fix: 停止迁移复活默认模型供应商/模型；AI聊天媒体生成改为异步(修复视频请求失败)

- migrations/002_init_data.sql: 移除 model_providers/models 的 INSERT IGNORE 种子，重启容器不再复活 deepseek/openai/通义千问等默认供应商与模型，改由用户在后台大模型库自行维护
- chat.py: 图像/视频生成分支改为立即返回占位(generating=true)，后台 asyncio 任务轮询 AGNES 并回写消息内容，避免最长 5 分钟同步轮询阻塞 HTTP 请求导致前端「发送失败：请求失败」
- ChatPage.tsx: 发送后若 assistant_message.generating，每 3s 轮询 getMessages 直至内容更新；页面刷新时若仍有「⏳」占位继续轮询；卸载清理定时器

backend/python/app/api/chat.py

@@ -184,6 +184,39 @@ async def _generate_media(db, ai_model, prompt: str, user_id: str = None) -> str
     return "⚠️ 未知的媒体模型类型。"
 
 
+async def _generate_media_task(ai_msg_id: str, ai_model_id: str, prompt: str, user_id: str):
+    """后台异步执行图像/视频生成，完成后回写消息内容。
+
+    目的是把最长 5 分钟的 AGNES 视频轮询从 HTTP 请求中剥离，避免请求被客户端/
+    代理超时断开(表现为前端「发送失败：请求失败」)。send_message 立即返回占位
+    内容(generating 标记)，本任务独立在事件循环中轮询并在完成后 merge 回写消息。
+    使用独立的 SessionLocal 会话，因为请求级 db 在响应返回后即被 FastAPI 关闭。
+    """
+    db = SessionLocal()
+    try:
+        ai_model = db.query(AIModel).filter(AIModel.id == ai_model_id).first()
+        if not ai_model:
+            logger.warning(f"[_generate_media_task] 模型不存在: {ai_model_id}")
+            return
+        try:
+            result = await _generate_media(db, ai_model, prompt, user_id)
+        except Exception as e:
+            result = f"⚠️ 媒体生成失败：{str(e)[:200]}"
+        # 回写消息内容(占位 → 最终富文本/错误)
+        msg = db.query(Message).filter(Message.id == ai_msg_id).first()
+        if msg:
+            msg.content = result
+            msg.token_used = len(result) // 2
+            db.commit()
+            logger.info(f"[_generate_media_task] 消息 {ai_msg_id} 已回写内容")
+    except Exception as e:
+        logger.warning(f"[_generate_media_task] 后台生成异常: {e}")
+    finally:
+        try:
+            db.close()
+        except Exception:
+            pass
+
 
 # ============================================================
 # Request Models
@@ -1073,11 +1106,15 @@ async def send_message(
     if ai_model:
         # ====== 图像/视频生成模型分支 ======
         caps = [c.lower() for c in (ai_model.capabilities or [])] if ai_model else []
+        media_generating = False
         if ai_model and ("image" in caps or "video" in caps):
-            try:
+            # 异步生成：立即返回占位内容，后台任务轮询 AGNES 并回写，
-                ai_content = await _generate_media(db, ai_model, req.content, current_user.id)
+            # 避免最长 5 分钟的视频轮询阻塞 HTTP 请求导致客户端超时断开。
-            except Exception as e:
+            media_generating = True
-                ai_content = f"⚠️ 媒体生成失败：{str(e)[:200]}"
+            if "video" in caps:
+                ai_content = "⏳ 视频生成中…（通常 1~3 分钟，完成后自动刷新）"
+            else:
+                ai_content = "⏳ 图像生成中…（完成后自动刷新）"
         elif ai_model and ai_model.endpoint:
             provider = db.query(ModelProvider).filter(ModelProvider.id == ai_model.provider_id).first()
             api_key = ai_model.api_key or (provider.api_key if provider else None)
@@ -1312,6 +1349,15 @@ async def send_message(
     db.refresh(user_msg)
     db.refresh(ai_msg)
 
+    # 媒体生成改为后台异步：立即返回占位，后台任务完成后回写消息内容
+    if media_generating:
+        try:
+            asyncio.create_task(
+                _generate_media_task(ai_msg.id, ai_model.id, req.content, current_user.id)
+            )
+        except Exception as e:
+            logger.warning(f"[_generate_media_task] 启动后台任务失败: {e}")
+
     return {
         "code": 0,
         "data": {
@@ -1323,6 +1369,7 @@ async def send_message(
                 "id": ai_msg.id, "role": ai_msg.role, "content": ai_msg.content,
                 "token_used": ai_msg.token_used, "created_at": str(ai_msg.created_at),
                 "used_skills": used_skills,
+                "generating": media_generating,
             },
         },
         "message": "发送成功",

frontend/src/pages/front/ChatPage.tsx

@@ -565,8 +565,67 @@ const ChatPage: React.FC = () => {
       }
     };
     loadMessages();
+
+    // 页面刷新时若仍有「⏳」占位的媒体消息，继续轮询后端回写结果
+    mapped.forEach((m) => {
+      if (m.role === 'assistant' && typeof m.content === 'string' && m.content.startsWith('⏳')) {
+        startMediaPolling(id, m.id);
+      }
+    });
   }, [id]);
 
+  // 媒体(图像/视频)异步生成轮询：后端先返回「⏳」占位，前端定时拉取该消息最新内容并回写
+  const pollMediaRef = useRef<Record<string, ReturnType<typeof setInterval> | null>>({});
+
+  const stopMediaPolling = (msgId: string) => {
+    const t = pollMediaRef.current[msgId];
+    if (t) {
+      clearInterval(t);
+      pollMediaRef.current[msgId] = null;
+    }
+  };
+
+  const startMediaPolling = (convId: string, msgId: string) => {
+    if (pollMediaRef.current[msgId]) return; // 已在轮询
+    let ticks = 0;
+    const timer = setInterval(async () => {
+      ticks += 1;
+      try {
+        const res = await chatAPI.getMessages(convId);
+        const msgs: any[] = unwrapList(res);
+        const updated = msgs.find((m: any) => m.id === msgId);
+        if (!updated) {
+          stopMediaPolling(msgId);
+          return;
+        }
+        const content: string = updated.content || '';
+        if (content.startsWith('⏳')) {
+          if (ticks > 120) stopMediaPolling(msgId); // ~6 分钟兜底
+          return;
+        }
+        // 生成完成：回写消息内容
+        setMessages(prev => prev.map(m => m.id === msgId ? {
+          ...m,
+          content,
+          tokenUsed: updated.tokenUsed ?? updated.token_used ?? m.tokenUsed,
+          createdAt: updated.createdAt || updated.created_at || m.createdAt,
+          used_skills: updated.usedSkills ?? updated.used_skills ?? m.used_skills,
+        } : m));
+        stopMediaPolling(msgId);
+      } catch (e) {
+        if (ticks > 120) stopMediaPolling(msgId); // 网络异常兜底
+      }
+    }, 3000);
+    pollMediaRef.current[msgId] = timer;
+  };
+
+  // 卸载时清理所有轮询定时器
+  useEffect(() => {
+    return () => {
+      Object.values(pollMediaRef.current).forEach(t => t && clearInterval(t));
+    };
+  }, []);
+
   // Load knowledge bases, agents, skills for attachment dropdowns
   useEffect(() => {
     knowledgeAPI.getBases().then((res: any) => {
@@ -821,6 +880,11 @@ const ChatPage: React.FC = () => {
         return [...filtered, ...newMsgs];
       });
 
+      // 媒体异步生成：启动轮询，待后端回写后自动刷新
+      if (data.assistant_message?.generating) {
+        startMediaPolling(selectedConversation!.id, data.assistant_message.id);
+      }
+
       // Refresh conversations to update lastMessage
       loadConversations();
 

migrations/002_init_data.sql

@@ -48,24 +48,13 @@ INSERT IGNORE INTO risk_rules (id, name, type, threshold, duration, is_enabled)
 ('risk-alert', '异常调用告警', 'alert', 1000, 3600, 1);
 
 -- ============================================================
--- 初始化模型供应商
+-- 模型供应商 / 模型 初始化（已移除自动 seeding）
+-- ------------------------------------------------------------
+-- 说明：默认供应商(DeepSeek/OpenAI/通义千问/SiliconFlow)与默认模型由用户在
+-- 后台「大模型库」中自行维护，不再通过迁移脚本强制写入。此前每次容器重启都会
+-- 因 INSERT IGNORE 把已删除的默认供应商/模型重新复活，导致用户需反复手动清理。
+-- 现仅保留数据表结构(由其他迁移负责)，种子数据交由用户管理，重启不再复活。
 -- ============================================================
-INSERT IGNORE INTO model_providers (id, name, protocol, api_key, api_base_url) VALUES
-('prov-001', 'DeepSeek', 'openai_compatible', '', 'https://api.deepseek.com'),
-('prov-002', 'OpenAI', 'openai_compatible', '', 'https://api.openai.com'),
-('prov-003', '通义千问', 'openai_compatible', '', 'https://dashscope.aliyuncs.com'),
-('prov-004', 'SiliconFlow', 'openai_compatible', 'sk-idsplzeccvmbtyqxcrbhaiwmkzwajmicliunkjkouivepaaz', 'https://api.siliconflow.cn');
-
--- ============================================================
--- 初始化模型
--- ============================================================
-INSERT IGNORE INTO models (id, provider_id, name, api_key, endpoint, capabilities, timeout, status, price_per_million_tokens, is_enabled, total_calls, total_tokens) VALUES
-('model-001', 'prov-001', 'DeepSeek-V3', '', 'https://api.deepseek.com/v1/chat/completions', '["text", "thinking"]', 60, 'free', 0.0000, 1, 0, 0),
-('model-002', 'prov-002', 'GPT-4o', '', 'https://api.openai.com/v1/chat/completions', '["text", "vision", "tool"]', 60, 'paid', 10.0000, 1, 0, 0),
-('model-003', 'prov-003', 'Qwen-Max', '', 'https://dashscope.aliyuncs.com/compatible-mode/v1', '["text", "tool"]', 60, 'free', 0.0000, 1, 0, 0),
-('model-004', 'prov-001', 'DeepSeek-R1', '', 'https://api.deepseek.com/v1/chat/completions', '["text", "thinking"]', 120, 'paid', 4.0000, 1, 0, 0),
-('model-005', 'prov-003', 'Qwen-Plus', '', 'https://dashscope.aliyuncs.com/compatible-mode/v1', '["text"]', 60, 'free', 0.0000, 0, 0, 0),
-('model-006', 'prov-004', 'DeepSeek-V4-Flash', '', 'https://api.siliconflow.cn/v1/chat/completions', '["text", "thinking", "tool"]', 60, 'free', 0.0000, 1, 0, 0);
 
 -- ============================================================
 -- 初始化会员套餐