mirror of
https://github.com/DayuanJiang/next-ai-draw-io.git
synced 2026-09-02 01:20:23 +08:00
Compare commits
49 Commits
v0.4.12
...
fix/electr
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
c083782802 | ||
|
|
a5d1554c3f | ||
|
|
e171fbcdd8 | ||
|
|
89d3968733 | ||
|
|
ac3570c1b0 | ||
|
|
41dc0b2b42 | ||
|
|
3041dafe2f | ||
|
|
7fbc857d3a | ||
|
|
d752524851 | ||
|
|
ecce0a96c7 | ||
|
|
cd33e131ef | ||
|
|
4624ad40a1 | ||
|
|
fa1548d3eb | ||
|
|
eb834a341f | ||
|
|
b84b156c8c | ||
|
|
c6eab07622 | ||
|
|
c382d3c0f4 | ||
|
|
e065d4b727 | ||
|
|
b2b9614404 | ||
|
|
1b96325fea | ||
|
|
19dd4e287f | ||
|
|
699767f392 | ||
|
|
feeb9ec0c5 | ||
|
|
f1a3044224 | ||
|
|
71a1d02e28 | ||
|
|
2d17963b2a | ||
|
|
3721b16d18 | ||
|
|
cbde35fb54 | ||
|
|
f098e557fc | ||
|
|
a245dcb150 | ||
|
|
f2f5ac907d | ||
|
|
0a79536002 | ||
|
|
f2c8fea58d | ||
|
|
31fffcc52d | ||
|
|
0a03ac9f45 | ||
|
|
6dad6ab147 | ||
|
|
8781520ebb | ||
|
|
67196225f0 | ||
|
|
09a5774cba | ||
|
|
fdd4be6463 | ||
|
|
f8a0ebd149 | ||
|
|
c9dd54dad7 | ||
|
|
1258f98478 | ||
|
|
f6f693ee8d | ||
|
|
9398117368 | ||
|
|
cb0c0fbcda | ||
|
|
e7c29fb410 | ||
|
|
f0dd199cd1 | ||
|
|
7656b64018 |
2
.github/workflows/electron-release.yml
vendored
2
.github/workflows/electron-release.yml
vendored
@@ -99,7 +99,7 @@ jobs:
|
||||
api-token: ${{ secrets.SIGNPATH_API_TOKEN }}
|
||||
organization-id: '880a211d-2cd3-4e7b-8d04-3d1f8eb39df5'
|
||||
project-slug: 'next-ai-draw-io'
|
||||
signing-policy-slug: 'test-signing'
|
||||
signing-policy-slug: 'release-signing'
|
||||
artifact-configuration-slug: 'windows-exe'
|
||||
github-artifact-id: ${{ steps.upload-unsigned.outputs.artifact-id }}
|
||||
wait-for-completion: true
|
||||
|
||||
@@ -19,7 +19,7 @@ English | [中文](./docs/cn/README_CN.md) | [日本語](./docs/ja/README_JA.md)
|
||||
|
||||
A Next.js web application that integrates AI capabilities with draw.io diagrams. Create, modify, and enhance diagrams through natural language commands and AI-assisted visualization.
|
||||
|
||||
> Note: Thanks to <img src="https://raw.githubusercontent.com/DayuanJiang/next-ai-draw-io/main/public/doubao-color.png" alt="" height="20" /> [ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) sponsorship, the demo site now uses the powerful K2-thinking model!
|
||||
> Note: Thanks to <img src="https://raw.githubusercontent.com/DayuanJiang/next-ai-draw-io/main/public/doubao-color.png" alt="" height="20" /> [ByteDance Doubao](https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) sponsorship, the demo site now uses the powerful K2-thinking model!
|
||||
|
||||
|
||||
https://github.com/user-attachments/assets/9d60a3e8-4a1c-4b5e-acbb-26af2d3eabd1
|
||||
@@ -202,7 +202,7 @@ See the [Next.js deployment documentation](https://nextjs.org/docs/app/building-
|
||||
|
||||
## Multi-Provider Support
|
||||
|
||||
- [ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)
|
||||
- [ByteDance Doubao](https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)
|
||||
- AWS Bedrock (default)
|
||||
- OpenAI
|
||||
- Anthropic
|
||||
@@ -244,7 +244,7 @@ Diagrams are represented as XML that can be rendered in draw.io. The AI processe
|
||||
|
||||
## Support & Contact
|
||||
|
||||
**Special thanks to [ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) for sponsoring the API token usage of the demo site!** Register on the ARK platform to get 500K free tokens for all models!
|
||||
**Special thanks to [ByteDance Doubao](https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) for sponsoring the API token usage of the demo site!** Register on the ARK platform to get 500K free tokens for all models!
|
||||
|
||||
If you find this project useful, please consider [sponsoring](https://github.com/sponsors/DayuanJiang) to help me host the live demo site!
|
||||
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
import type { Metadata } from "next"
|
||||
import Image from "next/image"
|
||||
import Link from "next/link"
|
||||
import { FaGithub } from "react-icons/fa"
|
||||
import Image from "@/components/image-with-basepath"
|
||||
|
||||
export const metadata: Metadata = {
|
||||
title: "关于 - Next AI Draw.io",
|
||||
@@ -78,7 +78,7 @@ export default function AboutCN() {
|
||||
<p>
|
||||
好消息!感谢{" "}
|
||||
<a
|
||||
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
href="https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="font-semibold text-blue-600 hover:underline"
|
||||
@@ -277,7 +277,7 @@ export default function AboutCN() {
|
||||
<ul className="list-disc pl-6 text-gray-700 space-y-1">
|
||||
<li>
|
||||
<a
|
||||
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
href="https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="text-blue-600 hover:underline"
|
||||
@@ -312,7 +312,7 @@ export default function AboutCN() {
|
||||
<p className="text-gray-700 mb-4 font-semibold">
|
||||
特别感谢{" "}
|
||||
<a
|
||||
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
href="https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="text-blue-600 hover:underline"
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
import type { Metadata } from "next"
|
||||
import Image from "next/image"
|
||||
import Link from "next/link"
|
||||
import { FaGithub } from "react-icons/fa"
|
||||
import Image from "@/components/image-with-basepath"
|
||||
|
||||
export const metadata: Metadata = {
|
||||
title: "概要 - Next AI Draw.io",
|
||||
@@ -86,7 +86,7 @@ export default function AboutJA() {
|
||||
<p>
|
||||
朗報です!
|
||||
<a
|
||||
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
href="https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="font-semibold text-blue-600 hover:underline"
|
||||
@@ -292,7 +292,7 @@ export default function AboutJA() {
|
||||
<ul className="list-disc pl-6 text-gray-700 space-y-1">
|
||||
<li>
|
||||
<a
|
||||
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
href="https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="text-blue-600 hover:underline"
|
||||
@@ -327,7 +327,7 @@ export default function AboutJA() {
|
||||
<p className="text-gray-700 mb-4 font-semibold">
|
||||
デモサイトのAPIトークン使用を支援してくださった{" "}
|
||||
<a
|
||||
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
href="https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="text-blue-600 hover:underline"
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
import type { Metadata } from "next"
|
||||
import Image from "next/image"
|
||||
import Link from "next/link"
|
||||
import { FaGithub } from "react-icons/fa"
|
||||
import Image from "@/components/image-with-basepath"
|
||||
|
||||
export const metadata: Metadata = {
|
||||
title: "About - Next AI Draw.io",
|
||||
@@ -87,7 +87,7 @@ export default function About() {
|
||||
Great news! Thanks to the generous
|
||||
sponsorship from{" "}
|
||||
<a
|
||||
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
href="https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="font-semibold text-blue-600 hover:underline"
|
||||
@@ -311,7 +311,7 @@ export default function About() {
|
||||
<ul className="list-disc pl-6 text-gray-700 space-y-1">
|
||||
<li>
|
||||
<a
|
||||
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
href="https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="text-blue-600 hover:underline"
|
||||
@@ -348,7 +348,7 @@ export default function About() {
|
||||
<p className="text-gray-700 mb-4 font-semibold">
|
||||
Special thanks to{" "}
|
||||
<a
|
||||
href="https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
href="https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project"
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
className="text-blue-600 hover:underline"
|
||||
|
||||
@@ -41,19 +41,24 @@ export async function generateMetadata({
|
||||
params: Promise<{ lang: string }>
|
||||
}): Promise<Metadata> {
|
||||
const { lang: rawLang } = await params
|
||||
const lang = (rawLang in { en: 1, zh: 1, ja: 1 } ? rawLang : "en") as Locale
|
||||
const lang = (
|
||||
rawLang in { en: 1, zh: 1, ja: 1, "zh-Hant": 1 } ? rawLang : "en"
|
||||
) as Locale
|
||||
|
||||
// Default to English metadata
|
||||
const titles: Record<Locale, string> = {
|
||||
en: "Next AI Draw.io - AI-Powered Diagram Generator",
|
||||
zh: "Next AI Draw.io - AI powered diagram generator",
|
||||
ja: "Next AI Draw.io - AI-powered diagram generator",
|
||||
"zh-Hant": "Next AI Draw.io - AI 驅動的圖表產生器",
|
||||
}
|
||||
|
||||
const descriptions: Record<Locale, string> = {
|
||||
en: "Create AWS architecture diagrams, flowcharts, and technical diagrams using AI. Free online tool integrating draw.io with AI assistance for professional diagram creation.",
|
||||
zh: "Use AI to create AWS architecture diagrams, flowcharts, and technical diagrams. Free online tool integrated with draw.io and AI assistance for professional diagram creation.",
|
||||
ja: "Create AWS architecture diagrams, flowcharts, and technical diagrams using AI. Create professional diagrams with a free online tool that integrates draw.io with an AI assistant.",
|
||||
"zh-Hant":
|
||||
"使用 AI 建立 AWS 架構圖、流程圖和技術圖表。免費線上工具整合 draw.io 與 AI 輔助,輕鬆建立專業圖表。",
|
||||
}
|
||||
|
||||
return {
|
||||
@@ -80,7 +85,14 @@ export async function generateMetadata({
|
||||
type: "website",
|
||||
url: "https://next-ai-drawio.jiang.jp",
|
||||
siteName: "Next AI Draw.io",
|
||||
locale: lang === "zh" ? "zh_CN" : lang === "ja" ? "ja_JP" : "en_US",
|
||||
locale:
|
||||
lang === "zh"
|
||||
? "zh_CN"
|
||||
: lang === "zh-Hant"
|
||||
? "zh_HK"
|
||||
: lang === "ja"
|
||||
? "ja_JP"
|
||||
: "en_US",
|
||||
images: [
|
||||
{
|
||||
url: "/architecture.png",
|
||||
@@ -115,6 +127,7 @@ export async function generateMetadata({
|
||||
en: "/en",
|
||||
zh: "/zh",
|
||||
ja: "/ja",
|
||||
"zh-Hant": "/zh-Hant",
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
@@ -186,7 +186,7 @@ async function handleChatRequest(req: Request): Promise<Response> {
|
||||
|
||||
// Check if this is a server model with custom env var names
|
||||
let serverModelConfig: {
|
||||
apiKeyEnv?: string
|
||||
apiKeyEnv?: string | string[]
|
||||
baseUrlEnv?: string
|
||||
provider?: string
|
||||
} = {}
|
||||
@@ -449,6 +449,7 @@ ${userInputText}
|
||||
|
||||
const result = streamText({
|
||||
model,
|
||||
abortSignal: req.signal,
|
||||
...(process.env.MAX_OUTPUT_TOKENS && {
|
||||
maxOutputTokens: parseInt(process.env.MAX_OUTPUT_TOKENS, 10),
|
||||
}),
|
||||
@@ -662,7 +663,7 @@ Available libraries:
|
||||
- Networking: cisco19, network, kubernetes, vvd, rack
|
||||
- Business: bpmn, lean_mapping
|
||||
- General: flowchart, basic, arrows2, infographic, sitemap
|
||||
- UI/Mockups: android
|
||||
- UI/Mockups: android, material_design
|
||||
- Enterprise: citrix, sap, mscae, atlassian
|
||||
- Engineering: fluidpower, electrical, pid, cabinets, floorplan
|
||||
- Icons: webicons
|
||||
@@ -707,7 +708,7 @@ Call this tool to get shape names and usage syntax for a specific library.`,
|
||||
if (
|
||||
(error as NodeJS.ErrnoException).code === "ENOENT"
|
||||
) {
|
||||
return `Library "${library}" not found. Available: aws4, azure2, gcp2, alibaba_cloud, cisco19, kubernetes, network, bpmn, flowchart, basic, arrows2, vvd, salesforce, citrix, sap, mscae, atlassian, fluidpower, electrical, pid, cabinets, floorplan, webicons, infographic, sitemap, android, lean_mapping, openstack, rack`
|
||||
return `Library "${library}" not found. Available: aws4, azure2, gcp2, alibaba_cloud, cisco19, kubernetes, network, bpmn, flowchart, basic, arrows2, vvd, salesforce, citrix, sap, mscae, atlassian, fluidpower, electrical, pid, cabinets, floorplan, webicons, infographic, sitemap, android, material_design, lean_mapping, openstack, rack`
|
||||
}
|
||||
console.error(
|
||||
`[get_shape_library] Error loading "${library}":`,
|
||||
|
||||
@@ -5,6 +5,7 @@ import { allowPrivateUrls, isPrivateUrl } from "@/lib/ssrf-protection"
|
||||
|
||||
const MAX_CONTENT_LENGTH = 150000 // Match PDF limit
|
||||
const EXTRACT_TIMEOUT_MS = 15000
|
||||
const USER_AGENT = "Mozilla/5.0 (compatible; NextAIDrawio/1.0)"
|
||||
|
||||
export async function POST(req: Request) {
|
||||
try {
|
||||
@@ -34,6 +35,31 @@ export async function POST(req: Request) {
|
||||
{ status: 400 },
|
||||
)
|
||||
}
|
||||
const headController = new AbortController()
|
||||
const headTimeout = setTimeout(() => headController.abort(), 3000)
|
||||
try {
|
||||
const headResponse = await fetch(url, {
|
||||
method: "HEAD",
|
||||
headers: { "User-Agent": USER_AGENT },
|
||||
signal: headController.signal,
|
||||
})
|
||||
const contentType = headResponse.headers.get("content-type")
|
||||
if (contentType?.includes("application/pdf")) {
|
||||
return NextResponse.json(
|
||||
{
|
||||
error: "PDF URLs are not supported. Please download and upload the PDF file directly",
|
||||
},
|
||||
{ status: 422 },
|
||||
)
|
||||
}
|
||||
} catch (err) {
|
||||
console.warn(
|
||||
"HEAD pre-check failed, proceeding with extraction:",
|
||||
err,
|
||||
)
|
||||
} finally {
|
||||
clearTimeout(headTimeout)
|
||||
}
|
||||
|
||||
// Extract article content with timeout to avoid tying up server resources
|
||||
const controller = new AbortController()
|
||||
@@ -44,9 +70,7 @@ export async function POST(req: Request) {
|
||||
let article
|
||||
try {
|
||||
article = await extract(url, undefined, {
|
||||
headers: {
|
||||
"User-Agent": "Mozilla/5.0 (compatible; NextAIDrawio/1.0)",
|
||||
},
|
||||
headers: { "User-Agent": USER_AGENT },
|
||||
signal: controller.signal,
|
||||
})
|
||||
} catch (err: any) {
|
||||
|
||||
@@ -174,10 +174,21 @@ export async function POST(req: Request) {
|
||||
}
|
||||
|
||||
case "ollama": {
|
||||
const ollama = createOllama({
|
||||
baseURL: baseUrl || "http://localhost:11434",
|
||||
// SECURITY: Mirror ai-providers.ts guard — only use server
|
||||
// OLLAMA_API_KEY when the URL is also from server config.
|
||||
const ollamaApiKey = baseUrl
|
||||
? apiKey || undefined
|
||||
: apiKey || process.env.OLLAMA_API_KEY || undefined
|
||||
const ollamaProvider = createOllama({
|
||||
baseURL:
|
||||
baseUrl ||
|
||||
process.env.OLLAMA_BASE_URL ||
|
||||
"https://ollama.com/api",
|
||||
...(ollamaApiKey && {
|
||||
headers: { Authorization: `Bearer ${ollamaApiKey}` },
|
||||
}),
|
||||
})
|
||||
model = ollama(modelId)
|
||||
model = ollamaProvider(modelId)
|
||||
break
|
||||
}
|
||||
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
import { Cloud } from "lucide-react"
|
||||
import type { ComponentProps, ReactNode } from "react"
|
||||
import type { ComponentProps, ElementRef, ReactNode } from "react"
|
||||
import { useEffect, useRef, useState } from "react"
|
||||
import {
|
||||
Command,
|
||||
CommandDialog,
|
||||
@@ -69,20 +70,62 @@ export type ModelSelectorListProps = ComponentProps<typeof CommandList>
|
||||
export const ModelSelectorList = ({
|
||||
className,
|
||||
...props
|
||||
}: ModelSelectorListProps) => (
|
||||
<div className="relative">
|
||||
<CommandList
|
||||
className={cn(
|
||||
// Hide scrollbar on all platforms
|
||||
"[&::-webkit-scrollbar]:hidden [-ms-overflow-style:none] [scrollbar-width:none]",
|
||||
className,
|
||||
)}
|
||||
{...props}
|
||||
/>
|
||||
{/* Bottom shadow indicator for scrollable content */}
|
||||
<div className="pointer-events-none absolute bottom-0 left-0 right-0 h-12 bg-gradient-to-t from-muted/80 via-muted/40 to-transparent" />
|
||||
</div>
|
||||
)
|
||||
}: ModelSelectorListProps) => {
|
||||
const listRef = useRef<ElementRef<typeof CommandList>>(null)
|
||||
const [showShadow, setShowShadow] = useState(false)
|
||||
|
||||
useEffect(() => {
|
||||
const listElement = listRef.current
|
||||
if (!listElement) return
|
||||
|
||||
const checkScroll = () => {
|
||||
const { scrollTop, scrollHeight, clientHeight } = listElement
|
||||
// Show shadow if there is more content below
|
||||
// Using a small threshold to handle fractional pixel rendering
|
||||
setShowShadow(
|
||||
scrollHeight > Math.ceil(scrollTop + clientHeight) + 1,
|
||||
)
|
||||
}
|
||||
|
||||
// Initial check
|
||||
checkScroll()
|
||||
|
||||
// Event listeners
|
||||
listElement.addEventListener("scroll", checkScroll)
|
||||
window.addEventListener("resize", checkScroll)
|
||||
|
||||
// Observe content changes (e.g. async loading of items)
|
||||
const observer = new MutationObserver(checkScroll)
|
||||
observer.observe(listElement, { childList: true, subtree: true })
|
||||
|
||||
return () => {
|
||||
listElement.removeEventListener("scroll", checkScroll)
|
||||
window.removeEventListener("resize", checkScroll)
|
||||
observer.disconnect()
|
||||
}
|
||||
}, [])
|
||||
|
||||
return (
|
||||
<div className="relative">
|
||||
<CommandList
|
||||
ref={listRef}
|
||||
className={cn(
|
||||
// Hide scrollbar on all platforms
|
||||
"[&::-webkit-scrollbar]:hidden [-ms-overflow-style:none] [scrollbar-width:none]",
|
||||
className,
|
||||
)}
|
||||
{...props}
|
||||
/>
|
||||
{/* Bottom shadow indicator for scrollable content */}
|
||||
<div
|
||||
className={cn(
|
||||
"pointer-events-none absolute bottom-0 left-0 right-0 h-12 bg-gradient-to-t from-muted/80 via-muted/40 to-transparent transition-opacity duration-200",
|
||||
showShadow ? "opacity-100" : "opacity-0",
|
||||
)}
|
||||
/>
|
||||
</div>
|
||||
)
|
||||
}
|
||||
|
||||
export type ModelSelectorEmptyProps = ComponentProps<typeof CommandEmpty>
|
||||
|
||||
|
||||
@@ -7,6 +7,7 @@ import {
|
||||
Link,
|
||||
Loader2,
|
||||
Send,
|
||||
Square,
|
||||
} from "lucide-react"
|
||||
import type React from "react"
|
||||
import {
|
||||
@@ -154,6 +155,7 @@ interface ChatInputProps {
|
||||
status: "submitted" | "streaming" | "ready" | "error"
|
||||
onSubmit: (e: React.FormEvent<HTMLFormElement>) => void
|
||||
onChange: (e: React.ChangeEvent<HTMLTextAreaElement>) => void
|
||||
onStop?: () => void
|
||||
files?: File[]
|
||||
onFileChange?: (files: File[]) => void
|
||||
pdfData?: Map<
|
||||
@@ -169,8 +171,8 @@ interface ChatInputProps {
|
||||
models?: FlattenedModel[]
|
||||
selectedModelId?: string
|
||||
onModelSelect?: (modelId: string | undefined) => void
|
||||
showUnvalidatedModels?: boolean
|
||||
onConfigureModels?: () => void
|
||||
showUnvalidatedModels?: boolean
|
||||
// Focus control props
|
||||
shouldFocus?: boolean
|
||||
onFocused?: () => void
|
||||
@@ -183,6 +185,7 @@ export const ChatInput = forwardRef<ChatInputRef, ChatInputProps>(
|
||||
status,
|
||||
onSubmit,
|
||||
onChange,
|
||||
onStop,
|
||||
files = [],
|
||||
onFileChange = () => {},
|
||||
pdfData = new Map(),
|
||||
@@ -193,8 +196,8 @@ export const ChatInput = forwardRef<ChatInputRef, ChatInputProps>(
|
||||
models = [],
|
||||
selectedModelId,
|
||||
onModelSelect = () => {},
|
||||
onConfigureModels,
|
||||
showUnvalidatedModels = false,
|
||||
onConfigureModels = () => {},
|
||||
shouldFocus = false,
|
||||
onFocused,
|
||||
},
|
||||
@@ -555,24 +558,30 @@ export const ChatInput = forwardRef<ChatInputRef, ChatInputProps>(
|
||||
showUnvalidatedModels={showUnvalidatedModels}
|
||||
/>
|
||||
<div className="w-px h-5 bg-border mx-1" />
|
||||
<Button
|
||||
type="submit"
|
||||
disabled={isDisabled || !input.trim()}
|
||||
size="sm"
|
||||
className="h-8 px-4 rounded-xl font-medium shadow-sm"
|
||||
aria-label={
|
||||
isDisabled ? dict.chat.sending : dict.chat.send
|
||||
}
|
||||
>
|
||||
{isDisabled ? (
|
||||
<Loader2 className="h-4 w-4 animate-spin" />
|
||||
) : (
|
||||
<>
|
||||
<Send className="h-4 w-4 mr-1.5" />
|
||||
{dict.chat.send}
|
||||
</>
|
||||
)}
|
||||
</Button>
|
||||
{(status === "streaming" || status === "submitted") &&
|
||||
onStop ? (
|
||||
<Button
|
||||
type="button"
|
||||
onClick={onStop}
|
||||
size="sm"
|
||||
variant="destructive"
|
||||
className="h-8 w-8 p-0 rounded-xl shadow-sm"
|
||||
aria-label={dict.chat.stopGeneration}
|
||||
>
|
||||
<Square className="h-4 w-4" />
|
||||
</Button>
|
||||
) : (
|
||||
<Button
|
||||
type="submit"
|
||||
disabled={isDisabled || !input.trim()}
|
||||
size="sm"
|
||||
className="h-8 px-4 rounded-xl font-medium shadow-sm"
|
||||
aria-label={dict.chat.send}
|
||||
>
|
||||
<Send className="h-4 w-4 mr-1.5" />
|
||||
{dict.chat.send}
|
||||
</Button>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
<HistoryDialog
|
||||
|
||||
@@ -16,7 +16,6 @@ import {
|
||||
ThumbsUp,
|
||||
X,
|
||||
} from "lucide-react"
|
||||
import Image from "next/image"
|
||||
import type { MutableRefObject } from "react"
|
||||
import { useCallback, useEffect, useRef, useState } from "react"
|
||||
import ReactMarkdown from "react-markdown"
|
||||
@@ -31,6 +30,7 @@ import { ToolCallCard } from "@/components/chat/ToolCallCard"
|
||||
import type { DiagramOperation, ToolPartLike } from "@/components/chat/types"
|
||||
import type { ValidationState } from "@/components/chat/ValidationCard"
|
||||
import { ValidationCard } from "@/components/chat/ValidationCard"
|
||||
import Image from "@/components/image-with-basepath"
|
||||
import { ScrollArea } from "@/components/ui/scroll-area"
|
||||
import { useDictionary } from "@/hooks/use-dictionary"
|
||||
import { getApiEndpoint } from "@/lib/base-path"
|
||||
|
||||
@@ -8,8 +8,7 @@ import {
|
||||
PanelRightOpen,
|
||||
Settings,
|
||||
} from "lucide-react"
|
||||
import Image from "next/image"
|
||||
import { useRouter, useSearchParams } from "next/navigation"
|
||||
import { usePathname, useRouter, useSearchParams } from "next/navigation"
|
||||
import type React from "react"
|
||||
import {
|
||||
useCallback,
|
||||
@@ -22,6 +21,7 @@ import { flushSync } from "react-dom"
|
||||
import { Toaster, toast } from "sonner"
|
||||
import { ButtonWithTooltip } from "@/components/button-with-tooltip"
|
||||
import { ChatInput } from "@/components/chat-input"
|
||||
import Image from "@/components/image-with-basepath"
|
||||
import { ModelConfigDialog } from "@/components/model-config-dialog"
|
||||
import { SettingsDialog } from "@/components/settings-dialog"
|
||||
import { useDiagram } from "@/contexts/diagram-context"
|
||||
@@ -131,6 +131,7 @@ export default function ChatPanel({
|
||||
|
||||
const dict = useDictionary()
|
||||
const router = useRouter()
|
||||
const pathname = usePathname()
|
||||
const searchParams = useSearchParams()
|
||||
const urlSessionId = searchParams.get("session")
|
||||
|
||||
@@ -339,151 +340,155 @@ export default function ChatPanel({
|
||||
onValidationStateChange: handleValidationStateChange,
|
||||
})
|
||||
|
||||
const { messages, sendMessage, addToolOutput, status, error, setMessages } =
|
||||
useChat({
|
||||
transport: new DefaultChatTransport({
|
||||
api: getApiEndpoint("/api/chat"),
|
||||
}),
|
||||
onToolCall: async ({ toolCall }) => {
|
||||
await handleToolCall({ toolCall }, addToolOutput)
|
||||
},
|
||||
onError: (error) => {
|
||||
// Handle server-side quota limit (429 response)
|
||||
// AI SDK puts the full response body in error.message for non-OK responses
|
||||
try {
|
||||
const data = JSON.parse(error.message)
|
||||
if (data.type === "request") {
|
||||
quotaManager.showQuotaLimitToast(data.used, data.limit)
|
||||
return
|
||||
}
|
||||
if (data.type === "token") {
|
||||
quotaManager.showTokenLimitToast(data.used, data.limit)
|
||||
return
|
||||
}
|
||||
if (data.type === "tpm") {
|
||||
quotaManager.showTPMLimitToast(data.limit)
|
||||
return
|
||||
}
|
||||
} catch {
|
||||
// Not JSON, fall through to string matching for backwards compatibility
|
||||
const {
|
||||
messages,
|
||||
sendMessage,
|
||||
addToolOutput,
|
||||
status,
|
||||
error,
|
||||
setMessages,
|
||||
stop,
|
||||
} = useChat({
|
||||
transport: new DefaultChatTransport({
|
||||
api: getApiEndpoint("/api/chat"),
|
||||
}),
|
||||
onToolCall: async ({ toolCall }) => {
|
||||
await handleToolCall({ toolCall }, addToolOutput)
|
||||
},
|
||||
onError: (error) => {
|
||||
// Handle server-side quota limit (429 response)
|
||||
// AI SDK puts the full response body in error.message for non-OK responses
|
||||
try {
|
||||
const data = JSON.parse(error.message)
|
||||
if (data.type === "request") {
|
||||
quotaManager.showQuotaLimitToast(data.used, data.limit)
|
||||
return
|
||||
}
|
||||
if (data.type === "token") {
|
||||
quotaManager.showTokenLimitToast(data.used, data.limit)
|
||||
return
|
||||
}
|
||||
if (data.type === "tpm") {
|
||||
quotaManager.showTPMLimitToast(data.limit)
|
||||
return
|
||||
}
|
||||
} catch {
|
||||
// Not JSON, fall through to string matching for backwards compatibility
|
||||
}
|
||||
|
||||
// Fallback to string matching
|
||||
if (error.message.includes("Daily request limit")) {
|
||||
quotaManager.showQuotaLimitToast()
|
||||
return
|
||||
}
|
||||
if (error.message.includes("Daily token limit")) {
|
||||
quotaManager.showTokenLimitToast()
|
||||
return
|
||||
// Fallback to string matching
|
||||
if (error.message.includes("Daily request limit")) {
|
||||
quotaManager.showQuotaLimitToast()
|
||||
return
|
||||
}
|
||||
if (error.message.includes("Daily token limit")) {
|
||||
quotaManager.showTokenLimitToast()
|
||||
return
|
||||
}
|
||||
if (
|
||||
error.message.includes("Rate limit exceeded") ||
|
||||
error.message.includes("tokens per minute")
|
||||
) {
|
||||
quotaManager.showTPMLimitToast()
|
||||
return
|
||||
}
|
||||
|
||||
// Silence access code error in console since it's handled by UI
|
||||
if (!error.message.includes("Invalid or missing access code")) {
|
||||
console.error("Chat error:", error)
|
||||
}
|
||||
|
||||
// Translate technical errors into user-friendly messages
|
||||
// The server now handles detailed error messages, so we can display them directly.
|
||||
// But we still handle connection/network errors that happen before reaching the server.
|
||||
let friendlyMessage = error.message
|
||||
|
||||
// Simple check for network errors if message is generic
|
||||
if (friendlyMessage === "Failed to fetch") {
|
||||
friendlyMessage = "Network error. Please check your connection."
|
||||
}
|
||||
|
||||
// Truncated tool input error (model output limit too low)
|
||||
if (friendlyMessage.includes("toolUse.input is invalid")) {
|
||||
friendlyMessage =
|
||||
"Output was truncated before the diagram could be generated. Try a simpler request or increase the maxOutputLength."
|
||||
}
|
||||
|
||||
// Translate image not supported error
|
||||
if (
|
||||
friendlyMessage.includes("image content block") ||
|
||||
friendlyMessage.toLowerCase().includes("image_url")
|
||||
) {
|
||||
friendlyMessage = "This model doesn't support image input."
|
||||
}
|
||||
|
||||
// Add system message for error so it can be cleared
|
||||
setMessages((currentMessages) => {
|
||||
const errorMessage = {
|
||||
id: `error-${Date.now()}`,
|
||||
role: "system" as const,
|
||||
content: friendlyMessage,
|
||||
parts: [{ type: "text" as const, text: friendlyMessage }],
|
||||
}
|
||||
return [...currentMessages, errorMessage]
|
||||
})
|
||||
|
||||
if (error.message.includes("Invalid or missing access code")) {
|
||||
// Show settings dialog to help user fix it
|
||||
setShowSettingsDialog(true)
|
||||
}
|
||||
},
|
||||
onFinish: () => {},
|
||||
sendAutomaticallyWhen: ({ messages }) => {
|
||||
const isInContinuationMode = partialXmlRef.current.length > 0
|
||||
|
||||
const shouldRetry = hasToolErrors(
|
||||
messages as unknown as ChatMessage[],
|
||||
)
|
||||
|
||||
if (!shouldRetry) {
|
||||
// No error, reset retry count and clear state
|
||||
autoRetryCountRef.current = 0
|
||||
continuationRetryCountRef.current = 0
|
||||
partialXmlRef.current = ""
|
||||
return false
|
||||
}
|
||||
|
||||
// Continuation mode: limited retries for truncation handling
|
||||
if (isInContinuationMode) {
|
||||
if (
|
||||
error.message.includes("Rate limit exceeded") ||
|
||||
error.message.includes("tokens per minute")
|
||||
continuationRetryCountRef.current >=
|
||||
MAX_CONTINUATION_RETRY_COUNT
|
||||
) {
|
||||
quotaManager.showTPMLimitToast()
|
||||
return
|
||||
}
|
||||
|
||||
// Silence access code error in console since it's handled by UI
|
||||
if (!error.message.includes("Invalid or missing access code")) {
|
||||
console.error("Chat error:", error)
|
||||
}
|
||||
|
||||
// Translate technical errors into user-friendly messages
|
||||
// The server now handles detailed error messages, so we can display them directly.
|
||||
// But we still handle connection/network errors that happen before reaching the server.
|
||||
let friendlyMessage = error.message
|
||||
|
||||
// Simple check for network errors if message is generic
|
||||
if (friendlyMessage === "Failed to fetch") {
|
||||
friendlyMessage =
|
||||
"Network error. Please check your connection."
|
||||
}
|
||||
|
||||
// Truncated tool input error (model output limit too low)
|
||||
if (friendlyMessage.includes("toolUse.input is invalid")) {
|
||||
friendlyMessage =
|
||||
"Output was truncated before the diagram could be generated. Try a simpler request or increase the maxOutputLength."
|
||||
}
|
||||
|
||||
// Translate image not supported error
|
||||
if (
|
||||
friendlyMessage.includes("image content block") ||
|
||||
friendlyMessage.toLowerCase().includes("image_url")
|
||||
) {
|
||||
friendlyMessage = "This model doesn't support image input."
|
||||
}
|
||||
|
||||
// Add system message for error so it can be cleared
|
||||
setMessages((currentMessages) => {
|
||||
const errorMessage = {
|
||||
id: `error-${Date.now()}`,
|
||||
role: "system" as const,
|
||||
content: friendlyMessage,
|
||||
parts: [
|
||||
{ type: "text" as const, text: friendlyMessage },
|
||||
],
|
||||
}
|
||||
return [...currentMessages, errorMessage]
|
||||
})
|
||||
|
||||
if (error.message.includes("Invalid or missing access code")) {
|
||||
// Show settings dialog to help user fix it
|
||||
setShowSettingsDialog(true)
|
||||
}
|
||||
},
|
||||
onFinish: () => {},
|
||||
sendAutomaticallyWhen: ({ messages }) => {
|
||||
const isInContinuationMode = partialXmlRef.current.length > 0
|
||||
|
||||
const shouldRetry = hasToolErrors(
|
||||
messages as unknown as ChatMessage[],
|
||||
)
|
||||
|
||||
if (!shouldRetry) {
|
||||
// No error, reset retry count and clear state
|
||||
autoRetryCountRef.current = 0
|
||||
toast.error(
|
||||
formatMessage(dict.errors.continuationRetryLimit, {
|
||||
max: MAX_CONTINUATION_RETRY_COUNT,
|
||||
}),
|
||||
)
|
||||
continuationRetryCountRef.current = 0
|
||||
partialXmlRef.current = ""
|
||||
return false
|
||||
}
|
||||
|
||||
// Continuation mode: limited retries for truncation handling
|
||||
if (isInContinuationMode) {
|
||||
if (
|
||||
continuationRetryCountRef.current >=
|
||||
MAX_CONTINUATION_RETRY_COUNT
|
||||
) {
|
||||
toast.error(
|
||||
formatMessage(dict.errors.continuationRetryLimit, {
|
||||
max: MAX_CONTINUATION_RETRY_COUNT,
|
||||
}),
|
||||
)
|
||||
continuationRetryCountRef.current = 0
|
||||
partialXmlRef.current = ""
|
||||
return false
|
||||
}
|
||||
continuationRetryCountRef.current++
|
||||
} else {
|
||||
// Regular error: check retry count limit
|
||||
if (autoRetryCountRef.current >= MAX_AUTO_RETRY_COUNT) {
|
||||
toast.error(
|
||||
formatMessage(dict.errors.retryLimit, {
|
||||
max: MAX_AUTO_RETRY_COUNT,
|
||||
}),
|
||||
)
|
||||
autoRetryCountRef.current = 0
|
||||
partialXmlRef.current = ""
|
||||
return false
|
||||
}
|
||||
// Increment retry count for actual errors
|
||||
autoRetryCountRef.current++
|
||||
continuationRetryCountRef.current++
|
||||
} else {
|
||||
// Regular error: check retry count limit
|
||||
if (autoRetryCountRef.current >= MAX_AUTO_RETRY_COUNT) {
|
||||
toast.error(
|
||||
formatMessage(dict.errors.retryLimit, {
|
||||
max: MAX_AUTO_RETRY_COUNT,
|
||||
}),
|
||||
)
|
||||
autoRetryCountRef.current = 0
|
||||
partialXmlRef.current = ""
|
||||
return false
|
||||
}
|
||||
// Increment retry count for actual errors
|
||||
autoRetryCountRef.current++
|
||||
}
|
||||
|
||||
return true
|
||||
},
|
||||
})
|
||||
return true
|
||||
},
|
||||
})
|
||||
|
||||
// Store sendMessage in ref for use in callbacks (like handleImproveWithSuggestions)
|
||||
useEffect(() => {
|
||||
@@ -901,10 +906,10 @@ export default function ChatPanel({
|
||||
if (result.wasCurrentSession) {
|
||||
// Deleted current session - clear UI and URL
|
||||
syncUIWithSession(null)
|
||||
router.replace(window.location.pathname, { scroll: false })
|
||||
router.replace(pathname, { scroll: false })
|
||||
}
|
||||
},
|
||||
[sessionManager, syncUIWithSession, router],
|
||||
[sessionManager, syncUIWithSession, router, pathname],
|
||||
)
|
||||
|
||||
const handleNewChat = useCallback(async () => {
|
||||
@@ -937,7 +942,7 @@ export default function ChatPanel({
|
||||
toast.success(dict.dialogs.clearSuccess)
|
||||
|
||||
// Clear URL param to show blank state
|
||||
router.replace(window.location.pathname, { scroll: false })
|
||||
router.replace(pathname, { scroll: false })
|
||||
|
||||
// After starting a fresh chat, move focus back to the chat input
|
||||
setShouldFocusInput(true)
|
||||
@@ -952,6 +957,7 @@ export default function ChatPanel({
|
||||
dict.dialogs.clearSuccess,
|
||||
buildSessionData,
|
||||
setDiagramHistory,
|
||||
pathname,
|
||||
])
|
||||
|
||||
const handleInputChange = (
|
||||
@@ -991,6 +997,29 @@ export default function ChatPanel({
|
||||
}
|
||||
}
|
||||
|
||||
// Handle stop button click
|
||||
const handleStop = useCallback(() => {
|
||||
const lastMessage = messages[messages.length - 1]
|
||||
const toolParts = lastMessage?.parts?.filter(
|
||||
(part: any) =>
|
||||
part.type?.startsWith("tool-") &&
|
||||
part.state === "input-streaming",
|
||||
)
|
||||
|
||||
toolParts?.forEach((part: any) => {
|
||||
if (part.toolCallId) {
|
||||
addToolOutput({
|
||||
tool: part.type.replace("tool-", ""),
|
||||
toolCallId: part.toolCallId,
|
||||
state: "output-error",
|
||||
errorText: "Stopped by user",
|
||||
})
|
||||
}
|
||||
})
|
||||
|
||||
stop()
|
||||
}, [messages, addToolOutput, stop])
|
||||
|
||||
// Send chat message with headers
|
||||
const sendChatMessage = (
|
||||
parts: any,
|
||||
@@ -1357,6 +1386,7 @@ export default function ChatPanel({
|
||||
status={status}
|
||||
onSubmit={onFormSubmit}
|
||||
onChange={handleInputChange}
|
||||
onStop={handleStop}
|
||||
files={files}
|
||||
onFileChange={handleFileChange}
|
||||
pdfData={pdfData}
|
||||
@@ -1367,8 +1397,8 @@ export default function ChatPanel({
|
||||
models={modelConfig.models}
|
||||
selectedModelId={modelConfig.selectedModelId}
|
||||
onModelSelect={modelConfig.setSelectedModelId}
|
||||
showUnvalidatedModels={modelConfig.showUnvalidatedModels}
|
||||
onConfigureModels={() => setShowModelConfigDialog(true)}
|
||||
showUnvalidatedModels={modelConfig.showUnvalidatedModels}
|
||||
shouldFocus={shouldFocusInput}
|
||||
onFocused={() => setShouldFocusInput(false)}
|
||||
/>
|
||||
@@ -1385,6 +1415,7 @@ export default function ChatPanel({
|
||||
onMinimalStyleChange={setMinimalStyle}
|
||||
vlmValidationEnabled={vlmValidationEnabled}
|
||||
onVlmValidationChange={handleVlmValidationChange}
|
||||
onOpenModelConfig={() => setShowModelConfigDialog(true)}
|
||||
/>
|
||||
|
||||
<ModelConfigDialog
|
||||
|
||||
@@ -8,9 +8,9 @@ import {
|
||||
Trash2,
|
||||
X,
|
||||
} from "lucide-react"
|
||||
import Image from "next/image"
|
||||
import { useState } from "react"
|
||||
import ExamplePanel from "@/components/chat-example-panel"
|
||||
import Image from "@/components/image-with-basepath"
|
||||
import {
|
||||
AlertDialog,
|
||||
AlertDialogAction,
|
||||
|
||||
@@ -10,8 +10,8 @@ import {
|
||||
RefreshCw,
|
||||
X,
|
||||
} from "lucide-react"
|
||||
import Image from "next/image"
|
||||
import { useState } from "react"
|
||||
import Image from "@/components/image-with-basepath"
|
||||
import { useDictionary } from "@/hooks/use-dictionary"
|
||||
import type { ValidationResult } from "@/lib/diagram-validator"
|
||||
|
||||
|
||||
@@ -1,8 +1,8 @@
|
||||
"use client"
|
||||
|
||||
import { FileCode, FileText, Link, Loader2, X } from "lucide-react"
|
||||
import Image from "next/image"
|
||||
import { useEffect, useRef, useState } from "react"
|
||||
import Image from "@/components/image-with-basepath"
|
||||
import { useDictionary } from "@/hooks/use-dictionary"
|
||||
import { isPdfFile, isTextFile } from "@/lib/pdf-utils"
|
||||
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
"use client"
|
||||
|
||||
import Image from "next/image"
|
||||
import { useState } from "react"
|
||||
import Image from "@/components/image-with-basepath"
|
||||
import { Button } from "@/components/ui/button"
|
||||
import {
|
||||
Dialog,
|
||||
|
||||
16
components/image-with-basepath.tsx
Normal file
16
components/image-with-basepath.tsx
Normal file
@@ -0,0 +1,16 @@
|
||||
import NextImage, { type ImageProps } from "next/image"
|
||||
import { forwardRef } from "react"
|
||||
import { getAssetUrl } from "@/lib/base-path"
|
||||
|
||||
export default forwardRef<HTMLImageElement, ImageProps>(
|
||||
function Image(props, ref) {
|
||||
const src =
|
||||
typeof props.src === "string" &&
|
||||
props.src.startsWith("/") &&
|
||||
!props.src.startsWith("//")
|
||||
? getAssetUrl(props.src)
|
||||
: props.src
|
||||
|
||||
return <NextImage {...props} src={src} ref={ref} />
|
||||
},
|
||||
)
|
||||
@@ -282,6 +282,7 @@ export function ModelConfigDialog({
|
||||
// Check credentials based on provider type
|
||||
const isBedrock = selectedProvider.provider === "bedrock"
|
||||
const isEdgeOne = selectedProvider.provider === "edgeone"
|
||||
const isOllama = selectedProvider.provider === "ollama"
|
||||
const isVertexAI = selectedProvider.provider === "vertexai"
|
||||
if (isBedrock) {
|
||||
if (
|
||||
@@ -296,7 +297,7 @@ export function ModelConfigDialog({
|
||||
if (!selectedProvider.vertexApiKey) {
|
||||
return
|
||||
}
|
||||
} else if (!isEdgeOne && !selectedProvider.apiKey) {
|
||||
} else if (!isEdgeOne && !isOllama && !selectedProvider.apiKey) {
|
||||
return
|
||||
}
|
||||
|
||||
@@ -1030,9 +1031,7 @@ export function ModelConfigDialog({
|
||||
</div>
|
||||
</>
|
||||
) : selectedProvider.provider ===
|
||||
"ollama" ||
|
||||
selectedProvider.provider ===
|
||||
"edgeone" ? (
|
||||
"edgeone" ? (
|
||||
<div className="space-y-3">
|
||||
<div className="flex items-center gap-2">
|
||||
<Button
|
||||
@@ -1100,6 +1099,9 @@ export function ModelConfigDialog({
|
||||
dict.modelConfig
|
||||
.apiKey
|
||||
}
|
||||
{selectedProvider.provider ===
|
||||
"ollama" &&
|
||||
` ${dict.modelConfig.optional}`}
|
||||
</Label>
|
||||
<div className="flex gap-2">
|
||||
<div className="relative flex-1">
|
||||
@@ -1163,7 +1165,9 @@ export function ModelConfigDialog({
|
||||
handleValidate
|
||||
}
|
||||
disabled={
|
||||
!selectedProvider.apiKey ||
|
||||
(selectedProvider.provider !==
|
||||
"ollama" &&
|
||||
!selectedProvider.apiKey) ||
|
||||
validationStatus ===
|
||||
"validating"
|
||||
}
|
||||
@@ -1661,12 +1665,16 @@ export function ModelConfigDialog({
|
||||
<div className="flex items-center justify-between">
|
||||
<div className="flex items-center gap-2">
|
||||
<Switch
|
||||
id="show-unvalidated-models"
|
||||
checked={modelConfig.showUnvalidatedModels}
|
||||
onCheckedChange={
|
||||
modelConfig.setShowUnvalidatedModels
|
||||
}
|
||||
/>
|
||||
<Label className="text-xs text-muted-foreground cursor-pointer">
|
||||
<Label
|
||||
htmlFor="show-unvalidated-models"
|
||||
className="text-xs text-muted-foreground cursor-pointer"
|
||||
>
|
||||
{dict.modelConfig.showUnvalidatedModels}
|
||||
</Label>
|
||||
</div>
|
||||
|
||||
@@ -34,7 +34,7 @@ interface ModelSelectorProps {
|
||||
models: FlattenedModel[]
|
||||
selectedModelId: string | undefined
|
||||
onSelect: (modelId: string | undefined) => void
|
||||
onConfigure: () => void
|
||||
onConfigure?: () => void
|
||||
disabled?: boolean
|
||||
showUnvalidatedModels?: boolean
|
||||
}
|
||||
@@ -126,9 +126,7 @@ export function ModelSelector({
|
||||
)
|
||||
|
||||
const handleSelect = (value: string) => {
|
||||
if (value === "__configure__") {
|
||||
onConfigure()
|
||||
} else if (value === "__server_default__") {
|
||||
if (value === "__server_default__") {
|
||||
onSelect(undefined)
|
||||
} else {
|
||||
onSelect(value)
|
||||
@@ -214,199 +212,241 @@ export function ModelSelector({
|
||||
<ModelSelectorInput
|
||||
placeholder={dict.modelConfig.searchModels}
|
||||
/>
|
||||
<ModelSelectorList className="[&::-webkit-scrollbar]:hidden [-ms-overflow-style:none] [scrollbar-width:none]">
|
||||
<ModelSelectorEmpty>
|
||||
{displayModels.length === 0 && models.length > 0
|
||||
? dict.modelConfig.noVerifiedModels
|
||||
: dict.modelConfig.noModelsFound}
|
||||
</ModelSelectorEmpty>
|
||||
<div className="flex flex-1 flex-col min-h-0 overflow-hidden">
|
||||
<div className="flex-1 min-h-0 overflow-hidden">
|
||||
<ModelSelectorList className="[&::-webkit-scrollbar]:hidden [-ms-overflow-style:none] [scrollbar-width:none]">
|
||||
<ModelSelectorEmpty>
|
||||
{displayModels.length === 0 &&
|
||||
models.length > 0
|
||||
? dict.modelConfig.noVerifiedModels
|
||||
: dict.modelConfig.noModelsFound}
|
||||
</ModelSelectorEmpty>
|
||||
|
||||
{/* Server Default Option - only show when no server models are configured */}
|
||||
{serverModels.length === 0 && (
|
||||
<ModelSelectorGroup
|
||||
heading={dict.modelConfig.default}
|
||||
>
|
||||
<ModelSelectorItem
|
||||
value="__server_default__"
|
||||
onSelect={handleSelect}
|
||||
className={cn(
|
||||
"cursor-pointer",
|
||||
!selectedModelId && "bg-accent",
|
||||
)}
|
||||
>
|
||||
<Check
|
||||
className={cn(
|
||||
"mr-2 h-4 w-4",
|
||||
!selectedModelId
|
||||
? "opacity-100"
|
||||
: "opacity-0",
|
||||
)}
|
||||
/>
|
||||
<Server className="mr-2 h-4 w-4 text-muted-foreground" />
|
||||
<ModelSelectorName>
|
||||
{dict.modelConfig.serverDefault}
|
||||
</ModelSelectorName>
|
||||
</ModelSelectorItem>
|
||||
</ModelSelectorGroup>
|
||||
)}
|
||||
|
||||
{/* Server Models Section */}
|
||||
{serverModels.length > 0 && (
|
||||
<>
|
||||
<ModelSelectorSectionHeader
|
||||
icon={<Monitor />}
|
||||
label={dict.modelConfig.serverModels}
|
||||
/>
|
||||
{Array.from(groupedServerModels.entries()).map(
|
||||
([
|
||||
providerLabel,
|
||||
{ provider, models: providerModels },
|
||||
]) => (
|
||||
<ModelSelectorGroup
|
||||
key={`server-${providerLabel}`}
|
||||
heading={providerLabel}
|
||||
className="[&>[cmdk-group-heading]]:pl-4"
|
||||
{/* Server Default Option - only show when no server models are configured */}
|
||||
{serverModels.length === 0 && (
|
||||
<ModelSelectorGroup
|
||||
heading={dict.modelConfig.default}
|
||||
>
|
||||
<ModelSelectorItem
|
||||
value="__server_default__"
|
||||
onSelect={handleSelect}
|
||||
className={cn(
|
||||
"cursor-pointer",
|
||||
!selectedModelId && "bg-accent",
|
||||
)}
|
||||
>
|
||||
{providerModels.map((model) => (
|
||||
<ModelSelectorItem
|
||||
key={model.id}
|
||||
value={model.modelId}
|
||||
onSelect={() =>
|
||||
handleSelect(model.id)
|
||||
}
|
||||
className="cursor-pointer"
|
||||
>
|
||||
<Check
|
||||
className={cn(
|
||||
"mr-2 h-4 w-4",
|
||||
selectedModelId ===
|
||||
model.id
|
||||
? "opacity-100"
|
||||
: "opacity-0",
|
||||
)}
|
||||
/>
|
||||
<ModelSelectorLogo
|
||||
provider={
|
||||
PROVIDER_LOGO_MAP[
|
||||
provider
|
||||
] || provider
|
||||
}
|
||||
className="mr-2"
|
||||
/>
|
||||
<ModelSelectorName>
|
||||
{model.modelId}
|
||||
</ModelSelectorName>
|
||||
{model.isDefault && (
|
||||
<span
|
||||
title={
|
||||
dict.modelConfig
|
||||
.serverDefaultModel
|
||||
}
|
||||
className="ml-auto text-xs text-muted-foreground"
|
||||
>
|
||||
{
|
||||
dict.modelConfig
|
||||
.default
|
||||
}
|
||||
</span>
|
||||
)}
|
||||
</ModelSelectorItem>
|
||||
))}
|
||||
</ModelSelectorGroup>
|
||||
),
|
||||
<Check
|
||||
className={cn(
|
||||
"mr-2 h-4 w-4",
|
||||
!selectedModelId
|
||||
? "opacity-100"
|
||||
: "opacity-0",
|
||||
)}
|
||||
/>
|
||||
<Server className="mr-2 h-4 w-4 text-muted-foreground" />
|
||||
<ModelSelectorName>
|
||||
{dict.modelConfig.serverDefault}
|
||||
</ModelSelectorName>
|
||||
</ModelSelectorItem>
|
||||
</ModelSelectorGroup>
|
||||
)}
|
||||
</>
|
||||
)}
|
||||
|
||||
{/* User Models Section */}
|
||||
{userModels.length > 0 && (
|
||||
<>
|
||||
{/* Server Models Section */}
|
||||
{serverModels.length > 0 && (
|
||||
<ModelSelectorSeparator />
|
||||
)}
|
||||
<ModelSelectorSectionHeader
|
||||
icon={<User />}
|
||||
label={dict.modelConfig.userModels}
|
||||
/>
|
||||
{Array.from(groupedUserModels.entries()).map(
|
||||
([
|
||||
providerLabel,
|
||||
{ provider, models: providerModels },
|
||||
]) => (
|
||||
<ModelSelectorGroup
|
||||
key={`user-${providerLabel}`}
|
||||
heading={providerLabel}
|
||||
className="[&>[cmdk-group-heading]]:pl-4"
|
||||
>
|
||||
{providerModels.map((model) => (
|
||||
<ModelSelectorItem
|
||||
key={model.id}
|
||||
value={model.modelId}
|
||||
onSelect={() =>
|
||||
handleSelect(model.id)
|
||||
}
|
||||
className="cursor-pointer"
|
||||
<>
|
||||
<ModelSelectorSectionHeader
|
||||
icon={<Monitor />}
|
||||
label={
|
||||
dict.modelConfig.serverModels
|
||||
}
|
||||
/>
|
||||
{Array.from(
|
||||
groupedServerModels.entries(),
|
||||
).map(
|
||||
([
|
||||
providerLabel,
|
||||
{
|
||||
provider,
|
||||
models: providerModels,
|
||||
},
|
||||
]) => (
|
||||
<ModelSelectorGroup
|
||||
key={`server-${providerLabel}`}
|
||||
heading={providerLabel}
|
||||
className="[&>[cmdk-group-heading]]:pl-4"
|
||||
>
|
||||
<Check
|
||||
className={cn(
|
||||
"mr-2 h-4 w-4",
|
||||
selectedModelId ===
|
||||
model.id
|
||||
? "opacity-100"
|
||||
: "opacity-0",
|
||||
)}
|
||||
/>
|
||||
<ModelSelectorLogo
|
||||
provider={
|
||||
PROVIDER_LOGO_MAP[
|
||||
provider
|
||||
] || provider
|
||||
}
|
||||
className="mr-2"
|
||||
/>
|
||||
<ModelSelectorName>
|
||||
{model.modelId}
|
||||
</ModelSelectorName>
|
||||
{model.validated !==
|
||||
true && (
|
||||
<span
|
||||
title={
|
||||
dict.modelConfig
|
||||
.unvalidatedModelWarning
|
||||
}
|
||||
>
|
||||
<AlertTriangle className="ml-auto h-3 w-3 text-warning" />
|
||||
</span>
|
||||
{providerModels.map(
|
||||
(model) => (
|
||||
<ModelSelectorItem
|
||||
key={model.id}
|
||||
value={
|
||||
model.modelId
|
||||
}
|
||||
onSelect={() =>
|
||||
handleSelect(
|
||||
model.id,
|
||||
)
|
||||
}
|
||||
className="cursor-pointer"
|
||||
>
|
||||
<Check
|
||||
className={cn(
|
||||
"mr-2 h-4 w-4",
|
||||
selectedModelId ===
|
||||
model.id
|
||||
? "opacity-100"
|
||||
: "opacity-0",
|
||||
)}
|
||||
/>
|
||||
<ModelSelectorLogo
|
||||
provider={
|
||||
PROVIDER_LOGO_MAP[
|
||||
provider
|
||||
] ||
|
||||
provider
|
||||
}
|
||||
className="mr-2"
|
||||
/>
|
||||
<ModelSelectorName>
|
||||
{
|
||||
model.modelId
|
||||
}
|
||||
</ModelSelectorName>
|
||||
{model.isDefault && (
|
||||
<span
|
||||
title={
|
||||
dict
|
||||
.modelConfig
|
||||
.serverDefaultModel
|
||||
}
|
||||
className="ml-auto text-xs text-muted-foreground"
|
||||
>
|
||||
{
|
||||
dict
|
||||
.modelConfig
|
||||
.default
|
||||
}
|
||||
</span>
|
||||
)}
|
||||
</ModelSelectorItem>
|
||||
),
|
||||
)}
|
||||
</ModelSelectorItem>
|
||||
))}
|
||||
</ModelSelectorGroup>
|
||||
),
|
||||
</ModelSelectorGroup>
|
||||
),
|
||||
)}
|
||||
</>
|
||||
)}
|
||||
</>
|
||||
)}
|
||||
|
||||
{/* Configure Option */}
|
||||
<ModelSelectorSeparator />
|
||||
<ModelSelectorGroup>
|
||||
<ModelSelectorItem
|
||||
value="__configure__"
|
||||
onSelect={handleSelect}
|
||||
className="cursor-pointer text-muted-foreground hover:text-foreground"
|
||||
>
|
||||
<Settings2 className="mr-2 h-4 w-4" />
|
||||
<ModelSelectorName>
|
||||
{dict.modelConfig.configureModels}
|
||||
</ModelSelectorName>
|
||||
</ModelSelectorItem>
|
||||
</ModelSelectorGroup>
|
||||
{/* Info text */}
|
||||
<div className="px-3 py-2 text-xs text-muted-foreground border-t">
|
||||
{showUnvalidatedModels
|
||||
? dict.modelConfig.allModelsShown
|
||||
: dict.modelConfig.onlyVerifiedShown}
|
||||
{/* User Models Section */}
|
||||
{userModels.length > 0 && (
|
||||
<>
|
||||
{serverModels.length > 0 && (
|
||||
<ModelSelectorSeparator />
|
||||
)}
|
||||
<ModelSelectorSectionHeader
|
||||
icon={<User />}
|
||||
label={dict.modelConfig.userModels}
|
||||
/>
|
||||
{Array.from(
|
||||
groupedUserModels.entries(),
|
||||
).map(
|
||||
([
|
||||
providerLabel,
|
||||
{
|
||||
provider,
|
||||
models: providerModels,
|
||||
},
|
||||
]) => (
|
||||
<ModelSelectorGroup
|
||||
key={`user-${providerLabel}`}
|
||||
heading={providerLabel}
|
||||
className="[&>[cmdk-group-heading]]:pl-4"
|
||||
>
|
||||
{providerModels.map(
|
||||
(model) => (
|
||||
<ModelSelectorItem
|
||||
key={model.id}
|
||||
value={
|
||||
model.modelId
|
||||
}
|
||||
onSelect={() =>
|
||||
handleSelect(
|
||||
model.id,
|
||||
)
|
||||
}
|
||||
className="cursor-pointer"
|
||||
>
|
||||
<Check
|
||||
className={cn(
|
||||
"mr-2 h-4 w-4",
|
||||
selectedModelId ===
|
||||
model.id
|
||||
? "opacity-100"
|
||||
: "opacity-0",
|
||||
)}
|
||||
/>
|
||||
<ModelSelectorLogo
|
||||
provider={
|
||||
PROVIDER_LOGO_MAP[
|
||||
provider
|
||||
] ||
|
||||
provider
|
||||
}
|
||||
className="mr-2"
|
||||
/>
|
||||
<ModelSelectorName>
|
||||
{
|
||||
model.modelId
|
||||
}
|
||||
</ModelSelectorName>
|
||||
{model.validated !==
|
||||
true && (
|
||||
<span
|
||||
title={
|
||||
dict
|
||||
.modelConfig
|
||||
.unvalidatedModelWarning
|
||||
}
|
||||
>
|
||||
<AlertTriangle className="ml-auto h-3 w-3 text-warning" />
|
||||
</span>
|
||||
)}
|
||||
</ModelSelectorItem>
|
||||
),
|
||||
)}
|
||||
</ModelSelectorGroup>
|
||||
),
|
||||
)}
|
||||
</>
|
||||
)}
|
||||
</ModelSelectorList>
|
||||
</div>
|
||||
</ModelSelectorList>
|
||||
{/* Pinned footer: Configure Models... + info text (z-10 above list shadow) */}
|
||||
<div className="relative z-10 shrink-0 border-t bg-background">
|
||||
{onConfigure && (
|
||||
<div className="px-3 py-2">
|
||||
<ModelSelectorItem
|
||||
value="__configure_models__"
|
||||
onSelect={() => {
|
||||
onConfigure()
|
||||
setOpen(false)
|
||||
}}
|
||||
className="flex cursor-pointer items-center gap-2 rounded-sm"
|
||||
>
|
||||
<Settings2 className="h-4 w-4 shrink-0 text-muted-foreground" />
|
||||
<ModelSelectorName>
|
||||
{dict.modelConfig.configureModels}
|
||||
</ModelSelectorName>
|
||||
</ModelSelectorItem>
|
||||
</div>
|
||||
)}
|
||||
<div className="px-3 pb-2 text-xs text-muted-foreground">
|
||||
{showUnvalidatedModels
|
||||
? dict.modelConfig.allModelsShown
|
||||
: dict.modelConfig.onlyVerifiedShown}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</ModelSelectorContent>
|
||||
</ModelSelectorRoot>
|
||||
</div>
|
||||
|
||||
@@ -79,7 +79,7 @@ export function QuotaLimitToast({
|
||||
<p
|
||||
dangerouslySetInnerHTML={{
|
||||
__html: formatMessage(dict.quota.doubaoSponsorship, {
|
||||
link: "https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project",
|
||||
link: "https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project",
|
||||
}),
|
||||
}}
|
||||
/>
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
"use client"
|
||||
|
||||
import { Github, Info, Moon, Sun, Tag } from "lucide-react"
|
||||
import { ChevronRight, 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"
|
||||
@@ -56,6 +56,7 @@ const LANGUAGE_LABELS: Record<Locale, string> = {
|
||||
en: "English",
|
||||
zh: "中文",
|
||||
ja: "日本語",
|
||||
"zh-Hant": "繁體中文",
|
||||
}
|
||||
|
||||
interface SettingsDialogProps {
|
||||
@@ -69,6 +70,7 @@ interface SettingsDialogProps {
|
||||
onMinimalStyleChange?: (value: boolean) => void
|
||||
vlmValidationEnabled?: boolean
|
||||
onVlmValidationChange?: (value: boolean) => void
|
||||
onOpenModelConfig?: () => void
|
||||
}
|
||||
|
||||
export const STORAGE_ACCESS_CODE_KEY = "next-ai-draw-io-access-code"
|
||||
@@ -92,6 +94,7 @@ function SettingsContent({
|
||||
onMinimalStyleChange = () => {},
|
||||
vlmValidationEnabled = false,
|
||||
onVlmValidationChange = () => {},
|
||||
onOpenModelConfig,
|
||||
}: SettingsDialogProps) {
|
||||
const dict = useDictionary()
|
||||
const router = useRouter()
|
||||
@@ -283,6 +286,27 @@ function SettingsContent({
|
||||
{/* Content */}
|
||||
<div className="px-6 pb-6">
|
||||
<div className="divide-y divide-border-subtle">
|
||||
{/* API Keys & Models */}
|
||||
{onOpenModelConfig && (
|
||||
<SettingItem
|
||||
label={dict.settings.apiKeysModels}
|
||||
description={dict.settings.apiKeysModelsDescription}
|
||||
>
|
||||
<Button
|
||||
variant="ghost"
|
||||
size="sm"
|
||||
className="h-9 w-9 p-0"
|
||||
onClick={() => {
|
||||
onOpenChange(false)
|
||||
onOpenModelConfig()
|
||||
}}
|
||||
aria-label={dict.settings.apiKeysModels}
|
||||
>
|
||||
<ChevronRight className="h-4 w-4" />
|
||||
</Button>
|
||||
</SettingItem>
|
||||
)}
|
||||
|
||||
{/* Access Code (conditional) */}
|
||||
{accessCodeRequired && (
|
||||
<div className="py-4 first:pt-0 space-y-3">
|
||||
|
||||
@@ -77,12 +77,13 @@ function CommandInput({
|
||||
)
|
||||
}
|
||||
|
||||
function CommandList({
|
||||
className,
|
||||
...props
|
||||
}: React.ComponentProps<typeof CommandPrimitive.List>) {
|
||||
const CommandList = React.forwardRef<
|
||||
React.ElementRef<typeof CommandPrimitive.List>,
|
||||
React.ComponentPropsWithoutRef<typeof CommandPrimitive.List>
|
||||
>(({ className, ...props }, ref) => {
|
||||
return (
|
||||
<CommandPrimitive.List
|
||||
ref={ref}
|
||||
data-slot="command-list"
|
||||
className={cn(
|
||||
"max-h-[300px] scroll-py-1 overflow-x-hidden overflow-y-auto",
|
||||
@@ -91,7 +92,8 @@ function CommandList({
|
||||
{...props}
|
||||
/>
|
||||
)
|
||||
}
|
||||
})
|
||||
CommandList.displayName = CommandPrimitive.List.displayName ?? "CommandList"
|
||||
|
||||
function CommandEmpty({
|
||||
...props
|
||||
|
||||
@@ -19,7 +19,7 @@
|
||||
|
||||
一个集成了AI功能的Next.js网页应用,与draw.io图表无缝结合。通过自然语言命令和AI辅助可视化来创建、修改和增强图表。
|
||||
|
||||
> 注:感谢 <img src="https://raw.githubusercontent.com/DayuanJiang/next-ai-draw-io/main/public/doubao-color.png" alt="" height="20" /> [字节跳动豆包](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) 的赞助支持,本项目的 Demo 现已接入强大的 K2-thinking 模型!
|
||||
> 注:感谢 <img src="https://raw.githubusercontent.com/DayuanJiang/next-ai-draw-io/main/public/doubao-color.png" alt="" height="20" /> [字节跳动豆包](https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) 的赞助支持,本项目的 Demo 现已接入强大的 K2-thinking 模型!
|
||||
|
||||
https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
|
||||
|
||||
@@ -195,7 +195,7 @@ npm run dev
|
||||
|
||||
## 多提供商支持
|
||||
|
||||
- [字节跳动豆包](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)
|
||||
- [字节跳动豆包](https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)
|
||||
- AWS Bedrock(默认)
|
||||
- OpenAI
|
||||
- Anthropic
|
||||
@@ -236,7 +236,7 @@ npm run dev
|
||||
|
||||
## 支持与联系
|
||||
|
||||
**特别感谢[字节跳动豆包](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)赞助演示站点的 API Token 使用!** 注册火山引擎 ARK 平台即可获得50万免费Token!
|
||||
**特别感谢[字节跳动豆包](https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)赞助演示站点的 API Token 使用!** 注册火山引擎 ARK 平台即可获得50万免费Token!
|
||||
|
||||
如果您觉得这个项目有用,请考虑[赞助](https://github.com/sponsors/DayuanJiang)来帮助我托管在线演示站点!
|
||||
|
||||
|
||||
@@ -13,7 +13,7 @@
|
||||
|
||||
### 豆包 (字节跳动火山引擎)
|
||||
|
||||
> **免费 Token**:在 [火山引擎 ARK 平台](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) 注册,即可获得所有模型 50 万免费 Token!
|
||||
> **免费 Token**:在 [火山引擎 ARK 平台](https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) 注册,即可获得所有模型 50 万免费 Token!
|
||||
|
||||
```bash
|
||||
DOUBAO_API_KEY=your_api_key
|
||||
|
||||
@@ -13,7 +13,7 @@ This guide explains how to configure different AI model providers for next-ai-dr
|
||||
|
||||
### Doubao (ByteDance Volcengine)
|
||||
|
||||
> **Free tokens**: Register on the [Volcengine ARK platform](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) to get 500K free tokens for all models!
|
||||
> **Free tokens**: Register on the [Volcengine ARK platform](https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) to get 500K free tokens for all models!
|
||||
|
||||
```bash
|
||||
DOUBAO_API_KEY=your_api_key
|
||||
|
||||
@@ -19,7 +19,7 @@
|
||||
|
||||
AI機能とdraw.ioダイアグラムを統合したNext.jsウェブアプリケーションです。自然言語コマンドとAI支援の可視化により、ダイアグラムを作成、修正、強化できます。
|
||||
|
||||
> 注:<img src="https://raw.githubusercontent.com/DayuanJiang/next-ai-draw-io/main/public/doubao-color.png" alt="" height="20" /> [ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) のご支援により、デモサイトに強力な K2-thinking モデルを導入しました!
|
||||
> 注:<img src="https://raw.githubusercontent.com/DayuanJiang/next-ai-draw-io/main/public/doubao-color.png" alt="" height="20" /> [ByteDance Doubao](https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project) のご支援により、デモサイトに強力な K2-thinking モデルを導入しました!
|
||||
|
||||
https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979
|
||||
|
||||
@@ -196,7 +196,7 @@ 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
|
||||
|
||||
## マルチプロバイダーサポート
|
||||
|
||||
- [ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)
|
||||
- [ByteDance Doubao](https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)
|
||||
- AWS Bedrock(デフォルト)
|
||||
- OpenAI
|
||||
- Anthropic
|
||||
@@ -237,7 +237,7 @@ AWS BedrockとOpenRouter以外のすべてのプロバイダーはカスタム
|
||||
|
||||
## サポート&お問い合わせ
|
||||
|
||||
**デモサイトのAPIトークン使用を支援してくださった[ByteDance Doubao](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)に特別な感謝を申し上げます!** ARKプラットフォームに登録すると、50万トークンが無料でもらえます!
|
||||
**デモサイトのAPIトークン使用を支援してくださった[ByteDance Doubao](https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)に特別な感謝を申し上げます!** ARKプラットフォームに登録すると、50万トークンが無料でもらえます!
|
||||
|
||||
このプロジェクトが役に立ったら、ライブデモサイトのホスティングを支援するために[スポンサー](https://github.com/sponsors/DayuanJiang)をご検討ください!
|
||||
|
||||
|
||||
@@ -13,7 +13,7 @@
|
||||
|
||||
### Doubao (ByteDance Volcengine)
|
||||
|
||||
> **無料トークン**: [Volcengine ARK プラットフォーム](https://console.volcengine.com/ark/region:ark+cn-beijing/overview?briefPage=0&briefType=introduce&type=new&utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)に登録すると、すべてのモデルで使える50万トークンが無料で入手できます!
|
||||
> **無料トークン**: [Volcengine ARK プラットフォーム](https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project)に登録すると、すべてのモデルで使える50万トークンが無料で入手できます!
|
||||
|
||||
```bash
|
||||
DOUBAO_API_KEY=your_api_key
|
||||
|
||||
367
docs/shape-libraries/material_design.md
Normal file
367
docs/shape-libraries/material_design.md
Normal file
@@ -0,0 +1,367 @@
|
||||
# material_design
|
||||
|
||||
**Type:** SVG images (Google Material Icons CDN)
|
||||
**URL Pattern:** `https://fonts.gstatic.com/s/i/materialicons/{icon_name}/v6/24px.svg`
|
||||
|
||||
## Usage
|
||||
|
||||
```xml
|
||||
<mxCell value="label" style="image;aspect=fixed;html=1;image=https://fonts.gstatic.com/s/i/materialicons/{icon_name}/v6/24px.svg;verticalLabelPosition=bottom;verticalAlign=top;align=center;" vertex="1" parent="1">
|
||||
<mxGeometry x="0" y="0" width="48" height="48" as="geometry" />
|
||||
</mxCell>
|
||||
```
|
||||
|
||||
Replace `{icon_name}` with any icon name from the list below.
|
||||
|
||||
## action (115)
|
||||
|
||||
- `account_balance`
|
||||
- `account_balance_wallet`
|
||||
- `account_box`
|
||||
- `account_circle`
|
||||
- `add_shopping_cart`
|
||||
- `admin_panel_settings`
|
||||
- `analytics`
|
||||
- `arrow_right_alt`
|
||||
- `article`
|
||||
- `assessment`
|
||||
- `assignment`
|
||||
- `assignment_ind`
|
||||
- `assignment_turned_in`
|
||||
- `autorenew`
|
||||
- `bookmark`
|
||||
- `bookmark_border`
|
||||
- `build`
|
||||
- `calendar_month`
|
||||
- `calendar_today`
|
||||
- `card_giftcard`
|
||||
- `check_circle`
|
||||
- `check_circle_outline`
|
||||
- `code`
|
||||
- `contact_support`
|
||||
- `credit_card`
|
||||
- `dashboard`
|
||||
- `date_range`
|
||||
- `delete`
|
||||
- `delete_forever`
|
||||
- `delete_outline`
|
||||
- `description`
|
||||
- `dns`
|
||||
- `done`
|
||||
- `done_all`
|
||||
- `done_outline`
|
||||
- `drag_indicator`
|
||||
- `event`
|
||||
- `exit_to_app`
|
||||
- `explore`
|
||||
- `face`
|
||||
- `fact_check`
|
||||
- `favorite`
|
||||
- `favorite_border`
|
||||
- `feedback`
|
||||
- `filter_alt`
|
||||
- `fingerprint`
|
||||
- `flight_takeoff`
|
||||
- `grade`
|
||||
- `help`
|
||||
- `help_outline`
|
||||
- `highlight_off`
|
||||
- `history`
|
||||
- `home`
|
||||
- `info`
|
||||
- `label`
|
||||
- `language`
|
||||
- `launch`
|
||||
- `leaderboard`
|
||||
- `lightbulb`
|
||||
- `list`
|
||||
- `lock`
|
||||
- `lock_open`
|
||||
- `login`
|
||||
- `logout`
|
||||
- `manage_accounts`
|
||||
- `note_add`
|
||||
- `open_in_full`
|
||||
- `open_in_new`
|
||||
- `paid`
|
||||
- `payment`
|
||||
- `pending`
|
||||
- `pending_actions`
|
||||
- `perm_identity`
|
||||
- `pets`
|
||||
- `power_settings_new`
|
||||
- `preview`
|
||||
- `print`
|
||||
- `published_with_changes`
|
||||
- `question_answer`
|
||||
- `receipt`
|
||||
- `reorder`
|
||||
- `report_problem`
|
||||
- `room`
|
||||
- `savings`
|
||||
- `schedule`
|
||||
- `search`
|
||||
- `settings`
|
||||
- `shopping_bag`
|
||||
- `shopping_basket`
|
||||
- `shopping_cart`
|
||||
- `star_rate`
|
||||
- `stars`
|
||||
- `store`
|
||||
- `supervisor_account`
|
||||
- `swap_horiz`
|
||||
- `sync_alt`
|
||||
- `task_alt`
|
||||
- `thumb_up`
|
||||
- `thumb_up_off_alt`
|
||||
- `timeline`
|
||||
- `tips_and_updates`
|
||||
- `today`
|
||||
- `touch_app`
|
||||
- `trending_up`
|
||||
- `update`
|
||||
- `verified`
|
||||
- `verified_user`
|
||||
- `view_in_ar`
|
||||
- `view_list`
|
||||
- `visibility`
|
||||
- `visibility_off`
|
||||
- `watch_later`
|
||||
- `work`
|
||||
- `work_outline`
|
||||
- `zoom_in`
|
||||
|
||||
## alert (4)
|
||||
|
||||
- `error`
|
||||
- `error_outline`
|
||||
- `warning`
|
||||
- `warning_amber`
|
||||
|
||||
## av (12)
|
||||
|
||||
- `library_books`
|
||||
- `mic`
|
||||
- `pause`
|
||||
- `play_arrow`
|
||||
- `play_circle`
|
||||
- `play_circle_filled`
|
||||
- `play_circle_outline`
|
||||
- `replay`
|
||||
- `skip_next`
|
||||
- `videocam`
|
||||
- `volume_off`
|
||||
- `volume_up`
|
||||
|
||||
## communication (13)
|
||||
|
||||
- `alternate_email`
|
||||
- `business`
|
||||
- `call`
|
||||
- `chat`
|
||||
- `chat_bubble_outline`
|
||||
- `email`
|
||||
- `forum`
|
||||
- `list_alt`
|
||||
- `location_on`
|
||||
- `mail_outline`
|
||||
- `phone`
|
||||
- `qr_code_scanner`
|
||||
- `vpn_key`
|
||||
|
||||
## content (27)
|
||||
|
||||
- `add`
|
||||
- `add_box`
|
||||
- `add_circle`
|
||||
- `add_circle_outline`
|
||||
- `block`
|
||||
- `bolt`
|
||||
- `calculate`
|
||||
- `clear`
|
||||
- `content_copy`
|
||||
- `create`
|
||||
- `filter_list`
|
||||
- `flag`
|
||||
- `how_to_reg`
|
||||
- `insights`
|
||||
- `inventory`
|
||||
- `inventory_2`
|
||||
- `link`
|
||||
- `mail`
|
||||
- `push_pin`
|
||||
- `remove`
|
||||
- `remove_circle`
|
||||
- `remove_circle_outline`
|
||||
- `reply`
|
||||
- `save`
|
||||
- `send`
|
||||
- `sort`
|
||||
- `undo`
|
||||
|
||||
## device (9)
|
||||
|
||||
- `dark_mode`
|
||||
- `devices`
|
||||
- `light_mode`
|
||||
- `password`
|
||||
- `restart_alt`
|
||||
- `sell`
|
||||
- `signal_cellular_alt`
|
||||
- `summarize`
|
||||
- `task`
|
||||
|
||||
## editor (9)
|
||||
|
||||
- `attach_file`
|
||||
- `attach_money`
|
||||
- `bar_chart`
|
||||
- `checklist`
|
||||
- `edit_note`
|
||||
- `format_list_bulleted`
|
||||
- `mode_edit`
|
||||
- `monetization_on`
|
||||
- `post_add`
|
||||
|
||||
## file (8)
|
||||
|
||||
- `cloud_upload`
|
||||
- `download`
|
||||
- `file_download`
|
||||
- `file_upload`
|
||||
- `folder`
|
||||
- `folder_open`
|
||||
- `grid_view`
|
||||
- `upload_file`
|
||||
|
||||
## hardware (6)
|
||||
|
||||
- `computer`
|
||||
- `keyboard_arrow_down`
|
||||
- `keyboard_arrow_right`
|
||||
- `phone_iphone`
|
||||
- `security`
|
||||
- `smartphone`
|
||||
|
||||
## image (16)
|
||||
|
||||
- `add_a_photo`
|
||||
- `auto_awesome`
|
||||
- `auto_stories`
|
||||
- `circle`
|
||||
- `collections`
|
||||
- `edit`
|
||||
- `image`
|
||||
- `navigate_before`
|
||||
- `navigate_next`
|
||||
- `palette`
|
||||
- `photo_camera`
|
||||
- `picture_as_pdf`
|
||||
- `receipt_long`
|
||||
- `remove_red_eye`
|
||||
- `timer`
|
||||
- `tune`
|
||||
|
||||
## maps (11)
|
||||
|
||||
- `badge`
|
||||
- `category`
|
||||
- `directions_car`
|
||||
- `local_fire_department`
|
||||
- `local_offer`
|
||||
- `local_shipping`
|
||||
- `map`
|
||||
- `menu_book`
|
||||
- `place`
|
||||
- `restaurant`
|
||||
- `volunteer_activism`
|
||||
|
||||
## navigation (29)
|
||||
|
||||
- `apps`
|
||||
- `arrow_back`
|
||||
- `arrow_back_ios`
|
||||
- `arrow_back_ios_new`
|
||||
- `arrow_downward`
|
||||
- `arrow_drop_down`
|
||||
- `arrow_drop_up`
|
||||
- `arrow_forward`
|
||||
- `arrow_forward_ios`
|
||||
- `arrow_right`
|
||||
- `arrow_upward`
|
||||
- `campaign`
|
||||
- `cancel`
|
||||
- `check`
|
||||
- `chevron_left`
|
||||
- `chevron_right`
|
||||
- `close`
|
||||
- `double_arrow`
|
||||
- `east`
|
||||
- `expand_less`
|
||||
- `expand_more`
|
||||
- `fullscreen`
|
||||
- `menu`
|
||||
- `menu_open`
|
||||
- `more_horiz`
|
||||
- `more_vert`
|
||||
- `payments`
|
||||
- `refresh`
|
||||
- `unfold_more`
|
||||
|
||||
## notification (6)
|
||||
|
||||
- `account_tree`
|
||||
- `event_available`
|
||||
- `priority_high`
|
||||
- `support_agent`
|
||||
- `sync`
|
||||
- `wifi`
|
||||
|
||||
## places (2)
|
||||
|
||||
- `apartment`
|
||||
- `storefront`
|
||||
|
||||
## search (2)
|
||||
|
||||
- `feed`
|
||||
- `manage_search`
|
||||
|
||||
## social (23)
|
||||
|
||||
- `construction`
|
||||
- `emoji_emotions`
|
||||
- `emoji_events`
|
||||
- `engineering`
|
||||
- `group`
|
||||
- `group_add`
|
||||
- `groups`
|
||||
- `health_and_safety`
|
||||
- `notifications`
|
||||
- `notifications_active`
|
||||
- `notifications_none`
|
||||
- `people`
|
||||
- `people_alt`
|
||||
- `person`
|
||||
- `person_add`
|
||||
- `person_outline`
|
||||
- `psychology`
|
||||
- `public`
|
||||
- `school`
|
||||
- `share`
|
||||
- `thumb_up_alt`
|
||||
- `travel_explore`
|
||||
- `water_drop`
|
||||
|
||||
## toggle (8)
|
||||
|
||||
- `check_box`
|
||||
- `check_box_outline_blank`
|
||||
- `radio_button_checked`
|
||||
- `radio_button_unchecked`
|
||||
- `star`
|
||||
- `star_border`
|
||||
- `star_outline`
|
||||
- `toggle_on`
|
||||
|
||||
Total: 300 icons (top by popularity from 2100+ available)
|
||||
4
electron/electron.d.ts
vendored
4
electron/electron.d.ts
vendored
@@ -69,7 +69,9 @@ declare global {
|
||||
/** Set proxy configuration (saves and restarts server) */
|
||||
setProxy: (config: ProxyConfig) => Promise<SetProxyResult>
|
||||
/** Get user's preferred locale */
|
||||
getUserLocale: () => Promise<"en" | "zh" | "ja" | undefined>
|
||||
getUserLocale: () => Promise<
|
||||
"en" | "zh" | "ja" | "zh-Hant" | undefined
|
||||
>
|
||||
/** Set user's preferred locale */
|
||||
setUserLocale: (locale: string) => Promise<SetUserLocaleResult>
|
||||
}
|
||||
|
||||
@@ -137,7 +137,7 @@ interface ConfigPresetsFile {
|
||||
version: 1
|
||||
currentPresetId: string | null
|
||||
presets: ConfigPreset[]
|
||||
userLocale?: "en" | "zh" | "ja"
|
||||
userLocale?: "en" | "zh" | "ja" | "zh-Hant"
|
||||
}
|
||||
|
||||
const CONFIG_FILE_NAME = "config-presets.json"
|
||||
@@ -359,9 +359,9 @@ const PROVIDER_ENV_MAP: Record<string, { apiKey: string; baseUrl: string }> = {
|
||||
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 doesn't use API keys in the same way
|
||||
bedrock: { apiKey: "", baseUrl: "" },
|
||||
ollama: { apiKey: "", baseUrl: "OLLAMA_BASE_URL" },
|
||||
ollama: { apiKey: "OLLAMA_API_KEY", baseUrl: "OLLAMA_BASE_URL" },
|
||||
}
|
||||
|
||||
/**
|
||||
@@ -470,7 +470,7 @@ export function getCurrentPresetEnv(): Record<string, string> {
|
||||
* Get user's preferred locale from config
|
||||
* Returns undefined if not set
|
||||
*/
|
||||
export function getUserLocale(): "en" | "zh" | "ja" | undefined {
|
||||
export function getUserLocale(): "en" | "zh" | "ja" | "zh-Hant" | undefined {
|
||||
const data = loadPresets()
|
||||
return data.userLocale
|
||||
}
|
||||
@@ -478,7 +478,9 @@ export function getUserLocale(): "en" | "zh" | "ja" | undefined {
|
||||
/**
|
||||
* Set user's preferred locale in config
|
||||
*/
|
||||
export function setUserLocale(locale: "en" | "zh" | "ja" | null): void {
|
||||
export function setUserLocale(
|
||||
locale: "en" | "zh" | "ja" | "zh-Hant" | null,
|
||||
): void {
|
||||
const data = loadPresets()
|
||||
data.userLocale = locale === null ? undefined : locale
|
||||
savePresets(data)
|
||||
|
||||
@@ -94,7 +94,8 @@ if (!gotTheLock) {
|
||||
if (
|
||||
url.includes("diagrams.net") ||
|
||||
url.includes("draw.io") ||
|
||||
url.startsWith("http://localhost")
|
||||
url.startsWith("http://localhost") ||
|
||||
url.startsWith("http://127.0.0.1")
|
||||
) {
|
||||
return { action: "allow" }
|
||||
}
|
||||
|
||||
@@ -263,12 +263,12 @@ export function registerIpcHandlers(): void {
|
||||
|
||||
ipcMain.handle("set-user-locale", (_event, locale: string) => {
|
||||
// Validate locale is one of the supported values
|
||||
if (!["en", "zh", "ja"].includes(locale)) {
|
||||
if (!["en", "zh", "ja", "zh-Hant"].includes(locale)) {
|
||||
return { success: false, error: "Invalid locale" }
|
||||
}
|
||||
|
||||
try {
|
||||
setUserLocale(locale as "en" | "zh" | "ja")
|
||||
setUserLocale(locale as "en" | "zh" | "ja" | "zh-Hant")
|
||||
// Rebuild the menu to reflect the new locale
|
||||
rebuildAppMenu()
|
||||
return { success: true }
|
||||
|
||||
@@ -5,7 +5,7 @@
|
||||
|
||||
import { getUserLocale } from "./config-manager"
|
||||
|
||||
export type MenuLocale = "en" | "zh" | "ja"
|
||||
export type MenuLocale = "en" | "zh" | "ja" | "zh-Hant"
|
||||
|
||||
export interface MenuTranslations {
|
||||
// App menu (macOS only)
|
||||
@@ -119,6 +119,34 @@ const translations: Record<MenuLocale, MenuTranslations> = {
|
||||
documentation: "ドキュメント",
|
||||
reportIssue: "問題を報告",
|
||||
},
|
||||
|
||||
"zh-Hant": {
|
||||
// App menu
|
||||
settings: "設定...",
|
||||
|
||||
// File menu
|
||||
file: "檔案",
|
||||
|
||||
// Edit menu
|
||||
edit: "編輯",
|
||||
|
||||
// View menu
|
||||
view: "檢視",
|
||||
|
||||
// Configuration menu
|
||||
configuration: "配置",
|
||||
switchPreset: "切換預設",
|
||||
managePresets: "管理預設...",
|
||||
addConfigurationPreset: "新增配置預設...",
|
||||
|
||||
// Window menu
|
||||
window: "視窗",
|
||||
|
||||
// Help menu
|
||||
help: "說明",
|
||||
documentation: "文件",
|
||||
reportIssue: "回報問題",
|
||||
},
|
||||
}
|
||||
|
||||
/**
|
||||
@@ -126,6 +154,16 @@ const translations: Record<MenuLocale, MenuTranslations> = {
|
||||
* Falls back to English if locale is not supported
|
||||
*/
|
||||
export function getMenuTranslations(locale: string): MenuTranslations {
|
||||
// Check for zh-Hant before normalizing
|
||||
if (
|
||||
locale === "zh-Hant" ||
|
||||
locale.toLowerCase().startsWith("zh-hant") ||
|
||||
locale.toLowerCase().startsWith("zh-tw") ||
|
||||
locale.toLowerCase().startsWith("zh-hk")
|
||||
) {
|
||||
return translations["zh-Hant"]
|
||||
}
|
||||
|
||||
// Normalize locale (e.g., "zh-CN" -> "zh", "ja-JP" -> "ja")
|
||||
const normalized = locale.toLowerCase().split("-")[0]
|
||||
|
||||
@@ -136,10 +174,21 @@ export function getMenuTranslations(locale: string): MenuTranslations {
|
||||
|
||||
/**
|
||||
* Detect system locale from Electron app
|
||||
* Returns one of: "en", "zh", "ja"
|
||||
* Returns one of: "en", "zh", "ja", "zh-Hant"
|
||||
*/
|
||||
export function detectSystemLocale(appLocale: string): MenuLocale {
|
||||
const normalized = appLocale.toLowerCase().split("-")[0]
|
||||
const lower = appLocale.toLowerCase()
|
||||
|
||||
// Distinguish Traditional Chinese locales (TW, HK, Hant) from Simplified
|
||||
if (
|
||||
lower.startsWith("zh-hant") ||
|
||||
lower.startsWith("zh-tw") ||
|
||||
lower.startsWith("zh-hk")
|
||||
) {
|
||||
return "zh-Hant"
|
||||
}
|
||||
|
||||
const normalized = lower.split("-")[0]
|
||||
|
||||
if (normalized === "zh") return "zh"
|
||||
if (normalized === "ja") return "ja"
|
||||
|
||||
@@ -68,7 +68,7 @@ export async function startNextServer(): Promise<string> {
|
||||
const env: Record<string, string> = {
|
||||
NODE_ENV: "production",
|
||||
PORT: String(port),
|
||||
HOSTNAME: "localhost",
|
||||
HOSTNAME: "127.0.0.1",
|
||||
// Enable Node.js built-in proxy support for fetch (Node.js 24+)
|
||||
NODE_USE_ENV_PROXY: "1",
|
||||
}
|
||||
|
||||
@@ -9,9 +9,11 @@ import { app } from "electron"
|
||||
const PORT_CONFIG = {
|
||||
// Development mode uses fixed port for hot reload compatibility
|
||||
development: 6002,
|
||||
// Production mode uses fixed port (61337) to preserve localStorage
|
||||
// Falls back to sequential ports if unavailable
|
||||
production: 61337,
|
||||
// Legacy production port — tried first to preserve localStorage for existing users
|
||||
legacyProduction: 61337,
|
||||
// New production port below the ephemeral range (49152-65535)
|
||||
// to avoid conflicts with Windows Hyper-V / ephemeral port reservations
|
||||
production: 13370,
|
||||
// Maximum attempts to find an available port (fallback)
|
||||
maxAttempts: 100,
|
||||
}
|
||||
@@ -27,7 +29,10 @@ let allocatedPort: number | null = null
|
||||
export function isPortAvailable(port: number): Promise<boolean> {
|
||||
return new Promise((resolve) => {
|
||||
const server = net.createServer()
|
||||
server.once("error", () => resolve(false))
|
||||
server.once("error", (err: NodeJS.ErrnoException) => {
|
||||
console.warn(`Port ${port} unavailable: ${err.code}`)
|
||||
resolve(false)
|
||||
})
|
||||
server.once("listening", () => {
|
||||
server.close()
|
||||
resolve(true)
|
||||
@@ -39,12 +44,12 @@ export function isPortAvailable(port: number): Promise<boolean> {
|
||||
/**
|
||||
* Find an available port
|
||||
* - In development: uses fixed port (6002)
|
||||
* - In production: uses fixed port (61337) to preserve localStorage
|
||||
* - In production: uses fixed port (13370) to preserve localStorage
|
||||
* - Falls back to sequential ports if preferred port is unavailable
|
||||
* - Last resort: lets the OS assign a port (port 0)
|
||||
*
|
||||
* @param reuseExisting If true, try to reuse the previously allocated port
|
||||
* @returns Promise<number> The available port
|
||||
* @throws Error if no available port found after max attempts
|
||||
*/
|
||||
export async function findAvailablePort(reuseExisting = true): Promise<number> {
|
||||
const isDev = !app.isPackaged
|
||||
@@ -64,7 +69,16 @@ export async function findAvailablePort(reuseExisting = true): Promise<number> {
|
||||
allocatedPort = null
|
||||
}
|
||||
|
||||
// Try preferred port first
|
||||
// In production, try legacy port first to preserve existing users' localStorage
|
||||
if (!isDev) {
|
||||
const legacyPort = PORT_CONFIG.legacyProduction
|
||||
if (await isPortAvailable(legacyPort)) {
|
||||
allocatedPort = legacyPort
|
||||
return legacyPort
|
||||
}
|
||||
}
|
||||
|
||||
// Try preferred port
|
||||
if (await isPortAvailable(preferredPort)) {
|
||||
allocatedPort = preferredPort
|
||||
return preferredPort
|
||||
@@ -84,9 +98,23 @@ export async function findAvailablePort(reuseExisting = true): Promise<number> {
|
||||
}
|
||||
}
|
||||
|
||||
throw new Error(
|
||||
`Failed to find available port after ${PORT_CONFIG.maxAttempts} attempts`,
|
||||
// Last resort: let the OS pick an available port
|
||||
console.warn(
|
||||
"All sequential ports failed. Requesting OS-assigned port (localStorage may not persist across restarts).",
|
||||
)
|
||||
const osPort = await new Promise<number>((resolve, reject) => {
|
||||
const server = net.createServer()
|
||||
server.once("error", reject)
|
||||
server.once("listening", () => {
|
||||
const addr = server.address()
|
||||
const port = (addr as net.AddressInfo).port
|
||||
server.close(() => resolve(port))
|
||||
})
|
||||
server.listen(0, "127.0.0.1")
|
||||
})
|
||||
allocatedPort = osPort
|
||||
console.log(`OS assigned port: ${osPort}`)
|
||||
return osPort
|
||||
}
|
||||
|
||||
/**
|
||||
@@ -113,5 +141,5 @@ export function getServerUrl(): string {
|
||||
"No port allocated yet. Call findAvailablePort() first.",
|
||||
)
|
||||
}
|
||||
return `http://localhost:${allocatedPort}`
|
||||
return `http://127.0.0.1:${allocatedPort}`
|
||||
}
|
||||
|
||||
@@ -66,7 +66,11 @@ export function createWindow(serverUrl: string): BrowserWindow {
|
||||
|
||||
// Handle page title updates
|
||||
mainWindow.webContents.on("page-title-updated", (event, title) => {
|
||||
if (title && !title.includes("localhost")) {
|
||||
if (
|
||||
title &&
|
||||
!title.includes("localhost") &&
|
||||
!title.includes("127.0.0.1")
|
||||
) {
|
||||
mainWindow?.setTitle(title)
|
||||
} else {
|
||||
event.preventDefault()
|
||||
|
||||
@@ -59,8 +59,9 @@ AI_MODEL=global.anthropic.claude-sonnet-4-5-20250929-v1:0
|
||||
# AZURE_REASONING_EFFORT=low # Optional: Azure reasoning effort (low, medium, high)
|
||||
# AZURE_REASONING_SUMMARY=detailed
|
||||
|
||||
# Ollama (Local) Configuration
|
||||
# OLLAMA_BASE_URL=http://localhost:11434/api # Optional, defaults to localhost
|
||||
# Ollama Configuration (Local or Cloud)
|
||||
# OLLAMA_BASE_URL=https://ollama.com/api # Optional, defaults to Ollama Cloud
|
||||
# OLLAMA_API_KEY=your-ollama-cloud-api-key # Optional: For Ollama Cloud or authenticated remote instances
|
||||
# OLLAMA_ENABLE_THINKING=true # Optional: Enable thinking for models that support it (e.g., qwen3)
|
||||
|
||||
# OpenRouter Configuration
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
"use client"
|
||||
|
||||
import { useCallback, useEffect, useState } from "react"
|
||||
import { getApiEndpoint } from "@/lib/base-path"
|
||||
import type { FlattenedServerModel } from "@/lib/server-model-config"
|
||||
import { STORAGE_KEYS } from "@/lib/storage"
|
||||
import {
|
||||
@@ -147,7 +148,7 @@ export function useModelConfig(): UseModelConfigReturn {
|
||||
useEffect(() => {
|
||||
if (typeof window === "undefined") return
|
||||
|
||||
fetch("/api/server-models")
|
||||
fetch(getApiEndpoint("/api/server-models"))
|
||||
.then((res) => {
|
||||
if (!res.ok) {
|
||||
console.error(
|
||||
|
||||
@@ -34,12 +34,13 @@ export interface ClientOverrides {
|
||||
vertexApiKey?: string | null // Express Mode API key
|
||||
// Custom headers (e.g., for EdgeOne cookie auth)
|
||||
headers?: Record<string, string>
|
||||
// Custom env var names for server models (allows multiple API keys per provider)
|
||||
apiKeyEnv?: string
|
||||
// Custom env var name(s) for server models
|
||||
// Can be a single string or array of strings for load balancing
|
||||
apiKeyEnv?: string | string[]
|
||||
baseUrlEnv?: string
|
||||
}
|
||||
|
||||
// Providers that can be used with client-provided API keys
|
||||
// Providers that can be selected from client settings
|
||||
const ALLOWED_CLIENT_PROVIDERS: ProviderName[] = [
|
||||
"openai",
|
||||
"anthropic",
|
||||
@@ -53,6 +54,7 @@ const ALLOWED_CLIENT_PROVIDERS: ProviderName[] = [
|
||||
"sglang",
|
||||
"gateway",
|
||||
"edgeone",
|
||||
"ollama",
|
||||
"doubao",
|
||||
"modelscope",
|
||||
]
|
||||
@@ -98,10 +100,12 @@ export function resolveBaseURL(
|
||||
/**
|
||||
* Resolve API key from custom env var name or default env var.
|
||||
* Supports multiple API keys per provider via ai-models.json apiKeyEnv config.
|
||||
* When multiple keys are configured, randomly selects one for load balancing.
|
||||
*
|
||||
* Priority:
|
||||
* 1. User-provided API key (overrides.apiKey)
|
||||
* 2. Custom env var from ai-models.json (overrides.apiKeyEnv)
|
||||
* 2. Custom env var(s) from ai-models.json (overrides.apiKeyEnv)
|
||||
* - If array, randomly picks one with a valid value
|
||||
* 3. Default provider env var (defaultEnvVar)
|
||||
*/
|
||||
function resolveApiKey(
|
||||
@@ -109,7 +113,30 @@ function resolveApiKey(
|
||||
defaultEnvVar: string,
|
||||
): string | undefined {
|
||||
if (overrides?.apiKey) return overrides.apiKey
|
||||
if (overrides?.apiKeyEnv) return process.env[overrides.apiKeyEnv]
|
||||
|
||||
if (overrides?.apiKeyEnv) {
|
||||
// Handle array of env var names - randomly select one
|
||||
if (Array.isArray(overrides.apiKeyEnv)) {
|
||||
// Filter to only env vars that have values
|
||||
const validEnvVars = overrides.apiKeyEnv.filter(
|
||||
(envVar) => process.env[envVar],
|
||||
)
|
||||
if (validEnvVars.length > 0) {
|
||||
// Randomly select one
|
||||
const selectedEnvVar =
|
||||
validEnvVars[
|
||||
Math.floor(Math.random() * validEnvVars.length)
|
||||
]
|
||||
console.log(
|
||||
`[API Key Routing] Selected ${selectedEnvVar} from ${validEnvVars.length} available keys`,
|
||||
)
|
||||
return process.env[selectedEnvVar]
|
||||
}
|
||||
} else {
|
||||
return process.env[overrides.apiKeyEnv]
|
||||
}
|
||||
}
|
||||
|
||||
return process.env[defaultEnvVar]
|
||||
}
|
||||
|
||||
@@ -515,12 +542,24 @@ function detectProvider(): ProviderName | null {
|
||||
/**
|
||||
* Validate that required API keys are present for the selected provider
|
||||
* @param provider - The provider to validate
|
||||
* @param customApiKeyEnv - Optional custom env var name (from ai-models.json apiKeyEnv)
|
||||
* @param customApiKeyEnv - Optional custom env var name(s) (from ai-models.json apiKeyEnv)
|
||||
*/
|
||||
function validateProviderCredentials(
|
||||
provider: ProviderName,
|
||||
customApiKeyEnv?: string,
|
||||
customApiKeyEnv?: string | string[],
|
||||
): void {
|
||||
// Handle array of env var names - at least one must be set
|
||||
if (Array.isArray(customApiKeyEnv)) {
|
||||
const hasAnyKey = customApiKeyEnv.some((envVar) => process.env[envVar])
|
||||
if (!hasAnyKey) {
|
||||
throw new Error(
|
||||
`At least one of [${customApiKeyEnv.join(", ")}] environment variables is required for ${provider} provider. ` +
|
||||
`Please set at least one in your .env.local file.`,
|
||||
)
|
||||
}
|
||||
return
|
||||
}
|
||||
|
||||
// Use custom env var name if provided, otherwise use default
|
||||
const requiredVar = customApiKeyEnv || PROVIDER_ENV_VARS[provider]
|
||||
if (requiredVar && !process.env[requiredVar]) {
|
||||
@@ -557,7 +596,7 @@ function validateProviderCredentials(
|
||||
* - GOOGLE_GENERATIVE_AI_API_KEY: Google API key
|
||||
* - AZURE_RESOURCE_NAME, AZURE_API_KEY: Azure OpenAI credentials
|
||||
* - AWS_REGION, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY: AWS Bedrock credentials
|
||||
* - OLLAMA_BASE_URL: Ollama server URL (optional, defaults to http://localhost:11434)
|
||||
* - OLLAMA_BASE_URL: Ollama server URL (optional, defaults to https://ollama.com/api)
|
||||
* - OPENROUTER_API_KEY: OpenRouter API key
|
||||
* - DEEPSEEK_API_KEY: DeepSeek API key
|
||||
* - DEEPSEEK_BASE_URL: DeepSeek endpoint (optional)
|
||||
@@ -572,12 +611,15 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
|
||||
// SECURITY: Prevent SSRF attacks (GHSA-9qf7-mprq-9qgm)
|
||||
// If a custom baseUrl is provided, an API key MUST also be provided.
|
||||
// This prevents attackers from redirecting server API keys to malicious endpoints.
|
||||
// Exception: EdgeOne provider doesn't require API key (uses Edge AI runtime)
|
||||
// Exception: EdgeOne doesn't require API keys.
|
||||
// Ollama is exempt only when no server OLLAMA_API_KEY is configured;
|
||||
// when it IS configured, the outer guard also enforces client apiKey for custom baseUrls.
|
||||
if (
|
||||
overrides?.baseUrl &&
|
||||
!overrides?.apiKey &&
|
||||
!(overrides?.provider === "vertexai" && overrides?.vertexApiKey) &&
|
||||
overrides?.provider !== "edgeone"
|
||||
overrides?.provider !== "edgeone" &&
|
||||
!(overrides?.provider === "ollama" && !process.env.OLLAMA_API_KEY)
|
||||
) {
|
||||
throw new Error(
|
||||
`API key is required when using a custom base URL. ` +
|
||||
@@ -836,16 +878,27 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
|
||||
break
|
||||
}
|
||||
|
||||
case "ollama":
|
||||
if (process.env.OLLAMA_BASE_URL) {
|
||||
case "ollama": {
|
||||
const baseURL = overrides?.baseUrl || process.env.OLLAMA_BASE_URL
|
||||
// SECURITY: When client provides a custom base URL, only use
|
||||
// client-provided API key. Never fall back to server OLLAMA_API_KEY
|
||||
// to prevent leaking server credentials to user-controlled endpoints.
|
||||
const apiKey = overrides?.baseUrl
|
||||
? overrides?.apiKey || undefined
|
||||
: resolveApiKey(overrides, "OLLAMA_API_KEY")
|
||||
if (baseURL || apiKey) {
|
||||
const customOllama = createOllama({
|
||||
baseURL: process.env.OLLAMA_BASE_URL,
|
||||
...(baseURL && { baseURL }),
|
||||
...(apiKey && {
|
||||
headers: { Authorization: `Bearer ${apiKey}` },
|
||||
}),
|
||||
})
|
||||
model = customOllama(modelId)
|
||||
} else {
|
||||
model = ollama(modelId)
|
||||
}
|
||||
break
|
||||
}
|
||||
|
||||
case "openrouter": {
|
||||
const apiKey = resolveApiKey(overrides, "OPENROUTER_API_KEY")
|
||||
@@ -1159,8 +1212,15 @@ export function supportsImageInput(modelId: string): boolean {
|
||||
lowerModelId.includes("vision") || lowerModelId.includes("vl")
|
||||
|
||||
// Models that DON'T support image/vision input (unless vision variant)
|
||||
// Kimi K2 models don't support images
|
||||
if (lowerModelId.includes("kimi") && !hasVisionIndicator) {
|
||||
// Kimi K2 doesn't support images, but K2.5 does
|
||||
// Only block kimi-k2 specifically, not other Kimi models
|
||||
if (
|
||||
(lowerModelId.includes("kimi-k2") ||
|
||||
lowerModelId.includes("kimi_k2")) &&
|
||||
!hasVisionIndicator &&
|
||||
!lowerModelId.includes("2.5") &&
|
||||
!lowerModelId.includes("k2.5")
|
||||
) {
|
||||
return false
|
||||
}
|
||||
|
||||
@@ -1170,7 +1230,12 @@ export function supportsImageInput(modelId: string): boolean {
|
||||
}
|
||||
|
||||
// Qwen text models (not vision variants like qwen-vl)
|
||||
if (lowerModelId.includes("qwen") && !hasVisionIndicator) {
|
||||
// qwen3.5-plus is a vision model
|
||||
if (
|
||||
lowerModelId.includes("qwen") &&
|
||||
!hasVisionIndicator &&
|
||||
!lowerModelId.includes("qwen3.5-plus")
|
||||
) {
|
||||
return false
|
||||
}
|
||||
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
export const i18n = {
|
||||
defaultLocale: "en",
|
||||
locales: ["en", "zh", "ja"],
|
||||
locales: ["en", "zh", "ja", "zh-Hant"],
|
||||
} as const
|
||||
|
||||
export type Locale = (typeof i18n)["locales"][number]
|
||||
|
||||
@@ -6,6 +6,8 @@ const dictionaries = {
|
||||
en: () => import("./dictionaries/en.json").then((m) => m.default),
|
||||
zh: () => import("./dictionaries/zh.json").then((m) => m.default),
|
||||
ja: () => import("./dictionaries/ja.json").then((m) => m.default),
|
||||
"zh-Hant": () =>
|
||||
import("./dictionaries/zh-Hant.json").then((m) => m.default),
|
||||
}
|
||||
|
||||
export type Dictionary = Awaited<ReturnType<(typeof dictionaries)["en"]>>
|
||||
|
||||
@@ -34,7 +34,7 @@
|
||||
"chat": {
|
||||
"placeholder": "Describe your diagram or upload a file...",
|
||||
"send": "Send",
|
||||
"sending": "Sending...",
|
||||
"stopGeneration": "Stop generation",
|
||||
"sendMessage": "Send message",
|
||||
"clearConversation": "Clear conversation",
|
||||
"diagramHistory": "Diagram history",
|
||||
@@ -77,6 +77,8 @@
|
||||
"settings": {
|
||||
"title": "Settings",
|
||||
"description": "Configure your application settings.",
|
||||
"apiKeysModels": "API Keys & Models",
|
||||
"apiKeysModelsDescription": "Configure AI providers and API keys.",
|
||||
"accessCode": "Access Code",
|
||||
"accessCodePlaceholder": "Enter access code",
|
||||
"accessCodeDescription": "Required to use this application.",
|
||||
|
||||
@@ -34,7 +34,7 @@
|
||||
"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...",
|
||||
"send": "送信",
|
||||
"sending": "送信中...",
|
||||
"stopGeneration": "生成を停止",
|
||||
"sendMessage": "メッセージを送信",
|
||||
"clearConversation": "会話をクリア",
|
||||
"diagramHistory": "ダイアグラム履歴",
|
||||
@@ -77,6 +77,8 @@
|
||||
"settings": {
|
||||
"title": "設定",
|
||||
"description": "アプリケーション設定を構成します。",
|
||||
"apiKeysModels": "API キーとモデル",
|
||||
"apiKeysModelsDescription": "AI プロバイダーと API キーを設定します。",
|
||||
"accessCode": "アクセスコード",
|
||||
"accessCodePlaceholder": "アクセスコードを入力",
|
||||
"accessCodeDescription": "このアプリケーションを使用するために必要です。",
|
||||
|
||||
342
lib/i18n/dictionaries/zh-Hant.json
Normal file
342
lib/i18n/dictionaries/zh-Hant.json
Normal file
@@ -0,0 +1,342 @@
|
||||
{
|
||||
"common": {
|
||||
"save": "儲存",
|
||||
"cancel": "取消",
|
||||
"close": "關閉",
|
||||
"confirm": "確認",
|
||||
"clear": "清除",
|
||||
"edit": "編輯",
|
||||
"delete": "刪除",
|
||||
"loading": "載入中...",
|
||||
"new": "新建"
|
||||
},
|
||||
"nav": {
|
||||
"about": "關於",
|
||||
"editor": "編輯器",
|
||||
"newChat": "開始新對話",
|
||||
"github": "GitHub",
|
||||
"settings": "設定",
|
||||
"hidePanel": "隱藏聊天面板 (Ctrl+B)",
|
||||
"showPanel": "顯示聊天面板 (Ctrl+B)",
|
||||
"aiChat": "AI 聊天"
|
||||
},
|
||||
"providers": {
|
||||
"useServerDefault": "使用伺服器預設值",
|
||||
"openai": "OpenAI",
|
||||
"anthropic": "Anthropic",
|
||||
"google": "Google",
|
||||
"azure": "Azure OpenAI",
|
||||
"openrouter": "OpenRouter",
|
||||
"deepseek": "DeepSeek",
|
||||
"siliconflow": "SiliconFlow",
|
||||
"modelscope": "ModelScope"
|
||||
},
|
||||
"chat": {
|
||||
"placeholder": "描述您的圖表或上傳檔案...",
|
||||
"send": "傳送",
|
||||
"stopGeneration": "停止產生",
|
||||
"sendMessage": "傳送訊息",
|
||||
"clearConversation": "清除對話",
|
||||
"diagramHistory": "圖表歷史",
|
||||
"saveDiagram": "儲存圖表",
|
||||
"uploadFile": "上傳檔案(圖片、PDF、文字)",
|
||||
"minimalStyle": "簡約",
|
||||
"styledMode": "精緻",
|
||||
"minimalTooltip": "使用簡約模式以加快產生速度(無顏色)",
|
||||
"regenerate": "重新產生回應",
|
||||
"copyResponse": "複製回應",
|
||||
"copied": "已複製!",
|
||||
"failedToCopy": "複製失敗",
|
||||
"failedToCopyDetail": "複製訊息失敗。請手動複製或檢查剪貼簿權限。",
|
||||
"goodResponse": "有幫助",
|
||||
"badResponse": "無幫助",
|
||||
"clickToEdit": "點擊編輯",
|
||||
"editMessage": "編輯訊息",
|
||||
"saveAndSubmit": "儲存並提交",
|
||||
"ExtractURL": "從 URL 擷取"
|
||||
},
|
||||
"examples": {
|
||||
"title": "用 AI 建立圖表",
|
||||
"subtitle": "描述您想要建立的內容或上傳圖片進行複製",
|
||||
"quickExamples": "快速範例",
|
||||
"paperToDiagram": "文件轉圖表",
|
||||
"paperDescription": "上傳 .pdf, .txt, .md, .json, .csv, .py, .js, .ts 等檔案",
|
||||
"animatedDiagram": "動畫圖表",
|
||||
"animatedDescription": "繪製帶有動畫連接器的 Transformer 架構",
|
||||
"awsArchitecture": "AWS 架構",
|
||||
"awsDescription": "使用 AWS 圖示建立雲端架構圖",
|
||||
"replicateFlowchart": "複製流程圖",
|
||||
"replicateDescription": "上傳並複製現有流程圖",
|
||||
"creativeDrawing": "創意繪圖",
|
||||
"creativeDescription": "繪製有趣且富有創意的內容",
|
||||
"cachedNote": "範例已快取,可即時回應",
|
||||
"mcpServer": "MCP 伺服器",
|
||||
"mcpDescription": "在 Claude Desktop、VS Code 和 Cursor 中使用",
|
||||
"preview": "預覽"
|
||||
},
|
||||
"settings": {
|
||||
"title": "設定",
|
||||
"description": "配置您的應用程式設定。",
|
||||
"apiKeysModels": "API 金鑰和模型",
|
||||
"apiKeysModelsDescription": "配置 AI 提供商和 API 金鑰。",
|
||||
"accessCode": "存取碼",
|
||||
"accessCodePlaceholder": "輸入存取碼",
|
||||
"accessCodeDescription": "使用此應用程式需要存取碼。",
|
||||
"aiProvider": "AI 提供商設定",
|
||||
"aiProviderDescription": "使用您自己的 API 金鑰來繞過使用限制。您的金鑰僅儲存在瀏覽器本機,不會儲存在伺服器上。",
|
||||
"provider": "提供商",
|
||||
"modelId": "模型 ID",
|
||||
"apiKey": "API 金鑰",
|
||||
"apiKeyPlaceholder": "您的 API 金鑰",
|
||||
"baseUrl": "基礎 URL(可選)",
|
||||
"customEndpoint": "自訂端點 URL",
|
||||
"overrides": "覆寫",
|
||||
"clearSettings": "清除設定",
|
||||
"useServerDefault": "使用伺服器預設值",
|
||||
"language": "語言",
|
||||
"languageDescription": "選擇介面語言。",
|
||||
"theme": "主題",
|
||||
"themeDescription": "介面和 DrawIO 畫布的深色/淺色模式。",
|
||||
"drawioStyle": "DrawIO 樣式",
|
||||
"drawioStyleDescription": "畫布樣式:",
|
||||
"switchTo": "切換到",
|
||||
"minimal": "簡約",
|
||||
"sketch": "草圖",
|
||||
"diagramStyle": "圖表樣式",
|
||||
"diagramStyleDescription": "切換簡約與精緻圖表輸出模式。",
|
||||
"sendShortcut": "傳送快捷鍵",
|
||||
"sendShortcutDescription": "選擇傳送訊息的方式。",
|
||||
"enterToSend": "Enter 傳送",
|
||||
"ctrlEnterToSend": "Cmd/Ctrl+Enter 傳送",
|
||||
"diagramActions": "圖表操作",
|
||||
"diagramActionsDescription": "管理圖表歷史紀錄和匯出",
|
||||
"history": "歷史紀錄",
|
||||
"download": "下載",
|
||||
"proxy": "代理設定",
|
||||
"proxyDescription": "配置 API 請求的 HTTP/HTTPS 代理(僅桌面版)",
|
||||
"httpProxy": "HTTP 代理",
|
||||
"httpsProxy": "HTTPS 代理",
|
||||
"applyProxy": "套用",
|
||||
"proxyApplied": "代理設定已套用",
|
||||
"diagramValidation": "圖表驗證(實驗性)",
|
||||
"diagramValidationDescription": "使用視覺語言模型驗證產生的圖表。需要支援視覺的模型,如 GPT-5.2 或 Sonnet-4.5。",
|
||||
"enabled": "已啟用",
|
||||
"disabled": "已停用"
|
||||
},
|
||||
"save": {
|
||||
"title": "儲存圖表",
|
||||
"description": "選擇格式和檔案名稱以儲存您的圖表。",
|
||||
"format": "格式",
|
||||
"filename": "檔案名稱",
|
||||
"filenamePlaceholder": "輸入檔案名稱",
|
||||
"formats": {
|
||||
"drawio": "Draw.io XML",
|
||||
"png": "PNG 圖片",
|
||||
"svg": "SVG 圖片"
|
||||
},
|
||||
"savedSuccessfully": "儲存成功!"
|
||||
},
|
||||
"history": {
|
||||
"title": "圖表歷史",
|
||||
"description": "在 AI 修改之前儲存的每個圖表。\n點擊圖表以還原它",
|
||||
"noHistory": "尚無歷史紀錄。傳送訊息以建立圖表歷史。",
|
||||
"version": "版本",
|
||||
"restoreTo": "還原到版本 {version}?"
|
||||
},
|
||||
"dialogs": {
|
||||
"clearTitle": "清除所有內容?",
|
||||
"clearDescription": "這將清除目前對話並重設圖表。此操作無法復原。",
|
||||
"clearEverything": "清除所有內容",
|
||||
"clearSuccess": "已開始新對話"
|
||||
},
|
||||
"errors": {
|
||||
"maxFiles": "檔案太多。最多允許 {max} 個。",
|
||||
"onlyMoreAllowed": "只能再新增 {slots} 個檔案",
|
||||
"fileExceeds": "「{name}」大小為 {size}(超過 {max}MB)",
|
||||
"unsupportedType": "「{name}」不是支援的檔案類型",
|
||||
"filesRejected": "{count} 個檔案被拒絕:",
|
||||
"andMore": "...還有 {count} 個",
|
||||
"invalidAccessCode": "無效或缺少存取碼。請在設定中配置。",
|
||||
"networkError": "網路錯誤。請檢查您的連線。",
|
||||
"retryLimit": "已達自動重試限制({max})。請手動重試。",
|
||||
"continuationRetryLimit": "已達繼續重試限制({max})。圖表可能過於複雜。",
|
||||
"validationFailed": "圖表驗證失敗。請嘗試重新產生。",
|
||||
"malformedXml": "AI 產生的圖表 XML 無效。請嘗試重新產生。",
|
||||
"failedToProcess": "無法處理圖表。請嘗試重新產生。",
|
||||
"sessionCorrupted": "工作階段資料已損壞。重新開始。",
|
||||
"failedToSave": "無法儲存訊息到 localStorage",
|
||||
"failedToRestore": "無法從 localStorage 還原",
|
||||
"failedToPersist": "卸載前無法持久化狀態",
|
||||
"failedToExport": "取得圖表資料時出錯",
|
||||
"failedToLoadExample": "載入範例圖片時出錯",
|
||||
"failedToRecordFeedback": "記錄您的回饋失敗。請重試。",
|
||||
"storageUpdateFailed": "聊天已清除,但無法更新瀏覽器儲存空間"
|
||||
},
|
||||
"quota": {
|
||||
"dailyLimit": "已達每日配額",
|
||||
"tokenLimit": "已達每日令牌限制",
|
||||
"tpmLimit": "速率限制",
|
||||
"tpmMessage": "請求過多。請稍等片刻。",
|
||||
"tpmMessageDetailed": "達到速率限制({limit} 令牌/分鐘)。請等待 {seconds} 秒後再傳送請求。",
|
||||
"messageApi": "看來您今天的體驗次數已達上限。非常高興您玩得開心,雖然本專案由字節跳動豆包慷慨贊助,但為了確保大家都能公平使用,我們不得不對使用量做一點小小的限制。",
|
||||
"messageToken": "看來您今天的 Token 用量已達上限。非常高興您玩得開心,雖然本專案由字節跳動豆包慷慨贊助,但為了確保大家都能公平使用,我們不得不對使用量做一點小小的限制。",
|
||||
"tip": "<strong>提示:</strong>您可以使用自己的 API 金鑰(點擊設定圖示)或自行託管專案來繞過這些限制。",
|
||||
"reset": "您的限制將在明天重設。感謝您的理解。",
|
||||
"doubaoSponsorship": "<a href=\"{link}\" target=\"_blank\" rel=\"noopener noreferrer\" class=\"underline hover:text-foreground\">點此註冊</a>可獲得每個模型 50 萬免費 Token(包括豆包、DeepSeek 和 Kimi),然後在模型設定中配置您的 API Key。",
|
||||
"configModel": "使用您的金鑰",
|
||||
"selfHost": "自行託管",
|
||||
"sponsor": "贊助",
|
||||
"learnMore": "了解更多 →",
|
||||
"usedOf": "{used}/{limit}"
|
||||
},
|
||||
"tools": {
|
||||
"generateDiagram": "產生圖表",
|
||||
"editDiagram": "編輯圖表",
|
||||
"appendDiagram": "繼續圖表",
|
||||
"complete": "完成",
|
||||
"error": "錯誤",
|
||||
"truncated": "已截斷"
|
||||
},
|
||||
"file": {
|
||||
"reading": "讀取中...",
|
||||
"chars": "字元",
|
||||
"removeFile": "移除檔案"
|
||||
},
|
||||
"url": {
|
||||
"title": "從 URL 擷取內容",
|
||||
"description": "貼上 URL 以擷取和分析其內容",
|
||||
"Extracting": "擷取中...",
|
||||
"extract": "擷取",
|
||||
"Cancel": "取消",
|
||||
"enterUrl": "請輸入 URL",
|
||||
"invalidFormat": "URL 格式無效"
|
||||
},
|
||||
"reasoning": {
|
||||
"thinking": "思考中...",
|
||||
"thoughtFor": "思考了 {duration} 秒",
|
||||
"thoughtBrief": "思考了幾秒鐘"
|
||||
},
|
||||
"dev": {
|
||||
"title": "開發:XML 串流模擬器",
|
||||
"preset": "預設:",
|
||||
"selectPreset": "選擇預設...",
|
||||
"clear": "清除",
|
||||
"placeholder": "在此貼上 mxCell XML 或選擇預設...",
|
||||
"interval": "間隔:",
|
||||
"chars": "字元:",
|
||||
"streaming": "串流傳輸中...",
|
||||
"simulate": "模擬",
|
||||
"stop": "停止",
|
||||
"testQuotaToast": "測試配額提示",
|
||||
"simulatingMessage": "[開發] 模擬 XML 串流傳輸",
|
||||
"successMessage": "成功顯示圖表。"
|
||||
},
|
||||
"about": {
|
||||
"modelChange": "模型變更與用量限制",
|
||||
"walletCrying": "(別名:我的錢包頂不住了)",
|
||||
"seekingSponsorship": "尋求贊助(求大佬撈一把)",
|
||||
"contactMe": "聯絡我",
|
||||
"usageNotice": "由於使用量過高,我已將模型從 Claude 更換為 minimax-m2,並設定了一些用量限制。詳情請查看關於頁面。"
|
||||
},
|
||||
"sessionHistory": {
|
||||
"tooltip": "聊天歷史",
|
||||
"newChat": "新對話",
|
||||
"empty": "暫無聊天紀錄",
|
||||
"emptyHint": "開始對話吧",
|
||||
"today": "今天",
|
||||
"yesterday": "昨天",
|
||||
"thisWeek": "本週",
|
||||
"earlier": "更早",
|
||||
"deleteTitle": "刪除此對話?",
|
||||
"deleteDescription": "這將永久刪除此聊天工作階段及其圖表。此操作無法復原。",
|
||||
"recentChats": "最近對話",
|
||||
"justNow": "剛剛",
|
||||
"searchPlaceholder": "搜尋對話...",
|
||||
"noResults": "未找到對話"
|
||||
},
|
||||
"validation": {
|
||||
"title": "驗證圖表",
|
||||
"capturing": "截圖中",
|
||||
"validating": "驗證中",
|
||||
"validatingWithAttempt": "驗證中 ({attempt}/{max})",
|
||||
"valid": "通過",
|
||||
"validWithWarnings": "通過(有警告)",
|
||||
"issuesFound": "發現問題",
|
||||
"error": "錯誤",
|
||||
"skipped": "已跳過",
|
||||
"capturedScreenshot": "截圖預覽:",
|
||||
"issuesFoundLabel": "發現的問題:",
|
||||
"suggestions": "建議:",
|
||||
"passedValidation": "圖表通過視覺驗證 - 未發現問題。",
|
||||
"improvementRequested": "改進請求已傳送 - 請查看下方新圖表",
|
||||
"improveWithSuggestions": "根據建議改進",
|
||||
"regenerateWithFeedback": "使用驗證回饋重新產生圖表"
|
||||
},
|
||||
"modelConfig": {
|
||||
"title": "AI 模型配置",
|
||||
"description": "配置多個 AI 提供商和模型",
|
||||
"configure": "配置",
|
||||
"addProvider": "新增提供商",
|
||||
"addModel": "新增模型",
|
||||
"modelId": "模型 ID",
|
||||
"modelLabel": "顯示名稱",
|
||||
"streaming": "啟用串流輸出",
|
||||
"deleteProvider": "刪除提供商",
|
||||
"deleteModel": "刪除模型",
|
||||
"noModels": "尚未配置模型。新增模型以開始使用。",
|
||||
"selectProvider": "選擇一個提供商或新增",
|
||||
"configureMultiple": "配置多個 AI 提供商並輕鬆切換",
|
||||
"apiKeyStored": "API 金鑰儲存在您的瀏覽器本機",
|
||||
"test": "測試",
|
||||
"validationError": "驗證失敗",
|
||||
"addModelFirst": "請先新增至少一個模型以進行驗證",
|
||||
"providers": "提供商",
|
||||
"addProviderHint": "新增提供商即可開始使用",
|
||||
"verified": "已驗證",
|
||||
"configuration": "配置",
|
||||
"displayName": "顯示名稱",
|
||||
"awsAccessKeyId": "AWS 存取金鑰 ID",
|
||||
"awsSecretAccessKey": "AWS Secret Access Key",
|
||||
"awsRegion": "AWS 區域",
|
||||
"selectRegion": "選擇區域",
|
||||
"apiKey": "API 金鑰",
|
||||
"enterApiKey": "輸入您的 API 金鑰",
|
||||
"enterSecretKey": "輸入您的 Secret Key",
|
||||
"baseUrl": "基礎 URL",
|
||||
"optional": "(可選)",
|
||||
"baseUrlWithExample": "基礎 URL(可選,例如 {example})",
|
||||
"customEndpoint": "自訂端點 URL",
|
||||
"models": "模型",
|
||||
"customModelId": "自訂模型 ID...",
|
||||
"allAdded": "已全部新增",
|
||||
"suggested": "推薦",
|
||||
"noModelsConfigured": "尚未配置模型",
|
||||
"modelIdEmpty": "模型 ID 不能為空",
|
||||
"modelIdExists": "此模型 ID 已存在",
|
||||
"configureProviders": "配置 AI 提供商",
|
||||
"selectProviderHint": "從列表中選擇提供商或新增以配置 API 金鑰和模型",
|
||||
"deleteConfirmDesc": "確定要刪除 {name} 嗎?這將移除所有配置的模型且無法復原。",
|
||||
"typeToConfirm": "輸入「{name}」以確認",
|
||||
"typeProviderName": "輸入提供商名稱...",
|
||||
"modelsConfiguredCount": "已配置 {count} 個模型",
|
||||
"validationFailedCount": "{count} 個模型驗證失敗",
|
||||
"cancel": "取消",
|
||||
"delete": "刪除",
|
||||
"clickToChange": "(點擊變更)",
|
||||
"usingServerDefault": "使用伺服器預設模型",
|
||||
"selectModel": "選擇模型",
|
||||
"searchModels": "搜尋模型...",
|
||||
"noVerifiedModels": "沒有已驗證的模型。請先測試您的模型。",
|
||||
"noModelsFound": "未找到模型。",
|
||||
"default": "預設",
|
||||
"serverDefault": "伺服器預設",
|
||||
"serverModels": "伺服器模型",
|
||||
"userModels": "使用者模型",
|
||||
"configureModels": "配置模型...",
|
||||
"onlyVerifiedShown": "僅顯示已驗證的模型",
|
||||
"showUnvalidatedModels": "顯示未驗證的模型",
|
||||
"allModelsShown": "顯示所有模型(包括未驗證的)",
|
||||
"unvalidatedModelWarning": "此模型尚未驗證",
|
||||
"serverDefaultModel": "伺服器預設模型"
|
||||
}
|
||||
}
|
||||
@@ -34,7 +34,7 @@
|
||||
"chat": {
|
||||
"placeholder": "描述您的图表或上传文件...",
|
||||
"send": "发送",
|
||||
"sending": "发送中...",
|
||||
"stopGeneration": "停止生成",
|
||||
"sendMessage": "发送消息",
|
||||
"clearConversation": "清除对话",
|
||||
"diagramHistory": "图表历史",
|
||||
@@ -77,6 +77,8 @@
|
||||
"settings": {
|
||||
"title": "设置",
|
||||
"description": "配置您的应用程序设置。",
|
||||
"apiKeysModels": "API 密钥和模型",
|
||||
"apiKeysModelsDescription": "配置 AI 提供商和 API 密钥。",
|
||||
"accessCode": "访问码",
|
||||
"accessCodePlaceholder": "输入访问码",
|
||||
"accessCodeDescription": "使用此应用程序需要访问码。",
|
||||
|
||||
@@ -14,9 +14,12 @@ export const ServerProviderSchema = z.object({
|
||||
name: z.string().min(1),
|
||||
provider: ProviderNameSchema,
|
||||
models: z.array(z.string().min(1)),
|
||||
// Optional: custom environment variable name for API key
|
||||
// e.g., "OPENAI_API_KEY_TEAM_A" instead of default "OPENAI_API_KEY"
|
||||
apiKeyEnv: z.string().min(1).optional(),
|
||||
// Optional: custom environment variable name(s) for API key
|
||||
// Can be a single string or array of strings for load balancing
|
||||
// e.g., "OPENAI_API_KEY_TEAM_A" or ["OPENAI_KEY_1", "OPENAI_KEY_2"]
|
||||
apiKeyEnv: z
|
||||
.union([z.string().min(1), z.array(z.string().min(1)).min(1)])
|
||||
.optional(),
|
||||
// Optional: custom environment variable name for base URL
|
||||
baseUrlEnv: z.string().min(1).optional(),
|
||||
// Optional: mark the first model in this provider as the default
|
||||
@@ -36,8 +39,9 @@ export interface FlattenedServerModel {
|
||||
provider: ProviderName
|
||||
providerLabel: string
|
||||
isDefault: boolean
|
||||
// Custom env var names for credentials (optional)
|
||||
apiKeyEnv?: string
|
||||
// Custom env var name(s) for API key (optional)
|
||||
// Can be a single string or array of strings for load balancing
|
||||
apiKeyEnv?: string | string[]
|
||||
baseUrlEnv?: string
|
||||
}
|
||||
|
||||
|
||||
@@ -11,6 +11,7 @@ export const DEFAULT_SYSTEM_PROMPT = `
|
||||
You are an expert diagram creation assistant specializing in draw.io XML generation.
|
||||
Your primary function is chat with user and crafting clear, well-organized visual diagrams through precise XML specifications.
|
||||
You can see images that users upload, and you can read the text content extracted from PDF documents they upload.
|
||||
ALWAYS respond in the same language as the user's last message.
|
||||
|
||||
When you are asked to create a diagram, briefly describe your plan about the layout and structure to avoid object overlapping or edge cross the objects. (2-3 sentences max), then use display_diagram tool to generate the XML.
|
||||
After generating or editing a diagram, you don't need to say anything. The user can see the diagram - no need to describe it.
|
||||
@@ -50,9 +51,9 @@ parameters: {
|
||||
}
|
||||
---Tool4---
|
||||
tool name: get_shape_library
|
||||
description: Get shape/icon library documentation. Use this to discover available icon shapes (AWS, Azure, GCP, Kubernetes, etc.) before creating diagrams with cloud/tech icons.
|
||||
description: Get shape/icon library documentation. Use this to discover available icon shapes (AWS, Azure, GCP, Kubernetes, Material Design, etc.) before creating diagrams with special icons. ALWAYS call this before using any icon library — never guess the syntax.
|
||||
parameters: {
|
||||
library: string // Library name: aws4, azure2, gcp2, kubernetes, cisco19, flowchart, bpmn, etc.
|
||||
library: string // Library name: aws4, azure2, gcp2, kubernetes, cisco19, flowchart, bpmn, material_design, etc.
|
||||
}
|
||||
---End of tools---
|
||||
|
||||
@@ -60,7 +61,7 @@ IMPORTANT: Choose the right tool:
|
||||
- Use display_diagram for: Creating new diagrams, major restructuring, or when the current diagram XML is empty
|
||||
- Use edit_diagram for: Small modifications, adding/removing elements, changing text/colors, repositioning items
|
||||
- Use append_diagram for: ONLY when display_diagram was truncated due to output length - continue generating from where you stopped
|
||||
- Use get_shape_library for: Discovering available icons/shapes when creating cloud architecture or technical diagrams (call BEFORE display_diagram)
|
||||
- Use get_shape_library for: Discovering available icons/shapes when creating diagrams with any icon library (cloud, material design, etc.) — call BEFORE display_diagram
|
||||
|
||||
Core capabilities:
|
||||
- Generate valid, well-formed XML strings for draw.io diagrams
|
||||
@@ -91,7 +92,7 @@ Note that:
|
||||
- When artistic drawings are requested, creatively compose them using standard diagram shapes and connectors while maintaining visual clarity.
|
||||
- Return XML only via tool calls, never in text responses.
|
||||
- If user asks you to replicate a diagram based on an image, remember to match the diagram style and layout as closely as possible. Especially, pay attention to the lines and shapes, for example, if the lines are straight or curved, and if the shapes are rounded or square.
|
||||
- For cloud/tech diagrams (AWS, Azure, GCP, K8s), call get_shape_library first to discover available icon shapes and their syntax.
|
||||
- For cloud/tech diagrams (AWS, Azure, GCP, K8s) or when using icon libraries (material_design, webicons, etc.), call get_shape_library first to discover available icon shapes and their correct syntax. NEVER guess icon style syntax — always look it up first.
|
||||
- NEVER include XML comments (<!-- ... -->) in your generated XML. Draw.io strips comments, which breaks edit_diagram patterns.
|
||||
|
||||
When using edit_diagram tool:
|
||||
|
||||
@@ -73,8 +73,9 @@ export interface FlattenedModel {
|
||||
source?: "user" | "server"
|
||||
// Whether this model is the server default (matches AI_MODEL env var)
|
||||
isDefault?: boolean
|
||||
// Custom env var names for server models (allows multiple API keys per provider)
|
||||
apiKeyEnv?: string
|
||||
// Custom env var name(s) for server models
|
||||
// Can be a single string or array of strings for load balancing
|
||||
apiKeyEnv?: string | string[]
|
||||
baseUrlEnv?: string
|
||||
}
|
||||
|
||||
@@ -103,7 +104,7 @@ export const PROVIDER_INFO: Record<
|
||||
bedrock: { label: "Amazon Bedrock" },
|
||||
ollama: {
|
||||
label: "Ollama",
|
||||
defaultBaseUrl: "http://localhost:11434",
|
||||
defaultBaseUrl: "https://ollama.com/api",
|
||||
},
|
||||
openrouter: {
|
||||
label: "OpenRouter",
|
||||
@@ -263,6 +264,7 @@ export const SUGGESTED_MODELS: Partial<Record<ProviderName, string[]>> = {
|
||||
"Qwen/Qwen2.5-Coder-32B-Instruct",
|
||||
"Qwen/Qwen2.5-7B-Instruct",
|
||||
"Qwen/Qwen2-VL-72B-Instruct",
|
||||
"qwen3.5-plus",
|
||||
],
|
||||
sglang: [
|
||||
// SGLang is OpenAI-compatible, models depend on deployment
|
||||
@@ -292,6 +294,7 @@ export const SUGGESTED_MODELS: Partial<Record<ProviderName, string[]>> = {
|
||||
"Qwen/Qwen3-235B-A22B-Instruct-2507",
|
||||
"Qwen/Qwen3-VL-235B-A22B-Instruct",
|
||||
"Qwen/Qwen3-32B",
|
||||
"qwen3.5-plus",
|
||||
// DeepSeek
|
||||
"deepseek-ai/DeepSeek-R1-0528",
|
||||
"deepseek-ai/DeepSeek-V3.2",
|
||||
|
||||
@@ -1,4 +1,5 @@
|
||||
import { z } from "zod"
|
||||
import { getApiEndpoint } from "@/lib/base-path"
|
||||
|
||||
export interface UrlData {
|
||||
url: string
|
||||
@@ -15,7 +16,7 @@ const UrlResponseSchema = z.object({
|
||||
})
|
||||
|
||||
export async function extractUrlContent(url: string): Promise<UrlData> {
|
||||
const response = await fetch("/api/parse-url", {
|
||||
const response = await fetch(getApiEndpoint("/api/parse-url"), {
|
||||
method: "POST",
|
||||
headers: { "Content-Type": "application/json" },
|
||||
body: JSON.stringify({ url }),
|
||||
|
||||
5174
package-lock.json
generated
5174
package-lock.json
generated
File diff suppressed because it is too large
Load Diff
10
package.json
10
package.json
@@ -43,15 +43,15 @@
|
||||
"@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",
|
||||
"@formatjs/intl-localematcher": "^0.8.0",
|
||||
"@langfuse/client": "^4.4.9",
|
||||
"@langfuse/otel": "^4.4.4",
|
||||
"@langfuse/tracing": "^4.4.9",
|
||||
"@next/third-parties": "^16.0.6",
|
||||
"@opennextjs/cloudflare": "1.14.8",
|
||||
"@opennextjs/cloudflare": "1.16.1",
|
||||
"@openrouter/ai-sdk-provider": "^1.5.4",
|
||||
"@opentelemetry/api": "^1.9.0",
|
||||
"@opentelemetry/exporter-trace-otlp-http": "^0.209.0",
|
||||
"@opentelemetry/exporter-trace-otlp-http": "^0.211.0",
|
||||
"@opentelemetry/sdk-trace-node": "^2.2.0",
|
||||
"@radix-ui/react-alert-dialog": "^1.1.15",
|
||||
"@radix-ui/react-collapsible": "^1.1.12",
|
||||
@@ -72,7 +72,7 @@
|
||||
"cmdk": "^1.1.1",
|
||||
"idb": "^8.0.3",
|
||||
"jsonrepair": "^3.13.1",
|
||||
"lucide-react": "^0.562.0",
|
||||
"lucide-react": "^0.563.0",
|
||||
"motion": "^12.23.25",
|
||||
"nanoid": "^5.0.0",
|
||||
"negotiator": "^1.0.0",
|
||||
@@ -129,7 +129,7 @@
|
||||
"electron-builder": "^26.0.12",
|
||||
"esbuild": "^0.27.2",
|
||||
"eslint": "9.39.2",
|
||||
"eslint-config-next": "16.1.1",
|
||||
"eslint-config-next": "16.1.6",
|
||||
"husky": "^9.1.7",
|
||||
"jsdom": "^27.4.0",
|
||||
"lint-staged": "^16.2.7",
|
||||
|
||||
69
packages/mcp-server/package-lock.json
generated
69
packages/mcp-server/package-lock.json
generated
@@ -1,12 +1,12 @@
|
||||
{
|
||||
"name": "@next-ai-drawio/mcp-server",
|
||||
"version": "0.1.12",
|
||||
"version": "0.1.16",
|
||||
"lockfileVersion": 3,
|
||||
"requires": true,
|
||||
"packages": {
|
||||
"": {
|
||||
"name": "@next-ai-drawio/mcp-server",
|
||||
"version": "0.1.12",
|
||||
"version": "0.1.16",
|
||||
"license": "Apache-2.0",
|
||||
"dependencies": {
|
||||
"@modelcontextprotocol/sdk": "^1.0.4",
|
||||
@@ -469,9 +469,9 @@
|
||||
}
|
||||
},
|
||||
"node_modules/@hono/node-server": {
|
||||
"version": "1.19.7",
|
||||
"resolved": "https://registry.npmjs.org/@hono/node-server/-/node-server-1.19.7.tgz",
|
||||
"integrity": "sha512-vUcD0uauS7EU2caukW8z5lJKtoGMokxNbJtBiwHgpqxEXokaHCBkQUmCHhjFB1VUTWdqj25QoMkMKzgjq+uhrw==",
|
||||
"version": "1.19.9",
|
||||
"resolved": "https://registry.npmjs.org/@hono/node-server/-/node-server-1.19.9.tgz",
|
||||
"integrity": "sha512-vHL6w3ecZsky+8P5MD+eFfaGTyCeOHUIFYMGpQGbrBTSmNNoxv0if69rEZ5giu36weC5saFuznL411gRX7bJDw==",
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">=18.14.1"
|
||||
@@ -481,12 +481,12 @@
|
||||
}
|
||||
},
|
||||
"node_modules/@modelcontextprotocol/sdk": {
|
||||
"version": "1.25.2",
|
||||
"resolved": "https://registry.npmjs.org/@modelcontextprotocol/sdk/-/sdk-1.25.2.tgz",
|
||||
"integrity": "sha512-LZFeo4F9M5qOhC/Uc1aQSrBHxMrvxett+9KLHt7OhcExtoiRN9DKgbZffMP/nxjutWDQpfMDfP3nkHI4X9ijww==",
|
||||
"version": "1.26.0",
|
||||
"resolved": "https://registry.npmjs.org/@modelcontextprotocol/sdk/-/sdk-1.26.0.tgz",
|
||||
"integrity": "sha512-Y5RmPncpiDtTXDbLKswIJzTqu2hyBKxTNsgKqKclDbhIgg1wgtf1fRuvxgTnRfcnxtvvgbIEcqUOzZrJ6iSReg==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"@hono/node-server": "^1.19.7",
|
||||
"@hono/node-server": "^1.19.9",
|
||||
"ajv": "^8.17.1",
|
||||
"ajv-formats": "^3.0.1",
|
||||
"content-type": "^1.0.5",
|
||||
@@ -494,14 +494,15 @@
|
||||
"cross-spawn": "^7.0.5",
|
||||
"eventsource": "^3.0.2",
|
||||
"eventsource-parser": "^3.0.0",
|
||||
"express": "^5.0.1",
|
||||
"express-rate-limit": "^7.5.0",
|
||||
"jose": "^6.1.1",
|
||||
"express": "^5.2.1",
|
||||
"express-rate-limit": "^8.2.1",
|
||||
"hono": "^4.11.4",
|
||||
"jose": "^6.1.3",
|
||||
"json-schema-typed": "^8.0.2",
|
||||
"pkce-challenge": "^5.0.0",
|
||||
"raw-body": "^3.0.0",
|
||||
"zod": "^3.25 || ^4.0",
|
||||
"zod-to-json-schema": "^3.25.0"
|
||||
"zod-to-json-schema": "^3.25.1"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">=18"
|
||||
@@ -520,9 +521,9 @@
|
||||
}
|
||||
},
|
||||
"node_modules/@types/node": {
|
||||
"version": "24.10.6",
|
||||
"resolved": "https://registry.npmjs.org/@types/node/-/node-24.10.6.tgz",
|
||||
"integrity": "sha512-B8h60xgJMR/xmgyX9fncRzEW9gCxoJjdenUhke2v1JGOd/V66KopmWrLPXi5oUI4VuiGK+d+HlXJjDRZMj21EQ==",
|
||||
"version": "24.10.12",
|
||||
"resolved": "https://registry.npmjs.org/@types/node/-/node-24.10.12.tgz",
|
||||
"integrity": "sha512-68e+T28EbdmLSTkPgs3+UacC6rzmqrcWFPQs1C8mwJhI/r5Uxr0yEuQotczNRROd1gq30NGxee+fo0rSIxpyAw==",
|
||||
"dev": true,
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
@@ -1074,10 +1075,13 @@
|
||||
}
|
||||
},
|
||||
"node_modules/express-rate-limit": {
|
||||
"version": "7.5.1",
|
||||
"resolved": "https://registry.npmjs.org/express-rate-limit/-/express-rate-limit-7.5.1.tgz",
|
||||
"integrity": "sha512-7iN8iPMDzOMHPUYllBEsQdWVB6fPDMPqwjBaFrgr4Jgr/+okjvzAy+UHlYYL/Vs0OsOrMkwS6PJDkFlJwoxUnw==",
|
||||
"version": "8.2.1",
|
||||
"resolved": "https://registry.npmjs.org/express-rate-limit/-/express-rate-limit-8.2.1.tgz",
|
||||
"integrity": "sha512-PCZEIEIxqwhzw4KF0n7QF4QqruVTcF73O5kFKUnGOyjbCCgizBBiFaYpd/fnBLUMPw/BWw9OsiN7GgrNYr7j6g==",
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
"ip-address": "10.0.1"
|
||||
},
|
||||
"engines": {
|
||||
"node": ">= 16"
|
||||
},
|
||||
@@ -1260,9 +1264,9 @@
|
||||
}
|
||||
},
|
||||
"node_modules/hono": {
|
||||
"version": "4.11.1",
|
||||
"resolved": "https://registry.npmjs.org/hono/-/hono-4.11.1.tgz",
|
||||
"integrity": "sha512-KsFcH0xxHes0J4zaQgWbYwmz3UPOOskdqZmItstUG93+Wk1ePBLkLGwbP9zlmh1BFUiL8Qp+Xfu9P7feJWpGNg==",
|
||||
"version": "4.11.9",
|
||||
"resolved": "https://registry.npmjs.org/hono/-/hono-4.11.9.tgz",
|
||||
"integrity": "sha512-Eaw2YTGM6WOxA6CXbckaEvslr2Ne4NFsKrvc0v97JD5awbmeBLO5w9Ho9L9kmKonrwF9RJlW6BxT1PVv/agBHQ==",
|
||||
"license": "MIT",
|
||||
"peer": true,
|
||||
"engines": {
|
||||
@@ -1348,6 +1352,15 @@
|
||||
"integrity": "sha512-k/vGaX4/Yla3WzyMCvTQOXYeIHvqOKtnqBduzTHpzpQZzAskKMhZ2K+EnBiSM9zGSoIFeMpXKxa4dYeZIQqewQ==",
|
||||
"license": "ISC"
|
||||
},
|
||||
"node_modules/ip-address": {
|
||||
"version": "10.0.1",
|
||||
"resolved": "https://registry.npmjs.org/ip-address/-/ip-address-10.0.1.tgz",
|
||||
"integrity": "sha512-NWv9YLW4PoW2B7xtzaS3NCot75m6nK7Icdv0o3lfMceJVRfSoQwqD4wEH5rLwoKJwUiZ/rfpiVBhnaF0FK4HoA==",
|
||||
"license": "MIT",
|
||||
"engines": {
|
||||
"node": ">= 12"
|
||||
}
|
||||
},
|
||||
"node_modules/ipaddr.js": {
|
||||
"version": "1.9.1",
|
||||
"resolved": "https://registry.npmjs.org/ipaddr.js/-/ipaddr.js-1.9.1.tgz",
|
||||
@@ -2051,9 +2064,9 @@
|
||||
}
|
||||
},
|
||||
"node_modules/zod": {
|
||||
"version": "4.3.5",
|
||||
"resolved": "https://registry.npmjs.org/zod/-/zod-4.3.5.tgz",
|
||||
"integrity": "sha512-k7Nwx6vuWx1IJ9Bjuf4Zt1PEllcwe7cls3VNzm4CQ1/hgtFUK2bRNG3rvnpPUhFjmqJKAKtjV576KnUkHocg/g==",
|
||||
"version": "4.3.6",
|
||||
"resolved": "https://registry.npmjs.org/zod/-/zod-4.3.6.tgz",
|
||||
"integrity": "sha512-rftlrkhHZOcjDwkGlnUtZZkvaPHCsDATp4pGpuOOMDaTdDDXF91wuVDJoWoPsKX/3YPQ5fHuF3STjcYyKr+Qhg==",
|
||||
"license": "MIT",
|
||||
"peer": true,
|
||||
"funding": {
|
||||
@@ -2061,9 +2074,9 @@
|
||||
}
|
||||
},
|
||||
"node_modules/zod-to-json-schema": {
|
||||
"version": "3.25.0",
|
||||
"resolved": "https://registry.npmjs.org/zod-to-json-schema/-/zod-to-json-schema-3.25.0.tgz",
|
||||
"integrity": "sha512-HvWtU2UG41LALjajJrML6uQejQhNJx+JBO9IflpSja4R03iNWfKXrj6W2h7ljuLyc1nKS+9yDyL/9tD1U/yBnQ==",
|
||||
"version": "3.25.1",
|
||||
"resolved": "https://registry.npmjs.org/zod-to-json-schema/-/zod-to-json-schema-3.25.1.tgz",
|
||||
"integrity": "sha512-pM/SU9d3YAggzi6MtR4h7ruuQlqKtad8e9S0fmxcMi+ueAK5Korys/aWcV9LIIHTVbj01NdzxcnXSN+O74ZIVA==",
|
||||
"license": "ISC",
|
||||
"peerDependencies": {
|
||||
"zod": "^3.25 || ^4"
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@next-ai-drawio/mcp-server",
|
||||
"version": "0.1.15",
|
||||
"version": "0.1.16",
|
||||
"description": "MCP server for Next AI Draw.io - AI-powered diagram generation with real-time browser preview",
|
||||
"type": "module",
|
||||
"main": "dist/index.js",
|
||||
|
||||
@@ -69,6 +69,8 @@ interface SessionState {
|
||||
lastUpdated: Date
|
||||
svg?: string // Cached SVG from last browser save
|
||||
syncRequested?: number // Timestamp when sync requested, cleared when browser responds
|
||||
exportFormat?: "png" | "svg" // Set by MCP tool to request browser export
|
||||
exportData?: string // Base64/SVG data returned by browser after export
|
||||
}
|
||||
|
||||
export const stateStore = new Map<string, SessionState>()
|
||||
@@ -91,6 +93,8 @@ export function setState(sessionId: string, xml: string, svg?: string): number {
|
||||
lastUpdated: new Date(),
|
||||
svg: svg || existing?.svg, // Preserve cached SVG if not provided
|
||||
syncRequested: undefined, // Clear sync request when browser pushes state
|
||||
exportFormat: existing?.exportFormat, // Preserve pending export request
|
||||
exportData: existing?.exportData, // Preserve export result
|
||||
})
|
||||
log.debug(`State updated: session=${sessionId}, version=${newVersion}`)
|
||||
return newVersion
|
||||
@@ -255,6 +259,7 @@ function handleStateApi(
|
||||
xml: state?.xml || null,
|
||||
version: state?.version || 0,
|
||||
syncRequested: !!state?.syncRequested,
|
||||
exportFormat: state?.exportFormat || null,
|
||||
}),
|
||||
)
|
||||
} else if (req.method === "POST") {
|
||||
@@ -264,13 +269,30 @@ function handleStateApi(
|
||||
})
|
||||
req.on("end", () => {
|
||||
try {
|
||||
const { sessionId, xml, svg } = JSON.parse(body)
|
||||
const data = JSON.parse(body)
|
||||
const { sessionId } = data
|
||||
if (!sessionId) {
|
||||
res.writeHead(400, { "Content-Type": "application/json" })
|
||||
res.end(JSON.stringify({ error: "sessionId required" }))
|
||||
return
|
||||
}
|
||||
const version = setState(sessionId, xml, svg)
|
||||
|
||||
// Browser is returning export data (png/svg)
|
||||
if (data.exportData !== undefined) {
|
||||
const state = stateStore.get(sessionId)
|
||||
if (state) {
|
||||
state.exportData = data.exportData
|
||||
state.exportFormat = undefined
|
||||
log.debug(
|
||||
`Export data received for session=${sessionId}`,
|
||||
)
|
||||
}
|
||||
res.writeHead(200, { "Content-Type": "application/json" })
|
||||
res.end(JSON.stringify({ success: true }))
|
||||
return
|
||||
}
|
||||
|
||||
const version = setState(sessionId, data.xml, data.svg)
|
||||
res.writeHead(200, { "Content-Type": "application/json" })
|
||||
res.end(JSON.stringify({ success: true, version }))
|
||||
} catch {
|
||||
@@ -638,6 +660,7 @@ function getHtmlPage(sessionId: string): string {
|
||||
let currentVersion = 0, isReady = false, pendingXml = null, lastXml = null;
|
||||
let pendingSvgExport = null;
|
||||
let pendingAiSvg = false;
|
||||
let pendingMcpExport = null; // 'png' or 'svg' when MCP requested export
|
||||
|
||||
window.addEventListener('message', (e) => {
|
||||
if (e.origin !== '${DRAWIO_ORIGIN}') return;
|
||||
@@ -653,6 +676,23 @@ function getHtmlPage(sessionId: string): string {
|
||||
// Fallback if export doesn't respond
|
||||
setTimeout(() => { if (pendingSvgExport === msg.xml) { pushState(msg.xml, ''); pendingSvgExport = null; } }, 2000);
|
||||
} else if (msg.event === 'export' && msg.data) {
|
||||
// Handle MCP server export request (png/svg)
|
||||
// Verify the response matches the requested format to avoid capturing
|
||||
// unrelated exports (autosave SVG, sync XML)
|
||||
if (pendingMcpExport) {
|
||||
const d = msg.data;
|
||||
const isPng = pendingMcpExport === 'png' && (d.startsWith('data:image/png') || (typeof d === 'string' && d.length > 100 && !d.startsWith('<')));
|
||||
const isSvg = pendingMcpExport === 'svg' && (d.startsWith('data:image/svg') || d.startsWith('<svg'));
|
||||
if (isPng || isSvg) {
|
||||
pendingMcpExport = null;
|
||||
fetch('/api/state', {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify({ sessionId, exportData: d })
|
||||
}).catch(() => {});
|
||||
return;
|
||||
}
|
||||
}
|
||||
// Handle file download export (PNG/SVG only, drawio uses lastXml directly)
|
||||
if (pendingDownload && (pendingDownload.format === 'png' || pendingDownload.format === 'svg')) {
|
||||
const dl = pendingDownload;
|
||||
@@ -732,11 +772,21 @@ function getHtmlPage(sessionId: string): string {
|
||||
pendingSyncExport = true;
|
||||
iframe.contentWindow.postMessage(JSON.stringify({ action: 'export', format: 'xml' }), '*');
|
||||
}
|
||||
// Load new diagram from server
|
||||
// Load new diagram from server (before export, so we export latest)
|
||||
if (s.version > currentVersion && s.xml) {
|
||||
currentVersion = s.version;
|
||||
loadDiagram(s.xml, true);
|
||||
}
|
||||
// Handle export request from MCP server (png/svg) - after version update
|
||||
if (s.exportFormat && !pendingMcpExport && isReady) {
|
||||
pendingMcpExport = s.exportFormat;
|
||||
const exportOpts = s.exportFormat === 'png'
|
||||
? { action: 'export', format: 'png', scale: 2 }
|
||||
: { action: 'export', format: 'svg' };
|
||||
iframe.contentWindow.postMessage(JSON.stringify(exportOpts), '*');
|
||||
// Timeout: reset if draw.io never responds
|
||||
setTimeout(() => { if (pendingMcpExport) { pendingMcpExport = null; } }, 8000);
|
||||
}
|
||||
} catch {}
|
||||
}
|
||||
|
||||
|
||||
@@ -546,16 +546,24 @@ server.registerTool(
|
||||
server.registerTool(
|
||||
"export_diagram",
|
||||
{
|
||||
description: "Export the current diagram to a .drawio file.",
|
||||
description:
|
||||
"Export the current diagram to a file. Supports .drawio (XML), .png, and .svg formats. " +
|
||||
"The format is auto-detected from the file extension, or can be specified explicitly.",
|
||||
inputSchema: {
|
||||
path: z
|
||||
.string()
|
||||
.describe(
|
||||
"File path to save the diagram (e.g., ./diagram.drawio)",
|
||||
"File path to save the diagram (e.g., ./diagram.drawio, ./diagram.png, ./diagram.svg)",
|
||||
),
|
||||
format: z
|
||||
.enum(["drawio", "png", "svg"])
|
||||
.optional()
|
||||
.describe(
|
||||
"Export format. If omitted, detected from file extension. Defaults to drawio.",
|
||||
),
|
||||
},
|
||||
},
|
||||
async ({ path }) => {
|
||||
async ({ path, format }) => {
|
||||
try {
|
||||
if (!currentSession) {
|
||||
return {
|
||||
@@ -590,21 +598,107 @@ server.registerTool(
|
||||
const fs = await import("node:fs/promises")
|
||||
const nodePath = await import("node:path")
|
||||
|
||||
let filePath = path
|
||||
if (!filePath.endsWith(".drawio")) {
|
||||
filePath = `${filePath}.drawio`
|
||||
// Detect format from extension if not specified
|
||||
const ext = nodePath.extname(path).toLowerCase()
|
||||
const detectedFormat =
|
||||
format ||
|
||||
(ext === ".png" ? "png" : ext === ".svg" ? "svg" : "drawio")
|
||||
|
||||
// Original .drawio export path (unchanged logic)
|
||||
if (detectedFormat === "drawio") {
|
||||
let filePath = path
|
||||
if (!filePath.endsWith(".drawio")) {
|
||||
filePath = `${filePath}.drawio`
|
||||
}
|
||||
const absolutePath = nodePath.resolve(filePath)
|
||||
await fs.writeFile(absolutePath, currentSession.xml, "utf-8")
|
||||
log.info(`Diagram exported to ${absolutePath}`)
|
||||
return {
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: `Diagram exported successfully!\n\nFile: ${absolutePath}\nSize: ${currentSession.xml.length} characters`,
|
||||
},
|
||||
],
|
||||
}
|
||||
}
|
||||
|
||||
// PNG or SVG: request browser to export via iframe
|
||||
let filePath = path
|
||||
if (ext !== `.${detectedFormat}`) {
|
||||
if (ext === ".drawio" || ext === ".png" || ext === ".svg") {
|
||||
filePath = filePath.slice(0, -ext.length)
|
||||
}
|
||||
filePath = `${filePath}.${detectedFormat}`
|
||||
}
|
||||
const absolutePath = nodePath.resolve(filePath)
|
||||
await fs.writeFile(absolutePath, currentSession.xml, "utf-8")
|
||||
|
||||
log.info(`Diagram exported to ${absolutePath}`)
|
||||
const state = getState(currentSession.id)
|
||||
if (!state) {
|
||||
return {
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: "Error: Session state not found. Is the browser open?",
|
||||
},
|
||||
],
|
||||
isError: true,
|
||||
}
|
||||
}
|
||||
state.exportFormat = detectedFormat as "png" | "svg"
|
||||
state.exportData = undefined
|
||||
|
||||
// Wait for browser to produce the export data
|
||||
const timeoutMs = 10000
|
||||
const start = Date.now()
|
||||
while (Date.now() - start < timeoutMs) {
|
||||
if (state.exportData) break
|
||||
await new Promise((r) => setTimeout(r, 200))
|
||||
}
|
||||
const exportData = state.exportData as string | undefined
|
||||
state.exportData = undefined
|
||||
state.exportFormat = undefined
|
||||
|
||||
if (!exportData) {
|
||||
return {
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: "Error: Export timed out. Make sure the browser tab is open and the diagram is loaded.",
|
||||
},
|
||||
],
|
||||
isError: true,
|
||||
}
|
||||
}
|
||||
|
||||
// Decode and write
|
||||
if (detectedFormat === "png") {
|
||||
const base64 = exportData.replace(
|
||||
/^data:image\/png;base64,/,
|
||||
"",
|
||||
)
|
||||
await fs.writeFile(absolutePath, Buffer.from(base64, "base64"))
|
||||
} else {
|
||||
let svgContent = exportData
|
||||
if (svgContent.startsWith("data:image/svg+xml;base64,")) {
|
||||
const base64 = svgContent.replace(
|
||||
/^data:image\/svg\+xml;base64,/,
|
||||
"",
|
||||
)
|
||||
svgContent = Buffer.from(base64, "base64").toString("utf-8")
|
||||
}
|
||||
await fs.writeFile(absolutePath, svgContent, "utf-8")
|
||||
}
|
||||
|
||||
const stat = await fs.stat(absolutePath)
|
||||
log.info(
|
||||
`Diagram exported to ${absolutePath} (${detectedFormat}, ${stat.size} bytes)`,
|
||||
)
|
||||
return {
|
||||
content: [
|
||||
{
|
||||
type: "text",
|
||||
text: `Diagram exported successfully!\n\nFile: ${absolutePath}\nSize: ${currentSession.xml.length} characters`,
|
||||
text: `Diagram exported successfully!\n\nFile: ${absolutePath}\nFormat: ${detectedFormat}\nSize: ${stat.size} bytes`,
|
||||
},
|
||||
],
|
||||
}
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
import { describe, expect, it } from "vitest"
|
||||
import { afterEach, beforeEach, describe, expect, it, vi } from "vitest"
|
||||
import {
|
||||
getAIModel,
|
||||
resolveBaseURL,
|
||||
supportsImageInput,
|
||||
supportsPromptCaching,
|
||||
@@ -168,6 +169,11 @@ describe("supportsImageInput", () => {
|
||||
expect(supportsImageInput("moonshot/kimi-k2")).toBe(false)
|
||||
})
|
||||
|
||||
it("returns true for Kimi K2.5 models (supports vision)", () => {
|
||||
expect(supportsImageInput("kimi-k2.5")).toBe(true)
|
||||
expect(supportsImageInput("moonshotai/kimi-k2.5")).toBe(true)
|
||||
})
|
||||
|
||||
it("returns false for DeepSeek text models", () => {
|
||||
expect(supportsImageInput("deepseek-chat")).toBe(false)
|
||||
expect(supportsImageInput("deepseek-coder")).toBe(false)
|
||||
@@ -184,3 +190,120 @@ describe("supportsImageInput", () => {
|
||||
expect(supportsImageInput("gemini-pro")).toBe(true)
|
||||
})
|
||||
})
|
||||
|
||||
vi.mock("ollama-ai-provider-v2", () => {
|
||||
const mockModel = { modelId: "test-model" }
|
||||
const mockProviderFn = vi.fn(() => mockModel)
|
||||
const mockCreateOllama = vi.fn(() => mockProviderFn)
|
||||
const mockOllama = vi.fn(() => mockModel)
|
||||
return { createOllama: mockCreateOllama, ollama: mockOllama }
|
||||
})
|
||||
|
||||
describe("Ollama API key security", () => {
|
||||
let createOllamaMock: ReturnType<typeof vi.fn>
|
||||
const savedEnv: Record<string, string | undefined> = {}
|
||||
|
||||
beforeEach(async () => {
|
||||
savedEnv.OLLAMA_API_KEY = process.env.OLLAMA_API_KEY
|
||||
savedEnv.OLLAMA_BASE_URL = process.env.OLLAMA_BASE_URL
|
||||
delete process.env.OLLAMA_BASE_URL
|
||||
|
||||
const mod = await import("ollama-ai-provider-v2")
|
||||
createOllamaMock = mod.createOllama as ReturnType<typeof vi.fn>
|
||||
createOllamaMock.mockClear()
|
||||
})
|
||||
|
||||
afterEach(() => {
|
||||
process.env.OLLAMA_API_KEY = savedEnv.OLLAMA_API_KEY
|
||||
process.env.OLLAMA_BASE_URL = savedEnv.OLLAMA_BASE_URL
|
||||
})
|
||||
|
||||
it("applies server OLLAMA_API_KEY when no client baseUrl is provided", () => {
|
||||
process.env.OLLAMA_API_KEY = "server-secret-key"
|
||||
|
||||
getAIModel({ provider: "ollama", modelId: "llama2" })
|
||||
|
||||
expect(createOllamaMock).toHaveBeenCalledWith(
|
||||
expect.objectContaining({
|
||||
headers: { Authorization: "Bearer server-secret-key" },
|
||||
}),
|
||||
)
|
||||
})
|
||||
|
||||
it("does NOT leak server OLLAMA_API_KEY when client provides a custom baseUrl", () => {
|
||||
process.env.OLLAMA_API_KEY = "server-secret-key"
|
||||
|
||||
// When server has OLLAMA_API_KEY, the SSRF guard rejects
|
||||
// client-provided baseUrl without an apiKey outright
|
||||
expect(() =>
|
||||
getAIModel({
|
||||
provider: "ollama",
|
||||
baseUrl: "https://evil-server.com",
|
||||
modelId: "llama2",
|
||||
}),
|
||||
).toThrow("API key is required")
|
||||
})
|
||||
|
||||
it("uses client API key when client provides both baseUrl and apiKey", () => {
|
||||
process.env.OLLAMA_API_KEY = "server-secret-key"
|
||||
|
||||
getAIModel({
|
||||
provider: "ollama",
|
||||
baseUrl: "https://my-ollama.com",
|
||||
apiKey: "client-key",
|
||||
modelId: "llama2",
|
||||
})
|
||||
|
||||
expect(createOllamaMock).toHaveBeenCalledWith(
|
||||
expect.objectContaining({
|
||||
baseURL: "https://my-ollama.com",
|
||||
headers: { Authorization: "Bearer client-key" },
|
||||
}),
|
||||
)
|
||||
})
|
||||
|
||||
it("applies both server OLLAMA_BASE_URL and OLLAMA_API_KEY when no client overrides", () => {
|
||||
process.env.OLLAMA_BASE_URL = "https://cloud.ollama.com"
|
||||
process.env.OLLAMA_API_KEY = "server-key"
|
||||
|
||||
getAIModel({ provider: "ollama", modelId: "llama2" })
|
||||
|
||||
expect(createOllamaMock).toHaveBeenCalledWith(
|
||||
expect.objectContaining({
|
||||
baseURL: "https://cloud.ollama.com",
|
||||
headers: { Authorization: "Bearer server-key" },
|
||||
}),
|
||||
)
|
||||
})
|
||||
|
||||
it("works when OLLAMA_API_KEY is set but OLLAMA_BASE_URL is not", () => {
|
||||
process.env.OLLAMA_API_KEY = "server-key"
|
||||
delete process.env.OLLAMA_BASE_URL
|
||||
|
||||
getAIModel({ provider: "ollama", modelId: "llama2" })
|
||||
|
||||
expect(createOllamaMock).toHaveBeenCalledTimes(1)
|
||||
const callArgs = createOllamaMock.mock.calls[0][0]
|
||||
expect(callArgs).not.toHaveProperty("baseURL")
|
||||
expect(callArgs).toEqual(
|
||||
expect.objectContaining({
|
||||
headers: { Authorization: "Bearer server-key" },
|
||||
}),
|
||||
)
|
||||
})
|
||||
|
||||
it("allows client custom baseUrl without apiKey when no server OLLAMA_API_KEY", () => {
|
||||
delete process.env.OLLAMA_API_KEY
|
||||
|
||||
getAIModel({
|
||||
provider: "ollama",
|
||||
baseUrl: "https://my-ollama.com",
|
||||
modelId: "llama2",
|
||||
})
|
||||
|
||||
expect(createOllamaMock).toHaveBeenCalledTimes(1)
|
||||
const callArgs = createOllamaMock.mock.calls[0][0]
|
||||
expect(callArgs.baseURL).toBe("https://my-ollama.com")
|
||||
expect(callArgs).not.toHaveProperty("headers")
|
||||
})
|
||||
})
|
||||
|
||||
@@ -45,6 +45,72 @@ describe("ServerModelsConfigSchema", () => {
|
||||
ServerModelsConfigSchema.parse(invalidConfig as any),
|
||||
).toThrow()
|
||||
})
|
||||
|
||||
it("accepts apiKeyEnv as single string", () => {
|
||||
const config: ServerModelsConfig = {
|
||||
providers: [
|
||||
{
|
||||
name: "OpenAI Server",
|
||||
provider: "openai",
|
||||
models: ["gpt-4o"],
|
||||
apiKeyEnv: "OPENAI_API_KEY_TEAM_A",
|
||||
},
|
||||
],
|
||||
}
|
||||
|
||||
const parsed = ServerModelsConfigSchema.parse(config)
|
||||
expect(parsed.providers[0].apiKeyEnv).toBe("OPENAI_API_KEY_TEAM_A")
|
||||
})
|
||||
|
||||
it("accepts apiKeyEnv as array of strings for load balancing", () => {
|
||||
const config: ServerModelsConfig = {
|
||||
providers: [
|
||||
{
|
||||
name: "OpenAI Server",
|
||||
provider: "openai",
|
||||
models: ["gpt-4o"],
|
||||
apiKeyEnv: ["OPENAI_KEY_1", "OPENAI_KEY_2", "OPENAI_KEY_3"],
|
||||
},
|
||||
],
|
||||
}
|
||||
|
||||
const parsed = ServerModelsConfigSchema.parse(config)
|
||||
expect(parsed.providers[0].apiKeyEnv).toEqual([
|
||||
"OPENAI_KEY_1",
|
||||
"OPENAI_KEY_2",
|
||||
"OPENAI_KEY_3",
|
||||
])
|
||||
})
|
||||
|
||||
it("rejects empty array for apiKeyEnv", () => {
|
||||
const config = {
|
||||
providers: [
|
||||
{
|
||||
name: "OpenAI Server",
|
||||
provider: "openai",
|
||||
models: ["gpt-4o"],
|
||||
apiKeyEnv: [],
|
||||
},
|
||||
],
|
||||
}
|
||||
|
||||
expect(() => ServerModelsConfigSchema.parse(config)).toThrow()
|
||||
})
|
||||
|
||||
it("rejects empty string in apiKeyEnv array", () => {
|
||||
const config = {
|
||||
providers: [
|
||||
{
|
||||
name: "OpenAI Server",
|
||||
provider: "openai",
|
||||
models: ["gpt-4o"],
|
||||
apiKeyEnv: ["VALID_KEY", ""],
|
||||
},
|
||||
],
|
||||
}
|
||||
|
||||
expect(() => ServerModelsConfigSchema.parse(config)).toThrow()
|
||||
})
|
||||
})
|
||||
|
||||
describe("loadFlattenedServerModels", () => {
|
||||
@@ -82,4 +148,24 @@ describe("loadFlattenedServerModels", () => {
|
||||
expect(defaultModel.provider).toBe("openai")
|
||||
expect(defaultModel.modelId).toBe("gpt-4o") // First model of default provider
|
||||
})
|
||||
|
||||
it("preserves apiKeyEnv array in flattened models for load balancing", async () => {
|
||||
const config: ServerModelsConfig = {
|
||||
providers: [
|
||||
{
|
||||
name: "OpenAI LoadBalanced",
|
||||
provider: "openai",
|
||||
models: ["gpt-4o"],
|
||||
apiKeyEnv: ["OPENAI_KEY_1", "OPENAI_KEY_2"],
|
||||
},
|
||||
],
|
||||
}
|
||||
process.env.AI_MODELS_CONFIG = JSON.stringify(config)
|
||||
process.env.AI_MODELS_CONFIG_PATH = "" // Clear file path
|
||||
|
||||
const models = await loadFlattenedServerModels()
|
||||
|
||||
expect(models.length).toBe(1)
|
||||
expect(models[0].apiKeyEnv).toEqual(["OPENAI_KEY_1", "OPENAI_KEY_2"])
|
||||
})
|
||||
})
|
||||
|
||||
Reference in New Issue
Block a user