Compare commits

..

1 Commits

Author SHA1 Message Date
dayuan.jiang
d6931077f4 fix: handle edge cases in chat panel and message display
- Handle undefined edit.search/edit.replace in EditDiffDisplay
- Handle empty chartXML when displaying diagrams
- Add missing access code header to regenerate and edit message handlers
2025-12-07 01:27:57 +09:00
178 changed files with 5665 additions and 40426 deletions

View File

@@ -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.

View File

@@ -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

View File

@@ -1,24 +0,0 @@
---
name: Enhancement
about: Suggest an improvement to existing functionality
title: '[Enhancement] '
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.
## Current Behavior
Describe how the feature currently works.
## Proposed Enhancement
How you'd like this to be improved.
## Motivation
Why this enhancement would be beneficial.
## Screenshots / Mockups
If applicable, add screenshots or mockups to illustrate the proposed changes.
## Additional Context
Any other information about the enhancement request.

View File

@@ -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.

40
.github/renovate.json vendored
View File

@@ -1,40 +0,0 @@
{
"$schema": "https://docs.renovatebot.com/renovate-schema.json",
"extends": ["config:recommended"],
"schedule": ["after 10am on saturday"],
"timezone": "Asia/Tokyo",
"packageRules": [
{
"matchUpdateTypes": ["minor", "patch"],
"matchPackagePatterns": ["*"],
"groupName": "minor and patch dependencies",
"automerge": true
},
{
"matchUpdateTypes": ["major"],
"matchPackagePatterns": ["*"],
"automerge": false
},
{
"matchPackagePatterns": ["@ai-sdk/*"],
"groupName": "AI SDK packages"
},
{
"matchPackagePatterns": ["@radix-ui/*"],
"groupName": "Radix UI packages"
},
{
"matchPackagePatterns": ["electron", "electron-builder"],
"groupName": "Electron packages",
"automerge": false
},
{
"matchPackagePatterns": ["@ai-sdk/*", "ai", "next"],
"groupName": "Core framework packages",
"automerge": false
}
],
"vulnerabilityAlerts": {
"enabled": true
}
}

View File

@@ -1,54 +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@v6
with:
ref: ${{ github.event.pull_request.head.sha }}
token: ${{ secrets.GITHUB_TOKEN }}
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: '24'
- name: Run Biome format
run: npx @biomejs/biome@latest 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" >> $GITHUB_OUTPUT
fi
# For fork PRs, just fail if formatting is needed (can't push to forks)
- name: Fail if fork PR needs formatting
if: steps.changes.outputs.has_changes == 'true' && github.event.pull_request.head.repo.full_name != github.repository
run: |
echo "::error::This PR has formatting issues. Please run 'npx @biomejs/biome check --write .' locally and push the changes."
git diff --stat
exit 1
# For same-repo PRs, commit and push the changes
- name: Commit changes
if: steps.changes.outputs.has_changes == 'true' && github.event.pull_request.head.repo.full_name == github.repository
run: |
git config --global user.name "github-actions[bot]"
git config --global user.email "github-actions[bot]@users.noreply.github.com"
git remote set-url origin https://x-access-token:${{ secrets.GITHUB_TOKEN }}@github.com/${{ github.repository }}
git add .
git commit -m "style: auto-format with Biome"
git push origin HEAD:${{ github.head_ref }}

View File

@@ -1,44 +0,0 @@
name: CI
on:
push:
branches:
- main
pull_request:
branches:
- main
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
permissions:
contents: read
jobs:
ci:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v6
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: '24'
cache: 'npm'
- name: Install dependencies
run: npm install
- name: Type check
run: npx tsc --noEmit
- name: Lint check
run: npm run check
- name: Build
run: npm run build
- name: Security audit
run: npm audit --audit-level=high --omit=dev

View File

@@ -26,7 +26,7 @@ jobs:
steps: steps:
- name: Checkout repository - name: Checkout repository
uses: actions/checkout@v6 uses: actions/checkout@v4
- name: Set up Docker Buildx - name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3 uses: docker/setup-buildx-action@v3
@@ -54,7 +54,7 @@ jobs:
type=raw,value=latest,enable={{is_default_branch}} type=raw,value=latest,enable={{is_default_branch}}
- name: Build and push Docker image - name: Build and push Docker image
uses: docker/build-push-action@v6 uses: docker/build-push-action@v5
with: with:
context: . context: .
push: ${{ github.event_name != 'pull_request' }} push: ${{ github.event_name != 'pull_request' }}
@@ -63,30 +63,4 @@ jobs:
cache-from: type=gha cache-from: type=gha
cache-to: type=gha,mode=max cache-to: type=gha,mode=max
platforms: linux/amd64,linux/arm64 platforms: linux/amd64,linux/arm64
build-args: |
NEXT_PUBLIC_SHOW_ABOUT_AND_NOTICE=true
# 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@v5
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

View File

@@ -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: ${{ matrix.os }}
steps:
- name: Checkout code
uses: actions/checkout@v6
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: 24
cache: "npm"
- name: Install dependencies
run: npm ci
- name: Build and publish Electron app
run: npm run dist:${{ matrix.platform }}
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}

28
.gitignore vendored
View File

@@ -2,8 +2,6 @@
# dependencies # dependencies
/node_modules /node_modules
packages/*/node_modules
packages/*/dist
/.pnp /.pnp
.pnp.* .pnp.*
.yarn/* .yarn/*
@@ -42,27 +40,5 @@ yarn-error.log*
*.tsbuildinfo *.tsbuildinfo
next-env.d.ts next-env.d.ts
push-via-ec2.sh push-via-ec2.sh
.claude/ .claude/settings.local.json
.playwright-mcp/ .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
# edgeone
.edgeone

View File

@@ -1,7 +1,7 @@
# Multi-stage Dockerfile for Next.js # Multi-stage Dockerfile for Next.js
# Stage 1: Install dependencies # Stage 1: Install dependencies
FROM node:24-alpine AS deps FROM node:20-alpine AS deps
RUN apk add --no-cache libc6-compat RUN apk add --no-cache libc6-compat
WORKDIR /app WORKDIR /app
@@ -9,10 +9,10 @@ WORKDIR /app
COPY package.json package-lock.json* ./ COPY package.json package-lock.json* ./
# Install dependencies # Install dependencies
RUN npm install RUN npm ci
# Stage 2: Build application # Stage 2: Build application
FROM node:24-alpine AS builder FROM node:20-alpine AS builder
WORKDIR /app WORKDIR /app
# Copy node_modules from deps stage # Copy node_modules from deps stage
@@ -22,19 +22,11 @@ COPY . .
# Disable Next.js telemetry during build # Disable Next.js telemetry during build
ENV NEXT_TELEMETRY_DISABLED=1 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=${NEXT_PUBLIC_DRAWIO_BASE_URL}
# Build-time argument to show About link and Notice icon
ARG NEXT_PUBLIC_SHOW_ABOUT_AND_NOTICE=false
ENV NEXT_PUBLIC_SHOW_ABOUT_AND_NOTICE=${NEXT_PUBLIC_SHOW_ABOUT_AND_NOTICE}
# Build Next.js application (standalone mode) # Build Next.js application (standalone mode)
RUN npm run build RUN npm run build
# Stage 3: Production runtime # Stage 3: Production runtime
FROM node:24-alpine AS runner FROM node:20-alpine AS runner
WORKDIR /app WORKDIR /app
ENV NODE_ENV=production ENV NODE_ENV=production
@@ -58,6 +50,6 @@ EXPOSE 3000
ENV PORT=3000 ENV PORT=3000
ENV HOSTNAME="0.0.0.0" ENV HOSTNAME="0.0.0.0"
# Start the application (HOSTNAME override needed for AWS App Runner) # Start the application
CMD ["sh", "-c", "HOSTNAME=0.0.0.0 exec node server.js"] CMD ["node", "server.js"]

308
README.md
View File

@@ -4,50 +4,31 @@
**AI-Powered Diagram Creation Tool - Chat, Draw, Visualize** **AI-Powered Diagram Creation Tool - Chat, Draw, Visualize**
English | [中文](./docs/cn/README_CN.md) | [日本語](./docs/ja/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: 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/)
[![License: Apache 2.0](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) [![TypeScript](https://img.shields.io/badge/TypeScript-5.x-blue)](https://www.typescriptlang.org/)
[![Next.js](https://img.shields.io/badge/Next.js-16.x-black)](https://nextjs.org/)
[![React](https://img.shields.io/badge/React-19.x-61dafb)](https://react.dev/)
[![Sponsor](https://img.shields.io/badge/Sponsor-❤-ea4aaa)](https://github.com/sponsors/DayuanJiang) [![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> </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. A Next.js web application that integrates AI capabilities with draw.io diagrams. Create, modify, and enhance diagrams through natural language commands and AI-assisted visualization.
> Note: Thanks to <img src="https://raw.githubusercontent.com/DayuanJiang/next-ai-draw-io/main/public/doubao-color.png" alt="" height="20" /> [ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) sponsorship, the demo site now uses the powerful K2-thinking model! 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
## **Examples**
## 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)
- [Claude Code CLI](#claude-code-cli)
- [Getting Started](#getting-started)
- [Try it Online](#try-it-online)
- [Desktop Application](#desktop-application)
- [Run with Docker](#run-with-docker)
- [Installation](#installation)
- [Deployment](#deployment)
- [Deploy to EdgeOne Pages](#deploy-to-edgeone-pages)
- [Deploy on Vercel (Recommended)](#deploy-on-vercel-recommended)
- [Deploy on Cloudflare Workers](#deploy-on-cloudflare-workers)
- [Multi-Provider Support](#multi-provider-support)
- [How It Works](#how-it-works)
- [Support \& Contact](#support--contact)
- [Star History](#star-history)
## Examples
Here are some example prompts and their generated diagrams: Here are some example prompts and their generated diagrams:
@@ -87,143 +68,6 @@ Here are some example prompts and their generated diagrams:
</table> </table>
</div> </div>
## Features
- **LLM-Powered Diagram Creation**: Leverage Large Language Models to create and manipulate draw.io diagrams directly through natural language commands
- **Image-Based Diagram Replication**: Upload existing diagrams or images and have the AI replicate and enhance them automatically
- **PDF & Text File Upload**: Upload PDF documents and text files to extract content and generate diagrams from existing documents
- **AI Reasoning Display**: View the AI's thinking process for supported models (OpenAI o1/o3, Gemini, Claude, etc.)
- **Diagram History**: Comprehensive version control that tracks all changes, allowing you to view and restore previous versions of your diagrams before the AI editing.
- **Interactive Chat Interface**: Communicate with AI to refine your diagrams in real-time
- **Cloud Architecture Diagram Support**: Specialized support for generating cloud architecture diagrams (AWS, GCP, Azure)
- **Animated Connectors**: Create dynamic and animated connectors between diagram elements for better visualization
## MCP Server (Preview)
> **Preview Feature**: This feature is experimental and may not be stable.
Use Next AI Draw.io with AI agents like Claude Desktop, Cursor, and VS Code via MCP (Model Context Protocol).
```json
{
"mcpServers": {
"drawio": {
"command": "npx",
"args": ["@next-ai-drawio/mcp-server@latest"]
}
}
}
```
### Claude Code CLI
```bash
claude mcp add drawio -- npx @next-ai-drawio/mcp-server@latest
```
Then ask Claude to create diagrams:
> "Create a flowchart showing user authentication with login, MFA, and session management"
The diagram appears in your browser in real-time!
See the [MCP Server README](./packages/mcp-server/README.md) for VS Code, Cursor, and other client configurations.
## Getting Started
### Try it Online
No installation needed! Try the app directly on our demo site:
[![Live Demo](./public/live-demo-button.svg)](https://next-ai-drawio.jiang.jp/)
> **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):
Supported platforms: Windows, macOS, Linux.
### Run with Docker
[Go to Docker Guide](./docs/en/docker.md)
### Installation
1. Clone the repository:
```bash
git clone https://github.com/DayuanJiang/next-ai-draw-io
cd next-ai-draw-io
npm install
cp env.example .env.local
```
See the [Provider Configuration Guide](./docs/en/ai-providers.md) for detailed setup instructions for each provider.
2. Run the development server:
```bash
npm run dev
```
3. Open [http://localhost:6002](http://localhost:6002) in your browser to see the application.
## Deployment
### Deploy to EdgeOne Pages
You can deploy with one click using [Tencent EdgeOne Pages](https://pages.edgeone.ai/).
Deploy by this button:
[![Deploy to EdgeOne Pages](https://cdnstatic.tencentcs.com/edgeone/pages/deploy.svg)](https://edgeone.ai/pages/new?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
Check out the [Tencent EdgeOne Pages documentation](https://pages.edgeone.ai/document/deployment-overview) for more details.
Additionally, deploying through Tencent EdgeOne Pages will also grant you a [daily free quota for DeepSeek models](https://pages.edgeone.ai/document/edge-ai).
### Deploy on Vercel (Recommended)
[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
The easiest way to deploy is using [Vercel](https://vercel.com/new), the creators of Next.js. Be sure to **set the environment variables** in the Vercel dashboard as you did in your local `.env.local` file.
See the [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details.
### Deploy on Cloudflare Workers
[Go to Cloudflare Deploy Guide](./docs/en/cloudflare-deploy.md)
## Multi-Provider Support
- [ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)
- AWS Bedrock (default)
- OpenAI
- Anthropic
- Google AI
- Azure OpenAI
- Ollama
- OpenRouter
- DeepSeek
- SiliconFlow
- SGLang
- Vercel AI Gateway
All providers except AWS Bedrock and OpenRouter support custom endpoints.
📖 **[Detailed Provider Configuration Guide](./docs/en/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 the `claude` series has been trained on draw.io diagrams with cloud architecture logos like AWS, Azure, GCP. So if you want to create cloud architecture diagrams, this is the best choice.
## How It Works ## How It Works
The application uses the following technologies: The application uses the following technologies:
@@ -234,11 +78,131 @@ The application uses the following technologies:
Diagrams are represented as XML that can be rendered in draw.io. The AI processes your commands and generates or modifies this XML accordingly. Diagrams are represented as XML that can be rendered in draw.io. The AI processes your commands and generates or modifies this XML accordingly.
## Multi-Provider Support
- AWS Bedrock (default)
- OpenAI
- Anthropic
- Google AI
- Azure OpenAI
- Ollama
- OpenRouter
- DeepSeek
All providers except AWS Bedrock and OpenRouter support custom endpoints.
📖 **[Detailed Provider Configuration Guide](./docs/ai-providers.md)** - See setup instructions for each provider.
**Model Requirements**: This task requires strong model capabilities for generating long-form text with strict formatting constraints (draw.io XML). Recommended models include Claude Sonnet 4.5, GPT-4o, Gemini 2.0, and DeepSeek V3/R1.
Note that `claude-sonnet-4-5` has trained on draw.io diagrams with AWS logos, so if you want to create AWS architecture diagrams, this is the best choice.
## Getting Started
### Run with Docker (Recommended)
If you just want to run it locally, the best way is to use Docker.
First, install Docker if you haven't already: [Get Docker](https://docs.docker.com/get-docker/)
Then run:
```bash
docker run -d -p 3000:3000 \
-e AI_PROVIDER=openai \
-e AI_MODEL=gpt-4o \
-e OPENAI_API_KEY=your_api_key \
ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
Open [http://localhost:3000](http://localhost:3000) in your browser.
Replace the environment variables with your preferred AI provider configuration. See [Multi-Provider Support](#multi-provider-support) for available options.
### Installation
1. Clone the repository:
```bash
git clone https://github.com/DayuanJiang/next-ai-draw-io
cd next-ai-draw-io
```
2. Install dependencies:
```bash
npm install
# or
yarn install
```
3. Configure your AI provider:
Create a `.env.local` file in the root directory:
```bash
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)
- Set `AI_MODEL` to the specific model you want to use
- Add the required API keys for your provider
- `ACCESS_CODE_LIST`: Optional access password(s), can be comma-separated for multiple passwords.
> Warning: If you do not set `ACCESS_CODE_LIST`, anyone can access your deployed site directly, which may lead to rapid depletion of your token. It is recommended to set this option.
See the [Provider Configuration Guide](./docs/ai-providers.md) for detailed setup instructions for each provider.
4. Run the development server:
```bash
npm run dev
```
5. Open [http://localhost:3000](http://localhost:3000) in your browser to see the application.
## Deployment
The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new) from the creators of Next.js.
Check out the [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details.
Or you can deploy by this button.
[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
Be sure to **set the environment variables** in the Vercel dashboard as you did in your local `.env.local` file.
## Project Structure
```
app/ # Next.js App Router
api/chat/ # Chat API endpoint with AI tools
page.tsx # Main page with DrawIO embed
components/ # React components
chat-panel.tsx # Chat interface with diagram control
chat-input.tsx # User input component with file upload
history-dialog.tsx # Diagram version history viewer
ui/ # UI components (buttons, cards, etc.)
contexts/ # React context providers
diagram-context.tsx # Global diagram state management
lib/ # Utility functions and helpers
ai-providers.ts # Multi-provider AI configuration
utils.ts # XML processing and conversion utilities
public/ # Static assets including example images
```
## 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 ## Support & Contact
**Special thanks to [ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) for sponsoring the API token usage of the demo site!** Register on the ARK platform to get 500K free tokens for all models!
If you find this project useful, please consider [sponsoring](https://github.com/sponsors/DayuanJiang) to help me host the live demo site! If you find this project useful, please consider [sponsoring](https://github.com/sponsors/DayuanJiang) to help me host the live demo site!
For support or inquiries, please open an issue on the GitHub repository or contact the maintainer at: For support or inquiries, please open an issue on the GitHub repository or contact the maintainer at:

216
README_CN.md Normal file
View File

@@ -0,0 +1,216 @@
# Next AI Draw.io
<div align="center">
**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)
[![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)
[🚀 在线演示](https://next-ai-drawio.jiang.jp/)
</div>
一个集成了AI功能的Next.js网页应用与draw.io图表无缝结合。通过自然语言命令和AI辅助可视化来创建、修改和增强图表。
https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
## 功能特性
- **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:
<div align="center">
<table width="100%">
<tr>
<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" />
</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" />
</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" />
</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" />
</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" />
</td>
</tr>
</table>
</div>
## 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。
## 多提供商支持
- AWS Bedrock默认
- OpenAI
- Anthropic
- Google AI
- Azure OpenAI
- Ollama
- OpenRouter
- DeepSeek
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](./docs/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。
## 快速开始
### 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。
首先如果您还没有安装Docker请先安装[获取Docker](https://docs.docker.com/get-docker/)
然后运行:
```bash
docker run -d -p 3000:3000 \
-e AI_PROVIDER=openai \
-e AI_MODEL=gpt-4o \
-e OPENAI_API_KEY=your_api_key \
ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
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)。
### 安装
1. 克隆仓库:
```bash
git clone https://github.com/DayuanJiang/next-ai-draw-io
cd next-ai-draw-io
```
2. 安装依赖:
```bash
npm install
# 或
yarn install
```
3. 配置您的AI提供商
在根目录创建 `.env.local` 文件:
```bash
cp env.example .env.local
```
编辑 `.env.local` 并配置您选择的提供商:
-`AI_PROVIDER` 设置为您选择的提供商bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek
-`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
- `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](./docs/ai-providers.md)。
4. 运行开发服务器:
```bash
npm run dev
```
5. 在浏览器中打开 [http://localhost:3000](http://localhost:3000) 查看应用。
## 部署
部署Next.js应用最简单的方式是使用Next.js创建者提供的[Vercel平台](https://vercel.com/new)。
查看[Next.js部署文档](https://nextjs.org/docs/app/building-your-application/deploying)了解更多详情。
或者您可以通过此按钮部署:
[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
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。
## 项目结构
```
app/ # Next.js App Router
api/chat/ # 带AI工具的聊天API端点
page.tsx # 带DrawIO嵌入的主页面
components/ # React组件
chat-panel.tsx # 带图表控制的聊天界面
chat-input.tsx # 带文件上传的用户输入组件
history-dialog.tsx # 图表版本历史查看器
ui/ # UI组件按钮、卡片等
contexts/ # React上下文提供者
diagram-context.tsx # 全局图表状态管理
lib/ # 工具函数和辅助程序
ai-providers.ts # 多提供商AI配置
utils.ts # XML处理和转换工具
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!
如需支持或咨询请在GitHub仓库上提交issue或联系维护者
- 邮箱me[at]jiang.jp
## Star历史
[![Star History Chart](https://api.star-history.com/svg?repos=DayuanJiang/next-ai-draw-io&type=date&legend=top-left)](https://www.star-history.com/#DayuanJiang/next-ai-draw-io&type=date&legend=top-left)
---

216
README_JA.md Normal file
View File

@@ -0,0 +1,216 @@
# Next AI Draw.io
<div align="center">
**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
[![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)
[🚀 ライブデモ](https://next-ai-drawio.jiang.jp/)
</div>
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。自然言語コマンドとAI支援の可視化により、ダイアグラムを作成、修正、強化できます。
https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
## 機能
- **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:
<div align="center">
<table width="100%">
<tr>
<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" />
</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" />
</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" />
</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" />
</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" />
</td>
</tr>
</table>
</div>
## 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。
## 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
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](./docs/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。
## はじめに
### 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。
まず、Dockerをインストールしていない場合はインストールしてください[Dockerを入手](https://docs.docker.com/get-docker/)
次に実行:
```bash
docker run -d -p 3000:3000 \
-e AI_PROVIDER=openai \
-e AI_MODEL=gpt-4o \
-e OPENAI_API_KEY=your_api_key \
ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
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。
### インストール
1. リポジトリをクローン:
```bash
git clone https://github.com/DayuanJiang/next-ai-draw-io
cd next-ai-draw-io
```
2. 依存関係をインストール:
```bash
npm install
# または
yarn install
```
3. AIプロバイダーを設定
ルートディレクトリに`.env.local`ファイルを作成:
```bash
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
- `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
- `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](./docs/ai-providers.md)を参照してください。
4. 開発サーバーを起動:
```bash
npm run dev
```
5. ブラウザで[http://localhost:3000](http://localhost:3000)を開いてアプリケーションを確認。
## デプロイ
Next.jsアプリをデプロイする最も簡単な方法は、Next.jsの作成者による[Vercelプラットフォーム](https://vercel.com/new)を使用することです。
詳細は[Next.jsデプロイメントドキュメント](https://nextjs.org/docs/app/building-your-application/deploying)をご覧ください。
または、このボタンでデプロイできます:
[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
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。
## プロジェクト構造
```
app/ # Next.js App Router
api/chat/ # AIツール付きチャットAPIエンドポイント
page.tsx # DrawIO埋め込み付きメインページ
components/ # Reactコンポーネント
chat-panel.tsx # ダイアグラム制御付きチャットインターフェース
chat-input.tsx # ファイルアップロード付きユーザー入力コンポーネント
history-dialog.tsx # ダイアグラムバージョン履歴ビューア
ui/ # UIコンポーネントボタン、カードなど
contexts/ # Reactコンテキストプロバイダー
diagram-context.tsx # グローバルダイアグラム状態管理
lib/ # ユーティリティ関数とヘルパー
ai-providers.ts # マルチプロバイダーAI設定
utils.ts # XML処理と変換ユーティリティ
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!
サポートやお問い合わせについては、GitHubリポジトリでissueを開くか、メンテナーにご連絡ください
- メールme[at]jiang.jp
## スター履歴
[![Star History Chart](https://api.star-history.com/svg?repos=DayuanJiang/next-ai-draw-io&type=date&legend=top-left)](https://www.star-history.com/#DayuanJiang/next-ai-draw-io&type=date&legend=top-left)
---

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

@@ -1,172 +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

@@ -1,268 +0,0 @@
"use client"
import { usePathname, useRouter } from "next/navigation"
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"
import { i18n, type Locale } from "@/lib/i18n/config"
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 router = useRouter()
const pathname = usePathname()
// Extract current language from pathname (e.g., "/zh/about" → "zh")
const currentLang = (pathname.split("/")[1] || i18n.defaultLocale) as Locale
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(() => {
// Restore saved locale and redirect if needed
const savedLocale = localStorage.getItem("next-ai-draw-io-locale")
if (savedLocale && i18n.locales.includes(savedLocale as Locale)) {
const pathParts = pathname.split("/").filter(Boolean)
const currentLocale = pathParts[0]
if (currentLocale !== savedLocale) {
pathParts[0] = savedLocale
router.replace(`/${pathParts.join("/")}`)
return // Wait for redirect
}
}
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)
}, [pathname, router])
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}-${darkMode}-${currentLang}`}
ref={drawioRef}
onExport={handleDiagramExport}
onLoad={onDrawioLoad}
onSave={handleDrawioSave}
baseUrl={drawioBaseUrl}
urlParameters={{
ui: drawioUi,
spin: true,
libraries: false,
saveAndExit: false,
noExitBtn: true,
dark: darkMode,
lang: currentLang,
}}
/>
) : (
<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>
)
}

View File

@@ -10,18 +10,7 @@ export const metadata: Metadata = {
keywords: ["AI图表", "draw.io", "AWS架构", "GCP图表", "Azure图表", "LLM"], 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() { 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 ( return (
<div className="min-h-screen bg-gray-50"> <div className="min-h-screen bg-gray-50">
{/* Navigation */} {/* Navigation */}
@@ -72,93 +61,36 @@ export default function AboutCN() {
<p className="text-xl text-gray-600 font-medium"> <p className="text-xl text-gray-600 font-medium">
AI驱动的图表创建工具 - AI驱动的图表创建工具 -
</p> </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>
<div className="relative mb-8 rounded-2xl bg-gradient-to-br from-amber-50 via-orange-50 to-yellow-50 p-[1px] shadow-lg"> <div className="bg-amber-50 border border-amber-200 rounded-lg p-4 mb-6">
<div className="absolute inset-0 rounded-2xl bg-gradient-to-br from-amber-400 via-orange-400 to-yellow-400 opacity-20" /> <p className="text-amber-800">
<div className="relative rounded-2xl bg-white/80 backdrop-blur-sm p-6"> Claude Opus 4.5
{/* Header */}
<div className="mb-4"> Claude Haiku 4.5
<h3 className="text-lg font-bold text-gray-900 tracking-tight"> </p>
</h3>
</div>
{/* Story */}
<div className="space-y-3 text-sm text-gray-700 leading-relaxed mb-5">
<p>
{" "}
<a
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
target="_blank"
rel="noopener noreferrer"
className="font-semibold text-blue-600 hover:underline"
>
</a>
{" "}
<span className="font-semibold text-amber-700">
K2-thinking
</span>{" "}
{" "}
<span className="font-semibold text-amber-700">
50Token
</span>
</p>
</div>
{/* Usage Limits */}
<p className="text-sm text-gray-600 mb-3">
使
</p>
<div className="grid grid-cols-3 gap-3 mb-5">
<div className="text-center p-3 bg-white/60 rounded-lg">
<p className="text-lg font-bold text-amber-600">
{formatNumber(dailyRequestLimit)}
</p>
<p className="text-xs text-gray-500">
/
</p>
</div>
<div className="text-center p-3 bg-white/60 rounded-lg">
<p className="text-lg font-bold text-amber-600">
{formatNumber(dailyTokenLimit)}
</p>
<p className="text-xs text-gray-500">
Token/
</p>
</div>
<div className="text-center p-3 bg-white/60 rounded-lg">
<p className="text-lg font-bold text-amber-600">
{formatNumber(tpmLimit)}
</p>
<p className="text-xs text-gray-500">
Token/
</p>
</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">
<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
</p>
<p className="text-xs text-gray-500 max-w-md mx-auto">
Key
</p>
</div>
</div>
</div> </div>
<p className="text-gray-700"> <p className="text-gray-700">
@@ -322,16 +254,6 @@ export default function AboutCN() {
</h2> </h2>
<ul className="list-disc pl-6 text-gray-700 space-y-1"> <ul className="list-disc pl-6 text-gray-700 space-y-1">
<li>
<a
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
target="_blank"
rel="noopener noreferrer"
className="text-blue-600 hover:underline"
>
</a>
</li>
<li>AWS Bedrock</li> <li>AWS Bedrock</li>
<li> <li>
OpenAI / OpenAI兼容API{" "} OpenAI / OpenAI兼容API{" "}
@@ -343,7 +265,6 @@ export default function AboutCN() {
<li>Ollama</li> <li>Ollama</li>
<li>OpenRouter</li> <li>OpenRouter</li>
<li>DeepSeek</li> <li>DeepSeek</li>
<li>SiliconFlow</li>
</ul> </ul>
<p className="text-gray-700 mt-4"> <p className="text-gray-700 mt-4">
<code>claude-sonnet-4-5</code>{" "} <code>claude-sonnet-4-5</code>{" "}
@@ -351,21 +272,18 @@ export default function AboutCN() {
</p> </p>
{/* Support */} {/* Support */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4"> <div className="flex items-center gap-4 mt-10 mb-4">
<h2 className="text-2xl font-semibold text-gray-900">
</h2>
<p className="text-gray-700 mb-4 font-semibold"> </h2>
{" "} <iframe
<a src="https://github.com/sponsors/DayuanJiang/button"
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project" title="Sponsor DayuanJiang"
target="_blank" height="32"
rel="noopener noreferrer" width="114"
className="text-blue-600 hover:underline" style={{ border: 0, borderRadius: 6 }}
> />
</div>
</a>{" "}
API Token
</p>
<p className="text-gray-700"> <p className="text-gray-700">
{" "} {" "}
<a <a

View File

@@ -17,18 +17,7 @@ export const metadata: Metadata = {
], ],
} }
function formatNumber(num: number): string {
if (num >= 1000) {
return `${num / 1000}k`
}
return num.toString()
}
export default function AboutJA() { 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 ( return (
<div className="min-h-screen bg-gray-50"> <div className="min-h-screen bg-gray-50">
{/* Navigation */} {/* Navigation */}
@@ -80,91 +69,37 @@ export default function AboutJA() {
AI搭載のダイアグラム作成ツール - AI搭載のダイアグラム作成ツール -
</p> </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>
<div className="relative mb-8 rounded-2xl bg-gradient-to-br from-amber-50 via-orange-50 to-yellow-50 p-[1px] shadow-lg"> <div className="bg-amber-50 border border-amber-200 rounded-lg p-4 mb-6">
<div className="absolute inset-0 rounded-2xl bg-gradient-to-br from-amber-400 via-orange-400 to-yellow-400 opacity-20" /> <p className="text-amber-800">
<div className="relative rounded-2xl bg-white/80 backdrop-blur-sm p-6"> Claude
{/* Header */} Opus 4.5
<div className="mb-4">
<h3 className="text-lg font-bold text-gray-900 tracking-tight"> Claude Haiku 4.5
ByteDance Doubao提供 </p>
</h3>
</div>
{/* Story */}
<div className="space-y-3 text-sm text-gray-700 leading-relaxed mb-5">
<p>
<a
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
target="_blank"
rel="noopener noreferrer"
className="font-semibold text-blue-600 hover:underline"
>
ByteDance Doubao
</a>
{" "}
<span className="font-semibold text-amber-700">
K2-thinking
</span>{" "}
使{" "}
<span className="font-semibold text-amber-700">
50
</span>
</p>
</div>
{/* Usage Limits */}
<p className="text-sm text-gray-600 mb-3">
使
</p>
<div className="grid grid-cols-3 gap-3 mb-5">
<div className="text-center p-3 bg-white/60 rounded-lg">
<p className="text-lg font-bold text-amber-600">
{formatNumber(dailyRequestLimit)}
</p>
<p className="text-xs text-gray-500">
/
</p>
</div>
<div className="text-center p-3 bg-white/60 rounded-lg">
<p className="text-lg font-bold text-amber-600">
{formatNumber(dailyTokenLimit)}
</p>
<p className="text-xs text-gray-500">
/
</p>
</div>
<div className="text-center p-3 bg-white/60 rounded-lg">
<p className="text-lg font-bold text-amber-600">
{formatNumber(tpmLimit)}
</p>
<p className="text-xs text-gray-500">
/
</p>
</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">
<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もできます
</p>
<p className="text-xs text-gray-500 max-w-md mx-auto">
</p>
</div>
</div>
</div> </div>
<p className="text-gray-700"> <p className="text-gray-700">
@@ -337,16 +272,6 @@ export default function AboutJA() {
</h2> </h2>
<ul className="list-disc pl-6 text-gray-700 space-y-1"> <ul className="list-disc pl-6 text-gray-700 space-y-1">
<li>
<a
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
target="_blank"
rel="noopener noreferrer"
className="text-blue-600 hover:underline"
>
ByteDance Doubao
</a>
</li>
<li>AWS Bedrock</li> <li>AWS Bedrock</li>
<li> <li>
OpenAI / OpenAI互換API<code>OPENAI_BASE_URL</code> OpenAI / OpenAI互換API<code>OPENAI_BASE_URL</code>
@@ -358,7 +283,6 @@ export default function AboutJA() {
<li>Ollama</li> <li>Ollama</li>
<li>OpenRouter</li> <li>OpenRouter</li>
<li>DeepSeek</li> <li>DeepSeek</li>
<li>SiliconFlow</li>
</ul> </ul>
<p className="text-gray-700 mt-4"> <p className="text-gray-700 mt-4">
<code>claude-sonnet-4-5</code> <code>claude-sonnet-4-5</code>
@@ -366,21 +290,18 @@ export default function AboutJA() {
</p> </p>
{/* Support */} {/* Support */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4"> <div className="flex items-center gap-4 mt-10 mb-4">
<h2 className="text-2xl font-semibold text-gray-900">
</h2>
<p className="text-gray-700 mb-4 font-semibold"> </h2>
APIトークン使用を支援してくださった{" "} <iframe
<a src="https://github.com/sponsors/DayuanJiang/button"
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project" title="Sponsor DayuanJiang"
target="_blank" height="32"
rel="noopener noreferrer" width="114"
className="text-blue-600 hover:underline" style={{ border: 0, borderRadius: 6 }}
> />
ByteDance Doubao </div>
</a>{" "}
</p>
<p className="text-gray-700"> <p className="text-gray-700">
{" "} {" "}
<a <a

View File

@@ -17,18 +17,7 @@ export const metadata: Metadata = {
], ],
} }
function formatNumber(num: number): string {
if (num >= 1000) {
return `${num / 1000}k`
}
return num.toString()
}
export default function About() { 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 ( return (
<div className="min-h-screen bg-gray-50"> <div className="min-h-screen bg-gray-50">
{/* Navigation */} {/* Navigation */}
@@ -80,97 +69,39 @@ export default function About() {
AI-Powered Diagram Creation Tool - Chat, Draw, AI-Powered Diagram Creation Tool - Chat, Draw,
Visualize Visualize
</p> </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>
<div className="relative mb-8 rounded-2xl bg-gradient-to-br from-amber-50 via-orange-50 to-yellow-50 p-[1px] shadow-lg"> <div className="bg-amber-50 border border-amber-200 rounded-lg p-4 mb-6">
<div className="absolute inset-0 rounded-2xl bg-gradient-to-br from-amber-400 via-orange-400 to-yellow-400 opacity-20" /> <p className="text-amber-800">
<div className="relative rounded-2xl bg-white/80 backdrop-blur-sm p-6"> This app is designed to run on Claude Opus 4.5 for
{/* Header */} best performance. However, due to
<div className="mb-4"> higher-than-expected traffic, running the top-tier
<h3 className="text-lg font-bold text-gray-900 tracking-tight"> model has become cost-prohibitive. To avoid service
Sponsored by ByteDance Doubao interruptions and manage costs, I have switched the
</h3> backend to Claude Haiku 4.5.
</div> </p>
{/* Story */}
<div className="space-y-3 text-sm text-gray-700 leading-relaxed mb-5">
<p>
Great news! Thanks to the generous
sponsorship from{" "}
<a
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
target="_blank"
rel="noopener noreferrer"
className="font-semibold text-blue-600 hover:underline"
>
ByteDance Doubao
</a>
, the demo site now uses the powerful{" "}
<span className="font-semibold text-amber-700">
K2-thinking
</span>{" "}
model for better diagram generation! Sign up
via the link to get{" "}
<span className="font-semibold text-amber-700">
500K free tokens
</span>{" "}
for all models!
</p>
</div>
{/* Usage Limits */}
<p className="text-sm text-gray-600 mb-3">
Please note the current usage limits:
</p>
<div className="grid grid-cols-3 gap-3 mb-5">
<div className="text-center p-3 bg-white/60 rounded-lg">
<p className="text-lg font-bold text-amber-600">
{formatNumber(dailyRequestLimit)}
</p>
<p className="text-xs text-gray-500">
requests/day
</p>
</div>
<div className="text-center p-3 bg-white/60 rounded-lg">
<p className="text-lg font-bold text-amber-600">
{formatNumber(dailyTokenLimit)}
</p>
<p className="text-xs text-gray-500">
tokens/day
</p>
</div>
<div className="text-center p-3 bg-white/60 rounded-lg">
<p className="text-lg font-bold text-amber-600">
{formatNumber(tpmLimit)}
</p>
<p className="text-xs text-gray-500">
tokens/min
</p>
</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">
<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 also use your own API key with any
supported provider. 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>
</div>
</div> </div>
<p className="text-gray-700"> <p className="text-gray-700">
@@ -356,16 +287,6 @@ export default function About() {
Multi-Provider Support Multi-Provider Support
</h2> </h2>
<ul className="list-disc pl-6 text-gray-700 space-y-1"> <ul className="list-disc pl-6 text-gray-700 space-y-1">
<li>
<a
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
target="_blank"
rel="noopener noreferrer"
className="text-blue-600 hover:underline"
>
ByteDance Doubao
</a>
</li>
<li>AWS Bedrock (default)</li> <li>AWS Bedrock (default)</li>
<li> <li>
OpenAI / OpenAI-compatible APIs (via{" "} OpenAI / OpenAI-compatible APIs (via{" "}
@@ -377,7 +298,6 @@ export default function About() {
<li>Ollama</li> <li>Ollama</li>
<li>OpenRouter</li> <li>OpenRouter</li>
<li>DeepSeek</li> <li>DeepSeek</li>
<li>SiliconFlow</li>
</ul> </ul>
<p className="text-gray-700 mt-4"> <p className="text-gray-700 mt-4">
Note that <code>claude-sonnet-4-5</code> has trained on Note that <code>claude-sonnet-4-5</code> has trained on
@@ -387,21 +307,18 @@ export default function About() {
</p> </p>
{/* Support */} {/* Support */}
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4"> <div className="flex items-center gap-4 mt-10 mb-4">
Support &amp; Contact <h2 className="text-2xl font-semibold text-gray-900">
</h2> Support &amp; Contact
<p className="text-gray-700 mb-4 font-semibold"> </h2>
Special thanks to{" "} <iframe
<a src="https://github.com/sponsors/DayuanJiang/button"
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project" title="Sponsor DayuanJiang"
target="_blank" height="32"
rel="noopener noreferrer" width="114"
className="text-blue-600 hover:underline" style={{ border: 0, borderRadius: 6 }}
> />
ByteDance Doubao </div>
</a>{" "}
for sponsoring the API token usage of the demo site!
</p>
<p className="text-gray-700"> <p className="text-gray-700">
If you find this project useful, please consider{" "} If you find this project useful, please consider{" "}
<a <a

View File

@@ -1,28 +1,12 @@
import { import {
APICallError,
convertToModelMessages, convertToModelMessages,
createUIMessageStream, createUIMessageStream,
createUIMessageStreamResponse, createUIMessageStreamResponse,
InvalidToolInputError,
LoadAPIKeyError,
stepCountIs,
streamText, streamText,
} from "ai" } from "ai"
import fs from "fs/promises"
import { jsonrepair } from "jsonrepair"
import path from "path"
import { z } from "zod" import { z } from "zod"
import { import { getAIModel } from "@/lib/ai-providers"
getAIModel,
supportsImageInput,
supportsPromptCaching,
} from "@/lib/ai-providers"
import { findCachedResponse } from "@/lib/cached-responses" import { findCachedResponse } from "@/lib/cached-responses"
import {
checkAndIncrementRequest,
isQuotaEnabled,
recordTokenUsage,
} from "@/lib/dynamo-quota-manager"
import { import {
getTelemetryConfig, getTelemetryConfig,
setTraceInput, setTraceInput,
@@ -30,9 +14,8 @@ import {
wrapWithObserve, wrapWithObserve,
} from "@/lib/langfuse" } from "@/lib/langfuse"
import { getSystemPrompt } from "@/lib/system-prompts" import { getSystemPrompt } from "@/lib/system-prompts"
import { getUserIdFromRequest } from "@/lib/user-id"
export const maxDuration = 120 export const maxDuration = 60
// File upload limits (must match client-side) // File upload limits (must match client-side)
const MAX_FILE_SIZE = 2 * 1024 * 1024 // 2MB const MAX_FILE_SIZE = 2 * 1024 * 1024 // 2MB
@@ -80,47 +63,6 @@ function isMinimalDiagram(xml: string): boolean {
return !stripped.includes('id="2"') return !stripped.includes('id="2"')
} }
// Helper function to replace historical tool call XML with placeholders
// This reduces token usage and forces LLM to rely on the current diagram XML (source of truth)
// Also fixes invalid/undefined inputs from interrupted streaming
function replaceHistoricalToolInputs(messages: any[]): any[] {
return messages.map((msg) => {
if (msg.role !== "assistant" || !Array.isArray(msg.content)) {
return msg
}
const replacedContent = msg.content
.map((part: any) => {
if (part.type === "tool-call") {
const toolName = part.toolName
// Fix invalid/undefined inputs from interrupted streaming
if (
!part.input ||
typeof part.input !== "object" ||
Object.keys(part.input).length === 0
) {
// Skip tool calls with invalid inputs entirely
return null
}
if (
toolName === "display_diagram" ||
toolName === "edit_diagram"
) {
return {
...part,
input: {
placeholder:
"[XML content replaced - see current diagram XML in system context]",
},
}
}
}
return part
})
.filter(Boolean) // Remove null entries (invalid tool calls)
return { ...msg, content: replacedContent }
})
}
// Helper function to create cached stream response // Helper function to create cached stream response
function createCachedStreamResponse(xml: string): Response { function createCachedStreamResponse(xml: string): Response {
const toolCallId = `cached-${Date.now()}` const toolCallId = `cached-${Date.now()}`
@@ -170,10 +112,11 @@ async function handleChatRequest(req: Request): Promise<Response> {
} }
} }
const { messages, xml, previousXml, sessionId } = await req.json() const { messages, xml, sessionId } = await req.json()
// Get user ID for Langfuse tracking and quota // Get user IP for Langfuse tracking
const userId = getUserIdFromRequest(req) const forwardedFor = req.headers.get("x-forwarded-for")
const userId = forwardedFor?.split(",")[0]?.trim() || "anonymous"
// Validate sessionId for Langfuse (must be string, max 200 chars) // Validate sessionId for Langfuse (must be string, max 200 chars)
const validSessionId = const validSessionId =
@@ -182,12 +125,9 @@ async function handleChatRequest(req: Request): Promise<Response> {
: undefined : undefined
// Extract user input text for Langfuse trace // Extract user input text for Langfuse trace
// Find the last USER message, not just the last message (which could be assistant in multi-step tool flows) const currentMessage = messages[messages.length - 1]
const lastUserMessage = [...messages]
.reverse()
.find((m: any) => m.role === "user")
const userInputText = const userInputText =
lastUserMessage?.parts?.find((p: any) => p.type === "text")?.text || "" currentMessage?.parts?.find((p: any) => p.type === "text")?.text || ""
// Update Langfuse trace with input, session, and user // Update Langfuse trace with input, session, and user
setTraceInput({ setTraceInput({
@@ -196,33 +136,6 @@ async function handleChatRequest(req: Request): Promise<Response> {
userId: userId, userId: userId,
}) })
// === SERVER-SIDE QUOTA CHECK START ===
// Quota is opt-in: only enabled when DYNAMODB_QUOTA_TABLE env var is set
const hasOwnApiKey = !!(
req.headers.get("x-ai-provider") && req.headers.get("x-ai-api-key")
)
// Skip quota check if: quota disabled, user has own API key, or is anonymous
if (isQuotaEnabled() && !hasOwnApiKey && userId !== "anonymous") {
const quotaCheck = await checkAndIncrementRequest(userId, {
requests: Number(process.env.DAILY_REQUEST_LIMIT) || 10,
tokens: Number(process.env.DAILY_TOKEN_LIMIT) || 200000,
tpm: Number(process.env.TPM_LIMIT) || 20000,
})
if (!quotaCheck.allowed) {
return Response.json(
{
error: quotaCheck.error,
type: quotaCheck.type,
used: quotaCheck.used,
limit: quotaCheck.limit,
},
{ status: 429 },
)
}
}
// === SERVER-SIDE QUOTA CHECK END ===
// === FILE VALIDATION START === // === FILE VALIDATION START ===
const fileValidation = validateFileParts(messages) const fileValidation = validateFileParts(messages)
if (!fileValidation.valid) { if (!fileValidation.valid) {
@@ -242,185 +155,47 @@ async function handleChatRequest(req: Request): Promise<Response> {
const cached = findCachedResponse(textPart?.text || "", !!filePart) const cached = findCachedResponse(textPart?.text || "", !!filePart)
if (cached) { if (cached) {
console.log(
"[Cache] Returning cached response for:",
textPart?.text,
)
return createCachedStreamResponse(cached.xml) return createCachedStreamResponse(cached.xml)
} }
} }
// === CACHE CHECK END === // === CACHE CHECK END ===
// Read client AI provider overrides from headers // Get AI model from environment configuration
const provider = req.headers.get("x-ai-provider") const { model, providerOptions, headers, modelId } = getAIModel()
let baseUrl = req.headers.get("x-ai-base-url")
// For EdgeOne provider, construct full URL from request origin
// because createOpenAI needs absolute URL, not relative path
if (provider === "edgeone" && !baseUrl) {
const origin = req.headers.get("origin") || new URL(req.url).origin
baseUrl = `${origin}/api/edgeai`
}
// Get cookie header for EdgeOne authentication (eo_token, eo_time)
const cookieHeader = req.headers.get("cookie")
const clientOverrides = {
provider,
baseUrl,
apiKey: req.headers.get("x-ai-api-key"),
modelId: req.headers.get("x-ai-model"),
// AWS Bedrock credentials
awsAccessKeyId: req.headers.get("x-aws-access-key-id"),
awsSecretAccessKey: req.headers.get("x-aws-secret-access-key"),
awsRegion: req.headers.get("x-aws-region"),
awsSessionToken: req.headers.get("x-aws-session-token"),
// Pass cookies for EdgeOne Pages authentication
...(provider === "edgeone" &&
cookieHeader && {
headers: { cookie: cookieHeader },
}),
}
// Read minimal style preference from header
const minimalStyle = req.headers.get("x-minimal-style") === "true"
// Get AI model with optional client overrides
const { model, providerOptions, headers, modelId } =
getAIModel(clientOverrides)
// Check if model supports prompt caching
const shouldCache = supportsPromptCaching(modelId)
console.log(
`[Prompt Caching] ${shouldCache ? "ENABLED" : "DISABLED"} for model: ${modelId}`,
)
// Get the appropriate system prompt based on model (extended for Opus/Haiku 4.5) // Get the appropriate system prompt based on model (extended for Opus/Haiku 4.5)
const systemMessage = getSystemPrompt(modelId, minimalStyle) const systemMessage = getSystemPrompt(modelId)
// Extract file parts (images) from the last user message const lastMessage = messages[messages.length - 1]
// Extract text from the last message parts
const lastMessageText =
lastMessage.parts?.find((part: any) => part.type === "text")?.text || ""
// Extract file parts (images) from the last message
const fileParts = const fileParts =
lastUserMessage?.parts?.filter((part: any) => part.type === "file") || lastMessage.parts?.filter((part: any) => part.type === "file") || []
[]
// Check if user is sending images to a model that doesn't support them
// AI SDK silently drops unsupported parts, so we need to catch this early
if (fileParts.length > 0 && !supportsImageInput(modelId)) {
return Response.json(
{
error: `The model "${modelId}" does not support image input. Please use a vision-capable model (e.g., GPT-4o, Claude, Gemini) or remove the image.`,
},
{ status: 400 },
)
}
// User input only - XML is now in a separate cached system message // User input only - XML is now in a separate cached system message
const formattedUserInput = `User input: const formattedUserInput = `User input:
"""md """md
${userInputText} ${lastMessageText}
"""` """`
// Convert UIMessages to ModelMessages and add system message // Convert UIMessages to ModelMessages and add system message
const modelMessages = await convertToModelMessages(messages) const modelMessages = convertToModelMessages(messages)
// DEBUG: Log incoming messages structure
console.log("[route.ts] Incoming messages count:", messages.length)
messages.forEach((msg: any, idx: number) => {
console.log(
`[route.ts] Message ${idx} role:`,
msg.role,
"parts count:",
msg.parts?.length,
)
if (msg.parts) {
msg.parts.forEach((part: any, partIdx: number) => {
if (
part.type === "tool-invocation" ||
part.type === "tool-result"
) {
console.log(`[route.ts] Part ${partIdx}:`, {
type: part.type,
toolName: part.toolName,
hasInput: !!part.input,
inputType: typeof part.input,
inputKeys:
part.input && typeof part.input === "object"
? Object.keys(part.input)
: null,
})
}
})
}
})
// Replace historical tool call XML with placeholders to reduce tokens
// Disabled by default - some models (e.g. minimax) copy placeholders instead of generating XML
const enableHistoryReplace =
process.env.ENABLE_HISTORY_XML_REPLACE === "true"
const placeholderMessages = enableHistoryReplace
? replaceHistoricalToolInputs(modelMessages)
: modelMessages
// Filter out messages with empty content arrays (Bedrock API rejects these) // Filter out messages with empty content arrays (Bedrock API rejects these)
// This is a safety measure - ideally convertToModelMessages should handle all cases // This is a safety measure - ideally convertToModelMessages should handle all cases
let enhancedMessages = placeholderMessages.filter( let enhancedMessages = modelMessages.filter(
(msg: any) => (msg: any) =>
msg.content && Array.isArray(msg.content) && msg.content.length > 0, msg.content && Array.isArray(msg.content) && msg.content.length > 0,
) )
// Filter out tool-calls with invalid inputs (from failed repair or interrupted streaming)
// Bedrock API rejects messages where toolUse.input is not a valid JSON object
enhancedMessages = enhancedMessages
.map((msg: any) => {
if (msg.role !== "assistant" || !Array.isArray(msg.content)) {
return msg
}
const filteredContent = msg.content.filter((part: any) => {
if (part.type === "tool-call") {
// Check if input is a valid object (not null, undefined, or empty)
if (
!part.input ||
typeof part.input !== "object" ||
Object.keys(part.input).length === 0
) {
console.warn(
`[route.ts] Filtering out tool-call with invalid input:`,
{ toolName: part.toolName, input: part.input },
)
return false
}
}
return true
})
return { ...msg, content: filteredContent }
})
.filter((msg: any) => msg.content && msg.content.length > 0)
// DEBUG: Log modelMessages structure (what's being sent to AI)
console.log("[route.ts] Model messages count:", enhancedMessages.length)
enhancedMessages.forEach((msg: any, idx: number) => {
console.log(
`[route.ts] ModelMsg ${idx} role:`,
msg.role,
"content count:",
msg.content?.length,
)
if (msg.content) {
msg.content.forEach((part: any, partIdx: number) => {
if (part.type === "tool-call" || part.type === "tool-result") {
console.log(`[route.ts] Content ${partIdx}:`, {
type: part.type,
toolName: part.toolName,
hasInput: !!part.input,
inputType: typeof part.input,
inputValue:
part.input === undefined
? "undefined"
: part.input === null
? "null"
: "object",
})
}
})
}
})
// Update the last message with user input only (XML moved to separate cached system message) // Update the last message with user input only (XML moved to separate cached system message)
if (enhancedMessages.length >= 1) { if (enhancedMessages.length >= 1) {
const lastModelMessage = enhancedMessages[enhancedMessages.length - 1] const lastModelMessage = enhancedMessages[enhancedMessages.length - 1]
@@ -449,7 +224,7 @@ ${userInputText}
// Add cache point to the last assistant message in conversation history // Add cache point to the last assistant message in conversation history
// This caches the entire conversation prefix for subsequent requests // This caches the entire conversation prefix for subsequent requests
// Strategy: system (cached) + history with last assistant (cached) + new user message // Strategy: system (cached) + history with last assistant (cached) + new user message
if (shouldCache && enhancedMessages.length >= 2) { if (enhancedMessages.length >= 2) {
// Find the last assistant message (should be second-to-last, before current user message) // Find the last assistant message (should be second-to-last, before current user message)
for (let i = enhancedMessages.length - 2; i >= 0; i--) { for (let i = enhancedMessages.length - 2; i >= 0; i--) {
if (enhancedMessages[i].role === "assistant") { if (enhancedMessages[i].role === "assistant") {
@@ -474,21 +249,17 @@ ${userInputText}
{ {
role: "system" as const, role: "system" as const,
content: systemMessage, content: systemMessage,
...(shouldCache && { providerOptions: {
providerOptions: { bedrock: { cachePoint: { type: "default" } },
bedrock: { cachePoint: { type: "default" } }, },
},
}),
}, },
// Cache breakpoint 2: Previous and Current diagram XML context // Cache breakpoint 2: Current diagram XML context
{ {
role: "system" as const, role: "system" as const,
content: `${previousXml ? `Previous diagram XML (before user's last message):\n"""xml\n${previousXml}\n"""\n\n` : ""}Current diagram XML (AUTHORITATIVE - the source of truth):\n"""xml\n${xml || ""}\n"""\n\nIMPORTANT: The "Current diagram XML" is the SINGLE SOURCE OF TRUTH for what's on the canvas right now. The user can manually add, delete, or modify shapes directly in draw.io. Always count and describe elements based on the CURRENT XML, not on what you previously generated. If both previous and current XML are shown, compare them to understand what the user changed. When using edit_diagram, COPY search patterns exactly from the CURRENT XML - attribute order matters!`, content: `Current diagram XML:\n"""xml\n${xml || ""}\n"""\nWhen using edit_diagram, COPY search patterns exactly from this XML - attribute order matters!`,
...(shouldCache && { providerOptions: {
providerOptions: { bedrock: { cachePoint: { type: "default" } },
bedrock: { cachePoint: { type: "default" } }, },
},
}),
}, },
] ]
@@ -496,73 +267,8 @@ ${userInputText}
const result = streamText({ const result = streamText({
model, model,
...(process.env.MAX_OUTPUT_TOKENS && {
maxOutputTokens: parseInt(process.env.MAX_OUTPUT_TOKENS, 10),
}),
stopWhen: stepCountIs(5),
// Repair truncated tool calls when maxOutputTokens is reached mid-JSON
experimental_repairToolCall: async ({ toolCall, error }) => {
// DEBUG: Log what we're trying to repair
console.log(`[repairToolCall] Tool: ${toolCall.toolName}`)
console.log(
`[repairToolCall] Error: ${error.name} - ${error.message}`,
)
console.log(`[repairToolCall] Input type: ${typeof toolCall.input}`)
console.log(`[repairToolCall] Input value:`, toolCall.input)
// Only attempt repair for invalid tool input (broken JSON from truncation)
if (
error instanceof InvalidToolInputError ||
error.name === "AI_InvalidToolInputError"
) {
try {
// Pre-process to fix common LLM JSON errors that jsonrepair can't handle
let inputToRepair = toolCall.input
if (typeof inputToRepair === "string") {
// Fix `:=` instead of `: ` (LLM sometimes generates this)
inputToRepair = inputToRepair.replace(/:=/g, ": ")
// Fix `= "` instead of `: "`
inputToRepair = inputToRepair.replace(/=\s*"/g, ': "')
}
// Use jsonrepair to fix truncated JSON
const repairedInput = jsonrepair(inputToRepair)
console.log(
`[repairToolCall] Repaired truncated JSON for tool: ${toolCall.toolName}`,
)
return { ...toolCall, input: repairedInput }
} catch (repairError) {
console.warn(
`[repairToolCall] Failed to repair JSON for tool: ${toolCall.toolName}`,
repairError,
)
// Return a placeholder input to avoid API errors in multi-step
// The tool will fail gracefully on client side
if (toolCall.toolName === "edit_diagram") {
return {
...toolCall,
input: {
operations: [],
_error: "JSON repair failed - no operations to apply",
},
}
}
if (toolCall.toolName === "display_diagram") {
return {
...toolCall,
input: {
xml: "",
_error: "JSON repair failed - empty diagram",
},
}
}
return null
}
}
// Don't attempt to repair other errors (like NoSuchToolError)
return null
},
messages: allMessages, messages: allMessages,
...(providerOptions && { providerOptions }), // This now includes all reasoning configs ...(providerOptions && { providerOptions }),
...(headers && { headers }), ...(headers && { headers }),
// Langfuse telemetry config (returns undefined if not configured) // Langfuse telemetry config (returns undefined if not configured)
...(getTelemetryConfig({ sessionId: validSessionId, userId }) && { ...(getTelemetryConfig({ sessionId: validSessionId, userId }) && {
@@ -571,56 +277,52 @@ ${userInputText}
userId, userId,
}), }),
}), }),
onFinish: ({ text, totalUsage }) => { onFinish: ({ text, usage, providerMetadata }) => {
// AI SDK 6 telemetry auto-reports token usage on its spans console.log(
setTraceOutput(text) "[Cache] Full providerMetadata:",
JSON.stringify(providerMetadata, null, 2),
// Record token usage for server-side quota tracking (if enabled) )
// Use totalUsage (cumulative across all steps) instead of usage (final step only) console.log("[Cache] Usage:", JSON.stringify(usage, null, 2))
// Include all 4 token types: input, output, cache read, cache write // Pass usage to Langfuse (Bedrock streaming doesn't auto-report tokens to telemetry)
if ( // AI SDK uses inputTokens/outputTokens, Langfuse expects promptTokens/completionTokens
isQuotaEnabled() && setTraceOutput(text, {
!hasOwnApiKey && promptTokens: usage?.inputTokens,
userId !== "anonymous" && completionTokens: usage?.outputTokens,
totalUsage })
) {
const totalTokens =
(totalUsage.inputTokens || 0) +
(totalUsage.outputTokens || 0) +
(totalUsage.cachedInputTokens || 0) +
(totalUsage.inputTokenDetails?.cacheWriteTokens || 0)
recordTokenUsage(userId, totalTokens)
}
}, },
tools: { tools: {
// Client-side tool that will be executed on the client // Client-side tool that will be executed on the client
display_diagram: { display_diagram: {
description: `Display a diagram on draw.io. Pass ONLY the mxCell elements - wrapper tags and root cells are added automatically. description: `Display a diagram on draw.io. Pass the XML content inside <root> tags.
VALIDATION RULES (XML will be rejected if violated): VALIDATION RULES (XML will be rejected if violated):
1. Generate ONLY mxCell elements - NO wrapper tags (<mxfile>, <mxGraphModel>, <root>) 1. All mxCell elements must be DIRECT children of <root> - never nested
2. Do NOT include root cells (id="0" or id="1") - they are added automatically 2. Every mxCell needs a unique id
3. All mxCell elements must be siblings - never nested 3. Every mxCell (except id="0") needs a valid parent attribute
4. Every mxCell needs a unique id (start from "2") 4. Edge source/target must reference existing cell IDs
5. Every mxCell needs a valid parent attribute (use "1" for top-level) 5. Escape special chars in values: &lt; &gt; &amp; &quot;
6. Escape special chars in values: &lt; &gt; &amp; &quot; 6. Always start with: <mxCell id="0"/><mxCell id="1" parent="0"/>
Example (generate ONLY this - no wrapper tags): Example with swimlanes and edges (note: all mxCells are siblings):
<mxCell id="lane1" value="Frontend" style="swimlane;" vertex="1" parent="1"> <root>
<mxGeometry x="40" y="40" width="200" height="200" as="geometry"/> <mxCell id="0"/>
</mxCell> <mxCell id="1" parent="0"/>
<mxCell id="step1" value="Step 1" style="rounded=1;" vertex="1" parent="lane1"> <mxCell id="lane1" value="Frontend" style="swimlane;" vertex="1" parent="1">
<mxGeometry x="20" y="60" width="160" height="40" as="geometry"/> <mxGeometry x="40" y="40" width="200" height="200" as="geometry"/>
</mxCell> </mxCell>
<mxCell id="lane2" value="Backend" style="swimlane;" vertex="1" parent="1"> <mxCell id="step1" value="Step 1" style="rounded=1;" vertex="1" parent="lane1">
<mxGeometry x="280" y="40" width="200" height="200" as="geometry"/> <mxGeometry x="20" y="60" width="160" height="40" as="geometry"/>
</mxCell> </mxCell>
<mxCell id="step2" value="Step 2" style="rounded=1;" vertex="1" parent="lane2"> <mxCell id="lane2" value="Backend" style="swimlane;" vertex="1" parent="1">
<mxGeometry x="20" y="60" width="160" height="40" as="geometry"/> <mxGeometry x="280" y="40" width="200" height="200" as="geometry"/>
</mxCell> </mxCell>
<mxCell id="edge1" style="edgeStyle=orthogonalEdgeStyle;endArrow=classic;" edge="1" parent="1" source="step1" target="step2"> <mxCell id="step2" value="Step 2" style="rounded=1;" vertex="1" parent="lane2">
<mxGeometry relative="1" as="geometry"/> <mxGeometry x="20" y="60" width="160" height="40" as="geometry"/>
</mxCell> </mxCell>
<mxCell id="edge1" style="edgeStyle=orthogonalEdgeStyle;endArrow=classic;" edge="1" parent="1" source="step1" target="step2">
<mxGeometry relative="1" as="geometry"/>
</mxCell>
</root>
Notes: Notes:
- For AWS diagrams, use **AWS 2025 icons**. - For AWS diagrams, use **AWS 2025 icons**.
@@ -633,212 +335,38 @@ Notes:
}), }),
}, },
edit_diagram: { edit_diagram: {
description: `Edit the current diagram by ID-based operations (update/add/delete cells). description: `Edit specific parts of the current diagram by replacing exact line matches. Use this tool to make targeted fixes without regenerating the entire XML.
CRITICAL: Copy-paste the EXACT search pattern from the "Current diagram XML" in system context. Do NOT reorder attributes or reformat - the attribute order in draw.io XML varies and you MUST match it exactly.
Operations: IMPORTANT: Keep edits concise:
- update: Replace an existing cell by its id. Provide cell_id and complete new_xml. - COPY the exact mxCell line from the current XML (attribute order matters!)
- add: Add a new cell. Provide cell_id (new unique id) and new_xml. - Only include the lines that are changing, plus 1-2 surrounding lines for context if needed
- delete: Remove a cell. Cascade is automatic: children AND edges (source/target) are auto-deleted. Only specify ONE cell_id. - Break large changes into multiple smaller edits
- Each search must contain complete lines (never truncate mid-line)
For update/add, new_xml must be a complete mxCell element including mxGeometry. - First match only - be specific enough to target the right element`,
⚠️ JSON ESCAPING: Every " inside new_xml MUST be escaped as \\". Example: id=\\"5\\" value=\\"Label\\"
Example - Add a rectangle:
{"operations": [{"operation": "add", "cell_id": "rect-1", "new_xml": "<mxCell id=\\"rect-1\\" value=\\"Hello\\" style=\\"rounded=0;\\" vertex=\\"1\\" parent=\\"1\\"><mxGeometry x=\\"100\\" y=\\"100\\" width=\\"120\\" height=\\"60\\" as=\\"geometry\\"/></mxCell>"}]}
Example - Delete container (children & edges auto-deleted):
{"operations": [{"operation": "delete", "cell_id": "2"}]}`,
inputSchema: z.object({ inputSchema: z.object({
operations: z edits: z
.array( .array(
z.object({ z.object({
operation: z search: z
.enum(["update", "add", "delete"])
.describe(
"Operation to perform: add, update, or delete",
),
cell_id: z
.string() .string()
.describe( .describe(
"The id of the mxCell. Must match the id attribute in new_xml.", "EXACT lines copied from current XML (preserve attribute order!)",
), ),
new_xml: z replace: z
.string() .string()
.optional() .describe("Replacement lines"),
.describe(
"Complete mxCell XML element (required for update/add)",
),
}), }),
) )
.describe("Array of operations to apply"),
}),
},
append_diagram: {
description: `Continue generating diagram XML when previous display_diagram output was truncated due to length limits.
WHEN TO USE: Only call this tool after display_diagram was truncated (you'll see an error message about truncation).
CRITICAL INSTRUCTIONS:
1. Do NOT include any wrapper tags - just continue the mxCell elements
2. Continue from EXACTLY where your previous output stopped
3. Complete the remaining mxCell elements
4. If still truncated, call append_diagram again with the next fragment
Example: If previous output ended with '<mxCell id="x" style="rounded=1', continue with ';" vertex="1">...' and complete the remaining elements.`,
inputSchema: z.object({
xml: z
.string()
.describe( .describe(
"Continuation XML fragment to append (NO wrapper tags)", "Array of search/replace pairs to apply sequentially",
), ),
}), }),
}, },
get_shape_library: {
description: `Get draw.io shape/icon library documentation with style syntax and shape names.
Available libraries:
- Cloud: aws4, azure2, gcp2, alibaba_cloud, openstack, salesforce
- Networking: cisco19, network, kubernetes, vvd, rack
- Business: bpmn, lean_mapping
- General: flowchart, basic, arrows2, infographic, sitemap
- UI/Mockups: android
- Enterprise: citrix, sap, mscae, atlassian
- Engineering: fluidpower, electrical, pid, cabinets, floorplan
- Icons: webicons
Call this tool to get shape names and usage syntax for a specific library.`,
inputSchema: z.object({
library: z
.string()
.describe(
"Library name (e.g., 'aws4', 'kubernetes', 'flowchart')",
),
}),
execute: async ({ library }) => {
// Sanitize input - prevent path traversal attacks
const sanitizedLibrary = library
.toLowerCase()
.replace(/[^a-z0-9_-]/g, "")
if (sanitizedLibrary !== library.toLowerCase()) {
return `Invalid library name "${library}". Use only letters, numbers, underscores, and hyphens.`
}
const baseDir = path.join(
process.cwd(),
"docs/shape-libraries",
)
const filePath = path.join(
baseDir,
`${sanitizedLibrary}.md`,
)
// Verify path stays within expected directory
const resolvedPath = path.resolve(filePath)
if (!resolvedPath.startsWith(path.resolve(baseDir))) {
return `Invalid library path.`
}
try {
const content = await fs.readFile(filePath, "utf-8")
return content
} catch (error) {
if (
(error as NodeJS.ErrnoException).code === "ENOENT"
) {
return `Library "${library}" not found. Available: aws4, azure2, gcp2, alibaba_cloud, cisco19, kubernetes, network, bpmn, flowchart, basic, arrows2, vvd, salesforce, citrix, sap, mscae, atlassian, fluidpower, electrical, pid, cabinets, floorplan, webicons, infographic, sitemap, android, lean_mapping, openstack, rack`
}
console.error(
`[get_shape_library] Error loading "${library}":`,
error,
)
return `Error loading library "${library}". Please try again.`
}
},
},
}, },
...(process.env.TEMPERATURE !== undefined && { temperature: 0,
temperature: parseFloat(process.env.TEMPERATURE),
}),
}) })
return result.toUIMessageStreamResponse({ return result.toUIMessageStreamResponse()
sendReasoning: true,
messageMetadata: ({ part }) => {
if (part.type === "finish") {
const usage = (part as any).totalUsage
// AI SDK 6 provides totalTokens directly
return {
totalTokens: usage?.totalTokens ?? 0,
finishReason: (part as any).finishReason,
}
}
return undefined
},
})
}
// Helper to categorize errors and return appropriate response
function handleError(error: unknown): Response {
console.error("Error in chat route:", error)
const isDev = process.env.NODE_ENV === "development"
// Check for specific AI SDK error types
if (APICallError.isInstance(error)) {
return Response.json(
{
error: error.message,
...(isDev && {
details: error.responseBody,
stack: error.stack,
}),
},
{ status: error.statusCode || 500 },
)
}
if (LoadAPIKeyError.isInstance(error)) {
return Response.json(
{
error: "Authentication failed. Please check your API key.",
...(isDev && {
stack: error.stack,
}),
},
{ status: 401 },
)
}
// Fallback for other errors with safety filter
const message =
error instanceof Error ? error.message : "An unexpected error occurred"
const status = (error as any)?.statusCode || (error as any)?.status || 500
// Prevent leaking API keys, tokens, or other sensitive data
const lowerMessage = message.toLowerCase()
const safeMessage =
lowerMessage.includes("key") ||
lowerMessage.includes("token") ||
lowerMessage.includes("sig") ||
lowerMessage.includes("signature") ||
lowerMessage.includes("secret") ||
lowerMessage.includes("password") ||
lowerMessage.includes("credential")
? "Authentication failed. Please check your credentials."
: message
return Response.json(
{
error: safeMessage,
...(isDev && {
details: message,
stack: error instanceof Error ? error.stack : undefined,
}),
},
{ status },
)
} }
// Wrap handler with error handling // Wrap handler with error handling
@@ -846,7 +374,11 @@ async function safeHandler(req: Request): Promise<Response> {
try { try {
return await handleChatRequest(req) return await handleChatRequest(req)
} catch (error) { } catch (error) {
return handleError(error) console.error("Error in chat route:", error)
return Response.json(
{ error: "Internal server error" },
{ status: 500 },
)
} }
} }

View File

@@ -81,15 +81,16 @@ Contains the actual diagram data.
## Root Cell Container: `<root>` ## 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 ```xml
<root> <root>
<mxCell id="0"/> <!-- Auto-added --> <mxCell id="0"/>
<mxCell id="1" parent="0"/> <!-- Auto-added --> <mxCell id="1" parent="0"/>
<!-- Your mxCell elements go here (start from id="2") -->
<!-- Other cells go here -->
</root> </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 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 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 1. Start with the basic structure (`mxfile`, `diagram`, `mxGraphModel`, `root`)
2. Start IDs from "2" (id="0" and id="1" are reserved for root cells) 2. Always include the two special cells (id = "0" and id = "1")
3. Assign unique and sequential IDs to all cells 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 5. Use `mxGeometry` elements to position shapes
6. For connectors, specify `source` and `target` attributes 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 ## Common Patterns

View File

@@ -1,10 +1,12 @@
import { NextResponse } from "next/server" import { NextResponse } from "next/server"
export async function GET() { export async function GET() {
const accessCodes =
process.env.ACCESS_CODE_LIST?.split(",")
.map((code) => code.trim())
.filter(Boolean) || []
return NextResponse.json({ return NextResponse.json({
accessCodeRequired: !!process.env.ACCESS_CODE_LIST, accessCodeRequired: accessCodes.length > 0,
dailyRequestLimit: Number(process.env.DAILY_REQUEST_LIMIT) || 0,
dailyTokenLimit: Number(process.env.DAILY_TOKEN_LIMIT) || 0,
tpmLimit: Number(process.env.TPM_LIMIT) || 0,
}) })
} }

View File

@@ -1,7 +1,6 @@
import { randomUUID } from "crypto" import { randomUUID } from "crypto"
import { z } from "zod" import { z } from "zod"
import { getLangfuseClient } from "@/lib/langfuse" import { getLangfuseClient } from "@/lib/langfuse"
import { getUserIdFromRequest } from "@/lib/user-id"
const feedbackSchema = z.object({ const feedbackSchema = z.object({
messageId: z.string().min(1).max(200), messageId: z.string().min(1).max(200),
@@ -28,13 +27,9 @@ export async function POST(req: Request) {
const { messageId, feedback, sessionId } = data const { messageId, feedback, sessionId } = data
// Skip logging if no sessionId - prevents attaching to wrong user's trace // Get user IP for tracking
if (!sessionId) { const forwardedFor = req.headers.get("x-forwarded-for")
return Response.json({ success: true, logged: false }) const userId = forwardedFor?.split(",")[0]?.trim() || "anonymous"
}
// Get user ID for tracking
const userId = getUserIdFromRequest(req)
try { try {
// Find the most recent chat trace for this session to attach the score to // Find the most recent chat trace for this session to attach the score to

View File

@@ -27,11 +27,6 @@ export async function POST(req: Request) {
const { filename, format, sessionId } = data const { filename, format, sessionId } = data
// Skip logging if no sessionId - prevents attaching to wrong user's trace
if (!sessionId) {
return Response.json({ success: true, logged: false })
}
try { try {
const timestamp = new Date().toISOString() const timestamp = new Date().toISOString()

View File

@@ -1,317 +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" && provider !== "edgeone" && !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
}
case "edgeone": {
// EdgeOne uses OpenAI-compatible API via Edge Functions
// Need to pass cookies for EdgeOne Pages authentication
const cookieHeader = req.headers.get("cookie") || ""
const edgeone = createOpenAI({
apiKey: "edgeone", // EdgeOne doesn't require API key
baseURL: baseUrl || "/api/edgeai",
headers: {
cookie: cookieHeader,
},
})
model = edgeone.chat(modelId)
break
}
case "sglang": {
// SGLang is OpenAI-compatible
const sglang = createOpenAI({
apiKey: apiKey || "not-needed",
baseURL: baseUrl || "http://127.0.0.1:8000/v1",
})
model = sglang.chat(modelId)
break
}
case "doubao": {
// ByteDance Doubao uses DeepSeek-compatible API
const doubao = createDeepSeek({
apiKey,
baseURL:
baseUrl || "https://ark.cn-beijing.volces.com/api/v3",
})
model = doubao(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

@@ -144,68 +144,6 @@
--sidebar-ring: oklch(0.7 0.16 265); --sidebar-ring: oklch(0.7 0.16 265);
} }
/* ============================================
REFINED MINIMAL DESIGN SYSTEM
============================================ */
:root {
/* Surface layers for depth */
--surface-0: oklch(1 0 0);
--surface-1: oklch(0.985 0.002 240);
--surface-2: oklch(0.97 0.004 240);
--surface-elevated: oklch(1 0 0);
/* Subtle borders */
--border-subtle: oklch(0.94 0.008 260);
--border-default: oklch(0.91 0.012 260);
/* Interactive states */
--interactive-hover: oklch(0.96 0.015 260);
--interactive-active: oklch(0.93 0.02 265);
/* Success state */
--success: oklch(0.65 0.18 145);
--success-muted: oklch(0.95 0.03 145);
/* Animation timing */
--duration-fast: 120ms;
--duration-normal: 200ms;
--duration-slow: 300ms;
--ease-out: cubic-bezier(0.16, 1, 0.3, 1);
--ease-in-out: cubic-bezier(0.4, 0, 0.2, 1);
--ease-spring: cubic-bezier(0.34, 1.56, 0.64, 1);
}
.dark {
--surface-0: oklch(0.15 0.015 260);
--surface-1: oklch(0.18 0.015 260);
--surface-2: oklch(0.22 0.015 260);
--surface-elevated: oklch(0.25 0.015 260);
--border-subtle: oklch(0.25 0.012 260);
--border-default: oklch(0.3 0.015 260);
--interactive-hover: oklch(0.25 0.02 265);
--interactive-active: oklch(0.3 0.025 270);
--success: oklch(0.7 0.16 145);
--success-muted: oklch(0.25 0.04 145);
}
/* Expose surface colors to Tailwind */
@theme inline {
--color-surface-0: var(--surface-0);
--color-surface-1: var(--surface-1);
--color-surface-2: var(--surface-2);
--color-surface-elevated: var(--surface-elevated);
--color-border-subtle: var(--border-subtle);
--color-border-default: var(--border-default);
--color-interactive-hover: var(--interactive-hover);
--color-interactive-active: var(--interactive-active);
--color-success: var(--success);
--color-success-muted: var(--success-muted);
}
@layer base { @layer base {
* { * {
@apply border-border outline-ring/50; @apply border-border outline-ring/50;
@@ -319,83 +257,3 @@
-webkit-text-fill-color: transparent; -webkit-text-fill-color: transparent;
background-clip: text; background-clip: text;
} }
/* ============================================
REFINED DIALOG STYLES
============================================ */
/* Refined dialog shadow - multi-layer soft shadow */
.shadow-dialog {
box-shadow:
0 0 0 1px oklch(0 0 0 / 0.03),
0 2px 4px oklch(0 0 0 / 0.02),
0 12px 24px oklch(0 0 0 / 0.06),
0 24px 48px oklch(0 0 0 / 0.04);
}
.dark .shadow-dialog {
box-shadow:
0 0 0 1px oklch(1 0 0 / 0.05),
0 2px 4px oklch(0 0 0 / 0.2),
0 12px 24px oklch(0 0 0 / 0.3),
0 24px 48px oklch(0 0 0 / 0.2);
}
/* Dialog animations */
@keyframes dialog-in {
from {
opacity: 0;
transform: translate(-50%, -48%) scale(0.96);
}
to {
opacity: 1;
transform: translate(-50%, -50%) scale(1);
}
}
@keyframes dialog-out {
from {
opacity: 1;
transform: translate(-50%, -50%) scale(1);
}
to {
opacity: 0;
transform: translate(-50%, -48%) scale(0.96);
}
}
.animate-dialog-in {
animation: dialog-in var(--duration-normal) var(--ease-out) forwards;
}
.animate-dialog-out {
animation: dialog-out 150ms var(--ease-out) forwards;
}
/* Check pop animation for validation success */
@keyframes check-pop {
0% {
transform: scale(0.8);
opacity: 0;
}
50% {
transform: scale(1.1);
}
100% {
transform: scale(1);
opacity: 1;
}
}
.animate-check-pop {
animation: check-pop 0.25s var(--ease-spring) forwards;
}
/* Reduced motion support */
@media (prefers-reduced-motion: reduce) {
.animate-dialog-in,
.animate-dialog-out,
.animate-check-pop {
animation: none;
}
}

127
app/layout.tsx Normal file
View File

@@ -0,0 +1,127 @@
import { GoogleAnalytics } from "@next/third-parties/google"
import { Analytics } from "@vercel/analytics/react"
import type { Metadata, Viewport } from "next"
import { JetBrains_Mono, Plus_Jakarta_Sans } from "next/font/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",
},
],
}
}

147
app/page.tsx Normal file
View File

@@ -0,0 +1,147 @@
"use client"
import { 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"
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 [closeProtection, setCloseProtection] = useState(() => {
if (typeof window !== "undefined") {
const saved = localStorage.getItem(STORAGE_CLOSE_PROTECTION_KEY)
return saved !== "false" // Default to true
}
return true
})
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(() => {
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
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}
onCloseProtectionChange={setCloseProtection}
/>
</div>
</ResizablePanel>
</ResizablePanelGroup>
</div>
)
}

View File

@@ -1,170 +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 = ({
className,
...props
}: ModelSelectorListProps) => (
<div className="relative">
<CommandList
className={cn(
// Hide scrollbar on all platforms
"[&::-webkit-scrollbar]:hidden [-ms-overflow-style:none] [scrollbar-width:none]",
className,
)}
{...props}
/>
{/* Bottom shadow indicator for scrollable content */}
<div className="pointer-events-none absolute bottom-0 left-0 right-0 h-12 bg-gradient-to-t from-muted/80 via-muted/40 to-transparent" />
</div>
)
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

@@ -1,63 +1,28 @@
"use client" "use client"
import { import { Cloud, GitBranch, Palette, Zap } from "lucide-react"
Cloud,
FileText,
GitBranch,
Palette,
Terminal,
Zap,
} from "lucide-react"
import { useDictionary } from "@/hooks/use-dictionary"
import { getAssetUrl } from "@/lib/base-path"
interface ExampleCardProps { interface ExampleCardProps {
icon: React.ReactNode icon: React.ReactNode
title: string title: string
description: string description: string
onClick: () => void onClick: () => void
isNew?: boolean
} }
function ExampleCard({ function ExampleCard({ icon, title, description, onClick }: ExampleCardProps) {
icon,
title,
description,
onClick,
isNew,
}: ExampleCardProps) {
const dict = useDictionary()
return ( return (
<button <button
onClick={onClick} 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 ${ 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"
isNew
? "border-primary/40 ring-1 ring-primary/20"
: "border-border/60"
}`}
> >
<div className="flex items-start gap-3"> <div className="flex items-start gap-3">
<div <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">
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"
}`}
>
{icon} {icon}
</div> </div>
<div className="min-w-0"> <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">
<h3 className="text-sm font-medium text-foreground group-hover:text-primary transition-colors"> {title}
{title} </h3>
</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>
<p className="text-xs text-muted-foreground mt-0.5 line-clamp-2"> <p className="text-xs text-muted-foreground mt-0.5 line-clamp-2">
{description} {description}
</p> </p>
@@ -74,18 +39,16 @@ export default function ExamplePanel({
setInput: (input: string) => void setInput: (input: string) => void
setFiles: (files: File[]) => void setFiles: (files: File[]) => void
}) { }) {
const dict = useDictionary()
const handleReplicateFlowchart = async () => { const handleReplicateFlowchart = async () => {
setInput("Replicate this flowchart.") setInput("Replicate this flowchart.")
try { try {
const response = await fetch(getAssetUrl("/example.png")) const response = await fetch("/example.png")
const blob = await response.blob() const blob = await response.blob()
const file = new File([blob], "example.png", { type: "image/png" }) const file = new File([blob], "example.png", { type: "image/png" })
setFiles([file]) setFiles([file])
} catch (error) { } catch (error) {
console.error(dict.errors.failedToLoadExample, error) console.error("Error loading example image:", error)
} }
} }
@@ -93,90 +56,41 @@ export default function ExamplePanel({
setInput("Replicate this in aws style") setInput("Replicate this in aws style")
try { try {
const response = await fetch(getAssetUrl("/architecture.png")) const response = await fetch("/architecture.png")
const blob = await response.blob() const blob = await response.blob()
const file = new File([blob], "architecture.png", { const file = new File([blob], "architecture.png", {
type: "image/png", type: "image/png",
}) })
setFiles([file]) setFiles([file])
} catch (error) { } 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 ( return (
<div className="py-6 px-2 animate-fade-in"> <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 */} {/* Welcome section */}
<div className="text-center mb-6"> <div className="text-center mb-6">
<h2 className="text-lg font-semibold text-foreground mb-2"> <h2 className="text-lg font-semibold text-foreground mb-2">
{dict.examples.title} Create diagrams with AI
</h2> </h2>
<p className="text-sm text-muted-foreground max-w-xs mx-auto"> <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> </p>
</div> </div>
{/* Examples grid */} {/* Examples grid */}
<div className="space-y-3"> <div className="space-y-3">
<p className="text-xs font-medium text-muted-foreground uppercase tracking-wider px-1"> <p className="text-xs font-medium text-muted-foreground uppercase tracking-wider px-1">
{dict.examples.quickExamples} Quick Examples
</p> </p>
<div className="grid gap-2"> <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 <ExampleCard
icon={<Zap className="w-4 h-4 text-primary" />} icon={<Zap className="w-4 h-4 text-primary" />}
title={dict.examples.animatedDiagram} title="Animated Diagram"
description={dict.examples.animatedDescription} description="Draw a transformer architecture with animated connectors"
onClick={() => { onClick={() => {
setInput( setInput(
"Give me a **animated connector** diagram of transformer's architecture", "Give me a **animated connector** diagram of transformer's architecture",
@@ -187,22 +101,22 @@ export default function ExamplePanel({
<ExampleCard <ExampleCard
icon={<Cloud className="w-4 h-4 text-primary" />} icon={<Cloud className="w-4 h-4 text-primary" />}
title={dict.examples.awsArchitecture} title="AWS Architecture"
description={dict.examples.awsDescription} description="Create a cloud architecture diagram with AWS icons"
onClick={handleReplicateArchitecture} onClick={handleReplicateArchitecture}
/> />
<ExampleCard <ExampleCard
icon={<GitBranch className="w-4 h-4 text-primary" />} icon={<GitBranch className="w-4 h-4 text-primary" />}
title={dict.examples.replicateFlowchart} title="Replicate Flowchart"
description={dict.examples.replicateDescription} description="Upload and replicate an existing flowchart"
onClick={handleReplicateFlowchart} onClick={handleReplicateFlowchart}
/> />
<ExampleCard <ExampleCard
icon={<Palette className="w-4 h-4 text-primary" />} icon={<Palette className="w-4 h-4 text-primary" />}
title={dict.examples.creativeDrawing} title="Creative Drawing"
description={dict.examples.creativeDescription} description="Draw something fun and creative"
onClick={() => { onClick={() => {
setInput("Draw a cat for me") setInput("Draw a cat for me")
setFiles([]) setFiles([])
@@ -211,7 +125,7 @@ export default function ExamplePanel({
</div> </div>
<p className="text-[11px] text-muted-foreground/60 text-center mt-4"> <p className="text-[11px] text-muted-foreground/60 text-center mt-4">
{dict.examples.cachedNote} Examples are cached for instant response
</p> </p>
</div> </div>
</div> </div>

View File

@@ -4,7 +4,9 @@ import {
Download, Download,
History, History,
Image as ImageIcon, Image as ImageIcon,
LayoutGrid,
Loader2, Loader2,
PenTool,
Send, Send,
Trash2, Trash2,
} from "lucide-react" } from "lucide-react"
@@ -14,26 +16,24 @@ import { toast } from "sonner"
import { ButtonWithTooltip } from "@/components/button-with-tooltip" import { ButtonWithTooltip } from "@/components/button-with-tooltip"
import { ErrorToast } from "@/components/error-toast" import { ErrorToast } from "@/components/error-toast"
import { HistoryDialog } from "@/components/history-dialog" import { HistoryDialog } from "@/components/history-dialog"
import { ModelSelector } from "@/components/model-selector"
import { ResetWarningModal } from "@/components/reset-warning-modal" import { ResetWarningModal } from "@/components/reset-warning-modal"
import { SaveDialog } from "@/components/save-dialog" import { SaveDialog } from "@/components/save-dialog"
import { Button } from "@/components/ui/button" import { Button } from "@/components/ui/button"
import {
Dialog,
DialogContent,
DialogDescription,
DialogFooter,
DialogHeader,
DialogTitle,
} from "@/components/ui/dialog"
import { Textarea } from "@/components/ui/textarea" import { Textarea } from "@/components/ui/textarea"
import { useDiagram } from "@/contexts/diagram-context" 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" import { FilePreviewList } from "./file-preview-list"
const MAX_IMAGE_SIZE = 2 * 1024 * 1024 // 2MB const MAX_FILE_SIZE = 2 * 1024 * 1024 // 2MB
const MAX_FILES = 5 const MAX_FILES = 5
function isValidFileType(file: File): boolean {
return file.type.startsWith("image/") || isPdfFile(file) || isTextFile(file)
}
function formatFileSize(bytes: number): string { function formatFileSize(bytes: number): string {
const mb = bytes / 1024 / 1024 const mb = bytes / 1024 / 1024
if (mb < 0.01) return `${(bytes / 1024).toFixed(0)}KB` if (mb < 0.01) return `${(bytes / 1024).toFixed(0)}KB`
@@ -57,7 +57,6 @@ interface ValidationResult {
function validateFiles( function validateFiles(
newFiles: File[], newFiles: File[],
existingCount: number, existingCount: number,
dict: any,
): ValidationResult { ): ValidationResult {
const errors: string[] = [] const errors: string[] = []
const validFiles: File[] = [] const validFiles: File[] = []
@@ -65,35 +64,18 @@ function validateFiles(
const availableSlots = MAX_FILES - existingCount const availableSlots = MAX_FILES - existingCount
if (availableSlots <= 0) { if (availableSlots <= 0) {
errors.push(formatMessage(dict.errors.maxFiles, { max: MAX_FILES })) errors.push(`Maximum ${MAX_FILES} files allowed`)
return { validFiles, errors } return { validFiles, errors }
} }
for (const file of newFiles) { for (const file of newFiles) {
if (validFiles.length >= availableSlots) { if (validFiles.length >= availableSlots) {
errors.push( errors.push(`Only ${availableSlots} more file(s) allowed`)
formatMessage(dict.errors.onlyMoreAllowed, {
slots: availableSlots,
}),
)
break break
} }
if (!isValidFileType(file)) { if (file.size > MAX_FILE_SIZE) {
errors.push( errors.push(
formatMessage(dict.errors.unsupportedType, { name: file.name }), `"${file.name}" is ${formatFileSize(file.size)} (exceeds 2MB)`,
)
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,
}),
) )
} else { } else {
validFiles.push(file) validFiles.push(file)
@@ -103,7 +85,7 @@ function validateFiles(
return { validFiles, errors } return { validFiles, errors }
} }
function showValidationErrors(errors: string[], dict: any) { function showValidationErrors(errors: string[]) {
if (errors.length === 0) return if (errors.length === 0) return
if (errors.length === 1) { if (errors.length === 1) {
@@ -114,20 +96,14 @@ function showValidationErrors(errors: string[], dict: any) {
showErrorToast( showErrorToast(
<div className="flex flex-col gap-1"> <div className="flex flex-col gap-1">
<span className="font-medium"> <span className="font-medium">
{formatMessage(dict.errors.filesRejected, { {errors.length} files rejected:
count: errors.length,
})}
</span> </span>
<ul className="text-muted-foreground text-xs list-disc list-inside"> <ul className="text-muted-foreground text-xs list-disc list-inside">
{errors.slice(0, 3).map((err) => ( {errors.slice(0, 3).map((err) => (
<li key={err}>{err}</li> <li key={err}>{err}</li>
))} ))}
{errors.length > 3 && ( {errors.length > 3 && (
<li> <li>...and {errors.length - 3} more</li>
{formatMessage(dict.errors.andMore, {
count: errors.length - 3,
})}
</li>
)} )}
</ul> </ul>
</div>, </div>,
@@ -143,19 +119,12 @@ interface ChatInputProps {
onClearChat: () => void onClearChat: () => void
files?: File[] files?: File[]
onFileChange?: (files: File[]) => void onFileChange?: (files: File[]) => void
pdfData?: Map< showHistory?: boolean
File, onToggleHistory?: (show: boolean) => void
{ text: string; charCount: number; isExtracting: boolean }
>
sessionId?: string sessionId?: string
error?: Error | null error?: Error | null
// Model selector props drawioUi?: "min" | "sketch"
models?: FlattenedModel[] onToggleDrawioUi?: () => void
selectedModelId?: string
onModelSelect?: (modelId: string | undefined) => void
showUnvalidatedModels?: boolean
onConfigureModels?: () => void
} }
export function ChatInput({ export function ChatInput({
@@ -166,24 +135,21 @@ export function ChatInput({
onClearChat, onClearChat,
files = [], files = [],
onFileChange = () => {}, onFileChange = () => {},
pdfData = new Map(), showHistory = false,
onToggleHistory = () => {},
sessionId, sessionId,
error = null, error = null,
models = [], drawioUi = "min",
selectedModelId, onToggleDrawioUi = () => {},
onModelSelect = () => {},
showUnvalidatedModels = false,
onConfigureModels = () => {},
}: ChatInputProps) { }: ChatInputProps) {
const dict = useDictionary()
const { diagramHistory, saveDiagramToFile } = useDiagram() const { diagramHistory, saveDiagramToFile } = useDiagram()
const textareaRef = useRef<HTMLTextAreaElement>(null) const textareaRef = useRef<HTMLTextAreaElement>(null)
const fileInputRef = useRef<HTMLInputElement>(null) const fileInputRef = useRef<HTMLInputElement>(null)
const [isDragging, setIsDragging] = useState(false) const [isDragging, setIsDragging] = useState(false)
const [showClearDialog, setShowClearDialog] = useState(false) const [showClearDialog, setShowClearDialog] = useState(false)
const [showHistory, setShowHistory] = useState(false)
const [showSaveDialog, setShowSaveDialog] = 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") // Allow retry when there's an error (even if status is still "streaming" or "submitted")
const isDisabled = const isDisabled =
(status === "streaming" || status === "submitted") && !error (status === "streaming" || status === "submitted") && !error
@@ -195,6 +161,7 @@ export function ChatInput({
textarea.style.height = `${Math.min(textarea.scrollHeight, 200)}px` textarea.style.height = `${Math.min(textarea.scrollHeight, 200)}px`
} }
}, []) }, [])
// Handle programmatic input changes (e.g., setInput("") after form submission) // Handle programmatic input changes (e.g., setInput("") after form submission)
useEffect(() => { useEffect(() => {
adjustTextareaHeight() adjustTextareaHeight()
@@ -241,9 +208,8 @@ export function ChatInput({
const { validFiles, errors } = validateFiles( const { validFiles, errors } = validateFiles(
imageFiles, imageFiles,
files.length, files.length,
dict,
) )
showValidationErrors(errors, dict) showValidationErrors(errors)
if (validFiles.length > 0) { if (validFiles.length > 0) {
onFileChange([...files, ...validFiles]) onFileChange([...files, ...validFiles])
} }
@@ -252,16 +218,12 @@ export function ChatInput({
const handleFileChange = (e: React.ChangeEvent<HTMLInputElement>) => { const handleFileChange = (e: React.ChangeEvent<HTMLInputElement>) => {
const newFiles = Array.from(e.target.files || []) const newFiles = Array.from(e.target.files || [])
const { validFiles, errors } = validateFiles( const { validFiles, errors } = validateFiles(newFiles, files.length)
newFiles, showValidationErrors(errors)
files.length,
dict,
)
showValidationErrors(errors, dict)
if (validFiles.length > 0) { if (validFiles.length > 0) {
onFileChange([...files, ...validFiles]) onFileChange([...files, ...validFiles])
} }
// Reset input so same file can be selected again
if (fileInputRef.current) { if (fileInputRef.current) {
fileInputRef.current.value = "" fileInputRef.current.value = ""
} }
@@ -298,16 +260,12 @@ export function ChatInput({
if (isDisabled) return if (isDisabled) return
const droppedFiles = e.dataTransfer.files const droppedFiles = e.dataTransfer.files
const supportedFiles = Array.from(droppedFiles).filter((file) => const imageFiles = Array.from(droppedFiles).filter((file) =>
isValidFileType(file), file.type.startsWith("image/"),
) )
const { validFiles, errors } = validateFiles( const { validFiles, errors } = validateFiles(imageFiles, files.length)
supportedFiles, showValidationErrors(errors)
files.length,
dict,
)
showValidationErrors(errors, dict)
if (validFiles.length > 0) { if (validFiles.length > 0) {
onFileChange([...files, ...validFiles]) onFileChange([...files, ...validFiles])
} }
@@ -336,10 +294,11 @@ export function ChatInput({
<FilePreviewList <FilePreviewList
files={files} files={files}
onRemoveFile={handleRemoveFile} onRemoveFile={handleRemoveFile}
pdfData={pdfData}
/> />
</div> </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"> <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 <Textarea
ref={textareaRef} ref={textareaRef}
@@ -347,20 +306,22 @@ export function ChatInput({
onChange={handleChange} onChange={handleChange}
onKeyDown={handleKeyDown} onKeyDown={handleKeyDown}
onPaste={handlePaste} onPaste={handlePaste}
placeholder={dict.chat.placeholder} placeholder="Describe your diagram or paste an image..."
disabled={isDisabled} disabled={isDisabled}
aria-label="Chat input" 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" 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 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 <ButtonWithTooltip
type="button" type="button"
variant="ghost" variant="ghost"
size="sm" size="sm"
onClick={() => setShowClearDialog(true)} 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" className="h-8 w-8 p-0 text-muted-foreground hover:text-destructive hover:bg-destructive/10"
> >
<Trash2 className="h-4 w-4" /> <Trash2 className="h-4 w-4" />
@@ -371,74 +332,135 @@ export function ChatInput({
onOpenChange={setShowClearDialog} onOpenChange={setShowClearDialog}
onClear={handleClear} onClear={handleClear}
/> />
<HistoryDialog
showHistory={showHistory}
onToggleHistory={onToggleHistory}
/>
<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)
}
>
Cancel
</Button>
<Button
variant="destructive"
onClick={() => {
onClearChat()
onToggleDrawioUi()
setShowThemeWarning(false)
}}
>
Switch Theme
</Button>
</DialogFooter>
</DialogContent>
</Dialog>
</div> </div>
<div className="flex items-center gap-1 overflow-hidden justify-end"> {/* Right actions */}
<div className="flex items-center gap-1 overflow-x-hidden"> <div className="flex items-center gap-1">
<ButtonWithTooltip <ButtonWithTooltip
type="button" type="button"
variant="ghost" variant="ghost"
size="sm" size="sm"
onClick={() => setShowHistory(true)} onClick={() => onToggleHistory(true)}
disabled={ disabled={isDisabled || diagramHistory.length === 0}
isDisabled || diagramHistory.length === 0 tooltipContent="Diagram history"
} className="h-8 w-8 p-0 text-muted-foreground hover:text-foreground"
tooltipContent={dict.chat.diagramHistory} >
className="h-8 w-8 p-0 text-muted-foreground hover:text-foreground" <History className="h-4 w-4" />
> </ButtonWithTooltip>
<History className="h-4 w-4" />
</ButtonWithTooltip>
<ButtonWithTooltip <ButtonWithTooltip
type="button" type="button"
variant="ghost" variant="ghost"
size="sm" size="sm"
onClick={() => setShowSaveDialog(true)} onClick={() => setShowSaveDialog(true)}
disabled={isDisabled}
tooltipContent={dict.chat.saveDiagram}
className="h-8 w-8 p-0 text-muted-foreground hover:text-foreground"
>
<Download className="h-4 w-4" />
</ButtonWithTooltip>
<ButtonWithTooltip
type="button"
variant="ghost"
size="sm"
onClick={triggerFileInput}
disabled={isDisabled}
tooltipContent={dict.chat.uploadFile}
className="h-8 w-8 p-0 text-muted-foreground hover:text-foreground"
>
<ImageIcon className="h-4 w-4" />
</ButtonWithTooltip>
<input
type="file"
ref={fileInputRef}
className="hidden"
onChange={handleFileChange}
accept="image/*,.pdf,application/pdf,text/*,.md,.markdown,.json,.csv,.xml,.yaml,.yml,.toml"
multiple
disabled={isDisabled}
/>
</div>
<ModelSelector
models={models}
selectedModelId={selectedModelId}
onSelect={onModelSelect}
onConfigure={onConfigureModels}
disabled={isDisabled} disabled={isDisabled}
showUnvalidatedModels={showUnvalidatedModels} tooltipContent="Save diagram"
className="h-8 w-8 p-0 text-muted-foreground hover:text-foreground"
>
<Download className="h-4 w-4" />
</ButtonWithTooltip>
<SaveDialog
open={showSaveDialog}
onOpenChange={setShowSaveDialog}
onSave={(filename, format) =>
saveDiagramToFile(filename, format, sessionId)
}
defaultFilename={`diagram-${new Date()
.toISOString()
.slice(0, 10)}`}
/> />
<ButtonWithTooltip
type="button"
variant="ghost"
size="sm"
onClick={triggerFileInput}
disabled={isDisabled}
tooltipContent="Upload image"
className="h-8 w-8 p-0 text-muted-foreground hover:text-foreground"
>
<ImageIcon className="h-4 w-4" />
</ButtonWithTooltip>
<input
type="file"
ref={fileInputRef}
className="hidden"
onChange={handleFileChange}
accept="image/*"
multiple
disabled={isDisabled}
/>
<div className="w-px h-5 bg-border mx-1" /> <div className="w-px h-5 bg-border mx-1" />
<Button <Button
type="submit" type="submit"
disabled={isDisabled || !input.trim()} disabled={isDisabled || !input.trim()}
size="sm" size="sm"
className="h-8 px-4 rounded-xl font-medium shadow-sm" className="h-8 px-4 rounded-xl font-medium shadow-sm"
aria-label={ aria-label={
isDisabled ? dict.chat.sending : dict.chat.send isDisabled ? "Sending..." : "Send message"
} }
> >
{isDisabled ? ( {isDisabled ? (
@@ -446,27 +468,13 @@ export function ChatInput({
) : ( ) : (
<> <>
<Send className="h-4 w-4 mr-1.5" /> <Send className="h-4 w-4 mr-1.5" />
{dict.chat.send} Send
</> </>
)} )}
</Button> </Button>
</div> </div>
</div> </div>
</div> </div>
<HistoryDialog
showHistory={showHistory}
onToggleHistory={setShowHistory}
/>
<SaveDialog
open={showSaveDialog}
onOpenChange={setShowSaveDialog}
onSave={(filename, format) =>
saveDiagramToFile(filename, format, sessionId)
}
defaultFilename={`diagram-${new Date()
.toISOString()
.slice(0, 10)}`}
/>
</form> </form>
) )
} }

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

View File

@@ -1,363 +0,0 @@
"use client"
import { useEffect, useRef, useState } from "react"
import { useDictionary } from "@/hooks/use-dictionary"
import { wrapWithMxFile } from "@/lib/utils"
// Dev XML presets for streaming simulator
const DEV_XML_PRESETS: Record<string, string> = {
"Simple Box": `<mxCell id="2" value="Hello World" style="rounded=1;whiteSpace=wrap;html=1;fillColor=#dae8fc;strokeColor=#6c8ebf;" vertex="1" parent="1">
<mxGeometry x="120" y="100" width="120" height="60" as="geometry"/>
</mxCell>`,
"Two Boxes with Arrow": `<mxCell id="2" value="Start" style="rounded=1;whiteSpace=wrap;html=1;fillColor=#d5e8d4;strokeColor=#82b366;" vertex="1" parent="1">
<mxGeometry x="100" y="100" width="100" height="50" as="geometry"/>
</mxCell>
<mxCell id="3" value="End" style="rounded=1;whiteSpace=wrap;html=1;fillColor=#f8cecc;strokeColor=#b85450;" vertex="1" parent="1">
<mxGeometry x="300" y="100" width="100" height="50" as="geometry"/>
</mxCell>
<mxCell id="4" value="" style="endArrow=classic;html=1;" edge="1" parent="1" source="2" target="3">
<mxGeometry relative="1" as="geometry"/>
</mxCell>`,
Flowchart: `<mxCell id="2" value="Start" style="ellipse;whiteSpace=wrap;html=1;fillColor=#d5e8d4;strokeColor=#82b366;" vertex="1" parent="1">
<mxGeometry x="160" y="40" width="80" height="40" as="geometry"/>
</mxCell>
<mxCell id="3" value="Process A" style="rounded=0;whiteSpace=wrap;html=1;fillColor=#dae8fc;strokeColor=#6c8ebf;" vertex="1" parent="1">
<mxGeometry x="140" y="120" width="120" height="60" as="geometry"/>
</mxCell>
<mxCell id="4" value="Decision" style="rhombus;whiteSpace=wrap;html=1;fillColor=#fff2cc;strokeColor=#d6b656;" vertex="1" parent="1">
<mxGeometry x="150" y="220" width="100" height="80" as="geometry"/>
</mxCell>
<mxCell id="5" value="Process B" style="rounded=0;whiteSpace=wrap;html=1;fillColor=#dae8fc;strokeColor=#6c8ebf;" vertex="1" parent="1">
<mxGeometry x="300" y="230" width="120" height="60" as="geometry"/>
</mxCell>
<mxCell id="6" value="End" style="ellipse;whiteSpace=wrap;html=1;fillColor=#f8cecc;strokeColor=#b85450;" vertex="1" parent="1">
<mxGeometry x="160" y="340" width="80" height="40" as="geometry"/>
</mxCell>
<mxCell id="7" style="endArrow=classic;html=1;" edge="1" parent="1" source="2" target="3">
<mxGeometry relative="1" as="geometry"/>
</mxCell>
<mxCell id="8" style="endArrow=classic;html=1;" edge="1" parent="1" source="3" target="4">
<mxGeometry relative="1" as="geometry"/>
</mxCell>
<mxCell id="9" value="Yes" style="endArrow=classic;html=1;" edge="1" parent="1" source="4" target="6">
<mxGeometry relative="1" as="geometry"/>
</mxCell>
<mxCell id="10" value="No" style="endArrow=classic;html=1;exitX=1;exitY=0.5;exitDx=0;exitDy=0;" edge="1" parent="1" source="4" target="5">
<mxGeometry relative="1" as="geometry"/>
</mxCell>`,
"Truncated (Error Test)": `<mxCell id="2" value="This cell is truncated" style="rounded=1;whiteSpace=wrap;html=1;fillColor=#dae8fc;strokeColor=#6c8ebf;" vertex="1" parent="1">
<mxGeometry x="120" y="100" width="120" height="60" as="geometry"/>
</mxCell>
<mxCell id="3" value="Incomplete" style="rounded=1;whiteSpace=wrap;html=1;fillColor=#f8cecc;strokeColor`,
"HTML Escape + Cell Truncate": `<mxCell id="2" value="<b>Chain-of-Thought Prompting</b><br/><font size='12'>Eliciting Reasoning in Large Language Models</font>" style="rounded=0;whiteSpace=wrap;html=1;fillColor=#dae8fc;strokeColor=#6c8ebf;fontSize=16;fontStyle=1;" vertex="1" parent="1">
<mxGeometry x="40" y="40" width="720" height="60" as="geometry"/>
</mxCell>
<mxCell id="3" value="<b>Problem: LLM Reasoning Limitations</b><br/>• Scaling parameters alone insufficient for logical tasks<br/>• Arithmetic, commonsense, symbolic reasoning challenges<br/>• Standard prompting fails on multi-step problems" style="rounded=1;whiteSpace=wrap;html=1;fillColor=#ffe6cc;strokeColor=#d79b00;" vertex="1" parent="1">
<mxGeometry x="40" y="120" width="340" height="120" as="geometry"/>
</mxCell>
<mxCell id="4" value="<b>Traditional Approaches</b><br/>1. <b>Finetuning:</b> Expensive, task-specific<br/>2. <b>Standard Few-Shot:</b> Input→Output pairs<br/> (No explanation of reasoning)" style="rounded=1;whiteSpace=wrap;html=1;fillColor=#fff2cc;strokeColor=#d6b656;" vertex="1" parent="1">
<mxGeometry x="420" y="120" width="340" height="120" as="geometry"/>
</mxCell>
<mxCell id="5" value="<b>CoT Methodology</b><br/>• Add reasoning steps to few-shot examples<br/>• Natural language intermediate steps<br/>• No parameter updates needed<br/>• Model learns to generate own thought process" style="rounded=1;whiteSpace=wrap;html=1;fillColor=#d5e8d4;strokeColor=#82b366;" vertex="1" parent="1">
<mxGeometry x="40" y="260" width="340" height="100" as="geometry"/>
</mxCell>
<mxCell id="6" value="<b>Example Comparison</b><br/><b>Standard:</b><br/>Q: Roger has 5 balls. He buys 2 cans of 3 balls. How many?<br/>A: 11.<br/><br/><b>CoT:</b><br/>Q: Roger has 5 balls. He buys 2 cans of 3 balls. How many?<br/>A: Roger started with 5 balls. 2 cans of 3 tennis balls each is 6 tennis balls. 5 + 6 = 11. The answer is 11." style="rounded=1;whiteSpace=wrap;html=1;fillColor=#e1d5e7;strokeColor=#9673a6;" vertex="1" parent="1">
<mxGeometry x="420" y="260" width="340" height="140" as="geometry"/>
</mxCell>
<mxCell id="7" value="<b>Experimental Models</b><br/>• GPT-3 (175B)<br/>• LaMDA (137B)<br/>• PaLM (540B)<br/>• UL2 (20B)<br/>• Codex" style="rounded=1;whiteSpace=wrap;html=1;fillColor=#f8cecc;strokeColor=#b85450;" vertex="1" parent="1">
<mxGeometry x="40" y="380" width="340" height="100" as="geometry"/>
</mxCell>
<mxCell id="8" value="<b>Reasoning Domains Tested</b><br/>1. <b>Arithmetic:</b> GSM8K, SVAMP, ASDiv, AQuA, MAWPS<br/>2. <b>Commonsense:</b> CSQA, StrategyQA, Date Understanding, Sports Understanding<br/>3. <b>Symbolic:</b> Last Letter Concatenation, Coin Flip" style="rounded=1;whiteSpace=wrap;html=1;fillColor=#f5f5f5;strokeColor=#666666;" vertex="1" parent="1">
<mxGeometry x="420" y="420" width="340" height="100" as="geometry"/>
</mxCell>
<mxCell id="9" value="<b>Key Results: Arithmetic</b><br/>• PaLM 540B + CoT: <b>56.9%</b> on GSM8K<br/> (vs 17.9% standard)<br/>• Surpassed finetuned GPT-3 (55%)<br/>• With calculator: <b>58.6%</b>" style="rounded=1;whiteSpace=wrap;html=1;fillColor=#d5e8d4;strokeColor=#82b366;" vertex="1" parent="1">
<mxGeometry x="40" y="500" width="220" height="100" as="geometry"/>
</mxCell>
<mxCell id="10" value="<b>Key Results: Commonsense</b><br/>• StrategyQA: <b>75.6%</b><br/> (vs 69.4% SOTA)<br/>• Sports Understanding: <b>95.4%</b><br/> (vs 84% human)" style="rounded=1;whiteSpace=wrap;html=1;fillColor=#d5e8d4;strokeColor=#82b366;" vertex="1" parent="1">
<mxGeometry x="280" y="500" width="220" height="100" as="geometry"/>
</mxCell>
<mxCell id="11" value="<b>Key Results: Symbolic</b><br/>• OOD Generalization<br/>• Coin Flip: Trained on 2 flips<br/> Works on 3-4 flips with CoT<br/>• Standard prompting fails" style="rounded=1;whiteSpace=wrap;html=1;fillColor=#d5e8d4;strokeColor=#82b366;" vertex="1" parent="1">
<mxGeometry x="540" y="500" width="220" height="100" as="geometry"/>
</mxCell>
<mxCell id="12" value="<b>Emergent Ability of Scale</b><br/>• Small models (&lt;10B): No benefit, often harmful<br/>• Large models (100B+): Reasoning emerges<br/>• CoT gains increase dramatically with scale" style="rounded=1;whiteSpace=wrap;html=1;fillColor=#ffe6cc;strokeColor=#d79b00;" vertex="1" parent="1">
<mxGeometry x="40" y="620" width="340" height="80" as="geometry"/>
</mxCell>
<mxCell id="13" value="<b>Ablation Studies</b><br/>1. Equation only: Worse than CoT<br/>2. Variable compute (...): No improvement<br/>3. Answer first, then reasoning: Same as baseline<br/>→ Content matters, not just extra tokens" style="rounded=1;whiteSpace=wrap;html=1;fillColor=#fff2cc;strokeColor=#d6b656;" vertex="1" parent="1">
<mxGeometry x="420" y="620" width="340" height="80" as="geometry"/>
</mxCell>
<mxCell id="14" value="<b>Error Analysis</b><br/>• Semantic understanding errors<br/>• One-step missing errors<br/>• Calculation errors<br/>• Larger models reduce semantic/missing-step errors" style="rounded=1;whiteSpace=wrap;html=1;fillColor=#f8cecc;strokeColor=#b85450;" vertex="1" parent="1">
<mxGeometry x="40" y="720" width="340" height="80" as="geometry"/>
</mxCell>
<mxCell id="15" value="<b>Conclusion</b><br/>• CoT unlocks reasoning potential<br/>• Simple paradigm: &quot;show your work&quot;<br/>• Emergent capability of large models<br/>• No specialized architecture needed" style="rounded=1;whiteSpace=wrap;html=1;fillColor=#dae8fc;strokeColor=#6c8ebf;" vertex="1" parent="1">
<mxGeometry x="420" y="720" width="340" height="80" as="geometry"/>
</mxCell>
<mxCell id="16" style="edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;exitX=0.5;exitY=1;entryX=0.5;entryY=0;" edge="1" parent="1" source="3" target="5">
<mxGeometry relative="1" as="geometry"/>
</mxCell>
<mxCell id="17" style="edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;exitX=0.5;exitY=1;entryX=0.5;entryY=0;" edge="1" parent="1" source="4" target="6">
<mxGeometry relative="1" as="geometry"/>
</mxCell>
<mxCell id="18" style="edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;exitX=0.5;exitY=1;entryX=0.5;entryY=0;" edge="1" parent="1" source="5" target="7">
<mxGeometry relative="1" as="geometry"/>
</mxCell>
<mxCell id="19" style="edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;exitX=0.5;exitY=1;entryX=0.5;entryY=0;" edge="1" parent="1" source="6" target="8">
<mxGeometry relative="1" as="geometry"/>
</mxCell>
<mxCell id="20" style="edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;exitX=0.5;exitY=1;entryX=0.25;entryY=0;" edge="1" parent="1" source="7" target="9">
<mxGeometry relative="1" as="geometry"/>
</mxCell>
<mxCell id="21" style="edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;exitX=0.5;exitY=1;entryX=0.5;entryY=0;" edge="1" parent="1" source="7" target="10">
<mxGeometry relative="1" as="geometry"/>
</mxCell>
<mxCell id="22" style="edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;exitX=0.5;exitY=1;entryX=0.75;entryY=0;" edge="1" parent="1" source="7" target="11">
<mxGeometry relative="1" as="geometry"/>
</mxCell>
<mxCell id="23" style="edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;exitX=0.5;exitY=1;entryX=0.5;entryY=0;" edge="1" parent="1" source="9" target="12">
<mxGeometry relative="1" as="geometry"/>
</mxCell>
<mxCell id="24" style="edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;exitX=0.5;exitY=1;entryX=0.5;entryY=0;" edge="1" parent="1" source="10" target="13">
<mxGeometry relative="1" as="geometry"/>
</mxCell>
<mxCell id="25" style="edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;exitX=0.5;exitY=1;entryX=0.5;entryY=0;" edge="1" parent="1" source="11" target="14">
<mxGeometry relative="1" as="geometry"/>
</mxCell>
<mxCell id="26" style="edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;exitX=0.5;exitY=1;entryX=0.5;entryY=0;" edge="1" parent="1" source="12" target="15">
<mxGeometry relative="1" as="geometry"/>
</mxCell>
<mxCell id="27" style="edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;exitX=0.5;exitY=1;entryX=0.5;entryY=0;" edge="1" parent="1" source="13" target="15">
<mxGeometry relative="1" as="geometry"/>
</mxCell>
<mxCell id="28" style="edgeStyle=orthogonalEdgeStyle;rounded=0;orthogonalLoop=1;jettySize=auto;html=1;exitX=0.5;exitY=1;entryX=0.5;entryY=0;" edge="1" parent="1" source="14" target="15">
<mxGeometry relative="1" as="geometry"/>
</mxCell>`,
}
interface DevXmlSimulatorProps {
setMessages: React.Dispatch<React.SetStateAction<any[]>>
onDisplayChart: (xml: string) => void
onShowQuotaToast?: () => void
}
export function DevXmlSimulator({
setMessages,
onDisplayChart,
onShowQuotaToast,
}: DevXmlSimulatorProps) {
const dict = useDictionary()
const [devXml, setDevXml] = useState("")
const [isSimulating, setIsSimulating] = useState(false)
const [devIntervalMs, setDevIntervalMs] = useState(1)
const [devChunkSize, setDevChunkSize] = useState(10)
const devStopRef = useRef(false)
const devXmlInitializedRef = useRef(false)
// Restore dev XML from localStorage on mount (after hydration)
useEffect(() => {
const saved = localStorage.getItem("dev-xml-simulator")
if (saved) setDevXml(saved)
devXmlInitializedRef.current = true
}, [])
// Save dev XML to localStorage (only after initial load)
useEffect(() => {
if (devXmlInitializedRef.current) {
localStorage.setItem("dev-xml-simulator", devXml)
}
}, [devXml])
const handleDevSimulate = async () => {
if (!devXml.trim() || isSimulating) return
setIsSimulating(true)
devStopRef.current = false
const toolCallId = `dev-sim-${Date.now()}`
const xml = devXml.trim()
// Add user message and initial assistant message with empty XML
const userMsg = {
id: `user-${Date.now()}`,
role: "user" as const,
parts: [
{
type: "text" as const,
text: dict.dev.simulatingMessage,
},
],
}
const assistantMsg = {
id: `assistant-${Date.now()}`,
role: "assistant" as const,
parts: [
{
type: "tool-display_diagram" as const,
toolCallId,
state: "input-streaming" as const,
input: { xml: "" },
},
],
}
setMessages((prev) => [...prev, userMsg, assistantMsg] as any)
// Stream characters progressively
for (let i = 0; i < xml.length; i += devChunkSize) {
if (devStopRef.current) {
setIsSimulating(false)
return
}
const chunk = xml.slice(0, i + devChunkSize)
setMessages((prev) => {
const updated = [...prev]
const lastMsg = updated[updated.length - 1] as any
if (lastMsg?.role === "assistant" && lastMsg.parts?.[0]) {
lastMsg.parts[0].input = { xml: chunk }
}
return updated
})
await new Promise((r) => setTimeout(r, devIntervalMs))
}
if (devStopRef.current) {
setIsSimulating(false)
return
}
// Finalize: set state to output-available
setMessages((prev) => {
const updated = [...prev]
const lastMsg = updated[updated.length - 1] as any
if (lastMsg?.role === "assistant" && lastMsg.parts?.[0]) {
lastMsg.parts[0].state = "output-available"
lastMsg.parts[0].output = dict.dev.successMessage
lastMsg.parts[0].input = { xml }
}
return updated
})
// Display the final diagram
const fullXml = wrapWithMxFile(xml)
onDisplayChart(fullXml)
setIsSimulating(false)
}
return (
<div className="border-t border-dashed border-orange-500/50 px-4 py-2 bg-orange-50/50 dark:bg-orange-950/30">
<details>
<summary className="text-xs text-orange-600 dark:text-orange-400 cursor-pointer font-medium">
{dict.dev.title}
</summary>
<div className="mt-2 space-y-2">
<div className="flex items-center gap-2">
<label className="text-xs text-muted-foreground whitespace-nowrap">
{dict.dev.preset}
</label>
<select
onChange={(e) => {
if (e.target.value) {
setDevXml(DEV_XML_PRESETS[e.target.value])
}
}}
className="flex-1 text-xs p-1 border rounded bg-background"
defaultValue=""
>
<option value="" disabled>
{dict.dev.selectPreset}
</option>
{Object.keys(DEV_XML_PRESETS).map((name) => (
<option key={name} value={name}>
{name}
</option>
))}
</select>
<button
type="button"
onClick={() => setDevXml("")}
className="px-2 py-1 text-xs text-muted-foreground hover:text-foreground border rounded"
>
{dict.dev.clear}
</button>
</div>
<textarea
value={devXml}
onChange={(e) => setDevXml(e.target.value)}
placeholder={dict.dev.placeholder}
className="w-full h-24 text-xs font-mono p-2 border rounded bg-background"
/>
<div className="flex items-center gap-4">
<div className="flex items-center gap-2 flex-1">
<label className="text-xs text-muted-foreground whitespace-nowrap">
{dict.dev.interval}
</label>
<input
type="range"
min="1"
max="200"
step="1"
value={devIntervalMs}
onChange={(e) =>
setDevIntervalMs(Number(e.target.value))
}
className="flex-1 h-1 accent-orange-500"
/>
<span className="text-xs text-muted-foreground w-12">
{devIntervalMs}ms
</span>
</div>
<div className="flex items-center gap-2">
<label className="text-xs text-muted-foreground whitespace-nowrap">
{dict.dev.chars}
</label>
<input
type="number"
min="1"
max="100"
value={devChunkSize}
onChange={(e) =>
setDevChunkSize(
Math.max(1, Number(e.target.value)),
)
}
className="w-14 text-xs p-1 border rounded bg-background"
/>
</div>
</div>
<div className="flex gap-2">
<button
type="button"
onClick={handleDevSimulate}
disabled={isSimulating || !devXml.trim()}
className="px-3 py-1 text-xs bg-orange-500 text-white rounded hover:bg-orange-600 disabled:opacity-50 disabled:cursor-not-allowed"
>
{isSimulating
? dict.dev.streaming
: `${dict.dev.simulate} (${devChunkSize} chars/${devIntervalMs}ms)`}
</button>
{isSimulating && (
<button
type="button"
onClick={() => {
devStopRef.current = true
}}
className="px-3 py-1 text-xs bg-red-500 text-white rounded hover:bg-red-600"
>
{dict.dev.stop}
</button>
)}
{onShowQuotaToast && (
<button
type="button"
onClick={onShowQuotaToast}
className="px-3 py-1 text-xs bg-purple-500 text-white rounded hover:bg-purple-600"
>
{dict.dev.testQuotaToast}
</button>
)}
</div>
</div>
</details>
</div>
)
}

View File

@@ -1,36 +1,19 @@
"use client" "use client"
import { FileCode, FileText, Loader2, X } from "lucide-react" import { X } from "lucide-react"
import Image from "next/image" import Image from "next/image"
import { useEffect, useRef, useState } from "react" 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)
}
interface FilePreviewListProps { interface FilePreviewListProps {
files: File[] files: File[]
onRemoveFile: (fileToRemove: File) => void onRemoveFile: (fileToRemove: File) => void
pdfData?: Map<
File,
{ text: string; charCount: number; isExtracting: boolean }
>
} }
export function FilePreviewList({ export function FilePreviewList({ files, onRemoveFile }: FilePreviewListProps) {
files,
onRemoveFile,
pdfData = new Map(),
}: FilePreviewListProps) {
const dict = useDictionary()
const [selectedImage, setSelectedImage] = useState<string | null>(null) const [selectedImage, setSelectedImage] = useState<string | null>(null)
const [imageUrls, setImageUrls] = useState<Map<File, string>>(new Map()) const [imageUrls, setImageUrls] = useState<Map<File, string>>(new Map())
const imageUrlsRef = useRef<Map<File, string>>(new Map()) const imageUrlsRef = useRef<Map<File, string>>(new Map())
// Create and cleanup object URLs when files change // Create and cleanup object URLs when files change
useEffect(() => { useEffect(() => {
const currentUrls = imageUrlsRef.current const currentUrls = imageUrlsRef.current
@@ -47,6 +30,7 @@ export function FilePreviewList({
} }
} }
}) })
// Revoke URLs for files that are no longer in the list // Revoke URLs for files that are no longer in the list
currentUrls.forEach((url, file) => { currentUrls.forEach((url, file) => {
if (!newUrls.has(file)) { if (!newUrls.has(file)) {
@@ -57,16 +41,16 @@ export function FilePreviewList({
imageUrlsRef.current = newUrls imageUrlsRef.current = newUrls
setImageUrls(newUrls) setImageUrls(newUrls)
}, [files]) }, [files])
// Cleanup all URLs on unmount only // Cleanup all URLs on unmount only
useEffect(() => { useEffect(() => {
return () => { return () => {
imageUrlsRef.current.forEach((url) => { imageUrlsRef.current.forEach((url) => {
URL.revokeObjectURL(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 // Clear selected image if its URL was revoked
useEffect(() => { useEffect(() => {
if ( if (
@@ -84,19 +68,12 @@ export function FilePreviewList({
<div className="flex flex-wrap gap-2 mt-2 p-2 bg-muted/50 rounded-md"> <div className="flex flex-wrap gap-2 mt-2 p-2 bg-muted/50 rounded-md">
{files.map((file, index) => { {files.map((file, index) => {
const imageUrl = imageUrls.get(file) || null const imageUrl = imageUrls.get(file) || null
const pdfInfo = pdfData.get(file)
return ( return (
<div key={file.name + index} className="relative group"> <div key={file.name + index} className="relative group">
<div <div
className={`w-20 h-20 border rounded-md overflow-hidden bg-muted ${ className="w-20 h-20 border rounded-md overflow-hidden bg-muted cursor-pointer"
file.type.startsWith("image/") && imageUrl
? "cursor-pointer"
: ""
}`}
onClick={() => onClick={() =>
file.type.startsWith("image/") && imageUrl && setSelectedImage(imageUrl)
imageUrl &&
setSelectedImage(imageUrl)
} }
> >
{file.type.startsWith("image/") && imageUrl ? ( {file.type.startsWith("image/") && imageUrl ? (
@@ -106,35 +83,7 @@ export function FilePreviewList({
width={80} width={80}
height={80} height={80}
className="object-cover w-full h-full" className="object-cover w-full h-full"
unoptimized
/> />
) : isPdfFile(file) || isTextFile(file) ? (
<div className="flex flex-col items-center justify-center h-full p-1">
{pdfInfo?.isExtracting ? (
<Loader2 className="h-6 w-6 text-blue-500 mb-1 animate-spin" />
) : isPdfFile(file) ? (
<FileText className="h-6 w-6 text-red-500 mb-1" />
) : (
<FileCode className="h-6 w-6 text-blue-500 mb-1" />
)}
<span className="text-xs text-center truncate w-full px-1">
{file.name.length > 10
? `${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"> <div className="flex items-center justify-center h-full text-xs text-center p-1">
{file.name} {file.name}
@@ -145,7 +94,7 @@ export function FilePreviewList({
type="button" type="button"
onClick={() => onRemoveFile(file)} onClick={() => onRemoveFile(file)}
className="absolute -top-2 -right-2 bg-destructive rounded-full p-1 opacity-0 group-hover:opacity-100 transition-opacity" 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" /> <X className="h-3 w-3" />
</button> </button>
@@ -153,6 +102,7 @@ export function FilePreviewList({
) )
})} })}
</div> </div>
{/* Image Modal/Lightbox */} {/* Image Modal/Lightbox */}
{selectedImage && ( {selectedImage && (
<div <div
@@ -162,7 +112,7 @@ export function FilePreviewList({
<button <button
className="absolute top-4 right-4 z-10 bg-white rounded-full p-2 hover:bg-gray-200 transition-colors" className="absolute top-4 right-4 z-10 bg-white rounded-full p-2 hover:bg-gray-200 transition-colors"
onClick={() => setSelectedImage(null)} onClick={() => setSelectedImage(null)}
aria-label={dict.common.close} aria-label="Close"
> >
<X className="h-6 w-6" /> <X className="h-6 w-6" />
</button> </button>
@@ -174,7 +124,6 @@ export function FilePreviewList({
height={900} height={900}
className="object-contain max-w-full max-h-[90vh] w-auto h-auto" className="object-contain max-w-full max-h-[90vh] w-auto h-auto"
onClick={(e) => e.stopPropagation()} onClick={(e) => e.stopPropagation()}
unoptimized
/> />
</div> </div>
</div> </div>

View File

@@ -12,8 +12,6 @@ import {
DialogTitle, DialogTitle,
} from "@/components/ui/dialog" } from "@/components/ui/dialog"
import { useDiagram } from "@/contexts/diagram-context" import { useDiagram } from "@/contexts/diagram-context"
import { useDictionary } from "@/hooks/use-dictionary"
import { formatMessage } from "@/lib/i18n/utils"
interface HistoryDialogProps { interface HistoryDialogProps {
showHistory: boolean showHistory: boolean
@@ -24,7 +22,6 @@ export function HistoryDialog({
showHistory, showHistory,
onToggleHistory, onToggleHistory,
}: HistoryDialogProps) { }: HistoryDialogProps) {
const dict = useDictionary()
const { loadDiagram: onDisplayChart, diagramHistory } = useDiagram() const { loadDiagram: onDisplayChart, diagramHistory } = useDiagram()
const [selectedIndex, setSelectedIndex] = useState<number | null>(null) const [selectedIndex, setSelectedIndex] = useState<number | null>(null)
@@ -35,8 +32,7 @@ export function HistoryDialog({
const handleConfirmRestore = () => { const handleConfirmRestore = () => {
if (selectedIndex !== null) { if (selectedIndex !== null) {
// Skip validation for trusted history snapshots onDisplayChart(diagramHistory[selectedIndex].xml)
onDisplayChart(diagramHistory[selectedIndex].xml, true)
handleClose() handleClose()
} }
} }
@@ -45,15 +41,18 @@ export function HistoryDialog({
<Dialog open={showHistory} onOpenChange={onToggleHistory}> <Dialog open={showHistory} onOpenChange={onToggleHistory}>
<DialogContent className="max-w-3xl max-h-[80vh] overflow-y-auto"> <DialogContent className="max-w-3xl max-h-[80vh] overflow-y-auto">
<DialogHeader> <DialogHeader>
<DialogTitle>{dict.history.title}</DialogTitle> <DialogTitle>Diagram History</DialogTitle>
<DialogDescription> <DialogDescription>
{dict.history.description} Here saved each diagram before AI modification.
<br />
Click on a diagram to restore it
</DialogDescription> </DialogDescription>
</DialogHeader> </DialogHeader>
{diagramHistory.length === 0 ? ( {diagramHistory.length === 0 ? (
<div className="text-center p-4 text-gray-500"> <div className="text-center p-4 text-gray-500">
{dict.history.noHistory} No history available yet. Send messages to create
diagram history.
</div> </div>
) : ( ) : (
<div className="grid grid-cols-2 md:grid-cols-3 gap-4 py-4"> <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"> <div className="aspect-video bg-white rounded overflow-hidden flex items-center justify-center">
<Image <Image
src={item.svg} src={item.svg}
alt={`${dict.history.version} ${index + 1}`} alt={`Diagram version ${index + 1}`}
width={200} width={200}
height={100} height={100}
className="object-contain w-full h-full p-1" className="object-contain w-full h-full p-1"
/> />
</div> </div>
<div className="text-xs text-center mt-1 text-gray-500"> <div className="text-xs text-center mt-1 text-gray-500">
{dict.history.version} {index + 1} Version {index + 1}
</div> </div>
</div> </div>
))} ))}
@@ -88,23 +87,21 @@ export function HistoryDialog({
{selectedIndex !== null ? ( {selectedIndex !== null ? (
<> <>
<div className="flex-1 text-sm text-muted-foreground"> <div className="flex-1 text-sm text-muted-foreground">
{formatMessage(dict.history.restoreTo, { Restore to Version {selectedIndex + 1}?
version: selectedIndex + 1,
})}
</div> </div>
<Button <Button
variant="outline" variant="outline"
onClick={() => setSelectedIndex(null)} onClick={() => setSelectedIndex(null)}
> >
{dict.common.cancel} Cancel
</Button> </Button>
<Button onClick={handleConfirmRestore}> <Button onClick={handleConfirmRestore}>
{dict.common.confirm} Confirm
</Button> </Button>
</> </>
) : ( ) : (
<Button variant="outline" onClick={handleClose}> <Button variant="outline" onClick={handleClose}>
{dict.common.close} Close
</Button> </Button>
)} )}
</DialogFooter> </DialogFooter>

File diff suppressed because it is too large Load Diff

View File

@@ -1,303 +0,0 @@
"use client"
import {
AlertTriangle,
Bot,
Check,
ChevronDown,
Server,
Settings2,
} from "lucide-react"
import { useEffect, useMemo, useRef, 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 { useDictionary } from "@/hooks/use-dictionary"
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
showUnvalidatedModels?: 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",
sglang: "openai", // SGLang is OpenAI-compatible, use OpenAI logo
gateway: "vercel",
edgeone: "tencent-cloud",
doubao: "bytedance",
}
// 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,
showUnvalidatedModels = false,
}: ModelSelectorProps) {
const dict = useDictionary()
const [open, setOpen] = useState(false)
// Filter models based on showUnvalidatedModels setting
const displayModels = useMemo(() => {
if (showUnvalidatedModels) {
return models
}
return models.filter((m) => m.validated === true)
}, [models, showUnvalidatedModels])
const groupedModels = useMemo(
() => groupModelsByProvider(displayModels),
[displayModels],
)
// 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} ${dict.modelConfig.clickToChange}`
: `${dict.modelConfig.usingServerDefault} ${dict.modelConfig.clickToChange}`
const wrapperRef = useRef<HTMLDivElement | null>(null)
const [showLabel, setShowLabel] = useState(true)
// Threshold (px) under which we hide the label (tweak as needed)
const HIDE_THRESHOLD = 240
const SHOW_THRESHOLD = 260
useEffect(() => {
const el = wrapperRef.current
if (!el) return
const target = el.parentElement ?? el
const ro = new ResizeObserver((entries) => {
for (const entry of entries) {
const width = entry.contentRect.width
setShowLabel((prev) => {
// if currently showing and width dropped below hide threshold -> hide
if (prev && width <= HIDE_THRESHOLD) return false
// if currently hidden and width rose above show threshold -> show
if (!prev && width >= SHOW_THRESHOLD) return true
// otherwise keep previous state (hysteresis)
return prev
})
}
})
ro.observe(target)
const initialWidth = target.getBoundingClientRect().width
setShowLabel(initialWidth >= SHOW_THRESHOLD)
return () => ro.disconnect()
}, [])
return (
<div ref={wrapperRef} className="inline-block">
<ModelSelectorRoot open={open} onOpenChange={setOpen}>
<ModelSelectorTrigger asChild>
<ButtonWithTooltip
tooltipContent={tooltipContent}
variant="ghost"
size="sm"
disabled={disabled}
className={cn(
"hover:bg-accent gap-1.5 h-8 px-2 transition-all duration-150 ease-in-out",
!showLabel && "px-1.5 justify-center",
)}
// accessibility: expose label to screen readers
aria-label={tooltipContent}
>
<Bot className="h-4 w-4 flex-shrink-0 text-muted-foreground" />
{/* show/hide visible label based on measured width */}
{showLabel ? (
<span className="text-xs truncate">
{selectedModel
? selectedModel.modelId
: dict.modelConfig.default}
</span>
) : (
// Keep an sr-only label for screen readers when hidden
<span className="sr-only">
{selectedModel
? selectedModel.modelId
: dict.modelConfig.default}
</span>
)}
<ChevronDown className="h-3 w-3 flex-shrink-0 text-muted-foreground" />
</ButtonWithTooltip>
</ModelSelectorTrigger>
<ModelSelectorContent title={dict.modelConfig.selectModel}>
<ModelSelectorInput
placeholder={dict.modelConfig.searchModels}
/>
<ModelSelectorList className="[&::-webkit-scrollbar]:hidden [-ms-overflow-style:none] [scrollbar-width:none]">
<ModelSelectorEmpty>
{displayModels.length === 0 && models.length > 0
? dict.modelConfig.noVerifiedModels
: dict.modelConfig.noModelsFound}
</ModelSelectorEmpty>
{/* Server Default Option */}
<ModelSelectorGroup heading={dict.modelConfig.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>
{dict.modelConfig.serverDefault}
</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>
{model.validated !== true && (
<span
title={
dict.modelConfig
.unvalidatedModelWarning
}
>
<AlertTriangle className="ml-auto h-3 w-3 text-warning" />
</span>
)}
</ModelSelectorItem>
))}
</ModelSelectorGroup>
),
)}
{/* Configure Option */}
<ModelSelectorSeparator />
<ModelSelectorGroup>
<ModelSelectorItem
value="__configure__"
onSelect={handleSelect}
className="cursor-pointer"
>
<Settings2 className="mr-2 h-4 w-4" />
<ModelSelectorName>
{dict.modelConfig.configureModels}
</ModelSelectorName>
</ModelSelectorItem>
</ModelSelectorGroup>
{/* Info text */}
<div className="px-3 py-2 text-xs text-muted-foreground border-t">
{showUnvalidatedModels
? dict.modelConfig.allModelsShown
: dict.modelConfig.onlyVerifiedShown}
</div>
</ModelSelectorList>
</ModelSelectorContent>
</ModelSelectorRoot>
</div>
)
}

View File

@@ -1,125 +0,0 @@
"use client"
import { Coffee, Settings, X } from "lucide-react"
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
onConfigModel?: () => void
}
export function QuotaLimitToast({
type = "request",
used,
limit,
onDismiss,
onConfigModel,
}: 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: formatMessage(dict.quota.doubaoSponsorship, {
link: "https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project",
}),
}}
/>
<p dangerouslySetInnerHTML={{ __html: dict.quota.tip }} />
<p>{dict.quota.reset}</p>
</div>{" "}
{/* Action buttons */}
<div className="flex items-center gap-2">
{onConfigModel && (
<button
type="button"
onClick={() => {
onConfigModel()
onDismiss()
}}
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"
>
<Settings className="w-3.5 h-3.5" />
{dict.quota.configModel}
</button>
)}
<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 border border-border text-foreground hover:bg-muted 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

@@ -9,7 +9,6 @@ import {
DialogHeader, DialogHeader,
DialogTitle, DialogTitle,
} from "@/components/ui/dialog" } from "@/components/ui/dialog"
import { useDictionary } from "@/hooks/use-dictionary"
interface ResetWarningModalProps { interface ResetWarningModalProps {
open: boolean open: boolean
@@ -22,15 +21,14 @@ export function ResetWarningModal({
onOpenChange, onOpenChange,
onClear, onClear,
}: ResetWarningModalProps) { }: ResetWarningModalProps) {
const dict = useDictionary()
return ( return (
<Dialog open={open} onOpenChange={onOpenChange}> <Dialog open={open} onOpenChange={onOpenChange}>
<DialogContent> <DialogContent>
<DialogHeader> <DialogHeader>
<DialogTitle>{dict.dialogs.clearTitle}</DialogTitle> <DialogTitle>Clear Everything?</DialogTitle>
<DialogDescription> <DialogDescription>
{dict.dialogs.clearDescription} This will clear the current conversation and reset the
diagram. This action cannot be undone.
</DialogDescription> </DialogDescription>
</DialogHeader> </DialogHeader>
<DialogFooter> <DialogFooter>
@@ -38,10 +36,10 @@ export function ResetWarningModal({
variant="outline" variant="outline"
onClick={() => onOpenChange(false)} onClick={() => onOpenChange(false)}
> >
{dict.common.cancel} Cancel
</Button> </Button>
<Button variant="destructive" onClick={onClear}> <Button variant="destructive" onClick={onClear}>
{dict.dialogs.clearEverything} Clear Everything
</Button> </Button>
</DialogFooter> </DialogFooter>
</DialogContent> </DialogContent>

View File

@@ -5,7 +5,6 @@ import { Button } from "@/components/ui/button"
import { import {
Dialog, Dialog,
DialogContent, DialogContent,
DialogDescription,
DialogFooter, DialogFooter,
DialogHeader, DialogHeader,
DialogTitle, DialogTitle,
@@ -18,10 +17,19 @@ import {
SelectTrigger, SelectTrigger,
SelectValue, SelectValue,
} from "@/components/ui/select" } from "@/components/ui/select"
import { useDictionary } from "@/hooks/use-dictionary"
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 { interface SaveDialogProps {
open: boolean open: boolean
onOpenChange: (open: boolean) => void onOpenChange: (open: boolean) => void
@@ -35,7 +43,6 @@ export function SaveDialog({
onSave, onSave,
defaultFilename, defaultFilename,
}: SaveDialogProps) { }: SaveDialogProps) {
const dict = useDictionary()
const [filename, setFilename] = useState(defaultFilename) const [filename, setFilename] = useState(defaultFilename)
const [format, setFormat] = useState<ExportFormat>("drawio") const [format, setFormat] = useState<ExportFormat>("drawio")
@@ -58,40 +65,17 @@ export function SaveDialog({
} }
} }
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 ( return (
<Dialog open={open} onOpenChange={onOpenChange}> <Dialog open={open} onOpenChange={onOpenChange}>
<DialogContent className="sm:max-w-md"> <DialogContent className="sm:max-w-md">
<DialogHeader> <DialogHeader>
<DialogTitle>{dict.save.title}</DialogTitle> <DialogTitle>Save Diagram</DialogTitle>
<DialogDescription>
{dict.save.description}
</DialogDescription>
</DialogHeader> </DialogHeader>
<div className="space-y-4"> <div className="space-y-4">
<div className="space-y-2"> <div className="space-y-2">
<label className="text-sm font-medium"> <label className="text-sm font-medium">Format</label>
{dict.save.format}
</label>
<Select <Select
value={format} value={format}
onValueChange={(v) => setFormat(v as ExportFormat)} onValueChange={(v) => setFormat(v as ExportFormat)}
@@ -112,15 +96,13 @@ export function SaveDialog({
</Select> </Select>
</div> </div>
<div className="space-y-2"> <div className="space-y-2">
<label className="text-sm font-medium"> <label className="text-sm font-medium">Filename</label>
{dict.save.filename}
</label>
<div className="flex items-stretch"> <div className="flex items-stretch">
<Input <Input
value={filename} value={filename}
onChange={(e) => setFilename(e.target.value)} onChange={(e) => setFilename(e.target.value)}
onKeyDown={handleKeyDown} onKeyDown={handleKeyDown}
placeholder={dict.save.filenamePlaceholder} placeholder="Enter filename"
autoFocus autoFocus
onFocus={(e) => e.target.select()} onFocus={(e) => e.target.select()}
className="rounded-r-none border-r-0 focus-visible:z-10" className="rounded-r-none border-r-0 focus-visible:z-10"
@@ -136,9 +118,9 @@ export function SaveDialog({
variant="outline" variant="outline"
onClick={() => onOpenChange(false)} onClick={() => onOpenChange(false)}
> >
{dict.common.cancel} Cancel
</Button> </Button>
<Button onClick={handleSave}>{dict.common.save}</Button> <Button onClick={handleSave}>Save</Button>
</DialogFooter> </DialogFooter>
</DialogContent> </DialogContent>
</Dialog> </Dialog>

View File

@@ -1,141 +1,37 @@
"use client" "use client"
import { Github, Info, Moon, Sun, Tag } from "lucide-react" import { useEffect, useState } from "react"
import { usePathname, useRouter, useSearchParams } from "next/navigation"
import { Suspense, useEffect, useState } from "react"
import { Button } from "@/components/ui/button" import { Button } from "@/components/ui/button"
import { import {
Dialog, Dialog,
DialogContent, DialogContent,
DialogDescription, DialogDescription,
DialogFooter,
DialogHeader, DialogHeader,
DialogTitle, DialogTitle,
} from "@/components/ui/dialog" } from "@/components/ui/dialog"
import { Input } from "@/components/ui/input" import { Input } from "@/components/ui/input"
import { Label } from "@/components/ui/label" import { Label } from "@/components/ui/label"
import {
Select,
SelectContent,
SelectItem,
SelectTrigger,
SelectValue,
} from "@/components/ui/select"
import { Switch } from "@/components/ui/switch" 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"
// Reusable setting item component for consistent layout
function SettingItem({
label,
description,
children,
}: {
label: string
description?: string
children: React.ReactNode
}) {
return (
<div className="flex items-center justify-between py-4 first:pt-0 last:pb-0">
<div className="space-y-0.5 pr-4">
<Label className="text-sm font-medium">{label}</Label>
{description && (
<p className="text-xs text-muted-foreground max-w-[260px]">
{description}
</p>
)}
</div>
<div className="shrink-0">{children}</div>
</div>
)
}
const LANGUAGE_LABELS: Record<Locale, string> = {
en: "English",
zh: "中文",
ja: "日本語",
}
interface SettingsDialogProps { interface SettingsDialogProps {
open: boolean open: boolean
onOpenChange: (open: boolean) => void onOpenChange: (open: boolean) => void
onCloseProtectionChange?: (enabled: boolean) => void onCloseProtectionChange?: (enabled: boolean) => void
drawioUi: "min" | "sketch"
onToggleDrawioUi: () => void
darkMode: boolean
onToggleDarkMode: () => void
minimalStyle?: boolean
onMinimalStyleChange?: (value: boolean) => void
} }
export const STORAGE_ACCESS_CODE_KEY = "next-ai-draw-io-access-code" export const STORAGE_ACCESS_CODE_KEY = "next-ai-draw-io-access-code"
export const STORAGE_CLOSE_PROTECTION_KEY = "next-ai-draw-io-close-protection" 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"
function getStoredAccessCodeRequired(): boolean | null { export function SettingsDialog({
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({
open, open,
onOpenChange, onOpenChange,
onCloseProtectionChange, onCloseProtectionChange,
drawioUi,
onToggleDrawioUi,
darkMode,
onToggleDarkMode,
minimalStyle = false,
onMinimalStyleChange = () => {},
}: SettingsDialogProps) { }: SettingsDialogProps) {
const dict = useDictionary()
const router = useRouter()
const pathname = usePathname() || "/"
const search = useSearchParams()
const [accessCode, setAccessCode] = useState("") const [accessCode, setAccessCode] = useState("")
const [closeProtection, setCloseProtection] = useState(true) const [closeProtection, setCloseProtection] = useState(true)
const [isVerifying, setIsVerifying] = useState(false) const [isVerifying, setIsVerifying] = useState(false)
const [error, setError] = useState("") 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 ${res.status}`)
return res.json()
})
.then((data) => {
const required = data?.accessCodeRequired === true
localStorage.setItem(
STORAGE_ACCESS_CODE_REQUIRED_KEY,
String(required),
)
setAccessCodeRequired(required)
})
.catch(() => {
// Don't cache on error - allow retry on next mount
setAccessCodeRequired(false)
})
}, [])
// Detect current language from pathname
useEffect(() => {
const seg = pathname.split("/").filter(Boolean)
const first = seg[0]
if (first && i18n.locales.includes(first as Locale)) {
setCurrentLang(first)
} else {
setCurrentLang(i18n.defaultLocale)
}
}, [pathname])
useEffect(() => { useEffect(() => {
if (open) { if (open) {
@@ -148,54 +44,41 @@ function SettingsContent({
) )
// Default to true if not set // Default to true if not set
setCloseProtection(storedCloseProtection !== "false") setCloseProtection(storedCloseProtection !== "false")
setError("") setError("")
} }
}, [open]) }, [open])
const changeLanguage = (lang: string) => {
// Save locale to localStorage for persistence across restarts
localStorage.setItem("next-ai-draw-io-locale", lang)
const parts = pathname.split("/")
if (parts.length > 1 && i18n.locales.includes(parts[1] as Locale)) {
parts[1] = lang
} else {
parts.splice(1, 0, lang)
}
const newPath = parts.join("/") || "/"
const searchStr = search?.toString() ? `?${search.toString()}` : ""
router.push(newPath + searchStr)
}
const handleSave = async () => { const handleSave = async () => {
if (!accessCodeRequired) return
setError("") setError("")
setIsVerifying(true) setIsVerifying(true)
try { try {
const response = await fetch( // Verify access code with server
getApiEndpoint("/api/verify-access-code"), const response = await fetch("/api/verify-access-code", {
{ method: "POST",
method: "POST", headers: {
headers: { "x-access-code": accessCode.trim(),
"x-access-code": accessCode.trim(),
},
}, },
) })
const data = await response.json() const data = await response.json()
if (!data.valid) { if (!data.valid) {
setError(data.message || dict.errors.invalidAccessCode) setError(data.message || "Invalid access code")
setIsVerifying(false)
return return
} }
// Save settings only if verification passes
localStorage.setItem(STORAGE_ACCESS_CODE_KEY, accessCode.trim()) localStorage.setItem(STORAGE_ACCESS_CODE_KEY, accessCode.trim())
localStorage.setItem(
STORAGE_CLOSE_PROTECTION_KEY,
closeProtection.toString(),
)
onCloseProtectionChange?.(closeProtection)
onOpenChange(false) onOpenChange(false)
} catch { } catch {
setError(dict.errors.networkError) setError("Failed to verify access code")
} finally { } finally {
setIsVerifying(false) setIsVerifying(false)
} }
@@ -209,222 +92,64 @@ function SettingsContent({
} }
return ( return (
<DialogContent className="sm:max-w-lg p-0 gap-0"> <Dialog open={open} onOpenChange={onOpenChange}>
{/* Header */} <DialogContent className="sm:max-w-md">
<DialogHeader className="px-6 pt-6 pb-4"> <DialogHeader>
<DialogTitle>{dict.settings.title}</DialogTitle> <DialogTitle>Settings</DialogTitle>
<DialogDescription className="mt-1"> <DialogDescription>
{dict.settings.description} Configure your access settings.
</DialogDescription> </DialogDescription>
</DialogHeader> </DialogHeader>
<div className="space-y-4 py-2">
{/* Content */} <div className="space-y-2">
<div className="px-6 pb-6"> <label className="text-sm font-medium leading-none peer-disabled:cursor-not-allowed peer-disabled:opacity-70">
<div className="divide-y divide-border-subtle"> Access Code
{/* Access Code (conditional) */} </label>
{accessCodeRequired && ( <Input
<div className="py-4 first:pt-0 space-y-3"> type="password"
<div className="space-y-0.5"> value={accessCode}
<Label onChange={(e) => setAccessCode(e.target.value)}
htmlFor="access-code" onKeyDown={handleKeyDown}
className="text-sm font-medium" placeholder="Enter access code"
> autoComplete="off"
{dict.settings.accessCode} />
</Label> <p className="text-[0.8rem] text-muted-foreground">
<p className="text-xs text-muted-foreground"> Required if the server has enabled access control.
{dict.settings.accessCodeDescription} </p>
</p> {error && (
</div> <p className="text-[0.8rem] text-destructive">
<div className="flex gap-2"> {error}
<Input </p>
id="access-code" )}
type="password" </div>
value={accessCode} <div className="flex items-center justify-between">
onChange={(e) => <div className="space-y-0.5">
setAccessCode(e.target.value) <Label htmlFor="close-protection">
} Close Protection
onKeyDown={handleKeyDown} </Label>
placeholder={ <p className="text-[0.8rem] text-muted-foreground">
dict.settings.accessCodePlaceholder Show confirmation when leaving the page.
} </p>
autoComplete="off"
className="h-9"
/>
<Button
onClick={handleSave}
disabled={isVerifying || !accessCode.trim()}
className="h-9 px-4 rounded-xl"
>
{isVerifying ? "..." : dict.common.save}
</Button>
</div>
{error && (
<p className="text-xs text-destructive">
{error}
</p>
)}
</div> </div>
)}
{/* Language */}
<SettingItem
label={dict.settings.language}
description={dict.settings.languageDescription}
>
<Select
value={currentLang}
onValueChange={changeLanguage}
>
<SelectTrigger
id="language-select"
className="w-[120px] h-9 rounded-xl"
>
<SelectValue />
</SelectTrigger>
<SelectContent>
{i18n.locales.map((locale) => (
<SelectItem key={locale} value={locale}>
{LANGUAGE_LABELS[locale]}
</SelectItem>
))}
</SelectContent>
</Select>
</SettingItem>
{/* Theme */}
<SettingItem
label={dict.settings.theme}
description={dict.settings.themeDescription}
>
<Button
id="theme-toggle"
variant="outline"
size="icon"
onClick={onToggleDarkMode}
className="h-9 w-9 rounded-xl border-border-subtle hover:bg-interactive-hover"
>
{darkMode ? (
<Sun className="h-4 w-4" />
) : (
<Moon className="h-4 w-4" />
)}
</Button>
</SettingItem>
{/* Draw.io Style */}
<SettingItem
label={dict.settings.drawioStyle}
description={`${dict.settings.drawioStyleDescription} ${
drawioUi === "min"
? dict.settings.minimal
: dict.settings.sketch
}`}
>
<Button
id="drawio-ui"
variant="outline"
onClick={onToggleDrawioUi}
className="h-9 w-[120px] rounded-xl border-border-subtle hover:bg-interactive-hover font-normal"
>
{dict.settings.switchTo}{" "}
{drawioUi === "min"
? dict.settings.sketch
: dict.settings.minimal}
</Button>
</SettingItem>
{/* Close Protection */}
<SettingItem
label={dict.settings.closeProtection}
description={dict.settings.closeProtectionDescription}
>
<Switch <Switch
id="close-protection" id="close-protection"
checked={closeProtection} checked={closeProtection}
onCheckedChange={(checked) => { onCheckedChange={setCloseProtection}
setCloseProtection(checked)
localStorage.setItem(
STORAGE_CLOSE_PROTECTION_KEY,
checked.toString(),
)
onCloseProtectionChange?.(checked)
}}
/> />
</SettingItem> </div>
{/* Diagram Style */}
<SettingItem
label={dict.settings.diagramStyle}
description={dict.settings.diagramStyleDescription}
>
<div className="flex items-center gap-2">
<Switch
id="minimal-style"
checked={minimalStyle}
onCheckedChange={onMinimalStyleChange}
/>
<span className="text-sm text-muted-foreground">
{minimalStyle
? dict.chat.minimalStyle
: dict.chat.styledMode}
</span>
</div>
</SettingItem>
</div> </div>
</div> <DialogFooter>
<Button
{/* Footer */} variant="outline"
<div className="px-6 py-4 border-t border-border-subtle bg-surface-1/50 rounded-b-2xl"> onClick={() => onOpenChange(false)}
<div className="flex items-center justify-center gap-3">
<span className="text-xs text-muted-foreground flex items-center gap-1">
<Tag className="h-3 w-3" />
{process.env.APP_VERSION}
</span>
<span className="text-muted-foreground">·</span>
<a
href="https://github.com/DayuanJiang/next-ai-draw-io"
target="_blank"
rel="noopener noreferrer"
className="text-xs text-muted-foreground hover:text-foreground transition-colors flex items-center gap-1"
> >
<Github className="h-3 w-3" /> Cancel
GitHub </Button>
</a> <Button onClick={handleSave} disabled={isVerifying}>
{process.env.NEXT_PUBLIC_SHOW_ABOUT_AND_NOTICE === {isVerifying ? "Verifying..." : "Save"}
"true" && ( </Button>
<> </DialogFooter>
<span className="text-muted-foreground">·</span> </DialogContent>
<a
href={`/${currentLang}/about${currentLang === "zh" ? "/cn" : currentLang === "ja" ? "/ja" : ""}`}
target="_blank"
rel="noopener noreferrer"
className="text-xs text-muted-foreground hover:text-foreground transition-colors flex items-center gap-1"
>
<Info className="h-3 w-3" />
{dict.nav.about}
</a>
</>
)}
</div>
</div>
</DialogContent>
)
}
export function SettingsDialog(props: SettingsDialogProps) {
return (
<Dialog open={props.open} onOpenChange={props.onOpenChange}>
<Suspense
fallback={
<DialogContent className="sm:max-w-lg p-0">
<div className="h-80 flex items-center justify-center">
<div className="animate-spin h-6 w-6 border-2 border-primary border-t-transparent rounded-full" />
</div>
</DialogContent>
}
>
<SettingsContent {...props} />
</Suspense>
</Dialog> </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

@@ -38,10 +38,7 @@ function DialogOverlay({
<DialogPrimitive.Overlay <DialogPrimitive.Overlay
data-slot="dialog-overlay" data-slot="dialog-overlay"
className={cn( className={cn(
"fixed inset-0 z-50 bg-black/40 backdrop-blur-[2px]", "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",
"data-[state=open]:animate-in data-[state=closed]:animate-out",
"data-[state=closed]:fade-out-0 data-[state=open]:fade-in-0",
"duration-200",
className className
)} )}
{...props} {...props}
@@ -60,32 +57,13 @@ function DialogContent({
<DialogPrimitive.Content <DialogPrimitive.Content
data-slot="dialog-content" data-slot="dialog-content"
className={cn( className={cn(
// Base styles "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",
"fixed top-[50%] left-[50%] z-50 w-full",
"max-w-[calc(100%-2rem)] translate-x-[-50%] translate-y-[-50%]",
"grid gap-4 p-6",
// Refined visual treatment
"bg-surface-0 rounded-2xl border border-border-subtle shadow-dialog",
// Entry/exit animations
"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-[0.98] data-[state=open]:zoom-in-[0.98]",
"data-[state=closed]:slide-out-to-top-[2%] data-[state=open]:slide-in-from-top-[2%]",
"duration-200 sm:max-w-lg",
className className
)} )}
{...props} {...props}
> >
{children} {children}
<DialogPrimitive.Close className={cn( <DialogPrimitive.Close className="ring-offset-background focus:ring-ring data-[state=open]:bg-accent data-[state=open]:text-muted-foreground absolute top-4 right-4 rounded-xs opacity-70 transition-opacity hover:opacity-100 focus:ring-2 focus:ring-offset-2 focus:outline-hidden disabled:pointer-events-none [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4">
"absolute top-4 right-4 rounded-xl p-1.5",
"text-muted-foreground/60 hover:text-foreground",
"hover:bg-interactive-hover",
"transition-all duration-150",
"focus:outline-none focus:ring-2 focus:ring-ring focus:ring-offset-2",
"disabled:pointer-events-none",
"[&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg]:size-4"
)}>
<XIcon /> <XIcon />
<span className="sr-only">Close</span> <span className="sr-only">Close</span>
</DialogPrimitive.Close> </DialogPrimitive.Close>
@@ -124,10 +102,7 @@ function DialogTitle({
return ( return (
<DialogPrimitive.Title <DialogPrimitive.Title
data-slot="dialog-title" data-slot="dialog-title"
className={cn( className={cn("text-lg leading-none font-semibold", className)}
"text-xl font-semibold tracking-tight leading-tight",
className
)}
{...props} {...props}
/> />
) )
@@ -140,10 +115,7 @@ function DialogDescription({
return ( return (
<DialogPrimitive.Description <DialogPrimitive.Description
data-slot="dialog-description" data-slot="dialog-description"
className={cn( className={cn("text-muted-foreground text-sm", className)}
"text-sm text-muted-foreground leading-relaxed",
className
)}
{...props} {...props}
/> />
) )

View File

@@ -8,30 +8,9 @@ function Input({ className, type, ...props }: React.ComponentProps<"input">) {
type={type} type={type}
data-slot="input" data-slot="input"
className={cn( className={cn(
// Base styles "file:text-foreground placeholder:text-muted-foreground selection:bg-primary selection:text-primary-foreground dark:bg-input/30 border-input flex h-9 w-full min-w-0 rounded-md border bg-transparent px-3 py-1 text-base shadow-xs transition-[color,box-shadow] outline-none file:inline-flex file:h-7 file:border-0 file:bg-transparent file:text-sm file:font-medium disabled:pointer-events-none disabled:cursor-not-allowed disabled:opacity-50 md:text-sm",
"flex h-10 w-full min-w-0 rounded-xl px-3.5 py-2", "focus-visible:border-ring focus-visible:ring-ring/50 focus-visible:ring-[3px]",
"border border-border-subtle bg-surface-1", "aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40 aria-invalid:border-destructive",
"text-sm text-foreground",
// Placeholder
"placeholder:text-muted-foreground/60",
// Selection
"selection:bg-primary selection:text-primary-foreground",
// Transitions
"transition-all duration-150 ease-out",
// Hover state
"hover:border-border-default",
// Focus state - refined ring
"focus:outline-none focus:border-primary focus:ring-2 focus:ring-primary/10",
// File input
"file:text-foreground file:inline-flex file:h-7 file:border-0",
"file:bg-transparent file:text-sm file:font-medium",
// Disabled
"disabled:pointer-events-none disabled:cursor-not-allowed disabled:opacity-50",
// Invalid state
"aria-invalid:border-destructive aria-invalid:ring-destructive/20",
"dark:aria-invalid:ring-destructive/40",
// Dark mode background
"dark:bg-surface-1",
className className
)} )}
{...props} {...props}

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

@@ -1,18 +1,16 @@
"use client" "use client"
import type React from "react" import type React from "react"
import { createContext, useContext, useEffect, useRef, useState } from "react" import { createContext, useContext, useRef, useState } from "react"
import type { DrawIoEmbedRef } from "react-drawio" import type { DrawIoEmbedRef } from "react-drawio"
import { STORAGE_DIAGRAM_XML_KEY } from "@/components/chat-panel"
import type { ExportFormat } from "@/components/save-dialog" import type { ExportFormat } from "@/components/save-dialog"
import { getApiEndpoint } from "@/lib/base-path" import { extractDiagramXML } from "../lib/utils"
import { extractDiagramXML, validateAndFixXml } from "../lib/utils"
interface DiagramContextType { interface DiagramContextType {
chartXML: string chartXML: string
latestSvg: string latestSvg: string
diagramHistory: { svg: string; xml: string }[] diagramHistory: { svg: string; xml: string }[]
loadDiagram: (chart: string, skipValidation?: boolean) => string | null loadDiagram: (chart: string) => void
handleExport: () => void handleExport: () => void
handleExportWithoutHistory: () => void handleExportWithoutHistory: () => void
resolverRef: React.Ref<((value: string) => void) | null> resolverRef: React.Ref<((value: string) => void) | null>
@@ -24,12 +22,6 @@ interface DiagramContextType {
format: ExportFormat, format: ExportFormat,
sessionId?: string, sessionId?: string,
) => void ) => void
saveDiagramToStorage: () => Promise<void>
isDrawioReady: boolean
onDrawioLoad: () => void
resetDrawioReady: () => void
showSaveDialog: boolean
setShowSaveDialog: (show: boolean) => void
} }
const DiagramContext = createContext<DiagramContextType | undefined>(undefined) const DiagramContext = createContext<DiagramContextType | undefined>(undefined)
@@ -40,73 +32,10 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
const [diagramHistory, setDiagramHistory] = useState< const [diagramHistory, setDiagramHistory] = useState<
{ svg: string; xml: string }[] { 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 drawioRef = useRef<DrawIoEmbedRef | null>(null)
const resolverRef = useRef<((value: string) => void) | null>(null) const resolverRef = useRef<((value: string) => void) | null>(null)
// Track if we're expecting an export for history (user-initiated) // Track if we're expecting an export for history (user-initiated)
const expectHistoryExportRef = useRef<boolean>(false) 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])
// Track if we're expecting an export for file save (stores raw export data) // Track if we're expecting an export for file save (stores raw export data)
const saveResolverRef = useRef<{ const saveResolverRef = useRef<{
resolver: ((data: string) => void) | null resolver: ((data: string) => void) | null
@@ -132,66 +61,12 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
} }
} }
// Save current diagram to localStorage (used before theme/UI changes) const loadDiagram = (chart: string) => {
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)
if (drawioRef.current) { if (drawioRef.current) {
drawioRef.current.load({ drawioRef.current.load({
xml: xmlToLoad, xml: chart,
}) })
} }
return null
} }
const handleDiagramExport = (data: any) => { const handleDiagramExport = (data: any) => {
@@ -212,20 +87,14 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
setLatestSvg(data.data) setLatestSvg(data.data)
// Only add to history if this was a user-initiated export // 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) { if (expectHistoryExportRef.current) {
setDiagramHistory((prev) => { setDiagramHistory((prev) => [
const newHistory = [ ...prev,
...prev, {
{ svg: data.data,
svg: data.data, xml: extractedXML,
xml: extractedXML, },
}, ])
]
// Keep only the last MAX_HISTORY_SIZE entries (circular buffer)
return newHistory.slice(-MAX_HISTORY_SIZE)
})
expectHistoryExportRef.current = false expectHistoryExportRef.current = false
} }
@@ -237,8 +106,8 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
const clearDiagram = () => { 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>` 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)
loadDiagram(emptyDiagram, true) setChartXML(emptyDiagram)
setLatestSvg("") setLatestSvg("")
setDiagramHistory([]) setDiagramHistory([])
} }
@@ -273,9 +142,6 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
fileContent = xmlContent fileContent = xmlContent
mimeType = "application/xml" mimeType = "application/xml"
extension = ".drawio" extension = ".drawio"
// Save to localStorage when user manually saves
localStorage.setItem(STORAGE_DIAGRAM_XML_KEY, xmlContent)
} else if (format === "png") { } else if (format === "png") {
// PNG data comes as base64 data URL // PNG data comes as base64 data URL
fileContent = exportData fileContent = exportData
@@ -330,7 +196,7 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
sessionId?: string, sessionId?: string,
) => { ) => {
try { try {
await fetch(getApiEndpoint("/api/log-save"), { await fetch("/api/log-save", {
method: "POST", method: "POST",
headers: { "Content-Type": "application/json" }, headers: { "Content-Type": "application/json" },
body: JSON.stringify({ filename, format, sessionId }), body: JSON.stringify({ filename, format, sessionId }),
@@ -354,12 +220,6 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
handleDiagramExport, handleDiagramExport,
clearDiagram, clearDiagram,
saveDiagramToFile, saveDiagramToFile,
saveDiagramToStorage,
isDrawioReady,
onDrawioLoad,
resetDrawioReady,
showSaveDialog,
setShowSaveDialog,
}} }}
> >
{children} {children}

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]

141
docs/ai-providers.md Normal file
View File

@@ -0,0 +1,141 @@
# AI Provider Configuration
This guide explains how to configure different AI model providers for next-ai-draw-io.
## Quick Start
1. Copy `.env.example` to `.env.local`
2. Set your API key for your chosen provider
3. Set `AI_MODEL` to your desired model
4. Run `npm run dev`
## Supported Providers
### Google Gemini
```bash
GOOGLE_GENERATIVE_AI_API_KEY=your_api_key
AI_MODEL=gemini-2.0-flash
```
Optional custom endpoint:
```bash
GOOGLE_BASE_URL=https://your-custom-endpoint
```
### OpenAI
```bash
OPENAI_API_KEY=your_api_key
AI_MODEL=gpt-4o
```
Optional custom endpoint (for OpenAI-compatible services):
```bash
OPENAI_BASE_URL=https://your-custom-endpoint/v1
```
### Anthropic
```bash
ANTHROPIC_API_KEY=your_api_key
AI_MODEL=claude-sonnet-4-5-20250514
```
Optional custom endpoint:
```bash
ANTHROPIC_BASE_URL=https://your-custom-endpoint
```
### DeepSeek
```bash
DEEPSEEK_API_KEY=your_api_key
AI_MODEL=deepseek-chat
```
Optional custom endpoint:
```bash
DEEPSEEK_BASE_URL=https://your-custom-endpoint
```
### Azure OpenAI
```bash
AZURE_API_KEY=your_api_key
AI_MODEL=your-deployment-name
```
Optional custom endpoint:
```bash
AZURE_BASE_URL=https://your-resource.openai.azure.com
```
### AWS Bedrock
```bash
AWS_REGION=us-west-2
AWS_ACCESS_KEY_ID=your_access_key_id
AWS_SECRET_ACCESS_KEY=your_secret_access_key
AI_MODEL=anthropic.claude-sonnet-4-5-20250514-v1:0
```
Note: On AWS (Amplify, Lambda, EC2 with IAM role), credentials are automatically obtained from the IAM role.
### OpenRouter
```bash
OPENROUTER_API_KEY=your_api_key
AI_MODEL=anthropic/claude-sonnet-4
```
Optional custom endpoint:
```bash
OPENROUTER_BASE_URL=https://your-custom-endpoint
```
### Ollama (Local)
```bash
AI_PROVIDER=ollama
AI_MODEL=llama3.2
```
Optional custom URL:
```bash
OLLAMA_BASE_URL=http://localhost:11434
```
## 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`.
If you configure **multiple** API keys, you must explicitly set `AI_PROVIDER`:
```bash
AI_PROVIDER=google # or: openai, anthropic, deepseek, azure, bedrock, openrouter, ollama
```
## Model Capability Requirements
This task requires exceptionally strong model capabilities, as it involves generating long-form text with strict formatting constraints (draw.io XML).
**Recommended models**:
- Claude Sonnet 4.5 / Opus 4.5
**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.
## Recommendations
- **Best experience**: Use models with vision support (GPT-4o, Claude, Gemini) for image-to-diagram features
- **Budget-friendly**: DeepSeek offers competitive pricing
- **Privacy**: Use Ollama for fully local, offline operation (requires powerful hardware)
- **Flexibility**: OpenRouter provides access to many models through a single API

View File

@@ -1,244 +0,0 @@
# Next AI Draw.io
<div align="center">
**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](../ja/README_JA.md)
[![TrendShift](https://trendshift.io/api/badge/repositories/15449)](https://next-ai-drawio.jiang.jp/)
[![License: Apache 2.0](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![Next.js](https://img.shields.io/badge/Next.js-16.x-black)](https://nextjs.org/)
[![React](https://img.shields.io/badge/React-19.x-61dafb)](https://react.dev/)
[![Sponsor](https://img.shields.io/badge/Sponsor-❤-ea4aaa)](https://github.com/sponsors/DayuanJiang)
[![Live Demo](../../public/live-demo-button.svg)](https://next-ai-drawio.jiang.jp/)
</div>
一个集成了AI功能的Next.js网页应用与draw.io图表无缝结合。通过自然语言命令和AI辅助可视化来创建、修改和增强图表。
> 注:感谢 <img src="https://raw.githubusercontent.com/DayuanJiang/next-ai-draw-io/main/public/doubao-color.png" alt="" height="20" /> [字节跳动豆包](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) 的赞助支持,本项目的 Demo 现已接入强大的 K2-thinking 模型!
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)
- [Claude Code CLI](#claude-code-cli)
- [快速开始](#快速开始)
- [在线试用](#在线试用)
- [桌面应用](#桌面应用)
- [使用Docker运行](#使用docker运行)
- [安装](#安装)
- [部署](#部署)
- [部署到腾讯云EdgeOne Pages](#部署到腾讯云edgeone-pages)
- [部署到Vercel推荐](#部署到vercel推荐)
- [部署到Cloudflare Workers](#部署到cloudflare-workers)
- [多提供商支持](#多提供商支持)
- [工作原理](#工作原理)
- [支持与联系](#支持与联系)
- [Star历史](#star历史)
## 示例
以下是一些示例提示词及其生成的图表:
<div align="center">
<table width="100%">
<tr>
<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" />
</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" />
</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" />
</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" />
</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" />
</td>
</tr>
</table>
</div>
## 功能特性
- **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
## MCP服务器预览
> **预览功能**:此功能为实验性功能,可能不稳定。
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。
```json
{
"mcpServers": {
"drawio": {
"command": "npx",
"args": ["@next-ai-drawio/mcp-server@latest"]
}
}
}
```
### Claude Code CLI
```bash
claude mcp add drawio -- npx @next-ai-drawio/mcp-server@latest
```
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"
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。
## 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/)
> **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。
### 桌面应用
从 [Releases 页面](https://github.com/DayuanJiang/next-ai-draw-io/releases) 下载适用于您平台的原生桌面应用:
支持的平台Windows、macOS、Linux。
### 使用Docker运行
[查看 Docker 指南](./docker.md)
### 安装
1. 克隆仓库:
```bash
git clone https://github.com/DayuanJiang/next-ai-draw-io
cd next-ai-draw-io
npm install
cp env.example .env.local
```
详细设置说明请参阅[提供商配置指南](./ai-providers.md)。
2. 运行开发服务器:
```bash
npm run dev
```
3. 在浏览器中打开 [http://localhost:6002](http://localhost:6002) 查看应用。
## 部署
### 部署到腾讯云EdgeOne Pages
您可以通过[腾讯云EdgeOne Pages](https://pages.edgeone.ai/zh)一键部署。
直接点击此按钮一键部署:
[![使用 EdgeOne Pages 部署](https://cdnstatic.tencentcs.com/edgeone/pages/deploy.svg)](https://console.cloud.tencent.com/edgeone/pages/new?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
查看[腾讯云EdgeOne Pages文档](https://pages.edgeone.ai/zh/document/product-introduction)了解更多详情。
同时通过腾讯云EdgeOne Pages部署也会获得[每日免费的DeepSeek模型额度](https://edgeone.cloud.tencent.com/pages/document/169925463311781888)。
### 部署到Vercel推荐
[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
部署Next.js应用最简单的方式是使用Next.js创建者提供的[Vercel平台](https://vercel.com/new)。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。
查看[Next.js部署文档](https://nextjs.org/docs/app/building-your-application/deploying)了解更多详情。
### 部署到Cloudflare Workers
[查看 Cloudflare 部署指南](./cloudflare-deploy.md)
## 多提供商支持
- [字节跳动豆包](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)
- AWS Bedrock默认
- OpenAI
- Anthropic
- Google AI
- Azure OpenAI
- Ollama
- OpenRouter
- DeepSeek
- SiliconFlow
- SGLang
- Vercel AI Gateway
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-5.1、Gemini 3 Pro 和 DeepSeek V3.2/R1。
注意:`claude` 系列已在带有 AWS、Azure、GCP 等云架构 Logo 的 draw.io 图表上进行训练,因此如果您想创建云架构图,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。
## 支持与联系
**特别感谢[字节跳动豆包](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)赞助演示站点的 API Token 使用!** 注册火山引擎 ARK 平台即可获得50万免费Token
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!
如需支持或咨询请在GitHub仓库上提交issue或联系维护者
- 邮箱me[at]jiang.jp
## Star历史
[![Star History Chart](https://api.star-history.com/svg?repos=DayuanJiang/next-ai-draw-io&type=date&legend=top-left)](https://www.star-history.com/#DayuanJiang/next-ai-draw-io&type=date&legend=top-left)
---

View File

@@ -1,236 +0,0 @@
# AI 提供商配置
本指南介绍如何为 next-ai-draw-io 配置不同的 AI 模型提供商。
## 快速开始
1.`.env.example` 复制为 `.env.local`
2. 设置所选提供商的 API 密钥
3.`AI_MODEL` 设置为所需的模型
4. 运行 `npm run dev`
## 支持的提供商
### 豆包 (字节跳动火山引擎)
> **免费 Token**:在 [火山引擎 ARK 平台](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) 注册,即可获得所有模型 50 万免费 Token
```bash
DOUBAO_API_KEY=your_api_key
AI_MODEL=doubao-seed-1-8-251215 # 或其他豆包模型
```
### Google Gemini
```bash
GOOGLE_GENERATIVE_AI_API_KEY=your_api_key
AI_MODEL=gemini-2.0-flash
```
可选的自定义端点:
```bash
GOOGLE_BASE_URL=https://your-custom-endpoint
```
### OpenAI
```bash
OPENAI_API_KEY=your_api_key
AI_MODEL=gpt-4o
```
可选的自定义端点(用于 OpenAI 兼容服务):
```bash
OPENAI_BASE_URL=https://your-custom-endpoint/v1
```
### Anthropic
```bash
ANTHROPIC_API_KEY=your_api_key
AI_MODEL=claude-sonnet-4-5-20250514
```
可选的自定义端点:
```bash
ANTHROPIC_BASE_URL=https://your-custom-endpoint
```
### DeepSeek
```bash
DEEPSEEK_API_KEY=your_api_key
AI_MODEL=deepseek-chat
```
可选的自定义端点:
```bash
DEEPSEEK_BASE_URL=https://your-custom-endpoint
```
### SiliconFlow (OpenAI 兼容)
```bash
SILICONFLOW_API_KEY=your_api_key
AI_MODEL=deepseek-ai/DeepSeek-V3 # 示例;使用任何 SiliconFlow 模型 ID
```
可选的自定义端点(默认为推荐域名):
```bash
SILICONFLOW_BASE_URL=https://api.siliconflow.com/v1 # 或 https://api.siliconflow.cn/v1
```
### SGLang
```bash
SGLANG_API_KEY=your_api_key
AI_MODEL=your_model_id
```
可选的自定义端点:
```bash
SGLANG_BASE_URL=https://your-custom-endpoint/v1
```
### Azure OpenAI
```bash
AZURE_API_KEY=your_api_key
AZURE_RESOURCE_NAME=your-resource-name # 必填:您的 Azure 资源名称
AI_MODEL=your-deployment-name
```
或者使用自定义端点代替资源名称:
```bash
AZURE_API_KEY=your_api_key
AZURE_BASE_URL=https://your-resource.openai.azure.com # AZURE_RESOURCE_NAME 的替代方案
AI_MODEL=your-deployment-name
```
可选的推理配置:
```bash
AZURE_REASONING_EFFORT=low # 可选low, medium, high
AZURE_REASONING_SUMMARY=detailed # 可选none, brief, detailed
```
### AWS Bedrock
```bash
AWS_REGION=us-west-2
AWS_ACCESS_KEY_ID=your_access_key_id
AWS_SECRET_ACCESS_KEY=your_secret_access_key
AI_MODEL=anthropic.claude-sonnet-4-5-20250514-v1:0
```
注意:在 AWS 环境Lambda、带有 IAM 角色的 EC2凭证会自动从 IAM 角色获取。
### OpenRouter
```bash
OPENROUTER_API_KEY=your_api_key
AI_MODEL=anthropic/claude-sonnet-4
```
可选的自定义端点:
```bash
OPENROUTER_BASE_URL=https://your-custom-endpoint
```
### Ollama (本地)
```bash
AI_PROVIDER=ollama
AI_MODEL=llama3.2
```
可选的自定义 URL
```bash
OLLAMA_BASE_URL=http://localhost:11434
```
### Vercel AI Gateway
Vercel AI Gateway 通过单个 API 密钥提供对多个 AI 提供商的统一访问。这简化了身份验证,让您无需管理多个 API 密钥即可在不同提供商之间切换。
**基本用法Vercel 托管网关):**
```bash
AI_GATEWAY_API_KEY=your_gateway_api_key
AI_MODEL=openai/gpt-4o
```
**自定义网关 URL用于本地开发或自托管网关**
```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
```
模型格式使用 `provider/model` 语法:
- `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
**配置说明:**
- 如果未设置 `AI_GATEWAY_BASE_URL`,则使用默认的 Vercel Gateway URL (`https://ai-gateway.vercel.sh/v1/ai`)
- 自定义基础 URL 适用于:
- 使用自定义网关实例进行本地开发
- 自托管 AI Gateway 部署
- 企业代理配置
- 当使用自定义基础 URL 时,必须同时提供 `AI_GATEWAY_API_KEY`
从 [Vercel AI Gateway 仪表板](https://vercel.com/ai-gateway) 获取您的 API 密钥。
## 自动检测
如果您只配置了**一个**提供商的 API 密钥,系统将自动检测并使用该提供商。无需设置 `AI_PROVIDER`
如果您配置了**多个** API 密钥,则必须显式设置 `AI_PROVIDER`
```bash
AI_PROVIDER=google # 或openai, anthropic, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang
```
## 模型能力要求
此任务对模型能力要求极高因为它涉及生成具有严格格式约束draw.io XML的长文本。
**推荐模型**
- Claude Sonnet 4.5 / Opus 4.5
**关于 Ollama 的说明**:虽然支持将 Ollama 作为提供商,但除非您在本地运行像 DeepSeek R1 或 Qwen3-235B 这样的高性能模型,否则对于此用例通常不太实用。
## 温度设置 (Temperature)
您可以通过环境变量选择性地配置温度:
```bash
TEMPERATURE=0 # 输出更具确定性(推荐用于图表)
```
**重要提示**:对于不支持温度设置的模型(例如以下模型),请勿设置 `TEMPERATURE`
- GPT-5.1 和其他推理模型
- 某些专用模型
未设置时,模型将使用其默认行为。
## 推荐
- **最佳体验**使用支持视觉的模型GPT-4o, Claude, Gemini以获得图像转图表功能
- **经济实惠**DeepSeek 提供具有竞争力的价格
- **隐私保护**:使用 Ollama 进行完全本地、离线的操作(需要强大的硬件支持)
- **灵活性**OpenRouter 通过单一 API 提供对众多模型的访问

View File

@@ -1,267 +0,0 @@
# 部署到 Cloudflare Workers
本项目可以通过 **OpenNext 适配器** 部署为 **Cloudflare Worker**,为您提供:
- 全球边缘部署
- 极低延迟
- 免费的 `workers.dev` 域名托管
- 通过 R2 实现完整的 Next.js ISR 支持(可选)
> **Windows 用户重要提示:** OpenNext 和 Wrangler 在 **原生 Windows 环境下并不完全可靠**。建议方案:
>
> - 使用 **GitHub Codespaces**(完美运行)
> - 或者使用 **WSL (Linux)**
>
> 纯 Windows 构建可能会因为 WASM 文件路径问题而失败。
---
## 前置条件
1. 一个 **Cloudflare 账户**(免费版即可满足基本部署需求)
2. **Node.js 18+**
3. 安装 **Wrangler CLI**(作为开发依赖安装即可):
```bash
npm install -D wrangler
```
4. 登录 Cloudflare
```bash
npx wrangler login
```
> **注意:** 只有在启用 R2 进行 ISR 缓存时才需要绑定支付方式。基本的 Workers 部署是免费的。
---
## 第一步 — 安装依赖
```bash
npm install
```
---
## 第二步 — 配置环境变量
Cloudflare 在本地测试时使用不同的文件。
### 1) 创建 `.dev.vars`(用于 Cloudflare 本地调试 + 部署)
```bash
cp env.example .dev.vars
```
填入您的 API 密钥和配置信息。
### 2) 确保 `.env.local` 也存在(用于常规 Next.js 开发)
```bash
cp env.example .env.local
```
在此处填入相同的值。
---
## 第三步 — 选择部署类型
### 选项 A不使用 R2 部署(简单,免费)
如果您不需要 ISR 缓存,可以选择不使用 R2 进行部署:
**1. 使用简单的 `open-next.config.ts`**
```ts
import { defineCloudflareConfig } from "@opennextjs/cloudflare/config"
export default defineCloudflareConfig({})
```
**2. 使用简单的 `wrangler.jsonc`(不包含 r2_buckets**
```jsonc
{
"$schema": "node_modules/wrangler/config-schema.json",
"main": ".open-next/worker.js",
"name": "next-ai-draw-io-worker",
"compatibility_date": "2025-12-08",
"compatibility_flags": ["nodejs_compat", "global_fetch_strictly_public"],
"assets": {
"directory": ".open-next/assets",
"binding": "ASSETS"
},
"services": [
{
"binding": "WORKER_SELF_REFERENCE",
"service": "next-ai-draw-io-worker"
}
]
}
```
直接跳至 **第四步**
---
### 选项 B使用 R2 部署(完整的 ISR 支持)
R2 开启了 **增量静态再生 (ISR)** 缓存功能。需要在您的 Cloudflare 账户中绑定支付方式。
**1. 在 Cloudflare 控制台中创建 R2 存储桶:**
- 进入 **Storage & Databases → R2**
- 点击 **Create bucket**
- 命名为:`next-inc-cache`
**2. 配置 `open-next.config.ts`**
```ts
import { defineCloudflareConfig } from "@opennextjs/cloudflare/config"
import r2IncrementalCache from "@opennextjs/cloudflare/overrides/incremental-cache/r2-incremental-cache"
export default defineCloudflareConfig({
incrementalCache: r2IncrementalCache,
})
```
**3. 配置 `wrangler.jsonc`(包含 R2**
```jsonc
{
"$schema": "node_modules/wrangler/config-schema.json",
"main": ".open-next/worker.js",
"name": "next-ai-draw-io-worker",
"compatibility_date": "2025-12-08",
"compatibility_flags": ["nodejs_compat", "global_fetch_strictly_public"],
"assets": {
"directory": ".open-next/assets",
"binding": "ASSETS"
},
"r2_buckets": [
{
"binding": "NEXT_INC_CACHE_R2_BUCKET",
"bucket_name": "next-inc-cache"
}
],
"services": [
{
"binding": "WORKER_SELF_REFERENCE",
"service": "next-ai-draw-io-worker"
}
]
}
```
> **重要提示:** `bucket_name` 必须与您在 Cloudflare 控制台中创建的名称完全一致。
---
## 第四步 — 注册 workers.dev 子域名(仅首次需要)
在首次部署之前,您需要一个 workers.dev 子域名。
**选项 1通过 Cloudflare 控制台(推荐)**
访问https://dash.cloudflare.com → Workers & Pages → Overview → Set up a subdomain
**选项 2在部署过程中**
运行 `npm run deploy`Wrangler 可能会提示:
```
Would you like to register a workers.dev subdomain? (Y/n)
```
输入 `Y` 并选择一个子域名。
> **注意:** 在 CI/CD 或非交互式环境中,该提示不会出现。请先通过控制台进行注册。
---
## 第五步 — 部署到 Cloudflare
```bash
npm run deploy
```
该脚本执行的操作:
- 构建 Next.js 应用
- 通过 OpenNext 将其转换为 Cloudflare Worker
- 上传静态资源
- 发布 Worker
您的应用将可通过以下地址访问:
```
https://<worker-name>.<your-subdomain>.workers.dev
```
---
## 常见问题与修复
### `You need to register a workers.dev subdomain`
**原因:** 您的账户尚未注册 workers.dev 子域名。
**修复:** 前往 https://dash.cloudflare.com → Workers & Pages → Set up a subdomain。
---
### `Please enable R2 through the Cloudflare Dashboard`
**原因:** wrangler.jsonc 中配置了 R2但您的账户尚未启用该功能。
**修复:** 启用 R2需要支付方式或使用选项 A不使用 R2 部署)。
---
### `No R2 binding "NEXT_INC_CACHE_R2_BUCKET" found`
**原因:** `wrangler.jsonc` 中缺少 `r2_buckets` 配置。
**修复:** 添加 `r2_buckets` 部分或切换到选项 A不使用 R2
---
### `Can't set compatibility date in the future`
**原因:** wrangler 配置中的 `compatibility_date` 设置为了未来的日期。
**修复:**`compatibility_date` 修改为今天或更早的日期。
---
### Windows 错误:`resvg.wasm?module` (ENOENT)
**原因:** Windows 文件名不能包含 `?`,但某个 wasm 资源文件名中使用了 `?module`
**修复:** 在 Linux 环境WSL、Codespaces 或 CI上进行构建/部署。
---
## 可选:本地预览
部署前在本地预览 Worker
```bash
npm run preview
```
---
## 总结
| 功能 | 不使用 R2 | 使用 R2 |
|---------|------------|---------|
| 成本 | 免费 | 需要绑定支付方式 |
| ISR 缓存 | 无 | 有 |
| 静态页面 | 支持 | 支持 |
| API 路由 | 支持 | 支持 |
| 配置复杂度 | 简单 | 中等 |
测试或简单应用请选择 **不使用 R2**。需要 ISR 缓存的生产环境应用请选择 **使用 R2**

View File

@@ -1,29 +0,0 @@
# 使用 Docker 运行
如果您只是想在本地运行,最好的方式是使用 Docker。
首先,如果您尚未安装 Docker请先安装[获取 Docker](https://docs.docker.com/get-docker/)
然后运行:
```bash
docker run -d -p 3000:3000 \
-e AI_PROVIDER=openai \
-e AI_MODEL=gpt-4o \
-e OPENAI_API_KEY=your_api_key \
ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
或者使用环境变量文件:
```bash
cp env.example .env
# 编辑 .env 文件并填入您的配置
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)。
请将环境变量替换为您首选的 AI 提供商配置。查看 [AI 提供商](./ai-providers.md) 了解可用选项。
> **离线部署:** 如果无法访问 `embed.diagrams.net`,请参阅 [离线部署](./offline-deployment.md) 了解配置选项。

View File

@@ -1,38 +0,0 @@
# 离线部署
通过自托管 draw.io 来替代 `embed.diagrams.net`,从而离线部署 Next AI Draw.io。
**注意:** `NEXT_PUBLIC_DRAWIO_BASE_URL` 是一个**构建时**变量。修改它需要重新构建 Docker 镜像。
## Docker Compose 设置
1. 克隆仓库并在 `.env` 文件中定义 API 密钥。
2. 创建 `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. 运行 `docker compose up -d` 并打开 `http://localhost:3000`
## 配置与重要警告
**`NEXT_PUBLIC_DRAWIO_BASE_URL` 必须是用户浏览器可访问的地址。**
| 场景 | URL 值 |
|----------|-----------|
| 本地主机 (Localhost) | `http://localhost:8080` |
| 远程/服务器 | `http://YOUR_SERVER_IP:8080` |
**切勿使用** Docker 内部别名(如 `http://drawio:8080`),因为浏览器无法解析它们。

View File

@@ -1,236 +0,0 @@
# AI Provider Configuration
This guide explains how to configure different AI model providers for next-ai-draw-io.
## Quick Start
1. Copy `.env.example` to `.env.local`
2. Set your API key for your chosen provider
3. Set `AI_MODEL` to your desired model
4. Run `npm run dev`
## Supported Providers
### Doubao (ByteDance Volcengine)
> **Free tokens**: Register on the [Volcengine ARK platform](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) to get 500K free tokens for all models!
```bash
DOUBAO_API_KEY=your_api_key
AI_MODEL=doubao-seed-1-8-251215 # or other Doubao model
```
### Google Gemini
```bash
GOOGLE_GENERATIVE_AI_API_KEY=your_api_key
AI_MODEL=gemini-2.0-flash
```
Optional custom endpoint:
```bash
GOOGLE_BASE_URL=https://your-custom-endpoint
```
### OpenAI
```bash
OPENAI_API_KEY=your_api_key
AI_MODEL=gpt-4o
```
Optional custom endpoint (for OpenAI-compatible services):
```bash
OPENAI_BASE_URL=https://your-custom-endpoint/v1
```
### Anthropic
```bash
ANTHROPIC_API_KEY=your_api_key
AI_MODEL=claude-sonnet-4-5-20250514
```
Optional custom endpoint:
```bash
ANTHROPIC_BASE_URL=https://your-custom-endpoint
```
### DeepSeek
```bash
DEEPSEEK_API_KEY=your_api_key
AI_MODEL=deepseek-chat
```
Optional custom endpoint:
```bash
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
```
### SGLang
```bash
SGLANG_API_KEY=your_api_key
AI_MODEL=your_model_id
```
Optional custom endpoint:
```bash
SGLANG_BASE_URL=https://your-custom-endpoint/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:
```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
```
### AWS Bedrock
```bash
AWS_REGION=us-west-2
AWS_ACCESS_KEY_ID=your_access_key_id
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.
### OpenRouter
```bash
OPENROUTER_API_KEY=your_api_key
AI_MODEL=anthropic/claude-sonnet-4
```
Optional custom endpoint:
```bash
OPENROUTER_BASE_URL=https://your-custom-endpoint
```
### Ollama (Local)
```bash
AI_PROVIDER=ollama
AI_MODEL=llama3.2
```
Optional custom URL:
```bash
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`.
If you configure **multiple** API keys, you must explicitly set `AI_PROVIDER`:
```bash
AI_PROVIDER=google # or: openai, anthropic, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang
```
## Model Capability Requirements
This task requires exceptionally strong model capabilities, as it involves generating long-form text with strict formatting constraints (draw.io XML).
**Recommended models**:
- Claude Sonnet 4.5 / Opus 4.5
**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
- **Budget-friendly**: DeepSeek offers competitive pricing
- **Privacy**: Use Ollama for fully local, offline operation (requires powerful hardware)
- **Flexibility**: OpenRouter provides access to many models through a single API

View File

@@ -1,267 +0,0 @@
# Deploy on Cloudflare Workers
This project can be deployed as a **Cloudflare Worker** using the **OpenNext adapter**, giving you:
- Global edge deployment
- Very low latency
- Free `workers.dev` hosting
- Full Next.js ISR support via R2 (optional)
> **Important Windows Note:** OpenNext and Wrangler are **not fully reliable on native Windows**. Recommended options:
>
> - Use **GitHub Codespaces** (works perfectly)
> - OR use **WSL (Linux)**
>
> Pure Windows builds may fail due to WASM file path issues.
---
## Prerequisites
1. A **Cloudflare account** (free tier works for basic deployment)
2. **Node.js 18+**
3. **Wrangler CLI** installed (dev dependency is fine):
```bash
npm install -D wrangler
```
4. Cloudflare login:
```bash
npx wrangler login
```
> **Note:** A payment method is only required if you want to enable R2 for ISR caching. Basic Workers deployment is free.
---
## Step 1 — Install dependencies
```bash
npm install
```
---
## Step 2 — Configure environment variables
Cloudflare uses a different file for local testing.
### 1) Create `.dev.vars` (for Cloudflare local + deploy)
```bash
cp env.example .dev.vars
```
Fill in your API keys and configuration.
### 2) Make sure `.env.local` also exists (for regular Next.js dev)
```bash
cp env.example .env.local
```
Fill in the same values there.
---
## Step 3 — Choose your deployment type
### Option A: Deploy WITHOUT R2 (Simple, Free)
If you don't need ISR caching, you can deploy without R2:
**1. Use simple `open-next.config.ts`:**
```ts
import { defineCloudflareConfig } from "@opennextjs/cloudflare/config"
export default defineCloudflareConfig({})
```
**2. Use simple `wrangler.jsonc` (without r2_buckets):**
```jsonc
{
"$schema": "node_modules/wrangler/config-schema.json",
"main": ".open-next/worker.js",
"name": "next-ai-draw-io-worker",
"compatibility_date": "2025-12-08",
"compatibility_flags": ["nodejs_compat", "global_fetch_strictly_public"],
"assets": {
"directory": ".open-next/assets",
"binding": "ASSETS"
},
"services": [
{
"binding": "WORKER_SELF_REFERENCE",
"service": "next-ai-draw-io-worker"
}
]
}
```
Skip to **Step 4**.
---
### Option B: Deploy WITH R2 (Full ISR Support)
R2 enables **Incremental Static Regeneration (ISR)** caching. Requires a payment method on your Cloudflare account.
**1. Create an R2 bucket** in the Cloudflare Dashboard:
- Go to **Storage & Databases → R2**
- Click **Create bucket**
- Name it: `next-inc-cache`
**2. Configure `open-next.config.ts`:**
```ts
import { defineCloudflareConfig } from "@opennextjs/cloudflare/config"
import r2IncrementalCache from "@opennextjs/cloudflare/overrides/incremental-cache/r2-incremental-cache"
export default defineCloudflareConfig({
incrementalCache: r2IncrementalCache,
})
```
**3. Configure `wrangler.jsonc` (with R2):**
```jsonc
{
"$schema": "node_modules/wrangler/config-schema.json",
"main": ".open-next/worker.js",
"name": "next-ai-draw-io-worker",
"compatibility_date": "2025-12-08",
"compatibility_flags": ["nodejs_compat", "global_fetch_strictly_public"],
"assets": {
"directory": ".open-next/assets",
"binding": "ASSETS"
},
"r2_buckets": [
{
"binding": "NEXT_INC_CACHE_R2_BUCKET",
"bucket_name": "next-inc-cache"
}
],
"services": [
{
"binding": "WORKER_SELF_REFERENCE",
"service": "next-ai-draw-io-worker"
}
]
}
```
> **Important:** The `bucket_name` must exactly match the name you created in the Cloudflare dashboard.
---
## Step 4 — Register a workers.dev subdomain (first-time only)
Before your first deployment, you need a workers.dev subdomain.
**Option 1: Via Cloudflare Dashboard (Recommended)**
Visit: https://dash.cloudflare.com → Workers & Pages → Overview → Set up a subdomain
**Option 2: During deploy**
When you run `npm run deploy`, Wrangler may prompt:
```
Would you like to register a workers.dev subdomain? (Y/n)
```
Type `Y` and choose a subdomain name.
> **Note:** In CI/CD or non-interactive environments, the prompt won't appear. Register via the dashboard first.
---
## Step 5 — Deploy to Cloudflare
```bash
npm run deploy
```
What the script does:
- Builds the Next.js app
- Converts it to a Cloudflare Worker via OpenNext
- Uploads static assets
- Publishes the Worker
Your app will be available at:
```
https://<worker-name>.<your-subdomain>.workers.dev
```
---
## Common issues & fixes
### `You need to register a workers.dev subdomain`
**Cause:** No workers.dev subdomain registered for your account.
**Fix:** Go to https://dash.cloudflare.com → Workers & Pages → Set up a subdomain.
---
### `Please enable R2 through the Cloudflare Dashboard`
**Cause:** R2 is configured in wrangler.jsonc but not enabled on your account.
**Fix:** Either enable R2 (requires payment method) or use Option A (deploy without R2).
---
### `No R2 binding "NEXT_INC_CACHE_R2_BUCKET" found`
**Cause:** `r2_buckets` is missing from `wrangler.jsonc`.
**Fix:** Add the `r2_buckets` section or switch to Option A (without R2).
---
### `Can't set compatibility date in the future`
**Cause:** `compatibility_date` in wrangler config is set to a future date.
**Fix:** Change `compatibility_date` to today or an earlier date.
---
### Windows error: `resvg.wasm?module` (ENOENT)
**Cause:** Windows filenames cannot include `?`, but a wasm asset uses `?module` in its filename.
**Fix:** Build/deploy on Linux (WSL, Codespaces, or CI).
---
## Optional: Preview locally
Preview the Worker locally before deploying:
```bash
npm run preview
```
---
## Summary
| Feature | Without R2 | With R2 |
|---------|------------|---------|
| Cost | Free | Requires payment method |
| ISR Caching | No | Yes |
| Static Pages | Yes | Yes |
| API Routes | Yes | Yes |
| Setup Complexity | Simple | Moderate |
Choose **without R2** for testing or simple apps. Choose **with R2** for production apps that need ISR caching.

View File

@@ -1,29 +0,0 @@
# Run with Docker
If you just want to run it locally, the best way is to use Docker.
First, install Docker if you haven't already: [Get Docker](https://docs.docker.com/get-docker/)
Then run:
```bash
docker run -d -p 3000:3000 \
-e AI_PROVIDER=openai \
-e AI_MODEL=gpt-4o \
-e OPENAI_API_KEY=your_api_key \
ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
Or use an env file:
```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 [AI Providers](./ai-providers.md) for available options.
> **Offline Deployment:** If `embed.diagrams.net` is blocked, see [Offline Deployment](./offline-deployment.md) for configuration options.

View File

@@ -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` |
**Do NOT use** internal Docker aliases like `http://drawio:8080`; the browser cannot resolve them.

View File

@@ -1,245 +0,0 @@
# Next AI Draw.io
<div align="center">
**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](../cn/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/)
[![Sponsor](https://img.shields.io/badge/Sponsor-❤-ea4aaa)](https://github.com/sponsors/DayuanJiang)
[![Live Demo](../../public/live-demo-button.svg)](https://next-ai-drawio.jiang.jp/)
</div>
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。自然言語コマンドとAI支援の可視化により、ダイアグラムを作成、修正、強化できます。
> 注:<img src="https://raw.githubusercontent.com/DayuanJiang/next-ai-draw-io/main/public/doubao-color.png" alt="" height="20" /> [ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) のご支援により、デモサイトに強力な K2-thinking モデルを導入しました!
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)
- [Claude Code CLI](#claude-code-cli)
- [はじめに](#はじめに)
- [オンラインで試す](#オンラインで試す)
- [デスクトップアプリケーション](#デスクトップアプリケーション)
- [Dockerで実行](#dockerで実行)
- [インストール](#インストール)
- [デプロイ](#デプロイ)
- [EdgeOne Pagesへのデプロイ](#edgeone-pagesへのデプロイ)
- [Vercelへのデプロイ推奨](#vercelへのデプロイ推奨)
- [Cloudflare Workersへのデプロイ](#cloudflare-workersへのデプロイ)
- [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)
- [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)
## 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:
<div align="center">
<table width="100%">
<tr>
<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" />
</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" />
</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" />
</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" />
</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" />
</td>
</tr>
</table>
</div>
## 機能
- **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
## MCPサーバープレビュー
> **プレビュー機能**:この機能は実験的であり、安定しない可能性があります。
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。
```json
{
"mcpServers": {
"drawio": {
"command": "npx",
"args": ["@next-ai-drawio/mcp-server@latest"]
}
}
}
```
### Claude Code CLI
```bash
claude mcp add drawio -- npx @next-ai-drawio/mcp-server@latest
```
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」
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
## 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/)
> **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。
### デスクトップアプリケーション
[Releases ページ](https://github.com/DayuanJiang/next-ai-draw-io/releases)からお使いのプラットフォーム用のネイティブデスクトップアプリをダウンロードしてください:
対応プラットフォームWindows、macOS、Linux。
### Dockerで実行
[Docker ガイドを参照](./docker.md)
### インストール
1. リポジトリをクローン:
```bash
git clone https://github.com/DayuanJiang/next-ai-draw-io
cd next-ai-draw-io
npm install
cp env.example .env.local
```
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。
2. 開発サーバーを起動:
```bash
npm run dev
```
3. ブラウザで[http://localhost:6002](http://localhost:6002)を開いてアプリケーションを確認。
## デプロイ
### EdgeOne Pagesへのデプロイ
[Tencent EdgeOne Pages](https://pages.edgeone.ai/)を使用してワンクリックでデプロイできます。
このボタンでデプロイ:
[![Deploy to EdgeOne Pages](https://cdnstatic.tencentcs.com/edgeone/pages/deploy.svg)](https://edgeone.ai/pages/new?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
詳細は[Tencent EdgeOne Pagesドキュメント](https://pages.edgeone.ai/document/deployment-overview)をご覧ください。
また、Tencent EdgeOne Pagesでデプロイすると、[DeepSeekモデルの毎日の無料クォータ](https://pages.edgeone.ai/document/edge-ai)が付与されます。
### Vercelへのデプロイ推奨
[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
Next.jsアプリをデプロイする最も簡単な方法は、Next.jsの作成者による[Vercelプラットフォーム](https://vercel.com/new)を使用することです。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。
詳細は[Next.jsデプロイメントドキュメント](https://nextjs.org/docs/app/building-your-application/deploying)をご覧ください。
### Cloudflare Workersへのデプロイ
[Cloudflare デプロイガイドを参照](./cloudflare-deploy.md)
## マルチプロバイダーサポート
- [ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)
- AWS Bedrockデフォルト
- OpenAI
- Anthropic
- Google AI
- Azure OpenAI
- Ollama
- OpenRouter
- DeepSeek
- SiliconFlow
- SGLang
- Vercel AI Gateway
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-5.1、Gemini 3 Pro、DeepSeek V3.2/R1を推奨します。
注:`claude`シリーズはAWS、Azure、GCPなどのクラウドアーキテクチャロゴ付きのdraw.ioダイアグラムで学習されているため、クラウド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。
## サポート&お問い合わせ
**デモサイトのAPIトークン使用を支援してくださった[ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)に特別な感謝を申し上げます!** ARKプラットフォームに登録すると、50万トークンが無料でもらえます
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!
サポートやお問い合わせについては、GitHubリポジトリでissueを開くか、メンテナーにご連絡ください
- メールme[at]jiang.jp
## スター履歴
[![Star History Chart](https://api.star-history.com/svg?repos=DayuanJiang/next-ai-draw-io&type=date&legend=top-left)](https://www.star-history.com/#DayuanJiang/next-ai-draw-io&type=date&legend=top-left)
---

View File

@@ -1,236 +0,0 @@
# AIプロバイダーの設定
このガイドでは、next-ai-draw-io でさまざまな AI モデルプロバイダーを設定する方法について説明します。
## クイックスタート
1. `.env.example``.env.local` にコピーします
2. 選択したプロバイダーの API キーを設定します
3. `AI_MODEL` を希望のモデルに設定します
4. `npm run dev` を実行します
## 対応プロバイダー
### Doubao (ByteDance Volcengine)
> **無料トークン**: [Volcengine ARK プラットフォーム](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)に登録すると、すべてのモデルで使える50万トークンが無料で入手できます
```bash
DOUBAO_API_KEY=your_api_key
AI_MODEL=doubao-seed-1-8-251215 # または他の Doubao モデル
```
### Google Gemini
```bash
GOOGLE_GENERATIVE_AI_API_KEY=your_api_key
AI_MODEL=gemini-2.0-flash
```
任意のカスタムエンドポイント:
```bash
GOOGLE_BASE_URL=https://your-custom-endpoint
```
### OpenAI
```bash
OPENAI_API_KEY=your_api_key
AI_MODEL=gpt-4o
```
任意のカスタムエンドポイントOpenAI 互換サービス用):
```bash
OPENAI_BASE_URL=https://your-custom-endpoint/v1
```
### Anthropic
```bash
ANTHROPIC_API_KEY=your_api_key
AI_MODEL=claude-sonnet-4-5-20250514
```
任意のカスタムエンドポイント:
```bash
ANTHROPIC_BASE_URL=https://your-custom-endpoint
```
### DeepSeek
```bash
DEEPSEEK_API_KEY=your_api_key
AI_MODEL=deepseek-chat
```
任意のカスタムエンドポイント:
```bash
DEEPSEEK_BASE_URL=https://your-custom-endpoint
```
### SiliconFlow (OpenAI 互換)
```bash
SILICONFLOW_API_KEY=your_api_key
AI_MODEL=deepseek-ai/DeepSeek-V3 # 例; 任意の SiliconFlow モデル ID を使用
```
任意のカスタムエンドポイント(デフォルトは推奨ドメイン):
```bash
SILICONFLOW_BASE_URL=https://api.siliconflow.com/v1 # または https://api.siliconflow.cn/v1
```
### SGLang
```bash
SGLANG_API_KEY=your_api_key
AI_MODEL=your_model_id
```
任意のカスタムエンドポイント:
```bash
SGLANG_BASE_URL=https://your-custom-endpoint/v1
```
### Azure OpenAI
```bash
AZURE_API_KEY=your_api_key
AZURE_RESOURCE_NAME=your-resource-name # 必須: Azure リソース名
AI_MODEL=your-deployment-name
```
またはリソース名の代わりにカスタムエンドポイントを使用:
```bash
AZURE_API_KEY=your_api_key
AZURE_BASE_URL=https://your-resource.openai.azure.com # AZURE_RESOURCE_NAME の代替
AI_MODEL=your-deployment-name
```
任意の推論設定:
```bash
AZURE_REASONING_EFFORT=low # 任意: low, medium, high
AZURE_REASONING_SUMMARY=detailed # 任意: none, brief, detailed
```
### AWS Bedrock
```bash
AWS_REGION=us-west-2
AWS_ACCESS_KEY_ID=your_access_key_id
AWS_SECRET_ACCESS_KEY=your_secret_access_key
AI_MODEL=anthropic.claude-sonnet-4-5-20250514-v1:0
```
注: AWS 上IAM ロールを持つ Lambda や EC2では、認証情報は IAM ロールから自動的に取得されます。
### OpenRouter
```bash
OPENROUTER_API_KEY=your_api_key
AI_MODEL=anthropic/claude-sonnet-4
```
任意のカスタムエンドポイント:
```bash
OPENROUTER_BASE_URL=https://your-custom-endpoint
```
### Ollama (ローカル)
```bash
AI_PROVIDER=ollama
AI_MODEL=llama3.2
```
任意のカスタム URL:
```bash
OLLAMA_BASE_URL=http://localhost:11434
```
### Vercel AI Gateway
Vercel AI Gateway は、単一の API キーで複数の AI プロバイダーへの統合アクセスを提供します。これにより認証が簡素化され、複数の API キーを管理することなくプロバイダーを切り替えることができます。
**基本的な使用法 (Vercel ホストの Gateway):**
```bash
AI_GATEWAY_API_KEY=your_gateway_api_key
AI_MODEL=openai/gpt-4o
```
**カスタム Gateway URL (ローカル開発またはセルフホスト Gateway 用):**
```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
```
モデル形式は `provider/model` 構文を使用します:
- `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
**設定に関する注意点:**
- `AI_GATEWAY_BASE_URL` が設定されていない場合、デフォルトの Vercel Gateway URL (`https://ai-gateway.vercel.sh/v1/ai`) が使用されます
- カスタムベース URL は以下の場合に便利です:
- カスタム Gateway インスタンスを使用したローカル開発
- セルフホスト AI Gateway デプロイメント
- エンタープライズプロキシ設定
- カスタムベース URL を使用する場合、`AI_GATEWAY_API_KEY` も指定する必要があります
[Vercel AI Gateway ダッシュボード](https://vercel.com/ai-gateway)から API キーを取得してください。
## 自動検出
**1つ**のプロバイダーの API キーのみを設定した場合、システムはそのプロバイダーを自動的に検出して使用します。`AI_PROVIDER` を設定する必要はありません。
**複数**の API キーを設定する場合は、`AI_PROVIDER` を明示的に設定する必要があります:
```bash
AI_PROVIDER=google # または: openai, anthropic, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang
```
## モデル性能要件
このタスクは、厳密なフォーマット制約draw.io XMLを伴う長文テキストの生成を含むため、非常に強力なモデル性能が必要です。
**推奨モデル**:
- Claude Sonnet 4.5 / Opus 4.5
**Ollama に関する注意**: Ollama はプロバイダーとしてサポートされていますが、DeepSeek R1 や Qwen3-235B のような高性能モデルをローカルで実行していない限り、このユースケースでは一般的に実用的ではありません。
## Temperature温度設定
環境変数で Temperature を任意に設定できます:
```bash
TEMPERATURE=0 # より決定論的な出力(ダイアグラムに推奨)
```
**重要**: 以下の Temperature 設定をサポートしていないモデルでは、`TEMPERATURE` を未設定のままにしてください:
- GPT-5.1 およびその他の推論モデル
- 一部の特殊なモデル
未設定の場合、モデルはデフォルトの挙動を使用します。
## 推奨事項
- **最高の体験**: 画像からダイアグラムを生成する機能には、ビジョン画像認識をサポートするモデルGPT-4o, Claude, Geminiを使用してください
- **低コスト**: DeepSeek は競争力のある価格を提供しています
- **プライバシー**: 完全にローカルなオフライン操作には Ollama を使用してください(強力なハードウェアが必要です)
- **柔軟性**: OpenRouter は単一の API で多数のモデルへのアクセスを提供します

View File

@@ -1,267 +0,0 @@
# Cloudflare Workers へのデプロイ
このプロジェクトは **OpenNext アダプター** を使用して **Cloudflare Worker** としてデプロイすることができ、以下のメリットがあります:
- グローバルエッジへのデプロイ
- 超低レイテンシー
- 無料の `workers.dev` ホスティング
- R2 を介した完全な Next.js ISR サポート(オプション)
> **Windows ユーザー向けの重要な注意:** OpenNext と Wrangler は、**ネイティブ Windows 環境では完全には信頼できません**。以下の方法を推奨します:
>
> - **GitHub Codespaces** を使用する(完全に動作します)
> - または **WSL (Linux)** を使用する
>
> 純粋な Windows 環境でのビルドは、WASM ファイルパスの問題により失敗する可能性があります。
---
## 前提条件
1. **Cloudflare アカウント**(基本的なデプロイには無料プランで十分です)
2. **Node.js 18以上**
3. **Wrangler CLI** のインストール(開発依存関係で問題ありません):
```bash
npm install -D wrangler
```
4. Cloudflare へのログイン:
```bash
npx wrangler login
```
> **注意:** 支払い方法の登録が必要なのは、ISR キャッシュのために R2 を有効にする場合のみです。基本的な Workers へのデプロイは無料です。
---
## ステップ 1 — 依存関係のインストール
```bash
npm install
```
---
## ステップ 2 — 環境変数の設定
Cloudflare はローカルテスト用に別のファイルを使用します。
### 1) `.dev.vars` の作成Cloudflare ローカルおよびデプロイ用)
```bash
cp env.example .dev.vars
```
API キーと設定を入力してください。
### 2) `.env.local` も存在することを確認(通常の Next.js 開発用)
```bash
cp env.example .env.local
```
同じ値を入力してください。
---
## ステップ 3 — デプロイタイプの選択
### オプション A: R2 なしでのデプロイ(シンプル、無料)
ISR キャッシュが不要な場合は、R2 なしでデプロイできます:
**1. シンプルな `open-next.config.ts` を使用:**
```ts
import { defineCloudflareConfig } from "@opennextjs/cloudflare/config"
export default defineCloudflareConfig({})
```
**2. シンプルな `wrangler.jsonc` を使用r2_buckets なし):**
```jsonc
{
"$schema": "node_modules/wrangler/config-schema.json",
"main": ".open-next/worker.js",
"name": "next-ai-draw-io-worker",
"compatibility_date": "2025-12-08",
"compatibility_flags": ["nodejs_compat", "global_fetch_strictly_public"],
"assets": {
"directory": ".open-next/assets",
"binding": "ASSETS"
},
"services": [
{
"binding": "WORKER_SELF_REFERENCE",
"service": "next-ai-draw-io-worker"
}
]
}
```
**ステップ 4** へ進んでください。
---
### オプション B: R2 ありでのデプロイ(完全な ISR サポート)
R2 を使用すると **Incremental Static Regeneration (ISR)** キャッシュが有効になります。これには Cloudflare アカウントに支払い方法の登録が必要です。
**1. R2 バケットの作成**Cloudflare ダッシュボードにて):
- **Storage & Databases → R2** へ移動
- **Create bucket** をクリック
- 名前を入力: `next-inc-cache`
**2. `open-next.config.ts` の設定:**
```ts
import { defineCloudflareConfig } from "@opennextjs/cloudflare/config"
import r2IncrementalCache from "@opennextjs/cloudflare/overrides/incremental-cache/r2-incremental-cache"
export default defineCloudflareConfig({
incrementalCache: r2IncrementalCache,
})
```
**3. `wrangler.jsonc` の設定R2 あり):**
```jsonc
{
"$schema": "node_modules/wrangler/config-schema.json",
"main": ".open-next/worker.js",
"name": "next-ai-draw-io-worker",
"compatibility_date": "2025-12-08",
"compatibility_flags": ["nodejs_compat", "global_fetch_strictly_public"],
"assets": {
"directory": ".open-next/assets",
"binding": "ASSETS"
},
"r2_buckets": [
{
"binding": "NEXT_INC_CACHE_R2_BUCKET",
"bucket_name": "next-inc-cache"
}
],
"services": [
{
"binding": "WORKER_SELF_REFERENCE",
"service": "next-ai-draw-io-worker"
}
]
}
```
> **重要:** `bucket_name` は Cloudflare ダッシュボードで作成した名前と完全に一致させる必要があります。
---
## ステップ 4 — workers.dev サブドメインの登録(初回のみ)
初回デプロイの前に、workers.dev サブドメインが必要です。
**オプション 1: Cloudflare ダッシュボード経由(推奨)**
アクセス先: https://dash.cloudflare.com → Workers & Pages → Overview → Set up a subdomain
**オプション 2: デプロイ時**
`npm run deploy` を実行した際、Wrangler が以下のように尋ねてくる場合があります:
```
Would you like to register a workers.dev subdomain? (Y/n)
```
`Y` を入力し、サブドメイン名を選択してください。
> **注意:** CI/CD や非対話型環境では、このプロンプトは表示されません。事前にダッシュボードで登録してください。
---
## ステップ 5 — Cloudflare へのデプロイ
```bash
npm run deploy
```
スクリプトの処理内容:
- Next.js アプリのビルド
- OpenNext を介した Cloudflare Worker への変換
- 静的アセットのアップロード
- Worker の公開
アプリは以下の URL で利用可能になります:
```
https://<worker-name>.<your-subdomain>.workers.dev
```
---
## よくある問題と解決策
### `You need to register a workers.dev subdomain`
**原因:** アカウントに workers.dev サブドメインが登録されていません。
**解決策:** https://dash.cloudflare.com → Workers & Pages → Set up a subdomain から登録してください。
---
### `Please enable R2 through the Cloudflare Dashboard`
**原因:** `wrangler.jsonc` で R2 が設定されていますが、アカウントで R2 が有効になっていません。
**解決策:** R2 を有効にする(支払い方法が必要)か、オプション AR2 なしでデプロイ)を使用してください。
---
### `No R2 binding "NEXT_INC_CACHE_R2_BUCKET" found`
**原因:** `wrangler.jsonc``r2_buckets` がありません。
**解決策:** `r2_buckets` セクションを追加するか、オプション AR2 なし)に切り替えてください。
---
### `Can't set compatibility date in the future`
**原因:** wrangler 設定の `compatibility_date` が未来の日付に設定されています。
**解決策:** `compatibility_date` を今日またはそれ以前の日付に変更してください。
---
### Windows エラー: `resvg.wasm?module` (ENOENT)
**原因:** Windows のファイル名には `?` を含めることができませんが、wasm アセットのファイル名に `?module` が使用されているためです。
**解決策:** Linux 環境WSL、Codespaces、または CIでビルド/デプロイしてください。
---
## オプション: ローカルでのプレビュー
デプロイ前に Worker をローカルでプレビューできます:
```bash
npm run preview
```
---
## まとめ
| 機能 | R2 なし | R2 あり |
|---------|------------|---------|
| コスト | 無料 | 支払い方法が必要 |
| ISR キャッシュ | なし | あり |
| 静的ページ | あり | あり |
| API ルート | あり | あり |
| 設定の複雑さ | シンプル | 普通 |
テストやシンプルなアプリには **R2 なし** を選んでください。ISR キャッシュが必要な本番アプリには **R2 あり** を選んでください。

View File

@@ -1,29 +0,0 @@
# Dockerで実行する
ローカルで実行したいだけであれば、Dockerを使用するのが最も良い方法です。
まず、Dockerがまだインストールされていない場合はインストールしてください: [Dockerを入手](https://docs.docker.com/get-docker/)
次に、以下を実行します。
```bash
docker run -d -p 3000:3000 \
-e AI_PROVIDER=openai \
-e AI_MODEL=gpt-4o \
-e OPENAI_API_KEY=your_api_key \
ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
または、envファイルを使用します。
```bash
cp env.example .env
# .envを構成に合わせて編集します
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)を開きます。
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、[AIプロバイダー](./ai-providers.md)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、構成オプションについて[オフラインデプロイ](./offline-deployment.md)を参照してください。

View File

@@ -1,38 +0,0 @@
# オフラインデプロイ
`embed.diagrams.net` の代わりに draw.io をセルフホストすることで、Next AI Draw.io をオフライン環境にデプロイできます。
**注:** `NEXT_PUBLIC_DRAWIO_BASE_URL` は**ビルド時**の変数です。これを変更する場合は、Docker イメージの再ビルドが必要です。
## Docker Compose のセットアップ
1. リポジトリをクローンし、`.env` ファイルに API キーを定義します。
2. `docker-compose.yml` を作成します。
```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. `docker compose up -d` を実行し、`http://localhost:3000` にアクセスします。
## 設定と重要な警告
**`NEXT_PUBLIC_DRAWIO_BASE_URL` は、ユーザーのブラウザからアクセスできる必要があります。**
| シナリオ | URL の値 |
|----------|-----------|
| ローカルホスト | `http://localhost:8080` |
| リモート/サーバー | `http://YOUR_SERVER_IP:8080` |
**`http://drawio:8080` のような Docker 内部のエイリアスは絶対に使用しないでください。** ブラウザはこれらを名前解決できません。

View File

@@ -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**

View File

@@ -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;verticalLabelPosition=bottom;verticalAlign=top;align=center;" 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`

View File

@@ -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`

View File

@@ -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`

View File

@@ -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;verticalLabelPosition=bottom;verticalAlign=top;align=center;" 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`

File diff suppressed because it is too large Load Diff

View File

@@ -1,431 +0,0 @@
# 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;verticalLabelPosition=bottom;verticalAlign=top;align=center;" 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

View File

@@ -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`

View File

@@ -1,60 +0,0 @@
# 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`

View File

@@ -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`

View File

@@ -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;verticalLabelPosition=bottom;verticalAlign=top;align=center;" 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`

View File

@@ -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;verticalLabelPosition=bottom;verticalAlign=top;align=center;" 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`

View File

@@ -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)

View File

@@ -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`

View File

@@ -1,52 +0,0 @@
# 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`

View File

@@ -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`

View File

@@ -1,315 +0,0 @@
# gcp2
**Type:** mxgraph shapes
**Prefix:** `mxgraph.gcp2`
## Usage
```xml
<mxCell value="label" style="shape=mxgraph.gcp2.{shape};fillColor=#4285F4;strokeColor=none;verticalLabelPosition=bottom;verticalAlign=top;align=center;" 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`

View File

@@ -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`

View File

@@ -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;verticalLabelPosition=bottom;verticalAlign=top;align=center;" 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`

View File

@@ -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`

View File

@@ -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;verticalLabelPosition=bottom;verticalAlign=top;align=center;" 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)

View File

@@ -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;verticalLabelPosition=bottom;verticalAlign=top;align=center;" 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`

View File

@@ -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;verticalLabelPosition=bottom;verticalAlign=top;align=center;" 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`

View File

@@ -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

View File

@@ -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)

View File

@@ -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;verticalLabelPosition=bottom;verticalAlign=top;align=center;" 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;verticalLabelPosition=bottom;verticalAlign=top;align=center;" 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;verticalLabelPosition=bottom;verticalAlign=top;align=center;" 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;verticalLabelPosition=bottom;verticalAlign=top;align=center;" 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`

Some files were not shown because too many files have changed in this diff Show More