mirror of
https://github.com/DayuanJiang/next-ai-draw-io.git
synced 2026-01-09 17:52:30 +08:00
Compare commits
4 Commits
main
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feature/ur
| Author | SHA1 | Date | |
|---|---|---|---|
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1198cc2a9b | ||
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a61e89d6d0 | ||
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580d42f535 | ||
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64268b0fac |
60
.github/workflows/electron-release.yml
vendored
60
.github/workflows/electron-release.yml
vendored
@@ -11,8 +11,7 @@ on:
|
||||
required: false
|
||||
|
||||
jobs:
|
||||
# Mac and Linux: Build and publish directly (no signing needed)
|
||||
build-mac-linux:
|
||||
build:
|
||||
permissions:
|
||||
contents: write
|
||||
strategy:
|
||||
@@ -21,9 +20,13 @@ jobs:
|
||||
include:
|
||||
- os: macos-latest
|
||||
platform: mac
|
||||
- os: windows-latest
|
||||
platform: win
|
||||
- os: ubuntu-latest
|
||||
platform: linux
|
||||
|
||||
runs-on: ${{ matrix.os }}
|
||||
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v6
|
||||
@@ -37,58 +40,7 @@ jobs:
|
||||
- name: Install dependencies
|
||||
run: npm install
|
||||
|
||||
- name: Build and publish
|
||||
- name: Build and publish Electron app
|
||||
run: npm run dist:${{ matrix.platform }}
|
||||
env:
|
||||
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
|
||||
# Windows: Build, sign with SignPath, then publish
|
||||
build-windows:
|
||||
permissions:
|
||||
contents: write
|
||||
runs-on: windows-latest
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v6
|
||||
|
||||
- name: Setup Node.js
|
||||
uses: actions/setup-node@v6
|
||||
with:
|
||||
node-version: 24
|
||||
cache: "npm"
|
||||
|
||||
- name: Install dependencies
|
||||
run: npm install
|
||||
|
||||
# Build WITHOUT publishing
|
||||
- name: Build Windows app
|
||||
run: npm run dist:win:build
|
||||
env:
|
||||
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
|
||||
- name: Upload unsigned artifacts for signing
|
||||
uses: actions/upload-artifact@v4
|
||||
id: upload-unsigned
|
||||
with:
|
||||
name: windows-unsigned
|
||||
path: release/*.exe
|
||||
retention-days: 1
|
||||
|
||||
- name: Sign with SignPath
|
||||
uses: signpath/github-action-submit-signing-request@v2
|
||||
with:
|
||||
api-token: ${{ secrets.SIGNPATH_API_TOKEN }}
|
||||
organization-id: '880a211d-2cd3-4e7b-8d04-3d1f8eb39df5'
|
||||
project-slug: 'next-ai-draw-io'
|
||||
signing-policy-slug: 'test-signing'
|
||||
artifact-configuration-slug: 'windows-exe'
|
||||
github-artifact-id: ${{ steps.upload-unsigned.outputs.artifact-id }}
|
||||
wait-for-completion: true
|
||||
output-artifact-directory: release-signed
|
||||
|
||||
- name: Upload signed artifacts to release
|
||||
uses: softprops/action-gh-release@v2
|
||||
with:
|
||||
files: release-signed/*.exe
|
||||
env:
|
||||
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
|
||||
|
||||
10
README.md
10
README.md
@@ -40,12 +40,11 @@ https://github.com/user-attachments/assets/9d60a3e8-4a1c-4b5e-acbb-26af2d3eabd1
|
||||
- [Installation](#installation)
|
||||
- [Deployment](#deployment)
|
||||
- [Deploy to EdgeOne Pages](#deploy-to-edgeone-pages)
|
||||
- [Deploy on Vercel](#deploy-on-vercel)
|
||||
- [Deploy on Vercel (Recommended)](#deploy-on-vercel-recommended)
|
||||
- [Deploy on Cloudflare Workers](#deploy-on-cloudflare-workers)
|
||||
- [Multi-Provider Support](#multi-provider-support)
|
||||
- [How It Works](#how-it-works)
|
||||
- [Support \& Contact](#support--contact)
|
||||
- [FAQ](#faq)
|
||||
- [Star History](#star-history)
|
||||
|
||||
## Examples
|
||||
@@ -186,7 +185,7 @@ Check out the [Tencent EdgeOne Pages documentation](https://pages.edgeone.ai/doc
|
||||
|
||||
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
|
||||
### Deploy on Vercel (Recommended)
|
||||
|
||||
[](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
|
||||
|
||||
@@ -212,7 +211,6 @@ See the [Next.js deployment documentation](https://nextjs.org/docs/app/building-
|
||||
- OpenRouter
|
||||
- DeepSeek
|
||||
- SiliconFlow
|
||||
- ModelScope
|
||||
- SGLang
|
||||
- Vercel AI Gateway
|
||||
|
||||
@@ -247,10 +245,6 @@ For support or inquiries, please open an issue on the GitHub repository or conta
|
||||
|
||||
- Email: me[at]jiang.jp
|
||||
|
||||
## FAQ
|
||||
|
||||
See [FAQ](./docs/en/FAQ.md) for common issues and solutions.
|
||||
|
||||
## Star History
|
||||
|
||||
[](https://www.star-history.com/#DayuanJiang/next-ai-draw-io&type=date&legend=top-left)
|
||||
|
||||
@@ -10,7 +10,18 @@ export const metadata: Metadata = {
|
||||
keywords: ["AI图表", "draw.io", "AWS架构", "GCP图表", "Azure图表", "LLM"],
|
||||
}
|
||||
|
||||
function formatNumber(num: number): string {
|
||||
if (num >= 1000) {
|
||||
return `${num / 1000}k`
|
||||
}
|
||||
return num.toString()
|
||||
}
|
||||
|
||||
export default function AboutCN() {
|
||||
const dailyRequestLimit = Number(process.env.DAILY_REQUEST_LIMIT) || 20
|
||||
const dailyTokenLimit = Number(process.env.DAILY_TOKEN_LIMIT) || 500000
|
||||
const tpmLimit = Number(process.env.TPM_LIMIT) || 50000
|
||||
|
||||
return (
|
||||
<div className="min-h-screen bg-gray-50">
|
||||
{/* Navigation */}
|
||||
@@ -97,6 +108,42 @@ export default function AboutCN() {
|
||||
</p>
|
||||
</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="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>
|
||||
|
||||
{/* Divider */}
|
||||
<div className="flex items-center gap-3 my-5">
|
||||
<div className="flex-1 h-px bg-gradient-to-r from-transparent via-amber-300 to-transparent" />
|
||||
</div>
|
||||
|
||||
{/* Bring Your Own Key */}
|
||||
<div className="text-center">
|
||||
<h4 className="text-base font-bold text-gray-900 mb-2">
|
||||
@@ -297,7 +344,6 @@ export default function AboutCN() {
|
||||
<li>OpenRouter</li>
|
||||
<li>DeepSeek</li>
|
||||
<li>SiliconFlow</li>
|
||||
<li>ModelScope</li>
|
||||
</ul>
|
||||
<p className="text-gray-700 mt-4">
|
||||
注意:<code>claude-sonnet-4-5</code>{" "}
|
||||
|
||||
@@ -17,7 +17,18 @@ export const metadata: Metadata = {
|
||||
],
|
||||
}
|
||||
|
||||
function formatNumber(num: number): string {
|
||||
if (num >= 1000) {
|
||||
return `${num / 1000}k`
|
||||
}
|
||||
return num.toString()
|
||||
}
|
||||
|
||||
export default function AboutJA() {
|
||||
const dailyRequestLimit = Number(process.env.DAILY_REQUEST_LIMIT) || 20
|
||||
const dailyTokenLimit = Number(process.env.DAILY_TOKEN_LIMIT) || 500000
|
||||
const tpmLimit = Number(process.env.TPM_LIMIT) || 50000
|
||||
|
||||
return (
|
||||
<div className="min-h-screen bg-gray-50">
|
||||
{/* Navigation */}
|
||||
@@ -105,6 +116,42 @@ export default function AboutJA() {
|
||||
</p>
|
||||
</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="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>
|
||||
|
||||
{/* Divider */}
|
||||
<div className="flex items-center gap-3 my-5">
|
||||
<div className="flex-1 h-px bg-gradient-to-r from-transparent via-amber-300 to-transparent" />
|
||||
</div>
|
||||
|
||||
{/* Bring Your Own Key */}
|
||||
<div className="text-center">
|
||||
<h4 className="text-base font-bold text-gray-900 mb-2">
|
||||
@@ -312,7 +359,6 @@ export default function AboutJA() {
|
||||
<li>OpenRouter</li>
|
||||
<li>DeepSeek</li>
|
||||
<li>SiliconFlow</li>
|
||||
<li>ModelScope</li>
|
||||
</ul>
|
||||
<p className="text-gray-700 mt-4">
|
||||
注:<code>claude-sonnet-4-5</code>
|
||||
|
||||
@@ -17,7 +17,18 @@ export const metadata: Metadata = {
|
||||
],
|
||||
}
|
||||
|
||||
function formatNumber(num: number): string {
|
||||
if (num >= 1000) {
|
||||
return `${num / 1000}k`
|
||||
}
|
||||
return num.toString()
|
||||
}
|
||||
|
||||
export default function About() {
|
||||
const dailyRequestLimit = Number(process.env.DAILY_REQUEST_LIMIT) || 20
|
||||
const dailyTokenLimit = Number(process.env.DAILY_TOKEN_LIMIT) || 500000
|
||||
const tpmLimit = Number(process.env.TPM_LIMIT) || 50000
|
||||
|
||||
return (
|
||||
<div className="min-h-screen bg-gray-50">
|
||||
{/* Navigation */}
|
||||
@@ -107,6 +118,42 @@ export default function About() {
|
||||
</p>
|
||||
</div>
|
||||
|
||||
{/* Usage Limits */}
|
||||
<p className="text-sm text-gray-600 mb-3">
|
||||
Please note the current usage limits:
|
||||
</p>
|
||||
<div className="grid grid-cols-3 gap-3 mb-5">
|
||||
<div className="text-center p-3 bg-white/60 rounded-lg">
|
||||
<p className="text-lg font-bold text-amber-600">
|
||||
{formatNumber(dailyRequestLimit)}
|
||||
</p>
|
||||
<p className="text-xs text-gray-500">
|
||||
requests/day
|
||||
</p>
|
||||
</div>
|
||||
<div className="text-center p-3 bg-white/60 rounded-lg">
|
||||
<p className="text-lg font-bold text-amber-600">
|
||||
{formatNumber(dailyTokenLimit)}
|
||||
</p>
|
||||
<p className="text-xs text-gray-500">
|
||||
tokens/day
|
||||
</p>
|
||||
</div>
|
||||
<div className="text-center p-3 bg-white/60 rounded-lg">
|
||||
<p className="text-lg font-bold text-amber-600">
|
||||
{formatNumber(tpmLimit)}
|
||||
</p>
|
||||
<p className="text-xs text-gray-500">
|
||||
tokens/min
|
||||
</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Divider */}
|
||||
<div className="flex items-center gap-3 my-5">
|
||||
<div className="flex-1 h-px bg-gradient-to-r from-transparent via-amber-300 to-transparent" />
|
||||
</div>
|
||||
|
||||
{/* Bring Your Own Key */}
|
||||
<div className="text-center">
|
||||
<h4 className="text-base font-bold text-gray-900 mb-2">
|
||||
@@ -331,7 +378,6 @@ export default function About() {
|
||||
<li>OpenRouter</li>
|
||||
<li>DeepSeek</li>
|
||||
<li>SiliconFlow</li>
|
||||
<li>ModelScope</li>
|
||||
</ul>
|
||||
<p className="text-gray-700 mt-4">
|
||||
Note that <code>claude-sonnet-4-5</code> has trained on
|
||||
|
||||
@@ -202,7 +202,7 @@ export async function POST(req: Request) {
|
||||
case "siliconflow": {
|
||||
const sf = createOpenAI({
|
||||
apiKey,
|
||||
baseURL: baseUrl || "https://api.siliconflow.cn/v1",
|
||||
baseURL: baseUrl || "https://api.siliconflow.com/v1",
|
||||
})
|
||||
model = sf.chat(modelId)
|
||||
break
|
||||
@@ -274,75 +274,6 @@ export async function POST(req: Request) {
|
||||
break
|
||||
}
|
||||
|
||||
case "modelscope": {
|
||||
const baseURL =
|
||||
baseUrl || "https://api-inference.modelscope.cn/v1"
|
||||
const startTime = Date.now()
|
||||
|
||||
try {
|
||||
// Initiate a streaming request (required for QwQ-32B and certain Qwen3 models)
|
||||
const response = await fetch(
|
||||
`${baseURL}/chat/completions`,
|
||||
{
|
||||
method: "POST",
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
Authorization: `Bearer ${apiKey}`,
|
||||
},
|
||||
body: JSON.stringify({
|
||||
model: modelId,
|
||||
messages: [
|
||||
{ role: "user", content: "Say 'OK'" },
|
||||
],
|
||||
max_tokens: 20,
|
||||
stream: true,
|
||||
enable_thinking: false,
|
||||
}),
|
||||
},
|
||||
)
|
||||
|
||||
if (!response.ok) {
|
||||
const errorText = await response.text()
|
||||
throw new Error(
|
||||
`ModelScope API error (${response.status}): ${errorText}`,
|
||||
)
|
||||
}
|
||||
|
||||
const contentType =
|
||||
response.headers.get("content-type") || ""
|
||||
const isValidStreamingResponse =
|
||||
response.status === 200 &&
|
||||
(contentType.includes("text/event-stream") ||
|
||||
contentType.includes("application/json"))
|
||||
|
||||
if (!isValidStreamingResponse) {
|
||||
throw new Error(
|
||||
`Unexpected response format: ${contentType}`,
|
||||
)
|
||||
}
|
||||
|
||||
const responseTime = Date.now() - startTime
|
||||
|
||||
if (response.body) {
|
||||
response.body.cancel().catch(() => {
|
||||
/* Ignore cancellation errors */
|
||||
})
|
||||
}
|
||||
|
||||
return NextResponse.json({
|
||||
valid: true,
|
||||
responseTime,
|
||||
note: "ModelScope model validated (using streaming API)",
|
||||
})
|
||||
} catch (error) {
|
||||
console.error(
|
||||
"[validate-model] ModelScope validation failed:",
|
||||
error,
|
||||
)
|
||||
throw error
|
||||
}
|
||||
}
|
||||
|
||||
default:
|
||||
return NextResponse.json(
|
||||
{ valid: false, error: `Unknown provider: ${provider}` },
|
||||
|
||||
@@ -347,12 +347,6 @@ export function ChatInput({
|
||||
|
||||
setShowUrlDialog(false)
|
||||
} catch (error) {
|
||||
// Remove the URL from the data map on error
|
||||
const newUrlData = urlData
|
||||
? new Map(urlData)
|
||||
: new Map<string, UrlData>()
|
||||
newUrlData.delete(url)
|
||||
onUrlChange(newUrlData)
|
||||
showErrorToast(
|
||||
<span className="text-muted-foreground">
|
||||
{error instanceof Error
|
||||
|
||||
@@ -79,7 +79,6 @@ const PROVIDER_LOGO_MAP: Record<string, string> = {
|
||||
gateway: "vercel",
|
||||
edgeone: "tencent-cloud",
|
||||
doubao: "bytedance",
|
||||
modelscope: "modelscope",
|
||||
}
|
||||
|
||||
// Provider logo component
|
||||
|
||||
@@ -50,7 +50,6 @@ const PROVIDER_LOGO_MAP: Record<string, string> = {
|
||||
gateway: "vercel",
|
||||
edgeone: "tencent-cloud",
|
||||
doubao: "bytedance",
|
||||
modelscope: "modelscope",
|
||||
}
|
||||
|
||||
// Group models by providerLabel (handles duplicate providers)
|
||||
|
||||
@@ -3,7 +3,6 @@
|
||||
import { Github, Info, Moon, Sun, Tag } from "lucide-react"
|
||||
import { usePathname, useRouter, useSearchParams } from "next/navigation"
|
||||
import { Suspense, useEffect, useState } from "react"
|
||||
import { toast } from "sonner"
|
||||
import { Button } from "@/components/ui/button"
|
||||
import {
|
||||
Dialog,
|
||||
@@ -104,11 +103,6 @@ function SettingsContent({
|
||||
)
|
||||
const [currentLang, setCurrentLang] = useState("en")
|
||||
|
||||
// Proxy settings state (Electron only)
|
||||
const [httpProxy, setHttpProxy] = useState("")
|
||||
const [httpsProxy, setHttpsProxy] = useState("")
|
||||
const [isApplyingProxy, setIsApplyingProxy] = useState(false)
|
||||
|
||||
useEffect(() => {
|
||||
// Only fetch if not cached in localStorage
|
||||
if (getStoredAccessCodeRequired() !== null) return
|
||||
@@ -156,14 +150,6 @@ function SettingsContent({
|
||||
setCloseProtection(storedCloseProtection !== "false")
|
||||
|
||||
setError("")
|
||||
|
||||
// Load proxy settings (Electron only)
|
||||
if (window.electronAPI?.getProxy) {
|
||||
window.electronAPI.getProxy().then((config) => {
|
||||
setHttpProxy(config.httpProxy || "")
|
||||
setHttpsProxy(config.httpsProxy || "")
|
||||
})
|
||||
}
|
||||
}
|
||||
}, [open])
|
||||
|
||||
@@ -222,46 +208,6 @@ function SettingsContent({
|
||||
}
|
||||
}
|
||||
|
||||
const handleApplyProxy = async () => {
|
||||
if (!window.electronAPI?.setProxy) return
|
||||
|
||||
// Validate proxy URLs (must start with http:// or https://)
|
||||
const validateProxyUrl = (url: string): boolean => {
|
||||
if (!url) return true // Empty is OK
|
||||
return url.startsWith("http://") || url.startsWith("https://")
|
||||
}
|
||||
|
||||
const trimmedHttp = httpProxy.trim()
|
||||
const trimmedHttps = httpsProxy.trim()
|
||||
|
||||
if (trimmedHttp && !validateProxyUrl(trimmedHttp)) {
|
||||
toast.error("HTTP Proxy must start with http:// or https://")
|
||||
return
|
||||
}
|
||||
if (trimmedHttps && !validateProxyUrl(trimmedHttps)) {
|
||||
toast.error("HTTPS Proxy must start with http:// or https://")
|
||||
return
|
||||
}
|
||||
|
||||
setIsApplyingProxy(true)
|
||||
try {
|
||||
const result = await window.electronAPI.setProxy({
|
||||
httpProxy: trimmedHttp || undefined,
|
||||
httpsProxy: trimmedHttps || undefined,
|
||||
})
|
||||
|
||||
if (result.success) {
|
||||
toast.success(dict.settings.proxyApplied)
|
||||
} else {
|
||||
toast.error(result.error || "Failed to apply proxy settings")
|
||||
}
|
||||
} catch {
|
||||
toast.error("Failed to apply proxy settings")
|
||||
} finally {
|
||||
setIsApplyingProxy(false)
|
||||
}
|
||||
}
|
||||
|
||||
return (
|
||||
<DialogContent className="sm:max-w-lg p-0 gap-0">
|
||||
{/* Header */}
|
||||
@@ -424,54 +370,6 @@ function SettingsContent({
|
||||
</span>
|
||||
</div>
|
||||
</SettingItem>
|
||||
|
||||
{/* Proxy Settings - Electron only */}
|
||||
{typeof window !== "undefined" &&
|
||||
window.electronAPI?.isElectron && (
|
||||
<div className="py-4 space-y-3">
|
||||
<div className="space-y-0.5">
|
||||
<Label className="text-sm font-medium">
|
||||
{dict.settings.proxy}
|
||||
</Label>
|
||||
<p className="text-xs text-muted-foreground">
|
||||
{dict.settings.proxyDescription}
|
||||
</p>
|
||||
</div>
|
||||
|
||||
<div className="space-y-2">
|
||||
<Input
|
||||
id="http-proxy"
|
||||
type="text"
|
||||
value={httpProxy}
|
||||
onChange={(e) =>
|
||||
setHttpProxy(e.target.value)
|
||||
}
|
||||
placeholder={`${dict.settings.httpProxy}: http://proxy:8080`}
|
||||
className="h-9"
|
||||
/>
|
||||
<Input
|
||||
id="https-proxy"
|
||||
type="text"
|
||||
value={httpsProxy}
|
||||
onChange={(e) =>
|
||||
setHttpsProxy(e.target.value)
|
||||
}
|
||||
placeholder={`${dict.settings.httpsProxy}: http://proxy:8080`}
|
||||
className="h-9"
|
||||
/>
|
||||
</div>
|
||||
|
||||
<Button
|
||||
onClick={handleApplyProxy}
|
||||
disabled={isApplyingProxy}
|
||||
className="h-9 px-4 rounded-xl w-full"
|
||||
>
|
||||
{isApplyingProxy
|
||||
? "..."
|
||||
: dict.settings.applyProxy}
|
||||
</Button>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
|
||||
|
||||
@@ -35,14 +35,14 @@ export function UrlInputDialog({
|
||||
setError("")
|
||||
|
||||
if (!url.trim()) {
|
||||
setError(dict.url.enterUrl)
|
||||
setError("Please enter a URL")
|
||||
return
|
||||
}
|
||||
|
||||
try {
|
||||
new URL(url)
|
||||
} catch {
|
||||
setError(dict.url.invalidFormat)
|
||||
setError("Invalid URL format")
|
||||
return
|
||||
}
|
||||
|
||||
|
||||
@@ -1,78 +0,0 @@
|
||||
# 常见问题解答 (FAQ)
|
||||
|
||||
---
|
||||
|
||||
## 1. 无法导出 PDF
|
||||
|
||||
**问题**: Web 版点击导出 PDF 后跳转到 `convert.diagrams.net/node/export` 然后无响应
|
||||
|
||||
**原因**: 嵌入式 Draw.io 不支持直接 PDF 导出,依赖外部转换服务,在 iframe 中无法正常工作
|
||||
|
||||
**解决方案**: 先导出为图片(PNG),再打印转成 PDF
|
||||
|
||||
**相关 Issue**: #539, #125
|
||||
|
||||
---
|
||||
|
||||
## 2. 无法访问 embed.diagrams.net(离线/内网部署)
|
||||
|
||||
**问题**: 内网环境提示"找不到 embed.diagrams.net 的服务器 IP 地址"
|
||||
|
||||
**关键点**: `NEXT_PUBLIC_*` 环境变量是**构建时**变量,会被打包到 JS 代码中,**运行时设置无效**!
|
||||
|
||||
**解决方案**: 必须在构建时通过 `args` 传入:
|
||||
|
||||
```yaml
|
||||
# docker-compose.yml
|
||||
services:
|
||||
drawio:
|
||||
image: jgraph/drawio:latest
|
||||
ports: ["8080:8080"]
|
||||
next-ai-draw-io:
|
||||
build:
|
||||
context: .
|
||||
args:
|
||||
- NEXT_PUBLIC_DRAWIO_BASE_URL=http://你的服务器IP:8080/
|
||||
ports: ["3000:3000"]
|
||||
env_file: .env
|
||||
```
|
||||
|
||||
**内网用户**: 在外网修改 Dockerfile 并构建镜像,再传到内网使用
|
||||
|
||||
**相关 Issue**: #295, #317
|
||||
|
||||
---
|
||||
|
||||
## 3. 自建模型只思考不画图
|
||||
|
||||
**问题**: 本地部署的模型(如 Qwen、LiteLLM)只输出思考过程,不生成图表
|
||||
|
||||
**可能原因**:
|
||||
1. **模型太小** - 小模型难以正确遵循 tool calling 指令,建议使用 32B+ 参数的模型
|
||||
2. **未开启 tool calling** - 模型服务需要配置 tool use 功能
|
||||
|
||||
**解决方案**: 开启 tool calling,例如 vLLM:
|
||||
```bash
|
||||
python -m vllm.entrypoints.openai.api_server \
|
||||
--model Qwen/Qwen3-32B \
|
||||
--enable-auto-tool-choice \
|
||||
--tool-call-parser hermes
|
||||
```
|
||||
|
||||
**相关 Issue**: #269, #75
|
||||
|
||||
---
|
||||
|
||||
## 4. 上传图片后提示"未提供图片"
|
||||
|
||||
**问题**: 上传图片后,系统显示"未提供图片"错误
|
||||
|
||||
**可能原因**:
|
||||
1. 模型不支持视觉功能(如 Kimi K2、DeepSeek、Qwen 文本模型)
|
||||
|
||||
**解决方案**:
|
||||
- 使用支持视觉的模型:GPT-5.2、Claude 4.5 Sonnet、Gemini 3 Pro
|
||||
- 模型名带 `vision` 或 `vl` 的支持图片
|
||||
- 更新到最新版本(v0.4.9+)
|
||||
|
||||
**相关 Issue**: #324, #421, #469
|
||||
@@ -37,12 +37,11 @@ https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
|
||||
- [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](#部署到vercel)
|
||||
- [部署到Vercel(推荐)](#部署到vercel推荐)
|
||||
- [部署到Cloudflare Workers](#部署到cloudflare-workers)
|
||||
- [多提供商支持](#多提供商支持)
|
||||
- [工作原理](#工作原理)
|
||||
- [支持与联系](#支持与联系)
|
||||
- [常见问题](#常见问题)
|
||||
- [Star历史](#star历史)
|
||||
|
||||
## 示例
|
||||
@@ -180,7 +179,7 @@ npm run dev
|
||||
|
||||
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
|
||||
### 部署到Vercel(推荐)
|
||||
|
||||
[](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
|
||||
|
||||
@@ -205,7 +204,6 @@ npm run dev
|
||||
- OpenRouter
|
||||
- DeepSeek
|
||||
- SiliconFlow
|
||||
- ModelScope
|
||||
- SGLang
|
||||
- Vercel AI Gateway
|
||||
|
||||
@@ -239,10 +237,6 @@ npm run dev
|
||||
|
||||
- 邮箱:me[at]jiang.jp
|
||||
|
||||
## 常见问题
|
||||
|
||||
请参阅 [FAQ](./FAQ.md) 了解常见问题和解决方案。
|
||||
|
||||
## Star历史
|
||||
|
||||
[](https://www.star-history.com/#DayuanJiang/next-ai-draw-io&type=date&legend=top-left)
|
||||
|
||||
@@ -152,19 +152,6 @@ AI_PROVIDER=ollama
|
||||
AI_MODEL=llama3.2
|
||||
```
|
||||
|
||||
### ModelScope
|
||||
|
||||
```bash
|
||||
MODELSCOPE_API_KEY=your_api_key
|
||||
AI_MODEL=Qwen/Qwen3-235B-A22B-Instruct-2507
|
||||
```
|
||||
|
||||
可选的自定义端点:
|
||||
|
||||
```bash
|
||||
MODELSCOPE_BASE_URL=https://your-custom-endpoint
|
||||
```
|
||||
|
||||
可选的自定义 URL:
|
||||
|
||||
```bash
|
||||
|
||||
@@ -1,78 +0,0 @@
|
||||
# Frequently Asked Questions (FAQ)
|
||||
|
||||
---
|
||||
|
||||
## 1. Cannot Export PDF
|
||||
|
||||
**Problem**: Web version redirects to `convert.diagrams.net/node/export` when exporting PDF, then nothing happens
|
||||
|
||||
**Cause**: Embedded Draw.io doesn't support direct PDF export, it relies on external conversion service which doesn't work in iframe
|
||||
|
||||
**Solution**: Export as image (PNG) first, then print to PDF
|
||||
|
||||
**Related Issues**: #539, #125
|
||||
|
||||
---
|
||||
|
||||
## 2. Cannot Access embed.diagrams.net (Offline/Intranet Deployment)
|
||||
|
||||
**Problem**: Intranet environment shows "Cannot find server IP address for embed.diagrams.net"
|
||||
|
||||
**Key Point**: `NEXT_PUBLIC_*` environment variables are **build-time** variables, they get bundled into JS code. **Runtime settings don't work!**
|
||||
|
||||
**Solution**: Must pass via `args` at build time:
|
||||
|
||||
```yaml
|
||||
# docker-compose.yml
|
||||
services:
|
||||
drawio:
|
||||
image: jgraph/drawio:latest
|
||||
ports: ["8080:8080"]
|
||||
next-ai-draw-io:
|
||||
build:
|
||||
context: .
|
||||
args:
|
||||
- NEXT_PUBLIC_DRAWIO_BASE_URL=http://your-server-ip:8080/
|
||||
ports: ["3000:3000"]
|
||||
env_file: .env
|
||||
```
|
||||
|
||||
**Intranet Users**: Modify Dockerfile and build image on external network, then transfer to intranet
|
||||
|
||||
**Related Issues**: #295, #317
|
||||
|
||||
---
|
||||
|
||||
## 3. Self-hosted Model Only Thinks But Doesn't Draw
|
||||
|
||||
**Problem**: Locally deployed models (e.g., Qwen, LiteLLM) only output thinking process, don't generate diagrams
|
||||
|
||||
**Possible Causes**:
|
||||
1. **Model too small** - Small models struggle to follow tool calling instructions correctly, recommend 32B+ parameter models
|
||||
2. **Tool calling not enabled** - Model service needs tool use configuration
|
||||
|
||||
**Solution**: Enable tool calling, e.g., vLLM:
|
||||
```bash
|
||||
python -m vllm.entrypoints.openai.api_server \
|
||||
--model Qwen/Qwen3-32B \
|
||||
--enable-auto-tool-choice \
|
||||
--tool-call-parser hermes
|
||||
```
|
||||
|
||||
**Related Issues**: #269, #75
|
||||
|
||||
---
|
||||
|
||||
## 4. "No Image Provided" After Uploading Image
|
||||
|
||||
**Problem**: After uploading an image, the system shows "No image provided" error
|
||||
|
||||
**Possible Causes**:
|
||||
1. Model doesn't support vision (e.g., Kimi K2, DeepSeek, Qwen text models)
|
||||
|
||||
**Solution**:
|
||||
- Use vision-capable models: GPT-5.2, Claude 4.5 Sonnet, Gemini 3 Pro
|
||||
- Models with `vision` or `vl` in name support images
|
||||
- Update to latest version (v0.4.9+)
|
||||
|
||||
**Related Issues**: #324, #421, #469
|
||||
@@ -158,19 +158,6 @@ Optional custom URL:
|
||||
OLLAMA_BASE_URL=http://localhost:11434
|
||||
```
|
||||
|
||||
### ModelScope
|
||||
|
||||
```bash
|
||||
MODELSCOPE_API_KEY=your_api_key
|
||||
AI_MODEL=Qwen/Qwen3-235B-A22B-Instruct-2507
|
||||
```
|
||||
|
||||
Optional custom endpoint:
|
||||
|
||||
```bash
|
||||
MODELSCOPE_BASE_URL=https://your-custom-endpoint
|
||||
```
|
||||
|
||||
### Vercel AI Gateway
|
||||
|
||||
Vercel AI Gateway provides unified access to multiple AI providers through a single API key. This simplifies authentication and allows you to switch between providers without managing multiple API keys.
|
||||
@@ -214,7 +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, doubao, azure, bedrock, openrouter, ollama, gateway, sglang, modelscope
|
||||
AI_PROVIDER=google # or: openai, anthropic, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang
|
||||
```
|
||||
|
||||
## Model Capability Requirements
|
||||
|
||||
@@ -1,78 +0,0 @@
|
||||
# よくある質問 (FAQ)
|
||||
|
||||
---
|
||||
|
||||
## 1. PDFをエクスポートできない
|
||||
|
||||
**問題**: Web版でPDFエクスポートをクリックすると `convert.diagrams.net/node/export` にリダイレクトされ、その後何も起こらない
|
||||
|
||||
**原因**: 埋め込みDraw.ioは直接PDFエクスポートをサポートしておらず、外部変換サービスに依存しているが、iframe内では正常に動作しない
|
||||
|
||||
**解決策**: まず画像(PNG)としてエクスポートし、その後PDFに印刷する
|
||||
|
||||
**関連Issue**: #539, #125
|
||||
|
||||
---
|
||||
|
||||
## 2. embed.diagrams.netにアクセスできない(オフライン/イントラネットデプロイ)
|
||||
|
||||
**問題**: イントラネット環境で「embed.diagrams.netのサーバーIPアドレスが見つかりません」と表示される
|
||||
|
||||
**重要**: `NEXT_PUBLIC_*` 環境変数は**ビルド時**変数であり、JSコードにバンドルされます。**実行時の設定は無効です!**
|
||||
|
||||
**解決策**: ビルド時に `args` で渡す必要があります:
|
||||
|
||||
```yaml
|
||||
# docker-compose.yml
|
||||
services:
|
||||
drawio:
|
||||
image: jgraph/drawio:latest
|
||||
ports: ["8080:8080"]
|
||||
next-ai-draw-io:
|
||||
build:
|
||||
context: .
|
||||
args:
|
||||
- NEXT_PUBLIC_DRAWIO_BASE_URL=http://あなたのサーバーIP:8080/
|
||||
ports: ["3000:3000"]
|
||||
env_file: .env
|
||||
```
|
||||
|
||||
**イントラネットユーザー**: 外部ネットワークでDockerfileを修正してイメージをビルドし、イントラネットに転送する
|
||||
|
||||
**関連Issue**: #295, #317
|
||||
|
||||
---
|
||||
|
||||
## 3. 自前モデルが思考するだけで描画しない
|
||||
|
||||
**問題**: ローカルデプロイのモデル(Qwen、LiteLLMなど)が思考過程のみを出力し、図表を生成しない
|
||||
|
||||
**考えられる原因**:
|
||||
1. **モデルが小さすぎる** - 小さいモデルはtool calling指示に正しく従うことが難しい、32B+パラメータのモデルを推奨
|
||||
2. **tool callingが有効になっていない** - モデルサービスでtool use機能を設定する必要がある
|
||||
|
||||
**解決策**: tool callingを有効にする、例えばvLLM:
|
||||
```bash
|
||||
python -m vllm.entrypoints.openai.api_server \
|
||||
--model Qwen/Qwen3-32B \
|
||||
--enable-auto-tool-choice \
|
||||
--tool-call-parser hermes
|
||||
```
|
||||
|
||||
**関連Issue**: #269, #75
|
||||
|
||||
---
|
||||
|
||||
## 4. 画像アップロード後「画像が提供されていません」と表示される
|
||||
|
||||
**問題**: 画像をアップロードした後、「画像が提供されていません」というエラーが表示される
|
||||
|
||||
**考えられる原因**:
|
||||
1. モデルがビジョン機能をサポートしていない(Kimi K2、DeepSeek、Qwenテキストモデルなど)
|
||||
|
||||
**解決策**:
|
||||
- ビジョン対応モデルを使用:GPT-5.2、Claude 4.5 Sonnet、Gemini 3 Pro
|
||||
- モデル名に `vision` または `vl` が含まれているものは画像をサポート
|
||||
- 最新バージョン(v0.4.9+)にアップデート
|
||||
|
||||
**関連Issue**: #324, #421, #469
|
||||
@@ -37,12 +37,11 @@ https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
|
||||
- [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](#vercelへのデプロイ)
|
||||
- [Vercelへのデプロイ(推奨)](#vercelへのデプロイ推奨)
|
||||
- [Cloudflare Workersへのデプロイ](#cloudflare-workersへのデプロイ)
|
||||
- [マルチプロバイダーサポート](#マルチプロバイダーサポート)
|
||||
- [仕組み](#仕組み)
|
||||
- [サポート&お問い合わせ](#サポートお問い合わせ)
|
||||
- [よくある質問](#よくある質問)
|
||||
- [スター履歴](#スター履歴)
|
||||
|
||||
## 例
|
||||
@@ -181,7 +180,7 @@ npm run dev
|
||||
|
||||
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
|
||||
### 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)
|
||||
|
||||
@@ -206,7 +205,6 @@ Next.jsアプリをデプロイする最も簡単な方法は、Next.jsの作成
|
||||
- OpenRouter
|
||||
- DeepSeek
|
||||
- SiliconFlow
|
||||
- ModelScope
|
||||
- SGLang
|
||||
- Vercel AI Gateway
|
||||
|
||||
@@ -240,10 +238,6 @@ AWS BedrockとOpenRouter以外のすべてのプロバイダーはカスタム
|
||||
|
||||
- メール:me[at]jiang.jp
|
||||
|
||||
## よくある質問
|
||||
|
||||
一般的な問題と解決策については [FAQ](./FAQ.md) をご覧ください。
|
||||
|
||||
## スター履歴
|
||||
|
||||
[](https://www.star-history.com/#DayuanJiang/next-ai-draw-io&type=date&legend=top-left)
|
||||
|
||||
@@ -158,19 +158,6 @@ AI_MODEL=llama3.2
|
||||
OLLAMA_BASE_URL=http://localhost:11434
|
||||
```
|
||||
|
||||
### ModelScope
|
||||
|
||||
```bash
|
||||
MODELSCOPE_API_KEY=your_api_key
|
||||
AI_MODEL=Qwen/Qwen3-235B-A22B-Instruct-2507
|
||||
```
|
||||
|
||||
任意のカスタムエンドポイント:
|
||||
|
||||
```bash
|
||||
MODELSCOPE_BASE_URL=https://your-custom-endpoint
|
||||
```
|
||||
|
||||
### 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。
|
||||
|
||||
19
electron/electron.d.ts
vendored
19
electron/electron.d.ts
vendored
@@ -25,19 +25,6 @@ interface ApplyPresetResult {
|
||||
env?: Record<string, string>
|
||||
}
|
||||
|
||||
/** Proxy configuration interface */
|
||||
interface ProxyConfig {
|
||||
httpProxy?: string
|
||||
httpsProxy?: string
|
||||
}
|
||||
|
||||
/** Result of setting proxy */
|
||||
interface SetProxyResult {
|
||||
success: boolean
|
||||
error?: string
|
||||
devMode?: boolean
|
||||
}
|
||||
|
||||
declare global {
|
||||
interface Window {
|
||||
/** Main window Electron API */
|
||||
@@ -58,10 +45,6 @@ declare global {
|
||||
openFile: () => Promise<string | null>
|
||||
/** Save data to file via save dialog */
|
||||
saveFile: (data: string) => Promise<boolean>
|
||||
/** Get proxy configuration */
|
||||
getProxy: () => Promise<ProxyConfig>
|
||||
/** Set proxy configuration (saves and restarts server) */
|
||||
setProxy: (config: ProxyConfig) => Promise<SetProxyResult>
|
||||
}
|
||||
|
||||
/** Settings window Electron API */
|
||||
@@ -88,4 +71,4 @@ declare global {
|
||||
}
|
||||
}
|
||||
|
||||
export { ConfigPreset, ApplyPresetResult, ProxyConfig, SetProxyResult }
|
||||
export { ConfigPreset, ApplyPresetResult }
|
||||
|
||||
@@ -351,10 +351,6 @@ const PROVIDER_ENV_MAP: Record<string, { apiKey: string; baseUrl: string }> = {
|
||||
apiKey: "SILICONFLOW_API_KEY",
|
||||
baseUrl: "SILICONFLOW_BASE_URL",
|
||||
},
|
||||
modelscope: {
|
||||
apiKey: "MODELSCOPE_API_KEY",
|
||||
baseUrl: "MODELSCOPE_BASE_URL",
|
||||
},
|
||||
gateway: { apiKey: "AI_GATEWAY_API_KEY", baseUrl: "AI_GATEWAY_BASE_URL" },
|
||||
// bedrock and ollama don't use API keys in the same way
|
||||
bedrock: { apiKey: "", baseUrl: "" },
|
||||
|
||||
@@ -4,7 +4,6 @@ import { getCurrentPresetEnv } from "./config-manager"
|
||||
import { loadEnvFile } from "./env-loader"
|
||||
import { registerIpcHandlers } from "./ipc-handlers"
|
||||
import { startNextServer, stopNextServer } from "./next-server"
|
||||
import { applyProxyToEnv } from "./proxy-manager"
|
||||
import { registerSettingsWindowHandlers } from "./settings-window"
|
||||
import { createWindow, getMainWindow } from "./window-manager"
|
||||
|
||||
@@ -25,9 +24,6 @@ if (!gotTheLock) {
|
||||
// Load environment variables from .env files
|
||||
loadEnvFile()
|
||||
|
||||
// Apply proxy settings from saved config
|
||||
applyProxyToEnv()
|
||||
|
||||
// Apply saved preset environment variables (overrides .env)
|
||||
const presetEnv = getCurrentPresetEnv()
|
||||
for (const [key, value] of Object.entries(presetEnv)) {
|
||||
|
||||
@@ -11,12 +11,6 @@ import {
|
||||
updatePreset,
|
||||
} from "./config-manager"
|
||||
import { restartNextServer } from "./next-server"
|
||||
import {
|
||||
applyProxyToEnv,
|
||||
getProxyConfig,
|
||||
type ProxyConfig,
|
||||
saveProxyConfig,
|
||||
} from "./proxy-manager"
|
||||
|
||||
/**
|
||||
* Allowed configuration keys for presets
|
||||
@@ -215,40 +209,4 @@ export function registerIpcHandlers(): void {
|
||||
return setCurrentPreset(id)
|
||||
},
|
||||
)
|
||||
|
||||
// ==================== Proxy Settings ====================
|
||||
|
||||
ipcMain.handle("get-proxy", () => {
|
||||
return getProxyConfig()
|
||||
})
|
||||
|
||||
ipcMain.handle("set-proxy", async (_event, config: ProxyConfig) => {
|
||||
try {
|
||||
// Save config to file
|
||||
saveProxyConfig(config)
|
||||
|
||||
// Apply to current process environment
|
||||
applyProxyToEnv()
|
||||
|
||||
const isDev = process.env.NODE_ENV === "development"
|
||||
|
||||
if (isDev) {
|
||||
// In development, env vars are already applied
|
||||
// Next.js dev server may need manual restart
|
||||
return { success: true, devMode: true }
|
||||
}
|
||||
|
||||
// Production: restart Next.js server to pick up new env vars
|
||||
await restartNextServer()
|
||||
return { success: true }
|
||||
} catch (error) {
|
||||
return {
|
||||
success: false,
|
||||
error:
|
||||
error instanceof Error
|
||||
? error.message
|
||||
: "Failed to apply proxy settings",
|
||||
}
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
@@ -69,8 +69,6 @@ export async function startNextServer(): Promise<string> {
|
||||
NODE_ENV: "production",
|
||||
PORT: String(port),
|
||||
HOSTNAME: "localhost",
|
||||
// Enable Node.js built-in proxy support for fetch (Node.js 24+)
|
||||
NODE_USE_ENV_PROXY: "1",
|
||||
}
|
||||
|
||||
// Set cache directory to a writable location (user's app data folder)
|
||||
@@ -87,13 +85,6 @@ export async function startNextServer(): Promise<string> {
|
||||
}
|
||||
}
|
||||
|
||||
// Debug: log proxy-related env vars
|
||||
console.log("Proxy env vars being passed to server:", {
|
||||
HTTP_PROXY: env.HTTP_PROXY || env.http_proxy || "not set",
|
||||
HTTPS_PROXY: env.HTTPS_PROXY || env.https_proxy || "not set",
|
||||
NODE_USE_ENV_PROXY: env.NODE_USE_ENV_PROXY || "not set",
|
||||
})
|
||||
|
||||
// Use Electron's utilityProcess API for running Node.js in background
|
||||
// This is the recommended way to run Node.js code in Electron
|
||||
serverProcess = utilityProcess.fork(serverPath, [], {
|
||||
@@ -123,41 +114,13 @@ export async function startNextServer(): Promise<string> {
|
||||
}
|
||||
|
||||
/**
|
||||
* Stop the Next.js server process and wait for it to exit
|
||||
* Stop the Next.js server process
|
||||
*/
|
||||
export async function stopNextServer(): Promise<void> {
|
||||
export function stopNextServer(): void {
|
||||
if (serverProcess) {
|
||||
console.log("Stopping Next.js server...")
|
||||
|
||||
// Create a promise that resolves when the process exits
|
||||
const exitPromise = new Promise<void>((resolve) => {
|
||||
const proc = serverProcess
|
||||
if (!proc) {
|
||||
resolve()
|
||||
return
|
||||
}
|
||||
|
||||
const onExit = () => {
|
||||
resolve()
|
||||
}
|
||||
|
||||
proc.once("exit", onExit)
|
||||
|
||||
// Timeout after 5 seconds
|
||||
setTimeout(() => {
|
||||
proc.removeListener("exit", onExit)
|
||||
resolve()
|
||||
}, 5000)
|
||||
})
|
||||
|
||||
serverProcess.kill()
|
||||
serverProcess = null
|
||||
|
||||
// Wait for process to exit
|
||||
await exitPromise
|
||||
|
||||
// Additional wait for OS to release port
|
||||
await new Promise((resolve) => setTimeout(resolve, 500))
|
||||
}
|
||||
}
|
||||
|
||||
@@ -187,8 +150,8 @@ async function waitForServerStop(timeout = 5000): Promise<void> {
|
||||
export async function restartNextServer(): Promise<string> {
|
||||
console.log("Restarting Next.js server...")
|
||||
|
||||
// Stop the current server and wait for it to exit
|
||||
await stopNextServer()
|
||||
// Stop the current server
|
||||
stopNextServer()
|
||||
|
||||
// Wait for the port to be released
|
||||
await waitForServerStop()
|
||||
|
||||
@@ -1,75 +0,0 @@
|
||||
import { app } from "electron"
|
||||
import * as fs from "fs"
|
||||
import * as path from "path"
|
||||
import type { ProxyConfig } from "../electron.d"
|
||||
|
||||
export type { ProxyConfig }
|
||||
|
||||
const CONFIG_FILE = "proxy-config.json"
|
||||
|
||||
function getConfigPath(): string {
|
||||
return path.join(app.getPath("userData"), CONFIG_FILE)
|
||||
}
|
||||
|
||||
/**
|
||||
* Load proxy configuration from JSON file
|
||||
*/
|
||||
export function loadProxyConfig(): ProxyConfig {
|
||||
try {
|
||||
const configPath = getConfigPath()
|
||||
if (fs.existsSync(configPath)) {
|
||||
const data = fs.readFileSync(configPath, "utf-8")
|
||||
return JSON.parse(data) as ProxyConfig
|
||||
}
|
||||
} catch (error) {
|
||||
console.error("Failed to load proxy config:", error)
|
||||
}
|
||||
return {}
|
||||
}
|
||||
|
||||
/**
|
||||
* Save proxy configuration to JSON file
|
||||
*/
|
||||
export function saveProxyConfig(config: ProxyConfig): void {
|
||||
try {
|
||||
const configPath = getConfigPath()
|
||||
fs.writeFileSync(configPath, JSON.stringify(config, null, 2), "utf-8")
|
||||
} catch (error) {
|
||||
console.error("Failed to save proxy config:", error)
|
||||
throw error
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Apply proxy configuration to process.env
|
||||
* Must be called BEFORE starting the Next.js server
|
||||
*/
|
||||
export function applyProxyToEnv(): void {
|
||||
const config = loadProxyConfig()
|
||||
|
||||
if (config.httpProxy) {
|
||||
process.env.HTTP_PROXY = config.httpProxy
|
||||
process.env.http_proxy = config.httpProxy
|
||||
} else {
|
||||
delete process.env.HTTP_PROXY
|
||||
delete process.env.http_proxy
|
||||
}
|
||||
|
||||
if (config.httpsProxy) {
|
||||
process.env.HTTPS_PROXY = config.httpsProxy
|
||||
process.env.https_proxy = config.httpsProxy
|
||||
} else {
|
||||
delete process.env.HTTPS_PROXY
|
||||
delete process.env.https_proxy
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Get current proxy configuration (from process.env)
|
||||
*/
|
||||
export function getProxyConfig(): ProxyConfig {
|
||||
return {
|
||||
httpProxy: process.env.HTTP_PROXY || process.env.http_proxy || "",
|
||||
httpsProxy: process.env.HTTPS_PROXY || process.env.https_proxy || "",
|
||||
}
|
||||
}
|
||||
@@ -21,9 +21,4 @@ contextBridge.exposeInMainWorld("electronAPI", {
|
||||
// File operations
|
||||
openFile: () => ipcRenderer.invoke("dialog-open-file"),
|
||||
saveFile: (data: string) => ipcRenderer.invoke("dialog-save-file", data),
|
||||
|
||||
// Proxy settings
|
||||
getProxy: () => ipcRenderer.invoke("get-proxy"),
|
||||
setProxy: (config: { httpProxy?: string; httpsProxy?: string }) =>
|
||||
ipcRenderer.invoke("set-proxy", config),
|
||||
})
|
||||
|
||||
@@ -55,7 +55,6 @@
|
||||
<option value="openrouter">OpenRouter</option>
|
||||
<option value="deepseek">DeepSeek</option>
|
||||
<option value="siliconflow">SiliconFlow</option>
|
||||
<option value="modelscope">ModelScope</option>
|
||||
<option value="ollama">Ollama (Local)</option>
|
||||
</select>
|
||||
</div>
|
||||
|
||||
@@ -288,7 +288,6 @@ function getProviderLabel(provider) {
|
||||
openrouter: "OpenRouter",
|
||||
deepseek: "DeepSeek",
|
||||
siliconflow: "SiliconFlow",
|
||||
modelscope: "ModelScope",
|
||||
ollama: "Ollama",
|
||||
}
|
||||
return labels[provider] || provider
|
||||
|
||||
@@ -72,10 +72,6 @@ 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
|
||||
|
||||
# ModelScope Configuration
|
||||
# MODELSCOPE_API_KEY=ms-...
|
||||
# MODELSCOPE_BASE_URL=https://api-inference.modelscope.cn/v1 # Optional: Custom 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
|
||||
|
||||
@@ -23,7 +23,6 @@ export type ProviderName =
|
||||
| "gateway"
|
||||
| "edgeone"
|
||||
| "doubao"
|
||||
| "modelscope"
|
||||
|
||||
interface ModelConfig {
|
||||
model: any
|
||||
@@ -60,7 +59,6 @@ const ALLOWED_CLIENT_PROVIDERS: ProviderName[] = [
|
||||
"gateway",
|
||||
"edgeone",
|
||||
"doubao",
|
||||
"modelscope",
|
||||
]
|
||||
|
||||
// Bedrock provider options for Anthropic beta features
|
||||
@@ -355,7 +353,6 @@ function buildProviderOptions(
|
||||
case "siliconflow":
|
||||
case "sglang":
|
||||
case "gateway":
|
||||
case "modelscope":
|
||||
case "doubao": {
|
||||
// These providers don't have reasoning configs in AI SDK yet
|
||||
// Gateway passes through to underlying providers which handle their own configs
|
||||
@@ -384,7 +381,6 @@ const PROVIDER_ENV_VARS: Record<ProviderName, string | null> = {
|
||||
gateway: "AI_GATEWAY_API_KEY",
|
||||
edgeone: null, // No credentials needed - uses EdgeOne Edge AI
|
||||
doubao: "DOUBAO_API_KEY",
|
||||
modelscope: "MODELSCOPE_API_KEY",
|
||||
}
|
||||
|
||||
/**
|
||||
@@ -449,7 +445,7 @@ function validateProviderCredentials(provider: ProviderName): void {
|
||||
* Get the AI model based on environment variables
|
||||
*
|
||||
* Environment variables:
|
||||
* - AI_PROVIDER: The provider to use (bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow, sglang, gateway, modelscope)
|
||||
* - AI_PROVIDER: The provider to use (bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow, sglang, gateway)
|
||||
* - AI_MODEL: The model ID/name for the selected provider
|
||||
*
|
||||
* Provider-specific env vars:
|
||||
@@ -464,11 +460,9 @@ function validateProviderCredentials(provider: ProviderName): void {
|
||||
* - DEEPSEEK_API_KEY: DeepSeek API key
|
||||
* - DEEPSEEK_BASE_URL: DeepSeek endpoint (optional)
|
||||
* - SILICONFLOW_API_KEY: SiliconFlow API key
|
||||
* - SILICONFLOW_BASE_URL: SiliconFlow endpoint (optional, defaults to https://api.siliconflow.cn/v1)
|
||||
* - SILICONFLOW_BASE_URL: SiliconFlow endpoint (optional, defaults to https://api.siliconflow.com/v1)
|
||||
* - SGLANG_API_KEY: SGLang API key
|
||||
* - SGLANG_BASE_URL: SGLang endpoint (optional)
|
||||
* - MODELSCOPE_API_KEY: ModelScope API key
|
||||
* - MODELSCOPE_BASE_URL: ModelScope endpoint (optional)
|
||||
*/
|
||||
export function getAIModel(overrides?: ClientOverrides): ModelConfig {
|
||||
// SECURITY: Prevent SSRF attacks (GHSA-9qf7-mprq-9qgm)
|
||||
@@ -543,7 +537,6 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
|
||||
`- AZURE_API_KEY for Azure\n` +
|
||||
`- SILICONFLOW_API_KEY for SiliconFlow\n` +
|
||||
`- SGLANG_API_KEY for SGLang\n` +
|
||||
`- MODELSCOPE_API_KEY for ModelScope\n` +
|
||||
`Or set AI_PROVIDER=ollama for local Ollama.`,
|
||||
)
|
||||
} else {
|
||||
@@ -721,7 +714,7 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
|
||||
const baseURL =
|
||||
overrides?.baseUrl ||
|
||||
process.env.SILICONFLOW_BASE_URL ||
|
||||
"https://api.siliconflow.cn/v1"
|
||||
"https://api.siliconflow.com/v1"
|
||||
const siliconflowProvider = createOpenAI({
|
||||
apiKey,
|
||||
baseURL,
|
||||
@@ -899,23 +892,9 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
|
||||
break
|
||||
}
|
||||
|
||||
case "modelscope": {
|
||||
const apiKey = overrides?.apiKey || process.env.MODELSCOPE_API_KEY
|
||||
const baseURL =
|
||||
overrides?.baseUrl ||
|
||||
process.env.MODELSCOPE_BASE_URL ||
|
||||
"https://api-inference.modelscope.cn/v1"
|
||||
const modelscopeProvider = createOpenAI({
|
||||
apiKey,
|
||||
baseURL,
|
||||
})
|
||||
model = modelscopeProvider.chat(modelId)
|
||||
break
|
||||
}
|
||||
|
||||
default:
|
||||
throw new Error(
|
||||
`Unknown AI provider: ${provider}. Supported providers: bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow, sglang, gateway, edgeone, doubao, modelscope`,
|
||||
`Unknown AI provider: ${provider}. Supported providers: bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow, sglang, gateway, edgeone, doubao`,
|
||||
)
|
||||
}
|
||||
|
||||
|
||||
@@ -28,8 +28,7 @@
|
||||
"azure": "Azure OpenAI",
|
||||
"openrouter": "OpenRouter",
|
||||
"deepseek": "DeepSeek",
|
||||
"siliconflow": "SiliconFlow",
|
||||
"modelscope": "ModelScope"
|
||||
"siliconflow": "SiliconFlow"
|
||||
},
|
||||
"chat": {
|
||||
"placeholder": "Describe your diagram or upload a file...",
|
||||
@@ -107,13 +106,7 @@
|
||||
"diagramActions": "Diagram Actions",
|
||||
"diagramActionsDescription": "Manage diagram history and exports",
|
||||
"history": "History",
|
||||
"download": "Download",
|
||||
"proxy": "Proxy Settings",
|
||||
"proxyDescription": "Configure HTTP/HTTPS proxy for API requests (Desktop only)",
|
||||
"httpProxy": "HTTP Proxy",
|
||||
"httpsProxy": "HTTPS Proxy",
|
||||
"applyProxy": "Apply",
|
||||
"proxyApplied": "Proxy settings applied"
|
||||
"download": "Download"
|
||||
},
|
||||
"save": {
|
||||
"title": "Save Diagram",
|
||||
@@ -199,9 +192,7 @@
|
||||
"description": "Paste a URL to extract and analyze its content",
|
||||
"Extracting": "Extracting...",
|
||||
"extract": "Extract",
|
||||
"Cancel": "Cancel",
|
||||
"enterUrl": "Please enter a URL",
|
||||
"invalidFormat": "Invalid URL format"
|
||||
"Cancel": "Cancel"
|
||||
},
|
||||
"reasoning": {
|
||||
"thinking": "Thinking...",
|
||||
|
||||
@@ -28,8 +28,7 @@
|
||||
"azure": "Azure OpenAI",
|
||||
"openrouter": "OpenRouter",
|
||||
"deepseek": "DeepSeek",
|
||||
"siliconflow": "SiliconFlow",
|
||||
"modelscope": "ModelScope"
|
||||
"siliconflow": "SiliconFlow"
|
||||
},
|
||||
"chat": {
|
||||
"placeholder": "ダイアグラムを説明するか、ファイルをアップロード...",
|
||||
@@ -107,13 +106,7 @@
|
||||
"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",
|
||||
"proxy": "プロキシ設定",
|
||||
"proxyDescription": "API リクエスト用の HTTP/HTTPS プロキシを設定(デスクトップ版のみ)",
|
||||
"httpProxy": "HTTP プロキシ",
|
||||
"httpsProxy": "HTTPS プロキシ",
|
||||
"applyProxy": "適用",
|
||||
"proxyApplied": "プロキシ設定が適用されました"
|
||||
"download": "ダウンロード"
|
||||
},
|
||||
"save": {
|
||||
"title": "ダイアグラムを保存",
|
||||
@@ -199,9 +192,7 @@
|
||||
"description": "URLを貼り付けてそのコンテンツを抽出および分析します",
|
||||
"Extracting": "抽出中...",
|
||||
"extract": "抽出",
|
||||
"Cancel": "キャンセル",
|
||||
"enterUrl": "URLを入力してください",
|
||||
"invalidFormat": "無効なURL形式です"
|
||||
"Cancel": "キャンセル"
|
||||
},
|
||||
"reasoning": {
|
||||
"thinking": "考え中...",
|
||||
|
||||
@@ -28,8 +28,7 @@
|
||||
"azure": "Azure OpenAI",
|
||||
"openrouter": "OpenRouter",
|
||||
"deepseek": "DeepSeek",
|
||||
"siliconflow": "SiliconFlow",
|
||||
"modelscope": "ModelScope"
|
||||
"siliconflow": "SiliconFlow"
|
||||
},
|
||||
"chat": {
|
||||
"placeholder": "描述您的图表或上传文件...",
|
||||
@@ -107,13 +106,7 @@
|
||||
"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",
|
||||
"proxy": "代理设置",
|
||||
"proxyDescription": "配置 API 请求的 HTTP/HTTPS 代理(仅桌面版)",
|
||||
"httpProxy": "HTTP 代理",
|
||||
"httpsProxy": "HTTPS 代理",
|
||||
"applyProxy": "应用",
|
||||
"proxyApplied": "代理设置已应用"
|
||||
"download": "下载"
|
||||
},
|
||||
"save": {
|
||||
"title": "保存图表",
|
||||
@@ -199,9 +192,7 @@
|
||||
"description": "粘贴 URL 以提取和分析其内容",
|
||||
"Extracting": "提取中...",
|
||||
"extract": "提取",
|
||||
"Cancel": "取消",
|
||||
"enterUrl": "请输入 URL",
|
||||
"invalidFormat": "URL 格式无效"
|
||||
"Cancel": "取消"
|
||||
},
|
||||
"reasoning": {
|
||||
"thinking": "思考中...",
|
||||
|
||||
@@ -13,7 +13,6 @@ export type ProviderName =
|
||||
| "gateway"
|
||||
| "edgeone"
|
||||
| "doubao"
|
||||
| "modelscope"
|
||||
|
||||
// Individual model configuration
|
||||
export interface ModelConfig {
|
||||
@@ -80,7 +79,7 @@ export const PROVIDER_INFO: Record<
|
||||
deepseek: { label: "DeepSeek" },
|
||||
siliconflow: {
|
||||
label: "SiliconFlow",
|
||||
defaultBaseUrl: "https://api.siliconflow.cn/v1",
|
||||
defaultBaseUrl: "https://api.siliconflow.com/v1",
|
||||
},
|
||||
sglang: {
|
||||
label: "SGLang",
|
||||
@@ -92,10 +91,6 @@ export const PROVIDER_INFO: Record<
|
||||
label: "Doubao (ByteDance)",
|
||||
defaultBaseUrl: "https://ark.cn-beijing.volces.com/api/v3",
|
||||
},
|
||||
modelscope: {
|
||||
label: "ModelScope",
|
||||
defaultBaseUrl: "https://api-inference.modelscope.cn/v1",
|
||||
},
|
||||
}
|
||||
|
||||
// Suggested models per provider for quick add
|
||||
@@ -236,17 +231,6 @@ export const SUGGESTED_MODELS: Record<ProviderName, string[]> = {
|
||||
"doubao-pro-32k-241215",
|
||||
"doubao-pro-256k-241215",
|
||||
],
|
||||
modelscope: [
|
||||
// Qwen
|
||||
"Qwen/Qwen2.5-72B-Instruct",
|
||||
"Qwen/Qwen2.5-32B-Instruct",
|
||||
"Qwen/Qwen3-235B-A22B-Instruct-2507",
|
||||
"Qwen/Qwen3-VL-235B-A22B-Instruct",
|
||||
"Qwen/Qwen3-32B",
|
||||
// DeepSeek
|
||||
"deepseek-ai/DeepSeek-R1-0528",
|
||||
"deepseek-ai/DeepSeek-V3.2",
|
||||
],
|
||||
}
|
||||
|
||||
// Helper to generate UUID
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "next-ai-draw-io",
|
||||
"version": "0.4.10",
|
||||
"version": "0.4.9",
|
||||
"license": "Apache-2.0",
|
||||
"private": true,
|
||||
"main": "dist-electron/main/index.js",
|
||||
@@ -24,7 +24,6 @@
|
||||
"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:win:build": "npm run electron:build && npm run electron:prepare && npx electron-builder --config electron/electron-builder.yml --win --publish never",
|
||||
"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",
|
||||
"test": "vitest",
|
||||
@@ -73,7 +72,6 @@
|
||||
"jsonrepair": "^3.13.1",
|
||||
"lucide-react": "^0.562.0",
|
||||
"motion": "^12.23.25",
|
||||
"nanoid": "^3.3.11",
|
||||
"negotiator": "^1.0.0",
|
||||
"next": "^16.0.7",
|
||||
"ollama-ai-provider-v2": "^2.0.0",
|
||||
|
||||
@@ -1,11 +0,0 @@
|
||||
{
|
||||
"name": "next-ai-drawio",
|
||||
"version": "1.0.0",
|
||||
"description": "AI-powered Draw.io diagram generation with real-time browser preview. Create flowcharts, architecture diagrams, and more through natural language.",
|
||||
"author": {
|
||||
"name": "DayuanJiang"
|
||||
},
|
||||
"repository": "https://github.com/DayuanJiang/next-ai-draw-io",
|
||||
"homepage": "https://next-ai-drawio.jiang.jp",
|
||||
"license": "Apache-2.0"
|
||||
}
|
||||
@@ -1,8 +0,0 @@
|
||||
{
|
||||
"mcpServers": {
|
||||
"drawio": {
|
||||
"command": "npx",
|
||||
"args": ["@next-ai-drawio/mcp-server@latest"]
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1,107 +0,0 @@
|
||||
# Next AI Draw.io - Claude Code Plugin
|
||||
|
||||
AI-powered Draw.io diagram generation with real-time browser preview for Claude Code.
|
||||
|
||||
## Installation
|
||||
|
||||
### From Plugin Directory (Coming Soon)
|
||||
|
||||
Once approved, install via:
|
||||
```
|
||||
/plugin install next-ai-drawio
|
||||
```
|
||||
|
||||
### Manual Installation
|
||||
|
||||
```bash
|
||||
claude --plugin-dir /path/to/packages/claude-plugin
|
||||
```
|
||||
|
||||
Or add the MCP server directly:
|
||||
```bash
|
||||
claude mcp add drawio -- npx @next-ai-drawio/mcp-server@latest
|
||||
```
|
||||
|
||||
## Features
|
||||
|
||||
- **Real-time Preview**: Diagrams appear and update in your browser as Claude creates them
|
||||
- **Version History**: Restore previous diagram versions with visual thumbnails
|
||||
- **Natural Language**: Describe diagrams in plain text - flowcharts, architecture diagrams, etc.
|
||||
- **Edit Support**: Modify existing diagrams with natural language instructions
|
||||
- **Export**: Save diagrams as `.drawio` files
|
||||
- **Self-contained**: Embedded server, no external dependencies required
|
||||
|
||||
## Use Case Examples
|
||||
|
||||
### 1. Create Architecture Diagrams
|
||||
|
||||
```
|
||||
Generate an AWS architecture diagram with Lambda, API Gateway, DynamoDB,
|
||||
and S3 for a serverless REST API
|
||||
```
|
||||
|
||||
### 2. Flowchart Generation
|
||||
|
||||
```
|
||||
Create a flowchart showing the CI/CD pipeline: code commit -> build ->
|
||||
test -> staging deploy -> production deploy with approval gates
|
||||
```
|
||||
|
||||
### 3. System Design Documentation
|
||||
|
||||
```
|
||||
Design a microservices e-commerce system with user service, product catalog,
|
||||
shopping cart, order processing, and payment gateway
|
||||
```
|
||||
|
||||
### 4. Cloud Architecture (AWS/GCP/Azure)
|
||||
|
||||
```
|
||||
Generate a GCP architecture diagram with Cloud Run, Cloud SQL, and
|
||||
Cloud Storage for a web application
|
||||
```
|
||||
|
||||
### 5. Sequence Diagrams
|
||||
|
||||
```
|
||||
Create a sequence diagram showing OAuth 2.0 authorization code flow
|
||||
between user, client app, auth server, and resource server
|
||||
```
|
||||
|
||||
## Available Tools
|
||||
|
||||
| Tool | Description |
|
||||
|------|-------------|
|
||||
| `start_session` | Opens browser with real-time diagram preview |
|
||||
| `create_new_diagram` | Create a new diagram from XML |
|
||||
| `edit_diagram` | Edit diagram by ID-based operations |
|
||||
| `get_diagram` | Get the current diagram XML |
|
||||
| `export_diagram` | Save diagram to a `.drawio` file |
|
||||
|
||||
## How It Works
|
||||
|
||||
```
|
||||
Claude Code <--stdio--> MCP Server <--http--> Browser (draw.io)
|
||||
```
|
||||
|
||||
1. Ask Claude to create a diagram
|
||||
2. Claude calls `start_session` to open a browser window
|
||||
3. Claude generates diagram XML and sends it to the browser
|
||||
4. You see the diagram update in real-time!
|
||||
|
||||
## Configuration
|
||||
|
||||
| Variable | Default | Description |
|
||||
|----------|---------|-------------|
|
||||
| `PORT` | `6002` | Port for the embedded HTTP server |
|
||||
| `DRAWIO_BASE_URL` | `https://embed.diagrams.net` | Base URL for draw.io (for self-hosted deployments) |
|
||||
|
||||
## Links
|
||||
|
||||
- [Homepage](https://next-ai-drawio.jiang.jp)
|
||||
- [GitHub Repository](https://github.com/DayuanJiang/next-ai-draw-io)
|
||||
- [MCP Server Documentation](https://github.com/DayuanJiang/next-ai-draw-io/tree/main/packages/mcp-server)
|
||||
|
||||
## License
|
||||
|
||||
Apache-2.0
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@next-ai-drawio/mcp-server",
|
||||
"version": "0.1.12",
|
||||
"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",
|
||||
@@ -21,16 +21,16 @@
|
||||
"claude",
|
||||
"model-context-protocol"
|
||||
],
|
||||
"author": "DayuanJiang",
|
||||
"author": "Biki-dev",
|
||||
"license": "Apache-2.0",
|
||||
"repository": {
|
||||
"type": "git",
|
||||
"url": "https://github.com/DayuanJiang/next-ai-draw-io",
|
||||
"url": "https://github.com/Biki-dev/next-ai-draw-io",
|
||||
"directory": "packages/mcp-server"
|
||||
},
|
||||
"homepage": "https://next-ai-drawio.jiang.jp",
|
||||
"bugs": {
|
||||
"url": "https://github.com/DayuanJiang/next-ai-draw-io/issues"
|
||||
"url": "https://github.com/Biki-dev/next-ai-draw-io/issues"
|
||||
},
|
||||
"publishConfig": {
|
||||
"access": "public"
|
||||
|
||||
@@ -38,12 +38,4 @@ const targetStaticDir = join(targetDir, ".next", "static")
|
||||
mkdirSync(targetStaticDir, { recursive: true })
|
||||
cpSync(staticDir, targetStaticDir, { recursive: true })
|
||||
|
||||
// Copy public folder (required for favicon-white.svg and other assets)
|
||||
console.log("Copying public folder...")
|
||||
const publicDir = join(rootDir, "public")
|
||||
const targetPublicDir = join(targetDir, "public")
|
||||
if (existsSync(publicDir)) {
|
||||
cpSync(publicDir, targetPublicDir, { recursive: true })
|
||||
}
|
||||
|
||||
console.log("Done! Files prepared in electron-standalone/")
|
||||
|
||||
Reference in New Issue
Block a user