feat: use OpenAI Sora for long videos

.env.local.example

@@ -4,7 +4,13 @@ GPT_TEXT_MODEL=gpt-5.5
 GPT_IMAGE_MODEL=gpt-image-2
 GPT_API_BASE=https://api.openai.com/v1
 
-# 视频生成固定走 Seedance。未配置 Key 时 /api/video/generate 返回 503。
+# 视频生成默认走 OpenAI Sora；如需回退 Seedance，设置 VIDEO_PROVIDER=seedance。
+VIDEO_PROVIDER=openai_sora
+OPENAI_VIDEO_MODEL=sora-2-pro
+OPENAI_VIDEO_MIN_SECONDS=60
+OPENAI_VIDEO_QUALITY=high
+
+# Seedance 作为可选回退 provider。未配置 Key 且 VIDEO_PROVIDER=seedance 时 /api/video/generate 返回 503。
 SEEDANCE_API_KEY=
 SEEDANCE_MODEL=doubao-seedance-2-0-260128
 SEEDANCE_API_BASE=https://ark.cn-beijing.volces.com/api/v3

.project.json

@@ -4,7 +4,7 @@
     {
       "env" : "OPENAI_API_KEY",
       "name" : "OPENAI_API_KEY",
-      "note" : "GPT 文本\/结构化\/图片生成；没填则图片 mock"
+      "note" : "GPT 文本\/结构化\/图片生成 + OpenAI Sora 视频；没填则图片 mock、视频不可用"
     },
     {
       "env" : "SEEDANCE_API_KEY",
@@ -37,7 +37,7 @@
     "username" : "kangwan"
   },
   "stack" : [
-    "Next.js + GPT + Seedance",
+    "Next.js + GPT + OpenAI Sora",
     "Docker Compose local\/prod parity",
     "Coolify Traefik"
   ],

RULES.md

@@ -10,6 +10,7 @@
 - 平台：个人 VPS `76.13.31.179`，Docker Compose，接入现有 Coolify Traefik
 - 发布状态：VPS 生产已发布，仅个人使用
 - 最近生产部署：2026-05-22，视频面板修复 60 秒成片任务 ID 映射；`video_turntable_60s` 等已完成视频会替代对应默认模板卡片，不再重复显示不可播放的空视频项；对应代码提交 `7abbb7d`
+- 待部署变更：视频 provider 已改为默认 OpenAI Sora（`VIDEO_PROVIDER=openai_sora`），Seedance 仅作为可选回退；视频模板目标时长统一不少于 60 秒，并通过 OpenAI extend 链路补足长视频
 - 服务名 / 容器名：`ai-toy-patent-workflow`
 - 服务器路径：`/opt/ai-toy-patent-workflow`
 - 主站 / 前端：https://ai-toy.kang-kang.com
@@ -38,11 +39,15 @@
 - 风格示意图：运行 `npm run styles:previews -- --force` 用 GPT 图片模型生成 `public/style-previews/*.png`；UI 左侧风格卡片直接引用这些小图
 
 ## 环境变量
-- `OPENAI_API_KEY` — GPT API Key；文本/结构化/图片生成统一走 GPT 最高规格配置
+- `OPENAI_API_KEY` — GPT / OpenAI API Key；文本、结构化、图片生成以及默认 OpenAI Sora 视频生成共用
 - `GPT_TEXT_MODEL` — 默认 `gpt-5.5`，用于角色设定等结构化输出
 - `GPT_IMAGE_MODEL` — 默认 `gpt-image-2`，用于意向图和三类素材包图片生成
 - `GPT_API_BASE` — 默认 `https://api.openai.com/v1`
-- `SEEDANCE_API_KEY` — Seedance 视频生成 Key；未配置时视频接口返回 503
+- `VIDEO_PROVIDER` — 默认 `openai_sora`；需要回退时可设为 `seedance`
+- `OPENAI_VIDEO_MODEL` — 默认 `sora-2-pro`，用于 OpenAI 视频生成
+- `OPENAI_VIDEO_MIN_SECONDS` — 默认 `60`；视频模板目标时长不得低于 60 秒
+- `OPENAI_VIDEO_QUALITY` — 默认生产建议 `high`，对应 OpenAI 允许的视频输出尺寸
+- `SEEDANCE_API_KEY` — Seedance 视频生成 Key；仅 `VIDEO_PROVIDER=seedance` 时使用，未配置则视频接口返回 503
 - `SEEDANCE_MODEL` — 默认 `doubao-seedance-2-0-260128`
 - `SEEDANCE_API_BASE` — 默认 `https://ark.cn-beijing.volces.com/api/v3`
 - `PUBLIC_APP_URL` — 生产填公网入口，用于把 `/api/img/...` 补成 Seedance 可访问的绝对 URL
@@ -57,7 +62,7 @@
 ## 规则
 - 全项目规则真源：`/Users/kangwan/Projects/code/20260317-rules-dashboard/RULES.md`
 - 文本/结构化/图片生成统一使用 GPT 最高规格配置
-- 视频生成固定使用 Seedance
+- 视频生成默认使用 OpenAI Sora；Seedance 只作为可选回退 provider
 - 不允许编造不存在的部署域名、账号、密码
 
 ## 图像链路事实
@@ -95,10 +100,10 @@
 5. 锁定角色设定 `CharacterSpec`
 6. 串行生成图片包：必须从专利包开始，顺序为 `专利包 -> 配件包 -> 生产打样包 -> 宣发包`
 7. 前一个图片包完整生成后，下一个图片包才解锁；不提供“一键全包”入口或全包 API
-8. 四个图片包完成后，才解锁文案模板和 Seedance 视频任务：旋转展示、开箱、触感细节、角色故事
+8. 四个图片包完成后，才解锁文案模板和 OpenAI Sora 视频任务：旋转展示、开箱、触感细节、角色故事、工厂预览；每条视频目标时长不少于 60 秒
 9. 侧栏保留历史会话，点击切换
 
 ## 后续路线
 - 导出专利包：PNG高清 + PDF合订
 - ZIP/PDF 打包下载
-- Seedance 任务轮询 UI
+- OpenAI Sora 长视频任务轮询 UI 细化

deploy/.env.production.example

@@ -4,7 +4,13 @@ GPT_TEXT_MODEL=gpt-5.5
 GPT_IMAGE_MODEL=gpt-image-2
 GPT_API_BASE=https://api.openai.com/v1
 
-# Seedance video generation.
+# Video generation defaults to OpenAI Sora. Set VIDEO_PROVIDER=seedance only for fallback.
+VIDEO_PROVIDER=openai_sora
+OPENAI_VIDEO_MODEL=sora-2-pro
+OPENAI_VIDEO_MIN_SECONDS=60
+OPENAI_VIDEO_QUALITY=high
+
+# Optional Seedance fallback.
 SEEDANCE_API_KEY=
 SEEDANCE_MODEL=doubao-seedance-2-0-260128
 SEEDANCE_API_BASE=https://ark.cn-beijing.volces.com/api/v3

src/app/api/video/generate/route.ts

@@ -1,6 +1,6 @@
 import { NextResponse } from 'next/server';
 import { recordEvent } from '@/lib/auditDb';
-import { generateSeedanceVideo } from '@/lib/videoProviders';
+import { activeVideoProvider, generateVideo } from '@/lib/videoProviders';
 import { loadSession, saveRemoteVideo, saveSession } from '@/lib/storage';
 import { VIDEO_TEMPLATES } from '@/lib/templates';
 import type { VideoGenerationRequest, VideoTask } from '@/lib/types';
@@ -10,9 +10,10 @@ export const dynamic = 'force-dynamic';
 
 export async function POST(req: Request) {
   const body = (await req.json()) as VideoGenerationRequest;
+  const provider = activeVideoProvider();
   try {
-    recordEvent({ action: 'video.generate_started', sessionId: body.sessionId, targetType: 'video', targetId: body.templateId, status: 'started', provider: 'seedance', metadata: { ratio: body.ratio, duration: body.duration, hasImage: Boolean(body.imageUrl), refs: body.references?.length ?? 0 } });
+    recordEvent({ action: 'video.generate_started', sessionId: body.sessionId, targetType: 'video', targetId: body.templateId, status: 'started', provider, metadata: { ratio: body.ratio, duration: body.duration, hasImage: Boolean(body.imageUrl), refs: body.references?.length ?? 0 } });
-    const response = await generateSeedanceVideo(body);
+    const response = await generateVideo(body);
     let task: VideoTask | undefined;
     let videoUrl = response.videoUrl;
 
@@ -37,7 +38,7 @@ export async function POST(req: Request) {
         status: response.status,
         videoUrl,
         ratio: body.ratio || template?.ratio || '16:9',
-        duration: body.duration || template?.duration || 6,
+        duration: body.duration || template?.duration || 60,
         submittedAt: now,
         updatedAt: now,
         raw: response.raw,
@@ -49,13 +50,13 @@ export async function POST(req: Request) {
       await saveSession(session);
     }
 
-    recordEvent({ action: 'video.generate_submitted', sessionId: body.sessionId, targetType: 'video', targetId: response.taskId ?? body.templateId ?? response.status, status: 'queued', provider: 'seedance', metadata: { status: response.status, templateId: body.templateId } });
+    recordEvent({ action: 'video.generate_submitted', sessionId: body.sessionId, targetType: 'video', targetId: response.taskId ?? body.templateId ?? response.status, status: 'queued', provider: response.provider, metadata: { status: response.status, templateId: body.templateId } });
     return NextResponse.json({ ...response, videoUrl, task });
   } catch (error) {
     const message = String(error);
-    recordEvent({ action: 'video.generate_failed', sessionId: body.sessionId, targetType: 'video', targetId: body.templateId, status: 'error', provider: 'seedance', message });
+    recordEvent({ action: 'video.generate_failed', sessionId: body.sessionId, targetType: 'video', targetId: body.templateId, status: 'error', provider, message });
     return NextResponse.json({ error: message }, {
-      status: message.includes('SEEDANCE_API_KEY missing') ? 503 : 500,
+      status: message.includes('SEEDANCE_API_KEY missing') || message.includes('OPENAI_API_KEY missing') ? 503 : 500,
     });
   }
 }

src/app/api/video/status/[taskId]/route.ts

@@ -1,7 +1,8 @@
 import { NextResponse } from 'next/server';
 import { recordEvent } from '@/lib/auditDb';
-import { getSeedanceVideoTask } from '@/lib/videoProviders';
+import { activeVideoProvider, downloadOpenAIVideoContent, extendOpenAIVideo, getVideoTask, openAIVideoSeconds } from '@/lib/videoProviders';
-import { loadSession, saveRemoteVideo, saveSession } from '@/lib/storage';
+import { loadSession, saveRemoteVideo, saveSession, saveVideoBuffer } from '@/lib/storage';
+import type { VideoTask } from '@/lib/types';
 
 export const runtime = 'nodejs';
 export const dynamic = 'force-dynamic';
@@ -9,21 +10,43 @@ export const dynamic = 'force-dynamic';
 export async function GET(req: Request, ctx: { params: Promise<{ taskId: string }> }) {
   const { taskId } = await ctx.params;
   const sessionId = new URL(req.url).searchParams.get('sessionId')?.trim();
+  const session = sessionId ? await loadSession(sessionId) : null;
+  const existingTask = session?.videoTasks?.find(item => item.taskId === taskId);
+  const provider = existingTask?.provider ?? activeVideoProvider();
   try {
-    const response = await getSeedanceVideoTask(taskId);
+    let response = await getVideoTask(taskId, provider, existingTask?.duration);
-    let task = undefined;
+    let task: VideoTask | undefined = undefined;
     let videoUrl = response.videoUrl;
 
-    if (sessionId) {
+    if (sessionId && session) {
-      const session = await loadSession(sessionId);
+      if (session.videoTasks?.length) {
-      if (session?.videoTasks?.length) {
         const index = session.videoTasks.findIndex(item => item.taskId === taskId);
         if (index >= 0) {
-          if (videoUrl) {
+          const targetDuration = session.videoTasks[index].duration;
+          const currentSeconds = openAIVideoSeconds(response.raw);
+
+          if (response.provider === 'openai_sora' && response.status === 'succeeded' && currentSeconds > 0 && currentSeconds < targetDuration) {
+            response = await extendOpenAIVideo({
+              taskId: response.taskId || taskId,
+              prompt: session.videoTasks[index].prompt,
+              currentSeconds,
+              targetSeconds: targetDuration,
+            });
+            videoUrl = undefined;
+          } else if (response.provider === 'openai_sora' && response.status === 'succeeded' && response.taskId) {
+            if (session.videoTasks[index].videoUrl) {
+              videoUrl = session.videoTasks[index].videoUrl;
+            } else {
+              const content = await downloadOpenAIVideoContent(response.taskId);
+              videoUrl = await saveVideoBuffer(session.id, response.taskId, content.buffer, content.type);
+            }
+          } else if (videoUrl) {
             videoUrl = await saveRemoteVideo(session.id, taskId, videoUrl);
           }
+
           task = {
             ...session.videoTasks[index],
+            taskId: response.taskId ?? session.videoTasks[index].taskId,
             status: response.status,
             videoUrl: videoUrl ?? session.videoTasks[index].videoUrl,
             model: response.model,
@@ -40,13 +63,13 @@ export async function GET(req: Request, ctx: { params: Promise<{ taskId: string
       }
     }
 
-    recordEvent({ action: 'video.status_checked', sessionId, targetType: 'video', targetId: taskId, status: 'ok', provider: 'seedance', metadata: { status: response.status } });
+    recordEvent({ action: 'video.status_checked', sessionId, targetType: 'video', targetId: taskId, status: 'ok', provider: response.provider, metadata: { status: response.status, taskId: response.taskId } });
     return NextResponse.json({ ...response, videoUrl, task });
   } catch (error) {
     const message = String(error);
-    recordEvent({ action: 'video.status_failed', sessionId, targetType: 'video', targetId: taskId, status: 'error', provider: 'seedance', message });
+    recordEvent({ action: 'video.status_failed', sessionId, targetType: 'video', targetId: taskId, status: 'error', provider, message });
     return NextResponse.json({ error: message }, {
-      status: message.includes('SEEDANCE_API_KEY missing') ? 503 : 500,
+      status: message.includes('SEEDANCE_API_KEY missing') || message.includes('OPENAI_API_KEY missing') ? 503 : 500,
     });
   }
 }

src/app/page.tsx

@@ -550,7 +550,7 @@ export default function Home() {
         const d: VideoGenerationResponse = await r.json();
         await reloadCurrent(sessionId);
         if ((d.status === 'submitted' || d.status === 'processing') && remaining > 1) {
-          scheduleVideoRefresh(sessionId, taskId, remaining - 1);
+          scheduleVideoRefresh(sessionId, d.taskId || taskId, remaining - 1);
         }
       }
     }, 15000);
@@ -634,7 +634,7 @@ export default function Home() {
         }),
       });
       if (!r.ok) {
-        alert('Seedance 视频提交失败：' + (await r.text()));
+        alert('视频提交失败：' + (await r.text()));
         return;
       }
       const d: VideoGenerationResponse = await r.json();

src/lib/storage.ts

@@ -457,6 +457,24 @@ export async function saveRemoteVideo(sessionId: string, taskId: string, url: st
   return `/api/video-file/${filename}`;
 }
 
+export async function saveVideoBuffer(sessionId: string, taskId: string, buffer: Buffer, type = 'video/mp4'): Promise<string> {
+  await ensureDirs();
+  const ext = extFromMime(type);
+  const safeTaskId = safePart(taskId);
+  const filename = `${safePart(sessionId)}_${safeTaskId}.${ext === 'bin' ? 'mp4' : ext}`;
+  const file = path.join(VIDEO_DIR, filename);
+  await fs.writeFile(file, buffer);
+  recordEvent({
+    action: 'video.saved',
+    sessionId,
+    targetType: 'video',
+    targetId: taskId,
+    status: 'ok',
+    metadata: { filename, bytes: buffer.length, type },
+  });
+  return `/api/video-file/${filename}`;
+}
+
 export async function readVideoFile(filename: string): Promise<{ buf: Buffer; type: string } | null> {
   try {
     const info = await statVideoFile(filename);

src/lib/templates.ts

@@ -16,42 +16,42 @@ export const VIDEO_TEMPLATES = [
   {
     id: 'video_turntable',
     title: '360 度旋转展示',
-    description: '用于电商和内部评审，展示整体体积、正背侧轮廓。',
+    description: '不少于 60 秒，用于电商和内部评审，展示整体体积、正背侧轮廓。',
-    duration: 6,
+    duration: 60,
     ratio: '16:9',
-    promptTemplate: '生成 360 度旋转展示视频：{character}. 白底或浅灰棚拍，镜头稳定，玩具缓慢旋转，展示正面、侧面、背面、顶部细节，材质、表面质感、五官和配件必须严格贴合角色设定。',
+    promptTemplate: '生成 360 度旋转展示视频：{character}. 白底或浅灰棚拍，镜头稳定，玩具缓慢旋转，展示正面、侧面、背面、顶部细节，材质、表面质感、五官和配件必须严格贴合角色设定。产品尺寸按 45cm 大号智能陪伴毛绒娃娃表现，镜头中要能感知 40cm 以上的抱抱玩偶体量。',
   },
   {
     id: 'video_unboxing',
     title: '开箱短片',
-    description: '用于新品宣发，展示包装到玩具出现的过程。',
+    description: '不少于 60 秒，用于新品宣发，展示包装到玩具出现的过程。',
-    duration: 8,
+    duration: 60,
     ratio: '9:16',
-    promptTemplate: '生成玩具开箱短片：{character}. 竖版社媒风格，从礼盒或包装打开到玩具出现，温暖但克制的棚拍光线，突出礼物感、收藏感、角色识别点和配件陈列。',
+    promptTemplate: '生成玩具开箱短片：{character}. 竖版社媒风格，从礼盒或包装打开到玩具出现，温暖但克制的棚拍光线，突出礼物感、收藏感、角色识别点和配件陈列。玩具为 45cm 左右的大号智能陪伴毛绒娃娃，包装和手部比例必须支持 40cm 以上尺寸。',
   },
   {
     id: 'video_touch_detail',
     title: '触感细节',
-    description: '展示材质、五官、服装纹理和配件细节。',
+    description: '不少于 60 秒，展示材质、五官、服装纹理和配件细节。',
-    duration: 6,
+    duration: 60,
     ratio: '9:16',
-    promptTemplate: '生成玩具细节短片：{character}. 近景镜头，展示角色设定中的核心材质、五官或面部表达、服装纹理、手脚细节、标志性配件和包装小物，节奏清楚，避免加入设定外材质或无关部件。',
+    promptTemplate: '生成玩具细节短片：{character}. 近景镜头，展示角色设定中的核心材质、五官或面部表达、服装纹理、手脚细节、标志性配件和包装小物，节奏清楚，避免加入设定外材质或无关部件。必须体现 45cm 大号毛绒娃娃的厚实体量、柔软回弹和可拥抱尺度。',
   },
   {
     id: 'video_story_intro',
     title: '角色故事介绍',
-    description: '用于 IP 设定和社媒发布。',
+    description: '不少于 60 秒，用于 IP 设定和社媒发布。',
-    duration: 8,
+    duration: 60,
     ratio: '16:9',
-    promptTemplate: '生成玩具角色故事介绍视频：{character}. 轻剧情镜头，围绕角色设定的核心使用场景登场，展示表情变化、标志性配件、色彩气质和陪伴感，适合新品发布。',
+    promptTemplate: '生成玩具角色故事介绍视频：{character}. 轻剧情镜头，围绕角色设定的核心使用场景登场，展示表情变化、标志性配件、色彩气质和陪伴感，适合新品发布。故事中玩具始终是 45cm 左右的大号智能陪伴毛绒娃娃，可以被双手抱住，不要缩成桌面小摆件。',
   },
   {
     id: 'video_factory_preview',
     title: '工厂预览短片',
-    description: '用于打样前内部沟通，展示外观、尺寸、材料、拆件和包装要点。',
+    description: '不少于 60 秒，用于打样前内部沟通，展示外观、尺寸、材料、拆件和包装要点。',
-    duration: 8,
+    duration: 60,
     ratio: '16:9',
-    promptTemplate: '生成工厂预览概念短片：{character}. 16:9，面向内部沟通，展示外观、尺寸、材料、拆件和包装要点，镜头清楚克制，不做消费者营销话术。',
+    promptTemplate: '生成工厂预览概念短片：{character}. 16:9，面向内部沟通，展示外观、尺寸、材料、拆件和包装要点，镜头清楚克制，不做消费者营销话术。尺寸基准写死为成品高度约 45cm，宽约 32cm，侧深约 28cm，背宽约 33cm，必须保持 40cm 以上大尺寸。',
   },
 ] as const;
 

src/lib/types.ts

@@ -299,8 +299,10 @@ export type VideoGenerationRequest = {
   watermark?: boolean;
 };
 
+export type VideoProvider = 'seedance' | 'openai_sora';
+
 export type VideoGenerationResponse = {
-  provider: 'seedance';
+  provider: VideoProvider;
   model: string;
   taskId?: string;
   status: 'submitted' | 'processing' | 'succeeded' | 'failed';
@@ -315,7 +317,7 @@ export type VideoTask = {
   description: string;
   prompt: string;
   anchorImageUrl?: string;
-  provider: 'seedance';
+  provider: VideoProvider;
   model: string;
   taskId?: string;
   status: VideoGenerationResponse['status'];

src/lib/videoProviders.ts

@@ -1,12 +1,60 @@
-import type { VideoGenerationRequest, VideoGenerationResponse } from './types';
+import type { VideoGenerationRequest, VideoGenerationResponse, VideoProvider } from './types';
+import { readImageUrl } from './storage';
 
 export const SEEDANCE_MODEL = process.env.SEEDANCE_MODEL || 'doubao-seedance-2-0-260128';
 const SEEDANCE_API_BASE = process.env.SEEDANCE_API_BASE || 'https://ark.cn-beijing.volces.com/api/v3';
+export const OPENAI_VIDEO_MODEL = process.env.OPENAI_VIDEO_MODEL || 'sora-2-pro';
+const OPENAI_API_BASE = process.env.OPENAI_API_BASE || process.env.GPT_API_BASE || 'https://api.openai.com/v1';
+const MIN_OPENAI_TARGET_SECONDS = Math.max(Number(process.env.OPENAI_VIDEO_MIN_SECONDS || 60), 60);
+
+type OpenAIVideoRaw = {
+  id?: string;
+  model?: string;
+  status?: string;
+  video_url?: string;
+  seconds?: string | number;
+  size?: string;
+  progress?: number;
+  error?: { code?: string; message?: string };
+};
+
+export function activeVideoProvider(): VideoProvider {
+  return process.env.VIDEO_PROVIDER === 'seedance' ? 'seedance' : 'openai_sora';
+}
 
 function durationOrDefault(duration?: number): number {
   return Math.min(Math.max(duration ?? 6, 3), 15);
 }
 
+function openAITargetDuration(duration?: number): number {
+  return Math.max(duration ?? MIN_OPENAI_TARGET_SECONDS, MIN_OPENAI_TARGET_SECONDS);
+}
+
+function openAIInitialSeconds(targetDuration: number): '4' | '8' | '12' {
+  if (targetDuration >= 12) return '12';
+  if (targetDuration >= 8) return '8';
+  return '4';
+}
+
+export function openAIVideoSeconds(raw?: unknown): number {
+  const value = (raw as OpenAIVideoRaw | undefined)?.seconds;
+  if (typeof value === 'number') return Number.isFinite(value) ? value : 0;
+  if (typeof value === 'string') {
+    const parsed = Number(value);
+    return Number.isFinite(parsed) ? parsed : 0;
+  }
+  return 0;
+}
+
+export function openAIExtensionSeconds(currentSeconds: number, targetSeconds: number): '4' | '8' | '12' | '16' | '20' {
+  const remaining = targetSeconds - currentSeconds;
+  if (remaining >= 20) return '20';
+  if (remaining >= 16) return '16';
+  if (remaining >= 12) return '12';
+  if (remaining >= 8) return '8';
+  return '4';
+}
+
 function normalizeStatus(status?: string): VideoGenerationResponse['status'] {
   if (status === 'succeeded') return 'succeeded';
   if (status === 'failed') return 'failed';
@@ -14,6 +62,13 @@ function normalizeStatus(status?: string): VideoGenerationResponse['status'] {
   return 'submitted';
 }
 
+function normalizeOpenAIStatus(status?: string): VideoGenerationResponse['status'] {
+  if (status === 'completed') return 'succeeded';
+  if (status === 'failed') return 'failed';
+  if (status === 'in_progress') return 'processing';
+  return 'submitted';
+}
+
 function publicUrlOrUndefined(url?: string): string | undefined {
   if (!url) return undefined;
   if (url.startsWith('/')) {
@@ -47,6 +102,53 @@ function buildContent(opts: VideoGenerationRequest): Array<Record<string, unknow
   return content;
 }
 
+function openAISizeForRatio(ratio?: VideoGenerationRequest['ratio'], resolution?: VideoGenerationRequest['resolution']): '720x1280' | '1280x720' | '1024x1792' | '1792x1024' {
+  const vertical = ratio === '9:16' || ratio === '3:4';
+  const high = resolution === '1080p' || process.env.OPENAI_VIDEO_QUALITY === 'high';
+  if (vertical) return high ? '1024x1792' : '720x1280';
+  return high ? '1792x1024' : '1280x720';
+}
+
+function withProductVideoConstraints(prompt: string, targetDuration: number): string {
+  return [
+    prompt.trim(),
+    '',
+    '硬性约束：主角必须是“有你家族 · 糯糯猪”智能陪伴毛绒娃娃，整体成品高度约 45cm，必须明显是 40cm 以上的大尺寸抱抱玩偶。',
+    '保持浅粉毛绒、圆胖坐姿、黑亮眼睛、粉色猪鼻、下垂耳朵、金色挂绳和爱心吊牌；不要改成普通小挂件、钥匙扣或低于 40cm 的小公仔。',
+    `目标视频总时长不少于 ${targetDuration} 秒；如果 API 需要分段或延展，保持同一角色、同一尺寸比例和连续镜头语言。`,
+  ].join('\n');
+}
+
+async function openAIInputReference(opts: VideoGenerationRequest): Promise<{ image_url: string } | undefined> {
+  const refs = [...(opts.references ?? [])];
+  if (opts.imageUrl) refs.unshift({ type: 'image_url', url: opts.imageUrl, role: 'reference_image' });
+  const image = refs.find(ref => ref.type === 'image_url');
+  const url = publicUrlOrUndefined(image?.url);
+  if (url) return { image_url: url };
+  if (!image?.url) return undefined;
+
+  const source = await readImageUrl(image.url);
+  if (source.type.includes('svg')) return undefined;
+  const dataUrl = `data:${source.type};base64,${source.buf.toString('base64')}`;
+  return dataUrl.length <= 20 * 1024 * 1024 ? { image_url: dataUrl } : undefined;
+}
+
+function openAIResponse(raw: OpenAIVideoRaw, fallbackTaskId: string | undefined, targetDuration: number): VideoGenerationResponse {
+  const taskId = raw.id || fallbackTaskId;
+  return {
+    provider: 'openai_sora',
+    model: raw.model || OPENAI_VIDEO_MODEL,
+    taskId,
+    status: normalizeOpenAIStatus(raw.status),
+    videoUrl: raw.video_url,
+    raw: {
+      ...raw,
+      target_seconds: targetDuration,
+      current_seconds: openAIVideoSeconds(raw),
+    },
+  };
+}
+
 export async function generateSeedanceVideo(opts: VideoGenerationRequest): Promise<VideoGenerationResponse> {
   const key = process.env.SEEDANCE_API_KEY;
   if (!key) throw new Error('SEEDANCE_API_KEY missing');
@@ -92,6 +194,123 @@ export async function generateSeedanceVideo(opts: VideoGenerationRequest): Promi
   };
 }
 
+export async function generateOpenAIVideo(opts: VideoGenerationRequest): Promise<VideoGenerationResponse> {
+  const key = process.env.OPENAI_API_KEY;
+  if (!key) throw new Error('OPENAI_API_KEY missing');
+  if (!opts.prompt?.trim()) throw new Error('prompt required');
+
+  const targetDuration = openAITargetDuration(opts.duration);
+  const body: Record<string, unknown> = {
+    model: OPENAI_VIDEO_MODEL,
+    prompt: withProductVideoConstraints(opts.prompt, targetDuration),
+    seconds: openAIInitialSeconds(targetDuration),
+    size: openAISizeForRatio(opts.ratio, opts.resolution),
+  };
+  const inputReference = await openAIInputReference(opts);
+  if (inputReference) body.input_reference = inputReference;
+
+  let res = await fetch(`${OPENAI_API_BASE}/videos`, {
+    method: 'POST',
+    headers: {
+      'Content-Type': 'application/json',
+      Authorization: `Bearer ${key}`,
+    },
+    body: JSON.stringify(body),
+  });
+
+  let rawText = !res.ok ? await res.text() : '';
+  if (!res.ok && inputReference && /must match the requested width and height/i.test(rawText)) {
+    delete body.input_reference;
+    res = await fetch(`${OPENAI_API_BASE}/videos`, {
+      method: 'POST',
+      headers: {
+        'Content-Type': 'application/json',
+        Authorization: `Bearer ${key}`,
+      },
+      body: JSON.stringify(body),
+    });
+    rawText = !res.ok ? await res.text() : '';
+  }
+
+  if (!res.ok) throw new Error(`OpenAI video ${res.status}: ${rawText}`);
+  const raw = await res.json() as OpenAIVideoRaw;
+  if (inputReference && !body.input_reference) {
+    const response = openAIResponse(raw, undefined, targetDuration);
+    return { ...response, raw: { ...(response.raw as object), input_reference_dropped: 'size_mismatch' } };
+  }
+  return openAIResponse(raw, undefined, targetDuration);
+}
+
+export async function extendOpenAIVideo(opts: {
+  taskId: string;
+  prompt: string;
+  currentSeconds: number;
+  targetSeconds: number;
+}): Promise<VideoGenerationResponse> {
+  const key = process.env.OPENAI_API_KEY;
+  if (!key) throw new Error('OPENAI_API_KEY missing');
+  if (!opts.taskId) throw new Error('taskId required');
+  if (!opts.prompt?.trim()) throw new Error('prompt required');
+
+  const seconds = openAIExtensionSeconds(opts.currentSeconds, opts.targetSeconds);
+  const res = await fetch(`${OPENAI_API_BASE}/videos/extensions`, {
+    method: 'POST',
+    headers: {
+      'Content-Type': 'application/json',
+      Authorization: `Bearer ${key}`,
+    },
+    body: JSON.stringify({
+      prompt: withProductVideoConstraints(opts.prompt, opts.targetSeconds),
+      seconds,
+      video: { id: opts.taskId },
+    }),
+  });
+
+  if (!res.ok) throw new Error(`OpenAI video extend ${res.status}: ${await res.text()}`);
+  const raw = await res.json() as OpenAIVideoRaw;
+  return openAIResponse(raw, opts.taskId, opts.targetSeconds);
+}
+
+export async function getOpenAIVideoTask(taskId: string, targetDuration = MIN_OPENAI_TARGET_SECONDS): Promise<VideoGenerationResponse> {
+  const key = process.env.OPENAI_API_KEY;
+  if (!key) throw new Error('OPENAI_API_KEY missing');
+  if (!taskId) throw new Error('taskId required');
+
+  const res = await fetch(`${OPENAI_API_BASE}/videos/${encodeURIComponent(taskId)}`, {
+    headers: { Authorization: `Bearer ${key}` },
+  });
+
+  if (!res.ok) throw new Error(`OpenAI video ${res.status}: ${await res.text()}`);
+  const raw = await res.json() as OpenAIVideoRaw;
+  return openAIResponse(raw, taskId, targetDuration);
+}
+
+export async function downloadOpenAIVideoContent(taskId: string): Promise<{ buffer: Buffer; type: string }> {
+  const key = process.env.OPENAI_API_KEY;
+  if (!key) throw new Error('OPENAI_API_KEY missing');
+  if (!taskId) throw new Error('taskId required');
+
+  const res = await fetch(`${OPENAI_API_BASE}/videos/${encodeURIComponent(taskId)}/content`, {
+    headers: { Authorization: `Bearer ${key}` },
+  });
+
+  if (!res.ok) throw new Error(`OpenAI video content ${res.status}: ${await res.text()}`);
+  const type = res.headers.get('content-type')?.split(';')[0] || 'video/mp4';
+  return { buffer: Buffer.from(await res.arrayBuffer()), type };
+}
+
+export async function generateVideo(opts: VideoGenerationRequest): Promise<VideoGenerationResponse> {
+  return activeVideoProvider() === 'seedance'
+    ? generateSeedanceVideo(opts)
+    : generateOpenAIVideo(opts);
+}
+
+export async function getVideoTask(taskId: string, provider: VideoProvider, targetDuration?: number): Promise<VideoGenerationResponse> {
+  return provider === 'seedance'
+    ? getSeedanceVideoTask(taskId)
+    : getOpenAIVideoTask(taskId, targetDuration);
+}
+
 export async function getSeedanceVideoTask(taskId: string): Promise<VideoGenerationResponse> {
   const key = process.env.SEEDANCE_API_KEY;
   if (!key) throw new Error('SEEDANCE_API_KEY missing');