disabled={isDisabled}
tooltipContent={dict.chat.uploadFile}
tooltipContent="Upload image"
className="h-8 w-8 p-0 text-muted-foreground hover:text-foreground"
>
<ImageIcon className="h-4 w-4" />
@@ -471,19 +410,11 @@ export function ChatInput({
ref={fileInputRef}
className="hidden"
onChange={handleFileChange}
accept="image/*,.pdf,application/pdf,text/*,.md,.markdown,.json,.csv,.xml,.yaml,.yml,.toml"
accept="image/*"
multiple
disabled={isDisabled}
/>
<ModelSelector
models={models}
selectedModelId={selectedModelId}
onSelect={onModelSelect}
onConfigure={onConfigureModels}
disabled={isDisabled}
/>
<div className="w-px h-5 bg-border mx-1" />
<Button
@@ -492,7 +423,7 @@ export function ChatInput({
size="sm"
className="h-8 px-4 rounded-xl font-medium shadow-sm"
aria-label={
isDisabled ? dict.chat.sending : dict.chat.send
isDisabled ? "Sending..." : "Send message"
}
>
{isDisabled ? (
@@ -500,7 +431,7 @@ export function ChatInput({
) : (
<>
<Send className="h-4 w-4 mr-1.5" />
{dict.chat.send}
Send
</>
)}
</Button>
@@ -508,5 +439,5 @@ export function ChatInput({
</div>
</div>
</form>
)
);
}

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View File

@@ -1,29 +1,22 @@
"use client"
"use client";
import { Highlight, themes } from "prism-react-renderer"
import { Highlight, themes } from "prism-react-renderer";
interface CodeBlockProps {
code: string
language?: "xml" | "json"
code: string;
language?: "xml" | "json";
}
export function CodeBlock({ code, language = "xml" }: CodeBlockProps) {
return (
<div className="overflow-hidden w-full">
<Highlight theme={themes.github} code={code} language={language}>
{({
className: _className,
style,
tokens,
getLineProps,
getTokenProps,
}) => (
{({ className, style, tokens, getLineProps, getTokenProps }) => (
<pre
className="text-[11px] leading-relaxed overflow-x-auto overflow-y-auto max-h-48 scrollbar-thin break-all"
style={{
...style,
fontFamily:
"var(--font-mono), ui-monospace, monospace",
fontFamily: "var(--font-mono), ui-monospace, monospace",
backgroundColor: "transparent",
margin: 0,
padding: 0,
@@ -32,16 +25,9 @@ export function CodeBlock({ code, language = "xml" }: CodeBlockProps) {
}}
>
{tokens.map((line, i) => (
<div
key={i}
{...getLineProps({ line })}
style={{ wordBreak: "break-all" }}
>
<div key={i} {...getLineProps({ line })} style={{ wordBreak: "break-all" }}>
{line.map((token, key) => (
<span
key={key}
{...getTokenProps({ token })}
/>
<span key={key} {...getTokenProps({ token })} />
))}
</div>
))}
@@ -49,5 +35,5 @@ export function CodeBlock({ code, language = "xml" }: CodeBlockProps) {
)}
</Highlight>
</div>
)
);
}

View File

@@ -1,19 +1,19 @@
"use client"
"use client";
import type React from "react"
import React from "react";
interface ErrorToastProps {
message: React.ReactNode
onDismiss: () => void
message: React.ReactNode;
onDismiss: () => void;
}
export function ErrorToast({ message, onDismiss }: ErrorToastProps) {
const handleKeyDown = (e: React.KeyboardEvent) => {
if (e.key === "Enter" || e.key === " " || e.key === "Escape") {
e.preventDefault()
onDismiss()
e.preventDefault();
onDismiss();
}
}
};
return (
<div
@@ -25,12 +25,7 @@ export function ErrorToast({ message, onDismiss }: ErrorToastProps) {
className="flex items-center gap-3 bg-card border border-border/50 px-4 py-3 rounded-xl shadow-sm cursor-pointer hover:bg-muted/50 focus:outline-none focus:ring-2 focus:ring-primary/50 transition-colors"
>
<div className="flex items-center justify-center w-8 h-8 rounded-full bg-destructive/10 flex-shrink-0">
<svg
className="w-4 h-4 text-destructive"
viewBox="0 0 20 20"
fill="currentColor"
aria-hidden="true"
>
<svg className="w-4 h-4 text-destructive" viewBox="0 0 20 20" fill="currentColor" aria-hidden="true">
<path
fillRule="evenodd"
d="M4.293 4.293a1 1 0 011.414 0L10 8.586l4.293-4.293a1 1 0 111.414 1.414L11.414 10l4.293 4.293a1 1 0 01-1.414 1.414L10 11.414l-4.293 4.293a1 1 0 01-1.414-1.414L8.586 10 4.293 5.707a1 1 0 010-1.414z"
@@ -40,5 +35,5 @@ export function ErrorToast({ message, onDismiss }: ErrorToastProps) {
</div>
<span className="text-sm text-foreground">{message}</span>
</div>
)
);
}

View File

@@ -1,140 +1,49 @@
"use client"
"use client";
import { FileCode, FileText, Loader2, X } from "lucide-react"
import Image from "next/image"
import { useEffect, useRef, useState } from "react"
import { useDictionary } from "@/hooks/use-dictionary"
import { isPdfFile, isTextFile } from "@/lib/pdf-utils"
function formatCharCount(count: number): string {
if (count >= 1000) {
return `${(count / 1000).toFixed(1)}k`
}
return String(count)
}
import React, { useEffect, useState } from "react";
import Image from "next/image";
import { X } from "lucide-react";
interface FilePreviewListProps {
files: File[]
onRemoveFile: (fileToRemove: File) => void
pdfData?: Map<
File,
{ text: string; charCount: number; isExtracting: boolean }
>
files: File[];
onRemoveFile: (fileToRemove: File) => void;
}
export function FilePreviewList({
files,
onRemoveFile,
pdfData = new Map(),
}: FilePreviewListProps) {
const dict = useDictionary()
const [selectedImage, setSelectedImage] = useState<string | null>(null)
const [imageUrls, setImageUrls] = useState<Map<File, string>>(new Map())
const imageUrlsRef = useRef<Map<File, string>>(new Map())
// Create and cleanup object URLs when files change
useEffect(() => {
const currentUrls = imageUrlsRef.current
const newUrls = new Map<File, string>()
export function FilePreviewList({ files, onRemoveFile }: FilePreviewListProps) {
const [selectedImage, setSelectedImage] = useState<string | null>(null);
files.forEach((file) => {
if (file.type.startsWith("image/")) {
// Reuse existing URL if file is already tracked
const existingUrl = currentUrls.get(file)
if (existingUrl) {
newUrls.set(file, existingUrl)
} else {
newUrls.set(file, URL.createObjectURL(file))
}
}
})
// Revoke URLs for files that are no longer in the list
currentUrls.forEach((url, file) => {
if (!newUrls.has(file)) {
URL.revokeObjectURL(url)
}
})
imageUrlsRef.current = newUrls
setImageUrls(newUrls)
}, [files])
// Cleanup all URLs on unmount only
// Cleanup object URLs on unmount
useEffect(() => {
const objectUrls = files
.filter((file) => file.type.startsWith("image/"))
.map((file) => URL.createObjectURL(file));
return () => {
imageUrlsRef.current.forEach((url) => {
URL.revokeObjectURL(url)
})
// Clear the ref so StrictMode remount creates fresh URLs
imageUrlsRef.current = new Map()
}
}, [])
// Clear selected image if its URL was revoked
useEffect(() => {
if (
selectedImage &&
!Array.from(imageUrls.values()).includes(selectedImage)
) {
setSelectedImage(null)
}
}, [imageUrls, selectedImage])
objectUrls.forEach(URL.revokeObjectURL);
};
}, [files]);
if (files.length === 0) return null
if (files.length === 0) return null;
return (
<>
<div className="flex flex-wrap gap-2 mt-2 p-2 bg-muted/50 rounded-md">
{files.map((file, index) => {
const imageUrl = imageUrls.get(file) || null
const pdfInfo = pdfData.get(file)
const imageUrl = file.type.startsWith("image/") ? URL.createObjectURL(file) : null;
return (
<div key={file.name + index} className="relative group">
<div
className={`w-20 h-20 border rounded-md overflow-hidden bg-muted ${
file.type.startsWith("image/") && imageUrl
? "cursor-pointer"
: ""
}`}
onClick={() =>
file.type.startsWith("image/") &&
imageUrl &&
setSelectedImage(imageUrl)
}
className="w-20 h-20 border rounded-md overflow-hidden bg-muted cursor-pointer"
onClick={() => imageUrl && setSelectedImage(imageUrl)}
>
{file.type.startsWith("image/") && imageUrl ? (
{file.type.startsWith("image/") ? (
<Image
src={imageUrl}
src={imageUrl!}
alt={file.name}
width={80}
height={80}
className="object-cover w-full h-full"
unoptimized
/>
) : isPdfFile(file) || isTextFile(file) ? (
<div className="flex flex-col items-center justify-center h-full p-1">
{pdfInfo?.isExtracting ? (
<Loader2 className="h-6 w-6 text-blue-500 mb-1 animate-spin" />
) : isPdfFile(file) ? (
<FileText className="h-6 w-6 text-red-500 mb-1" />
) : (
<FileCode className="h-6 w-6 text-blue-500 mb-1" />
)}
<span className="text-xs text-center truncate w-full px-1">
{file.name.length > 10
? `${file.name.slice(0, 7)}...`
: file.name}
</span>
{pdfInfo?.isExtracting ? (
<span className="text-[10px] text-muted-foreground">
{dict.file.reading}
</span>
) : pdfInfo?.charCount ? (
<span className="text-[10px] text-green-600 font-medium">
{formatCharCount(
pdfInfo.charCount,
)}{" "}
{dict.file.chars}
</span>
) : null}
</div>
) : (
<div className="flex items-center justify-center h-full text-xs text-center p-1">
{file.name}
@@ -145,14 +54,15 @@ export function FilePreviewList({
type="button"
onClick={() => onRemoveFile(file)}
className="absolute -top-2 -right-2 bg-destructive rounded-full p-1 opacity-0 group-hover:opacity-100 transition-opacity"
aria-label={dict.file.removeFile}
aria-label="Remove file"
>
<X className="h-3 w-3" />
</button>
</div>
)
);
})}
</div>
{/* Image Modal/Lightbox */}
{selectedImage && (
<div
@@ -162,7 +72,7 @@ export function FilePreviewList({
<button
className="absolute top-4 right-4 z-10 bg-white rounded-full p-2 hover:bg-gray-200 transition-colors"
onClick={() => setSelectedImage(null)}
aria-label={dict.common.close}
aria-label="Close"
>
<X className="h-6 w-6" />
</button>
@@ -174,11 +84,10 @@ export function FilePreviewList({
height={900}
className="object-contain max-w-full max-h-[90vh] w-auto h-auto"
onClick={(e) => e.stopPropagation()}
unoptimized
/>
</div>
</div>
)}
</>
)
);
}

View File

@@ -1,8 +1,6 @@
"use client"
"use client";
import Image from "next/image"
import { useState } from "react"
import { Button } from "@/components/ui/button"
import { useState } from "react";
import {
Dialog,
DialogContent,
@@ -10,50 +8,51 @@ import {
DialogFooter,
DialogHeader,
DialogTitle,
} from "@/components/ui/dialog"
import { useDiagram } from "@/contexts/diagram-context"
import { useDictionary } from "@/hooks/use-dictionary"
import { formatMessage } from "@/lib/i18n/utils"
} from "@/components/ui/dialog";
import { Button } from "@/components/ui/button";
import Image from "next/image";
import { useDiagram } from "@/contexts/diagram-context";
interface HistoryDialogProps {
showHistory: boolean
onToggleHistory: (show: boolean) => void
showHistory: boolean;
onToggleHistory: (show: boolean) => void;
}
export function HistoryDialog({
showHistory,
onToggleHistory,
}: HistoryDialogProps) {
const dict = useDictionary()
const { loadDiagram: onDisplayChart, diagramHistory } = useDiagram()
const [selectedIndex, setSelectedIndex] = useState<number | null>(null)
const { loadDiagram: onDisplayChart, diagramHistory } = useDiagram();
const [selectedIndex, setSelectedIndex] = useState<number | null>(null);
const handleClose = () => {
setSelectedIndex(null)
onToggleHistory(false)
}
setSelectedIndex(null);
onToggleHistory(false);
};
const handleConfirmRestore = () => {
if (selectedIndex !== null) {
// Skip validation for trusted history snapshots
onDisplayChart(diagramHistory[selectedIndex].xml, true)
handleClose()
onDisplayChart(diagramHistory[selectedIndex].xml);
handleClose();
}
}
};
return (
<Dialog open={showHistory} onOpenChange={onToggleHistory}>
<DialogContent className="max-w-3xl max-h-[80vh] overflow-y-auto">
<DialogHeader>
<DialogTitle>{dict.history.title}</DialogTitle>
<DialogTitle>Diagram History</DialogTitle>
<DialogDescription>
{dict.history.description}
Here saved each diagram before AI modification.
<br />
Click on a diagram to restore it
</DialogDescription>
</DialogHeader>
{diagramHistory.length === 0 ? (
<div className="text-center p-4 text-gray-500">
{dict.history.noHistory}
No history available yet. Send messages to create
diagram history.
</div>
) : (
<div className="grid grid-cols-2 md:grid-cols-3 gap-4 py-4">
@@ -70,14 +69,14 @@ export function HistoryDialog({
<div className="aspect-video bg-white rounded overflow-hidden flex items-center justify-center">
<Image
src={item.svg}
alt={`${dict.history.version} ${index + 1}`}
alt={`Diagram version ${index + 1}`}
width={200}
height={100}
className="object-contain w-full h-full p-1"
/>
</div>
<div className="text-xs text-center mt-1 text-gray-500">
{dict.history.version} {index + 1}
Version {index + 1}
</div>
</div>
))}
@@ -88,27 +87,28 @@ export function HistoryDialog({
{selectedIndex !== null ? (
<>
<div className="flex-1 text-sm text-muted-foreground">
{formatMessage(dict.history.restoreTo, {
version: selectedIndex + 1,
})}
Restore to Version {selectedIndex + 1}?
</div>
<Button
variant="outline"
onClick={() => setSelectedIndex(null)}
>
{dict.common.cancel}
Cancel
</Button>
<Button onClick={handleConfirmRestore}>
{dict.common.confirm}
Confirm
</Button>
</>
) : (
<Button variant="outline" onClick={handleClose}>
{dict.common.close}
<Button
variant="outline"
onClick={handleClose}
>
Close
</Button>
)}
</DialogFooter>
</DialogContent>
</Dialog>
)
);
}

File diff suppressed because it is too large Load Diff

View File

@@ -1,216 +0,0 @@
"use client"
import { Bot, Check, ChevronDown, Server, Settings2 } from "lucide-react"
import { useMemo, useState } from "react"
import {
ModelSelectorContent,
ModelSelectorEmpty,
ModelSelectorGroup,
ModelSelectorInput,
ModelSelectorItem,
ModelSelectorList,
ModelSelectorLogo,
ModelSelectorName,
ModelSelector as ModelSelectorRoot,
ModelSelectorSeparator,
ModelSelectorTrigger,
} from "@/components/ai-elements/model-selector"
import { ButtonWithTooltip } from "@/components/button-with-tooltip"
import type { FlattenedModel } from "@/lib/types/model-config"
import { cn } from "@/lib/utils"
interface ModelSelectorProps {
models: FlattenedModel[]
selectedModelId: string | undefined
onSelect: (modelId: string | undefined) => void
onConfigure: () => void
disabled?: boolean
}
// Map our provider names to models.dev logo names
const PROVIDER_LOGO_MAP: Record<string, string> = {
openai: "openai",
anthropic: "anthropic",
google: "google",
azure: "azure",
bedrock: "amazon-bedrock",
openrouter: "openrouter",
deepseek: "deepseek",
siliconflow: "siliconflow",
gateway: "vercel",
}
// Group models by providerLabel (handles duplicate providers)
function groupModelsByProvider(
models: FlattenedModel[],
): Map<string, { provider: string; models: FlattenedModel[] }> {
const groups = new Map<
string,
{ provider: string; models: FlattenedModel[] }
>()
for (const model of models) {
const key = model.providerLabel
const existing = groups.get(key)
if (existing) {
existing.models.push(model)
} else {
groups.set(key, { provider: model.provider, models: [model] })
}
}
return groups
}
export function ModelSelector({
models,
selectedModelId,
onSelect,
onConfigure,
disabled = false,
}: ModelSelectorProps) {
const [open, setOpen] = useState(false)
// Only show validated models in the selector
const validatedModels = useMemo(
() => models.filter((m) => m.validated === true),
[models],
)
const groupedModels = useMemo(
() => groupModelsByProvider(validatedModels),
[validatedModels],
)
// Find selected model for display
const selectedModel = useMemo(
() => models.find((m) => m.id === selectedModelId),
[models, selectedModelId],
)
const handleSelect = (value: string) => {
if (value === "__configure__") {
onConfigure()
} else if (value === "__server_default__") {
onSelect(undefined)
} else {
onSelect(value)
}
setOpen(false)
}
const tooltipContent = selectedModel
? `${selectedModel.modelId} (click to change)`
: "Using server default model (click to change)"
return (
<ModelSelectorRoot open={open} onOpenChange={setOpen}>
<ModelSelectorTrigger asChild>
<ButtonWithTooltip
tooltipContent={tooltipContent}
variant="ghost"
size="sm"
disabled={disabled}
className="hover:bg-accent gap-1.5 h-8 max-w-[180px] px-2"
>
<Bot className="h-4 w-4 flex-shrink-0 text-muted-foreground" />
<span className="text-xs truncate">
{selectedModel ? selectedModel.modelId : "Default"}
</span>
<ChevronDown className="h-3 w-3 flex-shrink-0 text-muted-foreground" />
</ButtonWithTooltip>
</ModelSelectorTrigger>
<ModelSelectorContent title="Select Model">
<ModelSelectorInput placeholder="Search models..." />
<ModelSelectorList>
<ModelSelectorEmpty>
{validatedModels.length === 0 && models.length > 0
? "No verified models. Test your models first."
: "No models found."}
</ModelSelectorEmpty>
{/* Server Default Option */}
<ModelSelectorGroup heading="Default">
<ModelSelectorItem
value="__server_default__"
onSelect={handleSelect}
className={cn(
"cursor-pointer",
!selectedModelId && "bg-accent",
)}
>
<Check
className={cn(
"mr-2 h-4 w-4",
!selectedModelId
? "opacity-100"
: "opacity-0",
)}
/>
<Server className="mr-2 h-4 w-4 text-muted-foreground" />
<ModelSelectorName>
Server Default
</ModelSelectorName>
</ModelSelectorItem>
</ModelSelectorGroup>
{/* Configured Models by Provider */}
{Array.from(groupedModels.entries()).map(
([
providerLabel,
{ provider, models: providerModels },
]) => (
<ModelSelectorGroup
key={providerLabel}
heading={providerLabel}
>
{providerModels.map((model) => (
<ModelSelectorItem
key={model.id}
value={model.modelId}
onSelect={() => handleSelect(model.id)}
className="cursor-pointer"
>
<Check
className={cn(
"mr-2 h-4 w-4",
selectedModelId === model.id
? "opacity-100"
: "opacity-0",
)}
/>
<ModelSelectorLogo
provider={
PROVIDER_LOGO_MAP[provider] ||
provider
}
className="mr-2"
/>
<ModelSelectorName>
{model.modelId}
</ModelSelectorName>
</ModelSelectorItem>
))}
</ModelSelectorGroup>
),
)}
{/* Configure Option */}
<ModelSelectorSeparator />
<ModelSelectorGroup>
<ModelSelectorItem
value="__configure__"
onSelect={handleSelect}
className="cursor-pointer"
>
<Settings2 className="mr-2 h-4 w-4" />
<ModelSelectorName>
Configure Models...
</ModelSelectorName>
</ModelSelectorItem>
</ModelSelectorGroup>
{/* Info text */}
<div className="px-3 py-2 text-xs text-muted-foreground border-t">
Only verified models are shown
</div>
</ModelSelectorList>
</ModelSelectorContent>
</ModelSelectorRoot>
)
}

View File

@@ -1,104 +0,0 @@
"use client"
import { Coffee, X } from "lucide-react"
import Link from "next/link"
import type React from "react"
import { FaGithub } from "react-icons/fa"
import { useDictionary } from "@/hooks/use-dictionary"
import { formatMessage } from "@/lib/i18n/utils"
interface QuotaLimitToastProps {
type?: "request" | "token"
used: number
limit: number
onDismiss: () => void
}
export function QuotaLimitToast({
type = "request",
used,
limit,
onDismiss,
}: QuotaLimitToastProps) {
const dict = useDictionary()
const isTokenLimit = type === "token"
const formatNumber = (n: number) =>
n >= 1000 ? `${(n / 1000).toFixed(1)}k` : n.toString()
const handleKeyDown = (e: React.KeyboardEvent) => {
if (e.key === "Escape") {
e.preventDefault()
onDismiss()
}
}
return (
<div
role="alert"
aria-live="polite"
tabIndex={0}
onKeyDown={handleKeyDown}
className="relative w-[400px] overflow-hidden rounded-xl border border-border/50 bg-card p-5 shadow-soft animate-message-in"
>
{/* Close button */}
<button
onClick={onDismiss}
className="absolute right-3 top-3 p-1.5 rounded-full text-muted-foreground/60 hover:text-foreground hover:bg-muted transition-colors"
aria-label="Dismiss"
>
<X className="w-4 h-4" />
</button>
{/* Title row with icon */}
<div className="flex items-center gap-2.5 mb-3 pr-6">
<div className="flex-shrink-0 w-8 h-8 rounded-lg bg-accent flex items-center justify-center">
<Coffee
className="w-4 h-4 text-accent-foreground"
strokeWidth={2}
/>
</div>
<h3 className="font-semibold text-foreground text-sm">
{isTokenLimit
? dict.quota.tokenLimit
: dict.quota.dailyLimit}
</h3>
<span className="px-2 py-0.5 text-xs font-medium rounded-md bg-muted text-muted-foreground">
{formatMessage(dict.quota.usedOf, {
used: formatNumber(used),
limit: formatNumber(limit),
})}
</span>
</div>
{/* Message */}
<div className="text-sm text-muted-foreground leading-relaxed mb-4 space-y-2">
<p>
{isTokenLimit
? dict.quota.messageToken
: dict.quota.messageApi}
</p>
<p dangerouslySetInnerHTML={{ __html: dict.quota.tip }} />
<p>{dict.quota.reset}</p>
</div>{" "}
{/* Action buttons */}
<div className="flex items-center gap-2">
<a
href="https://github.com/DayuanJiang/next-ai-draw-io"
target="_blank"
rel="noopener noreferrer"
className="inline-flex items-center gap-1.5 px-3 py-1.5 text-xs font-medium rounded-lg bg-primary text-primary-foreground hover:bg-primary/90 transition-colors"
>
<FaGithub className="w-3.5 h-3.5" />
{dict.quota.selfHost}
</a>
<a
href="https://github.com/sponsors/DayuanJiang"
target="_blank"
rel="noopener noreferrer"
className="inline-flex items-center gap-1.5 px-3 py-1.5 text-xs font-medium rounded-lg border border-border text-foreground hover:bg-muted transition-colors"
>
<Coffee className="w-3.5 h-3.5" />
{dict.quota.sponsor}
</a>
</div>
</div>
)
}

View File

@@ -1,6 +1,6 @@
"use client"
"use client";
import { Button } from "@/components/ui/button"
import { Button } from "@/components/ui/button";
import {
Dialog,
DialogContent,
@@ -8,13 +8,12 @@ import {
DialogFooter,
DialogHeader,
DialogTitle,
} from "@/components/ui/dialog"
import { useDictionary } from "@/hooks/use-dictionary"
} from "@/components/ui/dialog";
interface ResetWarningModalProps {
open: boolean
onOpenChange: (open: boolean) => void
onClear: () => void
open: boolean;
onOpenChange: (open: boolean) => void;
onClear: () => void;
}
export function ResetWarningModal({
@@ -22,15 +21,14 @@ export function ResetWarningModal({
onOpenChange,
onClear,
}: ResetWarningModalProps) {
const dict = useDictionary()
return (
<Dialog open={open} onOpenChange={onOpenChange}>
<DialogContent>
<DialogHeader>
<DialogTitle>{dict.dialogs.clearTitle}</DialogTitle>
<DialogTitle>Clear Everything?</DialogTitle>
<DialogDescription>
{dict.dialogs.clearDescription}
This will clear the current conversation and reset the
diagram. This action cannot be undone.
</DialogDescription>
</DialogHeader>
<DialogFooter>
@@ -38,13 +36,13 @@ export function ResetWarningModal({
variant="outline"
onClick={() => onOpenChange(false)}
>
{dict.common.cancel}
Cancel
</Button>
<Button variant="destructive" onClick={onClear}>
{dict.dialogs.clearEverything}
Clear Everything
</Button>
</DialogFooter>
</DialogContent>
</Dialog>
)
);
}

View File

@@ -1,32 +1,36 @@
"use client"
"use client";
import { useEffect, useState } from "react"
import { Button } from "@/components/ui/button"
import { useState, useEffect } from "react";
import { Button } from "@/components/ui/button";
import { Input } from "@/components/ui/input";
import {
Dialog,
DialogContent,
DialogDescription,
DialogFooter,
DialogHeader,
DialogTitle,
} from "@/components/ui/dialog"
import { Input } from "@/components/ui/input"
DialogFooter,
} from "@/components/ui/dialog";
import {
Select,
SelectContent,
SelectItem,
SelectTrigger,
SelectValue,
} from "@/components/ui/select"
import { useDictionary } from "@/hooks/use-dictionary"
} from "@/components/ui/select";
export type ExportFormat = "drawio" | "png" | "svg"
export type ExportFormat = "drawio" | "png" | "svg";
const FORMAT_OPTIONS: { value: ExportFormat; label: string; extension: string }[] = [
{ value: "drawio", label: "Draw.io XML", extension: ".drawio" },
{ value: "png", label: "PNG Image", extension: ".png" },
{ value: "svg", label: "SVG Image", extension: ".svg" },
];
interface SaveDialogProps {
open: boolean
onOpenChange: (open: boolean) => void
onSave: (filename: string, format: ExportFormat) => void
defaultFilename: string
open: boolean;
onOpenChange: (open: boolean) => void;
onSave: (filename: string, format: ExportFormat) => void;
defaultFilename: string;
}
export function SaveDialog({
@@ -35,76 +39,46 @@ export function SaveDialog({
onSave,
defaultFilename,
}: SaveDialogProps) {
const dict = useDictionary()
const [filename, setFilename] = useState(defaultFilename)
const [format, setFormat] = useState<ExportFormat>("drawio")
const [filename, setFilename] = useState(defaultFilename);
const [format, setFormat] = useState<ExportFormat>("drawio");
useEffect(() => {
if (open) {
setFilename(defaultFilename)
setFilename(defaultFilename);
}
}, [open, defaultFilename])
}, [open, defaultFilename]);
const handleSave = () => {
const finalFilename = filename.trim() || defaultFilename
onSave(finalFilename, format)
onOpenChange(false)
}
const finalFilename = filename.trim() || defaultFilename;
onSave(finalFilename, format);
onOpenChange(false);
};
const handleKeyDown = (e: React.KeyboardEvent) => {
if (e.key === "Enter") {
e.preventDefault()
handleSave()
e.preventDefault();
handleSave();
}
}
};
const FORMAT_OPTIONS = [
{
value: "drawio" as const,
label: dict.save.formats.drawio,
extension: ".drawio",
},
{
value: "png" as const,
label: dict.save.formats.png,
extension: ".png",
},
{
value: "svg" as const,
label: dict.save.formats.svg,
extension: ".svg",
},
]
const currentFormat = FORMAT_OPTIONS.find((f) => f.value === format)
const currentFormat = FORMAT_OPTIONS.find((f) => f.value === format);
return (
<Dialog open={open} onOpenChange={onOpenChange}>
<DialogContent className="sm:max-w-md">
<DialogHeader>
<DialogTitle>{dict.save.title}</DialogTitle>
<DialogDescription>
{dict.save.description}
</DialogDescription>
<DialogTitle>Save Diagram</DialogTitle>
</DialogHeader>
<div className="space-y-4">
<div className="space-y-2">
<label className="text-sm font-medium">
{dict.save.format}
</label>
<Select
value={format}
onValueChange={(v) => setFormat(v as ExportFormat)}
>
<label className="text-sm font-medium">Format</label>
<Select value={format} onValueChange={(v) => setFormat(v as ExportFormat)}>
<SelectTrigger>
<SelectValue />
</SelectTrigger>
<SelectContent>
{FORMAT_OPTIONS.map((opt) => (
<SelectItem
key={opt.value}
value={opt.value}
>
<SelectItem key={opt.value} value={opt.value}>
{opt.label}
</SelectItem>
))}
@@ -112,15 +86,13 @@ export function SaveDialog({
</Select>
</div>
<div className="space-y-2">
<label className="text-sm font-medium">
{dict.save.filename}
</label>
<label className="text-sm font-medium">Filename</label>
<div className="flex items-stretch">
<Input
value={filename}
onChange={(e) => setFilename(e.target.value)}
onKeyDown={handleKeyDown}
placeholder={dict.save.filenamePlaceholder}
placeholder="Enter filename"
autoFocus
onFocus={(e) => e.target.select()}
className="rounded-r-none border-r-0 focus-visible:z-10"
@@ -132,15 +104,12 @@ export function SaveDialog({
</div>
</div>
<DialogFooter>
<Button
variant="outline"
onClick={() => onOpenChange(false)}
>
{dict.common.cancel}
<Button variant="outline" onClick={() => onOpenChange(false)}>
Cancel
</Button>
<Button onClick={handleSave}>{dict.common.save}</Button>
<Button onClick={handleSave}>Save</Button>
</DialogFooter>
</DialogContent>
</Dialog>
)
);
}

View File

@@ -1,342 +1,83 @@
"use client"
"use client";
import { Moon, Sun } from "lucide-react"
import { usePathname, useRouter, useSearchParams } from "next/navigation"
import { Suspense, useEffect, useState } from "react"
import { Button } from "@/components/ui/button"
import { useState, useEffect } from "react";
import { Button } from "@/components/ui/button";
import { Input } from "@/components/ui/input";
import {
Dialog,
DialogContent,
DialogDescription,
DialogHeader,
DialogTitle,
} from "@/components/ui/dialog"
import { Input } from "@/components/ui/input"
import { Label } from "@/components/ui/label"
import {
Select,
SelectContent,
SelectItem,
SelectTrigger,
SelectValue,
} from "@/components/ui/select"
import { Switch } from "@/components/ui/switch"
import { useDictionary } from "@/hooks/use-dictionary"
import { getApiEndpoint } from "@/lib/base-path"
import { i18n, type Locale } from "@/lib/i18n/config"
const LANGUAGE_LABELS: Record<Locale, string> = {
en: "English",
zh: "中文",
ja: "日本語",
}
DialogFooter,
DialogDescription,
} from "@/components/ui/dialog";
interface SettingsDialogProps {
open: boolean
onOpenChange: (open: boolean) => void
onCloseProtectionChange?: (enabled: boolean) => void
drawioUi: "min" | "sketch"
onToggleDrawioUi: () => void
darkMode: boolean
onToggleDarkMode: () => void
open: boolean;
onOpenChange: (open: boolean) => void;
}
export const STORAGE_ACCESS_CODE_KEY = "next-ai-draw-io-access-code"
export const STORAGE_CLOSE_PROTECTION_KEY = "next-ai-draw-io-close-protection"
const STORAGE_ACCESS_CODE_REQUIRED_KEY = "next-ai-draw-io-access-code-required"
export const STORAGE_ACCESS_CODE_KEY = "next-ai-draw-io-access-code";
function getStoredAccessCodeRequired(): boolean | null {
if (typeof window === "undefined") return null
const stored = localStorage.getItem(STORAGE_ACCESS_CODE_REQUIRED_KEY)
if (stored === null) return null
return stored === "true"
}
function SettingsContent({
export function SettingsDialog({
open,
onOpenChange,
onCloseProtectionChange,
drawioUi,
onToggleDrawioUi,
darkMode,
onToggleDarkMode,
}: SettingsDialogProps) {
const dict = useDictionary()
const router = useRouter()
const pathname = usePathname() || "/"
const search = useSearchParams()
const [accessCode, setAccessCode] = useState("")
const [closeProtection, setCloseProtection] = useState(true)
const [isVerifying, setIsVerifying] = useState(false)
const [error, setError] = useState("")
const [accessCodeRequired, setAccessCodeRequired] = useState(
() => getStoredAccessCodeRequired() ?? false,
)
const [currentLang, setCurrentLang] = useState("en")
useEffect(() => {
// Only fetch if not cached in localStorage
if (getStoredAccessCodeRequired() !== null) return
fetch(getApiEndpoint("/api/config"))
.then((res) => {
if (!res.ok) throw new Error(`HTTP ${res.status}`)
return res.json()
})
.then((data) => {
const required = data?.accessCodeRequired === true
localStorage.setItem(
STORAGE_ACCESS_CODE_REQUIRED_KEY,
String(required),
)
setAccessCodeRequired(required)
})
.catch(() => {
// Don't cache on error - allow retry on next mount
setAccessCodeRequired(false)
})
}, [])
// Detect current language from pathname
useEffect(() => {
const seg = pathname.split("/").filter(Boolean)
const first = seg[0]
if (first && i18n.locales.includes(first as Locale)) {
setCurrentLang(first)
} else {
setCurrentLang(i18n.defaultLocale)
}
}, [pathname])
const [accessCode, setAccessCode] = useState("");
useEffect(() => {
if (open) {
const storedCode =
localStorage.getItem(STORAGE_ACCESS_CODE_KEY) || ""
setAccessCode(storedCode)
const storedCloseProtection = localStorage.getItem(
STORAGE_CLOSE_PROTECTION_KEY,
)
// Default to true if not set
setCloseProtection(storedCloseProtection !== "false")
setError("")
const storedCode = localStorage.getItem(STORAGE_ACCESS_CODE_KEY) || "";
setAccessCode(storedCode);
}
}, [open])
}, [open]);
const changeLanguage = (lang: string) => {
const parts = pathname.split("/")
if (parts.length > 1 && i18n.locales.includes(parts[1] as Locale)) {
parts[1] = lang
} else {
parts.splice(1, 0, lang)
}
const newPath = parts.join("/") || "/"
const searchStr = search?.toString() ? `?${search.toString()}` : ""
router.push(newPath + searchStr)
}
const handleSave = async () => {
if (!accessCodeRequired) return
setError("")
setIsVerifying(true)
try {
const response = await fetch(
getApiEndpoint("/api/verify-access-code"),
{
method: "POST",
headers: {
"x-access-code": accessCode.trim(),
},
},
)
const data = await response.json()
if (!data.valid) {
setError(data.message || dict.errors.invalidAccessCode)
return
}
localStorage.setItem(STORAGE_ACCESS_CODE_KEY, accessCode.trim())
onOpenChange(false)
} catch {
setError(dict.errors.networkError)
} finally {
setIsVerifying(false)
}
}
const handleSave = () => {
localStorage.setItem(STORAGE_ACCESS_CODE_KEY, accessCode.trim());
onOpenChange(false);
};
const handleKeyDown = (e: React.KeyboardEvent) => {
if (e.key === "Enter") {
e.preventDefault()
handleSave()
e.preventDefault();
handleSave();
}
}
};
return (
<DialogContent className="sm:max-w-md">
<DialogHeader>
<DialogTitle>{dict.settings.title}</DialogTitle>
<DialogDescription>
{dict.settings.description}
</DialogDescription>
</DialogHeader>
<div className="space-y-4 py-2">
{accessCodeRequired && (
<Dialog open={open} onOpenChange={onOpenChange}>
<DialogContent className="sm:max-w-md">
<DialogHeader>
<DialogTitle>Settings</DialogTitle>
<DialogDescription>
Configure your access settings.
</DialogDescription>
</DialogHeader>
<div className="space-y-4 py-2">
<div className="space-y-2">
<Label htmlFor="access-code">
{dict.settings.accessCode}
</Label>
<div className="flex gap-2">
<Input
id="access-code"
type="password"
value={accessCode}
onChange={(e) => setAccessCode(e.target.value)}
onKeyDown={handleKeyDown}
placeholder={
dict.settings.accessCodePlaceholder
}
autoComplete="off"
/>
<Button
onClick={handleSave}
disabled={isVerifying || !accessCode.trim()}
>
{isVerifying ? "..." : dict.common.save}
</Button>
</div>
<label className="text-sm font-medium leading-none peer-disabled:cursor-not-allowed peer-disabled:opacity-70">
Access Code
</label>
<Input
type="password"
value={accessCode}
onChange={(e) => setAccessCode(e.target.value)}
onKeyDown={handleKeyDown}
placeholder="Enter access code"
autoComplete="off"
/>
<p className="text-[0.8rem] text-muted-foreground">
{dict.settings.accessCodeDescription}
</p>
{error && (
<p className="text-[0.8rem] text-destructive">
{error}
</p>
)}
</div>
)}
<div className="flex items-center justify-between">
<div className="space-y-0.5">
<Label htmlFor="language-select">
{dict.settings.language}
</Label>
<p className="text-[0.8rem] text-muted-foreground">
{dict.settings.languageDescription}
Required if the server has enabled access control.
</p>
</div>
<Select value={currentLang} onValueChange={changeLanguage}>
<SelectTrigger id="language-select" className="w-32">
<SelectValue />
</SelectTrigger>
<SelectContent>
{i18n.locales.map((locale) => (
<SelectItem key={locale} value={locale}>
{LANGUAGE_LABELS[locale]}
</SelectItem>
))}
</SelectContent>
</Select>
</div>
<div className="flex items-center justify-between">
<div className="space-y-0.5">
<Label htmlFor="theme-toggle">
{dict.settings.theme}
</Label>
<p className="text-[0.8rem] text-muted-foreground">
{dict.settings.themeDescription}
</p>
</div>
<Button
id="theme-toggle"
variant="outline"
size="icon"
onClick={onToggleDarkMode}
>
{darkMode ? (
<Sun className="h-4 w-4" />
) : (
<Moon className="h-4 w-4" />
)}
<DialogFooter>
<Button variant="outline" onClick={() => onOpenChange(false)}>
Cancel
</Button>
</div>
<div className="flex items-center justify-between">
<div className="space-y-0.5">
<Label htmlFor="drawio-ui">
{dict.settings.drawioStyle}
</Label>
<p className="text-[0.8rem] text-muted-foreground">
{dict.settings.drawioStyleDescription}{" "}
{drawioUi === "min"
? dict.settings.minimal
: dict.settings.sketch}
</p>
</div>
<Button
id="drawio-ui"
variant="outline"
size="sm"
onClick={onToggleDrawioUi}
>
{dict.settings.switchTo}{" "}
{drawioUi === "min"
? dict.settings.sketch
: dict.settings.minimal}
</Button>
</div>
<div className="flex items-center justify-between">
<div className="space-y-0.5">
<Label htmlFor="close-protection">
{dict.settings.closeProtection}
</Label>
<p className="text-[0.8rem] text-muted-foreground">
{dict.settings.closeProtectionDescription}
</p>
</div>
<Switch
id="close-protection"
checked={closeProtection}
onCheckedChange={(checked) => {
setCloseProtection(checked)
localStorage.setItem(
STORAGE_CLOSE_PROTECTION_KEY,
checked.toString(),
)
onCloseProtectionChange?.(checked)
}}
/>
</div>
</div>
<div className="pt-4 border-t border-border/50">
<p className="text-[0.75rem] text-muted-foreground text-center">
Version {process.env.APP_VERSION}
</p>
</div>
</DialogContent>
)
}
export function SettingsDialog(props: SettingsDialogProps) {
return (
<Dialog open={props.open} onOpenChange={props.onOpenChange}>
<Suspense
fallback={
<DialogContent className="sm:max-w-md">
<div className="h-64 flex items-center justify-center">
<div className="animate-spin h-8 w-8 border-4 border-primary border-t-transparent rounded-full" />
</div>
</DialogContent>
}
>
<SettingsContent {...props} />
</Suspense>
<Button onClick={handleSave}>Save</Button>
</DialogFooter>
</DialogContent>
</Dialog>
)
);
}

View File

@@ -1,157 +0,0 @@
"use client"
import * as React from "react"
import * as AlertDialogPrimitive from "@radix-ui/react-alert-dialog"
import { cn } from "@/lib/utils"
import { buttonVariants } from "@/components/ui/button"
function AlertDialog({
...props
}: React.ComponentProps<typeof AlertDialogPrimitive.Root>) {
return <AlertDialogPrimitive.Root data-slot="alert-dialog" {...props} />
}
function AlertDialogTrigger({
...props
}: React.ComponentProps<typeof AlertDialogPrimitive.Trigger>) {
return (
<AlertDialogPrimitive.Trigger data-slot="alert-dialog-trigger" {...props} />
)
}
function AlertDialogPortal({
...props
}: React.ComponentProps<typeof AlertDialogPrimitive.Portal>) {
return (
<AlertDialogPrimitive.Portal data-slot="alert-dialog-portal" {...props} />
)
}
function AlertDialogOverlay({
className,
...props
}: React.ComponentProps<typeof AlertDialogPrimitive.Overlay>) {
return (
<AlertDialogPrimitive.Overlay
data-slot="alert-dialog-overlay"
className={cn(
"data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 fixed inset-0 z-50 bg-black/50",
className
)}
{...props}
/>
)
}
function AlertDialogContent({
className,
...props
}: React.ComponentProps<typeof AlertDialogPrimitive.Content>) {
return (
<AlertDialogPortal>
<AlertDialogOverlay />
<AlertDialogPrimitive.Content
data-slot="alert-dialog-content"
className={cn(
"bg-background data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 fixed top-[50%] left-[50%] z-50 grid w-full max-w-[calc(100%-2rem)] translate-x-[-50%] translate-y-[-50%] gap-4 rounded-lg border p-6 shadow-lg duration-200 sm:max-w-lg",
className
)}
{...props}
/>
</AlertDialogPortal>
)
}
function AlertDialogHeader({
className,
...props
}: React.ComponentProps<"div">) {
return (
<div
data-slot="alert-dialog-header"
className={cn("flex flex-col gap-2 text-center sm:text-left", className)}
{...props}
/>
)
}
function AlertDialogFooter({
className,
...props
}: React.ComponentProps<"div">) {
return (
<div
data-slot="alert-dialog-footer"
className={cn(
"flex flex-col-reverse gap-2 sm:flex-row sm:justify-end",
className
)}
{...props}
/>
)
}
function AlertDialogTitle({
className,
...props
}: React.ComponentProps<typeof AlertDialogPrimitive.Title>) {
return (
<AlertDialogPrimitive.Title
data-slot="alert-dialog-title"
className={cn("text-lg font-semibold", className)}
{...props}
/>
)
}
function AlertDialogDescription({
className,
...props
}: React.ComponentProps<typeof AlertDialogPrimitive.Description>) {
return (
<AlertDialogPrimitive.Description
data-slot="alert-dialog-description"
className={cn("text-muted-foreground text-sm", className)}
{...props}
/>
)
}
function AlertDialogAction({
className,
...props
}: React.ComponentProps<typeof AlertDialogPrimitive.Action>) {
return (
<AlertDialogPrimitive.Action
className={cn(buttonVariants(), className)}
{...props}
/>
)
}
function AlertDialogCancel({
className,
...props
}: React.ComponentProps<typeof AlertDialogPrimitive.Cancel>) {
return (
<AlertDialogPrimitive.Cancel
className={cn(buttonVariants({ variant: "outline" }), className)}
{...props}
/>
)
}
export {
AlertDialog,
AlertDialogPortal,
AlertDialogOverlay,
AlertDialogTrigger,
AlertDialogContent,
AlertDialogHeader,
AlertDialogFooter,
AlertDialogTitle,
AlertDialogDescription,
AlertDialogAction,
AlertDialogCancel,
}

View File

@@ -1,33 +0,0 @@
"use client"
import * as CollapsiblePrimitive from "@radix-ui/react-collapsible"
function Collapsible({
...props
}: React.ComponentProps<typeof CollapsiblePrimitive.Root>) {
return <CollapsiblePrimitive.Root data-slot="collapsible" {...props} />
}
function CollapsibleTrigger({
...props
}: React.ComponentProps<typeof CollapsiblePrimitive.CollapsibleTrigger>) {
return (
<CollapsiblePrimitive.CollapsibleTrigger
data-slot="collapsible-trigger"
{...props}
/>
)
}
function CollapsibleContent({
...props
}: React.ComponentProps<typeof CollapsiblePrimitive.CollapsibleContent>) {
return (
<CollapsiblePrimitive.CollapsibleContent
data-slot="collapsible-content"
{...props}
/>
)
}
export { Collapsible, CollapsibleTrigger, CollapsibleContent }

View File

@@ -1,191 +0,0 @@
"use client"
import * as React from "react"
import { Command as CommandPrimitive } from "cmdk"
import { SearchIcon } from "lucide-react"
import { cn } from "@/lib/utils"
import {
Dialog,
DialogContent,
DialogDescription,
DialogHeader,
DialogTitle,
} from "@/components/ui/dialog"
function Command({
className,
...props
}: React.ComponentProps<typeof CommandPrimitive>) {
return (
<CommandPrimitive
data-slot="command"
className={cn(
"bg-popover text-popover-foreground flex h-full w-full flex-col overflow-hidden rounded-md",
className
)}
{...props}
/>
)
}
function CommandDialog({
title = "Command Palette",
description = "Search for a command to run...",
children,
className,
...props
}: React.ComponentProps<typeof Dialog> & {
title?: string
description?: string
className?: string
}) {
return (
<Dialog {...props}>
<DialogHeader className="sr-only">
<DialogTitle>{title}</DialogTitle>
<DialogDescription>{description}</DialogDescription>
</DialogHeader>
<DialogContent className={cn("overflow-hidden p-0", className)}>
<Command className="[&_[cmdk-group-heading]]:text-muted-foreground **:data-[slot=command-input-wrapper]:h-12 [&_[cmdk-group-heading]]:px-2 [&_[cmdk-group-heading]]:font-medium [&_[cmdk-group]]:px-2 [&_[cmdk-group]:not([hidden])_~[cmdk-group]]:pt-0 [&_[cmdk-input-wrapper]_svg]:h-5 [&_[cmdk-input-wrapper]_svg]:w-5 [&_[cmdk-input]]:h-12 [&_[cmdk-item]]:px-2 [&_[cmdk-item]]:py-3 [&_[cmdk-item]_svg]:h-5 [&_[cmdk-item]_svg]:w-5">
{children}
</Command>
</DialogContent>
</Dialog>
)
}
function CommandInput({
className,
...props
}: React.ComponentProps<typeof CommandPrimitive.Input>) {
return (
<div
data-slot="command-input-wrapper"
className="flex h-9 items-center gap-2 border-b px-3"
>
<SearchIcon className="size-4 shrink-0 opacity-50" />
<CommandPrimitive.Input
data-slot="command-input"
className={cn(
"placeholder:text-muted-foreground flex h-10 w-full rounded-md bg-transparent py-3 text-sm outline-hidden disabled:cursor-not-allowed disabled:opacity-50",
className
)}
{...props}
/>
</div>
)
}
function CommandList({
className,
...props
}: React.ComponentProps<typeof CommandPrimitive.List>) {
return (
<CommandPrimitive.List
data-slot="command-list"
className={cn(
"max-h-[300px] scroll-py-1 overflow-x-hidden overflow-y-auto",
className
)}
{...props}
/>
)
}
function CommandEmpty({
...props
}: React.ComponentProps<typeof CommandPrimitive.Empty>) {
return (
<CommandPrimitive.Empty
data-slot="command-empty"
className="py-6 text-center text-sm"
{...props}
/>
)
}
function CommandGroup({
className,
...props
}: React.ComponentProps<typeof CommandPrimitive.Group>) {
return (
<CommandPrimitive.Group
data-slot="command-group"
className={cn(
"text-foreground [&_[cmdk-group-heading]]:text-muted-foreground overflow-hidden p-1 [&_[cmdk-group-heading]]:px-2 [&_[cmdk-group-heading]]:py-1.5 [&_[cmdk-group-heading]]:text-xs [&_[cmdk-group-heading]]:font-medium",
className
)}
{...props}
/>
)
}
function CommandSeparator({
className,
...props
}: React.ComponentProps<typeof CommandPrimitive.Separator>) {
return (
<CommandPrimitive.Separator
data-slot="command-separator"
className={cn("bg-border -mx-1 h-px", className)}
{...props}
/>
)
}
function CommandItem({
className,
...props
}: React.ComponentProps<typeof CommandPrimitive.Item>) {
return (
<CommandPrimitive.Item
data-slot="command-item"
className={cn(
"data-[selected=true]:bg-accent data-[selected=true]:text-accent-foreground [&_svg:not([class*='text-'])]:text-muted-foreground relative flex cursor-default items-center gap-2 rounded-sm px-2 py-1.5 text-sm outline-hidden select-none data-[disabled=true]:pointer-events-none data-[disabled=true]:opacity-50 [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4",
className
)}
onMouseEnter={(e) => {
// Ensure hover updates selection for visual feedback
const item = e.currentTarget
item.setAttribute("data-selected", "true")
// Deselect siblings
const siblings = item.parentElement?.querySelectorAll("[cmdk-item]")
siblings?.forEach((sibling) => {
if (sibling !== item) {
sibling.setAttribute("data-selected", "false")
}
})
}}
{...props}
/>
)
}
function CommandShortcut({
className,
...props
}: React.ComponentProps<"span">) {
return (
<span
data-slot="command-shortcut"
className={cn(
"text-muted-foreground ml-auto text-xs tracking-widest",
className
)}
{...props}
/>
)
}
export {
Command,
CommandDialog,
CommandInput,
CommandList,
CommandEmpty,
CommandGroup,
CommandItem,
CommandShortcut,
CommandSeparator,
}

View File

@@ -1,24 +0,0 @@
"use client"
import * as React from "react"
import * as LabelPrimitive from "@radix-ui/react-label"
import { cn } from "@/lib/utils"
function Label({
className,
...props
}: React.ComponentProps<typeof LabelPrimitive.Root>) {
return (
<LabelPrimitive.Root
data-slot="label"
className={cn(
"flex items-center gap-2 text-sm leading-none font-medium select-none group-data-[disabled=true]:pointer-events-none group-data-[disabled=true]:opacity-50 peer-disabled:cursor-not-allowed peer-disabled:opacity-50",
className
)}
{...props}
/>
)
}
export { Label }

View File

@@ -1,48 +0,0 @@
"use client"
import * as React from "react"
import * as PopoverPrimitive from "@radix-ui/react-popover"
import { cn } from "@/lib/utils"
function Popover({
...props
}: React.ComponentProps<typeof PopoverPrimitive.Root>) {
return <PopoverPrimitive.Root data-slot="popover" {...props} />
}
function PopoverTrigger({
...props
}: React.ComponentProps<typeof PopoverPrimitive.Trigger>) {
return <PopoverPrimitive.Trigger data-slot="popover-trigger" {...props} />
}
function PopoverContent({
className,
align = "center",
sideOffset = 4,
...props
}: React.ComponentProps<typeof PopoverPrimitive.Content>) {
return (
<PopoverPrimitive.Portal>
<PopoverPrimitive.Content
data-slot="popover-content"
align={align}
sideOffset={sideOffset}
className={cn(
"bg-popover text-popover-foreground data-[state=open]:animate-in data-[state=closed]:animate-out data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0 data-[state=closed]:zoom-out-95 data-[state=open]:zoom-in-95 data-[side=bottom]:slide-in-from-top-2 data-[side=left]:slide-in-from-right-2 data-[side=right]:slide-in-from-left-2 data-[side=top]:slide-in-from-bottom-2 z-50 w-72 origin-(--radix-popover-content-transform-origin) rounded-md border p-4 shadow-md outline-hidden",
className
)}
{...props}
/>
</PopoverPrimitive.Portal>
)
}
function PopoverAnchor({
...props
}: React.ComponentProps<typeof PopoverPrimitive.Anchor>) {
return <PopoverPrimitive.Anchor data-slot="popover-anchor" {...props} />
}
export { Popover, PopoverTrigger, PopoverContent, PopoverAnchor }

View File

@@ -1,31 +0,0 @@
"use client"
import * as React from "react"
import * as SwitchPrimitive from "@radix-ui/react-switch"
import { cn } from "@/lib/utils"
function Switch({
className,
...props
}: React.ComponentProps<typeof SwitchPrimitive.Root>) {
return (
<SwitchPrimitive.Root
data-slot="switch"
className={cn(
"peer data-[state=checked]:bg-primary data-[state=unchecked]:bg-input focus-visible:border-ring focus-visible:ring-ring/50 dark:data-[state=unchecked]:bg-input/80 inline-flex h-[1.15rem] w-8 shrink-0 items-center rounded-full border border-transparent shadow-xs transition-all outline-none focus-visible:ring-[3px] disabled:cursor-not-allowed disabled:opacity-50",
className
)}
{...props}
>
<SwitchPrimitive.Thumb
data-slot="switch-thumb"
className={cn(
"bg-background dark:data-[state=unchecked]:bg-foreground dark:data-[state=checked]:bg-primary-foreground pointer-events-none block size-4 rounded-full ring-0 transition-transform data-[state=checked]:translate-x-[calc(100%-2px)] data-[state=unchecked]:translate-x-0"
)}
/>
</SwitchPrimitive.Root>
)
}
export { Switch }

View File

@@ -1,344 +1,194 @@
"use client"
"use client";
import type React from "react"
import { createContext, useContext, useEffect, useRef, useState } from "react"
import type { DrawIoEmbedRef } from "react-drawio"
import { STORAGE_DIAGRAM_XML_KEY } from "@/components/chat-panel"
import type { ExportFormat } from "@/components/save-dialog"
import { getApiEndpoint } from "@/lib/base-path"
import { extractDiagramXML, validateAndFixXml } from "../lib/utils"
import React, { createContext, useContext, useRef, useState } from "react";
import type { DrawIoEmbedRef } from "react-drawio";
import { extractDiagramXML } from "../lib/utils";
import type { ExportFormat } from "@/components/save-dialog";
interface DiagramContextType {
chartXML: string
latestSvg: string
diagramHistory: { svg: string; xml: string }[]
loadDiagram: (chart: string, skipValidation?: boolean) => string | null
handleExport: () => void
handleExportWithoutHistory: () => void
resolverRef: React.Ref<((value: string) => void) | null>
drawioRef: React.Ref<DrawIoEmbedRef | null>
handleDiagramExport: (data: any) => void
clearDiagram: () => void
saveDiagramToFile: (
filename: string,
format: ExportFormat,
sessionId?: string,
) => void
saveDiagramToStorage: () => Promise<void>
isDrawioReady: boolean
onDrawioLoad: () => void
resetDrawioReady: () => void
showSaveDialog: boolean
setShowSaveDialog: (show: boolean) => void
chartXML: string;
latestSvg: string;
diagramHistory: { svg: string; xml: string }[];
loadDiagram: (chart: string) => void;
handleExport: () => void;
handleExportWithoutHistory: () => void;
resolverRef: React.Ref<((value: string) => void) | null>;
drawioRef: React.Ref<DrawIoEmbedRef | null>;
handleDiagramExport: (data: any) => void;
clearDiagram: () => void;
saveDiagramToFile: (filename: string, format: ExportFormat, sessionId?: string) => void;
}
const DiagramContext = createContext<DiagramContextType | undefined>(undefined)
const DiagramContext = createContext<DiagramContextType | undefined>(undefined);
export function DiagramProvider({ children }: { children: React.ReactNode }) {
const [chartXML, setChartXML] = useState<string>("")
const [latestSvg, setLatestSvg] = useState<string>("")
const [chartXML, setChartXML] = useState<string>("");
const [latestSvg, setLatestSvg] = useState<string>("");
const [diagramHistory, setDiagramHistory] = useState<
{ svg: string; xml: string }[]
>([])
const [isDrawioReady, setIsDrawioReady] = useState(false)
const [canSaveDiagram, setCanSaveDiagram] = useState(false)
const [showSaveDialog, setShowSaveDialog] = useState(false)
const hasCalledOnLoadRef = useRef(false)
const drawioRef = useRef<DrawIoEmbedRef | null>(null)
const resolverRef = useRef<((value: string) => void) | null>(null)
>([]);
const drawioRef = useRef<DrawIoEmbedRef | null>(null);
const resolverRef = useRef<((value: string) => void) | null>(null);
// Track if we're expecting an export for history (user-initiated)
const expectHistoryExportRef = useRef<boolean>(false)
// Track if diagram has been restored from localStorage
const hasDiagramRestoredRef = useRef<boolean>(false)
const onDrawioLoad = () => {
// Only set ready state once to prevent infinite loops
if (hasCalledOnLoadRef.current) return
hasCalledOnLoadRef.current = true
// console.log("[DiagramContext] DrawIO loaded, setting ready state")
setIsDrawioReady(true)
}
const resetDrawioReady = () => {
// console.log("[DiagramContext] Resetting DrawIO ready state")
hasCalledOnLoadRef.current = false
setIsDrawioReady(false)
}
// Restore diagram XML when DrawIO becomes ready
// eslint-disable-next-line react-hooks/exhaustive-deps -- loadDiagram uses refs internally and is stable
useEffect(() => {
// Reset restore flag when DrawIO is not ready (e.g., theme/UI change remounts it)
if (!isDrawioReady) {
hasDiagramRestoredRef.current = false
setCanSaveDiagram(false)
return
}
if (hasDiagramRestoredRef.current) return
hasDiagramRestoredRef.current = true
try {
const savedDiagramXml = localStorage.getItem(
STORAGE_DIAGRAM_XML_KEY,
)
if (savedDiagramXml) {
// Skip validation for trusted saved diagrams
loadDiagram(savedDiagramXml, true)
}
} catch (error) {
console.error("Failed to restore diagram from localStorage:", error)
}
// Allow saving after restore is complete
setTimeout(() => {
setCanSaveDiagram(true)
}, 500)
}, [isDrawioReady])
// Save diagram XML to localStorage whenever it changes (debounced)
useEffect(() => {
if (!canSaveDiagram) return
if (!chartXML || chartXML.length <= 300) return
const timeoutId = setTimeout(() => {
localStorage.setItem(STORAGE_DIAGRAM_XML_KEY, chartXML)
}, 1000)
return () => clearTimeout(timeoutId)
}, [chartXML, canSaveDiagram])
const expectHistoryExportRef = useRef<boolean>(false);
// Track if we're expecting an export for file save (stores raw export data)
const saveResolverRef = useRef<{
resolver: ((data: string) => void) | null
format: ExportFormat | null
}>({ resolver: null, format: null })
resolver: ((data: string) => void) | null;
format: ExportFormat | null;
}>({ resolver: null, format: null });
const handleExport = () => {
if (drawioRef.current) {
// Mark that this export should be saved to history
expectHistoryExportRef.current = true
expectHistoryExportRef.current = true;
drawioRef.current.exportDiagram({
format: "xmlsvg",
})
});
}
}
};
const handleExportWithoutHistory = () => {
if (drawioRef.current) {
// Export without saving to history (for edit_diagram fetching current state)
drawioRef.current.exportDiagram({
format: "xmlsvg",
})
});
}
}
// Save current diagram to localStorage (used before theme/UI changes)
const saveDiagramToStorage = async (): Promise<void> => {
if (!drawioRef.current) return
try {
const currentXml = await Promise.race([
new Promise<string>((resolve) => {
resolverRef.current = resolve
drawioRef.current?.exportDiagram({ format: "xmlsvg" })
}),
new Promise<string>((_, reject) =>
setTimeout(() => reject(new Error("Export timeout")), 2000),
),
])
// Only save if diagram has meaningful content (not empty template)
if (currentXml && currentXml.length > 300) {
localStorage.setItem(STORAGE_DIAGRAM_XML_KEY, currentXml)
}
} catch (error) {
console.error("Failed to save diagram to storage:", error)
}
}
const loadDiagram = (
chart: string,
skipValidation?: boolean,
): string | null => {
let xmlToLoad = chart
// Validate XML structure before loading (unless skipped for internal use)
if (!skipValidation) {
const validation = validateAndFixXml(chart)
if (!validation.valid) {
console.warn(
"[loadDiagram] Validation error:",
validation.error,
)
return validation.error
}
// Use fixed XML if auto-fix was applied
if (validation.fixed) {
console.log(
"[loadDiagram] Auto-fixed XML issues:",
validation.fixes,
)
xmlToLoad = validation.fixed
}
}
// Keep chartXML in sync even when diagrams are injected (e.g., display_diagram tool)
setChartXML(xmlToLoad)
};
const loadDiagram = (chart: string) => {
if (drawioRef.current) {
drawioRef.current.load({
xml: xmlToLoad,
})
xml: chart,
});
}
return null
}
};
const handleDiagramExport = (data: any) => {
// Handle save to file if requested (process raw data before extraction)
if (saveResolverRef.current.resolver) {
const format = saveResolverRef.current.format
saveResolverRef.current.resolver(data.data)
saveResolverRef.current = { resolver: null, format: null }
const format = saveResolverRef.current.format;
saveResolverRef.current.resolver(data.data);
saveResolverRef.current = { resolver: null, format: null };
// For non-xmlsvg formats, skip XML extraction as it will fail
// Only drawio (which uses xmlsvg internally) has the content attribute
if (format === "png" || format === "svg") {
return
return;
}
}
const extractedXML = extractDiagramXML(data.data)
setChartXML(extractedXML)
setLatestSvg(data.data)
const extractedXML = extractDiagramXML(data.data);
setChartXML(extractedXML);
setLatestSvg(data.data);
// Only add to history if this was a user-initiated export
// Limit to 20 entries to prevent memory leaks during long sessions
const MAX_HISTORY_SIZE = 20
if (expectHistoryExportRef.current) {
setDiagramHistory((prev) => {
const newHistory = [
...prev,
{
svg: data.data,
xml: extractedXML,
},
]
// Keep only the last MAX_HISTORY_SIZE entries (circular buffer)
return newHistory.slice(-MAX_HISTORY_SIZE)
})
expectHistoryExportRef.current = false
setDiagramHistory((prev) => [
...prev,
{
svg: data.data,
xml: extractedXML,
},
]);
expectHistoryExportRef.current = false;
}
if (resolverRef.current) {
resolverRef.current(extractedXML)
resolverRef.current = null
resolverRef.current(extractedXML);
resolverRef.current = null;
}
}
};
const clearDiagram = () => {
const emptyDiagram = `<mxfile><diagram name="Page-1" id="page-1"><mxGraphModel><root><mxCell id="0"/><mxCell id="1" parent="0"/></root></mxGraphModel></diagram></mxfile>`
// Skip validation for trusted internal template (loadDiagram also sets chartXML)
loadDiagram(emptyDiagram, true)
setLatestSvg("")
setDiagramHistory([])
}
const emptyDiagram = `<mxfile><diagram name="Page-1" id="page-1"><mxGraphModel><root><mxCell id="0"/><mxCell id="1" parent="0"/></root></mxGraphModel></diagram></mxfile>`;
loadDiagram(emptyDiagram);
setChartXML(emptyDiagram);
setLatestSvg("");
setDiagramHistory([]);
};
const saveDiagramToFile = (
filename: string,
format: ExportFormat,
sessionId?: string,
) => {
const saveDiagramToFile = (filename: string, format: ExportFormat, sessionId?: string) => {
if (!drawioRef.current) {
console.warn("Draw.io editor not ready")
return
console.warn("Draw.io editor not ready");
return;
}
// Map format to draw.io export format
const drawioFormat = format === "drawio" ? "xmlsvg" : format
const drawioFormat = format === "drawio" ? "xmlsvg" : format;
// Set up the resolver before triggering export
saveResolverRef.current = {
resolver: (exportData: string) => {
let fileContent: string | Blob
let mimeType: string
let extension: string
let fileContent: string | Blob;
let mimeType: string;
let extension: string;
if (format === "drawio") {
// Extract XML from SVG for .drawio format
const xml = extractDiagramXML(exportData)
let xmlContent = xml
const xml = extractDiagramXML(exportData);
let xmlContent = xml;
if (!xml.includes("<mxfile")) {
xmlContent = `<mxfile><diagram name="Page-1" id="page-1">${xml}</diagram></mxfile>`
xmlContent = `<mxfile><diagram name="Page-1" id="page-1">${xml}</diagram></mxfile>`;
}
fileContent = xmlContent
mimeType = "application/xml"
extension = ".drawio"
// Save to localStorage when user manually saves
localStorage.setItem(STORAGE_DIAGRAM_XML_KEY, xmlContent)
fileContent = xmlContent;
mimeType = "application/xml";
extension = ".drawio";
} else if (format === "png") {
// PNG data comes as base64 data URL
fileContent = exportData
mimeType = "image/png"
extension = ".png"
fileContent = exportData;
mimeType = "image/png";
extension = ".png";
} else {
// SVG format
fileContent = exportData
mimeType = "image/svg+xml"
extension = ".svg"
fileContent = exportData;
mimeType = "image/svg+xml";
extension = ".svg";
}
// Log save event to Langfuse (flags the trace)
logSaveToLangfuse(filename, format, sessionId)
logSaveToLangfuse(filename, format, sessionId);
// Handle download
let url: string
if (
typeof fileContent === "string" &&
fileContent.startsWith("data:")
) {
let url: string;
if (typeof fileContent === "string" && fileContent.startsWith("data:")) {
// Already a data URL (PNG)
url = fileContent
url = fileContent;
} else {
const blob = new Blob([fileContent], { type: mimeType })
url = URL.createObjectURL(blob)
const blob = new Blob([fileContent], { type: mimeType });
url = URL.createObjectURL(blob);
}
const a = document.createElement("a")
a.href = url
a.download = `${filename}${extension}`
document.body.appendChild(a)
a.click()
document.body.removeChild(a)
const a = document.createElement("a");
a.href = url;
a.download = `${filename}${extension}`;
document.body.appendChild(a);
a.click();
document.body.removeChild(a);
// Delay URL revocation to ensure download completes
if (!url.startsWith("data:")) {
setTimeout(() => URL.revokeObjectURL(url), 100)
setTimeout(() => URL.revokeObjectURL(url), 100);
}
},
format,
}
};
// Export diagram - callback will be handled in handleDiagramExport
drawioRef.current.exportDiagram({ format: drawioFormat })
}
drawioRef.current.exportDiagram({ format: drawioFormat });
};
// Log save event to Langfuse (just flags the trace, doesn't send content)
const logSaveToLangfuse = async (
filename: string,
format: string,
sessionId?: string,
) => {
const logSaveToLangfuse = async (filename: string, format: string, sessionId?: string) => {
try {
await fetch(getApiEndpoint("/api/log-save"), {
await fetch("/api/log-save", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ filename, format, sessionId }),
})
});
} catch (error) {
console.warn("Failed to log save to Langfuse:", error)
console.warn("Failed to log save to Langfuse:", error);
}
}
};
return (
<DiagramContext.Provider
@@ -354,23 +204,17 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
handleDiagramExport,
clearDiagram,
saveDiagramToFile,
saveDiagramToStorage,
isDrawioReady,
onDrawioLoad,
resetDrawioReady,
showSaveDialog,
setShowSaveDialog,
}}
>
{children}
</DiagramContext.Provider>
)
);
}
export function useDiagram() {
const context = useContext(DiagramContext)
const context = useContext(DiagramContext);
if (context === undefined) {
throw new Error("useDiagram must be used within a DiagramProvider")
throw new Error("useDiagram must be used within a DiagramProvider");
}
return context
return context;
}

View File

@@ -1,17 +0,0 @@
services:
drawio:
image: jgraph/drawio:latest
ports: ["8080:8080"]
next-ai-draw-io:
build:
context: .
args:
- NEXT_PUBLIC_DRAWIO_BASE_URL=http://localhost:8080
# Uncomment below for subdirectory deployment
# - NEXT_PUBLIC_BASE_PATH=/nextaidrawio
ports: ["3000:3000"]
env_file: .env
environment:
# For subdirectory deployment, uncomment and set your path:
# NEXT_PUBLIC_BASE_PATH: /nextaidrawio
depends_on: [drawio]

View File

@@ -63,40 +63,17 @@ Optional custom endpoint:
DEEPSEEK_BASE_URL=https://your-custom-endpoint
```
### SiliconFlow (OpenAI-compatible)
```bash
SILICONFLOW_API_KEY=your_api_key
AI_MODEL=deepseek-ai/DeepSeek-V3 # example; use any SiliconFlow model id
```
Optional custom endpoint (defaults to the recommended domain):
```bash
SILICONFLOW_BASE_URL=https://api.siliconflow.com/v1 # or https://api.siliconflow.cn/v1
```
### Azure OpenAI
```bash
AZURE_API_KEY=your_api_key
AZURE_RESOURCE_NAME=your-resource-name # Required: your Azure resource name
AI_MODEL=your-deployment-name
```
Or use a custom endpoint instead of resource name:
Optional custom endpoint:
```bash
AZURE_API_KEY=your_api_key
AZURE_BASE_URL=https://your-resource.openai.azure.com # Alternative to AZURE_RESOURCE_NAME
AI_MODEL=your-deployment-name
```
Optional reasoning configuration:
```bash
AZURE_REASONING_EFFORT=low # Optional: low, medium, high
AZURE_REASONING_SUMMARY=detailed # Optional: none, brief, detailed
AZURE_BASE_URL=https://your-resource.openai.azure.com
```
### AWS Bedrock
@@ -108,7 +85,7 @@ AWS_SECRET_ACCESS_KEY=your_secret_access_key
AI_MODEL=anthropic.claude-sonnet-4-5-20250514-v1:0
```
Note: On AWS (Lambda, EC2 with IAM role), credentials are automatically obtained from the IAM role.
Note: On AWS (Amplify, Lambda, EC2 with IAM role), credentials are automatically obtained from the IAM role.
### OpenRouter
@@ -136,42 +113,6 @@ Optional custom URL:
OLLAMA_BASE_URL=http://localhost:11434
```
### Vercel AI Gateway
Vercel AI Gateway provides unified access to multiple AI providers through a single API key. This simplifies authentication and allows you to switch between providers without managing multiple API keys.
**Basic Usage (Vercel-hosted Gateway):**
```bash
AI_GATEWAY_API_KEY=your_gateway_api_key
AI_MODEL=openai/gpt-4o
```
**Custom Gateway URL (for local development or self-hosted Gateway):**
```bash
AI_GATEWAY_API_KEY=your_custom_api_key
AI_GATEWAY_BASE_URL=https://your-custom-gateway.com/v1/ai
AI_MODEL=openai/gpt-4o
```
Model format uses `provider/model` syntax:
- `openai/gpt-4o` - OpenAI GPT-4o
- `anthropic/claude-sonnet-4-5` - Anthropic Claude Sonnet 4.5
- `google/gemini-2.0-flash` - Google Gemini 2.0 Flash
**Configuration notes:**
- If `AI_GATEWAY_BASE_URL` is not set, the default Vercel Gateway URL (`https://ai-gateway.vercel.sh/v1/ai`) is used
- Custom base URL is useful for:
- Local development with a custom Gateway instance
- Self-hosted AI Gateway deployments
- Enterprise proxy configurations
- When using a custom base URL, you must also provide `AI_GATEWAY_API_KEY`
Get your API key from the [Vercel AI Gateway dashboard](https://vercel.com/ai-gateway).
## Auto-Detection
If you only configure **one** provider's API key, the system will automatically detect and use that provider. No need to set `AI_PROVIDER`.
@@ -179,7 +120,7 @@ If you only configure **one** provider's API key, the system will automatically
If you configure **multiple** API keys, you must explicitly set `AI_PROVIDER`:
```bash
AI_PROVIDER=google # or: openai, anthropic, deepseek, siliconflow, azure, bedrock, openrouter, ollama, gateway
AI_PROVIDER=google # or: openai, anthropic, deepseek, azure, bedrock, openrouter, ollama
```
## Model Capability Requirements
@@ -192,20 +133,6 @@ This task requires exceptionally strong model capabilities, as it involves gener
**Note on Ollama**: While Ollama is supported as a provider, it's generally not practical for this use case unless you're running high-capability models like DeepSeek R1 or Qwen3-235B locally.
## Temperature Setting
You can optionally configure the temperature via environment variable:
```bash
TEMPERATURE=0 # More deterministic output (recommended for diagrams)
```
**Important**: Leave `TEMPERATURE` unset for models that don't support temperature settings, such as:
- GPT-5.1 and other reasoning models
- Some specialized models
When unset, the model uses its default behavior.
## Recommendations
- **Best experience**: Use models with vision support (GPT-4o, Claude, Gemini) for image-to-diagram features

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@@ -1,39 +0,0 @@
# Offline Deployment
Deploy Next AI Draw.io offline by self-hosting draw.io to replace `embed.diagrams.net`.
**Note:** `NEXT_PUBLIC_DRAWIO_BASE_URL` is a **build-time** variable. Changing it requires rebuilding the Docker image.
## Docker Compose Setup
1. Clone the repository and define API keys in `.env`.
2. Create `docker-compose.yml`:
```yaml
services:
drawio:
image: jgraph/drawio:latest
ports: ["8080:8080"]
next-ai-draw-io:
build:
context: .
args:
- NEXT_PUBLIC_DRAWIO_BASE_URL=http://localhost:8080
ports: ["3000:3000"]
env_file: .env
depends_on: [drawio]
```
3. Run `docker compose up -d` and open `http://localhost:3000`.
## Configuration & Critical Warning
**The `NEXT_PUBLIC_DRAWIO_BASE_URL` must be accessible from the user's browser.**
| Scenario | URL Value |
|----------|-----------|
| Localhost | `http://localhost:8080` |
| Remote/Server | `http://YOUR_SERVER_IP:8080` or `https://drawio.your-domain.com` |
**Do NOT use** internal Docker aliases like `http://drawio:8080`; the browser cannot resolve them.

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@@ -1,78 +0,0 @@
# Draw.io Shape Libraries
Reference: `style="shape=mxgraph.<library>.<shape_name>"`
## Cloud Providers
| Library | Shapes | Prefix | Description | File |
|---------|--------|--------|-------------|------|
| aws4 | 1031 | `mxgraph.aws4` | Amazon Web Services (2025) - EC2, S3, Lambda, RDS, etc. | [aws4.md](./aws4.md) |
| azure2 | 608 | `img/lib/azure2/` | Microsoft Azure (2024) - VMs, Storage, AI, Networking, etc. | [azure2.md](./azure2.md) |
| gcp2 | 297 | `mxgraph.gcp2` | Google Cloud Platform - Compute Engine, BigQuery, GKE, etc. | [gcp2.md](./gcp2.md) |
| alibaba_cloud | 273 | `mxgraph.alibaba_cloud` | Alibaba Cloud - ECS, OSS, RDS, SLB, VPC, etc. | [alibaba_cloud.md](./alibaba_cloud.md) |
| openstack | 18 | `mxgraph.openstack` | OpenStack cloud platform icons | [openstack.md](./openstack.md) |
| digitalocean | 74 | `mxgraph.digitalocean` | DigitalOcean - Droplets, Spaces, Kubernetes, etc. | [digitalocean.md](./digitalocean.md) |
| salesforce | 96 | `mxgraph.salesforce` | Salesforce platform icons | [salesforce.md](./salesforce.md) |
## Networking & Infrastructure
| Library | Shapes | Prefix | Description | File |
|---------|--------|--------|-------------|------|
| cisco19 | 232 | `mxgraph.cisco19` | Cisco network equipment - routers, switches, firewalls | [cisco19.md](./cisco19.md) |
| network | 58 | `mxgraph.networks` | General network diagram symbols | [network.md](./network.md) |
| arista | 45 | `mxgraph.arista` | Arista network switches and equipment | [arista.md](./arista.md) |
| kubernetes | 40 | `mxgraph.kubernetes` | Kubernetes - pods, services, deployments, nodes | [kubernetes.md](./kubernetes.md) |
| vvd | 93 | `mxgraph.vvd` | VMware Validated Design icons | [vvd.md](./vvd.md) |
| rack | 11 | `mxgraph.rack` | Server rack and data center equipment | [rack.md](./rack.md) |
## Business Process
| Library | Shapes | Prefix | Description | File |
|---------|--------|--------|-------------|------|
| bpmn | 39 | `mxgraph.bpmn` | Business Process Model and Notation - events, gateways, tasks | [bpmn.md](./bpmn.md) |
| eip | 36 | `mxgraph.eip` | Enterprise Integration Patterns - messaging, routing | [eip.md](./eip.md) |
| lean_mapping | 13 | `mxgraph.lean_mapping` | Lean/Value Stream Mapping symbols | [lean_mapping.md](./lean_mapping.md) |
## General Diagrams
| Library | Shapes | Prefix | Description | File |
|---------|--------|--------|-------------|------|
| flowchart | 34 | `mxgraph.flowchart` | Standard flowchart symbols - process, decision, data | [flowchart.md](./flowchart.md) |
| basic | 30 | `mxgraph.basic` | Basic shapes - stars, banners, callouts, hearts | [basic.md](./basic.md) |
| arrows2 | 34 | `mxgraph.arrows2` | Arrow shapes and connectors | [arrows2.md](./arrows2.md) |
| infographic | 29 | `mxgraph.infographic` | Infographic elements - charts, icons, badges | [infographic.md](./infographic.md) |
| sitemap | 50 | `mxgraph.sitemap` | Website sitemap icons - pages, forms, navigation | [sitemap.md](./sitemap.md) |
## UI/Mockups
| Library | Shapes | Prefix | Description | File |
|---------|--------|--------|-------------|------|
| android | 17 | `mxgraph.android` | Android UI mockup components | [android.md](./android.md) |
## Enterprise Software
| Library | Shapes | Prefix | Description | File |
|---------|--------|--------|-------------|------|
| citrix | 97 | `mxgraph.citrix` | Citrix virtualization - XenApp, XenDesktop, NetScaler | [citrix.md](./citrix.md) |
| sap | 98 | `mxgraph.sap` | SAP enterprise software icons | [sap.md](./sap.md) |
| mscae | 73 | `mxgraph.mscae` | Microsoft Cloud and Enterprise symbols | [mscae.md](./mscae.md) |
| atlassian | 26 | `mxgraph.atlassian` | Atlassian - Jira, Confluence issue types | [atlassian.md](./atlassian.md) |
## Engineering
| Library | Shapes | Prefix | Description | File |
|---------|--------|--------|-------------|------|
| fluidpower | 246 | `mxgraph.fluid_power` | Hydraulic/pneumatic engineering symbols | [fluidpower.md](./fluidpower.md) |
| electrical | 50 | `mxgraph.electrical` | Electrical circuit symbols - resistors, capacitors | [electrical.md](./electrical.md) |
| pid | 18 | `mxgraph.pid2` | Piping and Instrumentation Diagram symbols | [pid.md](./pid.md) |
| cabinets | 53 | `mxgraph.cabinets` | Electrical cabinet components - breakers, terminals | [cabinets.md](./cabinets.md) |
| floorplan | 44 | `mxgraph.floorplan` | Floor plan furniture and fixtures | [floorplan.md](./floorplan.md) |
## Icons & Graphics
| Library | Shapes | Prefix | Description | File |
|---------|--------|--------|-------------|------|
| webicons | 176 | `mxgraph.webicons` | Web/social media logos - GitHub, Twitter, AWS, etc. | [webicons.md](./webicons.md) |
| un-ocha-icons | 242 | `mxgraph.un-ocha-icons` | UN OCHA humanitarian icons | [un-ocha-icons.md](./un-ocha-icons.md) |
**Total: 33 libraries, 4,281 shapes**

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@@ -1,328 +0,0 @@
# alibaba_cloud
**Type:** mxgraph shapes
**Prefix:** `mxgraph.alibaba_cloud`
## Usage
```xml
<mxCell value="label" style="shape=mxgraph.alibaba_cloud.{shape};fillColor=#FF6A00;strokeColor=none;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="60" as="geometry" />
</mxCell>
```
## Shapes (311)
- `abap_business_application_platform`
- `acms_application_configuration_manangement`
- `acr_cloud_container_registry`
- `actiontrail`
- `adam_advanced_database_and_application_migration`
- `adb_analyticdb_for_mysql`
- `address_purification`
- `afs_fraud_service`
- `agw_aligateway`
- `ahas_application_high_availability_service`
- `airec_artificial_intelligence_recommendation`
- `alb_application_load_balancer_01`
- `alb_application_load_balancer_02`
- `alibaba_cloud_logo`
- `alibaba_cloud_logo_chinese`
- `alibaba_cloud_logo_english`
- `alimail`
- `alimt_machine_translation`
- `aliyun_linux`
- `amqp_advanced_message_queuing_protocol`
- `amscloudapp`
- `analyticdb_for_postgresql`
- `antibot`
- `apigateway`
- `apsara_file_storage_for_hdfs`
- `apsaravideo_vod`
- `arms_application_real-time_monitoring_service`
- `ask_ack_container_service_for_kubernetes`
- `asm_service_mesh`
- `assettech`
- `avds_vulnerability_db_scanning`
- `baas_blockchain_as_a_service`
- `bandwidth_bag`
- `bastionhost`
- `batchcompute`
- `bccluster`
- `beebot`
- `beian`
- `bizdevops`
- `bizworks`
- `bpstudio`
- `cas_ssl_central_authentication_service`
- `cassandra_wide-column_database_01`
- `cassandra_wide-column_database_02`
- `ccc_cloud_call_center`
- `ccn_cloud_connect_network`
- `ccs_customer_service_01`
- `ccs_customer_service_02`
- `cddc_cloud_database_dedicated_cluster`
- `cdn_content_distribution_network`
- `cdp_cloudera_cdp`
- `cdt_cloud_datatransfer`
- `cen_cloud_enterprise_network`
- `cfw_cloud_firewall`
- `cityvisual`
- `clb_classic_load_balancer_01`
- `clb_classic_load_balancer_02`
- `clickhouse`
- `cloud_auth`
- `cloud_config`
- `cloud_display`
- `cloud_governance_center`
- `cloud_security_center`
- `cloud_shield`
- `cloudap`
- `cloudbox`
- `clouddesktop`
- `clouddev`
- `cloudphoto`
- `cloudproc`
- `cloudshell`
- `cmn_cloud_managed_network`
- `cmp_cloud_mobile_push`
- `cms_cloud_monitor_service`
- `codepipeline`
- `codestore`
- `companyreg`
- `computenest`
- `content_security`
- `coo`
- `cpns_cell_phone_number_service`
- `csas_cloud_security_access_service`
- `cvc_cloud_video_conferencing`
- `cwh_cloud_web_hosting`
- `das_database_autonomy_service`
- `databot`
- `datahub`
- `dataphin`
- `dataquotient`
- `datav`
- `dataworks_dataide`
- `dbaudit`
- `dbes_database_expert_service`
- `dbfs_database_file_system`
- `dbs_database_backup`
- `dcdn_dynamic_route_for_cdn`
- `ddh_dedicated_host`
- `ddos-bgp`
- `ddos-dip`
- `ddos-pro`
- `ddos_protection`
- `devops`
- `dg_database_gateway`
- `directmail`
- `disk_block_storage`
- `dlf_data_lake_formation`
- `dms_data_management_service`
- `dns_domain_name_system`
- `dns_privatezone_01`
- `dns_privatezone_02`
- `domain`
- `domain_and_website`
- `drds_distribute_relational_database_service`
- `dsi_data_security_insurance`
- `dts_data_transmission_service`
- `e-mapreduce`
- `eais_elastic_accelerated_computing_instances`
- `eci_elastic_container_instance`
- `ecs_elastic_compute_service`
- `edas_enterprise_distributed_application_service`
- `ehpc_elastic_high_performance_computing`
- `eip_elastic_ip_address`
- `elastic_web_hosting`
- `elasticsearch`
- `emas_enterprise_mobile_application_studio`
- `energyexpert`
- `ens_edge_node_service`
- `enterprise_website`
- `eprofile`
- `esign`
- `ess_elastic_scaling_service`
- `eventbridge`
- `express_connect`
- `face_recognition`
- `fc_function_compute`
- `flow_service`
- `flowbag`
- `fnf_serverless_function_flow`
- `fpga_field_programmable_gate_array`
- `fraud_detection`
- `ga_global_accelerator`
- `gameshield`
- `gdb_graph_database`
- `graphanalytics`
- `graphcompute`
- `gtm_global_traffic_manager`
- `gts_global_transaction_service`
- `gws_graphic_workstation`
- `havip_high-availability_virtual_ip_address`
- `hbase`
- `hbr_hybrid_backup_recovery`
- `hcs-hgw_hybrid_cloud_storage_array`
- `hcs-mgw_hybrid_cloud_storage_datatransport`
- `hcs-sgw_hybrid_cloud_storage_gateway`
- `hdr_hybrid_disaster_recovery`
- `hologres`
- `holowatcher`
- `hsm_hardware_security_module`
- `httpdns`
- `idrsservice`
- `image_recognition`
- `imagesearch`
- `imarketing`
- `imm_intelligent_media_management`
- `imp_intelligent_media_production`
- `imp_low_code_video_factory`
- `indvi_industrial_visual_intelligence`
- `intelligent_advisor`
- `iot_internet_of_things_platform`
- `iot_wireless_connection_service`
- `iotid_identity`
- `iov_iot_vehicle_cloud`
- `ipv6_gateway`
- `isoc_iot_security_operations_center`
- `isu_intelligent_semantic_understanding`
- `ivision`
- `ivpd_intelligent_visual_production`
- `kafka`
- `linkedmall`
- `linkwan`
- `live`
- `livinglink`
- `log_streaming`
- `logic_composer`
- `machine_learning`
- `man_mobile_analytics`
- `mariadb`
- `mas_mobile_acceleration_service`
- `maxcompute`
- `memcache`
- `miniappdev`
- `mns_message_service`
- `mobile_hotfix`
- `mobsec`
- `mongodb`
- `mps-ai`
- `mps-censor`
- `mps-cover`
- `mps-dna`
- `mps-multimod`
- `mps-produce`
- `mps_apsaravideo_media_processing`
- `mq_message_queue`
- `mqc_mobile_quality_center`
- `mse_microservices_engine`
- `multi-cloud_finops`
- `multi-mode_database_lindorm`
- `multimediaai`
- `mxgraph.alibaba_cloud`
- `mysql`
- `nas_network_attached_storage`
- `nat_gateway`
- `network_acl_access_control_list`
- `nlb_network_load_balancer_01`
- `nlb_network_load_balancer_02`
- `nlp-address`
- `nlp-automl`
- `nlp-ie_text_information_extraction`
- `nlp-ke_keyword_extraction`
- `nlp-ner_named_entity_recognition`
- `nlp-pos_part-of-speech_tagging`
- `nlp-ra_reflexive_anaphora`
- `nlp-sa_sentiment_analysis`
- `nlp-tc_text_categorization`
- `nlp-ws_word_segmentation`
- `nlp_natural_language_processing`
- `nls`
- `nls-asrbag`
- `nls-asrcustommodel`
- `nls-filebag`
- `nls-service`
- `nls-shortasrbag`
- `nls-ttsbag`
- `nodejs_performance_platform`
- `oceanbase`
- `ocr_optical_character_recognition`
- `onsmqtt_micro_message_queuing_telemetry_transport`
- `oos_operation_orchestration_service`
- `openanalytics`
- `openapi_explorer`
- `opensearch`
- `oss_object_storage_service`
- `ots_tablestore`
- `outboundbot`
- `pcdn_p2p_cdn`
- `petadata_hybriddb_for_mysql`
- `physical_connection`
- `pnvs_phone_number_verification_service`
- `polardb`
- `porana_portrait_analysis`
- `postgresql`
- `ppas_pay-as-you-go_database`
- `privatelink`
- `prometheus`
- `prophet`
- `pts_performance_test_service`
- `quickbi`
- `ram_resource_access_management`
- `re_recommendation_engine`
- `realtime_compute`
- `redis_kvstore`
- `region`
- `retailir`
- `ros_resource_orchestration_service`
- `route_table`
- `router`
- `rsimganalys`
- `rtc_real-time_communication`
- `sae_serverless_app_engine`
- `sag_smart_access_gateway_01`
- `sag_smart_access_gateway_02`
- `sas_situational_awareness`
- `sca_smart_conversation_analysis_01`
- `sca_smart_conversation_analysis_02`
- `scc_super_computing_cluster`
- `scdn_secure_cdn`
- `scu_storage_capacity_unit`
- `sddp_sensitive_data_protection`
- `shared_bandwidth`
- `shared_flow_bag`
- `shc_shield_hybrid_cloud`
- `slb_server_load_balancer_01`
- `slb_server_load_balancer_02`
- `slb_server_load_balancer_03`
- `sls_simple_log_service`
- `smc_server_migration_center`
- `sms_short_message_service`
- `sos`
- `spark_data_insights`
- `sppc`
- `sqlserver`
- `swas_simple_application_server`
- `tr_transit_router`
- `trademark_service`
- `uis_ultimate_internet_service`
- `user`
- `user_feedback_01`
- `user_feedback_02`
- `vbr_virtual_border_router`
- `vcs_visual_computing_service`
- `vms_voice_messaging_service`
- `voicebot_intelligent_voice_navigation`
- `vpc_virtual_private_cloud`
- `vpn_gateway`
- `vs_video_surveillance`
- `vswitch`
- `waf_web_application_firewall`
- `webplus_web_app_service`
- `xdragon_bare_metal_server`
- `xtrace`
- `yida`

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@@ -1,62 +0,0 @@
# android
**Type:** mxgraph shapes
**Prefix:** `mxgraph.android`
## Usage
```xml
<mxCell value="label" style="shape=mxgraph.android.phone2;strokeColor=#c0c0c0;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="200" height="390" as="geometry" />
</mxCell>
```
## Shapes (47)
- `action_bar`
- `action_bar_landscape`
- `anchor`
- `checkbox`
- `contact_badge_focused`
- `contextual_action_bar`
- `contextual_action_bar_landscape`
- `contextual_split_action_bar`
- `contextual_split_action_bar_landscape`
- `contextual_split_action_bar_landscape_white`
- `indeterminateSpinner`
- `indeterminate_progress_bar`
- `keyboard`
- `navigation_bar_1`
- `navigation_bar_1_landscape`
- `navigation_bar_1_vertical`
- `navigation_bar_2`
- `navigation_bar_3`
- `navigation_bar_3_landscape`
- `navigation_bar_4`
- `navigation_bar_5`
- `navigation_bar_5_vertical`
- `navigation_bar_6`
- `phone2`
- `progressBar`
- `progressScrubberDisabled`
- `progressScrubberFocused`
- `progressScrubberPressed`
- `quick_contact`
- `quickscroll2`
- `quickscroll3`
- `rect`
- `rrect`
- `scrollbars2`
- `spinner2`
- `split_action_bar`
- `split_action_bar_landscape`
- `statusBar`
- `switch_off`
- `switch_on`
- `tab2`
- `textSelHandles`
- `text_insertion_point`
- `textfield`
- `time_picker`
- `time_picker_dark`
- `transparent`

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@@ -1,33 +0,0 @@
# arrows2
**Type:** mxgraph shapes
**Prefix:** `mxgraph.arrows2`
## Usage
```xml
<mxCell value="label" style="shape=mxgraph.arrows2.arrow;fillColor=#dae8fc;strokeColor=#6c8ebf;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="100" height="60" as="geometry" />
</mxCell>
```
## Shapes (18)
- `arrow`
- `bendArrow`
- `bendDoubleArrow`
- `calloutArrow`
- `calloutDouble90Arrow`
- `calloutDoubleArrow`
- `calloutQuadArrow`
- `jumpInArrow`
- `quadArrow`
- `sharpArrow`
- `sharpArrow2`
- `stripedArrow`
- `stylisedArrow`
- `tailedArrow`
- `tailedNotchedArrow`
- `triadArrow`
- `twoWayArrow`
- `uTurnArrow`

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@@ -1,32 +0,0 @@
# atlassian
**Type:** SVG images
**Path:** `img/lib/atlassian/`
## Usage
```xml
<mxCell value="label" style="image;aspect=fixed;image=img/lib/atlassian/Jira_Logo.svg;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="60" as="geometry" />
</mxCell>
```
## Shapes (17)
- `Atlassian_Logo`
- `Bamboo_Logo`
- `Bitbucket_Logo`
- `Clover_Logo`
- `Confluence_Logo`
- `Crowd_Logo`
- `Crucible_Logo`
- `Fisheye_Logo`
- `Hipchat_Logo`
- `Jira_Core_Logo`
- `Jira_Logo`
- `Jira_Service_Desk_Logo`
- `Jira_Software_Logo`
- `Sourcetree_Logo`
- `Statuspage_Logo`
- `Stride_Logo`
- `Trello_Logo`

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# azure2
**Type:** SVG images
**Path:** `img/lib/azure2/`
## Usage
```xml
<mxCell value="label" style="image;aspect=fixed;image=img/lib/azure2/compute/Virtual_Machine.svg;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="60" as="geometry" />
</mxCell>
```
## Shapes (648)
Shapes are organized by category: `azure2/{category}/{shape}.svg`
### ai_machine_learning (30)
- `AI_Studio`
- `Anomaly_Detector`
- `Azure_Applied_AI`
- `Azure_Experimentation_Studio`
- `Azure_Object_Understanding`
- `Azure_OpenAI`
- `Batch_AI`
- `Bonsai`
- `Bot_Services`
- `Cognitive_Services`
- `Cognitive_Services_Decisions`
- `Computer_Vision`
- `Content_Moderators`
- `Content_Safety`
- `Custom_Vision`
- `Face_APIs`
- `Form_Recognizers`
- `Genomics`
- `Immersive_Readers`
- `Language_Services`
- `Language_Understanding`
- `Machine_Learning`
- `Machine_Learning_Studio_Classic_Web_Services`
- `Machine_Learning_Studio_Web_Service_Plans`
- `Machine_Learning_Studio_Workspaces`
- `Personalizers`
- `QnA_Makers`
- `Serverless_Search`
- `Speech_Services`
- `Translator_Text`
### analytics (14)
- `Analysis_Services`
- `Azure_Databricks`
- `Azure_Synapse_Analytics`
- `Azure_Workbooks`
- `Data_Lake_Analytics`
- `Data_Lake_Store_Gen1`
- `Endpoint_Analytics`
- `Event_Hub_Clusters`
- `Event_Hubs`
- `HD_Insight_Clusters`
- `Log_Analytics_Workspaces`
- `Power_BI_Embedded`
- `Power_Platform`
- `Stream_Analytics_Jobs`
### app_services (9)
- `API_Management_Services`
- `App_Service_Certificates`
- `App_Service_Domains`
- `App_Service_Environments`
- `App_Service_Plans`
- `App_Services`
- `CDN_Profiles`
- `Notification_Hubs`
- `Search_Services`
### compute (38)
- `App_Services`
- `Application_Group`
- `Automanaged_VM`
- `Availability_Sets`
- `Azure_Compute_Galleries`
- `Azure_Spring_Cloud`
- `Batch_Accounts`
- `Cloud_Services_Classic`
- `Container_Instances`
- `Container_Services_Deprecated`
- `Disk_Encryption_Sets`
- `Disks`
- `Disks_Classic`
- `Disks_Snapshots`
- `Function_Apps`
- `Host_Groups`
- `Host_Pools`
- `Hosts`
- `Image_Definitions`
- `Image_Templates`
- `Image_Versions`
- `Images`
- `Kubernetes_Services`
- `Maintenance_Configuration`
- `Managed_Service_Fabric`
- `Mesh_Applications`
- `Metrics_Advisor`
- `OS_Images_Classic`
- `Restore_Points`
- `Restore_Points_Collections`
- `Service_Fabric_Clusters`
- `Shared_Image_Galleries`
- `VM_Images_Classic`
- `VM_Scale_Sets`
- `Virtual_Machine`
- `Virtual_Machines_Classic`
- `Workspaces`
- `Workspaces2`
### containers (7)
- `App_Services`
- `Azure_Red_Hat_OpenShift`
- `Batch_Accounts`
- `Container_Instances`
- `Container_Registries`
- `Kubernetes_Services`
- `Service_Fabric_Clusters`
### databases (27)
- `Azure_Cosmos_DB`
- `Azure_Data_Explorer_Clusters`
- `Azure_Database_MariaDB_Server`
- `Azure_Database_Migration_Services`
- `Azure_Database_MySQL_Server`
- `Azure_Database_PostgreSQL_Server`
- `Azure_Database_PostgreSQL_Server_Group`
- `Azure_Purview_Accounts`
- `Azure_SQL`
- `Azure_SQL_Edge`
- `Azure_SQL_Server_Stretch_Databases`
- `Azure_SQL_VM`
- `Azure_Synapse_Analytics`
- `Cache_Redis`
- `Data_Factory`
- `Elastic_Job_Agents`
- `Instance_Pools`
- `Managed_Database`
- `Oracle_Database`
- `SQL_Data_Warehouses`
- `SQL_Database`
- `SQL_Elastic_Pools`
- `SQL_Managed_Instance`
- `SQL_Server`
- `SQL_Server_Registries`
- `SSIS_Lift_And_Shift_IR`
- `Virtual_Clusters`
### identity (35)
- `AAD_Licenses`
- `Active_Directory_Connect_Health`
- `Active_Directory_Connect_Health2`
- `Administrative_Units`
- `App_Registrations`
- `Azure_AD_B2C`
- `Azure_AD_B2C2`
- `Azure_AD_Domain_Services`
- `Azure_AD_Identity_Protection`
- `Azure_AD_Privilege_Identity_Management`
- `Azure_Active_Directory`
- `Azure_Information_Protection`
- `Custom_Azure_AD_Roles`
- `Enterprise_Applications`
- `Entra_Connect`
- `Entra_Domain_Services`
- `Entra_Global_Secure_Access`
- `Entra_ID_Protection`
- `Entra_Internet_Access`
- `Entra_Managed_Identities`
- `Entra_Private_Access`
- `Entra_Privileged_Identity_Management`
- `Entra_Verified_ID`
- `External_Identities`
- `Groups`
- `Identity_Governance`
- `Managed_Identities`
- `Multi_Factor_Authentication`
- `PIM`
- `Security`
- `Tenant_Properties`
- `User_Settings`
- `Users`
- `Verifiable_Credentials`
- `Verification_As_A_Service`
### networking (51)
- `ATM_Multistack`
- `Application_Gateway_Containers`
- `Application_Gateways`
- `Azure_Communications_Gateway`
- `Azure_Firewall_Manager`
- `Azure_Firewall_Policy`
- `Bastions`
- `CDN_Profiles`
- `Connections`
- `DDoS_Protection_Plans`
- `DNS_Multistack`
- `DNS_Private_Resolver`
- `DNS_Security_Policy`
- `DNS_Zones`
- `ExpressRoute_Circuits`
- `Firewalls`
- `Front_Doors`
- `IP_Address_manager`
- `IP_Groups`
- `Load_Balancer_Hub`
- `Load_Balancers`
- `Local_Network_Gateways`
- `NAT`
- `Network_Interfaces`
- `Network_Security_Groups`
- `Network_Watcher`
- `On_Premises_Data_Gateways`
- `Private_Endpoint`
- `Private_Link`
- `Private_Link_Hub`
- `Private_Link_Service`
- `Proximity_Placement_Groups`
- `Public_IP_Addresses`
- `Public_IP_Addresses_Classic`
- `Public_IP_Prefixes`
- `Reserved_IP_Addresses_Classic`
- `Resource_Management_Private_Link`
- `Route_Filters`
- `Route_Tables`
- `Service_Endpoint_Policies`
- `Spot_VM`
- `Spot_VMSS`
- `Subnet`
- `Traffic_Manager_Profiles`
- `Virtual_Network_Gateways`
- `Virtual_Networks`
- `Virtual_Networks_Classic`
- `Virtual_Router`
- `Virtual_WAN_Hub`
- `Virtual_WANs`
- `Web_Application_Firewall_Policies_WAF`
### security (14)
- `Application_Security_Groups`
- `Azure_AD_Risky_Signins`
- `Azure_AD_Risky_Users`
- `Azure_Defender`
- `Azure_Sentinel`
- `Conditional_Access`
- `Detonation`
- `ExtendedSecurityUpdates`
- `Identity_Secure_Score`
- `Key_Vaults`
- `Keys`
- `MS_Defender_EASM`
- `Multifactor_Authentication`
- `Security_Center`
### storage (17)
- `Azure_Fileshare`
- `Azure_HCP_Cache`
- `Azure_NetApp_Files`
- `Azure_Stack_Edge`
- `Data_Box`
- `Data_Box_Edge`
- `Data_Lake_Storage_Gen1`
- `Data_Share_Invitations`
- `Data_Shares`
- `Import_Export_Jobs`
- `Recovery_Services_Vaults`
- `StorSimple_Data_Managers`
- `StorSimple_Device_Managers`
- `Storage_Accounts`
- `Storage_Accounts_Classic`
- `Storage_Explorer`
- `Storage_Sync_Services`
### general (98)
- `All_Resources`
- `Backlog`
- `Biz_Talk`
- `Blob_Block`
- `Blob_Page`
- `Branch`
- `Browser`
- `Bug`
- `Builds`
- `Cache`
- `Code`
- `Commit`
- `Controls`
- `Controls_Horizontal`
- `Cost_Alerts`
- `Cost_Analysis`
- `Cost_Budgets`
- `Cost_Management`
- `Cost_Management_and_Billing`
- `Counter`
- `Cubes`
- `Dashboard`
- `Dashboard2`
- `Dev_Console`
- `Download`
- `Error`
- `Extensions`
- `FTP`
- `File`
- `Files`
- `Folder_Blank`
- `Folder_Website`
- `Free_Services`
- `Gear`
- `Globe`
- `Globe_Error`
- `Globe_Success`
- `Globe_Warning`
- `Guide`
- `Heart`
- `Help_and_Support`
- `Image`
- `Information`
- `Input_Output`
- `Journey_Hub`
- `Launch_Portal`
- `Learn`
- `Load_Test`
- `Location`
- `Log_Streaming`
- `Management_Groups`
- `Management_Portal`
- `Marketplace`
- `Media`
- `Media_File`
- `Mobile`
- `Mobile_Engagement`
- `Module`
- `Power`
- `Power_Up`
- `Powershell`
- `Preview`
- `Preview_Features`
- `Process_Explorer`
- `Production_Ready_Database`
- `Quickstart_Center`
- `Recent`
- `Reservations`
- `Resource_Explorer`
- `Resource_Group_List`
- `Resource_Groups`
- `Resource_Linked`
- `SSD`
- `Scale`
- `Scheduler`
- `Search`
- `Search_Grid`
- `Server_Farm`
- `Service_Bus`
- `Service_Health`
- `Storage_Azure_Files`
- `Storage_Container`
- `Storage_Queue`
- `Subscriptions`
- `TFS_VC_Repository`
- `Table`
- `Tag`
- `Tags`
- `Templates`
- `Toolbox`
- `Troubleshoot`
- `Versions`
- `Web_Slots`
- `Web_Test`
- `Website_Power`
- `Website_Staging`
- `Workbooks`
- `Workflow`
### other (149)
(See draw.io for complete list of 149 shapes in the "other" category)
Selected shapes:
- `Azure_Backup_Center`
- `Azure_Chaos_Studio`
- `Azure_Cloud_Shell`
- `Azure_Communication_Services`
- `Azure_Deployment_Environments`
- `Azure_Load_Testing`
- `Azure_Monitor_Dashboard`
- `Azure_Network_Manager`
- `Azure_Orbital`
- `Azure_Sphere`
- `Azure_Storage_Mover`
- `Grafana`
- `Kubernetes_Fleet_Manager`
- `SSH_Keys`
### Additional Categories
- **azure_ecosystem** (3): Applens, Azure_Hybrid_Center, Collaborative_Service
- **azure_stack** (8): Azure_Stack, Capacity, Infrastructure_Backup, Multi_Tenancy, Offers, Plans, Updates, User_Subscriptions
- **azure_vmware_solution** (1): AVS
- **blockchain** (6): ABS_Member, Azure_Blockchain_Service, Azure_Token_Service, Blockchain_Applications, Consortium, Outbound_Connection
- **cxp** (2): Elixir, Elixir_Purple
- **devops** (10): API_Connections, Application_Insights, Azure_DevOps, Change_Analysis, CloudTest, Code_Optimization, DevOps_Starter, DevTest_Labs, Lab_Accounts, Lab_Services
- **hybrid_multicloud** (5): Azure_Operator_5G_Core, Azure_Operator_Insights, Azure_Operator_Nexus, Azure_Operator_Service_Manager, Azure_Programmable_Connectivity
- **integration** (21): API_Management_Services, App_Configuration, Azure_API_for_FHIR, Azure_Data_Catalog, Event_Grid_Domains, Event_Grid_Subscriptions, Event_Grid_Topics, Integration_Accounts, Integration_Environments, Integration_Service_Environments, Logic_Apps, Logic_Apps_Custom_Connector, Partner_Namespace, Partner_Registration, Partner_Topic, Relays, SQL_Data_Warehouses, SendGrid_Accounts, Service_Bus, Software_as_a_Service, System_Topic
- **internet_of_things** (3): Digital_Twins, Logic_Apps, Time_Series_Insights_Access_Policies
- **intune** (17): Azure_AD_Roles_and_Administrators, Client_Apps, Device_Compliance, Device_Configuration, Device_Enrollment, Device_Security_Apple, Device_Security_Google, Device_Security_Windows, Devices, Exchange_Access, Intune, Intune_For_Education, Mindaro, Security_Baselines, Software_Updates, Tenant_Status, eBooks
- **iot** (19): Azure_IoT_Operations, Azure_Maps_Accounts, Azure_Stack_HCI_Sizer, Device_Provisioning_Services, Digital_Twins, Event_Hubs, Function_Apps, Industrial_IoT, IoT_Central_Applications, IoT_Edge, IoT_Hub, Logic_Apps, Notification_Hubs, Stack_HCI_Premium, Stream_Analytics_Jobs, Time_Series_Data_Sets, Time_Series_Insights_Environments, Time_Series_Insights_Event_Sources, Windows10_Core_Services
- **management_governance** (32): Activity_Log, Advisor, Alerts, Application_Insights, Arc_Machines, Automation_Accounts, Azure_Arc, Azure_Lighthouse, Blueprints, Compliance, Cost_Management_and_Billing, Customer_Lockbox_for_MS_Azure, Diagnostics_Settings, Education, Log_Analytics_Workspaces, MachinesAzureArc, Managed_Applications_Center, Managed_Desktop, Metrics, Monitor, My_Customers, Operation_Log_Classic, Policy, Recovery_Services_Vaults, Resource_Graph_Explorer, Resources_Provider, Scheduler_Job_Collections, Service_Catalog_MAD, Service_Providers, Solutions, Universal_Print, User_Privacy
- **menu** (1): Keys
- **migrate** (5): Azure_Migrate, Cost_Management_and_Billing, Data_Box, Data_Box_Edge, Recovery_Services_Vaults
- **mixed_reality** (2): Remote_Rendering, Spatial_Anchor_Accounts
- **monitor** (1): SAP_Azure_Monitor
- **power_platform** (9): AIBuilder, CopilotStudio, Dataverse, PowerApps, PowerAutomate, PowerBI, PowerFx, PowerPages, PowerPlatform
- **preview** (9): Azure_Cloud_Shell, Azure_Sphere, Azure_Workbooks, IoT_Edge, Private_Link_Hub, RTOS, Static_Apps, Time_Series_Data_Sets, Web_Environment
- **web** (5): API_Center, App_Space, Azure_Media_Service, Notification_Hub_Namespaces, SignalR

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@@ -1,48 +0,0 @@
# basic
**Type:** mxgraph shapes
**Prefix:** `mxgraph.basic`
## Usage
```xml
<mxCell value="label" style="shape=mxgraph.basic.{shape};fillColor=#fff2cc;strokeColor=#d6b656;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="60" as="geometry" />
</mxCell>
```
## Shapes (31)
- `4_point_star`
- `6_point_star`
- `8_point_star`
- `banner`
- `cloud_callout`
- `cloud_rect`
- `cone`
- `cross`
- `document`
- `flash`
- `half_circle`
- `heart`
- `loud_callout`
- `moon`
- `mxgraph.basic`
- `no_symbol`
- `octagon`
- `orthogonal_triangle`
- `oval_callout`
- `parallelepiped`
- `pentagon`
- `pointed_oval`
- `rectangular_callout`
- `rounded_rectangular_callout`
- `smiley`
- `star`
- `sun`
- `tick`
- `trapezoid`
- `wave`
- `x`

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# bpmn
**Type:** mxgraph shapes
**Prefix:** `mxgraph.bpmn`
## Usage
```xml
<mxCell value="label" style="shape=mxgraph.bpmn.shape;symbol=message;outline=throwing;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="60" as="geometry" />
</mxCell>
```
## Parameters
- `outline` - Event type: `start`, `end`, `catching`, `throwing`, `none`
- `symbol` - Icon inside: `message`, `timer`, `error`, `cancel`, `compensation`, `link`, `terminate`, `general`, `multiple`, `rule`
## Shapes (40)
- `ad_hoc`
- `business_rule_task`
- `cancel_end`
- `cancel_intermediate`
- `compensation`
- `compensation_end`
- `compensation_intermediate`
- `error_end`
- `error_intermediate`
- `gateway`
- `gateway_and`
- `gateway_complex`
- `gateway_or`
- `gateway_xor_(data)`
- `gateway_xor_(event)`
- `general_end`
- `general_intermediate`
- `general_start`
- `link_end`
- `link_intermediate`
- `link_start`
- `loop`
- `loop_marker`
- `manual_task`
- `message_end`
- `message_intermediate`
- `message_start`
- `multiple_end`
- `multiple_instances`
- `multiple_intermediate`
- `multiple_start`
- `mxgraph.bpmn`
- `rule_intermediate`
- `rule_start`
- `script_task`
- `service_task`
- `terminate`
- `timer_intermediate`
- `timer_start`
- `user_task`

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@@ -1,71 +0,0 @@
# cabinets
**Type:** mxgraph shapes
**Prefix:** `mxgraph.cabinets`
## Usage
```xml
<mxCell value="label" style="shape=mxgraph.cabinets.{shape};" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="60" as="geometry" />
</mxCell>
```
## Shapes (54)
- `auxiliary_contact_contactor_1_32a`
- `auxiliary_contact_contactor_32_125a`
- `cb_1p`
- `cb_1p_x10`
- `cb_2p`
- `cb_2p_x10`
- `cb_3p`
- `cb_3p_x5`
- `cb_4p`
- `cb_4p_x5`
- `cb_auxiliary_contact`
- `contactor_125_400a`
- `contactor_1_32a`
- `contactor_32_125a`
- `din_rail`
- `distribution_block_4p_125a_11_connections`
- `distribution_block_4p_125a_11_connections_2`
- `mccb_25_63a_3p`
- `mccb_25_63a_4p`
- `mccb_63_250a_3p`
- `mccb_63_250a_4p`
- `motor_cb_125_400a`
- `motor_cb_1_32a`
- `motor_cb_32_125a`
- `motor_protection_cb`
- `motor_starter_125_400a`
- `motor_starter_1_32a`
- `motor_starter_32_125a`
- `motorized_switch_3p`
- `motorized_switch_4p`
- `mxgraph.cabinets`
- `overcurrent_relay_125_400a`
- `overcurrent_relay_1_32a`
- `overcurrent_relay_32_125a`
- `plugin_relay_1`
- `plugin_relay_2`
- `residual_current_device_2p`
- `residual_current_device_4p`
- `surge_protection_1p`
- `surge_protection_2p`
- `surge_protection_3p`
- `surge_protection_4p`
- `terminal_40mm2`
- `terminal_40mm2_x10`
- `terminal_4_6mm2`
- `terminal_4_6mm2_x10`
- `terminal_4mm2`
- `terminal_4mm2_x10`
- `terminal_50mm2`
- `terminal_50mm2_x10`
- `terminal_6_25mm2`
- `terminal_6_25mm2_x10`
- `terminal_75mm2`
- `terminal_75mm2_x10`

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@@ -1,250 +0,0 @@
# cisco19
**Type:** mxgraph shapes
**Prefix:** `mxgraph.cisco19`
## Usage
```xml
<mxCell value="label" style="shape=mxgraph.cisco19.rect;prIcon={shape};fillColor=#00bceb;strokeColor=none;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="60" as="geometry" />
</mxCell>
```
## Shapes (233)
- `3g_4g_indicator`
- `6500_vss`
- `6500_vss2`
- `access_control_and_trustsec`
- `aci`
- `aci2`
- `acibg`
- `acs`
- `ad_decoder`
- `ad_encoder`
- `analysis_correlation`
- `anomaly_detection`
- `anti_malware`
- `anti_malware2`
- `appnav`
- `asa_5500`
- `asr_1000`
- `asr_9000`
- `avc_application_visibility_control`
- `avc_application_visibility_control2`
- `bg1`
- `bg10`
- `bg2`
- `bg3`
- `bg4`
- `bg5`
- `bg6`
- `bg7`
- `bg8`
- `bg9`
- `blade_server`
- `branch`
- `branch2`
- `camera`
- `camera2`
- `cell_phone`
- `cell_phone2`
- `cisco_15800`
- `cisco_dna`
- `cisco_dna_center`
- `cisco_meetingplace_express`
- `cisco_security_manager`
- `cisco_unified_contact_center_enterprise_and_hosted`
- `cisco_unified_presence_service`
- `clock`
- `cloud`
- `cloud2`
- `cognitive`
- `collab1`
- `collab2`
- `collab3`
- `collab4`
- `communications_manager`
- `contact_center_express`
- `content_recording_streaming_server`
- `content_router`
- `csr_1000v`
- `da_decoder`
- `da_encoder`
- `data_center`
- `data_center2`
- `database_relational`
- `dns_server`
- `dns_server2`
- `dual_mode_access_point`
- `email_security`
- `fabric_interconnect`
- `fibre_channel_director_mds_9000`
- `fibre_channel_fabric_switch`
- `firewall`
- `flow_analytics`
- `flow_analytics2`
- `flow_collector`
- `h323`
- `handheld`
- `handheld2`
- `hdtv`
- `hdtv2`
- `home_office`
- `home_office2`
- `host_based_security`
- `hypervisor`
- `immersive_telepresence_endpoint`
- `ip_ip_gateway`
- `ip_phone`
- `ip_phone2`
- `ip_telephone_router`
- `ips_ids`
- `ironport`
- `ise`
- `joystick_keyboard`
- `joystick_keyboard2`
- `key`
- `key2`
- `l2_modular`
- `l2_modular2`
- `l2_switch`
- `l2_switch_with_dual_supervisor`
- `l3_modular`
- `l3_modular2`
- `l3_modular3`
- `l3_switch`
- `l3_switch_with_dual_supervisor`
- `laptop`
- `laptop2`
- `laptop_video_client`
- `laptop_video_client2`
- `layer3_nexus_5k_switch`
- `ldap`
- `ldap2`
- `load_balancer`
- `lock`
- `lock2`
- `media_server`
- `meeting_scheduling_and_management_server`
- `mesh_access_point`
- `monitor`
- `monitoring`
- `multipoint_meeting_server`
- `mxgraph.cisco19`
- `nac_appliance`
- `nam_virtual_service_blade`
- `net_mgmt_appliance`
- `netflow_router`
- `netflow_router2`
- `netflow_router3`
- `next_generation_intrusion_prevention_system`
- `nexus_1010`
- `nexus_1k`
- `nexus_1kv_vsm`
- `nexus_2000_10ge`
- `nexus_2k`
- `nexus_3k`
- `nexus_4k`
- `nexus_5k`
- `nexus_5k_with_integrated_vsm`
- `nexus_7k`
- `nexus_9300`
- `nexus_9500`
- `operations_manager`
- `phone_polycom`
- `phone_polycom2`
- `policy_configuration`
- `pos`
- `pos2`
- `posture_assessment`
- `primary_codec`
- `printer`
- `printer2`
- `router`
- `router_with_firewall`
- `router_with_firewall2`
- `router_with_voice`
- `rps`
- `secondary_codec`
- `secure_catalyst_switch_color`
- `secure_catalyst_switch_color2`
- `secure_catalyst_switch_color3`
- `secure_catalyst_switch_subdued`
- `secure_catalyst_switch_subdued2`
- `secure_endpoint_pc`
- `secure_endpoint_pc2`
- `secure_endpoints`
- `secure_endpoints2`
- `secure_router`
- `secure_server`
- `secure_server2`
- `secure_switch`
- `security_management`
- `server`
- `server2`
- `service_ready_engine`
- `set_top`
- `set_top2`
- `shield`
- `ssl_terminator`
- `stealthwatch_management_console_smc`
- `stealthwatch_management_console_smc2`
- `storage`
- `surveillance_camera`
- `surveillance_camera2`
- `tablet`
- `tablet2`
- `telepresence_endpoint`
- `telepresence_endpoint_twin_data_display`
- `telepresence_exchange`
- `threat_intelligence`
- `transcoder`
- `ucs_5108_blade_chassis`
- `ucs_c_series_server`
- `ucs_express`
- `unity`
- `upc_unified_personal_communicator`
- `upc_unified_personal_communicator2`
- `ups`
- `user`
- `user2`
- `vbond`
- `video_analytics`
- `video_call_server`
- `video_gateway`
- `virtual_desktop_service`
- `virtual_matrix_switch`
- `virtual_private_network`
- `virtual_private_network2`
- `virtual_private_network_connector`
- `vmanage`
- `vpn_concentrator`
- `vsmart`
- `vts`
- `vts2`
- `web_application_firewall`
- `web_reputation_filtering`
- `web_reputation_filtering_2`
- `web_security`
- `web_security_services`
- `web_security_services2`
- `webex`
- `wifi_indicator`
- `wireless_access_point`
- `wireless_access_point2`
- `wireless_bridge`
- `wireless_bridge2`
- `wireless_connector`
- `wireless_intrusion_prevention`
- `wireless_lan_controller`
- `wireless_location_appliance`
- `wireless_router`
- `workgroup_switch`
- `workstation`
- `workstation2`
- `x509_certificate`
- `x509_certificate2`

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@@ -1,115 +0,0 @@
# citrix
**Type:** mxgraph shapes
**Prefix:** `mxgraph.citrix`
## Usage
```xml
<mxCell value="label" style="shape=mxgraph.citrix.{shape};fillColor=#00A4E4;strokeColor=none;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="60" as="geometry" />
</mxCell>
```
## Shapes (98)
- `1u_2u_server`
- `access_card`
- `branch_repeater`
- `browser`
- `cache_server`
- `calendar`
- `cell_phone`
- `chassis`
- `citrix_hdx`
- `citrix_logo`
- `cloud`
- `command_center`
- `database`
- `database_server`
- `datacenter`
- `desktop`
- `desktop_web`
- `dhcp_server`
- `directory_server`
- `dns_server`
- `document`
- `edgesight_server`
- `file_server`
- `firewall`
- `ftp_server`
- `geolocation_database`
- `globe`
- `goto_meeting`
- `government`
- `home_office`
- `hq_enterprise`
- `inspection`
- `ip_phone`
- `kiosk`
- `laptop_1`
- `laptop_2`
- `license_server`
- `merchandising_server`
- `middleware`
- `mxgraph.citrix`
- `netscaler_gateway`
- `netscaler_mpx`
- `netscaler_sdx`
- `netscaler_vpx`
- `pbx_server`
- `pda`
- `podio`
- `printer`
- `process`
- `provisioning_server`
- `proxy_server`
- `radius_server`
- `remote_office`
- `reporting`
- `role_appcontroller`
- `role_applications`
- `role_cloudbridge`
- `role_desktops`
- `role_load_testing_controller`
- `role_load_testing_launcher`
- `role_receiver`
- `role_repeater`
- `role_secure_access`
- `role_security`
- `role_services`
- `role_storefront`
- `role_storefront_services`
- `role_synchronizer`
- `role_xenmobile`
- `role_xenmobile_device_manager`
- `router`
- `security`
- `sharefile`
- `site`
- `smtp_server`
- `storefront_services`
- `switch`
- `tablet_1`
- `tablet_2`
- `thin_client`
- `tower_server`
- `user_control`
- `users`
- `web_server`
- `web_service`
- `worxenroll`
- `worxhome`
- `worxmail`
- `worxweb`
- `xenapp_server`
- `xenapp_services`
- `xenapp_web`
- `xencenter`
- `xenclient`
- `xenclient_synchronizer`
- `xendesktop_server`
- `xenmobile`
- `xenserver`

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@@ -1,50 +0,0 @@
# electrical
**Type:** mxgraph shapes
**Prefix:** `mxgraph.electrical`
## Usage
```xml
<mxCell value="label" style="shape=mxgraph.electrical.resistors.resistor_1;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="20" as="geometry" />
</mxCell>
```
Shapes are organized by category: `mxgraph.electrical.{category}.{shape}`
## Categories
### resistors
- `resistor_1`
- `resistor_2`
### capacitors
- `capacitor_1`
- `capacitor_3`
### inductors
- `inductor_3`
- `transformer_1`
### diodes
- `diode`
- `zener_diode_1`
### transistors
- `npn_transistor_1`
- `pnp_transistor_1`
### mosfets1
- `n-channel_mosfet_1`
- `p-channel_mosfet_1`
### logic_gates
- `logic_gate`
- `dual_inline_ic`
### electro-mechanical
- `singleSwitch`
- `pushbutton`
(See draw.io Electrical shape library for complete list)

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@@ -1,62 +0,0 @@
# floorplan
**Type:** mxgraph shapes
**Prefix:** `mxgraph.floorplan`
## Usage
```xml
<mxCell value="label" style="shape=mxgraph.floorplan.{shape};fillColor=#ffffff;strokeColor=#000000;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="60" as="geometry" />
</mxCell>
```
## Shapes (45)
- `bathtub`
- `bathtub2`
- `bed_double`
- `bed_single`
- `bookcase`
- `chair`
- `copier`
- `couch`
- `crt_tv`
- `desk_corner`
- `desk_corner_2`
- `dresser`
- `drying_machine`
- `elevator`
- `fireplace`
- `flat_tv`
- `floor_lamp`
- `laptop`
- `mxgraph.floorplan`
- `office_chair`
- `piano`
- `plant`
- `printer`
- `range_1`
- `range_2`
- `refrigerator`
- `shower`
- `shower2`
- `sink_1`
- `sink_2`
- `sink_22`
- `sink_double`
- `sink_double2`
- `sofa`
- `spiral_stairs`
- `table`
- `table_1`
- `table_2`
- `table_3`
- `table_4`
- `table_5`
- `toilet`
- `washing_machine`
- `water_cooler`
- `workstation`

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# flowchart
**Type:** mxgraph shapes
**Prefix:** `mxgraph.flowchart`
## Usage
```xml
<mxCell value="label" style="shape=mxgraph.flowchart.{shape};fillColor=#d5e8d4;strokeColor=#82b366;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="60" as="geometry" />
</mxCell>
```
## Shapes (35)
- `annotation_1`
- `annotation_2`
- `card`
- `collate`
- `data`
- `database`
- `decision`
- `delay`
- `direct_data`
- `display`
- `document`
- `extract_or_measurement`
- `internal_storage`
- `loop_limit`
- `manual_input`
- `manual_operation`
- `merge_or_storage`
- `multi-document`
- `mxgraph.flowchart`
- `off-page_reference`
- `on-page_reference`
- `or`
- `paper_tape`
- `parallel_mode`
- `predefined_process`
- `preparation`
- `process`
- `sequential_data`
- `sort`
- `start_1`
- `start_2`
- `stored_data`
- `summing_function`
- `terminator`
- `transfer`

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@@ -1,264 +0,0 @@
# fluidpower
**Type:** mxgraph shapes
**Prefix:** `mxgraph.fluid_power`
## Usage
```xml
<mxCell value="label" style="shape=mxgraph.fluid_power.{shape};fillColor=strokeColor;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="60" as="geometry" />
</mxCell>
```
Shapes are named like x10010, x10020, etc.
## Shapes (247)
- `mxgraph.fluid_power`
- `x10010`
- `x10020`
- `x10030`
- `x10040`
- `x10050`
- `x10060`
- `x10070`
- `x10080`
- `x10090`
- `x10100`
- `x10110`
- `x10120`
- `x10130`
- `x10140`
- `x10150`
- `x10160`
- `x10170`
- `x10180`
- `x10190`
- `x10200`
- `x10210`
- `x10220`
- `x10230`
- `x10240`
- `x10250`
- `x10260`
- `x10270`
- `x10280`
- `x10290`
- `x10300`
- `x10310`
- `x10320`
- `x10330`
- `x10340`
- `x10350`
- `x10360`
- `x10370`
- `x10380`
- `x10390`
- `x10400`
- `x10410`
- `x10420`
- `x10430`
- `x10440`
- `x10441`
- `x10442`
- `x10450`
- `x10460`
- `x10470`
- `x10480`
- `x10490`
- `x10500`
- `x10510`
- `x10520`
- `x10530`
- `x10540`
- `x10550`
- `x10560`
- `x10570`
- `x10580`
- `x10590`
- `x10600`
- `x10610`
- `x10620`
- `x10630`
- `x10640`
- `x10650`
- `x10660`
- `x10670`
- `x10680`
- `x10690`
- `x10700`
- `x10710`
- `x10720`
- `x10730`
- `x10740`
- `x10750`
- `x10760`
- `x10770`
- `x10780`
- `x10790`
- `x10800`
- `x10810`
- `x10820`
- `x10830`
- `x10840`
- `x10850`
- `x10860`
- `x10870`
- `x10880`
- `x10890`
- `x10900`
- `x10910`
- `x10920`
- `x10930`
- `x10940`
- `x10950`
- `x10960`
- `x10970`
- `x10980`
- `x10990`
- `x11000`
- `x11010`
- `x11020`
- `x11030`
- `x11040`
- `x11050`
- `x11060`
- `x11070`
- `x11080`
- `x11090`
- `x11100`
- `x11110`
- `x11120`
- `x11130`
- `x11140`
- `x11150`
- `x11160`
- `x11170`
- `x11180`
- `x11190`
- `x11200`
- `x11210`
- `x11220`
- `x11230`
- `x11240`
- `x11250`
- `x11260`
- `x11270`
- `x11280`
- `x11290`
- `x11300`
- `x11310`
- `x11320`
- `x11330`
- `x11340`
- `x11350`
- `x11360`
- `x11370`
- `x11380`
- `x11390`
- `x11400`
- `x11410`
- `x11420`
- `x11430`
- `x11440`
- `x11450`
- `x11460`
- `x11470`
- `x11480`
- `x11490`
- `x11500`
- `x11510`
- `x11520`
- `x11530`
- `x11540`
- `x11550`
- `x11560`
- `x11570`
- `x11580`
- `x11590`
- `x11600`
- `x11610`
- `x11620`
- `x11630`
- `x11640`
- `x11650`
- `x11660`
- `x11670`
- `x11680`
- `x11690`
- `x11700`
- `x11710`
- `x11720`
- `x11730`
- `x11740`
- `x11750`
- `x11760`
- `x11770`
- `x11780`
- `x11790`
- `x11800`
- `x11810`
- `x11820`
- `x11830`
- `x11840`
- `x11850`
- `x11860`
- `x11870`
- `x11880`
- `x11890`
- `x11900`
- `x11910`
- `x11920`
- `x11930`
- `x11940`
- `x11950`
- `x11960`
- `x11970`
- `x11980`
- `x11990`
- `x12000`
- `x12010`
- `x12020`
- `x12030`
- `x12040`
- `x12050`
- `x12060`
- `x12070`
- `x12080`
- `x12090`
- `x12100`
- `x12110`
- `x12120`
- `x12130`
- `x12140`
- `x12150`
- `x12160_detailed`
- `x12160_simplified`
- `x12170`
- `x12180`
- `x12190`
- `x12200`
- `x12210`
- `x12220`
- `x12230`
- `x12240`
- `x12250`
- `x12260`
- `x12270`
- `x12280`
- `x12290`
- `x12300`
- `x12310`
- `x12320`
- `x12330`
- `x12340`
- `x12350`
- `x12360`
- `x12370`
- `x12380`
- `x12390`
- `x12400`
- `x12410`
- `x12420`
- `x12430`

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# gcp2
**Type:** mxgraph shapes
**Prefix:** `mxgraph.gcp2`
## Usage
```xml
<mxCell value="label" style="shape=mxgraph.gcp2.{shape};fillColor=#4285F4;strokeColor=none;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="60" as="geometry" />
</mxCell>
```
## Shapes (298)
- `a7_power`
- `admin_connected`
- `admob`
- `advanced_solutions_lab`
- `ai_hub`
- `anomaly_detection`
- `api_analytics`
- `api_monetization`
- `apigee_api_platform`
- `apigee_sense`
- `app_engine`
- `app_engine_icon`
- `application`
- `application_system`
- `arrow_cycle`
- `arrows_system`
- `aspect_ratio`
- `automl_natural_language`
- `automl_tables`
- `automl_translation`
- `automl_video_intelligence`
- `automl_vision`
- `avere`
- `beacon`
- `beyondcorp`
- `big_query`
- `bigquery`
- `biomedical_beaker`
- `biomedical_test_tube`
- `biomedical_trio`
- `blank`
- `blue_hexagon`
- `bucket`
- `bucket_scale`
- `calculator`
- `campaign_manager`
- `capabilities`
- `certified_industry_standard`
- `check`
- `check_2`
- `check_available`
- `check_scale`
- `circuit_board`
- `clock`
- `cloud`
- `cloud_apis`
- `cloud_armor`
- `cloud_automl`
- `cloud_bigtable`
- `cloud_cdn`
- `cloud_checkmark`
- `cloud_code`
- `cloud_composer`
- `cloud_computer`
- `cloud_connected_insight`
- `cloud_data_catalog`
- `cloud_data_fusion`
- `cloud_dataflow`
- `cloud_dataflow_icon`
- `cloud_datalab`
- `cloud_dataprep`
- `cloud_dataproc`
- `cloud_dataproc_icon`
- `cloud_datastore`
- `cloud_deployment_manager`
- `cloud_dns`
- `cloud_endpoints`
- `cloud_external_ip_addresses`
- `cloud_filestore`
- `cloud_firestore`
- `cloud_firewall_rules`
- `cloud_functions`
- `cloud_iam`
- `cloud_inference_api`
- `cloud_information`
- `cloud_iot_core`
- `cloud_iot_edge`
- `cloud_jobs_api`
- `cloud_load_balancing`
- `cloud_machine_learning`
- `cloud_memorystore`
- `cloud_messaging`
- `cloud_monitoring`
- `cloud_nat`
- `cloud_natural_language_api`
- `cloud_network`
- `cloud_pubsub`
- `cloud_router`
- `cloud_routes`
- `cloud_run`
- `cloud_scheduler`
- `cloud_security`
- `cloud_security_command_center`
- `cloud_security_scanner`
- `cloud_server`
- `cloud_service_mesh`
- `cloud_spanner`
- `cloud_speech_api`
- `cloud_sql`
- `cloud_storage`
- `cloud_sub_pub`
- `cloud_tasks`
- `cloud_test_lab`
- `cloud_text_to_speech`
- `cloud_tools_for_powershell`
- `cloud_tpu`
- `cloud_translation_api`
- `cloud_video_intelligence_api`
- `cloud_vision_api`
- `cloud_vpn`
- `cluster`
- `compute_engine`
- `compute_engine_2`
- `compute_engine_icon`
- `connected`
- `container_builder`
- `container_engine`
- `container_engine_icon`
- `container_optimized_os`
- `container_registry`
- `cost`
- `cost_arrows`
- `cost_savings`
- `data_access`
- `data_increase`
- `data_loss_prevention_api`
- `data_storage_cost`
- `data_studio`
- `database`
- `database_2`
- `database_3`
- `database_cycle`
- `database_speed`
- `database_uploading`
- `debugger`
- `dedicated_game_server`
- `dedicated_interconnect`
- `desktop`
- `desktop_and_mobile`
- `developer_portal`
- `dialogflow_enterprise_edition`
- `enhance_ui`
- `enhance_ui_2`
- `error_reporting`
- `external_data_center`
- `external_data_resource`
- `external_payment_form`
- `fastly`
- `files`
- `firebase`
- `folders`
- `forseti_lockup`
- `forseti_logo`
- `frontend_platform_services`
- `game`
- `gateway`
- `gateway_icon`
- `gear`
- `gear_arrow`
- `gear_chain`
- `gear_load`
- `genomics`
- `gke_on_prem`
- `globe_world`
- `google_ad_manager`
- `google_ads`
- `google_analytics`
- `google_analytics_360`
- `google_cloud_platform`
- `google_cloud_platform_lockup`
- `google_network`
- `google_network_edge_cache`
- `google_play_game_service`
- `gpu`
- `half_cloud`
- `https_load_balancer`
- `identity_aware_proxy`
- `image_services`
- `increase_cost_arrows`
- `internal_payment_authorization`
- `internet_connection`
- `istio_logo`
- `key`
- `key_management_service`
- `kubernetes_logo`
- `kubernetes_name`
- `laptop`
- `legacy_cloud`
- `legacy_cloud_2`
- `lifecycle`
- `lightbulb`
- `list`
- `live`
- `load_balancing`
- `loading`
- `loading_2`
- `loading_3`
- `lock`
- `logging`
- `logs_api`
- `management_security`
- `maps_api`
- `mem_instances`
- `memcache`
- `memory_card`
- `mobile_devices`
- `modifiers_autoscaling`
- `modifiers_custom_virtual_machine`
- `modifiers_high_cpu_machine`
- `modifiers_high_memory_machine`
- `modifiers_preemptable_vm`
- `modifiers_shared_core_machine_f1`
- `modifiers_shared_core_machine_g1`
- `modifiers_standard_machine`
- `modifiers_storage`
- `monitor`
- `monitor_2`
- `mxgraph.gcp2`
- `nat`
- `network`
- `network_load_balancer`
- `node`
- `outline_blank_1`
- `outline_blank_2`
- `outline_blank_3`
- `outline_highcomp`
- `outline_highmem`
- `partner_interconnect`
- `payment`
- `people_security_management`
- `persistent_disk`
- `persistent_disk_snapshot`
- `phone`
- `phone_android`
- `placeholder`
- `play_gear`
- `play_start`
- `prediction_api`
- `premium_network_tier`
- `primary`
- `process`
- `profiler`
- `push_notification_service`
- `recommendations_ai`
- `record`
- `replication_controller`
- `replication_controller_2`
- `replication_controller_3`
- `report`
- `repository`
- `repository_2`
- `repository_3`
- `repository_primary`
- `retail`
- `safety`
- `save`
- `scale`
- `scheduled_tasks`
- `search`
- `search_api`
- `security_key_enforcement`
- `segments`
- `segments_2`
- `segments_overlap`
- `servers_stacked`
- `service`
- `service_discovery`
- `social_media_time`
- `solution`
- `speaker`
- `speed`
- `squid_proxy`
- `stackdriver`
- `stacked_ownership`
- `standard_network_tier`
- `storage`
- `stream`
- `swap`
- `systems_check`
- `tape_record`
- `task_queues`
- `task_queues_2`
- `tensorflow_lockup`
- `tensorflow_logo`
- `thumbs_up`
- `time_clock`
- `trace`
- `traffic_director`
- `transfer_appliance`
- `users`
- `view_list`
- `virtual_file_system`
- `virtual_private_cloud`
- `visibility`
- `vpn`
- `vpn_gateway`
- `webcam`
- `website`

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@@ -1,24 +0,0 @@
# infographic
**Type:** mxgraph shapes
**Prefix:** `mxgraph.infographic`
## Usage
```xml
<mxCell value="label" style="html=1;shape=mxgraph.infographic.shadedCube;isoAngle=15;fillColor=#10739E;strokeColor=none;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="60" as="geometry" />
</mxCell>
```
## Shapes
- `shadedCube` (needs `isoAngle=15;`)
- `ribbonSimple` (needs `notch1=20;notch2=20;`)
- `ribbonRolled`
- `ribbonDoubleFolded`
- `shadedTriangle`
- `shadedPyramid`
- `cylinder`
- `banner`
- `flag`

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@@ -1,58 +0,0 @@
# kubernetes
**Type:** mxgraph shapes
**Prefix:** `mxgraph.kubernetes`
## Usage
```xml
<mxCell value="label" style="shape=mxgraph.kubernetes.icon;prIcon={shape};fillColor=#326CE5;strokeColor=none;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="60" as="geometry" />
</mxCell>
```
## Shapes (41)
- `api`
- `c_c_m`
- `c_m`
- `c_role`
- `cm`
- `crb`
- `crd`
- `cronjob`
- `deploy`
- `ds`
- `ep`
- `etcd`
- `frame`
- `group`
- `hpa`
- `ing`
- `job`
- `k_proxy`
- `kubelet`
- `limits`
- `master`
- `mxgraph.kubernetes`
- `netpol`
- `node`
- `ns`
- `pod`
- `psp`
- `pv`
- `pvc`
- `quota`
- `rb`
- `role`
- `rs`
- `sa`
- `sc`
- `sched`
- `secret`
- `sts`
- `svc`
- `user`
- `vol`

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@@ -1,31 +0,0 @@
# lean_mapping
**Type:** mxgraph shapes
**Prefix:** `mxgraph.lean_mapping`
## Usage
```xml
<mxCell value="label" style="shape=mxgraph.lean_mapping.{shape};strokeWidth=2;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="60" as="geometry" />
</mxCell>
```
## Shapes (14)
- `airplane_7`
- `electronic_info_flow`
- `finished_goods_to_customer`
- `go_see_production_scheduling`
- `kaizen_lightening_burst`
- `kanban_post`
- `load_leveling`
- `manual_info_flow`
- `move_by_forklift`
- `mrp_erp`
- `mxgraph.lean_mapping`
- `operator`
- `quality_problem`
- `verbal`

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@@ -1,22 +0,0 @@
# mscae
**Type:** mxgraph shapes
**Prefix:** `mxgraph.mscae`
## Usage
```xml
<mxCell value="label" style="shape=mxgraph.mscae.cloud.azure;fillColor=#0078D4;strokeColor=none;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="60" as="geometry" />
</mxCell>
```
## Categories
Shapes are organized by category: `mscae.cloud`, `mscae.intune`, `mscae.oms`, `mscae.system_center`
- `conditional_access_exchange`
- `conditional_access_sharepoint`
- `primary_site`
(See draw.io for complete shape list within each category)

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@@ -1,72 +0,0 @@
# network
**Type:** mxgraph shapes
**Prefix:** `mxgraph.networks`
## Usage
```xml
<mxCell value="label" style="shape=mxgraph.networks.server;fillColor=#29AAE1;strokeColor=none;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="60" as="geometry" />
</mxCell>
```
## Shapes (57)
- `biometric_reader`
- `bus`
- `business_center`
- `cloud`
- `comm_link`
- `comm_link_edge`
- `community`
- `copier`
- `desktop_pc`
- `external_storage`
- `firewall`
- `gamepad`
- `hub`
- `laptop`
- `load_balancer`
- `mail_server`
- `mainframe`
- `mobile`
- `modem`
- `monitor`
- `nas_filer`
- `patch_panel`
- `phone_1`
- `phone_2`
- `printer`
- `proxy_server`
- `rack`
- `radio_tower`
- `router`
- `satellite`
- `satellite_dish`
- `scanner`
- `secured`
- `security_camera`
- `server`
- `server_storage`
- `storage`
- `supercomputer`
- `switch`
- `tablet`
- `tape_storage`
- `terminal`
- `unsecure`
- `ups_enterprise`
- `ups_small`
- `usb_stick`
- `user_female`
- `user_male`
- `users`
- `video_projector`
- `video_projector_screen`
- `virtual_pc`
- `virtual_server`
- `virus`
- `web_server`
- `wireless_hub`
- `wireless_modem`

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@@ -1,36 +0,0 @@
# openstack
**Type:** mxgraph shapes
**Prefix:** `mxgraph.openstack`
## Usage
```xml
<mxCell value="label" style="shape=mxgraph.openstack.{shape};fillColor=#3F51B5;strokeColor=none;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="60" as="geometry" />
</mxCell>
```
## Shapes (19)
- `cinder_volume`
- `cinder_volumeattachment`
- `designate_recordset`
- `designate_zone`
- `heat_autoscalinggroup`
- `heat_resourcegroup`
- `heat_scalingpolicy`
- `mxgraph.openstack`
- `neutron_floatingip`
- `neutron_floatingipassociation`
- `neutron_net`
- `neutron_port`
- `neutron_router`
- `neutron_routerinterface`
- `neutron_securitygroup`
- `neutron_subnet`
- `nova_keypair`
- `nova_server`
- `swift_container`

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@@ -1,22 +0,0 @@
# pid
**Type:** mxgraph shapes
**Prefix:** `mxgraph.pid2valves`, `mxgraph.pid2inst`, `mxgraph.pid2misc`
## Usage
```xml
<mxCell value="label" style="shape=mxgraph.pid2valves.valve;valveType=gate;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="60" as="geometry" />
</mxCell>
```
## Valve Types
For `mxgraph.pid2valves.valve`, use `valveType=` with:
- `gate`, `globe`, `needle`, `ball`, `butterfly`, `diaphragm`, `plug`, `check`
## Other Prefixes
- `mxgraph.pid2inst` - Instruments (discInst, sharedCont, compFunc)
- `mxgraph.pid2misc` - Miscellaneous

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@@ -1,57 +0,0 @@
# rack
**Type:** mxgraph shapes
**Prefix:** `mxgraph.rack`
## Usage
```xml
<mxCell value="label" style="shape=mxgraph.rack.f5.arx_500;strokeColor=#666666;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="200" height="30" as="geometry" />
</mxCell>
```
Shapes are organized by vendor: `mxgraph.rack.{vendor}.{model}`
## Vendors
### F5
- `arx_500`
- `big_ip_1600`
- `big_ip_2000`
- `big_ip_4000`
### Dell
- `dell_poweredge_1u`
- `poweredge_630`
- `poweredge_730`
### HPE Aruba
HPE Aruba shapes have subcategories: `mxgraph.rack.hpe_aruba.{category}.{model}`
**gateways_controllers:**
- `aruba_7010_mobility_controller_front`
- `aruba_7010_mobility_controller_rear`
- `aruba_7024_mobility_controller_front`
- `aruba_7205_mobility_controller_front`
**security:**
- `aruba_clearpass_c1000_front`
- `aruba_clearpass_c2000_front`
- `aruba_clearpass_c3000_front`
**switches:**
- `j9772a_2530_48g_poeplus_switch`
- `j9773a_2530_24g_poeplus_switch`
- `jl253a_aruba_2930f_24g_4sfpplus_switch`
### General (rackGeneral)
Use `mxgraph.rackGeneral.{shape}` for generic rack items:
- `rackCabinet3`
- `plate`
(See draw.io Rack shape library for complete list)

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@@ -1,116 +0,0 @@
# salesforce
**Type:** mxgraph shapes
**Prefix:** `mxgraph.salesforce`
## Usage
```xml
<mxCell value="label" style="shape=mxgraph.salesforce.analytics;fillColor=#7f8de1;strokeColor=none;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="60" as="geometry" />
</mxCell>
```
Replace `analytics` with any shape from the list below.
## Shapes (97)
- `analytics`
- `analytics2`
- `apps`
- `apps2`
- `automation`
- `automation2`
- `automotive`
- `automotive2`
- `bots`
- `bots2`
- `builders`
- `builders2`
- `channels`
- `channels2`
- `commerce`
- `commerce2`
- `communications`
- `communications2`
- `consumer_goods`
- `consumer_goods2`
- `customer_360`
- `customer_3602`
- `data`
- `data2`
- `education`
- `education2`
- `employees`
- `employees2`
- `energy`
- `energy2`
- `field_service`
- `field_service2`
- `financial_services`
- `financial_services2`
- `government`
- `government2`
- `health`
- `health2`
- `heroku`
- `heroku2`
- `inbox`
- `inbox2`
- `industries`
- `industries2`
- `integration`
- `integration2`
- `iot`
- `iot2`
- `learning`
- `learning2`
- `loyalty`
- `loyalty2`
- `manufacturing`
- `manufacturing2`
- `marketing`
- `marketing2`
- `media`
- `media2`
- `mxgraph.salesforce`
- `non_profit`
- `non_profit2`
- `partners`
- `partners2`
- `personalization`
- `personalization2`
- `philantrophy`
- `philantrophy2`
- `platform`
- `platform2`
- `privacy`
- `privacy2`
- `retail`
- `retail2`
- `sales`
- `sales2`
- `segments`
- `segments2`
- `service`
- `service2`
- `smb`
- `smb2`
- `social_studio`
- `social_studio2`
- `stream`
- `stream2`
- `success`
- `success2`
- `sustainability`
- `sustainability2`
- `transportation_and_technology`
- `transportation_and_technology2`
- `web`
- `web2`
- `work_com`
- `work_com2`
- `workflow`
- `workflow2`

View File

@@ -1,179 +0,0 @@
# sap
**Type:** SVG images
**Path:** `img/lib/sap/`
## Usage
```xml
<mxCell value="label" style="image;aspect=fixed;image=img/lib/sap/SAP_Logo.svg;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="60" as="geometry" />
</mxCell>
```
## Shapes (164)
- `1`
- `2`
- `3`
- `4`
- `5`
- `6`
- `7`
- `8`
- `9`
- `10`
- `11`
- `12`
- `13`
- `Adapter`
- `Admin`
- `Alert`
- `API`
- `API_Business_Hub_Enterprise`
- `App`
- `Application_Autoscaler`
- `Application_Frontend_Service`
- `Application_Vulnerability_Report`
- `Building`
- `Business_Application_Studio`
- `Business_Entity_Recognition`
- `Business_Process_Model_Connector_for_SAP_Signavio_Solutions`
- `Cloud`
- `Cloud_Connector`
- `Cloud_Connector2`
- `Cloud_Integration_Automation`
- `Cloud_Integration_Automation2`
- `Cloud_Transport_Management`
- `Data_Attribute_Recommendation`
- `Deploy`
- `Desktop`
- `Devices`
- `Document`
- `Document_Information_Extraction`
- `Documents`
- `Edge_Integration_Cell`
- `Event`
- `Extensibility_Service`
- `Factory`
- `Feature`
- `HTML5_App_Repository`
- `Identity_Authentication`
- `Identity_Authentication2`
- `Identity_Directory`
- `Identity_Directory2`
- `Identity_Provisioning`
- `Identity_Provisioning2`
- `Info`
- `Intelligent_Situation_Automation`
- `Invoice_Object_Recommendation`
- `Invoice_Object_Recommendation2`
- `Key`
- `Landscape_Portal_for_SAP_S4HANA_Cloud_ABAP_Environment`
- `Link`
- `Locked`
- `Machine`
- `Message`
- `Mobile`
- `OAuth_20`
- `Object_Store_on_SAP_BTP`
- `On-Premise`
- `Personalized_Recommendation`
- `SAP_AI_Core`
- `SAP_AI_Launchpad`
- `SAP_Alert_Notification_service_for_SAP_BTP`
- `SAP_Analytics_Cloud`
- `SAP_Analytics_Cloud_Embedded_Edition`
- `SAP_Application_Logging_service_for_SAP_BTP`
- `SAP_Asset_Performance_Management`
- `SAP_Audit_Log_Service`
- `SAP_Authorization_Management_Service`
- `SAP_Authorization_and_Trust_Management_service`
- `SAP_Automation_Pilot`
- `SAP_BTP,_ABAP_environment`
- `SAP_BTP,_Cloud_Foundry_runtime`
- `SAP_BTP,_Kyma_runtime`
- `SAP_Build`
- `SAP_Build_Apps`
- `SAP_Build_Apps_-_Copy`
- `SAP_Build_Code`
- `SAP_Build_Process_Automation`
- `SAP_Build_Process_Automation_-_Copy`
- `SAP_Build_Work_Zone_-_Advanced_Edition`
- `SAP_Build_Work_Zone_-_Standard_Edition`
- `SAP_Business_Accelerator_Hub`
- `SAP_Business_Data_Cloud`
- `SAP_Cloud_ALM`
- `SAP_Cloud_Application_Programming_Model`
- `SAP_Cloud_Identity,_SAP_Malware_Scanning_Service`
- `SAP_Cloud_Identity_Service`
- `SAP_Cloud_Logging`
- `SAP_Cloud_Management_Service`
- `SAP_Cloud_Transport_Management`
- `SAP_Collaborative_Demand_and_Capacity_Management`
- `SAP_Connectivity_Service`
- `SAP_Content_Agent_Service`
- `SAP_Continuous_Integration_and_Delivery`
- `SAP_Credential_Store`
- `SAP_Custom_Domain_service`
- `SAP_Data_Privacy_Integration`
- `SAP_Data_Retention_Manager`
- `SAP_Datasphere`
- `SAP_Destination_service`
- `SAP_Digital_Assistant`
- `SAP_Digital_Assistant_Service`
- `SAP_Digital_Manufacturing`
- `SAP_Document_Grounding`
- `SAP_Document_Management_Service`
- `SAP_Event_Broker_for_SAP_Cloud_Applications`
- `SAP_Green_Token`
- `SAP_HANA_Cloud`
- `SAP_HANA_Spatial_Services`
- `SAP_Health_Data_Services_for_FHIR`
- `SAP_Integration_Suite`
- `SAP_Integration_Suite_-_API_Managment`
- `SAP_Integration_Suite_-_Advanced_Event_Mesh`
- `SAP_Integration_Suite_-_Cloud_Integration`
- `SAP_Integration_Suite_-_Data_Space_Integration`
- `SAP_Integration_Suite_-_Event_Mesh`
- `SAP_Integration_Suite_-_Integration_Advisor`
- `SAP_Integration_Suite_-_Integration_Assessment`
- `SAP_Integration_Suite_-_Migration_Assessment`
- `SAP_Integration_Suite_-_Open_Connectors`
- `SAP_Integration_Suite_-_SAP_Graph`
- `SAP_Integration_Suite_-_Trading_Partner_Management`
- `SAP_Job_Scheduling_service`
- `SAP_Keystore_Service`
- `SAP_Landscape_Management_Cloud`
- `SAP_Logo`
- `SAP_Master_Data_Governance`
- `SAP_Master_Data_Integration`
- `SAP_Mobile_Services`
- `SAP_Monitoring_service_for_SAP_BTP`
- `SAP_Omnichannel_Promotion_Pricing`
- `SAP_PKI_Certificate_Service`
- `SAP_Persistence_Service_ASE`
- `SAP_Personal_Data_Manager`
- `SAP_Private_Link_service`
- `SAP_Project_and_Resource_Management`
- `SAP_Responsibility_Management_Service`
- `SAP_S4HANA_Cloud_for_Intelligent_Intercompany_Reconciliation`
- `SAP_S4HANA_for_MS_Teams`
- `SAP_Secure_Login_Service_for_SAP_GUI`
- `SAP_Service_Manager`
- `SAP_Software_as_a_Service_Provisioning_Service`
- `SAP_Solution_Lifecycle_Management_Service`
- `SAP_Sustainability_Data_Exchange`
- `SAP_Task_Center`
- `SAP_Translation_Hub`
- `SAP_Variant_Configuration_and_Pricing`
- `SAP_Watch_List_Screening`
- `Service_Ticket_Intelligence`
- `Service_Ticket_Intelligence2`
- `Settings`
- `Success`
- `Third_Party`
- `UI5_flexibility_for_key_users`
- `UI_Theme_Designer`
- `User`
- `Web`

View File

@@ -1,68 +0,0 @@
# sitemap
**Type:** mxgraph shapes
**Prefix:** `mxgraph.sitemap`
## Usage
```xml
<mxCell value="label" style="shape=mxgraph.sitemap.{shape};fillColor=#7ea6e0;strokeColor=#6c8ebf;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="60" as="geometry" />
</mxCell>
```
## Shapes (51)
- `about_us`
- `audio`
- `biography`
- `blog`
- `calendar`
- `chart`
- `chat`
- `cloud`
- `contact`
- `contact_us`
- `document`
- `download`
- `error`
- `faq`
- `form`
- `gallery`
- `game`
- `home`
- `info`
- `jobs`
- `log`
- `login`
- `mail`
- `map`
- `mxgraph.sitemap`
- `news`
- `page`
- `payment`
- `photo`
- `portfolio`
- `post`
- `pricing`
- `print`
- `products`
- `profile`
- `references`
- `script`
- `search`
- `security`
- `services`
- `settings`
- `shopping`
- `sitemap`
- `slideshow`
- `sports`
- `success`
- `text`
- `upload`
- `user`
- `video`
- `warning`

View File

@@ -1,112 +0,0 @@
# vvd
**Type:** mxgraph shapes
**Prefix:** `mxgraph.vvd`
## Usage
```xml
<mxCell value="label" style="shape=mxgraph.vvd.{shape};fillColor=#00AEEF;strokeColor=none;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="60" as="geometry" />
</mxCell>
```
## Shapes (95)
- `administrator`
- `app`
- `app_volumes_manager`
- `appstack_volume`
- `array_manager`
- `blueprint`
- `business_continuity_data_protection`
- `cd`
- `cloud_computing`
- `collective_nsx_esg`
- `consumption_plane`
- `cpu`
- `datacenter`
- `datastore`
- `disk`
- `document`
- `edge_gateway`
- `endpoint`
- `ethernet_port`
- `external_networks`
- `flash_drive`
- `folder`
- `guest_agent_customization`
- `horizon`
- `infrastructure`
- `key`
- `keyboard`
- `laptop`
- `log_files`
- `logical_distribution`
- `logical_firewall`
- `machine`
- `memory`
- `monitor`
- `mouse`
- `mxgraph.vvd`
- `networking`
- `networks`
- `nfvo`
- `nsx`
- `nsx_controller`
- `nsx_dashboard`
- `nsx_edge_and_load_balancer`
- `nsx_esg`
- `nsx_manager`
- `nsx_public_cloud_gateway`
- `on_demand_self_service`
- `ovdc_networks`
- `pair_sites`
- `phone`
- `physical_network_adapter`
- `physical_storage`
- `physical_upstream_router`
- `platform_services_controller`
- `protection_group`
- `protection_group_config`
- `recovery_plan`
- `resource_pool`
- `scsi_controller`
- `security`
- `server`
- `service_provider_cloud_environment`
- `site`
- `site_container`
- `site_recovery`
- `site_recovery_functional_icon`
- `ssd`
- `storage`
- `switch`
- `telco_network`
- `template`
- `tenant_key`
- `user_group`
- `vapp_network`
- `vcenter_server`
- `vcloud_director`
- `virtual_appliance`
- `virtual_machine`
- `virtual_switch`
- `vm_group`
- `vnf_m`
- `volumes_agent`
- `vpn`
- `vrealize_automation`
- `vrealize_log_insight`
- `vrealize_operations`
- `vrealize_orchestrator`
- `vrops`
- `vsan`
- `vshield`
- `vxlan`
- `wavefront`
- `web_browser`
- `wi_fi`
- `writable_volume`

View File

@@ -1,194 +0,0 @@
# webicons
**Type:** mxgraph shapes
**Prefix:** `mxgraph.webicons`
## Usage
```xml
<mxCell value="label" style="shape=mxgraph.webicons.{shape};fillColor=#3b5998;strokeColor=none;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="60" as="geometry" />
</mxCell>
```
## Shapes (177)
- `adfty`
- `adobe_pdf`
- `aim`
- `allvoices`
- `amazon`
- `amazon_2`
- `android`
- `apache`
- `apple`
- `apple_classic`
- `arduino`
- `ask`
- `atlassian`
- `audioboo`
- `aws`
- `aws_s3`
- `baidu`
- `bebo`
- `behance`
- `bing`
- `bitbucket`
- `blinklist`
- `blogger`
- `blogmarks`
- `bookmarks.fr`
- `box`
- `buddymarks`
- `buffer`
- `buzzfeed`
- `chrome`
- `citeulike`
- `confluence`
- `connotea`
- `dealsplus`
- `delicious`
- `designfloat`
- `deviantart`
- `digg`
- `diigo`
- `dopplr`
- `drawio1`
- `drawio2`
- `dribbble`
- `dropbox`
- `dropbox2`
- `drupal`
- `dzone`
- `ebay`
- `edmodo`
- `evernote`
- `facebook`
- `fancy`
- `fark`
- `fashiolista`
- `feed`
- `feedburner`
- `flickr`
- `folkd`
- `forrst`
- `fotolog`
- `freshbump`
- `fresqui`
- `friendfeed`
- `funp`
- `fwisp`
- `gabbr`
- `gamespot`
- `github`
- `gmail`
- `google`
- `google_drive`
- `google_hangout`
- `google_photos`
- `google_play`
- `google_play_light`
- `google_plus`
- `grooveshark`
- `hatena`
- `html5`
- `identi.ca`
- `instagram`
- `instapaper`
- `ios`
- `jamespot`
- `java`
- `joomla`
- `jquery`
- `json`
- `json_2`
- `last.fm`
- `linkagogo`
- `linkedin`
- `livejournal`
- `mail.ru`
- `meetup`
- `meneame`
- `messenger`
- `messenger_2`
- `messenger_3`
- `mind_body_green`
- `mongodb`
- `mxgraph.webicons`
- `myspace`
- `n4g`
- `netlog`
- `netvibes`
- `netvouz`
- `networkedblogs`
- `newsvine`
- `odnoklassniki`
- `oknotizie`
- `onedrive`
- `oracle`
- `paypal`
- `phone`
- `phonefavs`
- `pinterest`
- `plaxo`
- `playfire`
- `plurk`
- `pocket`
- `protopage`
- `readernaut`
- `reddit`
- `rss`
- `scoopit`
- `scribd`
- `segnalo`
- `sina`
- `sitejot`
- `skype`
- `skyrock`
- `slashdot`
- `sms`
- `socialvibe`
- `society6`
- `sonico`
- `soundcloud`
- `sourceforge`
- `sourceforge_2`
- `spring.me`
- `stackexchange`
- `stackoverflow`
- `startaid`
- `startlap`
- `steam`
- `stumbleupon`
- `stumpedia`
- `technorati`
- `translate`
- `tumblr`
- `tunein`
- `twitter`
- `two`
- `typepad`
- `viadeo`
- `viber`
- `viddler`
- `vimeo`
- `virb`
- `vkontakte`
- `wakoopa`
- `weheartit`
- `whatsapp`
- `wix`
- `wordpress`
- `wordpress_2`
- `xanga`
- `xerpi`
- `xing`
- `yahoo`
- `yahoo_2`
- `yammer`
- `yandex`
- `yelp`
- `yoolink`
- `youmob`

View File

@@ -1,96 +0,0 @@
appId: com.nextaidrawio.app
productName: Next AI Draw.io
copyright: Copyright © 2024 Next AI Draw.io
electronVersion: 39.2.7
directories:
output: release
buildResources: resources
afterPack: ./scripts/afterPack.cjs
files:
- dist-electron/**/*
- "!node_modules"
asarUnpack:
- "**/*.node"
extraResources:
# Copy prepared standalone directory (includes node_modules)
- from: electron-standalone/
to: standalone/
# Copy icon for runtime use (Windows/Linux)
- from: resources/icon.png
to: icon.png
# macOS configuration
mac:
category: public.app-category.productivity
icon: resources/icon.png
target:
- target: dmg
arch:
- x64
- arm64
- target: zip
arch:
- x64
- arm64
hardenedRuntime: true
gatekeeperAssess: false
entitlements: resources/entitlements.mac.plist
entitlementsInherit: resources/entitlements.mac.plist
dmg:
contents:
- x: 130
y: 220
- x: 410
y: 220
type: link
path: /Applications
window:
width: 540
height: 380
# Windows configuration
win:
icon: resources/icon.png
target:
- target: nsis
arch:
- x64
- arm64
- target: portable
arch:
- x64
- arm64
nsis:
oneClick: false
perMachine: false
allowToChangeInstallationDirectory: true
deleteAppDataOnUninstall: false
createDesktopShortcut: true
createStartMenuShortcut: true
# Linux configuration
linux:
icon: resources/icon.png
category: Office
maintainer: Next AI Draw.io <nextaidrawio@users.noreply.github.com>
target:
- target: AppImage
arch:
- x64
- arm64
- target: deb
arch:
- x64
- arm64
# Publish configuration (optional)
publish:
provider: github
releaseType: release

74
electron.d.ts vendored
View File

@@ -1,74 +0,0 @@
/**
* Type declarations for Electron API exposed via preload script
*/
/** Configuration preset interface */
interface ConfigPreset {
id: string
name: string
createdAt: number
updatedAt: number
config: {
AI_PROVIDER?: string
AI_MODEL?: string
AI_API_KEY?: string
AI_BASE_URL?: string
TEMPERATURE?: string
[key: string]: string | undefined
}
}
/** Result of applying a preset */
interface ApplyPresetResult {
success: boolean
error?: string
env?: Record<string, string>
}
declare global {
interface Window {
/** Main window Electron API */
electronAPI?: {
/** Current platform (darwin, win32, linux) */
platform: NodeJS.Platform
/** Whether running in Electron environment */
isElectron: boolean
/** Get application version */
getVersion: () => Promise<string>
/** Minimize the window */
minimize: () => void
/** Maximize/restore the window */
maximize: () => void
/** Close the window */
close: () => void
/** Open file dialog and return file path */
openFile: () => Promise<string | null>
/** Save data to file via save dialog */
saveFile: (data: string) => Promise<boolean>
}
/** Settings window Electron API */
settingsAPI?: {
/** Get all configuration presets */
getPresets: () => Promise<ConfigPreset[]>
/** Get current preset ID */
getCurrentPresetId: () => Promise<string | null>
/** Get current preset */
getCurrentPreset: () => Promise<ConfigPreset | null>
/** Save (create or update) a preset */
savePreset: (preset: {
id?: string
name: string
config: Record<string, string | undefined>
}) => Promise<ConfigPreset>
/** Delete a preset */
deletePreset: (id: string) => Promise<boolean>
/** Apply a preset (sets environment variables and restarts server) */
applyPreset: (id: string) => Promise<ApplyPresetResult>
/** Close settings window */
close: () => void
}
}
}
export { ConfigPreset, ApplyPresetResult }

View File

@@ -1,241 +0,0 @@
import {
app,
BrowserWindow,
dialog,
Menu,
type MenuItemConstructorOptions,
shell,
} from "electron"
import {
applyPresetToEnv,
getAllPresets,
getCurrentPresetId,
setCurrentPreset,
} from "./config-manager"
import { restartNextServer } from "./next-server"
import { showSettingsWindow } from "./settings-window"
/**
* Build and set the application menu
*/
export function buildAppMenu(): void {
const template = getMenuTemplate()
const menu = Menu.buildFromTemplate(template)
Menu.setApplicationMenu(menu)
}
/**
* Rebuild the menu (call this when presets change)
*/
export function rebuildAppMenu(): void {
buildAppMenu()
}
/**
* Get the menu template
*/
function getMenuTemplate(): MenuItemConstructorOptions[] {
const isMac = process.platform === "darwin"
const template: MenuItemConstructorOptions[] = []
// macOS app menu
if (isMac) {
template.push({
label: app.name,
submenu: [
{ role: "about" },
{ type: "separator" },
{
label: "Settings...",
accelerator: "CmdOrCtrl+,",
click: () => {
const win = BrowserWindow.getFocusedWindow()
showSettingsWindow(win || undefined)
},
},
{ type: "separator" },
{ role: "services" },
{ type: "separator" },
{ role: "hide" },
{ role: "hideOthers" },
{ role: "unhide" },
{ type: "separator" },
{ role: "quit" },
],
})
}
// File menu
template.push({
label: "File",
submenu: [
...(isMac
? []
: [
{
label: "Settings",
accelerator: "CmdOrCtrl+,",
click: () => {
const win = BrowserWindow.getFocusedWindow()
showSettingsWindow(win || undefined)
},
},
{ type: "separator" } as MenuItemConstructorOptions,
]),
isMac ? { role: "close" } : { role: "quit" },
],
})
// Edit menu
template.push({
label: "Edit",
submenu: [
{ role: "undo" },
{ role: "redo" },
{ type: "separator" },
{ role: "cut" },
{ role: "copy" },
{ role: "paste" },
...(isMac
? [
{
role: "pasteAndMatchStyle",
} as MenuItemConstructorOptions,
{ role: "delete" } as MenuItemConstructorOptions,
{ role: "selectAll" } as MenuItemConstructorOptions,
]
: [
{ role: "delete" } as MenuItemConstructorOptions,
{ type: "separator" } as MenuItemConstructorOptions,
{ role: "selectAll" } as MenuItemConstructorOptions,
]),
],
})
// View menu
template.push({
label: "View",
submenu: [
{ role: "reload" },
{ role: "forceReload" },
{ role: "toggleDevTools" },
{ type: "separator" },
{ role: "resetZoom" },
{ role: "zoomIn" },
{ role: "zoomOut" },
{ type: "separator" },
{ role: "togglefullscreen" },
],
})
// Configuration menu with presets
template.push(buildConfigMenu())
// Window menu
template.push({
label: "Window",
submenu: [
{ role: "minimize" },
{ role: "zoom" },
...(isMac
? [
{ type: "separator" } as MenuItemConstructorOptions,
{ role: "front" } as MenuItemConstructorOptions,
]
: [{ role: "close" } as MenuItemConstructorOptions]),
],
})
// Help menu
template.push({
label: "Help",
submenu: [
{
label: "Documentation",
click: async () => {
await shell.openExternal(
"https://github.com/dayuanjiang/next-ai-draw-io",
)
},
},
{
label: "Report Issue",
click: async () => {
await shell.openExternal(
"https://github.com/dayuanjiang/next-ai-draw-io/issues",
)
},
},
],
})
return template
}
/**
* Build the Configuration menu with presets
*/
function buildConfigMenu(): MenuItemConstructorOptions {
const presets = getAllPresets()
const currentPresetId = getCurrentPresetId()
const presetItems: MenuItemConstructorOptions[] = presets.map((preset) => ({
label: preset.name,
type: "radio",
checked: preset.id === currentPresetId,
click: async () => {
const previousPresetId = getCurrentPresetId()
const env = applyPresetToEnv(preset.id)
if (env) {
try {
await restartNextServer()
rebuildAppMenu() // Rebuild menu to update checkmarks
} catch (error) {
console.error("Failed to restart server:", error)
// Revert to previous preset on failure
if (previousPresetId) {
applyPresetToEnv(previousPresetId)
} else {
setCurrentPreset(null)
}
// Rebuild menu to restore previous checkmark state
rebuildAppMenu()
// Show error dialog to notify user
dialog.showErrorBox(
"Configuration Error",
`Failed to apply preset "${preset.name}". The server could not be restarted.\n\nThe previous configuration has been restored.\n\nError: ${error instanceof Error ? error.message : String(error)}`,
)
}
}
},
}))
return {
label: "Configuration",
submenu: [
...(presetItems.length > 0
? [
{ label: "Switch Preset", enabled: false },
{ type: "separator" } as MenuItemConstructorOptions,
...presetItems,
{ type: "separator" } as MenuItemConstructorOptions,
]
: []),
{
label:
presetItems.length > 0
? "Manage Presets..."
: "Add Configuration Preset...",
click: () => {
const win = BrowserWindow.getFocusedWindow()
showSettingsWindow(win || undefined)
},
},
],
}
}

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