添加全能创作功能

core/backend/apps/ai/creation.py

@@ -0,0 +1,203 @@
+"""全能创作 · 会话与消息的写入服务(契约 §1/§2)。
+
+只放「怎么把一条消息安全落库」这类底座能力;agent 循环、工具执行、SSE 在
+后续的 creation_agent.py 里,别混进来。
+"""
+from __future__ import annotations
+
+from django.db import transaction
+from django.db.models import Max
+from django.utils import timezone
+
+from .models import CreationConversation, CreationMessage
+
+
+@transaction.atomic
+def append_message(
+    conversation: CreationConversation,
+    *,
+    role: str,
+    kind: str = CreationMessage.Kind.TEXT,
+    text: str = "",
+    payload: dict | None = None,
+    refs: list | None = None,
+    task=None,
+) -> CreationMessage:
+    """往会话尾部追加一条消息,并刷新 last_active_at。
+
+    seq 在事务里 select_for_update 锁住会话行再取 max+1 —— SSE 流式期间可能有
+    并发写(用户抢答 / 轮询回填),不锁会撞 uniq_creation_message_seq。
+    """
+    locked = CreationConversation.objects.select_for_update().get(pk=conversation.pk)
+    next_seq = (locked.messages.aggregate(m=Max("seq"))["m"] or 0) + 1
+    message = CreationMessage.objects.create(
+        conversation=locked,
+        role=role,
+        kind=kind,
+        text=text,
+        payload=payload or {},
+        refs=refs or [],
+        task=task,
+        seq=next_seq,
+    )
+    locked.last_active_at = timezone.now()
+    locked.save(update_fields=["last_active_at", "updated_at"])
+    conversation.last_active_at = locked.last_active_at
+    return message
+
+
+def _assets_from_task(task) -> list[dict]:
+    """任务落库的资产 → 结果卡要用的 {id,url,cover,type}。
+
+    URL 必须走长期直链:预签名链 1 小时过期,写进消息 payload 第二天就打不开。
+    """
+    from apps.ai.services import asset_stable_url
+    from apps.assets.models import Asset
+
+    items = []
+    assets = Asset.objects.filter(
+        origin_task=task, is_deleted=False, purged_at__isnull=True,
+    ).prefetch_related("files")
+    for asset in assets:
+        url, cover = asset_stable_url(asset)
+        if not url:
+            continue
+        items.append({
+            "id": str(asset.id),
+            "url": url,
+            "cover": cover or url,
+            "type": "video" if asset.asset_type == Asset.Type.VIDEO else "image",
+        })
+    return items
+
+
+def _meta_from_task(task, message: CreationMessage) -> dict:
+    payload = message.payload or {}
+    req = task.request_payload or {}
+    model = ""
+    if task.model_config_id:
+        model = task.model_config.display_name or task.model_config.name
+    return {
+        "model": model or payload.get("model") or req.get("model") or "",
+        "ratio": req.get("ratio") or payload.get("ratio") or "",
+        "prompt": payload.get("prompt") or req.get("prompt") or "",
+    }
+
+
+def _message_task(message: CreationMessage):
+    """GENERATING 消息挂的任务:优先 FK,payload.task_id 兜底(旧数据 / 序列化往返)。"""
+    if message.task_id:
+        return message.task
+    task_id = (message.payload or {}).get("task_id")
+    if not task_id:
+        return None
+    from .models import AITask
+
+    return AITask.objects.select_related("model_config").filter(id=task_id).first()
+
+
+@transaction.atomic
+def fail_generating_message(message: CreationMessage, error: str) -> CreationMessage:
+    """生成失败:GENERATING 原地改成 ERROR,不另开一条,避免中间态刷屏。"""
+    message.kind = CreationMessage.Kind.ERROR
+    message.text = (error or "生成失败")[:500]
+    message.save(update_fields=["kind", "text", "updated_at"])
+    conversation = message.conversation
+    conversation.status = CreationConversation.Status.FAILED
+    conversation.last_active_at = timezone.now()
+    conversation.save(update_fields=["status", "last_active_at", "updated_at"])
+    return message
+
+
+def sync_generating_message(message: CreationMessage) -> bool:
+    """看挂着的 AITask 是否已经终态,是就把 GENERATING 改成 RESULT / ERROR。
+
+    出图/出片在 worker 里跑,agent 只提交。前端轮询 GET 会话时靠这个回填;
+    worker 结束时也会调一次,不用干等到下一次轮询。
+    返回是否改了这条消息。
+    """
+    from .models import AITask
+
+    if message.kind != CreationMessage.Kind.GENERATING:
+        return False
+    task = _message_task(message)
+    if task is None:
+        return False
+    if task.status == AITask.Status.SUCCEEDED:
+        assets = _assets_from_task(task)
+        if not assets:
+            return False  # 状态已成功但资产还没落(极端竞态),下轮再试
+        finish_generating_message(message, assets=assets, meta=_meta_from_task(task, message))
+        return True
+    if task.status in (AITask.Status.FAILED, AITask.Status.CANCELLED):
+        fail_generating_message(message, task.error_message or "生成失败")
+        return True
+    return False
+
+
+def sync_generating_messages(conversation: CreationConversation) -> int:
+    """把一条会话里所有已结束的 GENERATING 回填。返回改了几条。"""
+    pending = list(
+        conversation.messages.filter(kind=CreationMessage.Kind.GENERATING)
+        .select_related("task", "task__model_config")
+    )
+    return sum(1 for message in pending if sync_generating_message(message))
+
+
+def sync_generating_for_task(task) -> int:
+    """worker / poll 终态后:只扫挂在这个任务上的 GENERATING。失败不能向外抛。"""
+    try:
+        pending = list(
+            CreationMessage.objects.filter(
+                task=task, kind=CreationMessage.Kind.GENERATING,
+            ).select_related("conversation", "task", "task__model_config")
+        )
+        return sum(1 for message in pending if sync_generating_message(message))
+    except Exception:  # noqa: BLE001 — 回填失败不能把已经成功的出图任务打成失败
+        import logging
+
+        logging.getLogger(__name__).warning(
+            "omni create: sync generating for task %s failed", getattr(task, "id", "?"),
+            exc_info=True,
+        )
+        return 0
+
+
+@transaction.atomic
+def finish_generating_message(message: CreationMessage, *, assets: list[dict], meta: dict) -> CreationMessage:
+    """把「生成中」原地改成「结果」(契约 §2:不新增消息,避免中间态刷屏)。
+
+    重生成是**新开一条** GENERATING → RESULT,所以对话流仍然是往下叠加;
+    这里改的只是同一次生成自己的中间态。
+    """
+    message.kind = CreationMessage.Kind.RESULT
+    message.payload = {**(message.payload or {}), **meta, "assets": assets}
+    message.save(update_fields=["kind", "payload", "updated_at"])
+    conversation = message.conversation
+    conversation.status = CreationConversation.Status.COMPLETED
+    conversation.last_active_at = timezone.now()
+    conversation.save(update_fields=["status", "last_active_at", "updated_at"])
+    return message
+
+
+def pin_refs(conversation: CreationConversation, refs: list[dict]) -> list[dict]:
+    """把本轮引用的实体并进「实体锁定」。按 (type, id) 去重,保留首次出现的顺序 ——
+    每轮无条件带上它们,这是多次生成之间锁脸/锁商品的唯一手段(契约 §5)。
+    """
+    merged = list(conversation.pinned_refs or [])
+    seen = {(item.get("type"), str(item.get("id"))) for item in merged}
+    changed = False
+    for ref in refs or []:
+        ref_type, ref_id = ref.get("type"), ref.get("id")
+        if not ref_type or not ref_id:
+            continue  # 缺 type/id 的 ref 解析不出实体,直接丢
+        key = (ref_type, str(ref_id))
+        if key in seen:
+            continue
+        merged.append(ref)
+        seen.add(key)
+        changed = True
+    if changed:
+        conversation.pinned_refs = merged
+        conversation.save(update_fields=["pinned_refs", "updated_at"])
+    return merged

core/backend/apps/ai/creation_presets.py

@@ -0,0 +1,64 @@
+"""全能创作 · 预设(契约 §6)。
+
+首页那 8+6 张预设卡不只是个名字 —— 每个预设代表一套**明确的拍法**。
+只把「达人口播种草」四个字塞进提示词,模型只能靠猜;这里给它可执行的约束。
+
+新增预设 = 在下面加一条,前端 `omni-create.tsx` 的 PRESET 列表加一张卡。两边的
+key 必须是同一个中文名(会话建的时候原样存进 CreationConversation.preset)。
+"""
+from __future__ import annotations
+
+VIDEO_PRESETS: dict[str, str] = {
+    "剧情反转带货": (
+        "轻剧情短片。必须有一个具体的困境场景 → 意外转折 → 商品成为解决问题的关键道具。"
+        "商品不能在开头硬推,要等冲突立住了再自然介入。禁止把普通不便夸成严重后果。"
+    ),
+    "商品拟人广告": (
+        "把商品拟人化成有性格的角色,用它的动作、表情和情绪推进。轻快有趣,不说教。"
+        "拟人化不能牺牲商品真实外观 —— 材质、颜色、结构必须和参考图一致。"
+    ),
+    "达人口播种草": (
+        "真人出镜口播,生活化语气,像朋友分享而不是念广告稿。开头一句话建立停留理由,"
+        "中段讲清使用场景和一个核心卖点,结尾给明确行动理由。禁止万能主播腔和空卖点。"
+    ),
+    "商品图一键成片": (
+        "从商品参考图出发建立镜头语言:主图定调 → 补场景 → 补使用动作 → 收尾。"
+        "节奏清晰,转场干净。商品外观严格以参考图为准。"
+    ),
+    "鱼眼换装": (
+        "鱼眼/广角近距离透视,连续换装节奏。**人物面部和身形必须全程一致**,"
+        "只有服装在变。每次换装用一个明确动作触发。"
+    ),
+    "点触换款": (
+        "统一构图和机位,用点击/触碰动作触发商品款式切换,快速展示多个 SKU。"
+        "背景、光线、机位全程不变 —— 变化只发生在商品本身。"
+    ),
+    "探店漫游": (
+        "以空间动线串联:入口 → 环境 → 关键细节 → 服务/主推项目。"
+        "镜头连续移动有路线感,不要碎切。"
+    ),
+    "品牌质感大片": (
+        "强调光影、材质和镜头节奏,建立品牌识别。慢节奏、精致构图、克制的色彩。"
+        "少即是多,不要堆信息。"
+    ),
+}
+
+IMAGE_PRESETS: dict[str, str] = {
+    "商品场景套图": (
+        "一组风格统一的电商图:主图(干净突出商品)、场景图(真实使用环境)、细节图(材质/工艺特写)。"
+        "三张的光线、色调、质感必须是同一套。"
+    ),
+    "极简棚拍": "干净背景、柔和投影、主体明确居中。大量留白,不加多余道具。适合主图和详情页头图。",
+    "清透自然光人像": "自然光,保留真实肤质和毛孔,不磨皮不过曝。氛围清透,人物状态放松自然。",
+    "生活方式场景": "把商品放进真实生活空间和使用动作里,强调自然可信的生活气息,不要摆拍感。",
+    "高级奢华质感": "深色环境 + 局部高光 + 材质细节特写,强化品牌高级感。对比强但不失细节。",
+    "复古胶片风格": "低饱和、细腻颗粒、柔和对比、偏暖或偏青的胶片色调。怀旧情绪但不脏。",
+}
+
+ALL_PRESETS: dict[str, str] = {**VIDEO_PRESETS, **IMAGE_PRESETS}
+
+
+def preset_guidance(name: str) -> str:
+    """预设名 → 拍法约束。认不出的名字返回 "" —— 前端加了新卡但这里还没写时,
+    退回「只有名字」的行为,不要报错。"""
+    return ALL_PRESETS.get((name or "").strip(), "")

core/backend/apps/ai/free_video.py

@@ -959,6 +959,9 @@ def finalize_free_video(*, task: AITask) -> AITask:
             )
             release_credit(reservation=locked.credit_reservation, reason=raw_message[:200])
         _notify_failure(locked, raw=f"[{code}] {raw_message}", hint=public_error.fallback_message)
+        from apps.ai.creation import sync_generating_for_task
+
+        sync_generating_for_task(locked)
         return locked
 
     # succeeded —— 认领 POSTPROCESSING(并发 finalize 只有一路进入慢活)
@@ -1025,6 +1028,9 @@ def finalize_free_video(*, task: AITask) -> AITask:
                 update_fields=["status", "actual_cost", "base_cost", "request_payload", "response_payload", "completed_at", "updated_at"]
             )
             charge_reserved_credit(reservation=reservation, actual_amount=actual)
+        from apps.ai.creation import sync_generating_for_task
+
+        sync_generating_for_task(locked)
         return locked
     except Exception as exc:  # noqa: BLE001 — 后处理失败:标失败退费(release 幂等,已扣则不动)
         logger.exception("free video finalize failed for task %s", locked.id)
@@ -1045,6 +1051,9 @@ def finalize_free_video(*, task: AITask) -> AITask:
             locked.save(update_fields=["status", "error_code", "error_message", "completed_at", "updated_at"])
             release_credit(reservation=locked.credit_reservation, reason=str(exc)[:200])
         _notify_failure(locked, raw=str(exc), hint=public_error.fallback_message)
+        from apps.ai.creation import sync_generating_for_task
+
+        sync_generating_for_task(locked)
         return locked
 
 

core/backend/apps/ai/mentions.py

@@ -0,0 +1,366 @@
+"""全能创作 · @引用:实体检索 与 Ref 解析(契约 §1/§3)。
+
+两件事:
+1. `search_mentions()` —— 输入框打 @ 时的检索,返回 [Ref] 给前端渲染菜单。
+2. `resolve_refs()` —— 把消息里的 [Ref] 变成模型真正吃得下的两样东西:
+   **事实文本**(卖点/规格,进提示词)+ **参考图**(进 content_items,锁脸/锁商品/锁场景)。
+
+铁律:消息里存的是结构化 Ref(type + id),**不是** "@净颜精华" 这串字。
+后端必须拿 id 回表取事实与图,靠字符串匹配迟早对不上。
+"""
+from __future__ import annotations
+
+import uuid
+from dataclasses import dataclass, field
+
+from apps.assets.models import Asset, Model
+from apps.products.models import Product
+
+from .services import _asset_preview_url, _product_cover_url
+
+# Ref.type → 前端菜单里的分组名(设计稿 .omni-mention-group 的 small 文案)
+TYPE_LABELS = {
+    "product": "商品库",
+    "model": "模特库",
+    "character": "角色",
+    "scene": "场景库",
+    "asset": "资产库",
+}
+VALID_TYPES = tuple(TYPE_LABELS)
+DEFAULT_TYPES = VALID_TYPES
+
+# 参考图顺序固定:角色 → 场景 → 商品。这个顺序是出片模型 @图N 的语义依据,别改。
+_REF_ORDER = {"model": 0, "character": 0, "scene": 1, "product": 2, "asset": 3}
+# 火山单次出片最多 9 张图;留足余量,超出的靠优先级截断而不是报错
+MAX_REFERENCE_IMAGES = 6
+
+# 「资产库」是兜底分组,不重复列已经有专属分组的资产 ——
+# 否则同一张定妆照会在「角色」和「资产库」各出现一次,菜单里看着像两个素材。
+ASSET_EXCLUDED_CATEGORIES = (
+    Asset.Category.PERSON,        # → character
+    Asset.Category.SCENE,         # → scene
+    Asset.Category.MODEL_PORTRAIT,  # → model
+    Asset.Category.TRI_VIEW,        # → model
+)
+
+
+@dataclass
+class ResolvedRefs:
+    """resolve_refs 的产物。facts 进提示词,references 进 content_items。"""
+
+    facts: list[str] = field(default_factory=list)
+    references: list[dict] = field(default_factory=list)
+    missing: list[dict] = field(default_factory=list)  # 删掉/不属于本团队的引用,要在对话里告诉用户
+
+    @property
+    def facts_text(self) -> str:
+        return "\n\n".join(self.facts)
+
+
+def _ref(type_: str, obj_id, name: str, cover: str = "") -> dict:
+    return {"type": type_, "id": str(obj_id), "name": name, "cover": cover}
+
+
+def _search_products(team, q: str, limit: int) -> list[dict]:
+    queryset = Product.objects.filter(team=team, purged_at__isnull=True)
+    if q:
+        queryset = queryset.filter(title__icontains=q)
+    out = []
+    for product in queryset.order_by("-created_at")[:limit]:
+        out.append(_ref("product", product.id, product.title, _product_cover_url(product)))
+    return out
+
+
+def _search_models(team, q: str, limit: int) -> list[dict]:
+    queryset = Model.objects.filter(team=team, is_deleted=False, purged_at__isnull=True)
+    if q:
+        queryset = queryset.filter(name__icontains=q)
+    out = []
+    for model in queryset.select_related("portrait_asset")[:limit]:
+        out.append(_ref("model", model.id, model.name, _asset_preview_url(model.portrait_asset)))
+    return out
+
+
+def _search_assets(team, q: str, limit: int, categories: tuple[str, ...], type_: str) -> list[dict]:
+    queryset = Asset.objects.filter(
+        team=team,
+        is_deleted=False,
+        purged_at__isnull=True,
+        asset_type=Asset.Type.IMAGE,
+        category__in=categories,
+    )
+    if type_ == "asset":
+        # 「资产库」只列用户真正加进库的图,不然工作台的每张试验图都会冒出来
+        queryset = queryset.filter(in_library=True)
+    if q:
+        queryset = queryset.filter(name__icontains=q)
+    out = []
+    for asset in queryset.order_by("-created_at")[:limit]:
+        out.append(_ref(type_, asset.id, asset.name, _asset_preview_url(asset)))
+    return out
+
+
+def search_mentions(team, q: str = "", types: list[str] | None = None, limit: int = 8) -> list[dict]:
+    """@ 检索。types 不传则全类型各取 limit 条,按 商品 → 模特 → 角色 → 场景 → 资产 排。"""
+    wanted = [t for t in (types or DEFAULT_TYPES) if t in TYPE_LABELS]
+    q = (q or "").strip()
+    results: list[dict] = []
+    for type_ in wanted:
+        if type_ == "product":
+            results.extend(_search_products(team, q, limit))
+        elif type_ == "model":
+            results.extend(_search_models(team, q, limit))
+        elif type_ == "character":
+            results.extend(_search_assets(team, q, limit, (Asset.Category.PERSON,), "character"))
+        elif type_ == "scene":
+            results.extend(_search_assets(team, q, limit, (Asset.Category.SCENE,), "scene"))
+        elif type_ == "asset":
+            categories = tuple(
+                c for c in Asset.Category.values if c not in ASSET_EXCLUDED_CATEGORIES
+            )
+            results.extend(_search_assets(team, q, limit, categories, "asset"))
+    return results
+
+
+_KEY_TO_TYPES = {
+    "product": ["product"],
+    "sku": ["product"],
+    "goods": ["product"],
+    "item": ["product"],
+    "model": ["model"],
+    "character": ["character"],
+    "person": ["character"],
+    "scene": ["scene"],
+    "asset": ["asset"],
+}
+
+
+def infer_field_types(field: dict) -> list[str]:
+    """追问卡字段 → 该去哪类库里解析用户的选择。"""
+    typed = [t for t in (field.get("asset_types") or []) if t in TYPE_LABELS]
+    if typed:
+        return typed
+    key = str(field.get("key") or "").strip().lower()
+    if key in _KEY_TO_TYPES:
+        return _KEY_TO_TYPES[key]
+    label = str(field.get("label") or "")
+    if "商品" in label:
+        return ["product"]
+    if "模特" in label:
+        return ["model"]
+    if "角色" in label or "人物" in label:
+        return ["character"]
+    if "场景" in label:
+        return ["scene"]
+    return list(DEFAULT_TYPES)
+
+
+def lookup_mention(team, value: str, types: list[str] | None = None) -> dict | None:
+    """把追问卡里的选项值(实体 id 或精确名字)还原成 Ref。对不上就返回 None,绝不瞎配。"""
+    raw = str(value or "").strip()
+    if not raw:
+        return None
+    wanted = [t for t in (types or DEFAULT_TYPES) if t in TYPE_LABELS] or list(DEFAULT_TYPES)
+    uid = None
+    try:
+        uid = str(uuid.UUID(raw))
+    except ValueError:
+        uid = None
+    if uid:
+        if "product" in wanted:
+            product = Product.objects.filter(team=team, id=uid, purged_at__isnull=True).first()
+            if product:
+                return _ref("product", product.id, product.title, _product_cover_url(product))
+        if "model" in wanted:
+            model = (
+                Model.objects.filter(team=team, id=uid, is_deleted=False, purged_at__isnull=True)
+                .select_related("portrait_asset")
+                .first()
+            )
+            if model:
+                return _ref("model", model.id, model.name, _asset_preview_url(model.portrait_asset))
+        if any(t in wanted for t in ("character", "scene", "asset")):
+            asset = Asset.objects.filter(
+                team=team, id=uid, is_deleted=False, purged_at__isnull=True
+            ).first()
+            if asset is not None:
+                if asset.category == Asset.Category.PERSON:
+                    type_ = "character"
+                elif asset.category == Asset.Category.SCENE:
+                    type_ = "scene"
+                else:
+                    type_ = "asset"
+                if type_ in wanted:
+                    return _ref(type_, asset.id, asset.name, _asset_preview_url(asset))
+        if types:
+            return lookup_mention(team, raw, None)
+        return None
+    hits = search_mentions(team, q=raw, types=wanted, limit=8)
+    for hit in hits:
+        if (hit.get("name") or "") == raw:
+            return hit
+    return None
+
+
+def refs_from_elicit_answers(team, fields, answers: dict) -> list[dict]:
+    """用户在追问卡里点选的商品/角色等 → 可 pin 的 Ref。
+    模型常用 type=single + 选项 value=商品id/名字,前端只回 answers 不回 refs,
+    不在这里补上的话出片参考图里就没有这件商品。"""
+    refs: list[dict] = []
+    seen: set[tuple] = set()
+    for field in fields or []:
+        if not isinstance(field, dict):
+            continue
+        key = str(field.get("key") or "")
+        if key in {"duration", "ratio", "resolution", "video_model", "count"}:
+            continue
+        raw = (answers or {}).get(field.get("key"))
+        if raw is None:
+            continue
+        values = raw if isinstance(raw, list) else [raw]
+        inferred = infer_field_types(field)
+        for value in values:
+            ref = lookup_mention(team, str(value or ""), inferred)
+            if ref is None:
+                continue
+            mark = (ref.get("type"), str(ref.get("id")))
+            if mark in seen:
+                continue
+            seen.add(mark)
+            refs.append(ref)
+    return refs
+
+
+def product_facts_text(product) -> str:
+    """商品事实块。全能创作没有 project,所以不能复用 script_agent._product_context()。
+    这里只给**客观事实**(标题/品牌/品类/规格/卖点),不带人设和口吻 —— 那些由策略卡决定。"""
+    lines = [f"商品:{product.title}"]
+    if product.brand:
+        lines.append(f"品牌:{product.brand}")
+    if product.category:
+        lines.append(f"品类:{product.category}")
+    if product.target_audience:
+        lines.append(f"目标人群:{product.target_audience}")
+    description = (product.description or "").strip()
+    if description:
+        lines.append(f"商品描述:{description}")
+    specs = product.specs if isinstance(product.specs, dict) else {}
+    spec_text = "、".join(f"{k}:{v}" for k, v in specs.items() if v)
+    if spec_text:
+        lines.append(f"规格:{spec_text}")
+    points = list(product.selling_points.order_by("sort_order", "created_at"))
+    if points:
+        joined = "\n".join(f"- {p.title}:{p.detail or p.title}" for p in points)
+        lines.append(f"卖点:\n{joined}")
+    return "\n".join(lines)
+
+
+def _asset_reference(asset, type_: str, label: str) -> dict | None:
+    """Asset → 参考图条目。带上审核态,视频路据此换成火山 asset:// 引用(否则真人图会被判「疑似真人」拒)。"""
+    url = _asset_preview_url(asset)
+    if not url:
+        return None
+    return {
+        "url": url,
+        "type": type_,
+        "label": label,
+        "asset_id": str(asset.id),
+        "review_status": asset.review_status,
+        "review_remote_id": asset.review_remote_id,
+    }
+
+
+def _product_reference(product) -> dict | None:
+    """商品参考图:**真实上传图优先,排除 AI 生成图** —— 拿生成图当真相再喂回模型会误差累积。
+    一张真实图都没有才回落封面(可能是 AI 图,但好过纯文生图)。
+
+    这里不复用 services._product_reference_urls():那个只返回 url,而视频路还需要
+    asset_id 和审核态才能把图换成火山 asset:// 引用(商品图也可能出现真人上身)。
+    """
+    rels = sorted(product.images.select_related("asset").all(), key=lambda im: (not im.is_primary, im.sort_order))
+    for rel in rels:
+        asset = rel.asset
+        if asset is None or asset.source == Asset.Source.AI_GENERATED:
+            continue
+        entry = _asset_reference(asset, "product", product.title)
+        if entry:
+            return entry
+    if product.cover_asset_id:
+        entry = _asset_reference(product.cover_asset, "product", product.title)
+        if entry:
+            return entry
+    cover = _product_cover_url(product)
+    return (
+        {"url": cover, "type": "product", "label": product.title,
+         "asset_id": "", "review_status": "", "review_remote_id": ""}
+        if cover else None
+    )
+
+
+def resolve_refs(team, refs: list[dict]) -> ResolvedRefs:
+    """[Ref] → 事实文本 + 参考图。查不到的进 missing,**不抛异常** ——
+    素材被别人删掉不该让整条对话崩掉,该由 agent 在对话里说明。"""
+    resolved = ResolvedRefs()
+    for ref in refs or []:
+        type_, ref_id = ref.get("type"), ref.get("id")
+        if type_ not in TYPE_LABELS or not ref_id:
+            continue
+        if type_ == "product":
+            product = Product.objects.filter(team=team, id=ref_id, purged_at__isnull=True).first()
+            if product is None:
+                resolved.missing.append(ref)
+                continue
+            resolved.facts.append(product_facts_text(product))
+            entry = _product_reference(product)
+            if entry:
+                resolved.references.append(entry)
+            continue
+        if type_ == "model":
+            model = Model.objects.filter(
+                team=team, id=ref_id, is_deleted=False, purged_at__isnull=True
+            ).select_related("triview_asset", "portrait_asset").first()
+            if model is None:
+                resolved.missing.append(ref)
+                continue
+            if (model.description or "").strip():
+                resolved.facts.append(f"模特「{model.name}」:{model.description.strip()}")
+            # 锁脸优先用三视图(正/侧/背都在一张 16:9 里,信息量最大),没有才回落形象图
+            entry = _asset_reference(model.triview_asset, "model", model.name) or _asset_reference(
+                model.portrait_asset, "model", model.name
+            )
+            if entry:
+                resolved.references.append(entry)
+            else:
+                resolved.missing.append(ref)
+            continue
+        asset = Asset.objects.filter(
+            team=team, id=ref_id, is_deleted=False, purged_at__isnull=True
+        ).first()
+        if asset is None:
+            resolved.missing.append(ref)
+            continue
+        if (asset.description or "").strip():
+            resolved.facts.append(f"{TYPE_LABELS[type_]}「{asset.name}」:{asset.description.strip()}")
+        entry = _asset_reference(asset, type_, asset.name)
+        if entry:
+            resolved.references.append(entry)
+        else:
+            resolved.missing.append(ref)
+
+    # 角色 → 场景 → 商品。同优先级内保持用户 @ 的先后。
+    resolved.references.sort(key=lambda item: _REF_ORDER.get(item["type"], 9))
+    resolved.references = _dedupe_references(resolved.references)[:MAX_REFERENCE_IMAGES]
+    return resolved
+
+
+def _dedupe_references(references: list[dict]) -> list[dict]:
+    """同一张图被 @ 两次(比如商品图同时是资产库图)只留一条,否则 @图N 编号会错位。"""
+    out: list[dict] = []
+    seen: set[str] = set()
+    for item in references:
+        key = item.get("url") or ""
+        if not key or key in seen:
+            continue
+        seen.add(key)
+        out.append(item)
+    return out

core/backend/apps/ai/migrations/0034_creationconversation_creationmessage_and_more.py

@@ -0,0 +1,77 @@
+# Generated by Django 5.1.15 on 2026-09-02 09:45
+
+import django.db.models.deletion
+import uuid
+from django.conf import settings
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('accounts', '0009_team_price_multiplier'),
+        ('ai', '0033_seedance_25_capabilities'),
+        migrations.swappable_dependency(settings.AUTH_USER_MODEL),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='CreationConversation',
+            fields=[
+                ('id', models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)),
+                ('created_at', models.DateTimeField(auto_now_add=True)),
+                ('updated_at', models.DateTimeField(auto_now=True)),
+                ('title', models.CharField(default='未命名创作', max_length=120)),
+                ('mode', models.CharField(choices=[('video', '视频创作'), ('image', '图片创作')], default='video', max_length=16)),
+                ('preset', models.CharField(blank=True, default='', max_length=64)),
+                ('params', models.JSONField(blank=True, default=dict)),
+                ('pinned_refs', models.JSONField(blank=True, default=list)),
+                ('memory', models.JSONField(blank=True, default=dict)),
+                ('status', models.CharField(choices=[('running', '进行中'), ('completed', '已完成'), ('failed', '失败')], default='running', max_length=16)),
+                ('last_active_at', models.DateTimeField(auto_now_add=True)),
+                ('is_deleted', models.BooleanField(default=False)),
+                ('purged_at', models.DateTimeField(blank=True, null=True)),
+                ('created_by', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='created_%(class)s_set', to=settings.AUTH_USER_MODEL)),
+                ('team', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='%(class)s_set', to='accounts.team')),
+            ],
+        ),
+        migrations.CreateModel(
+            name='CreationMessage',
+            fields=[
+                ('id', models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True, serialize=False)),
+                ('created_at', models.DateTimeField(auto_now_add=True)),
+                ('updated_at', models.DateTimeField(auto_now=True)),
+                ('role', models.CharField(choices=[('user', '用户'), ('assistant', 'AI'), ('system', '系统')], max_length=16)),
+                ('kind', models.CharField(choices=[('text', '文字气泡'), ('elicit', '追问卡'), ('strategy', '创作策略理解卡'), ('plan', '视频最终方案卡'), ('prompt_file', '生成 Prompt 文件卡'), ('confirm', '确认闸门(带预计积分)'), ('generating', '生成中'), ('result', '生成结果'), ('error', '错误')], default='text', max_length=24)),
+                ('text', models.TextField(blank=True, default='')),
+                ('payload', models.JSONField(blank=True, default=dict)),
+                ('refs', models.JSONField(blank=True, default=list)),
+                ('seq', models.PositiveIntegerField(default=0)),
+                ('conversation', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='messages', to='ai.creationconversation')),
+                ('task', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='creation_messages', to='ai.aitask')),
+            ],
+            options={
+                'ordering': ['seq', 'created_at'],
+            },
+        ),
+        migrations.AddIndex(
+            model_name='creationconversation',
+            index=models.Index(fields=['team', '-last_active_at'], name='ai_creation_team_id_82f111_idx'),
+        ),
+        migrations.AddIndex(
+            model_name='creationconversation',
+            index=models.Index(fields=['team', 'status', '-last_active_at'], name='ai_creation_team_id_3aa2e5_idx'),
+        ),
+        migrations.AddIndex(
+            model_name='creationconversation',
+            index=models.Index(fields=['team', 'is_deleted', 'purged_at'], name='ai_creation_team_id_26e56a_idx'),
+        ),
+        migrations.AddIndex(
+            model_name='creationmessage',
+            index=models.Index(fields=['conversation', 'seq'], name='ai_creation_convers_e9c745_idx'),
+        ),
+        migrations.AddConstraint(
+            model_name='creationmessage',
+            constraint=models.UniqueConstraint(fields=('conversation', 'seq'), name='uniq_creation_message_seq'),
+        ),
+    ]

core/backend/apps/ai/models.py

@@ -279,3 +279,108 @@ class PromptTemplate(TimeStampedModel):
     def __str__(self) -> str:
         return f"prompt:{self.key}"
 
+
+class CreationConversation(TeamOwnedModel):
+    """全能创作的会话。一条会话 = 一次完整创作(可多轮改稿、多次出图/出片)。
+
+    和 ImageConversation 的区别:那张表只是「生图线程」,没有消息实体,历史靠 AITask 拼;
+    这里是真对话,消息落 CreationMessage。两者并存,互不影响(图片工作台仍走旧表)。
+
+    mode 发起时定死,会话内不可切(设计稿顶栏的模型/分辨率/比例跟着 mode 固定)。
+    pinned_refs 是「实体锁定」:本会话引用过的商品/角色/场景,每轮无条件带进上下文 ——
+    这是多次生成之间锁脸、锁商品的唯一手段,别省。
+    """
+
+    class Mode(models.TextChoices):
+        VIDEO = "video", "视频创作"
+        IMAGE = "image", "图片创作"
+
+    class Status(models.TextChoices):
+        RUNNING = "running", "进行中"
+        COMPLETED = "completed", "已完成"
+        FAILED = "failed", "失败"
+
+    title = models.CharField(max_length=120, default="未命名创作")
+    mode = models.CharField(max_length=16, choices=Mode.choices, default=Mode.VIDEO)
+    preset = models.CharField(max_length=64, blank=True, default="")  # "" = 自由创作
+    # 会话级参数:{model, resolution, ratio, duration} —— 设计稿顶栏 meta 就渲染它
+    params = models.JSONField(default=dict, blank=True)
+    # 实体锁定:[Ref],见契约 §1。每轮无条件带上
+    pinned_refs = models.JSONField(default=list, blank=True)
+    # 记忆:{summary, artifacts:[{msg_id,asset_id,prompt,kind}], turn_count}
+    memory = models.JSONField(default=dict, blank=True)
+    status = models.CharField(max_length=16, choices=Status.choices, default=Status.RUNNING)
+    last_active_at = models.DateTimeField(auto_now_add=True)
+    is_deleted = models.BooleanField(default=False)
+    purged_at = models.DateTimeField(null=True, blank=True)
+
+    class Meta:
+        indexes = [
+            # 创作历史页:按团队 + 最近活跃倒序
+            models.Index(fields=["team", "-last_active_at"]),
+            models.Index(fields=["team", "status", "-last_active_at"]),
+            models.Index(fields=["team", "is_deleted", "purged_at"]),
+        ]
+
+    def __str__(self) -> str:
+        return f"creation:{self.mode}:{self.title}"
+
+
+class CreationMessage(TimeStampedModel):
+    """全能创作对话流里的一条消息。kind 决定前端渲染成哪种卡片(见契约 §2)。
+
+    text 只给 TEXT 用;其余 kind 的内容全在 payload 里 —— 前端按 kind 走不同组件,
+    别把结构化内容塞进 text 再让前端解析。
+
+    生成类消息(GENERATING / RESULT)挂 task:提交时先落一条 GENERATING,
+    轮询到终态后**原地改成 RESULT**(不新增消息),这样对话流不会被中间态刷屏。
+    """
+
+    class Role(models.TextChoices):
+        USER = "user", "用户"
+        ASSISTANT = "assistant", "AI"
+        SYSTEM = "system", "系统"
+
+    class Kind(models.TextChoices):
+        TEXT = "text", "文字气泡"
+        ELICIT = "elicit", "追问卡"  # AI 反问用户,带 单选/多选/填空/选素材 控件
+        STRATEGY = "strategy", "创作策略理解卡"
+        PLAN = "plan", "视频最终方案卡"
+        PROMPT_FILE = "prompt_file", "生成 Prompt 文件卡"
+        CONFIRM = "confirm", "确认闸门(带预计积分)"
+        GENERATING = "generating", "生成中"
+        RESULT = "result", "生成结果"
+        ERROR = "error", "错误"
+
+    conversation = models.ForeignKey(
+        CreationConversation, on_delete=models.CASCADE, related_name="messages"
+    )
+    role = models.CharField(max_length=16, choices=Role.choices)
+    kind = models.CharField(max_length=24, choices=Kind.choices, default=Kind.TEXT)
+    text = models.TextField(blank=True, default="")
+    payload = models.JSONField(default=dict, blank=True)
+    # 本条消息引用的实体:[Ref]。用 id 取事实与参考图,不许只存 "@商品名" 字符串
+    refs = models.JSONField(default=list, blank=True)
+    task = models.ForeignKey(
+        AITask,
+        on_delete=models.SET_NULL,
+        null=True,
+        blank=True,
+        related_name="creation_messages",
+    )
+    # 会话内自增渲染序;并发插入靠 select_for_update 取 max+1
+    seq = models.PositiveIntegerField(default=0)
+
+    class Meta:
+        ordering = ["seq", "created_at"]
+        indexes = [
+            models.Index(fields=["conversation", "seq"]),
+        ]
+        constraints = [
+            models.UniqueConstraint(
+                fields=["conversation", "seq"], name="uniq_creation_message_seq"
+            ),
+        ]
+
+    def __str__(self) -> str:
+        return f"msg:{self.kind}:{self.seq}"

core/backend/apps/ai/serializers.py

@@ -1,6 +1,13 @@
 from rest_framework import serializers
 
-from .models import AITask, ImageConversation, ModelConfig, ModelProvider
+from .models import (
+    AITask,
+    CreationConversation,
+    CreationMessage,
+    ImageConversation,
+    ModelConfig,
+    ModelProvider,
+)
 
 
 class ModelProviderSerializer(serializers.ModelSerializer):
@@ -89,3 +96,71 @@ class AITaskSerializer(serializers.ModelSerializer):
         # batch_id / mode 是显式声明的 SerializerMethodField(本就只读),不能再列进 read_only_fields(DRF 会报错)
         read_only_fields = [f for f in fields if f not in ("batch_id", "mode")]
 
+
+
+class CreationMessageSerializer(serializers.ModelSerializer):
+    """全能创作对话流里的一条消息。前端**按 kind 分发到不同卡片组件**,
+    结构化内容一律在 payload 里(契约 §2),不要从 text 里解析。"""
+
+    class Meta:
+        model = CreationMessage
+        fields = ["id", "role", "kind", "text", "payload", "refs", "task", "seq", "created_at"]
+        read_only_fields = fields
+
+
+class CreationConversationSerializer(serializers.ModelSerializer):
+    """会话列表 / 详情。title 可写(重命名);params 创建后也可改(对话页改模型/比例后立刻生效);
+    mode 创建后不可改。"""
+
+    message_count = serializers.SerializerMethodField()
+    cover_url = serializers.SerializerMethodField()
+
+    class Meta:
+        model = CreationConversation
+        fields = [
+            "id", "title", "mode", "preset", "params", "status",
+            "message_count", "cover_url",
+            "last_active_at", "created_at", "updated_at",
+        ]
+        read_only_fields = [
+            "id", "status", "message_count", "cover_url",
+            "last_active_at", "created_at", "updated_at",
+        ]
+
+    def get_message_count(self, obj) -> int:
+        cached = getattr(obj, "_message_count", None)
+        return cached if cached is not None else obj.messages.count()
+
+    def get_cover_url(self, obj) -> str:
+        """历史页封面 = **最新一版**结果(重生成是往下叠加,所以取最后一条 RESULT)。"""
+        last = (
+            obj.messages.filter(kind=CreationMessage.Kind.RESULT)
+            .order_by("-seq")
+            .values_list("payload", flat=True)
+            .first()
+        )
+        if not last:
+            return ""
+        assets = (last or {}).get("assets") or []
+        if not assets:
+            return ""
+        first = assets[0] or {}
+        return first.get("cover") or first.get("url") or ""
+
+    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)
+        return super().update(instance, validated_data)
+
+
+class CreationConversationDetailSerializer(CreationConversationSerializer):
+    """详情:带全量消息,进对话页一次性回填。"""
+
+    messages = CreationMessageSerializer(many=True, read_only=True)
+    pinned_refs = serializers.JSONField(read_only=True)
+
+    class Meta(CreationConversationSerializer.Meta):
+        fields = [*CreationConversationSerializer.Meta.fields, "messages", "pinned_refs"]
+        read_only_fields = [
+            *CreationConversationSerializer.Meta.read_only_fields, "messages", "pinned_refs",
+        ]

core/backend/apps/ai/services.py

@@ -3883,6 +3883,11 @@ def run_standalone_image_task(*, task_id: str) -> None:
             task=task, project=task.project, recipient=user,
             stage_label="图片创作", raw=str(exc), hint=friendly_generation_error(str(exc)),
         )
+    from apps.ai.creation import sync_generating_for_task
+
+    # 全能创作挂在这条任务上的 GENERATING 要立刻改成 RESULT/ERROR,
+    # 不能干等前端下一次轮询 —— 否则页面会一直停在「正在生成」。
+    sync_generating_for_task(task)
 
 
 # ── 旁白配音(TTS):每镜旁白合成一段语音,导出时作为人声轨混在 BGM 之上 ──

core/backend/apps/ai/test_creation_agent.py

@@ -0,0 +1,733 @@
+"""全能创作 · Agent 循环与 SSE(契约 §3/§4)。
+
+用假 provider 逐帧回放模型输出,验证的是**编排**而不是模型质量:
+工具调用拼装、追问中断、计费闸门、参考图带入、错误不打崩流。
+"""
+import json
+from unittest.mock import patch
+
+from django.test import TestCase
+from rest_framework.test import APIClient
+
+from apps.accounts.models import Team, TeamMember, User
+from apps.assets.models import Asset, AssetFile
+from apps.products.models import Product, ProductImage
+
+from .creation import append_message
+from .creation_agent import (
+    COMPRESS_MIN_BATCH,
+    DEFAULT_VIDEO_MODEL,
+    KEEP_RECENT_MESSAGES,
+    SMART_DURATION,
+    _coerce_fields,
+    _image_count,
+    _merge_tool_call_deltas,
+    stream_creation_agent,
+    submit_confirmed_video,
+    video_duration,
+    video_model_name,
+    wanted_asset_pick,
+    wanted_param_keys,
+)
+from .models import AITask, CreationConversation, CreationMessage, ModelConfig, ModelProvider
+
+
+def _text_chunks(text):
+    for piece in text:
+        yield {"type": "delta", "text": piece}
+    yield {"type": "done"}
+
+
+def _tool_chunks(name, arguments, *, said=""):
+    """模拟 OpenAI 流式:arguments 被拆成多片下发。"""
+    for piece in said:
+        yield {"type": "delta", "text": piece}
+    yield {"type": "tool_call", "tool_calls": [{"index": 0, "function": {"name": name, "arguments": ""}}]}
+    blob = json.dumps(arguments, ensure_ascii=False)
+    for i in range(0, len(blob), 7):
+        yield {"type": "tool_call", "tool_calls": [{"index": 0, "function": {"arguments": blob[i:i + 7]}}]}
+    yield {"type": "done"}
+
+
+class FakeProvider:
+    """按脚本逐轮回放。每调用一次 chat_completion_stream 消费一个剧本。"""
+
+    def __init__(self, scripts):
+        self.scripts = list(scripts)
+        self.calls = []
+
+    def chat_completion_stream(self, **kwargs):
+        self.calls.append(kwargs)
+        if not self.scripts:
+            return iter([{"type": "done"}])
+        return self.scripts.pop(0)
+
+
+def _events(stream):
+    out = []
+    for frame in stream:
+        for line in frame.strip().splitlines():
+            if line.startswith("data: "):
+                out.append(json.loads(line[6:]))
+    return out
+
+
+class CreationAgentBaseTests(TestCase):
+    def setUp(self):
+        self.user = User.objects.create_user(username="agent-owner", password="p")
+        self.team = Team.objects.create(name="Agent", owner=self.user)
+        provider = ModelProvider.objects.create(name="fake", display_name="Fake", base_url="https://x")
+        self.model = ModelConfig.objects.create(
+            provider=provider, name="fake-text", display_name="Fake Text",
+            capability=ModelConfig.Capability.TEXT, endpoint="chat/completions",
+        )
+        self.conversation = CreationConversation.objects.create(
+            team=self.team, created_by=self.user, mode="image", title="出图",
+            params={"ratio": "1:1", "model": "Seedream5.0"},
+        )
+
+    def _run(self, scripts, text="来一张商品图", refs=None):
+        fake = FakeProvider(scripts)
+        with patch("apps.ai.creation_agent.build_provider", return_value=fake):
+            events = _events(stream_creation_agent(
+                conversation=self.conversation, user=self.user,
+                text=text, refs=refs or [], model_config=self.model,
+            ))
+        return events, fake
+
+
+class ToolCallAssemblyTests(TestCase):
+    def test_streamed_arguments_are_concatenated_not_overwritten(self):
+        buffer = {}
+        _merge_tool_call_deltas(buffer, [{"index": 0, "function": {"name": "ask_user", "arguments": '{"a"'}}])
+        _merge_tool_call_deltas(buffer, [{"index": 0, "function": {"arguments": ':1}'}}])
+        # 覆盖式赋值会只剩最后一片,tool call 直接废掉
+        self.assertEqual(buffer[0], {"name": "ask_user", "arguments": '{"a":1}'})
+
+    def test_multiple_parallel_tool_calls_keep_separate_slots(self):
+        buffer = {}
+        _merge_tool_call_deltas(buffer, [
+            {"index": 0, "function": {"name": "search_library", "arguments": "{}"}},
+            {"index": 1, "function": {"name": "ask_user", "arguments": "{}"}},
+        ])
+        self.assertEqual({buffer[0]["name"], buffer[1]["name"]}, {"search_library", "ask_user"})
+
+
+class ImageCountTests(TestCase):
+    def test_session_sheet_count_wins(self):
+        self.assertEqual(_image_count({"count": "2 张"}, 4), 2)
+        self.assertEqual(_image_count({"duration": "4 张"}, None), 4)
+
+    def test_tool_count_used_when_user_did_not_pick(self):
+        self.assertEqual(_image_count({"duration": "智能时长"}, 3), 3)
+        self.assertEqual(_image_count({}, None), 1)
+        self.assertEqual(_image_count({}, 9), 8)
+
+
+class FieldCoercionTests(TestCase):
+    def test_single_choice_without_options_is_dropped(self):
+        fields = _coerce_fields([{"key": "tone", "label": "什么调性?", "type": "single"}])
+        self.assertEqual(fields, [])  # 没选项的单选是废卡
+
+    def test_text_and_asset_fields_get_their_defaults(self):
+        fields = _coerce_fields([
+            {"key": "slogan", "label": "想突出哪句话?", "type": "text"},
+            {"key": "who", "label": "用哪个模特?", "type": "asset"},
+        ])
+        self.assertEqual(fields[0]["placeholder"], "")
+        self.assertIn("product", fields[1]["asset_types"])
+
+    def test_unknown_type_and_over_limit_are_trimmed(self):
+        raw = [{"key": f"k{i}", "label": "x", "type": "text"} for i in range(5)]
+        raw.append({"key": "bad", "label": "x", "type": "dropdown"})
+        self.assertEqual(len(_coerce_fields(raw)), 3)  # 一次最多问 3 项
+
+    def test_product_text_or_single_is_coerced_to_asset_card(self):
+        fields = _coerce_fields([
+            {"key": "product", "label": "选择商品", "type": "single",
+             "options": [{"value": "a", "label": "A"}]},
+        ])
+        self.assertEqual(fields[0]["type"], "asset")
+        self.assertEqual(fields[0]["asset_types"], ["product"])
+
+    def test_duration_single_stays_single(self):
+        fields = _coerce_fields([
+            {"key": "duration", "label": "改成多长？", "type": "single",
+             "options": [{"value": "10 秒", "label": "10 秒"}]},
+        ])
+        self.assertEqual(fields[0]["type"], "single")
+        self.assertEqual(fields[0]["options"][0]["value"], "10 秒")
+
+
+class AssetPickIntentTests(TestCase):
+    def test_change_product_without_at_should_open_picker(self):
+        self.assertEqual(wanted_asset_pick("我想修改商品", []), "product")
+        self.assertEqual(wanted_asset_pick("换个角色", []), "character")
+
+    def test_named_or_already_referenced_does_not_force_picker(self):
+        self.assertIsNone(wanted_asset_pick("换成净颜精华", []))
+        self.assertIsNone(wanted_asset_pick("我想修改商品", [{"type": "product", "id": "1"}]))
+
+
+class ParamPickIntentTests(TestCase):
+    def test_change_duration_opens_duration_card(self):
+        self.assertEqual(wanted_param_keys("我想改时长", is_video=True), ["duration"])
+        self.assertEqual(wanted_param_keys("改成 10 秒", is_video=True), ["duration"])
+
+    def test_change_model_does_not_mean_character_model(self):
+        self.assertEqual(wanted_param_keys("换个模型", is_video=True), ["video_model"])
+        self.assertEqual(wanted_param_keys("改模特", is_video=True), [])
+
+
+class AskUserTests(CreationAgentBaseTests):
+    def test_saying_change_duration_injects_param_card(self):
+        events, _ = self._run([_text_chunks("你想改成多长？")], text="我想改时长")
+        elicit = [e for e in events if e.get("type") == "message" and e["message"]["kind"] == "elicit"]
+        self.assertEqual(len(elicit), 1)
+        self.assertEqual(elicit[0]["message"]["payload"]["fields"][0]["key"], "duration")
+        self.assertEqual(elicit[0]["message"]["payload"]["fields"][0]["type"], "single")
+
+    def test_saying_change_product_injects_asset_card(self):
+        events, _ = self._run([_text_chunks("换成哪个商品？直接选或填名字都行：")], text="我想修改商品")
+        elicit = [e for e in events if e.get("type") == "message" and e["message"]["kind"] == "elicit"]
+        self.assertEqual(len(elicit), 1)
+        self.assertEqual(elicit[0]["message"]["payload"]["fields"][0]["type"], "asset")
+        self.assertEqual(elicit[0]["message"]["payload"]["fields"][0]["asset_types"], ["product"])
+
+    def test_ask_user_emits_elicit_card_and_stops_the_loop(self):
+        events, fake = self._run([
+            _tool_chunks("ask_user", {"fields": [
+                {"key": "tone", "label": "想要什么调性?", "type": "single",
+                 "options": [{"value": "warm", "label": "温暖生活感"}, {"value": "cool", "label": "冷淡高级感"}]},
+            ]}),
+            _text_chunks("不该跑到这一轮"),
+        ])
+
+        elicit = [e for e in events if e.get("type") == "message" and e["message"]["kind"] == "elicit"]
+        self.assertEqual(len(elicit), 1)
+        self.assertEqual(len(elicit[0]["message"]["payload"]["fields"][0]["options"]), 2)
+        # 反问必须中断循环,否则模型会自问自答
+        self.assertEqual(len(fake.calls), 1)
+        self.assertEqual(events[-1]["type"], "done")
+
+    def test_malformed_fields_do_not_stop_the_conversation(self):
+        events, fake = self._run([
+            _tool_chunks("ask_user", {"fields": [{"key": "x", "label": "y", "type": "dropdown"}]}),
+            _text_chunks("那我直接来了"),
+        ])
+        kinds = [e["message"]["kind"] for e in events if e.get("type") == "message"]
+        self.assertNotIn("elicit", kinds)
+        self.assertEqual(len(fake.calls), 2)  # 废卡不算反问,循环继续
+
+
+class GenerateImageTests(CreationAgentBaseTests):
+    def _fake_task(self, key):
+        """真 AITask —— GENERATING 消息要把它挂上 FK,假对象赋不进去。"""
+        return AITask.objects.create(
+            team=self.team, created_by=self.user, task_type=AITask.Type.PRODUCT_IMAGE,
+            model_config=self.model, idempotency_key=key,
+        )
+
+    def setUp(self):
+        super().setUp()
+        self.product = Product.objects.create(team=self.team, created_by=self.user, title="净颜精华")
+        asset = Asset.objects.create(
+            team=self.team, created_by=self.user, name="商品实拍",
+            asset_type=Asset.Type.IMAGE, source=Asset.Source.UPLOAD,
+            category=Asset.Category.PRODUCT_IMAGE,
+        )
+        AssetFile.objects.create(asset=asset, object_key="k", bucket="b", is_primary=True,
+                                 preview_url="https://cdn/prod.jpg")
+        ProductImage.objects.create(product=self.product, asset=asset, is_primary=True)
+        self.product_asset = asset
+
+    def test_generate_image_submits_with_pinned_reference_and_emits_task(self):
+        with patch("apps.ai.services.enqueue_standalone_images") as enqueue:
+            enqueue.return_value = [self._fake_task("k-ref")]
+            events, _ = self._run(
+                [_tool_chunks("generate_image", {"prompt": "干净棚拍,柔光,居中构图"})],
+                refs=[{"type": "product", "id": str(self.product.id), "name": "净颜精华"}],
+            )
+            kwargs = enqueue.call_args.kwargs
+
+        # @ 引用的商品图必须作为参考图带上,否则出的图跟商品长得不一样
+        self.assertEqual(kwargs["reference_image_ids"], [str(self.product_asset.id)])
+        self.assertEqual(kwargs["ratio"], "1:1")  # 会话级参数直接用,不再问用户
+        self.assertEqual(kwargs["count"], 1)
+
+        task_events = [e for e in events if e.get("type") == "task"]
+        self.assertEqual(len(task_events), 1)
+        generating = [e for e in events if e.get("type") == "message" and e["message"]["kind"] == "generating"]
+        self.assertEqual(len(generating), 1)
+
+    def test_session_image_count_overrides_model_count(self):
+        self.conversation.params = {"ratio": "1:1", "count": "2 张"}
+        self.conversation.save(update_fields=["params"])
+        with patch("apps.ai.services.enqueue_standalone_images") as enqueue:
+            enqueue.return_value = [self._fake_task("k-count-1"), self._fake_task("k-count-2")]
+            events, _ = self._run(
+                [_tool_chunks("generate_image", {"prompt": "白底棚拍", "count": 1})],
+            )
+        self.assertEqual(enqueue.call_args.kwargs["count"], 2)
+        generating = [e for e in events if e.get("type") == "message" and e["message"]["kind"] == "generating"]
+        self.assertEqual(len(generating), 2)
+
+    def test_second_generation_in_one_turn_is_blocked(self):
+        with patch("apps.ai.services.enqueue_standalone_images") as enqueue:
+            enqueue.return_value = [self._fake_task("k-twice")]
+            self._run([
+                _tool_chunks("generate_image", {"prompt": "第一版"}),
+                _tool_chunks("generate_image", {"prompt": "第二版"}),
+            ])
+        # 一条用户消息只计费一次:一句「多做几版」不能烧掉一堆积分
+        self.assertEqual(enqueue.call_count, 1)
+
+    def test_prompt_is_remembered_for_the_next_revision(self):
+        with patch("apps.ai.services.enqueue_standalone_images") as enqueue:
+            enqueue.return_value = [self._fake_task("k-memory")]
+            self._run([_tool_chunks("generate_image", {"prompt": "白底棚拍"})])
+        self.conversation.refresh_from_db()
+        # 产物索引:下一轮「背景换夜景」要靠它知道在改哪一版
+        self.assertEqual(self.conversation.memory["artifacts"][-1]["prompt"], "白底棚拍")
+
+    def test_video_conversation_is_not_offered_the_image_tool(self):
+        video = CreationConversation.objects.create(
+            team=self.team, created_by=self.user, mode="video", params={}
+        )
+        fake = FakeProvider([_text_chunks("先聊聊")])
+        with patch("apps.ai.creation_agent.build_provider", return_value=fake):
+            list(stream_creation_agent(conversation=video, user=self.user, text="做条视频",
+                                       model_config=self.model))
+        names = {t["function"]["name"] for t in fake.calls[0]["extra_body"]["tools"]}
+        # 会话 mode 定死,摆出不该用的工具只会诱导模型走错路
+        self.assertNotIn("generate_image", names)
+
+
+class MissingRefAndFailureTests(CreationAgentBaseTests):
+    def test_deleted_ref_is_reported_but_conversation_continues(self):
+        events, fake = self._run(
+            [_text_chunks("好")],
+            refs=[{"type": "product", "id": "00000000-0000-0000-0000-000000000000", "name": "已删商品"}],
+        )
+        texts = [e["message"]["text"] for e in events if e.get("type") == "message"]
+        self.assertTrue(any("已删商品" in t for t in texts))
+        self.assertEqual(len(fake.calls), 1)  # 照常继续,不打断
+
+    def test_provider_blowup_yields_error_event_not_a_hang(self):
+        def explode(**kwargs):
+            raise RuntimeError("provider down")
+
+        fake = FakeProvider([])
+        fake.chat_completion_stream = explode
+        with patch("apps.ai.creation_agent.build_provider", return_value=fake):
+            events = _events(stream_creation_agent(
+                conversation=self.conversation, user=self.user, text="来一张", model_config=self.model,
+            ))
+        # 未捕获异常会让前端白屏卡死,必须收成 error 事件
+        self.assertEqual(events[-1]["type"], "error")
+
+    def test_no_text_model_configured_fails_fast(self):
+        ModelConfig.objects.update(status=ModelConfig.Status.DISABLED)
+        events = _events(stream_creation_agent(
+            conversation=self.conversation, user=self.user, text="来一张", model_config=None,
+        ))
+        self.assertEqual(events[0]["type"], "error")
+
+
+class SseFramingTests(CreationAgentBaseTests):
+    def test_messages_carrying_uuid_and_datetime_are_serializable(self):
+        """GENERATING 消息带 task 外键(UUID)和 created_at(datetime)。
+        用标准 json.dumps 会当场 TypeError 把整条流打断 —— 必须走 DjangoJSONEncoder。"""
+        task = AITask.objects.create(
+            team=self.team, created_by=self.user, task_type=AITask.Type.PRODUCT_IMAGE,
+            model_config=self.model, idempotency_key="k-sse",
+        )
+        with patch("apps.ai.services.enqueue_standalone_images", return_value=[task]):
+            events, _ = self._run([_tool_chunks("generate_image", {"prompt": "白底棚拍"})])
+
+        self.assertNotIn("error", [e.get("type") for e in events])
+        generating = next(e for e in events if e.get("type") == "message"
+                          and e["message"]["kind"] == "generating")
+        self.assertEqual(generating["message"]["task"], str(task.id))
+
+
+class SendEndpointTests(TestCase):
+    def setUp(self):
+        self.user = User.objects.create_user(username="send-owner", password="p")
+        self.team = Team.objects.create(name="Send", owner=self.user)
+        TeamMember.objects.create(team=self.team, user=self.user, role="owner")
+        self.conversation = CreationConversation.objects.create(
+            team=self.team, created_by=self.user, mode="image"
+        )
+        self.client = APIClient()
+        self.client.force_authenticate(self.user)
+
+    def test_empty_message_is_rejected(self):
+        response = self.client.post(f"/api/ai/creations/{self.conversation.id}/send/", {}, format="json")
+        self.assertEqual(response.status_code, 400)
+
+    def test_answering_an_elicit_card_marks_it_submitted(self):
+        card = append_message(
+            self.conversation, role="assistant", kind=CreationMessage.Kind.ELICIT,
+            payload={"fields": [{"key": "tone", "label": "什么调性?", "type": "single",
+                                 "options": [{"value": "warm", "label": "温暖"}]}],
+                     "submitted": False, "answers": {}},
+        )
+        fake = FakeProvider([_text_chunks("收到")])
+        with patch("apps.ai.creation_agent.build_provider", return_value=fake):
+            response = self.client.post(
+                f"/api/ai/creations/{self.conversation.id}/send/",
+                {"kind": "elicit_answer", "reply_to": str(card.id), "answers": {"tone": "warm"}},
+                format="json",
+            )
+            list(response.streaming_content)
+
+        card.refresh_from_db()
+        self.assertTrue(card.payload["submitted"])
+        self.assertEqual(card.payload["answers"], {"tone": "warm"})
+
+    def test_elicit_product_choice_pins_the_product(self):
+        """对话里点选商品只回 answers 时,也必须钉进 pinned_refs,否则出片带不上商品图。"""
+        product = Product.objects.create(team=self.team, created_by=self.user, title="净颜精华")
+        card = append_message(
+            self.conversation, role="assistant", kind=CreationMessage.Kind.ELICIT,
+            payload={"fields": [{"key": "product", "label": "选择商品", "type": "single",
+                                 "options": [{"value": str(product.id), "label": product.title}]}],
+                     "submitted": False, "answers": {}},
+        )
+        fake = FakeProvider([_text_chunks("收到")])
+        with patch("apps.ai.creation_agent.build_provider", return_value=fake):
+            response = self.client.post(
+                f"/api/ai/creations/{self.conversation.id}/send/",
+                {"kind": "elicit_answer", "reply_to": str(card.id),
+                 "answers": {"product": str(product.id)}},
+                format="json",
+            )
+            list(response.streaming_content)
+
+        self.conversation.refresh_from_db()
+        pinned = self.conversation.pinned_refs or []
+        self.assertTrue(
+            any(r.get("type") == "product" and str(r.get("id")) == str(product.id) for r in pinned)
+        )
+
+    def test_elicit_product_choice_by_name_pins_the_product(self):
+        product = Product.objects.create(team=self.team, created_by=self.user, title="控油洁面")
+        card = append_message(
+            self.conversation, role="assistant", kind=CreationMessage.Kind.ELICIT,
+            payload={"fields": [{"key": "product", "label": "选择商品", "type": "single",
+                                 "options": [{"value": product.title, "label": product.title}]}],
+                     "submitted": False, "answers": {}},
+        )
+        fake = FakeProvider([_text_chunks("收到")])
+        with patch("apps.ai.creation_agent.build_provider", return_value=fake):
+            response = self.client.post(
+                f"/api/ai/creations/{self.conversation.id}/send/",
+                {"kind": "elicit_answer", "reply_to": str(card.id),
+                 "answers": {"product": product.title}},
+                format="json",
+            )
+            list(response.streaming_content)
+
+        self.conversation.refresh_from_db()
+        pinned = self.conversation.pinned_refs or []
+        self.assertTrue(
+            any(r.get("type") == "product" and str(r.get("id")) == str(product.id) for r in pinned)
+        )
+
+    def test_answering_the_same_card_twice_is_refused(self):
+        card = append_message(
+            self.conversation, role="assistant", kind=CreationMessage.Kind.ELICIT,
+            payload={"fields": [], "submitted": True, "answers": {"tone": "warm"}},
+        )
+        response = self.client.post(
+            f"/api/ai/creations/{self.conversation.id}/send/",
+            {"kind": "elicit_answer", "reply_to": str(card.id), "answers": {"tone": "cool"}},
+            format="json",
+        )
+        # 重复提交会让同一个问题在上下文里出现两次答案
+        self.assertEqual(response.status_code, 409)
+
+
+class VideoPlanAndConfirmTests(CreationAgentBaseTests):
+    """视频链路:策略卡 → 方案卡 → 确认闸门 → 出片(契约 §0)。"""
+
+    def setUp(self):
+        super().setUp()
+        self.conversation = CreationConversation.objects.create(
+            team=self.team, created_by=self.user, mode="video", title="口播",
+            params={"model": "Seedance 2.5", "ratio": "9:16", "resolution": "720p", "duration": "15 秒"},
+        )
+
+    def _plan_args(self, **overrides):
+        args = {
+            "usp": "核心效果:一整天不泛油光",
+            "points": ["质地轻薄"],
+            "timeline": [{"start": 0, "end": 2.7, "stage": "Hook"}],
+            "matrix": {"shots": 4, "rows": [{"point": "USP", "hits": [1, 3]}]},
+            "voice_chars": [51, 60],
+            "video_prompt": "0-3秒 近景手持商品…",
+        }
+        args.update(overrides)
+        return args
+
+    def test_image_tool_is_hidden_and_video_tools_offered(self):
+        fake = FakeProvider([_text_chunks("先聊聊")])
+        with patch("apps.ai.creation_agent.build_provider", return_value=fake):
+            list(stream_creation_agent(conversation=self.conversation, user=self.user,
+                                       text="做条视频", model_config=self.model))
+        names = {t["function"]["name"] for t in fake.calls[0]["extra_body"]["tools"]}
+        self.assertIn("write_strategy", names)
+        self.assertIn("write_plan", names)
+        self.assertNotIn("generate_image", names)
+
+    def test_strategy_card_does_not_stop_the_loop(self):
+        fake = FakeProvider([
+            _tool_chunks("write_strategy", {"target": "油皮通勤人群", "trust": "真实使用反馈",
+                                            "belief": "值得一试", "direction": "达人 UGC 口播"}),
+            _text_chunks("方案我这就写"),
+        ])
+        with patch("apps.ai.creation_agent.build_provider", return_value=fake):
+            events = _events(stream_creation_agent(conversation=self.conversation, user=self.user,
+                                                   text="做条视频", model_config=self.model))
+        strategy = [e for e in events if e.get("type") == "message" and e["message"]["kind"] == "strategy"]
+        self.assertEqual(strategy[0]["message"]["payload"]["target"], "油皮通勤人群")
+        # 策略卡只是「我理解对了吗」,不该停下来
+        self.assertEqual(len(fake.calls), 2)
+
+    def test_plan_emits_three_cards_and_stops_for_confirmation(self):
+        fake = FakeProvider([
+            _tool_chunks("write_plan", self._plan_args()),
+            _text_chunks("不该跑到这一轮"),
+        ])
+        with patch("apps.ai.creation_agent.build_provider", return_value=fake):
+            events = _events(stream_creation_agent(conversation=self.conversation, user=self.user,
+                                                   text="做条视频", model_config=self.model))
+        kinds = [e["message"]["kind"] for e in events if e.get("type") == "message"]
+        self.assertEqual(kinds[-3:], ["plan", "prompt_file", "confirm"])
+        self.assertTrue(any(e.get("type") == "credits" for e in events))
+        # 「仅需确认一次」—— 必须停下等人点,不能自己往下烧钱出片
+        self.assertEqual(len(fake.calls), 1)
+
+    def test_plan_without_video_prompt_is_rejected_without_emitting_cards(self):
+        fake = FakeProvider([
+            _tool_chunks("write_plan", self._plan_args(video_prompt="")),
+            _text_chunks("我重写一版"),
+        ])
+        with patch("apps.ai.creation_agent.build_provider", return_value=fake):
+            events = _events(stream_creation_agent(conversation=self.conversation, user=self.user,
+                                                   text="做条视频", model_config=self.model))
+        kinds = [e["message"]["kind"] for e in events if e.get("type") == "message"]
+        self.assertNotIn("confirm", kinds)  # 没有出片指令的方案不能放行
+        self.assertEqual(len(fake.calls), 2)
+
+    def test_confirm_submits_video_with_prompt_and_session_params(self):
+        card = append_message(
+            self.conversation, role="assistant", kind=CreationMessage.Kind.CONFIRM,
+            payload={"video_prompt": "0-3秒 近景手持商品…", "submitted": False, "estimated_credits": 120},
+        )
+        task = AITask.objects.create(
+            team=self.team, created_by=self.user, task_type=AITask.Type.FREE_VIDEO,
+            model_config=self.model, idempotency_key="k-video",
+        )
+        with patch("apps.ai.free_video.submit_free_video", return_value=task) as submit:
+            message, error = submit_confirmed_video(
+                conversation=self.conversation, user=self.user, confirm_message=card
+            )
+            params = submit.call_args.kwargs["params"]
+
+        self.assertEqual(error, "")
+        self.assertEqual(message.kind, CreationMessage.Kind.GENERATING)
+        self.assertEqual(params["prompt"], "0-3秒 近景手持商品…")
+        # 顶栏参数直接用,label 要翻成火山真名
+        self.assertEqual(params["model"], "doubao-seedance-2-5-260628")
+        self.assertEqual(params["duration"], 15)
+        self.assertEqual(params["aspect_ratio"], "9:16")
+        self.assertTrue(params["generate_audio"])
+
+    def test_confirm_without_stored_prompt_reports_instead_of_submitting(self):
+        card = append_message(
+            self.conversation, role="assistant", kind=CreationMessage.Kind.CONFIRM,
+            payload={"submitted": False},
+        )
+        with patch("apps.ai.free_video.submit_free_video") as submit:
+            message, error = submit_confirmed_video(
+                conversation=self.conversation, user=self.user, confirm_message=card
+            )
+        self.assertIsNone(message)
+        self.assertIn("出片指令", error)
+        submit.assert_not_called()
+
+
+class VideoParamParsingTests(TestCase):
+    def test_duration_label_and_smart_fallback(self):
+        self.assertEqual(video_duration({"duration": "15 秒"}), 15)
+        self.assertEqual(video_duration({"duration": "智能时长"}), SMART_DURATION)
+        self.assertEqual(video_duration({}), SMART_DURATION)
+        # 火山单次最长 30 秒,超了要夹住而不是让 submit 报错
+        self.assertEqual(video_duration({"duration": "99 秒"}), 30)
+
+    def test_model_label_maps_to_volcano_name(self):
+        self.assertEqual(video_model_name({"model": "Seedance 2.0 Fast"}), "doubao-seedance-2-0-fast-260128")
+        self.assertEqual(video_model_name({"model": "没见过的模型"}), DEFAULT_VIDEO_MODEL)
+
+
+class ConfirmEndpointTests(TestCase):
+    def setUp(self):
+        self.user = User.objects.create_user(username="confirm-owner", password="p")
+        self.team = Team.objects.create(name="Confirm", owner=self.user)
+        TeamMember.objects.create(team=self.team, user=self.user, role="owner")
+        self.conversation = CreationConversation.objects.create(
+            team=self.team, created_by=self.user, mode="video", params={}
+        )
+        self.card = append_message(
+            self.conversation, role="assistant", kind=CreationMessage.Kind.CONFIRM,
+            payload={"video_prompt": "出片指令", "submitted": False},
+        )
+        self.client = APIClient()
+        self.client.force_authenticate(self.user)
+
+    def _post(self):
+        return self.client.post(
+            f"/api/ai/creations/{self.conversation.id}/send/",
+            {"kind": "confirm", "reply_to": str(self.card.id)}, format="json",
+        )
+
+    def test_confirm_twice_is_refused(self):
+        provider = ModelProvider.objects.create(name="fk2", display_name="F", base_url="https://x")
+        model = ModelConfig.objects.create(
+            provider=provider, name="fk-video", display_name="V",
+            capability=ModelConfig.Capability.VIDEO,
+        )
+        task = AITask.objects.create(
+            team=self.team, created_by=self.user, task_type=AITask.Type.FREE_VIDEO,
+            model_config=model, idempotency_key="k-confirm",
+        )
+        with patch("apps.ai.free_video.submit_free_video", return_value=task):
+            self.assertEqual(self._post().status_code, 201)
+            # 连点两下会出两条片、扣两次积分
+            self.assertEqual(self._post().status_code, 409)
+
+    def test_failed_submit_reopens_the_gate(self):
+        with patch("apps.ai.free_video.submit_free_video", side_effect=ValueError("积分不足")):
+            response = self._post()
+        self.card.refresh_from_db()
+        self.assertEqual(response.status_code, 400)
+        # 出片没提交成功,闸门要放回去让用户改完再确认
+        self.assertFalse(self.card.payload["submitted"])
+
+
+class MemoryCompressionTests(CreationAgentBaseTests):
+    """长会话记忆压缩(契约 §5)。"""
+
+    def _fill(self, count):
+        for i in range(count):
+            append_message(self.conversation, role="user" if i % 2 == 0 else "assistant", text=f"第{i}句")
+
+    def test_short_conversation_is_not_compressed(self):
+        self._fill(6)
+        fake = FakeProvider([_text_chunks("好")])
+        with patch("apps.ai.creation_agent.build_provider", return_value=fake):
+            list(stream_creation_agent(conversation=self.conversation, user=self.user,
+                                       text="继续", model_config=self.model))
+        self.conversation.refresh_from_db()
+        self.assertNotIn("summary", self.conversation.memory)
+        self.assertEqual(len(fake.calls), 1)  # 没有多花一次压缩调用
+
+    def test_long_conversation_compresses_and_feeds_summary_into_system_prompt(self):
+        self._fill(30)
+        fake = FakeProvider([_text_chunks("这是摘要正文"), _text_chunks("好")])
+        with patch("apps.ai.creation_agent.build_provider", return_value=fake):
+            list(stream_creation_agent(conversation=self.conversation, user=self.user,
+                                       text="继续", model_config=self.model))
+        self.conversation.refresh_from_db()
+        self.assertEqual(self.conversation.memory["summary"], "这是摘要正文")
+        # 第二次调用才是真正的对话,system 里要带上刚压出来的摘要
+        system = fake.calls[1]["messages"][0]["content"]
+        self.assertIn("前情提要", system)
+        self.assertIn("这是摘要正文", system)
+        # 且只喂最近 KEEP_RECENT_MESSAGES 条原文,不是全量
+        self.assertLessEqual(len(fake.calls[1]["messages"]), KEEP_RECENT_MESSAGES + 2)
+
+    def test_next_turn_does_not_pay_for_another_compression(self):
+        self._fill(30)
+        fake = FakeProvider([_text_chunks("摘要"), _text_chunks("好"), _text_chunks("好")])
+        with patch("apps.ai.creation_agent.build_provider", return_value=fake):
+            list(stream_creation_agent(conversation=self.conversation, user=self.user,
+                                       text="一", model_config=self.model))
+            calls_after_first = len(fake.calls)
+            list(stream_creation_agent(conversation=self.conversation, user=self.user,
+                                       text="二", model_config=self.model))
+        # 第二轮只多了 1 次(对话本身)。不设最小批量的话每轮都要重压,长会话成本翻倍。
+        self.assertEqual(len(fake.calls) - calls_after_first, 1)
+
+    def test_compression_resumes_once_enough_new_messages_pile_up(self):
+        self._fill(30)
+        fake = FakeProvider([_text_chunks("摘要一")] + [_text_chunks("好") for _ in range(20)])
+        with patch("apps.ai.creation_agent.build_provider", return_value=fake):
+            list(stream_creation_agent(conversation=self.conversation, user=self.user,
+                                       text="一", model_config=self.model))
+            self.conversation.refresh_from_db()
+            first_upto = self.conversation.memory["summarized_upto"]
+            self._fill(COMPRESS_MIN_BATCH * 2)
+            list(stream_creation_agent(conversation=self.conversation, user=self.user,
+                                       text="二", model_config=self.model))
+        self.conversation.refresh_from_db()
+        # 攒够一批之后要接着压,否则早期内容永远进不了摘要
+        self.assertGreater(self.conversation.memory["summarized_upto"], first_upto)
+
+    def test_compression_failure_does_not_break_the_conversation(self):
+        self._fill(30)
+
+        class Flaky(FakeProvider):
+            def chat_completion_stream(self, **kwargs):
+                if len(self.calls) == 0:
+                    self.calls.append(kwargs)
+                    raise RuntimeError("summary model down")
+                return super().chat_completion_stream(**kwargs)
+
+        fake = Flaky([_text_chunks("照常回复")])
+        with patch("apps.ai.creation_agent.build_provider", return_value=fake):
+            events = _events(stream_creation_agent(conversation=self.conversation, user=self.user,
+                                                   text="继续", model_config=self.model))
+        # 摘要是锦上添花,压缩挂了不该把整条对话打断
+        self.assertEqual(events[-1]["type"], "done")
+        self.conversation.refresh_from_db()
+        self.assertNotIn("summary", self.conversation.memory)
+
+
+class PresetGuidanceTests(CreationAgentBaseTests):
+    """预设不只是个名字,要把拍法约束一起给模型(契约 §6)。"""
+
+    def test_preset_guidance_reaches_the_system_prompt(self):
+        conversation = CreationConversation.objects.create(
+            team=self.team, created_by=self.user, mode="video", preset="鱼眼换装", params={},
+        )
+        fake = FakeProvider([_text_chunks("好")])
+        with patch("apps.ai.creation_agent.build_provider", return_value=fake):
+            list(stream_creation_agent(conversation=conversation, user=self.user,
+                                       text="开始", model_config=self.model))
+        system = fake.calls[0]["messages"][0]["content"]
+        self.assertIn("鱼眼换装", system)
+        # 光有名字模型只能靠猜,拍法约束必须一起给
+        self.assertIn("人物面部和身形必须全程一致", system)
+
+    def test_unknown_preset_degrades_to_name_only(self):
+        conversation = CreationConversation.objects.create(
+            team=self.team, created_by=self.user, mode="video", preset="前端新加的卡", params={},
+        )
+        fake = FakeProvider([_text_chunks("好")])
+        with patch("apps.ai.creation_agent.build_provider", return_value=fake):
+            list(stream_creation_agent(conversation=conversation, user=self.user,
+                                       text="开始", model_config=self.model))
+        system = fake.calls[0]["messages"][0]["content"]
+        # 前端加了新卡但后端还没写拍法时,退回「只有名字」而不是报错
+        self.assertIn("前端新加的卡", system)
+
+    def test_every_frontend_preset_has_guidance(self):
+        """前端 8 个视频 + 6 个图片预设都要有拍法,漏一个就等于那张卡是摆设。"""
+        from .creation_presets import IMAGE_PRESETS, VIDEO_PRESETS
+
+        self.assertEqual(len(VIDEO_PRESETS), 8)
+        self.assertEqual(len(IMAGE_PRESETS), 6)
+        self.assertTrue(all(text.strip() for text in {**VIDEO_PRESETS, **IMAGE_PRESETS}.values()))

core/backend/apps/ai/test_creation_conversation.py

@@ -0,0 +1,238 @@
+"""全能创作 · 会话与消息底座(契约 §1/§3)。"""
+from django.test import TestCase
+from rest_framework.test import APIClient
+
+from apps.accounts.models import Team, TeamMember, User
+
+from apps.assets.models import Asset, AssetFile
+
+from .creation import append_message, finish_generating_message, pin_refs, sync_generating_messages
+from .models import AITask, CreationConversation, CreationMessage, ModelConfig, ModelProvider
+
+
+class CreationMessageServiceTests(TestCase):
+    def setUp(self):
+        self.user = User.objects.create_user(username="omni-svc", password="p")
+        self.team = Team.objects.create(name="Omni SVC", owner=self.user)
+        self.conversation = CreationConversation.objects.create(
+            team=self.team, created_by=self.user, title="净颜精华口播", mode="video"
+        )
+
+    def test_seq_is_monotonic_per_conversation(self):
+        first = append_message(self.conversation, role="user", text="做一条口播")
+        second = append_message(self.conversation, role="assistant", text="好的")
+        other = CreationConversation.objects.create(team=self.team, created_by=self.user, mode="image")
+        other_first = append_message(other, role="user", text="来张主图")
+
+        self.assertEqual([first.seq, second.seq], [1, 2])
+        # seq 是会话内自增,不是全局 —— 换一条会话要从 1 重新开始
+        self.assertEqual(other_first.seq, 1)
+
+    def test_append_refreshes_last_active_at(self):
+        before = self.conversation.last_active_at
+        append_message(self.conversation, role="user", text="改一下背景")
+        self.conversation.refresh_from_db()
+        self.assertGreater(self.conversation.last_active_at, before)
+
+    def test_generating_message_is_replaced_in_place_not_appended(self):
+        placeholder = append_message(
+            self.conversation,
+            role="assistant",
+            kind=CreationMessage.Kind.GENERATING,
+            payload={"task_id": "t-1", "kind": "video"},
+        )
+        finish_generating_message(
+            placeholder,
+            assets=[{"id": "a-1", "url": "https://x/v.mp4", "cover": "https://x/c.jpg", "type": "video"}],
+            meta={"model": "Seedance 2.5", "resolution": "1080p", "ratio": "9:16"},
+        )
+        placeholder.refresh_from_db()
+        self.conversation.refresh_from_db()
+
+        self.assertEqual(placeholder.kind, CreationMessage.Kind.RESULT)
+        self.assertEqual(placeholder.payload["assets"][0]["id"], "a-1")
+        self.assertEqual(placeholder.payload["task_id"], "t-1")  # 原 payload 不能被覆盖掉
+        self.assertEqual(self.conversation.messages.count(), 1)  # 中间态不刷屏
+        self.assertEqual(self.conversation.status, CreationConversation.Status.COMPLETED)
+
+    def test_pin_refs_dedupes_and_keeps_first_seen_order(self):
+        pin_refs(self.conversation, [
+            {"type": "product", "id": "p1", "name": "净颜精华"},
+            {"type": "character", "id": "c1", "name": "白领女性"},
+        ])
+        pin_refs(self.conversation, [
+            {"type": "product", "id": "p1", "name": "净颜精华"},  # 重复,不入
+            {"type": "scene", "id": "s1", "name": "居家早餐台"},
+            {"type": "scene"},  # 缺 id,丢弃
+        ])
+        self.conversation.refresh_from_db()
+
+        self.assertEqual(
+            [(r["type"], r["id"]) for r in self.conversation.pinned_refs],
+            [("product", "p1"), ("character", "c1"), ("scene", "s1")],
+        )
+
+
+class GenerationBackfillTests(TestCase):
+    """出图在 worker 里跑完后,GENERATING 必须被回填,否则对话会一直转圈。"""
+
+    def setUp(self):
+        self.user = User.objects.create_user(username="omni-backfill", password="p")
+        self.team = Team.objects.create(name="Omni Backfill", owner=self.user)
+        TeamMember.objects.create(team=self.team, user=self.user, role="owner")
+        provider = ModelProvider.objects.create(name="img", display_name="Img")
+        self.model = ModelConfig.objects.create(
+            provider=provider, name="gpt-image-2", display_name="YQ image2",
+            capability=ModelConfig.Capability.IMAGE,
+        )
+        self.conversation = CreationConversation.objects.create(
+            team=self.team, created_by=self.user, title="回填", mode="image"
+        )
+        self.client = APIClient()
+        self.client.force_authenticate(self.user)
+
+    def _task(self, status, key="k-backfill"):
+        return AITask.objects.create(
+            team=self.team, created_by=self.user, task_type=AITask.Type.PRODUCT_IMAGE,
+            model_config=self.model, status=status, idempotency_key=key,
+            error_message="额度不足" if status == AITask.Status.FAILED else "",
+        )
+
+    def _asset(self, task, url="https://cdn.example/done.png"):
+        asset = Asset.objects.create(
+            team=self.team, created_by=self.user, name="成图",
+            asset_type=Asset.Type.IMAGE, source=Asset.Source.AI_GENERATED,
+            category=Asset.Category.PRODUCT_IMAGE, origin_task=task,
+        )
+        AssetFile.objects.create(
+            asset=asset, object_key="k", bucket="b", is_primary=True, preview_url=url,
+        )
+        return asset
+
+    def test_succeeded_task_turns_generating_into_result(self):
+        task = self._task(AITask.Status.SUCCEEDED)
+        self._asset(task)
+        message = append_message(
+            self.conversation, role="assistant", kind=CreationMessage.Kind.GENERATING,
+            payload={"task_id": str(task.id), "kind": "image", "prompt": "白底"},
+            task=task,
+        )
+
+        self.assertEqual(sync_generating_messages(self.conversation), 1)
+        message.refresh_from_db()
+        self.conversation.refresh_from_db()
+        self.assertEqual(message.kind, CreationMessage.Kind.RESULT)
+        self.assertEqual(message.payload["assets"][0]["url"], "https://cdn.example/done.png")
+        self.assertEqual(message.payload["task_id"], str(task.id))
+        self.assertEqual(self.conversation.status, CreationConversation.Status.COMPLETED)
+
+    def test_failed_task_turns_generating_into_error(self):
+        task = self._task(AITask.Status.FAILED, key="k-fail")
+        message = append_message(
+            self.conversation, role="assistant", kind=CreationMessage.Kind.GENERATING,
+            payload={"task_id": str(task.id), "kind": "image"},
+            task=task,
+        )
+
+        self.assertEqual(sync_generating_messages(self.conversation), 1)
+        message.refresh_from_db()
+        self.assertEqual(message.kind, CreationMessage.Kind.ERROR)
+        self.assertIn("额度不足", message.text)
+
+    def test_running_task_stays_generating(self):
+        task = self._task(AITask.Status.RESERVED, key="k-run")
+        message = append_message(
+            self.conversation, role="assistant", kind=CreationMessage.Kind.GENERATING,
+            payload={"task_id": str(task.id), "kind": "image"},
+            task=task,
+        )
+
+        self.assertEqual(sync_generating_messages(self.conversation), 0)
+        message.refresh_from_db()
+        self.assertEqual(message.kind, CreationMessage.Kind.GENERATING)
+
+    def test_retrieve_backfills_before_returning_messages(self):
+        task = self._task(AITask.Status.SUCCEEDED, key="k-api")
+        self._asset(task, url="https://cdn.example/api.png")
+        append_message(
+            self.conversation, role="assistant", kind=CreationMessage.Kind.GENERATING,
+            payload={"task_id": str(task.id), "kind": "image"},
+            task=task,
+        )
+
+        detail = self.client.get(f"/api/ai/creations/{self.conversation.id}/")
+        self.assertEqual(detail.status_code, 200)
+        self.assertEqual(detail.data["messages"][0]["kind"], "result")
+        self.assertEqual(detail.data["messages"][0]["payload"]["assets"][0]["url"], "https://cdn.example/api.png")
+
+
+class CreationConversationAPITests(TestCase):
+    def setUp(self):
+        self.user = User.objects.create_user(username="omni-api", password="p")
+        self.team = Team.objects.create(name="Omni API", owner=self.user)
+        TeamMember.objects.create(team=self.team, user=self.user, role="owner")
+        self.client = APIClient()
+        self.client.force_authenticate(self.user)
+
+    def test_create_list_and_rename(self):
+        created = self.client.post(
+            "/api/ai/creations/",
+            {"title": "净颜精华口播", "mode": "video", "preset": "达人口播种草",
+             "params": {"model": "Seedance 2.5", "ratio": "9:16", "resolution": "1080p", "duration": "智能时长"}},
+            format="json",
+        )
+        self.assertEqual(created.status_code, 201, created.data)
+        conv_id = created.data["id"]
+
+        listed = self.client.get("/api/ai/creations/?mode=video")
+        self.assertEqual(listed.status_code, 200)
+        self.assertEqual(len(listed.data["results"] if "results" in listed.data else listed.data), 1)
+
+        renamed = self.client.patch(f"/api/ai/creations/{conv_id}/", {"title": "改个名", "mode": "image"}, format="json")
+        self.assertEqual(renamed.status_code, 200)
+        self.assertEqual(renamed.data["title"], "改个名")
+        # mode 定死:传了也不生效,否则顶栏参数会和已生成内容对不上
+        self.assertEqual(renamed.data["mode"], "video")
+
+    def test_retrieve_returns_full_thread_and_cover_is_latest_result(self):
+        conversation = CreationConversation.objects.create(
+            team=self.team, created_by=self.user, title="叠加测试", mode="image"
+        )
+        append_message(conversation, role="user", text="来一张")
+        append_message(conversation, role="assistant", kind=CreationMessage.Kind.RESULT,
+                       payload={"assets": [{"id": "a1", "url": "u1", "cover": "c1"}]})
+        append_message(conversation, role="user", text="背景换夜景")
+        append_message(conversation, role="assistant", kind=CreationMessage.Kind.RESULT,
+                       payload={"assets": [{"id": "a2", "url": "u2", "cover": "c2"}]})
+
+        detail = self.client.get(f"/api/ai/creations/{conversation.id}/")
+        self.assertEqual(detail.status_code, 200)
+        self.assertEqual(len(detail.data["messages"]), 4)
+        # 重生成往下叠加,旧的留着;封面取最新一版
+        self.assertEqual(detail.data["cover_url"], "c2")
+
+    def test_messages_endpoint_supports_incremental_pull(self):
+        conversation = CreationConversation.objects.create(team=self.team, created_by=self.user, mode="video")
+        append_message(conversation, role="user", text="一")
+        append_message(conversation, role="assistant", text="二")
+
+        incremental = self.client.get(f"/api/ai/creations/{conversation.id}/messages/?after_seq=1")
+        self.assertEqual(incremental.status_code, 200)
+        self.assertEqual([m["text"] for m in incremental.data], ["二"])
+
+    def test_other_team_cannot_read_conversation(self):
+        conversation = CreationConversation.objects.create(team=self.team, created_by=self.user, mode="video")
+        stranger = User.objects.create_user(username="omni-stranger", password="p")
+        other_team = Team.objects.create(name="Other", owner=stranger)
+        TeamMember.objects.create(team=other_team, user=stranger, role="owner")
+        other_client = APIClient()
+        other_client.force_authenticate(stranger)
+
+        self.assertEqual(other_client.get(f"/api/ai/creations/{conversation.id}/").status_code, 404)
+
+    def test_destroy_is_soft_delete(self):
+        conversation = CreationConversation.objects.create(team=self.team, created_by=self.user, mode="video")
+        self.assertEqual(self.client.delete(f"/api/ai/creations/{conversation.id}/").status_code, 204)
+        conversation.refresh_from_db()
+        self.assertTrue(conversation.is_deleted)
+        self.assertEqual(self.client.get(f"/api/ai/creations/{conversation.id}/").status_code, 404)

core/backend/apps/ai/test_creation_mentions.py

@@ -0,0 +1,179 @@
+"""全能创作 · @引用检索与 Ref 解析(契约 §1/§3)。"""
+from unittest.mock import patch
+
+from django.test import TestCase
+from rest_framework.test import APIClient
+
+from apps.accounts.models import Team, TeamMember, User
+from apps.assets.models import Asset, AssetFile, Model
+from apps.products.models import Product, ProductImage, ProductSellingPoint
+
+from .mentions import product_facts_text, resolve_refs, search_mentions
+
+
+def _image_asset(team, user, name, category, *, source=Asset.Source.UPLOAD, url="", **kwargs):
+    asset = Asset.objects.create(
+        team=team, created_by=user, name=name, asset_type=Asset.Type.IMAGE,
+        source=source, category=category, **kwargs,
+    )
+    AssetFile.objects.create(
+        asset=asset, object_key=f"k/{name}", bucket="b", is_primary=True,
+        preview_url=url or f"https://cdn/{name}.jpg",
+    )
+    return asset
+
+
+class MentionSearchTests(TestCase):
+    def setUp(self):
+        self.user = User.objects.create_user(username="mention-owner", password="p")
+        self.team = Team.objects.create(name="Mention", owner=self.user)
+        self.product = Product.objects.create(team=self.team, created_by=self.user, title="净颜精华")
+        self.person = _image_asset(self.team, self.user, "白领女性", Asset.Category.PERSON)
+        self.scene = _image_asset(self.team, self.user, "居家早餐台", Asset.Category.SCENE)
+
+    def test_search_filters_by_keyword_and_type(self):
+        Product.objects.create(team=self.team, created_by=self.user, title="控油洁面")
+
+        hits = search_mentions(self.team, q="净颜", types=["product"])
+        self.assertEqual([h["name"] for h in hits], ["净颜精华"])
+        self.assertEqual(hits[0]["type"], "product")
+
+    def test_search_returns_all_types_when_unspecified(self):
+        found = {(h["type"], h["name"]) for h in search_mentions(self.team, q="")}
+        self.assertIn(("product", "净颜精华"), found)
+        self.assertIn(("character", "白领女性"), found)
+        self.assertIn(("scene", "居家早餐台"), found)
+
+    def test_asset_type_only_lists_items_added_to_library(self):
+        _image_asset(self.team, self.user, "工作台试验图", Asset.Category.FREE_CREATE, in_library=False)
+        _image_asset(self.team, self.user, "入库图", Asset.Category.FREE_CREATE)
+        names = [h["name"] for h in search_mentions(self.team, types=["asset"])]
+        self.assertNotIn("工作台试验图", names)  # 工作台的试验图不该冒进 @ 菜单
+        self.assertIn("入库图", names)
+
+    def test_asset_group_does_not_duplicate_entries_with_their_own_group(self):
+        found = [(h["type"], h["name"]) for h in search_mentions(self.team)]
+        # 定妆照只该出现在「角色」里;再在「资产库」列一遍,菜单里看着像两个素材
+        self.assertEqual(found.count(("character", "白领女性")), 1)
+        self.assertNotIn(("asset", "白领女性"), found)
+        self.assertNotIn(("asset", "居家早餐台"), found)
+
+    def test_other_team_entities_are_invisible(self):
+        stranger = User.objects.create_user(username="mention-stranger", password="p")
+        other_team = Team.objects.create(name="Other", owner=stranger)
+        Product.objects.create(team=other_team, created_by=stranger, title="别家的商品")
+
+        names = [h["name"] for h in search_mentions(self.team)]
+        self.assertNotIn("别家的商品", names)
+
+
+class ResolveRefsTests(TestCase):
+    def setUp(self):
+        self.user = User.objects.create_user(username="resolve-owner", password="p")
+        self.team = Team.objects.create(name="Resolve", owner=self.user)
+        self.product = Product.objects.create(
+            team=self.team, created_by=self.user, title="净颜精华", brand="影擎",
+            category="护肤", description="早晚各一次", specs={"容量": "30ml"},
+        )
+        ProductSellingPoint.objects.create(product=self.product, title="控油", detail="12 小时不脱妆")
+        product_asset = _image_asset(
+            self.team, self.user, "商品实拍", Asset.Category.PRODUCT_IMAGE, url="https://cdn/prod.jpg"
+        )
+        ProductImage.objects.create(product=self.product, asset=product_asset, is_primary=True)
+        self.person = _image_asset(
+            self.team, self.user, "白领女性", Asset.Category.PERSON,
+            url="https://cdn/person.jpg", review_status="active", review_remote_id="R-1",
+        )
+        self.scene = _image_asset(
+            self.team, self.user, "居家早餐台", Asset.Category.SCENE, url="https://cdn/scene.jpg"
+        )
+
+    def test_product_ref_yields_selling_points_and_reference_image(self):
+        resolved = resolve_refs(self.team, [{"type": "product", "id": str(self.product.id)}])
+
+        self.assertIn("控油", resolved.facts_text)
+        self.assertIn("12 小时不脱妆", resolved.facts_text)
+        self.assertIn("30ml", resolved.facts_text)
+        self.assertEqual([r["url"] for r in resolved.references], ["https://cdn/prod.jpg"])
+
+    def test_reference_order_is_character_then_scene_then_product(self):
+        resolved = resolve_refs(self.team, [
+            {"type": "product", "id": str(self.product.id)},
+            {"type": "scene", "id": str(self.scene.id)},
+            {"type": "character", "id": str(self.person.id)},
+        ])
+        # 顺序是 @图N 的语义依据:角色 → 场景 → 商品,不能跟着用户 @ 的先后走
+        self.assertEqual([r["type"] for r in resolved.references], ["character", "scene", "product"])
+
+    def test_character_ref_carries_review_status_for_asset_scheme_swap(self):
+        resolved = resolve_refs(self.team, [{"type": "character", "id": str(self.person.id)}])
+        entry = resolved.references[0]
+        # 视频路要靠这两个字段把真人图换成火山 asset:// 引用,否则会被判「疑似真人」拒
+        self.assertEqual(entry["review_status"], "active")
+        self.assertEqual(entry["review_remote_id"], "R-1")
+
+    def test_model_ref_prefers_triview_over_portrait(self):
+        portrait = _image_asset(self.team, self.user, "形象图", Asset.Category.MODEL_PORTRAIT, url="https://cdn/p.jpg")
+        triview = _image_asset(self.team, self.user, "三视图", Asset.Category.TRI_VIEW, url="https://cdn/t.jpg")
+        model = Model.objects.create(
+            team=self.team, created_by=self.user, name="小夏",
+            portrait_asset=portrait, triview_asset=triview,
+        )
+
+        resolved = resolve_refs(self.team, [{"type": "model", "id": str(model.id)}])
+        # 三视图信息量最大,锁脸优先用它
+        self.assertEqual(resolved.references[0]["url"], "https://cdn/t.jpg")
+
+    def test_model_falls_back_to_portrait_when_no_triview(self):
+        portrait = _image_asset(self.team, self.user, "形象图2", Asset.Category.MODEL_PORTRAIT, url="https://cdn/p2.jpg")
+        model = Model.objects.create(team=self.team, created_by=self.user, name="阿岚", portrait_asset=portrait)
+
+        resolved = resolve_refs(self.team, [{"type": "model", "id": str(model.id)}])
+        self.assertEqual(resolved.references[0]["url"], "https://cdn/p2.jpg")
+
+    def test_deleted_or_foreign_refs_go_to_missing_and_never_raise(self):
+        stranger = User.objects.create_user(username="resolve-stranger", password="p")
+        other_team = Team.objects.create(name="Other", owner=stranger)
+        foreign = Product.objects.create(team=other_team, created_by=stranger, title="别家的")
+
+        resolved = resolve_refs(self.team, [
+            {"type": "product", "id": str(foreign.id)},
+            {"type": "character", "id": "00000000-0000-0000-0000-000000000000"},
+            {"type": "product", "id": str(self.product.id)},
+        ])
+        # 素材被删/跨团队不该炸掉整条对话,交给 agent 在对话里说明
+        self.assertEqual(len(resolved.missing), 2)
+        self.assertEqual(len(resolved.references), 1)
+
+    def test_same_image_referenced_twice_is_deduped(self):
+        resolved = resolve_refs(self.team, [
+            {"type": "character", "id": str(self.person.id)},
+            {"type": "asset", "id": str(self.person.id)},
+        ])
+        # 编号错位会让 @图N 指错,必须去重
+        self.assertEqual(len(resolved.references), 1)
+
+    def test_product_facts_text_without_selling_points_still_has_title(self):
+        bare = Product.objects.create(team=self.team, created_by=self.user, title="裸商品")
+        self.assertIn("裸商品", product_facts_text(bare))
+
+
+class MentionAPITests(TestCase):
+    def setUp(self):
+        self.user = User.objects.create_user(username="mention-api", password="p")
+        self.team = Team.objects.create(name="Mention API", owner=self.user)
+        TeamMember.objects.create(team=self.team, user=self.user, role="owner")
+        Product.objects.create(team=self.team, created_by=self.user, title="净颜精华")
+        self.client = APIClient()
+        self.client.force_authenticate(self.user)
+
+    def test_endpoint_returns_refs_with_group_labels(self):
+        response = self.client.get("/api/ai/mentions/?q=净颜&types=product")
+        self.assertEqual(response.status_code, 200)
+        self.assertEqual(response.data["results"][0]["name"], "净颜精华")
+        self.assertEqual(response.data["type_labels"]["product"], "商品库")
+
+    def test_unknown_type_is_rejected(self):
+        response = self.client.get("/api/ai/mentions/?types=product,ghost")
+        self.assertEqual(response.status_code, 400)
+        self.assertIn("ghost", response.data["detail"])

core/backend/apps/ai/urls.py

@@ -3,6 +3,7 @@ from rest_framework.routers import DefaultRouter
 
 from .views import (
     AITaskViewSet,
+    CreationConversationViewSet,
     VideoDigestDetailView,
     VideoDigestView,
     FreeVideoDetailView,
@@ -15,6 +16,7 @@ from .views import (
     FreeVideoView,
     GenerateImageView,
     ImageConversationViewSet,
+    MentionSearchView,
     ModelConfigViewSet,
     VideoReplacePollView,
     VideoReplaceView,
@@ -24,8 +26,10 @@ router = DefaultRouter()
 router.register("tasks", AITaskViewSet, basename="ai-task")
 router.register("models", ModelConfigViewSet, basename="model-config")
 router.register("image-conversations", ImageConversationViewSet, basename="image-conversation")
+router.register("creations", CreationConversationViewSet, basename="creation-conversation")
 
 urlpatterns = [
+    path("mentions/", MentionSearchView.as_view(), name="ai-mentions"),
     path("generate-image/", GenerateImageView.as_view(), name="ai-generate-image"),
     path("video-digest/", VideoDigestView.as_view(), name="ai-video-digest"),
     path("video-digest/<uuid:task_id>/", VideoDigestDetailView.as_view(), name="ai-video-digest-detail"),

core/backend/apps/ai/views.py

@@ -2,6 +2,7 @@ import logging
 import uuid
 
 from django.db import transaction
+from django.http import JsonResponse, StreamingHttpResponse
 from django.db.models import Count, Exists, OuterRef, Q
 from django.utils import timezone
 from rest_framework import status
@@ -14,14 +15,20 @@ from rest_framework.viewsets import ModelViewSet, ReadOnlyModelViewSet
 
 from apps.assets.models import Asset
 from apps.assets.serializers import AssetFileSerializer, AssetSerializer
-from apps.common.api import TeamScopedViewSetMixin, get_current_team
+from apps.common.api import ServerSentEventRenderer, TeamScopedViewSetMixin, get_current_team
 from apps.common.celery_health import require_worker, require_worker_task
 from apps.products.models import Product
 
 from .generation_errors import classify_generation_error, public_error_for_task
-from .models import AITask, ImageConversation, ModelConfig
+from .creation import append_message, sync_generating_messages
+from .creation_agent import apply_session_params, stream_creation_agent, submit_confirmed_video
+from .mentions import TYPE_LABELS, VALID_TYPES, refs_from_elicit_answers, search_mentions
+from .models import AITask, CreationConversation, CreationMessage, ImageConversation, ModelConfig
 from .serializers import (
     AITaskSerializer,
+    CreationConversationDetailSerializer,
+    CreationConversationSerializer,
+    CreationMessageSerializer,
     ImageConversationSerializer,
     ImageConversationTrashSerializer,
     ModelConfigSerializer,
@@ -1244,3 +1251,218 @@ class ModelConfigViewSet(ReadOnlyModelViewSet):
     search_fields = ["name", "display_name", "capability"]
     ordering_fields = ["created_at", "display_name"]
 
+
+
+class CreationConversationViewSet(TeamScopedViewSetMixin, ModelViewSet):
+    """全能创作会话 CRUD(契约 §3)。
+
+    list        创作历史页,按 ?status=running|completed 过滤,-last_active_at 倒序
+    retrieve    进对话页,一次性带回全部消息
+    create      从首页「开始创作」发起,带 mode/preset/params;首条用户消息由 messages 接口发
+    partial_update  只允许改 title(重命名)
+    destroy     软删(不连带删已生成的资产 —— 图还在资产库里)
+
+    发消息走 POST {id}/messages/(SSE),不在这里。
+    """
+
+    serializer_class = CreationConversationSerializer
+    queryset = CreationConversation.objects.order_by("-last_active_at")
+
+    def get_serializer_class(self):
+        if self.action == "retrieve":
+            return CreationConversationDetailSerializer
+        return super().get_serializer_class()
+
+    def get_queryset(self):
+        queryset = super().get_queryset().filter(is_deleted=False, purged_at__isnull=True)
+        if self.action == "retrieve":
+            queryset = queryset.prefetch_related("messages")
+        else:
+            queryset = queryset.annotate(_message_count=Count("messages"))
+        mode = self.request.query_params.get("mode", "").strip()
+        if mode:
+            if mode not in CreationConversation.Mode.values:
+                raise ValidationError({"detail": "mode 仅支持 video / image"})
+            queryset = queryset.filter(mode=mode)
+        conv_status = self.request.query_params.get("status", "").strip()
+        if conv_status:
+            if conv_status not in CreationConversation.Status.values:
+                raise ValidationError({"detail": "status 仅支持 running / completed / failed"})
+            queryset = queryset.filter(status=conv_status)
+        return queryset
+
+    def perform_destroy(self, instance):
+        # 只软删会话本身。已生成的图/视频留在资产库 —— 用户删对话不等于要删素材。
+        instance.is_deleted = True
+        instance.save(update_fields=["is_deleted", "updated_at"])
+
+    def _synced_conversation(self):
+        """拉会话前先把已结束的 GENERATING 回填成 RESULT/ERROR。
+
+        出图在 worker 里跑,agent 只提交。前端轮询 GET 本接口拿结果。
+        prefetch 缓存里是回填前的旧对象,改过必须丢掉再读。
+        """
+        conversation = self.get_object()
+        if sync_generating_messages(conversation):
+            conversation.refresh_from_db()
+            cache = getattr(conversation, "_prefetched_objects_cache", None)
+            if cache is not None:
+                cache.pop("messages", None)
+        return conversation
+
+    def retrieve(self, request, *args, **kwargs):
+        conversation = self._synced_conversation()
+        serializer = self.get_serializer(conversation)
+        return Response(serializer.data)
+
+    @action(detail=True, methods=["get"], url_path="messages")
+    def messages(self, request, pk=None):
+        """按 ?after_seq= 增量拉消息。轮询视频结果时前端只补新的,不重拉整条会话。"""
+        conversation = self._synced_conversation()
+        queryset = conversation.messages.all()
+        after_seq = request.query_params.get("after_seq", "").strip()
+        if after_seq:
+            try:
+                queryset = queryset.filter(seq__gt=int(after_seq))
+            except (TypeError, ValueError) as exc:
+                raise ValidationError({"detail": "after_seq 必须是整数"}) from exc
+        return Response(CreationMessageSerializer(queryset, many=True).data)
+
+    @action(
+        detail=True, methods=["post"], url_path="send",
+        renderer_classes=[ServerSentEventRenderer],
+    )
+    def send(self, request, pk=None):
+        """发一条消息 → SSE 流(契约 §3)。
+
+        kind=text          普通发言,text + refs
+        kind=elicit_answer 回答追问卡,reply_to + answers
+        kind=confirm       点确认闸门 → **不跑模型**,直接按方案卡存的 video_prompt 出片
+
+        响应 text/event-stream。**必须挂 ServerSentEventRenderer,否则 DRF 内容协商直接 406。**
+        """
+        conversation = self.get_object()
+        # 模型/比例/分辨率/时长在新建会话时锁定,发送和确认出片都按当时那套,
+        # 否则 5 秒方案被改成 10 秒再出片会对不上。
+        kind = str(request.data.get("kind") or "text")
+        text = str(request.data.get("text") or "").strip()
+        refs = request.data.get("refs") or []
+        if not isinstance(refs, list):
+            return JsonResponse({"detail": "refs 必须是数组"}, status=400)
+
+        if kind == "confirm":
+            reply_to = str(request.data.get("reply_to") or "").strip()
+            card = conversation.messages.filter(
+                id=reply_to, kind=CreationMessage.Kind.CONFIRM
+            ).first() if reply_to else None
+            if card is None:
+                return JsonResponse({"detail": "确认卡不存在"}, status=404)
+            if (card.payload or {}).get("submitted"):
+                # 确认闸门是一次性的:连点两下会出两条片、扣两次积分
+                return JsonResponse({"detail": "这条方案已经确认过了"}, status=409)
+            card.payload = {**(card.payload or {}), "submitted": True}
+            card.save(update_fields=["payload", "updated_at"])
+            message, error = submit_confirmed_video(
+                conversation=conversation, user=request.user, confirm_message=card
+            )
+            if error:
+                # 出片没提交成功 → 把闸门放回去,用户可以改完再确认
+                card.payload = {**(card.payload or {}), "submitted": False}
+                card.save(update_fields=["payload", "updated_at"])
+                failure = append_message(
+                    conversation, role="assistant",
+                    kind=CreationMessage.Kind.ERROR, text=error,
+                )
+                return JsonResponse(
+                    {"detail": error, "message": CreationMessageSerializer(failure).data}, status=400
+                )
+            # 纯 Django 响应:这个 action 只挂了 SSE renderer,走 DRF Response 会渲染失败
+            return JsonResponse(
+                {"message": CreationMessageSerializer(message).data}, status=201
+            )
+
+        if kind == "elicit_answer":
+            reply_to = str(request.data.get("reply_to") or "").strip()
+            answers = request.data.get("answers")
+            if not reply_to or not isinstance(answers, dict):
+                return JsonResponse({"detail": "回答追问需要 reply_to 与 answers"}, status=400)
+            card = conversation.messages.filter(
+                id=reply_to, kind=CreationMessage.Kind.ELICIT
+            ).first()
+            if card is None:
+                return JsonResponse({"detail": "追问卡不存在"}, status=404)
+            if (card.payload or {}).get("submitted"):
+                # 追问卡是一次性的:重复提交会让同一个问题在上下文里出现两次答案
+                return JsonResponse({"detail": "这个问题已经回答过了"}, status=409)
+            payload = dict(card.payload or {})
+            payload["answers"] = answers
+            payload["submitted"] = True
+            card.payload = payload
+            card.save(update_fields=["payload", "updated_at"])
+            labels = {f["key"]: f["label"] for f in payload.get("fields", [])}
+            text = "；".join(
+                f"{labels.get(k, k)}：{'、'.join(v) if isinstance(v, list) else v}"
+                for k, v in answers.items()
+            )
+            if apply_session_params(conversation, payload.get("fields") or [], answers):
+                text = f"{text}。请按新的会话参数重新写方案，旧方案作废"
+            # 点选商品/角色必须钉成 Ref:模型常把选项做成单选文字,前端只回 answers。
+            refs = list(refs)
+            existing = {(item.get("type"), str(item.get("id"))) for item in refs if isinstance(item, dict)}
+            for extra in refs_from_elicit_answers(conversation.team, payload.get("fields") or [], answers):
+                mark = (extra.get("type"), str(extra.get("id")))
+                if mark in existing:
+                    continue
+                refs.append(extra)
+                existing.add(mark)
+        elif not text and not refs:
+            return JsonResponse({"detail": "消息不能为空"}, status=400)
+
+        model_config = None
+        requested = request.data.get("model_config_id")
+        if requested:
+            model_config = (
+                ModelConfig.objects.select_related("provider")
+                .filter(id=requested, capability=ModelConfig.Capability.TEXT, status=ModelConfig.Status.ACTIVE)
+                .first()
+            )
+
+        stream = stream_creation_agent(
+            conversation=conversation,
+            user=request.user,
+            text=text,
+            refs=refs,
+            model_config=model_config,
+        )
+        response = StreamingHttpResponse(stream, content_type="text/event-stream")
+        response["Cache-Control"] = "no-cache"
+        response["X-Accel-Buffering"] = "no"  # 关 nginx 缓冲,保证逐帧下发
+        return response
+
+
+class MentionSearchView(APIView):
+    """@ 引用检索(契约 §3)。
+
+    GET /api/ai/mentions/?q=净颜&types=product,character&limit=8
+
+    返回 [Ref] —— 前端把它按 type 分组渲染成 @ 菜单(设计稿 .omni-mention-group)。
+    **前端拿到后必须整条 Ref 存进消息的 refs 字段**,不能只把 name 拼进文本,
+    否则后端取不到卖点和参考图(契约 §1)。
+    """
+
+    def get(self, request):
+        team = get_current_team(request.user)
+        q = str(request.query_params.get("q") or "").strip()
+        raw_types = str(request.query_params.get("types") or "").strip()
+        types = [t.strip() for t in raw_types.split(",") if t.strip()] if raw_types else None
+        if types:
+            unknown = [t for t in types if t not in VALID_TYPES]
+            if unknown:
+                raise ValidationError({"detail": f"未知引用类型:{'、'.join(unknown)}"})
+        try:
+            limit = int(request.query_params.get("limit") or 8)
+        except (TypeError, ValueError) as exc:
+            raise ValidationError({"detail": "limit 必须是整数"}) from exc
+        limit = max(1, min(limit, 20))
+        results = search_mentions(team, q=q, types=types, limit=limit)
+        return Response({"results": results, "type_labels": TYPE_LABELS})

core/backend/apps/common/api.py

@@ -1,4 +1,5 @@
 from rest_framework.exceptions import PermissionDenied
+from rest_framework.renderers import BaseRenderer
 
 
 def get_current_team(user):
@@ -27,3 +28,15 @@ class TeamScopedViewSetMixin:
     def perform_create(self, serializer):
         serializer.save(team=self.get_team(), created_by=self.request.user)
 
+
+
+class ServerSentEventRenderer(BaseRenderer):
+    """让 DRF 内容协商接受 Accept: text/event-stream(否则流式端点直接 406)。
+    实际响应由视图返回 StreamingHttpResponse 直接下发,这个 renderer 只用于通过协商。"""
+
+    media_type = "text/event-stream"
+    format = "event-stream"
+    charset = None
+
+    def render(self, data, accepted_media_type=None, renderer_context=None):
+        return data

core/backend/apps/projects/test_quick_create.py

@@ -1358,3 +1358,7 @@ class QuickCreateCoordinatorTests(TestCase):
 
 
 
+
+
+
+

core/backend/apps/projects/views.py

@@ -11,7 +11,6 @@ from rest_framework import status
 from rest_framework.decorators import action
 from rest_framework.exceptions import APIException, ValidationError
 from rest_framework.parsers import FormParser, MultiPartParser
-from rest_framework.renderers import BaseRenderer
 from rest_framework.response import Response
 from rest_framework.viewsets import ModelViewSet
 
@@ -42,7 +41,7 @@ from apps.ai.services import (
 from apps.assets.models import Asset, AssetFile
 from apps.assets.serializers import AssetFileSerializer
 from apps.assets.storage import TosStorage
-from apps.common.api import TeamScopedViewSetMixin
+from apps.common.api import ServerSentEventRenderer, TeamScopedViewSetMixin
 from apps.common.celery_health import require_worker, require_worker_task
 from apps.ai.generation_errors import classify_generation_error, public_error_for_task
 from apps.ai.video_digest import VideoDigestError, digest_project_video
@@ -94,18 +93,6 @@ class QuickCreateInProgress(APIException):
     default_code = "quick_create_running"
 
 
-class ServerSentEventRenderer(BaseRenderer):
-    """让 DRF 内容协商接受 Accept: text/event-stream(否则流式端点直接 406)。
-    实际响应由视图返回 StreamingHttpResponse 直接下发,这个 renderer 只用于通过协商。"""
-
-    media_type = "text/event-stream"
-    format = "event-stream"
-    charset = None
-
-    def render(self, data, accepted_media_type=None, renderer_context=None):
-        return data
-
-
 def _store_uploaded_asset(*, team, user, upload, asset_type: str, category: str, name: str) -> Asset:
     """把上传的文件落到 TOS,建 Asset+AssetFile(主文件)。供上传视频段 / 上传 BGM 复用。"""
     fallback_suffix = {

core/frontend/src/App.tsx

@@ -31,6 +31,9 @@ import {
   Dashboard,
   FreeCreatePage,
   QuickCreatePage,
+  OmniCreatePage,
+  OmniHistoryPage,
+  OmniSessionPage,
   VideoRemixPage,
   VideoReplacePage,
   ImageWorkbenchPage,
@@ -544,7 +547,8 @@ export function App() {
     if (options.projectId !== undefined) setActiveProjectId(options.projectId);
     const hash = options.hash?.replace(/^#/, "");
     const currentPath = `${window.location.pathname}${window.location.hash}`;
-    const path = `${pathForPage(next, { productId, projectId })}${hash ? `#${hash}` : ""}`;
+    const conversationId = options.conversationId ?? route.conversationId;
+    const path = `${pathForPage(next, { productId, projectId, conversationId })}${hash ? `#${hash}` : ""}`;
     const prevState = readNavState(window.history.state);
     const leaving: NavHistoryState = {
       airshelf: 1,
@@ -555,7 +559,10 @@ export function App() {
     if (!options.replace) {
       window.history.replaceState(leaving, "", currentPath);
     }
-    setRoute({ page: next, authMode, productId, projectId, hash, tab: options.tab });
+    setRoute({
+      page: next, authMode, productId, projectId, conversationId, hash,
+      tab: options.tab, firstMessage: options.firstMessage, firstRefs: options.firstRefs,
+    });
     const arriving: NavHistoryState = {
       airshelf: 1,
       scrollY: 0,
@@ -1065,6 +1072,22 @@ export function App() {
             navigate={navigate}
           />
         );
+      case "omniCreate":
+        return <OmniCreatePage navigate={navigate} onNotify={(type, text) => setNotice({ type, text })} />;
+      case "omniHistory":
+        return <OmniHistoryPage navigate={navigate} onNotify={(type, text) => setNotice({ type, text })} />;
+      case "omniSession":
+        return route.conversationId ? (
+          <OmniSessionPage
+            conversationId={route.conversationId}
+            firstMessage={route.firstMessage}
+            firstRefs={route.firstRefs}
+            navigate={navigate}
+            onNotify={(type, text) => setNotice({ type, text })}
+          />
+        ) : (
+          <OmniHistoryPage navigate={navigate} onNotify={(type, text) => setNotice({ type, text })} />
+        );
       case "assetFactory":
         return <AssetFactoryPage navigate={navigate} />;
       case "freeCreate":
@@ -1252,13 +1275,19 @@ export function App() {
     <div className="app">
       <Sidebar page={page} navigate={navigate} user={currentUser} team={currentTeam} canManageBilling={isOwner} products={products} projects={projects} productTotal={productTotal} projectTotal={projectTotal} aiUnread={aiUnread} onOpenAdmin={() => navigateAdmin("")} accountOpen={accountAnchor !== null} onOpenAccount={(rect) => setAccountAnchor((prev) => (prev ? null : rect))} />
       <header className="topbar">
+        {page === "omniSession" ? (
+          <div id="omni-session-topbar-slot" className="omni-session-topbar-slot" />
+        ) : (
           <ModeTabs active={topModule} navigate={navigate} />
+        )}
         <div className="right">
+          {page !== "omniSession" && (
           <button className="top-search" type="button" onClick={() => openCommandPalette()} aria-label="搜索">
             <IconKitSvg name="search" />
             <span>搜索</span>
             <span className="kbd">{searchKbd}</span>
           </button>
+          )}
           <span className="balance-chip" onClick={() => navigate("account")}>
             <IconKitSvg name="creditCard" />
             余额 <strong>{money(billing?.account.balance)}</strong>

core/frontend/src/api.ts

@@ -29,6 +29,10 @@ import type {
   ImageConversation,
   ImageConversationTrash,
   ImageConversationTask,
+  CreationConversation,
+  CreationConversationDetail,
+  CreationMessage,
+  CreationRef,
   ModelConfig,
   ModelEntity,
   Notification,
@@ -530,6 +534,129 @@ export const api = {
       }
     }
   },
+  // ── 全能创作(契约见仓库根 `全能创作-契约-2026-09-02.md`)
+
+  /** @ 检索:输入框打 @ 或用户说了名字时用。返回的整条 Ref 要原样带进 send 的 refs。 */
+  searchMentions(params: { q?: string; types?: CreationRef["type"][]; limit?: number } = {}) {
+    const query = new URLSearchParams();
+    if (params.q) query.set("q", params.q);
+    if (params.types?.length) query.set("types", params.types.join(","));
+    if (params.limit) query.set("limit", String(params.limit));
+    const suffix = query.toString();
+    return request<{ results: CreationRef[]; type_labels: Record<string, string> }>(
+      `/api/ai/mentions/${suffix ? `?${suffix}` : ""}`
+    );
+  },
+  listCreations(params: { mode?: "video" | "image"; status?: string } = {}) {
+    const query = new URLSearchParams();
+    if (params.mode) query.set("mode", params.mode);
+    if (params.status) query.set("status", params.status);
+    const suffix = query.toString();
+    return request<Paginated<CreationConversation>>(`/api/ai/creations/${suffix ? `?${suffix}` : ""}`);
+  },
+  createCreation(payload: {
+    title?: string;
+    mode: "video" | "image";
+    preset?: string;
+    params?: Record<string, string>;
+  }) {
+    return request<CreationConversation>("/api/ai/creations/", {
+      method: "POST",
+      body: JSON.stringify(payload)
+    });
+  },
+  getCreation(id: string) {
+    return request<CreationConversationDetail>(`/api/ai/creations/${id}/`);
+  },
+  renameCreation(id: string, title: string) {
+    return request<CreationConversation>(`/api/ai/creations/${id}/`, {
+      method: "PATCH",
+      body: JSON.stringify({ title })
+    });
+  },
+  updateCreation(id: string, payload: { title?: string; params?: Record<string, string> }) {
+    return request<CreationConversation>(`/api/ai/creations/${id}/`, {
+      method: "PATCH",
+      body: JSON.stringify(payload)
+    });
+  },
+  deleteCreation(id: string) {
+    return request<void>(`/api/ai/creations/${id}/`, { method: "DELETE" });
+  },
+  /** 增量拉消息:轮询生成结果时只补 after_seq 之后的,不重拉整条会话。 */
+  creationMessages(id: string, afterSeq?: number) {
+    const suffix = afterSeq === undefined ? "" : `?after_seq=${afterSeq}`;
+    return request<CreationMessage[]>(`/api/ai/creations/${id}/messages/${suffix}`);
+  },
+  /**
+   * 点确认闸门 → 直接出片。**这个不是 SSE**:后端不跑模型,按方案卡存好的
+   * video_prompt 直接提交,同步返回「生成中」消息,之后靠轮询转成结果。
+   */
+  confirmCreationPlan(id: string, replyTo: string, params?: Record<string, string>) {
+    return request<{ message: CreationMessage }>(`/api/ai/creations/${id}/send/`, {
+      method: "POST",
+      body: JSON.stringify({ kind: "confirm", reply_to: replyTo, params })
+    });
+  },
+  /**
+   * 发一条消息 → SSE 流。事件:tool / reasoning / delta / message / task / credits / done / error。
+   * 和 agentScriptStream 同一套 fetch + ReadableStream(EventSource 只支持 GET,这里要 POST 带 body)。
+   */
+  async creationSendStream(
+    id: string,
+    payload: {
+      kind?: "text" | "elicit_answer";
+      text?: string;
+      refs?: CreationRef[];
+      reply_to?: string;
+      answers?: Record<string, string | string[]>;
+      model_config_id?: string;
+      params?: Record<string, string>;
+    },
+    onEvent: (evt: { type: string; [k: string]: unknown }) => void,
+    signal?: AbortSignal
+  ): Promise<void> {
+    const token = getToken();
+    const headers = new Headers({ "Content-Type": "application/json", Accept: "text/event-stream" });
+    if (token) headers.set("Authorization", `Token ${token}`);
+    const response = await fetch(`${API_BASE}/api/ai/creations/${id}/send/`, {
+      method: "POST",
+      headers,
+      body: JSON.stringify(payload),
+      signal
+    });
+    if (!response.ok || !response.body) {
+      const text = await response.text().catch(() => "");
+      let message = text || "发送失败";
+      try {
+        const data = JSON.parse(text) as Record<string, unknown>;
+        if (typeof data.detail === "string") message = data.detail;
+      } catch {
+        /* 非 JSON 错误体,用原文 */
+      }
+      throw new ApiError(response.status, message);
+    }
+    const reader = response.body.getReader();
+    const decoder = new TextDecoder("utf-8");
+    let buffer = "";
+    for (;;) {
+      const { done, value } = await reader.read();
+      if (done) break;
+      buffer += decoder.decode(value, { stream: true });
+      let sep: number;
+      while ((sep = buffer.indexOf("\n\n")) !== -1) {
+        const frame = buffer.slice(0, sep);
+        buffer = buffer.slice(sep + 2);
+        const dataLine = frame.split("\n").find((l) => l.startsWith("data:"));
+        if (!dataLine) continue;
+        try {
+          onEvent(JSON.parse(dataLine.slice(5).trim()));
+        } catch {
+          /* 跳过解析失败的帧 */
+        }
+      }
+    }
+  },
   adoptScript(projectId: string, script_version_id: string) {
     return request<ScriptVersion>(`/api/projects/${projectId}/adopt-script/`, {
       method: "POST",

core/frontend/src/components/app-shell.tsx

@@ -12,9 +12,11 @@ const SIDEBAR_COLLAPSED_KEY = "airshelf:sidebar-collapsed";
 type Command = { id: string; group: string; label: string; sub: string; page: Page; icon: string; key?: string };
 const SHELL_COMMANDS: Command[] = [
   { id: "dashboard", group: "导航", label: "工作台", sub: "任务队列、今日消耗、项目进度", page: "dashboard", icon: "dashboard", key: "D" },
+  { id: "omni-create", group: "导航", label: "全能创作", sub: "预设工作流 + 对话式 Agent", page: "omniCreate", icon: "sparkles", key: "O" },
+  { id: "omni-history", group: "导航", label: "创作历史", sub: "查看与继续独立会话", page: "omniHistory", icon: "history", key: "H" },
   { id: "products", group: "导航", label: "商品库", sub: "管理 SKU、商品图册、卖点信息", page: "products", icon: "package", key: "P" },
   { id: "projects", group: "导航", label: "视频创作", sub: "从商品或参考视频出发，选择生产方式", page: "projects", icon: "clapperboard", key: "V" },
-  { id: "asset-factory", group: "导航", label: "图片生成", sub: "模特上身图、平台套图、图片创作", page: "assetFactory", icon: "sparkles", key: "I" },
+  { id: "asset-factory", group: "导航", label: "图片生成", sub: "模特上身图、平台套图、自由创作", page: "assetFactory", icon: "sparkles", key: "I" },
   { id: "free-create", group: "导航", label: "自由创作", sub: "AI 视频生成 · 全能参考 / 首尾帧", page: "freeCreate", icon: "film", key: "F" },
   { id: "quick-create", group: "导航", label: "一键成片", sub: "上传商品图片，自动完成整条视频", page: "quickCreate", icon: "wand", key: "Q" },
   { id: "video-remix", group: "导航", label: "提炼提示词", sub: "上传参考视频，提炼可编辑提示词", page: "videoRemix", icon: "scan", key: "R" },
@@ -29,7 +31,7 @@ const SHELL_COMMANDS: Command[] = [
   { id: "quick-create-action", group: "常用动作", label: "一键成片", sub: "输入商品名称并上传图片，自动生成视频", page: "quickCreate", icon: "wand" },
   { id: "model-photo", group: "常用动作", label: "生成模特上身图", sub: "快速生成 3:4 商品展示素材", page: "modelPhoto", icon: "users" },
   { id: "platform-cover", group: "常用动作", label: "生成平台套图", sub: "适配电商平台封面与详情图", page: "platformCover", icon: "images" },
-  { id: "image-optimize", group: "常用动作", label: "图片创作", sub: "对话式生成、编辑", page: "imageOptimize", icon: "images" }
+  { id: "image-optimize", group: "常用动作", label: "自由创作", sub: "对话式生成、编辑", page: "imageOptimize", icon: "images" }
 ];
 
 function CommandPalette({ open, onClose, navigate, canManageBilling = true }: { open: boolean; onClose: () => void; navigate: Navigate; canManageBilling?: boolean }) {
@@ -256,7 +258,7 @@ function LiquidIcon({ name }: { name: "boxes" | "users-round" | "settings" }) {
   return <Settings size={20} strokeWidth={1.9} />;
 }
 
-export type TopModule = "workbench" | "image" | "video";
+export type TopModule = "workbench" | "omni" | "image" | "video";
 const OPEN_PALETTE_EVENT = "airshelf:open-palette";
 
 export function openCommandPalette() {
@@ -265,6 +267,7 @@ export function openCommandPalette() {
 
 export function topModuleForPage(page: Page): TopModule | null {
   if (page === "dashboard") return "workbench";
+  if (page === "omniCreate" || page === "omniHistory" || page === "omniSession") return "omni";
   if (
     page === "assetFactory"
     || page === "imageOptimize"
@@ -279,6 +282,7 @@ export function topModuleForPage(page: Page): TopModule | null {
 
 const MODE_TABS: { id: TopModule; label: string; page: Page }[] = [
   { id: "workbench", label: "工作台", page: "dashboard" },
+  { id: "omni", label: "全能创作", page: "omniCreate" },
   { id: "image", label: "图片创作", page: "assetFactory" },
   { id: "video", label: "视频创作", page: "projects" },
 ];
@@ -364,6 +368,7 @@ export function ModeTabs({ active, navigate }: { active: TopModule | null; navig
             <rect rx="22" ry="22" x="0" y="0" width="104" height="44" />
             <rect rx="22" ry="22" x="120" y="0" width="110" height="44" />
             <rect rx="22" ry="22" x="246" y="0" width="110" height="44" />
+            <rect rx="22" ry="22" x="372" y="0" width="110" height="44" />
           </clipPath>
         </defs>
       </svg>
@@ -411,7 +416,9 @@ const PAGE_TO_NAV: Partial<Record<Page, Page>> = {
   account: "account",
   trash: "trash",
   settings: "settings",
-  settingsNotify: "settings"
+  settingsNotify: "settings",
+  omniCreate: "omniCreate",
+  omniHistory: "omniHistory"
 };
 
 export function Sidebar({ page, navigate, user, team, canManageBilling = true, products, projects, productTotal, projectTotal, aiUnread, onOpenAdmin, onOpenAccount, accountOpen = false }: {

core/frontend/src/design-restraint.css

@@ -90,6 +90,12 @@
   --klein-hover: #002680;
   --heat:    var(--klein);
   --heat-hover: var(--klein-hover);
+
+  /* 影擎设计稿(omni-* 页面)沿用的两个前景名。设计稿里是 --black:#101012 / --text:#17181a,
+     与上面的 --accent-black 是同一个近黑 —— 这里做别名而不是新造色值(design.md §8)。
+     缺了它们,omni 页面的 background:var(--black) 会解析失败变透明(白字白底看不见)。 */
+  --black: var(--accent-black);
+  --text:  var(--accent-black);
   --heat-90: rgba(0, 47, 167, .90);
   --heat-40: rgba(0, 47, 167, .40);
   --heat-20: rgba(0, 47, 167, .20);
@@ -792,40 +798,12 @@ body.sidebar-collapsed .user::after { display: none; }
   z-index: 0;
   pointer-events: none;
   background-image:
-    linear-gradient(rgba(0, 47, 167, 0.16) 1px, transparent 1px),
+    linear-gradient(rgba(24, 31, 42, 0.032) 1px, transparent 1px),
-    linear-gradient(90deg, rgba(0, 47, 167, 0.16) 1px, transparent 1px);
+    linear-gradient(90deg, rgba(24, 31, 42, 0.032) 1px, transparent 1px);
   background-size: 48px 48px;
   background-position: -1px -1px;
-  -webkit-mask-image: linear-gradient(
+  -webkit-mask-image: linear-gradient(90deg, #000 0%, rgba(0, 0, 0, 0.78) 17%, transparent 40%, transparent 60%, rgba(0, 0, 0, 0.78) 83%, #000 100%);
-    90deg,
+  mask-image: linear-gradient(90deg, #000 0%, rgba(0, 0, 0, 0.78) 17%, transparent 40%, transparent 60%, rgba(0, 0, 0, 0.78) 83%, #000 100%);
-    #000 0%,
-    rgba(0, 0, 0, 0.58) 2%,
-    rgba(0, 0, 0, 0.3) 16%,
-    rgba(0, 0, 0, 0.12) 30%,
-    rgba(0, 0, 0, 0.03) 40%,
-    transparent 46%,
-    transparent 54%,
-    rgba(0, 0, 0, 0.03) 60%,
-    rgba(0, 0, 0, 0.12) 70%,
-    rgba(0, 0, 0, 0.3) 84%,
-    rgba(0, 0, 0, 0.58) 98%,
-    #000 100%
-  );
-  mask-image: linear-gradient(
-    90deg,
-    #000 0%,
-    rgba(0, 0, 0, 0.58) 2%,
-    rgba(0, 0, 0, 0.3) 16%,
-    rgba(0, 0, 0, 0.12) 30%,
-    rgba(0, 0, 0, 0.03) 40%,
-    transparent 46%,
-    transparent 54%,
-    rgba(0, 0, 0, 0.03) 60%,
-    rgba(0, 0, 0, 0.12) 70%,
-    rgba(0, 0, 0, 0.3) 84%,
-    rgba(0, 0, 0, 0.58) 98%,
-    #000 100%
-  );
 }
 .scatter {
   position: absolute;
@@ -2298,6 +2276,7 @@ table.t tbody tr:hover { background: var(--black-alpha-4); }
 /* ─── Toast ─── */
 .toast {
   position: fixed; bottom: 24px; right: 24px;
+  max-width: min(360px, calc(100vw - 32px));
   background: var(--surface);
   border: 1px solid var(--border-faint);
   border-radius: var(--r-md);
@@ -2319,7 +2298,7 @@ table.t tbody tr:hover { background: var(--black-alpha-4); }
   flex-shrink: 0;
 }
 .toast .ic-t svg { width: 13px; height: 13px; }
-.toast .txt { font-size: 13px; color: var(--accent-black); font-weight: 500; }
+.toast .txt { font-size: 13px; color: var(--accent-black); font-weight: 500; overflow-wrap: anywhere; }
 .toast .txt .mono {
   font-family: var(--font-mono); font-size: 12px;
   color: var(--black-alpha-48); display: block; margin-top: 2px;

core/frontend/src/main.tsx

@@ -20,5 +20,7 @@ import "./product-create-page.css";
 import "./project-wizard-page.css";
 import "./quick-create-page.css";
 import "./admin-page.css";
+import "./omni-create-page.css";
+import "./omni-session-page.css";
 
 createRoot(document.getElementById("root")!).render(<App />);

core/frontend/src/model-display.ts

@@ -2,8 +2,9 @@ import type { ModelConfig } from "./types";
 
 /** 普通用户界面的临时品牌映射。后续接入模型自动反馈/配置化前，只在此处维护。 */
 const PUBLIC_MODEL_NAME: Record<string, string> = {
-  "gpt-image": "AirShelf Image",
+  volcano: "Seedream-5.0-pro",
-  "gpt-image-2": "AirShelf Image",
+  "gpt-image": "影擎-Image2",
+  "gpt-image-2": "影擎-Image2",
   "gemini-3.1-pro-preview": "AirShelf Script"
 };
 
@@ -12,7 +13,7 @@ export function publicModelRouteName(routeKey: string, fallback = routeKey) {
 }
 
 export const imageModelPickerOptions = [
-  { id: "volcano", label: publicModelRouteName("volcano", "火山 Seedream") },
+  { id: "volcano", label: publicModelRouteName("volcano", "Seedream-5.0-pro") },
   { id: "gpt-image", label: publicModelRouteName("gpt-image") }
 ];
 

core/frontend/src/routes/ai-tools.tsx

@@ -42,12 +42,12 @@ import { productMockCoverUrl } from "./products";
 import { isLocalLife } from "../product-business";
 import "../ai-tools-page.css";
 
-// 工作台生成模式 → 中文标签(优先用它给任务卡命名:能区分模特上身图/平台套图/图片创作,
+// 工作台生成模式 → 中文标签(优先用它给任务卡命名:能区分模特上身图/平台套图/自由创作,
 // 而 task_type 区分不了——cover 与 image 都是 product_image)
 const MODE_LABEL: Record<string, string> = {
   model: "模特上身图",
   cover: "平台套图",
-  image: "图片创作"
+  image: "自由创作"
 };
 const MODE_TAG: Record<string, string> = {
   model: "模特上身",
@@ -142,19 +142,19 @@ export function AssetFactoryPage({ navigate }: { navigate: (page: Page) => void
       page: "modelPhoto" as Page,
       title: "模特上身",
       desc: "上传商品和模特参考图，生成自然统一的服装、饰品上身效果。",
-      image: "/assets/yz/tool-model.jpg",
+      image: "/assets/prototype/photo-1524504388940-b1c1722653e1.jpg",
     },
     {
       page: "platformCover" as Page,
       title: "平台套图",
       desc: "基于商品主图一次生成主图、卖点图、细节图与场景图。",
-      image: "/assets/yz/tool-cover.jpg",
+      image: "/assets/prototype/unbranded-running-shoe-remix.png",
     },
     {
       page: "imageOptimize" as Page,
-      title: "图片创作",
+      title: "自由创作",
       desc: "使用提示词、参考图和画布比例自由生成或修改视觉素材。",
-      image: "/assets/yz/tool-studio.jpg",
+      image: "/assets/prototype/photo-1557682250-33bd709cbe85.jpg",
     }
   ];
 
@@ -441,7 +441,7 @@ const MODE_META: Record<
   }
 > = {
   image: {
-    title: "图片创作",
+    title: "自由创作",
     tag: "[ IMAGE · STUDIO ]",
     desc: "使用提示词与参考图，自由生成或修改电商视觉素材",
     ratio: "1:1",

core/frontend/src/routes/index.ts

@@ -15,3 +15,5 @@ export { QuickCreatePage } from "./quick-create";
 export { VideoRemixPage } from "./video-remix";
 export { VideoReplacePage } from "./video-replace";
 export { SettingsPage } from "./settings";
+export { OmniCreatePage, OmniHistoryPage } from "./omni-create";
+export { OmniSessionPage } from "./omni-session";

core/frontend/src/routes/omni-create.tsx

@@ -0,0 +1,766 @@
+import { useEffect, useMemo, useRef, useState } from "react";
+import {
+  ArrowLeft,
+  Box,
+  ChevronDown,
+  ChevronRight,
+  FolderOpen,
+  History,
+  Image as ImageIcon,
+  Play,
+  Plus,
+  SlidersHorizontal,
+  Sparkles,
+  Trash2,
+  Upload,
+  UserRound,
+  Users,
+  Video,
+  WandSparkles,
+  X,
+} from "lucide-react";
+import { api } from "../api";
+import { CustomSelect } from "../components/custom-select";
+import { ConfirmModal } from "../components/overlays";
+import type { CreationConversation, CreationRef } from "../types";
+import type { NavigateFn } from "./route-config";
+
+type OutputMode = "video" | "image";
+
+type PresetItem = {
+  name: string;
+  category: string;
+  mode: OutputMode;
+  title: string;
+  desc: string;
+  starter: string;
+  cover: string;
+};
+
+type Attachment = { name: string; type: string; url?: string; source: "local" | "library" };
+
+const VIDEO_PRESETS: PresetItem[] = [
+  { name: "剧情反转带货", category: "story", mode: "video", title: "剧情反转带货", desc: "用人物冲突与意外反转建立记忆点，商品承担剧情中的关键作用。", starter: "创作一条有前后反转的剧情带货视频，让商品自然成为解决问题的关键。", cover: "/assets/prototype/photo-1529139574466-a303027c1d8b.jpg" },
+  { name: "商品拟人广告", category: "commerce", mode: "video", title: "商品拟人广告", desc: "让商品成为故事主角，通过个性、动作和情绪完成趣味表达。", starter: "把商品塑造成有性格的拟人角色，创作一条轻快、有趣的短广告。", cover: "/assets/prototype/photo-1608248543803-ba4f8c70ae0b.jpg" },
+  { name: "达人口播种草", category: "speaker", mode: "video", title: "达人口播种草", desc: "用真实体验与生活化表达建立信任，适合电商和本地生活内容。", starter: "创作一条真实自然的达人口播种草视频，重点讲清使用场景和核心卖点。", cover: "/assets/prototype/photo-1494790108377-be9c29b29330.jpg" },
+  { name: "商品图一键成片", category: "commerce", mode: "video", title: "商品图一键成片", desc: "从商品参考图建立镜头语言，自动补齐场景、动作与转场。", starter: "根据我上传的商品图片生成一条节奏清晰的电商短视频。", cover: "/assets/prototype/photo-1556228578-8c89e6adf883.jpg" },
+  { name: "鱼眼换装", category: "visual", mode: "video", title: "鱼眼换装", desc: "强调近距离透视与连续变装节奏，适合服饰和人物视觉内容。", starter: "创作一条鱼眼镜头风格的连续换装视频，人物和服装需要保持稳定。", cover: "/assets/prototype/photo-1483985988355-763728e1935b.jpg" },
+  { name: "点触换款", category: "visual", mode: "video", title: "点触换款", desc: "用统一构图和动作触发商品变化，快速展示多个款式或 SKU。", starter: "创作一条通过点击动作连续切换不同商品款式的短视频。", cover: "/assets/prototype/unbranded-running-shoe-remix.png" },
+  { name: "探店漫游", category: "story", mode: "video", title: "探店漫游", desc: "以空间动线串联门店环境、服务细节与主推项目。", starter: "根据门店素材创作一条有路线感和空间氛围的探店漫游视频。", cover: "/assets/prototype/photo-1497366754035-f200968a6e72.jpg" },
+  { name: "品牌质感大片", category: "visual", mode: "video", title: "品牌质感大片", desc: "通过统一的光影、材质与镜头节奏建立更强的品牌识别。", starter: "创作一条强调光影、材质和品牌气质的高级感商品短片。", cover: "/assets/prototype/video-free-cinematic.png" },
+];
+
+const IMAGE_PRESETS: PresetItem[] = [
+  { name: "商品场景套图", category: "product", mode: "image", title: "商品场景套图", desc: "一次生成多张统一视觉的电商图片，覆盖主图、场景和细节表达。", starter: "根据商品参考图生成一组统一风格的主图、场景图和细节图。", cover: "/assets/prototype/photo-1556229010-6c3f2c9ca5f8.jpg" },
+  { name: "极简棚拍", category: "product", mode: "image", title: "极简棚拍", desc: "干净背景、柔和投影与明确主体，适合商品主图和详情页头图。", starter: "生成一组留白克制、光线干净的极简棚拍商品图。", cover: "/assets/prototype/photo-1523275335684-37898b6baf30.jpg" },
+  { name: "清透自然光人像", category: "portrait", mode: "image", title: "清透自然光人像", desc: "保留真实肤质与自然光影，适合人物种草和生活方式内容。", starter: "生成一组清透自然光、肤色真实的人物氛围图。", cover: "/assets/prototype/photo-1524504388940-b1c1722653e1.jpg" },
+  { name: "生活方式场景", category: "scene", mode: "image", title: "生活方式场景", desc: "将商品融入真实空间和使用动作，强调自然、可信的生活气息。", starter: "把商品放入真实、舒适的生活方式场景中，生成自然使用感的图片。", cover: "/assets/prototype/photo-1600210492486-724fe5c67fb0.jpg" },
+  { name: "高级奢华质感", category: "style", mode: "image", title: "高级奢华质感", desc: "通过深色环境、局部高光和材质细节强化品牌高级感。", starter: "生成一组深色光影、精致材质与高级氛围的品牌视觉图片。", cover: "/assets/prototype/video-quick-cinematic-v2.png" },
+  { name: "复古胶片风格", category: "style", mode: "image", title: "复古胶片风格", desc: "使用低饱和色彩、胶片颗粒和柔和对比形成怀旧情绪。", starter: "生成一组低饱和、细腻颗粒与复古色调的胶片感图片。", cover: "/assets/prototype/photo-1485846234645-a62644f84728.jpg" },
+];
+
+const VIDEO_FILTERS = [
+  { key: "all", label: "全部" },
+  { key: "story", label: "剧情" },
+  { key: "commerce", label: "电商" },
+  { key: "speaker", label: "口播" },
+  { key: "visual", label: "视觉" },
+];
+
+const IMAGE_FILTERS = [
+  { key: "all", label: "全部" },
+  { key: "product", label: "商品" },
+  { key: "portrait", label: "人像" },
+  { key: "scene", label: "场景" },
+  { key: "style", label: "风格" },
+];
+
+const VIDEO_MODELS = ["Seedance 2.5", "Seedance 2.0", "Seedance 2.0 Fast", "Seedance 2.0 Mini"];
+const IMAGE_MODELS = ["Seedream5.0", "YQ image2"];
+const VIDEO_DURATIONS = ["4 秒", "5 秒", "6 秒", "7 秒", "8 秒", "9 秒", "10 秒", "11 秒", "12 秒", "13 秒", "14 秒", "15 秒", "30 秒"];
+const IMAGE_COUNTS = ["1 张", "2 张", "4 张", "8 张"];
+const RATIOS = ["9:16", "16:9", "1:1", "4:3", "3:4"];
+
+const MENTION_REF_LIMIT = 5;
+
+const MENTION_TABS: Array<{ type: CreationRef["type"]; label: string; Icon: typeof ImageIcon }> = [
+  { type: "asset", label: "素材", Icon: ImageIcon },
+  { type: "character", label: "角色", Icon: UserRound },
+  { type: "model", label: "模特", Icon: Users },
+  { type: "product", label: "商品", Icon: Box },
+  { type: "scene", label: "场景", Icon: FolderOpen },
+];
+
+function formatRelativeTime(iso: string) {
+  const then = new Date(iso).getTime();
+  if (Number.isNaN(then)) return "";
+  const minutes = Math.floor((Date.now() - then) / 60000);
+  if (minutes < 1) return "刚刚";
+  if (minutes < 60) return `${minutes} 分钟前`;
+  const hours = Math.floor(minutes / 60);
+  if (hours < 24) return `${hours} 小时前`;
+  const days = Math.floor(hours / 24);
+  return days < 30 ? `${days} 天前` : new Date(then).toLocaleDateString("zh-CN");
+}
+
+function toOptions(values: string[]) {
+  return values.map((value) => ({ value, label: value }));
+}
+
+export function OmniCreatePage({
+  navigate,
+  onNotify,
+}: {
+  navigate: NavigateFn;
+  onNotify?: (type: "success" | "error" | "info", text: string) => void;
+}) {
+  const [outputMode, setOutputMode] = useState<OutputMode>("video");
+  const [selectedCase, setSelectedCase] = useState<PresetItem | null>(null);
+  const [prompt, setPrompt] = useState("");
+  const [attachments, setAttachments] = useState<Attachment[]>([]);
+  const [model, setModel] = useState("Seedance 2.5");
+  const [resolution, setResolution] = useState("1080p");
+  const [ratio, setRatio] = useState("9:16");
+  const [duration, setDuration] = useState("智能时长");
+  const [customDurationOn, setCustomDurationOn] = useState(false);
+  const [durationMenuOpen, setDurationMenuOpen] = useState(false);
+  const [uploadMenuOpen, setUploadMenuOpen] = useState(false);
+  const [mentionMenuOpen, setMentionMenuOpen] = useState(false);
+  const [mentionTab, setMentionTab] = useState<CreationRef["type"]>("asset");
+  const [mentionLoading, setMentionLoading] = useState(false);
+  const [mentionResults, setMentionResults] = useState<CreationRef[]>([]);
+  const [typeLabels, setTypeLabels] = useState<Record<string, string>>({});
+  const [pendingRefs, setPendingRefs] = useState<CreationRef[]>([]);
+  const [previewCase, setPreviewCase] = useState<PresetItem | null>(null);
+  const [activeCategory, setActiveCategory] = useState("all");
+  const fileInputRef = useRef<HTMLInputElement>(null);
+  const toolsRef = useRef<HTMLDivElement>(null);
+  const [starting, setStarting] = useState(false);
+
+  useEffect(() => {
+    if (outputMode === "image") {
+      setModel("Seedream5.0");
+      setResolution("模型默认");
+      setRatio("1:1");
+      setDuration("1 张");
+      setCustomDurationOn(true);
+    } else {
+      setModel("Seedance 2.5");
+      setResolution("1080p");
+      setRatio("9:16");
+      setDuration("智能时长");
+      setCustomDurationOn(false);
+    }
+    setActiveCategory("all");
+    setDurationMenuOpen(false);
+    setSelectedCase((prev) => (prev && prev.mode !== outputMode ? null : prev));
+  }, [outputMode]);
+
+  useEffect(() => {
+    const onDown = (event: MouseEvent) => {
+      const target = event.target as Node;
+      if (toolsRef.current?.contains(target)) return;
+      setUploadMenuOpen(false);
+      setMentionMenuOpen(false);
+      setDurationMenuOpen(false);
+    };
+    document.addEventListener("mousedown", onDown);
+    return () => document.removeEventListener("mousedown", onDown);
+  }, []);
+
+  const filters = outputMode === "video" ? VIDEO_FILTERS : IMAGE_FILTERS;
+  const presets = useMemo(() => {
+    const list = outputMode === "video" ? VIDEO_PRESETS : IMAGE_PRESETS;
+    if (activeCategory === "all") return list;
+    return list.filter((item) => item.category === activeCategory);
+  }, [outputMode, activeCategory]);
+
+  const applyPreset = (preset: PresetItem) => {
+    setSelectedCase(preset);
+    setPrompt(preset.starter);
+    setPreviewCase(null);
+    onNotify?.("info", `已选择预设：${preset.name}`);
+  };
+
+  const openMentions = async (query = "", type: CreationRef["type"] = mentionTab) => {
+    setMentionTab(type);
+    setMentionMenuOpen(true);
+    setUploadMenuOpen(false);
+    setDurationMenuOpen(false);
+    setMentionLoading(true);
+    setMentionResults([]);
+    try {
+      const res = await api.searchMentions({ q: query, types: [type], limit: 12 });
+      setMentionResults(res.results);
+      setTypeLabels(res.type_labels);
+    } catch (error) {
+      onNotify?.("error", (error as Error).message);
+    } finally {
+      setMentionLoading(false);
+    }
+  };
+
+  const insertMention = (ref: CreationRef) => {
+    if (pendingRefs.some((r) => r.id === ref.id)) {
+      setMentionMenuOpen(false);
+      return;
+    }
+    if (pendingRefs.length >= MENTION_REF_LIMIT) {
+      onNotify?.("info", `最多引用 ${MENTION_REF_LIMIT} 个`);
+      setMentionMenuOpen(false);
+      return;
+    }
+    setPendingRefs((prev) => [...prev, ref]);
+    setPrompt((prev) => prev.replace(/@\S*$/, "").replace(/\s+$/, " "));
+    setMentionMenuOpen(false);
+  };
+
+  const handleFileChange = (event: React.ChangeEvent<HTMLInputElement>) => {
+    const files = Array.from(event.target.files || []);
+    if (!files.length) return;
+    setAttachments((prev) => [
+      ...prev,
+      ...files.map((file) => ({
+        name: file.name,
+        type: file.type,
+        url: URL.createObjectURL(file),
+        source: "local" as const,
+      })),
+    ]);
+    setUploadMenuOpen(false);
+    event.target.value = "";
+  };
+
+  return (
+    <section className="page-view omni-create-page omni-home-page">
+      <div className="omni-home-shell">
+        <header className="omni-home-hero">
+          <button type="button" className="omni-home-history" onClick={() => navigate("omniHistory")}>
+            <History />
+            创作历史
+          </button>
+          <span className="omni-home-kicker">
+            <Sparkles /> YINGQING CREATIVE AGENT
+          </span>
+          <h1>和全能创作聊聊你的想法</h1>
+          <p>选择一种创作方法，或直接描述你想生成的画面。</p>
+          <div className="omni-output-switch" aria-label="输出类型">
+            <button type="button" className={outputMode === "video" ? "active" : ""} onClick={() => setOutputMode("video")}>视频创作</button>
+            <button type="button" className={outputMode === "image" ? "active" : ""} onClick={() => setOutputMode("image")}>图片创作</button>
+          </div>
+        </header>
+
+        <section className="omni-start-composer" aria-label="全能创作输入区">
+          <div className="omni-selected-case" hidden={!selectedCase}>
+            <span>
+              <WandSparkles />
+              <strong>{selectedCase?.name}</strong>
+            </span>
+            <button type="button" aria-label="取消预设" onClick={() => setSelectedCase(null)}>
+              <X />
+            </button>
+          </div>
+          <div className="omni-start-attachments" aria-live="polite">{pendingRefs.map((ref) => (
+            <span className="omni-attachment-chip" key={ref.id}>
+              {ref.cover ? <img src={ref.cover} alt="" /> : <ImageIcon />}
+              <span>{ref.name.split(" · ")[0]}</span>
+              <button
+                type="button"
+                className="omni-attachment-remove"
+                aria-label={`删除 ${ref.name}`}
+                onClick={() => setPendingRefs((prev) => prev.filter((item) => item.id !== ref.id))}
+              >
+                <X />
+              </button>
+            </span>
+          ))}{attachments.map((file, index) => (
+            <span className="omni-attachment-chip" key={`${file.name}-${index}`}>
+              {file.type.startsWith("video") ? <Video /> : <ImageIcon />}
+              <span>{file.name}</span>
+              <button
+                type="button"
+                className="omni-attachment-remove"
+                aria-label={`删除 ${file.name}`}
+                onClick={() => setAttachments((prev) => prev.filter((_, i) => i !== index))}
+              >
+                <X />
+              </button>
+            </span>
+          ))}</div>
+          <textarea
+            id="omniStartPrompt"
+            rows={3}
+            placeholder="描述你想制作的内容，@ 可引用商品、模特、场景或已有素材……"
+            value={prompt}
+            onChange={(event) => {
+              const value = event.target.value;
+              setPrompt(value);
+              const caret = event.target.selectionStart ?? 0;
+              if (caret > 0 && value.charAt(caret - 1) === "@") void openMentions();
+            }}
+          />
+          <div className="omni-start-toolbar">
+            <div className="omni-start-tools" ref={toolsRef}>
+              <div className="omni-upload-wrap">
+                <button
+                  type="button"
+                  className="omni-icon-tool"
+                  aria-label="添加参考素材"
+                  onClick={() => {
+                    setUploadMenuOpen((open) => !open);
+                    setMentionMenuOpen(false);
+                    setDurationMenuOpen(false);
+                  }}
+                >
+                  <Plus />
+                </button>
+                <div className="omni-upload-menu" hidden={!uploadMenuOpen}>
+                  <strong>添加参考素材</strong>
+                  <button
+                    type="button"
+                    onClick={() => {
+                      setUploadMenuOpen(false);
+                      void openMentions();
+                    }}
+                  >
+                    <FolderOpen />
+                    <span>从资产库选择<small>使用平台已有商品、人物或场景</small></span>
+                  </button>
+                  <button type="button" onClick={() => fileInputRef.current?.click()}>
+                    <Upload />
+                    <span>本地上传<small>添加电脑中的图片或视频</small></span>
+                  </button>
+                </div>
+              </div>
+              <input
+                ref={fileInputRef}
+                type="file"
+                accept="image/*,video/*"
+                multiple
+                hidden
+                onChange={handleFileChange}
+              />
+              <div className="omni-mention-wrap">
+                <button
+                  type="button"
+                  className="omni-icon-tool"
+                  aria-label="引用素材"
+                  onClick={() => {
+                    if (mentionMenuOpen) setMentionMenuOpen(false);
+                    else void openMentions("", mentionTab);
+                    setUploadMenuOpen(false);
+                    setDurationMenuOpen(false);
+                  }}
+                >
+                  @
+                </button>
+                <div className="omni-session-mention-menu" hidden={!mentionMenuOpen} role="dialog" aria-label="引用素材">
+                  <div className="omni-at-cats" role="tablist">
+                    {MENTION_TABS.map((tab) => (
+                      <button
+                        type="button"
+                        key={tab.type}
+                        role="tab"
+                        aria-selected={mentionTab === tab.type}
+                        className={mentionTab === tab.type ? "is-on" : ""}
+                        onClick={() => { if (mentionTab !== tab.type) void openMentions("", tab.type); }}
+                      >
+                        <tab.Icon size={14} />
+                        {tab.label}
+                      </button>
+                    ))}
+                  </div>
+                  <div className="omni-at-list">
+                    {mentionLoading ? (
+                      <div className="omni-at-loading" aria-live="polite">
+                        <span className="omni-send-spinner" />
+                        加载中
+                      </div>
+                    ) : mentionResults.length === 0 ? (
+                      <strong>这类还没有可引用的内容</strong>
+                    ) : (
+                      mentionResults.map((ref) => (
+                        <button type="button" key={ref.id} onClick={() => insertMention(ref)}>
+                          {ref.cover ? <img src={ref.cover} alt="" /> : <Play />}
+                          <span>
+                            {ref.name.split(" · ")[0]}
+                            <small>{typeLabels[ref.type] || MENTION_TABS.find((tab) => tab.type === ref.type)?.label}</small>
+                          </span>
+                        </button>
+                      ))
+                    )}
+                  </div>
+                </div>
+              </div>
+
+              <label className="omni-parameter omni-parameter-model">
+                <CustomSelect
+                  fill
+                  size="sm"
+                  aria-label={outputMode === "video" ? "视频模型" : "图片模型"}
+                  value={model}
+                  onChange={setModel}
+                  options={toOptions(outputMode === "video" ? VIDEO_MODELS : IMAGE_MODELS)}
+                />
+              </label>
+              <label className={`omni-parameter${outputMode === "image" ? " is-hidden" : ""}`}>
+                <CustomSelect
+                  fill
+                  size="sm"
+                  aria-label="分辨率"
+                  value={resolution}
+                  onChange={setResolution}
+                  options={toOptions(["1080p", "720p", "480p"])}
+                />
+              </label>
+              <label className="omni-parameter">
+                <CustomSelect
+                  fill
+                  size="sm"
+                  aria-label="画面比例"
+                  value={ratio}
+                  onChange={setRatio}
+                  options={toOptions(RATIOS)}
+                />
+              </label>
+              <div className={`omni-duration-control${outputMode === "image" ? " is-image-count" : ""}`}>
+                <button
+                  type="button"
+                  className="omni-duration-trigger"
+                  aria-expanded={durationMenuOpen}
+                  onClick={() => {
+                    setDurationMenuOpen((open) => !open);
+                    setUploadMenuOpen(false);
+                    setMentionMenuOpen(false);
+                  }}
+                >
+                  <span>{duration}</span>
+                  <ChevronDown />
+                </button>
+                <div className="omni-duration-menu" hidden={!durationMenuOpen}>
+                  <span className="omni-duration-title">{outputMode === "image" ? "生成张数" : "时长"}</span>
+                  <div className="omni-duration-modes">
+                    <button
+                      type="button"
+                      className={!customDurationOn ? "active" : ""}
+                      onClick={() => {
+                        setCustomDurationOn(false);
+                        setDuration("智能时长");
+                        setDurationMenuOpen(false);
+                      }}
+                    >
+                      <Sparkles />
+                      <span>智能时长</span>
+                    </button>
+                    <button
+                      type="button"
+                      className={customDurationOn ? "active" : ""}
+                      onClick={() => setCustomDurationOn(true)}
+                    >
+                      <SlidersHorizontal />
+                      <span>自定义时长</span>
+                    </button>
+                  </div>
+                  <div className="omni-duration-values" hidden={outputMode === "video" && !customDurationOn}>
+                    {(outputMode === "image" ? IMAGE_COUNTS : VIDEO_DURATIONS).map((value) => (
+                      <button
+                        type="button"
+                        key={value}
+                        className={duration === value ? "active" : ""}
+                        onClick={() => {
+                          setDuration(value);
+                          setCustomDurationOn(true);
+                          setDurationMenuOpen(false);
+                        }}
+                      >
+                        {value}
+                      </button>
+                    ))}
+                  </div>
+                </div>
+              </div>
+            </div>
+            <button
+              type="button"
+              className="omni-start-generate"
+              disabled={starting}
+              onClick={() => {
+                const text = prompt.trim();
+                if (!text && !selectedCase && attachments.length === 0) {
+                  onNotify?.("info", "请先输入你想制作的内容，或选择一个创作预设");
+                  return;
+                }
+                if (starting) return;
+                setStarting(true);
+                // 会话 mode 与顶栏参数在这里定死,进对话页后不再改(契约 §0)
+                void api
+                  .createCreation({
+                    title: (text || selectedCase?.title || "未命名创作").slice(0, 20),
+                    mode: outputMode,
+                    preset: selectedCase?.name || "",
+                    params: {
+                      model,
+                      ratio,
+                      ...(outputMode === "video"
+                        ? { resolution, duration }
+                        : { count: duration }),
+                    },
+                  })
+                  .then((conversation) => {
+                    // 首条消息交给对话页发,避免这里再复制一份 SSE 消费逻辑
+                    navigate("omniSession", { conversationId: conversation.id, firstMessage: text, firstRefs: pendingRefs });
+                  })
+                  .catch((error) => {
+                    onNotify?.("error", (error as Error).message);
+                    setStarting(false);
+                  });
+              }}
+            >
+              {starting ? "正在创建…" : "开始创作"}
+            </button>
+          </div>
+        </section>
+
+        <section className="omni-case-library" aria-labelledby="omniCaseTitle">
+          <div className="omni-case-head">
+            <strong className="omni-case-head-label" id="omniCaseTitle">预设分类</strong>
+            <div className="omni-case-filters" role="tablist" aria-label="预设筛选">
+              {filters.map((filter) => (
+                <button
+                  type="button"
+                  key={filter.key}
+                  className={activeCategory === filter.key ? "active" : ""}
+                  onClick={() => setActiveCategory(filter.key)}
+                >
+                  {filter.label}
+                </button>
+              ))}
+            </div>
+          </div>
+          <div className="omni-case-grid">
+            {presets.map((card) => (
+              <button
+                type="button"
+                className={`omni-case-card${selectedCase?.name === card.name ? " active" : ""}`}
+                data-mode={card.mode}
+                key={card.name}
+                onClick={() => setPreviewCase(card)}
+              >
+                <span className="omni-case-visual">
+                  <img src={card.cover} alt="" />
+                  <span className="omni-case-play">
+                    {card.mode === "video" ? <Play className="lucide-play" /> : <ImageIcon />}
+                  </span>
+                </span>
+                <span className="omni-case-copy">
+                  <strong>{card.title}</strong>
+                  <small>{card.desc}</small>
+                </span>
+                <span
+                  className="omni-card-use"
+                  onClick={(event) => {
+                    event.stopPropagation();
+                    applyPreset(card);
+                  }}
+                >
+                  使用
+                </span>
+              </button>
+            ))}
+          </div>
+        </section>
+
+        <div className="omni-preset-modal" hidden={!previewCase}>
+          <button type="button" className="omni-preset-scrim" aria-label="关闭预设详情" onClick={() => setPreviewCase(null)} />
+          {previewCase && (
+            <section className="omni-preset-dialog" role="dialog" aria-modal="true" aria-labelledby="omniPresetDialogTitle">
+              <button type="button" className="omni-preset-close" aria-label="关闭" onClick={() => setPreviewCase(null)}>
+                <X />
+              </button>
+              <div className="omni-preset-media-frame">
+                <img src={previewCase.cover} alt="预设示例" />
+                {previewCase.mode === "video" && (
+                  <span className="omni-preset-video-mark">
+                    <Play />
+                  </span>
+                )}
+              </div>
+              <div className="omni-preset-detail">
+                <span className="omni-preset-kind">{previewCase.mode === "video" ? "视频预设" : "图片预设"}</span>
+                <h2 id="omniPresetDialogTitle">{previewCase.title}</h2>
+                <p>{previewCase.desc}</p>
+                <div className="omni-preset-default">
+                  <span>默认创作方向</span>
+                  <p>{previewCase.starter}</p>
+                </div>
+                <div className="omni-preset-actions">
+                  <button type="button" onClick={() => setPreviewCase(null)}>取消</button>
+                  <button type="button" className="primary" onClick={() => applyPreset(previewCase)}>使用此预设</button>
+                </div>
+              </div>
+            </section>
+          )}
+        </div>
+      </div>
+    </section>
+  );
+}
+
+export function OmniHistoryPage({
+  navigate,
+  onNotify,
+}: {
+  navigate: NavigateFn;
+  onNotify?: (type: "success" | "error" | "info", text: string) => void;
+}) {
+  const [filter, setFilter] = useState<"all" | "running" | "completed">("all");
+  const [items, setItems] = useState<CreationConversation[] | null>(null);
+  const [deleteTarget, setDeleteTarget] = useState<CreationConversation | null>(null);
+  // 同会话页:onNotify 是内联箭头,进依赖会让列表每次 App 重渲染都重拉一遍
+  const notifyRef = useRef(onNotify);
+  notifyRef.current = onNotify;
+
+  useEffect(() => {
+    let cancelled = false;
+    setItems(null);
+    api
+      .listCreations(filter === "all" ? {} : { status: filter })
+      .then((page) => {
+        if (!cancelled) setItems(page.results || []);
+      })
+      .catch((error) => {
+        if (cancelled) return;
+        setItems([]);
+        notifyRef.current?.("error", (error as Error).message);
+      });
+    return () => {
+      cancelled = true;
+    };
+  }, [filter]);
+
+  const remove = async (id: string) => {
+    // 软删:会话没了,已生成的图和视频仍留在资产库里
+    setItems((prev) => (prev || []).filter((item) => item.id !== id));
+    try {
+      await api.deleteCreation(id);
+    } catch (error) {
+      notifyRef.current?.("error", (error as Error).message);
+    }
+  };
+
+  return (
+    <section className="page-view omni-history-page">
+      <header className="omni-history-header">
+        <div className="omni-history-heading">
+          <span>ALL-IN-ONE CREATION</span>
+          <div className="omni-history-title">
+            <button type="button" className="omni-history-back" aria-label="返回" onClick={() => navigate("omniCreate")}>
+              <ArrowLeft />
+            </button>
+            <h1>创作历史</h1>
+          </div>
+          <p>查看和继续全能创作中的每一次独立会话。</p>
+        </div>
+        <div className="omni-history-tools">
+          <div className="omni-history-toolbar">
+            {([
+              ["all", "全部"],
+              ["running", "进行中"],
+              ["completed", "已完成"],
+            ] as const).map(([key, label]) => (
+              <button
+                type="button"
+                key={key}
+                className={filter === key ? "active" : ""}
+                onClick={() => setFilter(key)}
+              >
+                {label}
+              </button>
+            ))}
+          </div>
+          <button type="button" className="omni-history-new" onClick={() => navigate("omniCreate")}>
+            <Plus />
+            新建会话
+          </button>
+        </div>
+      </header>
+      <div className="omni-history-list">
+        {items === null ? (
+          <div className="omni-history-empty">
+            <p>正在加载创作记录……</p>
+          </div>
+        ) : items.length === 0 ? (
+          <div className="omni-history-empty">
+            <p>还没有创作记录，从全能创作开始。</p>
+            <button type="button" onClick={() => navigate("omniCreate")}>
+              去全能创作
+              <ChevronRight size={14} />
+            </button>
+          </div>
+        ) : (
+          items.map((item) => (
+            <article
+              className="omni-history-item"
+              key={item.id}
+              data-status={item.status}
+              onClick={() => navigate("omniSession", { conversationId: item.id })}
+            >
+              {item.cover_url ? (
+                <img src={item.cover_url} alt={item.title} />
+              ) : (
+                <span className="omni-history-placeholder">
+                  {item.mode === "video" ? <Video /> : <ImageIcon />}
+                </span>
+              )}
+              <div>
+                <span
+                  className={`omni-history-status${item.status === "completed" ? " completed" : ""}`}
+                >
+                  {item.status === "completed" ? "已完成" : "进行中"}
+                </span>
+                <h2>{item.title}</h2>
+                <p>
+                  {[
+                    item.preset || "自由创作",
+                    item.mode === "video" ? "视频" : "图片",
+                    item.params?.model,
+                    item.params?.ratio,
+                  ]
+                    .filter(Boolean)
+                    .join(" · ")}
+                </p>
+                <small>{formatRelativeTime(item.last_active_at)}</small>
+              </div>
+              <div className="omni-history-actions">
+                <button
+                  type="button"
+                  aria-label="删除项目"
+                  onClick={(event) => {
+                    event.stopPropagation();
+                    setDeleteTarget(item);
+                  }}
+                >
+                  <Trash2 />
+                </button>
+                <ChevronRight />
+              </div>
+            </article>
+          ))
+        )}
+      </div>
+      <ConfirmModal
+        open={Boolean(deleteTarget)}
+        title="删除会话"
+        icon={<Trash2 size={16} />}
+        detail={`确定删除「${deleteTarget?.title || "未命名创作"}」？会话会从创作历史中移除，已生成的图和视频仍留在资产库里。`}
+        confirmText="删除"
+        onCancel={() => setDeleteTarget(null)}
+        onConfirm={() => {
+          const id = deleteTarget?.id;
+          setDeleteTarget(null);
+          if (id) void remove(id);
+        }}
+      />
+    </section>
+  );
+}

core/frontend/src/routes/projects.tsx

@@ -444,13 +444,13 @@ const PROJ_TABS: Array<{ filter: "all" | "draft" | "wip" | "done" | "fail"; labe
 type ProjTab = (typeof PROJ_TABS)[number]["filter"];
 
 const VIDEO_MAKE: Array<{ title: string; desc: string; page: Page; image: string; primary?: boolean }> = [
-  { title: "一键成片", desc: "输入商品名称并上传图片，自动完成脚本、场景与视频生成。", page: "quickCreate", image: "/assets/yz/video-quick.jpg", primary: true },
+  { title: "一键成片", desc: "输入商品名称并上传图片，自动完成脚本、场景与视频生成。", page: "quickCreate", image: "/assets/prototype/video-oneclick-film-v3.png", primary: true },
-  { title: "专业创作", desc: "逐步控制脚本结构、商品与人物资产和最终视频。", page: "projectWizard", image: "/assets/yz/video-pro.jpg", primary: true },
+  { title: "专业创作", desc: "逐步控制脚本结构、商品与人物资产和最终视频。", page: "projectWizard", image: "/assets/prototype/photo-1485846234645-a62644f84728.jpg", primary: true },
 ];
-const VIDEO_TOOLS: Array<{ title: string; desc: string; page: Page; image: string }> = [
+const VIDEO_TOOLS: Array<{ title: string; desc: string; page: Page; image: string; style?: React.CSSProperties }> = [
-  { title: "自由生成", desc: "使用提示词、参考图片与素材库，自由控制画面和生成参数。", page: "freeCreate", image: "/assets/yz/video-free.jpg" },
+  { title: "自由生成", desc: "使用提示词、参考图片与素材库，自由控制画面和生成参数。", page: "freeCreate", image: "/assets/prototype/video-free-film-v3.png" },
-  { title: "提炼提示词", desc: "从参考视频中提炼可编辑的视频生成提示词。", page: "videoRemix", image: "/assets/yz/video-remix.jpg" },
+  { title: "提炼提示词", desc: "从参考视频中提炼可编辑的视频生成提示词。", page: "videoRemix", image: "/assets/prototype/video-prompt-extract-film-v3.png" },
-  { title: "视频复刻", desc: "保留参考视频的人物、场景与节奏，复刻出自己的带货内容。", page: "videoReplace", image: "/assets/yz/video-replace.jpg" },
+  { title: "视频复刻", desc: "保留参考视频的人物、场景与节奏，复刻出自己的带货内容。", page: "videoReplace", image: "/assets/prototype/video-remix-film-v3.png", style: { objectPosition: "center 58%" } },
 ];
 
 function isQuickCreateProject(project: Project) {
@@ -622,7 +622,7 @@ export function ProjectsPage({ products, projects, loading = false, navigate, op
         <div className="vc-tools three">
           {VIDEO_TOOLS.map((card) => (
             <button className="vc-tool" type="button" key={card.title} onClick={() => navigate(card.page)}>
-              <div className="vc-tool-cover"><img src={card.image} alt="" /></div>
+              <div className="vc-tool-cover"><img src={card.image} alt="" style={card.style} /></div>
               <div className="vc-tool-body">
                 <div className="vc-tool-title">
                   <h3>{card.title}</h3>

core/frontend/src/routes/route-config.ts

@@ -29,6 +29,9 @@ export type Page =
   | "assetFactory"
   | "freeCreate"
   | "quickCreate"
+  | "omniCreate"
+  | "omniHistory"
+  | "omniSession"
   | "videoRemix"
   | "videoReplace"
   | "imageOptimize"
@@ -46,6 +49,12 @@ export type ResolvedRoute = {
   authMode: AuthMode;
   productId?: string;
   projectId?: string;
+  // 全能创作对话页的会话 id(/omni-session/<id>)
+  conversationId?: string;
+  // 从首页「开始创作」带过来的首条消息。**只经 route state 透传,不进 URL** ——
+  // 刷新后它已经在库里了,再发一遍会重复。
+  firstMessage?: string;
+  firstRefs?: import("../types").CreationRef[];
   hash?: string;
   // 视频项目页初始 tab(all/wip/done/fail):由 navigate 透传,刷新/前进后退不持久(回默认 all)。
   tab?: string;
@@ -55,6 +64,9 @@ export type ResolvedRoute = {
 export type NavigateOptions = {
   productId?: string;
   projectId?: string;
+  conversationId?: string;
+  firstMessage?: string;
+  firstRefs?: import("../types").CreationRef[];
   replace?: boolean;
   hash?: string;
   // 视频项目页初始 tab(all/wip/done/fail):仅经 route state 透传给 ProjectsPage,不进 URL path。
@@ -107,11 +119,14 @@ export const routeLabels: Record<Page, string> = {
   team: "团队",
   messages: "消息",
   assetFactory: "图片工具",
+  omniCreate: "全能创作",
+  omniHistory: "创作历史",
+  omniSession: "全能创作",
   freeCreate: "自由创作",
   quickCreate: "一键成片",
   videoRemix: "提炼提示词",
   videoReplace: "视频复刻",
-  imageOptimize: "图片创作",
+  imageOptimize: "自由创作",
   modelPhoto: "模特上身图",
   modelPhotoDemoA: "模特图方案 A",
   modelPhotoDemoB: "模特图方案 B",
@@ -128,6 +143,8 @@ export function isPage(value: string): value is Page {
 
 export function parentPage(page: Page): Page {
   if (["productDetail", "productCreateUpload"].includes(page)) return "products";
+  if (page === "omniHistory") return "omniCreate";
+  if (page === "omniSession") return "omniHistory";
   if (["projectWizard", "freeCreate", "quickCreate", "videoRemix", "videoReplace", "pipeline"].includes(page)) return "projects";
   if (["imageOptimize", "modelPhoto", "modelPhotoDemoA", "modelPhotoDemoB", "platformCover"].includes(page)) {
     return "assetFactory";
@@ -170,6 +187,11 @@ export function resolveRoute(): ResolvedRoute {
   if (path === "/team") return { page: "team", authMode: "login", hash };
   if (path === "/messages") return { page: "messages", authMode: "login", hash };
   if (path === "/asset-factory") return { page: "assetFactory", authMode: "login", hash };
+  if (path === "/omni-create") return { page: "omniCreate", authMode: "login", hash };
+  if (path === "/omni-history") return { page: "omniHistory", authMode: "login", hash };
+  if (path.startsWith("/omni-session/")) {
+    return { page: "omniSession", authMode: "login", conversationId: decodeURIComponent(path.slice("/omni-session/".length)), hash };
+  }
   if (path === "/free-create") return { page: "freeCreate", authMode: "login", hash };
   if (path === "/quick-create") {
     return { page: "quickCreate", authMode: "login", productId: search.get("product_id") || undefined, hash };
@@ -217,6 +239,12 @@ export function pathForPage(page: Page, options: NavigateOptions = {}) {
       return "/messages";
     case "assetFactory":
       return "/asset-factory";
+    case "omniCreate":
+      return "/omni-create";
+    case "omniHistory":
+      return "/omni-history";
+    case "omniSession":
+      return options.conversationId ? `/omni-session/${encodeURIComponent(options.conversationId)}` : "/omni-history";
     case "freeCreate":
       return "/free-create";
     case "quickCreate":

core/frontend/src/styles.css

@@ -183,40 +183,12 @@ main { position: relative; background: #fff; }
   inset: 0;
   pointer-events: none;
   background-image:
-    linear-gradient(rgba(0, 47, 167, 0.16) 1px, transparent 1px),
+    linear-gradient(rgba(24, 31, 42, 0.032) 1px, transparent 1px),
-    linear-gradient(90deg, rgba(0, 47, 167, 0.16) 1px, transparent 1px);
+    linear-gradient(90deg, rgba(24, 31, 42, 0.032) 1px, transparent 1px);
   background-size: 48px 48px;
   background-position: -1px -1px;
-  -webkit-mask-image: linear-gradient(
+  -webkit-mask-image: linear-gradient(90deg, #000 0%, rgba(0, 0, 0, 0.78) 17%, transparent 40%, transparent 60%, rgba(0, 0, 0, 0.78) 83%, #000 100%);
-    90deg,
+  mask-image: linear-gradient(90deg, #000 0%, rgba(0, 0, 0, 0.78) 17%, transparent 40%, transparent 60%, rgba(0, 0, 0, 0.78) 83%, #000 100%);
-    #000 0%,
-    rgba(0, 0, 0, 0.58) 2%,
-    rgba(0, 0, 0, 0.3) 16%,
-    rgba(0, 0, 0, 0.12) 30%,
-    rgba(0, 0, 0, 0.03) 40%,
-    transparent 46%,
-    transparent 54%,
-    rgba(0, 0, 0, 0.03) 60%,
-    rgba(0, 0, 0, 0.12) 70%,
-    rgba(0, 0, 0, 0.3) 84%,
-    rgba(0, 0, 0, 0.58) 98%,
-    #000 100%
-  );
-  mask-image: linear-gradient(
-    90deg,
-    #000 0%,
-    rgba(0, 0, 0, 0.58) 2%,
-    rgba(0, 0, 0, 0.3) 16%,
-    rgba(0, 0, 0, 0.12) 30%,
-    rgba(0, 0, 0, 0.03) 40%,
-    transparent 46%,
-    transparent 54%,
-    rgba(0, 0, 0, 0.03) 60%,
-    rgba(0, 0, 0, 0.12) 70%,
-    rgba(0, 0, 0, 0.3) 84%,
-    rgba(0, 0, 0, 0.58) 98%,
-    #000 100%
-  );
 }
 .scatter { position: absolute; font-family: 'JetBrains Mono', monospace; font-size: 12px; line-height: 1.05; color: var(--ink-4); white-space: pre; pointer-events: none; opacity: .8; letter-spacing: .04em; }
 .tag-corner { position: absolute; color: var(--ink-3); font-family: 'JetBrains Mono', monospace; font-size: 12px; letter-spacing: .06em; pointer-events: none; opacity: .85; z-index: 1; }
@@ -494,6 +466,7 @@ table.t tbody tr:hover { background: var(--bg-soft); }
 /* ─── Toast ─── */
 .toast {
   position: fixed; bottom: 24px; right: 24px;
+  max-width: min(360px, calc(100vw - 32px));
   background: var(--card);
   border: 1px solid var(--border);
   padding: 12px 16px;
@@ -514,7 +487,7 @@ table.t tbody tr:hover { background: var(--bg-soft); }
   flex-shrink: 0;
 }
 .toast .ic-t svg { width: 12px; height: 12px; }
-.toast .txt { font-size: 13px; color: var(--ink); }
+.toast .txt { font-size: 13px; color: var(--ink); overflow-wrap: anywhere; }
 .toast .txt .mono { font-family: 'JetBrains Mono', monospace; font-size: 12px; color: var(--ink-3); display: block; margin-top: 2px; letter-spacing: .02em; }
 
 /* ─── Modal ─── */

core/frontend/src/types.ts

@@ -867,3 +867,67 @@ export type BillingConfigInfo = {
   // 当前请求者团队的价格系数(差异化调价,默认 "1"):预估所见即所扣
   team_price_multiplier?: string;
 };
+
+// ── 全能创作(契约见仓库根 `全能创作-契约-2026-09-02.md`)
+
+/** @引用的实体。**必须整条存进消息的 refs**,只把 name 拼进文本后端就取不到卖点和参考图。 */
+export type CreationRef = {
+  type: "product" | "model" | "character" | "scene" | "asset";
+  id: string;
+  name: string;
+  cover?: string;
+};
+
+/** 追问卡里的一个控件(后端 ask_user 工具产出)。 */
+export type CreationField = {
+  key: string;
+  label: string;
+  type: "single" | "multi" | "text" | "asset";
+  required?: boolean;
+  options?: Array<{ value: string; label: string }>;
+  asset_types?: CreationRef["type"][];
+  placeholder?: string;
+};
+
+export type CreationMessageKind =
+  | "text"
+  | "elicit"
+  | "strategy"
+  | "plan"
+  | "prompt_file"
+  | "confirm"
+  | "generating"
+  | "result"
+  | "error";
+
+/** 对话流里的一条消息。**按 kind 分发到不同卡片组件**,结构化内容全在 payload 里。 */
+export type CreationMessage = {
+  id: string;
+  role: "user" | "assistant" | "system";
+  kind: CreationMessageKind;
+  text: string;
+  payload: Record<string, unknown>;
+  refs: CreationRef[];
+  task: string | null;
+  seq: number;
+  created_at: string;
+};
+
+export type CreationConversation = {
+  id: string;
+  title: string;
+  mode: "video" | "image";
+  preset: string;
+  params: Record<string, string>;
+  status: "running" | "completed" | "failed";
+  message_count: number;
+  cover_url: string;
+  last_active_at: string;
+  created_at: string;
+  updated_at: string;
+};
+
+export type CreationConversationDetail = CreationConversation & {
+  messages: CreationMessage[];
+  pinned_refs: CreationRef[];
+};

全能创作-契约-2026-09-02.md

@@ -0,0 +1,255 @@
+# 全能创作 · 前后端契约(V1)
+
+> 2026-09-02 定案。改这份文件 = 改前后端两侧,必须同步。
+> 设计稿:`影擎 - 欢迎回来.html` 的 `omni-create-page` / `omni-session-page` / `omni-history-page`。
+
+## 0 · 定案(不再讨论)
+
+| 项 | 定案 |
+| --- | --- |
+| 视频链路 | **单次出片**:AI 把方案编译成一个长 prompt,一次 Seedance 2.5 调用(≤30 秒)。方案卡里的「镜头 1-4 矩阵」只是给用户看的说明,不拆成 4 个任务 |
+| 会话模式 | 发起时选定 `video` / `image`,**会话内不可切换**。顶栏模型/分辨率/比例/时长跟着 mode 固定 |
+| 追问形态 | **对话流里的卡片**(进消息历史、可回看),支持 单选 / 多选 / 填空 / 选素材 |
+| 策略卡 · 方案卡 | **AI 真生成**(新 skill `omni-creative-strategy`),不是模板 |
+| @ 引用范围 | 商品(卖点+主图) · 角色/模特(锁脸) · 场景/资产库任意图。**不含**历史项目;**不含**本会话产物(产物靠记忆层自动带) |
+| 图片会话 | 无确认闸门,聊完直接生成 |
+| 视频会话 | 策略卡 → 方案卡 → **确认(按钮旁显示预计积分)** → 生成 |
+| 重新生成 | 对话流**往下叠加**新结果,旧的留在上面。历史页封面取最新一版 |
+| 编排模型 | `doubao-seed-2-1-pro-260628`(火山直连),`gpt-5.5`(tokenssr)兜底 |
+| 生成模型 | 图 `doubao-seedream-5-0-260128` / `gpt-image-2`;视频 `doubao-seedance-2-5-260628` |
+
+**改图 = 重新生成**,不做局部编辑。带上一版当参考图重跑一次。
+
+---
+
+## 1 · 数据模型
+
+### CreationConversation(会话)
+```
+id            uuid
+team          FK accounts.Team      (TeamOwnedModel)
+created_by    FK accounts.User
+title         str(120)              首条用户消息前 20 字,可改名
+mode          "video" | "image"     发起时定死
+preset        str(64)               预设名,"" = 自由创作
+params        json                  {model, resolution, ratio, duration}  会话级参数
+pinned_refs   json                  [Ref]  本会话锁定的实体(每轮无条件带上 → 锁脸锁商品)
+memory        json                  {summary: str, artifacts: [ArtifactRef], turn_count: int}
+status        "running" | "completed" | "failed"
+last_active_at / is_deleted / purged_at
+```
+
+### CreationMessage(消息)
+```
+id            uuid
+conversation  FK CreationConversation
+role          "user" | "assistant" | "system"
+kind          见 §2 消息类型
+text          str                   纯文字内容(bubble 用)
+payload       json                  按 kind 而定,见 §2
+refs          json                  [Ref]  本条消息引用的实体
+task          FK ai.AITask null     生成类消息挂的任务
+seq           int                   会话内自增,渲染顺序
+created_at
+```
+
+### Ref(引用,结构化 —— 不许只存 "@净颜精华" 字符串)
+```json
+{ "type": "product|model|character|scene|asset",
+  "id": "uuid",
+  "name": "净颜精华",
+  "cover": "https://..." }
+```
+后端 `resolve_refs()` 把 Ref → (文字事实, 参考图 URL 列表)。
+参考图顺序固定:**角色/模特 → 场景 → 商品**(这是 @图N 的语义依据,不跟用户 @ 的先后),
+最多 6 张、同图去重;真人图带 `review_status`/`review_remote_id`,视频路据此换成火山 `asset://`。
+
+| type | 落到哪张表 | 参考图取哪张 |
+| --- | --- | --- |
+| `product` | products.Product | 真实上传主图(排除 AI 生成图) |
+| `model` | assets.Model(模特库) | **三视图优先**,无则形象图 |
+| `character` | Asset category=person | 角色定妆照 |
+| `scene` | Asset category=scene | 场景图 |
+| `asset` | Asset in_library=True | 该图本身 |
+
+查不到的引用(被删/跨团队)进 `missing`,**不抛异常** —— 由 agent 在对话里说明。
+
+---
+
+## 2 · 消息类型(kind)与 payload
+
+| kind | 谁产 | payload | 对应设计稿 |
+| --- | --- | --- | --- |
+| `text` | 双方 | — (用 text 字段) | `.omni-chat-bubble` |
+| `elicit` | AI | `{fields: [Field], submitted: bool, answers: {}}` | **新增卡片** |
+| `strategy` | AI | `{target, trust, belief, direction}` | `.omni-strategy-card` |
+| `plan` | AI | 见下 | `.omni-video-plan-card` |
+| `prompt_file` | AI | `{title, body, ref_count}` | `.omni-prompt-file-card` |
+| `confirm` | AI | `{estimated_credits: int, label: "开始生成"}` | 方案卡下的确认条 |
+| `generating` | AI | `{task_id, kind: "video"\|"image"}` | `.omni-process-card` |
+| `result` | AI | `{task_id, assets: [{id,url,cover,type}], model, resolution, ratio}` | `.omni-result-card` |
+| `error` | AI | `{code, message, refunded: bool}` | 气泡红态 |
+
+### Field(追问控件)
+```json
+{ "key": "product",
+  "label": "这条视频推哪个商品?",
+  "type": "single|multi|text|asset",
+  "required": true,
+  "options": [{"value":"uuid","label":"净颜精华","cover":"https://..."}],
+  "asset_types": ["product","character"],     // type=asset 时,决定弹哪个选择器
+  "placeholder": "比如:通勤补妆"                // type=text 时
+}
+```
+用户提交 → `POST .../messages/` 带 `{kind:"elicit_answer", reply_to: <msg_id>, answers:{...}}`。
+后端把 answers 塞回上下文,继续 agent 循环。
+
+### plan payload
+```json
+{ "usp": "核心效果:一句话讲清为什么值得选",
+  "points": ["使用感受:质地与触感", "转化理由:限时优惠"],
+  "timeline": [{"start":0,"end":2.7,"stage":"Hook","desc":"..."}, ...],
+  "matrix": {"shots": 4, "rows": [{"point":"主打卖点 USP","hits":[1,3]}, ...]},
+  "voice_chars": [51, 60],
+  "ref_count": 3 }
+```
+
+---
+
+## 3 · 接口
+
+| 方法 | 路径 | 说明 |
+| --- | --- | --- |
+| GET | `/api/ai/mentions/?q=&types=product,model,character,scene,asset&limit=` | @ 检索,返回 `{results:[Ref], type_labels:{}}`。**新增** |
+| GET/POST | `/api/ai/creations/` | 会话列表 / 新建(带首条消息即开聊) |
+| GET/PATCH/DELETE | `/api/ai/creations/{id}/` | 详情(含全部消息) / 改名 / 软删 |
+| GET | `/api/ai/creations/{id}/messages/?after_seq=` | 增量拉消息(轮询时只补新的) |
+| POST | `/api/ai/creations/{id}/send/` | 发消息 → **SSE 流**;`kind=confirm` 例外,返回 JSON |
+| GET | `/api/ai/creations/{id}/tasks/{task_id}/poll/` | 轮询生成任务(视频用) |
+
+`POST send/` 请求体:
+```json
+{ "text": "帮我做一条净颜精华的口播种草",
+  "refs": [Ref],
+  "attachments": [{"asset_id":"uuid"}],
+  "kind": "text" | "elicit_answer" | "confirm",
+  "reply_to": "msg_uuid",          // elicit_answer / confirm 时必填
+  "answers": {}                     // elicit_answer 时必填
+}
+```
+
+### SSE 事件(`text/event-stream`,每帧 `data: {json}\n\n`)
+沿用 script_agent 的事件名,新增 3 个。**DRF 必须挂 `ServerSentEventRenderer`,否则 406。**
+
+| event type | 载荷 | 前端动作 |
+| --- | --- | --- |
+| `tool` | `{id,label,status:running\|done\|error}` | 工具卡(理解需求/查商品/写方案…) |
+| `reasoning` | `{text}` | 思考流,纯展示 |
+| `delta` | `{text}` | 逐字追加到当前气泡 |
+| `message` | `{message: CreationMessage}` | **新增**。一条完整消息落库了,整块渲染(策略卡/方案卡/追问卡/结果卡都走它) |
+| `task` | `{task_id, kind}` | **新增**。异步生成已提交,前端开始轮询 |
+| `credits` | `{estimated, balance}` | **新增**。确认按钮旁的积分 |
+| `done` | `{}` | 收流 |
+| `error` | `{detail, error}` | 已回滚积分 |
+
+**铁律:视频 5–10 分钟,绝不在 SSE 里等。** 工具立刻返回 task_id → 落一条 `generating` 消息 → 发 `task` 事件 → 收流。前端轮询完成后把该消息替换成 `result`。
+
+---
+
+## 4 · Agent 工具清单
+
+| 工具 | 参数 | 复用 |
+| --- | --- | --- |
+| `ask_user` | `{fields: [Field]}` | 新写。**这是「小云雀式追问」的唯一入口** |
+| `search_library` | `{query, types}` | 新写,复用 mentions 检索 |
+| `write_strategy` | `{}` → strategy payload | 新 skill |
+| `write_plan` | `{}` → plan payload | 新 skill |
+| `generate_image` | `{prompt, ref_asset_ids, count, ratio}` | 现有 `GenerateImageView` 服务层 |
+| `write_strategy` | strategy payload | 出策略卡,**不打断循环** |
+| `write_plan` | plan payload + `video_prompt` | 出 方案卡+Prompt卡+确认卡,**打断循环等确认** |
+
+循环上限:单条用户消息最多 **8 轮**工具调用、最多 **1 次**计费生成(防「多做几版」烧积分)。
+
+**三条已固化进代码的铁律:**
+1. `ask_user` 一被调用就**中断循环**等人回答 —— 继续跑等于自问自答。
+2. 生成工具**只提交不等待**,立刻发 `task` 事件收流,前端轮询回填。
+3. SSE 帧必须用 `DjangoJSONEncoder` —— 消息里带 UUID 和 datetime,
+   标准 `json.dumps` 会 TypeError 把整条流当场打断。
+
+会话 mode 决定暴露哪些工具:图片会话只有 `generate_image`,视频会话只有
+`write_strategy` / `write_plan`,互相看不见。
+
+### 视频确认闸门(阶段 4)
+
+```
+聊 → [ask_user…] → write_strategy(策略卡,不停)
+                 → write_plan(方案卡 + Prompt卡 + 确认卡,**停**)
+                 → 用户点确认 → 直接出片
+```
+
+**点确认后不再跑模型。** 方案已经确认过了,再让模型决定一次既费钱、又可能它根本不调
+生成工具。`video_prompt` 在 `write_plan` 时就存进确认卡的 payload,确认时照它提交
+`submit_free_video`,返回同步 JSON(不是 SSE)。
+
+确认卡是一次性的:`submitted` 置位后重复提交返回 409 —— 连点两下会出两条片、扣两次积分。
+但**提交失败要把闸门放回去**(`submitted` 复位),否则积分不足改完也点不了了。
+
+顶栏的模型 label(「Seedance 2.5」)要翻成火山真名才能提交;`duration` 从「15 秒」里
+抠数字,「智能时长」回落 15,超过 30 秒夹住(火山单次上限)。
+
+---
+
+## 5 · 记忆三层(会话内 SQL 即可,不用向量库)
+
+1. **滚动摘要** `memory.summary` —— 消息数超过 `COMPRESS_AFTER_MESSAGES`(24)时,
+   把最老的一批压成一段,只留最近 `KEEP_RECENT_MESSAGES`(12)条原文喂模型。
+   **`COMPRESS_MIN_BATCH`(8)是关键**:没有它的话过了阈值以后每一轮都要多花一次
+   模型调用去重压那么两三句话,长会话成本翻倍。压缩失败静默跳过,摘要是锦上添花。
+2. **实体锁定** `pinned_refs` —— 本会话引用过的商品/角色/场景 + 参考图,**每轮无条件带上**
+3. **产物索引** `memory.artifacts` —— `[{msg_id, asset_id, prompt, kind}]`,让"背景换成夜景"能定位到上一版
+
+---
+
+## 6 · 实施顺序
+
+- [x] 阶段 0 · 本契约
+- [x] 阶段 1 · `CreationConversation` / `CreationMessage` + 迁移 0034 + 会话 CRUD
+- [x] 阶段 2 · `/mentions/` 检索 + `resolve_refs()` → `apps/ai/mentions.py`
+- [x] 阶段 3 · agent 循环 + SSE → `apps/ai/creation_agent.py`,已接 `ask_user` / `search_library` / `generate_image`
+- [x] 阶段 4 · 视频链路:`write_strategy` / `write_plan` + 确认闸门 + `submit_free_video`
+- [x] 阶段 5 · 记忆压缩(`compress_memory`)+ 历史页接后端
+- [x] 阶段 6 · 预设拍法 → `apps/ai/creation_presets.py`(14 条,与前端卡片逐字对应)
+
+前端 `omni-session.tsx`(对话页)已港,设计稿 `omni-session-page` 逐行照抄。
+
+**港页面时踩到的三个坑(以后港别的页面同样要查):**
+1. 设计稿用 `--black` / `--text`,`design-restraint.css` 里没有 → `background: var(--black)`
+   解析失败变透明,白字白底看不见。已在 design-restraint.css 加别名指向 `--accent-black`。
+   **首页 omni-create 之前就带着这个 bug。**
+2. 设计稿的 `.omni-chat-row.user` 撞上 `design-restraint.css` 里的**裸 `.user` 全局类**
+   (侧栏用户胶囊:999 圆角 + 灰底 + space-between),整套样式被传染。改用 `.is-user`。
+3. 设计稿靠 `id="omniSessionPrompt"` 给输入框上样式;React 不写 id 就没样式。已补上 id
+   (与 `omni-create.tsx` 的 `#omniStartPrompt` 一致)。
+
+另:这一版布局是**整页滚 + 输入框 `position: sticky`**,feed 没有自己的滚动条 ——
+对 feed 调 `scrollTo` 是空操作,自动滚到底必须滚 window。
+
+
+---
+
+## 7 · 前端稳定性(2026-09-02 修)
+
+对话页「条来跳去」的四个根因,改别的页面时同样要查:
+
+1. **`onNotify` 是 App 里的内联箭头,每次 App 重渲染都是新身份。**
+   放进 `useEffect` / `useCallback` 依赖 → 整条会话被反复重拉、消息数组被反复替换。
+   **这是抖动的主因。** 解法:存进 ref,回调身份稳定、值永远最新。
+2. **逐字 `scrollIntoView({behavior:"smooth"})`** —— 每个流式字符发一次平滑滚动,
+   动画互相打架。解法:流式期间用 `instant` + rAF 合帧;新消息落地才用 smooth;
+   且用户手动上滑看历史时**不跟**(距底 <120px 才跟)。
+3. **轮询整个替换 messages 数组** → 所有卡片重渲染。解法:按 id + payload 比对,
+   只替换真变了的那几条,其余保持引用不变让 React 跳过。
+4. **流式临时气泡带入场动画** → 逐字重渲染时一直在闪。解法:`.is-live { animation: none }`。
+
+另修:`handleSend` 原来先清输入框再判 `streaming`,流式期间敲回车会把打好的内容
+清掉但消息没发出去。顺序反过来。