fix(mcp-server): restrict CORS to same-origin only

Replace wildcard `Access-Control-Allow-Origin: *` with same-origin check, preventing external websites from accessing MCP server APIs via cross-origin requests.
feat: add glm vision model check (#741 )
2026-09-01 09:00:23 +08:00 · 2026-03-24 11:43:04 +09:00 · 2026-03-21 01:22:44 +09:00 · 2026-03-21 00:46:04 +09:00 · 2026-03-18 21:25:45 +09:00 · 2026-03-16 20:48:39 +09:00
69 changed files with 7827 additions and 9202 deletions
--- a/.github/CONTRIBUTING.md
+++ b/.github/CONTRIBUTING.md
@@ -47,6 +47,10 @@ To run tests with UI mode:
 npx playwright test --ui
 ```

+## Before You Start
+
+For **significant changes** (new features, architecture changes, large refactors, etc.), please **open an issue first** to discuss your proposal before writing code. This helps avoid wasted effort and ensures alignment with the project direction. Small bug fixes and minor improvements can go straight to a PR.
+
 ## Pull Requests

 1. Create a feature branch
@@ -57,6 +61,12 @@ npx playwright test --ui

 CI will run the full test suite on your PR.

+## Code Review
+
+This project uses GitHub Copilot for automated code review. If you receive review comments from Copilot on your PR:
+- **Valid suggestions**: Please address them in your code.
+- **Invalid or irrelevant suggestions**: Feel free to click "Resolve" to dismiss them.
+
 ## Issues

 Include steps to reproduce, expected vs actual behavior, and AI provider used.
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -40,5 +40,3 @@ jobs:
      - name: Build
        run: npm run build

-      - name: Security audit
-        run: npm audit --audit-level=high --omit=dev
--- a/.gitignore
+++ b/.gitignore
@@ -72,3 +72,6 @@ CLAUDE.md
 .edgeone
 opencode.json
 ai-models.json
+
+# local backups
+*.bak
--- a/6
+++ b/6
@@ -9,6 +9,7 @@ WORKDIR /app
 COPY package.json package-lock.json* ./

 # Install dependencies
+ARG ELECTRON_SKIP_BINARY_DOWNLOAD=1
 RUN npm install

 # Stage 2: Build application
@@ -34,6 +35,11 @@ ENV NEXT_PUBLIC_SHOW_ABOUT_AND_NOTICE=${NEXT_PUBLIC_SHOW_ABOUT_AND_NOTICE}
 ARG NEXT_PUBLIC_BASE_PATH=""
 ENV NEXT_PUBLIC_BASE_PATH=${NEXT_PUBLIC_BASE_PATH}

+# Control sponsorship and self-hosting messaging in quota notifications.
+# Set NEXT_PUBLIC_SELFHOSTED="true" in self-hosted deployments to hide sponsorship/self-host links and related text in quota popups.
+ARG NEXT_PUBLIC_SELFHOSTED=""
+ENV NEXT_PUBLIC_SELFHOSTED="${NEXT_PUBLIC_SELFHOSTED}"
+
 # Build Next.js application (standalone mode)
 RUN npm run build

--- a/README.md
+++ b/README.md
@@ -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/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio) sponsorship, the demo site now uses the powerful glm-4.7 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/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio)
 -   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/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio) 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!

--- a/app/[lang]/about/cn/page.tsx
+++ b/app/[lang]/about/cn/page.tsx
@@ -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/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio"
                                        target="_blank"
                                        rel="noopener noreferrer"
                                        className="font-semibold text-blue-600 hover:underline"
@@ -87,7 +87,7 @@ export default function AboutCN() {
                                    </a>
                                    的慷慨赞助，演示站点现已接入强大的{" "}
                                    <span className="font-semibold text-amber-700">
-                                        K2-thinking
+                                        glm-4.7
                                    </span>{" "}
                                    模型，图表生成效果更佳！点击链接注册即可领取{" "}
                                    <span className="font-semibold text-amber-700">
@@ -97,6 +97,23 @@ export default function AboutCN() {
                                </p>
                            </div>

+                            {/* Invite Poster */}
+                            <div className="text-center mb-5">
+                                <a
+                                    href="https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio"
+                                    target="_blank"
+                                    rel="noopener noreferrer"
+                                >
+                                    <Image
+                                        src="/volcengine-invite.png"
+                                        alt="火山引擎方舟 Coding Plan"
+                                        width={300}
+                                        height={400}
+                                        className="mx-auto rounded-lg"
+                                    />
+                                </a>
+                            </div>
+
                            {/* Bring Your Own Key */}
                            <div className="text-center">
                                <h4 className="text-base font-bold text-gray-900 mb-2">
@@ -277,7 +294,7 @@ 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/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio"
                                target="_blank"
                                rel="noopener noreferrer"
                                className="text-blue-600 hover:underline"
@@ -312,7 +329,7 @@ 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/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio"
                            target="_blank"
                            rel="noopener noreferrer"
                            className="text-blue-600 hover:underline"
--- a/app/[lang]/about/ja/page.tsx
+++ b/app/[lang]/about/ja/page.tsx
@@ -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/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio"
                                        target="_blank"
                                        rel="noopener noreferrer"
                                        className="font-semibold text-blue-600 hover:underline"
@@ -95,7 +95,7 @@ export default function AboutJA() {
                                    </a>
                                    様のご支援により、デモサイトでは強力な{" "}
                                    <span className="font-semibold text-amber-700">
-                                        K2-thinking
+                                        glm-4.7
                                    </span>{" "}
                                    モデルを利用できるようになり、より高品質なダイアグラム生成が可能になりました。リンクから登録すると、すべてのモデルで使える{" "}
                                    <span className="font-semibold text-amber-700">
@@ -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/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio"
                                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/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio"
                            target="_blank"
                            rel="noopener noreferrer"
                            className="text-blue-600 hover:underline"
--- a/app/[lang]/about/page.tsx
+++ b/app/[lang]/about/page.tsx
@@ -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/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio"
                                        target="_blank"
                                        rel="noopener noreferrer"
                                        className="font-semibold text-blue-600 hover:underline"
@@ -96,7 +96,7 @@ export default function About() {
                                    </a>
                                    , the demo site now uses the powerful{" "}
                                    <span className="font-semibold text-amber-700">
-                                        K2-thinking
+                                        glm-4.7
                                    </span>{" "}
                                    model for better diagram generation! Sign up
                                    via the link to get{" "}
@@ -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/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio"
                                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/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio"
                            target="_blank"
                            rel="noopener noreferrer"
                            className="text-blue-600 hover:underline"
--- a/app/[lang]/layout.tsx
+++ b/app/[lang]/layout.tsx
@@ -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",
            },
        },
    }
--- a/app/[lang]/page.tsx
+++ b/app/[lang]/page.tsx
@@ -11,16 +11,10 @@ import {
 } from "@/components/ui/resizable"
 import { useDiagram } from "@/contexts/diagram-context"
 import { i18n, type Locale } from "@/lib/i18n/config"
-import { isIndexedDBUsable } from "@/lib/session-storage"

 export default function Home() {
-    const {
-        drawioRef,
-        handleDiagramExport,
-        handleDiagramAutoSave,
-        onDrawioLoad,
-        resetDrawioReady,
-    } = useDiagram()
+    const { drawioRef, handleDiagramExport, onDrawioLoad, resetDrawioReady } =
+        useDiagram()
    const router = useRouter()
    const pathname = usePathname()
    // Extract current language from pathname (e.g., "/zh/about" → "zh")
@@ -32,8 +26,6 @@ export default function Home() {
    const [isLoaded, setIsLoaded] = useState(false)
    const [isDrawioReady, setIsDrawioReady] = useState(false)
    const [isElectron, setIsElectron] = useState(false)
-    const [canPersist, setCanPersist] = useState(false)
-    const [canPersistChecked, setCanPersistChecked] = useState(false)
    const [drawioBaseUrl, setDrawioBaseUrl] = useState(
        process.env.NEXT_PUBLIC_DRAWIO_BASE_URL || "https://embed.diagrams.net",
    )
@@ -84,11 +76,6 @@ export default function Home() {
            setDrawioBaseUrl(`${window.location.origin}/drawio/index.html`)
        }

-        void (async () => {
-            const usable = await isIndexedDBUsable()
-            setCanPersist(usable)
-            setCanPersistChecked(true)
-        })()
        setIsLoaded(true)
    }, [pathname, router])

@@ -97,17 +84,6 @@ export default function Home() {
        onDrawioLoad()
    }, [onDrawioLoad])

-    const handleDrawioAutoSave = useCallback(
-        (data: { xml?: string }) => {
-            handleDiagramAutoSave(data)
-            // Only suppress modified state when persistence is available
-            if (canPersist) {
-                drawioRef.current?.status({ message: "", modified: false })
-            }
-        },
-        [canPersist, drawioRef, handleDiagramAutoSave],
-    )
-
    const handleDarkModeChange = () => {
        const newValue = !darkMode
        setDarkMode(newValue)
@@ -191,32 +167,20 @@ export default function Home() {
                        }`}
                    >
                        <div className="h-full rounded-xl overflow-hidden shadow-soft-lg border border-border/30 relative">
-                            {isLoaded && canPersistChecked && (
+                            {isLoaded && (
                                <div
                                    className={`h-full w-full ${isDrawioReady ? "" : "invisible absolute inset-0"}`}
                                >
                                    <DrawIoEmbed
                                        key={`${drawioUi}-${darkMode}-${currentLang}-${isElectron}`}
                                        ref={drawioRef}
-                                        autosave
-                                        onAutoSave={handleDrawioAutoSave}
                                        onExport={handleDiagramExport}
                                        onLoad={handleDrawioLoad}
                                        baseUrl={drawioBaseUrl}
-                                        configuration={
-                                            canPersist
-                                                ? { confirmExit: false }
-                                                : undefined
-                                        }
                                        urlParameters={{
                                            ui: drawioUi,
                                            spin: false,
                                            libraries: false,
-                                            // Disable modified tracking only when persistence is available
-                                            ...(canPersist && {
-                                                modified: false,
-                                                keepmodified: false,
-                                            }),
                                            saveAndExit: false,
                                            noSaveBtn: true,
                                            noExitBtn: true,
--- a/app/api/chat/route.ts
+++ b/app/api/chat/route.ts
@@ -14,6 +14,7 @@ import path from "path"
 import { z } from "zod"
 import {
    getAIModel,
+    SINGLE_SYSTEM_PROVIDERS,
    supportsImageInput,
    supportsPromptCaching,
 } from "@/lib/ai-providers"
@@ -89,7 +90,12 @@ async function handleChatRequest(req: Request): Promise<Response> {
        }
    }

-    const { messages, xml, previousXml, sessionId } = await req.json()
+    const body = await req.json()
+    const { messages, xml, previousXml, sessionId } = body
+    const customSystemMessage =
+        typeof body.customSystemMessage === "string"
+            ? body.customSystemMessage.slice(0, 5000)
+            : ""

    // Get user ID for Langfuse tracking and quota
    const userId = getUserIdFromRequest(req)
@@ -186,7 +192,7 @@ 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
    } = {}
@@ -235,8 +241,13 @@ async function handleChatRequest(req: Request): Promise<Response> {
    )

    // Get AI model with optional client overrides
-    const { model, providerOptions, headers, modelId } =
-        getAIModel(clientOverrides)
+    const {
+        model,
+        providerOptions,
+        headers,
+        modelId,
+        provider: resolvedProvider,
+    } = getAIModel(clientOverrides)

    // Check if model supports prompt caching
    const shouldCache = supportsPromptCaching(modelId)
@@ -246,6 +257,9 @@ async function handleChatRequest(req: Request): Promise<Response> {

    // Get the appropriate system prompt based on model (extended for Opus/Haiku 4.5)
    const systemMessage = getSystemPrompt(modelId, minimalStyle)
+    const finalSystemMessage = customSystemMessage
+        ? `${systemMessage}\n\n## Custom Instructions\n${customSystemMessage}`
+        : systemMessage

    // Extract file parts (images) from the last user message
    const fileParts =
@@ -418,37 +432,63 @@ ${userInputText}
    }

    // System messages with multiple cache breakpoints for optimal caching:
-    // - Breakpoint 1: Static instructions (~1500 tokens) - rarely changes
+    // - Breakpoint 1: System instructions + custom instructions - changes when user updates custom system message
    // - Breakpoint 2: Current XML context - changes per diagram, but constant within a conversation turn
-    // This allows: if only user message changes, both system caches are reused
-    //              if XML changes, instruction cache is still reused
-    const systemMessages = [
-        // Cache breakpoint 1: Instructions (rarely change)
-        {
-            role: "system" as const,
-            content: systemMessage,
-            ...(shouldCache && {
-                providerOptions: {
-                    bedrock: { cachePoint: { type: "default" } },
-                },
-            }),
-        },
-        // Cache breakpoint 2: Previous and Current diagram XML context
-        {
-            role: "system" as const,
-            content: `${previousXml ? `Previous diagram XML (before user's last message):\n"""xml\n${previousXml}\n"""\n\n` : ""}Current diagram XML (AUTHORITATIVE - the source of truth):\n"""xml\n${xml || ""}\n"""\n\nIMPORTANT: The "Current diagram XML" is the SINGLE SOURCE OF TRUTH for what's on the canvas right now. The user can manually add, delete, or modify shapes directly in draw.io. Always count and describe elements based on the CURRENT XML, not on what you previously generated. If both previous and current XML are shown, compare them to understand what the user changed. When using edit_diagram, COPY search patterns exactly from the CURRENT XML - attribute order matters!`,
-            ...(shouldCache && {
-                providerOptions: {
-                    bedrock: { cachePoint: { type: "default" } },
-                },
-            }),
-        },
-    ]
+    // Some providers (e.g. MiniMax) don't support multiple system messages
+    // Merge them into a single system message for compatibility
+    const isSingleSystemProvider = SINGLE_SYSTEM_PROVIDERS.has(resolvedProvider)
+
+    const xmlContext = `${
+        previousXml
+            ? `Previous diagram XML (before user's last message):
+"""xml
+${previousXml}
+"""
+
+`
+            : ""
+    }Current diagram XML (AUTHORITATIVE - the source of truth):
+"""xml
+${xml || ""}
+"""
+
+IMPORTANT: The "Current diagram XML" is the SINGLE SOURCE OF TRUTH for what's on the canvas right now. The user can manually add, delete, or modify shapes directly in draw.io. Always count and describe elements based on the CURRENT XML, not on what you previously generated. If both previous and current XML are shown, compare them to understand what the user changed. When using edit_diagram, COPY search patterns exactly from the CURRENT XML - attribute order matters!`
+
+    const systemMessages = isSingleSystemProvider
+        ? [
+              {
+                  role: "system" as const,
+                  content: `${finalSystemMessage}\n\n${xmlContext}`,
+              },
+          ]
+        : [
+              // Cache breakpoint 1: Instructions (+ optional custom instructions)
+              {
+                  role: "system" as const,
+                  content: finalSystemMessage,
+                  ...(shouldCache && {
+                      providerOptions: {
+                          bedrock: { cachePoint: { type: "default" } },
+                      },
+                  }),
+              },
+              // Cache breakpoint 2: Previous and Current diagram XML context
+              {
+                  role: "system" as const,
+                  content: xmlContext,
+                  ...(shouldCache && {
+                      providerOptions: {
+                          bedrock: { cachePoint: { type: "default" } },
+                      },
+                  }),
+              },
+          ]

    const allMessages = [...systemMessages, ...enhancedMessages]

    const result = streamText({
        model,
+        abortSignal: req.signal,
        ...(process.env.MAX_OUTPUT_TOKENS && {
            maxOutputTokens: parseInt(process.env.MAX_OUTPUT_TOKENS, 10),
        }),
@@ -662,7 +702,7 @@ 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 +747,7 @@ 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}":`,
--- a/app/api/parse-url/route.ts
+++ b/app/api/parse-url/route.ts
@@ -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) {
--- a/app/api/validate-model/route.ts
+++ b/app/api/validate-model/route.ts
@@ -9,7 +9,9 @@ import { createOpenRouter } from "@openrouter/ai-sdk-provider"
 import { generateText } from "ai"
 import { NextResponse } from "next/server"
 import { createOllama } from "ollama-ai-provider-v2"
+import { normalizeMiniMaxBaseURL } from "@/lib/ai-providers"
 import { allowPrivateUrls, isPrivateUrl } from "@/lib/ssrf-protection"
+import { PROVIDER_INFO, type ProviderName } from "@/lib/types/model-config"

 export const runtime = "nodejs"

@@ -174,10 +176,21 @@ 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
            }

@@ -308,6 +321,58 @@ export async function POST(req: Request) {
                }
            }

+            case "minimax": {
+                const rawUrl =
+                    baseUrl ||
+                    PROVIDER_INFO.minimax?.defaultBaseUrl ||
+                    "https://api.minimaxi.com/anthropic"
+                const { baseURL: minimaxBaseUrl, isAnthropicCompatible } =
+                    normalizeMiniMaxBaseURL(rawUrl)
+
+                if (isAnthropicCompatible) {
+                    const minimax = createAnthropic({
+                        apiKey,
+                        baseURL: minimaxBaseUrl,
+                    })
+                    model = minimax.chat(modelId)
+                } else {
+                    const minimax = createOpenAI({
+                        apiKey,
+                        baseURL: minimaxBaseUrl,
+                    })
+                    model = minimax.chat(modelId)
+                }
+                break
+            }
+
+            // GLM, Qwen, Kimi, Qiniu - OpenAI compatible
+            case "glm":
+            case "qwen":
+            case "kimi":
+            case "qiniu": {
+                const baseURL =
+                    baseUrl ||
+                    PROVIDER_INFO[provider as ProviderName]?.defaultBaseUrl ||
+                    ""
+
+                if (!baseURL) {
+                    return NextResponse.json(
+                        {
+                            valid: false,
+                            error: `No base URL configured for provider: ${provider}`,
+                        },
+                        { status: 400 },
+                    )
+                }
+
+                const openai = createOpenAI({
+                    apiKey,
+                    baseURL,
+                })
+                model = openai.chat(modelId)
+                break
+            }
+
            default:
                return NextResponse.json(
                    { valid: false, error: `Unknown provider: ${provider}` },
--- a/biome.json
+++ b/biome.json
@@ -1,5 +1,5 @@
 {
-    "$schema": "https://biomejs.dev/schemas/2.3.10/schema.json",
+    "$schema": "https://biomejs.dev/schemas/2.4.4/schema.json",
    "vcs": {
        "enabled": true,
        "clientKind": "git",
--- a/components/ai-elements/model-selector.tsx
+++ b/components/ai-elements/model-selector.tsx
@@ -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>

--- a/components/chat-input.tsx
+++ b/components/chat-input.tsx
@@ -5,8 +5,8 @@ import {
    History,
    Image as ImageIcon,
    Link,
-    Loader2,
    Send,
+    Square,
 } from "lucide-react"
 import type React from "react"
 import {
@@ -154,6 +154,7 @@ 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 +170,8 @@ 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 +184,7 @@ export const ChatInput = forwardRef<ChatInputRef, ChatInputProps>(
            status,
            onSubmit,
            onChange,
+            onStop,
            files = [],
            onFileChange = () => {},
            pdfData = new Map(),
@@ -193,8 +195,8 @@ export const ChatInput = forwardRef<ChatInputRef, ChatInputProps>(
            models = [],
            selectedModelId,
            onModelSelect = () => {},
+            onConfigureModels,
            showUnvalidatedModels = false,
-            onConfigureModels = () => {},
            shouldFocus = false,
            onFocused,
        },
@@ -555,24 +557,30 @@ 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
--- a/components/chat-message-display.tsx
+++ b/components/chat-message-display.tsx
@@ -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"
--- a/components/chat-panel.tsx
+++ b/components/chat-panel.tsx
@@ -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"
@@ -131,28 +131,33 @@ export default function ChatPanel({

    const dict = useDictionary()
    const router = useRouter()
+    const pathname = usePathname()
    const searchParams = useSearchParams()
    const urlSessionId = searchParams.get("session")

    const onFetchChart = (saveToHistory = true) => {
        return Promise.race([
            new Promise<string>((resolve) => {
-                resolverRef.current = resolve
+                if (resolverRef && "current" in resolverRef) {
+                    resolverRef.current = resolve
+                }
                if (saveToHistory) {
                    onExport()
                } else {
                    handleExportWithoutHistory()
                }
            }),
-            new Promise<string>((_, reject) => {
-                const currentResolver = resolverRef.current
-                setTimeout(() => {
-                    if (resolverRef.current === currentResolver) {
-                        resolverRef.current = null
-                    }
-                    reject(new Error("Chart export timed out after 10 seconds"))
-                }, 10000)
-            }),
+            new Promise<string>((_, reject) =>
+                setTimeout(
+                    () =>
+                        reject(
+                            new Error(
+                                "Chart export timed out after 10 seconds",
+                            ),
+                        ),
+                    10000,
+                ),
+            ),
        ])
    }

@@ -175,6 +180,7 @@ export default function ChatPanel({
    const [tpmLimit, setTpmLimit] = useState(0)
    const [minimalStyle, setMinimalStyle] = useState(false)
    const [vlmValidationEnabled, setVlmValidationEnabled] = useState(false)
+    const [customSystemMessage, setCustomSystemMessage] = useState("")
    const [shouldFocusInput, setShouldFocusInput] = useState(false)

    // Restore input from sessionStorage on mount (when ChatPanel remounts due to key change)
@@ -193,6 +199,14 @@ export default function ChatPanel({
        }
    }, [])

+    // Load custom system message from localStorage on mount
+    useEffect(() => {
+        const stored = localStorage.getItem(STORAGE_KEYS.customSystemMessage)
+        if (stored !== null) {
+            setCustomSystemMessage(stored)
+        }
+    }, [])
+
    // Check config on mount
    useEffect(() => {
        fetch(getApiEndpoint("/api/config"))
@@ -303,6 +317,12 @@ export default function ChatPanel({
        localStorage.setItem(STORAGE_KEYS.vlmValidationEnabled, String(value))
    }, [])

+    // Handler for custom system message change
+    const handleCustomSystemMessageChange = useCallback((value: string) => {
+        setCustomSystemMessage(value)
+        localStorage.setItem(STORAGE_KEYS.customSystemMessage, value)
+    }, [])
+
    // Ref to store the sendMessage function for use in callbacks
    const sendMessageRef = useRef<typeof sendMessage | null>(null)

@@ -335,151 +355,155 @@ 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(() => {
@@ -673,7 +697,7 @@ export default function ChatPanel({
        // Debounce: save after 1 second of no changes
        localStorageDebounceRef.current = setTimeout(async () => {
            try {
-                if (messages.length > 0 || hasDiagramNow) {
+                if (messages.length > 0) {
                    const sessionData = await buildSessionData({
                        // Only capture thumbnail if there was a diagram AND this isn't a no-diagram session
                        withThumbnail: hasDiagramNow && !isNodiagramSession,
@@ -695,7 +719,6 @@ export default function ChatPanel({
            }
        }
    }, [
-        chartXML,
        messages,
        status,
        sessionIsAvailable,
@@ -726,8 +749,7 @@ export default function ChatPanel({
        const handleVisibilityChange = async () => {
            if (
                document.visibilityState === "hidden" &&
-                (messagesRef.current.length > 0 ||
-                    isRealDiagram(chartXMLRef.current))
+                messagesRef.current.length > 0
            ) {
                try {
                    // Attempt to save session - browser may not wait for completion
@@ -899,10 +921,10 @@ 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 () => {
@@ -935,7 +957,7 @@ 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)
@@ -950,6 +972,7 @@ export default function ChatPanel({
        dict.dialogs.clearSuccess,
        buildSessionData,
        setDiagramHistory,
+        pathname,
    ])

    const handleInputChange = (
@@ -989,6 +1012,29 @@ 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,
@@ -1006,7 +1052,7 @@ export default function ChatPanel({
        sendMessage(
            { parts },
            {
-                body: { xml, previousXml, sessionId },
+                body: { xml, previousXml, sessionId, customSystemMessage },
                headers: {
                    "x-access-code": config.accessCode,
                    ...(config.aiProvider && {
@@ -1355,6 +1401,7 @@ export default function ChatPanel({
                    status={status}
                    onSubmit={onFormSubmit}
                    onChange={handleInputChange}
+                    onStop={handleStop}
                    files={files}
                    onFileChange={handleFileChange}
                    pdfData={pdfData}
@@ -1365,8 +1412,8 @@ 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)}
                />
@@ -1383,6 +1430,9 @@ export default function ChatPanel({
                onMinimalStyleChange={setMinimalStyle}
                vlmValidationEnabled={vlmValidationEnabled}
                onVlmValidationChange={handleVlmValidationChange}
+                customSystemMessage={customSystemMessage}
+                onCustomSystemMessageChange={handleCustomSystemMessageChange}
+                onOpenModelConfig={() => setShowModelConfigDialog(true)}
            />

            <ModelConfigDialog
--- a/components/chat/ChatLobby.tsx
+++ b/components/chat/ChatLobby.tsx
@@ -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,
--- a/components/chat/ValidationCard.tsx
+++ b/components/chat/ValidationCard.tsx
@@ -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"

--- a/components/file-preview-list.tsx
+++ b/components/file-preview-list.tsx
@@ -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"

--- a/components/history-dialog.tsx
+++ b/components/history-dialog.tsx
@@ -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,
--- a/components/image-with-basepath.tsx
+++ b/components/image-with-basepath.tsx
@@ -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} />
+    },
+)
--- a/components/model-config-dialog.tsx
+++ b/components/model-config-dialog.tsx
@@ -54,7 +54,11 @@ import { useDictionary } from "@/hooks/use-dictionary"
 import type { UseModelConfigReturn } from "@/hooks/use-model-config"
 import { formatMessage } from "@/lib/i18n/utils"
 import type { ProviderConfig, ProviderName } from "@/lib/types/model-config"
-import { PROVIDER_INFO, SUGGESTED_MODELS } from "@/lib/types/model-config"
+import {
+    PROVIDER_INFO,
+    PROVIDER_LOGO_MAP,
+    SUGGESTED_MODELS,
+} from "@/lib/types/model-config"
 import { cn } from "@/lib/utils"

 interface ModelConfigDialogProps {
@@ -65,24 +69,6 @@ interface ModelConfigDialogProps {

 type ValidationStatus = "idle" | "validating" | "success" | "error"

-// Map provider names to models.dev logo names
-const PROVIDER_LOGO_MAP: Record<string, string> = {
-    openai: "openai",
-    anthropic: "anthropic",
-    google: "google",
-    azure: "azure",
-    bedrock: "amazon-bedrock",
-    openrouter: "openrouter",
-    deepseek: "deepseek",
-    siliconflow: "siliconflow",
-    sglang: "openai", // SGLang is OpenAI-compatible
-    gateway: "vercel",
-    edgeone: "tencent-cloud",
-    vertexai: "google",
-    doubao: "bytedance",
-    modelscope: "modelscope",
-}
-
 // Provider logo component
 function ProviderLogo({
    provider,
@@ -282,6 +268,7 @@ 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 +283,7 @@ export function ModelConfigDialog({
            if (!selectedProvider.vertexApiKey) {
                return
            }
-        } else if (!isEdgeOne && !selectedProvider.apiKey) {
+        } else if (!isEdgeOne && !isOllama && !selectedProvider.apiKey) {
            return
        }

@@ -1030,9 +1017,7 @@ 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 +1085,9 @@ 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 +1151,9 @@ export function ModelConfigDialog({
                                                                    handleValidate
                                                                }
                                                                disabled={
-                                                                    !selectedProvider.apiKey ||
+                                                                    (selectedProvider.provider !==
+                                                                        "ollama" &&
+                                                                        !selectedProvider.apiKey) ||
                                                                    validationStatus ===
                                                                        "validating"
                                                                }
@@ -1251,6 +1241,16 @@ export function ModelConfigDialog({
                                                            }
                                                            className="h-9 rounded-xl font-mono text-xs"
                                                        />
+                                                        {selectedProvider.provider ===
+                                                            "minimax" && (
+                                                            <p className="text-xs text-muted-foreground">
+                                                                {
+                                                                    dict
+                                                                        .modelConfig
+                                                                        .minimaxBaseUrlHint
+                                                                }
+                                                            </p>
+                                                        )}
                                                    </div>
                                                </>
                                            )}
@@ -1661,12 +1661,16 @@ 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>
--- a/components/model-selector.tsx
+++ b/components/model-selector.tsx
@@ -27,36 +27,21 @@ import {
 } from "@/components/ai-elements/model-selector"
 import { ButtonWithTooltip } from "@/components/button-with-tooltip"
 import { useDictionary } from "@/hooks/use-dictionary"
-import type { FlattenedModel } from "@/lib/types/model-config"
+import {
+    type FlattenedModel,
+    PROVIDER_LOGO_MAP,
+} from "@/lib/types/model-config"
 import { cn } from "@/lib/utils"

 interface ModelSelectorProps {
    models: FlattenedModel[]
    selectedModelId: string | undefined
    onSelect: (modelId: string | undefined) => void
-    onConfigure: () => void
+    onConfigure?: () => void
    disabled?: boolean
    showUnvalidatedModels?: boolean
 }

-// Map our provider names to models.dev logo names
-const PROVIDER_LOGO_MAP: Record<string, string> = {
-    openai: "openai",
-    anthropic: "anthropic",
-    google: "google",
-    azure: "azure",
-    bedrock: "amazon-bedrock",
-    openrouter: "openrouter",
-    deepseek: "deepseek",
-    siliconflow: "siliconflow",
-    sglang: "openai", // SGLang is OpenAI-compatible, use OpenAI logo
-    gateway: "vercel",
-    edgeone: "tencent-cloud",
-    vertexai: "google",
-    doubao: "bytedance",
-    modelscope: "modelscope",
-}
-
 // Group models by providerLabel (handles duplicate providers)
 function groupModelsByProvider(
    models: FlattenedModel[],
@@ -126,9 +111,7 @@ 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 +197,241 @@ 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>
--- a/components/quota-limit-toast.tsx
+++ b/components/quota-limit-toast.tsx
@@ -23,9 +23,22 @@ export function QuotaLimitToast({
 }: QuotaLimitToastProps) {
    const dict = useDictionary()
    const isTokenLimit = type === "token"
+    const isSelfHosted = process.env.NEXT_PUBLIC_SELFHOSTED === "true"
    const formatNumber = (n: number) =>
        n >= 1000 ? `${(n / 1000).toFixed(1)}k` : n.toString()

+    const quotaMessage = isTokenLimit
+        ? isSelfHosted
+            ? (dict.quota.messageTokenSelfHosted ?? dict.quota.messageToken)
+            : dict.quota.messageToken
+        : isSelfHosted
+          ? (dict.quota.messageApiSelfHosted ?? dict.quota.messageApi)
+          : dict.quota.messageApi
+
+    const tipHtml = isSelfHosted
+        ? (dict.quota.tipSelfHosted ?? dict.quota.tip)
+        : dict.quota.tip
+
    const handleKeyDown = (e: React.KeyboardEvent) => {
        if (e.key === "Escape") {
            e.preventDefault()
@@ -71,19 +84,24 @@ export function QuotaLimitToast({
            </div>
            {/* Message */}
            <div className="text-sm text-muted-foreground leading-relaxed mb-4 space-y-2">
-                <p>
-                    {isTokenLimit
-                        ? dict.quota.messageToken
-                        : dict.quota.messageApi}
-                </p>
+                <p>{quotaMessage}</p>
+                {!isSelfHosted && (
+                    <p
+                        dangerouslySetInnerHTML={{
+                            __html: formatMessage(
+                                dict.quota.doubaoSponsorship,
+                                {
+                                    link: "https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio",
+                                },
+                            ),
+                        }}
+                    />
+                )}
                <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",
-                        }),
+                        __html: tipHtml,
                    }}
                />
-                <p dangerouslySetInnerHTML={{ __html: dict.quota.tip }} />
                <p>{dict.quota.reset}</p>
            </div>{" "}
            {/* Action buttons */}
@@ -101,24 +119,28 @@ export function QuotaLimitToast({
                        {dict.quota.configModel}
                    </button>
                )}
-                <a
-                    href="https://github.com/DayuanJiang/next-ai-draw-io"
-                    target="_blank"
-                    rel="noopener noreferrer"
-                    className="inline-flex items-center gap-1.5 px-3 py-1.5 text-xs font-medium rounded-lg border border-border text-foreground hover:bg-muted transition-colors"
-                >
-                    <FaGithub className="w-3.5 h-3.5" />
-                    {dict.quota.selfHost}
-                </a>
-                <a
-                    href="https://github.com/sponsors/DayuanJiang"
-                    target="_blank"
-                    rel="noopener noreferrer"
-                    className="inline-flex items-center gap-1.5 px-3 py-1.5 text-xs font-medium rounded-lg border border-border text-foreground hover:bg-muted transition-colors"
-                >
-                    <Coffee className="w-3.5 h-3.5" />
-                    {dict.quota.sponsor}
-                </a>
+                {!isSelfHosted && (
+                    <>
+                        <a
+                            href="https://github.com/DayuanJiang/next-ai-draw-io"
+                            target="_blank"
+                            rel="noopener noreferrer"
+                            className="inline-flex items-center gap-1.5 px-3 py-1.5 text-xs font-medium rounded-lg border border-border text-foreground hover:bg-muted transition-colors"
+                        >
+                            <FaGithub className="w-3.5 h-3.5" />
+                            {dict.quota.selfHost}
+                        </a>
+                        <a
+                            href="https://github.com/sponsors/DayuanJiang"
+                            target="_blank"
+                            rel="noopener noreferrer"
+                            className="inline-flex items-center gap-1.5 px-3 py-1.5 text-xs font-medium rounded-lg border border-border text-foreground hover:bg-muted transition-colors"
+                        >
+                            <Coffee className="w-3.5 h-3.5" />
+                            {dict.quota.sponsor}
+                        </a>
+                    </>
+                )}
            </div>
        </div>
    )
--- a/components/settings-dialog.tsx
+++ b/components/settings-dialog.tsx
@@ -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"
@@ -22,6 +22,7 @@ import {
    SelectValue,
 } from "@/components/ui/select"
 import { Switch } from "@/components/ui/switch"
+import { Textarea } from "@/components/ui/textarea"
 import { useDictionary } from "@/hooks/use-dictionary"
 import { getApiEndpoint } from "@/lib/base-path"
 import { i18n, type Locale } from "@/lib/i18n/config"
@@ -56,6 +57,7 @@ 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 +71,9 @@ interface SettingsDialogProps {
    onMinimalStyleChange?: (value: boolean) => void
    vlmValidationEnabled?: boolean
    onVlmValidationChange?: (value: boolean) => void
+    onOpenModelConfig?: () => void
+    customSystemMessage?: string
+    onCustomSystemMessageChange?: (value: string) => void
 }

 export const STORAGE_ACCESS_CODE_KEY = "next-ai-draw-io-access-code"
@@ -92,6 +97,9 @@ function SettingsContent({
    onMinimalStyleChange = () => {},
    vlmValidationEnabled = false,
    onVlmValidationChange = () => {},
+    onOpenModelConfig,
+    customSystemMessage = "",
+    onCustomSystemMessageChange = () => {},
 }: SettingsDialogProps) {
    const dict = useDictionary()
    const router = useRouter()
@@ -283,6 +291,27 @@ 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">
@@ -433,6 +462,33 @@ function SettingsContent({
                        </div>
                    </SettingItem>

+                    {/* Custom System Message */}
+                    <div className="py-4 space-y-3">
+                        <div className="space-y-0.5">
+                            <Label
+                                htmlFor="custom-system-message"
+                                className="text-sm font-medium"
+                            >
+                                {dict.settings.customSystemMessage}
+                            </Label>
+                            <p className="text-xs text-muted-foreground">
+                                {dict.settings.customSystemMessageDescription}
+                            </p>
+                        </div>
+                        <Textarea
+                            id="custom-system-message"
+                            value={customSystemMessage}
+                            onChange={(e) =>
+                                onCustomSystemMessageChange(e.target.value)
+                            }
+                            placeholder={
+                                dict.settings.customSystemMessagePlaceholder
+                            }
+                            className="min-h-[80px] max-h-[160px] text-sm"
+                            maxLength={5000}
+                        />
+                    </div>
+
                    {/* Send Shortcut */}
                    <SettingItem
                        label={dict.settings.sendShortcut}
--- a/components/ui/command.tsx
+++ b/components/ui/command.tsx
@@ -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
--- a/contexts/diagram-context.tsx
+++ b/contexts/diagram-context.tsx
@@ -20,10 +20,9 @@ interface DiagramContextType {
    loadDiagram: (chart: string, skipValidation?: boolean) => string | null
    handleExport: () => void
    handleExportWithoutHistory: () => void
-    resolverRef: React.MutableRefObject<((value: string) => void) | null>
-    drawioRef: React.MutableRefObject<DrawIoEmbedRef | null>
+    resolverRef: React.Ref<((value: string) => void) | null>
+    drawioRef: React.Ref<DrawIoEmbedRef | null>
    handleDiagramExport: (data: any) => void
-    handleDiagramAutoSave: (data: { xml?: string }) => void
    clearDiagram: () => void
    saveDiagramToFile: (
        filename: string,
@@ -57,6 +56,8 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
    const pngResolverRef = useRef<((value: string) => void) | null>(null)
    // Track if we're expecting an export for history (user-initiated)
    const expectHistoryExportRef = useRef<boolean>(false)
+    // Track if diagram has been restored after DrawIO remount (e.g., theme change)
+    const hasDiagramRestoredRef = useRef<boolean>(false)
    // Track latest chartXML for restoration after remount
    const chartXMLRef = useRef<string>("")

@@ -78,19 +79,22 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
    }, [chartXML])

    // Restore diagram when DrawIO becomes ready after remount (e.g., theme/UI change)
-    // Also restore when chartXML changes while DrawIO is ready (e.g., session loaded after iframe ready)
-    const lastRestoredXmlRef = useRef<string>("")
    useEffect(() => {
-        if (!isDrawioReady || !drawioRef.current) return
-        // Only load if we have a real diagram and it's different from what we already loaded
-        if (
-            isRealDiagram(chartXML) &&
-            chartXML !== lastRestoredXmlRef.current
-        ) {
-            lastRestoredXmlRef.current = chartXML
-            drawioRef.current.load({ xml: chartXML })
+        // Reset restore flag when DrawIO is not ready (preparing for next restore cycle)
+        if (!isDrawioReady) {
+            hasDiagramRestoredRef.current = false
+            return
        }
-    }, [isDrawioReady, chartXML])
+        // Only restore once per ready cycle
+        if (hasDiagramRestoredRef.current) return
+        hasDiagramRestoredRef.current = true
+
+        // Restore diagram from ref if we have one
+        const xmlToRestore = chartXMLRef.current
+        if (isRealDiagram(xmlToRestore) && drawioRef.current) {
+            drawioRef.current.load({ xml: xmlToRestore })
+        }
+    }, [isDrawioReady])

    // Track if we're expecting an export for file save (stores raw export data)
    const saveResolverRef = useRef<{
@@ -263,11 +267,6 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
        }
    }

-    const handleDiagramAutoSave = (data: { xml?: string }) => {
-        if (!data?.xml) return
-        setChartXML(data.xml)
-    }
-
    const clearDiagram = () => {
        const emptyDiagram = `<mxfile><diagram name="Page-1" id="page-1"><mxGraphModel><root><mxCell id="0"/><mxCell id="1" parent="0"/></root></mxGraphModel></diagram></mxfile>`
        // Skip validation for trusted internal template (loadDiagram also sets chartXML)
@@ -392,7 +391,6 @@ export function DiagramProvider({ children }: { children: React.ReactNode }) {
                resolverRef,
                drawioRef,
                handleDiagramExport,
-                handleDiagramAutoSave,
                clearDiagram,
                saveDiagramToFile,
                getThumbnailSvg,
--- a/docs/cn/README_CN.md
+++ b/docs/cn/README_CN.md
@@ -19,7 +19,9 @@

 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/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio) 的赞助支持，本项目的 Demo 现已接入强大的 glm-4.7 模型！
+
+<a href="https://www.volcengine.com/activity/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio" target="_blank"><img src="../../public/volcengine-invite.png" alt="火山引擎方舟 Coding Plan" width="300" /></a>

 https://github.com/user-attachments/assets/b2eef5f3-b335-4e71-a755-dc2e80931979

@@ -195,7 +197,7 @@ 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/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio)
 -   AWS Bedrock（默认）
 -   OpenAI
 -   Anthropic
@@ -236,7 +238,7 @@ 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/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio)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！

--- a/docs/cn/ai-providers.md
+++ b/docs/cn/ai-providers.md
@@ -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/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio) 注册，即可获得所有模型 50 万免费 Token！

 ```bash
 DOUBAO_API_KEY=your_api_key
@@ -207,6 +207,85 @@ AI_MODEL=openai/gpt-4o

 从 [Vercel AI Gateway 仪表板](https://vercel.com/ai-gateway) 获取您的 API 密钥。

+### MiniMax
+
+MiniMax 支持两种 API 格式：
+- **Anthropic 兼容**（`/anthropic` 端点）— 推荐，支持 interleaved thinking
+- **OpenAI 兼容**（`/v1` 端点）— 标准 OpenAI 聊天补全格式
+
+```bash
+MINIMAX_API_KEY=your_api_key
+AI_MODEL=MiniMax-M2.7
+```
+
+可选配置：
+
+```bash
+# 中国大陆版，Anthropic 兼容（默认）
+MINIMAX_BASE_URL=https://api.minimaxi.com/anthropic
+
+# 中国大陆版，OpenAI 兼容
+MINIMAX_BASE_URL=https://api.minimaxi.com/v1
+
+# 国际版，Anthropic 兼容
+MINIMAX_BASE_URL=https://api.minimax.io/anthropic
+
+# 国际版，OpenAI 兼容
+MINIMAX_BASE_URL=https://api.minimax.io/v1
+```
+
+### GLM (智谱 AI)
+
+```bash
+GLM_API_KEY=your_api_key
+AI_MODEL=glm-4
+```
+
+可选的自定义端点：
+
+```bash
+GLM_BASE_URL=https://your-custom-endpoint
+```
+
+### Qwen (阿里云通义千问)
+
+```bash
+QWEN_API_KEY=your_api_key
+AI_MODEL=qwen-turbo
+```
+
+可选的自定义端点：
+
+```bash
+QWEN_BASE_URL=https://your-custom-endpoint
+```
+
+### Kimi (月之暗面 Moonshot AI)
+
+```bash
+KIMI_API_KEY=your_api_key
+AI_MODEL=kimi-latest
+```
+
+可选的自定义端点：
+
+```bash
+KIMI_BASE_URL=https://your-custom-endpoint
+```
+
+### Qiniu (七牛云)
+
+```bash
+QINIU_API_KEY=your_api_key
+AI_MODEL=your_model_id
+```
+
+可选的自定义端点：
+
+```bash
+QINIU_BASE_URL=https://your-custom-endpoint
+```
+
 ## 自动检测

 如果您只配置了**一个**提供商的 API 密钥，系统将自动检测并使用该提供商。无需设置 `AI_PROVIDER`。
@@ -214,7 +293,7 @@ AI_MODEL=openai/gpt-4o
 如果您配置了**多个** API 密钥，则必须显式设置 `AI_PROVIDER`：

 ```bash
-AI_PROVIDER=google  # 或：openai, anthropic, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang
+AI_PROVIDER=google  # 或：openai, anthropic, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang, modelscope, minimax, glm, qwen, kimi, qiniu
 ```

 ## 服务端多模型配置
--- a/docs/en/ai-providers.md
+++ b/docs/en/ai-providers.md
@@ -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/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio) to get 500K free tokens for all models!

 ```bash
 DOUBAO_API_KEY=your_api_key
@@ -222,6 +222,85 @@ Model format uses `provider/model` syntax:

 Get your API key from the [Vercel AI Gateway dashboard](https://vercel.com/ai-gateway).

+### MiniMax
+
+MiniMax supports two API formats:
+- **Anthropic-compatible** (`/anthropic` endpoint) — recommended, supports interleaved thinking
+- **OpenAI-compatible** (`/v1` endpoint) — standard OpenAI chat completions format
+
+```bash
+MINIMAX_API_KEY=your_api_key
+AI_MODEL=MiniMax-M2.7
+```
+
+Optional configuration:
+
+```bash
+# China mainland, Anthropic-compatible (default)
+MINIMAX_BASE_URL=https://api.minimaxi.com/anthropic
+
+# China mainland, OpenAI-compatible
+MINIMAX_BASE_URL=https://api.minimaxi.com/v1
+
+# International, Anthropic-compatible
+MINIMAX_BASE_URL=https://api.minimax.io/anthropic
+
+# International, OpenAI-compatible
+MINIMAX_BASE_URL=https://api.minimax.io/v1
+```
+
+### GLM (Zhipu AI)
+
+```bash
+GLM_API_KEY=your_api_key
+AI_MODEL=glm-4
+```
+
+Optional custom endpoint:
+
+```bash
+GLM_BASE_URL=https://your-custom-endpoint
+```
+
+### Qwen (Alibaba Cloud)
+
+```bash
+QWEN_API_KEY=your_api_key
+AI_MODEL=qwen-turbo
+```
+
+Optional custom endpoint:
+
+```bash
+QWEN_BASE_URL=https://your-custom-endpoint
+```
+
+### Kimi (Moonshot AI)
+
+```bash
+KIMI_API_KEY=your_api_key
+AI_MODEL=kimi-latest
+```
+
+Optional custom endpoint:
+
+```bash
+KIMI_BASE_URL=https://your-custom-endpoint
+```
+
+### Qiniu (Qiniu Cloud)
+
+```bash
+QINIU_API_KEY=your_api_key
+AI_MODEL=your_model_id
+```
+
+Optional custom endpoint:
+
+```bash
+QINIU_BASE_URL=https://your-custom-endpoint
+```
+
 ## Auto-Detection

 If you only configure **one** provider's API key, the system will automatically detect and use that provider. No need to set `AI_PROVIDER`.
@@ -229,7 +308,7 @@ If you only configure **one** provider's API key, the system will automatically
 If you configure **multiple** API keys, you must explicitly set `AI_PROVIDER`:

 ```bash
-AI_PROVIDER=google  # or: openai, anthropic, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang, modelscope
+AI_PROVIDER=google  # or: openai, anthropic, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang, modelscope, minimax, glm, qwen, kimi, qiniu
 ```

 ## Server-Side Multi-Model Configuration
--- a/docs/ja/README_JA.md
+++ b/docs/ja/README_JA.md
@@ -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/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio) のご支援により、デモサイトに強力な glm-4.7 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/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio)
 -   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/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio)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！

--- a/docs/ja/ai-providers.md
+++ b/docs/ja/ai-providers.md
@@ -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/codingplan?ac=MMAP8JTTCAQ2&rc=Z9Z3LDTJ&utm_campaign=drawio&utm_content=drawio&utm_medium=devrel&utm_source=OWO&utm_term=drawio)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
@@ -207,6 +207,85 @@ AI_MODEL=openai/gpt-4o

 [Vercel AI Gateway ダッシュボード](https://vercel.com/ai-gateway)から API キーを取得してください。

+### MiniMax
+
+MiniMax は 2 つの API 形式をサポートしています：
+- **Anthropic 互換**（`/anthropic` エンドポイント）— 推奨、インターリーブ思考をサポート
+- **OpenAI 互換**（`/v1` エンドポイント）— 標準 OpenAI チャット補完形式
+
+```bash
+MINIMAX_API_KEY=your_api_key
+AI_MODEL=MiniMax-M2.7
+```
+
+オプション設定：
+
+```bash
+# 中国大陸版、Anthropic 互換（デフォルト）
+MINIMAX_BASE_URL=https://api.minimaxi.com/anthropic
+
+# 中国大陸版、OpenAI 互換
+MINIMAX_BASE_URL=https://api.minimaxi.com/v1
+
+# 国際版、Anthropic 互換
+MINIMAX_BASE_URL=https://api.minimax.io/anthropic
+
+# 国際版、OpenAI 互換
+MINIMAX_BASE_URL=https://api.minimax.io/v1
+```
+
+### GLM (Zhipu AI)
+
+```bash
+GLM_API_KEY=your_api_key
+AI_MODEL=glm-4
+```
+
+オプションのカスタムエンドポイント：
+
+```bash
+GLM_BASE_URL=https://your-custom-endpoint
+```
+
+### Qwen (Alibaba Cloud)
+
+```bash
+QWEN_API_KEY=your_api_key
+AI_MODEL=qwen-turbo
+```
+
+オプションのカスタムエンドポイント：
+
+```bash
+QWEN_BASE_URL=https://your-custom-endpoint
+```
+
+### Kimi (Moonshot AI)
+
+```bash
+KIMI_API_KEY=your_api_key
+AI_MODEL=kimi-latest
+```
+
+オプションのカスタムエンドポイント：
+
+```bash
+KIMI_BASE_URL=https://your-custom-endpoint
+```
+
+### Qiniu (Qiniu Cloud)
+
+```bash
+QINIU_API_KEY=your_api_key
+AI_MODEL=your_model_id
+```
+
+オプションのカスタムエンドポイント：
+
+```bash
+QINIU_BASE_URL=https://your-custom-endpoint
+```
+
 ## 自動検出

 **1つ**のプロバイダーの API キーのみを設定した場合、システムはそのプロバイダーを自動的に検出して使用します。`AI_PROVIDER` を設定する必要はありません。
@@ -214,7 +293,7 @@ AI_MODEL=openai/gpt-4o
 **複数**の API キーを設定する場合は、`AI_PROVIDER` を明示的に設定する必要があります:

 ```bash
-AI_PROVIDER=google  # または: openai, anthropic, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang
+AI_PROVIDER=google  # または: openai, anthropic, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang, modelscope, minimax, glm, qwen, kimi, qiniu
 ```

 ## サーバーサイドマルチモデル設定
--- a/docs/shape-libraries/material_design.md
+++ b/docs/shape-libraries/material_design.md
@@ -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)
--- a/electron/electron-builder.yml
+++ b/electron/electron-builder.yml
@@ -10,8 +10,13 @@ directories:
 afterPack: ./scripts/afterPack.cjs

 files:
-  - dist-electron/**/*
-  - "!node_modules"
+  - from: dist-electron
+    to: dist-electron
+    filter:
+      - "**/*"
+  - from: .
+    filter:
+      - package.json

 asarUnpack:
  - "**/*.node"
--- a/electron/electron.d.ts
+++ b/electron/electron.d.ts
@@ -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>
        }
--- a/electron/main/config-manager.ts
+++ b/electron/main/config-manager.ts
@@ -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)
--- a/electron/main/ipc-handlers.ts
+++ b/electron/main/ipc-handlers.ts
@@ -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 }
--- a/electron/main/menu-i18n.ts
+++ b/electron/main/menu-i18n.ts
@@ -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"
--- a/env.example
+++ b/env.example
@@ -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
@@ -134,3 +135,35 @@ AI_MODEL=global.anthropic.claude-sonnet-4-5-20250929-v1:0
 # Allow private/internal URLs for reverse proxy setups (default: true)
 # Set to "false" to block private IPs, localhost, and internal hostnames
 # ALLOW_PRIVATE_URLS=false
+
+# Self-hosted deployment (Optional)
+# Self-hosted users may implement custom quota-management solutions,
+# which triggers the client UI to display messages suggesting self-hosting or sponsorship.
+# This switch allows self-hosted users to provide custom messages in response to a 429 code,
+# in messageTokenSelfHosted, messageApiSelfHosted, and tipSelfHosted translation strings.
+# NEXT_PUBLIC_SELFHOSTED=true
+
+# Minimax Configuration (Optional)
+# Get your API key from: https://platform.minimaxi.com/docs/guides/models-intro
+# MINIMAX_API_KEY=your_minimax_api_key
+# MINIMAX_BASE_URL=https://api.minimaxi.com/anthropic  # Optional, default (China mainland)
+
+# GLM Configuration (Optional)
+# Get your API key from: https://open.bigmodel.cn/dev/api
+# GLM_API_KEY=your_glm_api_key
+# GLM_BASE_URL=https://open.bigmodel.cn/api/paas/v4  # Optional, default
+
+# Qwen Configuration (Optional)
+# Get your API key from: https://www.aliyun.com/product/bailian
+# QWEN_API_KEY=your_qwen_api_key
+# QWEN_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1  # Optional, default
+
+# Kimi Configuration (Optional)
+# Get your API key from: https://platform.moonshot.cn/
+# KIMI_API_KEY=your_kimi_api_key
+# KIMI_BASE_URL=https://api.moonshot.cn/v1  # Optional, default
+
+# Qiniu Configuration (Optional)
+# Get your API key from: https://www.qiniu.com/ai/models
+# QINIU_API_KEY=your_qiniu_api_key
+# QINIU_BASE_URL=https://api.qnaigc.com/v1  # Optional, default
--- a/hooks/use-model-config.ts
+++ b/hooks/use-model-config.ts
@@ -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(
--- a/lib/ai-providers.ts
+++ b/lib/ai-providers.ts
@@ -9,7 +9,7 @@ import { createOpenAI, openai } from "@ai-sdk/openai"
 import { fromNodeProviderChain } from "@aws-sdk/credential-providers"
 import { createOpenRouter } from "@openrouter/ai-sdk-provider"
 import { createOllama, ollama } from "ollama-ai-provider-v2"
-import type { ProviderName } from "@/lib/types/model-config"
+import { PROVIDER_INFO, type ProviderName } from "@/lib/types/model-config"

 export type { ProviderName }

@@ -18,6 +18,42 @@ interface ModelConfig {
    providerOptions?: any
    headers?: Record<string, string>
    modelId: string
+    provider: ProviderName
+}
+
+// Providers that only support a single system message
+export const SINGLE_SYSTEM_PROVIDERS = new Set<ProviderName>([
+    "minimax",
+    "glm",
+    "qwen",
+    "kimi",
+    "qiniu",
+])
+
+/**
+ * Normalize MiniMax base URL for AI SDK compatibility.
+ * MiniMax supports Anthropic-compatible and OpenAI-compatible endpoints.
+ */
+export function normalizeMiniMaxBaseURL(rawUrl: string): {
+    baseURL: string
+    isAnthropicCompatible: boolean
+} {
+    const isAnthropicCompatible = rawUrl.includes("/anthropic")
+    let baseURL = rawUrl.replace(/\/$/, "")
+    if (isAnthropicCompatible) {
+        if (!baseURL.endsWith("/anthropic/v1")) {
+            if (baseURL.endsWith("/anthropic")) {
+                baseURL = `${baseURL}/v1`
+            } else {
+                baseURL = `${baseURL}/anthropic/v1`
+            }
+        }
+    } else {
+        if (!baseURL.endsWith("/v1")) {
+            baseURL = `${baseURL}/v1`
+        }
+    }
+    return { baseURL, isAnthropicCompatible }
 }

 export interface ClientOverrides {
@@ -34,12 +70,13 @@ 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",
@@ -53,8 +90,14 @@ const ALLOWED_CLIENT_PROVIDERS: ProviderName[] = [
    "sglang",
    "gateway",
    "edgeone",
+    "ollama",
    "doubao",
    "modelscope",
+    "glm",
+    "qwen",
+    "qiniu",
+    "kimi",
+    "minimax",
 ]

 // Bedrock provider options for Anthropic beta features
@@ -98,10 +141,12 @@ 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 +154,30 @@ 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]
 }

@@ -447,7 +515,12 @@ function buildProviderOptions(
        case "sglang":
        case "gateway":
        case "modelscope":
-        case "doubao": {
+        case "doubao":
+        case "minimax":
+        case "glm":
+        case "qwen":
+        case "kimi":
+        case "qiniu": {
            // These providers don't have reasoning configs in AI SDK yet
            // Gateway passes through to underlying providers which handle their own configs
            break
@@ -477,6 +550,11 @@ const PROVIDER_ENV_VARS: Record<ProviderName, string | null> = {
    edgeone: null, // No credentials needed - uses EdgeOne Edge AI
    doubao: "DOUBAO_API_KEY",
    modelscope: "MODELSCOPE_API_KEY",
+    glm: "GLM_API_KEY",
+    qwen: "QWEN_API_KEY",
+    qiniu: "QINIU_API_KEY",
+    kimi: "KIMI_API_KEY",
+    minimax: "MINIMAX_API_KEY",
 }

 /**
@@ -515,12 +593,24 @@ 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 +647,7 @@ 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 +662,15 @@ 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 +929,27 @@ 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")
@@ -1119,9 +1223,69 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
            break
        }

+        case "minimax": {
+            const apiKey = resolveApiKey(overrides, "MINIMAX_API_KEY")
+            const serverBaseUrl = resolveBaseUrlEnv(
+                overrides,
+                "MINIMAX_BASE_URL",
+            )
+            const rawBaseURL = resolveBaseURL(
+                overrides?.apiKey,
+                overrides?.baseUrl,
+                serverBaseUrl,
+                PROVIDER_INFO.minimax.defaultBaseUrl,
+            )
+
+            if (!rawBaseURL) {
+                throw new Error(
+                    "MiniMax base URL could not be resolved. Set MINIMAX_BASE_URL or configure a base URL in settings.",
+                )
+            }
+
+            const { baseURL, isAnthropicCompatible } =
+                normalizeMiniMaxBaseURL(rawBaseURL)
+
+            if (isAnthropicCompatible) {
+                const minimax = createAnthropic({ apiKey, baseURL })
+                model = minimax.chat(modelId)
+            } else {
+                const minimax = createOpenAI({ apiKey, baseURL })
+                model = minimax.chat(modelId)
+            }
+            break
+        }
+
+        case "glm":
+        case "qwen":
+        case "qiniu":
+        case "kimi": {
+            const envVar = PROVIDER_ENV_VARS[provider]
+            if (!envVar) {
+                throw new Error(
+                    `API key environment variable not defined for provider: ${provider}`,
+                )
+            }
+            const apiKey = resolveApiKey(overrides, envVar)
+            const baseURL = resolveBaseURL(
+                overrides?.apiKey,
+                overrides?.baseUrl,
+                resolveBaseUrlEnv(
+                    overrides,
+                    `${provider.toUpperCase()}_BASE_URL`,
+                ),
+                PROVIDER_INFO[provider]?.defaultBaseUrl,
+            )
+            const customProvider = createOpenAI({
+                apiKey,
+                baseURL,
+            })
+            model = customProvider.chat(modelId)
+            break
+        }
+
        default:
            throw new Error(
-                `Unknown AI provider: ${provider}. Supported providers: bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow, sglang, gateway, edgeone, doubao, modelscope`,
+                `Unknown AI provider: ${provider}. Supported providers: bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow, sglang, gateway, edgeone, doubao, modelscope, glm, qwen, qiniu, kimi, minimax`,
            )
    }

@@ -1130,7 +1294,7 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
        providerOptions = customProviderOptions
    }

-    return { model, providerOptions, headers, modelId }
+    return { model, providerOptions, headers, modelId, provider }
 }

 /**
@@ -1159,8 +1323,25 @@ 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
+    }
+
+    // Moonshot text models (moonshot-v1 series are text-only)
+    if (lowerModelId.includes("moonshot-v1") && !hasVisionIndicator) {
+        return false
+    }
+
+    // MiniMax text models (MiniMax-M2.x series are text-only)
+    if (lowerModelId.includes("minimax") && !hasVisionIndicator) {
        return false
    }

@@ -1170,10 +1351,24 @@ 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") &&
+        !lowerModelId.includes("qwen3.5-flash")
+    ) {
        return false
    }

+    // GLM text models (not vision variants)
+    // GLM vision models: glm-4v, glm-4v-9b, glm-4.1v-9b-thinking
+    if (lowerModelId.includes("glm") && !hasVisionIndicator) {
+        if (!/[\d.]v/.test(lowerModelId)) {
+            return false
+        }
+    }
+
    // Default: assume model supports images
    return true
 }
--- a/lib/i18n/config.ts
+++ b/lib/i18n/config.ts
@@ -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]
--- a/lib/i18n/dictionaries.ts
+++ b/lib/i18n/dictionaries.ts
@@ -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"]>>
--- a/lib/i18n/dictionaries/en.json
+++ b/lib/i18n/dictionaries/en.json
@@ -29,12 +29,17 @@
        "openrouter": "OpenRouter",
        "deepseek": "DeepSeek",
        "siliconflow": "SiliconFlow",
-        "modelscope": "ModelScope"
+        "modelscope": "ModelScope",
+        "minimax": "MiniMax",
+        "glm": "GLM",
+        "qwen": "Qwen",
+        "kimi": "Kimi",
+        "qiniu": "Qiniu"
    },
    "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 +82,8 @@
    "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.",
@@ -119,7 +126,10 @@
        "diagramValidation": "Diagram Validation (Experimental)",
        "diagramValidationDescription": "Use a vision language model to validate generated diagrams. Requires a VLM like GPT-5.2 or Sonnet-4.5.",
        "enabled": "Enabled",
-        "disabled": "Disabled"
+        "disabled": "Disabled",
+        "customSystemMessage": "Custom System Message",
+        "customSystemMessageDescription": "Add custom instructions appended to the AI's system prompt.",
+        "customSystemMessagePlaceholder": "e.g., Always use blue color scheme for diagrams..."
    },
    "save": {
        "title": "Save Diagram",
@@ -177,8 +187,11 @@
        "tpmMessage": "Too many requests. Please wait a moment.",
        "tpmMessageDetailed": "Rate limit reached ({limit} tokens/min). Please wait {seconds} seconds before sending another request.",
        "messageApi": "Looks like you've reached today's demo limit. We're thrilled you're enjoying it, and while ByteDance Doubao generously sponsors this demo, we've had to set a few boundaries to keep things fair for everyone.",
+        "messageApiSelfHosted": null,
        "messageToken": "Looks like you've reached today's token limit. We're thrilled you're enjoying it, and while ByteDance Doubao generously sponsors this demo, we've had to set a few boundaries to keep things fair for everyone.",
+        "messageTokenSelfHosted": null,
        "tip": "<strong>Tip:</strong> You can use your own API key (click the Settings icon) or self-host the project to bypass these limits.",
+        "tipSelfHosted": "<strong>Tip:</strong> You can configure your own API key in the settings to continue using the service.",
        "reset": "Your limit resets tomorrow. Thanks for understanding.",
        "doubaoSponsorship": "<a href=\"{link}\" target=\"_blank\" rel=\"noopener noreferrer\" class=\"underline hover:text-foreground\">Register here</a> to get 500K free tokens per model (including Doubao, DeepSeek and Kimi), then configure your API key in model settings.",
        "configModel": "Use Your API Key",
@@ -304,6 +317,7 @@
        "optional": "(optional)",
        "baseUrlWithExample": "Base URL (optional, e.g. {example})",
        "customEndpoint": "Custom endpoint URL",
+        "minimaxBaseUrlHint": "Use /anthropic for Anthropic-compatible API (recommended), or /v1 for OpenAI-compatible API",
        "models": "Models",
        "customModelId": "Custom model ID...",
        "allAdded": "All added",
--- a/lib/i18n/dictionaries/ja.json
+++ b/lib/i18n/dictionaries/ja.json
@@ -29,12 +29,17 @@
        "openrouter": "OpenRouter",
        "deepseek": "DeepSeek",
        "siliconflow": "SiliconFlow",
-        "modelscope": "ModelScope"
+        "modelscope": "ModelScope",
+        "minimax": "MiniMax",
+        "glm": "GLM",
+        "qwen": "Qwen",
+        "kimi": "Kimi",
+        "qiniu": "Qiniu"
    },
    "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 +82,8 @@
    "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。",
@@ -119,7 +126,10 @@
        "diagramValidation": "ダイアグラム検証（実験的）",
        "diagramValidationDescription": "視覚言語モデルを使用して生成されたダイアグラムを検証します。GPT-5.2 や Sonnet-4.5 などの VLM が必要です。",
        "enabled": "有効",
-        "disabled": "無効"
+        "disabled": "無効",
+        "customSystemMessage": "カスタムシステムメッセージ",
+        "customSystemMessageDescription": "AIのシステムプロンプトに追加されるカスタム指示を入力します。",
+        "customSystemMessagePlaceholder": "例：ダイアグラムには常に青色のカラースキームを使用..."
    },
    "save": {
        "title": "ダイアグラムを保存",
@@ -177,8 +187,11 @@
        "tpmMessage": "リクエストが多すぎます。しばらくお待ちください。",
        "tpmMessageDetailed": "レート制限に達しました（{limit}トークン/分）。{seconds}秒待ってからもう一度リクエストしてください。",
        "messageApi": "今日のデモ利用上限に達してしまったようです。楽しんでいただけて本当に嬉しいです。このデモはByteDance Doubaoのご厚意により提供されていますが、皆様に公平にご利用いただくため、少し制限を設けさせていただいております。",
+        "messageApiSelfHosted": null,
        "messageToken": "今日のトークン利用上限に達してしまったようです。楽しんでいただけて本当に嬉しいです。このデモはByteDance Doubaoのご厚意により提供されていますが、皆様に公平にご利用いただくため、少し制限を設けさせていただいております。",
+        "messageTokenSelfHosted": null,
        "tip": "<strong>ヒント：</strong>独自の API キーを使用する（設定アイコンをクリック）か、プロジェクトをセルフホストしてこれらの制限を回避できます。",
+        "tipSelfHosted": "<strong>ヒント：</strong>設定で独自の API キーを設定することで、引き続きサービスをご利用いただけます。",
        "reset": "制限は明日リセットされます。ご理解ありがとうございます。",
        "doubaoSponsorship": "<a href=\"{link}\" target=\"_blank\" rel=\"noopener noreferrer\" class=\"underline hover:text-foreground\">こちらから登録</a>すると、各モデル（Doubao、DeepSeek、Kimi含む）で50万トークンを無料で取得できます。モデル設定でAPIキーを設定してください。",
        "configModel": "APIキーを使用",
@@ -304,6 +317,7 @@
        "optional": "（オプション）",
        "baseUrlWithExample": "ベース URL（オプション、例: {example}）",
        "customEndpoint": "カスタムエンドポイント URL",
+        "minimaxBaseUrlHint": "/anthropic で Anthropic 互換 API（推奨）、または /v1 で OpenAI 互換 API を使用",
        "models": "モデル",
        "customModelId": "カスタムモデル ID...",
        "allAdded": "すべて追加済み",
--- a/lib/i18n/dictionaries/zh-Hant.json
+++ b/lib/i18n/dictionaries/zh-Hant.json
@@ -0,0 +1,354 @@
+{
+    "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",
+        "minimax": "MiniMax",
+        "glm": "GLM",
+        "qwen": "Qwen",
+        "kimi": "Kimi",
+        "qiniu": "Qiniu"
+    },
+    "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",
+        "customSystemMessage": "自訂系統訊息",
+        "customSystemMessageDescription": "新增自訂指示，將附加到 AI 的系統提示末尾。",
+        "customSystemMessagePlaceholder": "例如：圖表始終使用藍色配色方案..."
+    },
+    "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。",
+        "messageApiSelfHosted": null,
+        "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。",
+        "messageTokenSelfHosted": null,
+        "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。",
+        "tipSelfHosted": "<strong>提示：</strong>您可以在設定中配置自己的 API 金鑰以繼續使用服務。",
+        "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",
+        "minimaxBaseUrlHint": "使用 /anthropic 端點為 Anthropic 相容 API（推薦），或使用 /v1 端點為 OpenAI 相容 API",
+        "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"
+    }
+}
--- a/lib/i18n/dictionaries/zh.json
+++ b/lib/i18n/dictionaries/zh.json
@@ -29,12 +29,17 @@
        "openrouter": "OpenRouter",
        "deepseek": "DeepSeek",
        "siliconflow": "SiliconFlow",
-        "modelscope": "ModelScope"
+        "modelscope": "ModelScope",
+        "minimax": "MiniMax",
+        "glm": "GLM",
+        "qwen": "Qwen",
+        "kimi": "Kimi",
+        "qiniu": "Qiniu"
    },
    "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 +82,8 @@
    "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。",
@@ -119,7 +126,10 @@
        "diagramValidation": "图表验证（实验性）",
        "diagramValidationDescription": "使用视觉语言模型验证生成的图表。需要支持视觉的模型，如 GPT-5.2 或 Sonnet-4.5。",
        "enabled": "已启用",
-        "disabled": "已禁用"
+        "disabled": "已禁用",
+        "customSystemMessage": "自定义系统消息",
+        "customSystemMessageDescription": "添加自定义指令，将附加到 AI 的系统提示末尾。",
+        "customSystemMessagePlaceholder": "例如：图表始终使用蓝色配色方案..."
    },
    "save": {
        "title": "保存图表",
@@ -177,8 +187,11 @@
        "tpmMessage": "请求过多。请稍等片刻。",
        "tpmMessageDetailed": "达到速率限制（{limit} 令牌/分钟）。请等待 {seconds} 秒后再发送请求。",
        "messageApi": "看来您今天的体验次数已达上限。非常高兴您玩得开心，虽然本项目由字节跳动豆包慷慨赞助，但为了确保大家都能公平使用，我们不得不对使用量做一点小小的限制。",
+        "messageApiSelfHosted": null,
        "messageToken": "看来您今天的 Token 用量已达上限。非常高兴您玩得开心，虽然本项目由字节跳动豆包慷慨赞助，但为了确保大家都能公平使用，我们不得不对使用量做一点小小的限制。",
+        "messageTokenSelfHosted": null,
        "tip": "<strong>提示：</strong>您可以使用自己的 API 密钥（点击设置图标）或自托管项目来绕过这些限制。",
+        "tipSelfHosted": "<strong>提示：</strong>您可以在设置中配置自己的 API 密钥以继续使用服务。",
        "reset": "您的限制将在明天重置。感谢您的理解。",
        "doubaoSponsorship": "<a href=\"{link}\" target=\"_blank\" rel=\"noopener noreferrer\" class=\"underline hover:text-foreground\">点击此处注册</a>可获得每个模型 50 万免费 Token（包括豆包、DeepSeek 和 Kimi），然后在模型设置中配置您的 API Key。",
        "configModel": "使用您的密钥",
@@ -304,6 +317,7 @@
        "optional": "（可选）",
        "baseUrlWithExample": "基础 URL（可选，例如 {example}）",
        "customEndpoint": "自定义端点 URL",
+        "minimaxBaseUrlHint": "使用 /anthropic 端点为 Anthropic 兼容 API（推荐），或使用 /v1 端点为 OpenAI 兼容 API",
        "models": "模型",
        "customModelId": "自定义模型 ID...",
        "allAdded": "已全部添加",
--- a/lib/server-model-config.ts
+++ b/lib/server-model-config.ts
@@ -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
 }

--- a/lib/session-storage.ts
+++ b/lib/session-storage.ts
@@ -75,19 +75,6 @@ export function isIndexedDBAvailable(): boolean {
    }
 }

-// Check if IndexedDB is actually usable (not just present).
-// Note: Do NOT close the db here - getDB() returns a shared singleton connection
-// that other code depends on.
-export async function isIndexedDBUsable(): Promise<boolean> {
-    if (!isIndexedDBAvailable()) return false
-    try {
-        await getDB()
-        return true
-    } catch {
-        return false
-    }
-}
-
 // CRUD Operations
 export async function getAllSessionMetadata(): Promise<SessionMetadata[]> {
    if (!isIndexedDBAvailable()) return []
--- a/lib/storage.ts
+++ b/lib/storage.ts
@@ -27,4 +27,7 @@ export const STORAGE_KEYS = {

    // Diagram validation
    vlmValidationEnabled: "next-ai-draw-io-vlm-validation-enabled",
+
+    // Custom system message
+    customSystemMessage: "next-ai-draw-io-custom-system-message",
 } as const
--- a/lib/system-prompts.ts
+++ b/lib/system-prompts.ts
@@ -51,9 +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---

@@ -61,7 +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
@@ -92,7 +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:
--- a/lib/types/model-config.ts
+++ b/lib/types/model-config.ts
@@ -16,6 +16,11 @@ export type ProviderName =
    | "edgeone"
    | "doubao"
    | "modelscope"
+    | "glm"
+    | "qwen"
+    | "qiniu"
+    | "kimi"
+    | "minimax"

 // Individual model configuration
 export interface ModelConfig {
@@ -73,11 +78,31 @@ 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
 }

+// Map provider names to models.dev logo names
+export const PROVIDER_LOGO_MAP: Record<string, string> = {
+    openai: "openai",
+    anthropic: "anthropic",
+    google: "google",
+    azure: "azure",
+    bedrock: "amazon-bedrock",
+    openrouter: "openrouter",
+    deepseek: "deepseek",
+    siliconflow: "siliconflow",
+    sglang: "openai", // SGLang is OpenAI-compatible
+    gateway: "vercel",
+    edgeone: "tencent-cloud",
+    vertexai: "google",
+    doubao: "bytedance",
+    modelscope: "modelscope",
+    minimax: "minimax",
+}
+
 // Provider metadata
 export const PROVIDER_INFO: Record<
    ProviderName,
@@ -103,7 +128,7 @@ export const PROVIDER_INFO: Record<
    bedrock: { label: "Amazon Bedrock" },
    ollama: {
        label: "Ollama",
-        defaultBaseUrl: "http://localhost:11434",
+        defaultBaseUrl: "https://ollama.com/api",
    },
    openrouter: {
        label: "OpenRouter",
@@ -134,6 +159,26 @@ export const PROVIDER_INFO: Record<
        label: "ModelScope",
        defaultBaseUrl: "https://api-inference.modelscope.cn/v1",
    },
+    glm: {
+        label: "GLM (Zhipu)",
+        defaultBaseUrl: "https://open.bigmodel.cn/api/paas/v4",
+    },
+    qwen: {
+        label: "Qwen (Alibaba)",
+        defaultBaseUrl: "https://dashscope.aliyuncs.com/compatible-mode/v1",
+    },
+    qiniu: {
+        label: "Qiniu",
+        defaultBaseUrl: "https://api.qnaigc.com/v1",
+    },
+    kimi: {
+        label: "Kimi (Moonshot)",
+        defaultBaseUrl: "https://api.moonshot.cn/v1",
+    },
+    minimax: {
+        label: "MiniMax",
+        defaultBaseUrl: "https://api.minimaxi.com/anthropic",
+    },
 }

 // Suggested models per provider for quick add
@@ -263,6 +308,7 @@ 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
@@ -292,10 +338,18 @@ 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",
    ],
+    minimax: [
+        // MiniMax models (Anthropic-compatible API)
+        "MiniMax-M2.7",
+        "MiniMax-M2.7-highspeed",
+        "MiniMax-M2.5",
+        "MiniMax-M2.5-highspeed",
+    ],
 }

 // Helper to generate UUID
--- a/lib/url-utils.ts
+++ b/lib/url-utils.ts
@@ -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 }),
--- a/package-lock.json
+++ b/package-lock.json
--- a/package.json
+++ b/package.json
@@ -1,6 +1,6 @@
 {
    "name": "next-ai-draw-io",
-    "version": "0.4.12",
+    "version": "0.4.13",
    "license": "Apache-2.0",
    "private": true,
    "main": "dist-electron/main/index.js",
@@ -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": "^1.17.1",
        "@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": "^0.212.0",
        "@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": "^0.575.0",
        "motion": "^12.23.25",
        "nanoid": "^5.0.0",
        "negotiator": "^1.0.0",
@@ -108,7 +108,7 @@
    },
    "devDependencies": {
        "@anthropic-ai/tokenizer": "^0.0.4",
-        "@biomejs/biome": "^2.3.10",
+        "@biomejs/biome": "2.4.4",
        "@playwright/test": "^1.57.0",
        "@tailwindcss/postcss": "^4",
        "@tailwindcss/typography": "^0.5.19",
@@ -128,8 +128,8 @@
        "electron": "^39.2.7",
        "electron-builder": "^26.0.12",
        "esbuild": "^0.27.2",
-        "eslint": "9.39.2",
-        "eslint-config-next": "16.1.1",
+        "eslint": "9.39.3",
+        "eslint-config-next": "16.1.6",
        "husky": "^9.1.7",
        "jsdom": "^27.4.0",
        "lint-staged": "^16.2.7",
--- a/packages/mcp-server/package-lock.json
+++ b/packages/mcp-server/package-lock.json
@@ -1,12 +1,12 @@
 {
    "name": "@next-ai-drawio/mcp-server",
-    "version": "0.1.12",
+    "version": "0.1.17",
    "lockfileVersion": 3,
    "requires": true,
    "packages": {
        "": {
            "name": "@next-ai-drawio/mcp-server",
-            "version": "0.1.12",
+            "version": "0.1.17",
            "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": "1.27.1",
+            "resolved": "https://registry.npmjs.org/@modelcontextprotocol/sdk/-/sdk-1.27.1.tgz",
+            "integrity": "sha512-sr6GbP+4edBwFndLbM60gf07z0FQ79gaExpnsjMGePXqFcSSb7t6iscpjk9DhFhwd+mTEQrzNafGP8/iGGFYaA==",
            "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": "24.11.0",
+            "resolved": "https://registry.npmjs.org/@types/node/-/node-24.11.0.tgz",
+            "integrity": "sha512-fPxQqz4VTgPI/IQ+lj9r0h+fDR66bzoeMGHp8ASee+32OSGIkeASsoZuJixsQoVef1QJbeubcPBxKk22QVoWdw==",
            "dev": true,
            "license": "MIT",
            "dependencies": {
@@ -1034,7 +1035,6 @@
            "resolved": "https://registry.npmjs.org/express/-/express-5.2.1.tgz",
            "integrity": "sha512-hIS4idWWai69NezIdRt2xFVofaF4j+6INOpJlVOLDO8zXGpUVEVzIYk12UUi2JzjEzWL3IOAxcTubgz9Po0yXw==",
            "license": "MIT",
-            "peer": true,
            "dependencies": {
                "accepts": "^2.0.0",
                "body-parser": "^2.2.1",
@@ -1074,10 +1074,13 @@
            }
        },
        "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"
            },
@@ -1260,11 +1263,10 @@
            }
        },
        "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": {
                "node": ">=16.9.0"
            }
@@ -1348,6 +1350,15 @@
            "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",
@@ -2051,19 +2062,18 @@
            }
        },
        "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": {
                "url": "https://github.com/sponsors/colinhacks"
            }
        },
        "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"
--- a/packages/mcp-server/package.json
+++ b/packages/mcp-server/package.json
@@ -1,6 +1,6 @@
 {
    "name": "@next-ai-drawio/mcp-server",
-    "version": "0.1.15",
+    "version": "0.1.17",
    "description": "MCP server for Next AI Draw.io - AI-powered diagram generation with real-time browser preview",
    "type": "module",
    "main": "dist/index.js",
--- a/packages/mcp-server/src/http-server.ts
+++ b/packages/mcp-server/src/http-server.ts
@@ -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
@@ -194,9 +198,12 @@ function handleRequest(
 ): void {
    const url = new URL(req.url || "/", `http://localhost:${serverPort}`)

-    res.setHeader("Access-Control-Allow-Origin", "*")
-    res.setHeader("Access-Control-Allow-Methods", "GET, POST, OPTIONS")
-    res.setHeader("Access-Control-Allow-Headers", "Content-Type")
+    const requestOrigin = req.headers.origin
+    if (requestOrigin === `http://localhost:${serverPort}`) {
+        res.setHeader("Access-Control-Allow-Origin", requestOrigin)
+        res.setHeader("Access-Control-Allow-Methods", "GET, POST, OPTIONS")
+        res.setHeader("Access-Control-Allow-Headers", "Content-Type")
+    }

    if (req.method === "OPTIONS") {
        res.writeHead(204)
@@ -255,6 +262,7 @@ function handleStateApi(
                xml: state?.xml || null,
                version: state?.version || 0,
                syncRequested: !!state?.syncRequested,
+                exportFormat: state?.exportFormat || null,
            }),
        )
    } else if (req.method === "POST") {
@@ -264,13 +272,30 @@ 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 +663,7 @@ 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 +679,23 @@ 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 +775,21 @@ 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 {}
        }

--- a/packages/mcp-server/src/index.ts
+++ b/packages/mcp-server/src/index.ts
@@ -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`,
                    },
                ],
            }
--- a/public/volcengine-invite.png
+++ b/public/volcengine-invite.png
--- a/tests/e2e/history-restore.spec.ts
+++ b/tests/e2e/history-restore.spec.ts
@@ -1,7 +1,6 @@
 import { SINGLE_BOX_XML } from "./fixtures/diagrams"
 import {
    expect,
-    expectBeforeAndAfterReload,
    getChatInput,
    getIframe,
    getIframeContent,
--- a/tests/e2e/iframe-interaction.spec.ts
+++ b/tests/e2e/iframe-interaction.spec.ts
@@ -1,7 +1,6 @@
 import { TEST_NODE_XML } from "./fixtures/diagrams"
 import {
    expect,
-    getChatInput,
    getIframe,
    getIframeContent,
    sendMessage,
--- a/tests/e2e/language.spec.ts
+++ b/tests/e2e/language.spec.ts
@@ -1,6 +1,5 @@
 import {
    expect,
-    expectBeforeAndAfterReload,
    getChatInput,
    getIframe,
    openSettings,
--- a/tests/e2e/multi-turn.spec.ts
+++ b/tests/e2e/multi-turn.spec.ts
@@ -3,7 +3,6 @@ import {
    createMixedMock,
    createMultiTurnMock,
    expect,
-    getChatInput,
    sendMessage,
    test,
    waitForComplete,
--- a/tests/e2e/settings.spec.ts
+++ b/tests/e2e/settings.spec.ts
@@ -1,10 +1,4 @@
-import {
-    expect,
-    getIframe,
-    getSettingsButton,
-    openSettings,
-    test,
-} from "./lib/fixtures"
+import { expect, getIframe, openSettings, test } from "./lib/fixtures"

 test.describe("Settings", () => {
    test.beforeEach(async ({ page }) => {
--- a/tests/unit/ai-providers.test.ts
+++ b/tests/unit/ai-providers.test.ts
@@ -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 +169,24 @@ 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 Moonshot v1 text models", () => {
+        expect(supportsImageInput("moonshot-v1-8k")).toBe(false)
+        expect(supportsImageInput("moonshot-v1-32k")).toBe(false)
+        expect(supportsImageInput("moonshot-v1-128k")).toBe(false)
+    })
+
+    it("returns false for MiniMax text models", () => {
+        expect(supportsImageInput("MiniMax-M2.7")).toBe(false)
+        expect(supportsImageInput("MiniMax-M2.5")).toBe(false)
+        expect(supportsImageInput("MiniMax-M2")).toBe(false)
+        expect(supportsImageInput("MiniMax-M2.5-highspeed")).toBe(false)
+    })
+
    it("returns false for DeepSeek text models", () => {
        expect(supportsImageInput("deepseek-chat")).toBe(false)
        expect(supportsImageInput("deepseek-coder")).toBe(false)
@@ -176,6 +195,30 @@ describe("supportsImageInput", () => {
    it("returns false for Qwen text models", () => {
        expect(supportsImageInput("qwen-turbo")).toBe(false)
        expect(supportsImageInput("qwen-plus")).toBe(false)
+        expect(supportsImageInput("qwen3-max")).toBe(false)
+    })
+
+    it("returns true for Qwen vision models", () => {
+        expect(supportsImageInput("qwen-vl")).toBe(true)
+        expect(supportsImageInput("qwen3.5-plus")).toBe(true)
+        expect(supportsImageInput("qwen3.5-flash")).toBe(true)
+        expect(supportsImageInput("qwen3-vl-plus")).toBe(true)
+        expect(supportsImageInput("qwen3-vl-flash")).toBe(true)
+    })
+
+    it("returns false for GLM text models", () => {
+        expect(supportsImageInput("glm-4")).toBe(false)
+        expect(supportsImageInput("glm-4-plus")).toBe(false)
+        expect(supportsImageInput("glm-4-flash")).toBe(false)
+        expect(supportsImageInput("glm-4-long")).toBe(false)
+        expect(supportsImageInput("glm-4.7")).toBe(false)
+        expect(supportsImageInput("glm-5")).toBe(false)
+    })
+
+    it("returns true for GLM vision models", () => {
+        expect(supportsImageInput("glm-4v")).toBe(true)
+        expect(supportsImageInput("glm-4v-9b")).toBe(true)
+        expect(supportsImageInput("glm-4.1v-9b-thinking")).toBe(true)
    })

    it("returns true for Claude and GPT models by default", () => {
@@ -184,3 +227,120 @@ 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")
+    })
+})
--- a/tests/unit/server-model-config.test.ts
+++ b/tests/unit/server-model-config.test.ts
@@ -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"])
+    })
 })