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Author SHA1 Message Date
dayuan.jiang
3359d1c8f7 fix: use OpenAI provider for Doubao multimodal models
DeepSeek provider was not properly formatting image content for Doubao's
API. Now uses OpenAI provider for Doubao models (multimodal support),
while keeping DeepSeek provider for DeepSeek/Kimi models on the platform.
2026-01-05 22:26:58 +09:00
31 changed files with 172 additions and 1081 deletions

View File

@@ -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 }}

View File

@@ -40,7 +40,7 @@ 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)
@@ -185,7 +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)
[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
@@ -211,7 +211,6 @@ See the [Next.js deployment documentation](https://nextjs.org/docs/app/building-
- OpenRouter
- DeepSeek
- SiliconFlow
- ModelScope
- SGLang
- Vercel AI Gateway

View File

@@ -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">
使
</p>
<div className="grid grid-cols-3 gap-3 mb-5">
<div className="text-center p-3 bg-white/60 rounded-lg">
<p className="text-lg font-bold text-amber-600">
{formatNumber(dailyRequestLimit)}
</p>
<p className="text-xs text-gray-500">
/
</p>
</div>
<div className="text-center p-3 bg-white/60 rounded-lg">
<p className="text-lg font-bold text-amber-600">
{formatNumber(dailyTokenLimit)}
</p>
<p className="text-xs text-gray-500">
Token/
</p>
</div>
<div className="text-center p-3 bg-white/60 rounded-lg">
<p className="text-lg font-bold text-amber-600">
{formatNumber(tpmLimit)}
</p>
<p className="text-xs text-gray-500">
Token/
</p>
</div>
</div>
{/* Divider */}
<div className="flex items-center gap-3 my-5">
<div className="flex-1 h-px bg-gradient-to-r from-transparent via-amber-300 to-transparent" />
</div>
{/* Bring Your Own Key */}
<div className="text-center">
<h4 className="text-base font-bold text-gray-900 mb-2">
@@ -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">
<code>claude-sonnet-4-5</code>{" "}

View File

@@ -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">
使
</p>
<div className="grid grid-cols-3 gap-3 mb-5">
<div className="text-center p-3 bg-white/60 rounded-lg">
<p className="text-lg font-bold text-amber-600">
{formatNumber(dailyRequestLimit)}
</p>
<p className="text-xs text-gray-500">
/
</p>
</div>
<div className="text-center p-3 bg-white/60 rounded-lg">
<p className="text-lg font-bold text-amber-600">
{formatNumber(dailyTokenLimit)}
</p>
<p className="text-xs text-gray-500">
/
</p>
</div>
<div className="text-center p-3 bg-white/60 rounded-lg">
<p className="text-lg font-bold text-amber-600">
{formatNumber(tpmLimit)}
</p>
<p className="text-xs text-gray-500">
/
</p>
</div>
</div>
{/* Divider */}
<div className="flex items-center gap-3 my-5">
<div className="flex-1 h-px bg-gradient-to-r from-transparent via-amber-300 to-transparent" />
</div>
{/* Bring Your Own Key */}
<div className="text-center">
<h4 className="text-base font-bold text-gray-900 mb-2">
@@ -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">
<code>claude-sonnet-4-5</code>

View File

@@ -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

View File

@@ -1,154 +0,0 @@
import { extract } from "@extractus/article-extractor"
import { NextResponse } from "next/server"
import TurndownService from "turndown"
const MAX_CONTENT_LENGTH = 150000 // Match PDF limit
const EXTRACT_TIMEOUT_MS = 15000
// SSRF protection - block private/internal addresses
function isPrivateUrl(urlString: string): boolean {
try {
const url = new URL(urlString)
const hostname = url.hostname.toLowerCase()
// Block localhost
if (
hostname === "localhost" ||
hostname === "127.0.0.1" ||
hostname === "::1"
) {
return true
}
// Block AWS/cloud metadata endpoints
if (
hostname === "169.254.169.254" ||
hostname === "metadata.google.internal"
) {
return true
}
// Check for private IPv4 ranges
const ipv4Match = hostname.match(
/^(\d{1,3})\.(\d{1,3})\.(\d{1,3})\.(\d{1,3})$/,
)
if (ipv4Match) {
const [, a, b] = ipv4Match.map(Number)
if (a === 10) return true // 10.0.0.0/8
if (a === 172 && b >= 16 && b <= 31) return true // 172.16.0.0/12
if (a === 192 && b === 168) return true // 192.168.0.0/16
if (a === 169 && b === 254) return true // 169.254.0.0/16 (link-local)
if (a === 127) return true // 127.0.0.0/8 (loopback)
}
// Block common internal hostnames
if (
hostname.endsWith(".local") ||
hostname.endsWith(".internal") ||
hostname.endsWith(".localhost")
) {
return true
}
return false
} catch {
return true // Invalid URL - block it
}
}
export async function POST(req: Request) {
try {
const { url } = await req.json()
if (!url || typeof url !== "string") {
return NextResponse.json(
{ error: "URL is required" },
{ status: 400 },
)
}
// Validate URL format
try {
new URL(url)
} catch {
return NextResponse.json(
{ error: "Invalid URL format" },
{ status: 400 },
)
}
// SSRF protection
if (isPrivateUrl(url)) {
return NextResponse.json(
{ error: "Cannot access private/internal URLs" },
{ status: 400 },
)
}
// Extract article content with timeout to avoid tying up server resources
const controller = new AbortController()
const timeoutId = setTimeout(() => {
controller.abort()
}, EXTRACT_TIMEOUT_MS)
let article
try {
article = await extract(url, undefined, {
headers: {
"User-Agent": "Mozilla/5.0 (compatible; NextAIDrawio/1.0)",
},
signal: controller.signal,
})
} catch (err: any) {
if (err?.name === "AbortError") {
return NextResponse.json(
{ error: "Timed out while fetching URL content" },
{ status: 504 },
)
}
throw err
} finally {
clearTimeout(timeoutId)
}
if (!article || !article.content) {
return NextResponse.json(
{ error: "Could not extract content from URL" },
{ status: 400 },
)
}
// Convert HTML to Markdown
const turndownService = new TurndownService({
headingStyle: "atx",
codeBlockStyle: "fenced",
})
// Remove unwanted elements before conversion
turndownService.remove(["script", "style", "iframe", "noscript"])
const markdown = turndownService.turndown(article.content)
// Check content length
if (markdown.length > MAX_CONTENT_LENGTH) {
return NextResponse.json(
{
error: `Content exceeds ${MAX_CONTENT_LENGTH / 1000}k character limit (${(markdown.length / 1000).toFixed(1)}k chars)`,
},
{ status: 400 },
)
}
return NextResponse.json({
title: article.title || "Untitled",
content: markdown,
charCount: markdown.length,
})
} catch (error) {
console.error("URL extraction error:", error)
return NextResponse.json(
{ error: "Failed to fetch or parse URL content" },
{ status: 500 },
)
}
}

View File

@@ -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}` },

View File

@@ -4,7 +4,6 @@ import {
Download,
History,
Image as ImageIcon,
Link,
Loader2,
Send,
} from "lucide-react"
@@ -19,13 +18,11 @@ import { SaveDialog } from "@/components/save-dialog"
import { Button } from "@/components/ui/button"
import { Textarea } from "@/components/ui/textarea"
import { UrlInputDialog } from "@/components/url-input-dialog"
import { useDiagram } from "@/contexts/diagram-context"
import { useDictionary } from "@/hooks/use-dictionary"
import { formatMessage } from "@/lib/i18n/utils"
import { isPdfFile, isTextFile } from "@/lib/pdf-utils"
import type { FlattenedModel } from "@/lib/types/model-config"
import { extractUrlContent, type UrlData } from "@/lib/url-utils"
import { FilePreviewList } from "./file-preview-list"
const MAX_IMAGE_SIZE = 2 * 1024 * 1024 // 2MB
@@ -147,8 +144,6 @@ interface ChatInputProps {
File,
{ text: string; charCount: number; isExtracting: boolean }
>
urlData?: Map<string, UrlData>
onUrlChange?: (data: Map<string, UrlData>) => void
sessionId?: string
error?: Error | null
@@ -168,8 +163,6 @@ export function ChatInput({
files = [],
onFileChange = () => {},
pdfData = new Map(),
urlData,
onUrlChange,
sessionId,
error = null,
models = [],
@@ -190,8 +183,6 @@ export function ChatInput({
const fileInputRef = useRef<HTMLInputElement>(null)
const [isDragging, setIsDragging] = useState(false)
const [showHistory, setShowHistory] = useState(false)
const [showUrlDialog, setShowUrlDialog] = useState(false)
const [isExtractingUrl, setIsExtractingUrl] = useState(false)
// Allow retry when there's an error (even if status is still "streaming" or "submitted")
const isDisabled =
(status === "streaming" || status === "submitted") && !error
@@ -321,50 +312,6 @@ export function ChatInput({
}
}
const handleUrlExtract = async (url: string) => {
if (!onUrlChange) return
setIsExtractingUrl(true)
try {
const existing = urlData
? new Map(urlData)
: new Map<string, UrlData>()
existing.set(url, {
url,
title: url,
content: "",
charCount: 0,
isExtracting: true,
})
onUrlChange(existing)
const data = await extractUrlContent(url)
const newUrlData = new Map(existing)
newUrlData.set(url, data)
onUrlChange(newUrlData)
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
? error.message
: "Failed to extract URL content"}
</span>,
)
} finally {
setIsExtractingUrl(false)
}
}
return (
<form
onSubmit={onSubmit}
@@ -377,23 +324,13 @@ export function ChatInput({
onDragLeave={handleDragLeave}
onDrop={handleDrop}
>
{/* File & URL previews */}
{(files.length > 0 || (urlData && urlData.size > 0)) && (
{/* File previews */}
{files.length > 0 && (
<div className="mb-3">
<FilePreviewList
files={files}
onRemoveFile={handleRemoveFile}
pdfData={pdfData}
urlData={urlData}
onRemoveUrl={
onUrlChange
? (url) => {
const next = new Map(urlData)
next.delete(url)
onUrlChange(next)
}
: undefined
}
/>
</div>
)}
@@ -448,20 +385,6 @@ export function ChatInput({
<ImageIcon className="h-4 w-4" />
</ButtonWithTooltip>
{onUrlChange && (
<ButtonWithTooltip
type="button"
variant="ghost"
size="sm"
onClick={() => setShowUrlDialog(true)}
disabled={isDisabled}
tooltipContent={dict.chat.ExtractURL}
className="h-8 w-8 p-0 text-muted-foreground hover:text-foreground"
>
<Link className="h-4 w-4" />
</ButtonWithTooltip>
)}
<input
type="file"
ref={fileInputRef}
@@ -520,14 +443,6 @@ export function ChatInput({
.toISOString()
.slice(0, 10)}`}
/>
{onUrlChange && (
<UrlInputDialog
open={showUrlDialog}
onOpenChange={setShowUrlDialog}
onSubmit={handleUrlExtract}
isExtracting={isExtractingUrl}
/>
)}
</form>
)
}

View File

@@ -34,7 +34,6 @@ import { findCachedResponse } from "@/lib/cached-responses"
import { formatMessage } from "@/lib/i18n/utils"
import { isPdfFile, isTextFile } from "@/lib/pdf-utils"
import { sanitizeMessages } from "@/lib/session-storage"
import type { UrlData } from "@/lib/url-utils"
import { type FileData, useFileProcessor } from "@/lib/use-file-processor"
import { useQuotaManager } from "@/lib/use-quota-manager"
import { cn, formatXML, isRealDiagram } from "@/lib/utils"
@@ -159,7 +158,6 @@ export default function ChatPanel({
// File processing using extracted hook
const { files, pdfData, handleFileChange, setFiles } = useFileProcessor()
const [urlData, setUrlData] = useState<Map<string, UrlData>>(new Map())
const [showSettingsDialog, setShowSettingsDialog] = useState(false)
const [showModelConfigDialog, setShowModelConfigDialog] = useState(false)
@@ -712,8 +710,6 @@ export default function ChatPanel({
input,
files,
pdfData,
undefined,
urlData,
)
setMessages([
@@ -739,7 +735,6 @@ export default function ChatPanel({
setInput("")
sessionStorage.removeItem(SESSION_STORAGE_INPUT_KEY)
setFiles([])
setUrlData(new Map())
return
}
}
@@ -760,7 +755,6 @@ export default function ChatPanel({
files,
pdfData,
parts,
urlData,
)
// Add the combined text as the first part
@@ -785,7 +779,6 @@ export default function ChatPanel({
setInput("")
sessionStorage.removeItem(SESSION_STORAGE_INPUT_KEY)
setFiles([])
setUrlData(new Map())
} catch (error) {
console.error("Error fetching chart data:", error)
}
@@ -861,7 +854,6 @@ export default function ChatPanel({
clearDiagram()
setDiagramHistory([])
handleFileChange([]) // Use handleFileChange to also clear pdfData
setUrlData(new Map())
const newSessionId = `session-${Date.now()}-${Math.random()
.toString(36)
.slice(2, 9)}`
@@ -980,7 +972,6 @@ export default function ChatPanel({
files: File[],
pdfData: Map<File, FileData>,
imageParts?: any[],
urlDataParam?: Map<string, UrlData>,
): Promise<string> => {
let userText = baseText
@@ -1011,14 +1002,6 @@ export default function ChatPanel({
}
}
if (urlDataParam) {
for (const [url, data] of urlDataParam) {
if (data.content) {
userText += `\n\n[URL: ${url}]\nTitle: ${data.title}\n\n${data.content}`
}
}
}
return userText
}
@@ -1281,8 +1264,6 @@ export default function ChatPanel({
files={files}
onFileChange={handleFileChange}
pdfData={pdfData}
urlData={urlData}
onUrlChange={setUrlData}
sessionId={sessionId}
error={error}
models={modelConfig.models}

View File

@@ -1,6 +1,6 @@
"use client"
import { FileCode, FileText, Link, Loader2, X } from "lucide-react"
import { FileCode, FileText, Loader2, X } from "lucide-react"
import Image from "next/image"
import { useEffect, useRef, useState } from "react"
import { useDictionary } from "@/hooks/use-dictionary"
@@ -20,19 +20,12 @@ interface FilePreviewListProps {
File,
{ text: string; charCount: number; isExtracting: boolean }
>
urlData?: Map<
string,
{ url: string; title: string; charCount: number; isExtracting: boolean }
>
onRemoveUrl?: (url: string) => void
}
export function FilePreviewList({
files,
onRemoveFile,
pdfData = new Map(),
urlData,
onRemoveUrl,
}: FilePreviewListProps) {
const dict = useDictionary()
const [selectedImage, setSelectedImage] = useState<string | null>(null)
@@ -84,7 +77,7 @@ export function FilePreviewList({
}
}, [imageUrls, selectedImage])
if (files.length === 0 && (!urlData || urlData.size === 0)) return null
if (files.length === 0) return null
return (
<>
@@ -159,59 +152,6 @@ export function FilePreviewList({
</div>
)
})}
{/* URL previews */}
{urlData && urlData.size > 0 && (
<div className="flex flex-wrap gap-2">
{Array.from(urlData.entries()).map(
([url, data], index) => (
<div
key={url + index}
className="relative group"
>
<div className="w-20 h-20 border rounded-md overflow-hidden bg-muted">
<div className="flex flex-col items-center justify-center h-full p-1">
{data.isExtracting ? (
<>
<Loader2 className="h-6 w-6 text-blue-500 mb-1 animate-spin" />
<span className="text-[10px] text-muted-foreground">
{dict.file.reading}
</span>
</>
) : (
<>
<Link className="h-6 w-6 text-blue-500 mb-1" />
<span className="text-xs text-center truncate w-full px-1">
{data.title.length > 10
? `${data.title.slice(0, 7)}...`
: data.title}
</span>
{data.charCount && (
<span className="text-[10px] text-green-600 font-medium">
{formatCharCount(
data.charCount,
)}{" "}
{dict.file.chars}
</span>
)}
</>
)}
</div>
</div>
{onRemoveUrl && (
<button
type="button"
onClick={() => onRemoveUrl(url)}
className="absolute -top-2 -right-2 bg-destructive rounded-full p-1 opacity-0 group-hover:opacity-100 transition-opacity"
aria-label={dict.file.removeFile}
>
<X className="h-3 w-3" />
</button>
)}
</div>
),
)}
</div>
)}
</div>
{/* Image Modal/Lightbox */}
{selectedImage && (

View File

@@ -79,7 +79,6 @@ const PROVIDER_LOGO_MAP: Record<string, string> = {
gateway: "vercel",
edgeone: "tencent-cloud",
doubao: "bytedance",
modelscope: "modelscope",
}
// Provider logo component

View File

@@ -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)

View File

@@ -1,116 +0,0 @@
"use client"
import { Link, Loader2 } from "lucide-react"
import { useState } from "react"
import { Button } from "@/components/ui/button"
import {
Dialog,
DialogContent,
DialogDescription,
DialogFooter,
DialogHeader,
DialogTitle,
} from "@/components/ui/dialog"
import { Input } from "@/components/ui/input"
import { useDictionary } from "@/hooks/use-dictionary"
interface UrlInputDialogProps {
open: boolean
onOpenChange: (open: boolean) => void
onSubmit: (url: string) => void
isExtracting: boolean
}
export function UrlInputDialog({
open,
onOpenChange,
onSubmit,
isExtracting,
}: UrlInputDialogProps) {
const dict = useDictionary()
const [url, setUrl] = useState("")
const [error, setError] = useState("")
const handleSubmit = () => {
setError("")
if (!url.trim()) {
setError(dict.url.enterUrl)
return
}
try {
new URL(url)
} catch {
setError(dict.url.invalidFormat)
return
}
onSubmit(url.trim())
}
const handleKeyDown = (e: React.KeyboardEvent<HTMLInputElement>) => {
if (e.key === "Enter" && !isExtracting) {
e.preventDefault()
handleSubmit()
}
}
return (
<Dialog open={open} onOpenChange={onOpenChange}>
<DialogContent className="sm:max-w-md">
<DialogHeader>
<DialogTitle>{dict.url.title}</DialogTitle>
<DialogDescription>
{dict.url.description}
</DialogDescription>
</DialogHeader>
<div className="space-y-4">
<div className="space-y-2">
<Input
value={url}
onChange={(e) => {
setUrl(e.target.value)
setError("")
}}
onKeyDown={handleKeyDown}
placeholder="https://example.com/article"
disabled={isExtracting}
autoFocus
/>
{error && (
<p className="text-sm text-destructive">{error}</p>
)}
</div>
</div>
<DialogFooter>
<Button
variant="outline"
onClick={() => onOpenChange(false)}
disabled={isExtracting}
>
{dict.url.Cancel}
</Button>
<Button
onClick={handleSubmit}
disabled={isExtracting || !url.trim()}
>
{isExtracting ? (
<>
<Loader2 className="mr-2 h-4 w-4 animate-spin" />
{dict.url.Extracting}
</>
) : (
<>
<Link className="mr-2 h-4 w-4" />
{dict.url.extract}
</>
)}
</Button>
</DialogFooter>
</DialogContent>
</Dialog>
)
}

View File

@@ -37,7 +37,7 @@ 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)
@@ -179,7 +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)
[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
@@ -204,7 +204,6 @@ npm run dev
- OpenRouter
- DeepSeek
- SiliconFlow
- ModelScope
- SGLang
- Vercel AI Gateway

View File

@@ -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

View File

@@ -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

View File

@@ -37,7 +37,7 @@ 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)
@@ -180,7 +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)
[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FDayuanJiang%2Fnext-ai-draw-io)
@@ -205,7 +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

View File

@@ -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。

View File

@@ -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: "" },

View File

@@ -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>

View File

@@ -288,7 +288,6 @@ function getProviderLabel(provider) {
openrouter: "OpenRouter",
deepseek: "DeepSeek",
siliconflow: "SiliconFlow",
modelscope: "ModelScope",
ollama: "Ollama",
}
return labels[provider] || provider

View File

@@ -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

View File

@@ -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:
@@ -467,8 +463,6 @@ function validateProviderCredentials(provider: ProviderName): void {
* - 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 {
@@ -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`,
)
}

View File

@@ -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...",
@@ -52,8 +51,7 @@
"badResponse": "Bad response",
"clickToEdit": "Click to edit",
"editMessage": "Edit message",
"saveAndSubmit": "Save & Submit",
"ExtractURL": "Extract from URL"
"saveAndSubmit": "Save & Submit"
},
"examples": {
"title": "Create diagrams with AI",
@@ -188,15 +186,6 @@
"chars": "chars",
"removeFile": "Remove file"
},
"url": {
"title": "Extract Content from URL",
"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"
},
"reasoning": {
"thinking": "Thinking...",
"thoughtFor": "Thought for {duration} seconds",

View File

@@ -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...",
@@ -52,8 +51,7 @@
"badResponse": "悪い応答",
"clickToEdit": "クリックして編集",
"editMessage": "メッセージを編集",
"saveAndSubmit": "保存して送信",
"ExtractURL": "URLから抽出"
"saveAndSubmit": "保存して送信"
},
"examples": {
"title": "AI でダイアグラムを作成",
@@ -188,15 +186,6 @@
"chars": "文字",
"removeFile": "ファイルを削除"
},
"url": {
"title": "URLからコンテンツを抽出",
"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"
},
"reasoning": {
"thinking": "考え中...",
"thoughtFor": "{duration} 秒考えました",

View File

@@ -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...",
@@ -52,8 +51,7 @@
"badResponse": "无帮助",
"clickToEdit": "点击编辑",
"editMessage": "编辑消息",
"saveAndSubmit": "保存并提交",
"ExtractURL": "从 URL 提取"
"saveAndSubmit": "保存并提交"
},
"examples": {
"title": "用 AI 创建图表",
@@ -188,15 +186,6 @@
"chars": "字符",
"removeFile": "移除文件"
},
"url": {
"title": "从 URL 提取内容",
"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"
},
"reasoning": {
"thinking": "思考中...",
"thoughtFor": "思考了 {duration} 秒",

View File

@@ -13,7 +13,6 @@ export type ProviderName =
| "gateway"
| "edgeone"
| "doubao"
| "modelscope"
// Individual model configuration
export interface ModelConfig {
@@ -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

View File

@@ -1,49 +0,0 @@
import { z } from "zod"
export interface UrlData {
url: string
title: string
content: string
charCount: number
isExtracting: boolean
}
const UrlResponseSchema = z.object({
title: z.string().default("Untitled"),
content: z.string(),
charCount: z.number().int().nonnegative(),
})
export async function extractUrlContent(url: string): Promise<UrlData> {
const response = await fetch("/api/parse-url", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ url }),
})
// Try to parse JSON once
const raw = await response
.json()
.catch(() => ({ error: "Unexpected non-JSON response" }))
if (!response.ok) {
const message =
typeof raw === "object" && raw && "error" in raw
? String((raw as any).error)
: "Failed to extract URL content"
throw new Error(message)
}
const parsed = UrlResponseSchema.safeParse(raw)
if (!parsed.success) {
throw new Error("Malformed response from URL extraction API")
}
return {
url,
title: parsed.data.title,
content: parsed.data.content,
charCount: parsed.data.charCount,
isExtracting: false,
}
}

322
package-lock.json generated
View File

@@ -19,7 +19,6 @@
"@ai-sdk/react": "^3.0.1",
"@aws-sdk/client-dynamodb": "^3.957.0",
"@aws-sdk/credential-providers": "^3.943.0",
"@extractus/article-extractor": "^8.0.18",
"@formatjs/intl-localematcher": "^0.7.2",
"@langfuse/client": "^4.4.9",
"@langfuse/otel": "^4.4.4",
@@ -67,7 +66,6 @@
"sonner": "^2.0.7",
"tailwind-merge": "^3.0.2",
"tailwindcss-animate": "^1.0.7",
"turndown": "^7.2.0",
"unpdf": "^1.4.0",
"zod": "^4.1.12"
},
@@ -85,7 +83,6 @@
"@types/pako": "^2.0.3",
"@types/react": "^19",
"@types/react-dom": "^19",
"@types/turndown": "^5.0.6",
"@vitejs/plugin-react": "^5.1.2",
"@vitest/coverage-v8": "^4.0.16",
"concurrently": "^9.2.1",
@@ -6431,22 +6428,6 @@
}
}
},
"node_modules/@extractus/article-extractor": {
"version": "8.0.20",
"resolved": "https://registry.npmjs.org/@extractus/article-extractor/-/article-extractor-8.0.20.tgz",
"integrity": "sha512-oxHLZ3X5ctLVkQfFkOLf8afvQq6aJ2VBxwQhAaV6ZypaaMJboFz8uwpCGy7QBehmQIvzgWhCwuu8j4ayJFvPcg==",
"license": "MIT",
"dependencies": {
"@mozilla/readability": "^0.6.0",
"@ndaidong/bellajs": "^12.0.1",
"cross-fetch": "^4.1.0",
"linkedom": "^0.18.12",
"sanitize-html": "2.17.0"
},
"engines": {
"node": ">= 20"
}
},
"node_modules/@floating-ui/core": {
"version": "1.6.9",
"resolved": "https://registry.npmjs.org/@floating-ui/core/-/core-1.6.9.tgz",
@@ -7357,21 +7338,6 @@
"node": ">= 10.0.0"
}
},
"node_modules/@mixmark-io/domino": {
"version": "2.2.0",
"resolved": "https://registry.npmjs.org/@mixmark-io/domino/-/domino-2.2.0.tgz",
"integrity": "sha512-Y28PR25bHXUg88kCV7nivXrP2Nj2RueZ3/l/jdx6J9f8J4nsEGcgX0Qe6lt7Pa+J79+kPiJU3LguR6O/6zrLOw==",
"license": "BSD-2-Clause"
},
"node_modules/@mozilla/readability": {
"version": "0.6.0",
"resolved": "https://registry.npmjs.org/@mozilla/readability/-/readability-0.6.0.tgz",
"integrity": "sha512-juG5VWh4qAivzTAeMzvY9xs9HY5rAcr2E4I7tiSSCokRFi7XIZCAu92ZkSTsIj1OPceCifL3cpfteP3pDT9/QQ==",
"license": "Apache-2.0",
"engines": {
"node": ">=14.0.0"
}
},
"node_modules/@napi-rs/wasm-runtime": {
"version": "0.2.12",
"resolved": "https://registry.npmjs.org/@napi-rs/wasm-runtime/-/wasm-runtime-0.2.12.tgz",
@@ -7385,12 +7351,6 @@
"@tybys/wasm-util": "^0.10.0"
}
},
"node_modules/@ndaidong/bellajs": {
"version": "12.0.1",
"resolved": "https://registry.npmjs.org/@ndaidong/bellajs/-/bellajs-12.0.1.tgz",
"integrity": "sha512-1iY42uiHz0cxNMbde7O3zVN+ZX1viOOUOBRt6ht6lkRZbSjwOnFV34Zv4URp3hGzEe6L9Byk7BOq/41H0PzAOQ==",
"license": "MIT"
},
"node_modules/@next/env": {
"version": "16.1.1",
"resolved": "https://registry.npmjs.org/@next/env/-/env-16.1.1.tgz",
@@ -11483,13 +11443,6 @@
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@@ -17030,25 +16859,6 @@
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@@ -18616,36 +18417,6 @@
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@@ -24513,12 +24201,6 @@
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View File

@@ -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",
@@ -41,7 +40,6 @@
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@@ -73,7 +71,6 @@
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"lucide-react": "^0.562.0",
"motion": "^12.23.25",
"nanoid": "^3.3.11",
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@@ -90,7 +87,6 @@
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"unpdf": "^1.4.0",
"zod": "^4.1.12"
},
@@ -119,7 +115,6 @@
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"@types/react": "^19",
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"@types/turndown": "^5.0.6",
"@vitejs/plugin-react": "^5.1.2",
"@vitest/coverage-v8": "^4.0.16",
"concurrently": "^9.2.1",

View File

@@ -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"
},
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