模特库标签分页与全能创作收口：藏长视频、选择器分页

角色库导入打标签并支持筛选；模特库与全能创作角色/商品选择改为每页 20 条分页。临时限制成片 ≤60 秒，过滤对话里的超长时长选项，并收拢本地全能创作与后台用户相关修复。

core/backend/apps/ai/serializers.py

@@ -10,6 +10,65 @@ from .models import (
 )
 
 
+# 仅把可解释的阶段名返回给创作页。模型原始 reasoning 可能冗长、跑题或包含内部工作草稿，
+# 不能直接作为用户可见内容；前端据此展示「正在做什么」，避免异步规划看起来像卡住。
+_PUBLIC_AGENT_PROGRESS = {
+    "starting": {
+        "label": "正在读取创作要求",
+        "detail": "已收到素材、角色与时长设定",
+    },
+    "reasoning": {
+        "label": "正在分析素材与创作方向",
+        "detail": "正在结合商品、角色和目标时长梳理方案",
+    },
+    "search_library": {
+        "label": "正在查找可用素材",
+        "detail": "正在核对当前创作需要的素材信息",
+    },
+    "write_strategy": {
+        "label": "正在确定创作策略",
+        "detail": "正在整理受众、核心卖点和整体表达方向",
+    },
+    "write_plan": {
+        "label": "正在编排视频方案",
+        "detail": "正在安排分段节奏，并锁定角色和商品的一致性",
+    },
+    "write_prompt": {
+        "label": "正在整理出片指令",
+        "detail": "正在把方案转成可直接生成的视频脚本",
+    },
+    "generate_image": {
+        "label": "正在准备生成画面",
+        "detail": "正在整理画面参考与生成条件",
+    },
+    "ask_user": {
+        "label": "正在核对关键设定",
+        "detail": "正在确认会影响成片效果的信息",
+    },
+    "responding": {
+        "label": "正在整理回复内容",
+        "detail": "马上把下一步呈现给你",
+    },
+}
+
+_PUBLIC_REASONING_DETAILS = {
+    "brief": "正在理解这次创作的重点和限制",
+    "product": "正在提炼商品卖点与可呈现的真实证据",
+    "cast": "正在安排角色出镜方式与人物关系",
+    "structure": "正在检查时长、分段节奏和前后衔接",
+    "consistency": "正在锁定人物与商品在各段的一致性",
+    "shots": "正在细化镜头、动作和出片表达",
+}
+
+
+def _public_agent_progress(phase: str, detail_key: str = "") -> dict[str, str]:
+    """把持久化的阶段键转换成用户可见的受控摘要。"""
+    progress = dict(_PUBLIC_AGENT_PROGRESS.get(phase, _PUBLIC_AGENT_PROGRESS["starting"]))
+    if phase == "reasoning":
+        progress["detail"] = _PUBLIC_REASONING_DETAILS.get(detail_key, progress["detail"])
+    return progress
+
+
 class ModelProviderSerializer(serializers.ModelSerializer):
     class Meta:
         model = ModelProvider
@@ -114,17 +173,19 @@ class CreationConversationSerializer(serializers.ModelSerializer):
 
     message_count = serializers.SerializerMethodField()
     cover_url = serializers.SerializerMethodField()
+    agent_progress = serializers.SerializerMethodField()
 
     class Meta:
         model = CreationConversation
         fields = [
             "id", "title", "mode", "preset", "params", "status",
             "agent_status", "agent_started_at",
+            "agent_progress",
             "message_count", "cover_url",
             "last_active_at", "created_at", "updated_at",
         ]
         read_only_fields = [
-            "id", "status", "agent_status", "agent_started_at",
+            "id", "status", "agent_status", "agent_started_at", "agent_progress",
             "message_count", "cover_url",
             "last_active_at", "created_at", "updated_at",
         ]
@@ -149,6 +210,32 @@ class CreationConversationSerializer(serializers.ModelSerializer):
         first = assets[0] or {}
         return first.get("cover") or first.get("url") or ""
 
+    def get_agent_progress(self, obj):
+        """规划期间只返回受控阶段文案，绝不把模型原始 thinking 暴露给页面。"""
+        if obj.agent_status != CreationConversation.AgentStatus.PLANNING:
+            return None
+        memory = obj.memory if isinstance(obj.memory, dict) else {}
+        phase = str(memory.get("agent_progress_phase") or "")
+        if not phase:
+            return None
+        detail_key = str(memory.get("agent_progress_detail_key") or "")
+        progress = _public_agent_progress(phase, detail_key)
+        history: list[dict[str, str]] = []
+        for item in memory.get("agent_progress_history") or []:
+            if not isinstance(item, dict):
+                continue
+            history.append(
+                _public_agent_progress(
+                    str(item.get("phase") or ""),
+                    str(item.get("detail_key") or ""),
+                )
+            )
+        # 兼容服务端升级前已开始的轮次：至少显示当前一条进度。
+        if not history or history[-1] != progress:
+            history.append(progress)
+        progress["history"] = history[-12:]
+        return progress
+
     def update(self, instance, validated_data):
         # mode 定死:允许传但忽略,避免前端误改后顶栏参数与已生成内容对不上
         validated_data.pop("mode", None)