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Author SHA1 Message Date
dayuan.jiang
015537e97d feat: expand PR review scope to catch more issues
- Add categories for scope creep, suspicious .gitignore additions, UI inconsistencies
- Change from 'be very selective' to 'report ALL issues found'
- Simplify DO NOT comment list to allow more actionable feedback
2025-11-29 11:36:42 +09:00
170 changed files with 2601 additions and 45694 deletions

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# Dependencies
node_modules
npm-debug.log*
yarn-debug.log*
yarn-error.log*
# Build output
.next
out
dist
build
# Testing
coverage
.nyc_output
# Environment variables
.env
.env*.local
.env.local
.env.development.local
.env.test.local
.env.production.local
# Git
.git
.gitignore
.gitattributes
# IDE
.vscode
.idea
*.swp
*.swo
*~
# Operating System
.DS_Store
Thumbs.db
# Documentation
README.md
*.md
!env.example
# CI/CD
.github
.gitlab-ci.yml
.travis.yml
# Docker
Dockerfile
.dockerignore
docker-compose*.yml
# Other
*.log
.cache
.turbo

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{
"extends": ["next/core-web-vitals", "next/typescript"]
}

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

15
.github/FUNDING.yml vendored
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# These are supported funding model platforms
github: dayuanjiang
patreon: # Replace with a single Patreon username
open_collective: # Replace with a single Open Collective username
ko_fi: # Replace with a single Ko-fi username
tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel
community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry
liberapay: # Replace with a single Liberapay username
issuehunt: # Replace with a single IssueHunt username
lfx_crowdfunding: # Replace with a single LFX Crowdfunding project-name e.g., cloud-foundry
polar: # Replace with a single Polar username
buy_me_a_coffee: # Replace with a single Buy Me a Coffee username
thanks_dev: # Replace with a single thanks.dev username
custom: # Replace with up to 4 custom sponsorship URLs e.g., ['link1', 'link2']

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

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

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

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

114
.github/workflows/claude-code.yml vendored Normal file
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name: Claude Code
on:
issue_comment:
types: [created]
pull_request_review_comment:
types: [created]
issues:
types: [opened, assigned]
pull_request_review:
types: [submitted]
pull_request_target:
types: [opened, synchronize, reopened]
jobs:
claude:
if: |
(github.event_name == 'issue_comment' && contains(github.event.comment.body, '@claude')) ||
(github.event_name == 'pull_request_review_comment' && contains(github.event.comment.body, '@claude')) ||
(github.event_name == 'pull_request_review' && contains(github.event.review.body, '@claude')) ||
(github.event_name == 'issues' && contains(github.event.issue.body, '@claude'))
runs-on: ubuntu-latest
permissions:
contents: write
pull-requests: write
issues: write
id-token: write
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Configure AWS Credentials
uses: aws-actions/configure-aws-credentials@v4
with:
role-to-assume: ${{ secrets.AWS_ROLE_TO_ASSUME }}
aws-region: us-east-1
- name: Run Claude Code
uses: anthropics/claude-code-action@v1
with:
use_bedrock: "true"
github_token: ${{ secrets.GITHUB_TOKEN }}
pr-review:
if: github.event_name == 'pull_request_target'
runs-on: ubuntu-latest
permissions:
contents: read
pull-requests: write
id-token: write
steps:
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Configure AWS Credentials
uses: aws-actions/configure-aws-credentials@v4
with:
role-to-assume: ${{ secrets.AWS_ROLE_TO_ASSUME }}
aws-region: us-east-1
- name: Run Claude Code PR Review
uses: anthropics/claude-code-action@v1
with:
use_bedrock: "true"
github_token: ${{ secrets.GITHUB_TOKEN }}
allowed_non_write_users: "*"
prompt: |
REPO: ${{ github.repository }}
PR NUMBER: ${{ github.event.pull_request.number }}
This is a personal project - an AI-powered draw.io diagram generator built with:
- Next.js 15 with React 19
- Vercel AI SDK (streamText, useChat, tool calling)
- Multiple AI providers: Bedrock, Anthropic, OpenAI, Google, Azure, OpenRouter, Ollama
First, check previous review comments from github-actions bot using `gh api repos/${{ github.repository }}/pulls/${{ github.event.pull_request.number }}/comments`.
For each previous comment:
- If the issue is fixed in the current code, resolve the comment thread using:
`gh api graphql -f query='mutation { resolveReviewThread(input: {threadId: "THREAD_ID"}) { thread { isResolved } } }'`
Get the thread ID from the comment's node_id field.
- If the issue still exists, leave it alone
Then review the current diff for NEW issues only:
Review this PR for these issues (report ALL that apply):
1. Bugs that would cause runtime errors or broken functionality
2. Security issues (exposed secrets, API key leaks)
3. AI SDK misuse - specifically check for:
- Client-side: Should use useChat/useCompletion/useObject hooks, NOT raw fetch()
- Server-side: Should use streamText/generateText/streamObject/generateObject
- Message handling: Access message.parts array, not legacy content property
- Tool definitions: Must use Zod schemas for inputSchema
- Status handling: Check status (submitted/streaming/ready/error) before actions
- Stream cleanup: Call stop() when aborting streams
4. Unrelated changes that should be in separate PRs (scope creep)
5. Suspicious .gitignore additions or accidentally committed files
6. UI/UX inconsistencies (e.g., alignment issues)
When reviewing AI SDK usage, fetch https://ai-sdk.dev/docs/ to verify correct patterns.
Key doc pages: /docs/ai-sdk-ui/chatbot, /docs/ai-sdk-core/generating-text, /docs/ai-sdk-core/tools-and-tool-calling
DO NOT comment on:
- Minor performance optimizations
- Code style preferences (unless clearly wrong)
- Type annotations that don't affect functionality
Use `mcp__github_inline_comment__create_inline_comment` for inline comments.
Report ALL issues found - create multiple inline comments if needed. Only say "LGTM" if there are truly no issues.
claude_args: |
--allowedTools "mcp__github_inline_comment__create_inline_comment,Bash(gh pr comment:*),Bash(gh pr diff:*),Bash(gh pr view:*),Bash(gh api:*),WebFetch(domain:ai-sdk.dev)"

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name: Docker Build and Push
on:
push:
branches:
- main
- master
- dev
tags:
- 'v*'
pull_request:
branches:
- main
- master
env:
REGISTRY: ghcr.io
IMAGE_NAME: ${{ github.repository }}
jobs:
build-and-push:
runs-on: ubuntu-latest
permissions:
contents: read
packages: write
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Log in to GitHub Container Registry
if: github.event_name != 'pull_request'
uses: docker/login-action@v3
with:
registry: ${{ env.REGISTRY }}
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Extract metadata (tags, labels)
id: meta
uses: docker/metadata-action@v5
with:
images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
tags: |
type=ref,event=branch
type=ref,event=pr
type=semver,pattern={{version}}
type=semver,pattern={{major}}.{{minor}}
type=semver,pattern={{major}}
type=sha,prefix=sha-
type=raw,value=latest,enable={{is_default_branch}}
- name: Build and push Docker image
uses: docker/build-push-action@v5
with:
context: .
push: ${{ github.event_name != 'pull_request' }}
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
cache-from: type=gha
cache-to: type=gha,mode=max
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@v4
with:
aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
aws-region: ap-northeast-1
- name: Login to Amazon ECR
if: github.event_name != 'pull_request' && github.ref == 'refs/heads/main'
id: login-ecr
uses: aws-actions/amazon-ecr-login@v2
- name: Push to ECR (triggers App Runner auto-deploy)
if: github.event_name != 'pull_request' && github.ref == 'refs/heads/main'
env:
REPO_LOWER: ${{ github.repository }}
run: |
REPO_LOWER=$(echo "$REPO_LOWER" | tr '[:upper:]' '[:lower:]')
docker pull ghcr.io/${REPO_LOWER}:latest
docker tag ghcr.io/${REPO_LOWER}:latest ${{ secrets.AWS_ACCOUNT_ID }}.dkr.ecr.ap-northeast-1.amazonaws.com/next-ai-draw-io:latest
docker push ${{ secrets.AWS_ACCOUNT_ID }}.dkr.ecr.ap-northeast-1.amazonaws.com/next-ai-draw-io:latest

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

24
.gitignore vendored
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@@ -2,8 +2,6 @@
# dependencies
/node_modules
packages/*/node_modules
packages/*/dist
/.pnp
.pnp.*
.yarn/*
@@ -42,24 +40,4 @@ yarn-error.log*
*.tsbuildinfo
next-env.d.ts
push-via-ec2.sh
.claude/
.playwright-mcp/
# Cloudflare
.dev.vars
.open-next/
.wrangler/
.env*.local
# Electron
/dist-electron/
/release/
/electron-standalone/
*.dmg
*.exe
*.AppImage
*.deb
*.rpm
*.snap
CLAUDE.md
.spec-workflow
.claude/settings.local.json

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npx lint-staged

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

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# Multi-stage Dockerfile for Next.js
# Stage 1: Install dependencies
FROM node:20-alpine AS deps
RUN apk add --no-cache libc6-compat
WORKDIR /app
# Copy package files
COPY package.json package-lock.json* ./
# Install dependencies
RUN npm ci
# Stage 2: Build application
FROM node:20-alpine AS builder
WORKDIR /app
# Copy node_modules from deps stage
COPY --from=deps /app/node_modules ./node_modules
COPY . .
# Disable Next.js telemetry during build
ENV NEXT_TELEMETRY_DISABLED=1
# Build-time argument for self-hosted draw.io URL
ARG NEXT_PUBLIC_DRAWIO_BASE_URL=https://embed.diagrams.net
ENV NEXT_PUBLIC_DRAWIO_BASE_URL=${NEXT_PUBLIC_DRAWIO_BASE_URL}
# Build-time argument to show About link and Notice icon
ARG NEXT_PUBLIC_SHOW_ABOUT_AND_NOTICE=false
ENV NEXT_PUBLIC_SHOW_ABOUT_AND_NOTICE=${NEXT_PUBLIC_SHOW_ABOUT_AND_NOTICE}
# Build Next.js application (standalone mode)
RUN npm run build
# Stage 3: Production runtime
FROM node:20-alpine AS runner
WORKDIR /app
ENV NODE_ENV=production
ENV NEXT_TELEMETRY_DISABLED=1
# Create non-root user for security
RUN addgroup --system --gid 1001 nodejs
RUN adduser --system --uid 1001 nextjs
# Copy necessary files
COPY --from=builder /app/public ./public
# Copy standalone build output
COPY --from=builder --chown=nextjs:nodejs /app/.next/standalone ./
COPY --from=builder --chown=nextjs:nodejs /app/.next/static ./.next/static
USER nextjs
EXPOSE 3000
ENV PORT=3000
ENV HOSTNAME="0.0.0.0"
# Start the application (HOSTNAME override needed for AWS App Runner)
CMD ["sh", "-c", "HOSTNAME=0.0.0.0 exec node server.js"]

190
LICENSE
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@@ -1,190 +0,0 @@
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
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"License" shall mean the terms and conditions for use, reproduction,
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outstanding shares, or (iii) beneficial ownership of such entity.
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within such NOTICE file, excluding those notices that do not
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of the following places: within a NOTICE text file distributed
as part of the Derivative Works; within the Source form or
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of the NOTICE file are for informational purposes only and
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You may add Your own copyright statement to Your modifications and
may provide additional or different license terms and conditions
for use, reproduction, or distribution of Your modifications, or
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5. Submission of Contributions. Unless You explicitly state otherwise,
any Contribution intentionally submitted for inclusion in the Work
by You to the Licensor shall be under the terms and conditions of
this License, without any additional terms or conditions.
Notwithstanding the above, nothing herein shall supersede or modify
the terms of any separate license agreement you may have executed
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6. Trademarks. This License does not grant permission to use the trade
names, trademarks, service marks, or product names of the Licensor,
except as required for reasonable and customary use in describing the
origin of the Work and reproducing the content of the NOTICE file.
7. Disclaimer of Warranty. Unless required by applicable law or
agreed to in writing, Licensor provides the Work (and each
Contributor provides its Contributions) on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
implied, including, without limitation, any warranties or conditions
of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
PARTICULAR PURPOSE. You are solely responsible for determining the
appropriateness of using or redistributing the Work and assume any
risks associated with Your exercise of permissions under this License.
8. Limitation of Liability. In no event and under no legal theory,
whether in tort (including negligence), contract, or otherwise,
unless required by applicable law (such as deliberate and grossly
negligent acts) or agreed to in writing, shall any Contributor be
liable to You for damages, including any direct, indirect, special,
incidental, or consequential damages of any character arising as a
result of this License or out of the use or inability to use the
Work (including but not limited to damages for loss of goodwill,
work stoppage, computer failure or malfunction, or any and all
other commercial damages or losses), even if such Contributor
has been advised of the possibility of such damages.
9. Accepting Warranty or Additional Liability. While redistributing
the Work or Derivative Works thereof, You may choose to offer,
and charge a fee for, acceptance of support, warranty, indemnity,
or other liability obligations and/or rights consistent with this
License. However, in accepting such obligations, You may act only
on Your own behalf and on Your sole responsibility, not on behalf
of any other Contributor, and only if You agree to indemnify,
defend, and hold each Contributor harmless for any liability
incurred by, or claims asserted against, such Contributor by reason
of your accepting any such warranty or additional liability.
END OF TERMS AND CONDITIONS
Copyright 2024 Dayuan Jiang
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

250
README.md
View File

@@ -1,61 +1,26 @@
# Next AI Draw.io
<div align="center">
A next.js web application that integrates AI capabilities with draw.io diagrams. This app allows you to create, modify, and enhance diagrams through natural language commands and AI-assisted visualization.
**AI-Powered Diagram Creation Tool - Chat, Draw, Visualize**
https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
English | [中文](./docs/README_CN.md) | [日本語](./docs/README_JA.md)
Demo site: [https://next-ai-draw-io.vercel.app](https://next-ai-draw-io.vercel.app)
[![TrendShift](https://trendshift.io/api/badge/repositories/15449)](https://next-ai-drawio.jiang.jp/)
## Features
[![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)
- **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
[![Live Demo](./public/live-demo-button.svg)](https://next-ai-drawio.jiang.jp/)
</div>
A Next.js web application that integrates AI capabilities with draw.io diagrams. Create, modify, and enhance diagrams through natural language commands and AI-assisted visualization.
https://github.com/user-attachments/assets/9d60a3e8-4a1c-4b5e-acbb-26af2d3eabd1
## Table of Contents
- [Next AI Draw.io ](#next-ai-drawio-)
- [Table of Contents](#table-of-contents)
- [Examples](#examples)
- [Features](#features)
- [MCP Server (Preview)](#mcp-server-preview)
- [Getting Started](#getting-started)
- [Try it Online](#try-it-online)
- [Desktop Application](#desktop-application)
- [Run with Docker (Recommended)](#run-with-docker-recommended)
- [Installation](#installation)
- [Deployment](#deployment)
- [Multi-Provider Support](#multi-provider-support)
- [How It Works](#how-it-works)
- [Project Structure](#project-structure)
- [Support \& Contact](#support--contact)
- [Star History](#star-history)
## Examples
## **Examples**
Here are some example prompts and their generated diagrams:
<div align="center">
<table width="100%">
<tr>
<td colspan="2" valign="top" align="center">
<strong>Animated transformer connectors</strong><br />
<p><strong>Prompt:</strong> Give me a **animated connector** diagram of transformer's architecture.</p>
<img src="./public/animated_connectors.svg" alt="Transformer Architecture with Animated Connectors" width="480" />
</td>
</tr>
<tr>
<td width="50%" valign="top">
<strong>GCP architecture diagram</strong><br />
@@ -75,119 +40,44 @@ Here are some example prompts and their generated diagrams:
<img src="./public/azure_demo.svg" alt="Azure Architecture Diagram" width="480" />
</td>
<td width="50%" valign="top">
<strong>Animated transformer connectors</strong><br />
<p><strong>Prompt:</strong> Give me a **animated connector** diagram of transformer's architecture.</p>
<img src="./public/animated_connectors.svg" alt="Transformer Architecture with Animated Connectors" width="480" />
</td>
</tr>
<tr>
<td colspan="2" valign="top" align="center">
<strong>Cat sketch prompt</strong><br />
<p><strong>Prompt:</strong> Draw a cute cat for me.</p>
<img src="./public/cat_demo.svg" alt="Cat Drawing" width="240" />
<img src="./public/cat_demo.svg" alt="Cat Drawing" width="260" />
</td>
</tr>
</table>
</div>
## Features
## How It Works
- **LLM-Powered Diagram Creation**: Leverage Large Language Models to create and manipulate draw.io diagrams directly through natural language commands
- **Image-Based Diagram Replication**: Upload existing diagrams or images and have the AI replicate and enhance them automatically
- **PDF & Text File Upload**: Upload PDF documents and text files to extract content and generate diagrams from existing documents
- **AI Reasoning Display**: View the AI's thinking process for supported models (OpenAI o1/o3, Gemini, Claude, etc.)
- **Diagram History**: Comprehensive version control that tracks all changes, allowing you to view and restore previous versions of your diagrams before the AI editing.
- **Interactive Chat Interface**: Communicate with AI to refine your diagrams in real-time
- **Cloud Architecture Diagram Support**: Specialized support for generating cloud architecture diagrams (AWS, GCP, Azure)
- **Animated Connectors**: Create dynamic and animated connectors between diagram elements for better visualization
The application uses the following technologies:
## MCP Server (Preview)
- **Next.js**: For the frontend framework and routing
- **@ai-sdk/react**: For the chat interface and AI interactions
- **react-drawio**: For diagram representation and manipulation
> **Preview Feature**: This feature is experimental and may not stable.
Diagrams are represented as XML that can be rendered in draw.io. The AI processes your commands and generates or modifies this XML accordingly.
Use Next AI Draw.io with AI agents like Claude Desktop, Cursor, and VS Code via MCP (Model Context Protocol).
## Multi-Provider Support
```json
{
"mcpServers": {
"drawio": {
"command": "npx",
"args": ["@next-ai-drawio/mcp-server@latest"]
}
}
}
```
- AWS Bedrock (default)
- OpenAI / OpenAI-compatible APIs (via `OPENAI_BASE_URL`)
- Anthropic
- Google AI
- Azure OpenAI
- Ollama
### 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.
Note that `claude-sonnet-4-5` has trained on draw.io diagrams with AWS logos, so if you want to create AWS architecture diagrams, this is the best choice.
## Getting Started
### Try it Online
No installation needed! Try the app directly on our demo site:
[![Live Demo](./public/live-demo-button.svg)](https://next-ai-drawio.jiang.jp/)
> Note: Due to high traffic, the demo site currently uses minimax-m2. For best results, we recommend self-hosting with Claude Sonnet 4.5 or Claude Opus 4.5.
> **Bring Your Own API Key**: You can use your own API key to bypass usage limits on the demo site. Click the Settings icon in the chat panel to configure your provider and API key. Your key is stored locally in your browser and is never stored on the server.
### Desktop Application
Download the native desktop app for your platform from the [Releases page](https://github.com/DayuanJiang/next-ai-draw-io/releases):
| Platform | Download |
|----------|----------|
| macOS | `.dmg` (Intel & Apple Silicon) |
| Windows | `.exe` installer (x64 & ARM64) |
| Linux | `.AppImage` or `.deb` (x64 & ARM64) |
**Features:**
- **Secure API key storage**: Credentials encrypted using OS keychain
- **Configuration presets**: Save and switch between AI providers via menu
- **Native file dialogs**: Open/save `.drawio` files directly
- **Offline capable**: Works without internet after first launch
**Quick Setup:**
1. Download and install for your platform
2. Open the app → **Menu → Configuration → Manage Presets**
3. Add your AI provider credentials
4. Start creating diagrams!
### Run with Docker (Recommended)
If you just want to run it locally, the best way is to use Docker.
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 [Multi-Provider Support](#multi-provider-support) for available options.
> **Offline Deployment:** If `embed.diagrams.net` is blocked, see [Offline Deployment](./docs/offline-deployment.md) for configuration options.
### Installation
1. Clone the repository:
@@ -201,6 +91,8 @@ cd next-ai-draw-io
```bash
npm install
# or
yarn install
```
3. Configure your AI provider:
@@ -213,15 +105,11 @@ cp env.example .env.local
Edit `.env.local` and configure your chosen provider:
- Set `AI_PROVIDER` to your chosen provider (bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow)
- Set `AI_PROVIDER` to your chosen provider (bedrock, openai, anthropic, google, azure, ollama)
- Set `AI_MODEL` to the specific model you want to use
- Add the required API keys for your provider
- `TEMPERATURE`: Optional temperature setting (e.g., `0` for deterministic output). Leave unset for models that don't support it (e.g., reasoning models).
- `ACCESS_CODE_LIST`: Optional access password(s), can be comma-separated for multiple passwords.
> Warning: If you do not set `ACCESS_CODE_LIST`, anyone can access your deployed site directly, which may lead to rapid depletion of your token. It is recommended to set this option.
See the [Provider Configuration Guide](./docs/ai-providers.md) for detailed setup instructions for each provider.
See the [Multi-Provider Support](#multi-provider-support) section above for provider-specific configuration examples.
4. Run the development server:
@@ -242,67 +130,35 @@ Or you can deploy by this button.
Be sure to **set the environment variables** in the Vercel dashboard as you did in your local `.env.local` file.
## Multi-Provider Support
- AWS Bedrock (default)
- OpenAI
- Anthropic
- Google AI
- Azure OpenAI
- Ollama
- OpenRouter
- DeepSeek
- SiliconFlow
All providers except AWS Bedrock and OpenRouter support custom endpoints.
📖 **[Detailed Provider Configuration Guide](./docs/ai-providers.md)** - See setup instructions for each provider.
**Model Requirements**: This task requires strong model capabilities for generating long-form text with strict formatting constraints (draw.io XML). Recommended models include Claude Sonnet 4.5, GPT-5.1, Gemini 3 Pro, and DeepSeek V3.2/R1.
Note that `claude` series has trained on draw.io diagrams with cloud architecture logos like AWS, Azure, GCP. So if you want to create cloud architecture diagrams, this is the best choice.
## How It Works
The application uses the following technologies:
- **Next.js**: For the frontend framework and routing
- **Vercel AI SDK** (`ai` + `@ai-sdk/*`): For streaming AI responses and multi-provider support
- **react-drawio**: For diagram representation and manipulation
Diagrams are represented as XML that can be rendered in draw.io. The AI processes your commands and generates or modifies this XML accordingly.
## Project Structure
```
app/ # Next.js App Router
api/chat/ # Chat API endpoint with AI tools
page.tsx # Main page with DrawIO embed
app/ # Next.js application routes and pages
extract_xml.ts # Utilities for XML processing
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
chat-input.tsx # User input component for AI interaction
chatPanel.tsx # Chat interface with diagram control
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
utils.ts # General utilities including XML conversion
public/ # Static assets including example images
```
## Support & Contact
## TODOs
If you find this project useful, please consider [sponsoring](https://github.com/sponsors/DayuanJiang) to help me host the live demo site!
- [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)
- [ ] Solve the bug that generation will fail for session that longer than 60s.
## License
This project is licensed under the MIT License.
## Support & Contact
For support or inquiries, please open an issue on the GitHub repository or contact the maintainer at:
- Email: me[at]jiang.jp
## Star History
[![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

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

View File

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

View File

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

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

View File

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

336
app/about/page.tsx Normal file
View File

@@ -0,0 +1,336 @@
import type { Metadata } from "next";
import Link from "next/link";
import { FaGithub } from "react-icons/fa";
export const metadata: Metadata = {
title: "About - AI-Powered Diagram Generator | Next AI Draw.io",
description: "Learn about Next AI Draw.io, a free AI-powered diagram creation tool. Create AWS architecture diagrams, flowcharts, and UML diagrams using Claude Sonnet and GPT-4. No login required.",
keywords: ["about AI diagram generator", "diagram tool features", "how to create diagrams", "AI drawing tool capabilities", "draw.io integration"],
};
export default function About() {
return (
<div className="min-h-screen bg-gray-50">
{/* Navigation */}
<header className="bg-white border-b border-gray-200">
<div className="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8 py-4">
<div className="flex items-center justify-between">
<Link href="/" className="text-xl font-bold text-gray-900 hover:text-gray-700">
Next AI Draw.io
</Link>
<nav className="flex items-center gap-6 text-sm">
<Link href="/" className="text-gray-600 hover:text-gray-900 transition-colors">
Editor
</Link>
<Link href="/about" className="text-blue-600 font-semibold">
About
</Link>
<a
href="https://github.com/DayuanJiang/next-ai-draw-io"
target="_blank"
rel="noopener noreferrer"
className="text-gray-600 hover:text-gray-900 transition-colors"
aria-label="View on GitHub"
>
<FaGithub className="w-5 h-5" />
</a>
</nav>
</div>
</div>
</header>
{/* Main Content */}
<main className="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8 py-12">
<article>
{/* Hero Section */}
<header className="mb-12">
<h1 className="text-4xl font-bold text-gray-900 mb-4">
AI-Powered Diagram Generator | Create Professional Diagrams Instantly
</h1>
<p className="text-xl text-gray-600">
Free, open-source diagram creation tool powered by AI. No login required, no installation needed.
</p>
</header>
{/* Introduction */}
<section className="mb-12">
<h2 className="text-2xl font-semibold text-gray-900 mb-4">What is Next AI Draw.io?</h2>
<div className="prose prose-lg max-w-none text-gray-700">
<p className="mb-4">
<strong>Next AI Draw.io</strong> is a free, AI-powered diagram creation tool that integrates seamlessly with draw.io.
Generate AWS architecture diagrams, flowcharts, UML diagrams, and technical documentation diagrams using natural language
prompts. No login required, no installation neededstart creating professional diagrams instantly in your browser.
</p>
<p className="mb-4">
Our intelligent diagram generator uses advanced AI models including <strong>Claude Sonnet</strong> and <strong>GPT-4</strong> to
understand your requirements and automatically create properly structured diagrams with appropriate symbols, layouts, and connections.
Simply describe what you need, upload reference images, or ask the AI to modify existing diagrams with our targeted XML editing feature.
</p>
<p>
Whether you're a software architect designing system infrastructure, a developer documenting APIs, a business analyst creating
process flows, or a student working on technical assignments, Next AI Draw.io makes diagram creation fast, accurate, and effortless.
</p>
</div>
</section>
{/* Key Features */}
<section className="mb-12">
<h2 className="text-2xl font-semibold text-gray-900 mb-6">Key Features</h2>
<div className="grid md:grid-cols-2 gap-6">
<div className="bg-white p-6 rounded-lg border border-gray-200 shadow-sm">
<h3 className="text-lg font-semibold text-gray-900 mb-3 flex items-center">
<span className="text-blue-600 mr-2">✓</span>
AI-Powered Diagram Creation
</h3>
<p className="text-gray-700">
Generate diagrams from natural language descriptions using Claude Sonnet or GPT-4.
Describe your diagram in plain English, and watch the AI create it with proper symbols,
layouts, and connections automatically.
</p>
</div>
<div className="bg-white p-6 rounded-lg border border-gray-200 shadow-sm">
<h3 className="text-lg font-semibold text-gray-900 mb-3 flex items-center">
<span className="text-blue-600 mr-2">✓</span>
AWS Architecture Diagrams
</h3>
<p className="text-gray-700">
Create professional cloud infrastructure diagrams with AWS-style icons and layouts.
Perfect for designing EC2 instances, Lambda functions, S3 buckets, RDS databases, VPCs,
and complete AWS solution architectures.
</p>
</div>
<div className="bg-white p-6 rounded-lg border border-gray-200 shadow-sm">
<h3 className="text-lg font-semibold text-gray-900 mb-3 flex items-center">
<span className="text-blue-600 mr-2">✓</span>
Image-Based Diagram Replication
</h3>
<p className="text-gray-700">
Upload existing diagrams or sketches, and the AI will automatically recreate them in draw.io format.
Modify uploaded images by describing the changes you want—the AI handles the rest.
</p>
</div>
<div className="bg-white p-6 rounded-lg border border-gray-200 shadow-sm">
<h3 className="text-lg font-semibold text-gray-900 mb-3 flex items-center">
<span className="text-blue-600 mr-2">✓</span>
Diagram History & Version Control
</h3>
<p className="text-gray-700">
Access previous versions of your diagrams and restore any version from your session history.
Never lose work—every AI modification is saved and can be undone with a single click.
</p>
</div>
<div className="bg-white p-6 rounded-lg border border-gray-200 shadow-sm">
<h3 className="text-lg font-semibold text-gray-900 mb-3 flex items-center">
<span className="text-blue-600 mr-2">✓</span>
Targeted XML Editing
</h3>
<p className="text-gray-700">
Precise diagram modifications using intelligent XML manipulation. Unlike full diagram regeneration,
targeted edits preserve your existing layout while making specific changes, ensuring consistent
and predictable results.
</p>
</div>
<div className="bg-white p-6 rounded-lg border border-gray-200 shadow-sm">
<h3 className="text-lg font-semibold text-gray-900 mb-3 flex items-center">
<span className="text-blue-600 mr-2">✓</span>
Multi-Provider AI Support
</h3>
<p className="text-gray-700">
Choose between Claude Sonnet, GPT-4, and other leading AI models for optimal results.
Each model has unique strengths—select the one that best fits your diagram complexity and style.
</p>
</div>
</div>
</section>
{/* Use Cases */}
<section className="mb-12">
<h2 className="text-2xl font-semibold text-gray-900 mb-6">Popular Use Cases</h2>
<div className="grid md:grid-cols-3 gap-6">
<div className="bg-blue-50 p-6 rounded-lg border border-blue-200">
<h3 className="text-xl font-semibold text-gray-900 mb-3">AWS Cloud Architecture</h3>
<p className="text-gray-700 mb-4">
Design scalable cloud infrastructure with EC2 instances, Lambda functions, S3 storage,
RDS databases, and VPC networking. Perfect for solution architects, cloud engineers,
and DevOps teams planning AWS deployments.
</p>
<p className="text-sm text-gray-600 italic">
Example: "Create an AWS diagram with an Application Load Balancer, two EC2 instances
in different availability zones, an RDS database, and an S3 bucket for static assets."
</p>
</div>
<div className="bg-green-50 p-6 rounded-lg border border-green-200">
<h3 className="text-xl font-semibold text-gray-900 mb-3">Flowcharts & Process Diagrams</h3>
<p className="text-gray-700 mb-4">
Create business process flows, decision trees, workflow diagrams, and algorithm flowcharts
for documentation, presentations, and process optimization. Ideal for business analysts,
project managers, and operations teams.
</p>
<p className="text-sm text-gray-600 italic">
Example: "Draw a flowchart for user authentication: check if user exists, verify password,
generate JWT token on success, show error message on failure."
</p>
</div>
<div className="bg-purple-50 p-6 rounded-lg border border-purple-200">
<h3 className="text-xl font-semibold text-gray-900 mb-3">System Design & UML Diagrams</h3>
<p className="text-gray-700 mb-4">
Generate system architecture diagrams, class diagrams, sequence diagrams, and
entity-relationship diagrams for software projects. Essential for software engineers,
system designers, and technical documentation.
</p>
<p className="text-sm text-gray-600 italic">
Example: "Create a class diagram for an e-commerce system with User, Product, Order,
and Payment classes showing their relationships and key methods."
</p>
</div>
</div>
</section>
{/* How It Works */}
<section className="mb-12 bg-white p-8 rounded-lg border border-gray-200">
<h2 className="text-2xl font-semibold text-gray-900 mb-6">How to Use Next AI Draw.io</h2>
<div className="space-y-6">
<div className="flex items-start">
<div className="flex-shrink-0 w-10 h-10 bg-blue-600 text-white rounded-full flex items-center justify-center font-bold mr-4">
1
</div>
<div>
<h3 className="text-lg font-semibold text-gray-900 mb-2">Open the Editor</h3>
<p className="text-gray-700">
Navigate to the main page and you'll see the draw.io editor with an AI chat panel on the right.
No account creation or login requiredstart immediately.
</p>
</div>
</div>
<div className="flex items-start">
<div className="flex-shrink-0 w-10 h-10 bg-blue-600 text-white rounded-full flex items-center justify-center font-bold mr-4">
2
</div>
<div>
<h3 className="text-lg font-semibold text-gray-900 mb-2">Describe Your Diagram</h3>
<p className="text-gray-700">
Type your diagram request in natural language. Be as detailed or as general as you like.
You can also upload reference images for the AI to analyze and replicate.
</p>
</div>
</div>
<div className="flex items-start">
<div className="flex-shrink-0 w-10 h-10 bg-blue-600 text-white rounded-full flex items-center justify-center font-bold mr-4">
3
</div>
<div>
<h3 className="text-lg font-semibold text-gray-900 mb-2">AI Generates Your Diagram</h3>
<p className="text-gray-700">
The AI processes your request and automatically creates your diagram in seconds.
Watch as it appears in the editor with proper symbols, layouts, and connections.
</p>
</div>
</div>
<div className="flex items-start">
<div className="flex-shrink-0 w-10 h-10 bg-blue-600 text-white rounded-full flex items-center justify-center font-bold mr-4">
4
</div>
<div>
<h3 className="text-lg font-semibold text-gray-900 mb-2">Refine and Export</h3>
<p className="text-gray-700">
Request modifications using the chat, manually edit in draw.io, or export to PNG, SVG,
or XML format. Access diagram history to restore previous versions anytime.
</p>
</div>
</div>
</div>
</section>
{/* Benefits */}
<section className="mb-12">
<h2 className="text-2xl font-semibold text-gray-900 mb-6">Why Choose Next AI Draw.io?</h2>
<div className="grid md:grid-cols-2 gap-6">
<div className="flex items-start">
<div className="flex-shrink-0 text-blue-600 text-2xl mr-3"></div>
<div>
<h3 className="text-lg font-semibold text-gray-900 mb-2">Save Time</h3>
<p className="text-gray-700">
Create complex diagrams in seconds instead of hours. No more dragging, aligning,
or searching for the right symbolsAI handles it all.
</p>
</div>
</div>
<div className="flex items-start">
<div className="flex-shrink-0 text-blue-600 text-2xl mr-3">🎯</div>
<div>
<h3 className="text-lg font-semibold text-gray-900 mb-2">Precision Editing</h3>
<p className="text-gray-700">
Targeted XML editing ensures changes are precise and predictable, unlike tools
that regenerate entire diagrams and lose your layout.
</p>
</div>
</div>
<div className="flex items-start">
<div className="flex-shrink-0 text-blue-600 text-2xl mr-3">🆓</div>
<div>
<h3 className="text-lg font-semibold text-gray-900 mb-2">Completely Free</h3>
<p className="text-gray-700">
No subscriptions, no usage limits, no hidden costs. Open-source and free forever.
Use it for personal projects, work, or education.
</p>
</div>
</div>
<div className="flex items-start">
<div className="flex-shrink-0 text-blue-600 text-2xl mr-3">🔒</div>
<div>
<h3 className="text-lg font-semibold text-gray-900 mb-2">Privacy First</h3>
<p className="text-gray-700">
No account required means your diagrams stay private. Work on sensitive
architecture designs without worrying about data storage or privacy policies.
</p>
</div>
</div>
</div>
</section>
{/* CTA Section */}
<section className="bg-blue-600 text-white p-8 rounded-lg text-center">
<h2 className="text-3xl font-bold mb-4">Ready to Create Your First AI Diagram?</h2>
<p className="text-xl mb-6">
Start generating professional diagrams in seconds. No signup required.
</p>
<Link
href="/"
className="inline-block bg-white text-blue-600 px-8 py-3 rounded-lg font-semibold hover:bg-gray-100 transition-colors"
>
Open Editor
</Link>
</section>
</article>
</main>
{/* Footer */}
<footer className="bg-white border-t border-gray-200 mt-16">
<div className="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8 py-8">
<div className="text-center text-gray-600 text-sm">
<p className="mb-2">
Next AI Draw.io - Free AI-Powered Diagram Generator
</p>
<p>
Perfect for developers, architects, students, and business analysts.
Open source. No login required.
</p>
</div>
</div>
</footer>
</div>
);
}

View File

@@ -1,777 +1,195 @@
import {
APICallError,
convertToModelMessages,
createUIMessageStream,
createUIMessageStreamResponse,
InvalidToolInputError,
LoadAPIKeyError,
stepCountIs,
streamText,
} from "ai"
import fs from "fs/promises"
import { jsonrepair } from "jsonrepair"
import path from "path"
import { z } from "zod"
import { getAIModel, supportsPromptCaching } from "@/lib/ai-providers"
import { findCachedResponse } from "@/lib/cached-responses"
import {
getTelemetryConfig,
setTraceInput,
setTraceOutput,
wrapWithObserve,
} from "@/lib/langfuse"
import { getSystemPrompt } from "@/lib/system-prompts"
import { streamText, convertToModelMessages } from 'ai';
import { getAIModel } from '@/lib/ai-providers';
import { z } from "zod";
export const maxDuration = 120
// File upload limits (must match client-side)
const MAX_FILE_SIZE = 2 * 1024 * 1024 // 2MB
const MAX_FILES = 5
// Helper function to validate file parts in messages
function validateFileParts(messages: any[]): {
valid: boolean
error?: string
} {
const lastMessage = messages[messages.length - 1]
const fileParts =
lastMessage?.parts?.filter((p: any) => p.type === "file") || []
if (fileParts.length > MAX_FILES) {
return {
valid: false,
error: `Too many files. Maximum ${MAX_FILES} allowed.`,
}
}
for (const filePart of fileParts) {
// Data URLs format: data:image/png;base64,<data>
// Base64 increases size by ~33%, so we check the decoded size
if (filePart.url?.startsWith("data:")) {
const base64Data = filePart.url.split(",")[1]
if (base64Data) {
const sizeInBytes = Math.ceil((base64Data.length * 3) / 4)
if (sizeInBytes > MAX_FILE_SIZE) {
return {
valid: false,
error: `File exceeds ${MAX_FILE_SIZE / 1024 / 1024}MB limit.`,
}
}
}
}
}
return { valid: true }
}
// Helper function to check if diagram is minimal/empty
function isMinimalDiagram(xml: string): boolean {
const stripped = xml.replace(/\s/g, "")
return !stripped.includes('id="2"')
}
// Helper function to replace historical tool call XML with placeholders
// This reduces token usage and forces LLM to rely on the current diagram XML (source of truth)
// Also fixes invalid/undefined inputs from interrupted streaming
function replaceHistoricalToolInputs(messages: any[]): any[] {
return messages.map((msg) => {
if (msg.role !== "assistant" || !Array.isArray(msg.content)) {
return msg
}
const replacedContent = msg.content
.map((part: any) => {
if (part.type === "tool-call") {
const toolName = part.toolName
// Fix invalid/undefined inputs from interrupted streaming
if (
!part.input ||
typeof part.input !== "object" ||
Object.keys(part.input).length === 0
) {
// Skip tool calls with invalid inputs entirely
return null
}
if (
toolName === "display_diagram" ||
toolName === "edit_diagram"
) {
return {
...part,
input: {
placeholder:
"[XML content replaced - see current diagram XML in system context]",
},
}
}
}
return part
})
.filter(Boolean) // Remove null entries (invalid tool calls)
return { ...msg, content: replacedContent }
})
}
// Helper function to create cached stream response
function createCachedStreamResponse(xml: string): Response {
const toolCallId = `cached-${Date.now()}`
const stream = createUIMessageStream({
execute: async ({ writer }) => {
writer.write({ type: "start" })
writer.write({
type: "tool-input-start",
toolCallId,
toolName: "display_diagram",
})
writer.write({
type: "tool-input-delta",
toolCallId,
inputTextDelta: xml,
})
writer.write({
type: "tool-input-available",
toolCallId,
toolName: "display_diagram",
input: { xml },
})
writer.write({ type: "finish" })
},
})
return createUIMessageStreamResponse({ stream })
}
// Inner handler function
async function handleChatRequest(req: Request): Promise<Response> {
// Check for access code
const accessCodes =
process.env.ACCESS_CODE_LIST?.split(",")
.map((code) => code.trim())
.filter(Boolean) || []
if (accessCodes.length > 0) {
const accessCodeHeader = req.headers.get("x-access-code")
if (!accessCodeHeader || !accessCodes.includes(accessCodeHeader)) {
return Response.json(
{
error: "Invalid or missing access code. Please configure it in Settings.",
},
{ status: 401 },
)
}
}
const { messages, xml, previousXml, sessionId } = await req.json()
// Get user IP for Langfuse tracking
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)
const validSessionId =
sessionId && typeof sessionId === "string" && sessionId.length <= 200
? sessionId
: undefined
// Extract user input text for Langfuse trace
const lastMessage = messages[messages.length - 1]
const userInputText =
lastMessage?.parts?.find((p: any) => p.type === "text")?.text || ""
// Update Langfuse trace with input, session, and user
setTraceInput({
input: userInputText,
sessionId: validSessionId,
userId: userId,
})
// === FILE VALIDATION START ===
const fileValidation = validateFileParts(messages)
if (!fileValidation.valid) {
return Response.json({ error: fileValidation.error }, { status: 400 })
}
// === FILE VALIDATION END ===
// === CACHE CHECK START ===
const isFirstMessage = messages.length === 1
const isEmptyDiagram = !xml || xml.trim() === "" || isMinimalDiagram(xml)
if (isFirstMessage && isEmptyDiagram) {
const lastMessage = messages[0]
const textPart = lastMessage.parts?.find((p: any) => p.type === "text")
const filePart = lastMessage.parts?.find((p: any) => p.type === "file")
const cached = findCachedResponse(textPart?.text || "", !!filePart)
if (cached) {
return createCachedStreamResponse(cached.xml)
}
}
// === CACHE CHECK END ===
// Read client AI provider overrides from headers
const clientOverrides = {
provider: req.headers.get("x-ai-provider"),
baseUrl: req.headers.get("x-ai-base-url"),
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"),
}
// 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)
const systemMessage = getSystemPrompt(modelId, minimalStyle)
// Extract file parts (images) from the last message
const fileParts =
lastMessage.parts?.filter((part: any) => part.type === "file") || []
// User input only - XML is now in a separate cached system message
const formattedUserInput = `User input:
"""md
${userInputText}
"""`
// Convert UIMessages to ModelMessages and add system message
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)
// This is a safety measure - ideally convertToModelMessages should handle all cases
let enhancedMessages = placeholderMessages.filter(
(msg: any) =>
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)
if (enhancedMessages.length >= 1) {
const lastModelMessage = enhancedMessages[enhancedMessages.length - 1]
if (lastModelMessage.role === "user") {
// Build content array with user input text and file parts
const contentParts: any[] = [
{ type: "text", text: formattedUserInput },
]
// Add image parts back
for (const filePart of fileParts) {
contentParts.push({
type: "image",
image: filePart.url,
mimeType: filePart.mediaType,
})
}
enhancedMessages = [
...enhancedMessages.slice(0, -1),
{ ...lastModelMessage, content: contentParts },
]
}
}
// Add cache point to the last assistant message in conversation history
// This caches the entire conversation prefix for subsequent requests
// Strategy: system (cached) + history with last assistant (cached) + new user message
if (shouldCache && enhancedMessages.length >= 2) {
// Find the last assistant message (should be second-to-last, before current user message)
for (let i = enhancedMessages.length - 2; i >= 0; i--) {
if (enhancedMessages[i].role === "assistant") {
enhancedMessages[i] = {
...enhancedMessages[i],
providerOptions: {
bedrock: { cachePoint: { type: "default" } },
},
}
break // Only cache the last assistant message
}
}
}
// System messages with multiple cache breakpoints for optimal caching:
// - Breakpoint 1: Static instructions (~1500 tokens) - rarely changes
// - Breakpoint 2: Current XML context - changes per diagram, but constant within a conversation turn
// This allows: if only user message changes, both system caches are reused
// if XML changes, instruction cache is still reused
const systemMessages = [
// Cache breakpoint 1: Instructions (rarely change)
{
role: "system" as const,
content: systemMessage,
...(shouldCache && {
providerOptions: {
bedrock: { cachePoint: { type: "default" } },
},
}),
},
// Cache breakpoint 2: Previous and Current diagram XML context
{
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!`,
...(shouldCache && {
providerOptions: {
bedrock: { cachePoint: { type: "default" } },
},
}),
},
]
const allMessages = [...systemMessages, ...enhancedMessages]
const result = streamText({
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,
...(providerOptions && { providerOptions }), // This now includes all reasoning configs
...(headers && { headers }),
// Langfuse telemetry config (returns undefined if not configured)
...(getTelemetryConfig({ sessionId: validSessionId, userId }) && {
experimental_telemetry: getTelemetryConfig({
sessionId: validSessionId,
userId,
}),
}),
onFinish: ({ text, usage }) => {
// Pass usage to Langfuse (Bedrock streaming doesn't auto-report tokens to telemetry)
setTraceOutput(text, {
promptTokens: usage?.inputTokens,
completionTokens: usage?.outputTokens,
})
},
tools: {
// Client-side tool that will be executed on the client
display_diagram: {
description: `Display a diagram on draw.io. Pass ONLY the mxCell elements - wrapper tags and root cells are added automatically.
VALIDATION RULES (XML will be rejected if violated):
1. Generate ONLY mxCell elements - NO wrapper tags (<mxfile>, <mxGraphModel>, <root>)
2. Do NOT include root cells (id="0" or id="1") - they are added automatically
3. All mxCell elements must be siblings - never nested
4. Every mxCell needs a unique id (start from "2")
5. Every mxCell needs a valid parent attribute (use "1" for top-level)
6. Escape special chars in values: &lt; &gt; &amp; &quot;
Example (generate ONLY this - no wrapper tags):
<mxCell id="lane1" value="Frontend" style="swimlane;" vertex="1" parent="1">
<mxGeometry x="40" y="40" width="200" height="200" as="geometry"/>
</mxCell>
<mxCell id="step1" value="Step 1" style="rounded=1;" vertex="1" parent="lane1">
<mxGeometry x="20" y="60" width="160" height="40" as="geometry"/>
</mxCell>
<mxCell id="lane2" value="Backend" style="swimlane;" vertex="1" parent="1">
<mxGeometry x="280" y="40" width="200" height="200" as="geometry"/>
</mxCell>
<mxCell id="step2" value="Step 2" style="rounded=1;" vertex="1" parent="lane2">
<mxGeometry x="20" y="60" width="160" height="40" as="geometry"/>
</mxCell>
<mxCell id="edge1" style="edgeStyle=orthogonalEdgeStyle;endArrow=classic;" edge="1" parent="1" source="step1" target="step2">
<mxGeometry relative="1" as="geometry"/>
</mxCell>
Notes:
- For AWS diagrams, use **AWS 2025 icons**.
- For animated connectors, add "flowAnimation=1" to edge style.
`,
inputSchema: z.object({
xml: z
.string()
.describe("XML string to be displayed on draw.io"),
}),
},
edit_diagram: {
description: `Edit the current diagram by ID-based operations (update/add/delete cells).
Operations:
- update: Replace an existing cell by its id. Provide cell_id and complete new_xml.
- add: Add a new cell. Provide cell_id (new unique id) and new_xml.
- delete: Remove a cell by its id. Only cell_id is needed.
For update/add, new_xml must be a complete mxCell element including mxGeometry.
⚠️ JSON ESCAPING: Every " inside new_xml MUST be escaped as \\". Example: id=\\"5\\" value=\\"Label\\"`,
inputSchema: z.object({
operations: z
.array(
z.object({
type: z
.enum(["update", "add", "delete"])
.describe("Operation type"),
cell_id: z
.string()
.describe(
"The id of the mxCell. Must match the id attribute in new_xml.",
),
new_xml: z
.string()
.optional()
.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(
"Continuation XML fragment to append (NO wrapper tags)",
),
}),
},
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: parseFloat(process.env.TEMPERATURE),
}),
})
return result.toUIMessageStreamResponse({
sendReasoning: true,
messageMetadata: ({ part }) => {
if (part.type === "finish") {
const usage = (part as any).totalUsage
if (!usage) {
console.warn(
"[messageMetadata] No usage data in finish part",
)
return undefined
}
// Total input = non-cached + cached (these are separate counts)
// Note: cacheWriteInputTokens is not available on finish part
const totalInputTokens =
(usage.inputTokens ?? 0) + (usage.cachedInputTokens ?? 0)
return {
inputTokens: totalInputTokens,
outputTokens: usage.outputTokens ?? 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
async function safeHandler(req: Request): Promise<Response> {
try {
return await handleChatRequest(req)
} catch (error) {
return handleError(error)
}
}
// Wrap with Langfuse observe (if configured)
const observedHandler = wrapWithObserve(safeHandler)
export const maxDuration = 60;
export async function POST(req: Request) {
return observedHandler(req)
try {
const { messages, xml } = await req.json();
const systemMessage = `
You are an expert diagram creation assistant specializing in draw.io XML generation.
Your primary function is crafting clear, well-organized visual diagrams through precise XML specifications.
You can see the image that user uploaded.
Note that when you need to generate diagram about aws architecture, use **AWS 2025 icons**.
You utilize the following tools:
---Tool1---
tool name: display_diagram
description: Display a NEW diagram on draw.io. Use this when creating a diagram from scratch or when major structural changes are needed.
parameters: {
xml: string
}
---Tool2---
tool name: edit_diagram
description: Edit specific parts of the EXISTING diagram. Use this when making small targeted changes like adding/removing elements, changing labels, or adjusting properties. This is more efficient than regenerating the entire diagram.
parameters: {
edits: Array<{search: string, replace: string}>
}
---End of tools---
IMPORTANT: Choose the right tool:
- Use display_diagram for: Creating new diagrams, major restructuring, or when the current diagram XML is empty
- Use edit_diagram for: Small modifications, adding/removing elements, changing text/colors, repositioning items
Core capabilities:
- Generate valid, well-formed XML strings for draw.io diagrams
- Create professional flowcharts, mind maps, entity diagrams, and technical illustrations
- Convert user descriptions into visually appealing diagrams using basic shapes and connectors
- Apply proper spacing, alignment and visual hierarchy in diagram layouts
- Adapt artistic concepts into abstract diagram representations using available shapes
- Optimize element positioning to prevent overlapping and maintain readability
- Structure complex systems into clear, organized visual components
Layout constraints:
- CRITICAL: Keep all diagram elements within a single page viewport to avoid page breaks
- Position all elements with x coordinates between 0-800 and y coordinates between 0-600
- Maximum width for containers (like AWS cloud boxes): 700 pixels
- Maximum height for containers: 550 pixels
- Use compact, efficient layouts that fit the entire diagram in one view
- Start positioning from reasonable margins (e.g., x=40, y=40) and keep elements grouped closely
- For large diagrams with many elements, use vertical stacking or grid layouts that stay within bounds
- Avoid spreading elements too far apart horizontally - users should see the complete diagram without a page break line
Note that:
- Focus on producing clean, professional diagrams that effectively communicate the intended information through thoughtful layout and design choices.
- When artistic drawings are requested, creatively compose them using standard diagram shapes and connectors while maintaining visual clarity.
- Return XML only via tool calls, never in text responses.
- If user asks you to replicate a diagram based on an image, remember to match the diagram style and layout as closely as possible. Especially, pay attention to the lines and shapes, for example, if the lines are straight or curved, and if the shapes are rounded or square.
- Note that when you need to generate diagram about aws architecture, use **AWS 2025 icons**.
When using edit_diagram tool:
- Keep edits minimal - only include the specific line being changed plus 1-2 context lines
- Example GOOD edit: {"search": " <mxCell id=\"2\" value=\"Old Text\">", "replace": " <mxCell id=\"2\" value=\"New Text\">"}
- Example BAD edit: Including 10+ unchanged lines just to change one attribute
- For multiple changes, use separate edits: [{"search": "line1", "replace": "new1"}, {"search": "line2", "replace": "new2"}]
- RETRY POLICY: If edit_diagram fails because the search pattern cannot be found:
* You may retry edit_diagram up to 3 times with adjusted search patterns
* After 3 failed attempts, you MUST fall back to using display_diagram to regenerate the entire diagram
* The error message will indicate how many retries remain
`;
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 = lastMessage.parts?.filter((part: any) => part.type === 'file') || [];
const formattedTextContent = `
Current diagram XML:
"""xml
${xml || ''}
"""
User input:
"""md
${lastMessageText}
"""`;
// Convert UIMessages to ModelMessages and add system message
const modelMessages = convertToModelMessages(messages);
let enhancedMessages = [...modelMessages];
// Update the last message with formatted content if it's a user message
if (enhancedMessages.length >= 1) {
const lastModelMessage = enhancedMessages[enhancedMessages.length - 1];
if (lastModelMessage.role === 'user') {
// Build content array with text and file parts
const contentParts: any[] = [
{ type: 'text', text: formattedTextContent }
];
// Add image parts back
for (const filePart of fileParts) {
contentParts.push({
type: 'image',
image: filePart.url,
mimeType: filePart.mediaType
});
}
enhancedMessages = [
...enhancedMessages.slice(0, -1),
{ ...lastModelMessage, content: contentParts }
];
}
}
console.log("Enhanced messages:", enhancedMessages);
// Get AI model from environment configuration
const { model, providerOptions } = getAIModel();
const result = streamText({
model,
system: systemMessage,
messages: enhancedMessages,
...(providerOptions && { providerOptions }),
tools: {
// Client-side tool that will be executed on the client
display_diagram: {
description: `Display a diagram on draw.io. You only need to pass the nodes inside the <root> tag (including the <root> tag itself) in the XML string.
For example:
<root>
<mxCell id="0"/>
<mxCell id="1" parent="0"/>
<mxGeometry x="20" y="20" width="100" height="100" as="geometry"/>
<mxCell id="2" value="Hello, World!" style="shape=rectangle" parent="1">
<mxGeometry x="20" y="20" width="100" height="100" as="geometry"/>
</mxCell>
</root>
- Note that when you need to generate diagram about aws architecture, use **AWS 2025 icons**.
- If you are asked to generate animated connectors, make sure to include "flowAnimation=1" in the style of the connector elements.
`,
inputSchema: z.object({
xml: z.string().describe("XML string to be displayed on draw.io")
})
},
edit_diagram: {
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.
IMPORTANT: Keep edits concise:
- Only include the lines that are changing, plus 1-2 surrounding lines for context if needed
- Break large changes into multiple smaller edits
- Each search must contain complete lines (never truncate mid-line)
- First match only - be specific enough to target the right element`,
inputSchema: z.object({
edits: z.array(z.object({
search: z.string().describe("Exact lines to search for (including whitespace and indentation)"),
replace: z.string().describe("Replacement lines")
})).describe("Array of search/replace pairs to apply sequentially")
})
},
},
temperature: 0,
});
// Error handler function to provide detailed error messages
function errorHandler(error: unknown) {
if (error == null) {
return 'unknown error';
}
if (typeof error === 'string') {
return error;
}
if (error instanceof Error) {
return error.message;
}
return JSON.stringify(error);
}
return result.toUIMessageStreamResponse({
onError: errorHandler,
});
} catch (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>`
Contains all the cells in the diagram. **Note:** When generating diagrams, you only need to provide the mxCell elements - the root container and root cells (id="0", id="1") are added automatically.
Contains all the cells in the diagram.
**Internal structure (auto-generated):**
**Example:**
```xml
<root>
<mxCell id="0"/> <!-- Auto-added -->
<mxCell id="1" parent="0"/> <!-- Auto-added -->
<!-- Your mxCell elements go here (start from id="2") -->
<mxCell id="0"/>
<mxCell id="1" parent="0"/>
<!-- Other cells go here -->
</root>
```
@@ -202,15 +203,14 @@ Draw.io files contain two special cells that are always present:
1. **Root Cell** (id = "0"): The parent of all cells
2. **Default Parent Cell** (id = "1", parent = "0"): The default layer and parent for most cells
## Tips for Creating Draw.io XML
## Tips for Manually Creating Draw.io XML
1. **Generate ONLY mxCell elements** - wrapper tags and root cells (id="0", id="1") are added automatically
2. Start IDs from "2" (id="0" and id="1" are reserved for root cells)
1. Start with the basic structure (`mxfile`, `diagram`, `mxGraphModel`, `root`)
2. Always include the two special cells (id = "0" and id = "1")
3. Assign unique and sequential IDs to all cells
4. Define parent relationships correctly (use parent="1" for top-level shapes)
4. Define parent relationships correctly
5. Use `mxGeometry` elements to position shapes
6. For connectors, specify `source` and `target` attributes
7. **CRITICAL: All mxCell elements must be siblings. NEVER nest mxCell inside another mxCell.**
## Common Patterns
@@ -234,33 +234,12 @@ To group elements, create a parent cell and set other cells' `parent` attribute
### Swimlanes
Swimlanes use the `swimlane` shape style. **IMPORTANT: All mxCell elements (swimlanes, steps, and edges) must be siblings under `<root>`. Edges are NOT nested inside swimlanes or steps.**
Swimlanes use the `swimlane` shape style:
```xml
<root>
<mxCell id="0"/>
<mxCell id="1" parent="0"/>
<!-- Swimlane 1 -->
<mxCell id="lane1" value="Frontend" style="swimlane;startSize=30;" vertex="1" parent="1">
<mxGeometry x="40" y="40" width="200" height="300" as="geometry"/>
</mxCell>
<!-- Swimlane 2 -->
<mxCell id="lane2" value="Backend" style="swimlane;startSize=30;" vertex="1" parent="1">
<mxGeometry x="280" y="40" width="200" height="300" as="geometry"/>
</mxCell>
<!-- Step inside lane1 (parent="lane1") -->
<mxCell id="step1" value="Send Request" style="rounded=1;" vertex="1" parent="lane1">
<mxGeometry x="20" y="60" width="160" height="40" as="geometry"/>
</mxCell>
<!-- Step inside lane2 (parent="lane2") -->
<mxCell id="step2" value="Process" style="rounded=1;" vertex="1" parent="lane2">
<mxGeometry x="20" y="60" width="160" height="40" as="geometry"/>
</mxCell>
<!-- Edge connecting step1 to step2 (sibling element, NOT nested inside steps) -->
<mxCell id="edge1" style="edgeStyle=orthogonalEdgeStyle;endArrow=classic;" edge="1" parent="1" source="step1" target="step2">
<mxGeometry relative="1" as="geometry"/>
</mxCell>
</root>
<mxCell id="20" value="Swimlane 1" style="swimlane;fontStyle=0;childLayout=stackLayout;horizontal=1;startSize=30;horizontalStack=0;resizeParent=1;resizeParentMax=0;resizeLast=0;collapsible=1;marginBottom=0;whiteSpace=wrap;html=1;" vertex="1" parent="1">
<mxGeometry x="200" y="200" width="140" height="120" as="geometry" />
</mxCell>
```
### Tables

View File

@@ -1,10 +0,0 @@
import { NextResponse } from "next/server"
export async function GET() {
return NextResponse.json({
accessCodeRequired: !!process.env.ACCESS_CODE_LIST,
dailyRequestLimit: Number(process.env.DAILY_REQUEST_LIMIT) || 0,
dailyTokenLimit: Number(process.env.DAILY_TOKEN_LIMIT) || 0,
tpmLimit: Number(process.env.TPM_LIMIT) || 0,
})
}

View File

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

View File

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

View File

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

View File

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

View File

@@ -1,259 +1,123 @@
@import "tailwindcss";
@plugin "tailwindcss-animate";
@plugin "@tailwindcss/typography";
@custom-variant dark (&:is(.dark *));
@theme inline {
--color-background: var(--background);
--color-foreground: var(--foreground);
--font-sans: var(--font-sans);
--font-mono: var(--font-mono);
--color-sidebar-ring: var(--sidebar-ring);
--color-sidebar-border: var(--sidebar-border);
--color-sidebar-accent-foreground: var(--sidebar-accent-foreground);
--color-sidebar-accent: var(--sidebar-accent);
--color-sidebar-primary-foreground: var(--sidebar-primary-foreground);
--color-sidebar-primary: var(--sidebar-primary);
--color-sidebar-foreground: var(--sidebar-foreground);
--color-sidebar: var(--sidebar);
--color-chart-5: var(--chart-5);
--color-chart-4: var(--chart-4);
--color-chart-3: var(--chart-3);
--color-chart-2: var(--chart-2);
--color-chart-1: var(--chart-1);
--color-ring: var(--ring);
--color-input: var(--input);
--color-border: var(--border);
--color-destructive: var(--destructive);
--color-accent-foreground: var(--accent-foreground);
--color-accent: var(--accent);
--color-muted-foreground: var(--muted-foreground);
--color-muted: var(--muted);
--color-secondary-foreground: var(--secondary-foreground);
--color-secondary: var(--secondary);
--color-primary-foreground: var(--primary-foreground);
--color-primary: var(--primary);
--color-popover-foreground: var(--popover-foreground);
--color-popover: var(--popover);
--color-card-foreground: var(--card-foreground);
--color-card: var(--card);
--radius-sm: calc(var(--radius) - 4px);
--radius-md: calc(var(--radius) - 2px);
--radius-lg: var(--radius);
--radius-xl: calc(var(--radius) + 4px);
--color-background: var(--background);
--color-foreground: var(--foreground);
--font-sans: var(--font-geist-sans);
--font-mono: var(--font-geist-mono);
--color-sidebar-ring: var(--sidebar-ring);
--color-sidebar-border: var(--sidebar-border);
--color-sidebar-accent-foreground: var(--sidebar-accent-foreground);
--color-sidebar-accent: var(--sidebar-accent);
--color-sidebar-primary-foreground: var(--sidebar-primary-foreground);
--color-sidebar-primary: var(--sidebar-primary);
--color-sidebar-foreground: var(--sidebar-foreground);
--color-sidebar: var(--sidebar);
--color-chart-5: var(--chart-5);
--color-chart-4: var(--chart-4);
--color-chart-3: var(--chart-3);
--color-chart-2: var(--chart-2);
--color-chart-1: var(--chart-1);
--color-ring: var(--ring);
--color-input: var(--input);
--color-border: var(--border);
--color-destructive: var(--destructive);
--color-accent-foreground: var(--accent-foreground);
--color-accent: var(--accent);
--color-muted-foreground: var(--muted-foreground);
--color-muted: var(--muted);
--color-secondary-foreground: var(--secondary-foreground);
--color-secondary: var(--secondary);
--color-primary-foreground: var(--primary-foreground);
--color-primary: var(--primary);
--color-popover-foreground: var(--popover-foreground);
--color-popover: var(--popover);
--color-card-foreground: var(--card-foreground);
--color-card: var(--card);
--radius-sm: calc(var(--radius) - 4px);
--radius-md: calc(var(--radius) - 2px);
--radius-lg: var(--radius);
--radius-xl: calc(var(--radius) + 4px);
}
:root {
--radius: 0.75rem;
/* Clean Light Modern Palette */
--background: oklch(0.985 0.002 240);
--foreground: oklch(0.23 0.02 260);
--card: oklch(1 0 0);
--card-foreground: oklch(0.23 0.02 260);
--popover: oklch(1 0 0);
--popover-foreground: oklch(0.23 0.02 260);
/* Dark primary - slightly lighter */
--primary: oklch(0.35 0.01 260);
--primary-foreground: oklch(0.99 0 0);
/* Warm gray secondary */
--secondary: oklch(0.96 0.005 260);
--secondary-foreground: oklch(0.35 0.02 260);
/* Light muted tones */
--muted: oklch(0.965 0.005 260);
--muted-foreground: oklch(0.5 0.02 260);
/* Soft lavender accent */
--accent: oklch(0.94 0.03 280);
--accent-foreground: oklch(0.35 0.08 270);
/* Coral destructive */
--destructive: oklch(0.6 0.2 25);
/* Subtle borders */
--border: oklch(0.92 0.01 260);
--input: oklch(0.94 0.01 260);
--ring: oklch(0.25 0.01 260);
/* Chart colors - harmonious palette */
--chart-1: oklch(0.55 0.18 265);
--chart-2: oklch(0.65 0.15 170);
--chart-3: oklch(0.7 0.18 45);
--chart-4: oklch(0.6 0.2 330);
--chart-5: oklch(0.5 0.15 200);
/* Sidebar */
--sidebar: oklch(0.99 0.002 260);
--sidebar-foreground: oklch(0.23 0.02 260);
--sidebar-primary: oklch(0.55 0.18 265);
--sidebar-primary-foreground: oklch(0.99 0 0);
--sidebar-accent: oklch(0.96 0.02 270);
--sidebar-accent-foreground: oklch(0.35 0.05 265);
--sidebar-border: oklch(0.93 0.01 260);
--sidebar-ring: oklch(0.55 0.18 265);
--radius: 0.625rem;
--background: oklch(1 0 0);
--foreground: oklch(0.145 0 0);
--card: oklch(1 0 0);
--card-foreground: oklch(0.145 0 0);
--popover: oklch(1 0 0);
--popover-foreground: oklch(0.145 0 0);
--primary: oklch(0.205 0 0);
--primary-foreground: oklch(0.985 0 0);
--secondary: oklch(0.97 0 0);
--secondary-foreground: oklch(0.205 0 0);
--muted: oklch(0.97 0 0);
--muted-foreground: oklch(0.556 0 0);
--accent: oklch(0.97 0 0);
--accent-foreground: oklch(0.205 0 0);
--destructive: oklch(0.577 0.245 27.325);
--border: oklch(0.922 0 0);
--input: oklch(0.922 0 0);
--ring: oklch(0.708 0 0);
--chart-1: oklch(0.646 0.222 41.116);
--chart-2: oklch(0.6 0.118 184.704);
--chart-3: oklch(0.398 0.07 227.392);
--chart-4: oklch(0.828 0.189 84.429);
--chart-5: oklch(0.769 0.188 70.08);
--sidebar: oklch(0.985 0 0);
--sidebar-foreground: oklch(0.145 0 0);
--sidebar-primary: oklch(0.205 0 0);
--sidebar-primary-foreground: oklch(0.985 0 0);
--sidebar-accent: oklch(0.97 0 0);
--sidebar-accent-foreground: oklch(0.205 0 0);
--sidebar-border: oklch(0.922 0 0);
--sidebar-ring: oklch(0.708 0 0);
}
.dark {
--background: oklch(0.15 0.015 260);
--foreground: oklch(0.95 0.01 260);
--card: oklch(0.2 0.015 260);
--card-foreground: oklch(0.95 0.01 260);
--popover: oklch(0.2 0.015 260);
--popover-foreground: oklch(0.95 0.01 260);
--primary: oklch(0.7 0.16 265);
--primary-foreground: oklch(0.15 0.02 260);
--secondary: oklch(0.25 0.015 260);
--secondary-foreground: oklch(0.9 0.01 260);
--muted: oklch(0.25 0.015 260);
--muted-foreground: oklch(0.65 0.02 260);
--accent: oklch(0.3 0.04 280);
--accent-foreground: oklch(0.9 0.03 270);
--destructive: oklch(0.65 0.22 25);
--border: oklch(0.28 0.015 260);
--input: oklch(0.25 0.015 260);
--ring: oklch(0.7 0.16 265);
--chart-1: oklch(0.7 0.16 265);
--chart-2: oklch(0.7 0.13 170);
--chart-3: oklch(0.75 0.16 45);
--chart-4: oklch(0.7 0.18 330);
--chart-5: oklch(0.6 0.13 200);
--sidebar: oklch(0.18 0.015 260);
--sidebar-foreground: oklch(0.95 0.01 260);
--sidebar-primary: oklch(0.7 0.16 265);
--sidebar-primary-foreground: oklch(0.15 0.02 260);
--sidebar-accent: oklch(0.25 0.03 270);
--sidebar-accent-foreground: oklch(0.9 0.02 265);
--sidebar-border: oklch(0.28 0.015 260);
--sidebar-ring: oklch(0.7 0.16 265);
--background: oklch(0.145 0 0);
--foreground: oklch(0.985 0 0);
--card: oklch(0.205 0 0);
--card-foreground: oklch(0.985 0 0);
--popover: oklch(0.205 0 0);
--popover-foreground: oklch(0.985 0 0);
--primary: oklch(0.922 0 0);
--primary-foreground: oklch(0.205 0 0);
--secondary: oklch(0.269 0 0);
--secondary-foreground: oklch(0.985 0 0);
--muted: oklch(0.269 0 0);
--muted-foreground: oklch(0.708 0 0);
--accent: oklch(0.269 0 0);
--accent-foreground: oklch(0.985 0 0);
--destructive: oklch(0.704 0.191 22.216);
--border: oklch(1 0 0 / 10%);
--input: oklch(1 0 0 / 15%);
--ring: oklch(0.556 0 0);
--chart-1: oklch(0.488 0.243 264.376);
--chart-2: oklch(0.696 0.17 162.48);
--chart-3: oklch(0.769 0.188 70.08);
--chart-4: oklch(0.627 0.265 303.9);
--chart-5: oklch(0.645 0.246 16.439);
--sidebar: oklch(0.205 0 0);
--sidebar-foreground: oklch(0.985 0 0);
--sidebar-primary: oklch(0.488 0.243 264.376);
--sidebar-primary-foreground: oklch(0.985 0 0);
--sidebar-accent: oklch(0.269 0 0);
--sidebar-accent-foreground: oklch(0.985 0 0);
--sidebar-border: oklch(1 0 0 / 10%);
--sidebar-ring: oklch(0.556 0 0);
}
@layer base {
* {
@apply border-border outline-ring/50;
}
body {
@apply bg-background text-foreground font-sans;
}
}
/* Fix for Radix ScrollArea viewport horizontal overflow */
[data-slot="scroll-area-viewport"] > div {
display: block !important;
width: 100% !important;
}
/* Custom scrollbar */
@layer utilities {
.scrollbar-thin {
scrollbar-width: thin;
scrollbar-color: oklch(0.85 0.01 260) transparent;
}
.scrollbar-thin::-webkit-scrollbar {
width: 6px;
}
.scrollbar-thin::-webkit-scrollbar-track {
background: transparent;
}
.scrollbar-thin::-webkit-scrollbar-thumb {
background-color: oklch(0.85 0.01 260);
border-radius: 3px;
}
.scrollbar-thin::-webkit-scrollbar-thumb:hover {
background-color: oklch(0.75 0.01 260);
}
}
/* Smooth page transitions */
@keyframes fadeIn {
from {
opacity: 0;
transform: translateY(8px);
}
to {
opacity: 1;
transform: translateY(0);
}
}
@keyframes slideInRight {
from {
opacity: 0;
transform: translateX(16px);
}
to {
opacity: 1;
transform: translateX(0);
}
}
.animate-fade-in {
animation: fadeIn 0.3s ease-out forwards;
}
.animate-slide-in-right {
animation: slideInRight 0.3s ease-out forwards;
}
/* Message bubble animations */
@keyframes messageIn {
from {
opacity: 0;
transform: translateY(12px) scale(0.98);
}
to {
opacity: 1;
transform: translateY(0) scale(1);
}
}
.animate-message-in {
animation: messageIn 0.25s ease-out forwards;
}
/* Subtle floating shadow for cards */
.shadow-soft {
box-shadow:
0 1px 2px oklch(0.23 0.02 260 / 0.04),
0 4px 12px oklch(0.23 0.02 260 / 0.06),
0 8px 24px oklch(0.23 0.02 260 / 0.04);
}
.shadow-soft-lg {
box-shadow:
0 2px 4px oklch(0.23 0.02 260 / 0.04),
0 8px 20px oklch(0.23 0.02 260 / 0.08),
0 16px 40px oklch(0.23 0.02 260 / 0.06);
}
/* Gradient text utility */
.text-gradient-primary {
background: linear-gradient(
135deg,
oklch(0.55 0.18 265),
oklch(0.6 0.2 290)
);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
background-clip: text;
* {
@apply border-border outline-ring/50;
}
body {
@apply bg-background text-foreground;
}
}

101
app/layout.tsx Normal file
View File

@@ -0,0 +1,101 @@
import type { Metadata } from "next";
import { Geist, Geist_Mono } from "next/font/google";
import { Analytics } from "@vercel/analytics/react";
import { DiagramProvider } from "@/contexts/diagram-context";
import "./globals.css";
const geistSans = Geist({
variable: "--font-geist-sans",
subsets: ["latin"],
});
const geistMono = Geist_Mono({
variable: "--font-geist-mono",
subsets: ["latin"],
});
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={`${geistSans.variable} ${geistMono.variable} antialiased`}
>
<DiagramProvider>{children}</DiagramProvider>
<Analytics />
</body>
</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",
},
],
}
}

76
app/page.tsx Normal file
View File

@@ -0,0 +1,76 @@
"use client";
import React, { useState, useEffect } from "react";
import { DrawIoEmbed } from "react-drawio";
import ChatPanel from "@/components/chat-panel";
import { useDiagram } from "@/contexts/diagram-context";
export default function Home() {
const { drawioRef, handleDiagramExport } = useDiagram();
const [isMobile, setIsMobile] = useState(false);
const [isChatVisible, setIsChatVisible] = useState(true);
useEffect(() => {
const checkMobile = () => {
setIsMobile(window.innerWidth < 768);
};
// Check on mount
checkMobile();
// Add event listener for resize
window.addEventListener("resize", checkMobile);
// Cleanup
return () => window.removeEventListener("resize", checkMobile);
}, []);
// Add keyboard shortcut for toggling chat panel (Ctrl+B)
useEffect(() => {
const handleKeyDown = (event: KeyboardEvent) => {
if ((event.ctrlKey || event.metaKey) && event.key === 'b') {
event.preventDefault();
setIsChatVisible((prev) => !prev);
}
};
window.addEventListener('keydown', handleKeyDown);
return () => {
window.removeEventListener('keydown', handleKeyDown);
};
}, []);
return (
<div className="flex h-screen bg-gray-100 relative">
{/* Mobile warning overlay - keeps components mounted */}
{isMobile && (
<div className="absolute inset-0 z-50 flex items-center justify-center bg-gray-100">
<div className="text-center p-8">
<h1 className="text-2xl font-semibold text-gray-800">
Please open this application on a desktop or laptop
</h1>
</div>
</div>
)}
<div className={`${isChatVisible ? 'w-2/3' : 'w-full'} p-1 h-full relative transition-all duration-300 ease-in-out`}>
<DrawIoEmbed
ref={drawioRef}
onExport={handleDiagramExport}
urlParameters={{
spin: true,
libraries: false,
saveAndExit: false,
noExitBtn: true,
}}
/>
</div>
<div className={`${isChatVisible ? 'w-1/3' : 'w-12'} h-full p-1 transition-all duration-300 ease-in-out`}>
<ChatPanel
isVisible={isChatVisible}
onToggleVisibility={() => setIsChatVisible(!isChatVisible)}
/>
</div>
</div>
);
}

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

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

View File

@@ -1,219 +1,82 @@
"use client"
import {
Cloud,
FileText,
GitBranch,
Palette,
Terminal,
Zap,
} from "lucide-react"
import { useDictionary } from "@/hooks/use-dictionary"
import { getAssetUrl } from "@/lib/base-path"
interface ExampleCardProps {
icon: React.ReactNode
title: string
description: string
onClick: () => void
isNew?: boolean
}
function ExampleCard({
icon,
title,
description,
onClick,
isNew,
}: ExampleCardProps) {
const dict = useDictionary()
return (
<button
onClick={onClick}
className={`group w-full text-left p-4 rounded-xl border bg-card hover:bg-accent/50 hover:border-primary/30 transition-all duration-200 hover:shadow-sm ${
isNew
? "border-primary/40 ring-1 ring-primary/20"
: "border-border/60"
}`}
>
<div className="flex items-start gap-3">
<div
className={`w-9 h-9 rounded-lg flex items-center justify-center shrink-0 transition-colors ${
isNew
? "bg-primary/20 group-hover:bg-primary/25"
: "bg-primary/10 group-hover:bg-primary/15"
}`}
>
{icon}
</div>
<div className="min-w-0">
<div className="flex items-center gap-2">
<h3 className="text-sm font-medium text-foreground group-hover:text-primary transition-colors">
{title}
</h3>
{isNew && (
<span className="px-1.5 py-0.5 text-[10px] font-semibold bg-primary text-primary-foreground rounded">
{dict.common.new}
</span>
)}
</div>
<p className="text-xs text-muted-foreground mt-0.5 line-clamp-2">
{description}
</p>
</div>
</div>
</button>
)
}
export default function ExamplePanel({
setInput,
setFiles,
}: {
setInput: (input: string) => void
setFiles: (files: File[]) => void
setInput: (input: string) => void;
setFiles: (files: File[]) => void;
}) {
const dict = useDictionary()
// New handler for the "Replicate this flowchart" button
const handleReplicateFlowchart = async () => {
setInput("Replicate this flowchart.")
setInput("Replicate this flowchart.");
try {
const response = await fetch(getAssetUrl("/example.png"))
const blob = await response.blob()
const file = new File([blob], "example.png", { type: "image/png" })
setFiles([file])
// Fetch the example image
const response = await fetch("/example.png");
const blob = await response.blob();
const file = new File([blob], "example.png", { type: "image/png" });
// Set the file to the files state
setFiles([file]);
} catch (error) {
console.error(dict.errors.failedToLoadExample, error)
console.error("Error loading example image:", error);
}
}
};
// Handler for the "Replicate this in aws style" button
const handleReplicateArchitecture = async () => {
setInput("Replicate this in aws style")
setInput("Replicate this in aws style");
try {
const response = await fetch(getAssetUrl("/architecture.png"))
const blob = await response.blob()
// Fetch the architecture image
const response = await fetch("/architecture.png");
const blob = await response.blob();
const file = new File([blob], "architecture.png", {
type: "image/png",
})
setFiles([file])
});
// Set the file to the files state
setFiles([file]);
} catch (error) {
console.error(dict.errors.failedToLoadExample, error)
console.error("Error loading architecture image:", error);
}
}
const handlePdfExample = async () => {
setInput("Summarize this paper as a diagram")
try {
const response = await fetch(getAssetUrl("/chain-of-thought.txt"))
const blob = await response.blob()
const file = new File([blob], "chain-of-thought.txt", {
type: "text/plain",
})
setFiles([file])
} catch (error) {
console.error(dict.errors.failedToLoadExample, error)
}
}
};
return (
<div className="py-6 px-2 animate-fade-in">
{/* MCP Server Notice */}
<a
href="https://github.com/DayuanJiang/next-ai-draw-io/tree/main/packages/mcp-server"
target="_blank"
rel="noopener noreferrer"
className="block mb-4 p-3 rounded-xl bg-gradient-to-r from-purple-500/10 to-blue-500/10 border border-purple-500/20 hover:border-purple-500/40 transition-colors group"
>
<div className="flex items-center gap-3">
<div className="w-8 h-8 rounded-lg bg-purple-500/20 flex items-center justify-center shrink-0">
<Terminal className="w-4 h-4 text-purple-500" />
</div>
<div className="min-w-0">
<div className="flex items-center gap-2">
<span className="text-sm font-medium text-foreground group-hover:text-purple-500 transition-colors">
{dict.examples.mcpServer}
</span>
<span className="px-1.5 py-0.5 text-[10px] font-semibold bg-purple-500 text-white rounded">
{dict.examples.preview}
</span>
</div>
<p className="text-xs text-muted-foreground">
{dict.examples.mcpDescription}
</p>
</div>
</div>
</a>
{/* Welcome section */}
<div className="text-center mb-6">
<h2 className="text-lg font-semibold text-foreground mb-2">
{dict.examples.title}
</h2>
<p className="text-sm text-muted-foreground max-w-xs mx-auto">
{dict.examples.subtitle}
</p>
</div>
{/* Examples grid */}
<div className="space-y-3">
<p className="text-xs font-medium text-muted-foreground uppercase tracking-wider px-1">
{dict.examples.quickExamples}
</p>
<div className="grid gap-2">
<ExampleCard
icon={<FileText className="w-4 h-4 text-primary" />}
title={dict.examples.paperToDiagram}
description={dict.examples.paperDescription}
onClick={handlePdfExample}
isNew
/>
<ExampleCard
icon={<Zap className="w-4 h-4 text-primary" />}
title={dict.examples.animatedDiagram}
description={dict.examples.animatedDescription}
onClick={() => {
setInput(
"Give me a **animated connector** diagram of transformer's architecture",
)
setFiles([])
}}
/>
<ExampleCard
icon={<Cloud className="w-4 h-4 text-primary" />}
title={dict.examples.awsArchitecture}
description={dict.examples.awsDescription}
onClick={handleReplicateArchitecture}
/>
<ExampleCard
icon={<GitBranch className="w-4 h-4 text-primary" />}
title={dict.examples.replicateFlowchart}
description={dict.examples.replicateDescription}
onClick={handleReplicateFlowchart}
/>
<ExampleCard
icon={<Palette className="w-4 h-4 text-primary" />}
title={dict.examples.creativeDrawing}
description={dict.examples.creativeDescription}
onClick={() => {
setInput("Draw a cat for me")
setFiles([])
}}
/>
</div>
<p className="text-[11px] text-muted-foreground/60 text-center mt-4">
{dict.examples.cachedNote}
</p>
<div className="px-4 py-2 border-t border-b border-gray-100">
<p className="text-sm text-gray-500 mb-2">
{" "}
Start a conversation to generate or modify diagrams.
</p>
<p className="text-sm text-gray-500 mb-2">
{" "}
You can also upload images to use as references.
</p>
<p className="text-sm text-gray-500 mb-2">Try these examples:</p>
<div className="flex flex-wrap gap-5">
<button
className="text-xs bg-gray-100 hover:bg-gray-200 text-gray-800 font-medium py-1 px-2 rounded"
onClick={() => setInput("Give me a **animated connector** diagram of transformer's architecture")}
>
Draw diagram with Animated Connectors
</button>
<button
className="text-xs bg-gray-100 hover:bg-gray-200 text-gray-800 font-medium py-1 px-2 rounded"
onClick={handleReplicateArchitecture}
>
Create AWS architecture
</button>
<button
className="text-xs bg-gray-100 hover:bg-gray-200 text-gray-800 font-medium py-1 px-2 rounded"
onClick={handleReplicateFlowchart}
>
Replicate flowchart
</button>
<button
className="text-xs bg-gray-100 hover:bg-gray-200 text-gray-800 font-medium py-1 px-2 rounded"
onClick={() => setInput("Draw a cat for me")}
>
Draw a cat
</button>
</div>
</div>
)
);
}

View File

@@ -1,168 +1,31 @@
"use client"
"use client";
import React, { useCallback, useRef, useEffect, useState } from "react";
import { Button } from "@/components/ui/button";
import { Textarea } from "@/components/ui/textarea";
import { ResetWarningModal } from "@/components/reset-warning-modal";
import {
Download,
History,
Image as ImageIcon,
Loader2,
Send,
Trash2,
} from "lucide-react"
import type React from "react"
import { useCallback, useEffect, useRef, useState } from "react"
import { toast } from "sonner"
import { ButtonWithTooltip } from "@/components/button-with-tooltip"
import { ErrorToast } from "@/components/error-toast"
import { HistoryDialog } from "@/components/history-dialog"
import { ModelSelector } from "@/components/model-selector"
import { ResetWarningModal } from "@/components/reset-warning-modal"
import { SaveDialog } from "@/components/save-dialog"
import { Button } from "@/components/ui/button"
import { Switch } from "@/components/ui/switch"
import { Textarea } from "@/components/ui/textarea"
import {
Tooltip,
TooltipContent,
TooltipTrigger,
} from "@/components/ui/tooltip"
import { useDiagram } from "@/contexts/diagram-context"
import { useDictionary } from "@/hooks/use-dictionary"
import { formatMessage } from "@/lib/i18n/utils"
import { isPdfFile, isTextFile } from "@/lib/pdf-utils"
import type { FlattenedModel } from "@/lib/types/model-config"
import { FilePreviewList } from "./file-preview-list"
const MAX_IMAGE_SIZE = 2 * 1024 * 1024 // 2MB
const MAX_FILES = 5
function isValidFileType(file: File): boolean {
return file.type.startsWith("image/") || isPdfFile(file) || isTextFile(file)
}
function formatFileSize(bytes: number): string {
const mb = bytes / 1024 / 1024
if (mb < 0.01) return `${(bytes / 1024).toFixed(0)}KB`
return `${mb.toFixed(2)}MB`
}
function showErrorToast(message: React.ReactNode) {
toast.custom(
(t) => (
<ErrorToast message={message} onDismiss={() => toast.dismiss(t)} />
),
{ duration: 5000 },
)
}
interface ValidationResult {
validFiles: File[]
errors: string[]
}
function validateFiles(
newFiles: File[],
existingCount: number,
dict: any,
): ValidationResult {
const errors: string[] = []
const validFiles: File[] = []
const availableSlots = MAX_FILES - existingCount
if (availableSlots <= 0) {
errors.push(formatMessage(dict.errors.maxFiles, { max: MAX_FILES }))
return { validFiles, errors }
}
for (const file of newFiles) {
if (validFiles.length >= availableSlots) {
errors.push(
formatMessage(dict.errors.onlyMoreAllowed, {
slots: availableSlots,
}),
)
break
}
if (!isValidFileType(file)) {
errors.push(
formatMessage(dict.errors.unsupportedType, { name: file.name }),
)
continue
}
// Only check size for images (PDFs/text files are extracted client-side, so file size doesn't matter)
const isExtractedFile = isPdfFile(file) || isTextFile(file)
if (!isExtractedFile && file.size > MAX_IMAGE_SIZE) {
const maxSizeMB = MAX_IMAGE_SIZE / 1024 / 1024
errors.push(
formatMessage(dict.errors.fileExceeds, {
name: file.name,
size: formatFileSize(file.size),
max: maxSizeMB,
}),
)
} else {
validFiles.push(file)
}
}
return { validFiles, errors }
}
function showValidationErrors(errors: string[], dict: any) {
if (errors.length === 0) return
if (errors.length === 1) {
showErrorToast(
<span className="text-muted-foreground">{errors[0]}</span>,
)
} else {
showErrorToast(
<div className="flex flex-col gap-1">
<span className="font-medium">
{formatMessage(dict.errors.filesRejected, {
count: errors.length,
})}
</span>
<ul className="text-muted-foreground text-xs list-disc list-inside">
{errors.slice(0, 3).map((err) => (
<li key={err}>{err}</li>
))}
{errors.length > 3 && (
<li>
{formatMessage(dict.errors.andMore, {
count: errors.length - 3,
})}
</li>
)}
</ul>
</div>,
)
}
}
RotateCcw,
Image as ImageIcon,
History,
} from "lucide-react";
import { ButtonWithTooltip } from "@/components/button-with-tooltip";
import { FilePreviewList } from "./file-preview-list";
import { useDiagram } from "@/contexts/diagram-context";
import { HistoryDialog } from "@/components/history-dialog";
interface ChatInputProps {
input: string
status: "submitted" | "streaming" | "ready" | "error"
onSubmit: (e: React.FormEvent<HTMLFormElement>) => void
onChange: (e: React.ChangeEvent<HTMLTextAreaElement>) => void
onClearChat: () => void
files?: File[]
onFileChange?: (files: File[]) => void
pdfData?: Map<
File,
{ text: string; charCount: number; isExtracting: boolean }
>
showHistory?: boolean
onToggleHistory?: (show: boolean) => void
sessionId?: string
error?: Error | null
minimalStyle?: boolean
onMinimalStyleChange?: (value: boolean) => void
// Model selector props
models?: FlattenedModel[]
selectedModelId?: string
onModelSelect?: (modelId: string | undefined) => void
onConfigureModels?: () => void
input: string;
status: "submitted" | "streaming" | "ready" | "error";
onSubmit: (e: React.FormEvent<HTMLFormElement>) => void;
onChange: (e: React.ChangeEvent<HTMLTextAreaElement>) => void;
onClearChat: () => void;
files?: File[];
onFileChange?: (files: File[]) => void;
showHistory?: boolean;
onToggleHistory?: (show: boolean) => void;
}
export function ChatInput({
@@ -173,340 +36,245 @@ export function ChatInput({
onClearChat,
files = [],
onFileChange = () => {},
pdfData = new Map(),
showHistory = false,
onToggleHistory = () => {},
sessionId,
error = null,
minimalStyle = false,
onMinimalStyleChange = () => {},
models = [],
selectedModelId,
onModelSelect = () => {},
onConfigureModels = () => {},
}: ChatInputProps) {
const dict = useDictionary()
const {
diagramHistory,
saveDiagramToFile,
showSaveDialog,
setShowSaveDialog,
} = useDiagram()
const textareaRef = useRef<HTMLTextAreaElement>(null)
const fileInputRef = useRef<HTMLInputElement>(null)
const [isDragging, setIsDragging] = useState(false)
const [showClearDialog, setShowClearDialog] = useState(false)
// Allow retry when there's an error (even if status is still "streaming" or "submitted")
const isDisabled =
(status === "streaming" || status === "submitted") && !error
const { diagramHistory } = useDiagram();
const textareaRef = useRef<HTMLTextAreaElement>(null);
const fileInputRef = useRef<HTMLInputElement>(null);
const [isDragging, setIsDragging] = useState(false);
const [showClearDialog, setShowClearDialog] = useState(false);
const adjustTextareaHeight = useCallback(() => {
const textarea = textareaRef.current
if (textarea) {
textarea.style.height = "auto"
textarea.style.height = `${Math.min(textarea.scrollHeight, 200)}px`
}
}, [])
// Handle programmatic input changes (e.g., setInput("") after form submission)
// Debug: Log status changes
const isDisabled = status === "streaming" || status === "submitted";
useEffect(() => {
adjustTextareaHeight()
}, [input, adjustTextareaHeight])
console.log('[ChatInput] Status changed to:', status, '| Input disabled:', isDisabled);
}, [status, isDisabled]);
const handleChange = (e: React.ChangeEvent<HTMLTextAreaElement>) => {
onChange(e)
adjustTextareaHeight()
}
// Auto-resize textarea based on content
const adjustTextareaHeight = useCallback(() => {
const textarea = textareaRef.current;
if (textarea) {
textarea.style.height = "auto";
textarea.style.height = `${Math.min(textarea.scrollHeight, 200)}px`;
}
}, []);
useEffect(() => {
adjustTextareaHeight();
}, [input, adjustTextareaHeight]);
// Handle keyboard shortcuts and paste events
const handleKeyDown = (e: React.KeyboardEvent) => {
if ((e.metaKey || e.ctrlKey) && e.key === "Enter") {
e.preventDefault()
const form = e.currentTarget.closest("form")
e.preventDefault();
const form = e.currentTarget.closest("form");
if (form && input.trim() && !isDisabled) {
form.requestSubmit()
form.requestSubmit();
}
}
}
};
// Handle clipboard paste
const handlePaste = async (e: React.ClipboardEvent) => {
if (isDisabled) return
if (isDisabled) return;
const items = e.clipboardData.items
const items = e.clipboardData.items;
const imageItems = Array.from(items).filter((item) =>
item.type.startsWith("image/"),
)
item.type.startsWith("image/")
);
if (imageItems.length > 0) {
const imageFiles = (
await Promise.all(
imageItems.map(async (item, index) => {
const file = item.getAsFile()
if (!file) return null
return new File(
[file],
`pasted-image-${Date.now()}-${index}.${file.type.split("/")[1]}`,
{ type: file.type },
)
}),
)
).filter((f): f is File => f !== null)
const imageFiles = await Promise.all(
imageItems.map(async (item) => {
const file = item.getAsFile();
if (!file) return null;
// Create a new file with a unique name
return new File(
[file],
`pasted-image-${Date.now()}.${file.type.split("/")[1]}`,
{
type: file.type,
}
);
})
);
const { validFiles, errors } = validateFiles(
imageFiles,
files.length,
dict,
)
showValidationErrors(errors, dict)
const validFiles = imageFiles.filter(
(file): file is File => file !== null
);
if (validFiles.length > 0) {
onFileChange([...files, ...validFiles])
onFileChange([...files, ...validFiles]);
}
}
}
};
// Handle file changes
const handleFileChange = (e: React.ChangeEvent<HTMLInputElement>) => {
const newFiles = Array.from(e.target.files || [])
const { validFiles, errors } = validateFiles(
newFiles,
files.length,
dict,
)
showValidationErrors(errors, dict)
if (validFiles.length > 0) {
onFileChange([...files, ...validFiles])
}
if (fileInputRef.current) {
fileInputRef.current.value = ""
}
}
const newFiles = Array.from(e.target.files || []);
onFileChange([...files, ...newFiles]);
};
// Remove individual file
const handleRemoveFile = (fileToRemove: File) => {
onFileChange(files.filter((file) => file !== fileToRemove))
onFileChange(files.filter((file) => file !== fileToRemove));
if (fileInputRef.current) {
fileInputRef.current.value = ""
fileInputRef.current.value = "";
}
}
};
// Trigger file input click
const triggerFileInput = () => {
fileInputRef.current?.click()
}
fileInputRef.current?.click();
};
// Handle drag events
const handleDragOver = (e: React.DragEvent<HTMLFormElement>) => {
e.preventDefault()
e.stopPropagation()
setIsDragging(true)
}
e.preventDefault();
e.stopPropagation();
setIsDragging(true);
};
const handleDragLeave = (e: React.DragEvent<HTMLFormElement>) => {
e.preventDefault()
e.stopPropagation()
setIsDragging(false)
}
e.preventDefault();
e.stopPropagation();
setIsDragging(false);
};
const handleDrop = (e: React.DragEvent<HTMLFormElement>) => {
e.preventDefault()
e.stopPropagation()
setIsDragging(false)
e.preventDefault();
e.stopPropagation();
setIsDragging(false);
if (isDisabled) return
if (isDisabled) return;
const droppedFiles = e.dataTransfer.files
const supportedFiles = Array.from(droppedFiles).filter((file) =>
isValidFileType(file),
)
const droppedFiles = e.dataTransfer.files;
const { validFiles, errors } = validateFiles(
supportedFiles,
files.length,
dict,
)
showValidationErrors(errors, dict)
if (validFiles.length > 0) {
onFileChange([...files, ...validFiles])
// Only process image files
const imageFiles = Array.from(droppedFiles).filter((file) =>
file.type.startsWith("image/")
);
if (imageFiles.length > 0) {
onFileChange([...files, ...imageFiles]);
}
}
};
// Handle clearing conversation and diagram
const handleClear = () => {
onClearChat()
setShowClearDialog(false)
}
onClearChat();
setShowClearDialog(false);
};
return (
<form
onSubmit={onSubmit}
className={`w-full transition-all duration-200 ${
className={`w-full space-y-2 ${
isDragging
? "ring-2 ring-primary ring-offset-2 rounded-2xl"
? "border-2 border-dashed border-primary p-4 rounded-lg bg-muted/20"
: ""
}`}
onDragOver={handleDragOver}
onDragLeave={handleDragLeave}
onDrop={handleDrop}
>
{/* File previews */}
{files.length > 0 && (
<div className="mb-3">
<FilePreviewList
files={files}
onRemoveFile={handleRemoveFile}
pdfData={pdfData}
<FilePreviewList files={files} onRemoveFile={handleRemoveFile} />
<Textarea
ref={textareaRef}
value={input}
onChange={onChange}
onKeyDown={handleKeyDown}
onPaste={handlePaste}
placeholder="Describe what changes you want to make to the diagram
or upload(paste) an image to replicate a diagram.
(Press Cmd/Ctrl + Enter to send)"
disabled={isDisabled}
aria-label="Chat input"
className="min-h-[80px] resize-none transition-all duration-200 px-1 py-0"
/>
<div className="flex items-center gap-2">
<div className="mr-auto">
<ButtonWithTooltip
type="button"
variant="ghost"
size="icon"
onClick={() => setShowClearDialog(true)}
tooltipContent="Clear current conversation and diagram"
>
<RotateCcw className="mr-2 h-4 w-4" />
</ButtonWithTooltip>
{/* Warning Modal */}
<ResetWarningModal
open={showClearDialog}
onOpenChange={setShowClearDialog}
onClear={handleClear}
/>
<HistoryDialog
showHistory={showHistory}
onToggleHistory={onToggleHistory}
/>
</div>
)}
<div className="relative rounded-2xl border border-border bg-background shadow-sm focus-within:ring-2 focus-within:ring-primary/20 focus-within:border-primary/50 transition-all duration-200">
<Textarea
ref={textareaRef}
value={input}
onChange={handleChange}
onKeyDown={handleKeyDown}
onPaste={handlePaste}
placeholder={dict.chat.placeholder}
disabled={isDisabled}
aria-label="Chat input"
className="min-h-[60px] max-h-[200px] resize-none border-0 bg-transparent px-4 py-3 text-sm focus-visible:ring-0 focus-visible:ring-offset-0 placeholder:text-muted-foreground/60"
/>
<div className="flex gap-2">
{/* History Button */}
<ButtonWithTooltip
type="button"
variant="outline"
size="icon"
onClick={() => onToggleHistory(true)}
disabled={
isDisabled ||
diagramHistory.length === 0
}
title="Diagram History"
tooltipContent="View diagram history"
>
<History className="h-4 w-4" />
</ButtonWithTooltip>
<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">
<ButtonWithTooltip
type="button"
variant="ghost"
size="sm"
onClick={() => setShowClearDialog(true)}
tooltipContent={dict.chat.clearConversation}
className="h-8 w-8 p-0 text-muted-foreground hover:text-destructive hover:bg-destructive/10"
>
<Trash2 className="h-4 w-4" />
</ButtonWithTooltip>
<Button
type="button"
variant="outline"
size="icon"
onClick={triggerFileInput}
disabled={isDisabled}
title="Upload image"
>
<ImageIcon className="h-4 w-4" />
</Button>
<ResetWarningModal
open={showClearDialog}
onOpenChange={setShowClearDialog}
onClear={handleClear}
/>
<HistoryDialog
showHistory={showHistory}
onToggleHistory={onToggleHistory}
/>
<Tooltip>
<TooltipTrigger asChild>
<div className="flex items-center gap-1.5">
<Switch
id="minimal-style"
checked={minimalStyle}
onCheckedChange={onMinimalStyleChange}
className="scale-75"
/>
<label
htmlFor="minimal-style"
className={`text-xs cursor-pointer select-none ${
minimalStyle
? "text-primary font-medium"
: "text-muted-foreground"
}`}
>
{minimalStyle
? dict.chat.minimalStyle
: dict.chat.styledMode}
</label>
</div>
</TooltipTrigger>
<TooltipContent side="top">
{dict.chat.minimalTooltip}
</TooltipContent>
</Tooltip>
</div>
<div className="flex items-center gap-1 overflow-hidden justify-end">
<ButtonWithTooltip
type="button"
variant="ghost"
size="sm"
onClick={() => onToggleHistory(true)}
disabled={isDisabled || diagramHistory.length === 0}
tooltipContent={dict.chat.diagramHistory}
className="h-8 w-8 p-0 text-muted-foreground hover:text-foreground"
>
<History className="h-4 w-4" />
</ButtonWithTooltip>
<ButtonWithTooltip
type="button"
variant="ghost"
size="sm"
onClick={() => setShowSaveDialog(true)}
disabled={isDisabled}
tooltipContent={dict.chat.saveDiagram}
className="h-8 w-8 p-0 text-muted-foreground hover:text-foreground"
>
<Download className="h-4 w-4" />
</ButtonWithTooltip>
<SaveDialog
open={showSaveDialog}
onOpenChange={setShowSaveDialog}
onSave={(filename, format) =>
saveDiagramToFile(filename, format, sessionId)
}
defaultFilename={`diagram-${new Date()
.toISOString()
.slice(0, 10)}`}
/>
<ButtonWithTooltip
type="button"
variant="ghost"
size="sm"
onClick={triggerFileInput}
disabled={isDisabled}
tooltipContent={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}
/>
<ModelSelector
models={models}
selectedModelId={selectedModelId}
onSelect={onModelSelect}
onConfigure={onConfigureModels}
disabled={isDisabled}
/>
<div className="w-px h-5 bg-border mx-1" />
<Button
type="submit"
disabled={isDisabled || !input.trim()}
size="sm"
className="h-8 px-4 rounded-xl font-medium shadow-sm"
aria-label={
isDisabled ? dict.chat.sending : dict.chat.send
}
>
{isDisabled ? (
<Loader2 className="h-4 w-4 animate-spin" />
) : (
<>
<Send className="h-4 w-4 mr-1.5" />
{dict.chat.send}
</>
)}
</Button>
</div>
<input
type="file"
ref={fileInputRef}
className="hidden"
onChange={handleFileChange}
accept="image/*"
multiple
disabled={isDisabled}
/>
</div>
<Button
type="submit"
disabled={isDisabled || !input.trim()}
className="transition-opacity"
aria-label={
isDisabled
? "Sending message..."
: "Send message"
}
>
{isDisabled ? (
<Loader2 className="mr-2 h-4 w-4 animate-spin" />
) : (
<Send className="mr-2 h-4 w-4" />
)}
Send
</Button>
</div>
</form>
)
);
}

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File diff suppressed because it is too large Load Diff

View File

@@ -1,53 +0,0 @@
"use client"
import { Highlight, themes } from "prism-react-renderer"
interface CodeBlockProps {
code: string
language?: "xml" | "json"
}
export function CodeBlock({ code, language = "xml" }: CodeBlockProps) {
return (
<div className="overflow-hidden w-full">
<Highlight theme={themes.github} code={code} language={language}>
{({
className: _className,
style,
tokens,
getLineProps,
getTokenProps,
}) => (
<pre
className="text-[11px] leading-relaxed overflow-x-auto overflow-y-auto max-h-48 scrollbar-thin break-all"
style={{
...style,
fontFamily:
"var(--font-mono), ui-monospace, monospace",
backgroundColor: "transparent",
margin: 0,
padding: 0,
wordBreak: "break-all",
whiteSpace: "pre-wrap",
}}
>
{tokens.map((line, i) => (
<div
key={i}
{...getLineProps({ line })}
style={{ wordBreak: "break-all" }}
>
{line.map((token, key) => (
<span
key={key}
{...getTokenProps({ token })}
/>
))}
</div>
))}
</pre>
)}
</Highlight>
</div>
)
}

View File

@@ -1,44 +0,0 @@
"use client"
import type React from "react"
interface ErrorToastProps {
message: React.ReactNode
onDismiss: () => void
}
export function ErrorToast({ message, onDismiss }: ErrorToastProps) {
const handleKeyDown = (e: React.KeyboardEvent) => {
if (e.key === "Enter" || e.key === " " || e.key === "Escape") {
e.preventDefault()
onDismiss()
}
}
return (
<div
role="alert"
aria-live="polite"
tabIndex={0}
onClick={onDismiss}
onKeyDown={handleKeyDown}
className="flex items-center gap-3 bg-card border border-border/50 px-4 py-3 rounded-xl shadow-sm cursor-pointer hover:bg-muted/50 focus:outline-none focus:ring-2 focus:ring-primary/50 transition-colors"
>
<div className="flex items-center justify-center w-8 h-8 rounded-full bg-destructive/10 flex-shrink-0">
<svg
className="w-4 h-4 text-destructive"
viewBox="0 0 20 20"
fill="currentColor"
aria-hidden="true"
>
<path
fillRule="evenodd"
d="M4.293 4.293a1 1 0 011.414 0L10 8.586l4.293-4.293a1 1 0 111.414 1.414L11.414 10l4.293 4.293a1 1 0 01-1.414 1.414L10 11.414l-4.293 4.293a1 1 0 01-1.414-1.414L8.586 10 4.293 5.707a1 1 0 010-1.414z"
clipRule="evenodd"
/>
</svg>
</div>
<span className="text-sm text-foreground">{message}</span>
</div>
)
}

View File

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

View File

@@ -1,8 +1,5 @@
"use client"
"use client";
import Image from "next/image"
import { useState } from "react"
import { Button } from "@/components/ui/button"
import {
Dialog,
DialogContent,
@@ -10,74 +7,61 @@ import {
DialogFooter,
DialogHeader,
DialogTitle,
} from "@/components/ui/dialog"
import { useDiagram } from "@/contexts/diagram-context"
import { useDictionary } from "@/hooks/use-dictionary"
import { formatMessage } from "@/lib/i18n/utils"
} from "@/components/ui/dialog";
import { Button } from "@/components/ui/button";
import Image from "next/image";
import { useDiagram } from "@/contexts/diagram-context";
interface HistoryDialogProps {
showHistory: boolean
onToggleHistory: (show: boolean) => void
showHistory: boolean;
onToggleHistory: (show: boolean) => void;
}
export function HistoryDialog({
showHistory,
onToggleHistory,
}: HistoryDialogProps) {
const dict = useDictionary()
const { loadDiagram: onDisplayChart, diagramHistory } = useDiagram()
const [selectedIndex, setSelectedIndex] = useState<number | null>(null)
const handleClose = () => {
setSelectedIndex(null)
onToggleHistory(false)
}
const handleConfirmRestore = () => {
if (selectedIndex !== null) {
// Skip validation for trusted history snapshots
onDisplayChart(diagramHistory[selectedIndex].xml, true)
handleClose()
}
}
const { loadDiagram: onDisplayChart, diagramHistory } = useDiagram();
return (
<Dialog open={showHistory} onOpenChange={onToggleHistory}>
<DialogContent className="max-w-3xl max-h-[80vh] overflow-y-auto">
<DialogHeader>
<DialogTitle>{dict.history.title}</DialogTitle>
<DialogTitle>Diagram History</DialogTitle>
<DialogDescription>
{dict.history.description}
Here saved each diagram before AI modification.
<br />
Click on a diagram to restore it
</DialogDescription>
</DialogHeader>
{diagramHistory.length === 0 ? (
<div className="text-center p-4 text-gray-500">
{dict.history.noHistory}
No history available yet. Send messages to create
diagram history.
</div>
) : (
<div className="grid grid-cols-2 md:grid-cols-3 gap-4 py-4">
{diagramHistory.map((item, index) => (
<div
key={index}
className={`border rounded-md p-2 cursor-pointer hover:border-primary transition-colors ${
selectedIndex === index
? "border-primary ring-2 ring-primary"
: ""
}`}
onClick={() => setSelectedIndex(index)}
className="border rounded-md p-2 cursor-pointer hover:border-primary transition-colors"
onClick={() => {
onDisplayChart(item.xml);
onToggleHistory(false);
}}
>
<div className="aspect-video bg-white rounded overflow-hidden flex items-center justify-center">
<Image
src={item.svg}
alt={`${dict.history.version} ${index + 1}`}
alt={`Diagram version ${index + 1}`}
width={200}
height={100}
className="object-contain w-full h-full p-1"
/>
</div>
<div className="text-xs text-center mt-1 text-gray-500">
{dict.history.version} {index + 1}
Version {index + 1}
</div>
</div>
))}
@@ -85,30 +69,14 @@ export function HistoryDialog({
)}
<DialogFooter>
{selectedIndex !== null ? (
<>
<div className="flex-1 text-sm text-muted-foreground">
{formatMessage(dict.history.restoreTo, {
version: selectedIndex + 1,
})}
</div>
<Button
variant="outline"
onClick={() => setSelectedIndex(null)}
>
{dict.common.cancel}
</Button>
<Button onClick={handleConfirmRestore}>
{dict.common.confirm}
</Button>
</>
) : (
<Button variant="outline" onClick={handleClose}>
{dict.common.close}
</Button>
)}
<Button
variant="outline"
onClick={() => onToggleHistory(false)}
>
Close
</Button>
</DialogFooter>
</DialogContent>
</Dialog>
)
);
}

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

View File

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

View File

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

View File

@@ -1,146 +0,0 @@
"use client"
import { useEffect, useState } from "react"
import { Button } from "@/components/ui/button"
import {
Dialog,
DialogContent,
DialogDescription,
DialogFooter,
DialogHeader,
DialogTitle,
} from "@/components/ui/dialog"
import { Input } from "@/components/ui/input"
import {
Select,
SelectContent,
SelectItem,
SelectTrigger,
SelectValue,
} from "@/components/ui/select"
import { useDictionary } from "@/hooks/use-dictionary"
export type ExportFormat = "drawio" | "png" | "svg"
interface SaveDialogProps {
open: boolean
onOpenChange: (open: boolean) => void
onSave: (filename: string, format: ExportFormat) => void
defaultFilename: string
}
export function SaveDialog({
open,
onOpenChange,
onSave,
defaultFilename,
}: SaveDialogProps) {
const dict = useDictionary()
const [filename, setFilename] = useState(defaultFilename)
const [format, setFormat] = useState<ExportFormat>("drawio")
useEffect(() => {
if (open) {
setFilename(defaultFilename)
}
}, [open, defaultFilename])
const handleSave = () => {
const finalFilename = filename.trim() || defaultFilename
onSave(finalFilename, format)
onOpenChange(false)
}
const handleKeyDown = (e: React.KeyboardEvent) => {
if (e.key === "Enter") {
e.preventDefault()
handleSave()
}
}
const FORMAT_OPTIONS = [
{
value: "drawio" as const,
label: dict.save.formats.drawio,
extension: ".drawio",
},
{
value: "png" as const,
label: dict.save.formats.png,
extension: ".png",
},
{
value: "svg" as const,
label: dict.save.formats.svg,
extension: ".svg",
},
]
const currentFormat = FORMAT_OPTIONS.find((f) => f.value === format)
return (
<Dialog open={open} onOpenChange={onOpenChange}>
<DialogContent className="sm:max-w-md">
<DialogHeader>
<DialogTitle>{dict.save.title}</DialogTitle>
<DialogDescription>
{dict.save.description}
</DialogDescription>
</DialogHeader>
<div className="space-y-4">
<div className="space-y-2">
<label className="text-sm font-medium">
{dict.save.format}
</label>
<Select
value={format}
onValueChange={(v) => setFormat(v as ExportFormat)}
>
<SelectTrigger>
<SelectValue />
</SelectTrigger>
<SelectContent>
{FORMAT_OPTIONS.map((opt) => (
<SelectItem
key={opt.value}
value={opt.value}
>
{opt.label}
</SelectItem>
))}
</SelectContent>
</Select>
</div>
<div className="space-y-2">
<label className="text-sm font-medium">
{dict.save.filename}
</label>
<div className="flex items-stretch">
<Input
value={filename}
onChange={(e) => setFilename(e.target.value)}
onKeyDown={handleKeyDown}
placeholder={dict.save.filenamePlaceholder}
autoFocus
onFocus={(e) => e.target.select()}
className="rounded-r-none border-r-0 focus-visible:z-10"
/>
<span className="inline-flex items-center px-3 rounded-r-md border border-l-0 border-input bg-muted text-sm text-muted-foreground font-mono">
{currentFormat?.extension || ".drawio"}
</span>
</div>
</div>
</div>
<DialogFooter>
<Button
variant="outline"
onClick={() => onOpenChange(false)}
>
{dict.common.cancel}
</Button>
<Button onClick={handleSave}>{dict.common.save}</Button>
</DialogFooter>
</DialogContent>
</Dialog>
)
}

View File

@@ -1,342 +0,0 @@
"use client"
import { Moon, Sun } from "lucide-react"
import { usePathname, useRouter, useSearchParams } from "next/navigation"
import { Suspense, useEffect, useState } from "react"
import { Button } from "@/components/ui/button"
import {
Dialog,
DialogContent,
DialogDescription,
DialogHeader,
DialogTitle,
} from "@/components/ui/dialog"
import { Input } from "@/components/ui/input"
import { Label } from "@/components/ui/label"
import {
Select,
SelectContent,
SelectItem,
SelectTrigger,
SelectValue,
} from "@/components/ui/select"
import { Switch } from "@/components/ui/switch"
import { useDictionary } from "@/hooks/use-dictionary"
import { getApiEndpoint } from "@/lib/base-path"
import { i18n, type Locale } from "@/lib/i18n/config"
const LANGUAGE_LABELS: Record<Locale, string> = {
en: "English",
zh: "中文",
ja: "日本語",
}
interface SettingsDialogProps {
open: boolean
onOpenChange: (open: boolean) => void
onCloseProtectionChange?: (enabled: boolean) => void
drawioUi: "min" | "sketch"
onToggleDrawioUi: () => void
darkMode: boolean
onToggleDarkMode: () => void
}
export const STORAGE_ACCESS_CODE_KEY = "next-ai-draw-io-access-code"
export const STORAGE_CLOSE_PROTECTION_KEY = "next-ai-draw-io-close-protection"
const STORAGE_ACCESS_CODE_REQUIRED_KEY = "next-ai-draw-io-access-code-required"
function getStoredAccessCodeRequired(): boolean | null {
if (typeof window === "undefined") return null
const stored = localStorage.getItem(STORAGE_ACCESS_CODE_REQUIRED_KEY)
if (stored === null) return null
return stored === "true"
}
function SettingsContent({
open,
onOpenChange,
onCloseProtectionChange,
drawioUi,
onToggleDrawioUi,
darkMode,
onToggleDarkMode,
}: SettingsDialogProps) {
const dict = useDictionary()
const router = useRouter()
const pathname = usePathname() || "/"
const search = useSearchParams()
const [accessCode, setAccessCode] = useState("")
const [closeProtection, setCloseProtection] = useState(true)
const [isVerifying, setIsVerifying] = useState(false)
const [error, setError] = useState("")
const [accessCodeRequired, setAccessCodeRequired] = useState(
() => getStoredAccessCodeRequired() ?? false,
)
const [currentLang, setCurrentLang] = useState("en")
useEffect(() => {
// Only fetch if not cached in localStorage
if (getStoredAccessCodeRequired() !== null) return
fetch(getApiEndpoint("/api/config"))
.then((res) => {
if (!res.ok) throw new Error(`HTTP ${res.status}`)
return res.json()
})
.then((data) => {
const required = data?.accessCodeRequired === true
localStorage.setItem(
STORAGE_ACCESS_CODE_REQUIRED_KEY,
String(required),
)
setAccessCodeRequired(required)
})
.catch(() => {
// Don't cache on error - allow retry on next mount
setAccessCodeRequired(false)
})
}, [])
// Detect current language from pathname
useEffect(() => {
const seg = pathname.split("/").filter(Boolean)
const first = seg[0]
if (first && i18n.locales.includes(first as Locale)) {
setCurrentLang(first)
} else {
setCurrentLang(i18n.defaultLocale)
}
}, [pathname])
useEffect(() => {
if (open) {
const storedCode =
localStorage.getItem(STORAGE_ACCESS_CODE_KEY) || ""
setAccessCode(storedCode)
const storedCloseProtection = localStorage.getItem(
STORAGE_CLOSE_PROTECTION_KEY,
)
// Default to true if not set
setCloseProtection(storedCloseProtection !== "false")
setError("")
}
}, [open])
const changeLanguage = (lang: string) => {
const parts = pathname.split("/")
if (parts.length > 1 && i18n.locales.includes(parts[1] as Locale)) {
parts[1] = lang
} else {
parts.splice(1, 0, lang)
}
const newPath = parts.join("/") || "/"
const searchStr = search?.toString() ? `?${search.toString()}` : ""
router.push(newPath + searchStr)
}
const handleSave = async () => {
if (!accessCodeRequired) return
setError("")
setIsVerifying(true)
try {
const response = await fetch(
getApiEndpoint("/api/verify-access-code"),
{
method: "POST",
headers: {
"x-access-code": accessCode.trim(),
},
},
)
const data = await response.json()
if (!data.valid) {
setError(data.message || dict.errors.invalidAccessCode)
return
}
localStorage.setItem(STORAGE_ACCESS_CODE_KEY, accessCode.trim())
onOpenChange(false)
} catch {
setError(dict.errors.networkError)
} finally {
setIsVerifying(false)
}
}
const handleKeyDown = (e: React.KeyboardEvent) => {
if (e.key === "Enter") {
e.preventDefault()
handleSave()
}
}
return (
<DialogContent className="sm:max-w-md">
<DialogHeader>
<DialogTitle>{dict.settings.title}</DialogTitle>
<DialogDescription>
{dict.settings.description}
</DialogDescription>
</DialogHeader>
<div className="space-y-4 py-2">
{accessCodeRequired && (
<div className="space-y-2">
<Label htmlFor="access-code">
{dict.settings.accessCode}
</Label>
<div className="flex gap-2">
<Input
id="access-code"
type="password"
value={accessCode}
onChange={(e) => setAccessCode(e.target.value)}
onKeyDown={handleKeyDown}
placeholder={
dict.settings.accessCodePlaceholder
}
autoComplete="off"
/>
<Button
onClick={handleSave}
disabled={isVerifying || !accessCode.trim()}
>
{isVerifying ? "..." : dict.common.save}
</Button>
</div>
<p className="text-[0.8rem] text-muted-foreground">
{dict.settings.accessCodeDescription}
</p>
{error && (
<p className="text-[0.8rem] text-destructive">
{error}
</p>
)}
</div>
)}
<div className="flex items-center justify-between">
<div className="space-y-0.5">
<Label htmlFor="language-select">
{dict.settings.language}
</Label>
<p className="text-[0.8rem] text-muted-foreground">
{dict.settings.languageDescription}
</p>
</div>
<Select value={currentLang} onValueChange={changeLanguage}>
<SelectTrigger id="language-select" className="w-32">
<SelectValue />
</SelectTrigger>
<SelectContent>
{i18n.locales.map((locale) => (
<SelectItem key={locale} value={locale}>
{LANGUAGE_LABELS[locale]}
</SelectItem>
))}
</SelectContent>
</Select>
</div>
<div className="flex items-center justify-between">
<div className="space-y-0.5">
<Label htmlFor="theme-toggle">
{dict.settings.theme}
</Label>
<p className="text-[0.8rem] text-muted-foreground">
{dict.settings.themeDescription}
</p>
</div>
<Button
id="theme-toggle"
variant="outline"
size="icon"
onClick={onToggleDarkMode}
>
{darkMode ? (
<Sun className="h-4 w-4" />
) : (
<Moon className="h-4 w-4" />
)}
</Button>
</div>
<div className="flex items-center justify-between">
<div className="space-y-0.5">
<Label htmlFor="drawio-ui">
{dict.settings.drawioStyle}
</Label>
<p className="text-[0.8rem] text-muted-foreground">
{dict.settings.drawioStyleDescription}{" "}
{drawioUi === "min"
? dict.settings.minimal
: dict.settings.sketch}
</p>
</div>
<Button
id="drawio-ui"
variant="outline"
size="sm"
onClick={onToggleDrawioUi}
>
{dict.settings.switchTo}{" "}
{drawioUi === "min"
? dict.settings.sketch
: dict.settings.minimal}
</Button>
</div>
<div className="flex items-center justify-between">
<div className="space-y-0.5">
<Label htmlFor="close-protection">
{dict.settings.closeProtection}
</Label>
<p className="text-[0.8rem] text-muted-foreground">
{dict.settings.closeProtectionDescription}
</p>
</div>
<Switch
id="close-protection"
checked={closeProtection}
onCheckedChange={(checked) => {
setCloseProtection(checked)
localStorage.setItem(
STORAGE_CLOSE_PROTECTION_KEY,
checked.toString(),
)
onCloseProtectionChange?.(checked)
}}
/>
</div>
</div>
<div className="pt-4 border-t border-border/50">
<p className="text-[0.75rem] text-muted-foreground text-center">
Version {process.env.APP_VERSION}
</p>
</div>
</DialogContent>
)
}
export function SettingsDialog(props: SettingsDialogProps) {
return (
<Dialog open={props.open} onOpenChange={props.onOpenChange}>
<Suspense
fallback={
<DialogContent className="sm:max-w-md">
<div className="h-64 flex items-center justify-center">
<div className="animate-spin h-8 w-8 border-4 border-primary border-t-transparent rounded-full" />
</div>
</DialogContent>
}
>
<SettingsContent {...props} />
</Suspense>
</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

@@ -10,7 +10,7 @@ const buttonVariants = cva(
variants: {
variant: {
default:
"bg-primary text-primary-foreground shadow-xs hover:brightness-75",
"bg-primary text-primary-foreground shadow-xs hover:bg-primary/90",
destructive:
"bg-destructive text-white shadow-xs hover:bg-destructive/90 focus-visible:ring-destructive/20 dark:focus-visible:ring-destructive/40 dark:bg-destructive/60",
outline:

View File

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

View File

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

View File

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

View File

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

View File

@@ -1,56 +0,0 @@
"use client"
import * as React from "react"
import { GripVerticalIcon } from "lucide-react"
import * as ResizablePrimitive from "react-resizable-panels"
import { cn } from "@/lib/utils"
function ResizablePanelGroup({
className,
...props
}: React.ComponentProps<typeof ResizablePrimitive.PanelGroup>) {
return (
<ResizablePrimitive.PanelGroup
data-slot="resizable-panel-group"
className={cn(
"flex h-full w-full data-[panel-group-direction=vertical]:flex-col",
className
)}
{...props}
/>
)
}
function ResizablePanel({
...props
}: React.ComponentProps<typeof ResizablePrimitive.Panel>) {
return <ResizablePrimitive.Panel data-slot="resizable-panel" {...props} />
}
function ResizableHandle({
withHandle,
className,
...props
}: React.ComponentProps<typeof ResizablePrimitive.PanelResizeHandle> & {
withHandle?: boolean
}) {
return (
<ResizablePrimitive.PanelResizeHandle
data-slot="resizable-handle"
className={cn(
"bg-border focus-visible:ring-ring relative flex w-px items-center justify-center after:absolute after:inset-y-0 after:left-1/2 after:w-1 after:-translate-x-1/2 focus-visible:ring-1 focus-visible:ring-offset-1 focus-visible:outline-hidden data-[panel-group-direction=vertical]:h-px data-[panel-group-direction=vertical]:w-full data-[panel-group-direction=vertical]:after:left-0 data-[panel-group-direction=vertical]:after:h-1 data-[panel-group-direction=vertical]:after:w-full data-[panel-group-direction=vertical]:after:translate-x-0 data-[panel-group-direction=vertical]:after:-translate-y-1/2 [&[data-panel-group-direction=vertical]>div]:rotate-90",
className
)}
{...props}
>
{withHandle && (
<div className="bg-border z-10 flex h-4 w-3 items-center justify-center rounded-xs border">
<GripVerticalIcon className="size-2.5" />
</div>
)}
</ResizablePrimitive.PanelResizeHandle>
)
}
export { ResizablePanelGroup, ResizablePanel, ResizableHandle }

View File

@@ -18,7 +18,7 @@ function ScrollArea({
>
<ScrollAreaPrimitive.Viewport
data-slot="scroll-area-viewport"
className="ring-ring/10 dark:ring-ring/20 dark:outline-ring/40 outline-ring/50 size-full rounded-[inherit] transition-[color,box-shadow] focus-visible:ring-4 focus-visible:outline-1 !overflow-x-hidden"
className="ring-ring/10 dark:ring-ring/20 dark:outline-ring/40 outline-ring/50 size-full rounded-[inherit] transition-[color,box-shadow] focus-visible:ring-4 focus-visible:outline-1"
>
{children}
</ScrollAreaPrimitive.Viewport>

View File

@@ -1,187 +0,0 @@
"use client"
import * as React from "react"
import * as SelectPrimitive from "@radix-ui/react-select"
import { CheckIcon, ChevronDownIcon, ChevronUpIcon } from "lucide-react"
import { cn } from "@/lib/utils"
function Select({
...props
}: React.ComponentProps<typeof SelectPrimitive.Root>) {
return <SelectPrimitive.Root data-slot="select" {...props} />
}
function SelectGroup({
...props
}: React.ComponentProps<typeof SelectPrimitive.Group>) {
return <SelectPrimitive.Group data-slot="select-group" {...props} />
}
function SelectValue({
...props
}: React.ComponentProps<typeof SelectPrimitive.Value>) {
return <SelectPrimitive.Value data-slot="select-value" {...props} />
}
function SelectTrigger({
className,
size = "default",
children,
...props
}: React.ComponentProps<typeof SelectPrimitive.Trigger> & {
size?: "sm" | "default"
}) {
return (
<SelectPrimitive.Trigger
data-slot="select-trigger"
data-size={size}
className={cn(
"border-input data-[placeholder]:text-muted-foreground [&_svg:not([class*='text-'])]:text-muted-foreground focus-visible:border-ring focus-visible:ring-ring/50 aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40 aria-invalid:border-destructive dark:bg-input/30 dark:hover:bg-input/50 flex w-fit items-center justify-between gap-2 rounded-md border bg-transparent px-3 py-2 text-sm whitespace-nowrap shadow-xs transition-[color,box-shadow] outline-none focus-visible:ring-[3px] disabled:cursor-not-allowed disabled:opacity-50 data-[size=default]:h-9 data-[size=sm]:h-8 *:data-[slot=select-value]:line-clamp-1 *:data-[slot=select-value]:flex *:data-[slot=select-value]:items-center *:data-[slot=select-value]:gap-2 [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4",
className
)}
{...props}
>
{children}
<SelectPrimitive.Icon asChild>
<ChevronDownIcon className="size-4 opacity-50" />
</SelectPrimitive.Icon>
</SelectPrimitive.Trigger>
)
}
function SelectContent({
className,
children,
position = "popper",
align = "center",
...props
}: React.ComponentProps<typeof SelectPrimitive.Content>) {
return (
<SelectPrimitive.Portal>
<SelectPrimitive.Content
data-slot="select-content"
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 relative z-50 max-h-(--radix-select-content-available-height) min-w-[8rem] origin-(--radix-select-content-transform-origin) overflow-x-hidden overflow-y-auto rounded-md border shadow-md",
position === "popper" &&
"data-[side=bottom]:translate-y-1 data-[side=left]:-translate-x-1 data-[side=right]:translate-x-1 data-[side=top]:-translate-y-1",
className
)}
position={position}
align={align}
{...props}
>
<SelectScrollUpButton />
<SelectPrimitive.Viewport
className={cn(
"p-1",
position === "popper" &&
"h-[var(--radix-select-trigger-height)] w-full min-w-[var(--radix-select-trigger-width)] scroll-my-1"
)}
>
{children}
</SelectPrimitive.Viewport>
<SelectScrollDownButton />
</SelectPrimitive.Content>
</SelectPrimitive.Portal>
)
}
function SelectLabel({
className,
...props
}: React.ComponentProps<typeof SelectPrimitive.Label>) {
return (
<SelectPrimitive.Label
data-slot="select-label"
className={cn("text-muted-foreground px-2 py-1.5 text-xs", className)}
{...props}
/>
)
}
function SelectItem({
className,
children,
...props
}: React.ComponentProps<typeof SelectPrimitive.Item>) {
return (
<SelectPrimitive.Item
data-slot="select-item"
className={cn(
"focus:bg-accent focus:text-accent-foreground [&_svg:not([class*='text-'])]:text-muted-foreground relative flex w-full cursor-default items-center gap-2 rounded-sm py-1.5 pr-8 pl-2 text-sm outline-hidden select-none data-[disabled]:pointer-events-none data-[disabled]:opacity-50 [&_svg]:pointer-events-none [&_svg]:shrink-0 [&_svg:not([class*='size-'])]:size-4 *:[span]:last:flex *:[span]:last:items-center *:[span]:last:gap-2",
className
)}
{...props}
>
<span className="absolute right-2 flex size-3.5 items-center justify-center">
<SelectPrimitive.ItemIndicator>
<CheckIcon className="size-4" />
</SelectPrimitive.ItemIndicator>
</span>
<SelectPrimitive.ItemText>{children}</SelectPrimitive.ItemText>
</SelectPrimitive.Item>
)
}
function SelectSeparator({
className,
...props
}: React.ComponentProps<typeof SelectPrimitive.Separator>) {
return (
<SelectPrimitive.Separator
data-slot="select-separator"
className={cn("bg-border pointer-events-none -mx-1 my-1 h-px", className)}
{...props}
/>
)
}
function SelectScrollUpButton({
className,
...props
}: React.ComponentProps<typeof SelectPrimitive.ScrollUpButton>) {
return (
<SelectPrimitive.ScrollUpButton
data-slot="select-scroll-up-button"
className={cn(
"flex cursor-default items-center justify-center py-1",
className
)}
{...props}
>
<ChevronUpIcon className="size-4" />
</SelectPrimitive.ScrollUpButton>
)
}
function SelectScrollDownButton({
className,
...props
}: React.ComponentProps<typeof SelectPrimitive.ScrollDownButton>) {
return (
<SelectPrimitive.ScrollDownButton
data-slot="select-scroll-down-button"
className={cn(
"flex cursor-default items-center justify-center py-1",
className
)}
{...props}
>
<ChevronDownIcon className="size-4" />
</SelectPrimitive.ScrollDownButton>
)
}
export {
Select,
SelectContent,
SelectGroup,
SelectItem,
SelectLabel,
SelectScrollDownButton,
SelectScrollUpButton,
SelectSeparator,
SelectTrigger,
SelectValue,
}

View File

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

View File

@@ -1,344 +1,72 @@
"use client"
"use client";
import type React from "react"
import { createContext, useContext, useEffect, useRef, useState } from "react"
import type { DrawIoEmbedRef } from "react-drawio"
import { STORAGE_DIAGRAM_XML_KEY } from "@/components/chat-panel"
import type { ExportFormat } from "@/components/save-dialog"
import { getApiEndpoint } from "@/lib/base-path"
import { extractDiagramXML, validateAndFixXml } from "../lib/utils"
import React, { createContext, useContext, useRef, useState } from "react";
import type { DrawIoEmbedRef } from "react-drawio";
import { extractDiagramXML } from "../lib/utils";
interface DiagramContextType {
chartXML: string
latestSvg: string
diagramHistory: { svg: string; xml: string }[]
loadDiagram: (chart: string, skipValidation?: boolean) => string | null
handleExport: () => void
handleExportWithoutHistory: () => void
resolverRef: React.Ref<((value: string) => void) | null>
drawioRef: React.Ref<DrawIoEmbedRef | null>
handleDiagramExport: (data: any) => void
clearDiagram: () => void
saveDiagramToFile: (
filename: string,
format: ExportFormat,
sessionId?: string,
) => void
saveDiagramToStorage: () => Promise<void>
isDrawioReady: boolean
onDrawioLoad: () => void
resetDrawioReady: () => void
showSaveDialog: boolean
setShowSaveDialog: (show: boolean) => void
chartXML: string;
latestSvg: string;
diagramHistory: { svg: string; xml: string }[];
loadDiagram: (chart: string) => void;
handleExport: () => void;
resolverRef: React.Ref<((value: string) => void) | null>;
drawioRef: React.Ref<DrawIoEmbedRef | null>;
handleDiagramExport: (data: any) => void;
clearDiagram: () => void;
}
const DiagramContext = createContext<DiagramContextType | undefined>(undefined)
const DiagramContext = createContext<DiagramContextType | undefined>(undefined);
export function DiagramProvider({ children }: { children: React.ReactNode }) {
const [chartXML, setChartXML] = useState<string>("")
const [latestSvg, setLatestSvg] = useState<string>("")
const [chartXML, setChartXML] = useState<string>("");
const [latestSvg, setLatestSvg] = useState<string>("");
const [diagramHistory, setDiagramHistory] = useState<
{ svg: string; xml: string }[]
>([])
const [isDrawioReady, setIsDrawioReady] = useState(false)
const [canSaveDiagram, setCanSaveDiagram] = useState(false)
const [showSaveDialog, setShowSaveDialog] = useState(false)
const hasCalledOnLoadRef = useRef(false)
const drawioRef = useRef<DrawIoEmbedRef | null>(null)
const resolverRef = useRef<((value: string) => void) | null>(null)
// Track if we're expecting an export for history (user-initiated)
const expectHistoryExportRef = useRef<boolean>(false)
// Track if diagram has been restored from localStorage
const hasDiagramRestoredRef = useRef<boolean>(false)
const onDrawioLoad = () => {
// Only set ready state once to prevent infinite loops
if (hasCalledOnLoadRef.current) return
hasCalledOnLoadRef.current = true
// console.log("[DiagramContext] DrawIO loaded, setting ready state")
setIsDrawioReady(true)
}
const resetDrawioReady = () => {
// console.log("[DiagramContext] Resetting DrawIO ready state")
hasCalledOnLoadRef.current = false
setIsDrawioReady(false)
}
// Restore diagram XML when DrawIO becomes ready
// eslint-disable-next-line react-hooks/exhaustive-deps -- loadDiagram uses refs internally and is stable
useEffect(() => {
// Reset restore flag when DrawIO is not ready (e.g., theme/UI change remounts it)
if (!isDrawioReady) {
hasDiagramRestoredRef.current = false
setCanSaveDiagram(false)
return
}
if (hasDiagramRestoredRef.current) return
hasDiagramRestoredRef.current = true
try {
const savedDiagramXml = localStorage.getItem(
STORAGE_DIAGRAM_XML_KEY,
)
if (savedDiagramXml) {
// Skip validation for trusted saved diagrams
loadDiagram(savedDiagramXml, true)
}
} catch (error) {
console.error("Failed to restore diagram from localStorage:", error)
}
// Allow saving after restore is complete
setTimeout(() => {
setCanSaveDiagram(true)
}, 500)
}, [isDrawioReady])
// Save diagram XML to localStorage whenever it changes (debounced)
useEffect(() => {
if (!canSaveDiagram) return
if (!chartXML || chartXML.length <= 300) return
const timeoutId = setTimeout(() => {
localStorage.setItem(STORAGE_DIAGRAM_XML_KEY, chartXML)
}, 1000)
return () => clearTimeout(timeoutId)
}, [chartXML, canSaveDiagram])
// Track if we're expecting an export for file save (stores raw export data)
const saveResolverRef = useRef<{
resolver: ((data: string) => void) | null
format: ExportFormat | null
}>({ resolver: null, format: null })
>([]);
const drawioRef = useRef<DrawIoEmbedRef | null>(null);
const resolverRef = useRef<((value: string) => void) | null>(null);
const handleExport = () => {
if (drawioRef.current) {
// Mark that this export should be saved to history
expectHistoryExportRef.current = true
drawioRef.current.exportDiagram({
format: "xmlsvg",
})
});
}
}
const handleExportWithoutHistory = () => {
if (drawioRef.current) {
// Export without saving to history (for edit_diagram fetching current state)
drawioRef.current.exportDiagram({
format: "xmlsvg",
})
}
}
// Save current diagram to localStorage (used before theme/UI changes)
const saveDiagramToStorage = async (): Promise<void> => {
if (!drawioRef.current) return
try {
const currentXml = await Promise.race([
new Promise<string>((resolve) => {
resolverRef.current = resolve
drawioRef.current?.exportDiagram({ format: "xmlsvg" })
}),
new Promise<string>((_, reject) =>
setTimeout(() => reject(new Error("Export timeout")), 2000),
),
])
// Only save if diagram has meaningful content (not empty template)
if (currentXml && currentXml.length > 300) {
localStorage.setItem(STORAGE_DIAGRAM_XML_KEY, currentXml)
}
} catch (error) {
console.error("Failed to save diagram to storage:", error)
}
}
const loadDiagram = (
chart: string,
skipValidation?: boolean,
): string | null => {
let xmlToLoad = chart
// Validate XML structure before loading (unless skipped for internal use)
if (!skipValidation) {
const validation = validateAndFixXml(chart)
if (!validation.valid) {
console.warn(
"[loadDiagram] Validation error:",
validation.error,
)
return validation.error
}
// Use fixed XML if auto-fix was applied
if (validation.fixed) {
console.log(
"[loadDiagram] Auto-fixed XML issues:",
validation.fixes,
)
xmlToLoad = validation.fixed
}
}
// Keep chartXML in sync even when diagrams are injected (e.g., display_diagram tool)
setChartXML(xmlToLoad)
};
const loadDiagram = (chart: string) => {
if (drawioRef.current) {
drawioRef.current.load({
xml: xmlToLoad,
})
xml: chart,
});
}
return null
}
};
const handleDiagramExport = (data: any) => {
// Handle save to file if requested (process raw data before extraction)
if (saveResolverRef.current.resolver) {
const format = saveResolverRef.current.format
saveResolverRef.current.resolver(data.data)
saveResolverRef.current = { resolver: null, format: null }
// For non-xmlsvg formats, skip XML extraction as it will fail
// Only drawio (which uses xmlsvg internally) has the content attribute
if (format === "png" || format === "svg") {
return
}
}
const extractedXML = extractDiagramXML(data.data)
setChartXML(extractedXML)
setLatestSvg(data.data)
// Only add to history if this was a user-initiated export
// Limit to 20 entries to prevent memory leaks during long sessions
const MAX_HISTORY_SIZE = 20
if (expectHistoryExportRef.current) {
setDiagramHistory((prev) => {
const newHistory = [
...prev,
{
svg: data.data,
xml: extractedXML,
},
]
// Keep only the last MAX_HISTORY_SIZE entries (circular buffer)
return newHistory.slice(-MAX_HISTORY_SIZE)
})
expectHistoryExportRef.current = false
}
const extractedXML = extractDiagramXML(data.data);
setChartXML(extractedXML);
setLatestSvg(data.data);
setDiagramHistory((prev) => [
...prev,
{
svg: data.data,
xml: extractedXML,
},
]);
if (resolverRef.current) {
resolverRef.current(extractedXML)
resolverRef.current = null
resolverRef.current(extractedXML);
resolverRef.current = null;
}
}
};
const clearDiagram = () => {
const emptyDiagram = `<mxfile><diagram name="Page-1" id="page-1"><mxGraphModel><root><mxCell id="0"/><mxCell id="1" parent="0"/></root></mxGraphModel></diagram></mxfile>`
// Skip validation for trusted internal template (loadDiagram also sets chartXML)
loadDiagram(emptyDiagram, true)
setLatestSvg("")
setDiagramHistory([])
}
const saveDiagramToFile = (
filename: string,
format: ExportFormat,
sessionId?: string,
) => {
if (!drawioRef.current) {
console.warn("Draw.io editor not ready")
return
}
// Map format to draw.io export format
const drawioFormat = format === "drawio" ? "xmlsvg" : format
// Set up the resolver before triggering export
saveResolverRef.current = {
resolver: (exportData: string) => {
let fileContent: string | Blob
let mimeType: string
let extension: string
if (format === "drawio") {
// Extract XML from SVG for .drawio format
const xml = extractDiagramXML(exportData)
let xmlContent = xml
if (!xml.includes("<mxfile")) {
xmlContent = `<mxfile><diagram name="Page-1" id="page-1">${xml}</diagram></mxfile>`
}
fileContent = xmlContent
mimeType = "application/xml"
extension = ".drawio"
// Save to localStorage when user manually saves
localStorage.setItem(STORAGE_DIAGRAM_XML_KEY, xmlContent)
} else if (format === "png") {
// PNG data comes as base64 data URL
fileContent = exportData
mimeType = "image/png"
extension = ".png"
} else {
// SVG format
fileContent = exportData
mimeType = "image/svg+xml"
extension = ".svg"
}
// Log save event to Langfuse (flags the trace)
logSaveToLangfuse(filename, format, sessionId)
// Handle download
let url: string
if (
typeof fileContent === "string" &&
fileContent.startsWith("data:")
) {
// Already a data URL (PNG)
url = fileContent
} else {
const blob = new Blob([fileContent], { type: mimeType })
url = URL.createObjectURL(blob)
}
const a = document.createElement("a")
a.href = url
a.download = `${filename}${extension}`
document.body.appendChild(a)
a.click()
document.body.removeChild(a)
// Delay URL revocation to ensure download completes
if (!url.startsWith("data:")) {
setTimeout(() => URL.revokeObjectURL(url), 100)
}
},
format,
}
// Export diagram - callback will be handled in handleDiagramExport
drawioRef.current.exportDiagram({ format: drawioFormat })
}
// Log save event to Langfuse (just flags the trace, doesn't send content)
const logSaveToLangfuse = async (
filename: string,
format: string,
sessionId?: string,
) => {
try {
await fetch(getApiEndpoint("/api/log-save"), {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ filename, format, sessionId }),
})
} catch (error) {
console.warn("Failed to log save to Langfuse:", error)
}
}
const emptyDiagram = `<mxfile><diagram name="Page-1" id="page-1"><mxGraphModel><root><mxCell id="0"/><mxCell id="1" parent="0"/></root></mxGraphModel></diagram></mxfile>`;
loadDiagram(emptyDiagram);
setChartXML(emptyDiagram);
setLatestSvg("");
setDiagramHistory([]);
};
return (
<DiagramContext.Provider
@@ -348,29 +76,21 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
diagramHistory,
loadDiagram,
handleExport,
handleExportWithoutHistory,
resolverRef,
drawioRef,
handleDiagramExport,
clearDiagram,
saveDiagramToFile,
saveDiagramToStorage,
isDrawioReady,
onDrawioLoad,
resetDrawioReady,
showSaveDialog,
setShowSaveDialog,
}}
>
{children}
</DiagramContext.Provider>
)
);
}
export function useDiagram() {
const context = useContext(DiagramContext)
const context = useContext(DiagramContext);
if (context === undefined) {
throw new Error("useDiagram must be used within a DiagramProvider")
throw new Error("useDiagram must be used within a DiagramProvider");
}
return context
return context;
}

View File

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

View File

@@ -1,281 +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](./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。
https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
## 目录
- [Next AI Draw.io](#next-ai-drawio)
- [目录](#目录)
- [示例](#示例)
- [功能特性](#功能特性)
- [MCP服务器预览](#mcp服务器预览)
- [快速开始](#快速开始)
- [在线试用](#在线试用)
- [使用Docker运行推荐](#使用docker运行推荐)
- [安装](#安装)
- [部署](#部署)
- [多提供商支持](#多提供商支持)
- [工作原理](#工作原理)
- [项目结构](#项目结构)
- [支持与联系](#支持与联系)
- [Star历史](#star历史)
## 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,可能会有变化。
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/)
> 注意:由于访问量较大,演示站点目前使用 minimax-m2 模型。如需获得最佳效果,建议使用 Claude Sonnet 4.5 或 Claude Opus 4.5 自行部署。
> **使用自己的 API Key**:您可以使用自己的 API Key 来绕过演示站点的用量限制。点击聊天面板中的设置图标即可配置您的 Provider 和 API Key。您的 Key 仅保存在浏览器本地,不会被存储在服务器上。
### 使用Docker运行推荐
如果您只想在本地运行最好的方式是使用Docker。
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
```
或者使用 env 文件:
```bash
cp env.example .env
# 编辑 .env 填写您的配置
docker run -d -p 3000:3000 --env-file .env ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
在浏览器中打开 [http://localhost:3000](http://localhost:3000)。
请根据您首选的AI提供商配置替换环境变量。可用选项请参阅[多提供商支持](#多提供商支持)。
> **离线部署:** 如果 `embed.diagrams.net` 被屏蔽,请参阅 [离线部署指南](./offline-deployment.md) 了解配置选项。
### 安装
1. 克隆仓库:
```bash
git clone https://github.com/DayuanJiang/next-ai-draw-io
cd next-ai-draw-io
```
2. 安装依赖:
```bash
npm 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, siliconflow
-`AI_MODEL` 设置为您要使用的特定模型
- 添加您的提供商所需的API密钥
- `TEMPERATURE`:可选的温度设置(例如 `0` 表示确定性输出)。对于不支持此参数的模型(如推理模型),请不要设置。
- `ACCESS_CODE_LIST` 访问密码,可选,可以使用逗号隔开多个密码。
> 警告:如果不填写 `ACCESS_CODE_LIST`,则任何人都可以直接使用你部署后的网站,可能会导致你的 token 被急速消耗完毕,建议填写此选项。
详细设置说明请参阅[提供商配置指南](./ai-providers.md)。
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。
## 多提供商支持
- AWS Bedrock默认
- OpenAI
- Anthropic
- Google AI
- Azure OpenAI
- Ollama
- OpenRouter
- DeepSeek
- SiliconFlow
除AWS Bedrock和OpenRouter外所有提供商都支持自定义端点。
📖 **[详细的提供商配置指南](./ai-providers.md)** - 查看各提供商的设置说明。
**模型要求**此任务需要强大的模型能力因为它涉及生成具有严格格式约束的长文本draw.io XML。推荐使用Claude Sonnet 4.5、GPT-4o、Gemini 2.0和DeepSeek V3/R1。
注意:`claude-sonnet-4-5` 已在带有AWS标志的draw.io图表上进行训练因此如果您想创建AWS架构图这是最佳选择。
## 工作原理
本应用使用以下技术:
- **Next.js**:用于前端框架和路由
- **Vercel AI SDK**`ai` + `@ai-sdk/*`用于流式AI响应和多提供商支持
- **react-drawio**:用于图表表示和操作
图表以XML格式表示可在draw.io中渲染。AI处理您的命令并相应地生成或修改此XML。
## 项目结构
```
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
```
## 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)
---

View File

@@ -1,281 +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](./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。
https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
## 目次
- [Next AI Draw.io](#next-ai-drawio)
- [目次](#目次)
- [](#例)
- [機能](#機能)
- [MCPサーバープレビュー](#mcpサーバープレビュー)
- [はじめに](#はじめに)
- [オンラインで試す](#オンラインで試す)
- [Dockerで実行推奨](#dockerで実行推奨)
- [インストール](#インストール)
- [デプロイ](#デプロイ)
- [マルチプロバイダーサポート](#マルチプロバイダーサポート)
- [仕組み](#仕組み)
- [プロジェクト構造](#プロジェクト構造)
- [サポート&お問い合わせ](#サポートお問い合わせ)
- [スター履歴](#スター履歴)
## 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、変更される可能性があります。
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/)
> 注意:アクセス数が多いため、デモサイトでは現在 minimax-m2 モデルを使用しています。最高の結果を得るには、Claude Sonnet 4.5 または Claude Opus 4.5 でのセルフホスティングをお勧めします。
> **自分のAPIキーを使用**自分のAPIキーを使用することで、デモサイトの利用制限を回避できます。チャットパネルの設定アイコンをクリックして、プロバイダーとAPIキーを設定してください。キーはブラウザのローカルに保存され、サーバーには保存されません。
### Dockerで実行推奨
ローカルで実行したいだけなら、Dockerを使用するのが最も簡単です。
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
```
または env ファイルを使用:
```bash
cp env.example .env
# .env を編集して設定を入力
docker run -d -p 3000:3000 --env-file .env ghcr.io/dayuanjiang/next-ai-draw-io:latest
```
ブラウザで [http://localhost:3000](http://localhost:3000) を開いてください。
環境変数はお好みのAIプロバイダー設定に置き換えてください。利用可能なオプションについては[マルチプロバイダーサポート](#マルチプロバイダーサポート)を参照してください。
> **オフラインデプロイ:** `embed.diagrams.net` がブロックされている場合は、[オフラインデプロイガイド](./offline-deployment.md) で設定オプションをご確認ください。
### インストール
1. リポジトリをクローン:
```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
```
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, siliconflow
- `AI_MODEL`を使用する特定のモデルに設定
- プロバイダーに必要なAPIキーを追加
- `TEMPERATURE`:オプションの温度設定(例:`0`で決定論的な出力)。温度をサポートしないモデル(推論モデルなど)では設定しないでください。
- `ACCESS_CODE_LIST` アクセスパスワード(オプション)。カンマ区切りで複数のパスワードを指定できます。
> 警告:`ACCESS_CODE_LIST`を設定しない場合、誰でもデプロイされたサイトに直接アクセスできるため、トークンが急速に消費される可能性があります。このオプションを設定することをお勧めします。
詳細な設定手順については[プロバイダー設定ガイド](./ai-providers.md)を参照してください。
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。
## マルチプロバイダーサポート
- AWS Bedrockデフォルト
- OpenAI
- Anthropic
- Google AI
- Azure OpenAI
- Ollama
- OpenRouter
- DeepSeek
- SiliconFlow
AWS BedrockとOpenRouter以外のすべてのプロバイダーはカスタムエンドポイントをサポートしています。
📖 **[詳細なプロバイダー設定ガイド](./ai-providers.md)** - 各プロバイダーの設定手順をご覧ください。
**モデル要件**このタスクは厳密なフォーマット制約draw.io XMLを持つ長文テキスト生成を伴うため、強力なモデル機能が必要です。Claude Sonnet 4.5、GPT-4o、Gemini 2.0、DeepSeek V3/R1を推奨します。
注:`claude-sonnet-4-5`はAWSロゴ付きのdraw.ioダイアグラムで学習されているため、AWSアーキテクチャダイアグラムを作成したい場合は最適な選択です。
## 仕組み
本アプリケーションは以下の技術を使用しています:
- **Next.js**:フロントエンドフレームワークとルーティング
- **Vercel AI SDK**`ai` + `@ai-sdk/*`ストリーミングAIレスポンスとマルチプロバイダーサポート
- **react-drawio**:ダイアグラムの表現と操作
ダイアグラムはdraw.ioでレンダリングできるXMLとして表現されます。AIがコマンドを処理し、それに応じてこのXMLを生成または変更します。
## プロジェクト構造
```
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
```
## 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)
---

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# 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
```
### SiliconFlow (OpenAI-compatible)
```bash
SILICONFLOW_API_KEY=your_api_key
AI_MODEL=deepseek-ai/DeepSeek-V3 # example; use any SiliconFlow model id
```
Optional custom endpoint (defaults to the recommended domain):
```bash
SILICONFLOW_BASE_URL=https://api.siliconflow.com/v1 # or https://api.siliconflow.cn/v1
```
### Azure OpenAI
```bash
AZURE_API_KEY=your_api_key
AZURE_RESOURCE_NAME=your-resource-name # Required: your Azure resource name
AI_MODEL=your-deployment-name
```
Or use a custom endpoint instead of resource name:
```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, azure, bedrock, openrouter, ollama, gateway
```
## 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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@@ -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;" vertex="1" parent="1">
<mxGeometry x="0" y="0" width="60" height="60" as="geometry" />
</mxCell>
```
## Shapes (298)
- `a7_power`
- `admin_connected`
- `admob`
- `advanced_solutions_lab`
- `ai_hub`
- `anomaly_detection`
- `api_analytics`
- `api_monetization`
- `apigee_api_platform`
- `apigee_sense`
- `app_engine`
- `app_engine_icon`
- `application`
- `application_system`
- `arrow_cycle`
- `arrows_system`
- `aspect_ratio`
- `automl_natural_language`
- `automl_tables`
- `automl_translation`
- `automl_video_intelligence`
- `automl_vision`
- `avere`
- `beacon`
- `beyondcorp`
- `big_query`
- `bigquery`
- `biomedical_beaker`
- `biomedical_test_tube`
- `biomedical_trio`
- `blank`
- `blue_hexagon`
- `bucket`
- `bucket_scale`
- `calculator`
- `campaign_manager`
- `capabilities`
- `certified_industry_standard`
- `check`
- `check_2`
- `check_available`
- `check_scale`
- `circuit_board`
- `clock`
- `cloud`
- `cloud_apis`
- `cloud_armor`
- `cloud_automl`
- `cloud_bigtable`
- `cloud_cdn`
- `cloud_checkmark`
- `cloud_code`
- `cloud_composer`
- `cloud_computer`
- `cloud_connected_insight`
- `cloud_data_catalog`
- `cloud_data_fusion`
- `cloud_dataflow`
- `cloud_dataflow_icon`
- `cloud_datalab`
- `cloud_dataprep`
- `cloud_dataproc`
- `cloud_dataproc_icon`
- `cloud_datastore`
- `cloud_deployment_manager`
- `cloud_dns`
- `cloud_endpoints`
- `cloud_external_ip_addresses`
- `cloud_filestore`
- `cloud_firestore`
- `cloud_firewall_rules`
- `cloud_functions`
- `cloud_iam`
- `cloud_inference_api`
- `cloud_information`
- `cloud_iot_core`
- `cloud_iot_edge`
- `cloud_jobs_api`
- `cloud_load_balancing`
- `cloud_machine_learning`
- `cloud_memorystore`
- `cloud_messaging`
- `cloud_monitoring`
- `cloud_nat`
- `cloud_natural_language_api`
- `cloud_network`
- `cloud_pubsub`
- `cloud_router`
- `cloud_routes`
- `cloud_run`
- `cloud_scheduler`
- `cloud_security`
- `cloud_security_command_center`
- `cloud_security_scanner`
- `cloud_server`
- `cloud_service_mesh`
- `cloud_spanner`
- `cloud_speech_api`
- `cloud_sql`
- `cloud_storage`
- `cloud_sub_pub`
- `cloud_tasks`
- `cloud_test_lab`
- `cloud_text_to_speech`
- `cloud_tools_for_powershell`
- `cloud_tpu`
- `cloud_translation_api`
- `cloud_video_intelligence_api`
- `cloud_vision_api`
- `cloud_vpn`
- `cluster`
- `compute_engine`
- `compute_engine_2`
- `compute_engine_icon`
- `connected`
- `container_builder`
- `container_engine`
- `container_engine_icon`
- `container_optimized_os`
- `container_registry`
- `cost`
- `cost_arrows`
- `cost_savings`
- `data_access`
- `data_increase`
- `data_loss_prevention_api`
- `data_storage_cost`
- `data_studio`
- `database`
- `database_2`
- `database_3`
- `database_cycle`
- `database_speed`
- `database_uploading`
- `debugger`
- `dedicated_game_server`
- `dedicated_interconnect`
- `desktop`
- `desktop_and_mobile`
- `developer_portal`
- `dialogflow_enterprise_edition`
- `enhance_ui`
- `enhance_ui_2`
- `error_reporting`
- `external_data_center`
- `external_data_resource`
- `external_payment_form`
- `fastly`
- `files`
- `firebase`
- `folders`
- `forseti_lockup`
- `forseti_logo`
- `frontend_platform_services`
- `game`
- `gateway`
- `gateway_icon`
- `gear`
- `gear_arrow`
- `gear_chain`
- `gear_load`
- `genomics`
- `gke_on_prem`
- `globe_world`
- `google_ad_manager`
- `google_ads`
- `google_analytics`
- `google_analytics_360`
- `google_cloud_platform`
- `google_cloud_platform_lockup`
- `google_network`
- `google_network_edge_cache`
- `google_play_game_service`
- `gpu`
- `half_cloud`
- `https_load_balancer`
- `identity_aware_proxy`
- `image_services`
- `increase_cost_arrows`
- `internal_payment_authorization`
- `internet_connection`
- `istio_logo`
- `key`
- `key_management_service`
- `kubernetes_logo`
- `kubernetes_name`
- `laptop`
- `legacy_cloud`
- `legacy_cloud_2`
- `lifecycle`
- `lightbulb`
- `list`
- `live`
- `load_balancing`
- `loading`
- `loading_2`
- `loading_3`
- `lock`
- `logging`
- `logs_api`
- `management_security`
- `maps_api`
- `mem_instances`
- `memcache`
- `memory_card`
- `mobile_devices`
- `modifiers_autoscaling`
- `modifiers_custom_virtual_machine`
- `modifiers_high_cpu_machine`
- `modifiers_high_memory_machine`
- `modifiers_preemptable_vm`
- `modifiers_shared_core_machine_f1`
- `modifiers_shared_core_machine_g1`
- `modifiers_standard_machine`
- `modifiers_storage`
- `monitor`
- `monitor_2`
- `mxgraph.gcp2`
- `nat`
- `network`
- `network_load_balancer`
- `node`
- `outline_blank_1`
- `outline_blank_2`
- `outline_blank_3`
- `outline_highcomp`
- `outline_highmem`
- `partner_interconnect`
- `payment`
- `people_security_management`
- `persistent_disk`
- `persistent_disk_snapshot`
- `phone`
- `phone_android`
- `placeholder`
- `play_gear`
- `play_start`
- `prediction_api`
- `premium_network_tier`
- `primary`
- `process`
- `profiler`
- `push_notification_service`
- `recommendations_ai`
- `record`
- `replication_controller`
- `replication_controller_2`
- `replication_controller_3`
- `report`
- `repository`
- `repository_2`
- `repository_3`
- `repository_primary`
- `retail`
- `safety`
- `save`
- `scale`
- `scheduled_tasks`
- `search`
- `search_api`
- `security_key_enforcement`
- `segments`
- `segments_2`
- `segments_overlap`
- `servers_stacked`
- `service`
- `service_discovery`
- `social_media_time`
- `solution`
- `speaker`
- `speed`
- `squid_proxy`
- `stackdriver`
- `stacked_ownership`
- `standard_network_tier`
- `storage`
- `stream`
- `swap`
- `systems_check`
- `tape_record`
- `task_queues`
- `task_queues_2`
- `tensorflow_lockup`
- `tensorflow_logo`
- `thumbs_up`
- `time_clock`
- `trace`
- `traffic_director`
- `transfer_appliance`
- `users`
- `view_list`
- `virtual_file_system`
- `virtual_private_cloud`
- `visibility`
- `vpn`
- `vpn_gateway`
- `webcam`
- `website`

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

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

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

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

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

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

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

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

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

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

View File

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

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