修复bug

package.json

@@ -1,6 +1,6 @@
 {
   "name": "toonflow-app",
-  "version": "1.0.7",
+  "version": "1.0.7-patch2",
   "description": "Toonflow 是一款 AI 短剧漫剧工具，能够利用 AI 技术将小说自动转化为剧本，并结合 AI 生成的图片和视频，实现高效的短剧创作。",
   "author": "HBAI-Ltd <ltlctools@outlook.com>",
   "homepage": "https://github.com/HBAI-Ltd/Toonflow-app#readme",
@@ -37,7 +37,7 @@
     "@ai-sdk/anthropic": "^3.0.35",
     "@ai-sdk/deepseek": "^2.0.17",
     "@ai-sdk/devtools": "^0.0.11",
-    "@ai-sdk/google": "^3.0.20",
+    "@ai-sdk/google": "^3.0.43",
     "@ai-sdk/openai": "^3.0.25",
     "@ai-sdk/openai-compatible": "^2.0.27",
     "@ai-sdk/xai": "^3.0.47",

src/agents/storyboard/generateImageTool.ts

@@ -175,14 +175,25 @@ async function processImages(images: ImageInfo[]): Promise<Buffer[]> {
   let processedBuffers: Buffer[];
 
   if (images.length <= maxImages) {
+    console.log("%c Line:178 🥤 images", "background:#ffdd4d", images);
+
+    console.log("%c Line:179 🍑", "background:#ed9ec7");
     const buffers = await Promise.all(images.map((img) => u.oss.getFile(img.filePath)));
+    console.log("%c Line:179 🧀 buffers", "background:#ffdd4d", buffers);
     processedBuffers = await Promise.all(buffers.map((buffer) => compressImage(buffer)));
+    console.log("%c Line:181 🍇 processedBuffers", "background:#e41a6a", processedBuffers);
   } else {
     const mergeStartIndex = maxImages - 1;
+
+    console.log("%c Line:183 🍖", "background:#6ec1c2");
     const firstBuffers = await Promise.all(images.slice(0, mergeStartIndex).map((img) => u.oss.getFile(img.filePath)));
+    console.log("%c Line:183 🍉 firstBuffers", "background:#42b983", firstBuffers);
     const compressedFirstImages = await Promise.all(firstBuffers.map((buffer) => compressImage(buffer)));
+    console.log("%c Line:185 🍺 compressedFirstImages", "background:#42b983", compressedFirstImages);
     const imagesToMergeList = images.slice(mergeStartIndex).map((img) => img.filePath);
+    console.log("%c Line:187 🍿 imagesToMergeList", "background:#b03734", imagesToMergeList);
     const mergedImage = await mergeImages(imagesToMergeList);
+    console.log("%c Line:189 🍉 mergedImage", "background:#ed9ec7", mergedImage);
     processedBuffers = [...compressedFirstImages, mergedImage];
   }
 
@@ -288,6 +299,7 @@ export default async (cells: { prompt: string }[], scriptId: number, projectId:
 
   // 使用 AI 过滤相关资产
   const filteredImages = await filterRelevantAssets(cellPrompts, resources, allImages);
+  console.log("%c Line:291 🍇 filteredImages", "background:#4fff4B", filteredImages);
 
   const resourcesMapPrompts = buildResourcesMapPrompts(filteredImages);
   console.log("====润色前：", cellPrompts);
@@ -324,6 +336,7 @@ export default async (cells: { prompt: string }[], scriptId: number, projectId:
     },
     apiConfig,
   );
+    console.log("%c Line:315 🍊 contentStr", "background:#ffdd4d", contentStr);
 
   const match = contentStr.match(/base64,([A-Za-z0-9+/=]+)/);
   const base64Str = match?.[1] ?? contentStr;

src/agents/storyboard/index.ts

@@ -98,7 +98,6 @@ export default class Storyboard {
 
   private log(action: string, detail?: string) {
     const msg = detail ? `${action}: ${detail}` : action;
-    console.log(`\n[${new Date().toLocaleTimeString()}] ${msg}\n`);
   }
 
   // ==================== 剧本相关操作 ====================
@@ -242,7 +241,6 @@ ${sections.join("\n\n")}
       const skipped: number[] = [];
 
       for (const item of shots) {
-
         const exists = this.shots.some((f) => f.segmentId === item.segmentIndex);
         if (exists) {
           skipped.push(item.segmentIndex);
@@ -445,6 +443,7 @@ ${sections.join("\n\n")}
         this.scriptId,
         this.projectId,
       );
+
       // 通知前端正在分割图片
       this.emit("shotImageGenerateProgress", { shotId, status: "splitting", message: "正在分割宫格图片为单张镜头图" });
 
@@ -460,8 +459,10 @@ ${sections.join("\n\n")}
 
       for (let i = 0; i < imageBuffers.length; i++) {
         const fileName = `${this.projectId}/chat/${this.scriptId}/storyboard/shot_${shotId}_take_${i}_${timestamp}.png`;
+
         await u.oss.writeFile(fileName, imageBuffers[i]);
         const imageUrl = await u.oss.getFileUrl(fileName);
+
         imagePaths.push(imageUrl);
 
         // 每保存一张镜头图片通知进度

src/lib/initDB.ts

@@ -97,7 +97,7 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
       name: "t_project",
       builder: (table) => {
         table.integer("id");
-        table.string("projectType");
+        // table.string("projectType");
         table.text("name");
         table.text("intro");
         table.text("type");
@@ -195,23 +195,23 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
       },
       initData: async (knex) => {},
     },
-    {
+    // {
-      name: "t_myTasks",
+    //   name: "t_myTasks",
-      builder: (table) => {
+    //   builder: (table) => {
-        table.integer("id").notNullable();
+    //     table.integer("id").notNullable();
-        table.integer("projectId");
+    //     table.integer("projectId");
-        table.string("taskClass");
+    //     table.string("taskClass");
-        table.string("relatedObjects");
+    //     table.string("relatedObjects");
-        table.string("model");
+    //     table.string("model");
-        table.text("describe");
+    //     table.text("describe");
-        table.string("state");
+    //     table.string("state");
-        table.integer("startTime");
+    //     table.integer("startTime");
-        table.text("reason");
+    //     table.text("reason");
-        table.primary(["id"]);
+    //     table.primary(["id"]);
-        table.unique(["id"]);
+    //     table.unique(["id"]);
-      },
+    //   },
-      initData: async (knex) => {},
+    //   initData: async (knex) => {},
-    },
+    // },
     {
       name: "t_artStyle",
       builder: (table) => {
@@ -668,6 +668,7 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
           { manufacturer: "grsai", model: "nano-banana-pro", grid: 1, type: "ti2i" },
           { manufacturer: "grsai", model: "nano-banana", grid: 1, type: "ti2i" },
           { manufacturer: "grsai", model: "nano-banana-2", grid: 1, type: "ti2i" },
+          { manufacturer: "formal", model: "Qwen-Image", grid: 1, type: "ti2i" },
         ]);
       },
     },
@@ -686,7 +687,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
       initData: async (knex) => {
         await knex("t_videoModel").insert([
           {
-            id: 1,
             manufacturer: "volcengine",
             model: "doubao-seedance-1-5-pro-251215",
             durationResolutionMap: JSON.stringify([{ duration: [4, 5, 6, 7, 8, 9, 10, 11, 12], resolution: ["480p", "720p", "1080p"] }]),
@@ -695,7 +695,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["text", "endFrameOptional"]),
           },
           {
-            id: 2,
             manufacturer: "volcengine",
             model: "doubao-seedance-1-0-pro-250528",
             durationResolutionMap: JSON.stringify([{ duration: [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], resolution: ["480p", "720p", "1080p"] }]),
@@ -704,7 +703,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["text", "endFrameOptional"]),
           },
           {
-            id: 3,
             manufacturer: "volcengine",
             model: "doubao-seedance-1-0-pro-fast-251015",
             durationResolutionMap: JSON.stringify([{ duration: [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], resolution: ["480p", "720p", "1080p"] }]),
@@ -713,7 +711,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["text", "singleImage"]),
           },
           {
-            id: 4,
             manufacturer: "volcengine",
             model: "doubao-seedance-1-0-lite-i2v-250428",
             durationResolutionMap: JSON.stringify([{ duration: [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], resolution: ["480p", "720p", "1080p"] }]),
@@ -722,7 +719,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["endFrameOptional", "reference"]),
           },
           {
-            id: 5,
             manufacturer: "volcengine",
             model: "doubao-seedance-1-0-lite-t2v-250428",
             durationResolutionMap: JSON.stringify([{ duration: [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], resolution: ["480p", "720p", "1080p"] }]),
@@ -731,97 +727,46 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["text"]),
           },
           {
-            id: 6,
             manufacturer: "kling",
             model: "kling-v1(STD)",
             durationResolutionMap: JSON.stringify([{ duration: [5, 10], resolution: ["720p"] }]),
             aspectRatio: JSON.stringify(["16:9", "1:1", "9:16"]),
             audio: 0,
-            type: JSON.stringify(["text"]),
+            type: JSON.stringify(["text", "startEndRequired"]),
           },
           {
-            id: 7,
-            manufacturer: "kling",
-            model: "kling-v1(STD)",
-            durationResolutionMap: JSON.stringify([{ duration: [5, 10], resolution: ["720p"] }]),
-            aspectRatio: JSON.stringify([]),
-            audio: 0,
-            type: JSON.stringify(["startEndRequired"]),
-          },
-          {
-            id: 8,
             manufacturer: "kling",
             model: "kling-v1(PRO)",
             durationResolutionMap: JSON.stringify([{ duration: [5, 10], resolution: ["1080p"] }]),
             aspectRatio: JSON.stringify(["16:9", "1:1", "9:16"]),
             audio: 0,
-            type: JSON.stringify(["text"]),
+            type: JSON.stringify(["text", "startEndRequired"]),
           },
           {
-            id: 9,
-            manufacturer: "kling",
-            model: "kling-v1(PRO)",
-            durationResolutionMap: JSON.stringify([{ duration: [5, 10], resolution: ["1080p"] }]),
-            aspectRatio: JSON.stringify([]),
-            audio: 0,
-            type: JSON.stringify(["startEndRequired"]),
-          },
-          {
-            id: 10,
             manufacturer: "kling",
             model: "kling-v1-6(PRO)",
             durationResolutionMap: JSON.stringify([{ duration: [5, 10], resolution: ["1080p"] }]),
             aspectRatio: JSON.stringify(["16:9", "1:1", "9:16"]),
             audio: 0,
-            type: JSON.stringify(["text"]),
+            type: JSON.stringify(["text", "startEndRequired"]),
           },
           {
-            id: 11,
-            manufacturer: "kling",
-            model: "kling-v1-6(PRO)",
-            durationResolutionMap: JSON.stringify([{ duration: [5, 10], resolution: ["1080p"] }]),
-            aspectRatio: JSON.stringify([]),
-            audio: 0,
-            type: JSON.stringify(["startEndRequired"]),
-          },
-          {
-            id: 12,
             manufacturer: "kling",
             model: "kling-v2-5-turbo(PRO)",
             durationResolutionMap: JSON.stringify([{ duration: [5, 10], resolution: ["1080p"] }]),
             aspectRatio: JSON.stringify(["16:9", "1:1", "9:16"]),
             audio: 0,
-            type: JSON.stringify(["text"]),
+            type: JSON.stringify(["text", "startEndRequired"]),
           },
           {
-            id: 13,
-            manufacturer: "kling",
-            model: "kling-v2-5-turbo(PRO)",
-            durationResolutionMap: JSON.stringify([{ duration: [5, 10], resolution: ["1080p"] }]),
-            aspectRatio: JSON.stringify([]),
-            audio: 0,
-            type: JSON.stringify(["startEndRequired"]),
-          },
-          {
-            id: 14,
             manufacturer: "kling",
             model: "kling-v2-6(PRO)",
             durationResolutionMap: JSON.stringify([{ duration: [5, 10], resolution: ["1080p"] }]),
             aspectRatio: JSON.stringify(["16:9", "1:1", "9:16"]),
             audio: 0,
-            type: JSON.stringify(["text"]),
+            type: JSON.stringify(["text", "startEndRequired"]),
           },
           {
-            id: 15,
-            manufacturer: "kling",
-            model: "kling-v2-6(PRO)",
-            durationResolutionMap: JSON.stringify([{ duration: [5, 10], resolution: ["1080p"] }]),
-            aspectRatio: JSON.stringify([]),
-            audio: 0,
-            type: JSON.stringify(["startEndRequired"]),
-          },
-          {
-            id: 16,
             manufacturer: "vidu",
             model: "viduq3-pro",
             durationResolutionMap: JSON.stringify([
@@ -829,21 +774,9 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             ]),
             aspectRatio: JSON.stringify(["16:9", "9:16", "3:4", "4:3", "1:1"]),
             audio: 1,
-            type: JSON.stringify(["text"]),
+            type: JSON.stringify(["text", "singleImage"]),
           },
           {
-            id: 17,
-            manufacturer: "vidu",
-            model: "viduq3-pro",
-            durationResolutionMap: JSON.stringify([
-              { duration: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], resolution: ["540p", "720p", "1080p"] },
-            ]),
-            aspectRatio: JSON.stringify([]),
-            audio: 1,
-            type: JSON.stringify(["singleImage"]),
-          },
-          {
-            id: 18,
             manufacturer: "vidu",
             model: "viduq2-pro-fast",
             durationResolutionMap: JSON.stringify([{ duration: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], resolution: ["720p", "1080p"] }]),
@@ -852,61 +785,30 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["singleImage", "startEndRequired"]),
           },
           {
-            id: 19,
-            manufacturer: "vidu",
-            model: "viduq2-pro",
-            durationResolutionMap: JSON.stringify([{ duration: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], resolution: ["540p", "720p", "1080p"] }]),
-            aspectRatio: JSON.stringify(["16:9", "9:16", "3:4", "4:3", "1:1"]),
-            audio: 0,
-            type: JSON.stringify(["text"]),
-          },
-          {
-            id: 20,
             manufacturer: "vidu",
             model: "viduq2-pro",
             durationResolutionMap: JSON.stringify([{ duration: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], resolution: ["540p", "720p", "1080p"] }]),
             aspectRatio: JSON.stringify([]),
             audio: 0,
-            type: JSON.stringify(["singleImage", "reference", "startEndRequired"]),
+            type: JSON.stringify(["singleImage", "reference", "startEndRequired", "text"]),
           },
           {
-            id: 21,
-            manufacturer: "vidu",
-            model: "viduq2-turbo",
-            durationResolutionMap: JSON.stringify([{ duration: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], resolution: ["540p", "720p", "1080p"] }]),
-            aspectRatio: JSON.stringify(["16:9", "9:16", "3:4", "4:3", "1:1"]),
-            audio: 0,
-            type: JSON.stringify(["text"]),
-          },
-          {
-            id: 22,
             manufacturer: "vidu",
             model: "viduq2-turbo",
             durationResolutionMap: JSON.stringify([{ duration: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], resolution: ["540p", "720p", "1080p"] }]),
             aspectRatio: JSON.stringify([]),
             audio: 0,
-            type: JSON.stringify(["singleImage", "reference", "startEndRequired"]),
+            type: JSON.stringify(["singleImage", "reference", "startEndRequired", "text"]),
           },
           {
-            id: 23,
-            manufacturer: "vidu",
-            model: "viduq1",
-            durationResolutionMap: JSON.stringify([{ duration: [5], resolution: ["1080p"] }]),
-            aspectRatio: JSON.stringify(["16:9", "9:16", "1:1"]),
-            audio: 0,
-            type: JSON.stringify(["text"]),
-          },
-          {
-            id: 24,
             manufacturer: "vidu",
             model: "viduq1",
             durationResolutionMap: JSON.stringify([{ duration: [5], resolution: ["1080p"] }]),
             aspectRatio: JSON.stringify([]),
             audio: 0,
-            type: JSON.stringify(["singleImage", "reference", "startEndRequired"]),
+            type: JSON.stringify(["singleImage", "reference", "startEndRequired", "text"]),
           },
           {
-            id: 25,
             manufacturer: "vidu",
             model: "viduq1-classic",
             durationResolutionMap: JSON.stringify([{ duration: [5], resolution: ["1080p"] }]),
@@ -915,7 +817,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["singleImage", "startEndRequired"]),
           },
           {
-            id: 26,
             manufacturer: "vidu",
             model: "vidu2.0",
             durationResolutionMap: JSON.stringify([
@@ -927,7 +828,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["singleImage", "reference", "startEndRequired"]),
           },
           {
-            id: 27,
             manufacturer: "wan",
             model: "wan2.6-t2v",
             durationResolutionMap: JSON.stringify([{ duration: [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], resolution: ["720p", "1080p"] }]),
@@ -936,7 +836,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["text"]),
           },
           {
-            id: 28,
             manufacturer: "wan",
             model: "wan2.5-t2v-preview",
             durationResolutionMap: JSON.stringify([{ duration: [5, 10], resolution: ["480p", "720p", "1080p"] }]),
@@ -945,7 +844,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["text"]),
           },
           {
-            id: 29,
             manufacturer: "wan",
             model: "wan2.2-t2v-plus",
             durationResolutionMap: JSON.stringify([{ duration: [5], resolution: ["480p", "1080p"] }]),
@@ -954,7 +852,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["text"]),
           },
           {
-            id: 30,
             manufacturer: "wan",
             model: "wanx2.1-t2v-turbo",
             durationResolutionMap: JSON.stringify([{ duration: [5], resolution: ["480p", "720p"] }]),
@@ -963,7 +860,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["text"]),
           },
           {
-            id: 31,
             manufacturer: "wan",
             model: "wanx2.1-t2v-plus",
             durationResolutionMap: JSON.stringify([{ duration: [5], resolution: ["720p"] }]),
@@ -972,7 +868,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["text"]),
           },
           {
-            id: 32,
             manufacturer: "wan",
             model: "wan2.6-i2v-flash",
             durationResolutionMap: JSON.stringify([{ duration: [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], resolution: ["720p", "1080p"] }]),
@@ -981,7 +876,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["singleImage"]),
           },
           {
-            id: 33,
             manufacturer: "wan",
             model: "wan2.6-i2v",
             durationResolutionMap: JSON.stringify([{ duration: [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], resolution: ["720p", "1080p"] }]),
@@ -990,7 +884,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["singleImage"]),
           },
           {
-            id: 34,
             manufacturer: "wan",
             model: "wan2.5-i2v-preview",
             durationResolutionMap: JSON.stringify([{ duration: [5, 10], resolution: ["480p", "720p", "1080p"] }]),
@@ -999,7 +892,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["singleImage"]),
           },
           {
-            id: 35,
             manufacturer: "wan",
             model: "wan2.2-i2v-flash",
             durationResolutionMap: JSON.stringify([{ duration: [5], resolution: ["480p", "720p", "1080p"] }]),
@@ -1008,7 +900,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["singleImage"]),
           },
           {
-            id: 36,
             manufacturer: "wan",
             model: "wan2.2-i2v-plus",
             durationResolutionMap: JSON.stringify([{ duration: [5], resolution: ["480p", "1080p"] }]),
@@ -1017,7 +908,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["singleImage"]),
           },
           {
-            id: 37,
             manufacturer: "wan",
             model: "wanx2.1-i2v-plus",
             durationResolutionMap: JSON.stringify([{ duration: [5], resolution: ["720p"] }]),
@@ -1026,7 +916,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["singleImage"]),
           },
           {
-            id: 38,
             manufacturer: "wan",
             model: "wanx2.1-i2v-turbo",
             durationResolutionMap: JSON.stringify([{ duration: [3, 4, 5], resolution: ["480p", "720p"] }]),
@@ -1035,7 +924,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["singleImage"]),
           },
           {
-            id: 39,
             manufacturer: "wan",
             model: "wan2.2-kf2v-flash",
             durationResolutionMap: JSON.stringify([{ duration: [5], resolution: ["480p", "720p", "1080p"] }]),
@@ -1044,7 +932,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["startEndRequired"]),
           },
           {
-            id: 40,
             manufacturer: "wan",
             model: "wanx2.1-kf2v-plus",
             durationResolutionMap: JSON.stringify([{ duration: [5], resolution: ["720p"] }]),
@@ -1053,7 +940,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["startEndRequired"]),
           },
           {
-            id: 41,
             manufacturer: "gemini",
             model: "veo-3.1-generate-preview",
             durationResolutionMap: JSON.stringify([
@@ -1065,7 +951,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["text", "singleImage", "startEndRequired", "endFrameOptional", "reference"]),
           },
           {
-            id: 42,
             manufacturer: "gemini",
             model: "veo-3.1-fast-generate-preview",
             durationResolutionMap: JSON.stringify([
@@ -1077,7 +962,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["text", "singleImage", "startEndRequired", "endFrameOptional", "reference"]),
           },
           {
-            id: 43,
             manufacturer: "gemini",
             model: "veo-3.0-generate-preview",
             durationResolutionMap: JSON.stringify([
@@ -1089,7 +973,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["text", "singleImage"]),
           },
           {
-            id: 44,
             manufacturer: "gemini",
             model: "veo-3.0-fast-generate-preview",
             durationResolutionMap: JSON.stringify([
@@ -1101,7 +984,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["text", "singleImage"]),
           },
           {
-            id: 45,
             manufacturer: "gemini",
             model: "veo-2.0-generate-001",
             durationResolutionMap: JSON.stringify([{ duration: [5, 6, 7, 8], resolution: ["720p"] }]),
@@ -1110,34 +992,30 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["text", "singleImage"]),
           },
           {
-            id: 46,
             manufacturer: "runninghub",
             model: "sora-2",
             durationResolutionMap: JSON.stringify([{ duration: [10, 15], resolution: [] }]),
             aspectRatio: JSON.stringify(["16:9", "9:16"]),
             audio: 0,
-            type: JSON.stringify(["singleImage", "text"]),
+            type: JSON.stringify(["singleImage", "text", "multiImage"]),
           },
           {
-            id: 47,
             manufacturer: "runninghub",
             model: "sora-2-pro",
             durationResolutionMap: JSON.stringify([{ duration: [15, 25], resolution: [] }]),
             aspectRatio: JSON.stringify(["16:9", "9:16"]),
             audio: 0,
-            type: JSON.stringify(["singleImage", "text"]),
+            type: JSON.stringify(["singleImage", "text", "multiImage"]),
           },
           {
-            id: 48,
             manufacturer: "grsai",
             model: "sora-2",
             durationResolutionMap: JSON.stringify([{ duration: [10, 15], resolution: [] }]),
             aspectRatio: JSON.stringify(["16:9", "9:16"]),
             audio: 0,
-            type: JSON.stringify(["singleImage", "text"]),
+            type: JSON.stringify(["singleImage", "text", "multiImage"]),
           },
           {
-            id: 49,
             manufacturer: "grsai",
             model: "veo3.1-pro",
             durationResolutionMap: JSON.stringify([]),
@@ -1147,7 +1025,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
           },
 
           {
-            id: 50,
             manufacturer: "grsai",
             model: "veo3.1-pro-1080p",
             durationResolutionMap: JSON.stringify([]),
@@ -1156,7 +1033,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["startEndRequired", "text"]),
           },
           {
-            id: 51,
             manufacturer: "grsai",
             model: "veo3.1-pro-4k",
             durationResolutionMap: JSON.stringify([]),
@@ -1165,7 +1041,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["startEndRequired", "text"]),
           },
           {
-            id: 52,
             manufacturer: "grsai",
             model: "veo3.1-fast",
             durationResolutionMap: JSON.stringify([]),
@@ -1174,7 +1049,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["startEndRequired", "text"]),
           },
           {
-            id: 53,
             manufacturer: "grsai",
             model: "veo3.1-fast-1080p",
             durationResolutionMap: JSON.stringify([]),
@@ -1183,7 +1057,6 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             type: JSON.stringify(["startEndRequired", "text"]),
           },
           {
-            id: 54,
             manufacturer: "grsai",
             model: "veo3.1-fast-4k",
             durationResolutionMap: JSON.stringify([]),
@@ -1191,6 +1064,153 @@ export default async (knex: Knex, forceInit: boolean = false): Promise<void> =>
             audio: 0,
             type: JSON.stringify(["startEndRequired", "text"]),
           },
+
+          {
+            manufacturer: "formal",
+            model: "Seedance-1.5-Pro",
+            durationResolutionMap: JSON.stringify([{ duration: [4, 5, 6, 7, 8, 9, 10, 11, 12], resolution: ["480p", "720p", "1080p"] }]),
+            aspectRatio: JSON.stringify(["16:9", "9:16"]),
+            audio: 1,
+            type: JSON.stringify(["endFrameOptional", "text"]),
+          },
+
+          {
+            manufacturer: "formal",
+            model: "Seedance-1.0-Pro",
+            durationResolutionMap: JSON.stringify([{ duration: [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], resolution: ["480p", "720p", "1080p"] }]),
+            aspectRatio: JSON.stringify(["16:9", "9:16"]),
+            audio: 0,
+            type: JSON.stringify(["text", "endFrameOptional"]),
+          },
+          {
+            manufacturer: "formal",
+            model: "Seedance-1.0-Pro-Fast",
+            durationResolutionMap: JSON.stringify([{ duration: [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], resolution: ["480p", "720p", "1080p"] }]),
+            aspectRatio: JSON.stringify(["16:9", "9:16"]),
+            audio: 0,
+            type: JSON.stringify(["text", "singleImage"]),
+          },
+          {
+            manufacturer: "formal",
+            model: "Seedance-1.0-Lite-I2V",
+            durationResolutionMap: JSON.stringify([{ duration: [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], resolution: ["480p", "720p", "1080p"] }]),
+            aspectRatio: JSON.stringify([]),
+            audio: 0,
+            type: JSON.stringify(["endFrameOptional", "reference"]),
+          },
+          {
+            manufacturer: "formal",
+            model: "Seedance-1.0-Lite-T2V",
+            durationResolutionMap: JSON.stringify([{ duration: [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], resolution: ["480p", "720p", "1080p"] }]),
+            aspectRatio: JSON.stringify(["16:9", "9:16"]),
+            audio: 0,
+            type: JSON.stringify(["text"]),
+          },
+
+          {
+            manufacturer: "formal",
+            model: "ViduQ3-turbo",
+            durationResolutionMap: JSON.stringify([
+              { duration: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], resolution: ["540p", "720p", "1080p"] },
+            ]),
+            aspectRatio: JSON.stringify(["16:9", "9:16", "3:4", "4:3", "1:1"]),
+            audio: 1,
+            type: JSON.stringify(["text", "singleImage"]),
+          },
+          {
+            manufacturer: "formal",
+            model: "ViduQ3-pro",
+            durationResolutionMap: JSON.stringify([
+              { duration: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], resolution: ["540p", "720p", "1080p"] },
+            ]),
+            aspectRatio: JSON.stringify(["16:9", "9:16", "3:4", "4:3", "1:1"]),
+            audio: 1,
+            type: JSON.stringify(["text", "singleImage"]),
+          },
+          {
+            manufacturer: "formal",
+            model: "ViduQ2-pro-fast",
+            durationResolutionMap: JSON.stringify([{ duration: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], resolution: ["720p", "1080p"] }]),
+            aspectRatio: JSON.stringify([]),
+            audio: 0,
+            type: JSON.stringify(["singleImage", "startEndRequired"]),
+          },
+          {
+            manufacturer: "formal",
+            model: "ViduQ2-pro",
+            durationResolutionMap: JSON.stringify([{ duration: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], resolution: ["540p", "720p", "1080p"] }]),
+            aspectRatio: JSON.stringify([]),
+            audio: 0,
+            type: JSON.stringify(["singleImage", "reference", "startEndRequired", "text"]),
+          },
+          {
+            manufacturer: "formal",
+            model: "ViduQ2-turbo",
+            durationResolutionMap: JSON.stringify([{ duration: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], resolution: ["540p", "720p", "1080p"] }]),
+            aspectRatio: JSON.stringify([]),
+            audio: 0,
+            type: JSON.stringify(["singleImage", "reference", "startEndRequired", "text"]),
+          },
+          {
+            manufacturer: "formal",
+            model: "ViduQ2",
+            durationResolutionMap: JSON.stringify([{ duration: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], resolution: ["540p", "720p", "1080p"] }]),
+            aspectRatio: JSON.stringify([]),
+            audio: 0,
+            type: JSON.stringify(["singleImage", "reference", "startEndRequired", "text"]),
+          },
+          {
+            manufacturer: "formal",
+            model: "ViduQ1",
+            durationResolutionMap: JSON.stringify([{ duration: [5], resolution: ["1080p"] }]),
+            aspectRatio: JSON.stringify([]),
+            audio: 0,
+            type: JSON.stringify(["singleImage", "reference", "startEndRequired", "text"]),
+          },
+          {
+            manufacturer: "formal",
+            model: "ViduQ1-classic",
+            durationResolutionMap: JSON.stringify([{ duration: [5], resolution: ["1080p"] }]),
+            aspectRatio: JSON.stringify([]),
+            audio: 0,
+            type: JSON.stringify(["singleImage", "startEndRequired"]),
+          },
+          {
+            manufacturer: "formal",
+            model: "Vidu2.0",
+            durationResolutionMap: JSON.stringify([
+              { duration: [4], resolution: ["360p", "720p", "1080p"] },
+              { duration: [8], resolution: ["720p"] },
+            ]),
+            aspectRatio: JSON.stringify([]),
+            audio: 0,
+            type: JSON.stringify(["singleImage", "reference", "startEndRequired"]),
+          },
+
+          {
+            manufacturer: "formal",
+            model: "Hailuo-2.3-I2V",
+            durationResolutionMap: JSON.stringify([{ duration: [6, 7, 8, 9, 10], resolution: ["1080p"] }]),
+            aspectRatio: JSON.stringify(["16:9", "9:16"]),
+            audio: 0,
+            type: JSON.stringify(["endFrameOptional"]),
+          },
+          {
+            manufacturer: "formal",
+            model: "Hailuo-2.3-Fast",
+            durationResolutionMap: JSON.stringify([{ duration: [6, 7, 8, 9, 10], resolution: ["1080p"] }]),
+            aspectRatio: JSON.stringify(["16:9", "9:16"]),
+            audio: 0,
+            type: JSON.stringify(["endFrameOptional"]),
+          },
+          {
+            manufacturer: "formal",
+            model: "Hailuo-2.3-T2V",
+            durationResolutionMap: JSON.stringify([{ duration: [6, 7, 8, 9, 10], resolution: ["1080p"] }]),
+            aspectRatio: JSON.stringify(["16:9", "9:16"]),
+            audio: 0,
+            type: JSON.stringify(["text"]),
+          },
         ]);
       },
     },

src/routes/assets/generateAssets.ts

@@ -40,7 +40,7 @@ export default router.post(
     const { id, type, projectId, base64, prompt, name } = req.body;
 
     //获取风格
-    const project = await u.db("t_project").where("id", projectId).select("artStyle", "type", "intro").first();
+    const project = await u.db("t_project").where("id", projectId).select("artStyle", "type", "intro", "videoRatio").first();
     if (!project) return res.status(500).send(success({ message: "项目为空" }));
 
     const promptsList = await u
@@ -137,7 +137,7 @@ export default router.post(
           prompt: userPrompt,
           imageBase64: base64 ? [base64] : [],
           size: "2K",
-          aspectRatio: "16:9",
+          aspectRatio: project.videoRatio ?? "16:9",
           taskClass: taskClass,
           name: name,
           describe: prompt,

src/routes/other/testAI.ts

@@ -48,6 +48,7 @@ export default router.post(
       );
       res.status(200).send(success(reply));
     } catch (err) {
+      console.log("%c Line:51 🍬 err", "background:#465975", err);
       const msg = u.error(err).message;
       console.error(msg);
       res.status(500).send(error(msg));

src/routes/other/testImage.ts

@@ -23,7 +23,7 @@ export default router.post(
             "一张16:9比例的图片，完美等分为2x2四宫格布局，各区域无缝衔接：\n左上宫格：一只可爱的猫，毛发蓬松，眼睛明亮，姿态俏皮\n右上宫格：一只友善的狗，金毛犬，表情愉悦，摇着尾巴\n左下宫格：一头健壮的牛，田园背景，目光温和，皮毛光泽\n右下宫格：一匹骏马，姿态优雅，鬃毛飘逸，肌肉健美\n风格要求：四个宫格风格统一，色彩鲜艳饱和，高清画质，细节清晰锐利，专业插画风格，线条干净，统一的左上方光源，柔和阴影，和谐配色，卡通/半写实风格，宫格间用白色或浅灰细线分隔",
           imageBase64: [],
           aspectRatio: "9:16",
-          size: "1K",
+          size: "4K",
           taskClass: "测试任务",
           name: "测试图片生成",
           describe: "测试语言模型生成图片",
@@ -38,6 +38,7 @@ export default router.post(
       );
       res.status(200).send(success(image));
     } catch (err) {
+      console.log("%c Line:41 🍖 err", "background:#fca650", err);
       const msg = u.error(err).message;
       console.error(msg);
       res.status(500).send(error(msg));

src/routes/project/addProject.ts

@@ -9,7 +9,7 @@ const router = express.Router();
 export default router.post(
   "/",
   validateFields({
-    projectType: z.string(),
+    projectType: z.string().optional(),
     name: z.string(),
     intro: z.string(),
     type: z.string(),
@@ -20,7 +20,6 @@ export default router.post(
     const { projectType, name, intro, type, artStyle, videoRatio } = req.body;
 
     await u.db("t_project").insert({
-      projectType,
       name,
       intro,
       type,

src/routes/project/delProject.ts

@@ -27,7 +27,7 @@ export default router.post(
     await u.db("t_novel").where("projectId", id).delete();
     await u.db("t_storyline").where("projectId", id).delete();
     await u.db("t_outline").where("projectId", id).delete();
-    await u.db("t_myTasks").where("projectId", id).delete();
+    // await u.db("t_myTasks").where("projectId", id).delete();
 
     await u.db("t_script").where("projectId", id).delete();
     await u.db("t_assets").where("projectId", id).delete();

src/routes/project/updateProject.ts

@@ -24,7 +24,6 @@ export default router.post(
       type,
       artStyle,
       videoRatio,
-      projectType,
     });
 
     res.status(200).send(success({ message: "修改成功" }));

src/routes/storyboard/generateVideoPrompt.ts

@@ -99,9 +99,9 @@ const prompt = `
 `;
 async function urlToBase64(imageUrl: string): Promise<string> {
   const response = await axios.get(imageUrl, { responseType: "arraybuffer" });
-  const contentType = response.headers["content-type"] || "image/png";
+  const contentType = response.headers["content-type"] || "image/jpg";
   const base64 = Buffer.from(response.data, "binary").toString("base64");
-  return `data:${contentType};base64,${base64}`;
+  return `${base64}`;
 }
 // 生成单个分镜提示
 async function generateSingleVideoPrompt({
@@ -113,6 +113,8 @@ async function generateSingleVideoPrompt({
   storyboardPrompt: string;
   ossPath: string;
 }): Promise<{ content: string; time: number; name: string }> {
+  console.log("%c Line:116 🍭 ossPath", "background:#6ec1c2", ossPath);
+
   const messages: any[] = [
     {
       role: "system",
@@ -134,8 +136,10 @@ async function generateSingleVideoPrompt({
   ];
 
   try {
+    console.log("%c Line:140 🍩", "background:#4fff4B");
     const apiConfig = await u.getPromptAi("videoPrompt");
 
+    console.log("%c Line:143 🍑", "background:#e41a6a");
     const result = await u.ai.text.invoke(
       {
         messages,
@@ -159,6 +163,7 @@ async function generateSingleVideoPrompt({
 
     return result;
   } catch (err: any) {
+    console.log("%c Line:167 🥤 err", "background:#465975", err);
     console.error("generateSingleVideoPrompt 调用失败:", err?.message || err);
     throw new Error(`生成视频提示词失败: ${err?.message || "未知错误"}`);
   }

src/routes/video/generateVideo.ts

@@ -35,11 +35,18 @@ export default router.post(
       return res.status(500).send(error("请先选择图片"));
     }
     const configData = await u.db("t_videoConfig").where("id", configId).first();
-
     if (!configData) {
       return res.status(500).send(error("视频配置不存在"));
     }
-    if (configData.manufacturer == "runninghub") {
+    // 优先使用视频配置中的AI配置ID查询,查不到再使用传入的aiConfigId
+    let aiConfigData = null;
+    if (configData.aiConfigId) {
+      aiConfigData = await u.db("t_config").where("id", configData.aiConfigId).first();
+    }
+    if (!aiConfigData || !aiConfigData?.model) {
+      return res.status(500).send(error("模型不存在"));
+    }
+    if (aiConfigData.model?.includes("sora")) {
       if (filePath.length > 1) {
         const gridUrl = await sharpProcessingImage(filePath, projectId);
         if (gridUrl) {
@@ -49,18 +56,6 @@ export default router.post(
       }
     }
 
-    // 优先使用视频配置中的AI配置ID查询,查不到再使用传入的aiConfigId
-    let aiConfigData = null;
-    if (configData.aiConfigId) {
-      aiConfigData = await u.db("t_config").where("id", configData.aiConfigId).first();
-    }
-    if (!aiConfigData) {
-      aiConfigData = await u.db("t_config").where("id", aiConfigId).first();
-    }
-
-    if (!aiConfigData) {
-      return res.status(500).send(error("模型配置不存在"));
-    }
     // 过滤掉空值
     let fileUrl = filePath.filter((p: string) => p && p.trim() !== "");
 
@@ -201,7 +196,7 @@ ${prompt}
       await u.db("t_video").where("id", videoId).update({ state: -1 });
     }
   } catch (err) {
-    console.error(`视频生成失败 videoId=${videoId}:`, err);
+    // console.error(`视频生成失败 videoId=${videoId}:`, (err as any).response);
     await u
       .db("t_video")
       .where("id", videoId)

src/types/database.d.ts

@@ -1,4 +1,4 @@
-// @db-hash 8171d26b6ac1f411a6ec46a0381b821a
+// @db-hash a7e02eb0ccc2f0608c1cafc9191f3291
 //该文件由脚本自动生成，请勿手动修改
 
 export interface t_aiModelMap {
@@ -64,17 +64,6 @@ export interface t_imageModel {
   'model'?: string | null;
   'type'?: string | null;
 }
-export interface t_myTasks {
-  'describe'?: string | null;
-  'id'?: number;
-  'model'?: string | null;
-  'projectId'?: number | null;
-  'reason'?: string | null;
-  'relatedObjects'?: string | null;
-  'startTime'?: number | null;
-  'state'?: string | null;
-  'taskClass'?: string | null;
-}
 export interface t_novel {
   'chapter'?: string | null;
   'chapterData'?: string | null;
@@ -96,7 +85,6 @@ export interface t_project {
   'id'?: number | null;
   'intro'?: string | null;
   'name'?: string | null;
-  'projectType'?: string | null;
   'type'?: string | null;
   'userId'?: number | null;
   'videoRatio'?: string | null;
@@ -197,7 +185,6 @@ export interface DB {
   "t_config": t_config;
   "t_image": t_image;
   "t_imageModel": t_imageModel;
-  "t_myTasks": t_myTasks;
   "t_novel": t_novel;
   "t_outline": t_outline;
   "t_project": t_project;

src/utils/ai/image/index.ts

@@ -13,7 +13,7 @@ import gemini from "./owned/gemini";
 import modelScope from "./owned/modelScope";
 import grsai from "./owned/grsai";
 import { tr } from "zod/locales";
-
+import formal from "./owned/formal";
 const urlToBase64 = async (url: string): Promise<string> => {
   const res = await axios.get(url, { responseType: "arraybuffer" });
   const base64 = Buffer.from(res.data).toString("base64");
@@ -31,6 +31,7 @@ const modelInstance = {
   modelScope,
   other,
   grsai,
+  formal,
 } as const;
 
 export default async (input: ImageConfig, config: AIConfig) => {
@@ -46,15 +47,15 @@ export default async (input: ImageConfig, config: AIConfig) => {
   //   if (!owned) throw new Error("不支持的模型");
   // }
   //添加到任务中心
-  const [taskId] = await u.db("t_myTasks").insert({
+  // const [taskId] = await u.db("t_myTasks").insert({
-    taskClass: input.taskClass,
+  //   taskClass: input.taskClass,
-    relatedObjects: input.name,
+  //   relatedObjects: input.name,
-    model: config?.model ? config.model : "未知模型",
+  //   model: config?.model ? config.model : "未知模型",
-    describe: input.describe ? input.describe : "无",
+  //   describe: input.describe ? input.describe : "无",
-    state: "进行中",
+  //   state: "进行中",
-    startTime: Date.now(),
+  //   startTime: Date.now(),
-    projectId: input.projectId,
+  //   projectId: input.projectId,
-  });
+  // });
   // 补充图片的 base64 内容类型字符串
   if (input.imageBase64 && input.imageBase64.length > 0) {
     input.imageBase64 = input.imageBase64.map((img) => {
@@ -82,15 +83,15 @@ export default async (input: ImageConfig, config: AIConfig) => {
     let imageUrl = await manufacturerFn(input, { model, apiKey, baseURL });
     if (!input.resType) input.resType = "b64";
     if (input.resType === "b64" && imageUrl.startsWith("http")) imageUrl = await urlToBase64(imageUrl);
-    await u.db("t_myTasks").where("id", taskId).update({
+    // await u.db("t_myTasks").where("id", taskId).update({
-      state: "已完成",
+    //   state: "已完成",
-    });
+    // });
     return imageUrl;
   } catch (error: any) {
-    await u.db("t_myTasks").where("id", taskId).update({
+    // await u.db("t_myTasks").where("id", taskId).update({
-      state: "生成失败",
+    //   state: "生成失败",
-      reason: error.message,
+    //   reason: error.message,
-    });
+    // });
     throw error;
   }
 };

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

@@ -0,0 +1,114 @@
+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;
+  });
+}
+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 = "http://192.168.0.74:3000/imagegenerator/task|http://192.168.0.74:3000/imagegenerator/task/{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": "1328*1328",
+    },
+  };
+  const modelSizeMap = {
+    "Qwen-Image": {
+      "16:9": "1664*928",
+      "9:16": "928*1664",
+    },
+    "Z-Image-Turbo": {
+      "16:9": "1024*768",
+      "9:16": "768*1024",
+    },
+  };
+  // 构建完整的提示词
+  const fullPrompt = input.systemPrompt ? `${input.systemPrompt}\n\n${input.prompt}` : input.prompt;
+
+  let mergedImage = input.imageBase64;
+  if (mergedImage && mergedImage.length) {
+    const smallImage = await u.imageTools.mergeImages(mergedImage, "5mb");
+    mergedImage = [smallImage];
+  }
+
+  const size = modelSizeMap?.[config.model]?.[input.size]?.[input.aspectRatio] ?? modelSizeMap?.[config.model]?.[input.size] ?? "1024*1024";
+
+  const taskBody: Record<string, any> = {
+    model: config.model,
+    input: {
+      prompt: fullPrompt,
+      ...(input.imageBase64 && input.imageBase64.length ? { images: input.imageBase64 } : {}),
+    },
+    parameters: {
+      size:"1600*2848",
+    },
+    // negative_prompt: "",
+  };
+
+  const apiKey = config.apiKey.replace("Bearer ", "");
+  try {
+    const { data } = await axios.post(requestUrl, taskBody, { headers: { Authorization: `Bearer ${apiKey}` } });
+    console.log("%c Line:70 🥪 data", "background:#ed9ec7", data);
+
+    if (data.code != "success") throw new Error(`任务提交失败: ${data || "未知错误"}`);
+    const taskId = data.data;
+
+    return await pollTask(async () => {
+      const { data: queryData } = await axios.get(template({ id: taskId }, queryUrl), {
+        headers: { Authorization: `Bearer ${apiKey}` },
+      });
+      console.log("%c Line:77 🍧 data", "background:#f5ce50", data);
+      console.log("%c Line:76 🥑 queryData", "background:#2eafb0", queryData);
+
+      const { status, result_url, fail_reason } = queryData.data || {};
+
+      if (status === "FAILURE") {
+        return { completed: false, error: fail_reason ?? "图片生成失败" };
+      }
+
+      if (status === "SUCCESS") {
+        return { completed: true, url: result_url };
+      }
+
+      return { completed: false };
+    });
+  } catch (error: any) {
+    const msg = u.error(error).message || "图片生成失败";
+    throw new Error(msg);
+  }
+};
+
+async function urlToBase64(url: string): Promise<string> {
+  const res = await axios.get(url, { responseType: "arraybuffer" });
+  const base64 = Buffer.from(res.data).toString("base64");
+  const mimeType = res.headers["content-type"] || "image/png";
+  return `data:${mimeType};base64,${base64}`;
+}

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

@@ -6,7 +6,7 @@ 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");
   if (!input.prompt) throw new Error("缺少提示词");
-
+  
   const options: any = {};
   if (config.apiKey) options.apiKey = config.apiKey;
   if (config?.baseURL) options.baseURL = config.baseURL;

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

@@ -44,7 +44,7 @@ export default async (input: ImageConfig, config: AIConfig): Promise<string> =>
         role: "user",
         content: input.imageBase64.map((i) => ({
           type: "image",
-          image: i,
+          image: i.replace(/^data:image\/[^;]+;base64,/, ""),
         })),
       });
     } else {
@@ -111,8 +111,14 @@ export default async (input: ImageConfig, config: AIConfig): Promise<string> =>
       aspectRatio: input.aspectRatio as "1:1" | "3:4" | "4:3" | "9:16" | "16:9",
       size: sizeMap[input.size] ?? "1024x1024",
     });
+      console.log("%c Line:106 🥚 image", "background:#e41a6a", image);
+      
 
-    return image.base64;
+    if (image.base64.startsWith("data:image/")) {
+      return image.base64;
+    } else {
+      return `data:image/png;base64,${image.base64}`;
+    }
   }
 };
 

src/utils/ai/text/index.ts

@@ -35,7 +35,7 @@ const buildOptions = async (input: AIInput<any>, config: AIConfig = {}) => {
   }
   if (!owned) throw new Error("不支持的厂商");
 
-  const modelInstance = owned.instance({ apiKey, baseURL: baseURL!, name: "xixixi" });
+  const modelInstance = owned.instance({ apiKey: apiKey!, baseURL: baseURL! });
 
   const maxStep = input.maxStep ?? (input.tools ? Object.keys(input.tools).length * 5 : undefined);
   const outputBuilders: Record<string, (schema: any) => any> = {
@@ -61,7 +61,7 @@ const buildOptions = async (input: AIInput<any>, config: AIConfig = {}) => {
   };
 
   const output = input.output ? (outputBuilders[owned.responseFormat]?.(input.output) ?? null) : null;
-  const chatModelManufacturer = ["volcengine", "other", "openai", "modelScope","grsai"];
+  const chatModelManufacturer = ["volcengine", "other", "openai", "modelScope", "grsai"];
   const modelFn = chatModelManufacturer.includes(owned.manufacturer) ? (modelInstance as OpenAIProvider).chat(model!) : modelInstance(model!);
 
   return {
@@ -86,7 +86,7 @@ const ai = Object.create({}) as {
 
 ai.invoke = async (input: AIInput<any>, config: AIConfig) => {
   const options = await buildOptions(input, config);
-  
+
   const result = await generateText(options.config);
   if (options.responseFormat === "object" && input.output) {
     const pattern = /{[^{}]*}|{(?:[^{}]*|{[^{}]*})*}/g;

src/utils/ai/text/modelList.ts

@@ -21,8 +21,7 @@ interface Owned {
     | typeof createZhipu
     | typeof createQwen
     | typeof createGoogleGenerativeAI
-    | typeof createAnthropic
+    | typeof createAnthropic;
-    | typeof createOpenAICompatible;
 }
 const instanceMap = {
   deepSeek: createDeepSeek,
@@ -35,7 +34,8 @@ const instanceMap = {
   modelScope: (options: OpenAIProviderSettings) => createOpenAI({ ...options, headers: { ...options?.headers, "X-ModelScope-Async-Mode": "true" } }),
   xai: createXai,
   other: createOpenAI,
-  grsai:createOpenAI
+  grsai: createOpenAI,
+  formal: createOpenAI,
 };
 const modelList: Owned[] = [
   // DeepSeek

src/utils/ai/video/index.ts

@@ -12,6 +12,8 @@ import gemini from "./owned/gemini";
 import apimart from "./owned/apimart";
 import other from "./owned/other";
 import grsai from "./owned/grsai";
+import formal from "./owned/formal";
+
 const modelInstance = {
   volcengine: volcengine,
   kling: kling,
@@ -22,6 +24,7 @@ const modelInstance = {
   apimart: apimart,
   other: other,
   grsai: grsai,
+  formal: formal,
 } as const;
 
 export default async (input: VideoConfig, config?: AIConfig) => {
@@ -33,15 +36,15 @@ export default async (input: VideoConfig, config?: AIConfig) => {
   // const owned = modelList.find((m) => m.model === model);
   // if (!owned) throw new Error("不支持的模型");
   //添加到任务中心
-  const [taskId] = await u.db("t_myTasks").insert({
+  // const [taskId] = await u.db("t_myTasks").insert({
-    taskClass: input.taskClass,
+  //   taskClass: input.taskClass,
-    relatedObjects: input.name,
+  //   relatedObjects: input.name,
-    model: config?.model ? config.model : "未知模型",
+  //   model: config?.model ? config.model : "未知模型",
-    describe: input.describe ? input.describe : "无",
+  //   describe: input.describe ? input.describe : "无",
-    state: "进行中",
+  //   state: "进行中",
-    startTime: Date.now(),
+  //   startTime: Date.now(),
-    projectId: input.projectId,
+  //   projectId: input.projectId,
-  });
+  // });
   // 补充图片的 base64 内容类型字符串
   if (input.imageBase64 && input.imageBase64.length > 0) {
     input.imageBase64 = input.imageBase64.map((img) => {
@@ -71,15 +74,15 @@ export default async (input: VideoConfig, config?: AIConfig) => {
     try {
       const response = await axios.get(videoUrl, { responseType: "stream" });
       await u.oss.writeFile(input.savePath, response.data);
-      await u.db("t_myTasks").where("id", taskId).update({
+      // await u.db("t_myTasks").where("id", taskId).update({
-        state: "已完成",
+      //   state: "已完成",
-      });
+      // });
       return input.savePath;
     } catch (err: any) {
-      await u.db("t_myTasks").where("id", taskId).update({
+      // await u.db("t_myTasks").where("id", taskId).update({
-        state: "生成失败",
+      //   state: "生成失败",
-        reason: err.message,
+      //   reason: err.message,
-      });
+      // });
       return videoUrl;
     }
   }

src/utils/ai/video/owned/formal.ts

@@ -0,0 +1,120 @@
+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;
+  });
+}
+export default async (input: VideoConfig, 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 = "http://192.168.0.74:3000/videogenerator/generate|http://192.168.0.74:3000/videogenerator/generate/{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>> = {
+    "480P": {
+      "16:9": "832*480",
+      "9:16": "480*332",
+    },
+    "720P": {
+      "16:9": "1280*720",
+      "9:16": "720*1280",
+    },
+    "1080P": {
+      "16:9": "1920*1080",
+      "9:16": "1080*1920",
+    },
+  };
+  // 构建完整的提示词
+  let mergedImage = input.imageBase64;
+  if (mergedImage && mergedImage.length) {
+    const smallImage = await u.imageTools.mergeImages(mergedImage, "5mb");
+    mergedImage = [smallImage];
+  }
+
+  const size = sizeMap[input.resolution]?.[input.aspectRatio] ?? "1280*720";
+  const imageCount: { type: string; image_url: string }[] = [];
+  if (input.imageBase64 && input.imageBase64.length) {
+    input.imageBase64.forEach((i, index) => {
+      imageCount.push({
+        type: "image_url",
+        image_url: { url: i },
+        role: index === 0 ? "first_frame" : "last_frame",
+      });
+    });
+  }
+  const taskBody: Record<string, any> = {
+    model: config.model,
+    content: [
+      {
+        type: "text",
+        text: input.prompt,
+      },
+      ...imageCount,
+    ],
+    // parameters: {
+    //   aspect_ratio: input.aspectRatio,
+    //   size: input.resolution,
+    //   duration: input.duration,
+    // },
+    // ...(typeof input.audio === "boolean" ? { generate_audio: input.audio } : {}),
+  };
+  console.log("%c Line:62 🥑 taskBody", "background:#ea7e5c", taskBody);
+
+  const apiKey = config.apiKey.replace("Bearer ", "");
+  try {
+    const { data } = await axios.post(requestUrl, taskBody, { headers: { Authorization: `Bearer ${apiKey}` } });
+    console.log("%c Line:70 🥪 data", "background:#ed9ec7", data);
+    console.log("%c Line:84 🍐 data.code != uccess", "background:#e41a6a", data.code != "success");
+    console.log("%c Line:83 🍇 data.code", "background:#b03734", data.code);
+
+    if (data.code != "success") throw new Error(`任务提交失败: ${data || "未知错误"}`);
+    const taskId = data.data;
+
+    return await pollTask(async () => {
+      const { data: queryData } = await axios.get(template({ id: taskId }, queryUrl), {
+        headers: { Authorization: `Bearer ${apiKey}` },
+      });
+      console.log("%c Line:77 🍧 data", "background:#f5ce50", queryData);
+
+      const { status, result_url, fail_reason } = queryData.data || {};
+
+      if (status === "FAILURE") {
+        return { completed: false, error: fail_reason ? fail_reason : "视频生成失败" };
+      }
+
+      if (status === "SUCCESS") {
+        return { completed: true, url: result_url };
+      }
+
+      return { completed: false };
+    });
+  } catch (error: any) {
+    console.log("%c Line:105 🍖 error", "background:#ed9ec7", error);
+    const msg = u.error(error).message || "图片生成失败";
+    console.log("%c Line:107 🌽 u.error(error)", "background:#ea7e5c", u.error(error));
+    throw new Error(msg);
+  }
+};
+
+async function urlToBase64(url: string): Promise<string> {
+  const res = await axios.get(url, { responseType: "arraybuffer" });
+  const base64 = Buffer.from(res.data).toString("base64");
+  const mimeType = res.headers["content-type"] || "image/png";
+  return `data:${mimeType};base64,${base64}`;
+}

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

@@ -2,58 +2,145 @@ import "../type";
 import axios from "axios";
 import sharp from "sharp";
 import FormData from "form-data";
+import fs from "fs";
+import path from "path";
+import u from "@/utils";
+
 import { pollTask, validateVideoConfig } from "@/utils/ai/utils";
-import { createOpenAI } from "@ai-sdk/openai";
+function template(replaceObj: Record<string, any>, url: string) {
-import { experimental_generateVideo as generateVideo } from "ai";
+  return url.replace(/\{(\w+)\}/g, (match, varName) => {
+    return replaceObj.hasOwnProperty(varName) ? replaceObj[varName] : match;
+  });
+}
 export default async (input: VideoConfig, config: AIConfig) => {
   if (!config.apiKey) throw new Error("缺少API Key");
   if (!config.baseURL) throw new Error("缺少baseURL");
   // const { owned, images, hasTextType } = validateVideoConfig(input, config);
-  const [requestUrl, queryUrl] = config.baseURL.split("|");
 
   const authorization = `Bearer ${config.apiKey}`;
+  const urls = config.baseURL.split("|");
+  const isThreeUrlMode = urls.length === 3;
+  console.log("%c Line:24 🌭 isThreeUrlMode", "background:#ed9ec7", isThreeUrlMode);
 
-  const formData = new FormData();
+  let requestUrl: string, queryUrl: string, downLoadUrl: string | undefined;
-  formData.append("model", config.model);
+
-  formData.append("prompt", input.prompt);
+  if (isThreeUrlMode) {
-  formData.append("seconds", String(input.duration));
+    [requestUrl, queryUrl, downLoadUrl] = urls;
+  } else {
+    [requestUrl, queryUrl] = urls;
+  }
 
   // 根据 aspectRatio 设置 size
   const sizeMap: Record<string, string> = {
     "16:9": "1280x720",
     "9:16": "720x1280",
   };
-  formData.append("size", sizeMap[input.aspectRatio] || "1920x1080");
+  let resData;
+  let taskId = "";
+  if (isThreeUrlMode) {
+    // 三个地址：使用 FormData 方式
+    const formData = new FormData();
+    formData.append("model", config.model);
+    formData.append("prompt", input.prompt);
+    formData.append("seconds", String(input.duration));
 
-  if (input.imageBase64 && input.imageBase64.length) {
+    const size = sizeMap[input.aspectRatio] || "1280x720";
-    const base64Data = input.imageBase64[0]!.replace(/^data:image\/\w+;base64,/, "");
+    formData.append("size", size);
-    const buffer = Buffer.from(base64Data, "base64");
-    formData.append("input_reference", buffer, { filename: "image.jpg", contentType: "image/jpeg" });
-  }
 
-  const body = {
+    if (input.imageBase64 && input.imageBase64.length) {
-    model: config.model,
+      const base64Data = input.imageBase64[0]!.replace(/^data:image\/\w+;base64,/, "");
-    messages: [
+      const buffer = Buffer.from(base64Data, "base64");
-      {
+
-        role: "user",
+      // 解析尺寸
-        content: [
+      const [width, height] = size.split("x").map(Number);
-          {
+
-            type: "text",
+      // 使用 sharp 调整图片尺寸
-            text: input.prompt,
+      const resizedBuffer = await sharp(buffer).resize(width, height, { fit: "cover" }).jpeg({ quality: 90 }).toBuffer();
-          },
+
-        ],
+      formData.append("input_reference", resizedBuffer, { filename: "image.jpg", contentType: "image/jpeg" });
+    }
+
+    const response = await axios.post(requestUrl, formData, {
+      headers: { Authorization: authorization, ...formData.getHeaders() },
+    });
+
+    taskId = response.data?.task_id || response.data?.id;
+    resData = response.data;
+  } else {
+    // 两个地址：使用 JSON 方式
+
+    const requestBody: any = {
+      model: config.model,
+      prompt: input.prompt,
+      aspect_ratio: input.aspectRatio || "16:9",
+      size: "720p",
+    };
+
+    if (input.imageBase64 && input.imageBase64.length) {
+      requestBody.images = input.imageBase64;
+    }
+
+    const response = await axios.post(requestUrl, JSON.stringify(requestBody), {
+      headers: {
+        Authorization: authorization,
+        "Content-Type": "application/json",
       },
-    ],
+    });
-  };
+    taskId = response.data.id;
-  const { data } = await axios.post(
+    resData = response.data;
-    config.baseURL,
+  }
-    { ...body },
+  console.log("%c Line:87 🥒 taskId", "background:#f5ce50", taskId);
-    {
-      headers: { "Content-Type": "application/json", Authorization: authorization },
-    },
-  );
 
-  console.log("%c Line:49 🥓 data", "background:#ffdd4d", data);
+  if (!taskId) throw new Error(`任务提交失败: ${resData ? JSON.stringify(resData) : "未知错误"}`);
 
-  if (data.status === "FAILED") throw new Error(`任务提交失败: ${data.errorMessage || "未知错误"}`);
+  return await pollTask(async () => {
+    // 构建查询URL，两个地址模式时使用URL参数
+    const finalQueryUrl = isThreeUrlMode ? template({ id: taskId }, queryUrl) : `${queryUrl}?id=${taskId}`;
+
+    const { data: queryData } = await axios.get(finalQueryUrl, {
+      headers: { Authorization: authorization },
+    });
+    console.log("%c Line:100 🥑 queryData", "background:#42b983", queryData);
+
+    if (queryData.status === "completed") {
+      // 下载视频，带重试机制
+      let videoRes;
+      let retries = 3;
+      let lastError;
+
+      for (let i = 0; i < retries; i++) {
+        try {
+          // 构建下载URL
+          const finalDownloadUrl = isThreeUrlMode && downLoadUrl ? template({ id: taskId }, downLoadUrl) : queryData.video_url || queryData.url; // 从响应中获取视频URL
+
+          videoRes = await axios.get(finalDownloadUrl, {
+            headers: isThreeUrlMode ? { Authorization: authorization } : {},
+            responseType: "arraybuffer",
+            timeout: 60 * 1000 * 10, // 60秒超时
+          });
+          break; // 成功则跳出循环
+        } catch (error) {
+          lastError = error;
+          console.error(`视频下载失败，第 ${i + 1}/${retries} 次尝试:`, error);
+          if (i < retries - 1) {
+            // 等待后重试，使用指数退避
+            await new Promise((resolve) => setTimeout(resolve, Math.pow(2, i) * 1000));
+          }
+        }
+      }
+
+      if (!videoRes) {
+        throw new Error(`视频下载失败，已重试 ${retries} 次: ${lastError}`);
+      }
+
+      // 将视频buffer转换为base64或直接返回buffer
+      const savePath = input.savePath.endsWith(".mp4") ? input.savePath : path.join(input.savePath, `other_${Date.now()}.mp4`);
+      await u.oss.writeFile(input.savePath, videoRes.data);
+
+      return { completed: true, url: savePath };
+    }
+    if (queryData.status === "failed") return { completed: false, error: `任务失败: ${queryData.error || "未知错误"}` };
+    // if (queryData.status === "QUEUED" || queryData.status === "RUNNING") return { completed: false };
+    return { completed: false };
+  });
 };

src/utils/ai/video/owned/tempCodeRunnerFile.ts

@@ -0,0 +1 @@
+resizedBuffer

src/utils/ai/video/owned/vidu.ts

@@ -67,6 +67,9 @@ export default async (input: VideoConfig, config: AIConfig) => {
         Authorization: authorization,
       },
     });
+      console.log("%c Line:65 🍢 response", "background:#3f7cff", response);
+      
+
     taskId = response.data.task_id;
   } else {
     // 图生视频
@@ -89,6 +92,8 @@ export default async (input: VideoConfig, config: AIConfig) => {
         Authorization: authorization,
       },
     });
+      console.log("%c Line:90 🍷 response", "background:#2eafb0", response.data);
+
     taskId = response.data.task_id;
   }
 
@@ -103,6 +108,7 @@ export default async (input: VideoConfig, config: AIConfig) => {
         task_ids: [taskId],
       },
     });
+    console.log("%c Line:113 🧀 response.data", "background:#33a5ff", response.data);
 
     const tasks = response.data.tasks;
     if (!tasks || tasks.length === 0) {

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

@@ -46,6 +46,7 @@ export default async (input: VideoConfig, config: AIConfig) => {
       Authorization: authorization,
     },
   });
+    console.log("%c Line:44 🍡 createResponse", "background:#2eafb0", createResponse);
 
   const taskId = createResponse.data.id;
 

src/utils/oss.ts

@@ -66,6 +66,9 @@ class OSS {
    * @throws 路径不在 OSS 根目录内、文件不存在等错误
    */
   async getFile(userRelPath: string): Promise<Buffer> {
+    console.log("%c Line:69 🥔 userRelPath", "background:#ffdd4d", userRelPath);
+    console.log("%c Line:72 🥥 this.rootDir", "background:#ea7e5c", this.rootDir);
+
     await this.ensureInit();
     return fs.readFile(resolveSafeLocalPath(userRelPath, this.rootDir));
   }

yarn.lock

@@ -8,20 +8,20 @@
   integrity sha512-ukTPVhqG4jNzMro2qA9HSCSSVJN3aN7tlb+hfqYCt3ER0yWroeA2VR38MNrOHLQ/cVj+DaIMad0kFCtWWowh/A==
 
 "@ai-sdk/anthropic@^3.0.35":
-  version "3.0.50"
+  version "3.0.58"
-  resolved "https://registry.npmmirror.com/@ai-sdk/anthropic/-/anthropic-3.0.50.tgz#5ffdb638ae5418a2bf53d97448346af7ab77e09a"
+  resolved "https://registry.npmmirror.com/@ai-sdk/anthropic/-/anthropic-3.0.58.tgz#de49aa3cb7e8a0115eb9d42da05f108d23a90822"
-  integrity sha512-BkCUgGTp/iZJuuFBF1wv7GGnrEJg7X7hqbaa+/t4HTBt9dZn3e6NFn5NhPUvo2p5SreUeHEl0As0r2uaVn3K9Q==
+  integrity sha512-/53SACgmVukO4bkms4dpxpRlYhW8Ct6QZRe6sj1Pi5H00hYhxIrqfiLbZBGxkdRvjsBQeP/4TVGsXgH5rQeb8Q==
   dependencies:
     "@ai-sdk/provider" "3.0.8"
-    "@ai-sdk/provider-utils" "4.0.16"
+    "@ai-sdk/provider-utils" "4.0.19"
 
 "@ai-sdk/deepseek@^2.0.17":
-  version "2.0.21"
+  version "2.0.24"
-  resolved "https://registry.npmmirror.com/@ai-sdk/deepseek/-/deepseek-2.0.21.tgz#7a08cb59e25bf5799c3a0461c6f6061a60d22f2e"
+  resolved "https://registry.npmmirror.com/@ai-sdk/deepseek/-/deepseek-2.0.24.tgz#c2e8aa1af5b7e4c7c21b355408ee58f659581163"
-  integrity sha512-swIljtTiEBt5fTmnHftb20MnM06eBEANJzEYAUvU1m3yQH+HcduHxwVMLUtf9M7RqpTrBrAJxLtHHP5kPIVSCQ==
+  integrity sha512-4vOEekW4TAYVHN0qgiwoUOQZhguGwZBiEw8LDeUmpWBm07QkLRAtxYCaSoMiA4hZZojao5mj6NRGEBW1CnDPtg==
   dependencies:
     "@ai-sdk/provider" "3.0.8"
-    "@ai-sdk/provider-utils" "4.0.16"
+    "@ai-sdk/provider-utils" "4.0.19"
 
 "@ai-sdk/devtools@^0.0.11":
   version "0.0.11"
@@ -32,52 +32,52 @@
     "@hono/node-server" "^1.13.7"
     hono "^4.6.14"
 
-"@ai-sdk/gateway@3.0.59":
+"@ai-sdk/gateway@3.0.66":
-  version "3.0.59"
+  version "3.0.66"
-  resolved "https://registry.npmmirror.com/@ai-sdk/gateway/-/gateway-3.0.59.tgz#1ce7933878656a74f132eb6230caaf22786fd5d3"
+  resolved "https://registry.npmmirror.com/@ai-sdk/gateway/-/gateway-3.0.66.tgz#64ad8f7b45acaa4c93c53be2bb39e772e49e31b5"
-  integrity sha512-MbtheWHgEFV/8HL1Z6E3hOAsmP73zZlNFg0F0nJAD0Adnjp4J/plqNK00Y896d+dWTw+r0OXzyov9/2wCFjH0Q==
+  integrity sha512-SIQ0YY0iMuv+07HLsZ+bB990zUJ6S4ujORAh+Jv1V2KGNn73qQKnGO0JBk+w+Res8YqOFSycwDoWcFlQrVxS4A==
   dependencies:
     "@ai-sdk/provider" "3.0.8"
-    "@ai-sdk/provider-utils" "4.0.16"
+    "@ai-sdk/provider-utils" "4.0.19"
     "@vercel/oidc" "3.1.0"
 
-"@ai-sdk/google@^3.0.20":
+"@ai-sdk/google@^3.0.43":
-  version "3.0.34"
+  version "3.0.43"
-  resolved "https://registry.npmmirror.com/@ai-sdk/google/-/google-3.0.34.tgz#5e32b761c9434a0df1046fa8be1c0ffe48f29eac"
+  resolved "https://registry.npmmirror.com/@ai-sdk/google/-/google-3.0.43.tgz#e955d8cb8a598bc75d5aa39d4eaf1cc580dc1ac8"
-  integrity sha512-1tXUr1W5YACXPgtHYWIU3raqMsayp6cMI8NUT4EEzzZSpvHzkkiNWHEr+bGxEGurSUukfo+pE1RKpLwBFOZtJg==
+  integrity sha512-NGCgP5g8HBxrNdxvF8Dhww+UKfqAkZAmyYBvbu9YLoBkzAmGKDBGhVptN/oXPB5Vm0jggMdoLycZ8JReQM8Zqg==
   dependencies:
     "@ai-sdk/provider" "3.0.8"
-    "@ai-sdk/provider-utils" "4.0.16"
+    "@ai-sdk/provider-utils" "4.0.19"
 
-"@ai-sdk/openai-compatible@2.0.31", "@ai-sdk/openai-compatible@^2.0.27":
+"@ai-sdk/openai-compatible@2.0.35", "@ai-sdk/openai-compatible@^2.0.27":
-  version "2.0.31"
+  version "2.0.35"
-  resolved "https://registry.npmmirror.com/@ai-sdk/openai-compatible/-/openai-compatible-2.0.31.tgz#11aca181c215049b1c79b86cf7d58dcf68170da9"
+  resolved "https://registry.npmmirror.com/@ai-sdk/openai-compatible/-/openai-compatible-2.0.35.tgz#ab1edce39a255b1456efdf8e9a8fd4c5566c82fb"
-  integrity sha512-e78xiImcTe2aCMQoFbVJluQmUV4XgahOmmehAuRPlcwzRv2KtkvuLCXPC9Xcy2u83e8SimVva9k9G8SvZcnaBA==
+  integrity sha512-g3wA57IAQFb+3j4YuFndgkUdXyRETZVvbfAWM+UX7bZSxA3xjes0v3XKgIdKdekPtDGsh4ZX2byHD0gJIMPfiA==
   dependencies:
     "@ai-sdk/provider" "3.0.8"
-    "@ai-sdk/provider-utils" "4.0.16"
+    "@ai-sdk/provider-utils" "4.0.19"
 
 "@ai-sdk/openai@^3.0.25":
-  version "3.0.37"
+  version "3.0.41"
-  resolved "https://registry.npmmirror.com/@ai-sdk/openai/-/openai-3.0.37.tgz#8f5361eba21848b37663cbe113c91c666fe9ed58"
+  resolved "https://registry.npmmirror.com/@ai-sdk/openai/-/openai-3.0.41.tgz#22f559888cd4f9bb312c5c576441c3412f442e7b"
-  integrity sha512-bcYjT3/58i/C0DN3AnrjiGsAb0kYivZLWWUtgTjsBurHSht/LTEy+w3dw5XQe3FmZwX7Z/mUQCiA3wB/5Kf7ow==
+  integrity sha512-IZ42A+FO+vuEQCVNqlnAPYQnnUpUfdJIwn1BEDOBywiEHa23fw7PahxVtlX9zm3/zMvTW4JKPzWyvAgDu+SQ2A==
   dependencies:
     "@ai-sdk/provider" "3.0.8"
-    "@ai-sdk/provider-utils" "4.0.16"
+    "@ai-sdk/provider-utils" "4.0.19"
 
-"@ai-sdk/provider-utils@4.0.16", "@ai-sdk/provider-utils@^4.0.0":
+"@ai-sdk/provider-utils@4.0.19", "@ai-sdk/provider-utils@^4.0.0":
-  version "4.0.16"
+  version "4.0.19"
-  resolved "https://registry.npmmirror.com/@ai-sdk/provider-utils/-/provider-utils-4.0.16.tgz#24bb427d5ed023ef245f3a7af0e83590c45a74b5"
+  resolved "https://registry.npmmirror.com/@ai-sdk/provider-utils/-/provider-utils-4.0.19.tgz#535f87c34f19d5584068c522005780ba59123093"
-  integrity sha512-kBvDqNkt5EwlzF9FujmNhhtl8FYg3e8FO8P5uneKliqfRThWemzBj+wfYr7ZCymAQhTRnwSSz1/SOqhOAwmx9g==
+  integrity sha512-3eG55CrSWCu2SXlqq2QCsFjo3+E7+Gmg7i/oRVoSZzIodTuDSfLb3MRje67xE9RFea73Zao7Lm4mADIfUETKGg==
   dependencies:
     "@ai-sdk/provider" "3.0.8"
     "@standard-schema/spec" "^1.1.0"
     eventsource-parser "^3.0.6"
 
 "@ai-sdk/provider-utils@^3.0.0":
-  version "3.0.21"
+  version "3.0.22"
-  resolved "https://registry.npmmirror.com/@ai-sdk/provider-utils/-/provider-utils-3.0.21.tgz#b98175079d2787f0dda7027d74482f4ae1acfbc8"
+  resolved "https://registry.npmmirror.com/@ai-sdk/provider-utils/-/provider-utils-3.0.22.tgz#fc9824f5a5c290a95c14888de130b02e52020060"
-  integrity sha512-veuMwTLxsgh31Jjn0SnBABnM1f7ebHhRWcV2ZuY3hP3iJDCZ8VXBaYqcHXoOQDqUXTCas08sKQcHyWK+zl882Q==
+  integrity sha512-fFT1KfUUKktfAFm5mClJhS1oux9tP2qgzmEZVl5UdwltQ1LO/s8hd7znVrgKzivwv1s1FIPza0s9OpJaNB/vHw==
   dependencies:
     "@ai-sdk/provider" "2.0.1"
     "@standard-schema/spec" "^1.0.0"
@@ -105,13 +105,13 @@
     json-schema "^0.4.0"
 
 "@ai-sdk/xai@^3.0.47":
-  version "3.0.60"
+  version "3.0.67"
-  resolved "https://registry.npmmirror.com/@ai-sdk/xai/-/xai-3.0.60.tgz#9dd4f427121fb1fa63e531c0beda43a3669758eb"
+  resolved "https://registry.npmmirror.com/@ai-sdk/xai/-/xai-3.0.67.tgz#b49f5c171c6515e38e3cbfafdff746054892c0b0"
-  integrity sha512-nDOUyzeepmyyoL5+9LxmwXy3BoX9mZy7cv3BjHPN4Xc+SVFVqL7uj/9m1oLRCNmpwfA/9QBq9kuD+J31EfdhMw==
+  integrity sha512-KQQIDc91dUA5IGFMnXBuvPBeraYNTdpDC1qUS+JG8vE+/299//5sZFafI1kKYUu3f3p7LaZrKXYgZ1Ni7QIRbw==
   dependencies:
-    "@ai-sdk/openai-compatible" "2.0.31"
+    "@ai-sdk/openai-compatible" "2.0.35"
     "@ai-sdk/provider" "3.0.8"
-    "@ai-sdk/provider-utils" "4.0.16"
+    "@ai-sdk/provider-utils" "4.0.19"
 
 "@develar/schema-utils@~2.6.5":
   version "2.6.5"
@@ -370,9 +370,9 @@
   integrity sha512-k2Ty1JcVojjJFwrg/ThKi2ujJ7XNLYaFGNB/bWT9wGR+oSMJHMa5w+CUq6p/pVrKeNNgA7pCqEcjSnHVoqJQFw==
 
 "@hono/node-server@^1.13.7":
-  version "1.19.9"
+  version "1.19.11"
-  resolved "https://registry.npmmirror.com/@hono/node-server/-/node-server-1.19.9.tgz#8f37119b1acf283fd3f6035f3d1356fdb97a09ac"
+  resolved "https://registry.npmmirror.com/@hono/node-server/-/node-server-1.19.11.tgz#dc419f0826dd2504e9fc86ad289d5636a0444e2f"
-  integrity sha512-vHL6w3ecZsky+8P5MD+eFfaGTyCeOHUIFYMGpQGbrBTSmNNoxv0if69rEZ5giu36weC5saFuznL411gRX7bJDw==
+  integrity sha512-dr8/3zEaB+p0D2n/IUrlPF1HZm586qgJNXK1a9fhg/PzdtkK7Ksd5l312tJX2yBuALqDYBlG20QEbayqPyxn+g==
 
 "@img/colour@^1.0.0":
   version "1.1.0"
@@ -774,16 +774,16 @@
   integrity sha512-GsCCIZDE/p3i96vtEqx+7dBUGXrc7zeSK3wwPHIaRThS+9OhWIXRqzs4d6k1SVU8g91DrNRWxWUGhp5KXQb2VA==
 
 "@types/node@*":
-  version "25.3.3"
+  version "25.3.5"
-  resolved "https://registry.npmmirror.com/@types/node/-/node-25.3.3.tgz#605862544ee7ffd7a936bcbf0135a14012f1e549"
+  resolved "https://registry.npmmirror.com/@types/node/-/node-25.3.5.tgz#beccb5915561f7a9970ace547ad44d6cdbf39b46"
-  integrity sha512-DpzbrH7wIcBaJibpKo9nnSQL0MTRdnWttGyE5haGwK86xgMOkFLp7vEyfQPGLOJh5wNYiJ3V9PmUMDhV9u8kkQ==
+  integrity sha512-oX8xrhvpiyRCQkG1MFchB09f+cXftgIXb3a7UUa4Y3wpmZPw5tyZGTLWhlESOLq1Rq6oDlc8npVU2/9xiCuXMA==
   dependencies:
     undici-types "~7.18.0"
 
 "@types/node@^24.9.0":
-  version "24.11.0"
+  version "24.11.2"
-  resolved "https://registry.npmmirror.com/@types/node/-/node-24.11.0.tgz#34e8f9603ada03fdc36a532faefdb8e1bb3693a0"
+  resolved "https://registry.npmmirror.com/@types/node/-/node-24.11.2.tgz#4d16d5f21256a0506c9d7b58fcda1d4d3dadc530"
-  integrity sha512-fPxQqz4VTgPI/IQ+lj9r0h+fDR66bzoeMGHp8ASee+32OSGIkeASsoZuJixsQoVef1QJbeubcPBxKk22QVoWdw==
+  integrity sha512-HTsxyfkxTNxOXBsEdgIOzbMgBjDGPvkTfw0B1m09j1LFPk8u3tSL8SNBRTSc381wXXX/Wp93qPi1kQXwnWuHgA==
   dependencies:
     undici-types "~7.16.0"
 
@@ -801,9 +801,9 @@
   integrity sha512-JOqsl+ZoCpP4e8TDke9W79FDcSgPAR0l6pixx2JHkhnRjvShyYiAYw2LVsnA7K08Y6DeOnaU6ujmENO4os/cYg==
 
 "@types/qs@*":
-  version "6.14.0"
+  version "6.15.0"
-  resolved "https://registry.npmmirror.com/@types/qs/-/qs-6.14.0.tgz#d8b60cecf62f2db0fb68e5e006077b9178b85de5"
+  resolved "https://registry.npmmirror.com/@types/qs/-/qs-6.15.0.tgz#963ab61779843fe910639a50661b48f162bc7f79"
-  integrity sha512-eOunJqu0K1923aExK6y8p6fsihYEn/BYuQ4g0CxAAgFc4b/ZLN4CrsRZ55srTdqoiLzU2B2evC+apEIxprEzkQ==
+  integrity sha512-JawvT8iBVWpzTrz3EGw9BTQFg3BQNmwERdKE22vlTxawwtbyUSlMppvZYKLZzB5zgACXdXxbD3m1bXaMqP/9ow==
 
 "@types/range-parser@*":
   version "1.2.7"
@@ -907,13 +907,13 @@ aggregate-error@^3.0.0:
     indent-string "^4.0.0"
 
 ai@^6.0.67:
-  version "6.0.105"
+  version "6.0.116"
-  resolved "https://registry.npmmirror.com/ai/-/ai-6.0.105.tgz#85c38f7d67de571435f480cb5c49201a7207599e"
+  resolved "https://registry.npmmirror.com/ai/-/ai-6.0.116.tgz#dc1c3d929453e165fcd3f188d8663617ecf94129"
-  integrity sha512-rp+exWtZS3J0DDvZIfetpKCIg7D3cCsvBPoFN3I67IDTs9aoBZDbpecoIkmNLT+U9RBkoEial3OGHRvme23HCw==
+  integrity sha512-7yM+cTmyRLeNIXwt4Vj+mrrJgVQ9RMIW5WO0ydoLoYkewIvsMcvUmqS4j2RJTUXaF1HphwmSKUMQ/HypNRGOmA==
   dependencies:
-    "@ai-sdk/gateway" "3.0.59"
+    "@ai-sdk/gateway" "3.0.66"
     "@ai-sdk/provider" "3.0.8"
-    "@ai-sdk/provider-utils" "4.0.16"
+    "@ai-sdk/provider-utils" "4.0.19"
     "@opentelemetry/api" "1.9.0"
 
 ajv-keywords@^3.4.1:
@@ -1796,9 +1796,9 @@ electron-publish@26.8.1:
     mime "^2.5.2"
 
 electron@^40.0.0:
-  version "40.6.1"
+  version "40.8.0"
-  resolved "https://registry.npmmirror.com/electron/-/electron-40.6.1.tgz#f7dca0c028a13144abe2192ec2b6a75ef7418dfc"
+  resolved "https://registry.npmmirror.com/electron/-/electron-40.8.0.tgz#d149210300bf7df95e5d3db4a40d388e12ef7549"
-  integrity sha512-u9YfoixttdauciHV9Ut9Zf3YipJoU093kR1GSYTTXTAXqhiXI0G1A0NnL/f0O2m2UULCXaXMf2W71PloR6V9pQ==
+  integrity sha512-WoPq0Nr9Yx3g7T6VnJXdwa/rr2+VRyH3a+K+ezfMKBlf6WjxE/LmhMQabKbb6yjm9RbZhJBRcYyoLph421O2mQ==
   dependencies:
     "@electron/get" "^2.0.0"
     "@types/node" "^24.9.0"
@@ -2139,9 +2139,9 @@ fs-extra@^10.0.0, fs-extra@^10.1.0:
     universalify "^2.0.0"
 
 fs-extra@^11.1.1:
-  version "11.3.3"
+  version "11.3.4"
-  resolved "https://registry.npmmirror.com/fs-extra/-/fs-extra-11.3.3.tgz#a27da23b72524e81ac6c3815cc0179b8c74c59ee"
+  resolved "https://registry.npmmirror.com/fs-extra/-/fs-extra-11.3.4.tgz#ab6934eca8bcf6f7f6b82742e33591f86301d6fc"
-  integrity sha512-VWSRii4t0AFm6ixFFmLLx1t7wS1gh+ckoa84aOeapGum0h+EZd1EhEumSB+ZdDLnEPuucsVB9oB7cxJHap6Afg==
+  integrity sha512-CTXd6rk/M3/ULNQj8FBqBWHYBVYybQ3VPBw0xGKFe3tuH7ytT6ACnvzpIQ3UZtB8yvUKC2cXn1a+x+5EVQLovA==
   dependencies:
     graceful-fs "^4.2.0"
     jsonfile "^6.0.1"
@@ -2399,9 +2399,9 @@ hasown@^2.0.2:
     function-bind "^1.1.2"
 
 hono@^4.6.14:
-  version "4.12.3"
+  version "4.12.5"
-  resolved "https://registry.npmmirror.com/hono/-/hono-4.12.3.tgz#fd8dd1127c30956a9d58c1b0c4535d21c1ef3e16"
+  resolved "https://registry.npmmirror.com/hono/-/hono-4.12.5.tgz#8c16209b35040025d3f110d18f3b821de6cab00f"
-  integrity sha512-SFsVSjp8sj5UumXOOFlkZOG6XS9SJDKw0TbwFeV+AJ8xlST8kxK5Z/5EYa111UY8732lK2S/xB653ceuaoGwpg==
+  integrity sha512-3qq+FUBtlTHhtYxbxheZgY8NIFnkkC/MR8u5TTsr7YZ3wixryQ3cCwn3iZbg8p8B88iDBBAYSfZDS75t8MN7Vg==
 
 hosted-git-info@^2.1.4:
   version "2.8.9"
@@ -4324,9 +4324,9 @@ tar@^6.0.2, tar@^6.1.11, tar@^6.1.2:
     yallist "^4.0.0"
 
 tar@^7.4.3, tar@^7.5.6, tar@^7.5.7:
-  version "7.5.9"
+  version "7.5.10"
-  resolved "https://registry.npmmirror.com/tar/-/tar-7.5.9.tgz#817ac12a54bc4362c51340875b8985d7dc9724b8"
+  resolved "https://registry.npmmirror.com/tar/-/tar-7.5.10.tgz#2281541123f5507db38bc6eb22619f4bbaef73ad"
-  integrity sha512-BTLcK0xsDh2+PUe9F6c2TlRp4zOOBMTkoQHQIWSIzI0R7KG46uEwq4OPk2W7bZcprBMsuaeFsqwYr7pjh6CuHg==
+  integrity sha512-8mOPs1//5q/rlkNSPcCegA6hiHJYDmSLEI8aMH/CdSQJNWztHC9WHNam5zdQlfpTwB9Xp7IBEsHfV5LKMJGVAw==
   dependencies:
     "@isaacs/fs-minipass" "^4.0.0"
     chownr "^3.0.0"