no message

package.json

@@ -58,7 +58,7 @@
     "jsonwebtoken": "^9.0.3",
     "knex": "^3.1.0",
     "morgan": "^1.10.1",
-    "qwen-ai-provider": "^0.1.1",
+    "qwen-ai-provider-v5": "^2.1.0",
     "serialize-error": "^13.0.1",
     "sharp": "^0.34.5",
     "sqlite3": "^5.1.7",

scripts/main.ts

@@ -1,7 +1,33 @@
-import { app, BrowserWindow } from "electron";
+import { app, BrowserWindow, dialog } from "electron";
 import path from "path";
+import net from "net";
 import startServe, { closeServe } from "src/app";
 
+// 检测端口是否被占用
+function checkPortInUse(port: number): Promise<boolean> {
+  return new Promise((resolve) => {
+    const server = net.createServer();
+    
+    server.once('error', (err: NodeJS.ErrnoException) => {
+      if (err.code === 'EADDRINUSE') {
+        
+        resolve(true); // 端口被占用
+      } else {
+        
+        resolve(false);
+      }
+    });
+    
+    server.once('listening', () => {
+      server.close();
+      
+      resolve(false); // 端口可用
+    });
+    
+    server.listen(port);
+  });
+}
+
 function createMainWindow(): void {
   const isDev = process.env.NODE_ENV === "dev" || !app.isPackaged;
   const basePath = isDev ? process.cwd() : app.getAppPath();
@@ -21,6 +47,20 @@ function createMainWindow(): void {
   void win.loadFile(htmlPath);
 }
 app.whenReady().then(async () => {
+  const port = parseInt(process.env.PORT || "60000");
+  const isPortInUse = await checkPortInUse(port);
+  
+  
+  if (isPortInUse) {
+    
+    await dialog.showErrorBox(
+      "端口被占用",
+      `端口 ${port} 已被占用，请关闭占用该端口的程序后重试。\n\n您可以使用以下命令查看占用端口的程序：\nWindows: netstat -ano | findstr ${port}\nLinux/Mac: lsof -i :${port}`
+    );
+    app.quit();
+    return;
+  }
+  
   createMainWindow();
   await startServe();
 });

src/router.ts

@@ -1,4 +1,4 @@
-// @routes-hash 3cfad40b3c8658b442ab766a9323d740
+// @routes-hash 2c228db11434e5c7874e23f6fe832d00
 import { Express } from "express";
 
 import route1 from "./routes/assets/addAssets";
@@ -65,19 +65,20 @@ import route61 from "./routes/storyboard/uploadImage";
 import route62 from "./routes/task/getTaskApi";
 import route63 from "./routes/task/taskDetails";
 import route64 from "./routes/user/getUser";
-import route65 from "./routes/video/addVideo";
+import route65 from "./routes/user/saveUser";
-import route66 from "./routes/video/addVideoConfig";
+import route66 from "./routes/video/addVideo";
-import route67 from "./routes/video/deleteVideoConfig";
+import route67 from "./routes/video/addVideoConfig";
-import route68 from "./routes/video/generatePrompt";
+import route68 from "./routes/video/deleteVideoConfig";
-import route69 from "./routes/video/generateVideo";
+import route69 from "./routes/video/generatePrompt";
-import route70 from "./routes/video/getManufacturer";
+import route70 from "./routes/video/generateVideo";
-import route71 from "./routes/video/getVideo";
+import route71 from "./routes/video/getManufacturer";
-import route72 from "./routes/video/getVideoConfigs";
+import route72 from "./routes/video/getVideo";
-import route73 from "./routes/video/getVideoModel";
+import route73 from "./routes/video/getVideoConfigs";
-import route74 from "./routes/video/getVideoStoryboards";
+import route74 from "./routes/video/getVideoModel";
-import route75 from "./routes/video/reviseVideoStoryboards";
+import route75 from "./routes/video/getVideoStoryboards";
-import route76 from "./routes/video/saveVideo";
+import route76 from "./routes/video/reviseVideoStoryboards";
-import route77 from "./routes/video/upDateVideoConfig";
+import route77 from "./routes/video/saveVideo";
+import route78 from "./routes/video/upDateVideoConfig";
 
 export default async (app: Express) => {
   app.use("/assets/addAssets", route1);
@@ -144,17 +145,18 @@ export default async (app: Express) => {
   app.use("/task/getTaskApi", route62);
   app.use("/task/taskDetails", route63);
   app.use("/user/getUser", route64);
-  app.use("/video/addVideo", route65);
+  app.use("/user/saveUser", route65);
-  app.use("/video/addVideoConfig", route66);
+  app.use("/video/addVideo", route66);
-  app.use("/video/deleteVideoConfig", route67);
+  app.use("/video/addVideoConfig", route67);
-  app.use("/video/generatePrompt", route68);
+  app.use("/video/deleteVideoConfig", route68);
-  app.use("/video/generateVideo", route69);
+  app.use("/video/generatePrompt", route69);
-  app.use("/video/getManufacturer", route70);
+  app.use("/video/generateVideo", route70);
-  app.use("/video/getVideo", route71);
+  app.use("/video/getManufacturer", route71);
-  app.use("/video/getVideoConfigs", route72);
+  app.use("/video/getVideo", route72);
-  app.use("/video/getVideoModel", route73);
+  app.use("/video/getVideoConfigs", route73);
-  app.use("/video/getVideoStoryboards", route74);
+  app.use("/video/getVideoModel", route74);
-  app.use("/video/reviseVideoStoryboards", route75);
+  app.use("/video/getVideoStoryboards", route75);
-  app.use("/video/saveVideo", route76);
+  app.use("/video/reviseVideoStoryboards", route76);
-  app.use("/video/upDateVideoConfig", route77);
+  app.use("/video/saveVideo", route77);
+  app.use("/video/upDateVideoConfig", route78);
 }

src/routes/assets/generateAssets.ts

@@ -2,7 +2,7 @@ import express from "express";
 import u from "@/utils";
 import { z } from "zod";
 import { v4 as uuidv4 } from "uuid";
-import { success } from "@/lib/responseFormat";
+import { success,error } from "@/lib/responseFormat";
 import { validateFields } from "@/middleware/middleware";
 import sharp from "sharp";
 const router = express.Router();
@@ -124,8 +124,8 @@ export default router.post(
       assetsId: id,
     });
     const apiConfig = await u.getPromptAi("assetsImage");
-
+    try{
-    const contentStr = await u.ai.image(
+ const contentStr = await u.ai.image(
       {
         systemPrompt,
         prompt: userPrompt,
@@ -175,6 +175,14 @@ export default router.post(
     // const state = await u.db("t_assets").where("id", id).select("state").first();
 
     res.status(200).send(success({ path, assetsId: id }));
+    }catch(e){
+      await u.db("t_image").where("id",imageId).update({
+        state:"生成失败"
+      })
+      const msg = u.error(e).message || "图片生成失败"
+      return res.status(400).send(error(msg))
+    }
+   
   },
 );
 async function imageAddText(name: string, imageBuffer: Buffer) {

src/routes/user/saveUser.ts

@@ -0,0 +1,24 @@
+import express from "express";
+import u from "@/utils";
+import { z } from "zod";
+import { success } from "@/lib/responseFormat";
+import { validateFields } from "@/middleware/middleware";
+const router = express.Router();
+
+// 获取用户
+export default router.post(
+  "/",
+  validateFields({
+    name: z.string(),
+    password: z.string(),
+    id: z.number(),
+  }),
+  async (req, res) => {
+    const { name, password, id } = req.body;
+    await u.db("t_user").where("id", id).update({
+      name,
+      password,
+    });
+    res.status(200).send(success("保存设置成功"));
+  },
+);

src/routes/video/deleteVideoConfig.ts

@@ -33,9 +33,6 @@ export default router.post(
       if (result.filePath) {
         filesToDelete.push(result.filePath);
       }
-      if (result.firstFrame) {
-        filesToDelete.push(result.firstFrame);
-      }
     }
 
     // 删除文件

src/routes/video/generateVideo.ts

@@ -6,8 +6,6 @@ import { error, success } from "@/lib/responseFormat";
 import { validateFields } from "@/middleware/middleware";
 import { t_config } from "@/types/database";
 import sharp from "sharp";
-import fs from "fs";
-import path from "path";
 
 const router = express.Router();
 

src/utils/ai/image/index.ts

@@ -10,7 +10,7 @@ import runninghub from "./owned/runninghub";
 import apimart from "./owned/apimart";
 import other from "./owned/other";
 import gemini from "./owned/gemini";
-
+import modelScope from "./owned/modelScope";
 const urlToBase64 = async (url: string): Promise<string> => {
   const res = await axios.get(url, { responseType: "arraybuffer" });
   const base64 = Buffer.from(res.data).toString("base64");
@@ -26,6 +26,7 @@ const modelInstance = {
   runninghub: runninghub,
   // apimart: apimart,
   other,
+  modelScope,
 } as const;
 
 export default async (input: ImageConfig, config: AIConfig) => {
@@ -35,10 +36,10 @@ export default async (input: ImageConfig, config: AIConfig) => {
 
   const manufacturerFn = modelInstance[manufacturer as keyof typeof modelInstance];
   if (!manufacturerFn) if (!manufacturerFn) throw new Error("不支持的图片厂商");
-  if (manufacturer !== "other") {
+  // if (manufacturer !== "other" && manufacturer !== "modelScope") {
-    const owned = modelList.find((m) => m.model === model);
+  //   const owned = modelList.find((m) => m.model === model);
-    if (!owned) throw new Error("不支持的模型");
+  //   if (!owned) throw new Error("不支持的模型");
-  }
+  // }
 
   // 补充图片的 base64 内容类型字符串
   if (input.imageBase64 && input.imageBase64.length > 0) {
@@ -65,7 +66,6 @@ export default async (input: ImageConfig, config: AIConfig) => {
   }
 
   let imageUrl = await manufacturerFn(input, { model, apiKey, baseURL });
-  console.log("%c Line:68 🍷 imageUrl", "background:#4fff4B", imageUrl);
   if (!input.resType) input.resType = "b64";
   if (input.resType === "b64" && imageUrl.startsWith("http")) imageUrl = await urlToBase64(imageUrl);
   return imageUrl;

src/utils/ai/image/modelList.ts

@@ -19,6 +19,12 @@ const modelList: Owned[] = [
     grid: false,
     type: "ti2i",
   },
+  // {
+  //   manufacturer: "volcengine",
+  //   model: "doubao-seedream-5-0-260128",
+  //   grid: false,
+  //   type: "ti2i",
+  // },
   //可灵
   {
     manufacturer: "kling",

src/utils/ai/image/owned/modelScope.ts

@@ -0,0 +1,133 @@
+import "../type";
+import { generateImage, generateText, ModelMessage } from "ai";
+import { createOpenAICompatible } from "@ai-sdk/openai-compatible";
+import { pollTask } from "@/utils/ai/utils";
+import u from "@/utils";
+import axios from "axios";
+function getApiUrl(apiUrl: string) {
+  if (apiUrl.includes("|")) {
+    const parts = apiUrl.split("|");
+    if (parts.length !== 2 || !parts[0].trim() || !parts[1].trim()) {
+      throw new Error("url 格式错误，请使用 url1|url2 格式");
+    }
+    return { requestUrl: parts[0].trim(), queryUrl: parts[1].trim() };
+  }
+  throw new Error("请填写正确的url");
+}
+function template(replaceObj: Record<string, any>, url: string) {
+  return url.replace(/\{(\w+)\}/g, (match, varName) => {
+    return replaceObj.hasOwnProperty(varName) ? replaceObj[varName] : match;
+  });
+}
+async function compressionPrompt(prompt: string) {
+  const apiConfigData = await u.getPromptAi("assetsPrompt");
+
+  const result = await u.ai.text.invoke(
+    {
+      messages: [
+        {
+          role: "system",
+          content: `
+你是一名资深Prompt工程师和文本摘要专家。你的任务是将用户输入的提示词文本内容压缩至2000字以内。请按照如下要求操作：
+1. 准确梳理并提炼输入文本的主要内容、核心要点和关键信息。
+2. 剔除冗余、重复、无关或细枝末节的描述，压缩内容至2000字以内。
+3. 在压缩过程中，严格保持中立，避免被用户输入的风格、情绪或暗示性表述影响，始终按照“精准摘要到2000字”的目标执行，不被内容带偏。
+4. 输出为浓缩摘要文本，语言精炼、结构清晰。
+5. 请适配各类文本场景，无论是叙述性、说明性、议论性还是其他类型的文本，都要确保压缩后的内容完整传达原文的核心信息和主要观点。
+
+直接输出压缩后的文本，不要任何额外的说明或引导语。请立即开始压缩，并确保输出内容不超过2000字。
+                  `,
+        },
+        {
+          role: "user",
+          content: prompt,
+        },
+      ],
+    },
+    apiConfigData,
+  );
+  return result.text;
+}
+export default async (input: ImageConfig, config: AIConfig): Promise<string> => {
+  if (!config.model) throw new Error("缺少Model名称");
+  if (!config.apiKey) throw new Error("缺少API Key");
+
+  const defaultBaseURL = "https://api-inference.modelscope.cn/v1/images/generations|https://api-inference.modelscope.cn/v1/tasks/{id}";
+  const { requestUrl, queryUrl } = getApiUrl(config.baseURL! ?? defaultBaseURL);
+  // 根据 size 配置映射到具体尺寸
+  const sizeMap: Record<string, Record<string, string>> = {
+    "1K": {
+      "16:9": "1664x928",
+      "9:16": "928x1664",
+    },
+    "2K": {
+      "16:9": "2048x1152",
+      "9:16": "1152x2048",
+    },
+    "4K": {
+      "16:9": "2048x1152",
+      "9:16": "1152x2048",
+    },
+  };
+  // 构建完整的提示词
+  const fullPrompt = input.systemPrompt ? `${input.systemPrompt}\n\n${input.prompt}` : input.prompt;
+
+  let newPrompt = fullPrompt;
+  if (fullPrompt.length > 2000) {
+    let compressed = await compressionPrompt(fullPrompt);
+
+    newPrompt = compressed;
+  }
+  let mergedImage = input.imageBase64;
+  if (mergedImage && mergedImage.length) {
+    const smallImage = await u.imageTools.mergeImages(mergedImage, "5mb");
+    mergedImage = [smallImage];
+  }
+
+  const size = sizeMap[input.size]?.[input.aspectRatio] ?? "1024x1024";
+
+  const taskBody: Record<string, any> = {
+    model: config.model,
+    prompt: newPrompt,
+    negative_prompt: "",
+    size,
+    ...(mergedImage && mergedImage.length ? { image_url: mergedImage } : {}),
+  };
+
+  const apiKey = config.apiKey.replace("Bearer ", "");
+  try {
+    const { data } = await axios.post(requestUrl, taskBody, { headers: { Authorization: `Bearer ${apiKey}`, "X-ModelScope-Async-Mode": "true" } });
+
+    if (data.task_status != "SUCCEED") throw new Error(`任务提交失败: ${data || "未知错误"}`);
+    const taskId = data.task_id;
+
+    return await pollTask(async () => {
+      const { data: queryData } = await axios.get(template({ id: taskId }, queryUrl), {
+        headers: { Authorization: `Bearer ${apiKey}`, "X-ModelScope-Task-Type": "image_generation" },
+      });
+
+      const { task_status, output_images } = queryData || {};
+
+      if (task_status === "FAILED") {
+        return { completed: false, error: "图片生成失败" };
+      }
+
+      if (task_status === "SUCCEED") {
+        return { completed: true, url: output_images?.[0] };
+      }
+
+      return { completed: false };
+    });
+  } catch (error: any) {
+    console.error("%c Line:90 🥪 error", "background:#93c0a4", error.response?.data?.errors?.message);
+    const msg = u.error(error).message || "图片生成失败";
+    throw new Error(msg);
+  }
+};
+
+async function urlToBase64(url: string): Promise<string> {
+  const res = await axios.get(url, { responseType: "arraybuffer" });
+  const base64 = Buffer.from(res.data).toString("base64");
+  const mimeType = res.headers["content-type"] || "image/png";
+  return `data:${mimeType};base64,${base64}`;
+}

src/utils/ai/image/owned/other.ts

@@ -27,6 +27,7 @@ export default async (input: ImageConfig, config: AIConfig): Promise<string> =>
   // 构建完整的提示词
   const fullPrompt = input.systemPrompt ? `${input.systemPrompt}\n\n${input.prompt}` : input.prompt;
   const model = config.model;
+
   if (model.includes("gemini") || model.includes("nano")) {
     let promptData;
     if (input.imageBase64 && input.imageBase64.length) {
@@ -69,26 +70,28 @@ export default async (input: ImageConfig, config: AIConfig): Promise<string> =>
         console.error(JSON.stringify(result.response, null, 2));
         throw new Error("图片生成失败");
       }
-      const mdMatch = result.text.match(/^!\[.*?\]\((.+?)\)$/);
+      // 匹配所有 markdown 图片 ![...](url)
-      if (mdMatch) {
+      const mdImgPattern = /!\[.*?\]\((.+?)\)/g;
-        const imgInfo = mdMatch[1];
+      const matches = [...result.text.matchAll(mdImgPattern)];
-        const base64InMd = imgInfo.match(/data:image\/[a-z]+;base64,(.+)/);
+      for (const match of matches) {
+        const imgInfo = match[1];
+        // 检查是否已是 base64
+        const base64InMd = imgInfo.match(/data:image\/[a-z]+;base64,.+/);
         if (base64InMd) {
-          return imgInfo;
+          return imgInfo; // 已经是base64，直接返回
         } else {
-          return await urlToBase64(imgInfo);
+          return await urlToBase64(imgInfo); // 否则尝试转base64
         }
       }
+      // 检查纯base64字符串
       const base64Match = result.text.match(/base64,([A-Za-z0-9+/=]+)/);
-
       if (base64Match) {
         return "data:image/jpeg;base64," + base64Match[1];
       }
-      // 检查是否为图片直链 url
+      // 检查是否为图片直链接
       if (/^https?:\/\/.*\.(png|jpg|jpeg|gif|webp|bmp)$/i.test(result.text)) {
         return await urlToBase64(result.text);
       }
-
       // 默认情况
       return result.text;
     }

src/utils/ai/image/owned/volcengine.ts

@@ -8,11 +8,20 @@ export default async (input: ImageConfig, config: AIConfig): Promise<string> =>
 
   const apiKey = "Bearer " + config.apiKey.replace(/Bearer\s+/g, "").trim();
   const size = input.size === "1K" ? "2K" : input.size;
-
+  const sizeMap: Record<string, Record<string, string>> = {
+    "16:9": {
+      "2K": "2848x1600",
+      "4K": "4096x2304",
+    },
+    "9:16": {
+      "2K": "1600x2848",
+      "4K": "2304x4096",
+    },
+  };
   const body: Record<string, any> = {
     model: config.model,
     prompt: input.prompt,
-    size,
+    size: sizeMap[input.aspectRatio][size],
     response_format: "url",
     sequential_image_generation: "disabled",
     stream: false,
@@ -28,4 +37,4 @@ export default async (input: ImageConfig, config: AIConfig): Promise<string> =>
     const msg = u.error(error).message || "Volcengine 图片生成失败";
     throw new Error(msg);
   }
-}
+};

src/utils/ai/text/index.ts

@@ -25,12 +25,12 @@ interface AIConfig {
 const buildOptions = async (input: AIInput<any>, config: AIConfig = {}) => {
   if (!config || !config?.model || !config?.apiKey || !config?.manufacturer) throw new Error("请检查模型配置是否正确");
   const { model, apiKey, baseURL, manufacturer } = { ...config };
-  let owned;
+  // let owned;
-  if (manufacturer == "other") {
+  // if (manufacturer == "other" || manufacturer == "modelScope") {
-    owned = modelList.find((m) => m.manufacturer === manufacturer);
+   const owned = modelList.find((m) => m.manufacturer === manufacturer);
-  } else {
+  // } else {
-    owned = modelList.find((m) => m.model === model);
+  //   owned = modelList.find((m) => m.model === model);
-  }
+  // }
   if (!owned) throw new Error("不支持的模型或厂商");
 
   const modelInstance = owned.instance({ apiKey, baseURL: baseURL!, name: "xixixi" });
@@ -52,7 +52,7 @@ const buildOptions = async (input: AIInput<any>, config: AIConfig = {}) => {
   };
 
   const output = input.output ? (outputBuilders[owned.responseFormat]?.(input.output) ?? null) : null;
-  const chatModelManufacturer = ["doubao", "other", "openai"];
+  const chatModelManufacturer = ["doubao", "other", "openai", "modelScope"];
   const modelFn = chatModelManufacturer.includes(owned.manufacturer) ? (modelInstance as OpenAIProvider).chat(model!) : modelInstance(model!);
   return {
     config: {

src/utils/ai/text/modelList.ts

@@ -1,11 +1,11 @@
-import { createOpenAI } from "@ai-sdk/openai";
+import { createOpenAI, OpenAIProviderSettings } from "@ai-sdk/openai";
 import { createDeepSeek } from "@ai-sdk/deepseek";
 import { createZhipu } from "zhipu-ai-provider";
-import { createQwen } from "qwen-ai-provider";
+import { createQwen } from "qwen-ai-provider-v5";
 import { createGoogleGenerativeAI } from "@ai-sdk/google";
 import { createAnthropic } from "@ai-sdk/anthropic";
 import { createOpenAICompatible } from "@ai-sdk/openai-compatible";
-import { createXai } from '@ai-sdk/xai';
+import { createXai } from "@ai-sdk/xai";
 
 interface Owned {
   manufacturer: string;
@@ -82,6 +82,15 @@ const modelList: Owned[] = [
     instance: createOpenAI,
     tool: true,
   },
+  {
+    manufacturer: "doubao",
+    model: "doubao-seed-2-0-pro-260215",
+    responseFormat: "object",
+    image: true,
+    think: true,
+    instance: createOpenAI,
+    tool: true,
+  },
   // GLM
   {
     manufacturer: "zhipu",
@@ -186,7 +195,25 @@ const modelList: Owned[] = [
   {
     manufacturer: "qwen",
     model: "qwen-vl-max",
-    responseFormat: "schema",
+    responseFormat: "object",
+    image: true,
+    think: false,
+    instance: createQwen,
+    tool: true,
+  },
+  {
+    manufacturer: "qwen",
+    model: "qwen3.5-plus",
+    responseFormat: "object",
+    image: true,
+    think: false,
+    instance: createQwen,
+    tool: true,
+  },
+  {
+    manufacturer: "qwen",
+    model: "qwen3.5-plus-2026-02-15",
+    responseFormat: "object",
     image: true,
     think: false,
     instance: createQwen,
@@ -413,7 +440,7 @@ const modelList: Owned[] = [
     tool: true,
   },
   //xai
-   {
+  {
     manufacturer: "xai",
     model: "grok-3",
     responseFormat: "schema",
@@ -422,7 +449,7 @@ const modelList: Owned[] = [
     instance: createXai,
     tool: true,
   },
-   {
+  {
     manufacturer: "xai",
     model: "grok-4",
     responseFormat: "schema",
@@ -431,7 +458,7 @@ const modelList: Owned[] = [
     instance: createXai,
     tool: true,
   },
-   {
+  {
     manufacturer: "xai",
     model: "grok-4.1",
     responseFormat: "schema",
@@ -440,6 +467,16 @@ const modelList: Owned[] = [
     instance: createXai,
     tool: true,
   },
+  //魔塔
+  {
+    manufacturer: "modelScope",
+    model: "grok-4.1",
+    responseFormat: "object",
+    image: true,
+    think: false,
+    instance: createOpenAI,
+    tool: true,
+  },
   //其他
   {
     manufacturer: "other",

yarn.lock

@@ -74,15 +74,6 @@
     "@standard-schema/spec" "^1.1.0"
     eventsource-parser "^3.0.6"
 
-"@ai-sdk/provider-utils@^2.1.6":
-  version "2.2.8"
-  resolved "https://registry.npmmirror.com/@ai-sdk/provider-utils/-/provider-utils-2.2.8.tgz#ad11b92d5a1763ab34ba7b5fc42494bfe08b76d1"
-  integrity sha512-fqhG+4sCVv8x7nFzYnFo19ryhAa3w096Kmc3hWxMQfW/TubPOmt3A6tYZhl4mUfQWWQMsuSkLrtjlWuXBVSGQA==
-  dependencies:
-    "@ai-sdk/provider" "1.1.3"
-    nanoid "^3.3.8"
-    secure-json-parse "^2.7.0"
-
 "@ai-sdk/provider-utils@^3.0.0":
   version "3.0.20"
   resolved "https://registry.npmmirror.com/@ai-sdk/provider-utils/-/provider-utils-3.0.20.tgz#61d7741065550833eae3ac6440d943e9d3d25120"
@@ -92,12 +83,14 @@
     "@standard-schema/spec" "^1.0.0"
     eventsource-parser "^3.0.6"
 
-"@ai-sdk/provider@1.1.3", "@ai-sdk/provider@^1.0.7":
+"@ai-sdk/provider-utils@^4.0.0":
-  version "1.1.3"
+  version "4.0.15"
-  resolved "https://registry.npmmirror.com/@ai-sdk/provider/-/provider-1.1.3.tgz#ebdda8077b8d2b3f290dcba32c45ad19b2704681"
+  resolved "https://registry.npmmirror.com/@ai-sdk/provider-utils/-/provider-utils-4.0.15.tgz#d585c7c89cfdf13697a40be5768ecd907a251585"
-  integrity sha512-qZMxYJ0qqX/RfnuIaab+zp8UAeJn/ygXXAffR5I4N0n1IrvA6qBsjc8hXLmBiMV2zoXlifkacF7sEFnYnjBcqg==
+  integrity sha512-8XiKWbemmCbvNN0CLR9u3PQiet4gtEVIrX4zzLxnCj06AwsEDJwJVBbKrEI4t6qE8XRSIvU2irka0dcpziKW6w==
   dependencies:
-    json-schema "^0.4.0"
+    "@ai-sdk/provider" "3.0.8"
+    "@standard-schema/spec" "^1.1.0"
+    eventsource-parser "^3.0.6"
 
 "@ai-sdk/provider@2.0.1", "@ai-sdk/provider@^2.0.0":
   version "2.0.1"
@@ -113,6 +106,13 @@
   dependencies:
     json-schema "^0.4.0"
 
+"@ai-sdk/provider@3.0.8", "@ai-sdk/provider@^3.0.0":
+  version "3.0.8"
+  resolved "https://registry.npmmirror.com/@ai-sdk/provider/-/provider-3.0.8.tgz#fd7fac7533c03534ac1d3fb710a6b96e2aa00263"
+  integrity sha512-oGMAgGoQdBXbZqNG0Ze56CHjDZ1IDYOwGYxYjO5KLSlz5HiNQ9udIXsPZ61VWaHGZ5XW/jyjmr6t2xz2jGVwbQ==
+  dependencies:
+    json-schema "^0.4.0"
+
 "@ai-sdk/xai@^3.0.47":
   version "3.0.47"
   resolved "https://registry.npmmirror.com/@ai-sdk/xai/-/xai-3.0.47.tgz#a8d3e08603865c5e401e19c801c7a80c3f31b890"
@@ -3160,11 +3160,6 @@ ms@^2.0.0, ms@^2.1.1, ms@^2.1.3:
   resolved "https://registry.npmmirror.com/ms/-/ms-2.1.3.tgz#574c8138ce1d2b5861f0b44579dbadd60c6615b2"
   integrity sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA==
 
-nanoid@^3.3.8:
-  version "3.3.11"
-  resolved "https://registry.npmmirror.com/nanoid/-/nanoid-3.3.11.tgz#4f4f112cefbe303202f2199838128936266d185b"
-  integrity sha512-N8SpfPUnUp1bK+PMYW8qSWdl9U+wwNWI4QKxOYDy9JAro3WMX7p2OeVRF9v+347pnakNevPmiHhNmZ2HbFA76w==
-
 napi-build-utils@^2.0.0:
   version "2.0.0"
   resolved "https://registry.npmmirror.com/napi-build-utils/-/napi-build-utils-2.0.0.tgz#13c22c0187fcfccce1461844136372a47ddc027e"
@@ -3614,13 +3609,13 @@ quick-lru@^5.1.1:
   resolved "https://registry.npmmirror.com/quick-lru/-/quick-lru-5.1.1.tgz#366493e6b3e42a3a6885e2e99d18f80fb7a8c932"
   integrity sha512-WuyALRjWPDGtt/wzJiadO5AXY+8hZ80hVpe6MyivgraREW751X3SbhRvG3eLKOYN+8VEvqLcf3wdnt44Z4S4SA==
 
-qwen-ai-provider@^0.1.1:
+qwen-ai-provider-v5@^2.1.0:
-  version "0.1.1"
+  version "2.1.0"
-  resolved "https://registry.npmmirror.com/qwen-ai-provider/-/qwen-ai-provider-0.1.1.tgz#f854379514eed919fe01de20007f6238a8ad2b41"
+  resolved "https://registry.npmmirror.com/qwen-ai-provider-v5/-/qwen-ai-provider-v5-2.1.0.tgz#8672871135bb4a5fda32409c00b70d10637f8a50"
-  integrity sha512-7dVu97U7fbOGgCYdaOunC4NQqC+7Or3/Gsbx+P16+Ny4VxST7WJxfUCogQl6D2EDxIJdHGz4akHm+5fyEulmyw==
+  integrity sha512-I+Iv45ymrez1wieZFu0n/lc/lSkbAQMlujWBCfUWBUOf6DizYfvPKaydsojXM7CU8TcqJbYJuN3ofnaxFIwBZA==
   dependencies:
-    "@ai-sdk/provider" "^1.0.7"
+    "@ai-sdk/provider" "^3.0.0"
-    "@ai-sdk/provider-utils" "^2.1.6"
+    "@ai-sdk/provider-utils" "^4.0.0"
 
 range-parser@^1.2.1:
   version "1.2.1"
@@ -3846,11 +3841,6 @@ sax@^1.2.4:
   resolved "https://registry.npmmirror.com/sax/-/sax-1.4.4.tgz#f29c2bba80ce5b86f4343b4c2be9f2b96627cf8b"
   integrity sha512-1n3r/tGXO6b6VXMdFT54SHzT9ytu9yr7TaELowdYpMqY/Ao7EnlQGmAQ1+RatX7Tkkdm6hONI2owqNx2aZj5Sw==
 
-secure-json-parse@^2.7.0:
-  version "2.7.0"
-  resolved "https://registry.npmmirror.com/secure-json-parse/-/secure-json-parse-2.7.0.tgz#5a5f9cd6ae47df23dba3151edd06855d47e09862"
-  integrity sha512-6aU+Rwsezw7VR8/nyvKTx8QpWH9FrcYiXXlqC4z5d5XQBDRqtbfsRjnwGyqbi3gddNtWHuEk9OANUotL26qKUw==
-
 semver-compare@^1.0.0:
   version "1.0.0"
   resolved "https://registry.npmmirror.com/semver-compare/-/semver-compare-1.0.0.tgz#0dee216a1c941ab37e9efb1788f6afc5ff5537fc"