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0
renovate.json → .github/renovate.json
vendored
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vendored
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.github/workflows/auto-format.yml
vendored
@@ -20,13 +20,10 @@ jobs:
|
||||
- name: Setup Node.js
|
||||
uses: actions/setup-node@v6
|
||||
with:
|
||||
node-version: '20'
|
||||
|
||||
- name: Install Biome
|
||||
run: npm install --save-dev @biomejs/biome
|
||||
node-version: '24'
|
||||
|
||||
- name: Run Biome format
|
||||
run: npx @biomejs/biome check --write --no-errors-on-unmatched .
|
||||
run: npx @biomejs/biome@latest check --write --no-errors-on-unmatched .
|
||||
|
||||
- name: Check for changes
|
||||
id: changes
|
||||
|
||||
4
.github/workflows/ci.yml
vendored
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.github/workflows/ci.yml
vendored
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|
||||
- name: Setup Node.js
|
||||
uses: actions/setup-node@v6
|
||||
with:
|
||||
node-version: '20'
|
||||
node-version: '24'
|
||||
cache: 'npm'
|
||||
|
||||
- name: Install dependencies
|
||||
run: npm ci
|
||||
run: npm install
|
||||
|
||||
- name: Type check
|
||||
run: npx tsc --noEmit
|
||||
|
||||
2
.github/workflows/docker-build.yml
vendored
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.github/workflows/docker-build.yml
vendored
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|
||||
type=raw,value=latest,enable={{is_default_branch}}
|
||||
|
||||
- name: Build and push Docker image
|
||||
uses: docker/build-push-action@v5
|
||||
uses: docker/build-push-action@v6
|
||||
with:
|
||||
context: .
|
||||
push: ${{ github.event_name != 'pull_request' }}
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||||
|
||||
2
.github/workflows/electron-release.yml
vendored
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.github/workflows/electron-release.yml
vendored
@@ -34,7 +34,7 @@ jobs:
|
||||
- name: Setup Node.js
|
||||
uses: actions/setup-node@v6
|
||||
with:
|
||||
node-version: 20
|
||||
node-version: 24
|
||||
cache: "npm"
|
||||
|
||||
- name: Install dependencies
|
||||
|
||||
5
.gitignore
vendored
5
.gitignore
vendored
@@ -62,4 +62,7 @@ push-via-ec2.sh
|
||||
*.snap
|
||||
|
||||
CLAUDE.md
|
||||
.spec-workflow
|
||||
.spec-workflow
|
||||
|
||||
# edgeone
|
||||
.edgeone
|
||||
@@ -1,7 +1,7 @@
|
||||
# Multi-stage Dockerfile for Next.js
|
||||
|
||||
# Stage 1: Install dependencies
|
||||
FROM node:20-alpine AS deps
|
||||
FROM node:24-alpine AS deps
|
||||
RUN apk add --no-cache libc6-compat
|
||||
WORKDIR /app
|
||||
|
||||
@@ -9,10 +9,10 @@ WORKDIR /app
|
||||
COPY package.json package-lock.json* ./
|
||||
|
||||
# Install dependencies
|
||||
RUN npm ci
|
||||
RUN npm install
|
||||
|
||||
# Stage 2: Build application
|
||||
FROM node:20-alpine AS builder
|
||||
FROM node:24-alpine AS builder
|
||||
WORKDIR /app
|
||||
|
||||
# Copy node_modules from deps stage
|
||||
@@ -34,7 +34,7 @@ ENV NEXT_PUBLIC_SHOW_ABOUT_AND_NOTICE=${NEXT_PUBLIC_SHOW_ABOUT_AND_NOTICE}
|
||||
RUN npm run build
|
||||
|
||||
# Stage 3: Production runtime
|
||||
FROM node:20-alpine AS runner
|
||||
FROM node:24-alpine AS runner
|
||||
WORKDIR /app
|
||||
|
||||
ENV NODE_ENV=production
|
||||
|
||||
143
README.md
143
README.md
@@ -4,7 +4,7 @@
|
||||
|
||||
**AI-Powered Diagram Creation Tool - Chat, Draw, Visualize**
|
||||
|
||||
English | [中文](./docs/README_CN.md) | [日本語](./docs/README_JA.md)
|
||||
English | [中文](./docs/cn/README_CN.md) | [日本語](./docs/ja/README_JA.md)
|
||||
|
||||
[](https://next-ai-drawio.jiang.jp/)
|
||||
|
||||
@@ -19,6 +19,7 @@ English | [中文](./docs/README_CN.md) | [日本語](./docs/README_JA.md)
|
||||
|
||||
A Next.js web application that integrates AI capabilities with draw.io diagrams. Create, modify, and enhance diagrams through natural language commands and AI-assisted visualization.
|
||||
|
||||
> Note: Thanks to <img src="https://raw.githubusercontent.com/DayuanJiang/next-ai-draw-io/main/public/doubao-color.png" alt="" height="20" /> [ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) sponsorship, the demo site now uses the powerful K2-thinking model!
|
||||
|
||||
|
||||
https://github.com/user-attachments/assets/9d60a3e8-4a1c-4b5e-acbb-26af2d3eabd1
|
||||
@@ -26,20 +27,23 @@ https://github.com/user-attachments/assets/9d60a3e8-4a1c-4b5e-acbb-26af2d3eabd1
|
||||
|
||||
|
||||
## Table of Contents
|
||||
- [Next AI Draw.io ](#next-ai-drawio-)
|
||||
- [Next AI Draw.io](#next-ai-drawio)
|
||||
- [Table of Contents](#table-of-contents)
|
||||
- [Examples](#examples)
|
||||
- [Features](#features)
|
||||
- [MCP Server (Preview)](#mcp-server-preview)
|
||||
- [Claude Code CLI](#claude-code-cli)
|
||||
- [Getting Started](#getting-started)
|
||||
- [Try it Online](#try-it-online)
|
||||
- [Desktop Application](#desktop-application)
|
||||
- [Run with Docker (Recommended)](#run-with-docker-recommended)
|
||||
- [Run with Docker](#run-with-docker)
|
||||
- [Installation](#installation)
|
||||
- [Deployment](#deployment)
|
||||
- [Deploy to EdgeOne Pages](#deploy-to-edgeone-pages)
|
||||
- [Deploy on Vercel (Recommended)](#deploy-on-vercel-recommended)
|
||||
- [Deploy on Cloudflare Workers](#deploy-on-cloudflare-workers)
|
||||
- [Multi-Provider Support](#multi-provider-support)
|
||||
- [How It Works](#how-it-works)
|
||||
- [Project Structure](#project-structure)
|
||||
- [Support \& Contact](#support--contact)
|
||||
- [Star History](#star-history)
|
||||
|
||||
@@ -96,7 +100,7 @@ Here are some example prompts and their generated diagrams:
|
||||
|
||||
## MCP Server (Preview)
|
||||
|
||||
> **Preview Feature**: This feature is experimental and may not stable.
|
||||
> **Preview Feature**: This feature is experimental and may not be stable.
|
||||
|
||||
Use Next AI Draw.io with AI agents like Claude Desktop, Cursor, and VS Code via MCP (Model Context Protocol).
|
||||
|
||||
@@ -132,7 +136,7 @@ No installation needed! Try the app directly on our demo site:
|
||||
|
||||
[](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.
|
||||
|
||||
@@ -140,53 +144,11 @@ No installation needed! Try the app directly on our demo site:
|
||||
|
||||
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) |
|
||||
Supported platforms: Windows, macOS, Linux.
|
||||
|
||||
**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
|
||||
### Run with Docker
|
||||
|
||||
**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.
|
||||
[Go to Docker Guide](./docs/en/docker.md)
|
||||
|
||||
### Installation
|
||||
|
||||
@@ -195,61 +157,51 @@ Replace the environment variables with your preferred AI provider configuration.
|
||||
```bash
|
||||
git clone https://github.com/DayuanJiang/next-ai-draw-io
|
||||
cd next-ai-draw-io
|
||||
```
|
||||
|
||||
2. Install dependencies:
|
||||
|
||||
```bash
|
||||
npm install
|
||||
```
|
||||
|
||||
3. Configure your AI provider:
|
||||
|
||||
Create a `.env.local` file in the root directory:
|
||||
|
||||
```bash
|
||||
cp env.example .env.local
|
||||
```
|
||||
|
||||
Edit `.env.local` and configure your chosen provider:
|
||||
See the [Provider Configuration Guide](./docs/en/ai-providers.md) for detailed setup instructions for each provider.
|
||||
|
||||
- Set `AI_PROVIDER` to your chosen provider (bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow)
|
||||
- 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.
|
||||
|
||||
4. Run the development server:
|
||||
2. Run the development server:
|
||||
|
||||
```bash
|
||||
npm run dev
|
||||
```
|
||||
|
||||
5. Open [http://localhost:3000](http://localhost:3000) in your browser to see the application.
|
||||
3. Open [http://localhost:6002](http://localhost:6002) in your browser to see the application.
|
||||
|
||||
## Deployment
|
||||
|
||||
The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new) from the creators of Next.js.
|
||||
### Deploy to EdgeOne Pages
|
||||
|
||||
Check out the [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details.
|
||||
You can deploy with one click using [Tencent EdgeOne Pages](https://pages.edgeone.ai/).
|
||||
|
||||
Deploy by this button:
|
||||
|
||||
[](https://edgeone.ai/pages/new?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
|
||||
|
||||
Check out the [Tencent EdgeOne Pages documentation](https://pages.edgeone.ai/document/deployment-overview) for more details.
|
||||
|
||||
Additionally, deploying through Tencent EdgeOne Pages will also grant you a [daily free quota for DeepSeek models](https://pages.edgeone.ai/document/edge-ai).
|
||||
|
||||
### Deploy on Vercel (Recommended)
|
||||
|
||||
Or you can deploy by this button.
|
||||
[](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
|
||||
|
||||
Be sure to **set the environment variables** in the Vercel dashboard as you did in your local `.env.local` file.
|
||||
The easiest way to deploy is using [Vercel](https://vercel.com/new), the creators of Next.js. Be sure to **set the environment variables** in the Vercel dashboard as you did in your local `.env.local` file.
|
||||
|
||||
## Deploy on Cloudflare Workers
|
||||
See the [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details.
|
||||
|
||||
[Go to Cloudflare Deploy Guide](./docs/Cloudflare_Deploy.md)
|
||||
### Deploy on Cloudflare Workers
|
||||
|
||||
[Go to Cloudflare Deploy Guide](./docs/en/cloudflare-deploy.md)
|
||||
|
||||
|
||||
|
||||
## Multi-Provider Support
|
||||
|
||||
- [ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)
|
||||
- AWS Bedrock (default)
|
||||
- OpenAI
|
||||
- Anthropic
|
||||
@@ -259,14 +211,17 @@ Be sure to **set the environment variables** in the Vercel dashboard as you did
|
||||
- OpenRouter
|
||||
- DeepSeek
|
||||
- SiliconFlow
|
||||
- SGLang
|
||||
- Vercel AI Gateway
|
||||
|
||||
|
||||
All providers except AWS Bedrock and OpenRouter support custom endpoints.
|
||||
|
||||
📖 **[Detailed Provider Configuration Guide](./docs/ai-providers.md)** - See setup instructions for each provider.
|
||||
📖 **[Detailed Provider Configuration Guide](./docs/en/ai-providers.md)** - See setup instructions for each provider.
|
||||
|
||||
**Model Requirements**: This task requires strong model capabilities for generating long-form text with strict formatting constraints (draw.io XML). Recommended models include Claude Sonnet 4.5, GPT-5.1, Gemini 3 Pro, and DeepSeek V3.2/R1.
|
||||
|
||||
Note that `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.
|
||||
Note that the `claude` series has been trained on draw.io diagrams with cloud architecture logos like AWS, Azure, GCP. So if you want to create cloud architecture diagrams, this is the best choice.
|
||||
|
||||
|
||||
## How It Works
|
||||
@@ -279,27 +234,11 @@ The application uses the following technologies:
|
||||
|
||||
Diagrams are represented as XML that can be rendered in draw.io. The AI processes your commands and generates or modifies this XML accordingly.
|
||||
|
||||
## Project Structure
|
||||
|
||||
```
|
||||
app/ # Next.js App Router
|
||||
api/chat/ # Chat API endpoint with AI tools
|
||||
page.tsx # Main page with DrawIO embed
|
||||
components/ # React components
|
||||
chat-panel.tsx # Chat interface with diagram control
|
||||
chat-input.tsx # User input component with file upload
|
||||
history-dialog.tsx # Diagram version history viewer
|
||||
ui/ # UI components (buttons, cards, etc.)
|
||||
contexts/ # React context providers
|
||||
diagram-context.tsx # Global diagram state management
|
||||
lib/ # Utility functions and helpers
|
||||
ai-providers.ts # Multi-provider AI configuration
|
||||
utils.ts # XML processing and conversion utilities
|
||||
public/ # Static assets including example images
|
||||
```
|
||||
|
||||
## Support & Contact
|
||||
|
||||
**Special thanks to [ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) for sponsoring the API token usage of the demo site!** Register on the ARK platform to get 500K free tokens for all models!
|
||||
|
||||
If you find this project useful, please consider [sponsoring](https://github.com/sponsors/DayuanJiang) to help me host the live demo site!
|
||||
|
||||
For support or inquiries, please open an issue on the GitHub repository or contact the maintainer at:
|
||||
|
||||
@@ -72,96 +72,70 @@ export default function AboutCN() {
|
||||
<p className="text-xl text-gray-600 font-medium">
|
||||
AI驱动的图表创建工具 - 对话、绘制、可视化
|
||||
</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"
|
||||
>
|
||||
中文
|
||||
</Link>
|
||||
<span className="text-gray-400">|</span>
|
||||
<Link
|
||||
href="/about/ja"
|
||||
className="text-gray-600 hover:text-blue-600"
|
||||
>
|
||||
日本語
|
||||
</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 mb-8 rounded-2xl bg-gradient-to-br from-amber-50 via-orange-50 to-yellow-50 p-[1px] shadow-lg">
|
||||
<div className="absolute inset-0 rounded-2xl bg-gradient-to-br from-amber-400 via-orange-400 to-yellow-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">
|
||||
模型变更与用量限制{" "}
|
||||
<span className="text-sm text-amber-600 font-medium italic font-normal">
|
||||
(或者说:我的钱包顶不住了)
|
||||
</span>
|
||||
由字节跳动豆包提供支持
|
||||
</h3>
|
||||
</div>
|
||||
|
||||
{/* Story */}
|
||||
<div className="space-y-3 text-sm text-gray-700 leading-relaxed mb-5">
|
||||
<p>
|
||||
大家对这个项目的热情太高了——看来大家都真的很喜欢画图!但这也带来了一个幸福的烦恼:我们经常触发出上游
|
||||
AI 接口的频率限制
|
||||
(TPS/TPM)。一旦超限,系统就会暂停,导致请求失败。
|
||||
</p>
|
||||
<p>
|
||||
由于使用量过高,我已将模型从 Opus 4.5 更换为{" "}
|
||||
好消息!感谢{" "}
|
||||
<a
|
||||
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="font-semibold text-blue-600 hover:underline"
|
||||
>
|
||||
字节跳动豆包
|
||||
</a>
|
||||
的慷慨赞助,演示站点现已接入强大的{" "}
|
||||
<span className="font-semibold text-amber-700">
|
||||
Haiku 4.5
|
||||
</span>
|
||||
,以降低成本。
|
||||
</p>
|
||||
<p>
|
||||
作为一个
|
||||
K2-thinking
|
||||
</span>{" "}
|
||||
模型,图表生成效果更佳!点击链接注册即可领取{" "}
|
||||
<span className="font-semibold text-amber-700">
|
||||
独立开发者
|
||||
50万免费Token
|
||||
</span>
|
||||
,目前的 API
|
||||
费用全是我自己在掏腰包(纯属为爱发电)。为了保证服务能细水长流,同时也为了避免我个人陷入财务危机,我还设置了以下临时用量限制:
|
||||
,适用于所有模型!
|
||||
</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 用量
|
||||
</div>
|
||||
<div className="text-lg font-bold text-gray-900">
|
||||
{formatNumber(tpmLimit)}
|
||||
<span className="text-sm font-normal text-gray-600">
|
||||
/分钟
|
||||
</span>
|
||||
</div>
|
||||
<div className="text-lg font-bold text-gray-900">
|
||||
{formatNumber(dailyTokenLimit)}
|
||||
<span className="text-sm font-normal text-gray-600">
|
||||
/天
|
||||
</span>
|
||||
</div>
|
||||
{/* Usage Limits */}
|
||||
<p className="text-sm text-gray-600 mb-3">
|
||||
当前使用限制:
|
||||
</p>
|
||||
<div className="grid grid-cols-3 gap-3 mb-5">
|
||||
<div className="text-center p-3 bg-white/60 rounded-lg">
|
||||
<p className="text-lg font-bold text-amber-600">
|
||||
{formatNumber(dailyRequestLimit)}
|
||||
</p>
|
||||
<p className="text-xs text-gray-500">
|
||||
请求/天
|
||||
</p>
|
||||
</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">
|
||||
每日请求数
|
||||
</div>
|
||||
<div className="text-2xl font-bold text-gray-900">
|
||||
{dailyRequestLimit}
|
||||
</div>
|
||||
<div className="text-sm text-gray-600">
|
||||
次
|
||||
</div>
|
||||
<div className="text-center p-3 bg-white/60 rounded-lg">
|
||||
<p className="text-lg font-bold text-amber-600">
|
||||
{formatNumber(dailyTokenLimit)}
|
||||
</p>
|
||||
<p className="text-xs text-gray-500">
|
||||
Token/天
|
||||
</p>
|
||||
</div>
|
||||
<div className="text-center p-3 bg-white/60 rounded-lg">
|
||||
<p className="text-lg font-bold text-amber-600">
|
||||
{formatNumber(tpmLimit)}
|
||||
</p>
|
||||
<p className="text-xs text-gray-500">
|
||||
Token/分钟
|
||||
</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@@ -171,48 +145,19 @@ export default function AboutCN() {
|
||||
</div>
|
||||
|
||||
{/* Bring Your Own Key */}
|
||||
<div className="text-center mb-5">
|
||||
<div className="text-center">
|
||||
<h4 className="text-base font-bold text-gray-900 mb-2">
|
||||
使用自己的 API Key
|
||||
</h4>
|
||||
<p className="text-sm text-gray-600 mb-2 max-w-md mx-auto">
|
||||
您可以使用自己的 API Key
|
||||
来绕过这些限制。点击聊天面板中的设置图标即可配置您的
|
||||
Provider 和 API Key。
|
||||
您也可以使用自己的 API
|
||||
Key,支持多种服务商。点击聊天面板中的设置图标即可配置。
|
||||
</p>
|
||||
<p className="text-xs text-gray-500 max-w-md mx-auto">
|
||||
您的 Key
|
||||
仅保存在浏览器本地,不会被存储在服务器上。
|
||||
</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">
|
||||
寻求赞助 (求大佬捞一把)
|
||||
</h4>
|
||||
<p className="text-sm text-gray-600 mb-4 max-w-md mx-auto">
|
||||
要想彻底解除这些限制,扩容后端是唯一的办法。我正在积极寻求
|
||||
AI API 提供商或云平台的赞助。
|
||||
</p>
|
||||
<p className="text-sm text-gray-600 mb-4 max-w-md mx-auto">
|
||||
作为回报(无论是额度支持还是资金支持),我将在
|
||||
GitHub 仓库和 Live Demo
|
||||
网站的显眼位置展示贵公司的 Logo
|
||||
作为平台赞助商。
|
||||
</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"
|
||||
>
|
||||
联系我
|
||||
</a>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@@ -377,6 +322,16 @@ export default function AboutCN() {
|
||||
多提供商支持
|
||||
</h2>
|
||||
<ul className="list-disc pl-6 text-gray-700 space-y-1">
|
||||
<li>
|
||||
<a
|
||||
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="text-blue-600 hover:underline"
|
||||
>
|
||||
字节跳动豆包
|
||||
</a>
|
||||
</li>
|
||||
<li>AWS Bedrock(默认)</li>
|
||||
<li>
|
||||
OpenAI / OpenAI兼容API(通过{" "}
|
||||
@@ -388,6 +343,7 @@ export default function AboutCN() {
|
||||
<li>Ollama</li>
|
||||
<li>OpenRouter</li>
|
||||
<li>DeepSeek</li>
|
||||
<li>SiliconFlow</li>
|
||||
</ul>
|
||||
<p className="text-gray-700 mt-4">
|
||||
注意:<code>claude-sonnet-4-5</code>{" "}
|
||||
@@ -395,18 +351,21 @@ export default function AboutCN() {
|
||||
</p>
|
||||
|
||||
{/* Support */}
|
||||
<div className="flex items-center gap-4 mt-10 mb-4">
|
||||
<h2 className="text-2xl font-semibold text-gray-900">
|
||||
支持与联系
|
||||
</h2>
|
||||
<iframe
|
||||
src="https://github.com/sponsors/DayuanJiang/button"
|
||||
title="Sponsor DayuanJiang"
|
||||
height="32"
|
||||
width="114"
|
||||
style={{ border: 0, borderRadius: 6 }}
|
||||
/>
|
||||
</div>
|
||||
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4">
|
||||
支持与联系
|
||||
</h2>
|
||||
<p className="text-gray-700 mb-4 font-semibold">
|
||||
特别感谢{" "}
|
||||
<a
|
||||
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="text-blue-600 hover:underline"
|
||||
>
|
||||
字节跳动豆包
|
||||
</a>{" "}
|
||||
为本站提供 API Token 支持!
|
||||
</p>
|
||||
<p className="text-gray-700">
|
||||
如果您觉得这个项目有用,请考虑{" "}
|
||||
<a
|
||||
|
||||
@@ -80,97 +80,70 @@ export default function AboutJA() {
|
||||
AI搭載のダイアグラム作成ツール -
|
||||
チャット、描画、可視化
|
||||
</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"
|
||||
>
|
||||
中文
|
||||
</Link>
|
||||
<span className="text-gray-400">|</span>
|
||||
<Link
|
||||
href="/about/ja"
|
||||
className="text-blue-600 font-semibold"
|
||||
>
|
||||
日本語
|
||||
</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 mb-8 rounded-2xl bg-gradient-to-br from-amber-50 via-orange-50 to-yellow-50 p-[1px] shadow-lg">
|
||||
<div className="absolute inset-0 rounded-2xl bg-gradient-to-br from-amber-400 via-orange-400 to-yellow-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">
|
||||
モデル変更と利用制限について{" "}
|
||||
<span className="text-sm text-amber-600 font-medium italic font-normal">
|
||||
(別名:お財布が悲鳴を上げています)
|
||||
</span>
|
||||
ByteDance Doubao提供
|
||||
</h3>
|
||||
</div>
|
||||
|
||||
{/* Story */}
|
||||
<div className="space-y-3 text-sm text-gray-700 leading-relaxed mb-5">
|
||||
<p>
|
||||
予想以上の反響をいただき、ありがとうございます!皆様にダイアグラム作成を楽しんでいただいているのは嬉しい限りですが、その熱量により
|
||||
AI API のレート制限 (TPS/TPM)
|
||||
に頻繁に引っかかってしまっています。制限に達するとシステムが一時停止し、エラーが発生してしまいます。
|
||||
</p>
|
||||
<p>
|
||||
利用量の増加に伴い、コスト削減のためモデルを
|
||||
Opus 4.5 から{" "}
|
||||
朗報です!
|
||||
<a
|
||||
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="font-semibold text-blue-600 hover:underline"
|
||||
>
|
||||
ByteDance Doubao
|
||||
</a>
|
||||
様のご支援により、デモサイトでは強力な{" "}
|
||||
<span className="font-semibold text-amber-700">
|
||||
Haiku 4.5
|
||||
K2-thinking
|
||||
</span>{" "}
|
||||
に変更しました。
|
||||
</p>
|
||||
<p>
|
||||
私は現在、
|
||||
モデルを利用できるようになり、より高品質なダイアグラム生成が可能になりました。リンクから登録すると、すべてのモデルで使える{" "}
|
||||
<span className="font-semibold text-amber-700">
|
||||
個人開発者
|
||||
50万トークン
|
||||
</span>
|
||||
として API
|
||||
費用を全額自腹で負担しています。サービスを継続し、かつ私自身が借金を背負わないようにするため(笑)、一時的に以下の利用制限も設けさせていただきました。
|
||||
が無料でもらえます!
|
||||
</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">
|
||||
トークン使用量
|
||||
</div>
|
||||
<div className="text-lg font-bold text-gray-900">
|
||||
{formatNumber(tpmLimit)}
|
||||
<span className="text-sm font-normal text-gray-600">
|
||||
/分
|
||||
</span>
|
||||
</div>
|
||||
<div className="text-lg font-bold text-gray-900">
|
||||
{formatNumber(dailyTokenLimit)}
|
||||
<span className="text-sm font-normal text-gray-600">
|
||||
/日
|
||||
</span>
|
||||
</div>
|
||||
{/* Usage Limits */}
|
||||
<p className="text-sm text-gray-600 mb-3">
|
||||
現在の使用制限:
|
||||
</p>
|
||||
<div className="grid grid-cols-3 gap-3 mb-5">
|
||||
<div className="text-center p-3 bg-white/60 rounded-lg">
|
||||
<p className="text-lg font-bold text-amber-600">
|
||||
{formatNumber(dailyRequestLimit)}
|
||||
</p>
|
||||
<p className="text-xs text-gray-500">
|
||||
リクエスト/日
|
||||
</p>
|
||||
</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日のリクエスト数
|
||||
</div>
|
||||
<div className="text-2xl font-bold text-gray-900">
|
||||
{dailyRequestLimit}
|
||||
</div>
|
||||
<div className="text-sm text-gray-600">
|
||||
回
|
||||
</div>
|
||||
<div className="text-center p-3 bg-white/60 rounded-lg">
|
||||
<p className="text-lg font-bold text-amber-600">
|
||||
{formatNumber(dailyTokenLimit)}
|
||||
</p>
|
||||
<p className="text-xs text-gray-500">
|
||||
トークン/日
|
||||
</p>
|
||||
</div>
|
||||
<div className="text-center p-3 bg-white/60 rounded-lg">
|
||||
<p className="text-lg font-bold text-amber-600">
|
||||
{formatNumber(tpmLimit)}
|
||||
</p>
|
||||
<p className="text-xs text-gray-500">
|
||||
トークン/分
|
||||
</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@@ -180,44 +153,17 @@ export default function AboutJA() {
|
||||
</div>
|
||||
|
||||
{/* Bring Your Own Key */}
|
||||
<div className="text-center mb-5">
|
||||
<div className="text-center">
|
||||
<h4 className="text-base font-bold text-gray-900 mb-2">
|
||||
自分のAPIキーを使用
|
||||
</h4>
|
||||
<p className="text-sm text-gray-600 mb-2 max-w-md mx-auto">
|
||||
自分のAPIキーを使用することで、これらの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。
|
||||
お好みのプロバイダーで自分のAPIキーを使用することもできます。チャットパネルの設定アイコンをクリックして設定してください。
|
||||
</p>
|
||||
<p className="text-xs text-gray-500 max-w-md mx-auto">
|
||||
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。
|
||||
</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">
|
||||
スポンサー募集
|
||||
</h4>
|
||||
<p className="text-sm text-gray-600 mb-4 max-w-md mx-auto">
|
||||
これらの制限を取り払い、バックエンドをスケールさせるには皆様の支援が必要です。現在、AI
|
||||
API
|
||||
プロバイダー様やクラウドプラットフォーム様からのスポンサー支援を積極的に募集しています。
|
||||
</p>
|
||||
<p className="text-sm text-gray-600 mb-4 max-w-md mx-auto">
|
||||
ご支援(クレジット提供や資金援助)をいただける場合、GitHub
|
||||
リポジトリおよびデモサイトにて、プラットフォームスポンサーとして貴社を大々的にご紹介させていただきます。
|
||||
</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"
|
||||
>
|
||||
お問い合わせ
|
||||
</a>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@@ -391,6 +337,16 @@ export default function AboutJA() {
|
||||
マルチプロバイダーサポート
|
||||
</h2>
|
||||
<ul className="list-disc pl-6 text-gray-700 space-y-1">
|
||||
<li>
|
||||
<a
|
||||
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="text-blue-600 hover:underline"
|
||||
>
|
||||
ByteDance Doubao
|
||||
</a>
|
||||
</li>
|
||||
<li>AWS Bedrock(デフォルト)</li>
|
||||
<li>
|
||||
OpenAI / OpenAI互換API(<code>OPENAI_BASE_URL</code>
|
||||
@@ -402,6 +358,7 @@ export default function AboutJA() {
|
||||
<li>Ollama</li>
|
||||
<li>OpenRouter</li>
|
||||
<li>DeepSeek</li>
|
||||
<li>SiliconFlow</li>
|
||||
</ul>
|
||||
<p className="text-gray-700 mt-4">
|
||||
注:<code>claude-sonnet-4-5</code>
|
||||
@@ -409,18 +366,21 @@ export default function AboutJA() {
|
||||
</p>
|
||||
|
||||
{/* Support */}
|
||||
<div className="flex items-center gap-4 mt-10 mb-4">
|
||||
<h2 className="text-2xl font-semibold text-gray-900">
|
||||
サポート&お問い合わせ
|
||||
</h2>
|
||||
<iframe
|
||||
src="https://github.com/sponsors/DayuanJiang/button"
|
||||
title="Sponsor DayuanJiang"
|
||||
height="32"
|
||||
width="114"
|
||||
style={{ border: 0, borderRadius: 6 }}
|
||||
/>
|
||||
</div>
|
||||
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4">
|
||||
サポート&お問い合わせ
|
||||
</h2>
|
||||
<p className="text-gray-700 mb-4 font-semibold">
|
||||
デモサイトのAPIトークン使用を支援してくださった{" "}
|
||||
<a
|
||||
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="text-blue-600 hover:underline"
|
||||
>
|
||||
ByteDance Doubao
|
||||
</a>{" "}
|
||||
様に、心より感謝申し上げます。
|
||||
</p>
|
||||
<p className="text-gray-700">
|
||||
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{" "}
|
||||
<a
|
||||
|
||||
@@ -80,103 +80,72 @@ export default function About() {
|
||||
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"
|
||||
>
|
||||
中文
|
||||
</Link>
|
||||
<span className="text-gray-400">|</span>
|
||||
<Link
|
||||
href="/about/ja"
|
||||
className="text-gray-600 hover:text-blue-600"
|
||||
>
|
||||
日本語
|
||||
</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 mb-8 rounded-2xl bg-gradient-to-br from-amber-50 via-orange-50 to-yellow-50 p-[1px] shadow-lg">
|
||||
<div className="absolute inset-0 rounded-2xl bg-gradient-to-br from-amber-400 via-orange-400 to-yellow-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>
|
||||
Sponsored by ByteDance Doubao
|
||||
</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
|
||||
incredible—you 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 Opus 4.5 to{" "}
|
||||
Great news! Thanks to the generous
|
||||
sponsorship from{" "}
|
||||
<a
|
||||
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="font-semibold text-blue-600 hover:underline"
|
||||
>
|
||||
ByteDance Doubao
|
||||
</a>
|
||||
, the demo site now uses the powerful{" "}
|
||||
<span className="font-semibold text-amber-700">
|
||||
Haiku 4.5
|
||||
</span>
|
||||
, which is more cost-effective.
|
||||
</p>
|
||||
<p>
|
||||
As an{" "}
|
||||
K2-thinking
|
||||
</span>{" "}
|
||||
model for better diagram generation! Sign up
|
||||
via the link to get{" "}
|
||||
<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:
|
||||
500K free tokens
|
||||
</span>{" "}
|
||||
for all models!
|
||||
</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>
|
||||
{/* Usage Limits */}
|
||||
<p className="text-sm text-gray-600 mb-3">
|
||||
Please note the current usage limits:
|
||||
</p>
|
||||
<div className="grid grid-cols-3 gap-3 mb-5">
|
||||
<div className="text-center p-3 bg-white/60 rounded-lg">
|
||||
<p className="text-lg font-bold text-amber-600">
|
||||
{formatNumber(dailyRequestLimit)}
|
||||
</p>
|
||||
<p className="text-xs text-gray-500">
|
||||
requests/day
|
||||
</p>
|
||||
</div>
|
||||
<div className="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 className="text-center p-3 bg-white/60 rounded-lg">
|
||||
<p className="text-lg font-bold text-amber-600">
|
||||
{formatNumber(dailyTokenLimit)}
|
||||
</p>
|
||||
<p className="text-xs text-gray-500">
|
||||
tokens/day
|
||||
</p>
|
||||
</div>
|
||||
<div className="text-center p-3 bg-white/60 rounded-lg">
|
||||
<p className="text-lg font-bold text-amber-600">
|
||||
{formatNumber(tpmLimit)}
|
||||
</p>
|
||||
<p className="text-xs text-gray-500">
|
||||
tokens/min
|
||||
</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@@ -186,51 +155,21 @@ export default function About() {
|
||||
</div>
|
||||
|
||||
{/* Bring Your Own Key */}
|
||||
<div className="text-center mb-5">
|
||||
<div className="text-center">
|
||||
<h4 className="text-base font-bold text-gray-900 mb-2">
|
||||
Bring Your Own API Key
|
||||
</h4>
|
||||
<p className="text-sm text-gray-600 mb-2 max-w-md mx-auto">
|
||||
You can use your own API key to bypass these
|
||||
limits. Click the Settings icon in the chat
|
||||
panel to configure your provider and API
|
||||
key.
|
||||
You can also use your own API key with any
|
||||
supported provider. Click the Settings icon
|
||||
in the chat panel to configure your provider
|
||||
and API key.
|
||||
</p>
|
||||
<p className="text-xs text-gray-500 max-w-md mx-auto">
|
||||
Your key is stored locally in your browser
|
||||
and is never stored on the server.
|
||||
</p>
|
||||
</div>
|
||||
|
||||
{/* 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>
|
||||
|
||||
@@ -417,6 +356,16 @@ export default function About() {
|
||||
Multi-Provider Support
|
||||
</h2>
|
||||
<ul className="list-disc pl-6 text-gray-700 space-y-1">
|
||||
<li>
|
||||
<a
|
||||
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="text-blue-600 hover:underline"
|
||||
>
|
||||
ByteDance Doubao
|
||||
</a>
|
||||
</li>
|
||||
<li>AWS Bedrock (default)</li>
|
||||
<li>
|
||||
OpenAI / OpenAI-compatible APIs (via{" "}
|
||||
@@ -428,6 +377,7 @@ export default function About() {
|
||||
<li>Ollama</li>
|
||||
<li>OpenRouter</li>
|
||||
<li>DeepSeek</li>
|
||||
<li>SiliconFlow</li>
|
||||
</ul>
|
||||
<p className="text-gray-700 mt-4">
|
||||
Note that <code>claude-sonnet-4-5</code> has trained on
|
||||
@@ -437,18 +387,21 @@ export default function About() {
|
||||
</p>
|
||||
|
||||
{/* Support */}
|
||||
<div className="flex items-center gap-4 mt-10 mb-4">
|
||||
<h2 className="text-2xl font-semibold text-gray-900">
|
||||
Support & Contact
|
||||
</h2>
|
||||
<iframe
|
||||
src="https://github.com/sponsors/DayuanJiang/button"
|
||||
title="Sponsor DayuanJiang"
|
||||
height="32"
|
||||
width="114"
|
||||
style={{ border: 0, borderRadius: 6 }}
|
||||
/>
|
||||
</div>
|
||||
<h2 className="text-2xl font-semibold text-gray-900 mt-10 mb-4">
|
||||
Support & Contact
|
||||
</h2>
|
||||
<p className="text-gray-700 mb-4 font-semibold">
|
||||
Special thanks to{" "}
|
||||
<a
|
||||
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="text-blue-600 hover:underline"
|
||||
>
|
||||
ByteDance Doubao
|
||||
</a>{" "}
|
||||
for sponsoring the API token usage of the demo site!
|
||||
</p>
|
||||
<p className="text-gray-700">
|
||||
If you find this project useful, please consider{" "}
|
||||
<a
|
||||
|
||||
@@ -28,6 +28,8 @@ export default function Home() {
|
||||
} = useDiagram()
|
||||
const router = useRouter()
|
||||
const pathname = usePathname()
|
||||
// Extract current language from pathname (e.g., "/zh/about" → "zh")
|
||||
const currentLang = (pathname.split("/")[1] || i18n.defaultLocale) as Locale
|
||||
const [isMobile, setIsMobile] = useState(false)
|
||||
const [isChatVisible, setIsChatVisible] = useState(true)
|
||||
const [drawioUi, setDrawioUi] = useState<"min" | "sketch">("min")
|
||||
@@ -207,7 +209,7 @@ export default function Home() {
|
||||
<div className="h-full rounded-xl overflow-hidden shadow-soft-lg border border-border/30">
|
||||
{isLoaded ? (
|
||||
<DrawIoEmbed
|
||||
key={`${drawioUi}-${darkMode}`}
|
||||
key={`${drawioUi}-${darkMode}-${currentLang}`}
|
||||
ref={drawioRef}
|
||||
onExport={handleDiagramExport}
|
||||
onLoad={onDrawioLoad}
|
||||
@@ -220,6 +222,7 @@ export default function Home() {
|
||||
saveAndExit: false,
|
||||
noExitBtn: true,
|
||||
dark: darkMode,
|
||||
lang: currentLang,
|
||||
}}
|
||||
/>
|
||||
) : (
|
||||
|
||||
@@ -12,7 +12,11 @@ import fs from "fs/promises"
|
||||
import { jsonrepair } from "jsonrepair"
|
||||
import path from "path"
|
||||
import { z } from "zod"
|
||||
import { getAIModel, supportsPromptCaching } from "@/lib/ai-providers"
|
||||
import {
|
||||
getAIModel,
|
||||
supportsImageInput,
|
||||
supportsPromptCaching,
|
||||
} from "@/lib/ai-providers"
|
||||
import { findCachedResponse } from "@/lib/cached-responses"
|
||||
import {
|
||||
checkAndIncrementRequest,
|
||||
@@ -244,9 +248,22 @@ async function handleChatRequest(req: Request): Promise<Response> {
|
||||
// === CACHE CHECK END ===
|
||||
|
||||
// Read client AI provider overrides from headers
|
||||
const provider = req.headers.get("x-ai-provider")
|
||||
let baseUrl = req.headers.get("x-ai-base-url")
|
||||
|
||||
// For EdgeOne provider, construct full URL from request origin
|
||||
// because createOpenAI needs absolute URL, not relative path
|
||||
if (provider === "edgeone" && !baseUrl) {
|
||||
const origin = req.headers.get("origin") || new URL(req.url).origin
|
||||
baseUrl = `${origin}/api/edgeai`
|
||||
}
|
||||
|
||||
// Get cookie header for EdgeOne authentication (eo_token, eo_time)
|
||||
const cookieHeader = req.headers.get("cookie")
|
||||
|
||||
const clientOverrides = {
|
||||
provider: req.headers.get("x-ai-provider"),
|
||||
baseUrl: req.headers.get("x-ai-base-url"),
|
||||
provider,
|
||||
baseUrl,
|
||||
apiKey: req.headers.get("x-ai-api-key"),
|
||||
modelId: req.headers.get("x-ai-model"),
|
||||
// AWS Bedrock credentials
|
||||
@@ -254,6 +271,11 @@ async function handleChatRequest(req: Request): Promise<Response> {
|
||||
awsSecretAccessKey: req.headers.get("x-aws-secret-access-key"),
|
||||
awsRegion: req.headers.get("x-aws-region"),
|
||||
awsSessionToken: req.headers.get("x-aws-session-token"),
|
||||
// Pass cookies for EdgeOne Pages authentication
|
||||
...(provider === "edgeone" &&
|
||||
cookieHeader && {
|
||||
headers: { cookie: cookieHeader },
|
||||
}),
|
||||
}
|
||||
|
||||
// Read minimal style preference from header
|
||||
@@ -277,6 +299,17 @@ async function handleChatRequest(req: Request): Promise<Response> {
|
||||
lastUserMessage?.parts?.filter((part: any) => part.type === "file") ||
|
||||
[]
|
||||
|
||||
// Check if user is sending images to a model that doesn't support them
|
||||
// AI SDK silently drops unsupported parts, so we need to catch this early
|
||||
if (fileParts.length > 0 && !supportsImageInput(modelId)) {
|
||||
return Response.json(
|
||||
{
|
||||
error: `The model "${modelId}" does not support image input. Please use a vision-capable model (e.g., GPT-4o, Claude, Gemini) or remove the image.`,
|
||||
},
|
||||
{ status: 400 },
|
||||
)
|
||||
}
|
||||
|
||||
// User input only - XML is now in a separate cached system message
|
||||
const formattedUserInput = `User input:
|
||||
"""md
|
||||
@@ -605,7 +638,7 @@ Notes:
|
||||
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.
|
||||
- delete: Remove a cell. Cascade is automatic: children AND edges (source/target) are auto-deleted. Only specify ONE cell_id.
|
||||
|
||||
For update/add, new_xml must be a complete mxCell element including mxGeometry.
|
||||
|
||||
@@ -614,8 +647,8 @@ For update/add, new_xml must be a complete mxCell element including mxGeometry.
|
||||
Example - Add a rectangle:
|
||||
{"operations": [{"operation": "add", "cell_id": "rect-1", "new_xml": "<mxCell id=\\"rect-1\\" value=\\"Hello\\" style=\\"rounded=0;\\" vertex=\\"1\\" parent=\\"1\\"><mxGeometry x=\\"100\\" y=\\"100\\" width=\\"120\\" height=\\"60\\" as=\\"geometry\\"/></mxCell>"}]}
|
||||
|
||||
Example - Delete a cell:
|
||||
{"operations": [{"operation": "delete", "cell_id": "rect-1"}]}`,
|
||||
Example - Delete container (children & edges auto-deleted):
|
||||
{"operations": [{"operation": "delete", "cell_id": "2"}]}`,
|
||||
inputSchema: z.object({
|
||||
operations: z
|
||||
.array(
|
||||
|
||||
@@ -121,7 +121,7 @@ export async function POST(req: Request) {
|
||||
{ status: 400 },
|
||||
)
|
||||
}
|
||||
} else if (provider !== "ollama" && !apiKey) {
|
||||
} else if (provider !== "ollama" && provider !== "edgeone" && !apiKey) {
|
||||
return NextResponse.json(
|
||||
{ valid: false, error: "API key is required" },
|
||||
{ status: 400 },
|
||||
@@ -225,6 +225,42 @@ export async function POST(req: Request) {
|
||||
break
|
||||
}
|
||||
|
||||
case "edgeone": {
|
||||
// EdgeOne uses OpenAI-compatible API via Edge Functions
|
||||
// Need to pass cookies for EdgeOne Pages authentication
|
||||
const cookieHeader = req.headers.get("cookie") || ""
|
||||
const edgeone = createOpenAI({
|
||||
apiKey: "edgeone", // EdgeOne doesn't require API key
|
||||
baseURL: baseUrl || "/api/edgeai",
|
||||
headers: {
|
||||
cookie: cookieHeader,
|
||||
},
|
||||
})
|
||||
model = edgeone.chat(modelId)
|
||||
break
|
||||
}
|
||||
|
||||
case "sglang": {
|
||||
// SGLang is OpenAI-compatible
|
||||
const sglang = createOpenAI({
|
||||
apiKey: apiKey || "not-needed",
|
||||
baseURL: baseUrl || "http://127.0.0.1:8000/v1",
|
||||
})
|
||||
model = sglang.chat(modelId)
|
||||
break
|
||||
}
|
||||
|
||||
case "doubao": {
|
||||
// ByteDance Doubao uses DeepSeek-compatible API
|
||||
const doubao = createDeepSeek({
|
||||
apiKey,
|
||||
baseURL:
|
||||
baseUrl || "https://ark.cn-beijing.volces.com/api/v3",
|
||||
})
|
||||
model = doubao(modelId)
|
||||
break
|
||||
}
|
||||
|
||||
default:
|
||||
return NextResponse.json(
|
||||
{ valid: false, error: `Unknown provider: ${provider}` },
|
||||
|
||||
@@ -17,14 +17,9 @@ 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"
|
||||
@@ -152,12 +147,9 @@ interface ChatInputProps {
|
||||
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
|
||||
@@ -175,12 +167,8 @@ export function ChatInput({
|
||||
files = [],
|
||||
onFileChange = () => {},
|
||||
pdfData = new Map(),
|
||||
showHistory = false,
|
||||
onToggleHistory = () => {},
|
||||
sessionId,
|
||||
error = null,
|
||||
minimalStyle = false,
|
||||
onMinimalStyleChange = () => {},
|
||||
models = [],
|
||||
selectedModelId,
|
||||
onModelSelect = () => {},
|
||||
@@ -188,16 +176,14 @@ export function ChatInput({
|
||||
onConfigureModels = () => {},
|
||||
}: ChatInputProps) {
|
||||
const dict = useDictionary()
|
||||
const {
|
||||
diagramHistory,
|
||||
saveDiagramToFile,
|
||||
showSaveDialog,
|
||||
setShowSaveDialog,
|
||||
} = useDiagram()
|
||||
const { diagramHistory, saveDiagramToFile } = useDiagram()
|
||||
|
||||
const textareaRef = useRef<HTMLTextAreaElement>(null)
|
||||
const fileInputRef = useRef<HTMLInputElement>(null)
|
||||
const [isDragging, setIsDragging] = useState(false)
|
||||
const [showClearDialog, setShowClearDialog] = useState(false)
|
||||
const [showHistory, setShowHistory] = useState(false)
|
||||
const [showSaveDialog, setShowSaveDialog] = useState(false)
|
||||
// Allow retry when there's an error (even if status is still "streaming" or "submitted")
|
||||
const isDisabled =
|
||||
(status === "streaming" || status === "submitted") && !error
|
||||
@@ -385,99 +371,58 @@ export function ChatInput({
|
||||
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>
|
||||
<div className="flex items-center gap-1 overflow-x-hidden">
|
||||
<ButtonWithTooltip
|
||||
type="button"
|
||||
variant="ghost"
|
||||
size="sm"
|
||||
onClick={() => setShowHistory(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>
|
||||
<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}
|
||||
/>
|
||||
<ButtonWithTooltip
|
||||
type="button"
|
||||
variant="ghost"
|
||||
size="sm"
|
||||
onClick={triggerFileInput}
|
||||
disabled={isDisabled}
|
||||
tooltipContent={dict.chat.uploadFile}
|
||||
className="h-8 w-8 p-0 text-muted-foreground hover:text-foreground"
|
||||
>
|
||||
<ImageIcon className="h-4 w-4" />
|
||||
</ButtonWithTooltip>
|
||||
|
||||
<input
|
||||
type="file"
|
||||
ref={fileInputRef}
|
||||
className="hidden"
|
||||
onChange={handleFileChange}
|
||||
accept="image/*,.pdf,application/pdf,text/*,.md,.markdown,.json,.csv,.xml,.yaml,.yml,.toml"
|
||||
multiple
|
||||
disabled={isDisabled}
|
||||
/>
|
||||
</div>
|
||||
<ModelSelector
|
||||
models={models}
|
||||
selectedModelId={selectedModelId}
|
||||
@@ -486,9 +431,7 @@ export function ChatInput({
|
||||
disabled={isDisabled}
|
||||
showUnvalidatedModels={showUnvalidatedModels}
|
||||
/>
|
||||
|
||||
<div className="w-px h-5 bg-border mx-1" />
|
||||
|
||||
<Button
|
||||
type="submit"
|
||||
disabled={isDisabled || !input.trim()}
|
||||
@@ -510,6 +453,20 @@ export function ChatInput({
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<HistoryDialog
|
||||
showHistory={showHistory}
|
||||
onToggleHistory={setShowHistory}
|
||||
/>
|
||||
<SaveDialog
|
||||
open={showSaveDialog}
|
||||
onOpenChange={setShowSaveDialog}
|
||||
onSave={(filename, format) =>
|
||||
saveDiagramToFile(filename, format, sessionId)
|
||||
}
|
||||
defaultFilename={`diagram-${new Date()
|
||||
.toISOString()
|
||||
.slice(0, 10)}`}
|
||||
/>
|
||||
</form>
|
||||
)
|
||||
}
|
||||
|
||||
@@ -27,6 +27,7 @@ import {
|
||||
ReasoningTrigger,
|
||||
} from "@/components/ai-elements/reasoning"
|
||||
import { ScrollArea } from "@/components/ui/scroll-area"
|
||||
import { useDictionary } from "@/hooks/use-dictionary"
|
||||
import { getApiEndpoint } from "@/lib/base-path"
|
||||
import {
|
||||
applyDiagramOperations,
|
||||
@@ -205,6 +206,7 @@ export function ChatMessageDisplay({
|
||||
onEditMessage,
|
||||
status = "idle",
|
||||
}: ChatMessageDisplayProps) {
|
||||
const dict = useDictionary()
|
||||
const { chartXML, loadDiagram: onDisplayChart } = useDiagram()
|
||||
const messagesEndRef = useRef<HTMLDivElement>(null)
|
||||
const previousXML = useRef<string>("")
|
||||
@@ -228,6 +230,12 @@ export function ChatMessageDisplay({
|
||||
const [expandedTools, setExpandedTools] = useState<Record<string, boolean>>(
|
||||
{},
|
||||
)
|
||||
const [copiedToolCallId, setCopiedToolCallId] = useState<string | null>(
|
||||
null,
|
||||
)
|
||||
const [copyFailedToolCallId, setCopyFailedToolCallId] = useState<
|
||||
string | null
|
||||
>(null)
|
||||
const [copiedMessageId, setCopiedMessageId] = useState<string | null>(null)
|
||||
const [copyFailedMessageId, setCopyFailedMessageId] = useState<
|
||||
string | null
|
||||
@@ -243,12 +251,38 @@ export function ChatMessageDisplay({
|
||||
Record<string, boolean>
|
||||
>({})
|
||||
|
||||
const copyMessageToClipboard = async (messageId: string, text: string) => {
|
||||
const setCopyState = (
|
||||
messageId: string,
|
||||
isToolCall: boolean,
|
||||
isSuccess: boolean,
|
||||
) => {
|
||||
if (isSuccess) {
|
||||
if (isToolCall) {
|
||||
setCopiedToolCallId(messageId)
|
||||
setTimeout(() => setCopiedToolCallId(null), 2000)
|
||||
} else {
|
||||
setCopiedMessageId(messageId)
|
||||
setTimeout(() => setCopiedMessageId(null), 2000)
|
||||
}
|
||||
} else {
|
||||
if (isToolCall) {
|
||||
setCopyFailedToolCallId(messageId)
|
||||
setTimeout(() => setCopyFailedToolCallId(null), 2000)
|
||||
} else {
|
||||
setCopyFailedMessageId(messageId)
|
||||
setTimeout(() => setCopyFailedMessageId(null), 2000)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
const copyMessageToClipboard = async (
|
||||
messageId: string,
|
||||
text: string,
|
||||
isToolCall = false,
|
||||
) => {
|
||||
try {
|
||||
await navigator.clipboard.writeText(text)
|
||||
|
||||
setCopiedMessageId(messageId)
|
||||
setTimeout(() => setCopiedMessageId(null), 2000)
|
||||
setCopyState(messageId, isToolCall, true)
|
||||
} catch (err) {
|
||||
// Fallback for non-secure contexts (HTTP) or permission denied
|
||||
const textarea = document.createElement("textarea")
|
||||
@@ -264,15 +298,11 @@ export function ChatMessageDisplay({
|
||||
if (!success) {
|
||||
throw new Error("Copy command failed")
|
||||
}
|
||||
setCopiedMessageId(messageId)
|
||||
setTimeout(() => setCopiedMessageId(null), 2000)
|
||||
setCopyState(messageId, isToolCall, true)
|
||||
} catch (fallbackErr) {
|
||||
console.error("Failed to copy message:", fallbackErr)
|
||||
toast.error(
|
||||
"Failed to copy message. Please copy manually or check clipboard permissions.",
|
||||
)
|
||||
setCopyFailedMessageId(messageId)
|
||||
setTimeout(() => setCopyFailedMessageId(null), 2000)
|
||||
toast.error(dict.chat.failedToCopyDetail)
|
||||
setCopyState(messageId, isToolCall, false)
|
||||
} finally {
|
||||
document.body.removeChild(textarea)
|
||||
}
|
||||
@@ -304,7 +334,7 @@ export function ChatMessageDisplay({
|
||||
})
|
||||
} catch (error) {
|
||||
console.error("Failed to log feedback:", error)
|
||||
toast.error("Failed to record your feedback. Please try again.")
|
||||
toast.error(dict.errors.failedToRecordFeedback)
|
||||
// Revert optimistic UI update
|
||||
setFeedback((prev) => {
|
||||
const next = { ...prev }
|
||||
@@ -349,9 +379,7 @@ export function ChatMessageDisplay({
|
||||
console.error(
|
||||
"[ChatMessageDisplay] Malformed XML detected in final output",
|
||||
)
|
||||
toast.error(
|
||||
"AI generated invalid diagram XML. Please try regenerating.",
|
||||
)
|
||||
toast.error(dict.errors.malformedXml)
|
||||
}
|
||||
return // Skip this update
|
||||
}
|
||||
@@ -402,9 +430,7 @@ export function ChatMessageDisplay({
|
||||
"[ChatMessageDisplay] XML validation failed:",
|
||||
validation.error,
|
||||
)
|
||||
toast.error(
|
||||
"Diagram validation failed. Please try regenerating.",
|
||||
)
|
||||
toast.error(dict.errors.validationFailed)
|
||||
}
|
||||
} catch (error) {
|
||||
console.error(
|
||||
@@ -413,9 +439,7 @@ export function ChatMessageDisplay({
|
||||
)
|
||||
// Only show toast if this is the final XML (not during streaming)
|
||||
if (showToast) {
|
||||
toast.error(
|
||||
"Failed to process diagram. Please try regenerating.",
|
||||
)
|
||||
toast.error(dict.errors.failedToProcess)
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -647,6 +671,7 @@ export function ChatMessageDisplay({
|
||||
const { state, input, output } = part
|
||||
const isExpanded = expandedTools[callId] ?? true
|
||||
const toolName = part.type?.replace("tool-", "")
|
||||
const isCopied = copiedToolCallId === callId
|
||||
|
||||
const toggleExpanded = () => {
|
||||
setExpandedTools((prev) => ({
|
||||
@@ -668,6 +693,35 @@ export function ChatMessageDisplay({
|
||||
}
|
||||
}
|
||||
|
||||
const handleCopy = () => {
|
||||
let textToCopy = ""
|
||||
|
||||
if (input && typeof input === "object") {
|
||||
if (input.xml) {
|
||||
textToCopy = input.xml
|
||||
} else if (
|
||||
input.operations &&
|
||||
Array.isArray(input.operations)
|
||||
) {
|
||||
textToCopy = JSON.stringify(input.operations, null, 2)
|
||||
} else if (Object.keys(input).length > 0) {
|
||||
textToCopy = JSON.stringify(input, null, 2)
|
||||
}
|
||||
}
|
||||
|
||||
if (
|
||||
output &&
|
||||
toolName === "get_shape_library" &&
|
||||
typeof output === "string"
|
||||
) {
|
||||
textToCopy = output
|
||||
}
|
||||
|
||||
if (textToCopy) {
|
||||
copyMessageToClipboard(callId, textToCopy, true)
|
||||
}
|
||||
}
|
||||
|
||||
return (
|
||||
<div
|
||||
key={callId}
|
||||
@@ -687,9 +741,32 @@ export function ChatMessageDisplay({
|
||||
<div className="h-4 w-4 border-2 border-primary border-t-transparent rounded-full animate-spin" />
|
||||
)}
|
||||
{state === "output-available" && (
|
||||
<span className="text-xs font-medium text-green-600 bg-green-50 px-2 py-0.5 rounded-full">
|
||||
Complete
|
||||
</span>
|
||||
<>
|
||||
<span className="text-xs font-medium text-green-600 bg-green-50 px-2 py-0.5 rounded-full">
|
||||
{dict.tools.complete}
|
||||
</span>
|
||||
{isExpanded && (
|
||||
<button
|
||||
type="button"
|
||||
onClick={handleCopy}
|
||||
className="p-1 rounded hover:bg-muted transition-colors"
|
||||
title={
|
||||
copiedToolCallId === callId
|
||||
? dict.chat.copied
|
||||
: copyFailedToolCallId ===
|
||||
callId
|
||||
? dict.chat.failedToCopy
|
||||
: dict.chat.copyResponse
|
||||
}
|
||||
>
|
||||
{isCopied ? (
|
||||
<Check className="w-4 h-4 text-green-600" />
|
||||
) : (
|
||||
<Copy className="w-4 h-4 text-muted-foreground" />
|
||||
)}
|
||||
</button>
|
||||
)}
|
||||
</>
|
||||
)}
|
||||
{state === "output-error" &&
|
||||
(() => {
|
||||
@@ -832,7 +909,10 @@ export function ChatMessageDisplay({
|
||||
)
|
||||
}}
|
||||
className="p-1.5 rounded-lg text-muted-foreground/60 hover:text-muted-foreground hover:bg-muted transition-colors"
|
||||
title="Edit message"
|
||||
title={
|
||||
dict.chat
|
||||
.editMessage
|
||||
}
|
||||
>
|
||||
<Pencil className="h-3.5 w-3.5" />
|
||||
</button>
|
||||
@@ -849,11 +929,13 @@ export function ChatMessageDisplay({
|
||||
title={
|
||||
copiedMessageId ===
|
||||
message.id
|
||||
? "Copied!"
|
||||
? dict.chat.copied
|
||||
: copyFailedMessageId ===
|
||||
message.id
|
||||
? "Failed to copy"
|
||||
: "Copy message"
|
||||
? dict.chat
|
||||
.failedToCopy
|
||||
: dict.chat
|
||||
.copyResponse
|
||||
}
|
||||
>
|
||||
{copiedMessageId ===
|
||||
@@ -968,7 +1050,7 @@ export function ChatMessageDisplay({
|
||||
}}
|
||||
className="px-3 py-1.5 text-xs rounded-lg bg-muted hover:bg-muted/80 transition-colors"
|
||||
>
|
||||
Cancel
|
||||
{dict.common.cancel}
|
||||
</button>
|
||||
<button
|
||||
type="button"
|
||||
@@ -990,7 +1072,7 @@ export function ChatMessageDisplay({
|
||||
disabled={!editText.trim()}
|
||||
className="px-3 py-1.5 text-xs rounded-lg bg-primary text-primary-foreground hover:bg-primary/90 disabled:opacity-50 transition-colors"
|
||||
>
|
||||
Save & Submit
|
||||
{dict.chat.saveAndSubmit}
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
@@ -1123,7 +1205,8 @@ export function ChatMessageDisplay({
|
||||
"user" &&
|
||||
isLastUserMessage &&
|
||||
onEditMessage
|
||||
? "Click to edit"
|
||||
? dict.chat
|
||||
.clickToEdit
|
||||
: undefined
|
||||
}
|
||||
>
|
||||
@@ -1325,8 +1408,8 @@ export function ChatMessageDisplay({
|
||||
title={
|
||||
copiedMessageId ===
|
||||
message.id
|
||||
? "Copied!"
|
||||
: "Copy response"
|
||||
? dict.chat.copied
|
||||
: dict.chat.copyResponse
|
||||
}
|
||||
>
|
||||
{copiedMessageId ===
|
||||
@@ -1352,7 +1435,9 @@ export function ChatMessageDisplay({
|
||||
)
|
||||
}
|
||||
className="p-1.5 rounded-lg text-muted-foreground/60 hover:text-foreground hover:bg-muted transition-colors"
|
||||
title="Regenerate response"
|
||||
title={
|
||||
dict.chat.regenerate
|
||||
}
|
||||
>
|
||||
<RotateCcw className="h-3.5 w-3.5" />
|
||||
</button>
|
||||
@@ -1374,7 +1459,7 @@ export function ChatMessageDisplay({
|
||||
? "text-green-600 bg-green-100"
|
||||
: "text-muted-foreground/60 hover:text-green-600 hover:bg-green-50"
|
||||
}`}
|
||||
title="Good response"
|
||||
title={dict.chat.goodResponse}
|
||||
>
|
||||
<ThumbsUp className="h-3.5 w-3.5" />
|
||||
</button>
|
||||
@@ -1393,7 +1478,7 @@ export function ChatMessageDisplay({
|
||||
? "text-red-600 bg-red-100"
|
||||
: "text-muted-foreground/60 hover:text-red-600 hover:bg-red-50"
|
||||
}`}
|
||||
title="Bad response"
|
||||
title={dict.chat.badResponse}
|
||||
>
|
||||
<ThumbsDown className="h-3.5 w-3.5" />
|
||||
</button>
|
||||
|
||||
@@ -3,35 +3,28 @@
|
||||
import { useChat } from "@ai-sdk/react"
|
||||
import { DefaultChatTransport } from "ai"
|
||||
import {
|
||||
AlertTriangle,
|
||||
MessageSquarePlus,
|
||||
PanelRightClose,
|
||||
PanelRightOpen,
|
||||
Settings,
|
||||
} from "lucide-react"
|
||||
import Image from "next/image"
|
||||
import Link from "next/link"
|
||||
import type React from "react"
|
||||
import { useCallback, useEffect, useRef, useState } from "react"
|
||||
import { flushSync } from "react-dom"
|
||||
import { FaGithub } from "react-icons/fa"
|
||||
import { Toaster, toast } from "sonner"
|
||||
import { ButtonWithTooltip } from "@/components/button-with-tooltip"
|
||||
import { ChatInput } from "@/components/chat-input"
|
||||
import { ModelConfigDialog } from "@/components/model-config-dialog"
|
||||
import { ResetWarningModal } from "@/components/reset-warning-modal"
|
||||
import { SettingsDialog } from "@/components/settings-dialog"
|
||||
import {
|
||||
Tooltip,
|
||||
TooltipContent,
|
||||
TooltipTrigger,
|
||||
} from "@/components/ui/tooltip"
|
||||
import { useDiagram } from "@/contexts/diagram-context"
|
||||
import { useDiagramToolHandlers } from "@/hooks/use-diagram-tool-handlers"
|
||||
import { useDictionary } from "@/hooks/use-dictionary"
|
||||
import { getSelectedAIConfig, useModelConfig } from "@/hooks/use-model-config"
|
||||
import { getApiEndpoint } from "@/lib/base-path"
|
||||
import { findCachedResponse } from "@/lib/cached-responses"
|
||||
import { formatMessage } from "@/lib/i18n/utils"
|
||||
import { isPdfFile, isTextFile } from "@/lib/pdf-utils"
|
||||
import { type FileData, useFileProcessor } from "@/lib/use-file-processor"
|
||||
import { useQuotaManager } from "@/lib/use-quota-manager"
|
||||
@@ -154,7 +147,6 @@ export default function ChatPanel({
|
||||
// File processing using extracted hook
|
||||
const { files, pdfData, handleFileChange, setFiles } = useFileProcessor()
|
||||
|
||||
const [showHistory, setShowHistory] = useState(false)
|
||||
const [showSettingsDialog, setShowSettingsDialog] = useState(false)
|
||||
const [showModelConfigDialog, setShowModelConfigDialog] = useState(false)
|
||||
|
||||
@@ -192,6 +184,7 @@ export default function ChatPanel({
|
||||
dailyRequestLimit,
|
||||
dailyTokenLimit,
|
||||
tpmLimit,
|
||||
onConfigModel: () => setShowModelConfigDialog(true),
|
||||
})
|
||||
|
||||
// Generate a unique session ID for Langfuse tracing (restore from localStorage if available)
|
||||
@@ -247,182 +240,185 @@ export default function ChatPanel({
|
||||
onExport,
|
||||
})
|
||||
|
||||
const {
|
||||
messages,
|
||||
sendMessage,
|
||||
addToolOutput,
|
||||
stop,
|
||||
status,
|
||||
error,
|
||||
setMessages,
|
||||
} = useChat({
|
||||
transport: new DefaultChatTransport({
|
||||
api: getApiEndpoint("/api/chat"),
|
||||
}),
|
||||
onToolCall: async ({ toolCall }) => {
|
||||
await handleToolCall({ toolCall }, addToolOutput)
|
||||
},
|
||||
onError: (error) => {
|
||||
// Handle server-side quota limit (429 response)
|
||||
// AI SDK puts the full response body in error.message for non-OK responses
|
||||
try {
|
||||
const data = JSON.parse(error.message)
|
||||
if (data.type === "request") {
|
||||
quotaManager.showQuotaLimitToast(data.used, data.limit)
|
||||
return
|
||||
}
|
||||
if (data.type === "token") {
|
||||
quotaManager.showTokenLimitToast(data.used, data.limit)
|
||||
return
|
||||
}
|
||||
if (data.type === "tpm") {
|
||||
quotaManager.showTPMLimitToast(data.limit)
|
||||
return
|
||||
}
|
||||
} catch {
|
||||
// Not JSON, fall through to string matching for backwards compatibility
|
||||
}
|
||||
|
||||
// Fallback to string matching
|
||||
if (error.message.includes("Daily request limit")) {
|
||||
quotaManager.showQuotaLimitToast()
|
||||
return
|
||||
}
|
||||
if (error.message.includes("Daily token limit")) {
|
||||
quotaManager.showTokenLimitToast()
|
||||
return
|
||||
}
|
||||
if (
|
||||
error.message.includes("Rate limit exceeded") ||
|
||||
error.message.includes("tokens per minute")
|
||||
) {
|
||||
quotaManager.showTPMLimitToast()
|
||||
return
|
||||
}
|
||||
|
||||
// Silence access code error in console since it's handled by UI
|
||||
if (!error.message.includes("Invalid or missing access code")) {
|
||||
console.error("Chat error:", error)
|
||||
// Debug: Log messages structure when error occurs
|
||||
console.log("[onError] messages count:", messages.length)
|
||||
messages.forEach((msg, idx) => {
|
||||
console.log(`[onError] Message ${idx}:`, {
|
||||
role: msg.role,
|
||||
partsCount: msg.parts?.length,
|
||||
})
|
||||
if (msg.parts) {
|
||||
msg.parts.forEach((part: any, partIdx: number) => {
|
||||
console.log(
|
||||
`[onError] Part ${partIdx}:`,
|
||||
JSON.stringify({
|
||||
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,
|
||||
}),
|
||||
)
|
||||
})
|
||||
const { messages, sendMessage, addToolOutput, status, error, setMessages } =
|
||||
useChat({
|
||||
transport: new DefaultChatTransport({
|
||||
api: getApiEndpoint("/api/chat"),
|
||||
}),
|
||||
onToolCall: async ({ toolCall }) => {
|
||||
await handleToolCall({ toolCall }, addToolOutput)
|
||||
},
|
||||
onError: (error) => {
|
||||
// Handle server-side quota limit (429 response)
|
||||
// AI SDK puts the full response body in error.message for non-OK responses
|
||||
try {
|
||||
const data = JSON.parse(error.message)
|
||||
if (data.type === "request") {
|
||||
quotaManager.showQuotaLimitToast(data.used, data.limit)
|
||||
return
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
// Translate technical errors into user-friendly messages
|
||||
// The server now handles detailed error messages, so we can display them directly.
|
||||
// But we still handle connection/network errors that happen before reaching the server.
|
||||
let friendlyMessage = error.message
|
||||
|
||||
// Simple check for network errors if message is generic
|
||||
if (friendlyMessage === "Failed to fetch") {
|
||||
friendlyMessage = "Network error. Please check your connection."
|
||||
}
|
||||
|
||||
// Truncated tool input error (model output limit too low)
|
||||
if (friendlyMessage.includes("toolUse.input is invalid")) {
|
||||
friendlyMessage =
|
||||
"Output was truncated before the diagram could be generated. Try a simpler request or increase the maxOutputLength."
|
||||
}
|
||||
|
||||
// Translate image not supported error
|
||||
if (friendlyMessage.includes("image content block")) {
|
||||
friendlyMessage = "This model doesn't support image input."
|
||||
}
|
||||
|
||||
// Add system message for error so it can be cleared
|
||||
setMessages((currentMessages) => {
|
||||
const errorMessage = {
|
||||
id: `error-${Date.now()}`,
|
||||
role: "system" as const,
|
||||
content: friendlyMessage,
|
||||
parts: [{ type: "text" as const, text: friendlyMessage }],
|
||||
if (data.type === "token") {
|
||||
quotaManager.showTokenLimitToast(data.used, data.limit)
|
||||
return
|
||||
}
|
||||
if (data.type === "tpm") {
|
||||
quotaManager.showTPMLimitToast(data.limit)
|
||||
return
|
||||
}
|
||||
} catch {
|
||||
// Not JSON, fall through to string matching for backwards compatibility
|
||||
}
|
||||
return [...currentMessages, errorMessage]
|
||||
})
|
||||
|
||||
if (error.message.includes("Invalid or missing access code")) {
|
||||
// Show settings dialog to help user fix it
|
||||
setShowSettingsDialog(true)
|
||||
}
|
||||
},
|
||||
onFinish: ({ message }) => {
|
||||
// Track actual token usage from server metadata
|
||||
const metadata = message?.metadata as
|
||||
| Record<string, unknown>
|
||||
| undefined
|
||||
|
||||
// DEBUG: Log finish reason to diagnose truncation
|
||||
console.log("[onFinish] finishReason:", metadata?.finishReason)
|
||||
},
|
||||
sendAutomaticallyWhen: ({ messages }) => {
|
||||
const isInContinuationMode = partialXmlRef.current.length > 0
|
||||
|
||||
const shouldRetry = hasToolErrors(
|
||||
messages as unknown as ChatMessage[],
|
||||
)
|
||||
|
||||
if (!shouldRetry) {
|
||||
// No error, reset retry count and clear state
|
||||
autoRetryCountRef.current = 0
|
||||
continuationRetryCountRef.current = 0
|
||||
partialXmlRef.current = ""
|
||||
return false
|
||||
}
|
||||
|
||||
// Continuation mode: limited retries for truncation handling
|
||||
if (isInContinuationMode) {
|
||||
// Fallback to string matching
|
||||
if (error.message.includes("Daily request limit")) {
|
||||
quotaManager.showQuotaLimitToast()
|
||||
return
|
||||
}
|
||||
if (error.message.includes("Daily token limit")) {
|
||||
quotaManager.showTokenLimitToast()
|
||||
return
|
||||
}
|
||||
if (
|
||||
continuationRetryCountRef.current >=
|
||||
MAX_CONTINUATION_RETRY_COUNT
|
||||
error.message.includes("Rate limit exceeded") ||
|
||||
error.message.includes("tokens per minute")
|
||||
) {
|
||||
toast.error(
|
||||
`Continuation retry limit reached (${MAX_CONTINUATION_RETRY_COUNT}). The diagram may be too complex.`,
|
||||
)
|
||||
quotaManager.showTPMLimitToast()
|
||||
return
|
||||
}
|
||||
|
||||
// Silence access code error in console since it's handled by UI
|
||||
if (!error.message.includes("Invalid or missing access code")) {
|
||||
console.error("Chat error:", error)
|
||||
// Debug: Log messages structure when error occurs
|
||||
console.log("[onError] messages count:", messages.length)
|
||||
messages.forEach((msg, idx) => {
|
||||
console.log(`[onError] Message ${idx}:`, {
|
||||
role: msg.role,
|
||||
partsCount: msg.parts?.length,
|
||||
})
|
||||
if (msg.parts) {
|
||||
msg.parts.forEach((part: any, partIdx: number) => {
|
||||
console.log(
|
||||
`[onError] Part ${partIdx}:`,
|
||||
JSON.stringify({
|
||||
type: part.type,
|
||||
toolName: part.toolName,
|
||||
hasInput: !!part.input,
|
||||
inputType: typeof part.input,
|
||||
inputKeys:
|
||||
part.input &&
|
||||
typeof part.input === "object"
|
||||
? Object.keys(part.input)
|
||||
: null,
|
||||
}),
|
||||
)
|
||||
})
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
// Translate technical errors into user-friendly messages
|
||||
// The server now handles detailed error messages, so we can display them directly.
|
||||
// But we still handle connection/network errors that happen before reaching the server.
|
||||
let friendlyMessage = error.message
|
||||
|
||||
// Simple check for network errors if message is generic
|
||||
if (friendlyMessage === "Failed to fetch") {
|
||||
friendlyMessage =
|
||||
"Network error. Please check your connection."
|
||||
}
|
||||
|
||||
// Truncated tool input error (model output limit too low)
|
||||
if (friendlyMessage.includes("toolUse.input is invalid")) {
|
||||
friendlyMessage =
|
||||
"Output was truncated before the diagram could be generated. Try a simpler request or increase the maxOutputLength."
|
||||
}
|
||||
|
||||
// Translate image not supported error
|
||||
if (
|
||||
friendlyMessage.includes("image content block") ||
|
||||
friendlyMessage.toLowerCase().includes("image_url")
|
||||
) {
|
||||
friendlyMessage = "This model doesn't support image input."
|
||||
}
|
||||
|
||||
// Add system message for error so it can be cleared
|
||||
setMessages((currentMessages) => {
|
||||
const errorMessage = {
|
||||
id: `error-${Date.now()}`,
|
||||
role: "system" as const,
|
||||
content: friendlyMessage,
|
||||
parts: [
|
||||
{ type: "text" as const, text: friendlyMessage },
|
||||
],
|
||||
}
|
||||
return [...currentMessages, errorMessage]
|
||||
})
|
||||
|
||||
if (error.message.includes("Invalid or missing access code")) {
|
||||
// Show settings dialog to help user fix it
|
||||
setShowSettingsDialog(true)
|
||||
}
|
||||
},
|
||||
onFinish: ({ message }) => {
|
||||
// Track actual token usage from server metadata
|
||||
const metadata = message?.metadata as
|
||||
| Record<string, unknown>
|
||||
| undefined
|
||||
|
||||
// DEBUG: Log finish reason to diagnose truncation
|
||||
console.log("[onFinish] finishReason:", metadata?.finishReason)
|
||||
},
|
||||
sendAutomaticallyWhen: ({ messages }) => {
|
||||
const isInContinuationMode = partialXmlRef.current.length > 0
|
||||
|
||||
const shouldRetry = hasToolErrors(
|
||||
messages as unknown as ChatMessage[],
|
||||
)
|
||||
|
||||
if (!shouldRetry) {
|
||||
// No error, reset retry count and clear state
|
||||
autoRetryCountRef.current = 0
|
||||
continuationRetryCountRef.current = 0
|
||||
partialXmlRef.current = ""
|
||||
return false
|
||||
}
|
||||
continuationRetryCountRef.current++
|
||||
} else {
|
||||
// Regular error: check retry count limit
|
||||
if (autoRetryCountRef.current >= MAX_AUTO_RETRY_COUNT) {
|
||||
toast.error(
|
||||
`Auto-retry limit reached (${MAX_AUTO_RETRY_COUNT}). Please try again manually.`,
|
||||
)
|
||||
autoRetryCountRef.current = 0
|
||||
partialXmlRef.current = ""
|
||||
return false
|
||||
}
|
||||
// Increment retry count for actual errors
|
||||
autoRetryCountRef.current++
|
||||
}
|
||||
|
||||
return true
|
||||
},
|
||||
})
|
||||
// Continuation mode: limited retries for truncation handling
|
||||
if (isInContinuationMode) {
|
||||
if (
|
||||
continuationRetryCountRef.current >=
|
||||
MAX_CONTINUATION_RETRY_COUNT
|
||||
) {
|
||||
toast.error(
|
||||
formatMessage(dict.errors.continuationRetryLimit, {
|
||||
max: MAX_CONTINUATION_RETRY_COUNT,
|
||||
}),
|
||||
)
|
||||
continuationRetryCountRef.current = 0
|
||||
partialXmlRef.current = ""
|
||||
return false
|
||||
}
|
||||
continuationRetryCountRef.current++
|
||||
} else {
|
||||
// Regular error: check retry count limit
|
||||
if (autoRetryCountRef.current >= MAX_AUTO_RETRY_COUNT) {
|
||||
toast.error(
|
||||
formatMessage(dict.errors.retryLimit, {
|
||||
max: MAX_AUTO_RETRY_COUNT,
|
||||
}),
|
||||
)
|
||||
autoRetryCountRef.current = 0
|
||||
partialXmlRef.current = ""
|
||||
return false
|
||||
}
|
||||
// Increment retry count for actual errors
|
||||
autoRetryCountRef.current++
|
||||
}
|
||||
|
||||
return true
|
||||
},
|
||||
})
|
||||
|
||||
// Ref to track latest messages for unload persistence
|
||||
const messagesRef = useRef(messages)
|
||||
@@ -460,7 +456,7 @@ export default function ChatPanel({
|
||||
// On complete failure, clear storage to allow recovery
|
||||
localStorage.removeItem(STORAGE_MESSAGES_KEY)
|
||||
localStorage.removeItem(STORAGE_XML_SNAPSHOTS_KEY)
|
||||
toast.error("Session data was corrupted. Starting fresh.")
|
||||
toast.error(dict.errors.sessionCorrupted)
|
||||
}
|
||||
}, [setMessages])
|
||||
|
||||
@@ -661,12 +657,10 @@ export default function ChatPanel({
|
||||
localStorage.removeItem(STORAGE_DIAGRAM_XML_KEY)
|
||||
localStorage.setItem(STORAGE_SESSION_ID_KEY, newSessionId)
|
||||
sessionStorage.removeItem(SESSION_STORAGE_INPUT_KEY)
|
||||
toast.success("Started a fresh chat")
|
||||
toast.success(dict.dialogs.clearSuccess)
|
||||
} catch (error) {
|
||||
console.error("Failed to clear localStorage:", error)
|
||||
toast.warning(
|
||||
"Chat cleared but browser storage could not be updated",
|
||||
)
|
||||
toast.warning(dict.errors.storageUpdateFailed)
|
||||
}
|
||||
|
||||
setShowNewChatDialog(false)
|
||||
@@ -899,7 +893,7 @@ export default function ChatPanel({
|
||||
return (
|
||||
<div className="h-full flex flex-col items-center pt-4 bg-card border border-border/30 rounded-xl">
|
||||
<ButtonWithTooltip
|
||||
tooltipContent="Show chat panel (Ctrl+B)"
|
||||
tooltipContent={dict.nav.showPanel}
|
||||
variant="ghost"
|
||||
size="icon"
|
||||
onClick={onToggleVisibility}
|
||||
@@ -911,10 +905,9 @@ export default function ChatPanel({
|
||||
className="text-sm font-medium text-muted-foreground mt-8 tracking-wide"
|
||||
style={{
|
||||
writingMode: "vertical-rl",
|
||||
transform: "rotate(180deg)",
|
||||
}}
|
||||
>
|
||||
AI Chat
|
||||
{dict.nav.aiChat}
|
||||
</div>
|
||||
</div>
|
||||
)
|
||||
@@ -959,18 +952,6 @@ export default function ChatPanel({
|
||||
Next AI Drawio
|
||||
</h1>
|
||||
</div>
|
||||
{!isMobile &&
|
||||
process.env.NEXT_PUBLIC_SHOW_ABOUT_AND_NOTICE ===
|
||||
"true" && (
|
||||
<Link
|
||||
href="/about"
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="text-sm text-muted-foreground hover:text-foreground transition-colors ml-2"
|
||||
>
|
||||
About
|
||||
</Link>
|
||||
)}
|
||||
</div>
|
||||
<div className="flex items-center gap-1 justify-end overflow-visible">
|
||||
<ButtonWithTooltip
|
||||
@@ -984,23 +965,6 @@ export default function ChatPanel({
|
||||
className={`${isMobile ? "h-4 w-4" : "h-5 w-5"} text-muted-foreground`}
|
||||
/>
|
||||
</ButtonWithTooltip>
|
||||
<div className="w-px h-5 bg-border mx-1" />
|
||||
|
||||
<Tooltip>
|
||||
<TooltipTrigger asChild>
|
||||
<a
|
||||
href="https://github.com/DayuanJiang/next-ai-draw-io"
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="inline-flex items-center justify-center h-9 w-9 rounded-md text-muted-foreground hover:text-foreground hover:bg-accent transition-colors"
|
||||
>
|
||||
<FaGithub
|
||||
className={`${isMobile ? "w-4 h-4" : "w-5 h-5"}`}
|
||||
/>
|
||||
</a>
|
||||
</TooltipTrigger>
|
||||
<TooltipContent>{dict.nav.github}</TooltipContent>
|
||||
</Tooltip>
|
||||
|
||||
<ButtonWithTooltip
|
||||
tooltipContent={dict.nav.settings}
|
||||
@@ -1050,6 +1014,9 @@ export default function ChatPanel({
|
||||
<DevXmlSimulator
|
||||
setMessages={setMessages}
|
||||
onDisplayChart={onDisplayChart}
|
||||
onShowQuotaToast={() =>
|
||||
quotaManager.showQuotaLimitToast(50, 50)
|
||||
}
|
||||
/>
|
||||
)}
|
||||
|
||||
@@ -1066,12 +1033,8 @@ export default function ChatPanel({
|
||||
files={files}
|
||||
onFileChange={handleFileChange}
|
||||
pdfData={pdfData}
|
||||
showHistory={showHistory}
|
||||
onToggleHistory={setShowHistory}
|
||||
sessionId={sessionId}
|
||||
error={error}
|
||||
minimalStyle={minimalStyle}
|
||||
onMinimalStyleChange={setMinimalStyle}
|
||||
models={modelConfig.models}
|
||||
selectedModelId={modelConfig.selectedModelId}
|
||||
onModelSelect={modelConfig.setSelectedModelId}
|
||||
@@ -1088,6 +1051,8 @@ export default function ChatPanel({
|
||||
onToggleDrawioUi={onToggleDrawioUi}
|
||||
darkMode={darkMode}
|
||||
onToggleDarkMode={onToggleDarkMode}
|
||||
minimalStyle={minimalStyle}
|
||||
onMinimalStyleChange={setMinimalStyle}
|
||||
/>
|
||||
|
||||
<ModelConfigDialog
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
"use client"
|
||||
|
||||
import { useEffect, useRef, useState } from "react"
|
||||
import { useDictionary } from "@/hooks/use-dictionary"
|
||||
import { wrapWithMxFile } from "@/lib/utils"
|
||||
|
||||
// Dev XML presets for streaming simulator
|
||||
@@ -134,12 +135,15 @@ const DEV_XML_PRESETS: Record<string, string> = {
|
||||
interface DevXmlSimulatorProps {
|
||||
setMessages: React.Dispatch<React.SetStateAction<any[]>>
|
||||
onDisplayChart: (xml: string) => void
|
||||
onShowQuotaToast?: () => void
|
||||
}
|
||||
|
||||
export function DevXmlSimulator({
|
||||
setMessages,
|
||||
onDisplayChart,
|
||||
onShowQuotaToast,
|
||||
}: DevXmlSimulatorProps) {
|
||||
const dict = useDictionary()
|
||||
const [devXml, setDevXml] = useState("")
|
||||
const [isSimulating, setIsSimulating] = useState(false)
|
||||
const [devIntervalMs, setDevIntervalMs] = useState(1)
|
||||
@@ -176,7 +180,7 @@ export function DevXmlSimulator({
|
||||
parts: [
|
||||
{
|
||||
type: "text" as const,
|
||||
text: "[Dev] Simulating XML streaming",
|
||||
text: dict.dev.simulatingMessage,
|
||||
},
|
||||
],
|
||||
}
|
||||
@@ -226,7 +230,7 @@ export function DevXmlSimulator({
|
||||
const lastMsg = updated[updated.length - 1] as any
|
||||
if (lastMsg?.role === "assistant" && lastMsg.parts?.[0]) {
|
||||
lastMsg.parts[0].state = "output-available"
|
||||
lastMsg.parts[0].output = "Successfully displayed the diagram."
|
||||
lastMsg.parts[0].output = dict.dev.successMessage
|
||||
lastMsg.parts[0].input = { xml }
|
||||
}
|
||||
return updated
|
||||
@@ -243,12 +247,12 @@ export function DevXmlSimulator({
|
||||
<div className="border-t border-dashed border-orange-500/50 px-4 py-2 bg-orange-50/50 dark:bg-orange-950/30">
|
||||
<details>
|
||||
<summary className="text-xs text-orange-600 dark:text-orange-400 cursor-pointer font-medium">
|
||||
Dev: XML Streaming Simulator
|
||||
{dict.dev.title}
|
||||
</summary>
|
||||
<div className="mt-2 space-y-2">
|
||||
<div className="flex items-center gap-2">
|
||||
<label className="text-xs text-muted-foreground whitespace-nowrap">
|
||||
Preset:
|
||||
{dict.dev.preset}
|
||||
</label>
|
||||
<select
|
||||
onChange={(e) => {
|
||||
@@ -260,7 +264,7 @@ export function DevXmlSimulator({
|
||||
defaultValue=""
|
||||
>
|
||||
<option value="" disabled>
|
||||
Select a preset...
|
||||
{dict.dev.selectPreset}
|
||||
</option>
|
||||
{Object.keys(DEV_XML_PRESETS).map((name) => (
|
||||
<option key={name} value={name}>
|
||||
@@ -273,19 +277,19 @@ export function DevXmlSimulator({
|
||||
onClick={() => setDevXml("")}
|
||||
className="px-2 py-1 text-xs text-muted-foreground hover:text-foreground border rounded"
|
||||
>
|
||||
Clear
|
||||
{dict.dev.clear}
|
||||
</button>
|
||||
</div>
|
||||
<textarea
|
||||
value={devXml}
|
||||
onChange={(e) => setDevXml(e.target.value)}
|
||||
placeholder="Paste mxCell XML here or select a preset..."
|
||||
placeholder={dict.dev.placeholder}
|
||||
className="w-full h-24 text-xs font-mono p-2 border rounded bg-background"
|
||||
/>
|
||||
<div className="flex items-center gap-4">
|
||||
<div className="flex items-center gap-2 flex-1">
|
||||
<label className="text-xs text-muted-foreground whitespace-nowrap">
|
||||
Interval:
|
||||
{dict.dev.interval}
|
||||
</label>
|
||||
<input
|
||||
type="range"
|
||||
@@ -304,7 +308,7 @@ export function DevXmlSimulator({
|
||||
</div>
|
||||
<div className="flex items-center gap-2">
|
||||
<label className="text-xs text-muted-foreground whitespace-nowrap">
|
||||
Chars:
|
||||
{dict.dev.chars}
|
||||
</label>
|
||||
<input
|
||||
type="number"
|
||||
@@ -328,8 +332,8 @@ export function DevXmlSimulator({
|
||||
className="px-3 py-1 text-xs bg-orange-500 text-white rounded hover:bg-orange-600 disabled:opacity-50 disabled:cursor-not-allowed"
|
||||
>
|
||||
{isSimulating
|
||||
? "Streaming..."
|
||||
: `Simulate (${devChunkSize} chars/${devIntervalMs}ms)`}
|
||||
? dict.dev.streaming
|
||||
: `${dict.dev.simulate} (${devChunkSize} chars/${devIntervalMs}ms)`}
|
||||
</button>
|
||||
{isSimulating && (
|
||||
<button
|
||||
@@ -339,7 +343,16 @@ export function DevXmlSimulator({
|
||||
}}
|
||||
className="px-3 py-1 text-xs bg-red-500 text-white rounded hover:bg-red-600"
|
||||
>
|
||||
Stop
|
||||
{dict.dev.stop}
|
||||
</button>
|
||||
)}
|
||||
{onShowQuotaToast && (
|
||||
<button
|
||||
type="button"
|
||||
onClick={onShowQuotaToast}
|
||||
className="px-3 py-1 text-xs bg-purple-500 text-white rounded hover:bg-purple-600"
|
||||
>
|
||||
{dict.dev.testQuotaToast}
|
||||
</button>
|
||||
)}
|
||||
</div>
|
||||
|
||||
@@ -76,7 +76,10 @@ const PROVIDER_LOGO_MAP: Record<string, string> = {
|
||||
openrouter: "openrouter",
|
||||
deepseek: "deepseek",
|
||||
siliconflow: "siliconflow",
|
||||
sglang: "openai", // SGLang is OpenAI-compatible
|
||||
gateway: "vercel",
|
||||
edgeone: "tencent-cloud",
|
||||
doubao: "bytedance",
|
||||
}
|
||||
|
||||
// Provider logo component
|
||||
@@ -87,10 +90,16 @@ function ProviderLogo({
|
||||
provider: ProviderName
|
||||
className?: string
|
||||
}) {
|
||||
// Use Lucide icon for bedrock since models.dev doesn't have a good AWS icon
|
||||
// Use Lucide icons for providers without models.dev logos
|
||||
if (provider === "bedrock") {
|
||||
return <Cloud className={cn("size-4", className)} />
|
||||
}
|
||||
if (provider === "sglang") {
|
||||
return <Server className={cn("size-4", className)} />
|
||||
}
|
||||
if (provider === "doubao") {
|
||||
return <Sparkles className={cn("size-4", className)} />
|
||||
}
|
||||
|
||||
const logoName = PROVIDER_LOGO_MAP[provider] || provider
|
||||
return (
|
||||
@@ -269,6 +278,7 @@ export function ModelConfigDialog({
|
||||
|
||||
// Check credentials based on provider type
|
||||
const isBedrock = selectedProvider.provider === "bedrock"
|
||||
const isEdgeOne = selectedProvider.provider === "edgeone"
|
||||
if (isBedrock) {
|
||||
if (
|
||||
!selectedProvider.awsAccessKeyId ||
|
||||
@@ -277,7 +287,7 @@ export function ModelConfigDialog({
|
||||
) {
|
||||
return
|
||||
}
|
||||
} else if (!selectedProvider.apiKey) {
|
||||
} else if (!isEdgeOne && !selectedProvider.apiKey) {
|
||||
return
|
||||
}
|
||||
|
||||
@@ -300,13 +310,18 @@ export function ModelConfigDialog({
|
||||
setValidatingModelIndex(i)
|
||||
|
||||
try {
|
||||
// For EdgeOne, construct baseUrl from current origin
|
||||
const baseUrl = isEdgeOne
|
||||
? `${window.location.origin}/api/edgeai`
|
||||
: selectedProvider.baseUrl
|
||||
|
||||
const response = await fetch("/api/validate-model", {
|
||||
method: "POST",
|
||||
headers: { "Content-Type": "application/json" },
|
||||
body: JSON.stringify({
|
||||
provider: selectedProvider.provider,
|
||||
apiKey: selectedProvider.apiKey,
|
||||
baseUrl: selectedProvider.baseUrl,
|
||||
baseUrl,
|
||||
modelId: model.modelId,
|
||||
// AWS Bedrock credentials
|
||||
awsAccessKeyId: selectedProvider.awsAccessKeyId,
|
||||
@@ -314,7 +329,6 @@ export function ModelConfigDialog({
|
||||
awsRegion: selectedProvider.awsRegion,
|
||||
}),
|
||||
})
|
||||
|
||||
const data = await response.json()
|
||||
|
||||
if (data.valid) {
|
||||
@@ -868,6 +882,63 @@ export function ModelConfigDialog({
|
||||
)}
|
||||
</div>
|
||||
</>
|
||||
) : selectedProvider.provider ===
|
||||
"edgeone" ? (
|
||||
<div className="space-y-3">
|
||||
<div className="flex items-center gap-2">
|
||||
<Button
|
||||
variant={
|
||||
validationStatus ===
|
||||
"success"
|
||||
? "outline"
|
||||
: "default"
|
||||
}
|
||||
size="sm"
|
||||
onClick={
|
||||
handleValidate
|
||||
}
|
||||
disabled={
|
||||
validationStatus ===
|
||||
"validating"
|
||||
}
|
||||
className={cn(
|
||||
"h-9 px-4",
|
||||
validationStatus ===
|
||||
"success" &&
|
||||
"text-success border-success/30 bg-success-muted hover:bg-success-muted",
|
||||
)}
|
||||
>
|
||||
{validationStatus ===
|
||||
"validating" ? (
|
||||
<Loader2 className="h-4 w-4 animate-spin" />
|
||||
) : validationStatus ===
|
||||
"success" ? (
|
||||
<>
|
||||
<Check className="h-4 w-4 mr-1.5" />
|
||||
{
|
||||
dict
|
||||
.modelConfig
|
||||
.verified
|
||||
}
|
||||
</>
|
||||
) : (
|
||||
dict
|
||||
.modelConfig
|
||||
.test
|
||||
)}
|
||||
</Button>
|
||||
{validationStatus ===
|
||||
"error" &&
|
||||
validationError && (
|
||||
<p className="text-xs text-destructive flex items-center gap-1">
|
||||
<X className="h-3 w-3" />
|
||||
{
|
||||
validationError
|
||||
}
|
||||
</p>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
) : (
|
||||
<>
|
||||
{/* API Key */}
|
||||
|
||||
@@ -8,7 +8,7 @@ import {
|
||||
Server,
|
||||
Settings2,
|
||||
} from "lucide-react"
|
||||
import { useMemo, useState } from "react"
|
||||
import { useEffect, useMemo, useRef, useState } from "react"
|
||||
import {
|
||||
ModelSelectorContent,
|
||||
ModelSelectorEmpty,
|
||||
@@ -46,7 +46,10 @@ const PROVIDER_LOGO_MAP: Record<string, string> = {
|
||||
openrouter: "openrouter",
|
||||
deepseek: "deepseek",
|
||||
siliconflow: "siliconflow",
|
||||
sglang: "openai", // SGLang is OpenAI-compatible, use OpenAI logo
|
||||
gateway: "vercel",
|
||||
edgeone: "tencent-cloud",
|
||||
doubao: "bytedance",
|
||||
}
|
||||
|
||||
// Group models by providerLabel (handles duplicate providers)
|
||||
@@ -112,134 +115,189 @@ export function ModelSelector({
|
||||
? `${selectedModel.modelId} ${dict.modelConfig.clickToChange}`
|
||||
: `${dict.modelConfig.usingServerDefault} ${dict.modelConfig.clickToChange}`
|
||||
|
||||
const wrapperRef = useRef<HTMLDivElement | null>(null)
|
||||
const [showLabel, setShowLabel] = useState(true)
|
||||
|
||||
// Threshold (px) under which we hide the label (tweak as needed)
|
||||
const HIDE_THRESHOLD = 240
|
||||
const SHOW_THRESHOLD = 260
|
||||
useEffect(() => {
|
||||
const el = wrapperRef.current
|
||||
if (!el) return
|
||||
|
||||
const target = el.parentElement ?? el
|
||||
|
||||
const ro = new ResizeObserver((entries) => {
|
||||
for (const entry of entries) {
|
||||
const width = entry.contentRect.width
|
||||
setShowLabel((prev) => {
|
||||
// if currently showing and width dropped below hide threshold -> hide
|
||||
if (prev && width <= HIDE_THRESHOLD) return false
|
||||
// if currently hidden and width rose above show threshold -> show
|
||||
if (!prev && width >= SHOW_THRESHOLD) return true
|
||||
// otherwise keep previous state (hysteresis)
|
||||
return prev
|
||||
})
|
||||
}
|
||||
})
|
||||
|
||||
ro.observe(target)
|
||||
|
||||
const initialWidth = target.getBoundingClientRect().width
|
||||
setShowLabel(initialWidth >= SHOW_THRESHOLD)
|
||||
|
||||
return () => ro.disconnect()
|
||||
}, [])
|
||||
|
||||
return (
|
||||
<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
|
||||
: dict.modelConfig.default}
|
||||
</span>
|
||||
<ChevronDown className="h-3 w-3 flex-shrink-0 text-muted-foreground" />
|
||||
</ButtonWithTooltip>
|
||||
</ModelSelectorTrigger>
|
||||
<ModelSelectorContent title={dict.modelConfig.selectModel}>
|
||||
<ModelSelectorInput
|
||||
placeholder={dict.modelConfig.searchModels}
|
||||
/>
|
||||
<ModelSelectorList className="[&::-webkit-scrollbar]:hidden [-ms-overflow-style:none] [scrollbar-width:none]">
|
||||
<ModelSelectorEmpty>
|
||||
{displayModels.length === 0 && models.length > 0
|
||||
? dict.modelConfig.noVerifiedModels
|
||||
: dict.modelConfig.noModelsFound}
|
||||
</ModelSelectorEmpty>
|
||||
<div ref={wrapperRef} className="inline-block">
|
||||
<ModelSelectorRoot open={open} onOpenChange={setOpen}>
|
||||
<ModelSelectorTrigger asChild>
|
||||
<ButtonWithTooltip
|
||||
tooltipContent={tooltipContent}
|
||||
variant="ghost"
|
||||
size="sm"
|
||||
disabled={disabled}
|
||||
className={cn(
|
||||
"hover:bg-accent gap-1.5 h-8 px-2 transition-all duration-150 ease-in-out",
|
||||
!showLabel && "px-1.5 justify-center",
|
||||
)}
|
||||
// accessibility: expose label to screen readers
|
||||
aria-label={tooltipContent}
|
||||
>
|
||||
<Bot className="h-4 w-4 flex-shrink-0 text-muted-foreground" />
|
||||
{/* show/hide visible label based on measured width */}
|
||||
{showLabel ? (
|
||||
<span className="text-xs truncate">
|
||||
{selectedModel
|
||||
? selectedModel.modelId
|
||||
: dict.modelConfig.default}
|
||||
</span>
|
||||
) : (
|
||||
// Keep an sr-only label for screen readers when hidden
|
||||
<span className="sr-only">
|
||||
{selectedModel
|
||||
? selectedModel.modelId
|
||||
: dict.modelConfig.default}
|
||||
</span>
|
||||
)}
|
||||
<ChevronDown className="h-3 w-3 flex-shrink-0 text-muted-foreground" />
|
||||
</ButtonWithTooltip>
|
||||
</ModelSelectorTrigger>
|
||||
|
||||
{/* Server Default Option */}
|
||||
<ModelSelectorGroup heading={dict.modelConfig.default}>
|
||||
<ModelSelectorItem
|
||||
value="__server_default__"
|
||||
onSelect={handleSelect}
|
||||
className={cn(
|
||||
"cursor-pointer",
|
||||
!selectedModelId && "bg-accent",
|
||||
)}
|
||||
>
|
||||
<Check
|
||||
<ModelSelectorContent title={dict.modelConfig.selectModel}>
|
||||
<ModelSelectorInput
|
||||
placeholder={dict.modelConfig.searchModels}
|
||||
/>
|
||||
<ModelSelectorList className="[&::-webkit-scrollbar]:hidden [-ms-overflow-style:none] [scrollbar-width:none]">
|
||||
<ModelSelectorEmpty>
|
||||
{displayModels.length === 0 && models.length > 0
|
||||
? dict.modelConfig.noVerifiedModels
|
||||
: dict.modelConfig.noModelsFound}
|
||||
</ModelSelectorEmpty>
|
||||
|
||||
{/* Server Default Option */}
|
||||
<ModelSelectorGroup heading={dict.modelConfig.default}>
|
||||
<ModelSelectorItem
|
||||
value="__server_default__"
|
||||
onSelect={handleSelect}
|
||||
className={cn(
|
||||
"mr-2 h-4 w-4",
|
||||
!selectedModelId
|
||||
? "opacity-100"
|
||||
: "opacity-0",
|
||||
"cursor-pointer",
|
||||
!selectedModelId && "bg-accent",
|
||||
)}
|
||||
/>
|
||||
<Server className="mr-2 h-4 w-4 text-muted-foreground" />
|
||||
<ModelSelectorName>
|
||||
{dict.modelConfig.serverDefault}
|
||||
</ModelSelectorName>
|
||||
</ModelSelectorItem>
|
||||
</ModelSelectorGroup>
|
||||
|
||||
{/* Configured Models by Provider */}
|
||||
{Array.from(groupedModels.entries()).map(
|
||||
([
|
||||
providerLabel,
|
||||
{ provider, models: providerModels },
|
||||
]) => (
|
||||
<ModelSelectorGroup
|
||||
key={providerLabel}
|
||||
heading={providerLabel}
|
||||
>
|
||||
{providerModels.map((model) => (
|
||||
<ModelSelectorItem
|
||||
key={model.id}
|
||||
value={model.modelId}
|
||||
onSelect={() => handleSelect(model.id)}
|
||||
className="cursor-pointer"
|
||||
>
|
||||
<Check
|
||||
className={cn(
|
||||
"mr-2 h-4 w-4",
|
||||
selectedModelId === model.id
|
||||
? "opacity-100"
|
||||
: "opacity-0",
|
||||
)}
|
||||
/>
|
||||
<ModelSelectorLogo
|
||||
provider={
|
||||
PROVIDER_LOGO_MAP[provider] ||
|
||||
provider
|
||||
}
|
||||
className="mr-2"
|
||||
/>
|
||||
<ModelSelectorName>
|
||||
{model.modelId}
|
||||
</ModelSelectorName>
|
||||
{model.validated !== true && (
|
||||
<span
|
||||
title={
|
||||
dict.modelConfig
|
||||
.unvalidatedModelWarning
|
||||
}
|
||||
>
|
||||
<AlertTriangle className="ml-auto h-3 w-3 text-warning" />
|
||||
</span>
|
||||
)}
|
||||
</ModelSelectorItem>
|
||||
))}
|
||||
</ModelSelectorGroup>
|
||||
),
|
||||
)}
|
||||
<Check
|
||||
className={cn(
|
||||
"mr-2 h-4 w-4",
|
||||
!selectedModelId
|
||||
? "opacity-100"
|
||||
: "opacity-0",
|
||||
)}
|
||||
/>
|
||||
<Server className="mr-2 h-4 w-4 text-muted-foreground" />
|
||||
<ModelSelectorName>
|
||||
{dict.modelConfig.serverDefault}
|
||||
</ModelSelectorName>
|
||||
</ModelSelectorItem>
|
||||
</ModelSelectorGroup>
|
||||
|
||||
{/* Configure Option */}
|
||||
<ModelSelectorSeparator />
|
||||
<ModelSelectorGroup>
|
||||
<ModelSelectorItem
|
||||
value="__configure__"
|
||||
onSelect={handleSelect}
|
||||
className="cursor-pointer"
|
||||
>
|
||||
<Settings2 className="mr-2 h-4 w-4" />
|
||||
<ModelSelectorName>
|
||||
{dict.modelConfig.configureModels}
|
||||
</ModelSelectorName>
|
||||
</ModelSelectorItem>
|
||||
</ModelSelectorGroup>
|
||||
{/* Info text */}
|
||||
<div className="px-3 py-2 text-xs text-muted-foreground border-t">
|
||||
{showUnvalidatedModels
|
||||
? dict.modelConfig.allModelsShown
|
||||
: dict.modelConfig.onlyVerifiedShown}
|
||||
</div>
|
||||
</ModelSelectorList>
|
||||
</ModelSelectorContent>
|
||||
</ModelSelectorRoot>
|
||||
{/* Configured Models by Provider */}
|
||||
{Array.from(groupedModels.entries()).map(
|
||||
([
|
||||
providerLabel,
|
||||
{ provider, models: providerModels },
|
||||
]) => (
|
||||
<ModelSelectorGroup
|
||||
key={providerLabel}
|
||||
heading={providerLabel}
|
||||
>
|
||||
{providerModels.map((model) => (
|
||||
<ModelSelectorItem
|
||||
key={model.id}
|
||||
value={model.modelId}
|
||||
onSelect={() =>
|
||||
handleSelect(model.id)
|
||||
}
|
||||
className="cursor-pointer"
|
||||
>
|
||||
<Check
|
||||
className={cn(
|
||||
"mr-2 h-4 w-4",
|
||||
selectedModelId === model.id
|
||||
? "opacity-100"
|
||||
: "opacity-0",
|
||||
)}
|
||||
/>
|
||||
<ModelSelectorLogo
|
||||
provider={
|
||||
PROVIDER_LOGO_MAP[
|
||||
provider
|
||||
] || provider
|
||||
}
|
||||
className="mr-2"
|
||||
/>
|
||||
<ModelSelectorName>
|
||||
{model.modelId}
|
||||
</ModelSelectorName>
|
||||
{model.validated !== true && (
|
||||
<span
|
||||
title={
|
||||
dict.modelConfig
|
||||
.unvalidatedModelWarning
|
||||
}
|
||||
>
|
||||
<AlertTriangle className="ml-auto h-3 w-3 text-warning" />
|
||||
</span>
|
||||
)}
|
||||
</ModelSelectorItem>
|
||||
))}
|
||||
</ModelSelectorGroup>
|
||||
),
|
||||
)}
|
||||
|
||||
{/* Configure Option */}
|
||||
<ModelSelectorSeparator />
|
||||
<ModelSelectorGroup>
|
||||
<ModelSelectorItem
|
||||
value="__configure__"
|
||||
onSelect={handleSelect}
|
||||
className="cursor-pointer"
|
||||
>
|
||||
<Settings2 className="mr-2 h-4 w-4" />
|
||||
<ModelSelectorName>
|
||||
{dict.modelConfig.configureModels}
|
||||
</ModelSelectorName>
|
||||
</ModelSelectorItem>
|
||||
</ModelSelectorGroup>
|
||||
{/* Info text */}
|
||||
<div className="px-3 py-2 text-xs text-muted-foreground border-t">
|
||||
{showUnvalidatedModels
|
||||
? dict.modelConfig.allModelsShown
|
||||
: dict.modelConfig.onlyVerifiedShown}
|
||||
</div>
|
||||
</ModelSelectorList>
|
||||
</ModelSelectorContent>
|
||||
</ModelSelectorRoot>
|
||||
</div>
|
||||
)
|
||||
}
|
||||
|
||||
@@ -1,7 +1,6 @@
|
||||
"use client"
|
||||
|
||||
import { Coffee, X } from "lucide-react"
|
||||
import Link from "next/link"
|
||||
import { Coffee, Settings, X } from "lucide-react"
|
||||
import type React from "react"
|
||||
import { FaGithub } from "react-icons/fa"
|
||||
import { useDictionary } from "@/hooks/use-dictionary"
|
||||
@@ -12,6 +11,7 @@ interface QuotaLimitToastProps {
|
||||
used: number
|
||||
limit: number
|
||||
onDismiss: () => void
|
||||
onConfigModel?: () => void
|
||||
}
|
||||
|
||||
export function QuotaLimitToast({
|
||||
@@ -19,6 +19,7 @@ export function QuotaLimitToast({
|
||||
used,
|
||||
limit,
|
||||
onDismiss,
|
||||
onConfigModel,
|
||||
}: QuotaLimitToastProps) {
|
||||
const dict = useDictionary()
|
||||
const isTokenLimit = type === "token"
|
||||
@@ -75,16 +76,36 @@ export function QuotaLimitToast({
|
||||
? dict.quota.messageToken
|
||||
: dict.quota.messageApi}
|
||||
</p>
|
||||
<p
|
||||
dangerouslySetInnerHTML={{
|
||||
__html: formatMessage(dict.quota.doubaoSponsorship, {
|
||||
link: "https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project",
|
||||
}),
|
||||
}}
|
||||
/>
|
||||
<p dangerouslySetInnerHTML={{ __html: dict.quota.tip }} />
|
||||
<p>{dict.quota.reset}</p>
|
||||
</div>{" "}
|
||||
{/* Action buttons */}
|
||||
<div className="flex items-center gap-2">
|
||||
{onConfigModel && (
|
||||
<button
|
||||
type="button"
|
||||
onClick={() => {
|
||||
onConfigModel()
|
||||
onDismiss()
|
||||
}}
|
||||
className="inline-flex items-center gap-1.5 px-3 py-1.5 text-xs font-medium rounded-lg bg-primary text-primary-foreground hover:bg-primary/90 transition-colors"
|
||||
>
|
||||
<Settings className="w-3.5 h-3.5" />
|
||||
{dict.quota.configModel}
|
||||
</button>
|
||||
)}
|
||||
<a
|
||||
href="https://github.com/DayuanJiang/next-ai-draw-io"
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="inline-flex items-center gap-1.5 px-3 py-1.5 text-xs font-medium rounded-lg bg-primary text-primary-foreground hover:bg-primary/90 transition-colors"
|
||||
className="inline-flex items-center gap-1.5 px-3 py-1.5 text-xs font-medium rounded-lg border border-border text-foreground hover:bg-muted transition-colors"
|
||||
>
|
||||
<FaGithub className="w-3.5 h-3.5" />
|
||||
{dict.quota.selfHost}
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
"use client"
|
||||
|
||||
import { Moon, Sun } from "lucide-react"
|
||||
import { Github, Info, Moon, Sun, Tag } from "lucide-react"
|
||||
import { usePathname, useRouter, useSearchParams } from "next/navigation"
|
||||
import { Suspense, useEffect, useState } from "react"
|
||||
import { Button } from "@/components/ui/button"
|
||||
@@ -24,7 +24,6 @@ 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"
|
||||
import { cn } from "@/lib/utils"
|
||||
|
||||
// Reusable setting item component for consistent layout
|
||||
function SettingItem({
|
||||
@@ -65,6 +64,8 @@ interface SettingsDialogProps {
|
||||
onToggleDrawioUi: () => void
|
||||
darkMode: boolean
|
||||
onToggleDarkMode: () => void
|
||||
minimalStyle?: boolean
|
||||
onMinimalStyleChange?: (value: boolean) => void
|
||||
}
|
||||
|
||||
export const STORAGE_ACCESS_CODE_KEY = "next-ai-draw-io-access-code"
|
||||
@@ -86,6 +87,8 @@ function SettingsContent({
|
||||
onToggleDrawioUi,
|
||||
darkMode,
|
||||
onToggleDarkMode,
|
||||
minimalStyle = false,
|
||||
onMinimalStyleChange = () => {},
|
||||
}: SettingsDialogProps) {
|
||||
const dict = useDictionary()
|
||||
const router = useRouter()
|
||||
@@ -348,14 +351,61 @@ function SettingsContent({
|
||||
}}
|
||||
/>
|
||||
</SettingItem>
|
||||
|
||||
{/* Diagram Style */}
|
||||
<SettingItem
|
||||
label={dict.settings.diagramStyle}
|
||||
description={dict.settings.diagramStyleDescription}
|
||||
>
|
||||
<div className="flex items-center gap-2">
|
||||
<Switch
|
||||
id="minimal-style"
|
||||
checked={minimalStyle}
|
||||
onCheckedChange={onMinimalStyleChange}
|
||||
/>
|
||||
<span className="text-sm text-muted-foreground">
|
||||
{minimalStyle
|
||||
? dict.chat.minimalStyle
|
||||
: dict.chat.styledMode}
|
||||
</span>
|
||||
</div>
|
||||
</SettingItem>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Footer */}
|
||||
<div className="px-6 py-4 border-t border-border-subtle bg-surface-1/50 rounded-b-2xl">
|
||||
<p className="text-xs text-muted-foreground text-center">
|
||||
Version {process.env.APP_VERSION}
|
||||
</p>
|
||||
<div className="flex items-center justify-center gap-3">
|
||||
<span className="text-xs text-muted-foreground flex items-center gap-1">
|
||||
<Tag className="h-3 w-3" />
|
||||
{process.env.APP_VERSION}
|
||||
</span>
|
||||
<span className="text-muted-foreground">·</span>
|
||||
<a
|
||||
href="https://github.com/DayuanJiang/next-ai-draw-io"
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="text-xs text-muted-foreground hover:text-foreground transition-colors flex items-center gap-1"
|
||||
>
|
||||
<Github className="h-3 w-3" />
|
||||
GitHub
|
||||
</a>
|
||||
{process.env.NEXT_PUBLIC_SHOW_ABOUT_AND_NOTICE ===
|
||||
"true" && (
|
||||
<>
|
||||
<span className="text-muted-foreground">·</span>
|
||||
<a
|
||||
href={`/${currentLang}/about${currentLang === "zh" ? "/cn" : currentLang === "ja" ? "/ja" : ""}`}
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="text-xs text-muted-foreground hover:text-foreground transition-colors flex items-center gap-1"
|
||||
>
|
||||
<Info className="h-3 w-3" />
|
||||
{dict.nav.about}
|
||||
</a>
|
||||
</>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
</DialogContent>
|
||||
)
|
||||
|
||||
@@ -4,7 +4,7 @@
|
||||
|
||||
**AI驱动的图表创建工具 - 对话、绘制、可视化**
|
||||
|
||||
[English](../README.md) | 中文 | [日本語](./README_JA.md)
|
||||
[English](../../README.md) | 中文 | [日本語](../ja/README_JA.md)
|
||||
|
||||
[](https://next-ai-drawio.jiang.jp/)
|
||||
|
||||
@@ -13,12 +13,14 @@
|
||||
[](https://react.dev/)
|
||||
[](https://github.com/sponsors/DayuanJiang)
|
||||
|
||||
[](https://next-ai-drawio.jiang.jp/)
|
||||
[](https://next-ai-drawio.jiang.jp/)
|
||||
|
||||
</div>
|
||||
|
||||
一个集成了AI功能的Next.js网页应用,与draw.io图表无缝结合。通过自然语言命令和AI辅助可视化来创建、修改和增强图表。
|
||||
|
||||
> 注:感谢 <img src="https://raw.githubusercontent.com/DayuanJiang/next-ai-draw-io/main/public/doubao-color.png" alt="" height="20" /> [字节跳动豆包](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) 的赞助支持,本项目的 Demo 现已接入强大的 K2-thinking 模型!
|
||||
|
||||
https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
|
||||
|
||||
## 目录
|
||||
@@ -27,14 +29,18 @@ https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
|
||||
- [示例](#示例)
|
||||
- [功能特性](#功能特性)
|
||||
- [MCP服务器(预览)](#mcp服务器预览)
|
||||
- [Claude Code CLI](#claude-code-cli)
|
||||
- [快速开始](#快速开始)
|
||||
- [在线试用](#在线试用)
|
||||
- [使用Docker运行(推荐)](#使用docker运行推荐)
|
||||
- [桌面应用](#桌面应用)
|
||||
- [使用Docker运行](#使用docker运行)
|
||||
- [安装](#安装)
|
||||
- [部署](#部署)
|
||||
- [部署到腾讯云EdgeOne Pages](#部署到腾讯云edgeone-pages)
|
||||
- [部署到Vercel(推荐)](#部署到vercel推荐)
|
||||
- [部署到Cloudflare Workers](#部署到cloudflare-workers)
|
||||
- [多提供商支持](#多提供商支持)
|
||||
- [工作原理](#工作原理)
|
||||
- [项目结构](#项目结构)
|
||||
- [支持与联系](#支持与联系)
|
||||
- [Star历史](#star历史)
|
||||
|
||||
@@ -48,31 +54,31 @@ https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
|
||||
<td colspan="2" valign="top" align="center">
|
||||
<strong>动画Transformer连接器</strong><br />
|
||||
<p><strong>提示词:</strong> 给我一个带有**动画连接器**的Transformer架构图。</p>
|
||||
<img src="../public/animated_connectors.svg" alt="带动画连接器的Transformer架构" width="480" />
|
||||
<img src="../../public/animated_connectors.svg" alt="带动画连接器的Transformer架构" width="480" />
|
||||
</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td width="50%" valign="top">
|
||||
<strong>GCP架构图</strong><br />
|
||||
<p><strong>提示词:</strong> 使用**GCP图标**生成一个GCP架构图。在这个图中,用户连接到托管在实例上的前端。</p>
|
||||
<img src="../public/gcp_demo.svg" alt="GCP架构图" width="480" />
|
||||
<img src="../../public/gcp_demo.svg" alt="GCP架构图" width="480" />
|
||||
</td>
|
||||
<td width="50%" valign="top">
|
||||
<strong>AWS架构图</strong><br />
|
||||
<p><strong>提示词:</strong> 使用**AWS图标**生成一个AWS架构图。在这个图中,用户连接到托管在实例上的前端。</p>
|
||||
<img src="../public/aws_demo.svg" alt="AWS架构图" width="480" />
|
||||
<img src="../../public/aws_demo.svg" alt="AWS架构图" width="480" />
|
||||
</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td width="50%" valign="top">
|
||||
<strong>Azure架构图</strong><br />
|
||||
<p><strong>提示词:</strong> 使用**Azure图标**生成一个Azure架构图。在这个图中,用户连接到托管在实例上的前端。</p>
|
||||
<img src="../public/azure_demo.svg" alt="Azure架构图" width="480" />
|
||||
<img src="../../public/azure_demo.svg" alt="Azure架构图" width="480" />
|
||||
</td>
|
||||
<td width="50%" valign="top">
|
||||
<strong>猫咪素描</strong><br />
|
||||
<p><strong>提示词:</strong> 给我画一只可爱的猫。</p>
|
||||
<img src="../public/cat_demo.svg" alt="猫咪绘图" width="240" />
|
||||
<img src="../../public/cat_demo.svg" alt="猫咪绘图" width="240" />
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
@@ -91,7 +97,7 @@ https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
|
||||
|
||||
## 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。
|
||||
> **预览功能**:此功能为实验性功能,可能不稳定。
|
||||
|
||||
通过MCP(模型上下文协议)在Claude Desktop、Cursor和VS Code等AI代理中使用Next AI Draw.io。
|
||||
|
||||
@@ -117,7 +123,7 @@ claude mcp add drawio -- npx @next-ai-drawio/mcp-server@latest
|
||||
|
||||
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。
|
||||
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
|
||||
|
||||
@@ -125,41 +131,19 @@ claude mcp add drawio -- npx @next-ai-drawio/mcp-server@latest
|
||||
|
||||
无需安装!直接在我们的演示站点试用:
|
||||
|
||||
[](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。
|
||||
[](https://next-ai-drawio.jiang.jp/)
|
||||
|
||||
> **使用自己的 API Key**:您可以使用自己的 API Key 来绕过演示站点的用量限制。点击聊天面板中的设置图标即可配置您的 Provider 和 API Key。您的 Key 仅保存在浏览器本地,不会被存储在服务器上。
|
||||
|
||||
### 使用Docker运行(推荐)
|
||||
### 桌面应用
|
||||
|
||||
如果您只想在本地运行,最好的方式是使用Docker。
|
||||
从 [Releases 页面](https://github.com/DayuanJiang/next-ai-draw-io/releases) 下载适用于您平台的原生桌面应用:
|
||||
|
||||
首先,如果您还没有安装Docker,请先安装:[获取Docker](https://docs.docker.com/get-docker/)
|
||||
支持的平台:Windows、macOS、Linux。
|
||||
|
||||
然后运行:
|
||||
### 使用Docker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。
|
||||
[查看 Docker 指南](./docker.md)
|
||||
|
||||
### 安装
|
||||
|
||||
@@ -168,56 +152,49 @@ docker run -d -p 3000:3000 --env-file .env ghcr.io/dayuanjiang/next-ai-draw-io:l
|
||||
```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:
|
||||
|
||||
- 将 `AI_PROVIDER` 设置为您选择的提供商(bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow)
|
||||
- 将 `AI_MODEL` 设置为您要使用的特定模型
|
||||
- 添加您的提供商所需的API密钥
|
||||
- `TEMPERATURE`:可选的温度设置(例如 `0` 表示确定性输出)。对于不支持此参数的模型(如推理模型),请不要设置。
|
||||
- `ACCESS_CODE_LIST` 访问密码,可选,可以使用逗号隔开多个密码。
|
||||
|
||||
> 警告:如果不填写 `ACCESS_CODE_LIST`,则任何人都可以直接使用你部署后的网站,可能会导致你的 token 被急速消耗完毕,建议填写此选项。
|
||||
|
||||
详细设置说明请参阅[提供商配置指南](./ai-providers.md)。
|
||||
|
||||
4. 运行开发服务器:
|
||||
2. 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。
|
||||
3. 在浏览器中打开 [http://localhost:6002](http://localhost:6002) 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)。
|
||||
### 部署到腾讯云EdgeOne Pages
|
||||
|
||||
您可以通过[腾讯云EdgeOne Pages](https://pages.edgeone.ai/zh)一键部署。
|
||||
|
||||
直接点击此按钮一键部署:
|
||||
[](https://console.cloud.tencent.com/edgeone/pages/new?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
|
||||
|
||||
查看[腾讯云EdgeOne Pages文档](https://pages.edgeone.ai/zh/document/product-introduction)了解更多详情。
|
||||
|
||||
同时,通过腾讯云EdgeOne Pages部署,也会获得[每日免费的DeepSeek模型额度](https://edgeone.cloud.tencent.com/pages/document/169925463311781888)。
|
||||
|
||||
### 部署到Vercel(推荐)
|
||||
|
||||
[](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
|
||||
|
||||
部署Next.js应用最简单的方式是使用Next.js创建者提供的[Vercel平台](https://vercel.com/new)。请确保在Vercel控制台中**设置环境变量**,就像您在本地 `.env.local` 文件中所做的那样。
|
||||
|
||||
查看[Next.js部署文档](https://nextjs.org/docs/app/building-your-application/deploying)了解更多详情。
|
||||
|
||||
或者您可以通过此按钮部署:
|
||||
[](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
|
||||
### 部署到Cloudflare Workers
|
||||
|
||||
请确保在Vercel控制台中**设置环境变量**,就像您在本地 `.env.local` 文件中所做的那样。
|
||||
[查看 Cloudflare 部署指南](./cloudflare-deploy.md)
|
||||
|
||||
|
||||
## 多提供商支持
|
||||
|
||||
- [字节跳动豆包](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)
|
||||
- AWS Bedrock(默认)
|
||||
- OpenAI
|
||||
- Anthropic
|
||||
@@ -227,14 +204,16 @@ npm run dev
|
||||
- OpenRouter
|
||||
- DeepSeek
|
||||
- SiliconFlow
|
||||
- SGLang
|
||||
- Vercel AI Gateway
|
||||
|
||||
除AWS Bedrock和OpenRouter外,所有提供商都支持自定义端点。
|
||||
|
||||
📖 **[详细的提供商配置指南](./ai-providers.md)** - 查看各提供商的设置说明。
|
||||
|
||||
**模型要求**:此任务需要强大的模型能力,因为它涉及生成具有严格格式约束的长文本(draw.io XML)。推荐使用Claude Sonnet 4.5、GPT-4o、Gemini 2.0和DeepSeek V3/R1。
|
||||
**模型要求**:此任务需要强大的模型能力,因为它涉及生成具有严格格式约束的长文本(draw.io XML)。推荐使用 Claude Sonnet 4.5、GPT-5.1、Gemini 3 Pro 和 DeepSeek V3.2/R1。
|
||||
|
||||
注意:`claude-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。
|
||||
注意:`claude` 系列已在带有 AWS、Azure、GCP 等云架构 Logo 的 draw.io 图表上进行训练,因此如果您想创建云架构图,这是最佳选择。
|
||||
|
||||
|
||||
## 工作原理
|
||||
@@ -247,27 +226,11 @@ npm run dev
|
||||
|
||||
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
|
||||
|
||||
**特别感谢[字节跳动豆包](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)赞助演示站点的 API Token 使用!** 注册火山引擎 ARK 平台即可获得50万免费Token!
|
||||
|
||||
如果您觉得这个项目有用,请考虑[赞助](https://github.com/sponsors/DayuanJiang)来帮助我托管在线演示站点!
|
||||
|
||||
如需支持或咨询,请在GitHub仓库上提交issue或联系维护者:
|
||||
236
docs/cn/ai-providers.md
Normal file
236
docs/cn/ai-providers.md
Normal file
@@ -0,0 +1,236 @@
|
||||
# AI 提供商配置
|
||||
|
||||
本指南介绍如何为 next-ai-draw-io 配置不同的 AI 模型提供商。
|
||||
|
||||
## 快速开始
|
||||
|
||||
1. 将 `.env.example` 复制为 `.env.local`
|
||||
2. 设置所选提供商的 API 密钥
|
||||
3. 将 `AI_MODEL` 设置为所需的模型
|
||||
4. 运行 `npm run dev`
|
||||
|
||||
## 支持的提供商
|
||||
|
||||
### 豆包 (字节跳动火山引擎)
|
||||
|
||||
> **免费 Token**:在 [火山引擎 ARK 平台](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) 注册,即可获得所有模型 50 万免费 Token!
|
||||
|
||||
```bash
|
||||
DOUBAO_API_KEY=your_api_key
|
||||
AI_MODEL=doubao-seed-1-8-251215 # 或其他豆包模型
|
||||
```
|
||||
|
||||
### Google Gemini
|
||||
|
||||
```bash
|
||||
GOOGLE_GENERATIVE_AI_API_KEY=your_api_key
|
||||
AI_MODEL=gemini-2.0-flash
|
||||
```
|
||||
|
||||
可选的自定义端点:
|
||||
|
||||
```bash
|
||||
GOOGLE_BASE_URL=https://your-custom-endpoint
|
||||
```
|
||||
|
||||
### OpenAI
|
||||
|
||||
```bash
|
||||
OPENAI_API_KEY=your_api_key
|
||||
AI_MODEL=gpt-4o
|
||||
```
|
||||
|
||||
可选的自定义端点(用于 OpenAI 兼容服务):
|
||||
|
||||
```bash
|
||||
OPENAI_BASE_URL=https://your-custom-endpoint/v1
|
||||
```
|
||||
|
||||
### Anthropic
|
||||
|
||||
```bash
|
||||
ANTHROPIC_API_KEY=your_api_key
|
||||
AI_MODEL=claude-sonnet-4-5-20250514
|
||||
```
|
||||
|
||||
可选的自定义端点:
|
||||
|
||||
```bash
|
||||
ANTHROPIC_BASE_URL=https://your-custom-endpoint
|
||||
```
|
||||
|
||||
### DeepSeek
|
||||
|
||||
```bash
|
||||
DEEPSEEK_API_KEY=your_api_key
|
||||
AI_MODEL=deepseek-chat
|
||||
```
|
||||
|
||||
可选的自定义端点:
|
||||
|
||||
```bash
|
||||
DEEPSEEK_BASE_URL=https://your-custom-endpoint
|
||||
```
|
||||
|
||||
### SiliconFlow (OpenAI 兼容)
|
||||
|
||||
```bash
|
||||
SILICONFLOW_API_KEY=your_api_key
|
||||
AI_MODEL=deepseek-ai/DeepSeek-V3 # 示例;使用任何 SiliconFlow 模型 ID
|
||||
```
|
||||
|
||||
可选的自定义端点(默认为推荐域名):
|
||||
|
||||
```bash
|
||||
SILICONFLOW_BASE_URL=https://api.siliconflow.com/v1 # 或 https://api.siliconflow.cn/v1
|
||||
```
|
||||
|
||||
### SGLang
|
||||
|
||||
```bash
|
||||
SGLANG_API_KEY=your_api_key
|
||||
AI_MODEL=your_model_id
|
||||
```
|
||||
|
||||
可选的自定义端点:
|
||||
|
||||
```bash
|
||||
SGLANG_BASE_URL=https://your-custom-endpoint/v1
|
||||
```
|
||||
|
||||
### Azure OpenAI
|
||||
|
||||
```bash
|
||||
AZURE_API_KEY=your_api_key
|
||||
AZURE_RESOURCE_NAME=your-resource-name # 必填:您的 Azure 资源名称
|
||||
AI_MODEL=your-deployment-name
|
||||
```
|
||||
|
||||
或者使用自定义端点代替资源名称:
|
||||
|
||||
```bash
|
||||
AZURE_API_KEY=your_api_key
|
||||
AZURE_BASE_URL=https://your-resource.openai.azure.com # AZURE_RESOURCE_NAME 的替代方案
|
||||
AI_MODEL=your-deployment-name
|
||||
```
|
||||
|
||||
可选的推理配置:
|
||||
|
||||
```bash
|
||||
AZURE_REASONING_EFFORT=low # 可选:low, medium, high
|
||||
AZURE_REASONING_SUMMARY=detailed # 可选:none, brief, detailed
|
||||
```
|
||||
|
||||
### AWS Bedrock
|
||||
|
||||
```bash
|
||||
AWS_REGION=us-west-2
|
||||
AWS_ACCESS_KEY_ID=your_access_key_id
|
||||
AWS_SECRET_ACCESS_KEY=your_secret_access_key
|
||||
AI_MODEL=anthropic.claude-sonnet-4-5-20250514-v1:0
|
||||
```
|
||||
|
||||
注意:在 AWS 环境(Lambda、带有 IAM 角色的 EC2)中,凭证会自动从 IAM 角色获取。
|
||||
|
||||
### OpenRouter
|
||||
|
||||
```bash
|
||||
OPENROUTER_API_KEY=your_api_key
|
||||
AI_MODEL=anthropic/claude-sonnet-4
|
||||
```
|
||||
|
||||
可选的自定义端点:
|
||||
|
||||
```bash
|
||||
OPENROUTER_BASE_URL=https://your-custom-endpoint
|
||||
```
|
||||
|
||||
### Ollama (本地)
|
||||
|
||||
```bash
|
||||
AI_PROVIDER=ollama
|
||||
AI_MODEL=llama3.2
|
||||
```
|
||||
|
||||
可选的自定义 URL:
|
||||
|
||||
```bash
|
||||
OLLAMA_BASE_URL=http://localhost:11434
|
||||
```
|
||||
|
||||
### Vercel AI Gateway
|
||||
|
||||
Vercel AI Gateway 通过单个 API 密钥提供对多个 AI 提供商的统一访问。这简化了身份验证,让您无需管理多个 API 密钥即可在不同提供商之间切换。
|
||||
|
||||
**基本用法(Vercel 托管网关):**
|
||||
|
||||
```bash
|
||||
AI_GATEWAY_API_KEY=your_gateway_api_key
|
||||
AI_MODEL=openai/gpt-4o
|
||||
```
|
||||
|
||||
**自定义网关 URL(用于本地开发或自托管网关):**
|
||||
|
||||
```bash
|
||||
AI_GATEWAY_API_KEY=your_custom_api_key
|
||||
AI_GATEWAY_BASE_URL=https://your-custom-gateway.com/v1/ai
|
||||
AI_MODEL=openai/gpt-4o
|
||||
```
|
||||
|
||||
模型格式使用 `provider/model` 语法:
|
||||
|
||||
- `openai/gpt-4o` - OpenAI GPT-4o
|
||||
- `anthropic/claude-sonnet-4-5` - Anthropic Claude Sonnet 4.5
|
||||
- `google/gemini-2.0-flash` - Google Gemini 2.0 Flash
|
||||
|
||||
**配置说明:**
|
||||
|
||||
- 如果未设置 `AI_GATEWAY_BASE_URL`,则使用默认的 Vercel Gateway URL (`https://ai-gateway.vercel.sh/v1/ai`)
|
||||
- 自定义基础 URL 适用于:
|
||||
- 使用自定义网关实例进行本地开发
|
||||
- 自托管 AI Gateway 部署
|
||||
- 企业代理配置
|
||||
- 当使用自定义基础 URL 时,必须同时提供 `AI_GATEWAY_API_KEY`
|
||||
|
||||
从 [Vercel AI Gateway 仪表板](https://vercel.com/ai-gateway) 获取您的 API 密钥。
|
||||
|
||||
## 自动检测
|
||||
|
||||
如果您只配置了**一个**提供商的 API 密钥,系统将自动检测并使用该提供商。无需设置 `AI_PROVIDER`。
|
||||
|
||||
如果您配置了**多个** API 密钥,则必须显式设置 `AI_PROVIDER`:
|
||||
|
||||
```bash
|
||||
AI_PROVIDER=google # 或:openai, anthropic, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang
|
||||
```
|
||||
|
||||
## 模型能力要求
|
||||
|
||||
此任务对模型能力要求极高,因为它涉及生成具有严格格式约束(draw.io XML)的长文本。
|
||||
|
||||
**推荐模型**:
|
||||
|
||||
- Claude Sonnet 4.5 / Opus 4.5
|
||||
|
||||
**关于 Ollama 的说明**:虽然支持将 Ollama 作为提供商,但除非您在本地运行像 DeepSeek R1 或 Qwen3-235B 这样的高性能模型,否则对于此用例通常不太实用。
|
||||
|
||||
## 温度设置 (Temperature)
|
||||
|
||||
您可以通过环境变量选择性地配置温度:
|
||||
|
||||
```bash
|
||||
TEMPERATURE=0 # 输出更具确定性(推荐用于图表)
|
||||
```
|
||||
|
||||
**重要提示**:对于不支持温度设置的模型(例如以下模型),请勿设置 `TEMPERATURE`:
|
||||
- GPT-5.1 和其他推理模型
|
||||
- 某些专用模型
|
||||
|
||||
未设置时,模型将使用其默认行为。
|
||||
|
||||
## 推荐
|
||||
|
||||
- **最佳体验**:使用支持视觉的模型(GPT-4o, Claude, Gemini)以获得图像转图表功能
|
||||
- **经济实惠**:DeepSeek 提供具有竞争力的价格
|
||||
- **隐私保护**:使用 Ollama 进行完全本地、离线的操作(需要强大的硬件支持)
|
||||
- **灵活性**:OpenRouter 通过单一 API 提供对众多模型的访问
|
||||
267
docs/cn/cloudflare-deploy.md
Normal file
267
docs/cn/cloudflare-deploy.md
Normal file
@@ -0,0 +1,267 @@
|
||||
# 部署到 Cloudflare Workers
|
||||
|
||||
本项目可以通过 **OpenNext 适配器** 部署为 **Cloudflare Worker**,为您提供:
|
||||
|
||||
- 全球边缘部署
|
||||
- 极低延迟
|
||||
- 免费的 `workers.dev` 域名托管
|
||||
- 通过 R2 实现完整的 Next.js ISR 支持(可选)
|
||||
|
||||
> **Windows 用户重要提示:** OpenNext 和 Wrangler 在 **原生 Windows 环境下并不完全可靠**。建议方案:
|
||||
>
|
||||
> - 使用 **GitHub Codespaces**(完美运行)
|
||||
> - 或者使用 **WSL (Linux)**
|
||||
>
|
||||
> 纯 Windows 构建可能会因为 WASM 文件路径问题而失败。
|
||||
|
||||
---
|
||||
|
||||
## 前置条件
|
||||
|
||||
1. 一个 **Cloudflare 账户**(免费版即可满足基本部署需求)
|
||||
2. **Node.js 18+**
|
||||
3. 安装 **Wrangler CLI**(作为开发依赖安装即可):
|
||||
|
||||
```bash
|
||||
npm install -D wrangler
|
||||
```
|
||||
|
||||
4. 登录 Cloudflare:
|
||||
|
||||
```bash
|
||||
npx wrangler login
|
||||
```
|
||||
|
||||
> **注意:** 只有在启用 R2 进行 ISR 缓存时才需要绑定支付方式。基本的 Workers 部署是免费的。
|
||||
|
||||
---
|
||||
|
||||
## 第一步 — 安装依赖
|
||||
|
||||
```bash
|
||||
npm install
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 第二步 — 配置环境变量
|
||||
|
||||
Cloudflare 在本地测试时使用不同的文件。
|
||||
|
||||
### 1) 创建 `.dev.vars`(用于 Cloudflare 本地调试 + 部署)
|
||||
|
||||
```bash
|
||||
cp env.example .dev.vars
|
||||
```
|
||||
|
||||
填入您的 API 密钥和配置信息。
|
||||
|
||||
### 2) 确保 `.env.local` 也存在(用于常规 Next.js 开发)
|
||||
|
||||
```bash
|
||||
cp env.example .env.local
|
||||
```
|
||||
|
||||
在此处填入相同的值。
|
||||
|
||||
---
|
||||
|
||||
## 第三步 — 选择部署类型
|
||||
|
||||
### 选项 A:不使用 R2 部署(简单,免费)
|
||||
|
||||
如果您不需要 ISR 缓存,可以选择不使用 R2 进行部署:
|
||||
|
||||
**1. 使用简单的 `open-next.config.ts`:**
|
||||
|
||||
```ts
|
||||
import { defineCloudflareConfig } from "@opennextjs/cloudflare/config"
|
||||
|
||||
export default defineCloudflareConfig({})
|
||||
```
|
||||
|
||||
**2. 使用简单的 `wrangler.jsonc`(不包含 r2_buckets):**
|
||||
|
||||
```jsonc
|
||||
{
|
||||
"$schema": "node_modules/wrangler/config-schema.json",
|
||||
"main": ".open-next/worker.js",
|
||||
"name": "next-ai-draw-io-worker",
|
||||
"compatibility_date": "2025-12-08",
|
||||
"compatibility_flags": ["nodejs_compat", "global_fetch_strictly_public"],
|
||||
"assets": {
|
||||
"directory": ".open-next/assets",
|
||||
"binding": "ASSETS"
|
||||
},
|
||||
"services": [
|
||||
{
|
||||
"binding": "WORKER_SELF_REFERENCE",
|
||||
"service": "next-ai-draw-io-worker"
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
直接跳至 **第四步**。
|
||||
|
||||
---
|
||||
|
||||
### 选项 B:使用 R2 部署(完整的 ISR 支持)
|
||||
|
||||
R2 开启了 **增量静态再生 (ISR)** 缓存功能。需要在您的 Cloudflare 账户中绑定支付方式。
|
||||
|
||||
**1. 在 Cloudflare 控制台中创建 R2 存储桶:**
|
||||
|
||||
- 进入 **Storage & Databases → R2**
|
||||
- 点击 **Create bucket**
|
||||
- 命名为:`next-inc-cache`
|
||||
|
||||
**2. 配置 `open-next.config.ts`:**
|
||||
|
||||
```ts
|
||||
import { defineCloudflareConfig } from "@opennextjs/cloudflare/config"
|
||||
import r2IncrementalCache from "@opennextjs/cloudflare/overrides/incremental-cache/r2-incremental-cache"
|
||||
|
||||
export default defineCloudflareConfig({
|
||||
incrementalCache: r2IncrementalCache,
|
||||
})
|
||||
```
|
||||
|
||||
**3. 配置 `wrangler.jsonc`(包含 R2):**
|
||||
|
||||
```jsonc
|
||||
{
|
||||
"$schema": "node_modules/wrangler/config-schema.json",
|
||||
"main": ".open-next/worker.js",
|
||||
"name": "next-ai-draw-io-worker",
|
||||
"compatibility_date": "2025-12-08",
|
||||
"compatibility_flags": ["nodejs_compat", "global_fetch_strictly_public"],
|
||||
"assets": {
|
||||
"directory": ".open-next/assets",
|
||||
"binding": "ASSETS"
|
||||
},
|
||||
"r2_buckets": [
|
||||
{
|
||||
"binding": "NEXT_INC_CACHE_R2_BUCKET",
|
||||
"bucket_name": "next-inc-cache"
|
||||
}
|
||||
],
|
||||
"services": [
|
||||
{
|
||||
"binding": "WORKER_SELF_REFERENCE",
|
||||
"service": "next-ai-draw-io-worker"
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
> **重要提示:** `bucket_name` 必须与您在 Cloudflare 控制台中创建的名称完全一致。
|
||||
|
||||
---
|
||||
|
||||
## 第四步 — 注册 workers.dev 子域名(仅首次需要)
|
||||
|
||||
在首次部署之前,您需要一个 workers.dev 子域名。
|
||||
|
||||
**选项 1:通过 Cloudflare 控制台(推荐)**
|
||||
|
||||
访问:https://dash.cloudflare.com → Workers & Pages → Overview → Set up a subdomain
|
||||
|
||||
**选项 2:在部署过程中**
|
||||
|
||||
运行 `npm run deploy` 时,Wrangler 可能会提示:
|
||||
|
||||
```
|
||||
Would you like to register a workers.dev subdomain? (Y/n)
|
||||
```
|
||||
|
||||
输入 `Y` 并选择一个子域名。
|
||||
|
||||
> **注意:** 在 CI/CD 或非交互式环境中,该提示不会出现。请先通过控制台进行注册。
|
||||
|
||||
---
|
||||
|
||||
## 第五步 — 部署到 Cloudflare
|
||||
|
||||
```bash
|
||||
npm run deploy
|
||||
```
|
||||
|
||||
该脚本执行的操作:
|
||||
|
||||
- 构建 Next.js 应用
|
||||
- 通过 OpenNext 将其转换为 Cloudflare Worker
|
||||
- 上传静态资源
|
||||
- 发布 Worker
|
||||
|
||||
您的应用将可通过以下地址访问:
|
||||
|
||||
```
|
||||
https://<worker-name>.<your-subdomain>.workers.dev
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 常见问题与修复
|
||||
|
||||
### `You need to register a workers.dev subdomain`
|
||||
|
||||
**原因:** 您的账户尚未注册 workers.dev 子域名。
|
||||
|
||||
**修复:** 前往 https://dash.cloudflare.com → Workers & Pages → Set up a subdomain。
|
||||
|
||||
---
|
||||
|
||||
### `Please enable R2 through the Cloudflare Dashboard`
|
||||
|
||||
**原因:** wrangler.jsonc 中配置了 R2,但您的账户尚未启用该功能。
|
||||
|
||||
**修复:** 启用 R2(需要支付方式)或使用选项 A(不使用 R2 部署)。
|
||||
|
||||
---
|
||||
|
||||
### `No R2 binding "NEXT_INC_CACHE_R2_BUCKET" found`
|
||||
|
||||
**原因:** `wrangler.jsonc` 中缺少 `r2_buckets` 配置。
|
||||
|
||||
**修复:** 添加 `r2_buckets` 部分或切换到选项 A(不使用 R2)。
|
||||
|
||||
---
|
||||
|
||||
### `Can't set compatibility date in the future`
|
||||
|
||||
**原因:** wrangler 配置中的 `compatibility_date` 设置为了未来的日期。
|
||||
|
||||
**修复:** 将 `compatibility_date` 修改为今天或更早的日期。
|
||||
|
||||
---
|
||||
|
||||
### Windows 错误:`resvg.wasm?module` (ENOENT)
|
||||
|
||||
**原因:** Windows 文件名不能包含 `?`,但某个 wasm 资源文件名中使用了 `?module`。
|
||||
|
||||
**修复:** 在 Linux 环境(WSL、Codespaces 或 CI)上进行构建/部署。
|
||||
|
||||
---
|
||||
|
||||
## 可选:本地预览
|
||||
|
||||
部署前在本地预览 Worker:
|
||||
|
||||
```bash
|
||||
npm run preview
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 总结
|
||||
|
||||
| 功能 | 不使用 R2 | 使用 R2 |
|
||||
|---------|------------|---------|
|
||||
| 成本 | 免费 | 需要绑定支付方式 |
|
||||
| ISR 缓存 | 无 | 有 |
|
||||
| 静态页面 | 支持 | 支持 |
|
||||
| API 路由 | 支持 | 支持 |
|
||||
| 配置复杂度 | 简单 | 中等 |
|
||||
|
||||
测试或简单应用请选择 **不使用 R2**。需要 ISR 缓存的生产环境应用请选择 **使用 R2**。
|
||||
29
docs/cn/docker.md
Normal file
29
docs/cn/docker.md
Normal file
@@ -0,0 +1,29 @@
|
||||
# 使用 Docker 运行
|
||||
|
||||
如果您只是想在本地运行,最好的方式是使用 Docker。
|
||||
|
||||
首先,如果您尚未安装 Docker,请先安装:[获取 Docker](https://docs.docker.com/get-docker/)
|
||||
|
||||
然后运行:
|
||||
|
||||
```bash
|
||||
docker run -d -p 3000:3000 \
|
||||
-e AI_PROVIDER=openai \
|
||||
-e AI_MODEL=gpt-4o \
|
||||
-e OPENAI_API_KEY=your_api_key \
|
||||
ghcr.io/dayuanjiang/next-ai-draw-io:latest
|
||||
```
|
||||
|
||||
或者使用环境变量文件:
|
||||
|
||||
```bash
|
||||
cp env.example .env
|
||||
# 编辑 .env 文件并填入您的配置
|
||||
docker run -d -p 3000:3000 --env-file .env ghcr.io/dayuanjiang/next-ai-draw-io:latest
|
||||
```
|
||||
|
||||
在浏览器中打开 [http://localhost:3000](http://localhost:3000)。
|
||||
|
||||
请将环境变量替换为您首选的 AI 提供商配置。查看 [AI 提供商](./ai-providers.md) 了解可用选项。
|
||||
|
||||
> **离线部署:** 如果无法访问 `embed.diagrams.net`,请参阅 [离线部署](./offline-deployment.md) 了解配置选项。
|
||||
38
docs/cn/offline-deployment.md
Normal file
38
docs/cn/offline-deployment.md
Normal file
@@ -0,0 +1,38 @@
|
||||
# 离线部署
|
||||
|
||||
通过自托管 draw.io 来替代 `embed.diagrams.net`,从而离线部署 Next AI Draw.io。
|
||||
|
||||
**注意:** `NEXT_PUBLIC_DRAWIO_BASE_URL` 是一个**构建时**变量。修改它需要重新构建 Docker 镜像。
|
||||
|
||||
## Docker Compose 设置
|
||||
|
||||
1. 克隆仓库并在 `.env` 文件中定义 API 密钥。
|
||||
2. 创建 `docker-compose.yml`:
|
||||
|
||||
```yaml
|
||||
services:
|
||||
drawio:
|
||||
image: jgraph/drawio:latest
|
||||
ports: ["8080:8080"]
|
||||
next-ai-draw-io:
|
||||
build:
|
||||
context: .
|
||||
args:
|
||||
- NEXT_PUBLIC_DRAWIO_BASE_URL=http://localhost:8080
|
||||
ports: ["3000:3000"]
|
||||
env_file: .env
|
||||
depends_on: [drawio]
|
||||
```
|
||||
|
||||
3. 运行 `docker compose up -d` 并打开 `http://localhost:3000`。
|
||||
|
||||
## 配置与重要警告
|
||||
|
||||
**`NEXT_PUBLIC_DRAWIO_BASE_URL` 必须是用户浏览器可访问的地址。**
|
||||
|
||||
| 场景 | URL 值 |
|
||||
|----------|-----------|
|
||||
| 本地主机 (Localhost) | `http://localhost:8080` |
|
||||
| 远程/服务器 | `http://YOUR_SERVER_IP:8080` |
|
||||
|
||||
**切勿使用** Docker 内部别名(如 `http://drawio:8080`),因为浏览器无法解析它们。
|
||||
@@ -11,6 +11,15 @@ This guide explains how to configure different AI model providers for next-ai-dr
|
||||
|
||||
## Supported Providers
|
||||
|
||||
### Doubao (ByteDance Volcengine)
|
||||
|
||||
> **Free tokens**: Register on the [Volcengine ARK platform](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) to get 500K free tokens for all models!
|
||||
|
||||
```bash
|
||||
DOUBAO_API_KEY=your_api_key
|
||||
AI_MODEL=doubao-seed-1-8-251215 # or other Doubao model
|
||||
```
|
||||
|
||||
### Google Gemini
|
||||
|
||||
```bash
|
||||
@@ -76,6 +85,19 @@ Optional custom endpoint (defaults to the recommended domain):
|
||||
SILICONFLOW_BASE_URL=https://api.siliconflow.com/v1 # or https://api.siliconflow.cn/v1
|
||||
```
|
||||
|
||||
### SGLang
|
||||
|
||||
```bash
|
||||
SGLANG_API_KEY=your_api_key
|
||||
AI_MODEL=your_model_id
|
||||
```
|
||||
|
||||
Optional custom endpoint:
|
||||
|
||||
```bash
|
||||
SGLANG_BASE_URL=https://your-custom-endpoint/v1
|
||||
```
|
||||
|
||||
### Azure OpenAI
|
||||
|
||||
```bash
|
||||
@@ -179,7 +201,7 @@ If you only configure **one** provider's API key, the system will automatically
|
||||
If you configure **multiple** API keys, you must explicitly set `AI_PROVIDER`:
|
||||
|
||||
```bash
|
||||
AI_PROVIDER=google # or: openai, anthropic, deepseek, siliconflow, azure, bedrock, openrouter, ollama, gateway
|
||||
AI_PROVIDER=google # or: openai, anthropic, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang
|
||||
```
|
||||
|
||||
## Model Capability Requirements
|
||||
29
docs/en/docker.md
Normal file
29
docs/en/docker.md
Normal file
@@ -0,0 +1,29 @@
|
||||
# Run with Docker
|
||||
|
||||
If you just want to run it locally, the best way is to use Docker.
|
||||
|
||||
First, install Docker if you haven't already: [Get Docker](https://docs.docker.com/get-docker/)
|
||||
|
||||
Then run:
|
||||
|
||||
```bash
|
||||
docker run -d -p 3000:3000 \
|
||||
-e AI_PROVIDER=openai \
|
||||
-e AI_MODEL=gpt-4o \
|
||||
-e OPENAI_API_KEY=your_api_key \
|
||||
ghcr.io/dayuanjiang/next-ai-draw-io:latest
|
||||
```
|
||||
|
||||
Or use an env file:
|
||||
|
||||
```bash
|
||||
cp env.example .env
|
||||
# Edit .env with your configuration
|
||||
docker run -d -p 3000:3000 --env-file .env ghcr.io/dayuanjiang/next-ai-draw-io:latest
|
||||
```
|
||||
|
||||
Open [http://localhost:3000](http://localhost:3000) in your browser.
|
||||
|
||||
Replace the environment variables with your preferred AI provider configuration. See [AI Providers](./ai-providers.md) for available options.
|
||||
|
||||
> **Offline Deployment:** If `embed.diagrams.net` is blocked, see [Offline Deployment](./offline-deployment.md) for configuration options.
|
||||
@@ -4,7 +4,7 @@
|
||||
|
||||
**AI搭載のダイアグラム作成ツール - チャット、描画、可視化**
|
||||
|
||||
[English](../README.md) | [中文](./README_CN.md) | 日本語
|
||||
[English](../../README.md) | [中文](../cn/README_CN.md) | 日本語
|
||||
|
||||
[](https://next-ai-drawio.jiang.jp/)
|
||||
|
||||
@@ -13,12 +13,14 @@
|
||||
[](https://react.dev/)
|
||||
[](https://github.com/sponsors/DayuanJiang)
|
||||
|
||||
[](https://next-ai-drawio.jiang.jp/)
|
||||
[](https://next-ai-drawio.jiang.jp/)
|
||||
|
||||
</div>
|
||||
|
||||
AI機能とdraw.ioダイアグラムを統合したNext.jsウェブアプリケーションです。自然言語コマンドとAI支援の可視化により、ダイアグラムを作成、修正、強化できます。
|
||||
|
||||
> 注:<img src="https://raw.githubusercontent.com/DayuanJiang/next-ai-draw-io/main/public/doubao-color.png" alt="" height="20" /> [ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) のご支援により、デモサイトに強力な K2-thinking モデルを導入しました!
|
||||
|
||||
https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
|
||||
|
||||
## 目次
|
||||
@@ -27,14 +29,18 @@ https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
|
||||
- [例](#例)
|
||||
- [機能](#機能)
|
||||
- [MCPサーバー(プレビュー)](#mcpサーバープレビュー)
|
||||
- [Claude Code CLI](#claude-code-cli)
|
||||
- [はじめに](#はじめに)
|
||||
- [オンラインで試す](#オンラインで試す)
|
||||
- [Dockerで実行(推奨)](#dockerで実行推奨)
|
||||
- [デスクトップアプリケーション](#デスクトップアプリケーション)
|
||||
- [Dockerで実行](#dockerで実行)
|
||||
- [インストール](#インストール)
|
||||
- [デプロイ](#デプロイ)
|
||||
- [EdgeOne Pagesへのデプロイ](#edgeone-pagesへのデプロイ)
|
||||
- [Vercelへのデプロイ(推奨)](#vercelへのデプロイ推奨)
|
||||
- [Cloudflare Workersへのデプロイ](#cloudflare-workersへのデプロイ)
|
||||
- [マルチプロバイダーサポート](#マルチプロバイダーサポート)
|
||||
- [仕組み](#仕組み)
|
||||
- [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)
|
||||
|
||||
@@ -48,31 +54,31 @@ https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
|
||||
<td colspan="2" valign="top" align="center">
|
||||
<strong>アニメーションTransformerコネクタ</strong><br />
|
||||
<p><strong>プロンプト:</strong> **アニメーションコネクタ**付きのTransformerアーキテクチャ図を作成してください。</p>
|
||||
<img src="../public/animated_connectors.svg" alt="アニメーションコネクタ付きTransformerアーキテクチャ" width="480" />
|
||||
<img src="../../public/animated_connectors.svg" alt="アニメーションコネクタ付きTransformerアーキテクチャ" width="480" />
|
||||
</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td width="50%" valign="top">
|
||||
<strong>GCPアーキテクチャ図</strong><br />
|
||||
<p><strong>プロンプト:</strong> **GCPアイコン**を使用してGCPアーキテクチャ図を生成してください。この図では、ユーザーがインスタンス上でホストされているフロントエンドに接続します。</p>
|
||||
<img src="../public/gcp_demo.svg" alt="GCPアーキテクチャ図" width="480" />
|
||||
<img src="../../public/gcp_demo.svg" alt="GCPアーキテクチャ図" width="480" />
|
||||
</td>
|
||||
<td width="50%" valign="top">
|
||||
<strong>AWSアーキテクチャ図</strong><br />
|
||||
<p><strong>プロンプト:</strong> **AWSアイコン**を使用してAWSアーキテクチャ図を生成してください。この図では、ユーザーがインスタンス上でホストされているフロントエンドに接続します。</p>
|
||||
<img src="../public/aws_demo.svg" alt="AWSアーキテクチャ図" width="480" />
|
||||
<img src="../../public/aws_demo.svg" alt="AWSアーキテクチャ図" width="480" />
|
||||
</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td width="50%" valign="top">
|
||||
<strong>Azureアーキテクチャ図</strong><br />
|
||||
<p><strong>プロンプト:</strong> **Azureアイコン**を使用してAzureアーキテクチャ図を生成してください。この図では、ユーザーがインスタンス上でホストされているフロントエンドに接続します。</p>
|
||||
<img src="../public/azure_demo.svg" alt="Azureアーキテクチャ図" width="480" />
|
||||
<img src="../../public/azure_demo.svg" alt="Azureアーキテクチャ図" width="480" />
|
||||
</td>
|
||||
<td width="50%" valign="top">
|
||||
<strong>猫のスケッチ</strong><br />
|
||||
<p><strong>プロンプト:</strong> かわいい猫を描いてください。</p>
|
||||
<img src="../public/cat_demo.svg" alt="猫の絵" width="240" />
|
||||
<img src="../../public/cat_demo.svg" alt="猫の絵" width="240" />
|
||||
</td>
|
||||
</tr>
|
||||
</table>
|
||||
@@ -91,7 +97,7 @@ https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
|
||||
|
||||
## 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。
|
||||
> **プレビュー機能**:この機能は実験的であり、安定しない可能性があります。
|
||||
|
||||
MCP(Model 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。
|
||||
|
||||
@@ -117,7 +123,7 @@ Claudeにダイアグラムの作成を依頼:
|
||||
|
||||
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)。
|
||||
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
|
||||
|
||||
@@ -125,41 +131,19 @@ Claudeにダイアグラムの作成を依頼:
|
||||
|
||||
インストール不要!デモサイトで直接お試しください:
|
||||
|
||||
[](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。
|
||||
[](https://next-ai-drawio.jiang.jp/)
|
||||
|
||||
> **自分のAPIキーを使用**:自分のAPIキーを使用することで、デモサイトの利用制限を回避できます。チャットパネルの設定アイコンをクリックして、プロバイダーとAPIキーを設定してください。キーはブラウザのローカルに保存され、サーバーには保存されません。
|
||||
|
||||
### Dockerで実行(推奨)
|
||||
### デスクトップアプリケーション
|
||||
|
||||
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。
|
||||
[Releases ページ](https://github.com/DayuanJiang/next-ai-draw-io/releases)からお使いのプラットフォーム用のネイティブデスクトップアプリをダウンロードしてください:
|
||||
|
||||
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/)
|
||||
対応プラットフォーム:Windows、macOS、Linux。
|
||||
|
||||
次に実行:
|
||||
### Dockerで実行
|
||||
|
||||
```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。
|
||||
[Docker ガイドを参照](./docker.md)
|
||||
|
||||
### インストール
|
||||
|
||||
@@ -168,56 +152,50 @@ docker run -d -p 3000:3000 --env-file .env ghcr.io/dayuanjiang/next-ai-draw-io:l
|
||||
```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:
|
||||
2. 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。
|
||||
3. ブラウザで[http://localhost:6002](http://localhost:6002)を開いてアプリケーションを確認。
|
||||
|
||||
## デプロイ
|
||||
|
||||
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。
|
||||
### EdgeOne Pagesへのデプロイ
|
||||
|
||||
[Tencent EdgeOne Pages](https://pages.edgeone.ai/)を使用してワンクリックでデプロイできます。
|
||||
|
||||
このボタンでデプロイ:
|
||||
|
||||
[](https://edgeone.ai/pages/new?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
|
||||
|
||||
詳細は[Tencent EdgeOne Pagesドキュメント](https://pages.edgeone.ai/document/deployment-overview)をご覧ください。
|
||||
|
||||
また、Tencent EdgeOne Pagesでデプロイすると、[DeepSeekモデルの毎日の無料クォータ](https://pages.edgeone.ai/document/edge-ai)が付与されます。
|
||||
|
||||
### Vercelへのデプロイ(推奨)
|
||||
|
||||
[](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
|
||||
|
||||
Next.jsアプリをデプロイする最も簡単な方法は、Next.jsの作成者による[Vercelプラットフォーム](https://vercel.com/new)を使用することです。ローカルの`.env.local`ファイルと同様に、Vercelダッシュボードで**環境変数を設定**してください。
|
||||
|
||||
詳細は[Next.jsデプロイメントドキュメント](https://nextjs.org/docs/app/building-your-application/deploying)をご覧ください。
|
||||
|
||||
または、このボタンでデプロイできます:
|
||||
[](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
|
||||
### Cloudflare Workersへのデプロイ
|
||||
|
||||
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。
|
||||
[Cloudflare デプロイガイドを参照](./cloudflare-deploy.md)
|
||||
|
||||
|
||||
## マルチプロバイダーサポート
|
||||
|
||||
- [ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)
|
||||
- AWS Bedrock(デフォルト)
|
||||
- OpenAI
|
||||
- Anthropic
|
||||
@@ -227,14 +205,16 @@ 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
|
||||
- OpenRouter
|
||||
- DeepSeek
|
||||
- SiliconFlow
|
||||
- SGLang
|
||||
- Vercel AI Gateway
|
||||
|
||||
AWS BedrockとOpenRouter以外のすべてのプロバイダーはカスタムエンドポイントをサポートしています。
|
||||
|
||||
📖 **[詳細なプロバイダー設定ガイド](./ai-providers.md)** - 各プロバイダーの設定手順をご覧ください。
|
||||
|
||||
**モデル要件**:このタスクは厳密なフォーマット制約(draw.io XML)を持つ長文テキスト生成を伴うため、強力なモデル機能が必要です。Claude Sonnet 4.5、GPT-4o、Gemini 2.0、DeepSeek V3/R1を推奨します。
|
||||
**モデル要件**:このタスクは厳密なフォーマット制約(draw.io XML)を持つ長文テキスト生成を伴うため、強力なモデル機能が必要です。Claude Sonnet 4.5、GPT-5.1、Gemini 3 Pro、DeepSeek V3.2/R1を推奨します。
|
||||
|
||||
注:`claude-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。
|
||||
注:`claude`シリーズはAWS、Azure、GCPなどのクラウドアーキテクチャロゴ付きのdraw.ioダイアグラムで学習されているため、クラウドアーキテクチャダイアグラムを作成したい場合は最適な選択です。
|
||||
|
||||
|
||||
## 仕組み
|
||||
@@ -247,27 +227,11 @@ AWS BedrockとOpenRouter以外のすべてのプロバイダーはカスタム
|
||||
|
||||
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
|
||||
|
||||
**デモサイトのAPIトークン使用を支援してくださった[ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)に特別な感謝を申し上げます!** ARKプラットフォームに登録すると、50万トークンが無料でもらえます!
|
||||
|
||||
このプロジェクトが役に立ったら、ライブデモサイトのホスティングを支援するために[スポンサー](https://github.com/sponsors/DayuanJiang)をご検討ください!
|
||||
|
||||
サポートやお問い合わせについては、GitHubリポジトリでissueを開くか、メンテナーにご連絡ください:
|
||||
236
docs/ja/ai-providers.md
Normal file
236
docs/ja/ai-providers.md
Normal file
@@ -0,0 +1,236 @@
|
||||
# AIプロバイダーの設定
|
||||
|
||||
このガイドでは、next-ai-draw-io でさまざまな AI モデルプロバイダーを設定する方法について説明します。
|
||||
|
||||
## クイックスタート
|
||||
|
||||
1. `.env.example` を `.env.local` にコピーします
|
||||
2. 選択したプロバイダーの API キーを設定します
|
||||
3. `AI_MODEL` を希望のモデルに設定します
|
||||
4. `npm run dev` を実行します
|
||||
|
||||
## 対応プロバイダー
|
||||
|
||||
### Doubao (ByteDance Volcengine)
|
||||
|
||||
> **無料トークン**: [Volcengine ARK プラットフォーム](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)に登録すると、すべてのモデルで使える50万トークンが無料で入手できます!
|
||||
|
||||
```bash
|
||||
DOUBAO_API_KEY=your_api_key
|
||||
AI_MODEL=doubao-seed-1-8-251215 # または他の Doubao モデル
|
||||
```
|
||||
|
||||
### Google Gemini
|
||||
|
||||
```bash
|
||||
GOOGLE_GENERATIVE_AI_API_KEY=your_api_key
|
||||
AI_MODEL=gemini-2.0-flash
|
||||
```
|
||||
|
||||
任意のカスタムエンドポイント:
|
||||
|
||||
```bash
|
||||
GOOGLE_BASE_URL=https://your-custom-endpoint
|
||||
```
|
||||
|
||||
### OpenAI
|
||||
|
||||
```bash
|
||||
OPENAI_API_KEY=your_api_key
|
||||
AI_MODEL=gpt-4o
|
||||
```
|
||||
|
||||
任意のカスタムエンドポイント(OpenAI 互換サービス用):
|
||||
|
||||
```bash
|
||||
OPENAI_BASE_URL=https://your-custom-endpoint/v1
|
||||
```
|
||||
|
||||
### Anthropic
|
||||
|
||||
```bash
|
||||
ANTHROPIC_API_KEY=your_api_key
|
||||
AI_MODEL=claude-sonnet-4-5-20250514
|
||||
```
|
||||
|
||||
任意のカスタムエンドポイント:
|
||||
|
||||
```bash
|
||||
ANTHROPIC_BASE_URL=https://your-custom-endpoint
|
||||
```
|
||||
|
||||
### DeepSeek
|
||||
|
||||
```bash
|
||||
DEEPSEEK_API_KEY=your_api_key
|
||||
AI_MODEL=deepseek-chat
|
||||
```
|
||||
|
||||
任意のカスタムエンドポイント:
|
||||
|
||||
```bash
|
||||
DEEPSEEK_BASE_URL=https://your-custom-endpoint
|
||||
```
|
||||
|
||||
### SiliconFlow (OpenAI 互換)
|
||||
|
||||
```bash
|
||||
SILICONFLOW_API_KEY=your_api_key
|
||||
AI_MODEL=deepseek-ai/DeepSeek-V3 # 例; 任意の SiliconFlow モデル ID を使用
|
||||
```
|
||||
|
||||
任意のカスタムエンドポイント(デフォルトは推奨ドメイン):
|
||||
|
||||
```bash
|
||||
SILICONFLOW_BASE_URL=https://api.siliconflow.com/v1 # または https://api.siliconflow.cn/v1
|
||||
```
|
||||
|
||||
### SGLang
|
||||
|
||||
```bash
|
||||
SGLANG_API_KEY=your_api_key
|
||||
AI_MODEL=your_model_id
|
||||
```
|
||||
|
||||
任意のカスタムエンドポイント:
|
||||
|
||||
```bash
|
||||
SGLANG_BASE_URL=https://your-custom-endpoint/v1
|
||||
```
|
||||
|
||||
### Azure OpenAI
|
||||
|
||||
```bash
|
||||
AZURE_API_KEY=your_api_key
|
||||
AZURE_RESOURCE_NAME=your-resource-name # 必須: Azure リソース名
|
||||
AI_MODEL=your-deployment-name
|
||||
```
|
||||
|
||||
またはリソース名の代わりにカスタムエンドポイントを使用:
|
||||
|
||||
```bash
|
||||
AZURE_API_KEY=your_api_key
|
||||
AZURE_BASE_URL=https://your-resource.openai.azure.com # AZURE_RESOURCE_NAME の代替
|
||||
AI_MODEL=your-deployment-name
|
||||
```
|
||||
|
||||
任意の推論設定:
|
||||
|
||||
```bash
|
||||
AZURE_REASONING_EFFORT=low # 任意: low, medium, high
|
||||
AZURE_REASONING_SUMMARY=detailed # 任意: none, brief, detailed
|
||||
```
|
||||
|
||||
### AWS Bedrock
|
||||
|
||||
```bash
|
||||
AWS_REGION=us-west-2
|
||||
AWS_ACCESS_KEY_ID=your_access_key_id
|
||||
AWS_SECRET_ACCESS_KEY=your_secret_access_key
|
||||
AI_MODEL=anthropic.claude-sonnet-4-5-20250514-v1:0
|
||||
```
|
||||
|
||||
注: AWS 上(IAM ロールを持つ Lambda や EC2)では、認証情報は IAM ロールから自動的に取得されます。
|
||||
|
||||
### OpenRouter
|
||||
|
||||
```bash
|
||||
OPENROUTER_API_KEY=your_api_key
|
||||
AI_MODEL=anthropic/claude-sonnet-4
|
||||
```
|
||||
|
||||
任意のカスタムエンドポイント:
|
||||
|
||||
```bash
|
||||
OPENROUTER_BASE_URL=https://your-custom-endpoint
|
||||
```
|
||||
|
||||
### Ollama (ローカル)
|
||||
|
||||
```bash
|
||||
AI_PROVIDER=ollama
|
||||
AI_MODEL=llama3.2
|
||||
```
|
||||
|
||||
任意のカスタム URL:
|
||||
|
||||
```bash
|
||||
OLLAMA_BASE_URL=http://localhost:11434
|
||||
```
|
||||
|
||||
### Vercel AI Gateway
|
||||
|
||||
Vercel AI Gateway は、単一の API キーで複数の AI プロバイダーへの統合アクセスを提供します。これにより認証が簡素化され、複数の API キーを管理することなくプロバイダーを切り替えることができます。
|
||||
|
||||
**基本的な使用法 (Vercel ホストの Gateway):**
|
||||
|
||||
```bash
|
||||
AI_GATEWAY_API_KEY=your_gateway_api_key
|
||||
AI_MODEL=openai/gpt-4o
|
||||
```
|
||||
|
||||
**カスタム Gateway URL (ローカル開発またはセルフホスト Gateway 用):**
|
||||
|
||||
```bash
|
||||
AI_GATEWAY_API_KEY=your_custom_api_key
|
||||
AI_GATEWAY_BASE_URL=https://your-custom-gateway.com/v1/ai
|
||||
AI_MODEL=openai/gpt-4o
|
||||
```
|
||||
|
||||
モデル形式は `provider/model` 構文を使用します:
|
||||
|
||||
- `openai/gpt-4o` - OpenAI GPT-4o
|
||||
- `anthropic/claude-sonnet-4-5` - Anthropic Claude Sonnet 4.5
|
||||
- `google/gemini-2.0-flash` - Google Gemini 2.0 Flash
|
||||
|
||||
**設定に関する注意点:**
|
||||
|
||||
- `AI_GATEWAY_BASE_URL` が設定されていない場合、デフォルトの Vercel Gateway URL (`https://ai-gateway.vercel.sh/v1/ai`) が使用されます
|
||||
- カスタムベース URL は以下の場合に便利です:
|
||||
- カスタム Gateway インスタンスを使用したローカル開発
|
||||
- セルフホスト AI Gateway デプロイメント
|
||||
- エンタープライズプロキシ設定
|
||||
- カスタムベース URL を使用する場合、`AI_GATEWAY_API_KEY` も指定する必要があります
|
||||
|
||||
[Vercel AI Gateway ダッシュボード](https://vercel.com/ai-gateway)から API キーを取得してください。
|
||||
|
||||
## 自動検出
|
||||
|
||||
**1つ**のプロバイダーの API キーのみを設定した場合、システムはそのプロバイダーを自動的に検出して使用します。`AI_PROVIDER` を設定する必要はありません。
|
||||
|
||||
**複数**の API キーを設定する場合は、`AI_PROVIDER` を明示的に設定する必要があります:
|
||||
|
||||
```bash
|
||||
AI_PROVIDER=google # または: openai, anthropic, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang
|
||||
```
|
||||
|
||||
## モデル性能要件
|
||||
|
||||
このタスクは、厳密なフォーマット制約(draw.io XML)を伴う長文テキストの生成を含むため、非常に強力なモデル性能が必要です。
|
||||
|
||||
**推奨モデル**:
|
||||
|
||||
- Claude Sonnet 4.5 / Opus 4.5
|
||||
|
||||
**Ollama に関する注意**: Ollama はプロバイダーとしてサポートされていますが、DeepSeek R1 や Qwen3-235B のような高性能モデルをローカルで実行していない限り、このユースケースでは一般的に実用的ではありません。
|
||||
|
||||
## Temperature(温度)設定
|
||||
|
||||
環境変数で Temperature を任意に設定できます:
|
||||
|
||||
```bash
|
||||
TEMPERATURE=0 # より決定論的な出力(ダイアグラムに推奨)
|
||||
```
|
||||
|
||||
**重要**: 以下の Temperature 設定をサポートしていないモデルでは、`TEMPERATURE` を未設定のままにしてください:
|
||||
- GPT-5.1 およびその他の推論モデル
|
||||
- 一部の特殊なモデル
|
||||
|
||||
未設定の場合、モデルはデフォルトの挙動を使用します。
|
||||
|
||||
## 推奨事項
|
||||
|
||||
- **最高の体験**: 画像からダイアグラムを生成する機能には、ビジョン(画像認識)をサポートするモデル(GPT-4o, Claude, Gemini)を使用してください
|
||||
- **低コスト**: DeepSeek は競争力のある価格を提供しています
|
||||
- **プライバシー**: 完全にローカルなオフライン操作には Ollama を使用してください(強力なハードウェアが必要です)
|
||||
- **柔軟性**: OpenRouter は単一の API で多数のモデルへのアクセスを提供します
|
||||
267
docs/ja/cloudflare-deploy.md
Normal file
267
docs/ja/cloudflare-deploy.md
Normal file
@@ -0,0 +1,267 @@
|
||||
# Cloudflare Workers へのデプロイ
|
||||
|
||||
このプロジェクトは **OpenNext アダプター** を使用して **Cloudflare Worker** としてデプロイすることができ、以下のメリットがあります:
|
||||
|
||||
- グローバルエッジへのデプロイ
|
||||
- 超低レイテンシー
|
||||
- 無料の `workers.dev` ホスティング
|
||||
- R2 を介した完全な Next.js ISR サポート(オプション)
|
||||
|
||||
> **Windows ユーザー向けの重要な注意:** OpenNext と Wrangler は、**ネイティブ Windows 環境では完全には信頼できません**。以下の方法を推奨します:
|
||||
>
|
||||
> - **GitHub Codespaces** を使用する(完全に動作します)
|
||||
> - または **WSL (Linux)** を使用する
|
||||
>
|
||||
> 純粋な Windows 環境でのビルドは、WASM ファイルパスの問題により失敗する可能性があります。
|
||||
|
||||
---
|
||||
|
||||
## 前提条件
|
||||
|
||||
1. **Cloudflare アカウント**(基本的なデプロイには無料プランで十分です)
|
||||
2. **Node.js 18以上**
|
||||
3. **Wrangler CLI** のインストール(開発依存関係で問題ありません):
|
||||
|
||||
```bash
|
||||
npm install -D wrangler
|
||||
```
|
||||
|
||||
4. Cloudflare へのログイン:
|
||||
|
||||
```bash
|
||||
npx wrangler login
|
||||
```
|
||||
|
||||
> **注意:** 支払い方法の登録が必要なのは、ISR キャッシュのために R2 を有効にする場合のみです。基本的な Workers へのデプロイは無料です。
|
||||
|
||||
---
|
||||
|
||||
## ステップ 1 — 依存関係のインストール
|
||||
|
||||
```bash
|
||||
npm install
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## ステップ 2 — 環境変数の設定
|
||||
|
||||
Cloudflare はローカルテスト用に別のファイルを使用します。
|
||||
|
||||
### 1) `.dev.vars` の作成(Cloudflare ローカルおよびデプロイ用)
|
||||
|
||||
```bash
|
||||
cp env.example .dev.vars
|
||||
```
|
||||
|
||||
API キーと設定を入力してください。
|
||||
|
||||
### 2) `.env.local` も存在することを確認(通常の Next.js 開発用)
|
||||
|
||||
```bash
|
||||
cp env.example .env.local
|
||||
```
|
||||
|
||||
同じ値を入力してください。
|
||||
|
||||
---
|
||||
|
||||
## ステップ 3 — デプロイタイプの選択
|
||||
|
||||
### オプション A: R2 なしでのデプロイ(シンプル、無料)
|
||||
|
||||
ISR キャッシュが不要な場合は、R2 なしでデプロイできます:
|
||||
|
||||
**1. シンプルな `open-next.config.ts` を使用:**
|
||||
|
||||
```ts
|
||||
import { defineCloudflareConfig } from "@opennextjs/cloudflare/config"
|
||||
|
||||
export default defineCloudflareConfig({})
|
||||
```
|
||||
|
||||
**2. シンプルな `wrangler.jsonc` を使用(r2_buckets なし):**
|
||||
|
||||
```jsonc
|
||||
{
|
||||
"$schema": "node_modules/wrangler/config-schema.json",
|
||||
"main": ".open-next/worker.js",
|
||||
"name": "next-ai-draw-io-worker",
|
||||
"compatibility_date": "2025-12-08",
|
||||
"compatibility_flags": ["nodejs_compat", "global_fetch_strictly_public"],
|
||||
"assets": {
|
||||
"directory": ".open-next/assets",
|
||||
"binding": "ASSETS"
|
||||
},
|
||||
"services": [
|
||||
{
|
||||
"binding": "WORKER_SELF_REFERENCE",
|
||||
"service": "next-ai-draw-io-worker"
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
**ステップ 4** へ進んでください。
|
||||
|
||||
---
|
||||
|
||||
### オプション B: R2 ありでのデプロイ(完全な ISR サポート)
|
||||
|
||||
R2 を使用すると **Incremental Static Regeneration (ISR)** キャッシュが有効になります。これには Cloudflare アカウントに支払い方法の登録が必要です。
|
||||
|
||||
**1. R2 バケットの作成**(Cloudflare ダッシュボードにて):
|
||||
|
||||
- **Storage & Databases → R2** へ移動
|
||||
- **Create bucket** をクリック
|
||||
- 名前を入力: `next-inc-cache`
|
||||
|
||||
**2. `open-next.config.ts` の設定:**
|
||||
|
||||
```ts
|
||||
import { defineCloudflareConfig } from "@opennextjs/cloudflare/config"
|
||||
import r2IncrementalCache from "@opennextjs/cloudflare/overrides/incremental-cache/r2-incremental-cache"
|
||||
|
||||
export default defineCloudflareConfig({
|
||||
incrementalCache: r2IncrementalCache,
|
||||
})
|
||||
```
|
||||
|
||||
**3. `wrangler.jsonc` の設定(R2 あり):**
|
||||
|
||||
```jsonc
|
||||
{
|
||||
"$schema": "node_modules/wrangler/config-schema.json",
|
||||
"main": ".open-next/worker.js",
|
||||
"name": "next-ai-draw-io-worker",
|
||||
"compatibility_date": "2025-12-08",
|
||||
"compatibility_flags": ["nodejs_compat", "global_fetch_strictly_public"],
|
||||
"assets": {
|
||||
"directory": ".open-next/assets",
|
||||
"binding": "ASSETS"
|
||||
},
|
||||
"r2_buckets": [
|
||||
{
|
||||
"binding": "NEXT_INC_CACHE_R2_BUCKET",
|
||||
"bucket_name": "next-inc-cache"
|
||||
}
|
||||
],
|
||||
"services": [
|
||||
{
|
||||
"binding": "WORKER_SELF_REFERENCE",
|
||||
"service": "next-ai-draw-io-worker"
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
> **重要:** `bucket_name` は Cloudflare ダッシュボードで作成した名前と完全に一致させる必要があります。
|
||||
|
||||
---
|
||||
|
||||
## ステップ 4 — workers.dev サブドメインの登録(初回のみ)
|
||||
|
||||
初回デプロイの前に、workers.dev サブドメインが必要です。
|
||||
|
||||
**オプション 1: Cloudflare ダッシュボード経由(推奨)**
|
||||
|
||||
アクセス先: https://dash.cloudflare.com → Workers & Pages → Overview → Set up a subdomain
|
||||
|
||||
**オプション 2: デプロイ時**
|
||||
|
||||
`npm run deploy` を実行した際、Wrangler が以下のように尋ねてくる場合があります:
|
||||
|
||||
```
|
||||
Would you like to register a workers.dev subdomain? (Y/n)
|
||||
```
|
||||
|
||||
`Y` を入力し、サブドメイン名を選択してください。
|
||||
|
||||
> **注意:** CI/CD や非対話型環境では、このプロンプトは表示されません。事前にダッシュボードで登録してください。
|
||||
|
||||
---
|
||||
|
||||
## ステップ 5 — Cloudflare へのデプロイ
|
||||
|
||||
```bash
|
||||
npm run deploy
|
||||
```
|
||||
|
||||
スクリプトの処理内容:
|
||||
|
||||
- Next.js アプリのビルド
|
||||
- OpenNext を介した Cloudflare Worker への変換
|
||||
- 静的アセットのアップロード
|
||||
- Worker の公開
|
||||
|
||||
アプリは以下の URL で利用可能になります:
|
||||
|
||||
```
|
||||
https://<worker-name>.<your-subdomain>.workers.dev
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## よくある問題と解決策
|
||||
|
||||
### `You need to register a workers.dev subdomain`
|
||||
|
||||
**原因:** アカウントに workers.dev サブドメインが登録されていません。
|
||||
|
||||
**解決策:** https://dash.cloudflare.com → Workers & Pages → Set up a subdomain から登録してください。
|
||||
|
||||
---
|
||||
|
||||
### `Please enable R2 through the Cloudflare Dashboard`
|
||||
|
||||
**原因:** `wrangler.jsonc` で R2 が設定されていますが、アカウントで R2 が有効になっていません。
|
||||
|
||||
**解決策:** R2 を有効にする(支払い方法が必要)か、オプション A(R2 なしでデプロイ)を使用してください。
|
||||
|
||||
---
|
||||
|
||||
### `No R2 binding "NEXT_INC_CACHE_R2_BUCKET" found`
|
||||
|
||||
**原因:** `wrangler.jsonc` に `r2_buckets` がありません。
|
||||
|
||||
**解決策:** `r2_buckets` セクションを追加するか、オプション A(R2 なし)に切り替えてください。
|
||||
|
||||
---
|
||||
|
||||
### `Can't set compatibility date in the future`
|
||||
|
||||
**原因:** wrangler 設定の `compatibility_date` が未来の日付に設定されています。
|
||||
|
||||
**解決策:** `compatibility_date` を今日またはそれ以前の日付に変更してください。
|
||||
|
||||
---
|
||||
|
||||
### Windows エラー: `resvg.wasm?module` (ENOENT)
|
||||
|
||||
**原因:** Windows のファイル名には `?` を含めることができませんが、wasm アセットのファイル名に `?module` が使用されているためです。
|
||||
|
||||
**解決策:** Linux 環境(WSL、Codespaces、または CI)でビルド/デプロイしてください。
|
||||
|
||||
---
|
||||
|
||||
## オプション: ローカルでのプレビュー
|
||||
|
||||
デプロイ前に Worker をローカルでプレビューできます:
|
||||
|
||||
```bash
|
||||
npm run preview
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## まとめ
|
||||
|
||||
| 機能 | R2 なし | R2 あり |
|
||||
|---------|------------|---------|
|
||||
| コスト | 無料 | 支払い方法が必要 |
|
||||
| ISR キャッシュ | なし | あり |
|
||||
| 静的ページ | あり | あり |
|
||||
| API ルート | あり | あり |
|
||||
| 設定の複雑さ | シンプル | 普通 |
|
||||
|
||||
テストやシンプルなアプリには **R2 なし** を選んでください。ISR キャッシュが必要な本番アプリには **R2 あり** を選んでください。
|
||||
29
docs/ja/docker.md
Normal file
29
docs/ja/docker.md
Normal file
@@ -0,0 +1,29 @@
|
||||
# Dockerで実行する
|
||||
|
||||
ローカルで実行したいだけであれば、Dockerを使用するのが最も良い方法です。
|
||||
|
||||
まず、Dockerがまだインストールされていない場合はインストールしてください: [Dockerを入手](https://docs.docker.com/get-docker/)
|
||||
|
||||
次に、以下を実行します。
|
||||
|
||||
```bash
|
||||
docker run -d -p 3000:3000 \
|
||||
-e AI_PROVIDER=openai \
|
||||
-e AI_MODEL=gpt-4o \
|
||||
-e OPENAI_API_KEY=your_api_key \
|
||||
ghcr.io/dayuanjiang/next-ai-draw-io:latest
|
||||
```
|
||||
|
||||
または、envファイルを使用します。
|
||||
|
||||
```bash
|
||||
cp env.example .env
|
||||
# .envを構成に合わせて編集します
|
||||
docker run -d -p 3000:3000 --env-file .env ghcr.io/dayuanjiang/next-ai-draw-io:latest
|
||||
```
|
||||
|
||||
ブラウザで[http://localhost:3000](http://localhost:3000)を開きます。
|
||||
|
||||
環境変数は、お好みのAIプロバイダー設定に置き換えてください。利用可能なオプションについては、[AIプロバイダー](./ai-providers.md)を参照してください。
|
||||
|
||||
> **オフラインデプロイ:** `embed.diagrams.net`がブロックされている場合は、構成オプションについて[オフラインデプロイ](./offline-deployment.md)を参照してください。
|
||||
38
docs/ja/offline-deployment.md
Normal file
38
docs/ja/offline-deployment.md
Normal file
@@ -0,0 +1,38 @@
|
||||
# オフラインデプロイ
|
||||
|
||||
`embed.diagrams.net` の代わりに draw.io をセルフホストすることで、Next AI Draw.io をオフライン環境にデプロイできます。
|
||||
|
||||
**注:** `NEXT_PUBLIC_DRAWIO_BASE_URL` は**ビルド時**の変数です。これを変更する場合は、Docker イメージの再ビルドが必要です。
|
||||
|
||||
## Docker Compose のセットアップ
|
||||
|
||||
1. リポジトリをクローンし、`.env` ファイルに API キーを定義します。
|
||||
2. `docker-compose.yml` を作成します。
|
||||
|
||||
```yaml
|
||||
services:
|
||||
drawio:
|
||||
image: jgraph/drawio:latest
|
||||
ports: ["8080:8080"]
|
||||
next-ai-draw-io:
|
||||
build:
|
||||
context: .
|
||||
args:
|
||||
- NEXT_PUBLIC_DRAWIO_BASE_URL=http://localhost:8080
|
||||
ports: ["3000:3000"]
|
||||
env_file: .env
|
||||
depends_on: [drawio]
|
||||
```
|
||||
|
||||
3. `docker compose up -d` を実行し、`http://localhost:3000` にアクセスします。
|
||||
|
||||
## 設定と重要な警告
|
||||
|
||||
**`NEXT_PUBLIC_DRAWIO_BASE_URL` は、ユーザーのブラウザからアクセスできる必要があります。**
|
||||
|
||||
| シナリオ | URL の値 |
|
||||
|----------|-----------|
|
||||
| ローカルホスト | `http://localhost:8080` |
|
||||
| リモート/サーバー | `http://YOUR_SERVER_IP:8080` |
|
||||
|
||||
**`http://drawio:8080` のような Docker 内部のエイリアスは絶対に使用しないでください。** ブラウザはこれらを名前解決できません。
|
||||
270
edge-functions/api/edgeai/chat/completions.ts
Normal file
270
edge-functions/api/edgeai/chat/completions.ts
Normal file
@@ -0,0 +1,270 @@
|
||||
/**
|
||||
* EdgeOne Pages Edge Function for OpenAI-compatible Chat Completions API
|
||||
*
|
||||
* This endpoint provides an OpenAI-compatible API that can be used with
|
||||
* AI SDK's createOpenAI({ baseURL: '/api/edgeai' })
|
||||
*
|
||||
* Uses EdgeOne Edge AI's AI.chatCompletions() which now supports native tool calling.
|
||||
*/
|
||||
|
||||
import { z } from "zod"
|
||||
|
||||
// EdgeOne Pages global AI object
|
||||
declare const AI: {
|
||||
chatCompletions(options: {
|
||||
model: string
|
||||
messages: Array<{ role: string; content: string | null }>
|
||||
stream?: boolean
|
||||
max_tokens?: number
|
||||
temperature?: number
|
||||
tools?: any
|
||||
tool_choice?: any
|
||||
}): Promise<ReadableStream<Uint8Array> | any>
|
||||
}
|
||||
|
||||
const messageItemSchema = z
|
||||
.object({
|
||||
role: z.enum(["user", "assistant", "system", "tool", "function"]),
|
||||
content: z.string().nullable().optional(),
|
||||
})
|
||||
.passthrough()
|
||||
|
||||
const messageSchema = z
|
||||
.object({
|
||||
messages: z.array(messageItemSchema),
|
||||
model: z.string().optional(),
|
||||
stream: z.boolean().optional(),
|
||||
tools: z.any().optional(),
|
||||
tool_choice: z.any().optional(),
|
||||
functions: z.any().optional(),
|
||||
function_call: z.any().optional(),
|
||||
temperature: z.number().optional(),
|
||||
top_p: z.number().optional(),
|
||||
max_tokens: z.number().optional(),
|
||||
presence_penalty: z.number().optional(),
|
||||
frequency_penalty: z.number().optional(),
|
||||
stop: z.union([z.string(), z.array(z.string())]).optional(),
|
||||
response_format: z.any().optional(),
|
||||
seed: z.number().optional(),
|
||||
user: z.string().optional(),
|
||||
n: z.number().int().optional(),
|
||||
logit_bias: z.record(z.string(), z.number()).optional(),
|
||||
parallel_tool_calls: z.boolean().optional(),
|
||||
stream_options: z.any().optional(),
|
||||
})
|
||||
.passthrough()
|
||||
|
||||
// Model configuration
|
||||
const ALLOWED_MODELS = [
|
||||
"@tx/deepseek-ai/deepseek-v32",
|
||||
"@tx/deepseek-ai/deepseek-r1-0528",
|
||||
"@tx/deepseek-ai/deepseek-v3-0324",
|
||||
]
|
||||
|
||||
const MODEL_ALIASES: Record<string, string> = {
|
||||
"deepseek-v3.2": "@tx/deepseek-ai/deepseek-v32",
|
||||
"deepseek-r1-0528": "@tx/deepseek-ai/deepseek-r1-0528",
|
||||
"deepseek-v3-0324": "@tx/deepseek-ai/deepseek-v3-0324",
|
||||
}
|
||||
|
||||
const CORS_HEADERS = {
|
||||
"Access-Control-Allow-Origin": "*",
|
||||
"Access-Control-Allow-Methods": "POST, OPTIONS",
|
||||
"Access-Control-Allow-Headers": "Content-Type, Authorization",
|
||||
}
|
||||
|
||||
/**
|
||||
* Create standardized response with CORS headers
|
||||
*/
|
||||
function createResponse(body: any, status = 200, extraHeaders = {}): Response {
|
||||
return new Response(JSON.stringify(body), {
|
||||
status,
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
...CORS_HEADERS,
|
||||
...extraHeaders,
|
||||
},
|
||||
})
|
||||
}
|
||||
|
||||
/**
|
||||
* Handle OPTIONS request for CORS preflight
|
||||
*/
|
||||
function handleOptionsRequest(): Response {
|
||||
return new Response(null, {
|
||||
headers: {
|
||||
...CORS_HEADERS,
|
||||
"Access-Control-Max-Age": "86400",
|
||||
},
|
||||
})
|
||||
}
|
||||
|
||||
export async function onRequest({ request, env }: any) {
|
||||
if (request.method === "OPTIONS") {
|
||||
return handleOptionsRequest()
|
||||
}
|
||||
|
||||
request.headers.delete("accept-encoding")
|
||||
|
||||
try {
|
||||
const json = await request.clone().json()
|
||||
const parseResult = messageSchema.safeParse(json)
|
||||
|
||||
if (!parseResult.success) {
|
||||
return createResponse(
|
||||
{
|
||||
error: {
|
||||
message: parseResult.error.message,
|
||||
type: "invalid_request_error",
|
||||
},
|
||||
},
|
||||
400,
|
||||
)
|
||||
}
|
||||
|
||||
const { messages, model, stream, tools, tool_choice, ...extraParams } =
|
||||
parseResult.data
|
||||
|
||||
// Validate messages
|
||||
const userMessages = messages.filter(
|
||||
(message) => message.role === "user",
|
||||
)
|
||||
if (!userMessages.length) {
|
||||
return createResponse(
|
||||
{
|
||||
error: {
|
||||
message: "No user message found",
|
||||
type: "invalid_request_error",
|
||||
},
|
||||
},
|
||||
400,
|
||||
)
|
||||
}
|
||||
|
||||
// Resolve model
|
||||
const requestedModel = model || ALLOWED_MODELS[0]
|
||||
const selectedModel = MODEL_ALIASES[requestedModel] || requestedModel
|
||||
|
||||
if (!ALLOWED_MODELS.includes(selectedModel)) {
|
||||
return createResponse(
|
||||
{
|
||||
error: {
|
||||
message: `Invalid model: ${requestedModel}.`,
|
||||
type: "invalid_request_error",
|
||||
},
|
||||
},
|
||||
429,
|
||||
)
|
||||
}
|
||||
|
||||
console.log(
|
||||
`[EdgeOne] Model: ${selectedModel}, Tools: ${tools?.length || 0}, Stream: ${stream ?? true}`,
|
||||
)
|
||||
|
||||
try {
|
||||
const isStream = !!stream
|
||||
|
||||
// Non-streaming: return mock response for validation
|
||||
// AI.chatCompletions doesn't support non-streaming mode
|
||||
if (!isStream) {
|
||||
const mockResponse = {
|
||||
id: `chatcmpl-${Date.now()}`,
|
||||
object: "chat.completion",
|
||||
created: Math.floor(Date.now() / 1000),
|
||||
model: selectedModel,
|
||||
choices: [
|
||||
{
|
||||
index: 0,
|
||||
message: {
|
||||
role: "assistant",
|
||||
content: "OK",
|
||||
},
|
||||
finish_reason: "stop",
|
||||
},
|
||||
],
|
||||
usage: {
|
||||
prompt_tokens: 10,
|
||||
completion_tokens: 1,
|
||||
total_tokens: 11,
|
||||
},
|
||||
}
|
||||
return createResponse(mockResponse)
|
||||
}
|
||||
|
||||
// Build AI.chatCompletions options for streaming
|
||||
const aiOptions: any = {
|
||||
...extraParams,
|
||||
model: selectedModel,
|
||||
messages,
|
||||
stream: true,
|
||||
}
|
||||
|
||||
// Add tools if provided
|
||||
if (tools && tools.length > 0) {
|
||||
aiOptions.tools = tools
|
||||
}
|
||||
if (tool_choice !== undefined) {
|
||||
aiOptions.tool_choice = tool_choice
|
||||
}
|
||||
|
||||
const aiResponse = await AI.chatCompletions(aiOptions)
|
||||
|
||||
// Streaming response
|
||||
return new Response(aiResponse, {
|
||||
headers: {
|
||||
"Content-Type": "text/event-stream; charset=utf-8",
|
||||
"Cache-Control": "no-cache, no-store, no-transform",
|
||||
"X-Accel-Buffering": "no",
|
||||
Connection: "keep-alive",
|
||||
...CORS_HEADERS,
|
||||
},
|
||||
})
|
||||
} catch (error: any) {
|
||||
// Handle EdgeOne specific errors
|
||||
try {
|
||||
const message = JSON.parse(error.message)
|
||||
if (message.code === 14020) {
|
||||
return createResponse(
|
||||
{
|
||||
error: {
|
||||
message:
|
||||
"The daily public quota has been exhausted. After deployment, you can enjoy a personal daily exclusive quota.",
|
||||
type: "rate_limit_error",
|
||||
},
|
||||
},
|
||||
429,
|
||||
)
|
||||
}
|
||||
return createResponse(
|
||||
{ error: { message: error.message, type: "api_error" } },
|
||||
500,
|
||||
)
|
||||
} catch {
|
||||
// Not a JSON error message
|
||||
}
|
||||
|
||||
console.error("[EdgeOne] AI error:", error.message)
|
||||
return createResponse(
|
||||
{
|
||||
error: {
|
||||
message: error.message || "AI service error",
|
||||
type: "api_error",
|
||||
},
|
||||
},
|
||||
500,
|
||||
)
|
||||
}
|
||||
} catch (error: any) {
|
||||
console.error("[EdgeOne] Request error:", error.message)
|
||||
return createResponse(
|
||||
{
|
||||
error: {
|
||||
message: "Request processing failed",
|
||||
type: "server_error",
|
||||
details: error.message,
|
||||
},
|
||||
},
|
||||
500,
|
||||
)
|
||||
}
|
||||
}
|
||||
5
edgeone.json
Normal file
5
edgeone.json
Normal file
@@ -0,0 +1,5 @@
|
||||
{
|
||||
"nodeFunctionsConfig": {
|
||||
"maxDuration": 120
|
||||
}
|
||||
}
|
||||
0
electron.d.ts → electron/electron.d.ts
vendored
0
electron.d.ts → electron/electron.d.ts
vendored
@@ -72,6 +72,10 @@ AI_MODEL=global.anthropic.claude-sonnet-4-5-20250929-v1:0
|
||||
# SGLANG_API_KEY=your-sglang-api-key
|
||||
# SGLANG_BASE_URL=http://127.0.0.1:8000/v1 # Your SGLang endpoint
|
||||
|
||||
# ByteDance Doubao Configuration (via Volcengine)
|
||||
# DOUBAO_API_KEY=your-doubao-api-key
|
||||
# DOUBAO_BASE_URL=https://ark.cn-beijing.volces.com/api/v3 # ByteDance Volcengine endpoint
|
||||
|
||||
# Vercel AI Gateway Configuration
|
||||
# Get your API key from: https://vercel.com/ai-gateway
|
||||
# Model format: "provider/model" e.g., "openai/gpt-4o", "anthropic/claude-sonnet-4-5"
|
||||
|
||||
@@ -21,6 +21,8 @@ export type ProviderName =
|
||||
| "siliconflow"
|
||||
| "sglang"
|
||||
| "gateway"
|
||||
| "edgeone"
|
||||
| "doubao"
|
||||
|
||||
interface ModelConfig {
|
||||
model: any
|
||||
@@ -39,6 +41,8 @@ export interface ClientOverrides {
|
||||
awsSecretAccessKey?: string | null
|
||||
awsRegion?: string | null
|
||||
awsSessionToken?: string | null
|
||||
// Custom headers (e.g., for EdgeOne cookie auth)
|
||||
headers?: Record<string, string>
|
||||
}
|
||||
|
||||
// Providers that can be used with client-provided API keys
|
||||
@@ -53,6 +57,8 @@ const ALLOWED_CLIENT_PROVIDERS: ProviderName[] = [
|
||||
"siliconflow",
|
||||
"sglang",
|
||||
"gateway",
|
||||
"edgeone",
|
||||
"doubao",
|
||||
]
|
||||
|
||||
// Bedrock provider options for Anthropic beta features
|
||||
@@ -346,7 +352,8 @@ function buildProviderOptions(
|
||||
case "openrouter":
|
||||
case "siliconflow":
|
||||
case "sglang":
|
||||
case "gateway": {
|
||||
case "gateway":
|
||||
case "doubao": {
|
||||
// These providers don't have reasoning configs in AI SDK yet
|
||||
// Gateway passes through to underlying providers which handle their own configs
|
||||
break
|
||||
@@ -372,6 +379,8 @@ const PROVIDER_ENV_VARS: Record<ProviderName, string | null> = {
|
||||
siliconflow: "SILICONFLOW_API_KEY",
|
||||
sglang: "SGLANG_API_KEY",
|
||||
gateway: "AI_GATEWAY_API_KEY",
|
||||
edgeone: null, // No credentials needed - uses EdgeOne Edge AI
|
||||
doubao: "DOUBAO_API_KEY",
|
||||
}
|
||||
|
||||
/**
|
||||
@@ -459,7 +468,12 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
|
||||
// SECURITY: Prevent SSRF attacks (GHSA-9qf7-mprq-9qgm)
|
||||
// If a custom baseUrl is provided, an API key MUST also be provided.
|
||||
// This prevents attackers from redirecting server API keys to malicious endpoints.
|
||||
if (overrides?.baseUrl && !overrides?.apiKey) {
|
||||
// Exception: EdgeOne provider doesn't require API key (uses Edge AI runtime)
|
||||
if (
|
||||
overrides?.baseUrl &&
|
||||
!overrides?.apiKey &&
|
||||
overrides?.provider !== "edgeone"
|
||||
) {
|
||||
throw new Error(
|
||||
`API key is required when using a custom base URL. ` +
|
||||
`Please provide your own API key in Settings.`,
|
||||
@@ -836,9 +850,38 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
|
||||
break
|
||||
}
|
||||
|
||||
case "edgeone": {
|
||||
// EdgeOne Pages Edge AI - uses OpenAI-compatible API
|
||||
// AI SDK appends /chat/completions to baseURL
|
||||
// /api/edgeai + /chat/completions = /api/edgeai/chat/completions
|
||||
const baseURL = overrides?.baseUrl || "/api/edgeai"
|
||||
const edgeoneProvider = createOpenAI({
|
||||
apiKey: "edgeone", // Dummy key - EdgeOne doesn't require API key
|
||||
baseURL,
|
||||
// Pass cookies for EdgeOne Pages authentication (eo_token, eo_time)
|
||||
...(overrides?.headers && { headers: overrides.headers }),
|
||||
})
|
||||
model = edgeoneProvider.chat(modelId)
|
||||
break
|
||||
}
|
||||
|
||||
case "doubao": {
|
||||
const apiKey = overrides?.apiKey || process.env.DOUBAO_API_KEY
|
||||
const baseURL =
|
||||
overrides?.baseUrl ||
|
||||
process.env.DOUBAO_BASE_URL ||
|
||||
"https://ark.cn-beijing.volces.com/api/v3"
|
||||
const doubaoProvider = createDeepSeek({
|
||||
apiKey,
|
||||
baseURL,
|
||||
})
|
||||
model = doubaoProvider(modelId)
|
||||
break
|
||||
}
|
||||
|
||||
default:
|
||||
throw new Error(
|
||||
`Unknown AI provider: ${provider}. Supported providers: bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow, sglang, gateway`,
|
||||
`Unknown AI provider: ${provider}. Supported providers: bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow, sglang, gateway, edgeone, doubao`,
|
||||
)
|
||||
}
|
||||
|
||||
@@ -863,3 +906,34 @@ export function supportsPromptCaching(modelId: string): boolean {
|
||||
modelId.startsWith("eu.anthropic")
|
||||
)
|
||||
}
|
||||
|
||||
/**
|
||||
* Check if a model supports image/vision input.
|
||||
* Some models silently drop image parts without error (AI SDK warning only).
|
||||
*/
|
||||
export function supportsImageInput(modelId: string): boolean {
|
||||
const lowerModelId = modelId.toLowerCase()
|
||||
|
||||
// Helper to check if model has vision capability indicator
|
||||
const hasVisionIndicator =
|
||||
lowerModelId.includes("vision") || lowerModelId.includes("vl")
|
||||
|
||||
// Models that DON'T support image/vision input (unless vision variant)
|
||||
// Kimi K2 models don't support images
|
||||
if (lowerModelId.includes("kimi") && !hasVisionIndicator) {
|
||||
return false
|
||||
}
|
||||
|
||||
// DeepSeek text models (not vision variants)
|
||||
if (lowerModelId.includes("deepseek") && !hasVisionIndicator) {
|
||||
return false
|
||||
}
|
||||
|
||||
// Qwen text models (not vision variants like qwen-vl)
|
||||
if (lowerModelId.includes("qwen") && !hasVisionIndicator) {
|
||||
return false
|
||||
}
|
||||
|
||||
// Default: assume model supports images
|
||||
return true
|
||||
}
|
||||
|
||||
@@ -46,6 +46,7 @@
|
||||
"copyResponse": "Copy response",
|
||||
"copied": "Copied!",
|
||||
"failedToCopy": "Failed to copy",
|
||||
"failedToCopyDetail": "Failed to copy message. Please copy manually or check clipboard permissions.",
|
||||
"goodResponse": "Good response",
|
||||
"badResponse": "Bad response",
|
||||
"clickToEdit": "Click to edit",
|
||||
@@ -98,7 +99,13 @@
|
||||
"minimal": "Minimal",
|
||||
"sketch": "Sketch",
|
||||
"closeProtection": "Close Protection",
|
||||
"closeProtectionDescription": "Show confirmation when leaving the page."
|
||||
"closeProtectionDescription": "Show confirmation when leaving the page.",
|
||||
"diagramStyle": "Diagram Style",
|
||||
"diagramStyleDescription": "Toggle between minimal and styled diagram output.",
|
||||
"diagramActions": "Diagram Actions",
|
||||
"diagramActionsDescription": "Manage diagram history and exports",
|
||||
"history": "History",
|
||||
"download": "Download"
|
||||
},
|
||||
"save": {
|
||||
"title": "Save Diagram",
|
||||
@@ -135,6 +142,7 @@
|
||||
"invalidAccessCode": "Invalid or missing access code. Please configure it in Settings.",
|
||||
"networkError": "Network error. Please check your connection.",
|
||||
"retryLimit": "Auto-retry limit reached ({max}). Please try again manually.",
|
||||
"continuationRetryLimit": "Continuation retry limit reached ({max}). The diagram may be too complex.",
|
||||
"validationFailed": "Diagram validation failed. Please try regenerating.",
|
||||
"malformedXml": "AI generated invalid diagram XML. Please try regenerating.",
|
||||
"failedToProcess": "Failed to process diagram. Please try regenerating.",
|
||||
@@ -143,7 +151,9 @@
|
||||
"failedToRestore": "Failed to restore from localStorage",
|
||||
"failedToPersist": "Failed to persist state before unload",
|
||||
"failedToExport": "Error fetching chart data",
|
||||
"failedToLoadExample": "Error loading example image"
|
||||
"failedToLoadExample": "Error loading example image",
|
||||
"failedToRecordFeedback": "Failed to record your feedback. Please try again.",
|
||||
"storageUpdateFailed": "Chat cleared but browser storage could not be updated"
|
||||
},
|
||||
"quota": {
|
||||
"dailyLimit": "Daily Quota Reached",
|
||||
@@ -151,10 +161,12 @@
|
||||
"tpmLimit": "Rate Limit",
|
||||
"tpmMessage": "Too many requests. Please wait a moment.",
|
||||
"tpmMessageDetailed": "Rate limit reached ({limit} tokens/min). Please wait {seconds} seconds before sending another request.",
|
||||
"messageApi": "Oops — you've reached the daily API limit for this demo! As an indie developer covering all the API costs myself, I have to set these limits to keep things sustainable.",
|
||||
"messageToken": "Oops — you've reached the daily token limit for this demo! As an indie developer covering all the API costs myself, I have to set these limits to keep things sustainable.",
|
||||
"messageApi": "Looks like you've reached today's demo limit. We're thrilled you're enjoying it, and while ByteDance Doubao generously sponsors this demo, we've had to set a few boundaries to keep things fair for everyone.",
|
||||
"messageToken": "Looks like you've reached today's token limit. We're thrilled you're enjoying it, and while ByteDance Doubao generously sponsors this demo, we've had to set a few boundaries to keep things fair for everyone.",
|
||||
"tip": "<strong>Tip:</strong> You can use your own API key (click the Settings icon) or self-host the project to bypass these limits.",
|
||||
"reset": "Your limit resets tomorrow. Thanks for understanding!",
|
||||
"reset": "Your limit resets tomorrow. Thanks for understanding.",
|
||||
"doubaoSponsorship": "<a href=\"{link}\" target=\"_blank\" rel=\"noopener noreferrer\" class=\"underline hover:text-foreground\">Register here</a> to get 500K free tokens per model (including Doubao, DeepSeek and Kimi), then configure your API key in model settings.",
|
||||
"configModel": "Use Your API Key",
|
||||
"selfHost": "Self-host",
|
||||
"sponsor": "Sponsor",
|
||||
"learnMore": "Learn more →",
|
||||
@@ -178,6 +190,21 @@
|
||||
"thoughtFor": "Thought for {duration} seconds",
|
||||
"thoughtBrief": "Thought for a few seconds"
|
||||
},
|
||||
"dev": {
|
||||
"title": "Dev: XML Streaming Simulator",
|
||||
"preset": "Preset:",
|
||||
"selectPreset": "Select a preset...",
|
||||
"clear": "Clear",
|
||||
"placeholder": "Paste mxCell XML here or select a preset...",
|
||||
"interval": "Interval:",
|
||||
"chars": "Chars:",
|
||||
"streaming": "Streaming...",
|
||||
"simulate": "Simulate",
|
||||
"stop": "Stop",
|
||||
"testQuotaToast": "Test Quota Toast",
|
||||
"simulatingMessage": "[Dev] Simulating XML streaming",
|
||||
"successMessage": "Successfully displayed the diagram."
|
||||
},
|
||||
"about": {
|
||||
"modelChange": "Model Change & Usage Limits",
|
||||
"walletCrying": "(Or: Why My Wallet is Crying)",
|
||||
|
||||
@@ -46,6 +46,7 @@
|
||||
"copyResponse": "応答をコピー",
|
||||
"copied": "コピーしました!",
|
||||
"failedToCopy": "コピーに失敗しました",
|
||||
"failedToCopyDetail": "メッセージのコピーに失敗しました。手動でコピーするか、クリップボードの権限を確認してください。",
|
||||
"goodResponse": "良い応答",
|
||||
"badResponse": "悪い応答",
|
||||
"clickToEdit": "クリックして編集",
|
||||
@@ -98,7 +99,13 @@
|
||||
"minimal": "ミニマル",
|
||||
"sketch": "スケッチ",
|
||||
"closeProtection": "ページ離脱確認",
|
||||
"closeProtectionDescription": "ページを離れる際に確認を表示します。"
|
||||
"closeProtectionDescription": "ページを離れる際に確認を表示します。",
|
||||
"diagramStyle": "ダイアグラムスタイル",
|
||||
"diagramStyleDescription": "ミニマルとスタイル付きの出力を切り替えます。",
|
||||
"diagramActions": "ダイアグラム操作",
|
||||
"diagramActionsDescription": "ダイアグラムの履歴とエクスポートを管理",
|
||||
"history": "履歴",
|
||||
"download": "ダウンロード"
|
||||
},
|
||||
"save": {
|
||||
"title": "ダイアグラムを保存",
|
||||
@@ -135,6 +142,7 @@
|
||||
"invalidAccessCode": "無効または欠落したアクセスコード。設定で入力してください。",
|
||||
"networkError": "ネットワークエラー。接続を確認してください。",
|
||||
"retryLimit": "自動再試行制限に達しました({max})。手動で再試行してください。",
|
||||
"continuationRetryLimit": "継続再試行制限に達しました({max})。ダイアグラムが複雑すぎる可能性があります。",
|
||||
"validationFailed": "ダイアグラムの検証に失敗しました。再生成してみてください。",
|
||||
"malformedXml": "AI が無効なダイアグラム XML を生成しました。再生成してみてください。",
|
||||
"failedToProcess": "ダイアグラムの処理に失敗しました。再生成してみてください。",
|
||||
@@ -143,7 +151,9 @@
|
||||
"failedToRestore": "localStorage からの復元に失敗しました",
|
||||
"failedToPersist": "アンロード前の状態の永続化に失敗しました",
|
||||
"failedToExport": "チャートデータの取得エラー",
|
||||
"failedToLoadExample": "例の画像の読み込みエラー"
|
||||
"failedToLoadExample": "例の画像の読み込みエラー",
|
||||
"failedToRecordFeedback": "フィードバックの記録に失敗しました。もう一度お試しください。",
|
||||
"storageUpdateFailed": "チャットはクリアされましたが、ブラウザストレージを更新できませんでした"
|
||||
},
|
||||
"quota": {
|
||||
"dailyLimit": "1日の割当量に達しました",
|
||||
@@ -151,10 +161,12 @@
|
||||
"tpmLimit": "レート制限",
|
||||
"tpmMessage": "リクエストが多すぎます。しばらくお待ちください。",
|
||||
"tpmMessageDetailed": "レート制限に達しました({limit}トークン/分)。{seconds}秒待ってからもう一度リクエストしてください。",
|
||||
"messageApi": "おっと — このデモの1日の API 制限に達しました!個人開発者として API コストをすべて負担しているため、持続可能性を保つためにこれらの制限を設定する必要があります。",
|
||||
"messageToken": "おっと — このデモの1日のトークン制限に達しました!個人開発者として API コストをすべて負担しているため、持続可能性を保つためにこれらの制限を設定する必要があります。",
|
||||
"messageApi": "今日のデモ利用上限に達してしまったようです。楽しんでいただけて本当に嬉しいです。このデモはByteDance Doubaoのご厚意により提供されていますが、皆様に公平にご利用いただくため、少し制限を設けさせていただいております。",
|
||||
"messageToken": "今日のトークン利用上限に達してしまったようです。楽しんでいただけて本当に嬉しいです。このデモはByteDance Doubaoのご厚意により提供されていますが、皆様に公平にご利用いただくため、少し制限を設けさせていただいております。",
|
||||
"tip": "<strong>ヒント:</strong>独自の API キーを使用する(設定アイコンをクリック)か、プロジェクトをセルフホストしてこれらの制限を回避できます。",
|
||||
"reset": "制限は明日リセットされます。ご理解ありがとうございます!",
|
||||
"reset": "制限は明日リセットされます。ご理解ありがとうございます。",
|
||||
"doubaoSponsorship": "<a href=\"{link}\" target=\"_blank\" rel=\"noopener noreferrer\" class=\"underline hover:text-foreground\">こちらから登録</a>すると、各モデル(Doubao、DeepSeek、Kimi含む)で50万トークンを無料で取得できます。モデル設定でAPIキーを設定してください。",
|
||||
"configModel": "APIキーを使用",
|
||||
"selfHost": "セルフホスト",
|
||||
"sponsor": "スポンサー",
|
||||
"learnMore": "詳細 →",
|
||||
@@ -178,6 +190,21 @@
|
||||
"thoughtFor": "{duration} 秒考えました",
|
||||
"thoughtBrief": "数秒考えました"
|
||||
},
|
||||
"dev": {
|
||||
"title": "開発:XMLストリーミングシミュレーター",
|
||||
"preset": "プリセット:",
|
||||
"selectPreset": "プリセットを選択...",
|
||||
"clear": "クリア",
|
||||
"placeholder": "ここに mxCell XML を貼り付けるか、プリセットを選択...",
|
||||
"interval": "間隔:",
|
||||
"chars": "文字:",
|
||||
"streaming": "ストリーミング中...",
|
||||
"simulate": "シミュレート",
|
||||
"stop": "停止",
|
||||
"testQuotaToast": "クォータトーストをテスト",
|
||||
"simulatingMessage": "[開発] XMLストリーミングをシミュレート中",
|
||||
"successMessage": "ダイアグラムの表示に成功しました。"
|
||||
},
|
||||
"about": {
|
||||
"modelChange": "モデル変更と利用制限について",
|
||||
"walletCrying": "(別名:お財布が悲鳴を上げています)",
|
||||
|
||||
@@ -46,6 +46,7 @@
|
||||
"copyResponse": "复制响应",
|
||||
"copied": "已复制!",
|
||||
"failedToCopy": "复制失败",
|
||||
"failedToCopyDetail": "复制消息失败。请手动复制或检查剪贴板权限。",
|
||||
"goodResponse": "有帮助",
|
||||
"badResponse": "无帮助",
|
||||
"clickToEdit": "点击编辑",
|
||||
@@ -98,7 +99,13 @@
|
||||
"minimal": "简约",
|
||||
"sketch": "草图",
|
||||
"closeProtection": "关闭确认",
|
||||
"closeProtectionDescription": "离开页面时显示确认。"
|
||||
"closeProtectionDescription": "离开页面时显示确认。",
|
||||
"diagramStyle": "图表样式",
|
||||
"diagramStyleDescription": "切换简约与精致图表输出模式。",
|
||||
"diagramActions": "图表操作",
|
||||
"diagramActionsDescription": "管理图表历史记录和导出",
|
||||
"history": "历史记录",
|
||||
"download": "下载"
|
||||
},
|
||||
"save": {
|
||||
"title": "保存图表",
|
||||
@@ -135,6 +142,7 @@
|
||||
"invalidAccessCode": "无效或缺少访问码。请在设置中配置。",
|
||||
"networkError": "网络错误。请检查您的连接。",
|
||||
"retryLimit": "已达到自动重试限制({max})。请手动重试。",
|
||||
"continuationRetryLimit": "已达到继续重试限制({max})。图表可能过于复杂。",
|
||||
"validationFailed": "图表验证失败。请尝试重新生成。",
|
||||
"malformedXml": "AI 生成的图表 XML 无效。请尝试重新生成。",
|
||||
"failedToProcess": "无法处理图表。请尝试重新生成。",
|
||||
@@ -143,7 +151,9 @@
|
||||
"failedToRestore": "无法从 localStorage 恢复",
|
||||
"failedToPersist": "卸载前无法持久化状态",
|
||||
"failedToExport": "获取图表数据时出错",
|
||||
"failedToLoadExample": "加载示例图片时出错"
|
||||
"failedToLoadExample": "加载示例图片时出错",
|
||||
"failedToRecordFeedback": "记录您的反馈失败。请重试。",
|
||||
"storageUpdateFailed": "聊天已清除,但无法更新浏览器存储"
|
||||
},
|
||||
"quota": {
|
||||
"dailyLimit": "已达每日配额",
|
||||
@@ -151,10 +161,12 @@
|
||||
"tpmLimit": "速率限制",
|
||||
"tpmMessage": "请求过多。请稍等片刻。",
|
||||
"tpmMessageDetailed": "达到速率限制({limit} 令牌/分钟)。请等待 {seconds} 秒后再发送请求。",
|
||||
"messageApi": "糟糕 — 您已达到此演示的每日 API 限制!作为一名独立开发者,我自己承担所有 API 费用,因此必须设置这些限制以保持可持续性。",
|
||||
"messageToken": "糟糕 — 您已达到此演示的每日令牌限制!作为一名独立开发者,我自己承担所有 API 费用,因此必须设置这些限制以保持可持续性。",
|
||||
"messageApi": "看来您今天的体验次数已达上限。非常高兴您玩得开心,虽然本项目由字节跳动豆包慷慨赞助,但为了确保大家都能公平使用,我们不得不对使用量做一点小小的限制。",
|
||||
"messageToken": "看来您今天的 Token 用量已达上限。非常高兴您玩得开心,虽然本项目由字节跳动豆包慷慨赞助,但为了确保大家都能公平使用,我们不得不对使用量做一点小小的限制。",
|
||||
"tip": "<strong>提示:</strong>您可以使用自己的 API 密钥(点击设置图标)或自托管项目来绕过这些限制。",
|
||||
"reset": "您的限制将在明天重置。感谢您的理解!",
|
||||
"reset": "您的限制将在明天重置。感谢您的理解。",
|
||||
"doubaoSponsorship": "<a href=\"{link}\" target=\"_blank\" rel=\"noopener noreferrer\" class=\"underline hover:text-foreground\">点击此处注册</a>可获得每个模型 50 万免费 Token(包括豆包、DeepSeek 和 Kimi),然后在模型设置中配置您的 API Key。",
|
||||
"configModel": "使用您的密钥",
|
||||
"selfHost": "自托管",
|
||||
"sponsor": "赞助",
|
||||
"learnMore": "了解更多 →",
|
||||
@@ -178,6 +190,21 @@
|
||||
"thoughtFor": "思考了 {duration} 秒",
|
||||
"thoughtBrief": "思考了几秒钟"
|
||||
},
|
||||
"dev": {
|
||||
"title": "开发:XML 流式模拟器",
|
||||
"preset": "预设:",
|
||||
"selectPreset": "选择预设...",
|
||||
"clear": "清除",
|
||||
"placeholder": "在此粘贴 mxCell XML 或选择预设...",
|
||||
"interval": "间隔:",
|
||||
"chars": "字符:",
|
||||
"streaming": "流式传输中...",
|
||||
"simulate": "模拟",
|
||||
"stop": "停止",
|
||||
"testQuotaToast": "测试配额提示",
|
||||
"simulatingMessage": "[开发] 模拟 XML 流式传输",
|
||||
"successMessage": "成功显示图表。"
|
||||
},
|
||||
"about": {
|
||||
"modelChange": "模型变更与用量限制",
|
||||
"walletCrying": "(别名:我的钱包顶不住了)",
|
||||
|
||||
@@ -276,7 +276,7 @@ edit_diagram uses ID-based operations to modify cells directly by their id attri
|
||||
**Operations:**
|
||||
- **update**: Replace an existing cell. Provide cell_id and new_xml.
|
||||
- **add**: Add a new cell. Provide cell_id (new unique id) and new_xml.
|
||||
- **delete**: Remove a cell. Only cell_id is needed.
|
||||
- **delete**: Remove a cell. **Cascade is automatic**: children AND edges (source/target) are auto-deleted. Only specify ONE cell_id.
|
||||
|
||||
**Input Format:**
|
||||
\`\`\`json
|
||||
@@ -301,9 +301,9 @@ Add new shape:
|
||||
{"operations": [{"operation": "add", "cell_id": "new1", "new_xml": "<mxCell id=\\"new1\\" value=\\"New Box\\" style=\\"rounded=1;fillColor=#dae8fc;\\" vertex=\\"1\\" parent=\\"1\\">\\n <mxGeometry x=\\"400\\" y=\\"200\\" width=\\"120\\" height=\\"60\\" as=\\"geometry\\"/>\\n</mxCell>"}]}
|
||||
\`\`\`
|
||||
|
||||
Delete cell:
|
||||
Delete container (children & edges auto-deleted):
|
||||
\`\`\`json
|
||||
{"operations": [{"operation": "delete", "cell_id": "5"}]}
|
||||
{"operations": [{"operation": "delete", "cell_id": "2"}]}
|
||||
\`\`\`
|
||||
|
||||
**Error Recovery:**
|
||||
|
||||
@@ -9,7 +9,10 @@ export type ProviderName =
|
||||
| "openrouter"
|
||||
| "deepseek"
|
||||
| "siliconflow"
|
||||
| "sglang"
|
||||
| "gateway"
|
||||
| "edgeone"
|
||||
| "doubao"
|
||||
|
||||
// Individual model configuration
|
||||
export interface ModelConfig {
|
||||
@@ -78,7 +81,16 @@ export const PROVIDER_INFO: Record<
|
||||
label: "SiliconFlow",
|
||||
defaultBaseUrl: "https://api.siliconflow.com/v1",
|
||||
},
|
||||
sglang: {
|
||||
label: "SGLang",
|
||||
defaultBaseUrl: "http://127.0.0.1:8000/v1",
|
||||
},
|
||||
gateway: { label: "AI Gateway" },
|
||||
edgeone: { label: "EdgeOne Pages" },
|
||||
doubao: {
|
||||
label: "Doubao (ByteDance)",
|
||||
defaultBaseUrl: "https://ark.cn-beijing.volces.com/api/v3",
|
||||
},
|
||||
}
|
||||
|
||||
// Suggested models per provider for quick add
|
||||
@@ -198,6 +210,10 @@ export const SUGGESTED_MODELS: Record<ProviderName, string[]> = {
|
||||
"Qwen/Qwen2.5-7B-Instruct",
|
||||
"Qwen/Qwen2-VL-72B-Instruct",
|
||||
],
|
||||
sglang: [
|
||||
// SGLang is OpenAI-compatible, models depend on deployment
|
||||
"default",
|
||||
],
|
||||
gateway: [
|
||||
"openai/gpt-4o",
|
||||
"openai/gpt-4o-mini",
|
||||
@@ -205,6 +221,16 @@ export const SUGGESTED_MODELS: Record<ProviderName, string[]> = {
|
||||
"anthropic/claude-3-5-sonnet",
|
||||
"google/gemini-2.0-flash",
|
||||
],
|
||||
edgeone: ["@tx/deepseek-ai/deepseek-v32"],
|
||||
doubao: [
|
||||
// ByteDance Doubao models
|
||||
"doubao-1.5-thinking-pro-250415",
|
||||
"doubao-1.5-thinking-pro-m-250428",
|
||||
"doubao-1.5-pro-32k-250115",
|
||||
"doubao-1.5-pro-256k-250115",
|
||||
"doubao-pro-32k-241215",
|
||||
"doubao-pro-256k-241215",
|
||||
],
|
||||
}
|
||||
|
||||
// Helper to generate UUID
|
||||
|
||||
@@ -10,6 +10,7 @@ export interface QuotaConfig {
|
||||
dailyRequestLimit: number
|
||||
dailyTokenLimit: number
|
||||
tpmLimit: number
|
||||
onConfigModel?: () => void
|
||||
}
|
||||
|
||||
/**
|
||||
@@ -22,7 +23,8 @@ export function useQuotaManager(config: QuotaConfig): {
|
||||
showTokenLimitToast: (used?: number, limit?: number) => void
|
||||
showTPMLimitToast: (limit?: number) => void
|
||||
} {
|
||||
const { dailyRequestLimit, dailyTokenLimit, tpmLimit } = config
|
||||
const { dailyRequestLimit, dailyTokenLimit, tpmLimit, onConfigModel } =
|
||||
config
|
||||
const dict = useDictionary()
|
||||
|
||||
// Show quota limit toast (request-based)
|
||||
@@ -34,12 +36,13 @@ export function useQuotaManager(config: QuotaConfig): {
|
||||
used={used ?? dailyRequestLimit}
|
||||
limit={limit ?? dailyRequestLimit}
|
||||
onDismiss={() => toast.dismiss(t)}
|
||||
onConfigModel={onConfigModel}
|
||||
/>
|
||||
),
|
||||
{ duration: 15000 },
|
||||
)
|
||||
},
|
||||
[dailyRequestLimit],
|
||||
[dailyRequestLimit, onConfigModel],
|
||||
)
|
||||
|
||||
// Show token limit toast
|
||||
@@ -52,12 +55,13 @@ export function useQuotaManager(config: QuotaConfig): {
|
||||
used={used ?? dailyTokenLimit}
|
||||
limit={limit ?? dailyTokenLimit}
|
||||
onDismiss={() => toast.dismiss(t)}
|
||||
onConfigModel={onConfigModel}
|
||||
/>
|
||||
),
|
||||
{ duration: 15000 },
|
||||
)
|
||||
},
|
||||
[dailyTokenLimit],
|
||||
[dailyTokenLimit, onConfigModel],
|
||||
)
|
||||
|
||||
// Show TPM limit toast
|
||||
|
||||
77
lib/utils.ts
77
lib/utils.ts
@@ -633,32 +633,77 @@ export function applyDiagramOperations(
|
||||
// Add to map
|
||||
cellMap.set(op.cell_id, importedNode)
|
||||
} else if (op.operation === "delete") {
|
||||
const existingCell = cellMap.get(op.cell_id)
|
||||
if (!existingCell) {
|
||||
// Protect root cells from deletion
|
||||
if (op.cell_id === "0" || op.cell_id === "1") {
|
||||
errors.push({
|
||||
type: "delete",
|
||||
cellId: op.cell_id,
|
||||
message: `Cell with id="${op.cell_id}" not found`,
|
||||
message: `Cannot delete root cell "${op.cell_id}"`,
|
||||
})
|
||||
continue
|
||||
}
|
||||
|
||||
// Check for edges referencing this cell (warning only, still delete)
|
||||
const referencingEdges = root.querySelectorAll(
|
||||
`mxCell[source="${op.cell_id}"], mxCell[target="${op.cell_id}"]`,
|
||||
)
|
||||
if (referencingEdges.length > 0) {
|
||||
const edgeIds = Array.from(referencingEdges)
|
||||
.map((e) => e.getAttribute("id"))
|
||||
.join(", ")
|
||||
console.warn(
|
||||
`[applyDiagramOperations] Deleting cell "${op.cell_id}" which is referenced by edges: ${edgeIds}`,
|
||||
const existingCell = cellMap.get(op.cell_id)
|
||||
if (!existingCell) {
|
||||
// Cell not found - might have been cascade-deleted by a previous operation
|
||||
// Skip silently instead of erroring (AI may redundantly list children/edges)
|
||||
continue
|
||||
}
|
||||
|
||||
// Cascade delete: collect all cells to delete (children + edges + self)
|
||||
const cellsToDelete = new Set<string>()
|
||||
|
||||
// Recursive function to find all descendants
|
||||
const collectDescendants = (cellId: string) => {
|
||||
if (cellsToDelete.has(cellId)) return
|
||||
cellsToDelete.add(cellId)
|
||||
|
||||
// Find children (cells where parent === cellId)
|
||||
const children = root.querySelectorAll(
|
||||
`mxCell[parent="${cellId}"]`,
|
||||
)
|
||||
children.forEach((child) => {
|
||||
const childId = child.getAttribute("id")
|
||||
if (childId && childId !== "0" && childId !== "1") {
|
||||
collectDescendants(childId)
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
// Collect the target cell and all its descendants
|
||||
collectDescendants(op.cell_id)
|
||||
|
||||
// Find edges referencing any of the cells to be deleted
|
||||
// Also recursively collect children of those edges (e.g., edge labels)
|
||||
for (const cellId of cellsToDelete) {
|
||||
const referencingEdges = root.querySelectorAll(
|
||||
`mxCell[source="${cellId}"], mxCell[target="${cellId}"]`,
|
||||
)
|
||||
referencingEdges.forEach((edge) => {
|
||||
const edgeId = edge.getAttribute("id")
|
||||
// Protect root cells from being added via edge references
|
||||
if (edgeId && edgeId !== "0" && edgeId !== "1") {
|
||||
// Recurse to collect edge's children (like labels)
|
||||
collectDescendants(edgeId)
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
// Log what will be deleted
|
||||
if (cellsToDelete.size > 1) {
|
||||
console.log(
|
||||
`[applyDiagramOperations] Cascade delete "${op.cell_id}" → deleting ${cellsToDelete.size} cells: ${Array.from(cellsToDelete).join(", ")}`,
|
||||
)
|
||||
}
|
||||
|
||||
// Remove the node
|
||||
existingCell.parentNode?.removeChild(existingCell)
|
||||
cellMap.delete(op.cell_id)
|
||||
// Delete all collected cells
|
||||
for (const cellId of cellsToDelete) {
|
||||
const cell = cellMap.get(cellId)
|
||||
if (cell) {
|
||||
cell.parentNode?.removeChild(cell)
|
||||
cellMap.delete(cellId)
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
3411
package-lock.json
generated
3411
package-lock.json
generated
File diff suppressed because it is too large
Load Diff
21
package.json
21
package.json
@@ -21,11 +21,11 @@
|
||||
"electron:compile": "npx esbuild electron/main/index.ts electron/preload/index.ts electron/preload/settings.ts --bundle --platform=node --outdir=dist-electron --external:electron --sourcemap --packages=external && npx shx cp -r electron/settings dist-electron/",
|
||||
"electron:start": "npx cross-env NODE_ENV=development npx electron .",
|
||||
"electron:prepare": "node scripts/prepare-electron-build.mjs",
|
||||
"dist": "npm run electron:build && npm run electron:prepare && npx electron-builder",
|
||||
"dist:mac": "npm run electron:build && npm run electron:prepare && npx electron-builder --mac",
|
||||
"dist:win": "npm run electron:build && npm run electron:prepare && npx electron-builder --win",
|
||||
"dist:linux": "npm run electron:build && npm run electron:prepare && npx electron-builder --linux",
|
||||
"dist:all": "npm run electron:build && npm run electron:prepare && npx electron-builder --mac --win --linux"
|
||||
"dist": "npm run electron:build && npm run electron:prepare && npx electron-builder --config electron/electron-builder.yml",
|
||||
"dist:mac": "npm run electron:build && npm run electron:prepare && npx electron-builder --config electron/electron-builder.yml --mac",
|
||||
"dist:win": "npm run electron:build && npm run electron:prepare && npx electron-builder --config electron/electron-builder.yml --win",
|
||||
"dist:linux": "npm run electron:build && npm run electron:prepare && npx electron-builder --config electron/electron-builder.yml --linux",
|
||||
"dist:all": "npm run electron:build && npm run electron:prepare && npx electron-builder --config electron/electron-builder.yml --mac --win --linux"
|
||||
},
|
||||
"dependencies": {
|
||||
"@ai-sdk/amazon-bedrock": "^4.0.1",
|
||||
@@ -65,7 +65,7 @@
|
||||
"clsx": "^2.1.1",
|
||||
"cmdk": "^1.1.1",
|
||||
"js-tiktoken": "^1.0.21",
|
||||
"jsdom": "^26.0.0",
|
||||
"jsdom": "^27.0.0",
|
||||
"jsonrepair": "^3.13.1",
|
||||
"lucide-react": "^0.562.0",
|
||||
"motion": "^12.23.25",
|
||||
@@ -79,7 +79,7 @@
|
||||
"react-drawio": "^1.0.3",
|
||||
"react-icons": "^5.5.0",
|
||||
"react-markdown": "^10.1.0",
|
||||
"react-resizable-panels": "^4.0.0",
|
||||
"react-resizable-panels": "^3.0.6",
|
||||
"remark-gfm": "^4.0.1",
|
||||
"server-only": "^0.0.1",
|
||||
"sonner": "^2.0.7",
|
||||
@@ -88,6 +88,11 @@
|
||||
"unpdf": "^1.4.0",
|
||||
"zod": "^4.1.12"
|
||||
},
|
||||
"optionalDependencies": {
|
||||
"lightningcss": "^1.30.2",
|
||||
"lightningcss-linux-x64-gnu": "^1.30.2",
|
||||
"@tailwindcss/oxide-linux-x64-gnu": "^4.1.18"
|
||||
},
|
||||
"lint-staged": {
|
||||
"*.{js,ts,jsx,tsx,json,css}": [
|
||||
"biome check --write --no-errors-on-unmatched",
|
||||
@@ -100,7 +105,7 @@
|
||||
"@tailwindcss/postcss": "^4",
|
||||
"@tailwindcss/typography": "^0.5.19",
|
||||
"@types/negotiator": "^0.6.4",
|
||||
"@types/node": "^20",
|
||||
"@types/node": "^24.0.0",
|
||||
"@types/pako": "^2.0.3",
|
||||
"@types/react": "^19",
|
||||
"@types/react-dom": "^19",
|
||||
|
||||
@@ -97,7 +97,7 @@ Use the standard MCP configuration with:
|
||||
| Tool | Description |
|
||||
|------|-------------|
|
||||
| `start_session` | Opens browser with real-time diagram preview |
|
||||
| `display_diagram` | Create a new diagram from XML |
|
||||
| `create_new_diagram` | Create a new diagram from XML (requires `xml` argument) |
|
||||
| `edit_diagram` | Edit diagram by ID-based operations (update/add/delete cells) |
|
||||
| `get_diagram` | Get the current diagram XML |
|
||||
| `export_diagram` | Save diagram to a `.drawio` file |
|
||||
|
||||
67
packages/mcp-server/package-lock.json
generated
67
packages/mcp-server/package-lock.json
generated
@@ -11,14 +11,14 @@
|
||||
"dependencies": {
|
||||
"@modelcontextprotocol/sdk": "^1.0.4",
|
||||
"linkedom": "^0.18.0",
|
||||
"open": "^10.1.0",
|
||||
"open": "^11.0.0",
|
||||
"zod": "^3.24.0"
|
||||
},
|
||||
"bin": {
|
||||
"next-ai-drawio-mcp": "dist/index.js"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@types/node": "^20",
|
||||
"@types/node": "^24.0.0",
|
||||
"tsx": "^4.19.0",
|
||||
"typescript": "^5"
|
||||
},
|
||||
@@ -520,13 +520,13 @@
|
||||
}
|
||||
},
|
||||
"node_modules/@types/node": {
|
||||
"version": "20.19.27",
|
||||
"resolved": "https://registry.npmjs.org/@types/node/-/node-20.19.27.tgz",
|
||||
"integrity": "sha512-N2clP5pJhB2YnZJ3PIHFk5RkygRX5WO/5f0WC08tp0wd+sv0rsJk3MqWn3CbNmT2J505a5336jaQj4ph1AdMug==",
|
||||
"version": "24.10.4",
|
||||
"resolved": "https://registry.npmjs.org/@types/node/-/node-24.10.4.tgz",
|
||||
"integrity": "sha512-vnDVpYPMzs4wunl27jHrfmwojOGKya0xyM3sH+UE5iv5uPS6vX7UIoh6m+vQc5LGBq52HBKPIn/zcSZVzeDEZg==",
|
||||
"dev": true,
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"undici-types": "~6.21.0"
|
||||
"undici-types": "~7.16.0"
|
||||
}
|
||||
},
|
||||
"node_modules/accepts": {
|
||||
@@ -1372,6 +1372,18 @@
|
||||
"url": "https://github.com/sponsors/sindresorhus"
|
||||
}
|
||||
},
|
||||
"node_modules/is-in-ssh": {
|
||||
"version": "1.0.0",
|
||||
"resolved": "https://registry.npmjs.org/is-in-ssh/-/is-in-ssh-1.0.0.tgz",
|
||||
"integrity": "sha512-jYa6Q9rH90kR1vKB6NM7qqd1mge3Fx4Dhw5TVlK1MUBqhEOuCagrEHMevNuCcbECmXZ0ThXkRm+Ymr51HwEPAw==",
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">=20"
|
||||
},
|
||||
"funding": {
|
||||
"url": "https://github.com/sponsors/sindresorhus"
|
||||
}
|
||||
},
|
||||
"node_modules/is-inside-container": {
|
||||
"version": "1.0.0",
|
||||
"resolved": "https://registry.npmjs.org/is-inside-container/-/is-inside-container-1.0.0.tgz",
|
||||
@@ -1587,18 +1599,20 @@
|
||||
}
|
||||
},
|
||||
"node_modules/open": {
|
||||
"version": "10.2.0",
|
||||
"resolved": "https://registry.npmjs.org/open/-/open-10.2.0.tgz",
|
||||
"integrity": "sha512-YgBpdJHPyQ2UE5x+hlSXcnejzAvD0b22U2OuAP+8OnlJT+PjWPxtgmGqKKc+RgTM63U9gN0YzrYc71R2WT/hTA==",
|
||||
"version": "11.0.0",
|
||||
"resolved": "https://registry.npmjs.org/open/-/open-11.0.0.tgz",
|
||||
"integrity": "sha512-smsWv2LzFjP03xmvFoJ331ss6h+jixfA4UUV/Bsiyuu4YJPfN+FIQGOIiv4w9/+MoHkfkJ22UIaQWRVFRfH6Vw==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"default-browser": "^5.2.1",
|
||||
"default-browser": "^5.4.0",
|
||||
"define-lazy-prop": "^3.0.0",
|
||||
"is-in-ssh": "^1.0.0",
|
||||
"is-inside-container": "^1.0.0",
|
||||
"wsl-utils": "^0.1.0"
|
||||
"powershell-utils": "^0.1.0",
|
||||
"wsl-utils": "^0.3.0"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=18"
|
||||
"node": ">=20"
|
||||
},
|
||||
"funding": {
|
||||
"url": "https://github.com/sponsors/sindresorhus"
|
||||
@@ -1641,6 +1655,18 @@
|
||||
"node": ">=16.20.0"
|
||||
}
|
||||
},
|
||||
"node_modules/powershell-utils": {
|
||||
"version": "0.1.0",
|
||||
"resolved": "https://registry.npmjs.org/powershell-utils/-/powershell-utils-0.1.0.tgz",
|
||||
"integrity": "sha512-dM0jVuXJPsDN6DvRpea484tCUaMiXWjuCn++HGTqUWzGDjv5tZkEZldAJ/UMlqRYGFrD/etByo4/xOuC/snX2A==",
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">=20"
|
||||
},
|
||||
"funding": {
|
||||
"url": "https://github.com/sponsors/sindresorhus"
|
||||
}
|
||||
},
|
||||
"node_modules/proxy-addr": {
|
||||
"version": "2.0.7",
|
||||
"resolved": "https://registry.npmjs.org/proxy-addr/-/proxy-addr-2.0.7.tgz",
|
||||
@@ -1963,9 +1989,9 @@
|
||||
"license": "ISC"
|
||||
},
|
||||
"node_modules/undici-types": {
|
||||
"version": "6.21.0",
|
||||
"resolved": "https://registry.npmjs.org/undici-types/-/undici-types-6.21.0.tgz",
|
||||
"integrity": "sha512-iwDZqg0QAGrg9Rav5H4n0M64c3mkR59cJ6wQp+7C4nI0gsmExaedaYLNO44eT4AtBBwjbTiGPMlt2Md0T9H9JQ==",
|
||||
"version": "7.16.0",
|
||||
"resolved": "https://registry.npmjs.org/undici-types/-/undici-types-7.16.0.tgz",
|
||||
"integrity": "sha512-Zz+aZWSj8LE6zoxD+xrjh4VfkIG8Ya6LvYkZqtUQGJPZjYl53ypCaUwWqo7eI0x66KBGeRo+mlBEkMSeSZ38Nw==",
|
||||
"dev": true,
|
||||
"license": "MIT"
|
||||
},
|
||||
@@ -2009,15 +2035,16 @@
|
||||
"license": "ISC"
|
||||
},
|
||||
"node_modules/wsl-utils": {
|
||||
"version": "0.1.0",
|
||||
"resolved": "https://registry.npmjs.org/wsl-utils/-/wsl-utils-0.1.0.tgz",
|
||||
"integrity": "sha512-h3Fbisa2nKGPxCpm89Hk33lBLsnaGBvctQopaBSOW/uIs6FTe1ATyAnKFJrzVs9vpGdsTe73WF3V4lIsk4Gacw==",
|
||||
"version": "0.3.0",
|
||||
"resolved": "https://registry.npmjs.org/wsl-utils/-/wsl-utils-0.3.0.tgz",
|
||||
"integrity": "sha512-3sFIGLiaDP7rTO4xh3g+b3AzhYDIUGGywE/WsmqzJWDxus5aJXVnPTNC/6L+r2WzrwXqVOdD262OaO+cEyPMSQ==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"is-wsl": "^3.1.0"
|
||||
"is-wsl": "^3.1.0",
|
||||
"powershell-utils": "^0.1.0"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=18"
|
||||
"node": ">=20"
|
||||
},
|
||||
"funding": {
|
||||
"url": "https://github.com/sponsors/sindresorhus"
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@next-ai-drawio/mcp-server",
|
||||
"version": "0.1.6",
|
||||
"version": "0.1.11",
|
||||
"description": "MCP server for Next AI Draw.io - AI-powered diagram generation with real-time browser preview",
|
||||
"type": "module",
|
||||
"main": "dist/index.js",
|
||||
@@ -38,11 +38,11 @@
|
||||
"dependencies": {
|
||||
"@modelcontextprotocol/sdk": "^1.0.4",
|
||||
"linkedom": "^0.18.0",
|
||||
"open": "^10.1.0",
|
||||
"open": "^11.0.0",
|
||||
"zod": "^3.24.0"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@types/node": "^20",
|
||||
"@types/node": "^24.0.0",
|
||||
"tsx": "^4.19.0",
|
||||
"typescript": "^5"
|
||||
},
|
||||
|
||||
@@ -182,32 +182,77 @@ export function applyDiagramOperations(
|
||||
// Add to map
|
||||
cellMap.set(op.cell_id, importedNode)
|
||||
} else if (op.operation === "delete") {
|
||||
const existingCell = cellMap.get(op.cell_id)
|
||||
if (!existingCell) {
|
||||
// Protect root cells from deletion
|
||||
if (op.cell_id === "0" || op.cell_id === "1") {
|
||||
errors.push({
|
||||
type: "delete",
|
||||
cellId: op.cell_id,
|
||||
message: `Cell with id="${op.cell_id}" not found`,
|
||||
message: `Cannot delete root cell "${op.cell_id}"`,
|
||||
})
|
||||
continue
|
||||
}
|
||||
|
||||
// Check for edges referencing this cell (warning only, still delete)
|
||||
const referencingEdges = root.querySelectorAll(
|
||||
`mxCell[source="${op.cell_id}"], mxCell[target="${op.cell_id}"]`,
|
||||
)
|
||||
if (referencingEdges.length > 0) {
|
||||
const edgeIds = Array.from(referencingEdges)
|
||||
.map((e) => e.getAttribute("id"))
|
||||
.join(", ")
|
||||
console.warn(
|
||||
`[applyDiagramOperations] Deleting cell "${op.cell_id}" which is referenced by edges: ${edgeIds}`,
|
||||
const existingCell = cellMap.get(op.cell_id)
|
||||
if (!existingCell) {
|
||||
// Cell not found - might have been cascade-deleted by a previous operation
|
||||
// Skip silently instead of erroring (AI may redundantly list children/edges)
|
||||
continue
|
||||
}
|
||||
|
||||
// Cascade delete: collect all cells to delete (children + edges + self)
|
||||
const cellsToDelete = new Set<string>()
|
||||
|
||||
// Recursive function to find all descendants
|
||||
const collectDescendants = (cellId: string) => {
|
||||
if (cellsToDelete.has(cellId)) return
|
||||
cellsToDelete.add(cellId)
|
||||
|
||||
// Find children (cells where parent === cellId)
|
||||
const children = root.querySelectorAll(
|
||||
`mxCell[parent="${cellId}"]`,
|
||||
)
|
||||
children.forEach((child) => {
|
||||
const childId = child.getAttribute("id")
|
||||
if (childId && childId !== "0" && childId !== "1") {
|
||||
collectDescendants(childId)
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
// Collect the target cell and all its descendants
|
||||
collectDescendants(op.cell_id)
|
||||
|
||||
// Find edges referencing any of the cells to be deleted
|
||||
// Also recursively collect children of those edges (e.g., edge labels)
|
||||
for (const cellId of cellsToDelete) {
|
||||
const referencingEdges = root.querySelectorAll(
|
||||
`mxCell[source="${cellId}"], mxCell[target="${cellId}"]`,
|
||||
)
|
||||
referencingEdges.forEach((edge) => {
|
||||
const edgeId = edge.getAttribute("id")
|
||||
// Protect root cells from being added via edge references
|
||||
if (edgeId && edgeId !== "0" && edgeId !== "1") {
|
||||
// Recurse to collect edge's children (like labels)
|
||||
collectDescendants(edgeId)
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
// Log what will be deleted
|
||||
if (cellsToDelete.size > 1) {
|
||||
console.log(
|
||||
`[applyDiagramOperations] Cascade delete "${op.cell_id}" → deleting ${cellsToDelete.size} cells: ${Array.from(cellsToDelete).join(", ")}`,
|
||||
)
|
||||
}
|
||||
|
||||
// Remove the node
|
||||
existingCell.parentNode?.removeChild(existingCell)
|
||||
cellMap.delete(op.cell_id)
|
||||
// Delete all collected cells
|
||||
for (const cellId of cellsToDelete) {
|
||||
const cell = cellMap.get(cellId)
|
||||
if (cell) {
|
||||
cell.parentNode?.removeChild(cell)
|
||||
cellMap.delete(cellId)
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -127,7 +127,12 @@ function cleanupExpiredSessions(): void {
|
||||
}
|
||||
}
|
||||
|
||||
setInterval(cleanupExpiredSessions, 5 * 60 * 1000)
|
||||
const cleanupIntervalId = setInterval(cleanupExpiredSessions, 5 * 60 * 1000)
|
||||
|
||||
export function shutdown(): void {
|
||||
clearInterval(cleanupIntervalId)
|
||||
stopHttpServer()
|
||||
}
|
||||
|
||||
export function getServerPort(): number {
|
||||
return serverPort
|
||||
|
||||
@@ -39,6 +39,7 @@ import {
|
||||
getState,
|
||||
requestSync,
|
||||
setState,
|
||||
shutdown,
|
||||
startHttpServer,
|
||||
waitForSync,
|
||||
} from "./http-server.js"
|
||||
@@ -78,7 +79,7 @@ server.prompt(
|
||||
|
||||
## Creating a New Diagram
|
||||
1. Call start_session to open the browser preview
|
||||
2. Use display_diagram with complete mxGraphModel XML to create a new diagram
|
||||
2. Use create_new_diagram with complete mxGraphModel XML to create a new diagram
|
||||
|
||||
## Adding Elements to Existing Diagram
|
||||
1. Use edit_diagram with "add" operation
|
||||
@@ -91,7 +92,7 @@ server.prompt(
|
||||
3. For update, provide the cell_id and complete new mxCell XML
|
||||
|
||||
## Important Notes
|
||||
- display_diagram REPLACES the entire diagram - only use for new diagrams
|
||||
- create_new_diagram REPLACES the entire diagram - only use for new diagrams
|
||||
- edit_diagram PRESERVES user's manual changes (fetches browser state first)
|
||||
- Always use unique cell_ids when adding elements (e.g., "shape-1", "arrow-2")`,
|
||||
},
|
||||
@@ -150,19 +151,59 @@ server.registerTool(
|
||||
},
|
||||
)
|
||||
|
||||
// Tool: display_diagram
|
||||
// Tool: create_new_diagram
|
||||
server.registerTool(
|
||||
"display_diagram",
|
||||
"create_new_diagram",
|
||||
{
|
||||
description:
|
||||
"Display a NEW draw.io diagram from XML. REPLACES the entire diagram. " +
|
||||
"Use this for creating new diagrams from scratch. " +
|
||||
"To ADD elements to an existing diagram, use edit_diagram with 'add' operation instead. " +
|
||||
"You should generate valid draw.io/mxGraph XML format.",
|
||||
description: `Create a NEW diagram from mxGraphModel XML. Use this when creating a diagram from scratch or replacing the current diagram entirely.
|
||||
|
||||
CRITICAL: You MUST provide the 'xml' argument in EVERY call. Do NOT call this tool without xml.
|
||||
|
||||
When to use this tool:
|
||||
- Creating a new diagram from scratch
|
||||
- Replacing the current diagram with a completely different one
|
||||
- Major structural changes that require regenerating the diagram
|
||||
|
||||
When to use edit_diagram instead:
|
||||
- Small modifications to existing diagram
|
||||
- Adding/removing individual elements
|
||||
- Changing labels, colors, or positions
|
||||
|
||||
XML FORMAT - Full mxGraphModel structure:
|
||||
<mxGraphModel>
|
||||
<root>
|
||||
<mxCell id="0"/>
|
||||
<mxCell id="1" parent="0"/>
|
||||
<mxCell id="2" value="Shape" style="rounded=1;" vertex="1" parent="1">
|
||||
<mxGeometry x="100" y="100" width="120" height="60" as="geometry"/>
|
||||
</mxCell>
|
||||
</root>
|
||||
</mxGraphModel>
|
||||
|
||||
LAYOUT CONSTRAINTS:
|
||||
- Keep all elements within x=0-800, y=0-600 (single page viewport)
|
||||
- Start from margins (x=40, y=40), keep elements grouped closely
|
||||
- Use unique IDs starting from "2" (0 and 1 are reserved)
|
||||
- Set parent="1" for top-level shapes
|
||||
- Space shapes 150-200px apart for clear edge routing
|
||||
|
||||
EDGE ROUTING RULES:
|
||||
- Never let multiple edges share the same path - use different exitY/entryY values
|
||||
- For bidirectional connections (A↔B), use OPPOSITE sides
|
||||
- Always specify exitX, exitY, entryX, entryY explicitly in edge style
|
||||
- Route edges AROUND obstacles using waypoints (add 20-30px clearance)
|
||||
- Use natural connection points based on flow (not corners)
|
||||
|
||||
COMMON STYLES:
|
||||
- Shapes: rounded=1; fillColor=#hex; strokeColor=#hex
|
||||
- Edges: endArrow=classic; edgeStyle=orthogonalEdgeStyle; curved=1
|
||||
- Text: fontSize=14; fontStyle=1 (bold); align=center`,
|
||||
inputSchema: {
|
||||
xml: z
|
||||
.string()
|
||||
.describe("The draw.io XML to display (mxGraphModel format)"),
|
||||
.describe(
|
||||
"REQUIRED: The complete mxGraphModel XML. Must always be provided.",
|
||||
),
|
||||
},
|
||||
},
|
||||
async ({ xml: inputXml }) => {
|
||||
@@ -199,7 +240,7 @@ server.registerTool(
|
||||
}
|
||||
}
|
||||
|
||||
log.info(`Displaying diagram, ${xml.length} chars`)
|
||||
log.info(`Setting diagram content, ${xml.length} chars`)
|
||||
|
||||
// Sync from browser state first
|
||||
const browserState = getState(currentSession.id)
|
||||
@@ -226,20 +267,20 @@ server.registerTool(
|
||||
// Save AI result (no SVG yet - will be captured by browser)
|
||||
addHistory(currentSession.id, xml, "")
|
||||
|
||||
log.info(`Diagram displayed successfully`)
|
||||
log.info(`Diagram content set successfully`)
|
||||
|
||||
return {
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: `Diagram displayed successfully!\n\nThe diagram is now visible in your browser.\n\nXML length: ${xml.length} characters`,
|
||||
text: `Diagram content set successfully!\n\nThe diagram is now visible in your browser.\n\nXML length: ${xml.length} characters`,
|
||||
},
|
||||
],
|
||||
}
|
||||
} catch (error) {
|
||||
const message =
|
||||
error instanceof Error ? error.message : String(error)
|
||||
log.error("display_diagram failed:", message)
|
||||
log.error("create_new_diagram failed:", message)
|
||||
return {
|
||||
content: [{ type: "text", text: `Error: ${message}` }],
|
||||
isError: true,
|
||||
@@ -340,7 +381,7 @@ server.registerTool(
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: "Error: No diagram to edit. Please create a diagram first with display_diagram.",
|
||||
text: "Error: No diagram to edit. Please create a diagram first with create_new_diagram.",
|
||||
},
|
||||
],
|
||||
isError: true,
|
||||
@@ -474,7 +515,7 @@ server.registerTool(
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: "No diagram exists yet. Use display_diagram to create one.",
|
||||
text: "No diagram exists yet. Use create_new_diagram to create one.",
|
||||
},
|
||||
],
|
||||
}
|
||||
@@ -578,6 +619,31 @@ server.registerTool(
|
||||
},
|
||||
)
|
||||
|
||||
// Graceful shutdown handler
|
||||
let isShuttingDown = false
|
||||
function gracefulShutdown(reason: string) {
|
||||
if (isShuttingDown) return
|
||||
isShuttingDown = true
|
||||
log.info(`Shutting down: ${reason}`)
|
||||
shutdown()
|
||||
process.exit(0)
|
||||
}
|
||||
|
||||
// Handle stdin close (primary method - works on all platforms including Windows)
|
||||
process.stdin.on("close", () => gracefulShutdown("stdin closed"))
|
||||
process.stdin.on("end", () => gracefulShutdown("stdin ended"))
|
||||
|
||||
// Handle signals (may not work reliably on Windows)
|
||||
process.on("SIGINT", () => gracefulShutdown("SIGINT"))
|
||||
process.on("SIGTERM", () => gracefulShutdown("SIGTERM"))
|
||||
|
||||
// Handle broken pipe (writing to closed stdout)
|
||||
process.stdout.on("error", (err) => {
|
||||
if (err.code === "EPIPE" || err.code === "ERR_STREAM_DESTROYED") {
|
||||
gracefulShutdown("stdout error")
|
||||
}
|
||||
})
|
||||
|
||||
// Start the MCP server
|
||||
async function main() {
|
||||
log.info("Starting MCP server for Next AI Draw.io (embedded mode)...")
|
||||
|
||||
BIN
public/doubao-color.png
Normal file
BIN
public/doubao-color.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 48 KiB |
1
public/doubao-color.svg
Normal file
1
public/doubao-color.svg
Normal file
@@ -0,0 +1 @@
|
||||
<svg height="1em" style="flex:none;line-height:1" viewBox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><title>Doubao</title><path d="M5.31 15.756c.172-3.75 1.883-5.999 2.549-6.739-3.26 2.058-5.425 5.658-6.358 8.308v1.12C1.501 21.513 4.226 24 7.59 24a6.59 6.59 0 002.2-.375c.353-.12.7-.248 1.039-.378.913-.899 1.65-1.91 2.243-2.992-4.877 2.431-7.974.072-7.763-4.5l.002.001z" fill="#1E37FC"></path><path d="M22.57 10.283c-1.212-.901-4.109-2.404-7.397-2.8.295 3.792.093 8.766-2.1 12.773a12.782 12.782 0 01-2.244 2.992c3.764-1.448 6.746-3.457 8.596-5.219 2.82-2.683 3.353-5.178 3.361-6.66a2.737 2.737 0 00-.216-1.084v-.002z" fill="#37E1BE"></path><path d="M14.303 1.867C12.955.7 11.248 0 9.39 0 7.532 0 5.883.677 4.545 1.807 2.791 3.29 1.627 5.557 1.5 8.125v9.201c.932-2.65 3.097-6.25 6.357-8.307.5-.318 1.025-.595 1.569-.829 1.883-.801 3.878-.932 5.746-.706-.222-2.83-.718-5.002-.87-5.617h.001z" fill="#A569FF"></path><path d="M17.305 4.961a199.47 199.47 0 01-1.08-1.094c-.202-.213-.398-.419-.586-.622l-1.333-1.378c.151.615.648 2.786.869 5.617 3.288.395 6.185 1.898 7.396 2.8-1.306-1.275-3.475-3.487-5.266-5.323z" fill="#1E37FC"></path></svg>
|
||||
|
After Width: | Height: | Size: 1.1 KiB |
@@ -22,6 +22,7 @@
|
||||
"@/*": ["./*"]
|
||||
}
|
||||
},
|
||||
"files": ["electron/electron.d.ts"],
|
||||
"include": [
|
||||
"next-env.d.ts",
|
||||
"**/*.ts",
|
||||
|
||||
Reference in New Issue
Block a user