fix: resolve Electron startup failures on Windows and Linux

- Try legacy port (61337) first to preserve existing users' localStorage, fall back to 13370 which is below the Windows Hyper-V ephemeral range (#705) - Bind server and all URL references to 127.0.0.1 instead of localhost to fix IPv4/IPv6 mismatch on Linux (#684) - Add OS-assigned port fallback (port 0) so startup never throws - Log error codes in port checks for easier debugging - Update localhost guards in index.ts and window-manager.ts to also match 127.0.0.1 Related: #705, #684
2026-09-01 17:10:24 +08:00 · 2026-02-26 22:36:07 +09:00
36 changed files with 6778 additions and 5194 deletions
--- a/.github/CONTRIBUTING.md
+++ b/.github/CONTRIBUTING.md
@@ -47,10 +47,6 @@ 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
@@ -61,12 +57,6 @@ For **significant changes** (new features, architecture changes, large refactors

 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/.gitignore
+++ b/.gitignore
@@ -72,6 +72,3 @@ CLAUDE.md
 .edgeone
 opencode.json
 ai-models.json
-
-# local backups
-*.bak
--- a/6
+++ b/6
@@ -9,7 +9,6 @@ WORKDIR /app
 COPY package.json package-lock.json* ./

 # Install dependencies
-ARG ELECTRON_SKIP_BINARY_DOWNLOAD=1
 RUN npm install

 # Stage 2: Build application
@@ -35,11 +34,6 @@ 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/app/api/chat/route.ts
+++ b/app/api/chat/route.ts
@@ -14,7 +14,6 @@ import path from "path"
 import { z } from "zod"
 import {
    getAIModel,
-    SINGLE_SYSTEM_PROVIDERS,
    supportsImageInput,
    supportsPromptCaching,
 } from "@/lib/ai-providers"
@@ -90,12 +89,7 @@ async function handleChatRequest(req: Request): Promise<Response> {
        }
    }

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

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

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

    // Check if model supports prompt caching
    const shouldCache = supportsPromptCaching(modelId)
@@ -257,9 +246,6 @@ 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 =
@@ -432,57 +418,32 @@ ${userInputText}
    }

    // System messages with multiple cache breakpoints for optimal caching:
-    // - Breakpoint 1: System instructions + custom instructions - changes when user updates custom system message
+    // - Breakpoint 1: Static instructions (~1500 tokens) - rarely changes
    // - Breakpoint 2: Current XML context - changes per diagram, but constant within a conversation turn
-    // 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${xmlContext}`,
-              },
-          ]
-        : [
-              // Cache breakpoint 1: Instructions (+ optional custom instructions)
-              {
-                  role: "system" as const,
-                  content: finalSystemMessage,
-                  ...(shouldCache && {
-                      providerOptions: {
-                          bedrock: { cachePoint: { type: "default" } },
-                      },
-                  }),
-              },
-              // Cache breakpoint 2: Previous and Current diagram XML context
-              {
-                  role: "system" as const,
-                  content: xmlContext,
-                  ...(shouldCache && {
-                      providerOptions: {
-                          bedrock: { cachePoint: { type: "default" } },
-                      },
-                  }),
-              },
-          ]
+    // This allows: if only user message changes, both system caches are reused
+    //              if XML changes, instruction cache is still reused
+    const systemMessages = [
+        // Cache breakpoint 1: Instructions (rarely change)
+        {
+            role: "system" as const,
+            content: systemMessage,
+            ...(shouldCache && {
+                providerOptions: {
+                    bedrock: { cachePoint: { type: "default" } },
+                },
+            }),
+        },
+        // Cache breakpoint 2: Previous and Current diagram XML context
+        {
+            role: "system" as const,
+            content: `${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" } },
+                },
+            }),
+        },
+    ]

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

--- a/app/api/validate-model/route.ts
+++ b/app/api/validate-model/route.ts
@@ -9,9 +9,7 @@ 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"

@@ -321,58 +319,6 @@ 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/2.4.4/schema.json",
+    "$schema": "https://biomejs.dev/schemas/2.3.10/schema.json",
    "vcs": {
        "enabled": true,
        "clientKind": "git",
--- a/components/chat-input.tsx
+++ b/components/chat-input.tsx
@@ -5,6 +5,7 @@ import {
    History,
    Image as ImageIcon,
    Link,
+    Loader2,
    Send,
    Square,
 } from "lucide-react"
--- a/components/chat-panel.tsx
+++ b/components/chat-panel.tsx
@@ -180,7 +180,6 @@ 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)
@@ -199,14 +198,6 @@ 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"))
@@ -317,12 +308,6 @@ 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)

@@ -1052,7 +1037,7 @@ export default function ChatPanel({
        sendMessage(
            { parts },
            {
-                body: { xml, previousXml, sessionId, customSystemMessage },
+                body: { xml, previousXml, sessionId },
                headers: {
                    "x-access-code": config.accessCode,
                    ...(config.aiProvider && {
@@ -1430,8 +1415,6 @@ export default function ChatPanel({
                onMinimalStyleChange={setMinimalStyle}
                vlmValidationEnabled={vlmValidationEnabled}
                onVlmValidationChange={handleVlmValidationChange}
-                customSystemMessage={customSystemMessage}
-                onCustomSystemMessageChange={handleCustomSystemMessageChange}
                onOpenModelConfig={() => setShowModelConfigDialog(true)}
            />

--- a/components/model-config-dialog.tsx
+++ b/components/model-config-dialog.tsx
@@ -54,11 +54,7 @@ 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,
-    PROVIDER_LOGO_MAP,
-    SUGGESTED_MODELS,
-} from "@/lib/types/model-config"
+import { PROVIDER_INFO, SUGGESTED_MODELS } from "@/lib/types/model-config"
 import { cn } from "@/lib/utils"

 interface ModelConfigDialogProps {
@@ -69,6 +65,24 @@ 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,
@@ -1241,16 +1255,6 @@ 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>
                                                </>
                                            )}
--- a/components/model-selector.tsx
+++ b/components/model-selector.tsx
@@ -27,10 +27,7 @@ import {
 } from "@/components/ai-elements/model-selector"
 import { ButtonWithTooltip } from "@/components/button-with-tooltip"
 import { useDictionary } from "@/hooks/use-dictionary"
-import {
-    type FlattenedModel,
-    PROVIDER_LOGO_MAP,
-} from "@/lib/types/model-config"
+import type { FlattenedModel } from "@/lib/types/model-config"
 import { cn } from "@/lib/utils"

 interface ModelSelectorProps {
@@ -42,6 +39,24 @@ interface ModelSelectorProps {
    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[],
--- a/components/quota-limit-toast.tsx
+++ b/components/quota-limit-toast.tsx
@@ -23,22 +23,9 @@ 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()
@@ -84,24 +71,19 @@ export function QuotaLimitToast({
            </div>
            {/* Message */}
            <div className="text-sm text-muted-foreground leading-relaxed mb-4 space-y-2">
-                <p>{quotaMessage}</p>
-                {!isSelfHosted && (
-                    <p
-                        dangerouslySetInnerHTML={{
-                            __html: formatMessage(
-                                dict.quota.doubaoSponsorship,
-                                {
-                                    link: "https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project",
-                                },
-                            ),
-                        }}
-                    />
-                )}
+                <p>
+                    {isTokenLimit
+                        ? dict.quota.messageToken
+                        : dict.quota.messageApi}
+                </p>
                <p
                    dangerouslySetInnerHTML={{
-                        __html: tipHtml,
+                        __html: formatMessage(dict.quota.doubaoSponsorship, {
+                            link: "https://www.volcengine.com/activity/newyear-referral?utm_campaign=doubao&utm_content=aidrawio&utm_medium=github&utm_source=coopensrc&utm_term=project",
+                        }),
                    }}
                />
+                <p dangerouslySetInnerHTML={{ __html: dict.quota.tip }} />
                <p>{dict.quota.reset}</p>
            </div>{" "}
            {/* Action buttons */}
@@ -119,28 +101,24 @@ export function QuotaLimitToast({
                        {dict.quota.configModel}
                    </button>
                )}
-                {!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>
-                    </>
-                )}
+                <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
@@ -22,7 +22,6 @@ 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"
@@ -72,8 +71,6 @@ interface SettingsDialogProps {
    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"
@@ -98,8 +95,6 @@ function SettingsContent({
    vlmValidationEnabled = false,
    onVlmValidationChange = () => {},
    onOpenModelConfig,
-    customSystemMessage = "",
-    onCustomSystemMessageChange = () => {},
 }: SettingsDialogProps) {
    const dict = useDictionary()
    const router = useRouter()
@@ -462,33 +457,6 @@ 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/docs/cn/ai-providers.md
+++ b/docs/cn/ai-providers.md
@@ -207,85 +207,6 @@ 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-M2.5
-```
-
-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`。
@@ -293,7 +214,7 @@ QINIU_BASE_URL=https://your-custom-endpoint
 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, modelscope, minimax, glm, qwen, kimi, qiniu
+AI_PROVIDER=google  # 或：openai, anthropic, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang
 ```

 ## 服务端多模型配置
--- a/docs/en/ai-providers.md
+++ b/docs/en/ai-providers.md
@@ -222,85 +222,6 @@ 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-M2.5
-```
-
-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`.
@@ -308,7 +229,7 @@ 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, minimax, glm, qwen, kimi, qiniu
+AI_PROVIDER=google  # or: openai, anthropic, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang, modelscope
 ```

 ## Server-Side Multi-Model Configuration
--- a/docs/ja/ai-providers.md
+++ b/docs/ja/ai-providers.md
@@ -207,85 +207,6 @@ 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-M2.5
-```
-
-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。
@@ -293,7 +214,7 @@ QINIU_BASE_URL=https://your-custom-endpoint
 **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, modelscope, minimax, glm, qwen, kimi, qiniu
+AI_PROVIDER=google  # または: openai, anthropic, deepseek, siliconflow, doubao, azure, bedrock, openrouter, ollama, gateway, sglang
 ```

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

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

 asarUnpack:
  - "**/*.node"
--- a/electron/main/index.ts
+++ b/electron/main/index.ts
@@ -94,7 +94,8 @@ if (!gotTheLock) {
            if (
                url.includes("diagrams.net") ||
                url.includes("draw.io") ||
-                url.startsWith("http://localhost")
+                url.startsWith("http://localhost") ||
+                url.startsWith("http://127.0.0.1")
            ) {
                return { action: "allow" }
            }
--- a/electron/main/next-server.ts
+++ b/electron/main/next-server.ts
@@ -68,7 +68,7 @@ export async function startNextServer(): Promise<string> {
    const env: Record<string, string> = {
        NODE_ENV: "production",
        PORT: String(port),
-        HOSTNAME: "localhost",
+        HOSTNAME: "127.0.0.1",
        // Enable Node.js built-in proxy support for fetch (Node.js 24+)
        NODE_USE_ENV_PROXY: "1",
    }
--- a/electron/main/port-manager.ts
+++ b/electron/main/port-manager.ts
@@ -9,9 +9,11 @@ import { app } from "electron"
 const PORT_CONFIG = {
    // Development mode uses fixed port for hot reload compatibility
    development: 6002,
-    // Production mode uses fixed port (61337) to preserve localStorage
-    // Falls back to sequential ports if unavailable
-    production: 61337,
+    // Legacy production port — tried first to preserve localStorage for existing users
+    legacyProduction: 61337,
+    // New production port below the ephemeral range (49152-65535)
+    // to avoid conflicts with Windows Hyper-V / ephemeral port reservations
+    production: 13370,
    // Maximum attempts to find an available port (fallback)
    maxAttempts: 100,
 }
@@ -27,7 +29,10 @@ let allocatedPort: number | null = null
 export function isPortAvailable(port: number): Promise<boolean> {
    return new Promise((resolve) => {
        const server = net.createServer()
-        server.once("error", () => resolve(false))
+        server.once("error", (err: NodeJS.ErrnoException) => {
+            console.warn(`Port ${port} unavailable: ${err.code}`)
+            resolve(false)
+        })
        server.once("listening", () => {
            server.close()
            resolve(true)
@@ -39,12 +44,12 @@ export function isPortAvailable(port: number): Promise<boolean> {
 /**
 * Find an available port
 * - In development: uses fixed port (6002)
- * - In production: uses fixed port (61337) to preserve localStorage
+ * - In production: uses fixed port (13370) to preserve localStorage
 * - Falls back to sequential ports if preferred port is unavailable
+ * - Last resort: lets the OS assign a port (port 0)
 *
 * @param reuseExisting If true, try to reuse the previously allocated port
 * @returns Promise<number> The available port
- * @throws Error if no available port found after max attempts
 */
 export async function findAvailablePort(reuseExisting = true): Promise<number> {
    const isDev = !app.isPackaged
@@ -64,7 +69,16 @@ export async function findAvailablePort(reuseExisting = true): Promise<number> {
        allocatedPort = null
    }

-    // Try preferred port first
+    // In production, try legacy port first to preserve existing users' localStorage
+    if (!isDev) {
+        const legacyPort = PORT_CONFIG.legacyProduction
+        if (await isPortAvailable(legacyPort)) {
+            allocatedPort = legacyPort
+            return legacyPort
+        }
+    }
+
+    // Try preferred port
    if (await isPortAvailable(preferredPort)) {
        allocatedPort = preferredPort
        return preferredPort
@@ -84,9 +98,23 @@ export async function findAvailablePort(reuseExisting = true): Promise<number> {
        }
    }

-    throw new Error(
-        `Failed to find available port after ${PORT_CONFIG.maxAttempts} attempts`,
+    // Last resort: let the OS pick an available port
+    console.warn(
+        "All sequential ports failed. Requesting OS-assigned port (localStorage may not persist across restarts).",
    )
+    const osPort = await new Promise<number>((resolve, reject) => {
+        const server = net.createServer()
+        server.once("error", reject)
+        server.once("listening", () => {
+            const addr = server.address()
+            const port = (addr as net.AddressInfo).port
+            server.close(() => resolve(port))
+        })
+        server.listen(0, "127.0.0.1")
+    })
+    allocatedPort = osPort
+    console.log(`OS assigned port: ${osPort}`)
+    return osPort
 }

 /**
@@ -113,5 +141,5 @@ export function getServerUrl(): string {
            "No port allocated yet. Call findAvailablePort() first.",
        )
    }
-    return `http://localhost:${allocatedPort}`
+    return `http://127.0.0.1:${allocatedPort}`
 }
--- a/electron/main/window-manager.ts
+++ b/electron/main/window-manager.ts
@@ -66,7 +66,11 @@ export function createWindow(serverUrl: string): BrowserWindow {

    // Handle page title updates
    mainWindow.webContents.on("page-title-updated", (event, title) => {
-        if (title && !title.includes("localhost")) {
+        if (
+            title &&
+            !title.includes("localhost") &&
+            !title.includes("127.0.0.1")
+        ) {
            mainWindow?.setTitle(title)
        } else {
            event.preventDefault()
--- a/env.example
+++ b/env.example
@@ -135,35 +135,3 @@ 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/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 { PROVIDER_INFO, type ProviderName } from "@/lib/types/model-config"
+import type { ProviderName } from "@/lib/types/model-config"

 export type { ProviderName }

@@ -18,42 +18,6 @@ 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 {
@@ -93,11 +57,6 @@ const ALLOWED_CLIENT_PROVIDERS: ProviderName[] = [
    "ollama",
    "doubao",
    "modelscope",
-    "glm",
-    "qwen",
-    "qiniu",
-    "kimi",
-    "minimax",
 ]

 // Bedrock provider options for Anthropic beta features
@@ -515,12 +474,7 @@ function buildProviderOptions(
        case "sglang":
        case "gateway":
        case "modelscope":
-        case "doubao":
-        case "minimax":
-        case "glm":
-        case "qwen":
-        case "kimi":
-        case "qiniu": {
+        case "doubao": {
            // These providers don't have reasoning configs in AI SDK yet
            // Gateway passes through to underlying providers which handle their own configs
            break
@@ -550,11 +504,6 @@ 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",
 }

 /**
@@ -1223,69 +1172,9 @@ 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, glm, qwen, qiniu, kimi, minimax`,
+                `Unknown AI provider: ${provider}. Supported providers: bedrock, openai, anthropic, google, azure, ollama, openrouter, deepseek, siliconflow, sglang, gateway, edgeone, doubao, modelscope`,
            )
    }

@@ -1294,7 +1183,7 @@ export function getAIModel(overrides?: ClientOverrides): ModelConfig {
        providerOptions = customProviderOptions
    }

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

 /**
--- a/lib/i18n/dictionaries/en.json
+++ b/lib/i18n/dictionaries/en.json
@@ -29,12 +29,7 @@
        "openrouter": "OpenRouter",
        "deepseek": "DeepSeek",
        "siliconflow": "SiliconFlow",
-        "modelscope": "ModelScope",
-        "minimax": "MiniMax",
-        "glm": "GLM",
-        "qwen": "Qwen",
-        "kimi": "Kimi",
-        "qiniu": "Qiniu"
+        "modelscope": "ModelScope"
    },
    "chat": {
        "placeholder": "Describe your diagram or upload a file...",
@@ -126,10 +121,7 @@
        "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",
-        "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..."
+        "disabled": "Disabled"
    },
    "save": {
        "title": "Save Diagram",
@@ -187,11 +179,8 @@
        "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",
@@ -317,7 +306,6 @@
        "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 +29,7 @@
        "openrouter": "OpenRouter",
        "deepseek": "DeepSeek",
        "siliconflow": "SiliconFlow",
-        "modelscope": "ModelScope",
-        "minimax": "MiniMax",
-        "glm": "GLM",
-        "qwen": "Qwen",
-        "kimi": "Kimi",
-        "qiniu": "Qiniu"
+        "modelscope": "ModelScope"
    },
    "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...",
@@ -126,10 +121,7 @@
        "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",
-        "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..."
+        "disabled": "無効"
    },
    "save": {
        "title": "ダイアグラムを保存",
@@ -187,11 +179,8 @@
        "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",
@@ -317,7 +306,6 @@
        "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
@@ -29,12 +29,7 @@
        "openrouter": "OpenRouter",
        "deepseek": "DeepSeek",
        "siliconflow": "SiliconFlow",
-        "modelscope": "ModelScope",
-        "minimax": "MiniMax",
-        "glm": "GLM",
-        "qwen": "Qwen",
-        "kimi": "Kimi",
-        "qiniu": "Qiniu"
+        "modelscope": "ModelScope"
    },
    "chat": {
        "placeholder": "描述您的圖表或上傳檔案...",
@@ -126,10 +121,7 @@
        "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..."
+        "disabled": "已停用"
    },
    "save": {
        "title": "儲存圖表",
@@ -187,11 +179,8 @@
        "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",
@@ -317,7 +306,6 @@
        "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",
--- a/lib/i18n/dictionaries/zh.json
+++ b/lib/i18n/dictionaries/zh.json
@@ -29,12 +29,7 @@
        "openrouter": "OpenRouter",
        "deepseek": "DeepSeek",
        "siliconflow": "SiliconFlow",
-        "modelscope": "ModelScope",
-        "minimax": "MiniMax",
-        "glm": "GLM",
-        "qwen": "Qwen",
-        "kimi": "Kimi",
-        "qiniu": "Qiniu"
+        "modelscope": "ModelScope"
    },
    "chat": {
        "placeholder": "描述您的图表或上传文件...",
@@ -126,10 +121,7 @@
        "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",
-        "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..."
+        "disabled": "已禁用"
    },
    "save": {
        "title": "保存图表",
@@ -187,11 +179,8 @@
        "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",
@@ -317,7 +306,6 @@
        "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/storage.ts
+++ b/lib/storage.ts
@@ -27,7 +27,4 @@ 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/types/model-config.ts
+++ b/lib/types/model-config.ts
@@ -16,11 +16,6 @@ export type ProviderName =
    | "edgeone"
    | "doubao"
    | "modelscope"
-    | "glm"
-    | "qwen"
-    | "qiniu"
-    | "kimi"
-    | "minimax"

 // Individual model configuration
 export interface ModelConfig {
@@ -84,25 +79,6 @@ export interface FlattenedModel {
    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,
@@ -159,26 +135,6 @@ 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
@@ -343,11 +299,6 @@ export const SUGGESTED_MODELS: Partial<Record<ProviderName, string[]>> = {
        "deepseek-ai/DeepSeek-R1-0528",
        "deepseek-ai/DeepSeek-V3.2",
    ],
-    minimax: [
-        // MiniMax models (Anthropic-compatible API)
-        "MiniMax-M2.5",
-        "MiniMax-M2.5-highspeed",
-    ],
 }

 // Helper to generate UUID
--- a/package-lock.json
+++ b/package-lock.json
--- a/package.json
+++ b/package.json
@@ -1,6 +1,6 @@
 {
    "name": "next-ai-draw-io",
-    "version": "0.4.13",
+    "version": "0.4.12",
    "license": "Apache-2.0",
    "private": true,
    "main": "dist-electron/main/index.js",
@@ -48,10 +48,10 @@
        "@langfuse/otel": "^4.4.4",
        "@langfuse/tracing": "^4.4.9",
        "@next/third-parties": "^16.0.6",
-        "@opennextjs/cloudflare": "^1.17.1",
+        "@opennextjs/cloudflare": "1.16.1",
        "@openrouter/ai-sdk-provider": "^1.5.4",
        "@opentelemetry/api": "^1.9.0",
-        "@opentelemetry/exporter-trace-otlp-http": "^0.212.0",
+        "@opentelemetry/exporter-trace-otlp-http": "^0.211.0",
        "@opentelemetry/sdk-trace-node": "^2.2.0",
        "@radix-ui/react-alert-dialog": "^1.1.15",
        "@radix-ui/react-collapsible": "^1.1.12",
@@ -72,7 +72,7 @@
        "cmdk": "^1.1.1",
        "idb": "^8.0.3",
        "jsonrepair": "^3.13.1",
-        "lucide-react": "^0.575.0",
+        "lucide-react": "^0.563.0",
        "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": "2.4.4",
+        "@biomejs/biome": "^2.3.10",
        "@playwright/test": "^1.57.0",
        "@tailwindcss/postcss": "^4",
        "@tailwindcss/typography": "^0.5.19",
@@ -128,7 +128,7 @@
        "electron": "^39.2.7",
        "electron-builder": "^26.0.12",
        "esbuild": "^0.27.2",
-        "eslint": "9.39.3",
+        "eslint": "9.39.2",
        "eslint-config-next": "16.1.6",
        "husky": "^9.1.7",
        "jsdom": "^27.4.0",
--- a/packages/mcp-server/package-lock.json
+++ b/packages/mcp-server/package-lock.json
@@ -481,9 +481,9 @@
            }
        },
        "node_modules/@modelcontextprotocol/sdk": {
-            "version": "1.27.1",
-            "resolved": "https://registry.npmjs.org/@modelcontextprotocol/sdk/-/sdk-1.27.1.tgz",
-            "integrity": "sha512-sr6GbP+4edBwFndLbM60gf07z0FQ79gaExpnsjMGePXqFcSSb7t6iscpjk9DhFhwd+mTEQrzNafGP8/iGGFYaA==",
+            "version": "1.26.0",
+            "resolved": "https://registry.npmjs.org/@modelcontextprotocol/sdk/-/sdk-1.26.0.tgz",
+            "integrity": "sha512-Y5RmPncpiDtTXDbLKswIJzTqu2hyBKxTNsgKqKclDbhIgg1wgtf1fRuvxgTnRfcnxtvvgbIEcqUOzZrJ6iSReg==",
            "license": "MIT",
            "dependencies": {
                "@hono/node-server": "^1.19.9",
@@ -521,9 +521,9 @@
            }
        },
        "node_modules/@types/node": {
-            "version": "24.11.0",
-            "resolved": "https://registry.npmjs.org/@types/node/-/node-24.11.0.tgz",
-            "integrity": "sha512-fPxQqz4VTgPI/IQ+lj9r0h+fDR66bzoeMGHp8ASee+32OSGIkeASsoZuJixsQoVef1QJbeubcPBxKk22QVoWdw==",
+            "version": "24.10.12",
+            "resolved": "https://registry.npmjs.org/@types/node/-/node-24.10.12.tgz",
+            "integrity": "sha512-68e+T28EbdmLSTkPgs3+UacC6rzmqrcWFPQs1C8mwJhI/r5Uxr0yEuQotczNRROd1gq30NGxee+fo0rSIxpyAw==",
            "dev": true,
            "license": "MIT",
            "dependencies": {
@@ -1035,6 +1035,7 @@
            "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",
@@ -1267,6 +1268,7 @@
            "resolved": "https://registry.npmjs.org/hono/-/hono-4.11.9.tgz",
            "integrity": "sha512-Eaw2YTGM6WOxA6CXbckaEvslr2Ne4NFsKrvc0v97JD5awbmeBLO5w9Ho9L9kmKonrwF9RJlW6BxT1PVv/agBHQ==",
            "license": "MIT",
+            "peer": true,
            "engines": {
                "node": ">=16.9.0"
            }
@@ -2066,6 +2068,7 @@
            "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"
            }
--- a/tests/e2e/history-restore.spec.ts
+++ b/tests/e2e/history-restore.spec.ts
@@ -1,6 +1,7 @@
 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
@@ -1,6 +1,7 @@
 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
@@ -1,5 +1,6 @@
 import {
    expect,
+    expectBeforeAndAfterReload,
    getChatInput,
    getIframe,
    openSettings,
--- a/tests/e2e/multi-turn.spec.ts
+++ b/tests/e2e/multi-turn.spec.ts
@@ -3,6 +3,7 @@ import {
    createMixedMock,
    createMultiTurnMock,
    expect,
+    getChatInput,
    sendMessage,
    test,
    waitForComplete,
--- a/tests/e2e/settings.spec.ts
+++ b/tests/e2e/settings.spec.ts
@@ -1,4 +1,10 @@
-import { expect, getIframe, openSettings, test } from "./lib/fixtures"
+import {
+    expect,
+    getIframe,
+    getSettingsButton,
+    openSettings,
+    test,
+} from "./lib/fixtures"

 test.describe("Settings", () => {
    test.beforeEach(async ({ page }) => {